Mostafa Khater | Applied Mathematics | Best Researcher Award

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Prof Dr. Mostafa Khater | Applied Mathematics | Best Researcher Award

Professor at School of Medical Informatics and Engineering, Xuzhou Medical University, China

Summary:

Prof. Dr. Mostafa Khater is a prominent figure in applied mathematics and medical informatics, currently serving as a Professor at Xuzhou Medical University, China. He completed his Postdoctoral studies at Jiangsu University in 2022, focusing on computational and numerical simulations of nonlinear evolution equations, and earned his Ph.D. in Mathematics from the same institution in 2020, where he explored traveling wave solutions and their stability. With extensive experience as a lecturer and assistant lecturer at El Obour Higher Institute in Egypt, he has also contributed significantly as an editor for various academic journals and a reviewer for over 75 SCI journals. Prof. Khater has received several prestigious awards, including the Rising Star of Science Award and the Mathematics in Egypt Leader Award in 2023. Fluent in Arabic, English, Chinese, and French, he is skilled in various mathematical software, and his research interests focus on developing innovative numerical techniques for nonlinear partial differential equations.

Profile:

Education:

Prof. Dr. Mostafa Khater possesses a robust educational background in mathematics. He completed his Postdoctoral studies at the Department of Mathematics, Faculty of Science, Jiangsu University, China, in September 2022. His postdoctoral research focused on computational and numerical simulations of nonlinear evolution equations. Prior to this, he earned his Ph.D. in Mathematics from Jiangsu University in September 2020, where his thesis addressed explicit traveling wave solutions and stability properties for a class of nonlinear evolution equations. He also holds a Master of Science Degree (MSD) in Mathematics from Mansoura University, Egypt, obtained in May 2016, with a thesis centered on nonlinear partial differential equations. Prof. Khater’s academic journey began with a Bachelor of Science in Mathematics from Zagazig University, Egypt, which he completed in May 2011. This comprehensive educational foundation has equipped him with the knowledge and expertise necessary for his distinguished career in applied mathematics and medical informatics.

Professional Experience:

Prof. Dr. Mostafa Khater has amassed significant professional experience in the field of applied mathematics and education. He currently holds the position of Professor of Applied Mathematics, Medical Informatics, and Engineering at Xuzhou Medical University in China, a role he began in September 2022 and will continue through September 2025. Prior to this, he completed a postdoctoral fellowship at the School of Science, Jiangsu University, from September 2020 to September 2022. In addition to his academic appointments, Prof. Khater has served as a lecturer in the Department of Mathematics at El Obour Higher Institute in Egypt since September 2020, following his tenure as an assistant lecturer from September 2017 to September 2020. His contributions to the academic community extend to editorial responsibilities for five different journals since March 2018 and reviewing for over 75 SCI journals since May 2017. Prof. Khater’s career also includes teaching mathematics at the secondary school level in Egypt from September 2011 to August 2014, showcasing his commitment to mathematics education across various academic levels.

Research Interests:

Prof. Dr. Mostafa Khater’s research interests lie primarily in the areas of applied mathematics, with a particular focus on nonlinear partial differential equations and their applications in medical informatics and engineering. His research involves the development of innovative computational and numerical techniques for solving complex nonlinear evolution equations, emphasizing explicit traveling wave solutions and their stability properties. Additionally, Prof. Khater is interested in numerical analysis, calculus, basic statistics, linear algebra, and differential equations, which are foundational to his work. His commitment to advancing knowledge in these fields is demonstrated through his extensive publications and active engagement in editorial and review processes for various academic journals. By exploring new methodologies and approaches, he aims to contribute significantly to both theoretical advancements and practical applications in mathematics and its interdisciplinary connections.

Skills:

Prof. Dr. Mostafa Khater possesses a diverse skill set that enhances his capabilities as a researcher and educator in applied mathematics. He is proficient in several languages, including Arabic, English, Chinese, and French, enabling him to communicate effectively in international academic environments. His technical skills are extensive, with expertise in mathematical software such as Maple, Mathematica, MATLAB, and Origin, which he utilizes for computational modeling and simulations. Prof. Khater is also adept in using Photoshop for graphical representations and presentations. Additionally, his strong background in mathematics encompasses areas like calculus, statistics, linear algebra, and numerical analysis, equipping him to tackle complex mathematical problems and contribute to innovative research. His experience as an editor for multiple academic journals and as a reviewer for over 75 SCI journals further highlights his analytical and evaluative skills in the field, underscoring his commitment to advancing mathematical research and education.

Concution:

In light of his extensive experience, notable awards, substantial publication record, and commitment to advancing mathematical research, Prof. Dr. Mostafa Khater stands out as an exceptional candidate for the Best Researcher Award. His contributions not only enrich the field of applied mathematics but also foster international collaboration and innovation.

Publication Top Noted:

  • High Accuracy Solutions for the Pochhammer–Chree Equation in Elastic Media
    • Authors: M.M.A. Khater, S.H. Alfalqi
    • Year: 2024
    • Journal: Scientific Reports
    • Volume: 14(1), Article: 17562
  • Pfaffian Solutions and Nonlinear Dynamics of Surface Waves in Two Horizontal and One Vertical Directions with Dispersion, Dissipation and Nonlinearity Effects
    • Author: M.M.A. Khater
    • Year: 2024
    • Journal: Alexandria Engineering Journal
    • Volume: 108, Pages: 232–243
  • Exploring Plasma Phenomena with the Nizhnik-Novikov-Veselov Formula: Analyzing Ion-Acoustic Waves, Solitons, and Shocks
    • Authors: R. Altuijri, A.-H. Abdel-Aty, K.S. Nisar, M.M.A. Khater
    • Year: 2024
    • Journal: Modern Physics Letters B
    • Volume: 38(32), Article: 2450332
    • Citations: 0
  • Exploring Solitary Waves and Nonlinear Dynamics in the Fractional Chaffee–Infante Equation: A Study Beyond Conventional Diffusion Models
    • Authors: X. Zhang, T.A. Nofal, A. Vokhmintsev, M.M.A. Khater
    • Year: 2024
    • Journal: Qualitative Theory of Dynamical Systems
    • Volume: 23(Suppl 1), Article: 270
    • Citations: 0
  • Wave Propagation Analysis in the Modified Nonlinear Time Fractional Harry Dym Equation: Insights from Khater II Method and B-Spline Schemes
    • Author: M.M.A. Khater
    • Year: 2024
    • Journal: Modern Physics Letters B
    • Volume: 38(29), Article: 2450288
    • Citations: 11
  • Exploring Plasma Dynamics: Analytical and Numerical Insights into Generalized Nonlinear Time Fractional Harry Dym Equation
    • Authors: R. Altuijri, A.-H. Abdel-Aty, K.S. Nisar, M.M.A. Khater
    • Year: 2024
    • Journal: Modern Physics Letters B
    • Volume: 38(28), Article: 2450264
    • Citations: 1
  • Advancing Mathematical Physics: Insights into Solving Nonlinear Time-Fractional Equations
    • Authors: M. Li, W. Zhang, R.A.M. Attia, J.F. Alzaidi, M.M.A. Khater
    • Year: 2024
    • Journal: Qualitative Theory of Dynamical Systems
    • Volume: 23(4), Article: 172
    • Citations: 1
  • Innovative Insights into Wave Phenomena: Computational Exploration of Nonlinear Complex Fractional Generalized-Zakharov System
    • Authors: J. Liu, F. Wang, R.A.M. Attia, J.F. Alzaidi, M.M.A. Khater
    • Year: 2024
    • Journal: Qualitative Theory of Dynamical Systems
    • Volume: 23(4), Article: 170
    • Citations: 1

Md Abu Taher | Cybersecurity | Best Researcher Award

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Mr. Md Abu Taher | Cybersecurity | Best Researcher Award

PhD Student at Florida International University, United States

Summary:

Mr. Md Abu Taher is a dedicated researcher and professional in the field of electrical and computer engineering, currently pursuing his Ph.D. at Florida International University, Miami, with a focus on microgrid distributed control and cybersecurity. His research contributes to enhancing the resilience and security of modern energy systems. He holds a Bachelor’s degree in Electrical and Electronics Engineering from Bangladesh University of Engineering and Technology (BUET). With over a decade of experience, including roles as a Senior Lead Engineer at Grameenphone BD Ltd and Associate Engineer at Orascom BD Ltd, Mr. Taher has worked on energy optimization, power supply resilience, and cybersecurity measures in distributed energy systems. His research has been widely published in leading IEEE journals, emphasizing his expertise in renewable energy, smart grids, and cyber-attack mitigation.

Profile:

Education:

Mr. Md Abu Taher is currently pursuing a Ph.D. in Electrical and Computer Engineering at Florida International University, Miami, FL, USA, with a perfect CGPA of 4.0. His doctoral research focuses on microgrid distributed control and cybersecurity, areas critical to advancing energy security and grid resilience. He is expected to graduate in December 2025. Prior to this, Mr. Taher earned his Bachelor of Science (B.Sc.) degree in Electrical and Electronics Engineering from Bangladesh University of Engineering and Technology (BUET) in June 2008, where he graduated with a CGPA of 3.52 out of 4. His undergraduate studies concentrated on power systems, laying the foundation for his future work in energy systems and renewable energy solutions.

Professional Experience:

Mr. Md Abu Taher has extensive professional experience in the field of electrical engineering and energy systems. From January 2015 to April 2022, he served as a Senior Lead Engineer at Grameenphone BD Ltd, where he played a pivotal role in reducing energy consumption through various optimization techniques. His responsibilities included projecting the annual budget for network expansion and improving power supply resilience by adopting PV-based islanded power supply solutions. Prior to this, he worked as an Associate Engineer at Orascom BD Ltd from June 2008 to December 2014, where he was responsible for estimating total power consumption across the radio network and implementing optimized source selection strategies to reduce energy costs. His professional experience, combined with his academic expertise, has enabled him to make significant contributions to the energy sector, particularly in the areas of power system optimization and renewable energy solutions.

Research Interests:

Mr. Md Abu Taher’s research interests lie at the intersection of renewable energy, microgrid distributed control, and cybersecurity. His Ph.D. work focuses on developing resilient microgrid control systems, addressing the critical issue of energy security. He is particularly interested in analyzing the impact of various cyber-attacks on energy systems, including Distributed Denial-of-Service (DDoS) and False Data Injection (FDI) attacks, and exploring mitigation techniques through advanced machine learning algorithms. Additionally, Mr. Taher is passionate about enhancing the stability and resilience of the U.S. electrical grid, using artificial intelligence (AI) and innovative control strategies to protect distributed energy resources. His research contributes to advancing sustainable energy solutions and fortifying energy infrastructure against disruptions caused by both natural disasters and intentional cyber threats.

Skills:

Mr. Md Abu Taher possesses a diverse skill set that encompasses various aspects of electrical engineering and renewable energy systems. He excels in system design, operation, maintenance, and testing, demonstrating expertise in developing efficient and reliable power delivery systems. Proficient in simulation and modeling, he utilizes advanced software and tools for circuit design and analysis, including MATLAB, ETAP, and OPAL-RT. Mr. Taher also has strong programming skills in Python and expertise in using artificial intelligence techniques for cybersecurity applications. His analytical and problem-solving abilities are complemented by robust project management and organizational skills, enabling him to effectively allocate resources and lead projects. Additionally, he has a proven track record in collaborating with teams, showcasing his leadership and management capabilities in dynamic work environments. This multifaceted skill set positions him well to contribute significantly to innovative energy solutions and research initiatives.

Concution:

Mr. Md Abu Taher’s exceptional combination of academic achievements, publication record, research experience, technical expertise, and industry contributions make him a highly suitable candidate for the Best Researcher Award. His work in renewable energy, microgrid control, and cybersecurity addresses critical challenges in modern power systems, and his innovations have the potential to make a lasting impact on global energy sustainability.

Publication Top Noted:

Reliability analysis of wireless power transfer for electric vehicle charging based on continuous Markov process

  • Authors: M. Behnamfar, M.A. Taher, A. Polowsky, S. Roy, M. Tariq, A. Sarwat
  • Published In: 2023 Fourth International Symposium on 3D Power Electronics Integration and …
  • Citations: 14
  • Year: 2023

Analyzing replay attack impact in DC microgrid consensus control: Detection and mitigation by Kalman-filter-based observer

  • Authors: M.A. Taher, M. Tariq, M. Behnamfar, A.I. Sarwat
  • Published In: IEEE Access
  • Citations: 13
  • Year: 2023

Analyzing the effects of interference and packet loss on consensus-based secondary control in islanded AC microgrid

  • Authors: M.A. Taher, M. Tariq, A.I. Sarwat
  • Published In: 2023 IEEE Design Methodologies Conference (DMC), 1-6
  • Citations: 7
  • Year: 2023

Disruptive effects of denial-of-service (DoS) attacks on microgrid distributed control: Altered communication topology, voltage stability, and accurate power allocation

  • Authors: M.A. Taher, H. Iqbal, M. Tariq, A.I. Sarwat
  • Published In: 2023 IEEE International Conference on Energy Technologies for Future Grids …
  • Citations: 5
  • Year: 2023

Long short term memory utilized photovoltaic inverter humidity controller for capacitor reliability enhancement

  • Authors: S. Roy, A.S. Khan, M.A. Taher, M. Tariq, A. Sarwat
  • Published In: 2023 IEEE International Conference on Energy Technologies for Future Grids …
  • Citations: 5
  • Year: 2023

False Data Injection Attack Detection and Mitigation using Non-linear Autoregressive Exogenous Input-Based Observers in Distributed Control for DC Microgrid

  • Authors: M.A. Taher, M. Behnamfar, A.I. Sarwat, M. Tariq
  • Published In: IEEE Open Journal of the Industrial Electronics Society
  • Citations: 4
  • Year: 2024

Recurrent neural network-based sensor data attacks identification in distributed renewable energy-based DC microgrid

  • Authors: M.A. Taher, H. Iqbal, M. Tariq, A.I. Sarwat
  • Published In: 2024 IEEE Texas Power and Energy Conference (TPEC), 1-6
  • Citations: 4
  • Year: 2024

Enhancing security in islanded AC microgrid: Detecting and mitigating FDI attacks in secondary consensus control through AI-based method

  • Authors: M.A. Taher, M. Tariq, A.I. Sarwat
  • Published In: 2023 IEEE International Conference on Energy Technologies for Future Grids …
  • Citations: 4
  • Year: 2023

Wavelet and signal analyzer based high-frequency ripple extraction in the context of MPPT algorithm in solar PV systems

  • Authors: M.A. Taher, M. Behnamfar, A.I. Sarwat, M. Tariq
  • Published In: IEEE Access
  • Citations: 3
  • Year: 2024

Yongyong Zhang | Ecohydrology | Best Researcher Award

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Prof. Yongyong Zhang | Ecohydrology | Best Researcher Award

Professor at Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, China

Summary:

Prof. Yongyong Zhang is a distinguished researcher and educator specializing in Soil Hydrology and Ecohydrology at the Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, where he has served as a professor since January 2022. He holds a Bachelor’s degree and a Master’s degree in Soil Science from China Agricultural University, followed by a Ph.D. in Soil Hydrology from the Chinese Academy of Sciences. With over 50 peer-reviewed publications to his name, Prof. Zhang’s research primarily focuses on water management and soil dynamics in hyper-arid regions, contributing significantly to sustainable agricultural practices. He has secured numerous research grants totaling over $428,571 as Principal Investigator and has mentored several graduate students, further enhancing his impact in academia. An accomplished speaker, Prof. Zhang has delivered more than 15 invited presentations and authored multiple book chapters. His expertise in ecohydrology positions him as a leading figure in advancing our understanding of soil-water interactions and their implications for environmental sustainability.

Profile:

Education:

Prof. Yongyong Zhang completed his academic training with a solid foundation in soil science and ecohydrology. He earned his Bachelor’s degree in Soil Science from the College of Resources and Environmental Sciences at China Agricultural University, where he developed a keen interest in the interactions between soil and environmental factors. He further advanced his expertise by obtaining a Master’s degree in Soil Science from the same institution, focusing on soil hydrology and its ecological implications. To deepen his research capabilities, Prof. Zhang pursued a Ph.D. in Soil Hydrology at the Chinese Academy of Sciences, where he engaged in rigorous research that integrated theoretical knowledge with practical applications in soil management and conservation. His educational background has equipped him with a comprehensive understanding of soil systems, positioning him as a leader in the field of ecohydrology.

Professional Experience:

Prof. Yongyong Zhang currently serves as a Professor of Soil Hydrology and Ecohydrology at the Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, a position he has held since January 2022. In this role, he conducts advanced research focused on the interactions between soil and hydrological processes, particularly in hyper-arid regions. Prior to this, he built a strong academic foundation through various research and teaching roles, contributing significantly to the field of soil science. Prof. Zhang has authored over 50 peer-reviewed papers, demonstrating his commitment to advancing scientific knowledge. He has also secured 10 grants and fellowships worth $428,571 as Principal Investigator, reflecting his ability to lead impactful research projects. In addition to his research endeavors, he has taught two courses as a co-instructor and has mentored six Master’s students, four of whom have completed their degrees, and one PhD student, showcasing his dedication to student development and academic excellence.

Research Interests:

Prof. Yongyong Zhang’s research interests lie primarily in the fields of Soil Hydrology and Ecohydrology, with a particular focus on understanding the interactions between soil, water, and ecosystems in hyper-arid environments. He investigates soil macroporosity, water flow dynamics, and their implications for agricultural productivity, especially in oasis farmlands. His work aims to explore the effects of climate change, such as nighttime warming, on crop growth and resource capture, contributing to sustainable agricultural practices. Additionally, Prof. Zhang is interested in the role of soil structure and land use in water infiltration processes across different ecosystems. By integrating theoretical approaches with practical applications, his research seeks to address pressing environmental challenges and enhance water management strategies in arid and semi-arid regions. Through his innovative studies, he aims to contribute significantly to the understanding of ecohydrological processes and their implications for ecosystem sustainability and agricultural resilience.

Skills:

Prof. Yongyong Zhang possesses a diverse set of research skills that enable him to excel in the fields of Soil Hydrology and Ecohydrology. His expertise includes advanced techniques in soil moisture measurement and analysis, allowing for accurate assessments of water dynamics within soil profiles. He is skilled in utilizing various hydrological modeling tools to simulate water flow and retention in different land-use contexts, which is critical for understanding ecohydrological interactions in hyper-arid regions. Prof. Zhang also employs statistical analysis and data interpretation methods to analyze complex datasets derived from field experiments and laboratory studies. Additionally, he has experience in conducting multi-scale research, integrating remote sensing data with ground-based measurements to evaluate environmental changes over time. His proficiency in experimental design and fieldwork, combined with strong capabilities in scientific writing and communication, enables him to disseminate findings effectively, thereby advancing knowledge in sustainable land and water management practices. Through his comprehensive skill set, Prof. Zhang significantly contributes to addressing critical challenges in soil and water resource management.

Concution:

Prof. Yongyong Zhang’s extensive research background, substantial publication record, and successful mentoring of graduate students highlight his excellence and commitment to the field of soil hydrology and ecohydrology. His work not only contributes to academic knowledge but also has practical implications for sustainable land and water management in challenging environments. Therefore, he is an exemplary candidate for the Best Researcher Award.

Publication Top Noted:

  • Energy Exchange and Evapotranspiration Over Irrigated Seed Maize Agroecosystems in a Desert-Oasis Region, Northwest China
    • Authors: Y Zhang, W Zhao, J He, K Zhang
    • Year: 2016
    • Journal: Agricultural and Forest Meteorology 223, 48-59
    • Citations: 77
  • Vegetation and Soil Property Response of Short-Time Fencing in Temperate Desert of the Hexi Corridor, Northwestern China
    • Authors: Y Zhang, W Zhao
    • Year: 2015
    • Journal: Catena 133, 43-51
    • Citations: 72
  • Soil Macropore Characteristics Following Conversion of Native Desert Soils to Irrigated Croplands in a Desert-Oasis Ecotone, Northwest China
    • Authors: Y Zhang, W Zhao, L Fu
    • Year: 2017
    • Journal: Soil and Tillage Research 168, 176-186
    • Citations: 64
  • Changes in Species Diversity, Aboveground Biomass, and Vegetation Cover Along an Afforestation Successional Gradient in a Semiarid Desert Steppe of China
    • Authors: B Liu, W Zhao, Z Liu, Y Yang, W Luo, H Zhou, Y Zhang
    • Year: 2015
    • Journal: Ecological Engineering 81, 301-311
    • Citations: 49
  • Soil Susceptibility to Macropore Flow Across a Desert‐Oasis Ecotone of the Hexi Corridor, Northwest China
    • Authors: Y Zhang, W Zhao, J He, L Fu
    • Year: 2018
    • Journal: Water Resources Research 54 (2), 1281-1294
    • Citations: 42
  • Land Use Conversion Influences Soil Respiration Across a Desert-Oasis Ecoregion in Northwest China, With Consideration of Cold Season CO2 Efflux and Its Significance
    • Authors: Y Zhang, W Zhao, L Fu, C Zhao, A Jia
    • Year: 2020
    • Journal: Catena 188, 104460
    • Citations: 38
  • Simulation of Soil Water Dynamics for Uncropped Ridges and Furrows Under Irrigation Conditions
    • Authors: Y Zhang, P Wu, X Zhao, Z Wang
    • Year: 2013
    • Journal: Canadian Journal of Soil Science 93 (1), 85-98
    • Citations: 37

NURENI AZEEZ | Cybersecurity | Excellence in Research Award

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Assoc Prof Dr. NURENI AZEEZ | Cybersecurity | Excellence in Research Award

Associate Professor at University of Lagos, Nigeria

Summary:

Assoc. Prof. Dr. Nureni Azeez is an accomplished academic and researcher currently serving as an Associate Professor in the Department of Computer Sciences at the University of Lagos, Nigeria. He obtained his Ph.D. in Computer Science from the University of the Western Cape, South Africa, focusing on scalability and interoperability in grid-based environments. Dr. Azeez also holds an M.Sc. in Computer Science from the University of Ibadan and a B.Tech. in Computer Science from the Federal University of Technology, Akure. With a strong background in security and privacy, trust management, and web services security, he has made significant contributions through numerous published articles in reputable journals. Dr. Azeez has held various academic roles and leadership positions, emphasizing the integration of technology in development and security.

Profile:

Education:

Assoc. Prof. Dr. Nureni Azeez holds a Ph.D. in Computer Science from the University of the Western Cape, South Africa, completed between May 2010 and March 2013. Prior to this, he obtained a Master of Science (Honours) in Computer Science from the University of Ibadan, Nigeria, in 2008, where he graduated with a Ph.D. grade. He also earned a Bachelor of Technology (Honours) in Computer Science from the Federal University of Technology, Akure, Nigeria, in 2004, achieving Second Class Honours, Upper Division. Dr. Azeez’s educational journey began with an Ordinary National Diploma in Computer Science in 1998 and a Senior Secondary Certificate Examination in 1996, where he achieved distinctions. His foundational education was completed at Ede Muslim Grammar School and Y.T.D School ‘B’ Ojoro, both in Osun State, Nigeria, where he attended from 1983 to 1996.

Professional Experience:

Assoc. Prof. Dr. Nureni Azeez has extensive professional experience in academia and research. He is currently an Associate Professor in the Department of Computer Sciences at the University of Lagos, Nigeria, a position he has held since October 2022. Prior to this, he served as a Senior Lecturer in the same department from October 2019 to October 2022. Dr. Azeez began his academic career as a Lecturer Grade II at the University of Lagos and subsequently progressed to Lecturer Grade I. He also gained valuable experience as a Postdoctoral Fellow at North-West University, South Africa, where he worked in the School of Information Technology. His earlier roles include research and teaching assistantships at the University of the Western Cape, as well as lecturer positions at various institutions in Nigeria. With a focus on computer science education and research, Dr. Azeez has played a significant role in shaping academic programs and mentoring students throughout his career.

Research Interests:

Assoc. Prof. Dr. Nureni Azeez has a diverse range of research interests primarily focused on the intersections of technology and security. His expertise encompasses Security and Privacy, particularly in the context of digital systems and data protection. He is also deeply involved in Trust Management, exploring how to establish and maintain trust in digital interactions. Additionally, Dr. Azeez is interested in Web Services Security, aiming to enhance the safety and reliability of online services. His research extends to ICT4D (Information and Communication Technology for Development), where he examines how technology can facilitate socio-economic growth. Furthermore, he is passionate about E-Health, investigating the role of information technology in improving health services and outcomes. Through his research, Dr. Azeez aims to contribute to the development of secure, efficient, and impactful technological solutions.

Skills:

Assoc. Prof. Dr. Nureni Azeez possesses a robust skill set that encompasses various areas of computer science and technology. His programming expertise includes proficiency in web development using PHP, HTML, XHTML, and MySQL, as well as coding in Assembly Language, Python, JAVA, FORTRAN, and BASIC across both Linux and Windows environments. He has demonstrated his capabilities in cybersecurity, particularly in web services security and machine learning applications in cyber defense. Dr. Azeez is skilled in systems analysis and design, having taught and implemented principles in academic settings. His experience also extends to database management, compiler construction, and the application of algorithms. Additionally, he has strong leadership and organizational skills, having held various academic and administrative roles within the university. His commitment to ongoing learning is evidenced by his participation in numerous training programs and workshops, further enhancing his expertise in emerging technologies and methodologies.

Concution:

In conclusion, Assoc. Prof. Dr. NURENI AZEEZ exemplifies the qualities associated with the Excellence in Research Award. His strong academic background, extensive work experience, active research contributions, leadership roles, and professional engagement collectively highlight his impact in the field of computer science. His commitment to research excellence, innovation, and education positions him as a deserving candidate for this prestigious recognition.

Publication Top Noted:

  • Security and Privacy Issues in E-Health Cloud-Based System: A Comprehensive Content Analysis
    • Authors: NA Azeez, C Van der Vyver
    • Year: 2019
    • Journal: Egyptian Informatics Journal 20 (2), 97-108
    • Citations: 163
  • Windows PE Malware Detection Using Ensemble Learning
    • Authors: NA Azeez, OE Odufuwa, S Misra, J Oluranti, R Damaševičius
    • Year: 2021
    • Journal: Informatics 8 (1), 10
    • Citations: 94
  • Using Wearable Sensors for Remote Healthcare Monitoring System
    • Authors: AP Abidoye, NA Azeez, AO Adesina, KK Agbele, HO Nyongesa
    • Year: 2011
    • Journal: Journal of Sensor Technology 2011
    • Citations: 86
  • Intrusion Detection and Prevention Systems: An Updated Review
    • Authors: NA Azeez, TM Bada, S Misra, A Adewumi, C Van der Vyver, R Ahuja
    • Year: 2020
    • Journal: Data Management, Analytics and Innovation: Proceedings of ICDMAI 2019
    • Citations: 72
  • Cyber Security: Challenges and the Way Forward
    • Authors: NA Ayofe, B Irwin
    • Year: 2010
    • Journal: Comput. Sci. Telecommun. 29, 56-69
    • Citations: 62
  • Identifying Phishing Attacks in Communication Networks Using URL Consistency Features
    • Authors: NA Azeez, BB Salaudeen, S Misra, R Damaševičius, R Maskeliūnas
    • Year: 2020
    • Journal: International Journal of Electronic Security and Digital Forensics 12 (2)
    • Citations: 60
  • Adopting Automated Whitelist Approach for Detecting Phishing Attacks
    • Authors: NA Azeez, S Misra, IA Margaret, L Fernandez-Sanz
    • Year: 2021
    • Journal: Computers & Security 108, 102328
    • Citations: 54
  • Network Intrusion Detection with a Hashing Based Apriori Algorithm Using Hadoop MapReduce
    • Authors: NA Azeez, TJ Ayemobola, S Misra, R Maskeliūnas, R Damaševičius
    • Year: 2019
    • Journal: Computers 8 (4), 86
    • Citations: 49
  • Ancaee: A Novel Clustering Algorithm for Energy Efficiency in Wireless Sensor Networks
    • Authors: AP Abidoye, NA Azeez, AO Adesina
    • Year: 2011
    • Journal: Scientific Research
    • Citations: 40

Ali MANSOUR | Wireless Telecommunication | Best Researcher Award

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Prof. Ali MANSOUR | Wireless Telecommunication | Best Researcher Award

Professor at ENSTA Bretagne, France

Summary:

Prof. Ali Mansour is a distinguished expert in signal processing, specializing in blind source separation, robotics, and electronic warfare. He holds a Ph.D. in Signal – Image – Speech from the Institut National Polytechnique de Grenoble (INPG), France, and the prestigious Habilitation à Diriger des Recherches (HDR) from the Université de Bretagne Occidentale (UBO), France. With a career spanning academia and defense research, Prof. Mansour has published over 87 international papers, authored 5 books, and collaborated with leading universities and research centers worldwide. His work focuses on advanced signal processing, cognitive radio, and digital communications, with significant contributions to both civilian and defense sectors.

Profile:

Education:

Prof. Ali Mansour has an outstanding educational background in the field of signal processing. He obtained his Electric-Electronic Engineering Diploma in August 1992 from the Faculté de Génie, Université Libanaise, where he was the top graduate of his class. In July 1993, he completed a D.E.A. in Signal – Image – Speech, with a specialization in Signal, from the Institut National Polytechnique de Grenoble (INPG), France. Following this, in January 1997, he earned his Ph.D. in Signal – Image – Speech, with a focus on Blind Source Separation, from INPG. In November 2006, Prof. Mansour achieved the prestigious Habilitation à Diriger des Recherches (HDR), the highest academic qualification in the French system, from the Université de Bretagne Occidentale (UBO), France, with research focused on statistical approaches for blind source separation applied to robotics and electronic warfare.

Professional Experience:

Prof. Ali Mansour has an extensive professional background, blending academic expertise with contributions to the defense sector. He has held key positions, including being a staff member at ENSIETA, an engineering school under the French Ministry of Defense, where he worked on various classified research projects. His research during this period primarily focused on blind source separation, robotics, and electronic warfare. In addition to his defense work, Prof. Mansour has been actively involved in academia, supervising Ph.D. candidates and postdoctoral researchers. His collaborations span prestigious institutions such as Nagoya University in Japan and Granada University in Spain, contributing to global research projects in signal processing and communication intelligence. His leadership in research is further exemplified by his role in preparing his Habilitation à Diriger des Recherches (HDR), which requires overseeing successful Ph.D. projects and conducting original research across multiple disciplines.

Research Interests:

Prof. Ali Mansour’s research interests are centered around advanced topics in signal processing, with a primary focus on blind source separation. His work explores the development of statistical methods for separating mixed signals, which has applications in various fields including robotics, digital communications, and electronic warfare. Prof. Mansour is also deeply involved in communication intelligence (COMINT) and cognitive radio, studying how signal processing techniques can enhance the efficiency of wireless communications and information gathering. Additionally, his research extends to statistical analysis and digital communications, making significant contributions to both civilian and defense technologies. Through his innovative work, Prof. Mansour addresses complex challenges in the integration of signal processing with modern technologies.

Skills:

Prof. Ali Mansour possesses a diverse and robust skill set that complements his expertise in signal processing and engineering. He is proficient in programming languages such as Fortran, Pascal, C, and Assembler, enabling him to develop complex algorithms and models for signal processing applications. His expertise extends to advanced software tools, including Mathematica, Matlab, and Maple, which he utilizes for data analysis and simulations. Additionally, he is skilled in using Pspice for circuit simulations, enhancing his capability in electronic design. Prof. Mansour is also adept in document preparation and presentation tools such as MS Office, LaTeX, Prosper, and Beamer, facilitating effective communication of his research findings. His technical proficiency is further complemented by his fluency in English, French, and Arabic, allowing him to collaborate effectively in international research settings.

Concution:

Prof. Ali Mansour’s impressive educational background, international research collaborations, and extensive publication record position him as a leading researcher in his field. His contributions to signal processing and blind source separation, coupled with his involvement in cutting-edge research areas like robotics and electronic warfare, make him a highly suitable candidate for the Best Researcher Award. His excellence in both teaching and research further supports his candidacy, reflecting a balance of innovation, mentorship, and academic leadership.

Publication Top Noted:

  • Internet-of-Things (IoT)-based Smart Agriculture: Toward Making the Fields Talk
    • Authors: M Ayaz, M Ammad-Uddin, Z Sharif, A Mansour, EHM Aggoune
    • Year: 2019
    • Journal: IEEE Access 7, 129551-129583
    • Citations: 1160
  • Removing Artifacts from Electrocardiographic Signals Using Independent Components Analysis
    • Authors: AK Barros, A Mansour, N Ohnishi
    • Year: 1998
    • Journal: Neurocomputing 22 (1-3), 173-186
    • Citations: 273
  • New Challenges in Wireless and Free Space Optical Communications
    • Authors: A Mansour, R Mesleh, M Abaza
    • Year: 2017
    • Journal: Optics and Lasers in Engineering 89, 95-108
    • Citations: 245
  • Spectrum Sensing for Cognitive Radio: Recent Advances and Future Challenge
    • Authors: A Nasser, H Al Haj Hassan, J Abou Chaaya, A Mansour, KC Yao
    • Year: 2021
    • Journal: Sensors 21 (7), 2408
    • Citations: 161
  • Blind Separation of Sources: Methods, Assumptions, and Applications
    • Authors: A Mansour, AK Barros, N Ohnishi
    • Year: 2000
    • Journal: IEICE Transactions on Fundamentals of Electronics, Communications and …
    • Citations: 143
  • Adaptive Array Beamforming Using a Combined LMS-LMS Algorithm
    • Authors: AM J. A Srar, K.-S. Chung
    • Year: 2010
    • Journal: IEEE Transactions on Antennas and Propagation 58 (11)
    • Citations: 128
  • Double Random Phase Encryption Scheme to Multiplex and Simultaneously Encode Multiple Images
    • Authors: A Alfalou, A Mansour
    • Year: 2009
    • Journal: Applied Optics 48 (31), 5933-5947
    • Citations: 118
  • UAV-Assisted Dynamic Clustering of Wireless Sensor Networks for Crop Health Monitoring
    • Authors: M Ammad Uddin, A Mansour, D Le Jeune, M Ayaz, EHM Aggoune
    • Year: 2018
    • Journal: Sensors 18 (2), 555
    • Citations: 105
  • Performance Analysis of Space Shift Keying (SSK) Modulation with Multiple Cooperative Relays
    • Authors: HAAM R. Mesleh, S. Ikki
    • Year: 2012
    • Journal: EURASIP Journal on Advances in Signal Processing 10, 1-16
    • Citations: 99

Ousmane Thiare | Cybersecurity | Best Researcher Award

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Prof Dr. Ousmane Thiare | Cybersecurity | Best Researcher Award

Full Professor at Université Gaston Berger, Senegal

Summary:

Prof. Dr. Ousmane Thiare is a prominent scholar in Computer Science, currently serving as a Full Professor at Gaston Berger University in Saint-Louis, Senegal. He holds a Ph.D. in Computer Science from CY Cergy Paris University, along with multiple degrees in Applied Mathematics from Gaston Berger University. His extensive experience includes leadership roles in various European research initiatives aimed at enhancing agricultural studies and advancing cybersecurity in Senegal, such as his positions on the boards of the Senegal Internet Exchange Point and the National Cybersecurity School. Prof. Thiare’s research interests encompass a wide range of areas, including the Internet of Things (IoT), artificial intelligence, and circular economy. Notably, he has led significant projects, including the development of a national digital livestock tracking system in Mali and Senegal, contributing to sustainable development and innovation in the region. His dedication to education and research continues to empower future generations of scholars in Africa.

Profile:

Education:

Prof. Dr. Ousmane Thiare holds an impressive academic background, with a Ph.D. in Computer Science from CY Cergy Paris University in France, alongside multiple post-graduate and graduate degrees in Applied Mathematics from Gaston Berger University in Senegal. This extensive educational foundation has equipped him with strong analytical and technical skills, essential for advancing research in his field.

Professional Experience:

Prof. Dr. Ousmane Thiare boasts an impressive professional experience in academia and research. He currently serves as a Full Professor of Computer Science at Gaston Berger University in Saint-Louis, Senegal, where he has been instrumental in implementing research projects, supervising PhD theses, and teaching various modules. He has held several leadership roles, including the Scientific and Technical Director of major European research projects, such as the “URBANE” project focused on agroecological transformation and the Erasmus-funded initiative aimed at boosting agricultural studies in Sub-Saharan Africa. Additionally, he coordinates activities related to cybersecurity through the Cyberattack Detection, Warning, and Response Activities program. His involvement extends to the boards of several organizations, including the Senegal Internet Exchange Point and the National Cybersecurity School, where he contributes to the development of regional cybersecurity strategies. Through his leadership of the Mastercard Foundation Scholar Program, he has facilitated training for fellows in digital technologies, agriculture, health, and engineering, furthering the academic and professional landscape in Senegal and beyond.

Research Interests:

Prof. Dr. Ousmane Thiare’s research interests encompass a broad spectrum of cutting-edge topics in computer science and applied mathematics. He is particularly focused on the Internet of Things (IoT), where he explores innovative applications and technologies that enhance connectivity and data exchange. His expertise also extends to artificial intelligence, where he investigates algorithms and systems that can improve decision-making processes. Prof. Thiare is actively engaged in research on Wireless Sensor Networks (WSN) and Mobile Ad Hoc Networks (MANET), aiming to optimize communication and data management in dynamic environments. Additionally, his work in parallel and distributed systems addresses challenges related to efficiency and resource allocation. He has a keen interest in Peer-to-Peer (P2P) systems and routing and data replication techniques, which are critical for ensuring reliable data transfer. Furthermore, Prof. Thiare is involved in Grid and Cloud computing research, as well as the principles of the circular economy, reflecting his commitment to sustainable and impactful technological solutions.

Skills:

Prof. Dr. Ousmane Thiare possesses a diverse array of skills that underpin his expertise in computer science and applied mathematics. He is highly proficient in advanced computational techniques, with a strong command of programming languages and frameworks essential for developing and implementing innovative solutions in his research areas. His analytical skills enable him to approach complex problems methodically, utilizing data-driven insights to inform his work. Prof. Thiare is adept at project management, having successfully coordinated multiple research initiatives and collaborations, which highlights his ability to lead interdisciplinary teams. His experience in training and mentoring students and professionals demonstrates his commitment to knowledge transfer and capacity building in the academic community. Furthermore, his understanding of current trends in digital technology, cybersecurity, and sustainable practices equips him to contribute meaningfully to both local and global discussions on the future of technology and its societal implications.

Concution:

Prof. Dr. Ousmane Thiare’s extensive education, leadership roles, and active engagement in innovative research initiatives make him a highly suitable candidate for the Research for Best Researcher Award. His contributions not only advance academic knowledge but also foster significant social and technological advancements in Senegal and beyond, aligning perfectly with the award’s objectives.

Publication Top Noted:

  • Title: Enabling privacy and security in Cloud of Things: Architecture, applications, security & privacy challenges
    Authors: AA Abba Ari, OK Ngangmo, C Titouna, O Thiare, A Mohamadou, …
    Journal: Applied Computing and Informatics
    Volume: 20
    Issue: 1/2
    Pages: 119-141
    Cited By: 100
    Year: 2024
  • Title: Flood forecasting based on an artificial neural network scheme
    Authors: FY Dtissibe, AAA Ari, C Titouna, O Thiare, AM Gueroui
    Journal: Natural Hazards
    Volume: 104
    Pages: 1211-1237
    Cited By: 71
    Year: 2020
  • Title: Resource allocation scheme for 5G C-RAN: a Swarm Intelligence based approach
    Authors: AAA Ari, A Gueroui, C Titouna, O Thiare, Z Aliouat
    Journal: Computer Networks
    Volume: 165
    Article ID: 106957
    Cited By: 71
    Year: 2019
  • Title: HGC: HyperGraph based Clustering scheme for power aware wireless sensor networks
    Authors: JEZ Gbadouissa, AAA Ari, C Titouna, AM Gueroui, O Thiare
    Journal: Future Generation Computer Systems
    Volume: 105
    Pages: 175-183
    Cited By: 47
    Year: 2020
  • Title: Low-cost antenna technology for LPWAN IoT in rural applications
    Authors: C Pham, F Ferrero, M Diop, L Lizzi, O Dieng, O Thiaré
    Conference: 2017 7th IEEE International Workshop on Advances in Sensors and Interfaces
    Cited By: 35
    Year: 2017
  • Title: A study on IoT solutions for preventing cattle rustling in African context
    Authors: O Dieng, B Diop, O Thiare, C Pham
    Conference: ICC
    Volume: 17
    Pages: 1-13
    Cited By: 34
    Year: 2017
  • Title: Nature-based one health approaches to urban agriculture can deliver food and nutrition security
    Authors: B Ebenso, A Otu, A Giusti, P Cousin, V Adetimirin, H Razafindralambo, …
    Journal: Frontiers in Nutrition
    Volume: 9
    Article ID: 773746
    Cited By: 23
    Year: 2022
  • Title: Outdoor localization and distance estimation based on dynamic RSSI measurements in LoRa networks: Application to cattle rustling prevention
    Authors: O Dieng, P Congduc, O Thiare
    Conference: 2019 International Conference on Wireless and Mobile Computing, Networking
    Cited By: 21
    Year: 2019

Indrastanti Ratna Widiasari | Networking | Best Researcher Award

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Dr. Indrastanti Ratna Widiasari | Networking | Best Researcher Award

Lecturer at Satya Wacana Christian University, Indonesia

Summary:

Dr. Indrastanti Ratna Widiasari is an accomplished academic and researcher specializing in Electrical Engineering and Information Technology. She earned her bachelor’s degree from Satya Wacana Christian University and later pursued both her master’s and doctoral degrees at Universitas Gadjah Mada, completing her Ph.D. in 2018. Dr. Widiasari’s research focuses on digital business, networking, and cybersecurity, particularly in strategies for DDoS detection in imbalanced network environments. With multiple patents under process and contributions to renowned journals, she is also an active member of professional organizations such as APTIKOM and CISCO NetAcad, making significant strides in academia and industry.

Profile:

Education:

Dr. Indrastanti Ratna Widiasari holds a robust educational background in Electrical Engineering. She completed her bachelor’s degree from the Faculty of Electrical Engineering at Satya Wacana Christian University. Pursuing higher education, she earned her master’s degree in Electrical Engineering and Information Technology from Universitas Gadjah Mada. In 2018, Dr. Widiasari successfully completed her Ph.D. in the same department at Universitas Gadjah Mada, further specializing in advanced electrical engineering and network technology. Her comprehensive academic training has laid a strong foundation for her research in digital business, networking, and cybersecurity.

Professional Experience:

Dr. Indrastanti Ratna Widiasari has extensive professional experience in the field of Electrical Engineering and Information Technology. She has been actively involved in both academia and research, contributing to significant advancements in digital business and networking. Her research focuses on cybersecurity, particularly in strategies for DDoS detection in imbalanced network environments. Dr. Widiasari has authored several research papers published in reputable journals and has been involved in developing innovative solutions, including patents related to streaming-based multicast servers and information system vulnerability testing. She is also a member of professional organizations such as APTIKOM and CISCO NetAcad, highlighting her influence and expertise in the field.

Research Interests:

Dr. Indrastanti Ratna Widiasari’s research interests primarily focus on digital business and networking, with a particular emphasis on cybersecurity. She is deeply involved in developing strategies for detecting Distributed Denial of Service (DDoS) attacks in imbalanced network environments. Her research also extends to theoretical and practical innovations in information system vulnerability assessments and the use of advanced computational tools. Dr. Widiasari is committed to finding practical solutions for network security challenges, contributing to the broader field of digital infrastructure and business through her ongoing work and publications in related domains.

Skills:

Dr. Indrastanti Ratna Widiasari possesses a diverse skill set in the fields of digital business, networking, and cybersecurity. Her expertise includes advanced network security techniques, particularly in detecting Distributed Denial of Service (DDoS) attacks in imbalanced environments. She is skilled in information system vulnerability assessments and has developed innovative models using tools like Raspberry Pi for streaming-based multicast servers. Dr. Widiasari’s technical proficiency extends to research using computational tools, with experience in patent development and academic publishing. She is also well-versed in collaborative research, consultancy, and holds professional memberships with organizations such as APTIKOM and CISCO NetAcad.

Conclution:

Dr. Indrastanti Ratna Widiasari’s extensive experience in electrical engineering, combined with her research in network security, patents, and contributions to academia, make her an outstanding candidate for the Best Researcher Award. Her ability to translate theoretical research into practical innovations aligns with the award’s criteria, positioning her as a leader in her field.

Publication Top Noted:

  • Title: Deep learning multilayer perceptron (MLP) for flood prediction model using wireless sensor network based hydrology time series data mining
    Authors: IR Widiasari, LE Nugroho
    Conference: 2017 International Conference on Innovative and Creative Information
    Cited By: 99
    Year: 2017
  • Title: Analisis sentimen pada rating aplikasi Shopee menggunakan metode Decision Tree berbasis SMOTE
    Authors: C Cahyaningtyas, Y Nataliani, IR Widiasari
    Journal: Aiti
    Volume: 18
    Issue: 2
    Pages: 173-184
    Cited By: 64
    Year: 2021
  • Title: Context-based hydrology time series data for a flood prediction model using LSTM
    Authors: IR Widiasari, LE Nugroho, R Efendi
    Conference: 2018 5th International Conference on Information Technology, Computer, and Communications
    Cited By: 34
    Year: 2018
  • Title: Perancangan dan Penerapan Kendali Lampu Ruangan Berbasis IoT (Internet of Things) Android
    Authors: WW Anggoro, IR Widiasari
    Journal: JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
    Volume: 8
    Issue: 3
    Pages: 1596-1606
    Cited By: 31
    Year: 2021
  • Title: Design of a TAM Framework with Emotional Variables in the Acceptance of Health-based IoT in Indonesia
    Authors: D Jonas, E Maria, IR Widiasari, U Rahardja, T Wellem
    Journal: ADI Journal on Recent Innovation
    Volume: 5
    Issue: 2
    Pages: 146-154
    Cited By: 25
    Year: 2024
  • Title: Combining advanced encryption standard (AES) and one time pad (OTP) encryption for data security
    Authors: IR Widiasari
    Journal: International Journal of Computer Applications
    Volume: 57
    Issue: 20
    Cited By: 25
    Year: 2012
  • Title: Analisis Kualitas Signal Wireless Berdasarkan Received Signal Strength Indicator (RSSI) pada Universitas Kristen Satya Wacana
    Authors: TSJ Putra
    Journal: Program Studi Teknik Informatika Fti-Uksw
    Cited By: 19
    Year: 2018
  • Title: Alat Pendeteksi Kebakaran Dini Berbasis Internet Of Things (IoT) Menggunakan NodeMCU Dan Telegram
    Authors: YS Kristama, IR Widiasari
    Journal: Jurnal Media Informatika Budidarma
    Volume: 6
    Issue: 3
    Pages: 1599-1606
    Cited By: 16
    Year: 2022

Hao Chen | Biomedicine | Best Researcher Award

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Prof. Hao Chen | Biomedicine | Best Researcher Award

Associate Professor, Chief Physician, Supervisor at Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, China

Summary:

Prof. Hao Chen is an accomplished Associate Professor and Chief Physician of Neurosurgery at Shanghai Jiao Tong University School of Medicine, where he also serves as a graduate supervisor. He holds a Doctor of Medicine degree from the same institution and specializes in traumatic brain injury, stroke, and neurocritical care. His research interests include neuromodulation, brain-computer interfaces, and the integration of artificial intelligence in neurosurgery. Prof. Chen has received significant funding for his research, including grants from the National Natural Science Foundation of China. He has been recognized with several awards, including the “Wang Kuancheng” Medical Award and the AANS/CNS BrainLab Neurosurgery Award. Additionally, he is a visiting assistant professor at Vanderbilt University Medical Center and actively participates in professional organizations, contributing to advancements in neurosurgery and medical education. His work has been widely published in leading journals, underscoring his impact in the field.

Profile:

Education:

Prof. Hao Chen completed his Doctor of Medicine at Shanghai Jiao Tong University School of Medicine from September 2013 to July 2017. Prior to this, he earned his Master of Medicine from the same institution between September 2005 and July 2008. His academic journey began at Qingdao University School of Medicine, where he obtained his Bachelor of Clinical Medicine, graduating in July 2005. This comprehensive educational background has equipped him with a strong foundation in medical sciences, particularly in the field of neurosurgery.

Professional Experience:

Prof. Hao Chen has an extensive professional background in neurosurgery and medical education. Currently serving as an Associate Professor and Chief Physician of Neurosurgery at Shanghai Jiao Tong University School of Medicine, he also acts as a graduate supervisor and Vice Director of the Clinical Diagnosis and Treatment Center for Traumatic Brain Injury and Neurocritical Care. In addition to his primary role, Prof. Chen is a visiting assistant professor at Vanderbilt University Medical Center, where he collaborates on advanced research initiatives. He is actively involved in various professional committees, including the Peripheral Nerve Professional Committee of the Chinese Medical Doctor Association, and holds memberships in the American Congress of Neurological Surgeons and the International Brain Injury Association. His clinical expertise encompasses traumatic brain injury, intracerebral hemorrhage, glioblastoma, and neurosurgical intensive care, further demonstrating his commitment to improving patient outcomes and advancing the field of neurosurgery.

Research Interests:

Prof. Hao Chen’s research interests lie at the intersection of neurosurgery and advanced medical technologies. His primary focus includes traumatic brain injury (TBI), stroke, and neurocritical care, where he explores innovative approaches to improve patient management and recovery. He is particularly interested in neuromodulation techniques and the development of brain-computer interfaces that can enhance neurorehabilitation. Additionally, Prof. Chen is actively engaged in integrating artificial intelligence technologies into neurosurgery, aiming to optimize surgical outcomes and refine diagnostic processes. His work seeks to uncover the underlying mechanisms of neurological injuries and develop targeted therapeutic strategies, making significant contributions to the field of neurosurgical research and clinical practice.

Skills:

Prof. Hao Chen possesses a diverse array of skills that are integral to his role as a neurosurgeon and researcher. His clinical expertise encompasses advanced surgical techniques for managing traumatic brain injuries, intracerebral hemorrhages, and glioblastomas, ensuring optimal patient care in high-stakes environments. He is proficient in the application of neurocritical care protocols, emphasizing the importance of comprehensive patient management. In addition to his surgical acumen, Prof. Chen is skilled in utilizing neuromodulation therapies and brain-computer interfaces, showcasing his commitment to integrating innovative technologies into clinical practice. His research capabilities are bolstered by a strong foundation in grant writing, data analysis, and the implementation of clinical trials, enabling him to contribute effectively to the advancement of neurosurgical science and education. Furthermore, his collaborative spirit and leadership qualities foster interdisciplinary teamwork, essential for tackling complex medical challenges.

Conclution:

Prof. Hao Chen’s extensive educational background, current research focus on neurosurgery, substantial funding and awards, active participation in clinical trials, and impactful publications collectively position him as an outstanding candidate for the Research for Best Researcher Award. His dedication to advancing the field of neurosurgery through innovative research and clinical practices significantly contributes to improving patient outcomes and the broader scientific community.

Publication Top Noted:

  • Transplantation of Astrocyte-Derived Mitochondria into Injured Astrocytes Has a Protective Effect Following Stretch Injury
    Authors: Q.-Y. Gong, W. Wang, L. Cai, H. Chen, Z.-M. Xu
    Journal: Mitochondrion
    Volume: 78
    Article Number: 101902
    Year: 2024
  • Endorepellin Downregulation Promotes Angiogenesis After Experimental Traumatic Brain Injury
    Authors: Q. Zhang, Y. Jing, Q. Gong, J. Ding, Z. Xu
    Journal: Neural Regeneration Research
    Volume: 19(5)
    Pages: 1092–1097
    Year: 2024
  • MiR-181b Promotes Angiogenesis and Neurological Function Recovery After Ischemic Stroke
    Authors: L.-X. Xue, L.-Y. Shu, H.-M. Wang, Y.-W. Zhao, H. Chen
    Journal: Neural Regeneration Research
    Volume: 18(9)
    Pages: 1983–1989
    Year: 2023
    Cited by: 5
  • Inhibiting Phosphatase and Actin Regulator 1 Expression is Neuroprotective in the Context of Traumatic Brain Injury
    Authors: Y. Jing, L. Zhang, S.-W. Chen, Z.-M. Xu, J. Ding
    Journal: Neural Regeneration Research
    Volume: 18(7)
    Pages: 1578–1583
    Year: 2023
  • Glucose-Decorated Engineering Platelets for Active and Precise Tumor-Targeted Drug Delivery
    Authors: J. Zhao, Y. Shi, L. Xue, H. Chen, M. Kong
    Journal: Biomaterials Science
    Volume: 11(11)
    Pages: 3965–3975
    Year: 2023
    Cited by: 1
  • Knockout of Sirt2 Alleviates Traumatic Brain Injury in Mice
    Authors: W. Wang, Q.-Y. Gong, L. Cai, H. Chen, H.-L. Tian
    Journal: Neural Regeneration Research
    Volume: 18(2)
    Pages: 350–356
    Year: 2023
    Cited by: 7
  • ACT001 Attenuates Microglia-Mediated Neuroinflammation After Traumatic Brain Injury via Inhibiting AKT/NFκB/NLRP3 Pathway
    Authors: L. Cai, Q. Gong, L. Qi, H. Chen, H. Tian
    Journal: Cell Communication and Signaling
    Volume: 20(1), Article 56
    Year: 2022
    Cited by: 46
  • In Situ Injectable Nano-Complexed Hydrogel Based on Chitosan/Dextran for Combining Tumor Therapy via Hypoxia Alleviation and TAMs Polarity Regulation
    Authors: W. Zhang, Y. Shi, H. Li, H. Chen, M. Kong
    Journal: Carbohydrate Polymers
    Volume: 288
    Article Number: 119418
    Year: 2022
    Cited by: 22
  • Upregulation of C Terminus of Hsc70-Interacting Protein Attenuates Apoptosis and Procoagulant Activity and Facilitates Brain Repair After Traumatic Brain Injury (Retracted)
    Authors: H. Chen, Y. Jing, Z. Xu, H. Tian, L. Xue
    Journal: Frontiers in Neuroscience
    Volume: 14, Article 925
    Year: 2020
    Cited by: 4
  • A Brain-Penetrating Hsp90 Inhibitor NXD30001 Inhibits Glioblastoma as a Monotherapy or in Combination With Radiation
    Authors: H. Chen, Y. Gong, Y. Ma, Z. Cheng, L. Xue
    Journal: Frontiers in Pharmacology
    Volume: 11, Article 974
    Year: 2020
    Cited by: 15

Sushama Deshmukh | Computer Science | Best Researcher Award

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Mrs. Sushama Deshmukh | Computer Science | Best Researcher Award

Assistant Professor at JNEC MGMU Aurangabad, India

Summary:

Mrs. Sushama Deshmukh is an experienced academic and researcher with over 17 years in the field of computer engineering. She is currently pursuing her Ph.D. in Computer Engineering from Dr. Babasaheb Ambedkar Marathwada University (Dr. B.A.M.U.), Aurangabad. She holds a Master of Engineering in Computer Science and Engineering from Government Engineering College, Aurangabad, and a Bachelor of Engineering in Information Technology from Jawaharlal Nehru Engineering College, Aurangabad. Mrs. Deshmukh has served as an Assistant Professor at JNEC MGMU and Maharashtra Institute of Technology, Chhatrapati Sambhajinagar, where she has taught various courses including Artificial Intelligence, Machine Learning, Software Engineering, and Cybersecurity. Her research interests span across Artificial Neural Networks, Machine Learning, Security, and Software Engineering. In addition to her academic roles, Mrs. Deshmukh has been involved in developing software applications like the “Software Engineering Virtual Lab Simulator” and the “Vaccination Management System (VACC-IT).” She is also active in professional development, holding certifications in AI, deep learning, natural language processing, and database systems, reflecting her dedication to continuous learning and innovation in the field.

Profile:

Education:

Mrs. Sushama Deshmukh is currently pursuing her Ph.D. in Computer Engineering from Dr. Babasaheb Ambedkar Marathwada University (Dr. B.A.M.U.), Aurangabad, demonstrating her ongoing commitment to advancing her expertise in the field. She holds a Master of Engineering (M.E.) in Computer Science and Engineering from Government Engineering College, Aurangabad, under Dr. B.A.M.U., where she graduated in 2018 with First Division, securing 68.54%. Additionally, she earned a Bachelor of Engineering (B.E.) in Information Technology from Jawaharlal Nehru Engineering College, Aurangabad, in 2006, graduating with Distinction at 66.04%. Mrs. Deshmukh also holds a Diploma in Medical Electronics from Government W.R.P. Latur, completing the program in 2001 with First Division at 60%. Her diverse educational background spans multiple fields, showcasing her deep and versatile understanding of engineering, technology, and interdisciplinary subjects.

Professional Experience:

Mrs. Sushama Deshmukh has accumulated over 17 years of professional experience in academia, primarily in the field of computer engineering. She is currently serving as an Assistant Professor at JNEC MGMU, Chhatrapati Sambhajinagar, since February 2024. Prior to this, she spent 14.2 years at the Maharashtra Institute of Technology, Chhatrapati Sambhajinagar, where she held positions as both an Assistant Professor and Lecturer. During her tenure, she has taught a diverse range of undergraduate courses, including Software Engineering, Artificial Intelligence and Applications, Database Management Systems, and Cybersecurity, among others. In addition to her teaching responsibilities, Mrs. Deshmukh has taken on various leadership roles, such as Training & Placement Coordinator and MoU Coordinator for the Centre of Excellence in Cyber Security and Cyber Forensics. She has also contributed significantly to curriculum development and practical examinations as the Department Practical Exam Coordinator and Lab In Charge. Her involvement in developing software projects, such as the “Vaccination Management System” and “Online Job Assessment and Tracking System,” further underscores her commitment to integrating practical applications with academic instruction.

Research Interests:

Mrs. Sushama Deshmukh’s research interests are diverse and reflect her expertise in several key areas within computer engineering. She is particularly focused on security, where she explores the latest trends and challenges in protecting digital information. Additionally, her work in Artificial Neural Networks (ANN), artificial intelligence (AI), and machine learning encompasses the development of innovative algorithms and applications that enhance data processing and decision-making. Mrs. Deshmukh is also passionate about software engineering, with an emphasis on virtual labs and experiential learning environments that facilitate hands-on education for students. Her M.Tech project on frequent item set mining in large uncertain datasets demonstrates her commitment to advancing knowledge in data mining and analytics. Through her research, Mrs. Deshmukh aims to contribute to the advancement of technology while addressing real-world problems in cybersecurity and software development.

Skills:

Mrs. Sushama Deshmukh possesses a robust skill set that is well-aligned with her professional and academic pursuits. She is proficient in a variety of programming languages and technologies, including Microsoft SQL Server, WAMP, XAMP, and Turbo C, which enable her to develop and manage complex software applications. Her expertise in artificial intelligence (AI) and machine learning is complemented by certifications in deep learning, natural language processing, and SQL for data science, acquired through reputable platforms like Infosys and Coursera. Additionally, Mrs. Deshmukh has demonstrated her ability to create practical solutions, exemplified by her projects such as the Vaccination Management System and the Online Food Delivery System. Her organizational skills are evident through her roles in coordinating departmental activities and workshops, as well as her involvement in establishing partnerships for the Centre of Excellence in Cyber Security and Cyber Forensics. Overall, her diverse skill set equips her to contribute significantly to both academic and practical applications in her field.

Conclution:

Mrs. Sushama Deshmukh’s combination of academic qualifications, extensive experience, cutting-edge research areas, impactful projects, professional certifications, and social engagement make her a suitable candidate for the Research for Best Researcher Award. Her dedication to interdisciplinary research, practical applications of technology, and community involvement align well with the award’s criteria, emphasizing innovation and societal impact..

Publication Top Noted:

Medi-Block Record: Secure Data Sharing Using Blockchain Technology

  • Authors: C. Singh, D. Chauhan, S.A. Deshmukh, S.S. Vishnu, R. Walia
  • Journal: Informatics in Medicine Unlocked
  • Volume: 24
  • Article Number: 100624
  • ISSN: 2352-9148
  • Year: 2021
  • DOI: 10.1016/j.imu.2021.100624
  • Cited by: 37

Designing User Interfaces with a Data Science Approach

  • Authors: A.N. Banubakode, G.D. Bhutkar, Y. Kurniawan, C.S. Gosavi
  • Publisher: IGI Global
  • Chapter in Book: Designing User Interfaces with a Data Science Approach
  • Year: 2022
  • Cited by: 3

Medi-Block Record: Secure Data Sharing Using Blockchain Technology (Duplicate Entry)

  • Authors: C. Singh, D. Chauhan, S.A. Deshmukh, S.S. Vishnu, R. Walia
  • Journal: Informatics in Medicine Unlocked
  • Volume: 24
  • Article Number: 100624
  • ISSN: 2352-9148
  • Year: 2021
  • Cited by: 2

Significance of Software Engineering Phases in the Development of a Software Application: Case Study

  • Authors: S.A. Deshmukh, S.L. Kasar
  • Chapter in Book: Designing User Interfaces with a Data Science Approach, Pages 111-132
  • Publisher: IGI Global
  • Year: 2022
  • Cited by: 1

Student Performance Prediction Based on Multiple-Choice Question Test Using Neural Network in the VLab Platform

  • Authors: S.A. Deshmukh, R.S. Vaidya, V.D. Kamuni, S. Gaikwad
  • Journal: Theoretical Issues in Ergonomics Science
  • Volume: 25(3), Pages 330-342
  • Year: 2024

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Mohammad Hossein Morowvat | Green Production | Top Researcher Award

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Prof. Mohammad Hossein Morowvat | Green Production | Top Researcher Award

Associate professor at Shiraz University of Medical Sciences, Iran

Summary:

Prof. Mohammad Hossein Morowvat is an accomplished researcher and educator in pharmaceutical biotechnology. He earned his Pharm.D. from Shiraz University of Medical Sciences (SUMS) in 2008 and completed his Ph.D. in Pharmaceutical Biotechnology at Shahid Beheshti University of Medical Sciences (SBMU) in 2014. Currently, he serves as an Associate Professor at SUMS, where he conducts research on microalgal biotechnology, focusing on the green synthesis of nanoparticles and bioactive compounds with antioxidant and anti-cancer properties. With over 80 publications and several patents to his name, he has received prestigious awards, including the Razi Research Festival Award. In addition to his research, Prof. Morowvat teaches various subjects in pharmaceutical biotechnology and holds significant administrative roles, including Dean of the Biotechnology Incubator and Vice-Chancellor for Research and Technology at SUMS. Fluent in Persian and English, he is dedicated to advancing the field of biotechnology through research and education.

Profile:

Education:

Prof. Mohammad Hossein Morowvat earned his Pharm.D. at the School of Pharmacy, Shiraz University of Medical Sciences (SUMS), Shiraz, Iran, in 2008. He further advanced his education by obtaining a Ph.D. in Pharmaceutical Biotechnology from the School of Pharmacy, Shahid Beheshti University of Medical Sciences (SBMU), Tehran, Iran, in 2014. His academic journey has provided him with a strong foundation in pharmaceutical sciences and biotechnology, equipping him with the necessary knowledge and skills to excel in research and education in these fields.

Professional Experience:

Prof. Mohammad Hossein Morowvat has extensive professional experience in pharmaceutical biotechnology, serving as an educator and researcher at Shiraz University of Medical Sciences (SUMS). He began his academic career as an Assistant Professor in 2014 and was promoted to Associate Professor in 2022. His research focuses on microalgal biotechnology, where he is a principal investigator exploring areas such as green synthesis of nanoparticles and the extraction of bioactive compounds for cosmeceuticals and biocosmetics. Prof. Morowvat has also held several administrative roles, including Vice-Dean of the Biotechnology Incubator from 2014 to 2017 and Dean of the same institution since January 2022. In August 2023, he was appointed Vice-Chancellor for Research and Technology at the School of Pharmacy, SUMS. Additionally, he has been actively involved in teaching various subjects related to pharmaceutical biotechnology, guiding students in fields such as cell culture, genetic engineering, and nanobiotechnology.

Research Interests:

Prof. Mohammad Hossein Morowvat has a diverse range of research interests primarily centered on pharmaceutical biotechnology. His work focuses on microalgal biotechnology, where he investigates the green synthesis of nanoparticles and screens naturally isolated microalgal strains for their antioxidant, anti-cancer, and bioactive properties. Additionally, he is interested in the production of cosmeceuticals and biocosmetics derived from these microalgal extracts. Prof. Morowvat also engages in in-silico analysis and modeling of biosynthetic pathways across various microalgal species. His expertise extends to recombinant protein production, encompassing optimization, purification, and scale-up studies using bioreactors for monoclonal antibodies, recombinant enzymes, immunotoxins, vaccines, and hormones. Through his research, he aims to contribute to advancements in biotechnology and the development of innovative therapeutic and cosmetic products.

Skills:

Prof. Mohammad Hossein Morowvat possesses a robust skill set in the field of pharmaceutical biotechnology. His expertise includes pharmaceutical biotechnology and recombinant protein production, where he excels in optimization and scale-up studies. He is proficient in microalgal biotechnology, focusing on the extraction and application of bioactive compounds for various uses, including cosmeceuticals and biocosmetics. His skills also extend to patent drafting, demonstrating his capability to protect innovative research findings. With a strong foundation in biochemical methods and a deep understanding of engineering principles related to biotechnology, Prof. Morowvat effectively bridges the gap between scientific research and practical applications, contributing to advancements in both therapeutic and cosmetic fields.

Conclution:

Prof. Mohammad Hossein Morowvat’s extensive contributions to the field of pharmaceutical biotechnology, demonstrated through his innovative research, teaching, and leadership roles, make him an exemplary candidate for the Top Researcher Award. His dedication to advancing knowledge and fostering innovation in biotechnology solidifies his standing as a leading figure in his discipline.

Publication Top Noted:

  • Title: Single cell protein: production and process
    Authors: AT Nasseri, S Rasoul-Amini, MH Morowvat, Y Ghasemi
    Journal: American Journal of Food Technology
    Volume: 6
    Issue: 2
    Pages: 103-116
    Cited By: 605
    Year: 2011
  • Title: Antifungal and antibacterial activity of the microalgae collected from paddy fields of Iran: characterization of antimicrobial activity of Chroococcus dispersus
    Authors: Y Ghasemi, A Moradian, A Mohagheghzadeh, S Shokravi, MH Morowvat
    Journal: [Journal Name Not Provided]
    Cited By: 163
    Year: 2007
  • Title: Structural vaccinology considerations for in silico designing of a multi-epitope vaccine
    Authors:M Negahdaripour, N Nezafat, M Eslami, MB Ghoshoon, E Shoolian, ...
    Journal: Infection, Genetics and Evolution
    Volume: 58
    Pages: 96-109
    Cited By: 110
    Year: 2018
  • Title: PCR amplification of 18S rRNA, single cell protein production and fatty acid evaluation of some naturally isolated microalgae
    Authors: S Rasoul-Amini, Y Ghasemi, MH Morowvat, A Mohagheghzadeh
    Journal: Food Chemistry
    Volume: 116
    Issue: 1
    Pages: 129-136
    Cited By: 108
    Year: 2009
  • Title: Culture medium optimization for enhanced β-carotene and biomass production by Dunaliella salina in mixotrophic culture
    Authors: MH Morowvat, Y Ghasemi
    Journal: Biocatalysis and Agricultural Biotechnology
    Volume: 7
    Pages: 217-223
    Cited By: 100
    Year: 2016
  • Title: An optimized medium for screening of L-asparaginase production by Escherichia coli
    Authors: Y Ghasemi, A Ebrahiminezhad, S Rasoul-Amini, G Zarrini, MB Ghoshoon, …
    Journal: American Journal of Biochemistry and Biotechnology
    Volume: 4
    Issue: 4
    Pages: 422-424
    Cited By: 83
    Year: 2008
  • Title: A novel HPV prophylactic peptide vaccine, designed by immunoinformatics and structural vaccinology approaches
    Authors: M Negahdaripour, M Eslami, N Nezafat, N Hajighahramani, …
    Journal: Infection, Genetics and Evolution
    Volume: 54
    Pages: 402-416
    Cited By: 67
    Year: 2017