Jiaying Wu | Sharding Blockchain | Best Researcher Award

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Ms. Jiaying Wu | Sharding Blockchain | Best Researcher Award

Master’s Degree at Yunnan Normal University, China

Summary:

Ms. Jiaying Wu is a dedicated researcher currently pursuing a Master’s Degree in Computer Science at Yunnan Normal University, maintaining a GPA of 3.89/4.0. She holds a Bachelor’s Degree in Software Engineering from Hunan University of Humanities, Science and Technology, where she graduated with a GPA of 3.78/4.0. Her research focuses on blockchain scalability, sharding techniques, and cross-shard transaction security mechanisms. Ms. Wu has published several papers in renowned journals, contributed to key blockchain projects, and earned numerous academic and competition awards, showcasing her expertise and commitment to technological innovation.

Profile:

Education:

Ms. Jiaying Wu is currently pursuing a Master’s Degree in Computer Science at Yunnan Normal University, where she maintains an outstanding GPA of 3.89/4.0, having started her program in August 2022. Prior to this, she completed her Bachelor’s Degree in Software Engineering at Hunan University of Humanities, Science and Technology from September 2018 to June 2022, graduating with a GPA of 3.78/4.0. Her solid academic foundation is complemented by her focus on advanced topics such as blockchain scalability, sharding techniques, and cross-shard transaction security mechanisms.

Professional Experience:

Ms. Jiaying Wu has gained significant professional experience through her research work in blockchain and Internet of Things (IoT) security. Since 2022, she has focused on addressing performance bottlenecks in traditional blockchains within IoT scenarios by developing a high-performance dynamic sharding model. This model enhances blockchain scalability and cross-domain data access. From August 2022 to May 2024, she designed an attribute-based access control model aimed at improving flexibility in data decryption and public search functionalities. Additionally, she has contributed to major scientific projects in Yunnan Province and played a key role in establishing the Yunnan Provincial Key Laboratory of Blockchain and IoT Security.

Research Interests:

Ms. Jiaying Wu’s research interests lie in the areas of blockchain technology and its scalability, with a particular focus on sharding techniques and cross-shard transaction security mechanisms. She is also deeply interested in optimizing blockchain performance for Internet of Things (IoT) applications, working on solutions to improve scalability and efficiency in edge computing scenarios. Her work explores dynamic sharding models, secure cross-domain access, and blockchain-based access control systems, aiming to enhance both security and flexibility in decentralized networks. These research interests highlight her commitment to advancing blockchain technology in real-world applications.

Skills:

Ms. Jiaying Wu possesses a diverse set of professional skills that are highly relevant to her research in blockchain and computer science. She is proficient in programming languages such as C, Python, and Go, and has extensive experience with blockchain platforms like Hyperledger Fabric and Ethereum. Ms. Wu is skilled in writing blockchain smart contracts using Go and Solidity, allowing her to implement complex functionalities within decentralized systems. Additionally, she has a strong background in blockchain project development, particularly in system design and performance optimization. Her technical expertise extends to network technology, as evidenced by her Computer Level Certificate – Level 3 Network Technology.

Concution:

Considering Ms. Jiaying Wu’s academic performance, groundbreaking research contributions, and numerous awards, she is a highly deserving candidate for the Research for Best Researcher Award. Her work in blockchain scalability and IoT security, coupled with her technical expertise, places her at the forefront of innovation in her field.

Publication Top Noted:

A sharding blockchain protocol for enhanced scalability and performance optimization through account transaction reconfiguration

  • Authors: J. Wu, L. Yuan, T. Xie, H. Dai
  • Journal: Journal of King Saud University – Computer and Information Sciences
  • Year: 2024
  • Volume: 36(8)
  • Article: 102184
  • Status: In Press

Ciphertext Fuzzy Retrieval Mechanism with Bidirectional Verification and Privacy Protection

  • Authors: T. Xie, L. Yuan, Q. Zhang, J. Wu, F. Ren
  • Journal: IEEE Internet of Things Journal
  • Year: 2024
  • Status: In Press

Bogdan-Constantin Neagu | Power Systems | Best Researcher Award

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Assoc Prof Dr. Bogdan-Constantin Neagu | Power Systems | Best Researcher Award

Director of CEREM Department at Gheorghe Asachi Technical University of Iasi, Romania

Summary:

Assoc. Prof. Dr. Bogdan-Constantin Neagu is an accomplished academic and researcher in the field of electrical engineering. Currently an Associate Professor at “Gheorghe Asachi” Technical University of Iasi, Romania, he specializes in power transmission and distribution, energy systems planning, and smart grid technologies. Dr. Neagu holds a PhD in Electrical Engineering from the same university, where his research focused on optimizing electric energy distribution systems. With extensive teaching experience since 2009, he has guided numerous students through courses, dissertations, and research projects. His work includes contributions to academic research through grants, contracts, and publications, further establishing his expertise in energy systems.

Profile:

Education:

Assoc. Prof. Dr. Bogdan-Constantin Neagu has a strong academic foundation in electrical engineering. He earned his PhD in Electrical Engineering from “Gheorghe Asachi” Technical University of Iasi, Romania, with a thesis focused on optimizing the structure and steady-state of electric energy repartition and distribution systems. Dr. Neagu also holds a Master of Science in Power System Management from the same institution, where he explored power flow optimization in power distribution systems. His academic journey began with a Bachelor’s degree in Power Engineering from “Gheorghe Asachi” Technical University, where he gained in-depth knowledge of power distribution network analysis. His education has equipped him with advanced expertise in transmission, distribution, and optimization of electrical systems.

Professional Experience:

Assoc. Prof. Dr. Bogdan-Constantin Neagu has a distinguished professional background in electrical engineering, with over a decade of academic and research experience. He began his career as a University Tutor at the “Gheorghe Asachi” Technical University of Iasi, Romania, in 2009, where he contributed to teaching and research in power distribution and energy systems. He advanced to Assistant Professor in 2011 and later to Senior Lecturer in 2014, focusing on courses such as Transmission and Distribution of Electric Energy and Distribution Systems Planning Strategy. Since 2022, he has been serving as an Associate Professor, continuing to teach, supervise student research, coordinate theses, and contribute to academic committees. Dr. Neagu’s professional experience is marked by significant involvement in academic research, supported by grants, contracts, and publications, as well as his active participation in the academic and research community through student mentorship and innovative research in energy systems.

Research Interests:

Assoc. Prof. Dr. Bogdan-Constantin Neagu’s research interests are focused on optimizing electrical energy systems, with particular attention to the transmission and distribution of electric energy. His research has explored areas such as smart metering implementation, the optimization of power distribution networks, and the steady-state analysis of energy systems. He has contributed to developing innovative strategies for the integration of real-time data from SCADA systems and smart metering into the optimization of distribution network configurations. Additionally, Dr. Neagu is involved in research related to energy market policies, protection and automation systems, and the monitoring and diagnostics of electrical equipment. His work bridges theoretical advancements and practical applications, aiming to enhance the efficiency and reliability of power systems.

Skills:

Assoc. Prof. Dr. Bogdan-Constantin Neagu possesses a wide range of skills that contribute to his expertise in electrical engineering and academia. His technical skills include advanced proficiency in analyzing and designing electric energy transmission and distribution systems, as well as the steady-state optimization of power networks. He has extensive experience with specialized software like DIGSilent Power Factory, Neplan, and EDSA, and has developed his own software for power system analysis. In addition, he is skilled in programming languages such as C++ and Matlab. Dr. Neagu’s organizational and managerial abilities are reflected in his capacity for innovation, time management, multitasking, and budget management. He demonstrates strong leadership in team coordination and critical thinking. His communication skills are exemplary, enabling effective teaching, research collaboration, and student mentorship. Furthermore, Dr. Neagu is proficient in English and French, and he possesses high adaptability to new environments and technologies, critical for his work in research contracts and scientific article reviews for international ISI journals.

Concution:

Assoc. Prof. Dr. Bogdan-Constantin Neagu’s extensive teaching experience, strong educational background, significant research contributions, and exceptional communication and organizational skills make him a highly suitable candidate for the Best Researcher Award. His commitment to advancing electrical engineering through education and research positions him as an exemplary figure in the academic community.

Publication Top Noted:

Face spoofing, age, gender and facial expression recognition using advance neural network architecture-based biometric system

  • Authors: S. Kumar, S. Rani, A. Jain, C. Verma, M.S. Raboaca, Z. Illés, B.C. Neagu
  • Journal: Sensors
  • Year: 2022
  • Volume: 22(14)
  • Article: 5160
  • Citations: 83

Phase load balancing in low voltage distribution networks using metaheuristic algorithms

  • Authors: O. Ivanov, B.C. Neagu, M. Gavrilas, G. Grigoras, C.V. Sfintes
  • Conference: 2019 International Conference on Electromechanical and Energy Systems (SIELMEN)
  • Year: 2019
  • Pages: 1-6
  • Citations: 34

Optimal phase load balancing in low voltage distribution networks using a smart meter data-based algorithm

  • Authors: G. Grigoras, B.C. Neagu, M. Gavrilas, I. Tristiu, C. Bulac
  • Journal: Mathematics
  • Year: 2020
  • Volume: 8(4)
  • Article: 549
  • Citations: 32

A New Vision on the Prosumers Energy Surplus Trading Considering Smart Peer-to-Peer Contracts

  • Authors: B.C. Neagu, O. Ivanov, G. Grigoras, M. Gavrilas
  • Journal: Mathematics
  • Year: 2020
  • Volume: 8(2)
  • Article: 235
  • Citations: 32

Optimized sizing of energy management system for off-grid hybrid solar/wind/battery/biogasifier/diesel microgrid system

  • Authors: A.M. Jasim, B.H. Jasim, F.C. Baiceanu, B.C. Neagu
  • Journal: Mathematics
  • Year: 2023
  • Volume: 11(5)
  • Article: 1248
  • Citations: 31

Smart Meter Data-based three-stage algorithm to calculate power and energy losses in low voltage distribution networks

  • Authors: G. Grigoras, B.C. Neagu
  • Journal: Energies
  • Year: 2019
  • Volume: 12(15)
  • Article: 3008
  • Citations: 31

An efficient peer-to-peer based blockchain approach for prosumers energy trading in microgrids

  • Authors: B.C. Neagu, G. Grigoras, O. Ivanov
  • Conference: 2019 8th International Conference on Modern Power Systems (MPS)
  • Year: 2019
  • Pages: 1-4
  • Citations: 31

Efficient optimization algorithm-based demand-side management program for smart grid residential load

  • Authors: A.M. Jasim, B.H. Jasim, B.C. Neagu, B.N. Alhasnawi
  • Journal: Axioms
  • Year: 2022
  • Volume: 12(1)
  • Article: 33
  • Citations: 28

GeFL: Gradient Encryption-Aided Privacy Preserved Federated Learning for Autonomous Vehicles

  • Authors: R. Parekh, N. Patel, R. Gupta, N.K. Jadav, S. Tanwar, A. Alharbi, A. Tolba, B.C. Neagu
  • Journal: IEEE Access
  • Year: 2023
  • Volume: 11
  • Pages: 1825-1839
  • Citations: 26

Munirah Sarhan AlQahtani | Cybersecurity | Women Researcher Award

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Dr. Munirah Sarhan AlQahtani | Cybersecurity | Women Researcher Award

Associate professor at Imam Mohammed bin Saud university, Saudi Arabia

Summary:

Dr. Munirah Sarhan AlQahtani is an accomplished academic and researcher specializing in business management and human resource management. She earned her PhD in Business Management from Aston University, UK, and holds a Master of Science in Human Resource Management from the University of Stirling, UK. In addition to her academic qualifications, she is a Certified Management Consultant (CMC) and has a Postgraduate Certificate in Teaching and Learning in Higher Education. Currently an Assistant Professor at Imam Mohammed bin Saud University, Dr. AlQahtani is deeply engaged in research, teaching, and e-learning supervision. She is a member of various professional bodies, including the Academy of Management and the Higher Education Academy (UK), and is dedicated to advancing the fields of management science and organizational psychology through her research and teaching.

Profile:

Education:

Dr. Munirah Sarhan AlQahtani has a strong academic foundation in business and management. She began her higher education journey at the University of Stirling, UK, where she completed a Pre-Master in Business and Management (Postgraduate Diploma) in 2010, credited with 144 SCQF points. She then pursued a Master of Science in Human Resource Management from the same university in 2011, earning 180 SCQF points. Committed to furthering her academic expertise, Dr. AlQahtani completed her PhD in Business Management from Aston University, UK, in 2017. In addition to her degrees, she has obtained a Postgraduate Certificate (PGCert) in Teaching and Learning in Higher Education and a Certified Management Consultant Award (CMC) from the Institute of Management Consulting, further strengthening her professional qualifications.

Professional Experience:

Dr. Munirah Sarhan AlQahtani has a diverse and rich professional background that spans academia, administration, and community engagement. She began her career as a full-time Arabic language and literature teacher with the Ministry of Education in Riyadh, Saudi Arabia, from 2004 to 2008. She later transitioned into an administrative assistant role within the same ministry, where she has served since 2011. During her time in the UK, Dr. AlQahtani was a full-time doctoral researcher and teaching assistant at Aston University from 2013 to 2017. Currently, she is an Assistant Professor at Imam Mohammed bin Saud University, a role she has held since 2019. Additionally, she has been actively involved as an e-learning supervisor since 2020, contributing to the advancement of digital education platforms. Dr. AlQahtani’s wide-ranging experience highlights her dedication to education, research, and student development.

Research Interests:

Dr. Munirah Sarhan AlQahtani’s research interests lie at the intersection of management science, organizational psychology, and human resource management. She is particularly focused on exploring the latest advancements in management consultancy, leadership, and sustainability within business organizations. Dr. AlQahtani is also passionate about enhancing teaching and learning methodologies in higher education, with a special emphasis on improving student skills and developing innovative learning environments. Her research also extends to examining productivity, performance improvement, and strategic planning within organizations. Throughout her career, she has remained committed to contributing to the growing body of knowledge in management and organizational studies, with a focus on practical applications that benefit both academic and professional fields.

Skills:

Dr. Munirah Sarhan AlQahtani possesses a diverse set of skills that span both academic and professional domains. She has strong expertise in teaching and learning methodologies, particularly in higher education, where she excels in curriculum development, student mentoring, and academic supervision. Her skills in management consulting are backed by her Certified Management Consultant (CMC) certification, enabling her to provide strategic guidance on business operations, leadership, and organizational performance improvement. Dr. AlQahtani is also adept in research writing, with extensive experience in conducting and publishing academic research, particularly in management science and organizational psychology. Additionally, she has a solid command of e-learning platforms and digital education, contributing to her role as an e-learning supervisor. Her communication and presentation skills are evident from her active participation in conferences and workshops, where she shares her insights on management, education, and research strategies.

Concution:

Dr. Munirah Sarhan AlQahtani’s distinguished academic background, extensive professional experience, and dedication to research and education make her a strong candidate for the Women Researcher Award. Her commitment to advancing knowledge in business management, organizational psychology, and higher education is evident throughout her career.

Publication Top Noted:

  • The Role of Leaders’ Regulatory Focus Towards Creativity and Safety Ambidextrous Behavior: A Conceptual View
    • Author: Munirah Sarhan Alqahtani
    • Published: February 2023
    • Article Type: Full-text available
  • The Gender Gap in Senior Management: What Is Holding Saudi Women Back?
    • Author: Munirah Sarhan Alqahtani
    • Published: January 2023
    • Article Type: Full-text available
  • Winner Asia Case Comp 2022
    • Author: Munirah Sarhan Alqahtani
    • Published: December 2022
    • Article Type: Case study
  • Gender: The Moderator Role Between Materialism, Customer Value, and Customer Loyalty
    • Authors: Eman Abdulhmeed Hasnin, Munirah Sarhan Alqahtani, Somia Abdulkader Othman
    • Published: April 2022
    • Article Type: Full-text available
  • The Impact of Interactional Justice on Employees’ Job Performance and Assisting Behaviour
    • Author: Munirah Sarhan Alqahtani
    • Published: March 2022
    • Article Type: Full-text available
  • Effects of Working from Home on Job Performance: Empirical Evidence in the Saudi Context during the COVID-19 Pandemic
    • Authors: Jamel Choukir, Munirah Sarhan Alqahtani, Essam Khalil, Elsayed Mohamed
    • Published: March 2022

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
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