Mamoona Khalid | Electrical and Information | Best Researcher Award

Dr. Mamoona Khalid | Electrical and Information | Best Researcher Award

Lecturer at University of Engineering and Technology, Taxila, Pakistan

Dr. Mamoona Khalid is a dedicated lecturer and researcher in the Electrical Engineering Department at the University of Engineering and Technology (UET), Taxila, Pakistan, with over 15 years of teaching and research experience. She holds a Ph.D. in Electrical and Information Engineering from the University of South Australia, where her research focused on germanate waveguide lasers for infrared applications, resulting in multiple publications. An expert in photonics, optical waveguide fabrication, and laser material characterization, Dr. Khalid also serves as Director of the Photonics and Communications Lab at UET. She has been awarded prestigious scholarships, including the University President Scholarship, and has received significant research funding for lab development initiatives. Additionally, Dr. Khalid is an invited speaker and mentor, actively contributing to the academic and professional growth of her students and peers.

Education:

Dr. Mamoona Khalid completed her Ph.D. in Electrical and Information Engineering from the University of South Australia, Adelaide, focusing on germanate waveguide lasers for shortwave to mid-infrared applications. Her Ph.D. research, guided by Prof. David G. Lancaster, culminated in the “Thesis by Publications” pathway, with four journal articles and two conference papers published during her studies. She earned her Master’s degree (MSc) in Electrical Engineering from the University of Engineering and Technology (UET), Taxila, where she was awarded a “Distinction” for her thesis on the mathematical modeling and simulation of light propagation through photonic crystal fibers, publishing four papers in HEC-recognized journals. Dr. Khalid graduated with a Bachelor’s degree (BSc) in Electrical Engineering from UET, Taxila, receiving a Gold Medal for her outstanding performance and earning a “High Distinction” with an overall grade of 83.47%.

Professional Experience:

Dr. Mamoona Khalid is a seasoned educator and researcher with over 15 years of experience in electrical engineering. Since 2008, she has served as a Lecturer in the Electrical Engineering Department at the University of Engineering and Technology (UET), Taxila, Pakistan. Her responsibilities include teaching undergraduate and postgraduate courses aligned with the Washington Accord’s Outcome-Based Education (OBE) accreditation standards. Dr. Khalid also supervises research projects for BSc, MSc, and Ph.D. students and is an HEC and Pakistan Engineering Council-approved Ph.D. supervisor. In her administrative role, she has been the Director of the Photonics and Communications Lab since 2022, and she actively mentors students while advising the UET Taxila branches of IEEE and SIEP. She also served as an AI Trainer for OpenAI in 2024, enhancing AI systems through training on large language models. Previously, she was a researcher and tutor at the University of South Australia, where she gained expertise in optical waveguide fabrication, femtosecond laser-based micromachining, and photonics labs.

Research Interests:

Dr. Mamoona Khalid’s research interests focus on advanced areas within electrical engineering, including photonics, optical communication, and laser material fabrication. Her expertise spans the fabrication and characterization of optical waveguides, femtosecond laser micromachining, and the development of fiber lasers and microchip lasers for infrared applications. She is skilled in designing optical communication links and utilizes cutting-edge techniques such as Ytterbium and Holmium doping in laser systems, absorption and fluorescence spectroscopy, and Optical Time Domain Reflectometry (OTDR) for fault detection. Dr. Khalid is also proficient in software and simulation tools including OptiSystem for optical link design, COMSOL Multiphysics, and photonic crystal fiber design using OptiFDTD, making significant contributions to laser material sciences and photonics engineering.

Skills:

Dr. Mamoona Khalid possesses a diverse set of technical skills that complement her expertise in electrical engineering and photonics. She has hands-on proficiency with lab equipment and techniques, including Ytterbium and Holmium doping in laser systems, fiber cleaving and splicing, brightfield microscopy, and optical-grade polishing of transparent materials. Her skills extend to using the Optical Time Domain Reflectometer (OTDR) for detecting faults in optical communication links, as well as designing advanced optical systems. Dr. Khalid is also adept in several specialized software tools, including OptiSystem for optical link design, RP fiber power for laser simulations, COMSOL Multiphysics, SCAPS for solar cell design, and Zemax for ray tracing. In programming, she is skilled in C++, Python, and MATLAB, enabling her to contribute robustly to both practical and computational aspects of research and development in her field.

Conclusion:

Dr. Mamoona Khalid’s extensive teaching and research experience, academic accomplishments, technical expertise, and contributions to photonics and AI make her a suitable candidate for the Best Researcher Award. Her dedication to research, education, and professional development demonstrates a commitment to advancing the field of Electrical Engineering and supporting the next generation of engineers.

Publication Top Noted:

  • Spectroscopic analysis and laser simulations of Yb³⁺/Ho³⁺ co-doped lead-germanate glass
    Authors: M Khalid, DG Lancaster, H Ebendorff-Heidepriem
    Journal: Optical Materials Express, Vol. 10, Issue 11, Pages 2819-2833
    Year: 2020
    Cited by: 17
  • Femtosecond laser induced low propagation loss waveguides in a lead-germanate glass for efficient lasing in near to mid-IR
    Authors: M Khalid, GY Chen, H Ebendorff-Heidepreim, DG Lancaster
    Journal: Scientific Reports, Vol. 11, Article 10742
    Year: 2021
    Cited by: 13
  • Microchip and ultra-fast laser inscribed waveguide lasers in Yb³⁺ germanate glass
    Authors: M Khalid, GY Chen, J Bei, H Ebendorff-Heidepriem, DG Lancaster
    Journal: Optical Materials Express, Vol. 9, Issue 8, Pages 3557-3564
    Year: 2019
    Cited by: 12
  • Germanate glass for laser applications in ∼ 2.1 μm spectral region: A review
    Authors: M Khalid, M Usman, I Arshad
    Journal: Heliyon, Vol. 9, Issue 1
    Year: 2023
    Cited by: 6
  • Long-range distributed vibration sensing using phase-sensitive forward optical transmission
    Authors: GY Chen, K Liu, X Rao, Y Wang, M Khalid, J He, Y Wang
    Journal: Optics Letters, Vol. 48, Issue 18, Pages 4825-4828
    Year: 2023
    Cited by: 4
  • Design and simulation of photonic crystal fibers to evaluate dispersion and confinement loss for wavelength division multiplexing systems
    Authors: M Khalid, I Arshad, M Zafarullah
    Journal: The Nucleus, Vol. 51, Issue 2, Pages 249-258
    Year: 2014
    Cited by: 3
  • Long-range distributed vibration sensing using phase-sensitive forward optical transmission: publisher’s note
    Authors: GY Chen, K Liu, X Rao, Y Wang, M Khalid, J He, Y Wang
    Journal: Optics Letters, Vol. 48, Issue 22, Page 5967
    Year: 2023
    Cited by: 2
  • Recent advancements in femtosecond laser inscribed waveguides in germanate glass for ∼ 2.1 µm laser applications
    Authors: M Khalid, M Usman, MA Nasir, I Arshad
    Journal: Optik, Vol. 273, Article 170462
    Year: 2023
    Cited by: 2
  • Estimation of low loss and dispersion of hollow core photonic crystal fiber designs for WDM systems
    Authors: M Khalid, I Arshad
    Journal: Electrical Engineering, Vol. 1, Issue 2, Page 1
    Year: 2014
    Cited by: 2

Fulong Chen | Water Resources | Best Researcher Award

Mr. Fulong Chen | Water Resources | Best Researcher Award

Professor at Shihezi University, China.

Mr. Fulong Chen, Ph.D., is a Professor and Doctoral Supervisor with a distinguished career in water resource management and hydropower engineering. He currently serves as a member of the Water Resources Management and Conservation Committee of the International Water Resources Association in China and as Vice Chairman of the Shihezi Hydropower Society. Dr. Chen has led over 10 research projects, published more than 70 academic papers (30 indexed by SCI, EI, and CSSCI), and holds 6 patents. His contributions have been recognized through multiple awards, including 4 provincial and ministerial-level honors and a university-level Graduate Education and Teaching Achievement Award. With a Ph.D. in Engineering, Dr. Chen’s expertise and leadership continue to influence sustainable practices in water management.

Profile:

Education:

Mr. Fulong Chen holds a Ph.D. in Engineering, showcasing a strong foundation in advanced research methodologies and technical expertise. His academic journey laid the groundwork for his extensive contributions to water resource management and hydropower research. Through his doctoral studies, Mr. Chen developed a deep understanding of environmental engineering principles, which has been instrumental in his innovative research projects and his role as a Professor and Doctoral Supervisor. His educational background aligns with his professional achievements, emphasizing his dedication to scientific advancement in his field.

Professional Experience:

Mr. Fulong Chen has extensive professional experience in the field of water resource management and hydropower engineering. He has served as a Professor and Doctoral Supervisor, where he has been instrumental in mentoring the next generation of engineers and researchers. In his role, he has led over 10 research projects at various levels, demonstrating his capacity to oversee complex studies that address critical challenges in water management. Additionally, he has been actively involved in professional organizations, holding positions such as Vice Chairman of the Shihezi Hydropower Society and a member of the Water Resources Management and Conservation Committee of the International Water Resources Association in China. His commitment to research and education is further exemplified by his significant contributions to academic publishing, with more than 70 papers authored or co-authored, along with multiple patents, underscoring his role as a leader in innovative practices within the field.

Research Interests:

Mr. Fulong Chen’s research interests encompass a wide range of topics within water resource management and hydropower engineering. He is particularly focused on sustainable water conservation practices, innovative hydropower technologies, and the integration of environmental considerations into engineering solutions. His work often explores the complexities of water resource allocation and management, aiming to develop strategies that promote efficiency and sustainability in water use. Additionally, Dr. Chen has a keen interest in the application of advanced modeling techniques and data analysis in hydrological studies, enabling him to address pressing challenges in water resource management. His commitment to advancing research in these areas is reflected in his extensive publication record and involvement in various research projects that aim to enhance the resilience and sustainability of water systems.

Skills:

Mr. Fulong Chen possesses a diverse skill set that enhances his expertise in water resource management and hydropower engineering. His strong analytical skills enable him to conduct comprehensive research, utilizing advanced modeling techniques and data analysis to address complex hydrological issues. Dr. Chen is adept at leading multidisciplinary research teams, fostering collaboration among researchers, engineers, and industry stakeholders to drive innovative solutions. His technical skills are complemented by a robust understanding of environmental regulations and sustainable practices, allowing him to integrate ecological considerations into engineering designs. Additionally, his experience in academic publishing and patent development reflects his ability to translate research findings into practical applications, further showcasing his commitment to advancing the field of water resource management.

Conclusion:

With a strong foundation in leadership, extensive research output, and numerous accolades, Mr. Fulong Chen’s contributions make him a highly suitable candidate for the Best Researcher Award. His work not only advances knowledge in water resources and hydropower but also sets a standard in academic and pedagogical excellence.

Publication Top Noted:

Glacier Area Change and its Impact on Runoff in the Manas River Basin, Northwest China from 2000 to 2020

  • Authors: Wang, T., Chen, F., Long, A., Liu, B., Huang, Y.
  • Journal: Journal of Arid Land
  • Volume: 16 (7), Pages 877–894
  • Year: 2024
  • Citations: 0

Evaluating the Potential Benefits of Float Solar Photovoltaics through the Water Footprint Recovery Period

  • Authors: Du, S., Liang, C., Sun, H., Disse, M., Zhang, W.
  • Journal: Journal of Cleaner Production
  • Volume: 446, Article 141399
  • Year: 2024
  • Citations: 2

Predicting Runoff from the Weigan River under Climate Change

  • Authors: Su, J., Zhang, P., Deng, X., Chen, F., Long, A.
  • Journal: Applied Sciences (Switzerland)
  • Volume: 14 (2), Article 541
  • Year: 2024
  • Citations: 0

Different Types of Meteorological Drought and their Impact on Agriculture in Central China

  • Authors: Sun, H., Sun, X., Chen, J., Chen, F., Zhang, W.
  • Journal: Journal of Hydrology
  • Volume: 627, Article 130423
  • Year: 2023
  • Citations: 10

Response and Prediction of Runoff to Climate Change in the Headwaters of the Bortala River

  • Authors: Tian, H., Chen, F., Long, A., Liu, J., Hai, Y.
  • Journal: Arid Land Geography
  • Volume: 46 (9), Pages 1432–1442
  • Year: 2023
  • Citations: 4

Impact of the Construction of Water Conservation Projects on Runoff from the Weigan River

  • Authors: Su, J., Long, A., Chen, F., Gu, X., Deng, X.
  • Journal: Water (Switzerland)
  • Volume: 15 (13), Article 2431
  • Year: 2023
  • Citations: 3

Change and Driving Factor Analysis of Eco-Environment of Typical Lakes in Arid Areas

  • Authors: Guo, W., Jiao, A., Wang, W., Yan, J., Chen, F.
  • Journal: Water (Switzerland)
  • Volume: 15 (11), Article 2107
  • Year: 2023
  • Citations: 2

Huda Ahmed | Networks Security | Innovations in Mobile Security

Dr. Huda Ahmed | Networks Security | Innovations in Mobile Security

Lecturer at University of Basrah/ College of Computer Science and Information Technology, Iraq.

Dr. Huda Ahmed is an accomplished computer scientist specializing in artificial neural networks, with a focus on mobile and network security innovations. She earned her B.Sc. in Computer Science in 1997 and her M.Sc. in 2001 from Basrah University, Iraq, before completing her Ph.D. in 2024 at Kufa University, Iraq. Dr. Ahmed’s research spans image processing, multi-wavelet techniques, and the development of efficient routing protocols for mobile ad hoc networks (MANETs). Her work includes impactful contributions to the fields of image segmentation, video packet transmission, and blockchain-based trust management for secure routing. In addition to her research, Dr. Ahmed has extensive teaching experience in undergraduate computer science, delivering courses on computer networks, computer graphics, and image processing. She has been recognized for her innovative approaches to mobile security and her commitment to advancing network efficiency and data security.

Education:

Dr. Huda Ahmed has an extensive academic background in computer science, with a focus on neural networks and their applications. She obtained her Bachelor of Science (B.Sc.) degree in Computer Science from Basrah University, Iraq, in 1997. She continued her studies at the same institution, completing her Master of Science (M.Sc.) degree in 2001, further deepening her knowledge in the field. Dr. Ahmed is currently finalizing her doctoral studies, having earned her Ph.D. from Kufa University, Iraq, in 2024, specializing in artificial neural networks. Her rigorous academic journey has laid a strong foundation for her research and teaching roles in advanced computing and network security.

Professional Experience:

Dr. Huda Ahmed has extensive professional experience in academia and research, particularly in computer science and network security. With a teaching career spanning several years, she has delivered undergraduate courses in core computer science subjects, including Computer Networks, Computer Simulation, Graphics, and Image Processing. Dr. Ahmed’s research expertise is focused on developing innovative solutions in artificial neural networks and mobile security, where she has conducted influential studies on secure and efficient data transmission in mobile ad hoc networks (MANETs). She is also actively involved in applying blockchain frameworks to improve trust management in network protocols, contributing to enhanced mobile and network security. Dr. Ahmed’s dedication to both research and teaching has established her as a leader in her field, recognized for bridging academic theory with practical applications in mobile security.

Research Interests:

Dr. Huda Ahmed’s research interests lie at the intersection of artificial intelligence, network security, and mobile communication systems. Her primary focus is on the development and optimization of artificial neural networks, with particular applications in image processing, biometric recognition, and mobile ad hoc networks (MANETs). She is dedicated to enhancing mobile security frameworks, utilizing blockchain-enabled trust management systems for secure and energy-efficient data transmission. Additionally, Dr. Ahmed explores routing protocol performance within wireless multimedia sensor networks, aiming to improve data integrity and transmission efficiency across mobile networks. Her work also encompasses advanced image compression techniques and the application of multi-wavelet approaches, making significant strides in both computational efficiency and data security.

Skills:

Dr. Huda Ahmed possesses a diverse set of skills across multiple domains in computer science and network security. She is proficient in artificial neural network design and optimization, with a strong command of genetic algorithms for pattern recognition and classification tasks. Dr. Ahmed has expertise in mobile and wireless network protocols, specifically in mobile ad hoc networks (MANETs) and wireless multimedia sensor networks, where she excels in evaluating and enhancing routing protocols for efficient data transmission. Her skill set also includes blockchain frameworks for secure and energy-efficient routing, as well as advanced image processing techniques such as multi-wavelet compression and image segmentation. Additionally, Dr. Ahmed is well-versed in biometric systems, particularly in fingerprint documentation and matching, and has a solid foundation in computer graphics and simulation. Her programming capabilities support her extensive research in developing innovative solutions for mobile security and network resilience.

Conclusion:

Dr. Huda Ahmed’s expertise in neural networks, image processing, secure routing protocols, and blockchain-based trust management frameworks is aligned with the evolving needs in mobile security research. Her contributions in secure network architecture and data integrity frameworks position her as an ideal candidate for the Research for Innovations in Mobile Security Award.

Publication Top Noted:

An Optimized Link State Routing Protocol with a Blockchain Framework for Efficient Video-Packet Transmission and Security over Mobile Ad-Hoc Networks

  • Authors: HA Ahmed, HAA Al-Asadi
  • Journal: Journal of Sensor and Actuator Networks
  • Volume: 13 (2), Article 22
  • Cited by: 5
  • Year: 2024

Compression of Image Using Multi-Wavelet Techniques

  • Authors: HAA Saba Abdul-Wahed, Marwah Kamil Hussien
  • Journal: International Journal of Nonlinear Analysis and Applications
  • Volume: 13 (1), Pages 1519-1535
  • Cited by: 2
  • Year: 2022

An Overview of Routing Protocols Performance in Wireless Multimedia Sensor Networks

  • Authors: HA Ahmed, HAA Al-Asadi
  • Conference: 3rd Information Technology to Enhance e-Learning and Other Applications
  • Cited by: 1
  • Year: 2022

A Blockchain-Enabled Trust Management Framework for Energy-Efficient and Secure Routing in Mobile Ad-Hoc Networks

  • Authors: HA Ahmed, HA Abed Al-Asadi
  • Journal: TEM Journal
  • Volume: 13 (2)
  • Year: 2024

Performance Evaluation of MANETs Routing Protocols for Transmitting Video

  • Authors: HA Ahmed, HAA Al-Asadi
  • Journal: Journal of Basrah Research (Science)
  • Volume: 49 (2), Pages 124-139
  • Year: 2023

A Tri-Classes Method for Studying the Impact of Nodes and Sinks Number on Received Packets Ratio of MANETs Routing Protocols

  • Authors: HA Ahmed, HAA Al-Asadi
  • Conference: 15th International Conference on Developments in eSystems Engineering
  • Year: 2023

A Novel and Enhanced Routing Protocol for Large Scale Disruption Tolerant Mobile Ad Hoc Networks

  • Authors: Halia Al-Asadi, HA Ahmed, AH Al-Hassani, Nama Hambali
  • Year: 2022

A Novel and Enhanced Routing Protocol for Large Scale Disruption Mobile Ad Hoc Networks

  • Authors: Namah Hamid Ali Abed Al-Asadi, Huda A. Ahmed, Abdul-Hadi Al-Hassani
  • Journal: International Journal of Computing
  • Year: 2022

Sajad Ahmad | Biopolymers | Best Researcher Award

Mr. Sajad Ahmad | Biopolymers | Best Researcher Award

Scholar at National Institute of Technology Srinagar, India

Mr. Sajad Ahmad is a dedicated researcher in the field of chemistry, specializing in inorganic chemistry. He holds an M.Sc. degree from the University of Kashmir, where he graduated with First Division honors in 2019, as well as a B.Sc. in Science from the same university. His academic achievements include qualifying for the National Eligibility Test (NET-JRF) for lectureship and the JKSET. Mr. Ahmad has actively participated in various academic events, such as the Australian National Chemistry Quiz and the International Conference on Nanotechnology for Better Living. He is currently a Junior Research Fellow supported by the University Grants Commission, New Delhi, and has published multiple research papers in esteemed journals, contributing significantly to the fields of photocatalysis and environmental remediation. Fluent in English, Hindi, and Urdu, Mr. Ahmad is committed to advancing his research and making impactful contributions to chemistry.

Profile:

Education:

Mr. Sajad Ahmad has a robust academic background in chemistry, having completed his M.Sc. in Inorganic Chemistry from the University of Kashmir, Jammu & Kashmir, in 2019, where he achieved a First Division with a commendable score of 71.6%. Prior to this, he earned his B.Sc. in Science from the same institution in 2016, also securing a First Division with 61.94%. His educational journey began with his Intermediate studies at the Jammu and Kashmir Board of School Education (JKBOSE) in 2012, where he obtained a First Division with 66.2%. He completed his High School education in 2010, earning a Second Division with 57.4%. This strong foundation in science and chemistry underscores Mr. Ahmad’s dedication to academic excellence and his preparedness for a successful research career.

Professional Experience:

Mr. Sajad Ahmad has gained valuable professional experience in the field of chemistry, particularly through his current role as a Junior Research Fellow at the University Grants Commission in New Delhi since September 2022. His research focuses on innovative approaches to environmental remediation and photocatalysis, where he has contributed to various projects that address pressing ecological challenges. Mr. Ahmad’s participation in international conferences, such as the International Conference on Nanotechnology for Better Living, highlights his commitment to staying at the forefront of scientific advancements. Additionally, he has collaborated with esteemed researchers and institutions, further enhancing his expertise and professional network within the academic community. This combination of research involvement and collaboration underscores Mr. Ahmad’s dedication to contributing to the advancement of chemical sciences and environmental sustainability.

Research Interests:

Mr. Sajad Ahmad’s research interests lie primarily in the fields of inorganic chemistry and environmental remediation. He is particularly focused on developing innovative materials and methods for addressing environmental pollutants, such as pesticides and heavy metals, through advanced photocatalytic techniques. His work involves synthesizing chitosan-based composites and porous carbon materials to enhance the efficiency of contaminant removal from aquatic environments. Additionally, Mr. Ahmad is keen on exploring the antimicrobial properties of these materials, aiming to contribute to both environmental sustainability and public health. His participation in international conferences further reflects his commitment to advancing research in nanotechnology and its applications for better living. Through his research endeavors, Mr. Ahmad seeks to make a significant impact on the development of sustainable solutions to pressing environmental issues.

Skills:

Mr. Sajad Ahmad possesses a diverse set of skills that enhance his contributions to the field of inorganic chemistry and environmental research. He is proficient in various synthetic techniques for developing advanced materials, including chitosan-based composites and porous carbon adsorbents. His analytical skills are bolstered by experience with characterization methods, allowing him to assess the structural and functional properties of synthesized materials effectively. Mr. Ahmad is adept at employing photocatalytic processes for environmental remediation, particularly in the degradation of pollutants such as pesticides and heavy metals. Additionally, he has strong problem-solving abilities and is skilled in data analysis, enabling him to interpret research findings and draw meaningful conclusions. His participation in international conferences demonstrates his effective communication skills, which are essential for presenting complex research topics to diverse audiences. Overall, Mr. Ahmad’s skill set positions him as a promising researcher dedicated to advancing sustainable solutions in chemistry and environmental science.

Conclusion:

Given his impressive educational qualifications, significant achievements, active participation in research activities, prestigious fellowship, and impactful publications, Mr. Sajad Ahmad stands out as an exemplary candidate for the Best Researcher Award. His dedication to addressing pressing environmental issues through innovative research exemplifies his potential to contribute meaningfully to the field of chemistry and beyond.

 

Joseph Forson | Public Sector | Best Researcher Award

Dr. Joseph Forson | Public Sector | Best Researcher Award

Senior Lecturer atUNIVERSITY OF EDUCATION, WINNEBA, Ghana

Dr. Joseph Forson is a distinguished academic and consultant specializing in development finance and policy management. He currently serves as a lecturer at the University of Education, Winneba (UEW), Ghana, where he has been instrumental in shaping the curriculum and guiding students in various finance and policy courses since 2018. In addition to his teaching responsibilities, Dr. Forson holds several key positions, including Patron of the UEW Association of Business Students and Senior Finance & Policy Consultant at Dataking Consulting Firm in Accra. He has a rich background in higher education administration, having served as Vice-Dean and Graduate Coordinator at UEW, and has been actively involved in editorial roles for academic journals. Dr. Forson earned his Ph.D. in Development Administration from the National Institute of Development Administration (NIDA) in Bangkok, Thailand, and his research interests include the economics of corruption, public policy, and transportation planning. With numerous publications in peer-reviewed journals, he is dedicated to advancing knowledge in his field and fostering a sustainable development agenda.

Education:

Dr. Joseph Forson holds a Ph.D. in Development Administration (Policy and Management), which he obtained in 2016 from the National Institute of Development Administration (NIDA) in Bangkok, Thailand. He also earned a Master of Economics (Applied Finance) from Xiamen University in China in 2011. His academic journey began with a Bachelor of Science degree in Development Planning (Policy) from Kwame Nkrumah University of Science and Technology (KNUST) in Kumasi, Ghana, where he graduated in 2007. To enhance his teaching skills, he completed a Postgraduate Diploma in Teaching and Learning in Higher Education at the University of Education, Winneba, Ghana, in 2019. Additionally, he has a certificate in Project Planning and Structuring, acquired from the Project Management Bureau of the City of Amsterdam and Metro Planning Unit in Accra, Ghana, in 2005. This comprehensive educational background equips Dr. Forson with a robust foundation in development studies and economics, significantly contributing to his expertise in finance and policy management.

Professional Experience:

Dr. Joseph Forson has an extensive professional background in academia and consultancy, contributing significantly to the fields of finance and policy management. He currently serves as a lecturer at the University of Education, Winneba (UEW), Ghana, where he has been a pivotal figure since 2018, teaching various finance and policy courses at the postgraduate and undergraduate levels. Dr. Forson has also held key administrative roles, including Vice-Dean and Graduate Coordinator, enhancing the academic experience and governance within the School of Business at UEW. His consultancy work as a Senior Finance & Policy Consultant at Dataking Consulting Firm has allowed him to apply his expertise in real-world scenarios. In addition, he has been an active member of editorial teams for several academic journals, furthering research dissemination in his areas of interest. His prior experience includes roles such as Ag. Head of Department at UEW and a Research Fellow at the Graduate School of Public Administration (NIDA) in Thailand, showcasing his commitment to education and research excellence.

Research Interests:

Dr. Joseph Forson’s research interests encompass a diverse range of topics within the fields of development finance and public policy. He is particularly focused on the interplay between economic factors and governance, exploring the economics of corruption and its implications for development outcomes. His work delves into the intricacies of public policy and management, emphasizing strategies that enhance efficiency and accountability in governance. Additionally, Dr. Forson has a keen interest in transportation planning, investigating how effective transport policies can drive economic growth and sustainability. Through his research, he aims to contribute to the discourse on development strategies that promote equitable economic progress and enhance public sector performance.

Skills:

Dr. Joseph Forson possesses a robust set of skills that complement his extensive academic and professional background. As a Senior Finance and Policy Consultant, he has honed his analytical abilities, particularly in evaluating financial strategies and their impact on public policy. His experience in academia as a lecturer and course module editor has equipped him with strong communication skills, enabling him to convey complex concepts effectively to diverse audiences. Dr. Forson is adept in research methodologies, with expertise in quantitative and qualitative analysis, which allows him to conduct rigorous investigations into development finance and public policy issues. Additionally, his leadership roles, including Vice-Dean and Graduate Coordinator, showcase his ability to manage teams and drive collaborative efforts in educational settings. His editorial experience further underscores his commitment to advancing knowledge in his field through peer-reviewed publications.

Conclusion:

Dr. Joseph Forson exemplifies the qualities of an outstanding researcher through his extensive academic background, diverse research interests, and leadership roles in academia and consultancy. His commitment to advancing knowledge in finance and public policy, along with his impactful publications, make him a worthy candidate for the Research for Best Researcher Award.

Publication Top Noted:

  • Employee Motivation and Job Performance: A Study of Basic School Teachers in Ghana
    • Authors: JA Forson, E Ofosu-Dwamena, RA Opoku, SE Adjavon
    • Journal: Future Business Journal
    • Volume: 7 (30), Pages 1-22
    • Cited by: 146
    • Year: 2021
  • Selected Macroeconomic Variables and Stock Market Movements: Empirical Evidence from Thailand
    • Authors: JA Forson, J Janrattanagul
    • Journal: Contemporary Economics
    • Volume: 8 (2), Pages 154-174
    • Cited by: 105
    • Year: 2014
  • Genuine Wealth Per Capita as a Measure of Sustainability and the Negative Impact of Corruption on Sustainable Growth in Sub-Sahara Africa
    • Authors: JA Forson, P Buracom, G Chen, TY Baah-Ennumh
    • Journal: South African Journal of Economics
    • Volume: 85 (2), Pages 178–195
    • Cited by: 65
    • Year: 2017
  • Impact of Income Diversification Strategy on Credit Risk and Market Risk Among Microfinance Institutions
    • Authors: KCT Duho, DM Duho, JA Forson
    • Journal: Journal of Economic and Administrative Sciences
    • Volume: 39 (2), Pages 523-546
    • Cited by: 45
    • Year: 2023
  • Corruption, EU Aid Inflows and Economic Growth in Ghana: Cointegration and Causality Analysis
    • Authors: JA Forson, P Buracom, TY Baah-Ennumh, G Chen, E Carsamer
    • Journal: Contemporary Economics
    • Volume: 9 (3), Pages 299-318
    • Cited by: 43
    • Year: 2015
  • Causes of Corruption: Evidence from Sub-Saharan Africa
    • Authors: JA Forson, TY Baah-Ennumh, P Buracom, G Chen, Z Peng
    • Journal: South African Journal of Economic and Management Sciences
    • Volume: 19 (4), Pages 562-578
    • Cited by: 42
    • Year: 2016
  • Peer Effects in R&D Investment Policy: Evidence from China
    • Authors: Z Peng, Y Lian, JA Forson
    • Journal: International Journal of Finance and Economics
    • Volume: 26 (3), Pages 4516-4533
    • Cited by: 39
    • Year: 2021
  • The Impact of Artisanal Small-Scale Mining on Sustainable Livelihoods: A Case Study of Mining Communities in the Tarkwa-Nsuaem Municipality of Ghana
    • Authors: TY Baah-Ennumh, JA Forson
    • Journal: World Journal of Entrepreneurship, Management and Sustainable Development
    • Cited by: 35
    • Year: 2017
  • Innovation Financing and Public Policy Dilemmas in the Economic Community of West African States (ECOWAS)
    • Authors: JA Forson
    • Journal: African Journal of Science, Technology, Innovation and Development
    • Volume: 12 (1), Pages 1-11
    • Cited by: 34
    • Year: 2020

Boquan Li | Cyber Threat | Best Researcher Award

Dr. Boquan Li | Cyber Threat | Best Researcher Award

Assistant Professor at College of Computer Science and Technology, Harbin Engineering University, China

Dr. Boquan Li is a Tenure Track Associate Professor at the College of Computer Science and Technology, Harbin Engineering University, where he has served since January 2024. Prior to this, he was a Research Scientist at the School of Computing and Information Systems, Singapore Management University, from April 2022 to December 2023. Dr. Li holds a Ph.D. in Information Engineering from the University of Chinese Academy of Sciences and a Bachelor of Engineering from Harbin Engineering University. His research interests focus on artificial intelligence, cybersecurity, deepfake detection, and speaker recognition, with numerous publications in leading international conferences and journals. Dr. Li is also an active peer reviewer for prestigious journals like IEEE Transactions on Software Engineering.

Profile:

Education:

Dr. Boquan Li holds a Doctor of Philosophy (Ph.D.) from the University of Chinese Academy of Sciences, where he specialized in Information Engineering at the Institute of Information Engineering. He completed his Ph.D. in January 2022, building a strong foundation in artificial intelligence, cybersecurity, and data science. Prior to his doctoral studies, Dr. Li earned a Bachelor of Engineering degree from the School of Software at Harbin Engineering University in June 2016. His comprehensive academic background has equipped him with expertise in cutting-edge technologies, enabling him to contribute significantly to research in AI and cybersecurity.

Professional Experience:

Dr. Boquan Li has a diverse professional background in both academia and research. Since January 2024, he has been serving as a Tenure Track Associate Professor at the College of Computer Science and Technology, Harbin Engineering University, where he contributes to teaching and research in artificial intelligence and cybersecurity. Prior to this role, Dr. Li worked as a Research Scientist at the School of Computing and Information Systems, Singapore Management University, from April 2022 to December 2023. In this capacity, he was involved in cutting-edge research on deepfake detection, speaker recognition, and digital forensics. His professional experience highlights his expertise in developing innovative solutions to cybersecurity challenges and advancing research in AI-driven technologies.

Research Interests:

Dr. Boquan Li’s research interests focus on cutting-edge areas of artificial intelligence, cybersecurity, and multimedia forensics. He is particularly interested in deepfake detection, where he explores the vulnerabilities and robustness of detection systems across various domains. His work also covers speaker recognition, digital forensics, and adversarial attacks, aiming to develop defense mechanisms against cyber threats. Additionally, Dr. Li has a strong interest in cross-modal fusion techniques, particularly in audio-visual speech recognition, and domain adaptation methods for enhancing the accuracy of AI models across diverse datasets. His research contributes to advancing secure and reliable AI systems.

Skills:

Dr. Boquan Li possesses a diverse skill set that encompasses advanced computational techniques and a robust understanding of artificial intelligence and machine learning algorithms. He is proficient in developing and implementing deep learning models, particularly for applications in image and audio processing. His expertise extends to cybersecurity measures, with a focus on identifying vulnerabilities in AI systems and creating effective defense strategies against adversarial attacks. Additionally, Dr. Li is skilled in data analysis and statistical methods, enabling him to interpret complex datasets and derive meaningful insights. His strong programming skills in languages such as Python and proficiency with machine learning frameworks like TensorFlow and PyTorch further enhance his research capabilities in the field of computer science and technology.

Conclusion:

Dr. Boquan Li’s research addresses critical issues in AI security, deepfake detection, and adversarial defenses, areas of increasing importance in today’s technological landscape. His innovative work, combined with his academic and research experience, positions him as a strong candidate for the Best Researcher Award. His contributions have practical applications in cybersecurity and AI ethics, demonstrating both academic excellence and real-world impact.

Publication Top Noted:

  • How Generalizable are Deepfake Image Detectors? An Empirical Study
  • Two-stage Semi-supervised Speaker Recognition with Gated Label Learning
    • Authors: Xingmei Wang, Jiaxiang Meng, Kong Aik Lee, Boquan Li, Jinghan Liu
    • Year: 2024
    • Conference: International Joint Conference on Artificial Intelligence
    • Type: Conference paper
  • Assessing Backdoor Risk in Deepfake Detectors
    • Authors: Jiawen Wang, Boquan Li, Min Yu, Kam-Pui Chow, Jianguo Jiang, Fuqiang Du, Xiang Meng, Weiqing Huang
    • Year: 2024
    • Conference: IFIP WG 11.9 International Conference on Digital Forensics
    • Type: Conference paper
  • CATNet: Cross-Modal Fusion for Audio–Visual Speech Recognition
    • Authors: Xingmei Wang, Jiachen Mi, Boquan Li, Yixu Zhao, Jiaxiang Meng
    • Year: 2024
    • Journal: Pattern Recognition Letters
    • DOI: 10.1016/j.patrec.2024.01.002
  • A Residual Fingerprint-Based Defense Against Adversarial Deepfakes
  • FakeFilter: A Cross-Distribution Deepfake Detection System with Domain Adaptation
    • Authors: Jianguo Jiang, Boquan Li, Baole Wei, Gang Li, Chao Liu, Weiqing Huang, Meimei Li, Min Yu
    • Year: 2021
    • Journal: Journal of Computer Security
    • DOI: 10.3233/jcs-200124
  • Restoration as a Defense Against Adversarial Perturbations for Spam Image Detection
    • Authors: Jianguo Jiang, Boquan Li, Min Yu, Chao Liu, Weiqing Huang, Lejun Fan, Jianfeng Xia
    • Year: 2019
    • Conference: International Conference on Artificial Neural Networks
    • DOI: 10.1007/978-3-030-30508-6_56

Yikai Zhang | Digital Economy | Best Researcher Award

Mr. Yikai Zhang | Digital Economy | Best Researcher Award

Student at ShenzheNanyang Technological University, China

Mr. Yikai Zhang is a dedicated researcher and scholar currently pursuing a Master of Science in Knowledge Management at Nanyang Technological University, Singapore. He holds a Bachelor of Management in Human Resource Management from Nankai University, China, where he graduated with a strong academic record. Mr. Zhang’s research interests lie at the intersection of knowledge management and human resource strategies, with a particular focus on knowledge sharing, remote work dynamics, and corporate governance. He has contributed to several high-impact publications, including papers on the digital economy and team collaboration. In addition to his academic achievements, he has gained valuable professional experience through internships at JD.com and Anyang Iron & Steel Group, where he applied his skills in operations and human resource management. His expertise in these areas, combined with his research experience, positions him as a promising talent in his field.

Profile:

Education:

Mr. Yikai Zhang is currently pursuing a Master of Science in Knowledge Management at Nanyang Technological University, Singapore, from August 2023 to January 2025. His studies focus on essential areas such as Knowledge Management Technology, Foundations of Knowledge Management, Knowledge Management Strategies and Policies, and Organizational Leadership. Prior to this, he earned a Bachelor of Management in Human Resource Management from Nankai University, Tianjin, China, where he graduated in June 2023 with an impressive GPA of 87.37/100. His undergraduate coursework included key subjects like Human Resource Management, Organizational Behavior, Labor Economics, Strategic Management, and Probability and Statistics. This solid academic background has equipped him with a comprehensive understanding of both knowledge management and human resource management, positioning him well for further success in these fields.

Professional Experience:

Mr. Yikai Zhang has accumulated valuable professional experience through internships that have enhanced his practical skills in both operations and human resource management. In 2022, he worked as an Operations Department intern at Jingdong (JD.com), where he analyzed procurement processes for small and medium-sized enterprises and developed strategic operational solutions. He also conducted market research on competitive products and assisted in implementing brand promotion plans. Additionally, in 2021, he interned in the Labor and Human Resource Department at Anyang Iron & Steel Group Co., Ltd., where he was involved in skills training for workshop managers, analyzing training outcomes, and drafting training reports. His hands-on experience in both corporate environments has provided him with a well-rounded understanding of operational efficiency and workforce management, complementing his academic background in human resource and knowledge management.

Research Interests:

Mr. Yikai Zhang’s research interests are centered around the fields of knowledge management, human resource management, and organizational behavior. He is particularly focused on exploring knowledge sharing and knowledge hiding behaviors within remote work environments, examining how social presence and electronic monitoring influence these dynamics. Additionally, he is interested in team collaboration, especially in diverse teams, where he investigates the role of leadership and team reflection in overcoming knowledge sharing barriers. His research also extends to corporate governance, analyzing issues related to board governance, ESG, and stakeholder management. Mr. Zhang is passionate about understanding the impact of digital transformations on organizational strategies, labor control, and employee behavior, making his research highly relevant to modern workplace challenges.

Skills:

Mr. Yikai Zhang possesses a strong set of skills that complement his academic and research background. He is proficient in various IT tools, including MS Office, SPSS, and Mplus, which he uses for data analysis and research purposes. His language skills are demonstrated by an IELTS score of 7.0 and a GRE score of 333, highlighting his excellent command of English in both verbal and written communication. These technical and analytical skills, combined with his language proficiency, enable him to effectively conduct research, analyze data, and present his findings in both academic and professional settings.

Conclusion:

Mr. Yikai Zhang’s strong academic foundation, impactful research contributions, and practical experience make him a highly deserving candidate for the Research for Best Researcher Award. His work spans critical areas such as knowledge management, human resource strategies, and corporate governance, positioning him as a promising researcher with potential for significant future contributions to these fields.

 

Shoujun Zhou | Digital Signatures | Best Scholar Award

Prof. Shoujun Zhou | Digital Signatures | Best Scholar Award

Research professor at Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China

Prof. Shoujun Zhou is a distinguished researcher at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, and a double researcher at the National High Performance Medical Device Research Institute. He received his Ph.D. in Biomedical Engineering from Southern Medical University in 2004. With extensive experience in interventional surgical robotics and medical imaging, Prof. Zhou has led numerous significant research projects, including four National Natural Science Foundation projects and a major instrument project. He has been recognized for his contributions to science and technology, receiving awards such as the first prize for Science and Technology Progress from the Ministry of Education and the Silver Award at the Global Medical Robot Innovation Design Competition. A prolific author, he has published over 100 scientific papers and holds more than 60 patents. Prof. Zhou is also actively involved in various professional committees and organizations related to medical technology and innovation.

Profile:

Education:

Prof. Shoujun Zhou obtained his Ph.D. in Biomedical Engineering from Southern Medical University in July 2004. Prior to that, he earned his Master’s degree in Communication and Information Systems from Lanzhou University in July 2000. His academic journey began with a Bachelor’s degree in Test and Control, which he completed at the Air Force Engineering University in July 1993. This strong educational foundation has equipped him with a deep understanding of biomedical engineering, communication systems, and control technologies, paving the way for his distinguished research career.

Professional Experience:

Prof. Shoujun Zhou has had a distinguished career in biomedical engineering and medical device research. Since October 2010, he has served as a Distinguished Researcher at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, where he focuses on interventional surgical robotics and image-guided therapy. Prior to this role, he worked as a Senior Engineer in the Information Department of the 458th Hospital of the People’s Liberation Army from May 2008 to August 2010. He also completed a postdoctoral fellowship at the School of Information Engineering, Beijing Institute of Technology, from August 2004 to March 2007. Additionally, he held a postdoctoral position at Shenzhen Haibo Technology Co., Ltd., from May 2007 to August 2008 and served as an engineer in the PLA 94921 Unit from July 1993 to August 2001. Throughout his career, Prof. Zhou has contributed to numerous high-impact research projects, demonstrating his expertise in advanced medical technologies.

Research Interests:

Prof. Shoujun Zhou specializes in the fields of interventional surgical robotics and medical imaging. His primary research interests include the development of advanced image-guided therapy techniques, focusing on improving the precision and effectiveness of surgical interventions. He is particularly dedicated to the design and application of intelligent interventional robotic systems, integrating artificial intelligence to enhance decision-making and operational efficiency in surgical procedures. Additionally, Prof. Zhou explores medical image processing methodologies, aiming to innovate techniques that optimize the visualization and analysis of complex medical data. His work significantly contributes to the advancement of minimally invasive surgical approaches and the integration of robotics in healthcare.

Skills:

Prof. Shoujun Zhou possesses a robust skill set in biomedical engineering, specializing in interventional surgical robotics and medical imaging. He has expertise in designing and implementing advanced robotic systems for surgical applications, with a focus on image-guided therapy. Prof. Zhou is proficient in artificial intelligence algorithms and their integration into medical devices, enhancing surgical precision and patient outcomes. His technical skills include medical image processing, algorithm development, and system optimization, complemented by a strong background in project management and leadership. Additionally, he is experienced in conducting multidisciplinary research, collaborating with healthcare professionals and engineers to drive innovations in medical technology.

Conclusion:

Prof. Shoujun Zhou’s extensive research background, numerous awards, and significant contributions to the fields of surgical robotics and medical imaging make him an exceptional candidate for the Research for Best Scholar Award. His work not only advances technology in medicine but also improves patient outcomes through innovative solutions. His leadership in various high-impact projects and dedication to research excellence underscore his suitability for this prestigious recognition.

Publication Top Noted:

  • Verdiff-Net: A Conditional Diffusion Framework for Spinal Medical Image Segmentation
    • Journal: Bioengineering
    • Publication Date: 2024-10-15
    • DOI: 10.3390/bioengineering11101031
    • Contributors: Zhiqing Zhang, Tianyong Liu, Guojia Fan, Yao Pu, Bin Li, Xingyu Chen, Qianjin Feng, Shoujun Zhou
  • Automatic Delineation of the 3D Left Atrium From LGE-MRI: Actor-Critic Based Detection and Semi-Supervised Segmentation
    • Journal: IEEE Journal of Biomedical and Health Informatics
    • Publication Date: 2024-06
    • DOI: 10.1109/JBHI.2024.3373127
    • Contributors: Shun Xiang, Nana Li, Yuanquan Wang, Shoujun Zhou, Jin Wei, Shuo Li
  • SBCNet: Scale and Boundary Context Attention Dual-Branch Network for Liver Tumor Segmentation
    • Journal: IEEE Journal of Biomedical and Health Informatics
    • Publication Date: 2024-05
    • DOI: 10.1109/JBHI.2024.3370864
    • Contributors: Kai-Ni Wang, Sheng-Xiao Li, Zhenyu Bu, Fu-Xing Zhao, Guang-Quan Zhou, Shou-Jun Zhou, Yang Chen
  • SC-SSL: Self-Correcting Collaborative and Contrastive Co-Training Model for Semi-Supervised Medical Image Segmentation
    • Journal: IEEE Transactions on Medical Imaging
    • Publication Date: 2024-04
    • DOI: 10.1109/TMI.2023.3336534
    • Contributors: Juzheng Miao, Si-Ping Zhou, Guang-Quan Zhou, Kai-Ni Wang, Meng Yang, Shoujun Zhou, Yang Chen
  • A Fast Actuated Soft Gripper Based on Shape Memory Alloy Wires
    • Journal: Smart Materials and Structures
    • Publication Date: 2024-04-01
    • DOI: 10.1088/1361-665X/ad2f0c
    • Contributors: Xiaozheng Li, Yongxian Ma, Chuang Wu, Youzhan Wang, Shoujun Zhou, Xing Gao, Chongjing Cao
  • An Adaptive Control Method and Learning Strategy for Ultrasound-Guided Puncture Robot
    • Journal: Electronics
    • Publication Date: 2024-01-31
    • DOI: 10.3390/electronics13030580
    • Contributors: Tao Li, Quan Zeng, Jinbiao Li, Cheng Qian, Hanmei Yu, Jian Lu, Yi Zhang, Shoujun Zhou
  • A Precise Calibration Method for the Robot-Assisted Percutaneous Puncture System
    • Journal: Electronics
    • Publication Date: 2023-12-01
    • DOI: 10.3390/electronics12234857
    • Contributors: Jinbiao Li, Minghui Li, Quan Zeng, Cheng Qian, Tao Li, Shoujun Zhou
  • Online Hard Patch Mining Using Shape Models and Bandit Algorithm for Multi-Organ Segmentation
    • Journal: IEEE Journal of Biomedical and Health Informatics
    • Publication Date: 2022-06
    • DOI: 10.1109/JBHI.2021.3136597
    • Contributors: Jianan He, Guangquan Zhou, Shoujun Zhou, Yang Chen
  • To Align Multimodal Lumbar Spine Images via Bending Energy Constrained Normalized Mutual Information
    • Journal: BioMed Research International
    • Publication Date: 2020-07-11
    • DOI: 10.1155/2020/5615371
    • Contributors: Shibin Wu, Pin He, Shaode Yu, Shoujun Zhou, Jun Xia, Yaoqin Xie
  • Cerebrovascular Segmentation from TOF-MRA Using Model- and Data-Driven Method via Sparse Labels
    • Journal: Neurocomputing
    • Publication Date: 2020-03
    • DOI: 10.1016/j.neucom.2019.10.092
    • Contributors: Baochang Zhang, Shuting Liu, Shoujun Zhou, Jian Yang, Cheng Wang, Na Li, Zonghan Wu, Jun Xia

Ammar Alsheghri | Artificial Intelligence | Best Researcher Award

Assist Prof Dr. Ammar Alsheghri | Artificial Intelligence | Best Researcher Award

Assistant Professor at king fahd university of petroleum and minerals, Saudi Arabia

Assist. Prof. Dr. Ammar Alsheghri is a distinguished academic and researcher specializing in materials and mechanical engineering. He currently serves as an Assistant Professor in the Department of Mechanical Engineering at King Fahd University of Petroleum and Minerals (KFUPM) in Dhahran, Saudi Arabia. Dr. Alsheghri earned his Ph.D. in Materials Engineering from McGill University, Canada, in 2020, following his Master’s in Mechanical Engineering from Khalifa University in collaboration with MIT, and a Bachelor’s degree from Khalifa University, UAE. His research spans bioinspired materials design, geometric deep learning, and the optimization of materials for prosthetics and medical applications. He has extensive experience in academia and industry, contributing to innovative projects and holding patents in dental restoration technologies. Dr. Alsheghri’s work is highly recognized through numerous fellowships, scholarships, and awards for research excellence.

Education:

Assist. Prof. Dr. Ammar Alsheghri holds a Ph.D. in Materials Engineering from McGill University, Canada, which he completed in May 2020 with a perfect GPA of 4.0/4.0. During his Ph.D., he was awarded the prestigious Graduate Excellence Fellowship. He earned his Master of Science in Mechanical Engineering from the Masdar Institute of Science and Technology, Khalifa University, UAE, in collaboration with the Massachusetts Institute of Technology (MIT), USA, in May 2015, also achieving a GPA of 4.0/4.0. Dr. Alsheghri obtained his Bachelor of Science in Mechanical Engineering from Khalifa University, UAE, in June 2013, graduating with the highest honors and an impressive GPA of 3.98/4.0.

Professional Experience:

Assist. Prof. Dr. Ammar Alsheghri has an extensive professional background in both academia and industry. Currently, he is an Assistant Professor in the Department of Mechanical Engineering at King Fahd University of Petroleum and Minerals (KFUPM) in Dhahran, Saudi Arabia, a position he has held since August 2023. Prior to this, he served as a Postdoctoral Fellow at Polytechnique Montreal from 2020 to 2022, where he worked on geometric deep learning for dental applications, collaborating with industrial partners to develop customized dental crowns. Dr. Alsheghri also contributed as a Research Assistant at McGill University from 2015 to 2020, where his thesis focused on bioinspired design and optimization of materials for dentures and cellular structures. He has previous experience as a Research Assistant at Masdar Institute of Khalifa University, working on self-healing materials using finite element analysis. In addition to his academic roles, Dr. Alsheghri has substantial industrial experience. He was a Technology Developer at Dragonfly, part of the Comet Group, from 2022 to 2023, focusing on AI-driven scientific imaging and software development. He also worked as a Research & Development Consultant and Intern at Dragonfly, leading projects involving artificial intelligence for material image processing and mechanical properties analysis. His industry roles also include an internship at Diehl Aircabin GmbH in Germany, where he performed stress analysis for the Airbus A380 ceiling and assisted with composite material testing.

Research Interests:

Assist. Prof. Dr. Ammar Alsheghri’s research interests are deeply rooted in the intersection of materials engineering, mechanical engineering, and cutting-edge technologies such as artificial intelligence. His work focuses on bioinspired design and optimization of materials, particularly for dental applications, including the development of dentures and customized prosthetic structures. Dr. Alsheghri is also highly engaged in the field of geometric deep learning, specifically 3D deep learning for applications in dental segmentation and the generation of dental crowns from scanned dental arches. His expertise extends to self-healing materials, mechanics modeling, and finite element analysis (FEA), which he has applied to enhance the structural properties of materials. Additionally, he is interested in AI-driven image processing and computational mechanics, applying these techniques to scientific imaging and material analysis, with the aim of optimizing mechanical properties and structures for various engineering applications.

Skills:

Assist. Prof. Dr. Ammar Alsheghri possesses a diverse and advanced skill set that spans both academia and industry. He is highly proficient in materials engineering, with expertise in bioinspired design and optimization of materials, specifically for dental and prosthetic applications. Dr. Alsheghri excels in finite element analysis (FEA) and computational mechanics, which he has applied to projects involving self-healing materials and lightweight structures. He is also skilled in computer-aided design (CAD) and 3D modeling, having worked on the design and development of dental prostheses and optimized cellular structures. In addition, Dr. Alsheghri has strong capabilities in artificial intelligence, particularly in geometric deep learning and 3D deep learning, which he has applied to the segmentation of dental structures and the design of customized dental crowns. He is experienced in data analysis, image processing, and the use of AI for scientific imaging. His skills in laboratory testing and materials characterization complement his technical expertise, allowing him to contribute to multidisciplinary research and development efforts.

Conclusion:

With an outstanding academic record, a strong research portfolio, multiple patents, and a track record of successful collaborations in both academia and industry, Dr. Ammar Alsheghri stands out as a highly qualified candidate for the Best Researcher Award. His interdisciplinary expertise, particularly in materials engineering, AI, and bioinspired design, positions him as a leader in advancing research and technology in both mechanical and biomedical engineering fields.

Publication Top Noted:

  • Removable partial denture alloys processed by laser‐sintering technique
    • Authors: O Alageel, MN Abdallah, A Alsheghri, J Song, E Caron, F Tamimi
    • Journal: Journal of Biomedical Materials Research Part B: Applied Biomaterials
    • Volume/Issue: 106(3)
    • Pages: 1174-1185
    • Year: 2018
    • DOI: 10.1002/jbm.b.33910
  • Design and cost analysis of a solar photovoltaic powered reverse osmosis plant for Masdar Institute
    • Authors: A Alsheghri, SA Sharief, S Rabbani, NZ Aitzhan
    • Journal: Energy Procedia
    • Volume: 75
    • Pages: 319-324
    • Year: 2015
    • DOI: 10.1016/j.egypro.2015.07.439
  • Finite element implementation and application of a cohesive zone damage-healing model for self-healing materials
    • Authors: AA Alsheghri, RKA Al-Rub
    • Journal: Engineering Fracture Mechanics
    • Volume: 163
    • Pages: 1-22
    • Year: 2016
    • DOI: 10.1016/j.engfracmech.2016.05.020
  • High strength brushite bioceramics obtained by selective regulation of crystal growth with chiral biomolecules
    • Authors: H Moussa, W Jiang, A Alsheghri, A Mansour, A El Hadad, H Pan, R Tang, …
    • Journal: Acta Biomaterialia
    • Volume: 106
    • Pages: 351-359
    • Year: 2020
    • DOI: 10.1016/j.actbio.2020.01.004
  • Composition and characteristics of trabecular bone in osteoporosis and osteoarthritis
    • Authors: I Tamimi, ARG Cortes, JM Sánchez-Siles, JL Ackerman, …
    • Journal: Bone
    • Volume: 140
    • Pages: 115558
    • Year: 2020
    • DOI: 10.1016/j.bone.2020.115558
  • Thermodynamic-based cohesive zone healing model for self-healing materials
    • Authors: AA Alsheghri, RKA Al-Rub
    • Journal: Mechanics Research Communications
    • Volume: 70
    • Pages: 102-113
    • Year: 2015
    • DOI: 10.1016/j.mechrescom.2015.09.007
  • Determining the retention of removable partial dentures
    • Authors: O Alageel, AA Alsheghri, S Algezani, E Caron, F Tamimi
    • Journal: Journal of Prosthetic Dentistry

Kiran Ravulakollu | Machine Learning | Best Researcher Award

Prof Dr. Kiran Ravulakollu | Machine Learning | Best Researcher Award

Dean at Woxsen University, India.

Prof. Dr. Kiran Ravulakollu is currently the Dean and Professor at the School of Technology at Woxsen University, Kamkole, Telangana, where he has played a pivotal role in establishing the school since 2021. He also serves as the Director of Research and Development at the same institution. With a strong academic background, Dr. Ravulakollu holds a Ph.D. in Computer Science from the University of Sunderland, UK, and has extensive teaching and research experience in areas such as artificial intelligence, image processing, and hybrid intelligent systems. Throughout his career, he has held various academic positions, including Assistant Dean of Research at the University of Petroleum and Energy Studies and has been instrumental in developing research ecosystems that foster collaboration and innovation. His contributions to the field are evident in his impressive publication record, with over 879 publications and numerous patents. An active participant in research advisory committees and academic councils, Dr. Ravulakollu is dedicated to advancing technology and education through strategic leadership and innovative research initiatives.

Education:

Prof. Dr. Kiran Ravulakollu has a solid academic foundation, beginning with a Bachelor’s degree in Computer Science and Engineering from Jawaharlal Nehru Technological University, Hyderabad, India, awarded in 2004. He further advanced his expertise by earning a Postgraduate Certificate in Artificial Intelligence from City, University of London, United Kingdom, in 2006. Dr. Ravulakollu’s academic journey culminated in a Ph.D. in Computer Science from the University of Sunderland, United Kingdom, in 2012. His Ph.D. research focused on developing a computational architecture inspired by the Superior Colliculus of the mid-brain, utilizing neural networks for the efficient integration of audio and visual stimuli. Additionally, he completed a Post-Graduate Certificate in Academic Practices from the University of Petroleum and Energy Studies, Dehradun, India, in 2019, further enhancing his teaching and research credentials.

Professional Experience:

Prof. Dr. Kiran Ravulakollu has an extensive professional experience in academia and research, currently serving as the Dean and Professor at the School of Technology at Woxsen University, Kamkole, Telangana, since August 2021. In this role, he successfully established the school, significantly increasing student enrollment from 31 to 1,500, faculty and staff from 2 to 75, and generating revenue of ₹80 lakhs. He has also served as the Director of Research and Development at Woxsen University since August 2022, where he developed a robust R&D ecosystem, resulting in a remarkable rise in publications from 10 to 879, citations from 428 to over 7,400, and the acquisition of 36 patents. Prior to his current roles, Dr. Ravulakollu held various positions at the University of Petroleum and Energy Studies, Dehradun, including Assistant Dean of Research and Senior Associate Professor. His academic journey began as an Assistant Professor at Sharda University, where he contributed to curriculum development and student mentoring. His research background includes a tenure as a Research Associate at the HIS Research Group at the University of Sunderland, UK, where he focused on sensory data integration for artificial agents. Throughout his career, Dr. Ravulakollu has demonstrated exceptional leadership, strategic thinking, and a commitment to fostering research excellence in technology and engineering.

Research Interests:

Prof. Dr. Kiran Ravulakollu’s research interests lie at the intersection of artificial intelligence, computer science, and intelligent systems. His Ph.D. research focused on creating computational architectures inspired by the mid-brain’s Superior Colliculus, utilizing artificial neural networks to integrate audio and visual stimuli for enhanced localization capabilities. This foundational work has propelled his ongoing investigations into various advanced topics, including image processing methodologies, artificial agents, ambient intelligence, and hybrid intelligent systems. Additionally, Dr. Ravulakollu is keenly interested in the Internet of Things (IoT) and its applications, exploring how interconnected devices can contribute to smarter solutions in urban environments. His dedication to innovation is reflected in his ability to translate complex theoretical concepts into practical applications, fostering knowledge transfer that shapes products and enhances research outcomes. Overall, his diverse research portfolio showcases a commitment to pushing the boundaries of technology and developing cutting-edge solutions for real-world challenges.

Skills:

Prof. Dr. Kiran Ravulakollu possesses a robust skill set that encompasses analytical expertise, strong research methodologies, and innovative development capabilities. His analytical skills enable him to design and implement significant projects, effectively identifying problems and conducting feasibility studies to ensure research viability. With a solid foundation in project management, he excels at coordinating research and development activities, fostering collaboration among diverse teams. Dr. Ravulakollu is adept at data analysis, utilizing advanced techniques to derive meaningful insights and inform decision-making processes. His proficiency in knowledge transfer allows him to bridge the gap between theoretical research and practical application, shaping products that meet industry demands. Additionally, his experience in developing policies and frameworks for effective administration reflects his strategic thinking ability and commitment to continuous improvement within academic and research environments. Overall, Dr. Ravulakollu’s diverse skill set positions him as a leader in his field, driving impactful research initiatives and fostering innovation.

Conclusion:

Prof. Dr. Kiran Ravulakollu’s exceptional track record in academia, research, and administration make him a highly suitable candidate for the Best Researcher Award. His ability to blend innovative research with practical applications, along with his leadership in establishing a robust R&D environment, highlights his suitability for this prestigious recognition. His career demonstrates a consistent commitment to advancing knowledge and technology in the fields of artificial intelligence, machine learning, and hybrid intelligent systems, positioning him as a leader in contemporary research.

Publication Top Noted:

SIGN LANGUAGE RECOGNITION: STATE OF THE ART

  • Authors: AK Sahoo, GS Mishra, KK Ravulakollu
  • Year: 2013
  • Cited by: 105

Improving automated latent fingerprint detection and segmentation using deep convolutional neural network

  • Authors: M Chhabra, KK Ravulakollu, M Kumar, A Sharma, A Nayyar
  • Journal: Neural Computing and Applications
  • Year: 2023
  • Cited by: 33

Naïve Bayes Classifier with LU Factorization for Recognition of Handwritten Odia Numerals

  • Authors: KKR, Pradeepta K. Sarangi, P. Ahmed
  • Journal: Indian Journal of Science and Technology
  • Year: 2014
  • Cited by: 32

HANDWRITTEN DEVNAGARI DIGIT RECOGNITION: BENCHMARKING ON NEW DATASET

  • Authors: R Kumar, KK Ravulakollu
  • Journal: Journal of Theoretical & Applied Information Technology
  • Year: 2014
  • Cited by: 27

A Hybrid Intrusion Detection System: Integrating Hybrid Feature Selection Approach with Heterogeneous Ensemble of Intelligent Classifiers

  • Authors: KKR, Amrita
  • Journal: International Journal of Network Security
  • Year: 2018
  • Cited by: 25

Fuzzy-membership based writer identification from handwritten devnagari script

  • Authors: R Kumar, KK Ravulakollu, R Bhat
  • Journal: Journal of Information Processing Systems
  • Year: 2017
  • Cited by: 23

Indian sign language recognition using skin color detection

  • Authors: AK Sahoo, KK Ravulakollu
  • Journal: International Journal of Applied Engineering Research
  • Year: 2014
  • Cited by: 19

VISION BASED INDIAN SIGN LANGUAGE CHARACTER RECOGNITION

  • Authors: AK Sahoo, KK Ravulakollu
  • Journal: Journal of Theoretical & Applied Information Technology
  • Year: 2014
  • Cited by: 18

A review on artificial intelligence in orthopaedics

  • Authors: T Hamid, M Chhabra, K Ravulakollu, P Singh, S Dalal, R Dewan
  • Conference: 2022 9th International Conference on Computing for Sustainable Global Development
  • Year: 2022
  • Cited by: 17

WORD BASED STATISTICAL MACHINE TRANSLATION FROM ENGLISH TEXT TO INDIAN SIGN LANGUAGE

  • Authors: GS Mishra, AK Sahoo, KK Ravulakollu
  • Journal: ARPN Journal of Engineering & Applied Sciences
  • Year: 2017
  • Cited by: 17

State-of-the-Art: A Systematic Literature Review of Image Segmentation in Latent Fingerprint Forensics

  • Authors: KKR, Megha Chhabra, Manoj Kumar Shukla
  • Journal: Recent Patents on Computer Science
  • Year: 2019
  • Cited by: 16

Surface Corrosion Grade Classification using Convolution Neural Network

  • Authors: KKR, Sanjay Kumar Ahuja, Manoj Kumar Shukla
  • Journal: International Journal of Recent Technology and Engineering
  • Year: 2019
  • Cited by: 15