Assoc. Prof. Dr. Samuel Moveh | Robotics | Best Researcher Award

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Assoc. Prof. Dr. Samuel Moveh | Robotics | Best Researcher Award

Associate Professor, Transporta un sakaru instituts TSI, Latvia

Dr. Samuel Moveh is a passionate researcher and academician dedicated to advancing knowledge in mechanical engineering, artificial intelligence, and robotics. With a strong background in teaching and research, he has contributed significantly to academia through his innovative work in autonomous systems, intelligent control, and smart technologies. Dr. Moveh has held key academic positions across multiple universities, including his role as a Visiting Associate Professor at the Transport and Telecommunication Institute, Latvia, and a University Professor at Istanbul Gelisim University, Türkiye. His commitment to mentorship and scholarly excellence is evident in his numerous publications, research collaborations, and contributions to technological advancements.

Publication Profile

🎓 Education

Dr. Samuel Moveh holds a Ph.D. in Mechanical Engineering from Universiti Teknologi Malaysia (UTM) 🏛️, where he specialized in autonomous systems and intelligent control. He earned his Master’s degree in Mechanical Production Engineering from Ahmadu Bello University, Nigeria, and a Bachelor’s degree in Mechanical Engineering (Honors) from Modibbo Adama University, Nigeria. His academic journey is marked by excellence, with a strong focus on applied mechanics, fluid dynamics, and robotics.

💼 Experience

With over a decade of academic and research experience, Dr. Moveh has contributed to various institutions globally. As a Visiting Associate Professor at the Transport and Telecommunication Institute, Latvia, he taught advanced courses in aeronautical systems, artificial intelligence, and robotics. He also served as a University Professor and Erasmus Coordinator at Istanbul Gelisim University, where he played a pivotal role in international academic collaborations. His research experience spans across National University of Singapore, where he worked on smart facade technologies, and Infinity FM, Malaysia, contributing to smart city development. His earlier roles include lecturing positions at Modibbo Adama University, Nigeria, where he mentored numerous students in mechanical engineering and intelligent systems.

🏅 Awards and Honors

Dr. Moveh has been recognized for his outstanding contributions to engineering and academia. He has received multiple awards for his research excellence, particularly in autonomous vehicle control, intelligent systems, and sustainable smart technologies. His contributions to interdisciplinary research and technological innovations have earned him a reputation as a leading scholar in his field.

🔬 Research Focus

Dr. Moveh’s research interests lie in autonomous vehicle control, artificial intelligence, robotics, and smart city technologies. He has made significant contributions to developing intelligent lane-keeping systems, smart facade technologies, and machine learning applications in engineering. His work focuses on integrating AI-driven control systems into real-world applications, ensuring sustainability, efficiency, and innovation in mechanical and smart technologies.

📚 Publications

A review of some pure-pursuit based path tracking techniques for control of autonomous vehicles – International Journal of Computer Applications (2016) 📖 Cited by 229

Lane keeping maneuvers using proportional integral derivative (PID) and model predictive control (MPC) – Journal of Robotics and Control (2021) 🤖 Cited by 28

Development of edge-based lane detection algorithm using image processing – JOIV: International Journal on Informatics Visualization (2018) 🖥️ Cited by 23

Housing quality standard and Covid-19 pandemic: A call for attention in Nigeria – Journal of Science, Engineering, Technology and Management (2020) 🏠 Cited by 22

Non-intrusive room occupancy prediction performance analysis using different machine learning techniques – Energies (2022) 🔥 Cited by 20

IoT and big data technologies: opportunities and challenges for higher learning – International Journal of Recent Technology and Engineering (2020) 📡 Cited by 18

AI Driven Thermal People Counting for Smart Window Facade Using Portable Low‐Cost Miniature Thermal Imaging Sensors – Preprints (2020) 🌡️ Cited by 17

Evaluating the performance of fuzzy-PID control for lane recognition and lane-keeping in vehicle simulations – Electronics (2023) 🚗 Cited by 13

The influence of silicon carbide particulate loading on tensile, compressive and impact strengths of Al-Sicp composite for sustainable development – Chemical Engineering Transactions (2018) ⚙️ Cited by 10

🔚 Conclusion

Dr. Samuel Moveh is a distinguished researcher whose work bridges the gap between mechanical engineering, artificial intelligence, and robotics. His extensive contributions to smart technologies, autonomous systems, and intelligent control systems have made a lasting impact in academia and industry. With a strong commitment to innovation, mentorship, and research excellence, he continues to inspire the next generation of engineers and scientists worldwide. 🚀

Marco Mosca | Plant Engineering | Best Researcher Award

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Assoc. Prof. Dr. Marco Mosca | Plant Engineering | Best Researcher Award

Associate Professor, Genoa University, Italy

Dr. Marco Mosca is a distinguished researcher and academic in the field of mechanical, energy, and industrial engineering with a keen focus on Industry 4.0 applications, artificial intelligence, and sustainable manufacturing. Currently serving as a Researcher at the University of Genoa, Italy, he has contributed significantly to the advancement of digital transformation in industrial and healthcare systems. His work integrates smart technologies, automation, and innovative management strategies to enhance efficiency and sustainability in production and logistics.

Publication Profile

🎓 Education

Dr. Marco Mosca has pursued advanced studies in mechanical and industrial engineering, equipping him with profound expertise in the optimization of manufacturing processes, AI-driven production, and Industry 4.0 methodologies. His academic journey has shaped his contributions to the fields of engineering management and smart technologies, paving the way for groundbreaking research and practical implementations in industry.

💼 Experience

With over a decade of academic and research experience, Dr. Mosca has held multiple roles at the University of Genoa, contributing extensively to the Department of Mechanical, Energy, Industrial, and Transport Engineering. His tenure includes positions as a Researcher (2019-present), an external and autonomous personnel member (2017-2018), and an assigned researcher in earlier years. His research focuses on digital transformation in industrial processes, AI-based automation, and sustainable manufacturing solutions, impacting both academia and industry.

🏆 Awards and Honors

Dr. Mosca has been recognized for his pioneering work in Industry 4.0 applications, supply chain management, and AI-driven industrial processes. His research contributions have gained wide recognition in high-impact journals and international conferences, positioning him as an influential figure in smart manufacturing, automation, and digital transformation.

🔬 Research Focus

Dr. Mosca’s research spans multiple domains, with key contributions in Industry 4.0, artificial intelligence in manufacturing, sustainable supply chains, and digital transformation in healthcare and industrial processes. His work aims to integrate smart technologies, optimize production efficiency, and improve economic and environmental sustainability.

📚 Publications

A Bibliometric Analysis on Artificial Intelligence in the Production Process of Small and Medium Enterprises (2025) – AI Journal

Exploring Industry 4.0’s Role in Sustainable Supply Chains: Perspectives from a Bibliometric Review (2025) – Logistics Journal

Personal Protective Equipment Management and Maintenance. An Innovative Project Conducted in a Major Italian Manufacturing Company  (2023) – WSEAS TRANSACTIONS ON SYSTEMS

Full Sanitization of Buildings with Industry 4.0 Management and Economic Advantages (2023) – WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS

An Innovative 4.0 System to Prevent the Spreading of Diseases Which Threaten the Globalized World (2023) – Health and Technology

Advanced 4.0 Bed Management System (2023) – ResearchSquare

An Application of Engineering 4.0 to Hospitalized Patients (2023) – Lecture Notes in Networks and Systems

Ansaldo Energia Progetto LHP (OR6.3): Proper Management of PPE (Personal Protective Equipment)  (2023) – Lecture Notes in Networks and Systems

🔍 Conclusion

Dr. Marco Mosca is a leading researcher and academic innovator in Industry 4.0, AI-driven industrial processes, and sustainable supply chain management. His groundbreaking work has significantly impacted both academia and industry, fostering advancements in automation, digital transformation, and smart manufacturing systems. With numerous high-impact publications and research contributions, he continues to shape the future of mechanical and industrial engineering. 🚀

Mr. Jaswant Singh | Energy Technologies | Best Researcher Award

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Mr. Jaswant Singh | Energy Technologies | Best Researcher Award

Lecturer, Government Polytechnic Chhachha Bhogaon Mainpuri, India

Jaswant Singh is an accomplished academician and researcher in the field of Electrical Engineering. Currently serving as a Lecturer in the Electrical Engineering Department at Government Polytechnic Chhachha Bhogaon, Mainpuri (UP) since 2021, he has been actively contributing to the domain of power electronics, drives, and electrical machines. With over a decade of teaching and research experience, he has held significant positions in reputed institutions across India. His dedication to advancing knowledge is reflected in his extensive research contributions and leadership roles in academia.

Publication Profile

🎓 Education

Jaswant Singh is presently pursuing his Ph.D. in Electrical Engineering from Dr. A.P.J. Abdul Kalam Technical University, Lucknow, India. He holds an M.Tech. in Power Electronics & Drives from Kamla Nehru Institute of Technology (KNIT), Sultanpur, which he completed in 2011. His academic journey began with a B.Tech. degree in Electrical Engineering from Uttar Pradesh Technical University (UPTU) in 2009. His strong educational foundation has fueled his research and teaching endeavors.

💼 Experience

Jaswant Singh has a rich professional background, having served in multiple institutions in various capacities. He began his teaching career in 2011 as an Assistant Professor & Head at P.K. Institute of Technology & Management, Mathura. Later, he joined Shri Ram Group of Colleges (SRGC), Muzaffarnagar, as an Assistant Professor & Head in 2012. From 2015 to 2018, he worked as an Assistant Professor at Arya College of Engineering & IT, Jaipur. He also contributed as an Assistant Professor at Rajkiya Engineering College (REC), Ambedkar Nagar, from 2018 to 2020 before taking up his current role.

🏆 Awards and Honors

Jaswant Singh has earned recognition for his research contributions in power electronics and drives. His membership in IEEE highlights his commitment to professional development and staying updated with global advancements in electrical engineering. His scholarly achievements and research publications have been well-received in academic and industrial communities.

🔬 Research Focus

His primary research interests include power electronics & drives, power operation systems, and power quality issues. He has contributed significantly to the field through his work on control and simulation of electrical machines, MPPT techniques for solar energy, and microgrid management. His research aims to optimize power systems for enhanced efficiency and sustainability.

📚 Publications

Performance Evaluation of LMPO-Based MPPT Technique for Two-Stage GIPV System with LCL Under Various Meteorological Conditions – Processes (2025) [🔗 DOI: 10.3390/pr13030849]

Issues and Challenges of Latest Green Energy Technology – Applied Artificial Intelligence (2022) [🔗 EID: 2-s2.0-85146140459]

Comparative Analysis of MPPT Control Techniques – Frontiers in Energy Research (2022) [🔗 DOI: 10.3389/fenrg.2022.856702]

Recent Control Techniques and Management of AC Microgrids – International Transactions on Electrical Energy Systems (2021) [🔗 DOI: 10.1002/2050-7038.13035]

Performance Investigation of PMSM Drive Using Vector Controlled Technique – ICPES (2012) [🔗 DOI: 10.1109/icpces.2012.6508040]

Investigation of PMSM Drives Using DTC-SVPWM Technique – IEEE SCES (2012) [🔗 DOI: 10.1109/sces.2012.6199092]

Improvement of Power Factor and Harmonics Reduction in Induction Motors – SEISCON (2011) [🔗 DOI: 10.1049/cp.2011.0419]

Performance Evaluation of Direct Torque Control with PMSM – SAMRIDDHI Journal (2011) [🔗 DOI: 10.18090/samriddhi.v2i2.1602]

🔚 Conclusion

Jaswant Singh’s academic journey is marked by his unwavering commitment to teaching, research, and innovation in electrical engineering. His extensive contributions in power electronics, renewable energy, and control systems demonstrate his expertise in the field. As an active researcher and educator, he continues to inspire students and contribute to cutting-edge technological advancements. 🚀

Yuzhu Cai | Large language Model | Best Researcher Award

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Dr. Yuzhu Cai | Large language Model | Best Researcher Award

Ph.D, Beihang University, China

Yuzhu Cai is a dedicated researcher and innovator in software engineering and information security, currently pursuing a Ph.D. at Beihang University, China. With a strong foundation in cryptography, AI-driven educational platforms, and password security, he has actively contributed to cutting-edge research and technology development. His entrepreneurial mindset is reflected in his co-founding of Han Hai Xing Tu Technology Co., Ltd., where he focuses on AI-based educational planning. His work has earned numerous national awards, recognizing his excellence in algorithm design, mathematical modeling, and cybersecurity innovations.

Publication Profile

Google Scholar

🎓 Education

Yuzhu Cai is currently a Ph.D. student in Software Engineering at Beihang University (2024 – Present). He holds a Bachelor of Science degree in Information Security from Nankai University (2020 – 2024) and pursued a Minor in Mathematics (2021 – 2023) at the same institution. His academic journey reflects a deep commitment to cybersecurity, cryptography, and artificial intelligence.

💼 Experience

Yuzhu has actively contributed to research and development through multiple high-impact projects. He worked on implementing large language models (LLMs) for script generation and ASR correction, releasing fine-tuned models trained on Chinese corpora. His research on password distribution analyzed security models and their economic impact, providing insights for future cryptographic advancements. Additionally, he developed HoneyCloud, a secure multi-cloud password manager leveraging threshold secret-sharing algorithms, which won prestigious cryptography awards. His entrepreneurial endeavors include the co-founding of Han Hai Xing Tu Technology Co., Ltd., an AI-driven educational planning platform.

🏆 Awards and Honors

Yuzhu Cai has received multiple national-level awards, showcasing his expertise in cybersecurity, cryptography, and algorithm design. His accolades include First Prize in the National Information Works Competition (Most Innovative and Entrepreneurial Value Award), First Prize in the National Cryptography Technology Competition, and First Prize in the Mathematical Modeling Competition (Tianjin Area). He also secured a Bronze Medal in the National Algorithm Design Challenge and received scholarships recognizing his innovation and academic excellence at Nankai University.

🔬 Research Focus

Yuzhu’s research primarily revolves around cybersecurity, cryptography, and artificial intelligence applications in software engineering. His work includes securing password distribution models, enhancing the security of cloud-based password managers, and exploring AI-driven educational platforms. His projects demonstrate a strong focus on improving security frameworks, understanding password economics, and applying LLMs to vertical fields. His contributions have implications for both theoretical advancements and real-world applications in cybersecurity and AI.

📚 Publications

Ethical-lens: Curbing malicious usages of open-source text-to-image models

Self-evolving multi-agent collaboration networks for software development

🔚 Conclusion

Yuzhu Cai is a forward-thinking researcher and entrepreneur whose contributions to cybersecurity, AI, and cryptography have earned national recognition. His innovative projects and publications showcase a deep understanding of security frameworks, AI applications, and cryptographic advancements. Through his Ph.D. research and entrepreneurial ventures, he continues to drive technological progress in software security and AI-driven solutions. 🚀

Zhe PENG | Data Analytics | Best Researcher Award

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Prof. Zhe PENG | Analytics | Best Researcher Award

Assistant Professor, The Hong Kong Polytechnic University, Hong Kong

Dr. Zhe Peng  is a dedicated Research Assistant Professor at the Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University. With a strong background in computer science and engineering, he specializes in intelligent supply chains, AI for manufacturing, and blockchain technologies. His contributions to blockchain, federated learning, and decentralized identity systems have earned him global recognition. With extensive academic and industry experience, Dr. Peng has made a significant impact on cutting-edge technological advancements.

Publication Profile

🎓 Education

Dr. Peng holds a Ph.D. in Computer Science from The Hong Kong Polytechnic University (2018), under the supervision of Prof. Bin Xiao (IEEE Fellow). He earned his M.E. in Information and Communication Engineering from the University of Science and Technology of China (2013) and a B.E. in Communication Engineering from Northwestern Polytechnical University (2010). His academic journey reflects his deep expertise in computing, communication, and AI-driven systems.

💼 Experience

Dr. Peng has held multiple research and industry positions. He is currently a Research Assistant Professor at The Hong Kong Polytechnic University. Previously, he served as a Research Assistant Professor at Hong Kong Baptist University (2020-2023) and as an R&D Manager at the Blockchain and FinTech Lab. In the industry, he worked as the Blockchain Technical Director at SF Technology in Shenzhen (2018-2019). Additionally, he was a Visiting Scholar at Stony Brook University, USA, working under Distinguished Prof. Yuanyuan Yang (IEEE Fellow).

🏆 Awards and Honors

Dr. Peng has received several prestigious awards, including the World’s Top 2% Scientists by Stanford University (2024) and the Award for High SFQ Score at PolyU ISE (2024). He was recognized with an ESI Highly Cited Paper (2023) and received the DASFAA-MUST Best Paper Award (2021). His work was also nominated for THE Awards Asia – Technological or Digital Innovation of the Year (2021). His numerous accolades highlight his contributions to academia, research, and technological innovation.

🔬 Research Focus

Dr. Peng’s research revolves around intelligent supply chains, AI-driven manufacturing, blockchain applications, and autonomous systems. His work on verifiable decentralized identity management, privacy-aware federated learning, and blockchain security has set new benchmarks in these fields. He continues to explore innovative solutions to improve efficiency, transparency, and security in digital ecosystems.

🔚 Conclusion

Dr. Zhe Peng is a visionary researcher at the intersection of AI, blockchain, and smart logistics. His groundbreaking research, academic excellence, and industry experience make him a leading expert in his field. Through his contributions to intelligent systems, federated learning, and blockchain security, he continues to shape the future of technological innovation. 🚀

🔗 Publications 

Lightweight Multimodal Defect Detection at the Edge via Cross-Modal Distillation

VDID: Blockchain-Enabled Verifiable Decentralized Identity Management for Web 3.0 

SymmeProof: Compact Zero-Knowledge Argument for Blockchain Confidential Transactions 

The Impact of Life Cycle Assessment Database Selection on Embodied Carbon Estimation of Buildings 

EPAR: An Efficient and Privacy-Aware Augmented Reality Framework for Indoor Location-Based Services

VFChain: Enabling Verifiable and Auditable Federated Learning via Blockchain Systems 

VQL: Efficient and Verifiable Cloud Query Services for Blockchain Systems 

SEKAR C | Internet of Things | Best Researcher Award

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Dr. SEKAR C | Internet of Things | Best Researcher Award

Reserach Scholar, NIT Trichy, India

Dr. C. Sekar is a dedicated researcher, educator, and technologist specializing in IoT, cryptography, and secure data transactions. With a passion for innovation, he has contributed significantly to the development of IoT-enabled lightweight encryption algorithms for industry, healthcare, and forensic applications. Currently serving as an Assistant Professor at SRM IST, Trichy Campus, he is committed to mentoring and guiding students in cutting-edge technologies like Full Stack Development, AR/VR, and Advanced Computer Networks. His extensive hands-on experience in real-world IoT applications and cybersecurity makes him a valuable asset in the field of computer science.

Publication Profile

🎓 Education

Dr. C. Sekar earned his Ph.D. in Computer Science and Engineering from the National Institute of Technology, Tiruchirappalli, in July 2024, with a specialization in IoT and Embedded Systems, Cryptography, and Network Security. His research focused on “Investigations on IoT-Enabled Lightweight Image Encryption Algorithms for Industry, Healthcare, and Forensic Applications.” Prior to his doctorate, he completed his Master of Engineering in Computer Science and Engineering at the Indian Institute of Information Technology, Trichy, in 2016. His academic journey began with a Bachelor of Engineering from the Coimbatore Institute of Engineering and Technology, Coimbatore, in 2013, where he worked on network security-based projects.

💼 Experience

Dr. Sekar has amassed extensive experience in research, academia, and industry. Before joining SRM IST, he worked on multiple government-sponsored research projects. As a Senior Research Fellow at NIT Trichy, he contributed to projects like the CMPDI-sponsored “Electronification of GWC and Conveyor Systems in Mines” and the C-DAC-sponsored “Emergency Response Support System.” He also played a key role in the DST-funded project for women’s digital empowerment. In addition to research, he worked as a Database Administrator at Bharat Electronics Limited, Bangalore, managing large-scale database operations for the National Population Register and Aadhaar Card Project. His expertise extends to freelancing, where he has been developing IoT-based home automation systems.

🏆 Awards and Honors

Dr. Sekar’s contributions to IoT security and digital transformation have earned him recognition in the research community. His work has been published in high-impact journals and international conferences. His research on secure IoT-enabled medical record sharing and real-time image encryption for Industry 4.0 has been widely cited. He is also a Microsoft Certified Technology Specialist, reflecting his deep expertise in software development, cybersecurity, and advanced networking protocols.

🔬 Research Focus

Dr. Sekar’s research primarily revolves around IoT-enabled real-world applications, lightweight cryptography, and secure data transactions in distributed networks. His work integrates emerging technologies like AI/ML with IoT to create smart solutions for industries and healthcare. He has significant expertise in advanced computer networking protocols, including 5G, LoRa, and ZigBee. His research contributions have led to the development of patent-worthy prototype models for real-time security applications, particularly in data encryption and cybersecurity.

🔗 Publications

Smart camera with image encryption: a secure solution for real-time monitoring in Industry 4.0 

Secure IoT-enabled sharing of digital medical records: An integrated approach with reversible data hiding, symmetric cryptosystem, and IPFS 

Development of predictive model-based mobile application for maturity stage identification of Indian traditional red bananas

Secure App Login Authorization for IoT Devices Using OAuth 2.0

TKBG — The knowledge-based grep using self-key discovery and semantic linking for online resources 

🔚 Conclusion

Dr. C. Sekar is an accomplished academician and researcher with deep expertise in IoT security, cryptography, and network protocols. His innovative contributions to secure data transactions and IoT-enabled applications have made a significant impact in the field of computer science. With a strong background in academia, research, and industry, he continues to inspire students and researchers by bridging the gap between theoretical knowledge and real-world applications. His work in developing AI-integrated IoT solutions and encryption technologies is poised to shape the future of cybersecurity and smart systems. 🚀

Zeshan Khan | Artificial Intelligence| Best Researcher Award

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Assoc. Prof. Dr. Zeshan Khan |Artificial Intelligence| Best Researcher Award

Associate Professor, National Yunlin University of Science and Technology, Taiwan

Dr. Zeshan Aslam Khan is an esteemed Associate Professor at the International Graduate School of Artificial Intelligence, National Yunlin University of Engineering Sciences and Technology. With a strong background in Artificial Intelligence, Image Analysis, and Recommender Systems, he has made significant contributions to academia and industry. As the Director of the PRISM Lab, he actively supervises cutting-edge AI research, fostering innovation in Smart Metering, Fingerprint Recognition, and Alzheimer’s Detection. His work is recognized globally, with prestigious awards, high-impact publications, and collaborations with leading research institutions in the UK, Ireland, Taiwan, and Pakistan. 🌍📚

Publication Profile

Scopus

🎓 Education

Dr. Khan holds a Ph.D. in Electronic Engineering (2020) with a specialization in Learning Machines for Recommender Systems. His academic journey includes an M.Sc. in Computer Systems Engineering from Halmstad University, Sweden (2010), and a B.Sc. in Computer Information Systems Engineering from UET Peshawar, Pakistan (2005). His extensive educational background has laid a strong foundation for his expertise in AI-driven systems and computational intelligence. 🎓🔬

💼 Experience

With over a decade of experience, Dr. Khan has established himself as a leading researcher and educator in Artificial Intelligence. He has served as a Visiting Researcher at the University of Birmingham (UK) and the University of Galway (Ireland). His industry collaborations include partnerships with the National Radio Telecommunication Corporation (NRTC), Pakistan, and the Future Technology Research Center, Taiwan. As an Associate Editor of the Journal of Innovative Technologies (JIT) and a reviewer for top-tier journals like IEEE Transactions on AI, he plays a crucial role in shaping AI research globally. 🌟🔍

🏆 Awards and Honors

Dr. Khan’s excellence in research and academia has been recognized through numerous accolades. He was awarded the prestigious Ph.D. Gold Medal (2020) and the Faculty Research Brilliance Award (2022). In 2023, he received the Productive Researcher Award for his outstanding publications and graduate supervisions. His work has also secured significant research grants, including the Pakistan Engineering Council (PEC) Grant and the Higher Education Commission (HEC) Grant, enabling advancements in AI and IoT applications. 🏅🔬

🔬 Research Focus

Dr. Khan’s research revolves around Artificial Intelligence, Image Classification/Segmentation, Recommender Systems, Embedded Systems, and Fractional Calculus. His groundbreaking work in explainable AI, fractional optimization, and chaotic heuristics has been widely published in high-impact Q1 journals. His innovative contributions include developing AI-powered solutions for healthcare, smart metering, and signature verification, bridging the gap between academia and industry through real-world applications. 🤖📈

📝 Conclusion

Dr. Zeshan Aslam Khan stands as a prominent figure in the field of Artificial Intelligence, with a profound impact on research, education, and industry collaborations. His dedication to AI-driven solutions, student mentorship, and high-impact publications solidifies his reputation as a leader in predictive intelligence and systems modeling. With a global research footprint and numerous accolades, he continues to drive technological advancements that shape the future of AI. 🌍🚀

📚 Publications 

Generalized fractional optimization-based explainable lightweight CNN model for malaria disease classification – Computers in Biology and Medicine, 2025 (Q1, IF: 7.0) [Link] 📖🔬

Fractional Gradient Optimized Explainable CNN for Alzheimer’s Disease Diagnosis – Heliyon, 2024 (Q1, IF: 3.4) [Link] 🧠📊

Design of chaotic Young’s double slit experiment optimization heuristics for nonlinear muscle model identification – Chaos, Solitons & Fractals, 2024 (Q1, IF: 5.3) [Link] 🎯💡

A gazelle optimization expedition for key term separated fractional nonlinear systems applied to muscle modeling – Chaos, Solitons & Fractals, 2024 (Q1, IF: 5.3) [Link] 📉⚙️

Generalized fractional strategy for recommender systems with chaotic ratings behavior – Chaos, Solitons & Fractals, 2022 (Q1, IF: 5.3) [Link] ⭐🔍

Ryunosuke Kikuchi | Environment | Excellence in Research

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Prof. Dr. Ryunosuke Kikuchi | Environment | Excellence in Research

Lecturer, Faculty Sci.& Tech./Ryukoku University, Japan

Dr. Ryunosuke Kikuchi is a distinguished researcher in environmentally sustainable technology and society, specializing in waste management, recycling, and the environmental impact of green energy. As a faculty member at the Faculty of Advanced Science and Technology, Ryukoku University, Japan, he actively explores innovative solutions for sustainable waste disposal and resource utilization. His interdisciplinary approach integrates technology, science, and sociology to develop eco-friendly methods for managing waste, including animal disposal as municipal waste. With an extensive research background and numerous publications, Dr. Kikuchi has made significant contributions to environmental engineering. 🌱🔬

Publication Profile

Scopus

🎓 Education:

Dr. Ryunosuke Kikuchi holds a Ph.D. in an environmental science-related field, with a focus on sustainable waste management and recycling. His academic journey has been driven by a commitment to developing innovative strategies for reducing pollution and optimizing resource utilization. 🏛️📖

💼 Experience:

Currently serving as a faculty member in the Ecology and Environmental Engineering Course at Ryukoku University, Japan, Dr. Kikuchi has a wealth of experience in academic research and environmental sustainability projects. His work spans multiple international collaborations, focusing on waste management, the K-T boundary, and the secondary impacts of green energy. His research has been widely recognized and cited in scientific communities, contributing to policy-making and sustainable environmental solutions. 🌍♻️

🏆 Awards and Honors:

Dr. Kikuchi’s outstanding contributions to environmental sustainability have earned him significant recognition in academia. His research has gained substantial citations, with an h-index of 12 and over 834 citations from 48 publications. While no specific awards are listed, his impact in the field is evident through his extensive publications and global research collaborations. 🏅📜

🔬 Research Focus:

Dr. Kikuchi’s research primarily revolves around waste recycling, green energy impact, and secondary pollution. He investigates sustainable technologies to reduce environmental footprints and optimize waste disposal. A major area of his study includes animal disposal as municipal waste, aiming to convert waste into valuable resources. His work also addresses the effects of hydropower dams on global warming, heavy metal contamination in peri-urban farmlands, and sediment dynamics in urbanizing Mediterranean catchments. His interdisciplinary research has practical implications for environmental policies and sustainable development. 🌿⚙️

🔍 Conclusion:

Dr. Ryunosuke Kikuchi is a leading environmental scientist dedicated to developing sustainable waste management solutions and mitigating secondary pollution. His extensive research contributions, international collaborations, and impact in the field of environmental sustainability make him a key figure in the fight against global environmental challenges. Through his work at Ryukoku University, he continues to shape the future of ecological conservation and waste recycling. 🌏💡

📚 Publications:

Environmental Implications of the Global Prevalence of Hyperthyroidism in Cats from a “One Health” Perspective

Freshwater: Management Principles for Sustainability Under the Climate Emergency (Book Chapter) – Cited by 1 article

Potential Effect of Hydropower Dam on Global Warming – A Field Study of Biomethane Formation at Aono Dam (Conference Paper) – No citations yet

Determination of Soluble/Exchangeable Metals in Peri-urban Farmland (Ribeira dos Covões) of Central Portugal (Conference Paper) – No citations yet

Temporal Dynamics of Sediment Sources in an Urbanizing Mediterranean Catchment (Article, Land Degradation and Development, 2017) – Cited by 20 articles

 

Ilias Chouridis | Automation | Best Researcher Award

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Mr. Ilias Chouridis | Automation | Best Researcher Award

Mechanical Engineer, International Hellenic University, Greece

Ilias Chouridis is a passionate researcher in robotics and mechatronics, currently pursuing his Ph.D. at the International Hellenic University in Thessaloniki, Greece. 🎓 His academic journey began with a diploma in Mechanical Engineering from the Polytechnic School of Aristotle University of Thessaloniki. With a keen interest in bio-inspired optimization methods and evolutionary algorithms, he focuses on enhancing unmanned aerial vehicle (UAV) path planning. 🚀 His expertise in cutting-edge robotic systems has positioned him as an emerging figure in the field of intelligent navigation and optimization.

Publication Profile

🎓 Education

Ilias Chouridis obtained his diploma in Mechanical Engineering from the prestigious Polytechnic School of Aristotle University of Thessaloniki. Currently, he is advancing his academic career by pursuing a Ph.D. in Robotics and Mechatronics Systems Navigation at the International Hellenic University, where his research delves into innovative algorithms for UAV path planning. 📡

💼 Experience

As a researcher at the International Hellenic University, Thessaloniki, Ilias Chouridis has actively contributed to the development of advanced robotic navigation systems. 🤖 His work primarily focuses on optimization techniques for three-dimensional path planning, integrating artificial intelligence into robotic applications. Additionally, he has peer-reviewed research in Engineering Applications of Artificial Intelligence, further demonstrating his expertise in the field.

🏆 Awards and Honors

While specific awards have not been listed, his scholarly contributions in robotics and optimization have earned recognition through citations and peer review activities. His work has gained traction in the academic community, reinforcing his impact in robotic path optimization. 🎖️

🔬 Research Focus

Ilias Chouridis’ research centers on bio-inspired optimization techniques and evolutionary algorithms, particularly for UAV path planning. 🌍 His studies involve enhancing robotic system efficiency through hybrid artificial intelligence methodologies, ensuring optimal and precise navigation in complex environments. His innovative approach aims to reduce path length and improve the adaptability of autonomous systems in real-world applications.

🔍 Conclusion

Ilias Chouridis is an emerging scholar in robotics and artificial intelligence, with a strong focus on optimization and UAV navigation. His contributions to three-dimensional path planning are shaping the future of autonomous robotic systems. 🌟 His dedication to AI-driven navigation systems ensures that his work will continue to influence robotics research and technological advancements.

📚 Publications

Enhanced Hybrid Artificial Fish Swarm Algorithm for Three-Dimensional Path Planning Applied to Robotic Systems – Robotics, 2025
📄 DOI: 10.3390/robotics14030032

Cited by: 1 article

Three-Dimensional Path Planning Optimization for Length Reduction of Optimal Path Applied to Robotic Systems – Robotics, 2024
📄 DOI: 10.3390/robotics13120178

Ojonugwa Ejiga Peter | Computer Vision | Best Researcher Award

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Mr. Ojonugwa Ejiga Peter | Computer Vision | Best Researcher Award

Morgan State University, United States

Ojonugwa Oluwafemi Ejiga Peter is an emerging AI researcher specializing in computer vision and Generative AI. He is currently pursuing a Master’s degree in Advanced Computing at Morgan State University, Baltimore, where he also serves as a Research Assistant. His academic journey began at the Federal University of Technology, Minna, where he earned a Bachelor of Technology in Computer Science. Ejiga has contributed to cutting-edge research in AI-driven medical imaging and educational technology, supported by prestigious NSF grants. His work explores synthetic medical image generation, AI-based classification models, and ethical AI applications in healthcare and education.

Publication Profile

🎓 Education

Ejiga Peter has built a strong academic foundation in computer science and advanced computing. He earned a Diploma (OND) in Computer Science from Kogi State Polytechnic, Lokoja (2014), followed by a B.Tech in Computer Science from the Federal University of Technology, Minna (2019). Currently, he is pursuing an MSc in Advanced Computing at Morgan State University, Baltimore, where he focuses on AI and computer vision applications.

💼 Experience

Ejiga Peter has gained significant research and academic experience throughout his career. Since September 2023, he has been working as a Research Assistant in Advanced Computing at Morgan State University. Previously, he served as a Graduate Assistant in Civil Engineering at the same university. His work includes contributing to NSF-funded projects, such as deep learning-based medical image captioning and experiment-centered pedagogy for STEM education. His expertise in AI and machine learning has allowed him to explore innovative solutions in healthcare and education.

🏆 Awards and Honors

Ejiga’s research excellence has been recognized through prestigious NSF grants, enabling him to work on high-impact projects in AI-driven medical imaging and STEM education. Additionally, he is a member of the American Society for Engineering Education (ASEE), further showcasing his commitment to academic and professional growth in engineering and computing.

🔬 Research Focus

Ejiga Peter’s research lies at the intersection of computer vision, Generative AI, and AI applications in healthcare and education. His work includes developing synthetic medical images for AI training, exploring AI-driven medical image classification and segmentation, and addressing ethical concerns in AI deployment. His involvement in AI-powered educational innovations aims to improve student learning through hands-on, experiment-centered pedagogy.

🔚 Conclusion

Ojonugwa Oluwafemi Ejiga Peter is a dedicated AI researcher pushing the boundaries of computer vision and Generative AI in healthcare and education. His academic achievements, research contributions, and prestigious NSF-funded projects position him as a rising star in artificial intelligence. Through innovative AI solutions, he aims to revolutionize medical imaging and STEM education, making a lasting impact on both fields. 🚀

📚 Publications

Text-Guided Synthesis in Medical Multimedia Retrieval: A Framework for Enhanced Colonoscopy Image Classification and Segmentation  (Algorithms, 2025) 🔗 DOI: 10.3390/a18030155

Advancing AI-Powered Medical Image Synthesis: Insights from MedVQA-GI Challenge Using CLIP, Fine-Tuned Stable Diffusion, and Dream-Booth + LoRA (CEUR Workshop Proceedings, 2024) 🔗 Scopus EID: 2-s2.0-85201627982

Comparative Study of Digital Electronics Learning: Using PCB versus Traditional Methods in an Experiment-Centered Pedagogy (ECP) Approach for Engineering Students (ASEE Annual Conference Proceedings, 2024) 🔗 Scopus EID: 2-s2.0-85202046456