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

 

Mahfooz Alam | Cloud Computing | Best Researcher Award

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Assist. Prof. Dr. Mahfooz Alam | Cloud Computing | Best Researcher Award

Assistant professor, G. L. Bajaj College of Technology and Management, Greater Noida, India

Dr. Mahfooz Alam is an esteemed academician and researcher in the field of Computer Science, specializing in Cloud Computing, Internet of Things (IoT), Workflow Scheduling, and Machine Learning 🤖. He is currently serving as an Assistant Professor in the Department of MCA at G. L. Bajaj College of Technology and Management, Greater Noida, India 🇮🇳. With a strong academic background and years of teaching experience, Dr. Alam is dedicated to advancing knowledge in secured workflow allocation and innovative computing methodologies. His research contributions are well-recognized, with publications in reputed journals, including IEEE, Springer, Elsevier, and Wiley 📚.

Publication Profile

Google Scholar

🎓 Education

Dr. Mahfooz Alam holds a Ph.D. in Computer Science from Aligarh Muslim University (AMU), Aligarh, India 🎓. He pursued his M.Tech. in Computer Science and Engineering from Dr. A. P. J. Abdul Kalam Technical University, Lucknow. Additionally, he completed his B.C.A. and M.C.A. from Indira Gandhi National Open University (IGNOU), New Delhi. His academic journey reflects his commitment to excellence in research and innovation in computing technologies 🖥️.

💼 Experience

Dr. Alam has a wealth of teaching and research experience, having served as an Assistant Professor at Al-Barkaat College of Graduate Studies (ABCGS), Aligarh, for six years 🏫. Currently, he holds the position of Assistant Professor at G. L. Bajaj College of Technology and Management, Greater Noida. His dedication to mentoring students and contributing to research has made him a respected figure in academia. His expertise extends to cutting-edge domains such as heuristic and meta-heuristic approaches in secured workflow allocation 🔬.

🏆 Awards and Honors

Dr. Mahfooz Alam has been recognized for his significant contributions to computer science research. His work has been published in high-impact international journals and conferences, gaining citations and recognition from fellow researchers worldwide 🌍. His contributions to machine learning applications and cloud computing security have positioned him as a thought leader in the field.

🔬 Research Focus

Dr. Alam’s research primarily focuses on Cloud Computing, IoT, Workflow Scheduling, and Load Balancing ☁️. He explores innovative approaches to software defect prediction, cybersecurity in IoT, and machine learning-driven optimization techniques. His research integrates heuristic, meta-heuristic, and reinforcement learning methods to address challenges in secure computing environments 🔍.

🔚 Conclusion

Dr. Mahfooz Alam is a dedicated academician and researcher contributing extensively to cloud computing, machine learning, and IoT security. His publications, teaching, and research endeavors continue to impact the field, shaping innovative solutions for complex computational challenges 🚀. With a strong passion for advancing knowledge and technology, Dr. Alam remains a prominent figure in the global research community 🌏.

📜 Publications

Comprehensive Bibliographic Survey and Forward-Looking Recommendations for Software Defect Prediction (IEEE Access, 2025) 📖 DOI: 10.1109/ACCESS.2024.3517419

Software Defects Prediction Using Generative Adversarial Network Based Data Balancing (Book Chapter, 2025) 📖 DOI: 10.1007/978-3-031-83790-6_22

Reinforcing Defect Prediction: A Reinforcement Learning Approach  (Iran Journal of Computer Science, 2025) 📖 DOI: 10.1007/s42044-024-00214-8

Ensemble Deep Learning Techniques for Time Series Analysis (Cluster Computing, 2025) 📖 DOI: 10.1007/s10586-024-04684-0

A Levelized Multiple Workflow Heterogeneous Earliest Finish Time Allocation Model  (Algorithms, 2025) 📖 DOI: 10.3390/a18020099

Cybersecurity Challenges for Social, Ad-hoc, and Sensor Networks in IoT  (Wireless Ad-hoc and Sensor Networks, 2024) 📖 DOI: 10.1201/9781003528982-12

Performance Evaluation on Detection of Phishing Websites Using Machine Learning Techniques (ICEECT, 2024) 📖 DOI: 10.1109/iceect61758.2024.10739275

Empowering IoT Security (Book Chapter, 2024) 📖 DOI: 10.1201/9781003460367-11

A Trustworthy Hybrid Model for Transparent Software Defect Prediction: SPAM-XAI (PLOS ONE, 2024) 📖 DOI: 10.1371/journal.pone.0307112

Security Challenges for Workflow Allocation Model in Cloud Computing Environment: A Comprehensive Survey, Framework,
Taxonomy, Open Issues, and Future Directions  (Journal of Supercomputing, 2024) 📖 DOI: 10.1007/s11227-023-05873-1

Habib Mohammed Hussien | Communication Engineering | Best Researcher Award

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Assist. Prof. Dr. Habib Mohammed Hussien | Communication Engineering | Best Researcher Award

Addis Ababa Science and Technology University, Ethiopia

Dr. Habib Mohammed Hussien (PhD) is an esteemed Assistant Professor at Addis Ababa Science and Technology University, Ethiopia. With a deep passion for Artificial Intelligence, data science, blockchain, and wireless communication, he has significantly contributed to communication engineering, IT security, and industry electrical system design. His research focuses on high-altitude platforms, computer networks, and electrical systems, making him a key figure in technology transfer and industry advisory. Dr. Habib has authored over 32 high-quality publications in reputed SCI, Scopus, and Web of Science-indexed journals and conferences, shaping advancements in his field.

Publication Profile

Google Scholar

🎓 Education:

Dr. Habib Mohammed earned his PhD in Electrical Engineering (Communication Engineering) from Addis Ababa University, AAiT (2016–2022), receiving an “Excellent” grade for his dissertation on “Resource Allocation and Beam-pointing Optimization of High-Altitude Platform (UAV) Wireless Networks”. He completed his MSc in Electrical and Electronics Engineering (Signal and Information Processing) at Tianjin University, China (2008–2011), where he specialized in moving object detection and tracking systems using computer vision. His academic journey began at Adama Science and Technology University, where he earned a BSc in Electrical and Electronics Engineering/Technology with distinction.

💼 Experience:

Dr. Habib currently serves as an Assistant Professor at Addis Ababa Science and Technology University since February 2023. His professional expertise extends to communication system design, electrical and electromechanical system supervision, industry electrical plant design, and IT security. He actively engages in community service and industry advisory, fostering technological innovations.

🏆 Awards and Honors:

Dr. Habib’s outstanding academic and research contributions have been recognized with numerous accolades. He has received prestigious international and institutional awards for his excellence in wireless communication, AI applications, and high-altitude platform research. His PhD dissertation was graded “Excellent”, highlighting his groundbreaking work in UAV-based communication networks.

🔬 Research Focus:

Dr. Habib’s research interests include Artificial Intelligence, data science, and blockchain, with a strong emphasis on applying AI to wireless communication and high-altitude platforms. His work also spans communication engineering, IT security, electrical systems, and industry technology transfer. He explores performance optimization, resource allocation, and spectrum utilization in high-altitude platform networks to enhance global connectivity and broadband services.

📚 Publications:

Compressed Amharic Text: A Prediction by Partial Match Context-Modeling Algorithm (2024) – Communications in Computer and Information Science

Robust rateless space-time block coding for mmWave massive MIMO system (2024) – Heliyon

Coverage and Performance Evaluation of Multibeam Stratospheric Platforms Wireless Broadband Services (2024) – Journal of Computational Science & Data Analytics

Capacity, Coverage and Power Profile Performance Evaluation of a Novel Rural Broadband Services Exploiting TVWS from High Altitude Platform (2022) – IEEE Open Journal of the Computer Society

Performance Optimization of High-Altitude Platform Wireless Communication Network Exploiting TVWS Spectrums Based on Modified PSO (2022) – IEEE Open Journal of Vehicular Technology

🔍 Conclusion:

Dr. Habib Mohammed Hussien is a leading researcher and educator in AI-driven communication systems and high-altitude platforms. His cutting-edge research, extensive publications, and industry collaborations position him as an influential figure in wireless communication, IT security, and electrical system design. With a commitment to innovation and academic excellence, Dr. Habib continues to shape the future of AI and communication networks. 🚀

Abimbola Efunogbon | 5G Networks | Best Researcher Award

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Dr. Abimbola Efunogbon |5G Networks | Best Researcher Award

PhD Candidate, University of Bedfordshire, United Kingdom

Dr. Bims Efunogbon is an innovative and people-centric leader with over 15 years of expertise in software engineering, cloud computing, and AI-driven infrastructure. Based in Bedford, UK, she has successfully built and managed distributed engineering teams across remote environments, delivering cutting-edge solutions in developer tools, automation, and cloud architectures. With a strong foundation in digital transformation, she combines strategic oversight with deep technical proficiency to streamline operations and drive business growth. Passionate about AI/ML, DevOps, and cybersecurity, Dr. Efunogbon continues to leverage her expertise to modernize platforms and enhance engineering best practices.

Publication Profile

Scopus

🎓 Education

Dr. Efunogbon holds a PhD in Machine Learning (2024) from the University of Bedfordshire, where she conducted advanced research in AI and network optimization. She also earned an MSc in Computing & Entrepreneurship from the same university, blending technical expertise with business acumen. Her academic journey began with a BSc in Chemical & Polymer Engineering from Lagos State University, Nigeria, providing her with a strong analytical and problem-solving foundation. Additionally, she has completed specialized training in SOA & Service-Oriented Computing and holds certifications in Microsoft Visual Basic.NET and Accounting (Bookkeeping, SAGE).

💼 Experience

With a career spanning over a decade, Dr. Efunogbon has demonstrated exceptional leadership in managing cross-functional engineering teams, overseeing cloud infrastructure, and implementing DevOps practices. She excels in process automation, AI/ML applications, and high-performance computing, enabling seamless integration of innovative solutions across multiple industries. Her expertise includes strategic technology implementation, cloud computing, and agile methodologies, ensuring operational excellence and efficiency. She has successfully led remote engineering teams, coached talent, and driven digital transformation initiatives in various sectors, reinforcing her role as a key industry expert.

🏆 Awards and Honors

Dr. Efunogbon has received numerous accolades for her outstanding contributions, including the Outstanding Staff of the Year (2011) and Best Canvasser of the Year at Debenhams (2009). She was also recognized as the Best Female Engineering Student by APWEN (2001), highlighting her academic excellence and leadership in STEM fields.

🔬 Research Focus

Dr. Efunogbon’s research revolves around AI-driven network optimization, cloud computing, and MLOps. Her work primarily explores the orchestration of 5G network sub-slicing using machine learning in fully virtualized environments, ensuring enhanced performance and efficiency. She is passionate about leveraging emerging technologies to create scalable, intelligent, and secure infrastructure solutions that drive digital transformation.

🔍 Conclusion

Dr. Bims Efunogbon is a dynamic leader, researcher, and innovator dedicated to driving digital transformation and AI-powered solutions. With a strong background in software engineering, cloud computing, and machine learning, she continues to shape the future of AI-driven network optimization and engineering leadership. Her contributions to academia and industry reinforce her commitment to technological excellence and operational efficiency. 🚀

📚 Publications

Optimal 5G Network Sub-Slicing Orchestration in a Fully Virtualised Smart Company Using Machine Learning – Future Internet (2025) Read Here
Cited by 1 document

 

Emmanouil Genikopoulos | Media | Best Researcher Award

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Mr. Emmanouil Genikopoulos | Media | Best Researcher Award

PhD Candidate, Democritus University of Thrace, Greece

Emmanouil Genikopoulos is a dedicated PhD candidate at the Management Science & Technology Department of Democritus University of Thrace, Greece 🎓. His research delves into the challenges and risks faced by the Greek Regional Press, exploring its sustainability in the digital age 📰. With a strong background in mathematics and business administration, he combines analytical skills with strategic insights to address the evolving media landscape. As the Managing Director of Proininews.gr, he plays a pivotal role in shaping the editorial and business strategy of the platform.

Publication Profile

ORCID

📖 Education

Emmanouil holds a Bachelor’s degree in Mathematics from Aristotle University of Thessaloniki (2020) 🔢. To strengthen his leadership and management expertise, he pursued an Executive Master in Business Administration from International Hellenic University (2022) 🎓. His commitment to continuous learning is evident through specialized certifications, including a seminar on Mathematics Text Composition with LaTeX (2018) 📑, the Google Grow Greek Tourism Online Digital Skills Seminar (2017) 🌐, the Michigan Certificate of Proficiency in English (2011) 🇬🇧, and the Diplôme d’Études en Langue Française (DELF B2) (2011) 🇫🇷.

💼 Experience

Emmanouil began his career as a Mathematics Instructor at a private tutorial center (2018-2021) 📚, where his passion for teaching and analytical problem-solving was ignited. Since 2018, he has been serving as the Managing Director of Proininews.gr 🏢, overseeing editorial operations, business growth, and digital transformation strategies. His role in the media sector complements his academic research, allowing him to gain firsthand insights into the evolving challenges of regional journalism.

🏆 Awards and Honors

While specific awards are not listed, Emmanouil’s contributions to academia and journalism demonstrate his dedication to research and media development 🏅. His expertise in the intersection of digital transformation and regional journalism positions him as a thought leader in the field.

🔬 Research Focus

Emmanouil’s research centers on the Greek Regional Press and its fight for survival in the digital era 📑. His work examines the impact of internet proliferation, competition from online platforms, and the economic sustainability of traditional journalism. Through his PhD studies, he aims to provide innovative strategies to help regional media outlets adapt to the digital shift and remain relevant.

🔎 Conclusion

Emmanouil Genikopoulos is a passionate researcher and media professional who bridges the gap between academia and journalism 🏛️. His work aims to safeguard the future of the Greek Regional Press by addressing digitalization challenges and proposing sustainable business models. Through his research and leadership, he is actively contributing to the evolving discourse on media resilience in the digital age 🌍

📝 Publication

Issues and Challenges Facing the Greek Regional Press: Fight for Survival.

journalism and Media.

DOI: 10.3390/journalmedia6010037 📰.

Abdulkafi Sanada | hypergraph | Best Researcher Award

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Mr. Abdulkafi Sanada | hypergraph | Best Researcher Award

PhD STUDENT, YUNANN UINVERCITY, China

Abdulkafi Saaeed Qaid Sanad is a dedicated PhD student at Yunnan University, Kunming, China, specializing in Computing Mathematics. His research focuses on hypergraphs and their applications in sensor networks and biological systems. With a strong analytical background, he has contributed to advancing knowledge in hypergraph theory, particularly in domination parameters and their real-world applications. His work is recognized for its mathematical rigor and computational insights, making significant strides in theoretical and applied graph studies.

Publication Profile

ORCID

🎓 Education:

Abdulkafi is currently pursuing his PhD at Yunnan University, where he is engaged in high-level research on hypergraph applications. His academic journey is marked by excellence in mathematical computing, with a specialization in graph theory and combinatorial optimization. His work integrates theoretical mathematics with practical applications, making significant contributions to his field.

💼 Experience:

As an emerging researcher, Abdulkafi has completed four research projects, demonstrating expertise in computational mathematics and applied hypergraph theory. He has authored a research paper that provides fundamental results on partial total domination in hypergraphs, establishing new theoretical frameworks and analytical techniques. His research has been instrumental in enhancing the understanding of hypergraph structures and their role in networked systems.

🏆 Awards and Honors:

Abdulkafi’s contributions to hypergraph research have gained recognition, and he has been nominated for the Best Researcher Award in the Computer Scientists Awards. His scholarly work, which has been published in a prestigious journal, is gaining traction in the academic community, reflected in its growing citation index.

🔬 Research Focus:

Abdulkafi’s research is centered on hypergraph theory and its applications in sensor networks and biological systems. His recent study on partial total domination in hypergraphs establishes tight bounds and explores relationships with classical domination parameters. His findings offer valuable insights into optimizing network structures and biological modeling, verified through both analytical and computational methods. His research bridges theoretical mathematics with real-world applications, enhancing the efficiency and robustness of complex systems.

🔎 Conclusion:

Abdulkafi Saaeed Qaid Sanad is a promising researcher in Computing Mathematics, making valuable contributions to hypergraph theory. His work integrates deep mathematical concepts with practical applications in networked and biological systems, providing a strong foundation for future advancements in computational mathematics. With his growing academic impact and dedication to innovative research, he is well on his way to becoming a leading expert in the field. 🚀

📚 Publication:

Partial Total Domination in Hypergraphs
Mathematics
2025 | journal-article

Yansheng Wu | Computer Science | Best Researcher Award

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Dr. Yansheng Wu | Computer Science | Best Researcher Award

Associate Professor, Nanjing University of Posts and Telecommunications, China

Dr. Yansheng Wu is a distinguished researcher and Associate Professor at the School of Computer Science, Nanjing University of Posts and Telecommunications, China. With a strong background in Pure Mathematics, his expertise lies in Finite Fields, Cryptography, and Coding Theory. He has made significant contributions to algebraic coding theory and applications of algebra in cryptographic systems. Dr. Wu has held esteemed positions as a Postdoctoral Research Fellow at Ewha Womans University and a Visiting Scholar at the Hong Kong University of Science and Technology. His scholarly work is widely recognized, with numerous publications in prestigious journals such as IEEE Transactions on Information Theory and Finite Fields and Their Applications. In addition to his research, he actively contributes as a reviewer for multiple high-impact journals, making him a key figure in the field of applied mathematics and cryptography. 📚✨

Publication Profile

🎓 Education

Dr. Yansheng Wu holds a Ph.D. in Pure Mathematics from Nanjing University of Aeronautics and Astronautics (2019), where he focused on algebra and number theory applications in coding theory. He earned his MSc in Pure Mathematics from Guangxi Teachers Education University (2016), working on matrix rings and finite group rings. His academic journey began with a BSc in Mathematics and Applied Mathematics from Anhui Normal University (2013), where he explored number partitions. His rigorous training in algebra, number theory, and their cryptographic applications has shaped his prolific research career. 🎓🔢

💼 Experience

Dr. Wu’s professional journey includes serving as an Associate Professor at Nanjing University of Posts and Telecommunications since 2020. Prior to that, he completed a postdoctoral fellowship at Ewha Womans University, South Korea, where he collaborated on advanced research in finite fields. His academic engagements also include a visiting scholar position at the Hong Kong University of Science and Technology in 2023-2024, enhancing international collaborations in cryptography and coding theory. He has participated in prestigious research forums, including the East Asian Core Doctoral Forum at The University of Tokyo. 🌍📊

🏆 Awards and Honors

Dr. Wu has secured multiple prestigious research grants, including the National Natural Science Foundation of China (2022-2024) and the Talent Introduction Fund at Nanjing University of Posts and Telecommunications (2021-2023). His research excellence is also recognized through editorial board memberships at leading journals like AIMS Mathematics and numerous reviewing roles for top-tier mathematical and cryptographic journals, including IEEE Transactions on Information Theory and Finite Fields and Their Applications. 🏅🔬

🔬 Research Focus

Dr. Wu’s research interests span Finite Fields, Coding Theory, Cryptography, and Algebraic Structures. His work explores the design and analysis of linear codes, algebraic cryptosystems, and combinatorial structures over finite fields. He has extensively studied the properties of MDS codes, Reed-Solomon codes, and quaternary codes, contributing novel constructions with optimal parameters. His interdisciplinary approach integrates number theory with applied cryptography, making his research pivotal in modern data security and error correction. 🔢🛡️

🔚 Conclusion

Dr. Yansheng Wu is a leading figure in the field of mathematics, cryptography, and coding theory. His contributions to algebraic coding, finite fields, and cryptographic structures have significantly impacted secure communications and data integrity. Through his research, editorial roles, and academic collaborations, he continues to shape the future of cryptographic mathematics, making lasting contributions to theoretical and applied aspects of the discipline. 🚀🔢

📚 Publications

Two classes of twisted generalized Reed-Solomon codes with two twists. Finite Fields and Their Applications, 104, 102595. [Cited by: TBD] 🔗 Link

When Does the Extended Code of an MDS Code Remain MDS? IEEE Transactions on Information Theory, 71(1), 263-272. [Cited by: TBD] 🔗 Link

Two classes of narrow-sense BCH codes and their duals. IEEE Transactions on Information Theory, 70(1), 131-144. [Cited by: TBD] 🔗 Link

Linear Complementary Dual Codes Constructed from Reinforcement Learning. Journal of System Science and Complexity. [Cited by: TBD] 🔗 Link

Two families of linear codes with desirable properties from some functions over finite fields. IEEE Transactions on Information Theory, 70(11), 8320-8342. [Cited by: TBD] 🔗 Link

Optimal few-weight codes and their subfield codes. Journal of Algebra and Its Applications, 23(4), 2450248. [Cited by: TBD] 🔗 Link

Two Infinite Families of Quaternary Codes. IEEE Transactions on Information Theory, 70(12), 8723-8733. [Cited by: TBD] 🔗 Link

Quaternary codes and their binary images. IEEE Transactions on Information Theory, 70(7), 4759-4768. [Cited by: TBD] 🔗 Link