Prof. Ilya Levin | Artificial Intelligence | Research Excellence Award

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Prof. Ilya Levin | Artificial Intelligence | Research Excellence Award

Professor of Computer Science | Holon Institute of Technology | Israel

Ilya Levin is a distinguished researcher whose work bridges computer engineering, digital society studies, and the philosophy of technology. His research explores computer design alongside interdisciplinary perspectives on cultural and technological transformations in modern society. With a prolific academic output of around 200 publications spanning engineering and humanities, he has established a strong scholarly presence. His contributions have achieved significant academic impact, with approximately 550 citations from 450 documents indexed in Scopus, alongside 88 publications and an h-index of 13. His research reflects a unique integration of technical innovation and human-centered inquiry in the evolving digital landscape.

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Citations
550

Documents
88

h-index
13

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■ Documents
■ h-index


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Assoc. Prof. Dr. Maikel Leon | Artificial Intelligence | Research Excellence Award

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Assoc. Prof. Dr. Maikel Leon | Artificial Intelligence | Research Excellence Award

Associate Professor Practice | University of Miami | United States

Dr. Maikel Leon is a leading researcher in artificial intelligence, explainable AI, fuzzy cognitive maps, machine learning, and intelligent systems, with strong applications in business technology, cybersecurity, transportation, and sustainable computing. His scholarly work bridges theoretical AI models with real-world decision-making, emphasizing transparency, reasoning, and human-centered intelligence. He has authored influential contributions in top-tier journals and IEEE conferences, advancing cognitive mapping, AI safety, sentiment analysis, and large language model governance. His research impact is well established, with over 900 citations on Google Scholar (h-index 17, i10-index 23) and more than 350 Scopus citations across 38 indexed documents (Scopus h-index 11), reflecting sustained international influence and research excellence.

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Citations
927

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23

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17

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Prof. Hedi Sakli | Artificial Intelligence | Research Excellence Award

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Prof. Hedi Sakli | Artificial Intelligence | Research Excellence Award

Professor | University of Tunis El Manar | Tunisia

Hedi Sakli is a senior researcher and academic expert in telecommunications, electromagnetics, antennas, wave propagation, and advanced radiofrequency systems, with strong contributions spanning 5G technologies, metamaterials, optical communications, signal processing, and applied artificial intelligence. His research integrates theoretical electromagnetism with practical engineering applications, including IoT, sensor networks, and AI-assisted health and communication systems. He has authored an extensive body of peer-reviewed scientific work with significant international visibility. According to indexed databases, his research impact includes more than 116 Scopus-indexed documents with over 1,197 citations and an h-index of 14, alongside more than 1,755 Google Scholar citations and an h-index of 17, reflecting sustained scholarly influence and research leadership.

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Citations
1,197

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116

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14

           🟦 Citations   🟥 Documents   🟩 h-index


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Nannan Zhang | Artificial Intelligence | Research Excellence Award

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Mrs. Nannan Zhang | Artificial Intelligence | Research Excellence Award

Senior Engineer | Research Institute of Petroleum Exploration & Development | China

Mrs. Nannan Zhang is a senior engineer and researcher specializing in petroleum remote sensing and environmental monitoring using advanced geospatial technologies. Her research focuses on applying high-resolution satellite imagery, deep learning, and data fusion techniques to support oil and gas infrastructure detection, environmental impact assessment, and ecological protection. She has led multiple applied research initiatives that bridge scientific innovation with industrial needs, contributing significantly to the practical deployment of remote sensing in energy and environmental fields. Her scholarly work is published in internationally recognized journals and conferences, complemented by patented technologies and a research monograph. She is also actively engaged in advancing professional collaboration within the remote sensing research community.

Citation Metrics (Scopus)

350

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304

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12

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5

                    🟦 Citations    🟥 i10-index    🟩 h-index


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Mr. Abir Das | Artificial Intelligence | Research Excellence Award

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Mr. Abir Das | Artificial Intelligence | Research Excellence Award

Siliguri Government Polytechnic College | India

Abir Das is an emerging AI/ML researcher whose work spans deep learning, computer vision, medical imaging, and explainable AI. With a strong foundation in developing end-to-end AI systems, his research focuses on Vision Transformers, self-supervised learning, noisy-label correction, and interpretable models for high-stakes applications such as healthcare, EEG signal analysis, and industrial fault diagnosis. He has contributed as the first author to multiple international journals, working extensively on hybrid deep learning models, CLIP-based zero-shot learning, EEG motor imagery classification, and sensor-driven diagnostic pipelines. His research integrates expertise in PyTorch, TensorFlow, and modern transformer architectures, emphasizing human-centered, reliable, and transparent AI solutions. He has actively explored the intersection of computer vision and embedded systems, enhancing drone autonomy, depth estimation, and real-time object detection, while also contributing to speech technologies through accent-conversion and multimodal learning. His scientific output includes publications in reputable venues such as Scientific Reports, MDPI Sensors, and Computers, Materials & Continua. His growing scholarly impact is reflected in Scopus metrics: 11 citations from 11 documents with an h-index of 1, and Google Scholar metrics: 12 citations, h-index 1, i10-index 1. His work continues to advance practical and theoretically grounded AI methodologies, blending deep learning innovations with real-world applications across biomedical imaging, EEG analysis, and industrial AI systems.

Publication Profile

Scopus | Google Scholar

Featured Publications

Das, A., Singh, S., Kim, J., Ahanger, T. A., & Pisa, A. A. (2025). Enhanced EEG signal classification in brain computer interfaces using hybrid deep learning models. Scientific Reports, 15(1), 27161.

Zereen, A. N., Das, A., & Uddin, J. (2024). Machine fault diagnosis using audio sensor data and explainable AI techniques: LIME and SHAP. Computers, Materials & Continua, 80(3).

Das, S. S. A. (2025). Few-shot and zero-shot learning for MRI brain tumor classification using CLIP and Vision Transformers. Sensors, 25(23), 7341.

Dr. Yonglin Ren | Computer Science | Innovative Research Award

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Dr. Yonglin Ren | Computer Science | Innovative Research Award

Senior Project Engineer & Researcher | Concordia University | Canada

Dr. Yonglin Ren is a distinguished Senior Project Engineer and Researcher at Concordia University, recognized for his interdisciplinary expertise in mathematical modeling, logistics optimization, and sustainable engineering systems. His research bridges theoretical optimization frameworks and industrial applications, focusing on metaheuristic algorithms, CAD/CAE-based modeling, and supply chain design for humanitarian and sustainable logistics. Dr. Ren’s contributions have advanced methodologies for capacitated location allocation problems, high-speed rail freight transport, and dynamic mechanical system modeling. His work integrates computational intelligence with real-world challenges in water resource management, transportation networks, and crisis logistics, making a significant impact in both academia and industry. His publications are widely cited, reflecting his influence in the fields of operational research and applied optimization, with a Scopus record of 3 indexed documents, 6 citations, and an h-index of 1, alongside a Google Scholar citation count of 26. Dr. Ren has collaborated on multiple international engineering and research projects, driving innovations that contribute to sustainable development and global resource optimization.

Profile

Scopus

Featured Publications 

Ren, Y., & Awasthi, A. (2014). Investigating metaheuristics applications for capacitated location allocation problem on logistics networks. Chaos Modeling and Control Systems Design, 213–238.

Ren, Y., & Awasthi, A. (2012). Location allocation planning of logistics depots using genetic algorithm. Research in Logistics & Production, 2, 247–257.

Ren, Y. (2011). Metaheuristics for multiobjective capacitated location allocation on logistics networks. Concordia University.

Ren, Y., Hajiebrahimi, S., Azad, M., Awasthi, A., & Salah, S. (2020). Humanitarian aid for Wuhan with crisis logistics management approach. Proceedings of the International Conference on Industrial Engineering and Operations Management.

Ren, Y., & Awasthi, A. (2025). Logistics hub location for high-speed rail freight transport—Case Ottawa–Quebec City corridor. Logistics, 9(4), 158.

Assist. Prof. Dr. Mehtab Alam | Artificial Intelligence | Best Researcher Award

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Assist. Prof. Dr. Mehtab Alam | Artificial Intelligence | Best Researcher Award

Assist. Prof. Dr. Mehtab Alam |Assistant Professor | Delhi University | India

Dr. Mehtab Alam is an accomplished IT professional and academic specializing in Artificial Intelligence (AI), Internet of Things (IoT), Cyber Forensics, and Information Security. His research primarily focuses on developing AI-based smart IoT frameworks for intelligent healthcare systems, with a strong emphasis on predictive modeling, machine learning integration, and cloud-based data analytics. His scholarly contributions demonstrate a multidisciplinary approach combining computer science, data-driven healthcare innovation, and digital transformation. He has explored diverse research areas including smart city technologies, blockchain applications in e-governance, cybersecurity frameworks, and the application of swarm intelligence in network optimization. Dr. Alam has published extensively in reputed international journals and conferences, contributing to advancements in AI-driven sustainable systems and smart healthcare solutions. His works reflect technical depth and practical applicability, addressing modern challenges in digital infrastructure, public health informatics, and secure communication systems. He has authored 15 Scopus-indexed publications, with 30 Scopus citations and an h-index of 4. On Google Scholar, his research has received 256 citations with an h-index of 10 and an i10-index of 11, showcasing his growing academic influence.

Publication Profile

Scopus | ORCID | Google Scholar

Featured Publications

Alam, M., Khan, E. R., Alam, A., Siddiqui, F., & Tanweer, S. (2023). The DIABACARE CLOUD: Predicting diabetes using machine learning. Acta Scientiarum Technology, 46(1).

Alam, M., Khan, I. R., Alam, A., Siddiqui, F., & Tanweer, S. (2023). Smart healthcare: Making medicine intelligent. Journal of Propulsion Technology, 44(3).

Alam, M., Khan, R., Alam, A., Siddiqui, F., & Tanweer, S. (2023). AI for sustainable smart city healthcare. China Petroleum Processing and Petrochemical Technology Catalyst Research, 23(2), 2245–2258.

Ansari, A. A., Narain, L., Prasad, S. N., & Alam, M. (2022). Behaviour of motion of infinitesimal variable mass oblate body in the generalized perturbed circular restricted three-body problem. Italian Journal of Pure and Applied Mathematics, 47, 221–239.

Alam, M., Parveen, S. (2021). Shipment delivery and COVID-19: An Indian context. International Journal of Advanced Engineering Research and Science, 8(8), 145–154.

Dr. Ananthoju Vijay Kumar | Artificial Intelligence | Best Researcher Award

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Dr. Ananthoju Vijay Kumar | Artificial Intelligence | Best Researcher Award

Associate Professor | Jain Deemed to be University | India

Dr. Ananthoju Vijay Kumar is an accomplished academician and researcher currently serving as an Associate Professor in the Department of Computer Science and Engineering at Jain University, Bangalore. With nearly two decades of dedicated teaching and research experience, he has established himself as a recognized guide and mentor, supervising multiple doctoral candidates. His expertise spans across Cyber Security, Data Mining, Data Warehousing, Data Science, and Natural Language Processing. Dr. Kumar has made significant contributions to his field through impactful research collaborations, scholarly publications, and active participation in professional academic communities.

Publication Profile

Scopus

ORCID

Google Scholar

Education Background

Dr. Ananthoju Vijay Kumar pursued his doctoral studies in Computer Science and Engineering at Acharya Nagarjuna University, where he developed a strong foundation in computational theories and advanced research methodologies. His education provided him with specialized knowledge in core computer science disciplines and helped him build a research-oriented outlook. This academic journey laid the groundwork for his professional career in both teaching and research, equipping him to mentor students and lead projects across multiple domains. His academic credentials reflect his deep engagement in the field and his commitment to advancing the boundaries of computer science education and innovation.

Professional Experience

Dr. Ananthoju Vijay Kumar has held several important academic positions during his career, shaping his path as a teacher, researcher, and guide. Prior to joining Jain University as an Associate Professor, he served in Sree Chaitanya College of Engineering in Telangana, where he contributed to academic growth and program development in computer applications. At Jain University, he continues to lead both undergraduate and postgraduate courses, while simultaneously mentoring doctoral candidates. His ongoing research includes international collaborations, such as a major project with Melbourne University, Australia, further reflecting his active contribution to the global research community.

Awards and Honors

Throughout his career, Dr. Ananthoju Vijay Kumar has been recognized for his excellence in teaching, research, and academic leadership. Notably, he was honored with the APJ Abdul Kalam Lifetime Achievement National Award, presented by the International Institute of Socio Economic Reforms in Bangalore. This recognition underscores his significant contributions to the academic and research ecosystem. His role as a recognized doctoral guide at Jain University further highlights his influence and dedication to nurturing future researchers. His academic and professional achievements stand as a testament to his dedication to advancing knowledge and societal progress through impactful research and mentorship.

Research Focus

Dr. Ananthoju Vijay Kumar’s primary research interests encompass a wide range of areas within computer science. His focus extends across Cyber Security, Data Mining, Data Warehousing, Data Science, and Natural Language Processing. He has successfully guided research scholars in emerging domains such as agricultural data mining and advanced applications of security systems. His collaboration with international institutions has allowed him to address interdisciplinary challenges and deliver innovative solutions. With more than forty publications in reputed national and international journals, he continues to explore cutting-edge topics while contributing to both academic literature and practical applications of technology.

Publication Notes

  • Enhancing drug discovery and patient care through advanced analytics with the power of NLP and machine learning in pharmaceutical data interpretation
    Published Year: 2025
    Citation: 5

  • Investigating the Determinants of Indian Rupee Exchange Rate: An Empirical Analysis of Influential Factors and Their Impact Level: Part 1
    Published Year: 2024
    Citation: 1

  • A Personalized System to Recommend a Healthy Diet Based on an Individual’s Unique Dietary Needs and Goals
    Published Year: 2023
    Citation: 2

  • Penetration Testing to Investigate Security Vulnerabilities, Bugs and Potential Threats in Flip Kart, JioMart, and Amazon Mobile Application
    Published Year: 2023
    Citation: 1

  • Hybrid Algorithm for Real-Time Sign Language Detection System
    Published Year: 2023
    Citation: 5

Conclusion

In summary, Dr. Ananthoju Vijay Kumar stands out as a distinguished academician with a strong record of teaching, mentoring, and impactful research. His academic background, professional experience, and recognized contributions to the field of computer science demonstrate his commitment to innovation and academic growth. His awards and ongoing projects highlight his active role in both national and international research communities. Through his expertise and dedication, Dr. Kumar continues to inspire students and researchers while making meaningful contributions to technology and society.

Mr. Pingjie Ou | artificial intelligence | Best Researcher Award

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Mr. Pingjie Ou | artificial intelligence | Best Researcher Award

Student, Guangxi University, China

Pingjie Ou is a passionate master’s student at Guangxi University, China, specializing in edge computing, cloud computing, and machine learning. With a strong academic foundation and growing research portfolio, he is actively contributing to next-generation computing paradigms. His early contributions in deep reinforcement learning applications for vehicular networks have already gained traction within the academic community. 🧠💡

Professional Profile

Scopus

🎓 Education Background

Pingjie Ou is currently pursuing his master’s degree at Guangxi University, one of the prominent institutions in China. His academic focus lies in electrical and computer engineering, with emphasis on distributed computing and artificial intelligence. 📘🏫

💼 Professional Experience

Although a student, Pingjie Ou has engaged in substantial research activities under funded projects including The National Natural Science Foundation of China (No. 62162003) and GuikeZY24212059 supported by the Guangxi Province. His active involvement in real-time research scenarios demonstrates promising professional potential. 🔬📊

🏅 Awards and Honors

As an emerging scholar, Pingjie Ou has not yet accumulated major awards but has gained recognition through impactful publications and research citations. His growing citation record and h-index reflect the potential for future accolades. 🏆📈

🔍 Research Focus

His core research interests include edge computing, cloud computing, vehicular networks, and machine learning. He is particularly focused on cooperative caching, resource management, and optimizing network efficiency using artificial intelligence approaches such as deep reinforcement learning. 🚗☁️📶

🧾 Conclusion

Pingjie Ou is a driven young researcher dedicated to advancing intelligent computing technologies. With strong academic grounding, collaborative research exposure, and early citation impact, he stands as a promising candidate for recognition in the domain of computer science and engineering. His scholarly journey is on a clear upward trajectory. 🚀📚

📚 Publication Top Note

  1. PDRL-CM: An efficient cooperative caching management method for vehicular networks based on deep reinforcement learning
    📅 Published Year: 2025
    📖 Journal: Ad Hoc Networks
    🔗 10.1016/j.adhoc.2025.103888

 

Prof. Dr. Metin Zontul | Machine Learning | Best Researcher Award

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Prof. Dr. Metin Zontul | Machine Learning | Best Researcher Award

Dean, Sivas University of Science and Technology, Turkey

Prof. Dr. Metin Zontul is a seasoned academic and researcher in the fields of machine learning, data mining, and intelligent systems, currently serving as Professor and Dean at the Faculty of Engineering and Natural Sciences, Sivas University of Science and Technology, Turkey. With over 30 years of academic experience, he has held various esteemed positions at several universities in Turkey and contributed significantly to national-level research projects, innovation in artificial intelligence, and academic leadership.

Publication Profile

Google Scholar

ORCID

🎓 Education Background

He earned his Ph.D. in Quantitative Methods in Business Administration (2004) from the Institute of Social Sciences, focusing his dissertation on clustering countries trading with Turkey using SOM-type artificial neural networks. He holds an M.Sc. in Computer-Aided Design, Manufacturing, and Programming (1996), where he analyzed local area network access protocols, and a B.Sc. in Computer Engineering (1993) from Middle East Technical University.

💼 Professional Experience

Prof. Zontul has held multiple academic ranks, starting as a Lecturer at Cumhuriyet University (1994–2005) and advancing to Assistant, Associate, and then Professor at institutions such as Istanbul Aydın University, Arel University, Ayvansaray University, and Topkapi University. He has been a key academic leader, serving as Dean and Department Chair across several faculties. Since 2023, he has led the Faculty of Engineering and Natural Sciences at Sivas UST. He also supervises graduate theses and collaborates on research with TUBITAK and other industry-linked projects.

🏆 Awards and Honors

Prof. Zontul has received Publication Incentive Awards from Istanbul Aydın University in 2014 and 2016 for his scholarly contributions. He is a former member of IEEE and holds a 2024 patent for a Personnel Assignment and Routing System related to unit failure and maintenance operations.

🔬 Research Focus

His research interests span machine learning, deep learning, data mining, signal processing, natural language processing, and intelligent systems. He has contributed extensively to the scientific community through 25+ peer-reviewed journal articles, 20+ conference papers, and collaborative projects involving academia and industry. His supervision of numerous theses and his involvement in over 30 national research projects reflect his commitment to practical and academic advancements in AI.

🔚 Conclusion

Prof. Dr. Metin Zontul stands as a multifaceted academician blending research, leadership, and innovation. His significant contributions to AI, education, and national research initiatives have cemented his reputation as a leading scholar in his field.

📚 Top Publications 

  1. Application of artificial intelligence neural network modeling to predict the generation of domestic, commercial and construction wastes (2021)
    Journal: Waste Management & Research
    Cited by: 92
    Co-authors: G. Coskuner, M.S. Jassim, S. Karateke

  2. Comparative performance analysis of support vector regression and artificial neural network for prediction of municipal solid waste generation (2022)
    Journal: Waste Management & Research
    Cited by: 49
    Co-authors: M.S. Jassim, G. Coskuner

  3. Urban bus arrival time prediction: A review of computational models (2013)
    Journal: International Journal of Recent Technology and Engineering (IJRTE)
    Cited by: 123
    Co-author: M. Altinkaya

  4. Measuring the efficiency of telecommunication sectors of OECD countries using data envelopment analysis (2005)
    Journal: CU Journal of Economics and Administrative Sciences
    Cited by: 41
    Co-authors: O. Kaynar, H. Bircan

  5. Wind speed forecasting using reptree and bagging methods in Kirklareli-Turkey (2013)
    Journal: Journal of Theoretical and Applied Information Technology
    Cited by: 35
    Co-authors: F. Aydin, G. Dogan, S. Sener, O. Kaynar

  6. The prediction of the ZnNi thickness and Ni% of ZnNi alloy electroplating using a machine learning method (2021)
    Journal: Transactions of the IMF
    Cited by: 34
    Co-authors: R. Katirci, H. Aktas

  7. A smart and mechanized agricultural application: From cultivation to harvest (2022)
    Journal: Applied Sciences
    Cited by: 31
    Co-authors: F. Kiani, G. Randazzo, I. Yelmen, A. Seyyedabbasi, S. Nematzadeh, F.A. Anka, et al.