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.

 

 

Mr. Saurabh Pahune | Generative AI | Best Researcher Award

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Mr. Saurabh Pahune | Generative AI | Best Researcher Award

Techncial Architect, Cardinal health, Ohio, United States

Saurabh Pahune (SMIEEE) is a highly skilled business automation analyst and AI/ML researcher with over 11 years of diverse industry and academic experience. He currently serves as a peer reviewer and editorial board member for reputed journals and is frequently invited as a guest speaker on AI/ML-driven supply chain automation. Known for his innovative work in large language models, generative AI, and intelligent systems, he has published several impactful papers and is a Senior Member of the IEEE. His work seamlessly blends technology with business, improving operational efficiency and driving enterprise transformation across healthcare and logistics domains.

Publication Profile

Google Scholar

ORCID

Scopus

🎓 Education Background

Saurabh holds a Master of Science in Electrical and Computer Engineering from the University of Memphis, USA (2016–2019). He earned his M.Tech in VLSI from RTMNU, Nagpur (2013–2015), and a Bachelor of Engineering in Electronics and Telecommunication from SGBAU, Amravati (2009–2013). His strong academic foundation underpins his technical expertise in AI, ML, and supply chain technologies.

💼 Professional Experience

Saurabh is currently leading AI and automation initiatives as an independent researcher and analyst at Tata Consultancy Services and previously at Vivid Technologies. His experience spans roles at Evolent Health, iSkylar Technologies, and the University of Memphis, where he conducted advanced research in intelligent systems. He specializes in LLMOps, GenAI, RPA, NLP, knowledge graphs, and automation frameworks, contributing significantly to process optimization in healthcare and logistics.

🏆 Awards and Honors

As a recognized Senior Member of IEEE, Saurabh has actively contributed as a reviewer for IEEE Transactions and Taylor & Francis journals. He has also earned multiple professional certifications, including IBM Chatbot Builder, Agile Planning, and Advanced RPA Professional by Automation Anywhere, and was awarded the Accredited Project Manager Certification (APRM) by the International Organization for Project Management.

🔬 Research Focus

Saurabh’s research centers around Artificial Intelligence, Machine Learning, Generative AI, Natural Language Processing, and their integration with business systems like supply chain and healthcare automation. His work explores scalable LLMOps, predictive analytics, knowledge graphs, and ontology-driven architectures. With over 100 citations, his contributions continue to shape cutting-edge applications in AI-enhanced business intelligence.

🔚 Conclusion

Saurabh Pahune exemplifies the synergy between research excellence and industry innovation. With strong technical acumen and strategic insight, he contributes to the academic community while driving AI-powered transformation across sectors. His commitment to continuous learning and cross-functional collaboration makes him a standout candidate for advanced research awards and leadership in AI and automation.

📚 Top Publications –Mr. Saurabh Pahune

  1. Several categories of large language models (LLMs): A short survey
    Year: 2023
    Journal: arXiv preprint arXiv:2307.10188
    Cited by: 36
    Co-author(s): M. Chandrasekharan

  2. Accelerating neural network training: A brief review
    Year: 2024
    Journal: Proceedings of the 2024 8th International Conference on Intelligent Systems
    Cited by: 22
    Co-author(s): S. Nokhwal, P. Chilakalapudi, P. Donekal, S. Nokhwal

  3. EMBAU: A novel technique to embed audio data using shuffled frog leaping algorithm
    Year: 2023
    Journal: Proceedings of the 2023 7th International Conference on Intelligent Systems
    Cited by: 21
    Co-author(s): S. Nokhwal, A. Chaudhary

  4. Quantum Generative Adversarial Networks: Bridging Classical and Quantum Realms
    Year: 2024
    Journal: Proceedings of the 2024 8th International Conference on Intelligent Systems
    Cited by: 18
    Co-author(s): S. Nokhwal, A. Chaudhary

  5. Large Language Models and Generative AI’s Expanding Role in Healthcare
    Year: 2024
    Journal: ResearchGate
    Cited by: 12
    Co-author(s): N. Rewatkar

  6. A Brief Overview of How AI Enables Healthcare Sector Rural Development
    Year: 2024
    Journal: ResearchGate
    Cited by: 8
    Co-author(s): S.A. Pahune

  7. The Importance of AI Data Governance in Large Language Models
    Year: 2025
    Journal: Big Data and Cognitive Computing 9(6), 147
    Cited by: 5
    Co-author(s): Z. Akhtar, V. Mandapati, K. Siddique

  8. Investigating the application of quantum-enhanced generative adversarial networks in optimizing supply chain processes
    Year: 2024
    Journal: International Research Journal of Engineering and Technology (IRJET)
    Cited by: 4
    Co-author(s): N. Rewatkar

  9. Cognitive automation in the supply chain: Unleashing the power of RPA vs. GenAI
    Year: 2024
    Journal: ResearchGate
    Cited by: 4
    Co-author(s): N. Rewatkar

  10. Healthcare: A Growing Role for Large Language Models and Generative AI
    Year: 2023
    Journal: International Journal for Research in Applied Science and Engineering
    Cited by: 4
    Co-author(s): N. Rewatkar

 

Ms. ANKITA MANOHAR WALAWALKAR | Artificial Intelligence | Best Researcher Award

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Ms. ANKITA MANOHAR WALAWALKAR | Artificial Intelligence | Best Researcher Award

PhD, ASIA UNIVERSITY, TAIWAN

Ankita Manohar Walawalkar is an accomplished legal and academic professional from India, currently pursuing her Ph.D. in Business Administration at Asia University, Taiwan, with a strong focus on Artificial Intelligence, Corporate Governance, Human Resource Management, and Supply Chain. With a unique blend of legal expertise and international business experience, Ankita has spent over two decades navigating corporate procurement, translation, teaching, and research. Fluent in English, Hindi, and Chinese, she bridges cultural and linguistic gaps, making her a versatile contributor in academia and international business diplomacy. Her academic versatility, fieldwork experience, and multilingual proficiency make her a standout scholar and practitioner on global platforms.

Publication Profile

🎓 Education Background

Ankita is presently enrolled in a Ph.D. program in Business Administration at Asia University, Taiwan (2023–Present), focusing on interdisciplinary support areas such as AI, corporate governance, and HR. She holds a Master of Laws (LL.M.) in Corporate and Commercial Law from Amity University, Mumbai (2020–2021), where she deepened her expertise in IP, company law, and securities. Her foundational legal education was completed with a BLS-LLB from KES Jayantilal H. Patel Law College, University of Mumbai (2014–2020). Additionally, she completed a one-year Chinese Language Training at Zhengzhou University, China (2017–2018) under the prestigious Confucius Institute Scholarship.

💼 Professional Experience

Ankita’s dynamic professional career spans corporate sourcing and academia. From 2021 to 2023, she worked as a Sourcing Specialist at Algol Chemicals India Pvt. Ltd., New Delhi, specializing in Chinese supplier coordination, procurement, and logistics compliance. She has over five years of experience as a Freelance Interpreter and Translator, working with companies like VOXCO Pigments, Podar Enterprise, and Kohinoor Group, and participating in over 15 international exhibitions and conferences including the China-India Economic and Trade Conference. At Asia University, she serves as an EMI Teaching Assistant, TA for the Rural AI Bilingual Program, and works with the IC OIA office while volunteering at the INGO Research Centre. Her freelance work includes judicial interpretations, educational instruction for YCT/HSK levels, and market research projects for global clients.

🏆 Awards and Honors

Ankita was awarded the Confucius Institute Scholarship for a year-long language training program at Zhengzhou University, China (2017–2018), a testament to her dedication to language proficiency and cross-cultural studies. Her consistent participation in high-impact conferences and scholarly publications with global collaborators is a reflection of her ongoing academic recognition.

🔬 Research Focus

Ankita’s research interests are deeply rooted in AI Ethics, Corporate Governance, Human-AI Interaction, and Blockchain in HR, as reflected in her recent contributions to IGI Global book chapters and international conferences. She is actively involved in interdisciplinary explorations, combining law, ethics, and technology, with a notable focus on Human-AI collaboration in corporate decision-making, DEI challenges in hospital management, and the use of AI in education and language preservation.

📌 Conclusion

Ankita Manohar Walawalkar  stands at the unique intersection of law, language, and artificial intelligence, bringing over 20 years of diverse administrative, academic, and international experience to her work. Her contributions across education, corporate sourcing, and AI ethics research demonstrate her commitment to global impact and ethical innovation. As she continues her doctoral journey, her voice in the field of AI governance and multilingual education is becoming increasingly influential.

📝 Top Publication Notes

  1. Foundations of AI Ethics – 2024, IGI Global
    Cited by: 3 articles (as of 2024)
    Authors: Walawalkar, A. M., Moslehpour, M., Phattanaviroj, T., & Kumar, S.

  2. Utilization of Blockchain Technology to Manage Human Resources Data: Security Issues in Government Agencies – 2024, IGI Global
    Cited by: 2 articles
    Authors: Yati, P. P., & Walawalkar, A.

  3. Data Ethics and Privacy – 2024, IGI Global
    Cited by: 2 articles
    Authors: Phattanaviroj, T., Moslehpour, M., & Walawalkar, A. M.

  4. The Future of Ethical AI – 2024, IGI Global
    Cited by: 3 articles
    Authors: Firmansyah, G., Bansal, S., Walawalkar, A. M., Kumar, S., & Chattopadhyay, S.

  5. Investigating Human-AI Collaboration in Corporate Decision-Making for Sustainable Business Practices: An Extended UTAUT2 Model – 2025 (Upcoming), ICHESPAN Conference
    Status: Accepted, not yet cited
    Authors: Walawalkar, A. M., Moslehpour, M., Gupta, V., Rizaldy, H.

Assoc. Prof. Dr. Feng Xie | intelligence systems | Best Researcher Award

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Assoc. Prof. Dr. Feng Xie | intelligence systems | Best Researcher Award

School of Information Science and Technology / Sanda University, China

Dr. Feng Xie is an accomplished Associate Professor at the School of Information Science and Technology, Sanda University, China . With a career that bridges academia and industry, he has been at the forefront of intelligent transportation systems, urban mobility, and smart city innovations. As a tech entrepreneur and researcher, he has led over 500 consultancy projects globally and holds numerous patents and software copyrights. His expertise spans traffic management, AI applications, IoT, and big data analytics, with significant contributions that have earned him prestigious awards and talent program recognitions.

Publication Profile

ORCID

🎓 Education Background:

Dr. Xie earned his Ph.D. from Nanyang Technological University, Singapore , in 2002 and completed his postdoctoral research at Tongji University, China , in 2005. His academic foundation is rooted in transportation engineering, computer science, and intelligent systems, providing the basis for his interdisciplinary approach to research and technology deployment.

💼 Professional Experience:

Currently serving as an Associate Professor at Shanghai Shanda University, Dr. Xie has also been the founder of Shanghai Van-Chance Trans. Technologies (2010–2022), where he led large-scale smart transportation projects across Asia. He worked extensively with government and industry partners, such as Singapore’s Land Transport Authority and IKEA, and directed projects like the world’s largest underground parking facility. He has also held leadership roles in cross-border technology associations and has developed systems used in cities like Beijing, Hangzhou, and Wuhan.

🏆 Awards and Honors:

Dr. Feng Xie has been recognized with several prestigious awards, including the IES Engineering Achievement Award in 2004 for his contributions to Singapore’s i-Transport project and the Shanghai Science Progress Award in 2013. He has also been selected for elite talent programs such as the Shanghai “3310” Overseas High-level Talent Program and Nanjing “321” Leading Technology Entrepreneurship Talent Program. His innovative work has resulted in 5 patents and 9 software copyrights, solidifying his impact in both academic and applied research domains.

🧠 Research Focus:

Dr. Xie’s research is centered on Intelligent Transportation Systems (ITS), AI-driven traffic management, smart parking, indoor positioning, urban planning, and emerging tech applications in IoT and quantitative finance. His efforts in traffic simulation, traveler behavior modeling, and data-driven urban development have influenced policies and technologies in smart mobility across multiple major cities. He has collaborated with Tongji University, published in Transportation Research Board journals, and contributed to key projects with global relevance.

✅ Conclusion:

With a unique blend of academic rigor and entrepreneurial innovation, Dr. Feng Xie exemplifies leadership in intelligent systems and sustainable urban technology 🌍. His work has profoundly shaped how modern cities approach mobility, data analytics, and smart infrastructure development. He continues to push the boundaries of AI, transportation science, and cross-border collaboration, earning him a rightful nomination for the Best Researcher Award.

📚 Top Publications :

PDCG-Enhanced CNN for Pattern Recognition in Time Series Data
Journal: Elsevier – Expert Systems with Applications
Year: 2022 | Cited by: 38 articles

Modeling Traveler Behavior Using Hybrid RP/SP Data and Path-Size Logit Models
Journal: Transportation Research Record: Journal of the Transportation Research Board
Year: 2012 | Cited by: 65 articles

AI-Based Traffic Incident Management Systems: A Case Study of Singapore’s i-Transport Project
Journal: IEEE Transactions on Intelligent Transportation Systems
Year: 2014 | Cited by: 79 articles

Urban Traffic Simulation Using GPS Data Fusion and Adaptive Signal Optimization
Journal: Journal of Transportation Engineering, ASCE
Year: 2016 | Cited by: 45 articles

Smart Parking Systems Powered by IoT and AI: A Case Study of Guinness Record Facility
Journal: Sensors (MDPI)
Year: 2020 | Cited by: 54 articles

Dr. Saikat Gochhait | Artificial Intelligence | Best Researcher Award

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Dr. Saikat Gochhait | Artificial Intelligence | Best Researcher Award

Assistant Professor, Symbiosis International (Deemed to be University), India

Dr. Saikat Gochhait is an accomplished Indian academic, researcher, and innovator, currently serving as an Assistant Professor at Symbiosis International Deemed University, Pune. With a strong background in management, information technology, and behavioral sciences, he also contributes as a Research Team Member at the Symbiosis Centre for Behavioral Sciences and Adjunct Faculty at the Neuroscience Research Institute, Samara State Medical University, Russia. He is a prolific inventor with several published patents and has been recognized for his contributions to interdisciplinary research in artificial intelligence, neuroscience, and optimization algorithms.

Publication Profile

🎓 Education Background

Dr. Gochhait earned his Doctor of Philosophy (Ph.D.) in Management from Sambalpur University in 2014 🧠, a Master’s in Business Management from the same university in 2009 📊, and a Master’s in Information Technology from Sikkim Manipal University in 2017 💻. His diverse academic training has laid a multidisciplinary foundation that supports his cross-functional research across business, IT, and neuroscience domains.

💼 Professional Experience

With over two decades of experience spanning academia and industry, Dr. Gochhait has held key roles such as Assistant Professor at ASBM University, Khalikote University, and HOD at Sambhram Institute of Technology. His industry experience includes strategic roles at IFGL Refractories Ltd. and Tata Krosaki Refractories Ltd. Currently, at Symbiosis International University, he mentors postgraduate and doctoral students, manages AI-centric research projects, and continues collaborative ventures with prestigious institutions including IIT Roorkee and international universities 🌏.

🏆 Awards and Honors

Dr. Gochhait has been honored as a Senior Member of IEEE in 2019 and recognized by the Alpha Network of the Federation of European Neuroscience Societies in 2024 🌟. His academic excellence has earned him international research fellowships from leading institutions, including the Natural Sciences and Engineering Research Council of Canada, Samara State Medical University (Russia), National Dong Hwa University (Taiwan), and the University of Deusto (Spain), with total grants exceeding USD 20,000 💰.

🔬 Research Focus

Dr. Gochhait’s research is rooted in artificial intelligence, behavioral science, energy prediction, bio-inspired optimization algorithms, and neuroscience-enhanced technology applications 🧬. He is a principal investigator of high-impact government-funded projects such as AI-based load forecasting for dispatch centers and BCI-integrated neurofeedback games. His innovations also extend to smart agriculture and transport systems, reflecting his dedication to societal improvement through technology 🤖🌱.

✅ Conclusion

Blending visionary academic pursuit with innovative problem-solving, Dr. Saikat Gochhait continues to drive global research collaborations, mentor emerging scholars, and contribute meaningful technological solutions to real-world challenges 📚🌍. His evolving body of work bridges disciplines, industries, and nations, making him a respected figure in AI, management, and neuroscience research.

📚 Top Publications

Pufferfish Optimization Algorithm: A New Bio-Inspired Metaheuristic Algorithm for Solving Optimization Problems
Biomimetics, 2024 – Indexed in Scopus/WoS
Cited by: 12 articles

Dollmaker Optimization Algorithm: A Novel Human-Inspired Optimizer for Solving Optimization Problems
International Journal of Intelligent Engineering and Systems, 2024 – Indexed in Scopus
Cited by: 9 articles

Addax Optimization Algorithm: A Novel Nature-Inspired Optimizer for Solving Engineering Applications
International Journal of Intelligent Engineering and Systems, 2024 – Indexed in Scopus
Cited by: 7 articles

Enhancing Household Energy Consumption Predictions Through Explainable AI Frameworks
IEEE Access, 2024 – Indexed in Scopus/WoS
Cited by: 15 articles

URL Shortener for Web Consumption: An Extensive and Impressive Security Algorithm
 Indonesian Journal of Electrical Engineering and Computer Science, 2024 – Indexed in Scopus
 Cited by: 6 articles

Abdulkareem Alzahrani | Computational Intelligence | Best Researcher Award

Published on by Computer Scientists Awards

Assoc. Prof. Dr. Abdulkareem Alzahrani | Computational Intelligence | Best Researcher Award

Associate Professor of Artificial Intelligence at CS Dept. and Vice-Dean for Postgraduate Studies, Research, Innovation, and Quality, Saudi Arabia

🎓 Dr. Abdulkareem Aodah Alzahrani is an Associate Professor in Computer Science specializing in Artificial Intelligence at Al-Baha University, Saudi Arabia. He currently serves as the Vice Dean for Postgraduate Studies, Research, Innovation, and Quality at the Faculty of Computing and Information. With a career spanning over 16 years, Dr. Alzahrani has held several leadership roles, including Head of the Computer Information Systems and IT Departments. He is a founding member of multiple research and innovation committees, contributing significantly to the advancement of AI and machine learning applications. 🌟

Publication Profile

Google Scholar

Education

📚 Dr. Alzahrani earned his Ph.D. in Computer Science from the University of Essex, UK, in 2017, specializing in Artificial Intelligence. He also holds an MSc in Advanced Web Engineering from the University of Essex (2011) and a BEd in Computer Science from Abha Teacher College, Saudi Arabia (2007). His academic journey reflects his passion for advancing AI and computational research. 🌍

Experience

💼 Dr. Alzahrani has held pivotal roles at Al-Baha University, including Vice Dean (2023–present), Member of the Standing Committee for Scientific Research and Innovation (2024–present), and Head of the Computer Information Systems Department (2020–2023). He was instrumental in establishing a cooperative computer research lab between Al-Baha University and the Research, Development, and Innovation Authority. With extensive teaching and administrative experience, he has significantly contributed to enhancing the university’s academic and research environment. 🌐

Awards and Honors

🏅 Dr. Alzahrani has received the Reward for Excellence four times during his Ph.D. studies, awarded by the Saudi Arabian Cultural Bureau in London. Additionally, he was honored with the Abha Award of Excellence in IT in 2006, recognizing his contributions to the field. His accolades underscore his commitment to academic and technological excellence. 🏆

Research Focus

🔍 Dr. Alzahrani’s research focuses on Artificial Intelligence, Machine Learning, and their applications in healthcare, tourism, and security. His work includes developing robust machine learning models, sentiment analysis for multimedia, and AI-driven solutions for real-world challenges. He is particularly interested in hybrid frameworks and innovative methodologies for enhancing computational efficiency. 🤖

Conclusion

🌟 Dr. Abdulkareem Aodah Alzahrani is a distinguished academic and researcher dedicated to advancing AI and computing. His extensive experience, impactful research, and leadership roles make him a prominent figure in Saudi Arabia’s academic and technological landscape. 🚀

Publications

AI-Driven Innovations in Tourism: Developing a Hybrid Framework for the Saudi Tourism Sector (2025) – AI, 6.1, DOI:10.3390/ai6010007.
Cited by: 7.

A Novel Outlier-Robust Accuracy Measure for Machine Learning Regression Based on Hassanat Distance Metric (2024) – DOI:10.21203/rs.3.rs-4492948/v1.
Cited by: 10.

A Novel Outlier-Robust Accuracy Measure for Machine Learning Regression Using a Non-Convex Distance Metric (2024) – Mathematics, 12.22, DOI:10.3390/math12223623.
Cited by: 15.

Advanced CKD Detection through Optimized Metaheuristic Modeling in Healthcare Informatics (2024) – Scientific Reports, 14.1, DOI:10.1038/s41598-024-63292-5.
Cited by: 20.

DeepSVDNet: A Deep Learning-Based Approach for Detecting and Classifying Vision-Threatening Diabetic Retinopathy in Retinal Fundus Images (2024) – Computer Systems Science and Engineering, 48.2, DOI:10.32604/csse.2023.039672.
Cited by: 25.

Improved Support Vector Machine Based on CNN-SVD for Vision-Threatening Diabetic Retinopathy Detection and Classification (2024) – PLOS ONE, 19.1, DOI:10.1371/journal.pone.0295951.
Cited by: 18.

Aspect-Based Sentiment Analysis for Social Multimedia: A Hybrid Computational Framework (2023) – Computer Systems Science and Engineering, 46.2, DOI:10.32604/csse.2023.035149.
Cited by: 30.

Harnessing Machine Learning for Arabic COVID-19 Omicron News Classification: A Comparative Study (2023) – International Journal of Advances in Soft Computing & Its Applications, 15.2.

A Comparative Study for SDN Security Based on Machine Learning (2023) – International Journal of Interactive Mobile Technologies, 17.11, DOI:10.3991/ijim.v17i11.39065.
Cited by: 12.

Cloud Intrusion Detection System Based on SVM  (2023) – International Journal of Interactive Mobile Technologies, 17.11, DOI:10.3991/ijim.v17i11.39063.
Cited by: 14.