Rounak Raman | Information Technology | Research Excellence Award

Published-on by Indian Scientist

Mr. Rounak Raman | Information Technology | Research Excellence Award

Netaji Subhas University of Technology | India

Rounak Raman is a technology researcher and engineering innovator with a strong academic background in Information Technology and a multidisciplinary portfolio spanning artificial intelligence, machine learning, generative AI, computer vision, IoT systems, wireless sensor networks, and network security. He has gained significant research and development experience through contributions at DRDO-INMAS, where he worked on EEG-based cognitive analytics and neurofeedback systems, and at NSUT, where he designed advanced IoT protocols including energy-aware clustering, trust-based opportunistic communication, and secure hierarchical key-rotation mechanisms. His technical work extends into generative AI solutions, semantic search systems, real-time computer vision applications, and large-scale image and document intelligence models. He has led impactful projects such as PRAGATI smart parking, SyntheX document analysis framework, and QuickTag for AI-driven product taxonomy. His achievements include securing positions in national innovation challenges, hackathons, entrepreneurship competitions, and international fellowship programs. Alongside industry-recognized certifications in data science, system design, and cybersecurity, he has also held leadership roles in student organizations, mentoring teams, guiding open-source contributions, and facilitating research collaboration. His research interests include GenAI, NLP, IoT security, WSNs, cryptography, edge intelligence, and autonomous network optimization. He remains committed to creating scalable, socially impactful technological solutions.

Profiles: Google Scholar

Featured Publication

Raman, R., Yadav, A., Kukreja, D., & Sharma, D. K. (2025). CONTEXT-NET: A context-aware nexus-based aggregation protocol for opportunistic networks. Internet of Things, 101809.

Raman, R., Yadav, A., & Kukreja, D. (2025). ARMor-IoT: Aggregated reliable mechanism for optimized trust in IoT. In International Conference on Artificial Intelligence and Its Application (pp. 229–241).

Kumar Rahul | Artificial Intelligence | Innovative Research Award

Published-on by Indian Scientist

Dr. Kumar Rahul | Artificial Intelligence | Innovative Research Award

NIFTEM | India

Dr. Kumar Rahul is an Assistant Professor in the Department of Interdisciplinary Sciences at the National Institute of Food Technology Entrepreneurship and Management (NIFTEM), Sonepat, combining his expertise in software engineering, big-data analytics and food-technology research. With a Ph.D. in Computer Science and Engineering focused on enhanced data cleaning and outlier-detection using hybrid meta-heuristics, and earlier degrees in software engineering (M.E.) and computer applications (BCA/MCA), his career spans roles in both academia and engineering. He has authored numerous peer-reviewed articles (including systematic reviews on big-data/AI, applications of AI and ML in food-industry and healthcare, hybrid meta-heuristic models, data-cleaning frameworks) and holds patents in sensor-network water-quality monitoring and deep–learning corner-detection algorithms. His Google Scholar h-index stands at 10 with over 500 citations, reflecting his growing research impact. His research interests include artificial intelligence and machine learning for food processing, big-data analytics and industrial systems, IoT/Edge–Fog–Cloud applications, and optimization/meta-heuristic techniques for outlier or anomaly detection. He has also contributed to applied projects such as mobile-app development for fruit-freshness checking and served as Co-PI on a funded initiative in the food-technology domain. His work has been recognised through awards including UGC-NET (LS) and strong GATE performance, and he actively participates in faculty development programs and serves as a resource-person on topics such as IoT in industries and agri-startups. In summary, Dr. Rahul brings a multidisciplinary blend of computer-science rigor and domain-specific application in food-technology, making him a valuable contributor to research and education in smart food systems and analytics.

Profile: Scopus

Featured Publications

Rahul, K., & Banyal, R. K. (Erratum). Retraction Note: Firefly algorithm: an optimization solution in big data processing for the healthcare and engineering sector [Retraction note]. International Journal of Speech Technology, 24(3), 581–592. https://doi.org/10.1007/s10772-020-09783-y

Rahul, K., Arora, N., & Arora, S. (2025). Effectiveness of blockchain and IoT in horticulture crop supply chain. In B. Sharma, D.-T. Do, S. N. Sur, & C.-M. Liu (Eds.), Advances in Communication, Devices and Networking. Springer Nature.

Major Singh Goraya | Computer Science | Best Researcher Award

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Prof. Major Singh Goraya | Computer Science | Best Researcher Award

Sant Longowal Institute of Engineering and Technology | India

Dr. Major Singh Goraya is a Professor in the Department of Computer Science and Engineering at Sant Longowal Institute of Engineering and Technology (SLIET), Longowal. He holds a Ph.D. from Punjabi University, complemented by strong academic foundations in computer engineering. His primary research areas include cloud computing, resource management, green computing, fault tolerance, and load balancing. With 27 Scopus-indexed publications, 460 citations across 399 documents, and an h-index of 10, Dr. Goraya has made consistent scholarly contributions to high-performance and sustainable computing. His studies have explored dynamic resource allocation, energy-efficient scheduling frameworks, and deep learning-based optimization techniques. He has supervised several Ph.D. and M.Tech. research scholars and continues to guide emerging researchers in cloud resource efficiency and intelligent computation. His international exposure through conferences in the UK, Canada, and Malaysia reflects his active engagement in global research forums. In addition, he has successfully organized numerous academic workshops, conferences, and training programs. Dr. Goraya’s innovative contributions strengthen the integration of artificial intelligence and cloud technology, promoting scalable and eco-efficient computational solutions that advance modern computer engineering research.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Goyal, N., Singh, T., & Goraya, M. S. (2025). Deep convolutional neural networks vs. vision transformers for video-based human activity recognition. In Proceedings of Lecture Notes in Computer Science (pp. xx–xx). Springer.

Singh, J., & Goraya, M. S. (2023). An autonomous multi-agent framework using quality of service to prevent service level agreement violations in cloud environment. International Journal of Advanced Computer Science and Applications, 14(3).

Goyal, N., Goraya, M. S., & Singh, T. (2023). An axiomatic analysis for object detection and recognition using deep learning. In Smart Innovation, Systems and Technologies (pp. xx–xx). Springer.

Thakur, A., & Goraya, M. S. (2022). A workload and machine categorization-based resource allocation framework for load balancing and balanced resource utilization in the cloud. International Journal of Grid and High Performance Computing, 14(2).

Hasan, M., Goraya, M. S., & Garg, T. (2022). E-FFTF: An extended framework for flexible fault tolerance in cloud. In Lecture Notes in Networks and Systems (pp. xx–xx). Springer.

Bhaveshkumar Pasi | Engineering | Research Excellence Award

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Dr. Bhaveshkumar Pasi | Engineering | Research Excellence Award

Dr. Bhaveshkumar Pasi | Vishwaniketan’s Institute of Management Entrepreneurship & Engineering Technology | India

Dr. Bhaveshkumar N. Pasi is a highly accomplished academic and researcher in the field of Mechanical Engineering with a specialized focus on Industry 4.0 Technology Management. With more than a decade of teaching experience and significant industry exposure, he has established himself as an influential figure in both academia and research. His contributions span innovative research in intelligent manufacturing, sustainable development, and digital transformation. A prolific scholar with numerous awards and global recognitions, Dr. Pasi has also served as a reviewer and editorial board member for reputed journals. His work continues to impact the fields of engineering, technology, and management.

Professional Profile

Google Scholar | Scopus Profile

Education

Dr. Bhaveshkumar N. Pasi holds a Ph.D. in Technology – Mechanical Engineering from Sardar Patel College of Engineering, with his research focused on Industry 4.0 Technology Management. He also completed a Master’s degree in Mechanical Engineering with a specialization in Machine Design and a Bachelor’s degree in Mechanical Engineering from reputed institutions in Mumbai. In addition, he earned a diploma in Mechanical Engineering and is currently pursuing an MBA from Vellore Institute of Technology to strengthen his management expertise. His academic journey is marked by consistent excellence, laying a strong foundation for impactful contributions in research, teaching, and leadership.

Professional Experience

Dr. Bhaveshkumar N. Pasi has accumulated over ten years of teaching experience, serving as Head of Department and Associate Professor at Vishwaniketan’s Institute of Management, Entrepreneurship, and Engineering Technology (ViMEET). He has previously held faculty positions at institutions including CSMIT Panvel, LTCOE Koparkhairane, and PHCET Rasayani. In addition to his academic career, he gained two years of industry experience as a trainee engineer and design engineer intern with organizations such as SIEMENS Ltd. His global exposure includes post-doctoral research affiliation at Amity University Dubai and prestigious international research fellowships in Bulgaria, contributing to global advancements in Industry 4.0 and entrepreneurship.

Awards and Recognition

Dr. Bhaveshkumar N. Pasi has received numerous awards for his exceptional contributions to research and academia. He was recognized for one of the Top 10 Most-Cited Articles of 2023 by Wiley and secured multiple prizes in national and international competitions, including the CII National Six Sigma Competition and the MILCA Award. He was also honored as a Highly Cited Researcher in Intelligent Manufacturing and won the Young Achiever Award from the Institute of Scholars. His accolades include Best Research Paper Awards, Excellence in Research honors, and top ranks in research conventions. These awards highlight his impactful and innovative research.

Research Skills

Dr. Bhaveshkumar N. Pasi possesses strong expertise in Industry 4.0 Technology Management, intelligent manufacturing, and sustainable engineering practices. His skills encompass digital transformation, entrepreneurship, and technology-driven process innovation. He has successfully conducted interdisciplinary research, blending engineering with business and management studies, particularly through projects in automation, artificial intelligence, and higher education systems. As a reviewer for leading Scopus and Q-indexed journals, he contributes to maintaining high standards in global research. His ability to integrate industrial experience with academic insights enables him to address practical challenges with scholarly solutions. His research fosters innovation in both industry and academic ecosystems worldwide.

Conclusion

Dr. Bhaveshkumar N. Pasi stands as a distinguished scholar and educator whose contributions extend beyond traditional mechanical engineering into the evolving landscape of Industry 4.0 and digital transformation. With a strong record of teaching, research, and international collaborations, he continues to influence both academic and industrial sectors. His numerous awards and recognitions affirm his dedication to advancing knowledge and innovation. Through impactful research, global fellowships, and leadership roles, he exemplifies the qualities of a modern academic leader. With continued pursuit of excellence, he is well-positioned to make significant contributions to technological progress and societal development.

Notable Publications

The current sustainability scenario of Industry 4.0 enabling technologies in Indian manufacturing industries
Author: BN Pasi, SK Mahajan, SB Rane
Journal: International Journal of Productivity and Performance Management
Year: 2021
Citations: 81

Smart Supply Chain Management: A Perspective of Industry 4.0
Author: BN Pasi, SK Mahajan, SB Rane
Journal: International Journal of Advanced Science and Technology
Year: 2020
Citations: 68

Industry 5.0 and the future of sustainable manufacturing: A systematic literature review
Author: G Narkhede, B Pasi, N Rajhans, A Kulkarni
Journal: Business Strategy & Development
Year: 2023
Citations: 58

Industry 5.0 and sustainable manufacturing: a systematic literature review
Author: GB Narkhede, BN Pasi, N Rajhans, A Kulkarni
Journal: Benchmarking: An International Journal
Year: 2025
Citations: 33