Anjan Kumar reddy Ayyadapu | Team Building and Team Management | Best Researcher Award

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Mr. Anjan Kumar reddy Ayyadapu | Team Building and Team Management | Best Researcher Award

Cloudera | United States

Anjan Kumar Reddy Ayyadapu focuses on advanced data engineering, distributed systems, and big data analytics. His work emphasizes scalable data platforms, cloud-based architectures, and real-time data processing frameworks. His research interests include data warehousing, machine learning integration, and performance optimization in large-scale systems. He has contributed to designing efficient data pipelines and improving data reliability across enterprise environments. His expertise also extends to Hadoop ecosystems and modern data infrastructure. His contributions support innovation in data-driven decision-making, enabling organizations to process, analyze, and derive insights from complex and high-volume datasets efficiently.

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Featured Publications


Fuzzy Logic and Machine Learning Hybrid Model for Influencing Consumer Purchasing Behavior in E-Commerce

– International Conference on Computing Technologies & Data Communication, 2025

Deep Learning Models for Predictive Maintenance in Industrial IoT with Big Data Support

– FMDB Transactions on Sustainable Intelligent Networks, 2025

Assoc. Prof. Dr. Yuan. Zhi | Decision-making and Problem-solving | Best Researcher Award

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Assoc. Prof. Dr. Yuan. Zhi | Decision-making and Problem-solving | Best Researcher Award

Wuhan University of Technology | China

Zhi Yuan is a dedicated researcher specializing in intelligent shipping, traffic safety, and data-driven modeling, with strong contributions to maritime transportation analytics and vessel behavior prediction. He holds a bachelor’s degree in Electronic Information Science and Technology, a master’s degree in Software Engineering, and is completing a PhD in Traffic Information Engineering and Control at the School of Navigation, Wuhan University of Technology, including a joint PhD program at Liverpool John Moores University. His research experience spans numerous national and provincial projects on ship energy consumption prediction, vessel traffic flow modeling, multimodal data fusion, and intelligent navigation technologies. He has actively participated in major international conferences such as ISOPE, ICITE, IFSPA, CBD, and WTC, presenting work on AIS-based trajectory reconstruction, fuel consumption modeling, and spatio-temporal data analysis. His publications appear in leading journals including Environmental Modelling & Software, Ocean Engineering, Regional Studies in Marine Science, and IEEE Access. He has also contributed to several patents related to maritime safety and navigation systems. Recognized with multiple scholarships and academic awards, he continues to advance innovative solutions for maritime intelligence and sustainable navigation, aiming to enhance safety, efficiency, and environmental performance in complex waterways.

Profile:  Google Scholar

Featured Publications

1. Yuan, Z., Liu, J., Liu, Y., Zhang, Q., & Liu, R. W. (2020). A multi-task analysis and modelling paradigm using LSTM for multi-source monitoring data of inland vessels. Ocean Engineering, 213, 107604.

2. Yuan, Z., Liu, J., Liu, Y., & Li, Z. (2019). A novel approach for vessel trajectory reconstruction using AIS data. In Proceedings of the ISOPE International Ocean and Polar Engineering Conference (Paper No. ISOPE-I-19-364).

3. Li, Z., Zhang, T., Yuan, Z., Wu, Z., & Du, Z. (2018). Spatio-temporal pattern analysis and prediction for urban crime. In Proceedings of the Sixth International Conference on Advanced Cloud and Big Data (CBD).

4. Wang, X., Liu, J., Liu, Z., & Yuan, Z. (2020). Measurement and evaluation of marine intelligent transportation PNT data based on BDS and DGNSS. IOP Conference Series: Materials Science and Engineering, 719(1), 012069.

Dr. Uma Jothi | Team Building and Team Management | Excellence in Research

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Dr. Uma Jothi | Team Building and Team Management | Excellence in Research

Amrita University, India

Dr. J. Uma is an accomplished academic and researcher in the fields of information technology, cloud computing, artificial intelligence, and cybersecurity. She holds a B.Tech in Information Technology, an M.E. in Computer Science and Engineering with distinction, and has submitted her Ph.D. thesis in Information and Communication Engineering at Anna University. With more than twelve years of academic experience, she has served as Assistant Professor in leading engineering institutions, contributing significantly to teaching, curriculum development, and research mentorship. Her research focuses on cloud resource allocation, deep reinforcement learning, intelligent optimization algorithms, blockchain technologies, IoT-based systems, and data security. She has published impactful journal articles in reputed outlets like Transactions on Emerging Telecommunications Technologies and Springer’s Lecture Notes in Networks and Systems, along with several book chapters and conference papers. Her work includes innovations in heuristic optimization, adversarial defenses in deep learning, and smart healthcare IoMT solutions. She is also a published patent holder in IoT-based agriculture monitoring systems and employee training platforms. Dr. Uma has organized major AICTE- and RGNIYD-funded programs, contributing to national-level capacity building in data science, IoT, and smart city technologies. Her career reflects a strong commitment to advancing research, innovation, and academic excellence.

Profiles:  ORCID

Featured Publications

Assist. Prof. Dr. Anusuyah Subbarao | Digital Transformation | Research Excellence Award

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Assist. Prof. Dr. Anusuyah Subbarao | Digital Transformation | Research Excellence Award

Multimedia University | Malaysia

Ts. Dr. Anusuyah Subbarao is an accomplished Assistant Professor with more than two decades of academic experience in Software Engineering, Computer Science, and Information Technology. She holds a PhD from Universiti Teknologi Malaysia, a Master of Science in Computer Science majoring in Software Engineering, and a Bachelor’s degree in Computer Science from Universiti Putra Malaysia. Her research interests span digital transformation, healthcare informatics, enterprise resource planning, cloud computing risks, global software development, qualitative methodologies, and digital literacy. Throughout her career, she has contributed extensively to research through journal articles, book chapters, and conference proceedings, earning numerous national and international awards for teaching, innovation, and research excellence. She has successfully secured internal and external research grants and served as a reviewer for high-impact journals. Her innovation projects have received multiple gold, silver, and bronze medals at prestigious exhibitions such as InventX and RICES. With strong expertise in digital health, social innovation, ERP adoption, and technology acceptance, she actively supports technological advancement and community empowerment through impactful research. Recognized for her dynamic communication skills and commitment to transformative education, she continues to inspire learners and professionals while advancing cutting-edge research in digital technologies.

Profiles:  ORCID

Featured Publications

Rahman, H. M. M., Islam, J., Malarvizhi, C. A. N., Khan, N., Subhan, K. M. A., & Subbarao, A. (2026). Women empowerment in war and nation building on the basis of Tahmima Anam’s trilogy. Salud, Ciencia y Tecnología.

Murugasu, U. S. G., & Subbarao, A. (2025). Empirical method for developing a hyper-personalization artifact. Engineering Applications of Artificial Intelligence.

Subbarao, A., Siddika, A., Fathullah, M. A., & Sanwani, M. A. B. (2025). The role of mobile applications in shaping digital transformation in higher education among Generation I: A bibliographic study. Information.

Tang, Y., Subbarao, A., & Aw, A. T. H. (2025). A critical review of Theory of Planned Behavior in knowledge payment. International Journal of Management, Finance and Accounting.

Subbarao, A., Khan, N., Siddika, A., Fathullah, M. A., Sanwani, M. A., Adam, F. F., Ferezagia, D. V., & Altamira, M. B. (2025). Digital transformation in higher education: Enhancing support services through mobile apps. HighTech and Innovation Journal.

Lee, A. T., Ramasamy, R. K., & Subbarao, A. (2025). Barriers to and facilitators of technology adoption in emergency departments: A comprehensive review. International Journal of Environmental Research and Public Health.

Abd Sukor, N. I., & Subbarao, A. (2025). Unveiling the pathways: Exploring influential factors shaping intentions to engage with ChatGPT. International Journal of Management, Finance and Accounting.

Lee, A. T., Ramasamy, R. K., & Subbarao, A. (2025). Barriers and facilitators of technology adoption in emergency departments: A comprehensive review [Preprint]. Preprints.

Lee, A. T., Ramasamy, R. K., & Subbarao, A. (2025). Understanding psychosocial barriers to healthcare technology adoption: A review of TAM technology acceptance model and unified theory of acceptance and use of technology (UTAUT) frameworks. Healthcare.

Lee, A. T., Ramasamy, R. K., & Subbarao, A. (2025). Understanding psychosocial barriers to healthcare technology adoption: A review of TAM and UTAUT frameworks [Preprint]. Preprints.

Khairuddin, I. K., & Subbarao, A. (2024). Examining the offline shopping preferences of millennial women: A comprehensive review. International Journal of Management, Finance and Accounting.

Dr. Kalpesh Popat | Computer Science | Best Researcher Award

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Dr. Kalpesh Popat | Computer Science | Best Researcher Award

Marwadi University | India

Profile:  Google Scholar

Featured Publications

  • Wearable Computer Applications: A Future Perspective
    KA Popat, P Sharma
    International Journal of Engineering and Innovative Technology, 3(1), 213–217, 2013. (Citations: 52)

  • A Study of Routing Protocols for MANETs
    KA Popat, P Sharma, H Molia
    International Congress on Information and Communication Technology (ICICT), Springer Proceedings, 2016. (Citations: 7)

  • Comparative Analysis of Several Approaches of Encoding Audio Files
    LK Patil, KA Popat
    International Conference on Advancements in Smart Computing and Information Security, Springer, 2022. (Citations: 6)

  • Various Location Update Strategies in Mobile Computing
    K Popat, P Sharma
    International Journal of Computer Applications (IJCA), pp. 34–38, 2014. (Citations: 5)

  • A Study on Datasets, Risk Factors and Machine Learning Methods Associated with Alzheimer’s Disease
    V Gondalia, K Popat
    International Conference on Advancements in Smart Computing and Information Security, Springer, 2023. (Citations: 4)

Assoc. Prof. Dr. Ankit Chaudhary | Strategic Leadership | Best Researcher Award

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Assoc. Prof. Dr. Ankit Chaudhary | Strategic Leadership | Best Researcher Award

Jawaharlal Nehru University | India

Profiles: Google Scholar | Scopus

Featured Publications

Raheja, J. L., Chaudhary, A., & Singal, K. (2011). Tracking of fingertips and centers of palm using KINECT. 2011 IEEE 3rd International Conference on Computational Intelligence, Modelling and Simulation (CIMSIM), 248–252.

Pandy, H., Chaudhary, A., & Mehrotra, D. (2014). A comparative review of approaches to prevent premature convergence in GA. Applied Soft Computing, 24, 1047–1077.

Chaudhary, A., Raheja, J. L., Das, K., & Raheja, S. (2011). Intelligent approaches to interact with machines using hand gesture recognition in natural way: A survey. International Journal of Computer Science and Engineering Survey (IJCSES), 2(1), 122–133.

Raheja, J. L., Kumar, S., & Chaudhary, A. (2013). Fabric defect detection based on GLCM and Gabor filter: A comparison. Optik, 124(23), 6469–6474.

Raheja, J. L., Mishra, A., & Chaudhary, A. (2016). Indian Sign Language recognition using SVM. Pattern Recognition and Image Analysis, 26(2), 434–441.