Tag: Statistical Analysis

Dr. Ujjwal Das | Innovative Leadership | Best Researcher Award

Published on by Leadership and Management

Dr. Ujjwal Das | Innovative Leadership | Best Researcher Award

Fakir Mohan University | India

Dr. Ujjwal Das is an Assistant Professor of Geography at Fakir Mohan University, Odisha, India, with a distinguished academic and research profile. He completed his Ph.D. in Geography from Rajiv Gandhi University, Arunachal Pradesh in 2025, following an M.Phil. and Master of Population Studies from the International Institute for Population Sciences, Mumbai, and a Gold Medal in Applied Geography from Ravenshaw University. He has presented at numerous national and international conferences on topics including urban poverty, child malnutrition, health inequality, environmental change, and population studies. His research interests span urban and rural demography, population health, socio-economic disparities, and geospatial analysis, with applications in public health and sustainable development. Dr. Das has supervised several graduate theses, contributing to advancements in population studies and geography, and has published a range of scholarly articles, amassing 37 citations with an h-index of 3. Recognized for his scholarly excellence, he has received accolades for academic performance and research contributions. His work integrates rigorous quantitative analysis with practical implications for policy and community health, establishing him as a leading researcher in population geography and applied demography. Dr. Das continues to advance interdisciplinary research addressing pressing socio-environmental challenges in India and beyond.

Profile:  Scopus | Google Scholar

Featured Publications

Das, U., & Kar, N. (2025). Understanding economic disparities in elderly health outcomes: A decomposition analysis in Bankura district. BMC Public Health, 25, 3015.

Mr. Venkatesh Guntreddi | Machine Learning and Deep Learning | Best Researcher Award

Published on by Leadership and Management

Mr. Venkatesh Guntreddi | Machine Learning and Deep Learning | Best Researcher Award

Vellore Institute of Technology | India

Venkatesh Guntreddi is an emerging AI professional with a strong academic and industry background in Artificial Intelligence and Machine Learning. He is currently pursuing an M.Tech in Computer Science and Engineering with a specialization in AI and ML at Vellore Institute of Technology, where he has maintained an excellent academic record. He previously earned his B.Tech in Computer Science from Andhra University, building a solid foundation in programming, algorithms, and systems. Professionally, he has gained two years of experience as an AI Engineer at Tech Mahindra, where he developed and deployed end-to-end AI solutions spanning natural language processing, computer vision, and generative AI. His expertise covers the entire data science lifecycle, including data preprocessing, model building, optimization, and deployment using cloud platforms such as AWS and GCP, supported by MLOps best practices. He has worked extensively with advanced techniques in deep learning, transfer learning, and large language models, including Retrieval-Augmented Generation (RAG) and Agentic AI workflows. His research interests lie in scalable AI systems, applied NLP, generative AI, and real-world enterprise applications. Recognized for delivering impactful, production-ready solutions, he is committed to advancing data-driven innovation and seeks opportunities to contribute as an AI/ML Engineer or Data Scientist.

Profile:  ORCID

Featured Publications

“Deep Learning based Glaucoma Detection using Majority Voting Ensemble of ResNet50, VGG16, and Swin Transformer”