Artificial Intelligence and Machine Learning

Hrishikesh Uchake is a Computer Science researcher and Master's student at Iowa State University specializing in systems optimization, large language models (LLMs), and privacy-preserving AI. At the SwAPP Lab, in collaboration with researchers from TU Darmstadt and Rice University, his research focuses on advancing LLM-based program analysis and parameter-efficient fine-tuning (LoRA/QLoRA) for symbolic runtime complexity prediction. On the engineering front, he has architected edge-optimized, privacy-first RAG microservices featuring hybrid graph-vector retrieval and automated PII redaction. Hrishikesh is dedicated to building AI systems that are efficient, secure, and responsibly deployed.

Patrick Tenga Shako is a PhD candidate in Machine Learning at Alexandria University, Egypt, and since 2025, a Tutor at the African Institute for Mathematical Sciences (AIMS) Cameroon, where he also instructs bootcamps in Data Science and Mathematical Epidemiology. His research focuses on deep learning for health informatics, with particular interests in culturally-aware AI for low-resource languages and hybrid neural network architectures, as well as theoretical foundations of AI. He previously served as a Teacher Assistant at Nouveaux Horizons University in the DRCongo. Patrick holds an MSc from AIMS Senegal and an honours degree in Mathematics and Computing from the University of Lubumbashi. As a dynamic, innovative and active promising contributor to the African AI ecosystem, he has attended numerous conferences across Africa and engages through publications, mentorship, master thesis monitoring, and conference speaking.

Uma Mahesh R N, Assoc. Prof, Dept of CSE (AI & ML), ATME College of Engineering, Mysuru-570028. He is an Assoc.Prof at ATME College of Engineering, Mysore, Karnataka, India. He has served as an Asst. Prof, Guest Lecturer, and lecturer for eight and half years. He has pursued his research in Vellore Institute of Technology (VIT) Chennai and also qualified UGC-NET Exam in Dec 2019. He obtained his master’s degree, M Tech in VLSI Design and Embedded Systems from VTU, Karnataka, India in 2012 and bachelor’s degree, B E in Electronics and Communication Engineering from Visveswaraya Technological University (VTU), Karnataka, India in 2009. He is a member of the Optical Society of America (OSA). His current research interests are in the areas of digital holography, artificial intelligence, and machine learning.

Dr. Hemlata Patel is a Computer Science academician and researcher with 15+ years of teaching and research experience, specializing in Artificial Intelligence, Machine Learning, and Generative AI. She has authored 25+ research papers in reputed journals and conferences, holds a granted patent in AI-based driver monitoring, and has served in key academic leadership roles including PG Coordinator and Academic Head. She has also served as a Session Chair and Reviewer for international conferences.