Dr. Abhishek Aher is a Project Scientist at the Centre for Cellular & Molecular Biology. He received his Ph.D. Degree in anti-cancer research from Centre for DNA Fingerprinting & Diagnostics, Hyderabad, in 2023 and earned his postdoctoral from Lab of Immunology, CDFD Then working as a Project Scientist in CCMB. He has 9 Years of Experience in the field of Cancer drug discovery & development. His Area of Expertise includes Drug Discovery & Development for Cancer & Parkinson’s Disease. He is the author of 9 research articles many awards.

Dr. G. Reshma is an Assistant Professor in the Department of Information Technology at PVPSIT. She received her Ph.D. in Computer Science Engineering from Acharya Nagarjuna University in 2021 and worked as a Assistant Professor in PVPSIT Institute/University for 17 Years. She is having 8 Years of Experience in the field of Data Analytics. Her area of expertise includes: Predictive Analytics, Data Mining, Data Science, AI. She is the author of Prologue to Artificial Intelligence Techniques-Predicting the future. Recipient of Young Researcher Award 2020 by International Association of Research and Developed Organization on March 2020. A total of papers 14 in various SCIE, SCOPUS indexed, Springer Series AISC These publications have got 10 citations and h -index of 3.

Dr. Galiveeti Poornima is a distinguished academician and researcher specializing in Machine Learning (ML) and Deep Learning. With a Ph.D. in Computer Science from Presidency University, Bengaluru, she has devoted her research to pioneering advancements in Signed Language Recognition, particularly for Indian Sign Languages. Her expertise extends to the application of ML and AI in healthcare, IoT, and cybersecurity, where she has contributed significantly to the development of intelligent systems for medical diagnostics and social media analytics.

Dr Shiv Singh is a Scientist and Assistant Professor at the Council of Scientific & Industrial Research-Advanced Materials and Process Research Institute. He received his Ph.D. Degree in Chemical Engineering from the Indian Institute of Technology Kanpur, Kanpur in 2015 and earned his postdoctoral from the Korea Institute of Materials Science, South Korea. Then worked as a DST INSPIRE Faculty in CSIR-Indian Institute of Toxicology Research, Lucknow for 3 Years. He is having ~8 Years of Experience in the field of Nanomaterials & Electrochemistry. His Area of Expertise includes: Microbial fuel cell, Microbial electrolysis cell, CO 2 reduction, Electrochemical sensors etc. He is the author of approximately 50 prestigious journals with an average Impact factor ~9, Also recipient of many Grants, awards etc from International and National authorities (DST, CSIR, European Union etc).

Dr. Kusuma Jagadish is a Postdoctoral Researcher in the Department of Materials Engineering at the Indian Institute of Science (IISc), Bengaluru. She earned her PhD in Nanotechnology (2020) from Jain (Deemed-to-be) University and has 9 years of experience in materials science and nanotechnology. Her expertise includes materials synthesis for energy applications, particularly photovoltaics and third-generation solar cells. She has published 21 peer-reviewed articles and is a recipient of the WISE–KIRAN PDF Award (2024).

He received his Ph.D Degree in Carbon based Nanomaterials from IIT, Bombay in 1997 and earned his postdoctoral from University of Namur (Belgium) 1997-1998 and Nagoya University (JAPAN) in 1998-1999 under JSPS Program. Then joined as a Research Scientist in DMSRDE, DRDO, Kanpur in 1999. He is having 28 Years of Experience in the field of Carbon based Nanomaterials. His Area of Expertise includes: Synthesis and Application of Carbon based Nanomaterials. He is the author of 78 peer reviewed journal papers, 7 book chapters and have 19 granted patents. He is recipient of DRDO Young Scientist Award 2001 and B. D. Bangur Award 2019 from Indian Carbon Society.

Dr. Kumar earned his PhD in Computer Science & Engineering (2021) from UPES, Dehradun, with research focused on semantic information extraction using deep learning, particularly for agricultural applications. He is also pursuing a postdoctoral fellowship at Universidad Internacional Iberoamericana, Mexico. A prolific researcher, he has published 21+ SCI/SCIE-indexed articles and additional Scopus publications, contributed to books and book chapters, and holds a granted patent. He has supervised PhD candidates and delivered workshops and T3 sessions in machine learning, business analytics, and optimization, with interests spanning deep learning, IoT, and cybersecurity.