Dr. Chitra Dhawale is a Professor in the Science and Technology Department of Datta Meghe Institute of Education and Research (Deemed to be University). She received her Ph.D. Degree in Computer Science from S.G.B.Amravati University in 2009. She is having 25+ years of teaching and research experience in computer science. Her area of Expertise includes: Data Science, Machine Learning, Deep Learning, Python Programming, R Programming, Tableau. She/he is the author of 02 books, 08 book chapters and 78 research papers.

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).

Dr. M. Prasad is a Professor in the Department of Computer Science & Engineering at Shri Vishnu Engineering College for Women (Autonomous), Bhimavaram, Andhra Pradesh. With 18+ years of teaching experience, including two years of international teaching in Ethiopia, he has guided 35+ UG/PG projects and currently supervises research scholars. A Google Android Educator, he conducts training on Google products across India and has mentored 150+ Google Certified Student Experts. He has published and presented 45+ research papers, organized 20+ academic events, and is a professional member of bodies including IEEE, ISTE, and CSI. His interests include ML, data mining, cloud, Android (Kotlin), MANETs, security, IoT, and visual analytics.

MR. SYED KRAR HAIDER BUKHARI is Lecturer in the Department of Computer Science and associated with Faculty of Computer Science and Information Technology, Superior University, Lahore. He received the Master of Science degree in computer science (MSCS) from FAST NUCES Islamabad, Pakistan in 2022. He has 5+ years of experience in Artificial Intelligence, machine learning, image processing, computer Vision, deep Learning ,NLP and Generative AI.He is currently working as an Data Scientist at digital DirAction. He is mentor and AI / ML Trainer at DirAction. He worked remotely as an AI / ML engineer at TPL UK based company. He is Editorial Board Member at STM Journals. He also worked remotely as an AI / ML engineer. He recived distinguished awards in research funds for his publications.His research publication includes in the areas of artificial intelligence, machine learning, image processing, computer Vision, NLP, and deep learning.

Dr. Vipin Singh is a former Associate Professor in the University Institute of Biotechnology, Chandigarh University, Mohali, India. He received his Ph.D. Degree in Biotechnology from Centre for Cellular and Molecular Biology, Hyderabad and earned his postdoctoral from Institute of Biology, Ecole normal Superior, IBENS – Paris. He has more than 11 years of research and teaching experience in Genome data analysis, Molecular biology, Bioinformatics. His Area of Expertise include Molecular Biology, rDNA Technology, Genetics, Genomics and Proteomics, Bioinformatics -NGS Data Analytics, PERL, R, Python, Awk, Biopython. To date, he has been the resource person for 10 Workshops, the author of 9 research articles published in peer reviewed international Journals etc.

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.

A motivated, detail-oriented Data Science enthusiast with hands-on experience building and deploying machine learning and NLP solutions. Proficient in Python, data preprocessing, and model optimization, with a focus on turning complex data into actionable insights. Experienced in creating interactive Streamlit dashboards to showcase AI applications clearly and effectively. Currently seeking an internship or entry-level role in Data Science or AI Engineering to contribute analytical thinking, creative problem-solving, and strong collaboration skills in an innovation-driven team.

Dr. Sumit Sheoran is an assistant officer and research scholar in the department of biochemistry at the university of lovely professional university, Jalandhar. He received his Ph.D. Degree in Biochemistry from Lovely Professional University in 2024. He has 2 Years of experience in the field of biochemistry. His area of expertise includes drug discovery, nano-formulations, cell line analysis, and wet lab techniques of biochemistry, microbiology, and molecular biology. He is the author of various reviews as well research papers in reputed high-impact factor journals, recipient of any grants, awards, etc.

Dr. Nabeel Ahmad is Dean at School of Allied Sciences and Professor in the Department of Biotechnology, Dev Bhoomi Uttarakhand University, Dehradun, Uttarakhand, India. Over 14 year of teaching, research and administrative experience. He has published several research papers in National and International peer reviewed journals. He also served as Editor in three books on nanobiotechnology namely 3 D Printing Technology in Nanomedicine, Intelligent Nanomaterials for Drug Delivery Applications and Emerging Nanotechnologies for Medical Applications published by Elsevier Pennsylvania USA. He also serving as eminent member of Editorial Board of Journal of International repute. In addition to that, seven patents are also in his credit on nanobiotechnology and discussion is going on to transfer the technology to three organizations to commercialize the same. The same has already been highlighted in the National news papers. Recipient of prestigious fellowship including the Teachers Associateship for Research Excellence (TARE) fellowship under Science and Engineering Research Board (SERB) Department of Science & Technology (DST) New Delhi. He is the Fellow of Linnean Society (FLS) London. His areas of research are nanobiotechnology, nanosensors, and bioprocess engineering.

Dr. R. Sharma is an Associate Professor in the Department of Ocean Engineering, IIT Madras (Chennai). He earned his B.E. in Civil Engineering from IIT Roorkee (1994), completed an M.Tech in Ocean Engineering (1999), and received his PhD from IIT Kharagpur (2008). His research focuses on the design, analysis, and production of marine structures, along with marine robotics and dynamic data-driven forecasting systems. He is actively engaged in advancing ocean engineering solutions through interdisciplinary research that bridges structural engineering, robotics, and predictive modeling.

Dr Harishchander Anandaram is an Assistant Professor at Centre for Excellence in Computational Engineering and Networking, Amrita Vishwa Vidyapeetham, Coimbatore, Tamil Nadu, India. He received his Ph.D. Degree in Bioengineering from Sathyabama Institute of Science and Technology, Chennai, in 2020. In his PhD thesis, he worked on pharmacogenomics and miRNA- regulated networks in psoriasis, a joint project with Georgetown University, USA, JIPMER, INDIA, CIBA, INDIA, and ILS, INDIA. His thesis illustrated a multi-disciplinary approach by combining computational biophysics and molecular biology machine learning. Also, he had the opportunity to collaborate with international researchers and have publications in reputed international journals in bioinformatics and systems biology simultaneously. He has received the prestigious “Young Scientist Award” from “The Melinda Gates Foundation” for his research abstract on “The Implications of miRNA Dynamics in Infectious Diseases”. To date, he has reviewed more than 200 manuscripts in systems biology. He is currently working on predicting Novel lead molecules and biomarkers using computational techniques to target inflammatory pathways associated with infectious and autoimmune disorders.