Dr. Rini Chaturvedi is a DST Inspire Faculty in the Department of Microbiology at the All India Institute of Medical Sciences, New Delhi. She received her Ph.D. Degree in Structural parasitology from ICGEB, New Delhi University in 2021 and earned her postdoctoral from university of ICGEB, New Delhi. She is having 13 Years of Experience in the field of Molecular medicine. Her Area of Expertise includes: Structural Parasitology, Drug Discovery, Public Health, Immunology, epigenetics. She is the author of 21 research articles, DST INSPIRE Faculty grant recipient, Young Scientist award, etc.

Dr. Vikas S. Chomal is a seasoned academic and researcher with a PhD in Computer Science (Software Engineering) from Singhania University. With over a decade of teaching and research experience in software engineering, data science, and business analytics, Dr. Chomal has contributed significantly to both academia and industry. He has held positions such as Assistant and Associate Professor at esteemed institutions and has been involved in curriculum development, research guidance, and administrative roles. His research focuses on software documentation, project management, and data science, and he has published extensively in international journals and conferences. Dr. Chomal is also an award-winning researcher, recognized for his contributions to knowledge management and software engineering.

Dr. Ravichandran is Professor and Head, Department of Chemistry at DRK Institute of Science and Technology, Hyderabad. He earned his PhD (2006) from Madurai Kamaraj University and an MSc from Pondicherry University, and qualified GATE (95th percentile, 1998). With 18 years of teaching and research experience, he has published 175 international papers, holds 16 patents, and has authored 12 textbooks and 60 book chapters. A recipient of multiple national and international honours, his current focus is on developing greener, sustainable chemical methodologies.

Mr. Devinder Singh Anand is an Assistant Professor in the UILS Department at the Chandigarh University. He received his LL.M Degree from Panjab University in 2013 and submitted his Ph.D. Thesis in May 2024. He worked as a Lecturer in Various Companies/MNCs Since 2013. He has 11 Years of Experience in the field of Law. His Area of Expertise includes Criminal Law and Constitutional Law. He published more than 7 Research papers in renowned peer-reviewed journals and various papers presented at the National and International Conferences.

Dr. A. O. Surendranathan is a Retired Professor in the Metallurgical & Materials Engineering Department of National Institute of Technology Karnataka. He received his Ph. D. Degree in Metallurgical Engineering from Mangalore University in 1994. Then continued to work as a Lecturer (Senior Scale) in National Institute of Technology for 2 Years. He is having 41 Years of Experience in the field of Metallurgical & Materials Engineering. His Area of Expertise includes Powder Metallurgy, Super plasticity, Lithium Battery, and Corrosion. He is the author of a book entitled, “An Introduction to Ceramics and Refractories”, recipient of 7 Project Grants. 7 awards etc.

Dr. Mahima Sharma is an Associate Professor in the Science and Humanities Department (Physics) of Compucom Institute of Technology and Management (CITM), Jaipur, Rajasthan. She received her Ph.D. Degree in Nanoscience and Nanotechnology from Amity Institute of Nanotechnology, Amity University Uttar Pradesh, Noida in 2020. Then worked as a Lecturer in Government Engineering College, Jhalawar Rajasthan for 3 Years. she is having 7 Years of Experience in the field of physics. Her Area of Expertise includes: Nanotechnology, Water Remediation, Nanocomposites, Functional Nanomaterials, Synthesis of Nanomaterials, Characterization of Nanomaterials, Photocatalysis, Adsorption.

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.

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. Himadri B. Bohidar is currently associated with National Center for Excellence in Agro- nanotechnology TERI-Deakin Nanobiotechnology Center, Gurgaon, NCR. He received his Ph.D. Degree in Physics from Indian Institute of Technology, Delhi in 1981 and earned Academic Experience of 31 years in Teaching & Research. Then earned Administrative Experience in JNU for 8 Years. He is having 12 Years of Administrative Experience at National Level. His Area of Expertise includes Nanoscience and Nanotechnology, Nano-bio interface science, Soft Matter Science, Polymer Physics, Biophysics. He has 221(h index: 28) Publications in International Journals and author of 2 Books i.e., Polymer Physics and Molecular Biophysics: Cambridge University Press, 2014, UK, and Self-Assembly of Nanoparticles: Wiley- VCH, Berlin, Germany, 2017). He has filed 9 Patents (one granted). He has supervised 23 Ph.D. students in his career till now. Externally funded Projects Handled is of Rs. 207 lakhs (from DST, DBT and SERB).

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Dr. Noopur Singh is a freelance researcher in the field of Bioinformatics. She received her Ph.D. Degree in Bioinformatics from Faculty of Engineering and Technology, Dr. A.P.J. Abdul Kalam Technical University, Lucknow, Uttar Pradesh in 2023. Before that, she worked as a JRF at the DBT-funded bioinformatics facility at Sri Venkateswara College, University of Delhi. Subsequently, she held the position of Assistant Professor in the Department of Biotechnology at Dr. Ambedkar Institute of Technology for Handicapped, Kanpur. Dr. Noopur has over 10 years of experience in the field of Bioinformatics. Her area of expertise includes Computer Aided Drug Design, Molecular Modeling, Gene Editing, NGS Data Analysis, Sequence Analysis, and Gene Prediction. She has authored 7 research publications.

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.