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. Aqsa is an Assistant Professor and researcher with over a decade of professional experience in academia and research, specializing in Criminal Law. She has supervised 40 undergraduate theses and served as a project coordinator for the ‘Standardized Module for Legal Awareness Program,’ a project undertaken by Jamia Millia Islamia in collaboration with the National Commission for Women in 2014. She has published six papers in reputed law journals and has presented numerous papers at national seminars and conferences on legal issues. She was honored with the Best Paper Presentation award in the field of Victimology. In addition to her research, she is actively involved in delivering guest lectures, judging moot court competitions, and serving as a resource person for workshops on legal issues at national forums.

Dr. Atul Vashist is an Associate Professor in the Department of Biotechnology, School of Engineering and Allied Sciences (SEAS), Bennett University (Times of India Group), Greater Noida, India. He is the former Principal Scientist in the Department of Infection and Immunology, Translational Health Science and Technology Institute (THSTI), Faridabad, Haryana, India. He received his Ph.D. Degree in Biotechnology from National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Agra and earned his postdoctoral from All India Institute of Medical Sciences, New Delhi and Cornell University, Ithaca, USA. He has more than 15 years of research and teaching experience for conducting laboratory sessions in Microbial Genetics, Molecular Biology and Recombinant DNA Technology. His Area of Expertise include infectious diseases, molecular biology, protein chemistry, mycobacteriology, nuclear medicine, hydrogel technology. To date, he is the author of 20 research articles published in peer reviewed international Journals and authored Five Book Chapters etc.

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.

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.

Ms. Neha Sawal is a Legal Analyst in Apex Fund Services Ltd. Company/Organization located at Bangalore. She received her L.L.B. Degree from Mody University, Laxmangarh in 2016 and earned her postdoctoral in Business law from university of Indian Law, Pune in 2021. Then worked as an Assistant Professor –Tax Law in Christ University Bangalore Institute/University. She has 2.5 Years of Experience in the field of Corporate Law. Her Area of Expertise includes: Business Law, Startup incorporation, constitutional law, Legal studies, Human rights law, Startup funding and legal procedures, family laws, criminal and civil law.

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.

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Dr. Dimple Thakar is an esteemed Assistant Professor in Computer Science at Marwadi University, with a prolific 20-year academic career intertwined with over three years of industry experience in IT and software development. With a Ph.D. in Computer Science specializing in steganography, she is a recognized expert in her field.

Dr. Thakar has a deep commitment to education and research, reflected in her roles as Research Coordinator and NAAC criteria coordinator at the Faculty of Computer Application, where she also serves as the Program Coordinator for the BCA course. Her extensive teaching repertoire includes advanced subjects such as Data Structures, C#.NET, Design Analysis and Algorithms, and Object-Oriented Analysis and Design.

In her previous roles, she served as an Associate Professor at the Sunshine Group of Institutions, where she was also the Academic Head of the MCA department and coordinated various programs and cultural activities. Her early career includes significant stints as a lecturer at Geetanjali College and Matushri Virbai Mahila College, enriching her teaching experience.

Dr. Thakar is also notable for her contributions to the IT industry, having developed critical software solutions for sectors including banking and manufacturing, demonstrating her proficiency in a variety of programming languages and technologies.

Her scholarly contributions are substantial, with numerous papers published in international journals and conferences. She is an active member of the editorial board of the Journal of Applied Science and Engineering Research and serves as a reviewer and committee member on several international conferences.

A passionate mentor and educator, Dr. Thakar is dedicated to fostering research and academic excellence among her students, making her a vital asset to both her university and the broader academic and professional communities.

Dr. Teena is a law academic and researcher with an LL.M. in Corporate Laws from Bhagat Phool Singh University, Sonepat, and a PhD (2019) from Amity University Gurugram. A UGC-NET (Dec 2014) qualified professional, she is recognized for innovative teaching and research excellence, including the Chancellor’s Award for Excellence in Innovative Teaching Pedagogy at K.R. Mangalam.