Dr. GAURAV MUDGAL is an Associate Professor in the University Institute of Biotechnology within Chandigarh University, Mohali, Punjab. Previous to this he headed science clusters at Auronya College, Pondicherry and Mangalayatan University, Aligarh. He is a La Caixa fellow, and received his Ph.D. Degree in Molecular Biosciences with the highest distinction from the Autonomous University of Madrid, Spain in 2014 with his work on molecular biology of coronavirus-host interactions realized at the CSIC center of excellence -National Center of Biotechnology. He had previously worked as a nationally recruited scientific officer at the CGIAR headquarters of ICRISAT in Hyderabad and had handled many projects related to transgenic crop developments. He is having 16 years of research experience in biotechnology. His area of Expertise includes: Molecular biology of virus-host interactions, plant-microbe interaction, plant and animal biodiversity, underutilized crop translations and bioremediation. He is the author of many publications with the journals like PLOS, MDPI, Nature, Springer, Elsevier and Taylor & Francis and a recipient of a core research grant of 4.3 million INR for his work on DNA barcoding and morphometrics on Indian tardigrades.

Prof. (Dr.) Kamini Chauhan Tanwar is a Professor and Head in Behavioral and Allied Sciences at the Amity Institute of Clinical Psychology, Amity University, Haryana. With 20+ years of academic leadership, she has served as Associate Dean at K.R. Mangalam University and Officiating Dean at SGT University, where she contributed to NEP 2020 implementation, PhD supervision, and new program development. She holds a PhD in Child Psychology from Aligarh Muslim University, and her work spans clinical psychology and behavioral sciences, including the development of psychometric tools. She has 29+ publications, has presented research globally, and received the Dr. Sarvepalli Radhakrishnan Best Teacher Award (2021).

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. 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.

Mr. Selva Karthick M is a Quality Control Manager and Professor (Embryology Department) at OASIS Fertility, Hyderabad. He holds a B.Tech in Biotechnology and a PGDSCT in Stem Cells from Anna University and Loyola College (2005–2010). With 12 years of experience in IVF laboratories, he has worked as a Lab Manager and QC Manager, supporting quality systems and laboratory performance in assisted reproduction. His expertise spans stem cells, IVF lab quality management, and AI applications in reproductive medicine, and he has authored a book chapter on Artificial Intelligence in Assisted Reproductive Technology.

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. Md Afroz Alam is a Professor and Head in the Department of Bioinformatics, at Shalom New Life College, Bengaluru, Karnataka. He received his Ph.D. Degree in Bioinformatics from Jaypee University of Information Technology, Solan, Himachal Pradesh in 2009. Then he has worked as Assistant Professor, Head and Program Coordinator in the Department of Bioinformatics at Karunya Institute of Technology and Sciences (Deemed University) for 11 Years. He is having 14 years of teaching and research experience in the field of Bioinformatics. His area of expertise includes: Computer Aided Drug Design, Molecular Modeling and Simulation, QSAR and Pharmacophore modeling, Biostatistics, R programming, Unix and Linux. He is the author of 24 research articles, 2 Book Chapter, recipient of short-term research grants, workshop grants, and National Youth leader award by Ministry of Youth Affairs and Sports under the National Service Scheme, Government of India.

Ms. Daina Yesuraj is a Lecturer in the GUCR department at the University of Dubai. She is pursuing her Ph.D. Degree in Marine biotechnology from the University of Milano-Bicocca, Italy since 2023. She has more than 10 years of combined experience in the field of teaching and research. Her area of expertise includes: sustainability and seaweed biotechnology. She is the author of few research papers and a book chapter related to application of seaweeds. Other than academia, she simultaneously serves as a Judge for the Global Undergraduate Awards, Ireland since 2022.

Dr. Ali H. Wheeb is a Professor in the Computer Engineering College of Engineering at the University of Baghdad. He earned his PhD in Electrical and Electronic Engineering (2024) from UKM University and brings 10 years of experience in computer engineering along with 16 years in academia. His expertise spans computer engineering and networking, UAV systems, UAV routing protocols, and machine learning, including reinforcement learning. He has published widely and has received research grants and awards.

An experienced agriculture professional with a strong background in agriculture, horticulture, and crop protection, along with expertise across allied agri-sectors. Skilled in supporting farm productivity through practical, field-driven solutions—spanning crop health management, sustainable practices, and stakeholder coordination. Focused on improving yields, quality, and long-term resilience in agricultural systems.

Advocate with expertise in Legal Research, Teaching, and Litigation, passionate about the intersection of Law and Artificial Intelligence.