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. Subas Chandra Dinda is a Professor & Dean in the School of Pharmacy at The Neotia University, Kolkata, West Bengal, India. He received his Ph.D. Degree in Pharmacy (Pharmaceutical Technology) from Jadavpur University in 2008 and honored with Life Fellow (F.I.C.) in 2008 from Institution of Chemists (India). Then worked as a Professor of Pharmaceutics/Pharmaceutical Technology in different Institute/University in India and abroad i.e., in Ethiopia for more than 25 Years. He is having 26 Years of Teaching-cum-Research Experience in the field of Pharmaceutical Technology. His Area of Expertise includes: Design and Development of Drug Delivery and Drug Targeting Systems such as Matrix, Gastro-retentive, Mucoadhesive and Nanotechnology based drug formulations for sustain and controlled drug delivery in drug targeting. He is the author of the book “Advances in Pharmaceutical Technology”, published more than 125 research articles in peer reviewed journals, supervised & awarded more than 25 Ph.Ds. under Berhampur University, Odisha, and recipient of many awards such as “Gold Medal for B.Pharm – 1996”; “Priyadarshini Indira Gandhi Award – 2005”; “Arch of Excellence (Education) Award – 2005”; “ISTE’S Rajalaxmi Memorial Best Teacher Award for Orissa State – 2006”; “APP’S Distinguished Teacher Award – 2015”, “VDGOOD’S Outstanding Scientist Award – 2019”, “APP’S Best Achiever (for Teaching & Research) Award – 2020”, and “Shiksha Bharati Award – 2021”.

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. 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.

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

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.

Dr. Jyoti Gangane is a Professor in the E&TC Department at Vishwaniketan’s iMEET (University of Mumbai). She earned her PhD in Wireless Communication from the University of Malaga, Spain (2016) and brings 32 years of experience in Electronics and Telecommunication. Her expertise includes digital signal processing (DSP) and wireless communication, with strong experience in teaching, research, and academic leadership.

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. 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.

Dr. Saroj Kumar Singh obtained M.Tech. & Ph.D (Materials Science) from I.I.T., Kharagpur. He retired as Professor in AcSIR, Chief Scientist, and Head of Advanced Materials Technology Department of CSIR- IMMT, Bhubaneswar, in 2016. He has contributed significantly in various fields of Materials Science and Engineering. His contribution towards the development of Advanced Materials through the thermal plasma route from ores and minerals and solid wastes generated from mineral-based industries is particularly praiseworthy. He has developed and designed various plasma reactors indigevously for the above purposes. He completed several projects in Plasma Processing as PI and team members funded by different sponsor agencies such as DST, NALCO, IRELTD, DMSRDE. CSIR, BRNS, NMDC, MoM, MoS, Vedanta Ltd., etc.

Dr Shama Parveen is a Sustainability Consultant at Kognoz Consultancy Pvt. Ltd., Gurugram and Gender Equality Advisor at GreenLungs Earth Foundation, Faridabad. She has received her Ph.D. Degree in Environmental Ethics from Jawaharlal Nehru University in 2019 and is working on her postdoctoral research proposal entitled, “Ecology of Gender”. She was a lecturer at Jawaharlal Nehru University from 2017-2018, NavGurukul Social Welfare Foundation, Delhi from June 2022- December 2022. She is having 15 Years of Experience in the field of teaching, environmental sustainability, counselling and social work. Her Area of Expertise includes: Academic teaching, Environmental consultancy, Personality Development Coach, Curriculum development and Counselling. She is the author of “Ecology as a Political Theory”, “Can there be a long-term solution to ecological crisis?”, “The root cause of Ecological Crisis: Anthropocentrism”.

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.