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.

Dr. Siva Mohan Reddy is an Associate Professor in the Department of Chemical Engineering at the Indian Institute of Technology Roorkee.She/he received his/her Ph.D. Degree in Chemical Engineering from Indian Institute of Science in 2013 and earned his/her postdoctoral from York University. Then he is working as a Faculty in Department of Chemical Engg, Indian Institute of Technology Roorkee from 2015 onwards. He/she is having 10 Years of Experience in the field of nanomaterial synthesis, bio- nanomaterials, nano-carbon materials for energy and environment. Her/his Area of Expertise includes: Nano carbon hybrid materials, H2 production from biomass, Biofuels, Bio- nanomaterials, Waste water treatment, Solid and liquid waste management, Nanocatalysts for energy and environment applications. She/he is the author of 50 international peer review journal papers, has ongoing/completed more than 3 crore grant from different funding agencies, and recipient of Young Influential Researcher – Asia 2023 by ACS.

Mrs. Neeru Gupta is an esteemed Assistant Professor in Computer Science at NDIIT, with 10-year academic career intertwined with over three years of industry experience in IT and software development. Pursuing Ph.D. in Computer Science , she is a recognized expert in her field.
Her extensive teaching repertoire includes advanced subjects such as Artificial Intelligence, Machine Learning, Data Science.

She is also a Guest Faculty at Ednet Consultants Pvt Ltd making her a vital asset to the communities.

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. 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. Rishi Kumar Singh is an Associate Professor in the Department of Biosciences at the IMS Ghaziabad (University courses Campus). He received his Ph.D. Degree in Environmental Biotechnology from Central University Assam, Silchar Campus and currently working as an Associate Professor in IMS Ghaziabad for last three Years. He is having more than 16 Years of Experience in the field of research and academics. His Area of Expertise includes: Environmental and Microbial Biotechnology, Industrial and fermentation technology and Plant tissue Culture. He is the author of several research articles and book chapters published in esteemed journals.

Dr. Anupriya Rana was working as “Scientist B” in the department of Patanjali Herbal Research Division, Patanjali Research Foundation, Haridwar, India. She received her Ph.D. Degree in Botany (Nanotechnology) from Gyan Vihar University, Jaipur in 2024. She has been an alumna of University of Delhi, Gargi College, 2016 batch and received an academic silver medal in her Masters in 2018. She had more than 6 years of research (Scientist B, Research Associate and DST Research Fellow) and academic experience. Her specialization is in Plant Nanotechnological research, Project coordination, Agri-Product Marketing, botanical studies, plant morphophysiological stress and mutations, Plant tissue culture and Biosynthesis. She has published 4 original articles and 1 book chapter.

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.

Thomas J. Webster’s (H index: 129; Google Scholar) degrees are in chemical engineering from the University of Pittsburgh (B.S., 1995; USA) and in biomedical engineering from RPI (Ph.D., 2000; USA). He has served as a professor at Purdue (2000-2005), Brown (2005-2012), and Northeastern (2012-2021; serving as Chemical Engineering Department Chair from 2012 – 2019) Universities and has formed over a dozen companies who have numerous FDA approved medical products currently improving human health in over 20,000 patients. His technology is also being used in commercial products to improve sustainability and renewable energy. He is currently helping those companies and serves as a professor at Brown University, Saveetha University, Vellore Institute of Technology, UFPI, and others. Dr. Webster has numerous awards including: 2020, World Top 2% Scientist by Citations (PLOS); 2020, SCOPUS Highly Cited Research (Top 1% Materials Science and Mixed Fields); 2021, Clarivate Top 0.1% Most Influential Researchers (Pharmacology and Toxicology); 2022, Best Materials Science Scientist by Citations (Research.com); and is a fellow of over 8 societies. Prof. Webster and his team have over 1,350 publications with over 55,000 citations. He is a recent Nobel Prize in Chemistry Nominee.

Mr. Sourav Mohanto is currently working as a Project Associate-II under Science and Engineering Research Board (SERB), Department of Science & Technology (DST), Govt. of India in the Department of Pharmaceutics at Yenepoya (Deemed to be University), Karnataka, India. He has previous working experience as academician for 3.5 Years, and also worked as Patent Research Analyst for a year. His expertise includes Drug delivery science, Materials Science, Biomaterials development and characterizations, Molecular docking, etc. He is the authors of 54 publications, 07 books, 10 Intellectual Property Rights, recipient of Young Researcher Award-2023, Best Researcher Award-2024, Best Poster Presentation award, Best Oral presentation award, etc., by various national and international organizations. He has guided various UG, and PG students at the university level and was nominated as an organizing committee member for multiple conference bodies and professional organizations (i.e., APTI, CRC-IC, APR, etc.) across the globe. Mr. Sourav has also been associated with various journals as a reviewer, editorial board member, and actively participated in International and National conferences across the globe.

Dr. Mohd Zamir Pakhuruddin is currently the Director at Institute of Nano Optoelectronics Research and Technology (IDNOR) and a lecturer at School of Physics, Universiti Sains Malaysia (USM), Penang, Malaysia. He spent about 8 years in industry as a Senior Engineer of Photolithography and Sputtering (R&D) in SilTerra and Fuji Electric, Kulim Hi-Tech Park respectively. He received his PhD in Photovoltaics Engineering at University of New South Wales(UNSW), Australia. His expertise is in Photovoltaic materials and devices (PVMD). His current research includes black silicon, perovskite and organic solar cells for conventional, solar windows and indoorphotovoltaic applications. To date, he has published more than 40 research papers in the field of photovoltaic. He has been a keynote speaker and an invited speaker in international conferences, seminars and trainings on topics related to the physics of solar cells, optics and light-trapping, photovoltaic technologies andphotovoltaic manufacturing. He is a Professional Technologist (Ts.) in Green Technology, which is awarded by Malaysia Board of Technologists (MBOT).

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.