Dr Shiv Singh is a Scientist and Assistant Professor at the Council of Scientific & Industrial Research-Advanced Materials and Process Research Institute. He received his Ph.D. Degree in Chemical Engineering from the Indian Institute of Technology Kanpur, Kanpur in 2015 and earned his postdoctoral from the Korea Institute of Materials Science, South Korea. Then worked as a DST INSPIRE Faculty in CSIR-Indian Institute of Toxicology Research, Lucknow for 3 Years. He is having ~8 Years of Experience in the field of Nanomaterials & Electrochemistry. His Area of Expertise includes: Microbial fuel cell, Microbial electrolysis cell, CO 2 reduction, Electrochemical sensors etc. He is the author of approximately 50 prestigious journals with an average Impact factor ~9, Also recipient of many Grants, awards etc from International and National authorities (DST, CSIR, European Union etc).

Dr. Sujeet Pratap Singh is Assistant Professor in the Biotechnology Department of Amity University, Lucknow. He received his M.Tech. Degree in Biochemical Engineering from IIT Kharagpur in 2006 and earned his Ph.D from Amity University, Uttar Pradesh. He is having 18 Years of Experience in the field of Biotechnology. His Area of Expertise includes Industrial Biotechnology, Fermentation Technology, Bioprocess Technology etc. He is the author of various research and review papers and a member of the editorial boards of different scientific journals.

Dr. R.R. Karthieka currently serves as a Research Scientist at Silveray Ltd., United Kingdom. She earned her Ph.D. in Physics, specializing in Nanoscience and Nanotechnology, from the University of Madras in 2023. With eight years of research experience, her expertise is centered on the preparation, characterization, and fabrication of low-dose X ray detectors.Her research focuses on the development of inorganic nanostructured materials with varied morphologies, including perovskite-based semiconductors, polymer-based nanocomposites,biomaterials, and metal oxide nanomaterials.Dr. Karthieka got hands on experience in the synthesis of nanomaterials through various methods and trained many post graduate students during her doctorate degree. Additionally, her industrial expertise in thin-film fabrication for organic photovoltaic (OPV) and organic photodetector (OPD) devices development, experience on various large area coating techniques, translating theoretical knowledge into industrial application.

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.

Mrs. Gurpreet Kaur holds an MCA degree from Punjab Technical University (2010) and has over 7 years of IT industry experience as a Senior Software Developer in various companies. Her expertise lies in front-end technologies, data structures, and algorithms (DSA).

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.

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.

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Dr. Debika Bhattacharyya is a Professor in the CSE Department of IEM at the University of Engineering & Management. She received her Ph.D. in Engineering from Jadavpur University in 2007 and then worked as a Professor in CSE Institute for 22 Years. She is having 6 Years of Experience in the field of Data Science.
Her Area of Expertise includes: Data Science, Machine Learning, Python, Statistics for Data Science. She is the recipient of “Rashtriya Gaurav Award & Certificate of Excellence by India International Friendship Society”, New Delhi ,2019, Recipient of “Distinguished leader” in the engineering discipline by Venus International Foundations in 2018, and awarded as the “Best Teacher” in 2014 and in 2018 by Institute of Engineering & Management.

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. 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).

Mr. DEBASHIS BASU, the IT Professional Mentor. With over 32 years of dedicated service in the IT industry, He brings a wealth of expertise to the forefront as a seasoned professional. His extensive background in Database Development and Support, complemented by his proficiency in programming languages such as C, C++, JavaScript, and Robotic Process Automation (RPA), positions him as a versatile and knowledgeable mentor.His commitment lies in sharing invaluable insights with the next generation of IT enthusiasts, offering guidance that spans multiple programming languages and cutting-edge RPA technologies.