He received his Ph.D Degree in Carbon based Nanomaterials from IIT, Bombay in 1997 and earned his postdoctoral from University of Namur (Belgium) 1997-1998 and Nagoya University (JAPAN) in 1998-1999 under JSPS Program. Then joined as a Research Scientist in DMSRDE, DRDO, Kanpur in 1999. He is having 28 Years of Experience in the field of Carbon based Nanomaterials. His Area of Expertise includes: Synthesis and Application of Carbon based Nanomaterials. He is the author of 78 peer reviewed journal papers, 7 book chapters and have 19 granted patents. He is recipient of DRDO Young Scientist Award 2001 and B. D. Bangur Award 2019 from Indian Carbon Society.

Dr. Shiv Kumar Verma is a Professor in the Department of Computer Science and Applications at Sharda University. He earned his PhD in Mathematical Computing from IIT Roorkee (2014) and completed his postgraduate studies in Computer Applications from IIT Roorkee. With 25 years of experience across mathematics and computer science, his expertise includes machine learning, medical imaging, and mathematical computing, with strong experience in teaching, research, and academic leadership.

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.

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. Nabeel Ahmad is Dean at School of Allied Sciences and Professor in the Department of Biotechnology, Dev Bhoomi Uttarakhand University, Dehradun, Uttarakhand, India. Over 14 year of teaching, research and administrative experience. He has published several research papers in National and International peer reviewed journals. He also served as Editor in three books on nanobiotechnology namely 3 D Printing Technology in Nanomedicine, Intelligent Nanomaterials for Drug Delivery Applications and Emerging Nanotechnologies for Medical Applications published by Elsevier Pennsylvania USA. He also serving as eminent member of Editorial Board of Journal of International repute. In addition to that, seven patents are also in his credit on nanobiotechnology and discussion is going on to transfer the technology to three organizations to commercialize the same. The same has already been highlighted in the National news papers. Recipient of prestigious fellowship including the Teachers Associateship for Research Excellence (TARE) fellowship under Science and Engineering Research Board (SERB) Department of Science & Technology (DST) New Delhi. He is the Fellow of Linnean Society (FLS) London. His areas of research are nanobiotechnology, nanosensors, and bioprocess engineering.

Dr. Debashree De is a seasoned scientific writer (Ex-novartis) with 15 years of research experience. She received her Ph.D. Degree in Structural Biology and Biochemistry from CSIR-Indian Institute of Chemical Biology in 2012 and earned her postdoctoral from Centro di Rierca E. Menni, Fondazione Poliambulanza- Istituto Ospedaliero, Brescia, Italy. She worked as a Scientific Research Writer and Lead Development Manager for BrainAura, a startup company based out of India and the UK and also as a senior scientific writer in novartis. She has 15 Years of Experience in the field of peptide biochemistry. Her area of expertise includes: Structural biology and biochemistry, Scientific writing, Real World Evidence. She is the author of 14 publications (manuscripts, reviews, book chapters) with one of her review article on her research being the focus of a news article . She is also the member of prestigious peptide societies, reviewer of journal PlosOne as well as the recipient of CSIR and ICMR senior fellowships. She has successfully optimized methodologies for the study of amyloid beta aggregate destabilization on Surface Plasmon Resonance (published).

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.

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. Subarna Thakur is an Assistant Professor in the Department of Bioinformatics at the University of North Bengal. She received her Ph.D. Degree in Botany from the University of North Bengal in 2014 and then worked as a Post Doc in various institutes like JNU, Bose Institute and IRHS, Angers, France for 4 Years. She is having more than 10 Years of Experience in the field of Computational Biology and Genomics. Her Area of Expertise includes NGS Data analysis, Transcriptomics, Network Biology. She is the author of 10 original research articles in high-impact peer-reviewed journals.

Ms. Aaysha Gupta is a Research Scholar in the Biotechnology Department at Jaypee Institute of Information Technology. She is pursuing a PhD in Medical Biotechnology, with a focus on exploring the anti-aging potential of Indian medicinal plants. Ms. Gupta has previously held the positions of Editor and Event Organizer at Microbioz Journals for two years. She brings over three years of dedicated research experience in the field of Medical Biotechnology, specializing in muscle aging.

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.

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).