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.

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. Indra Neel Pulidindi works as an assistant professor at Saveetha Medical College and Hospital (SMCH) & Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, India. He serves as a Scientific Consultant at JSCIAR, India. He has also been rendering his services as a Visiting Professor at Mahatma Gandhi University, Kottayam, Kerala, in the research group of Professor Sabu Thomas. His specialisation lies in Composites (CFRPs), Biofuels and Biochemicals, Catalysis, Fuel Cells, Carbon materials and Heteropoly Acids. He has published 79 research papers, 8 books, 14 book chapters and secured a patent (6 patents filed). He has guided several PhD, Master’s and Undergraduate students. Given his vast teaching and research experience, Dr. Neel looks forward to adding value to esteemed institution, namely, SMCH and SIMATS where he is currently employed.

Dr V. Gayathri is a Senior Scientist in the KSCSTE- Jawaharlal Nehru Tropical Botanic Garden and Research Institute (JNTBGRI), Department of Phyto-chemistry and Phyto-pharmacology Division at the Kerala State Council for Science Technology and Environment (KSCSTE), Govt. of Kerala. She received her Ph.D. Degree in Biotechnology from University of Kerala in 2006 and earned her postdoctoral from Sree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST), Trivandrum, Govt. of India. Then working as a Senior Scientist in KSCSTE-Jawaharlal Nehru Tropical Botanic Garden and Research Institute (JNTBGRI)Institute/University for 5 Years. She is having 15 Years of Experience in the field of Pharmacology and Material Science. Her Area of Expertise includes: Plant Secondary metabolites to nanomaterials, biomaterials, Toxicology. She is the author of more and 20 Peer reviewed journals and recipient of any National funded Grants, 3 awards etc.

Mr. Keshan is an AI/ML researcher, educator, and technologist with a strong academic foundation (M.Tech. in AI & ML) and over a decade of teaching experience. His expertise lies in Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, Agentic AI, and Quantum Computing. He has been actively teaching and mentoring in AI-related fields for the past three years, with experience spanning academic institutions and industry professionals across India, UK, Belgium, and USA.

He has designed and delivered structured, application-driven AI and ML courses, focusing on conceptual clarity, hands-on learning, and real-world problem-solving. His teaching philosophy emphasizes bridging the gap between academic fundamentals and industry applications, empowering learners to apply AI practically in domains such as education, healthcare, sustainability, and automation.

Committed to making technology accessible, he actively develops free AI education programs for underprivileged girls worldwide. With a background that combines technical expertise, research acumen, and global teaching experience, he is passionate about leveraging technology to drive meaningful societal impact.

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.

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. 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.

Mr. Karan Singh Choudhary is the Founder of Unity Law Attorneys, a law firm based in Delhi. Mr. Singh is also a Distinguished Member – International Council of Jurists (London). Mr. Singh has an Experience of more than 5 years in the field of law. His Area of Expertise includes: Commercial law, information technology, consumer and writ cases, arbitrations, etc. He has secured notable orders such as protected the houses of many residents from being demolished in South Delhi by securing stay order from Delhi High Court.

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 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.