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. 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”.

Partha Majumdar is the Managing Director of Majumdar Consultancy Pvt Ltd, a distinguished career that spans various countries and industries. With a keen eye for pattern recognition, he has overseen the development of over 10 Enterprise Class products deployed across 57 countries. He has collaborated closely with key ministries in 8 nations and more than 20 enterprises, leaving a significant mark at organizations such as Siemens, Amdocs, NIIT, Mobily, and JP Morgan Chase & Co. notably, he not only led system development but also managed highly profitable business units. Partha’s entrepreneurial spirit is evident as he successfully established three companies by 2023, operating in India, Dubai, and Saudi Arabia. His expertise extends to designing OLTP systems for diverse sectors, including Telcos, Hospitals, Tea Gardens, Factories, Travel Houses, and even Cricket tournaments. Since 2012, Partha has been deeply immersed in Data Products, Machine Learning, and Deep Learning, consistently contributing his pattern-finding skills to the development of Rapid Development Tools. Partha’s unwavering commitment to lifelong learning is underscored by his educational journey, which began with a Mathematics degree and culminated in a Doctorate in Business Administration from the Swiss School of Business and Management in Geneva. Along this remarkable path, he earned master’s degrees in Telecommunications and Computer Security, executive MBAs in Information Systems and Business Analytics, and advanced certificates in AI/ML/DL, Cyber Security, and Computational Data Sciences from esteemed institutions, including Manipal Academy of Higher Education, IIT Kanpur, and IISc Bengaluru.

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.

Mr. Devinder Singh Anand is an Assistant Professor in the UILS Department at the Chandigarh University. He received his LL.M Degree from Panjab University in 2013 and submitted his Ph.D. Thesis in May 2024. He worked as a Lecturer in Various Companies/MNCs Since 2013. He has 11 Years of Experience in the field of Law. His Area of Expertise includes Criminal Law and Constitutional Law. He published more than 7 Research papers in renowned peer-reviewed journals and various papers presented at the National and International Conferences.

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. 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.

Sneh Lata is a Senior Research Fellow at the CSIR-Indian Institute of Toxicology Research, specialising in developing advanced analytical methods for environmental and biological samples. She holds a Master of Science in Forensic Science from the University of Delhi. She has extensive experience utilising sophisticated analytical instruments such as LC-MS/MS, GC-MS/MS, and ICP-OES. Her research focuses on wastewater remediation, heavy metals, and pesticide analysis, with a strong background in metabolomics and structure elucidation of plant molecules. She is a member of the Society of Toxicology (SOT) and the American Chemical Society (ACS). She has published several articles while actively participating in international conferences, sharing her nanotechnology and environmental science expertise.

Dr. Chitra Dhawale is a Professor in the Science and Technology Department of Datta Meghe Institute of Education and Research (Deemed to be University). She received her Ph.D. Degree in Computer Science from S.G.B.Amravati University in 2009. She is having 25+ years of teaching and research experience in computer science. Her area of Expertise includes: Data Science, Machine Learning, Deep Learning, Python Programming, R Programming, Tableau. She/he is the author of 02 books, 08 book chapters and 78 research papers.

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.V. Ullas is an Assistant Professor in the Nanotechnology program at the Centre for Advanced Studies (CAS) AKTU Lucknow. He received his Ph.D.Degree in Applied Chemistry from Delhi Technological University(DTU) in 2018. Then worked as an Assistant Professor in Plastics Engineering at CIPET Lucknow from Aug 2017-2019. He later joined Nanotechnology program at CAS AKTU from September 2019. He is having 07 Years of Experience in the field of teaching. His area of expertise includes: polymer composites, processing, polymer testing, nanotechnology, etc. He is the author of 12 research articles and 16 conference proceedings in journals of repute and reviewer of several international journals.

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.