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. 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.

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.

 I am Dr S Lekha Priyanka, a Doctoral Degree Holder in Agricultural Entomology with 3 Years of Teaching Experience & ASRB NET Qualified.
 I can guide PG & PhD scholars in Agriculture for Thesis Writing & Data Analysis & Viva preparation.
 Though I have completed a doctoral degree in Entomology, I can guide for writing thesis in all disciplines of Agriculture.
 I can also handle Agriculture courses for B. Sc. (Agriculture) Students.
 I have handled all the Under Graduate courses in Agricultural Entomology & Plant Nematology & Plant Pathology.
 I can Teach in English, Tamil & Telugu.

Dr. Devendra Pal Singh is a former Principal Scientist/Professor in the Crop Protection Department of IIWBR Karnal at the University/ institute of ICAR-IIWBR Karnal. He received his Ph.D. Degree in Plant Pathology from GBPUAT&T Pantnagar University in 1985. Then worked as a Principal Scientist in ICAR-Indian Institute of Wheat & Barley Research Institute/University for 28 Years. He is having 37 Years of Experience in the field of Agriculture. His Area of Expertise includes: Agriculture, Agribusiness, Organic Farming, Agronomy, Seeds, Pesticides, Natural Farming, Farm Management, Training, Digital agriculture, cereals, millets, pulses, spices, oilseeds, bast fibres, Research and Extension, Report preparation, Monitoring, Organising conferences, workshops, Editing. He is the author of 118 research papers and 5 books, recipient of FAO/UNDP, IAEA, DBT Grants, 10 awards etc.

Dr. Himadri B. Bohidar is currently associated with National Center for Excellence in Agro- nanotechnology TERI-Deakin Nanobiotechnology Center, Gurgaon, NCR. He received his Ph.D. Degree in Physics from Indian Institute of Technology, Delhi in 1981 and earned Academic Experience of 31 years in Teaching & Research. Then earned Administrative Experience in JNU for 8 Years. He is having 12 Years of Administrative Experience at National Level. His Area of Expertise includes Nanoscience and Nanotechnology, Nano-bio interface science, Soft Matter Science, Polymer Physics, Biophysics. He has 221(h index: 28) Publications in International Journals and author of 2 Books i.e., Polymer Physics and Molecular Biophysics: Cambridge University Press, 2014, UK, and Self-Assembly of Nanoparticles: Wiley- VCH, Berlin, Germany, 2017). He has filed 9 Patents (one granted). He has supervised 23 Ph.D. students in his career till now. Externally funded Projects Handled is of Rs. 207 lakhs (from DST, DBT and SERB).

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. 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. 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. Gargi Dutta is a PhD-trained chemist (Organometallic Chemistry, IIT Kanpur) with expertise in cobaloximes, porphyrin/corrole-based metal–organic frameworks (MOFs), and homogeneous/heterogeneous catalysis, including CO₂ fixation. She has held research roles at Technion (Israel) and IISc Bengaluru, and has served in industry as Research Manager at Sun Pharmaceutical Industries, focusing on analytical method development for APIs. She is also experienced in quality systems and standards through work with BIS and is an Assistant Professor (Senior Grade) with strong teaching and research supervision credentials.

Dr. Garima Singh is a Researcher in Biomaterials and Biopolymers at Jaypee Institute of Information Technology and serves as a Scientific Technical Officer at Reinste Nanoventures. Her work focuses on bacterial cellulose, biopolymers, nanomaterials, and the development of functional biomaterials for advanced applications. She has authored multiple research papers and book chapters, and has presented her research at national and international conferences. Her current interests include projects in advanced coatings, sensor development, and sustainable materials, translating lab innovation into real-world, scalable solutions.

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.