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.

Mrs. Neeru Gupta is an esteemed Assistant Professor in Computer Science at NDIIT, with 10-year academic career intertwined with over three years of industry experience in IT and software development. Pursuing Ph.D. in Computer Science , she is a recognized expert in her field.
Her extensive teaching repertoire includes advanced subjects such as Artificial Intelligence, Machine Learning, Data Science.

She is also a Guest Faculty at Ednet Consultants Pvt Ltd making her a vital asset to the communities.

Dr. Siva Mohan Reddy is an Associate Professor in the Department of Chemical Engineering at the Indian Institute of Technology Roorkee.She/he received his/her Ph.D. Degree in Chemical Engineering from Indian Institute of Science in 2013 and earned his/her postdoctoral from York University. Then he is working as a Faculty in Department of Chemical Engg, Indian Institute of Technology Roorkee from 2015 onwards. He/she is having 10 Years of Experience in the field of nanomaterial synthesis, bio- nanomaterials, nano-carbon materials for energy and environment. Her/his Area of Expertise includes: Nano carbon hybrid materials, H2 production from biomass, Biofuels, Bio- nanomaterials, Waste water treatment, Solid and liquid waste management, Nanocatalysts for energy and environment applications. She/he is the author of 50 international peer review journal papers, has ongoing/completed more than 3 crore grant from different funding agencies, and recipient of Young Influential Researcher – Asia 2023 by ACS.

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.

Dr. Kusuma Jagadish is a Postdoctoral Researcher in the Department of Materials Engineering at the Indian Institute of Science (IISc), Bengaluru. She earned her PhD in Nanotechnology (2020) from Jain (Deemed-to-be) University and has 9 years of experience in materials science and nanotechnology. Her expertise includes materials synthesis for energy applications, particularly photovoltaics and third-generation solar cells. She has published 21 peer-reviewed articles and is a recipient of the WISE–KIRAN PDF Award (2024).

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.

Dr. Pooja Devi is a Principal Scientist at CSIR-Central Scientific Instruments Organisation, Chandigarh. She is affiliated with the Materials Science and Sensor Application Department of CSIR-CSIO. She received her Ph.D. Degree in Engineering (Materials) from the Academy of Scientific and Industrial Research, New Delhi in 2018. She has been working as a scientist at CSIR-CSIO since 2010. She is having 12 years of experience in the field of materials. Her major research interest includes materials design for green hydrogen production, water/air pollutants degradation, and water pollutants monitoring, materials engineering, techniques, and associated affordable and portable devices development for water pollutants detection, degradation, green hydrogen production, air purification, etc. She has filed 03 patents, 02 design registration, 01 copyright, transferred 02 technology, published 84 international high-impact publications, edited 07 books, 22 book chapters, 90 conference papers, and delivered 60 invited/oral talks. She has received funding/fellowships from DST, SERB, CSIR, ACS, IUSSTF, etc., for various projects. She is also a recipient of several prestigious awards and fellowships including NASI Young Scientist Platinum Jubilee Award (2021), IEI Young Engineer Award, INAE Young Engineer Award (2020), SERB Women Excellence Award (2020), Young Associateship of Indian Academy of Science (2019-22), Haryana Yuva Vigyan Ratan Award (2019), Young Scientist Award (2019) from Indian Science Congress Association, Young Scientist Award (2019) from International Society for Energy, Environment and Sustainability, IUSSTF Water Advanced Research and Innovation (WARI) fellowship (2017), Canadian Commonwealth Fellowship (2010), GC Jain Memorial Award (2020) by MRSI, PITTCON- Travel Grant (2018) from American Chemical Society, SERB International Travel grant, etc.

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.

Prof. (Dr.) Kamini Chauhan Tanwar is a Professor and Head in Behavioral and Allied Sciences at the Amity Institute of Clinical Psychology, Amity University, Haryana. With 20+ years of academic leadership, she has served as Associate Dean at K.R. Mangalam University and Officiating Dean at SGT University, where she contributed to NEP 2020 implementation, PhD supervision, and new program development. She holds a PhD in Child Psychology from Aligarh Muslim University, and her work spans clinical psychology and behavioral sciences, including the development of psychometric tools. She has 29+ publications, has presented research globally, and received the Dr. Sarvepalli Radhakrishnan Best Teacher Award (2021).

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A motivated, detail-oriented Data Science enthusiast with hands-on experience building and deploying machine learning and NLP solutions. Proficient in Python, data preprocessing, and model optimization, with a focus on turning complex data into actionable insights. Experienced in creating interactive Streamlit dashboards to showcase AI applications clearly and effectively. Currently seeking an internship or entry-level role in Data Science or AI Engineering to contribute analytical thinking, creative problem-solving, and strong collaboration skills in an innovation-driven team.