Nano Science & Technology Consortium
Empowering Innovation Across Disciplines
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Nano Science & Technology Consortium
Empowering Innovation Across Disciplines
Rated Excellent
250+ Courses
30,000+ Learners
95+ Countries
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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.
Prakriti Sharma is an AI mentor, engineer, and Founder of Chaifluence, where she applies AI to build innovative and authentic influencer marketing strategies. Currently an AI Engineer at Tata Consultancy Services, she collaborates with Google’s Business Unit to develop generative AI models focused on responsible, high-impact solutions. A strong advocate for AI ethics, she also holds certifications including Google Cloud Professional Engineer. A Delhi University computer science graduate and former Robotics Club President, she mentors aspiring AI professionals and organizations adopting AI responsibly.
I am working as a Scientist at D-Nome Pvt.Ltd., which is incubated at university of Hyderabad.
I received my bachelor’s Degree in Biochemistry & Chemistry from University of Kashmir in 2018 and earned my master’s in Biochemistry from the same university. Then worked as project associate in Molecular Biology lab at Indian Institute of science Bangalore for 4 Years. I am having 4 Years of Experience in the field of Molecular Biology. My area of Expertise include Molecular Biology and Genetic Engineering.
Dr. Kumar Ajay has been a Professor and Director in the Institute of Applied Sciences at the Mangalayatan University, Aligarh. He received his Ph.D. Degree in Life Sciences from Jawaharlal Nehru University, New Delhi in 1997 and earned his postdoctoral from James Graham Brown Cancer Center, university of Louisville (UofL), KY, USA, Then worked as Asst. Professor in Lovely Professional University, Punjab, Dean Academics at Uttaranchal College of Science and technology, Dehradun, Director (Operation) at Dolphin College of Science and Agriculture, Punjab He has ten years working experience in food processing and pharmaceutical industries. Prof. Kumar is having 25 Years of Experience in the field of Alternative Medicines and Biotechnology. His Area of Expertise include Plant Biotechnology, Tissue Culture, Hydroponics, Mushroom Production, Herbal Medicines and Food Processing. He is consultant to American companies. He is the author of three books, 22 research papers, five patents, several invited talks and Keynote speaker in several conferences and recipient of Leading Scientist of the year Award, Eminent Scientist of the year Award, Environmentalist of the Year Award, Pea awards and Outstanding Professor of Technological Innovation Award.
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. Ramesh Kumar Singh is a retired Professor in the Department of Genetics and Plant Breeding at the Banaras Hindu University of Varanasi. He received his Ph.D. Degree in Genetics and Plant Breeding from Banaras Hindu University University in 1981. Then worked as a Professor in Genetics and Plant Breeding, Banaras Hindu University for 15 Years. He is having 36 Years of Experience in the field of Microbial Genetics. His area of expertise includes: Cell Biology, Plant-Microbe Interaction and Bacterial Genetics. He is recipient of many project grants from UGC, CSIR, Department of Biotechnology and Department of Science and Technology, guided 15 Ph.D students, published 45 research papers awarded with Biotechnology National Award.
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.
Dr. Debika Bhattacharyya is a Professor in the CSE Department of IEM at the University of Engineering & Management. She received her Ph.D. in Engineering from Jadavpur University in 2007 and then worked as a Professor in CSE Institute for 22 Years. She is having 6 Years of Experience in the field of Data Science.
Her Area of Expertise includes: Data Science, Machine Learning, Python, Statistics for Data Science. She is the recipient of “Rashtriya Gaurav Award & Certificate of Excellence by India International Friendship Society”, New Delhi ,2019, Recipient of “Distinguished leader” in the engineering discipline by Venus International Foundations in 2018, and awarded as the “Best Teacher” in 2014 and in 2018 by Institute of Engineering & Management.
Dr. Atul Vashist is an Associate Professor in the Department of Biotechnology, School of Engineering and Allied Sciences (SEAS), Bennett University (Times of India Group), Greater Noida, India. He is the former Principal Scientist in the Department of Infection and Immunology, Translational Health Science and Technology Institute (THSTI), Faridabad, Haryana, India. He received his Ph.D. Degree in Biotechnology from National JALMA Institute for Leprosy and Other Mycobacterial Diseases, Agra and earned his postdoctoral from All India Institute of Medical Sciences, New Delhi and Cornell University, Ithaca, USA. He has more than 15 years of research and teaching experience for conducting laboratory sessions in Microbial Genetics, Molecular Biology and Recombinant DNA Technology. His Area of Expertise include infectious diseases, molecular biology, protein chemistry, mycobacteriology, nuclear medicine, hydrogel technology. To date, he is the author of 20 research articles published in peer reviewed international Journals and authored Five Book Chapters etc.
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. Darshan Panda is a Scientist in the Department of Crop Physiology & Biochemistry at the ICAR-National Rice Research Institute, Bidyadharpur, Cuttack. He received his Ph.D. Degree in Biotechnology from Ravenshaw University in 2022. He is working currently as a Scientist at ICAR-NRRI, Cuttack. He has published his research findings through the publication of over 50 articles in esteemed academic international journals. He has 10 years of experience in the fields of plant physiology, molecular biology and biotechnology. His area of expertise includes crop photobiology, physiology, biochemistry, molecular biology, tissue culture and biotechnology. He is the author of two textbooks in biotechnology and microbiology.
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.



