Nano Science & Technology Consortium
Empowering Innovation Across Disciplines
A Deep Science Learning Organisation
Rated Excellent
250+ Courses
30,000+ Learners
95+ Countries
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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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Associate Professor
Compucom Institute of Technology and Management (CITM), Jaipur, Rajasthan
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.
Mr. Keshan is an AI/ML researcher, educator, and technologist with an M.Tech in AI & ML and 10+ years of teaching experience. His expertise spans Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, Agentic AI, and Quantum Computing. Over the past three years, he has actively mentored students and professionals across India, the UK, Belgium, and the USA, delivering application-driven courses focused on conceptual clarity and hands-on learning. He also leads free AI education initiatives for underprivileged girls globally, using technology to create meaningful social 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. 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.
Dr. Ali H. Wheeb is a Professor in the Computer Engineering College of Engineering at the University of Baghdad. He earned his PhD in Electrical and Electronic Engineering (2024) from UKM University and brings 10 years of experience in computer engineering along with 16 years in academia. His expertise spans computer engineering and networking, UAV systems, UAV routing protocols, and machine learning, including reinforcement learning. He has published widely and has received research grants and awards.
Dr. Mahima Sharma is an Associate Professor in the Science and Humanities Department (Physics) of Compucom Institute of Technology and Management (CITM), Jaipur, Rajasthan. She received her Ph.D. Degree in Nanoscience and Nanotechnology from Amity Institute of Nanotechnology, Amity University Uttar Pradesh, Noida in 2020. Then worked as a Lecturer in Government Engineering College, Jhalawar Rajasthan for 3 Years. she is having 7 Years of Experience in the field of physics. Her Area of Expertise includes: Nanotechnology, Water Remediation, Nanocomposites, Functional Nanomaterials, Synthesis of Nanomaterials, Characterization of Nanomaterials, Photocatalysis, Adsorption.
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.
Ms. Neha Sawal is a Legal Analyst in Apex Fund Services Ltd. Company/Organization located at Bangalore. She received her L.L.B. Degree from Mody University, Laxmangarh in 2016 and earned her postdoctoral in Business law from university of Indian Law, Pune in 2021. Then worked as an Assistant Professor –Tax Law in Christ University Bangalore Institute/University. She has 2.5 Years of Experience in the field of Corporate Law. Her Area of Expertise includes: Business Law, Startup incorporation, constitutional law, Legal studies, Human rights law, Startup funding and legal procedures, family laws, criminal and civil law.
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Dr. M. Prasad is a Professor in the Department of Computer Science & Engineering at Shri Vishnu Engineering College for Women (Autonomous), Bhimavaram, Andhra Pradesh. With 18+ years of teaching experience, including two years of international teaching in Ethiopia, he has guided 35+ UG/PG projects and currently supervises research scholars. A Google Android Educator, he conducts training on Google products across India and has mentored 150+ Google Certified Student Experts. He has published and presented 45+ research papers, organized 20+ academic events, and is a professional member of bodies including IEEE, ISTE, and CSI. His interests include ML, data mining, cloud, Android (Kotlin), MANETs, security, IoT, and visual analytics.
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.



