Sneha Dattatreya | Department of Computer Science and Applications

Bio

I am an academic professional and researcher with a background in Artificial Intelligence, Machine Learning, and advanced sensing technologies. I have just bind up doctoral research work in soil nutrient (NPK) sensing and predictive modeling, with a focus on integrating machine learning, IoT, and embedded systems for smart agriculture applications. I have presented research at national and international conferences and received recognition for academic presentations and technical contributions. Research interests include AI for climate change, precision agriculture, sensor-based systems, and data-driven environmental monitoring.

Academic Degrees

Doctor of Philosophy (PhD) – The LNM Institute of Information Technology (Thesis Submitted)
Master of Technology (M.Tech) – 2016Rajasthan Technical University (RTU), Kota
Bachelor of Technology (B.Tech) – 2013Rajasthan Technical University (RTU), Kota

Academic Appointments

December 2025 to Present: Assistant Professor, Department of Computer Science and Application, Vivekananda Global University, Jaipur. Actively involved in teaching undergraduate courses such as
Computer Networks,
Machine Learning,
AI Models in Climate Change, and
Leadership Skills in Project Management
and experienced in developing practical learning modules.

Professional Experience

May 2020 – Aug 2020: Worked as Content Writer in Sample Assignments.
Jan 2017 – Jul 2017: Worked as a Project Engineer in a UNILEVER sponsored project “Fabrication of Slippery Surfaces” at IIT Kanpur.
Mar 2016 – Dec 2016: Worked as a Project Engineer in a BHEL sponsored project “Feasibility Study on the Development of Hydrophobic Coating Materials for Minimization of Steam Turbine Blade Erosion Due to Droplet Impact” at IIT Kanpur.
Jan 2015 – Jul 2015: Fabricated superhydrophobic and superoleophobic textiles as M. Tech Thesis student in the Department of Physics, IIT Kanpur.
Aug 2020 – Dec 2020: Taught Physics in Digiversal online Classes.
Sep 2018 – Dec 2019: Worked as an Assistant Professor in Bal Krishna Institute of Technology, Kota.
Nov 2015 – Feb 2016: Taught Physics and Chemistry in Career Point Limited to IIT-JEE aspirants

Courses Taught

Research Interests

Sensing, Machine Learning, Superhydrophobic surfaces, Superoleophobic surfaces, Coating

Publications

Dattatreya, S., Khurana, A., Jena, K., & Chatterjee, G. (2025). Embedded microsystem for soil nutrient estimation using machine learning models. Microsystem Technologies, 1-16.
Dattatreya, S., Khan, A. N., Jena, K., & Chatterjee, G. (2023). Conventional to Modern Methods of Soil NPK Sensing: A Review. IEEE Sensors Journal.
Khurana, A., Dattatreya, S., & Chatterjee, G. (2026). Hybrid Machine Learning and EKF based Pipeline for Lithium Ion Battery SoH Estimation. Part A: Journal of Power and Energy (Accepted)
Roy, P. K., Ujjain, S. K., Dattatreya, S., Kumar, S., Pant, R., & Khare, K. (2019). Mechanically tunable single-component soft polydimethylsiloxane (PDMS)-based robust and sticky superhydrophobic surfaces. Applied Physics A, 125, 1-10.

Journal Articles

Dattatreya, S., Khurana, A., Jena, K., & Chatterjee, G. (2025). Embedded microsystem for soil nutrient estimation using machine learning models. Microsystem Technologies, 1-16.
Dattatreya, S., Khan, A. N., Jena, K., & Chatterjee, G. (2023). Conventional to Modern Methods of Soil NPK Sensing: A Review. IEEE Sensors Journal.
Khurana, A., Dattatreya, S., & Chatterjee, G. (2026). Hybrid Machine Learning and EKF based Pipeline for Lithium Ion Battery SoH Estimation. Part A: Journal of Power and Energy (Accepted)
Roy, P. K., Ujjain, S. K., Dattatreya, S., Kumar, S., Pant, R., & Khare, K. (2019). Mechanically tunable single-component soft polydimethylsiloxane (PDMS)-based robust and sticky superhydrophobic surfaces. Applied Physics A, 125, 1-10.

Book Chapters

Pant, R., Dattatreya, S., Barman, J., & Khare, K. (2018). pH Responsive Reversibly Tunable Wetting Surfaces. Stimuli-Responsive Dewetting/Wetting Smart Surfaces and Interfaces, 57-80.

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Quick Info

🏛️ Department

Department of Computer Science and Applications

🎓 Qualification

Doctor of Philosophy (PhD) – The LNM Institute of Information Technology (Thesis Submitted), Master of Technology (M.Tech) – 2016Rajasthan Technical University (RTU), Bachelor of Technology (B.Tech) – 2013Rajasthan Technical University (RTU)

⏱️ Experience

13 Appointments

🔬 Specialization

Assistant Professor, Sensing, Machine Learning, Superhydrophobic surfaces, Superoleophobic surfaces, Coating

✉️ Email

Sneha.dattatreya@vgu.ac.in

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