Foundation to Fly, Metaverse to Thrive

Education:

• Ph.D. in Computer Science and Application GLA University, Mathura, Area of research – Machine Learning, Time series Forecasting, Transformers, Completed in Feb 2025.
• 3 Year PGPM -Equivalent to MBA (Specialization – Marketing & IT) – IMT CDL, Ghaziabad, Completed in May 2013, Marks Obtained - 70%
• Master of Computer Application (MCA) - GLAITM, Mathura, UP Technical University, Completed in Jun 2003, Marks Obtained- 82.5%
• Bachelor of Science (Physics Hons.) – LS College, Muzaffarpur, BRA Bihar University, Completed in Mar 2000, Marks Obtained – 74%

Research:

Publications

• Prakash, S., Jalal, A.S. & Pathak, P. TiDEFormer—a heterogenous stacking ensemble approach for time series forecasting of COVID-19 prevalence. Int. J. Mach. Learn. & Cyber. (2024). https://doi.org/10.1007/s13042-024-02417-8 [SCI, Impact Factor - 4.37]
• Prakash, S., Singh Jalal, A. ., & Pathak, P. . (2024). Forecasting COVID-19 Pandemic – A scientometric Review of Methodologies Based on Mathematics, Statistics, and Machine Learning. Data and Metadata, 3, .404. https://doi.org/10.56294/dm2024.404 [SCOPUS, Impact Factor - 4.05]
• Prakash, S., Pathak, P., & Jalal, A. S. (2023, August). A Robust Machine Learning Model for Prediction of COVID-19 Pandemic with Climate & Air Quality Parameters. Eur. Chem. Bull, 12(Special issue 8),8030-8046.
• Prakash, S., Jalal, A.S. & Pathak, P. Infectious Disease Time Series Modelling Using Transformer Self-Attention Based Network. Engineering Research Express (2024). [Scopus, Impact Factor – 1.5]
• Prakash, S., Pathak, P., & Jalal, A. S. (2022, December). Predicting COVID-19 fourth wave incidence in India using machine learning algorithms and SEIR model. In 2022 IEEE 9th Uttar Pradesh section international conference on electrical, electronics and computer engineering (UPCON) (pp. 1-6). IEEE.
• Prakash, S., Jalal, A. S., & Pathak, P. (2023, March). Forecasting covid-19 pandemic using prophet, lstm, hybrid gru-lstm, cnn-lstm, bi-lstm and stacked-lstm for india. In 2023 6th International Conference on Information Systems and Computer Networks (ISCON) (pp. 1-6). IEEE.

PATENTS

• A wearable device for detecting and classifying a user’s emotional state in real time - Application No: 202511085792| Filed: Sep 2025 | Published: Sep 2025
• Sewage cleaning robot - Application No: 473218-001| Filed: Sep 2025 | Granted: Sep 2025

GRANT AND FUNDING:

• Awarded INR 3.0 Lacs Seed Grant by URIC, GD Goenka University, for Advancing Multidisciplinary Innovation Through Transformers Deep Neural Networks based Algorithm

BOOK CHAPTERS:

• Gautam, K., Reshi, D., Prakash, S., (2025). Application of active nanoparticles and nanomaterials as drug delivery therapeutics in cancer. In: Raghav, A., (eds) Synthesis and Characterization Methods of Nanomaterials based Drug Delivery as Cancer Nanotheranostics,. Springer Nature
• Research Interests – Machine Learning, Deep Learning
• Conferences
• [1] Prakash, S., Pathak, P., & Jalal, A. S. (2022, December). Predicting COVID-19 fourth wave incidence in India using machine learning algorithms and SEIR model. In 2022 IEEE 9th Uttar Pradesh section international conference on electrical, electronics and computer engineering (UPCON) (pp. 1-6). IEEE.
• [2] Prakash, S., Jalal, A. S., & Pathak, P. (2023, March). Forecasting covid-19 pandemic using prophet, lstm, hybrid gru-lstm, cnn-lstm, bi-lstm and stacked-lstm for india. In 2023 6th International Conference on Information Systems and Computer Networks (ISCON) (pp. 1-6). IEEE.
• Featured in

Service:

• Board Memberships - Nil
• Editorial Positions - Nil
• Reviewer Experience

Reviewer in Springer Nature’s Journal - Health Services and Outcomes Research Methodology

Reviewer in Springer Nature’s Journal - Stochastic Environmental Research and Risk Assessment

Others:

• Professional Service – 21 years in IT S/W R&D Industry
• Professional Memberships