Ph.D.
shreyas.hole@sitnagpur.siu.edu.in
Dr. Shreyas Rajendra Hole is a dedicated Assistant Professor at Symbiosis Institute of Technology, Nagpur, with 9.5 years of experience in academia, industry, and research. He holds a Ph.D. in Artificial Intelligence and Machine Learning, an MBA in Business Analysis, a Master of Engineering (ME), a Bachelor of Engineering (BE), and a Diploma in Engineering. His research focuses on Artificial Intelligence, IoT, Big Data, Renewable Energy, and Machine Learning, resulting in 19 SCI and SCOPUS-indexed publications, 11 patents, 1 book chapter, and editorial contributions to 2 textbooks. Recognized with prestigious research awards, Dr. Hole is committed to advancing intelligent energy systems and sustainable technologies.
| No. | Information |
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| 1 | Sagar, A., Hole, S., & Kolluru, V. (2025). Optimizing Solar Radiation Forecasting for Renewable Energy Systems: A Comparative Analysis of Machine Learning and Feature Engineering Techniques. Solar Energy and Sustainable Development Journal, 14(1), 295-315. https://doi.org/10.51646/jsesd.v14i1.386 |
| 2 | Hole, S., Vrindavanam, J., & Akhtar, Z. (2025). An Efficient Quantum-Enhanced Ensemble Fault Detection for Solar Energy Integration using an Iterative Game-Theoretic Approach with Adaptive Neuro-Fuzzy Inference and Energy Storage. Solar Energy and Sustainable Development Journal, 14(1), 279-294. https://doi.org/10.51646/jsesd.v14i1.489 |
| 3 | Hole S.R., Kute U.T., Upadhye S., Morbale J.S., Tondare S.P., Saini D.J. (2025) Design of an iterative model incorporating transformer-based self-attention and proximal policy optimization for solar power systems // Computational technologies. 2025. V. 30. № 3. P. 78-96 http://ict.nsc.ru/jct/annotation/2247 |
| 4 | Shreyas Rajendra Hole et al. (2025, July). AI—Prediction of Neisseria gonorrhoeae Resistance at the Point of Care from Genomic and Epidemiologic Data. In Healthcare (Vol. 13, No. 14, p. 1643). MDPI. https://doi.org/10.3390/healthcare13141643 |
| 5 | Shreyas Rajendra Hole et al. (2025) "Empirical analysis of control models for different converter topologies from a statistical perspective." Science and Technology for Energy Transition 80 (2025): 19. https://doi.org/10.2516/stet/2024110 |
| 6 | Shreyas Rajendra Hole et al (2024) EPCMSDB: Design of an ensemble predictive control model for solar PV MPPT deployments via dual bioinspired optimizations Sci. Tech. Energy. Transition 79 8, DOI: https://doi.org/10.2516/stet/2024002 |
| 7 | Shreyas Rajendra Hole et al. (2023) Design GA & PSO- based High-Efficiency SEPIC DC-DC Converter for Context-Aware Duty Cycle Control, Electric Power Components and Systems, DOI: http://dx.doi.org/10.1080/15325008.2023.2275702 |
| 8 | Shreyas Rajendra Hole et al. (2023). Analysis and Comparison of the DC-DC converter with soft Computing algorithm. EAI Endorsed Transactions on Scalable Information Systems, 11(2). https://doi.org/10.4108/eetsis.4050 |
| 9 | Hole, Shreyas Rajendra et al. "Quantitative analysis of DC–DC converter models: a statistical perspective based on solar photovoltaic power storage" Energy Harvesting and Systems, vol. 9, no. 1, 2022, pp. 113-121. https://doi.org/10.1515/ehs-2021-0027 (SCOPUS Q2) |
| 10 | Hole, Shreyas R. et al. "Design of an efficient MPPT optimization model via accurate shadow detection for solar photovoltaic." Energy Harvesting and Systems 10, no. 2 (2023): 377-383. https://doi.org/10.1515/ehs-2022-0151 |
| 11 | Hole, Shreyas Rajendra et al. "Design of a novel hybrid soft computing model for passive components selection in multiple load Zeta converter topologies of solar PV energy system" Energy Harvesting and Systems, 2023. https://doi.org/10.1515/ehs-2023-0029 |
| No. | Information |
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| 1 | Hole, S.R. et al. (2025, May). UltraRes: ESRGAN-Powered AI Image Upscaling for Enhanced Clarity, Texture, and Detail Restoration in Digital Media. In 2025 3rd International Conference on Data Science and Information System (ICDSIS) (pp. 1-7). IEEE. https://ieeexplore.ieee.org/abstract/document/11071187 |
| 2 | Hole, S.R. et al. (2025, March). Machine Learning and Artificial Intelligence for Predictive Modeling in Antimicrobial Resistance Data Sets, Challenges, and Future Directions. In 2025 3rd International Conference on Smart Systems for applications in Electrical Sciences (ICSSES) (pp. 1-6). IEEE. https://ieeexplore.ieee.org/abstract/document/11009316 |
| 3 | Hole, S.R. et al. (2025, February). A Design of Hybrid Model and Bayesian Neural Networks for Smart Grid Stability Prediction. In 2025 IEEE 1st International Conference on Smart and Sustainable Developments in Electrical Engineering (SSDEE) (pp. 1-7). IEEE. https://ieeexplore.ieee.org/abstract/document/10967715 |
| 4 | Hole, S.R. et al. (2025, February). Hybrid Approach of TabNet and Transformer-XGBoost for Predicting Traffic Flow in Smart Cities. In 2025 IEEE 1st International Conference on Smart and Sustainable Developments in Electrical Engineering (SSDEE) (pp. 1-8). IEEE. https://ieeexplore.ieee.org/abstract/document/10968571 |
| 5 | Hole, S.R. et al. (2025, February). Hybrid PCA-Based Machine Learning Models for Predictive Analytics in Urban Health Monitoring Systems. In 2025 IEEE 1st International Conference on Smart and Sustainable Developments in Electrical Engineering (SSDEE) (pp. 1-8). IEEE. https://ieeexplore.ieee.org/abstract/document/10967575 |
| 6 | Hole, S.R. et al. (2025, February). AI-Driven Mobile Healthcare: Societal Impact, Workforce Adaptation, and Enhanced Predictive Modeling for Diabetes Risk Assessment. In 2025 International Conference on Pervasive Computational Technologies (ICPCT) (pp. 557-564). IEEE. https://ieeexplore.ieee.org/abstract/document/10940740 |
| 7 | Hole, S.R. et al. Design of an Efficient Model for DC-DC Converter Topologies and Grid Integration in Electric Vehicles. In 2024 5th Electric Power and Renewable Energy Conference (EPREC-2024) NIT Jamshedpur, India, 24th - 26th May 2024. |
| 8 | S. R. Hole et al. (2023). F2PMSMD: Design of a Fusion Model to Identify Fake Profiles from Multimodal Social Media Datasets. Intelligent Systems and Machine Learning. ICISML 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 471. Springer, Cham. https://doi.org/10.1007/978-3-031-35081-8_2 |
| 9 | S. R. Hole et al. "Maintain Maximum Power Point Tracking of Photovoltaic using SEPIC Converter," 2022 2nd International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC), 2022, pp. 1-6, https://ieeexplore.ieee.org/document/9726607 |
| 10 | S. R. Hole et al. "Analysis and Performance of Solar Photovoltaic Energy System in India: Case Study," 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2022, pp. 228-234, https://doi.org/10.1109/ICIRCA54612.2022.9985490 |
| 11 | S. R. Hole et al. “Analysis and Observation of Solar PV. Harvesting System during Lockdown in Coronavirus Disease Pandemic Crisis in 2019,” Mukt Shabd Journal, vol. XI, no. V, pp. 208–216, 2022, https://app.box.com/s/3xbjtuehsslk6ntrsp7cpnthv6g4tsn7 |
| No. | Information |
|---|---|
| 1 | BOOST CONVERTER TO OBTAIN CONSTANT OUTPUT FROM A SOLAR PV; The Patent Office Journal No. 13/2023 Dated 31/03/2023 Application No. 202341018275 A. Granted |
| 2 | SEPIC & INVERTER BASED PHOTOVOLTAIC MAXIMUM POWER POINT TRACKING SYSTEM USING LPC 2148 & PIC16F87; The Patent Office Journal No. 52/2021 Dated 24/12/2021; Application No. 202141057904 A. |
| 3 | SELECTION OF PASSIVE COMPONENT UNDER MULTIPLE LOAD ZETA DC-DC CONVERTER; The Patent Office Journal No. 33/2023 Dated 18/08/2023 Page No. 54143; Application No. 202341041012 A. |
| 4 | SYSTEM AND METHOD FOR SHADOW DETECTION AND OPTIMIZATION OF POWER OUTPUT IN PHOTO-VOLTAIC CELLS; The Patent Office Journal No. 35/2023 Dated 01/09/2023. Page No. 57992; Application No. 202341055237 A. |
| 5 | A SOLAR PHOTOVOLTAIC SYSTEM WITH POWER STABILITY MANAGEMENT AND METHOD THEREOF; The Patent Office Journal No. 39/2023 Dated 29/09/2023. Page No. 65010; Intellectual Property India Application No. 202341062425 A. |
| 6 | SYSTEM AND METHOD FOR SOLAR DEPLOYMENT ENSEMBLE PREDICTION: The Patent Office Journal No. 50/2023 Dated 15/12/2023. Page No. 88699; Intellectual Property India Application No. 202341074284 A. |
| 7 | SEPIC-Based BESS for Maintaining Maximum Power Point of Solar Panels Using Machine Learning and Method Thereof: The Patent Office Journal No. 35/2024 Dated 30/08/2024. Page No. 77495; Intellectual Property India Application No. 202441063265 A. |
| 8 | AI based Electric Vehicle Charging Station: Intellectual Property India Application No. 421982-001; Cbr Number: 211622; Cbr Date: 02/07/2024. |
| 9 | Sensor Based Network Intrusion Detecting Device: Intellectual Property Office UK Design; Design number: 6375834 ; Grant date: 10 July 2024 |
| 10 | CONTEXT-AWARE SINGLE-ENDED PRIMARY-INDUCTOR CONVERTER (SEPIC) SYSTEM FOR DUTY CYCLE MANAGEMENT WITH REAL-TIME RECONFIGURATION: The Patent Office Journal No. 38/2024 Dated 20/09/2024. Page No. 84718; Intellectual Property India Application No. 202441068823A. |
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