Education

• PhD Pursuing VTU, Belgaum, Karnataka, India.
• M.E. 2012: Mumbai University, Pillai Institute of Information Technology and Media Research, (now Pillai College of Engineering), in Information Technology
• Post Graduate Diploma in International business 2013,
• B.E. 2004: Shivaji University, Walchand Institute of Technology in Computer Engineering
• Diploma 2000: MSBTE, Puranmal Lahoti Govt. Polytechnic in Computer Engineering
• Diploma 1994: MSBTE, Puranmal Lahoti Govt. Polytechnic in Mechanical Engineering

Courses

UG :

• Machine Learning
• Artificial Intelligence
• Analysis of Algorithm
• Software Engineering

PG:

• Quantum Computing
• Deep Learning
• High Performance Computing

Patents Title

• Foldable Multi-Utility Smart Exam Writing Pad with Integrated Privacy Shield and Device Dock”Patent Application Filed (Indian Patent Office, 2026).

Publications

• Kapse, R., Harsoor, B. (2025). Source Code Pre-processing and Analysis to Extricate Features Using Abstract Syntax Tree. In: Ghinea, G., Semwal, V.B., Khandare, A. (eds) Intelligent Computing and Networking. IC-ICN 2024. Lecture Notes in Networks and Systems, vol 1172. Springer, Singapore. https://doi.org/10.1007/978-981-97-8631-2_15.
• Kapse, R., Harsoor, B. (2025). Defect Prediction of Python Program Using Genetic Algorithm and Machine-Learning Techniques. In: Dutta, S., Bhattacharya, A., Pham, V., Polkowski, Z. (eds) Data Mining and Information Security. ICDMIS 2024. Lecture Notes in Networks and Systems, vol 1389. Springer, Singapore. https://doi.org/10.1007/978-981-96-6066-7_25.
• Rahul Kapse , Bharati Harsoor. (2025). Optimizing Defect Prediction in Python Programme: A Genetic Algorithm and Machine Learning Approach. South Eastern European Journal of Public Health, 765–779. https://doi.org/10.70135/seejph.vi.3739
• Shubham Nikam, Prajwal Save, Babita Yadav, Rahul Kapse & Ekta Ukey, “Integration of Support Vector Machine (SVM) A Machine Learning and Remote Sensing Imagery for Enhanced Water Quality Assessment: A Technologically Advanced Approach Towards Environmental Monitoring And Management”, Scopus, CIMS, Vol. 29, No. 4, pp. 128–141, Apr. 2023
• Tanmayi Nagale & Rahul Kapse, “Enrichment of Time Efficiency for MapReduce Workloads through Job Ordering” Imperial Journal of Interdisciplinary Research (IJIR) Vol-3, Issue-5, 2017 ISSN: 2454-1362
• Rahul Kapse, Reshma Talar, “Review of Software Fault Prediction Using Data Mining Techniques” Research Forum Seminar, at Pillai HOC College of Engineering & Technology, Rasayani, Volume: 2, March 2015
• Devita V. Durgel, Jyoti More, Chelpa Lingam and Rahul Kapse, “MapReduce Architecture for Reality Mining of Urban Space” Tech Streams National Conference, at Pillai HOC College of Engineering & Technology, Rasayani, 2014
• Rahul R. Kapse and Shankar M. Patil, “Automatic Test Case Generation from UML Object Diagram Using Genetic Algorithm with Prioritized Optimization”, International Conference on Global Technology Initiatives ICGTI 2012, at Rizvi College of Engineering, Bandra, Mumbai

Academic & Professional Recognition

• Recognized PG Teacher, University of Mumbai

Leadership & Entrepreneurship

• Founder & Director, RevrenQAI LLP
• Director & Co-Founder, Reva Technologies

Editorial & Review Responsibilities

• Invited Reviewer, Empirical Software Engineering (EMSE) – A Q1-ranked SCOPUS journal published by Springer Nature
• Reviewer, International Conference on Intelligent Optimization and Big Data Management (IOBDM 2025), Wuhan, China

NPTEL Certifications

• 12-Week NPTEL Course: Cryogenic Electronics for Quantum Computing
• 12-Week NPTEL Course: Quantum Algorithms and Cryptography
• 4-Week NPTEL Course: Introduction to Quantum Computing – Quantum Algorithms and Qiskit

Personal Website and Social Media