Academic Profile :

OrcID-https://orcid.org/0009-0002-5213-8047

Publications:

PATENT:

1. Dr. Uttam Kolekar, Dr. Sachin H. Malave, Prof. Rushikesh Rajendra Nikam, and Prof. Deepak Subhash Khachane, “BEACONNEXT: Automated Attendance System Using Beacon Technology”, Indian Patent Application No. 202421068077, Published.

COPYRIGHT:

1. Title: “Implementing Smart attentiveness Tracking System Based On Smart Watch & Machine Learning”

       Indian Copyright Registration Number: 15815/2025-CO/SW Published in 2024-25

2. Title: “SENSEI LLM POWERED STUDY ASSISTANT”

      Indian Copyright Registration Number: SW-19875/2024 Published in 2024-25

Paper Publications:

Journal Papers:

• Nikam, R. R. (2024). Emerging power of ICT in healthcare: Insights from survey-based investigation. Communications on Applied Nonlinear Analysis 31 (5s), 431-439. https://doi.org/10.52783/cana.v31.1062

• Nikam, R. R. (2024b). FOG Computing Simulators: A Comprehensive research and analytical study. Communications on Applied Nonlinear Analysis, 31(5s), 382–389. https://doi.org/10.52783/cana.v31.1057

Book Chapters:

1. Rushikesh Nikam, Deepak Khachane, Suchita Dange, Vedanti Godbole, Saloni Chavan, Atharva Jagtap on Automated airport immigration system in Recent Advances in Technology & Management , Taylor and Francis 2025
2. Rushikesh Nikam, Harshali Bhuwad, Deep Kotwalc, Yoshita Kumbhard, Sakshi Kuntae, Shonit Luniya on Mental Health Relaxation using Virtual Reality in Recent Advances in Technology & Management , Taylor and Francis 2025

Conferences Papers:

1. D. Khachane, R. Nikam, A. Panigrahi, D. Poojary, K. Patil, and U. Pohankar, “AI workspace for research and project management with DistilBERT model,” Artificial Intelligence and Sustainable Innovation, pp. 609–614, Nov. 2025, doi: 10.1201/9781003731689-90.
2. Rushikesh Nikam, Advances in Data-Driven Computing and Intelligent Systems: Selected Papers from ADCIS 2024, Volume 4. Singapore, Springer Nature Singapore, 2026.
3. Bhuwad, H., Nikam, R., Londhekar, D., Gunjal, S., Siddibapa, J., Singh, A. (2026). Optimizing DOOM Game Using Reinforcement Learning. In: Bansal, J.C., Jamwal, P., Hussain, S. (eds) Proceedings of the International Conference on AI and Robotics. AIR 2025. Lecture Notes in Networks and Systems, vol 1628. Springer, Cham. https://doi.org/10.1007/978-3-032-05545-3_30
4. R Nikam. World Congress on Smart Computing: Proceedings of WCSC 2024. Singapore, Springer Nature Singapore, 2025.
5. Nikam, R.R., Motwani, D. (2025). Machine Learning-Driven Attack Detection for Fog Computing Environments. In: Kaiser, M.S., Xie, J., Rathore, V.S. (eds) Intelligent Strategies for ICT. ICTCS 2024. Lecture Notes in Networks and Systems, vol 1321. Springer, Singapore. https://doi.org/10.1007/978-981-96-4151-2_17
6. Rushikesh Nikam, “"Heartbeat Prediction using Mel Spectrogram and MFCC Value.” published in IEEE IAS Global Conference on Emerging Technologies (GlobConET). IEEE, 2023.
7. Rushikesh Nikam “Linear Regression vs LSTM for Time Series Data.”  published in IEEE World Conference on Applied Intelligence and Computing (AIC). IEEE, 2022.
8. Rushikesh Nikam “Food Recommendation System” published in International Journal for Research in Engineering Application & Management (IJREAM)2022.
9. Rushikesh Nikam “Reverse Image Querying” published in International Journal For Research in Applied Science and Engineering Technology, 2022

Awards & Achievements:

• Mentor for Arogyam in SIH 2025.
• Mentor for Automated Immigration System project which is participated in University of Mumbai Avishkar 2025
• Mentor for Automated Immigration System project which is participated in University of Mumbai Avishkar 2025
• Mentor for Jatayu Season V held between Jan’26 – Jul’26 by Virtusa.
• Resource Person for School Connect 2.0 STTP which held in 2024-25
• Mentor for Better U -Web and Machine learning based Mental health solution project which is participated in University of Mumbai Avishkar 2024.

STTPs & FDPs attended:

• FDP Attended on Next-Gen Computing: Advances in HPC and Quantum Technologies for Data-Driven Insights(ATAL) in 2024-25
• STTP Attended on Deep learning & Big data Analytics Tools in 2024-25.
• FDP Attended on Innovative Teaching Pedagogy and Skills Components of NEP in 2024-25
• FDP Attended Building Solutions using No Code AI and Machine Learning in 2023-24
• FDP attended Cybersecurity and Artificial Intelligence in 2022-23
• STTP Organized on API Postman in 2023-24