Dr. Shrirang Ambaji Kulkarni

Associate Professor

Department of Computer Science and Engineering

Email: sakulkarni@nie.ac.in
Phone No: 9980384414
About Me:

My current research interests are in the area of machine learning, wireless networks, Internet of Things (IoT). I am interested in the applications of machine learning to healthcare, cybersecurity, and network routing. The capacity of metamodels to learn from different machine learning algorithms and their potential for improved applications inspires me.

  • B.E Computer Science and Engineering Karnataka University Dharwad (KUD)
  • M.Tech. Computer Network Engineering, VTU, Belagavi
  • Ph.D. Computer and Information Science, VTU, Belagavi
  • Post-Doc University of Central Florida (UCF), USA
  • Associate Professor
 
  • Regression Modelling using Deep Learning Algorithms for Internet of Things (IoT)
  • Quality of Service Issues for Vehicular Ad Hoc Networks
  • Worked as the Principal Investigator for the proposal titled “Quality of Service Issues for Vehicular Ad Hoc Networks” from Computer Society of India and received a mini grant of Rs 20,000 for the year 2012-13.
  • Awarded Paper Presenter Award at International Conference at CSI 2011 National Convention on 1st to 3rd December, 2011. This award is given to professional CSI members who has the highest number of research papers in peer-reviewed journals and conference in a given year.
  • Awarded Longest Continuous Student Branch Counselor Award at CSI 2011 National Convention on 1st to 3rd December, 2011.This award is given to professional CSI members who has served a Student Branch for the maximum numbers of years.
Journal Publications:
Refereed Journal Articles

13. Kulkarni, S.A., Gurupur, V., King C ., Koval, A, (2021), Impact of Gaussian Noise for Optimized Support Vector Machine Algorithm Applied to Medicare Payment on Raspberry Pi, Informatica , Vol 45, No 4, pp. 643-652 

12. Kulkarni, S.A., Jodh, P., Koval, A, V., Merrin G A., Gurupur, V., Nasir, A., King C, Wan, T, T, H., (2021),A Brief Analysis of Key Machine Learning Methods for Predicting Medicare Payments Related to Physical Therapy Practices in the United States, Information, 12(2), 57; https://doi.org/10.3390/info12020057

11. Gurupur, V., Kulkarni, S.A.,Liu, X.,Desai, U.,Nasir, A.,(2018).Analysing the Power of Deep Learning Techniques Over the Traditional Methods Using Medicare Utilization and Provider Data, Journal of Experimental & Theoretical Artificial Intelligence, DOI: 10.1080/0952813X.2018.1518999, Journal Impact Factor: 1.011.

10.  Kulkarni S.A, RaoG R (2017), A Formal Verification Model for Performance Analysis of Reinforcement Learning Algorithms Applied to Dynamic Networks, Journal of Applied Computer Science & Mathematics, 11(1), pp.13-16

9. Kulkarni S.A, Rao G R. (2012), Issues in Energy Optimization of Reinforcement Learning Based Routing Algorithms Applied to Ad-Hoc Networks, Informatica, 36 ,pp. 213-220.

8. Kulkarni S.A., Rao G R. (2012), Quality of Service Issues of Reinforcement Learning Based Routing Algorithm on IEEE 802.11e,  Journal of Computing and Information Technology, Vol. 20, No 4, pp. 247-256.

7. Kulkarni S.A, Rao G.R (2011), Performance Optimization of Reinforcement Learning Algorithm Applied for Dynamic Networks, International Journal of Information and Communication Technology, Inderscience Vol. 3, No. 1. pp. 101-115. (An initial version of the paper appeared in Proceedings of ICCVR -2010).

6.  Kulkarni S A, Rao G R (2010), Modeling Performance Optimization in a Non-Cooperative Ad Hoc Network, International Journal of Recent Trends in Engineering – IJRTE, Vol. 4, No 1, pp. 129-133.

5. Kulkarni S.A., Rao G R (2010), Applying Optimized Mobility Model for Reinforcement Learning Based Routing Algorithm for Mobile Ad Hoc Network, Journal of Computer Network and Internet Research, Vol. 10 Issue I, pp. 49-57.

4. Kulkarni S.A, Rao G. R.  (2010), Effect of Mobility Models on Reinforcement Learning Based Routing Algorithms Applied for Scalable Ad Hoc Network Environment, International Journal of Computer Network and Communications , Vol. 2, No. 6, pp. pp. 46-60.

3. Kulkarni S.A., Rao G. R. (2010), A Group Vehicular Mobility Model for Routing Protocol Analysis in Mobile Ad Hoc Network, Journal of Computing, Vol. 2, Issue 3, pp. 108-115.

2.  Kulkarni S.A, Rao G. R. (2010), A Performance Analysis of    Energy Efficient Routing in Mobile Ad Hoc Network, International Journal of Simulations – Systems, Science and Technology – IJSSST, Vol. 10, No.1-A. pp 01-09.

. Kulkarni S A,  RaoG. R (2008)., “Mobility and Energy Based Performance Analysis of Temporally Ordered Routing Algorithm for Ad hoc Wireless Network”, Special Journal Issue of IETE on Next Generation Network Converging Regime, Vol. 25, Issue 4, pp. 222 – 227. Journal Impact Factor 0.37.
  Peer-Reviewed Articles Published in Conference Proceedings
16. Kulkarni, S.A., Gurupur, V ., King C (2022).,Impact Analysis of Stacked Machine Learning Algorithms Based Feature Selections for Deep Learning Algorithm Applied to Regression Analysis,Proceedings of IEEE SoutheastCon 2022, Mobile, Alabama March 31st – April 23rd, 2022.

15. Kulkarni, S.A., Gurupur, V (2019)., ACase study for Comparing the Difference Between Logistic Regression and K-Nearest Neighbour Using RasberryPi for the Purpose of Machine Learning, Proceedings of SDPS 2019 Conference, July 28 – August 1, 2019, Taichung, Taiwan.

14. Kini A, Kulkarni S A.,(2017)., Real Time Implementation of k fake Location Generation Algorithm to Protect Location Privacy in Location Based Services, Proceedings of  International Conference on Advances in Computing, Communications and Informatics (IEEE-ICACCI), 13-16 September 2017, Manipal, India.

13. Sarvade V, Kulkarni S A (2017)., Performance Analysis of IEEE 802.11ac for Vehicular Networks using Realistic Traffic Scenarios, Proceedings of  International Conference on Advances in Computing, Communications and Informatics (IEEE-ICACCI), 13-16 September 2017, Manipal, India.

12. DeshpandeG C,Kulkarni S A (2017), Modeling and mitigation of XPath injection attacks for web services using modular neural networks, Proceedings of ICACNI 2017, 1-3 Jun 2017, Goa , India.

11. KulkarniS.A., RaoG. R (2013), Modeling Security attacks for Multipath Routing in Vehicular Ad-Hoc Networks under IEEE 802.11p, Proceedings ofIEEE International Conference  for Emerging Trends in Communication, Control, Signal Processing and Computing Applications,   10- 13 October 2013, Bengaluru, India.

10. Mane U,Kulkarni S.A (2013), QoS Realization for Routing Protocols on VANETs using Combinatorial Optimization, Proceedings of 4th IEEE International Conference on Computing, Communication and Networking Technologies, (ICCCNT 2013), 4-6 July  2013,Tiruchengode,India.

9. KulkarniC C., Kulkarni S.A (2013), “Human Agent Knowledge Transfer Applied To Web Security”, Proceedings of 4th IEEE International Conference on Computing, Communication and Networking Technologies, (ICCCNT 2013), 4-6 July  2013,Tiruchengode,India.

8. KalkundriR., Kulkarni S.A(2013), “A Secure Message Authentication Scheme for VANET using ECDSA”, Proceedings of 4th IEEE International Conference on Computing, Communication and Networking Technologies, (ICCCNT 2013), 4-6 July  2013,Tiruchengode,India.

7. MoreS, Kulkarni S.A, (2013), Data Mining with Machine Learning Applied for Email Deception, Proceedings of IEEEInternational Conference on Optical Imaging Sensor and Security, 2-3 July 2013, Coimbatore, India

6. Kulkarni S.A.,  RaoG. R. (2011), Modeling Performance Evaluation of Reinforcement Learning Based Routing Algorithm Applied for Scalable Non-Cooperative Ad-Hoc Networks, Proceedings of International Conference on Computing Communication and Control, ICAC’3-11, pp. 269-274, 28-29January 2011, Mumbai, India.

5. Kulkarni S.A, RaoG.R (2010), Performance Optimization of Reinforcement Learning Algorithm Applied for Dynamic Networks,Proceedings of ICCVR -2010, August 20-21, 2010, Odisha, India.

4. Kulkarni S.A,  Rao G. R (2010)., Vehicular Ad Hoc Network Mobility Models Applied for Reinforcement Learning Routing Algorithm , Proceedings of 3rd International Conference on Contemporary Computing (IC3),  9-11 August 2010,Noida, India.

3. Kulkarni S.A, RaoG.R (2009), Modeling Reinforcement Learning Algorithms for Performance Analysis, Proceedings of International Conference on Advances in Computing, Communication and Control – ACM-ICAC, pp. 35-39,23-24th, January 2009, Mumbai, India.

2. Kulkarni S.A,  Rao G. R.(2008), Mobility Model Perspectives for Scalability and Routing Protocol Performances in Wireless Ad-Hoc Networks,  Proceedings of International Conference IEEE-ICETET-08, pp. 176 – 181,  16-18 July, 2008, Nagpur, India.

1. Kulkarni S.A,  RaoG. R (2007)., Random Waypoint Mobility Model for Analyzing Reactive Routing Protocols for Mobile Ad Hoc Networks, Proceedings of International Conference on Advances in Information and Communication Technology, pp 81-85, 28 – 30 December 2007,Manipal, India.

UG Courses

  • CS0445 – Distributed Operating Systems
  • CS1C01 – C Programming
  • CS0521 – Cryptography and Network Security
  PG Courses
  • MIT 2E301 – Distributed Systems
  • MIT1C01 – Advances in Computer Networks
Books
3. Kulkarni S.A, Problem Solving using Python,Yes Dee Publishers, India 2020, ISBN -978-93-88005-45-6.

2. Kulkarni S.A , Gurupur, V,Fernandes, S.L., Introduction to Computer Vision, Machine Learning,and Deep Learning Applications using Raspberry Pi , Chapman and Hall/CRC; 1st edition  2020,ISBN-10 : 1138543527.

1. Kulkarni S.A, Problem Solving and Programming in Python, Yes Dee Publishers, India 2018, ISBN -978-93-80381-68-8.
Book Chapters
2. Kulkarni S.A, Rao G. R.(2012), “Mobility Models for Ad-Hoc Networks – A Performance Analysis Perspective”, in Technological Advancements and Applications in Mobile Ad-Hoc Networks: Research Trends, Editor Dr.Kamajit I Lakhtaria, IGI Global, pp. 51-64, ISBN-10: 1466603216

1. Kulkarni S.A., Rao G. R.(2010), “Mobility and Traffic Model Analysis for Vehicular Ad Hoc Networks”, in Advances in Vehicular Ad Hoc Networks: Developments and Challenges, Editor Dr. M Watfa, IGI Global, pp 214-232, ISBN-10: 1651209131.