Faculty
Dr. Smitha Rajagopal
Assistant Professor
Alliance College of Engineering and Design
Dr. Smitha Rajagopal earned her PhD from the Manipal Academy of Higher Education (MAHE). She also holds master’s and bachelor’s degrees from BMS College of Engineering, Bengaluru, and Presidency College, Bengaluru, respectively.
Her PhD dissertation is a fusion of cloud computing and machine learning, with a focus on deploying a cloud-based intrusion detection and prevention system. She has published her research in esteemed journals such as IEEE Access and Security and Communication Networks. In a relatively short span of time, her work has garnered numerous citations, showcasing its impact. Her H-index reflects a consistent track record of influential research.
- S. Rajagopal, P. P. Kundapur and K. S. Hareesha, "Towards Effective Network Intrusion Detection: From Concept to Creation on Azure Cloud," in IEEE Access, Volume 9, 2021.
- Smitha Rajagopal, Poornima Panduranga Kundapur, Katiganere Siddaramappa Hareesha, "A Stacking Ensemble for Network Intrusion Detection Using Heterogeneous Datasets", Security and Communication Networks, vol. 2020.
- Rajagopal, Smitha, Katiganere Siddaramappa Hareesha, and Poornima Panduranga Kundapur. "Optimizing Pair Programming in a Scholastic Framework: A Design Pattern Perspective." J. Comput. Sci. 13, no. 6 (2017): 199-210.
- Rajagopal, Smitha, Poornima Panduranga Kundapur, and Hareesh Katiganere Siddaramappa. "A predictive model for network intrusion detection using stacking approach." International Journal of Electrical and Computer Engineering, vol. 10, no. 3 (2020): 2734.
- Rajagopal, Smitha, Katiganere Siddaramappa Hareesha, and Poornima Panduranga Kundapur. "Performance analysis of binary and multiclass models using azure machine learning." International Journal of Electrical & Computer Engineering (2088-8708) 10, no. 1 (2020).
- Smitha, Rajagopal, K. S. Hareesha, and Poornima Panduranga Kundapur. "A machine learning approach for web intrusion detection: MAMLS perspective." In Soft Computing and Signal Processing, pp. 119-133. Springer, Singapore, 2019.
- Rajagopal, Smitha, Katiganere Siddaramappa Hareesha, and Poornima Panduranga Kundapur. "Feature Relevance Analysis and Feature Reduction of UNSW NB-15 Using Neural Networks on MAMLS." In Advanced Computing and Intelligent Engineering, pp. 321-332. Springer, Singapore, 2020.
Patents
- System and Method for Network Intrusion Detection, filed on September 26 2021 (Indian Patent), Status: Published, PCT/IB2021/062303
- A system for Feature Relevance Analysis and Feature Reduction on Microsoft Azure Machine learning studio, German patent, Status: Granted, 202023100327
Workshops / FDPs attended
- Two-Day workshop on Machine learning organized under the aegis of Dr. T.M.A. Pai Endowment, Data Analytics and Cloud Computing on 9th and 10th October 2015.
- One-Day National Workshop on Cyberspace Security: Digital India Context held at NITK, Surathkal on 17th October 2015.
- One-week National level faculty development program on Machine Learning conducted at JNTUH, Hyderabad from April 11-16, 2016.
- Two-week short course on Certified Ethical Hacking organized by Indian Institute of Information Technology and Management, Kerala during November 23-December 4, 2015 at Thiruvananthapuram.
- three-Day workshop on Open-source Network Experimentation (ONE-2017) conducted at NITK, Surathkal during June 1st to 3rd, 2017.
- One-Day faculty development program on Machine Learning held at MIT, Manipal on 22-11-2019.
- Two-Day workshop on Clustering in Machine Learning held at MIT, Manipal during September 26-27, 2016.
- Two-day workshop on Cloud computing held at Mangalore University on 4th and 5th February, 2015 in association with IIT, Bombay.
- Statistics for Data Analytics (Series-1) conducted by Rajagiri School of Arts & sciences, Kochi, Kerala, 3rd to 7th August 2021
- Technology Roadmap for Emerging Future conducted by CDAC Pune, 17th-18th July and23rd-25th July 2021
- VGST sponsored four days online FDP on Recent trends in computational intelligence and analytics conducted by RVCE, Bangalore, 17th to 20th January 2022
- Short Term Training Program (STTP) on “Art of Algorithm Writing and Computer Programming” conducted by NIT, Warangal, 24th to 28th January 2022
- One Week Faculty Development Programme on "Disruptive Technologies and Challenges in Data Science, Artificial Intelligence and Machine learning" conducted by Dayananda Sagar College of Engineering, Bangalore.
- Workshop On Capacity Building Program in Cybersecurity & Its Investigation Date: 01-10 May 2023.
Awards Won
- Dr. T M A Pai PhD scholarship, 2015
Poster Presentation
- Presented a research poster at the Manipal Research Colloquium -2018.
Paper Presentation
- Presented a paper “A Generalized Predictive Analytics Workflow for Intrusion Detection on Microsoft Azure” at the Manipal Research Colloquium -2018.
