Biography
Dr. M. Sridevi has over 20 years of Teaching experience in Academia. She has completed a Doctor of philosophy in Computer Science Engineering from JNTU, Hyderabad. Her Research expertise includes Information Retrieval, Recommender Systems, Data Mining, and Machine Learning. Published around 20 Journals, supervising research scholars. Honored with Best Teacher Award. Received the Best Paper Award for the International Conference, ICRAEM-2020. She is acting as a BoS chair for the Data Science Department and also serving as a BoS member in other institutes to plan, evaluate, and revise curricula, course content, and course materials. She is presently guiding 5 Research scholars for the Ph.D Programme.
Research Interests
- Data Mining
- Recommender Systems
- Information Retrieval Systems
- Machine Learning
Teaching Interests
- Programming and Problem Solving
- Data Structures
- Design and Analysis of Algorithms
- Artificial Intelligence
- Data Science
- Python Programming
- Linux Programming
- Data warehousing and Data Mining
- Operating Systems
- Software Engineering
- Distributed Databases
Selected Publications
- M.Sridevi, Dr. R.Rajeswara Rao, Dr.M.Varaprasad Rao, “A Survey on Recommender System” International Journal of Computer Science and Information Security, Vol. 14, No. 5, May 2016, ISSN 1947-5500
- M. Sridevi, Dr. R.Rajeswara Rao, “DECORS: A Simple and Efficient Demographic Collaborative Recommender System for Movie Recommendation”Advances in Computational Sciences and Technology ISSN 0973-6107 Volume 10, Number 7 (2017) pp. 1969-1979
- M. Sridevi, Dr. R.Rajeswara Rao, “Exploiting Experts opinion via Collaborative Filtering Approach using User Demographics and Clustering”, Jour of Adv Research in Dynamical & Control Systems, 15-Special Issue, October 2017 [Elsevier Scopus]
- M.Sridevi, Dr.R.Rajeswara Rao,” Personalized Recommender by exploiting domain based expert for enhancing Collaborative Filtering Algorithm : PReC”, International Journal of Advanced Computer Science and Applications, Vol. 10, No. 3, 2019 (indexed by Scopus & ESCI)
- M.Sridevi, Dr.R.Rajeswara Rao, “Using Expert based Preference Elicitation for Collaborative Filtering Recommender systems”, International Journal of Control and Automation ISSN: 2005- 4297 , Vol. 13, No. 2, (2020), pp. 592 – 598
- A.A.Khan, M.Sridevi, “Privacy and security model for online social network (OSN) friend recommendation”, International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-8 Issue-3, February 2019
- N.Akhilandeshwari, M.Sridevi, “Collaborative Filtering Web Based Service Recommender System”, International Journal of Advanced Science and Technology, Vol. 28, No. 14, (2019), pp. 215-219
- M. Sridevi, Dr. R.Rajeswara Rao, “An Enhanced Personalized Recommendation Utilizing Expert’s Opinion via Collaborative Filtering and Clustering Techniques”, ICICT-2016, IEEE Explore, 978-1-5090-1286-2, Aug 2016.
- M.Sridevi, Dr. R.Rajeswara Rao, Dr.M.Varaprasad Rao, “Recommendation System for Smart Mobile Phone selection through e-commerce website using TOPSIS algorithm “, NCCSIGMA 16, IJAERS, ISSN: 2349-6495, Dec 2016.
- M.Sridevi, Dr. R.Rajeswara Rao, “Finding Right Doctors and Hospitals: Personalized Health Recommender “ ICTCS 2017, Udaipur, Springer Lecture Notes in Networks and Systems series 40, 10.1007/978-981-13-0586-3_69
- M.Sridevi, N.Manikya Arun, M.Sheshikala, Sudharshan.E. “Personalized fashion recommender system with image based neural networks” IOP Conf. Series: Materials Science and Engineering 981 (2020) 022073 IOP Publishing doi:10.1088/1757-899X/981/2/022073
- Neelakandan S, Sridevi M, Saravanan Chandrasekaran, Murugeswari K,Aditya Kumar Singh Pundir , Sridevi R,and T.Bheema Lingaiah, “Deep Learning Approaches for Cyberbullying Detection and Classification on Social Media”, Article ID 2163458, Vol.2022, doi.org/10.1155/2022/2163458, June 2022
Selected Awards and Honors
- Honored with Best Teacher Award for the year 2016
- Received Best Paper Presentation award, International Conference, ICRAEM-2020
- Reviewer for the Journal PeerJ and International Conference Papers
- Grant of SEED internal Funding of 2 Lacs, for the Title “Recommender Systems in supporting the Course selection in Core Elective, Minor and Major Courses”
- Acted as a panelist in the Panel Discussion – “How Data Science is applied in Waste Management across the world.” on June 3rd at Indian School of Business, Hyderabad organized by WIDS, Hyderabad.
External Profile Links
- Ph.D [Computer Science and Engineering] in the area Recommender Systems from Jawaharlal Nehru Technological University, Hyderabad
- M.Tech [Computer Science and Engineering] from JNTU, Hyderabad, Telangana
- B.Tech [Computer Science and Engineering] from Kamala Institute of Technology and Science, Warangal
