Smrithi S

Smrithi S

Assistant Professor

M.Tech (PhD)

smrithis.cse@bmsce.ac.in

Research Interests: Machine Learning, Multimodal Deep Learning, Computer Vision

About

Smrithi Surendran is an Assistant Professor in the Department of Computer Science and Engineering at BMS College of Engineering. She holds an M.Tech degree in Computer Science and Engineering from PES University and has up to 3.5 years of experience in teaching and academic activities(concurrent with PhD). Her teaching interests focus on strengthening fundamental concepts in Computer Science through practical and application-oriented learning.
Her research interests include Artificial Intelligence, Machine Learning, Deep Learning, Multimodal Learning, Computer Vision, Audio-Visual Processing, and Deepfake Detection. She has been involved in research publications, experimental development, and academic projects in the areas of AI and multimodal systems. Her academic interests further include emerging technologies in Artificial Intelligence and their applications in real-world problems.

Education

  • M.Tech - Computer Science and Engineering
    PES University
    Passed Year: 2019 | Program Type: FullTime
  • B.Tech - Information Science and Engineering
    Vemana Institute of Technology
    Passed Year: 2016 | Program Type: FullTime

Selected Publications

  • Conference | Published On : 17-12-2022
    Smrithi S, Sarasvathi V
    S. Surendran and V. Sarasvathi, "A Study on IoT layered Attacks and Countermeasures," 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), Greater Noida, India, 2022, pp. 1869-1874, doi: 10.1109/ICAC3N56670.2022.10074071.
    Weblink
  • Journal | Published On : 01-05-2020
    Smrithi S, Saritha, Sarasvathi V
    Sarasvathi V, Smrithi S. Air Quality Monitoring and Predicting System for Sustainable Health Management using Multi-Linear Regression in IoT. Int J Comput Dig Syst. 2020;9(3):419–32.
    Weblink

Other Information

She has conducted AI-related workshops and technical sessions for faculty members, contributing to academic and professional development activities.

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