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Dr. Santhosh Kumar G

Professor

Department of Computer Science

Cochin University of Science and Technology
Kochi - 682022, Kerala, India

E-mail-

san@cusat.ac.in



BRIEF BIO
Santhosh Kumar G is a Professor in the Department of Computer Science at Cochin University of Science and Technology, Kerala, where he has been since 2001. Santhosh received his MTech degree and his Ph. D. in Computer Science from Cochin University. Santhosh was a senior analyst programmer at the Infortech SDN, BHD, Malaysia, and a senior analyst programmer at Tao Information Technology, Bangalore (1999-2001) before joining Cochin University. His research interest is in areas related to Cyber-Physical Systems and Computer Vision. He is a senior member of ACM and IEEE and a lifetime member of the Computer Society of India.

RESEARCH INTERESTS
Computer Vision, Cyber Physical Systems, Natural Language Processing

RESEARCH PROFILES
Publons : https://www.webofscience.com/wos/author/rid/G-6027-2010
Scopus : https://www.scopus.com/authid/detail.uri?authorId=57192003365
Google Scholar : https://scholar.google.co.in/citations?user=1b3XxQ8AAAAJ&hl=en

JOURNAL PUBLICATIONS (RECENT) [TOTAL PUBLICATIONS : 17]
  • Novel abstraction methods for TDMA based MAC protocols: case of IIoT MAC wireless HART verification, Telecommunication Systems, Springer Nature 2023

  • Formal Verification of a MAC Protocol for Underwater Sensor Networks, IEEE Access, IEEE Vol. 11, 2023

  • Formal modeling of the gPTP clock synchronization algorithm in automotive ethernet, Innovations in Systems and Software Engineering, Springer Nature Vol. 19, 2023

  • Abstracting IoT protocols using timed process algebra and SPIN model checker, Cluster Computing, Springer 2023

  • Malayalam Natural Language Processing: Challenges in Building a Phrase-Based Statistical Machine Translation System, ACM Transactions on Asian and Low-Resource Language Information Processing, ACM 2023

  • Formal Modelling and Verification of the Clock Synchronization Algorithm of FlexRay,, Defense Science Journal, 2023

  • Identification of Crowd Behaviour Patterns Using Stability Analysis, Journal of Intelligent & Fuzzy Systems, IOS Press Vol. 42, 2022

  • Generic Methodology for Formal Verification of UML Models, Defence Science Journal, DESIDOC Vol. 72, 2022

  • Abnormal Crowd Behaviour Detection Using Parallel Deep Neural Networks, Journal of Information Science and Engineering, Institute of Information Science, Academia Sinica, Taipei Vol. 37, 2021

  • Learning in the presence of concept recurrence in data stream clustering, Journal of Big Data, Springer Vol. 7, 2020

  • CONFERENCE PUBLICATIONS (RECENT) [TOTAL PUBLICATIONS : 27]
  • PolySegNet: Improving Polyp Segmentation through Swin Transformer and Vision Transformer Fusion, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024

  • Self-supervised animal detection in constrained environment, VUA workshop of BMVC 2023, 2023

  • Tracking-by-Self Detection: A Self-supervised Framework for Multiple Animal Tracking, IFIP International Conference on Artificial Intelligence Applications and Innovations, 2023

  • Tracking-by-Self Detection: A Self-supervised Framework for Multiple Animal Tracking, IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2023), 2023

  • A Performance and Power Characterization study of Memoization and Tabulation methods in Graph Neural Networks by assessing Dynamic Programming Workloads, ICITISEE 2022, 2022

  • LGCM: A Communication-Efficient Scheme for Federated Learning in Edge Devices, INDICON 2022, 2022

  • Automatic Formal Model Generation from UML Diagrams–An Implementation Experience, 2022 IEEE Delhi Section Conference (DELCON), 2022

  • BiLSTM-Autoencoder Architecture for Stance Prediction, International Conference on Data Science and Engineering, 2020

  • CUSUM based concept drift detector for data stream clustering, International Conference on Big Data and Internet of Things, 2020

  • Personalized News Media Extraction and Archival Framework with News Ordering and Localization, Advances in Intelligent Systems and Computing, Vol. 933 , 0, 2019

  • BOOKS PUBLISHED
  • Dr. Santhosh Kumar G, Deepak P, Tanmoy Chakraborthy, Cheng Long, Data Science for Fake News: Surveys and Perspectives, Springer International Publishing, 2021 , ISBN : 978-3-030-62695-2

  • Dr. Santhosh Kumar G, Jimson, Deepak, Joemon, Responsible Data Science, 2022 , ISBN : 978-981-19-4452-9

  • RESEARCH PROJECTS
  • "Collusion and Fake News: Are social networks being orchestrated in favor of fake news?" (MHRD- 2019 -2022 , Total outlay Rs.6800000)

  • "International Network for Image-based Diagnosis" (The Research Council of Norway- 2022 -2024 , Total outlay Rs.45000000)

  • "Responsible Disinformation Detection with an Emphasis on Global South" (Queen's University, Belfast, UK- 2022 -2023 , Total outlay Rs.940625)