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Athirasree Das

/Athirasree Das
Athirasree Das 2025-05-13T04:19:32+00:00

Prof. Athirasree Das

Assistant Professor
Department of Computer Science & Engineering
Mobile Number: +91 9778359463
Email: athirasreedas@sjcetpalai.ac.in

DegreeSpecializationInstitutionUniversityYear of Passing
B.Tech.Computer Science and Engineering College of Engineering KidangoorCUSAT2019
M.Tech.Computer and Information ScienceCollege of Engineering KidangoorKTU2022
Name of the College/IndustryDesignationDate of JoiningDate of Relieving
Tech MahindraAssociate 18-05-201826-09-2019
  1.  Participated in Webinar on ”Fundamentals of Blockchain” organized by Computer Society of IEEE SB in College of Engineering Munnar.
  2. Faculty Development Programme on ”Exploring Image Processing and Computer visionusing python” organized by Department of CSE, College of Engineering Kidangoor.
  3. Faculty Development Programme on ”Data Analytics – A hands on Experience” organized by Department of CSE, College of Engineering Kidangoor.
  4. Workshop on ”IoT with Raspberry Pi” organized by Pantech,Ernakulam.
  5. Participated in Seminar and Workshop on ”Emerging Technologies in open source -Cloud” conducted by ipsr solutions ltd
  6. Participated and Presented a paper in National Conference based on ”A brief study on Cloud Computing” in 2016.
  7. Participated and Presented a paper in National Conference based on ”A survey on image and video super resolution with deep learning models ” in 2021.
  8.  Presented a paper in National Conference based on ” An image super resolution deeplearning model LapSRN with transfer learning” in 2021.
  9.  Presented a paper in International Conference on Next Generation Intelligent Systems(ICNGIS 2022) based on ” A survey on deepfake video detection techniques using deeplearning”.
  10. Presented a paper in International Conference Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA), based on ” A Comparative Analysis and Study of a Fast Parallel CNN Based Deepfake Video Detection Model with Feature Selection (FPC-DFM),”
  11. Participated in the Induction Training Program for teachers jointly organised by ISTE Kerala Section and ISTE Chapter SJCET Palai at St.Joseph’s College of Engineering and Technology, Palai.
  12.  Participated in One Week FDP on “Deep Learning and its Applications “ Organised by Department of Computer Engineering in association with IEEE Pune section, IEEE Computer Society Pune Chapter and Computer Society of India student Chapter from 30 th June 2023 to 4 th Feb 2023 at MMCOE Pune.
  13.  Participated in the KTU Sponsored 5 days FDP on Blockchain Technology & Its Applications organised by the Department of Computer Science and Engineering, St. Joseph’s College of Engineering andTechnology, Palai from 16th to 20th January 2023.
  14.  Participated in the 5-Days International FDP on Unleashing Emerging Research Trends and Advancements in Computer Science 2.0, organised by School of Computer Science and Engineering, VIT-AP University, Amaravati from 24th July to 28th July 2023.
  15. Participated in the one day FDP on “ Outcome based Education for NBA Accreditation” organized by Department of Computer Science and Engineering of Eranad Knowledge City Technical Campus, Manjeri on 19 th August 2023.
  16. Participated in one week National Level FDP on Cloud Infrastructure (AWS) organized by Christ College of Engineering and Technology, Puducherry in collaboration with Brainovision Solutions India Pvt Ltd and AICTE, 21 -25 August 2023.
  17. Participated & completed AICTE Training And Learning (ATAL) Academy Faculty Development Program on Research Applications in Artificial Intelligence and Machine Learning at ST. JOSEPH’S COLLEGE OF ENGINEERING & TECHNOLOGY, PALAI from 08/01/2024 to 13/01/2024.
  18. Participated in 5days National Virtual FDP on “Integrating NEP 2020 into Higher Education: Strategies for Faculty Development and Curriculum Innovation” held from 02.09.2024 to 06.09.2024 organized by Department of Business Administration (UG) & Department of Commerce (IB), Hindusthan College of Arts & Science (Autonomous), Coimbatore-641028
  19. Participated & completed AICTE Training And Learning (ATAL) Academy Faculty Development Program on Artificial Intelligence in Data Science Applications at MUFFAKHAM JAH COLLEGE OF ENGINEERING AND TECHNOLOGY from 13/12/2024 to 19/12/2024.
  20. Participated in Five day Faculty Development Program (FDP) on “ NLP to LLM – THE PATHWAY TO INTELLIGENT COMPUTERS” organized by Department of CSE from 9/12/2025 to 13/12/2025 at College of Engineering Kidangoor
  21. Participated in International Symposium organized by SJCET Palai(Autonomus) in association with IISR,New Delhi held from Jan 2 to 4, 2025
  22. Participated in One week National Level FDP on AI Tools organized by St. Joseph’s College of Engineering in Chennai in association with Brainovision Solutions on 17th to 21st Feb 2025.
NoTitle
1Athirasree Das and L. Sebastian, "A Comparative Analysis and Study of a Fast Parallel CNN Based Deepfake Video Detection Model with Feature Selection (FPC-DFM)," 2023 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA), Ernakulam, India, 2023, pp. 1-9, doi: 10.1109/ACCTHPA57160.2023.10083340.
2Athirasree Das, Dr.K.S Angel Viji, Linda Sebastian, 2021, A Survey on Image and Video Super Resolution with Deep Learning Models, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH TECHNOLOGY (IJERT) NCREIS – 2021 (Volume 09 – Issue 13)
3Athirasree Das, Dr.K.S Angel Viji, Linda Sebastian, 2021, Using LapSRN (Image Resolution Deep Learning Model) with Transfer Learning, International Journal of Tele- communications Emerging Technologies NATCON (ISSN: 2455-0345 Vloume 8,Issue 1,2022)
4Athirasree Das, K. S. A. Viji and L. Sebastian, "A Survey on Deepfake Video Detection Techniques Using Deep Learning," 2022 Second International Conference on Next Generation Intelligent Systems (ICNGIS), Kottayam, India, 2022, pp. 1-4, doi: 10.1109/ICNGIS54955.2022.10079802.
5Athirasree Das, Joel Varghese, Muhammed Aadhil Thahir, Noel Roy, Vinny Elz Vincent,” FocusTrack: A Deep-Learning Based Method for Analysis of Students Attention” NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE FUTURE NCAISF’25(ISBN NO:978-93-342-2696-6)
6Athirasree Das, Akhil Sabu, Niketh A Unnithan, Mathew K Raino, Rogy Benni,” SIGNSYNC: Real-Time Sign Language Translation Using Advanced Deep Learning Models” NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE FUTURE NCAISF’25(ISBN NO:978-93-342-2696-6)
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