Prof. Athirasree Das
Assistant Professor
Department of Computer Science & Engineering
Mobile Number: +91 9778359463
Email: athirasreedas@sjcetpalai.ac.in
| Degree | Specialization | Institution | University | Year of Passing |
|---|---|---|---|---|
| B.Tech. | Computer Science and Engineering | College of Engineering Kidangoor | CUSAT | 2019 |
| M.Tech. | Computer and Information Science | College of Engineering Kidangoor | KTU | 2022 |
| Name of the College/Industry | Designation | Date of Joining | Date of Relieving |
|---|---|---|---|
| Tech Mahindra | Associate | 18-05-2018 | 26-09-2019 |
- Participated in Webinar on ”Fundamentals of Blockchain” organized by Computer Society of IEEE SB in College of Engineering Munnar.
- Faculty Development Programme on ”Exploring Image Processing and Computer visionusing python” organized by Department of CSE, College of Engineering Kidangoor.
- Faculty Development Programme on ”Data Analytics – A hands on Experience” organized by Department of CSE, College of Engineering Kidangoor.
- Workshop on ”IoT with Raspberry Pi” organized by Pantech,Ernakulam.
- Participated in Seminar and Workshop on ”Emerging Technologies in open source -Cloud” conducted by ipsr solutions ltd
- Participated and Presented a paper in National Conference based on ”A brief study on Cloud Computing” in 2016.
- Participated and Presented a paper in National Conference based on ”A survey on image and video super resolution with deep learning models ” in 2021.
- Presented a paper in National Conference based on ” An image super resolution deeplearning model LapSRN with transfer learning” in 2021.
- Presented a paper in International Conference on Next Generation Intelligent Systems(ICNGIS 2022) based on ” A survey on deepfake video detection techniques using deeplearning”.
- 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),”
- 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.
- 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.
- 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.
- 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.
| No | Title |
|---|---|
| 1 | Athirasree 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. |
| 2 | Athirasree 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) |
| 3 | Athirasree 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) |
| 4 | Athirasree 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. |
