Designation: Asst. Professor
Qualification: M.TECH and pursuing Ph D
Email-id: [email protected]
Experience:9 yrs
S.No | Title of Paper/Journal/ Conference | Date |
1 | Apprehension of Sleep Apnea in Aged and Infants, International Conference on Electrical, Electronics, and Communication Technology (ICEECT -2020), Sep 15 – 17, 2020, Coimbatore, INDIA | 2020 |
2 | Accident Notification Ingenious Helmet System, International Multi-Conference on Computing, Communication, Electrical and Nanotechnology (I2CN-2K19), Mangalam College of Engineering, Ettumanoor, Kottayam, 26th April 2019. | 2019 |
3 | Two-wheeler safety using adept helmet system, National Conference on Recent Advances in Electrical and Electronics Engineering NCREEE19,Mar Baselios Christian College of Engineering and Technology, Kuttikanam, Kerala, 27th April 2019 Conference-NCREEE19. | 2019 |
4 | Analysis of adaptive puncturing schemes for OFDMA system in the multi-cell scenario, International Conference on Communications and Signal Processing,Publisher: IEEE Publication date: 2011/2/10 | 2011 |
5 | Hima Vijayan, Abdul Rahiman, and Lizy Abraham. “A review on the impact of deep learning in the identification of atrial septal defect and a comparative study on the algorithms employed in the imaging modalities.” Journal of Pharmaceutical Negative Results (2022): 1922-1930. (Scopus) | 2022 |
6 | Hima Vijayan, S. Reshma, R. Sathyanjan, and Vaishnavi Geetha. “Integrating deep learning architectures for improved arrhythmia detection in electrocardiogram signals.” (2023). International Journal of Science and Research Archive | 2023 |
7 | Hima Vijayan, Abdul Rahiman, and Lizy Abraham. Harnessing Ternausnet for the segmentaion of heart from Chest X-ray for the recognition of atrial septal defect” , 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT) (IEEE Xplore) | 2023 |
8 | Akshay S, Hima Vijayan, “Deep learning-based stress identification in children: Unraveling Physiological Patterns” Vol 12, Issue 1, Jan 2024 | 2024 |
9 | Project Proposal: entitled “Deep learning approaches for the recognition of atrial septal defect from ECG” for Engineering Technology Programme under Kerala State Council for Science, Technology and Environment (KSCSTE) got selected for final level and is under review. Journal Reviewer : Journal on Digital Imaging (Springer) | 2024 |