Admission

Amal Thomas K

amal.kakkassery@outlook.com
9995240866

Amal Thomas K

Assistant Professor

I am associated with the Royal College of Engineering and Technology, Thrisssur as an Assistant Professor from the Department of Artificial Intelligence and Data Science and Indian Institute of Information Technology Guwahati (IIITG) as a Part-time research scholar, working under VLSI & CAD lab from the dept. of Electronics & Communication Engineering. The broad area of my research work is related to Hardware Software Co-Efficient Designs for Deep Neural Networks Applications. The PhD thesis work is focused on Efficient Implementation Of CNN For Real-Time Computer Vision Applications.

Education

  • Pursuing PhD in Indian Institute of Information Technology Guwahati.
  • M.Tech from Indian Institute of Information Technology Guwahati.
  • B.Tech from University of Calicut.

Publications

Patent

  • Amal Thomas Kakkassery, Poddar, Soumyajit, and Prakash CRJ Naidu. "Method for real time surface tracking in unstructured environments." U.S. Patent 11,315,257. issued on April 26, 2022. (Granted)
  • Amal Thomas K, Ghosh, Mourina and Poddar, Soumyajit, "Approximate Reconfigurable Hardware Accelerator for Real Time Image Processing" Indian Patent . February, 2023. (Filed, Published in IPO Journal)
  • Poddar, Soumyajit, Amal Thomas Kakkassery, "A Portable Artificial Intelligence Based Rehabilitation System". Indian Patent No:36/2019. Patent no: 201931032853. (Filed, Published in IPO Journal)

Conference

  • S. P. Kaarmukilan, S. Poddar and A. Thomas K., "FPGA based Deep Learning Models for Object Detection and Recognition Comparison of Object Detection Comparison of object detection models using FPGA," 2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, 2020, pp. 474, doi: 10.1109/ICCMC48092.2020.ICCMC-00088.
  • S. P. Kaarmukilan, A. Hazarika, A. Thomas K., S. Poddar and H. Rahaman, "An Accelerated Prototype with Movidius Neural Compute Stick for Real-Time Object Detection," 2020 International Symposium on Devices, Circuits and Systems (ISDCS), Howrah, India, 2020, pp. 1-5, doi: 10.1109/ISDCS49393.2020.9262996.
  • Amal Thomas, K., S. P. Kaarmukilan, Sucheta Biswas, and Soumyajit Poddar. "An efficient region of interest detection and segmentation in mri images using optimal anfis network." In Proceedings of International Conference on Frontiers in Computing and Systems: COMSYS 2020, pp. 533-544. Springer Singapore, 2021.
  • Amal Thomas. K, K. S.P, S. Poddar and H. Rahaman, "FPGA based Structural Radial Basis Function Neural Network with Hybrid Optimization for Neural Activity," 2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), Prayagraj, India, 2020, pp. 1-6, doi: 10.1109/UPCON50219.2020.9376506.
  • Poddar, Soumyajit, K. Amal Thomas, and Gaurav Kumar. "Design of Hardware Accelerators for Fractal based Machine Learning Applications." In 2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS), pp. 71-74. IEEE, 2020.
  • Basab Bijoy Purkayastha, Anakhi Hazarika, Amal Thomas K, and Soumyajit Poddar. Cardiac "Anomaly Detection using Embedded Attractors Reconstructed from Multichannel ECG" In 9th ACM International Conference on Biomedical and Bioinformatics Engineering (ICBBE 2022) (Accepted)

Journal

  • Thomas K, Amal, Soumyajit Poddar, and Hemanta Kumar Mondal. "A CNN Hardware Accelerator Using Triangle-based Convolution." ACM Journal on Emerging Technologies in Computing Systems (JETC) 18, no. 4 (2022): 1-23.
  • Prasenjit Maji, Hemanta Kumar Mondal, Amal Thomas K, Soumyajit Poddar "HPCNoC: Performance-aware Network-on-Chip using Machine Learning for High Performance Computing". IEEE Transactions on Very Large Scale Integration Systems (Communicated)

Book Chapter

  • Amal Thomas K, Soumyajit Poddar, Mourina Ghosh, "A Realtime Object Detection for Unmanned Underwater Vehicles using Movidius Neural Compute Stick" ISCTE-2023. (Accepted)
  • Muralee Thummarukudy. "Coronakkalathe Veedu". DC Books, ISBN : 9789353909154. Page: 117-119. Publisher: CURRENT BOOKS. (It's a Non-Technical Book)

Awards

  • AEmpowerment and Equity Opportunities for Excellence in Science (EMEQ), SERB Fellowship for pursuing PhD. Issued by DST, Government of India.
  • NSS Volunteer Certificate for completion two year of tenure with 240 hours of satisfactory service from 2014 to 2016 in the National Service Scheme Activities.
  • Participated in Kerala State Inter District Championship 2012 and secured Third price in Rappelling.

Skills

Xilinx Vivado 2020.4, Matlab, Ansys PowerArtist, LATEX, Edsim51100%
Operating System: Linux, Windows, Cent OS100%
Programming Language: Python, Verilog, C100%