Hi, I am Bijin Elsa Baby. I am a research scholar of Dept. of Data Science, IIT Palakkad. My area of interests include Computer Vision, Artificial Intelligence and Embedded Systems. My present research work focuses on an in-depth study of different optimization techniques at software/hardware levels and come up with a solution to make the real-time embedded vision applications energy efficient.
Email: 112114006@smail.iitpkd.ac.in
Ongoing Research
Software Hardware Approach for Ultra-Low Power Embedded Vision
Deep Neural Networks (DNNs) have become highly popular choice for embedded vision applications because of the accuracy and versatility. In addition to the end node inference, incremental learning or continual learning are getting popular for the vision hardware due to online learning capabilities. Although a high number of research has been carried out to optimize DNN models, executing DNN models for both inference and learning on the edge devices is still a major challenge due to power hungry heavy computation and memory bandwidth requirements. The focus of this research is to propose novel software-hardware approaches for ultra low power DNN inference and edge learning deployment in vision end nodes.
Publications
1
Baby, B. E., & Chandran, G. J. (2022). Digital Health Infrastructure. In Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications (pp. 701-714). Springer, Singapore. (Cited in WHO COVID-19 Global Research Database; ID: covidwho-16697550)
2
Baby, B. E., Kadam, S. B., & Aravindhan, A. (2020). Human health monitoring system using internet of wearable things. In Emerging Technologies for Sustainability (pp. 253-259). CRC Press.
Poster Presentation
Baby, B. E. & Das, S. On-Board Hyperspectral Image Processing. Poster presented at 2021 ACM Europe Summer School on HPC Computer Architectures for AI and Dedicated Applications; 30 Aug - 3 Sep 2021; Barcelona, Spain.
Certifications
MongoDB Basics, MongoDB, Inc. Issued Date: 29/01/2019
Realizing Secure Applications, Infosys
Issued Date:21/02/2018
Infosys Certified BigData Hbase Developer
Issued Date: 21/02/2018
Infosys Global Agile Developer
Issued Date: 21/02/2018
Work Experience
NPTEL
Teaching Assistant
July 2022 - Oct 2022
Course: Applied Accelerated
Artificial Intelligence
Code: noc22-cs83
IIT Palakkad
Junior Research Fellow
Feb 2021 - Jul 2021
Mentor: Dr. Satyajit Das
Project:
Energy-Efficient
Reconfigurable
Accelerator for
Real Time Vision Systems.
IIT Palakkad
Summer Research Fellow
May 2019 - Jun 2019
Mentor: Dr. Vivek Chaturvedi
Project:
Energy Efficiency in
Internet of Things.
Infosys, Mysore
Systems Engineer
May 2016 - May 2018
Role: Big Data Developer
Clients: SunTrust, ABN AMRO
Education
PhD Aug 2021 (Pursuing)
Indian Institute of Technology, Palakkad
CGPA: 9.42 / 10
Dr. Satyajit Das
Assistant Professor
Dept. of Data Science
IIT Palakkad
Homepage
M.Tech Aug 2018 - Aug 2020
Saintgits College of Engineering, Kottayam
Specialization: VLSI & Embedded Systems
CGPA: 9.29 / 10
B.Tech July 2012 - June 2016
Karunya University, Coimbatore Electronics & Communication Engineering
CGPA: 9.34 / 10
Professional
Affiliations
&
Positions
Held
PhD Representative of MAGIC Research Cluster for AI at IIT Palakkad
2022 - Present
ACM
Student Member
ID: 5409980
2021-2022
Student Representative in Karunya University Planning & Monitoring Board
2015-2016
Coordinator of Karunya University Aqua Club
2013-2014
IEEE & IEEE SSCS, Kerala Section
IEEE SSCS Saintgits Student Chapter Vice Chair
ID: 95485971
2019-2020
Notable Achievements
Due
May 16, 2025
01
Prime Minister’s Research Fellowship (PMRF May 2022 lateral entry scheme)
02
Highest GPA in the college for 1st & 2nd semester M.Tech VLSI & Embedded Systems Degree examinations
03
University second rank holder in Electronics & Communication in the year 2016.