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General Information
Full Name | Mithunjha Anandakumar |
Date of Birth | 5th January 1998 |
Languages | English, Tamil, Sinhala |
Education
- 2018 - 2022
BSc. Engineering (Hons) in Biomedical Engineering
University of Moratuwa, Sri Lanka
- First Class Honours with 3.98 CGPA (out of 4.2)
- Included in Dean’s Honors List in for 7 semesters
- Notable Coursework
- Bio signal processing, Medical image processing, Biotechnology, Advances in Machine vision, Data Structures & algorithms, Fundamentals of computer organization & design, Applied statistic, and Neural networks & fuzzy logic
Experience
- Jul 2022 - present
Post Baccalaureate Fellow
Faculty of Arts and Sciences, Harvard University
- Sep 2021 - Jul 2022
Remote Undergraduate Researcher
Wadduwage Lab, Center for Advanced Imaging, Harvard University
- Oct 2020 - Mar 2021
Remote Undergraduate Researcher
Advanced Research Center, Zone 24x7 (pvt) Ltd
- Jul 2019
Research Intern
Centre for Biomedical Innovation, University of Moratuwa
Honors and Awards
-
International Awards and Honors
- Second Runners up at Video and Image Processing Cup (2021) at IEEE ICIP conference
- IEEE SMC Winners at BR41N.IO Hackathon (2020) at IEEE SMC conference
-
National Awards and Honors
- Second Runners-up of Data Storm v2.0 (2021) Sri Lanka's premier advanced analytics competition
- Champions of Brainstorm (2019), Sri Lanka's premier biomedical engineering design competition
- Champions of Mora ventures 5.0 (2019), organized by University of Moratuwa
- Champions of SLIoT hackathon (2019), Sri Lanka's premier IoT design competition
- Runners-up of HackX Start-up competition (2019) organized by University of Kelaniya
- Runners-up of IEEE innovation nation (2019) organized by IEEE Sri lankan section
MOOCs
- Machine Learning* by Stanford University
- AI for Medicine*, a 3-course specialization by deeplearning.ai
- Tensorflow in practice*, a 4-course specialization by deeplearning.ai
- Neural Networks and Deep Learning* by deeplearning.ai
- Introduction to genomics technologies* by Johns Hopkins University
Academic Interests
-
AI for Healthcare.
- Deep Learning, Machine Learning, Computer Vision.
- Medical Image processing, Signal Processing, Bioinformatics.