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Selection Criteria

Pirathishanth Arudchelvan is a second-year Biomedical Engineering student with a CGPA of 3.68, recognized for academic excellence and ranked 89th in a national examination. He has experience in research projects involving bio-signal processing and machine learning, showcasing strong communication skills and proficiency in various programming languages and tools. His commitment to biomedical research and innovation is evident through his self-initiated projects and collaborative work in engineering groups.

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13 views2 pages

Selection Criteria

Pirathishanth Arudchelvan is a second-year Biomedical Engineering student with a CGPA of 3.68, recognized for academic excellence and ranked 89th in a national examination. He has experience in research projects involving bio-signal processing and machine learning, showcasing strong communication skills and proficiency in various programming languages and tools. His commitment to biomedical research and innovation is evident through his self-initiated projects and collaborative work in engineering groups.

Uploaded by

Arudchelvan Pirathishanth
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as PDF, TXT or read online on Scribd
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Statement Addressing the Selection Criteria

Pirathishanth Arudchelvan
July 9, 2025

1. Demonstrated academic excellence in a relevant


field
As a second-year undergraduate student in Biomedical Engineering at the University of
Moratuwa, I have consistently maintained a high academic standard with a CGPA of
3.68/4.00. I was placed on the Dean’s List in my first semester and ranked 89th island-
wide in the G.C.E. Advanced Level Examination out of over 35,000 students.

2. Experience in research and technical projects


I have engaged in multiple research-oriented projects that combine bio-signal processing,
machine learning, and physiological modeling. These include:
• Muscle cramp detection system — integrating EMG, temperature, and StO sensors
for early detection of muscle cramps.
• Human lung function measurement device — developed using SolidWorks and
Flutter, currently in clinical validation.
• Physiological system simulations — implemented compartmental models using
MATLAB, Python, and CircAdapt for cardiac and respiratory analysis.

3. Strong written and verbal communication skills


My ability to communicate technical ideas is evidenced by my project documentation,
GitHub repositories, and ongoing contributions to student-led engineering groups. I regu-
larly collaborate and present in team settings and have contributed to event coordination
and web content as a member of IEEE EMBS and the Tamil Literary Association.

4. Proficiency with relevant tools and programming


languages
I am proficient in Python, C++, Java, and JavaScript. I have used Altium Designer for
PCB design, SolidWorks for mechanical prototyping, and MATLAB for simulation. I have
also built full-stack web applications using React and Spring Boot, which demonstrates
versatility in both software and hardware domains.

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5. Capacity to work independently and collabora-
tively
Many of my projects have been self-initiated and required me to independently research,
design, and implement complex systems. At the same time, I have thrived in collaborative
environments, including hackathons, group assignments, and volunteer committees. I
value feedback, manage tasks efficiently, and adapt well to group dynamics.

6. Interest in biomedical research and commitment to


innovation
My research interests lie in human-computer interaction, physiological modeling, and bio-
signal processing. I am passionate about applying machine learning and AI to healthcare
challenges. Through every project I undertake, I aim to bridge theory with real-world
impact and contribute meaningfully to patient-centric innovations.

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