Sansrit Paudel

Sansrit Paudel

PhD Student in Computer Science

University of Rhode Island

Email: sansrit@uri.edu

About

I am a PhD student in Computer Science at the University of Rhode Island (URI), with a research focus on Human-computer Interaction (HCI), particularly accessible and inclusive design. Currently, I work as a graduate research assistant at the ASSET Lab at URI, where I apply digital signal processing and machine learning techniques on bio-signals to identify opioid use and medication states using real-world data.

Bio

Sansrit Paudel is a PhD student in computer science at the University of Rhode Island, advised by Prof. Krishna Venkatasubramanian. With a background in computer engineering, he brings prior professional experience that informs his research and was recognized as a world finalist in the Microsoft Imagine Cup 2021. Building on this foundation, his work integrates signal processing and machine learning techniques applied to biosignal data to address real-world challenges in opioid medication adherence, additionally he also works on the development of accessible virtual reality (VR) applications for adults with intellectual and developmental disabilities (I/DD).

News

Nov
2025
  • Promising first time winner, Hack@URI Mini HackDay (Google Gemini) - developed Claroma, a VR application for interactive exploration of human anatomy, and received the promising first time winner award.
Dec
2024
  • The Boston Globe featured the ASSET Lab’s work on using virtual reality to support adults with intellectual and developmental disabilities.
May
2021
  • Represented team Nepal at the Microsoft Imagine Cup World Finals 2021, where five teams from Asia were named among the top 12 finalists. Read the Microsoft news release .

Education

University Logo

University of Rhode Island

Aug 2024 – Present

Ph.D. Student in Computer Science

Research: accessibility, digital signal processing, applied machine learning for healthcare, human–computer interaction.

Selected coursework: software engineering, digital signal processing, machine learning, large language models, machine learning for science and society.

University Logo

Kathmandu University

2017 – 2022

B.E. in Computer Engineering

Selected Coursework: artificial intelligence, advanced calculus, compiler design, algorithms and complexity, engineering entrepreneurship, and more.

Ongoing Interdisciplinary, Collaborative Projects

Minder, signal processing and creating machine learning pipeline to evaluate medication adherance.

MINDER

Designing signal processing methods for physiological data analysis. Developing machine learning pipelines to evaluate medication adherence in real-world settings. Supporting clinical decision-making through data driven insights.

Open Courier

Accessible virtual reality

Working in a research lab to support the design and development of accessible virtual reality application for users with intellectual and developmental disabilities.

Publications

Environmental Satellite to Monitor Real-Time Environmental Parameter Changes in Response to Increased Climate Action

S. Paudel, A. Shrestha, A. Adhikari, S. Shrestha.

73rd International Astronautical Congress, Paris, France. (2022) | Link

Teaching Experience

CSC 301: Fundamentals of Programming Languages (Fall 2024)

Professor: Lutz Hamel

Mentored and supported 32+ undergraduate students by guiding them through foundational concepts in programming languages, including syntax, semantics, and problem-solving strategies.

Course Description

CSC 411: Computer Organization (Spring 2024)

Professor: Christian Esteves

Supported 28+ undergraduate students in understanding the logical structure of computer systems, including assembly language programming, processor organization, instruction sets, memory hierarchy, and virtual memory. Provided guidance on projects and assignments involving low-level programming and system-level concepts.

Course Description

Awards

Promising first time winner, Hack@URI Mini HackDay (Google Gemini - 2025)

Service

Chair, tech committee - graduate student association

Lead the committee’s technology planning and support for student events, including hybrid meeting, organizing hackthons and coordination with campus partners.