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Vedant Bahel

Data Scientist + Product Designing

University of British Columbia, Vancouver



Google Scholar Publication

I'm a first-year masters student at University of British Columbia, Vancouver. I study MSc in Computer Science with my interest in Machine Learning and Human-Computer Interaction. Find my design portfolio here.

Graduate Research Assistant, Human-AI Lab, UBC-CS.
March 2023 - Present

Project: Currently working on student's affect while intereacting with Explainable AI based Intelligent Tutoring System.
Associate: Harshinee Sriram
Supervisor: Dr. Cristina Conati
Lab Webpage: http://hai.cs.ubc.ca

Graduate Teaching Assistant (ML), University of British Columbia, Canada
September 2022 - April 2023

Course: CPSC 340: Machine Learning; CPSC 330: Applied Machine Learning
Task Includes: :
- Taking weekly tutorials and office hours
- Grading

Research Partner (HCI & Data), Penn Center for Learning Analytics , University of Pennsylvania, USA
May 2020 - March 2022

Latest Project :
Persistence and affect relation in ASSISTments students data.
Associates : Dr. Ryan Baker, Dr. Seth Adjei & Dr. Anthony Botellho

Research Intern (NLP), EdTeKLA Lab (University of Alberta), AB, Canada
September 2021 - December 2021

Project : Modelling and Analysis of Tier-3 CS Vocabulary Usage

Supervisor : Dr. Carrie Demmans Epp

Research Assistant (Data & Optimization), Universite Laval, QC, Canada (MITCAS GRI Funded)
May 2021 - August 2021

Project : A Machine Learning Approach to Optimization Problems Streamlining for Surveillance and Search Operations.

Supervisor : Dr. Michael Morin

Opportunity Strikes Every Time | Vedant Bahel | TEDxYouth@LakeManalapan

Invest in your 20s by Vedant Bahel at IIIT Kalyani, India

Conference Papers

Bahel, Vedant, Ryan S. Baker, and Seth A.Adjei. "Transferring an existing gaming detection model to different system using semi-supervised approach." Workshop for Undergraduates in Educational Data Mining and Learning Engineering at 14th Educational Data Mining Conference, 2021.

Adjei, Seth A., Ryan S. Baker, and Vedant Bahel. "Seven-Year Longitudinal Implications of Wheel Spinning and Productive Persistence." International Conference on Artificial Intelligence in Education. Springer, 2021.

Bahel, Vedant, Sofia Pillai, and Manit Malhotra. "A Comparative Study on Various Binary Classification Algorithms and their Improved Variant for Optimal Performance." 2020 IEEE Region 10 Symposium (TENSYMP). IEEE, 2020.


Python Programming Projects with GUI for Beginners (Designed for Indian High School Curriculum) By Vedant Bahel & Reema Thareja
[Google Books]