Teaching & Service

Academic Service

Organizing Committee
2024 CHI Chair Assistant
2023 CHI Chair Assistant

Workshop Organizer
2023 WIPS Workshop on Inclusive Privacy and Security, SOUPS 2023
2022 WIPS Workshop on Inclusive Privacy and Security, SOUPS 2022

Session Chair
SOUPS Workshop on Inclusive Privacy and Security 2023 on Understudied & Innovative Session

Conference Reviewer
ACM CHI (2021-2024), ACM CSCW (2021-2024), IMWUT (2023), ACM DIS (2023), ACM MobileHCI (2023), ACM COMPASS (2023)
Received “special recognitions” for outstanding reviews for ACM CSCW 2022, ACM CHI 2023, ACM CHI 2023 Late Breaking Work, IMWUT 2023, CSCW 2024

Journal Reviewer
IEEE Transactions on Dependable and Secure Computing (2022-2023), IEEE Access (2022)

Community Service
Co-Chair, ACM-W UIUC chapter (2021-2022)
Privacy Testing, Safer Illinois App, UIUC, 2020
MOOC Classes for Underserved Community in Bangladesh of 7k+ Students (2019-now)


Invited Guest Lectures


Evaluation Method of User Data Fall 2023

IS 236A: User Research & Evaluation
Host: Yang Wang
University of Illinois at Urbana Champaign, School of Information Sciences

Method for Designing & Prototyping Fall 2023
IS 226: Introduction to HCI
Host: Yun Huang
University of Illinois at Urbana Champaign, School of Information Science

DAO as Blockchain Governance Spring 2022
ECE 598: Principle of Blockchain
Host: Pramod Viswanath
University of Illinois at Urbana Champaign, Department of Electrical and Computer Engineering
Practice of Decentralized Autonomous Organizations Spring 2022

IS 400: Research Colloquium
Host: Ted Underwood
University of Illinois at Urbana Champaign, School of Information Sciences

Teaching Assistant



TA-ed Spring 2020: Python for Data Science INFO-490
Python programming language within the context of solving data driven problems (i.e. Data Science). It includes process and extract information from data programmatically (i.e. not using a GUI-driven program like Excel, Numbers, SPSS, etc).
TA-ed Fall 2019: Introduction to Data Science IS-457
Data science approaches that have emerged from recent advances in programming and computing technology. Collecting and using data from a variety of sources, including the web, in a modern statistical inference and visualization paradigm. Course was based in the programming language R, HTML, regular expressions, basic Unix tools, XML, and SQL. Supervised and unsupervised statistical learning techniques have been covered.
TA-ed: Operating system COSC 3306/6310
Helped student in their assignment to understand process/task/thread management, scheduling, deadlock-handling, memory management, file systems, networking, security issues, and embedded/real-time operating systems (RTOS). Also conducted Lab assignments to introduce Unix/Linux as well as Wind River VxWorks RTOS
TA-ed: Computer Network COSC 4377
Helped student to carry on their projects to design and implement networked applications and services.