Ariful Islam Anik

Hi! I am a graduate student doing my PhD in Computer Science in the Department of Computer Science at the University of Manitoba, Winnipeg, Canada. I completed my MSc in the same department in Fall 2020. I am working as a research assistant at the Human-Computer Interaction Lab under the supervision of Professor Dr. Andrea Bunt.

My research interests are in the areas of human-computer interaction and human-centered AI. I am interested to work with explainable AI systems, designing and personalizing explanations, and study the factors that impact the perception of AI explanations. Currently, I am doing research on studying explanations that focus on training data and how they can impact end-users' perception of machine learning systems.

I completed my Bachelor of Science degree in Computer Science and Engineering in 2016 at the Islamic University of Technology, Gazipur, Dhaka, Bangladesh.

Publications

Understanding and Mitigating the Negative Consequences of Training Dataset Explanations

Ariful Islam Anik, Andrea Bunt

ACM CHI 2023 Workshop on Human-Centered Explainable AI (HCXAI), Apr 28 - 29, 2023

Data-Centric Explanations: Explaining Training Data of Machine Learning Systems to Promote Transparency

Ariful Islam Anik, Andrea Bunt

CHI '21, Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, New York, NY, USA, 2021

Investigating Explanations that Target Training Data

Ariful Islam Anik, Andrea Bunt

Joint Proceedings of the ACM IUI 2021 Workshops, 2021

Activity recognition of a badminton game through accelerometer and gyroscope

Ariful Islam Anik, Mehedi Hassan, Hasan Mahmud, Md. Kamrul Hasan

2016 19th International Conference on Computer and Information Technology (ICCIT), IEEE, 2016, pp. 213-217

Projects

Data-Centric Explanations: Explaining Training Data of Machine Learning Systems to Promote Transparency

Research topic for the MSc degree at University of Manitoba

Courses

Computational Geometry

Graduate course taken at the University of Manitoba (Fall 2021, Dr. Stephane Durocher)

An advanced course in theoretical computer science that provides a graduate-level introduction to the field of computational geometry for students with a strong undergraduate foundation in algorithms and data structures.

CS Education Research and EdTech Innovations for CS

Graduate course taken at the University of Manitoba (Winter 2021, Dr. Celine Latulipe)

A graduate level seminar course on the topic of computer science education and educational technology use in post-secondary CS

Advanced Topics in Mobile HCI and Ubiquitous Computing

Graduate course taken at the University of Manitoba (Winter 2021, Dr. Pourang Irani)

Introduction to advanced issues in the field of Mobile and Ubiquitous Computing. Topics will be selected from current research and development in the field of HCI.

Data-Driven Software Engineering

Graduate course taken at the University of Manitoba (Fall 2020, Dr. Shaowei Wang)

Introduction to research in data-driven software engineering (SE), discussing the challenges associated with data-driven SE, highlights data-driven SE success stories, and outlines future research directions.

Advanced Human-Robot Interaction

Graduate course taken at the University of Manitoba (Winter 2019, Dr. James Young)

Introduction to social robotics and state-of-the-art research works in the area.

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