Dilruba Showkat (she/her)
Ph.D. Candidate
Northeastern University
Boston, MA, USA
BIO
I am a Ph.D. Candidate in the Khoury College of Computer Sciences at Northeastern University. I am advised by Professor Alexandra To. My research spans
the intersection of HCI, Value-sensitive design, and Human-centered Artificial Intelligence (HCAI). Currently, I am focusing on contributing to AI/ML literacy and value-sensitive algorithm design for low-income individuals in the USA. I am deeply passionate about making AI/ML knowledge more
consumable for everyone. My work has been published in premier HCI venues including ACM CHI, ACM CSCW, and ACM DIS. Previously, I worked as a
lecturer in the CSE department, at BRAC University, Dhaka, Bangladesh. I completed my B.Sc. and M.S. in CSE from the University of Dhaka, Bangladesh. I also received a second M.S. degree in CS from Oregon State University. I love doing service work; for example, sometimes on the weekends, I am probably doing service work (e.g., reviewing, attending talks, admission committees). I have reviewed over 80 conference and journal papers in premier HCI venues. In my free time, I like taking nature photographs.
NEWS
RESEARCH INTERESTS
- Human-Computer Interaction (HCI)
- Value Sensitive Design (VSD)
- Human-centered Artificial Inteligence (HCAI)
EDUCATION
Ph.D. Candidate
Graduate Assistant (Fall 2021 - present)
Khoury College of Computer Sciences
Northeastern University, Boston, MA, USA
Thesis Advisor: Prof. Alexandra To
Masters (M.S.) in Computer Science (Summer 2017)
Oregon State University, Corvallis, Oregon, USA
Masters (M.S.) in Computer Science and Engineering (2012)
University of Dhaka, Dhaka, Bangladesh
Bachelor of Science (B.Sc.) in Computer Science and Engineering (2010)
University of Dhaka, Dhaka, Bangladesh
HONORS AND AWARDS
- Nominated by Northeastern Khoury College Graduate School for Outstanding PhD student award (2024).
- ACM DIS 2023 - Best Paper Award.
- Nominated by Northeastern Khoury College Graduate School for Google PhD Fellowship (2022).
- Recipient of the Computing Research Association for Women (CRA-WP) Grad Cohort for Women scholarship (2020).
- Full tuition assistantship, Oregon State University (2015).
- Received Ruqayyah Hall provost award (2010).
- Dhaka University scholarship for outstanding performance in B.Sc (2007).
SELECTED RESEARCH PUBLICATIONS
Peer-Reviewed Journal and Conference Papers
- Dilruba Showkat, Angela D. R. Smith, Lingqing Wang, Alexandra To, “Who is the right homeless
client?”: Values in Algorithmic Homelessness Service Provision and Machine Learning Research.”, In
Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), 21 pages, 2023. https://doi.org/10.1145/3544548.3581010
- Alexandra To, Angela D. R. Smith, Dilruba Showkat, Adinawa Adjagbodjou, Christina Harrington, “Flourishing in the Everyday: Moving Beyond Damage-Centered Design in HCI for BIPOC Communities.”, In Proceedings of the ACM Conference on Designing Interactive Systems Conference (DIS’23),
21 pages, 2023. https://doi.org/10.1145/3563657.3596057
- Dilruba Showkat, Eric P. S. Baumer, “It’s Like the Value System in the Loop”: Domain Experts’
Values Expectations for NLP Automation.”, In Proceedings of the ACM Conference on Designing
Interactive Systems (DIS), 100-122, 2022. https://dl.acm.org/doi/10.1145/3532106.3533483
- Dilruba Showkat, Eric P. S. Baumer, “Where Do Stories Come From? Examining the Exploration
Process in Investigative Data Journalism.”, In Proceedings of the ACM on Human-Computer Interac-
tion, 5(CSCW2), 1-31, 2021. https://dl.acm.org/doi/10.1145/3479534
- Dilruba Showkat, Cindy Grimm, “Identifying Gender Differences in Information Processing Style,
Self-efficacy, and Tinkering for Robot Tele-operation.”, in the 15th International Conference on Ubiq-
uitous Robots (UR), Hawaii, USA, 2018. https://ieeexplore.ieee.org/document/8441766
Extended Abstracts
- Dilruba Showkat. (2024, May). “Towards Algorithmic Reform: Low-Income Individuals Inclusion in AI/ML Literacy and Ethical Values-Informed Tool Design”. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (pp. 1-6). https://dl.acm.org/doi/full/10.1145/3613905.3651127
- Laveda Chan, Showkat, Dilruba, & Alexandra To (2024, May). “An Exploration of Learned Values Through Lived Experiences to Design for BIPOC Students’ Flourishing”. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (pp. 1-7). https://dl.acm.org/doi/abs/10.1145/3613905.3650899
- Dilruba Showkat, “Determining Newcomers Barrier in Software Development: An IT Industry
Based Investigation.”, in the 21st ACM Computer-Supported Cooperative Work and Social Computing
(CSCW), Jersey City, NY, USA, 2018. https://dl.acm.org/doi/10.1145/3311957.3359467
Workshop
- Dilruba Showkat, Shereen Bellamy, Alexandra To, “Fair and Trustworthy Welfare Systems: Re-
thinking Explainable AI in the Public Sector”, in ACM Conference on Human Factors in Computing
Systems (CHI) workshop, 2022. https://www.researchgate.net/publication/360396692_Fair_and_Trustworthy_Welfare_Systems_Rethinking_Explainable_AI_in_the_Public_Sector
- Dilruba Showkat, “Supporting Responsible Data and Algorithmic Practices in The News Media”, in ACM Intelligent User Interfaces (IUI) workshop, 2022. http://ceur-ws.org/Vol-3124/paper18.pdf
- Dilruba Showkat, “Tinkering: A Way Towards Designing Transparent Algorithmic User Interfaces.”, in ACM Intelligent User Interfaces (IUI) workshop, 2021. http://ceur-ws.org/Vol-2903/IUI21WS-HUMANIZE-5.pdf
- Dilruba Showkat, Eric P. S. Baumer, “Outliers: More than Numbers?.”, in the 23nd ACM Computer-
Supported Cooperative Work and Social Computing (CSCW) workshop (Virtually held), 2020. https://www.researchgate.net/publication/345774805_Outliers_More_Than_Numbers
SELECTED RESEARCH PROJECTS
- Understanding Students Perception of Automated Job Hiring Algorithms (AHA) - Northeastern University. (Fall 2022). Advisor: Varun Mishra
Designing an online survey investigating students’ perceptions of AHA. Statistical analysis (e.g., Spearman correlation) showed media efficacy was positively correlated (p-value = 0.01383*) with AHA awareness.
MANOVA showed students’ educational level and gender were a strong predictor of AHA awareness
across STEM and non-STEM majors.
- Investigating Supervised Classification on Stress Recognition: The Case of SWELL-KW
Dataset - Northeastern University. (Spring 2022). Advisor: Ehsan Elhamifar
Experimenting with various ML algorithms (e.g., KNN with RBF kernel, DNN) on stress recognition
dataset. Identified five optimal sets of parameters for stress recognition through cross-validation, which
produced similar results compared to the original feature set (50 parameters).
- Usability Evaluation of a Transformational Game - Northeastern University. (Fall 2021).
Advisor: Timothy Beckhmore
Designing a mixed-method experimental study. The game’s purpose is to help someone become an ally when someone experiencing gender microaggression. Findings indicate that the proposed evaluation method informed by the game’s central and supporting transformational goals (e.g., motivation, self-efficacy) efficiently captured the desired change in the player.
- The Application of ML/DL Algorithms on Various Dataset(s) - Lehigh University. (Spring
2021). Advisor: Lifang He
Experimenting with ML algorithms (KNN, SVM, CNN) on publicly available datasets (e.g., MNIST).
Using cross-validation, KNN/SVM achieved on average 72% accuracy on the cho/iyer tabular dataset, whereas, CNN outperformed KNN/SVM on the MNIST image dataset (i.e., 98% accuracy).
TEACHING
- Lecturer
BRAC University (Spring 2018 - Summer 2019)
Department of Computer Science and Engineering
Dhaka, Bangladesh
- Graduate Teaching Assistant (GTA)
Oregon State University (Fall 2015 - Summer 2017)
Department of Computer Science
Corvallis, OR, USA
- Lecturer
BRAC University (Fall 2011 - Summer 2015)
Department of Computer Science and Engineering
Dhaka, Bangladesh
Courses Taught
- CSE 101 Introduction to Computer Science
- CSE 161/CSE 110 Computer Programming
- CSE 330 Numerical Methods
- CSE 420 Compiler Design
MENTORING EXPERIENCE
I am fortunate to have worked with amazing undergraduate and graduate students during my PhD at Northeastern.
- Lingqing Wang (Industrial Engineering, Tsinghua University) –> Current PhD student (Georgia Tech, Fall 2023)
- Laveda Chan (Cell and Molecular Biology, Northeastern University) –> Dental College (UPen, Incoming Fall 2024)
- Devina Raithatha (CS, Northeastern University) –> Product Management (Oracle, Fall 2022)
SERVICE EXPERIENCE
Conference Paper Reviewer:
- ACM CSCW: 2020-2025
- ACM CHI: 2023-2025
- ACM DIS: 2022-2024
- ACM IUI: 2022-2025
- ACM CC: 2022-2025
Program Committee Member:
- PhD Applications Review (2022, 2023) - Northeastern University
- Faculty Hiring (2023, 2024) - Northeastern University
- ACM ICMI 2023
- ACM IUI 2023
- Review Committee member in the HCI Track at the Grace Hopper Conference (GHC): 2019, 2020, 2021