Appointments

  • CU Boulder, Boulder, CO, USA, 09/2025 – Present
    Postdoctoral Researcher, Supervisors: Dr. Leanne Hirshfield, Dr. Chad Tossell

  • xAI, Burlingame, CA, USA, 11/2024 – 09/2025
    Human Data STEM Specialist

  • Keywords Studios, Bothell, WA, USA, 05/2024 – 07/2024
    Human Data Manager Intern

  • University of Tennessee Knoxville, Knoxville, TN, USA, 08/2020 – 08/2024
    Research Assistant, Advisor: Dr. Scott Ruoti

  • Google Research, Mountain View, CA, USA, 08/2022 – 05/2023
    Research Intern, Host: Dr. Praveen Paritosh, Ravi Raja Kumar

  • University of Memphis, Memphis, TN, USA, 08/2017 – 05/2020
    Research Assistant, Advisor: Dr. Kan Yang

  • Jadavpur University, West Bengal, India, 11/2016 – 07/2017
    Research Assistant, Advisor: Dr. Mridul Sankar Barik

Awards and Honors

  • Graduate Student Senate Award for Excellence in Graduate Research, University of Tennessee, 2024
    Awarded in recognition of outstanding research contributions at the graduate level across disciplines.

  • Yates Dissertation Fellowship, University of Tennessee, 2023
    Highly competitive fellowship supporting promising dissertation work in computing and HCI.

  • Featured in University of Tennessee Newsletter, University of Tennessee, 2022
    Recognized for doctoral research highlighting challenges and opportunities in crowdwork platforms.

Education

  • Ph.D., Computer Science
    Department of Electrical Engineering and Computer Science, University of Tennessee, 2020 – 2024
    Advisor: Dr. Scott Ruoti
    Thesis: Understanding Traits to Support Crowdworkers' Flexibility
    Thesis Committee: Dr. Scott Ruoti, Dr. Alex Williams, Dr. Anastasia Kuzminykh, Dr. Audris Mockus

  • M.S., Computer Science
    Department of Computer Science, University of Memphis, 2017 – 2020
    Advisor: Dr. Kan Yang
    Thesis: Enabling Efficient and Privacy-Preserving Task Matching

  • B.S., Computer Engineering
    Department of Computer Science, MSIT, 2016 – 2020

    Peer-Reviewed Conference Papers

  1. Dutta, S., Ruoti, S.
    A Comparative Study of Device Usage and Preferences Across Crowdsourcing Platforms.
    Collective Intelligence 2025

  2. Dutta, S., Linder, R., Williams, A.C., Kuzminykh, A., Ruoti, S.
    Unveiling the Inter‑Related Preferences of Crowdworkers: Implications for Personalized and Flexible Platform Design.
    AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2024), Vol. 12, pp. 55–64

  3. Collins, K.M., Kim, N., Bitton, Y., Rieser, V., Omidshafiei, S., Hu, Y., Chen, S., Dutta, S., Chang, M., Lee, K., Liang, Y.
    Beyond Thumbs Up/Down: Untangling Challenges of Fine‑Grained Feedback for Text‑to‑Image Generation.
    AAAI/ACM Conference on AI, Ethics, and Society (AIES 2024), Vol. 7, pp. 293–303

  4. Lee, M., Gero, K., Chung, J., Shum, S., Raheja, V., Shen, H., Venugopalan, S., Wambsganss, T., Zhou, D., Alghamdi, E., August, T., Bhat, A., Choksi, M., Dutta, S., and others
    A Design Space for Intelligent and Interactive Writing Assistants.
    CHI Conference on Human Factors in Computing Systems 2024, pp. 1–35

  5. Dutta, S., Linder, R., Lowe, D., Rosenbalm, R., Kuzminykh, A., Williams, A.C.
    Mobilizing Crowdwork: A Systematic Assessment of the Mobile Usability of HITs.
    CHI 2022, pp. 1–20

  6. Linder, R., Hunter, C., McLemore, J., Dutta, S., Akbar, F., Grover, T., Breideband, T., Borghouts, J.W., Lu, Y., Mark, G., Henley, A.Z.
    Characterizing Work‑Life for Information Work on Mars: A Design Fiction for the New Future of Work on Earth.
    ACM on Human‑Computer Interaction, 6(GROUP), pp. 1–27

  7. Yang, K., Dutta, S.
    Secure and Efficient Task Matching with Multi‑Keyword in Multi‑Requester and Multi‑Worker Crowdsourcing.
    IEEE/ACM IWQoS 2021, pp. 1–6

  8. Dutta, S., Barik, M.S., Chowdhury, C., Gupta, D.
    Divya‑Dristi: A Smartphone‑Based Campus Navigation System for the Visually Impaired.
    EAIT 2018, pp. 1–3

Peer-Reviewed Workshop Papers

  1. Collins, K., Kim, N., Bitton, Y., Rieser, V., Omidshafiei, S., Hu, Y., Chen, S., Dutta, S., Chang, M., Lee, K., Liang, Y., Evans, G., Singla, S., Li, G., Weller, A., He, J., Ramachandran, D., Dvijotham, K.
    Beyond Thumbs Up/Down: Untangling Challenges of Fine‑Grained Feedback for Text‑to‑Image Generation.
    ICML 2024 Workshop

  2. Dutta, S., Linder, R., Williams, A.C., Kuzminykh, A., Ruoti, S.
    Design Implications for Developing Flexible and Inclusive Crowdwork AI Systems.
    HCOMP 2024 Workshop

  3. Dutta, S., Linder, R., Lowe, D., Rosenbalm, M., Kuzminykh, A., Williams, A.
    The Productivity Paradox: Understanding Tooling Biases in Crowdwork.
    CSCW 2021 Workshop – Investigating and Mitigating Biases in Crowdsourced Data

  4. Dutta, S., Linder, R., Kuzminykh, A., Williams, A.
    Doing Work from Where You Are: AI HIT Management Dispatching Work Tailored to Context.
    CHI 2022 Crowd Science Workshop

  5. Chen, S., Morgan, C., Oslen, D., Manilow, E., McDowell, K., Nelson, M., Zhang, Q., Dutta, S.
    Towards an Authorial Leverage Evaluation Framework for Expressive Benefits of Deep Generative Models in Story Writing.
    In2Writing Workshop CHI 2023

Peer-Reviewed Posters

  1. Dutta, S., Linder, R., Ruoti, S., Williams, A., Kuzminykh, A.
    Beyond a One‑Size‑Fits‑All Approach: Towards Personalizing Multi‑Device Setups in Crowdwork.
    UbiComp/ISWC 2022

arXiv Papers

  1. Elgedawy, R., Sadik, J., Dutta, S., Gautam, A., Georgiou, K., Gholamrezae, F., Ji, F., Lim, K., Liu, Q., Ruoti, S.
    Occasionally Secure: A Comparative Analysis of Code Generation Assistants.
    arXiv:2402.00689

  2. Dutta, S., Chen, S., Mak, S., Ahmad, A., Collins, K., Butryna, A., Ramachandran, D., Dvijotham, K., Pavlick, E., Rajakumar, R.
    Understanding Subjectivity through the Lens of Motivational Context in Model‑Generated Image Satisfaction.
    arXiv:2403.05576

  3. Dutta, S., Mittal, S., Chen, S., Ramachandran, D., Rajakumar, R., Kivlichan, I., Mak, S., Butryna, A., Paritosh, P.
    Modeling Subjectivity (by Mimicking Annotator Annotation) in Toxic Comment Identification across Diverse Communities.
    arXiv:2311.00203

Theses

  1. Senjuti Dutta (2024)
    Understanding Traits to Support Crowdworkers' Flexibility
    Ph.D. Thesis, Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA. August 2024

  2. Senjuti Dutta (2020)
    Enabling Efficient and Privacy-Preserving Task Matching for Cloud-Based Crowdsourcing
    Master's Thesis, Department of Computer Science, University of Memphis, Memphis, TN, USA. July 2020

Professional Activity

  • Publicity and Networking Co-Chair, HCOMP 2024
    Led visibility and outreach initiatives to increase global participation and foster interdisciplinary connections.

  • Workshop Co-Organizer, Deep Learning Indaba 2024
    Co-led the planning and execution of a workshop titled "Envisioning Humans in a Safe, AI Future" on inclusive and responsible AI; contributed to content creation and speaker coordination.

  • Student Volunteer, CSCW 2021, HCOMP 2021, CHI 2022
    Supported operational logistics and attendee engagement at top-tier HCI conferences.

  • Paper Reviewer, CHI 2025, NAACL 2025, SIGIR 2025, HCOMP 2024, DIS 2024, WSDM 2025, ARR 2022, CSCW 2021, IEEE Globecom 2018, CISS Symposium 2018
    Provided detailed peer reviews for interdisciplinary conferences spanning HCI, AI, crowdsourcing, and communication systems.

    Invited Talks

  • Interrelated Crowdworker Preferences: Implications for Flexible and Personalized Platform Design
    CHIRE (CHAI Human Information Retrieval) Seminar, RMIT University, November 12, 2024

  • Design Implications for Developing Flexible and Inclusive Crowdwork AI Systems
    Participatory AI for Community Engagement (PACE 2024) Workshop, HCOMP 2024, October 19, 2024

Student Mentoring

  • Paula Akemi – Ph.D. student, University of Toronto
  • Kelsey Stemmler – External Research Assistant, University of Toronto
  • Conor O’Malley – Undergraduate student, University of Tennessee, currently Patent Examiner at USPTO