VIKRAM MOHANTY
Ph.D. Student
Department of Computer Science, Virginia Tech



Home Projects Publications Curriculum Vitae

Publications

  1. V. Mohanty, A. Filipowicz, N. Bravo, R. Iliev, S. Carter, and D. A. Shamma. Pick Your CARbon: User Perceptions of Equivalencies for Carbon Emissions when Selecting Rideshares.
    In 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI ’22 Adjunct), September 17– 20, 2022, Seoul, Republic of Korea. ACM, New York, NY, USA.
  2. M. Kusuma, V. Mohanty, M. Wang, and K. Luther. Civil War Twin: Exploring Ethical Challenges in Designing an Educational Face Recognition Application.
    In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (AIES '22). Association for Computing Machinery, New York, NY, USA, 369–384.
  3. V. Mohanty and K. Luther. Double-Checking History: Designing Assessable Systems for Historical Photo Identification.
    AAAI Conference on Human Computation and Crowdsourcing (HCOMP), Virtual Conference, 2021 (2 pages) (Demo)
  4. V. Mohanty and G. Patterson. When Content Decides Where You Belong: Investigating Micro Communities on VSCO.
    AAAI Conference on Human Computation and Crowdsourcing (HCOMP), Virtual Conference, 2021 (2 pages) (Poster).
  5. V. Mohanty. Designing Human-AI Collaborative Systems for Historical Photo Identification.
    AAAI Conference on Human Computation and Crowdsourcing (HCOMP), Virtual Conference, 2021 (Graduate Consortium)
  6. S. Venkatagiri, V. Mohanty, T. Yu, and K. Luther. Sedition Hunters: Countering Extremism with Collective Action.
    CSCW 2021 Workshop on Addressing Challenges and Opportunities in Online Extremism Research: An Interdisciplinary Perspective (Virtual Workshop), 2021
  7. L. Yuan, V. Mohanty, and K. Luther. SleuthTalk: Identifying Historical Photos with Intelligent Shortlists, Private Collaboration, and Structured Feedback.
    CSCW ’21 Companion, October 23–27, 2021, Virtual Event, USA (Demo) [Video]
  8. V. Mohanty, D. Thames, S. Mehta, and K. Luther. Supporting Historical Photo Identification with Face Recognition and Crowdsourced Human Expertise (Extended Abstract).
    Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence Sister Conferences Best Papers. Pages 4755-4759 (Invited Submission).
  9. V. Mohanty, M. Wang, M. Kusuma, and K. Luther. Find Your Twin in History: Exploring Ethical Design Challenges in Facial Recognition.
    CSCW Workshop on Ethics in Design (Virtual Workshop), 2020
  10. V. Mohanty, D. Thames, S. Mehta, and K. Luther. Photo Sleuth: Identifying Historical Portraits with Face Recognition and Crowdsourcing.
    ACM Transactions on Interactive Intelligent Systems (TiiS), 10(4), 1-36 (Invited Submission)
  11. V. Mohanty, K. Abdol-Hamid, C. Ebersohl and K. Luther. Second Opinion: Supporting Last-Mile Person Identification with Crowdsourcing and Face Recognition
    Vol 7 No 1 (2019): Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing (25% acceptance rate)
  12. V. Mohanty, D. Thames, S. Mehta, and K. Luther. Photo Sleuth: Combining Human Expertise and Face Recognition to Identify Historical Portraits.
    ACM Conference on Intelligent User Interfaces (IUI 2019), Los Angeles, CA, USA, 2019. (25% acceptance rate) BEST PAPER AWARD
  13. V. Mohanty, D. Thames, and K. Luther. Are 1,000 Features Worth A Picture? Combining Crowdsourcing and Face Recognition to Identify Civil War Soldiers.
    AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018), Zurich, Switzerland, 2018. [POSTER LINK] BEST POSTER/DEMO AWARD
  14. V. Mohanty, D. Thames, and K. Luther. Photo Sleuth: Combining Collective Intelligence and Computer Vision to Identify Historical Portraits.
    ACM Conference on Collective Intelligence (CI 2018), Zurich, Switzerland, 2018. (32% acceptance rate for oral presentations)