Naimul Hoque

I am a first-year graduate student at the Department of Computer Science, Stony Brook University. My current research interests are Explainable AI, Intelligent User Interface, and Assistive Technology. In general, I am enthusiastic about projects that work towards social well-being by combining techniques from Data Science, Visualization and Immersive Technologies (AR, VR). My recent projects include- Visual causal analysis for transparent decision-making, Collaborative sense-making through causal inference, and Interactive tool for balancing visual biases (gender bias, skin-tone bias etc.) in video streams.

I completed my Bachelor of Science (B.Sc.) in Computer Science and Engineering from the University of Dhaka, Bangladesh. I also hold an M.S. from the same institution.

  • Md Naimul Hoque, Nazmus Saquib, Syed Masum Billah, and Klaus Mueller. 2020. Toward Interactively Balancing the Screen Time of Actors Based on Observable Phenotypic Traits in Live Telecast. Proc. ACM Hum.-Comput. Interact. 4, CSCW2, Article 154 (October 2020), 19 pages. (pdf)

  • M.N. Hoque, K. Mueller, Plug and Play: Interactive Causal Models for Explainable and Transparent Algorithmic Decision Making, Work in Progress.

  • M.N. Hoque, D. Coelho, K. Mueller, Examining the Visualization Practices of Data Scientists on Kaggle, InfoVis Poster, 2019. (pdf)

  • M. M. Hassan, A. Adnan, A. M. Saleheen, M. N. Hoque, Understanding the Patterns of Crime Reports in a Popular Bangladeshi Newspaper, Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2018). (pdf)

  • M.N. Hoque, R.E. Fatima., M. Mandal, N. Saquib, Evaluating gender portrayal in Bangladeshi TV, Machine Learning for the Developing World, NIPS 2017 Workshop, Long Beach, CA, USA. (pdf)

  • RM.S Rafid, M.M. Islam, M.N. Hoque, C.F. Ahmed, Reframing for Non Linear Dataset Shift, 18th Conference on Knowledge Extraction and Management (EGC 2018), Paris, France. (pdf)

  • M.N. Hoque, C.F. Ahmed, N. Lachiche., C.K. Leung, H. Zhang,Reframing in Clustering, 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI), San Jose, CA,USA. (pdf)
Recent News!
  • Oct, 2019: Will attend VIS 2019 to present my poster
  • Sep, 2019: Submitted a paper on CHI 2020
  • Aug, 2019: Submitted a paper on Fat* 2020
  • Jun, 2019: Started working as an RA
  • Feb, 2019: Presented my research on Graduate Research Sysmposium at Stony Brook
  • Nov, 2018: Presented a poster on CSCW 2018
  • Aug, 2018: Awarded the Chairman's Fellowship at Stony Brook