Aamir Hasan

I am a 5th year PhD Student in the Human-Centered Autonomy Lab majoring in Electrical and Computer Engineering at the University of Illinois Urbana-Champaign advised by Prof. Katherine Driggs-Campbell.


Research Interests

  • Human-Robot interaction
  • Human behavior modeling
  • Perception
  • Learning & AI
  • Signal Processing $\bigcap$ Machine Learning

Updates

  • August 2024: Completed my internship at Meta. I worked on User Intent modeling for FB stories. My work spanned from curating new features for existing models to improving current models and building the end-to-end framework (data pipelines to training and evaluating models) for intent modeling using a variety of affinity indicators. Special thanks to Dr. Shafiul Azam Chowdhury, Dr. Shalmoli Gupta, Dr. Reza Chowdhury, and Nikhil Pathak for their help and guidance throughout the internship. This summer working at Meta has been filled with learning experiences and formed me into a better engineer!

  • May 2024: Began my internship at Meta. I am working on Rankings Stories for Facebook.

  • February 2024: I was a student speaker at The 19th Annual CSL Student Conference 2024 for the Robotics Session! I spoke about my work “Co-operative Advisory Residual Policies for Congestion Mitigation”. I am honored to have won the Best Presentation Award.

  • February 2024: Our work on an assistive navigation system for People with Visual Impairments, DRAGON, was published in the Robotics and Automation Letters.

  • January 2024: Presented Beyond the Dashboard: Investigating Driver Preferences Under Distraction for Communication with ADAS at the TRB Annual Meeting 2024 in Washington DC!

  • December 2023: I passed my preliminary examination for my PhD! Special thanks to my Committee: Asst. Prof. Katie Driggs-Campbell, Prof. Karrie Karahalios, Assoc. Prof. Lav Varshney, Asst. Prof. Roy Dong.

  • October 2023: Beyond the Dashboard: Investigating Driver Preferences Under Distraction for Communication with ADAS accepted for the TRB Annual Meeting 2024 in Washington DC!

  • September 2023: Presented PeRP at ITSC in Bilbao, Spain. Also got to interact with and meet a lot of wonderful researchers in the Transportation community.

  • July 2023: PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems accepted to ITSC 2023.

  • May 2023: Visited the Centre of Intelligent Robotics at the Indian Institute of Information Technology, Allahabad and gave my talk: “Towards Systems for Adaptive Modes of Communication between Drivers and their Advanced Driver Assistance Systems”. Special thanks to Dr. Rahul Kala and Syed Mohammed Haider Ali and everyone at IIIT-A!

  • February 2023: Was a student speaker at The CSL Student Conference 2023 for the Robotics Session! I spoke about my work “Towards Systems for Adaptive Modes of Communication between Drivers and their Advanced Driver Assistance Systems”.

  • August 2022: Completed my second internship at Google. Special thanks to Ellie Zhou and Spencer Luo for hosting me at Google!

  • May 2022: Presented MESRNN at ICRA 2022. Also presented Towards Co-operative Congestion Mitagation at the Shared Autonomy in Physical Human-Robot Interaction: Adaptability and Trust workshop and ‘Designing a Wayfinding Robot for People with Visual Impairments’ at the Intelligent Control Methods and Machine Learning Algorithms for Human-Robot Interaction and Assistive Robotics workshop.

  • May 2022: Returned to Google for another internship. I am working on Advertiser Business Summarization.

  • January 2022: Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction accepted to ICRA 2022.

  • December 2021: Received an Honorable Mention at the inaugural Stretch Robot Pitch Competition.

  • August 2021: Completed my internship at Google. Special thanks to Shashank Shastry and Benjamin Louie for hosting me at Google!

  • May 2021: Began my internship at Google. I am working on experimenting with Pre-training the Multi-modal BERT model on unlabelled data to improve performance in extracting business titles from storefront images.

  • April 2021: Humbled by another nomination for the “Harold L. Olesen Undergraduate Teaching Award” for ECE 391 in Spring 2021.

  • January 2021: Appointed as Head TA for ECE 391 in Spring 2021.

  • December 2020: Long-Term Pedestrian Trajectory Prediction Using Mutable Intention Filter and Warp LSTM accepted to IEEE-RAL.

  • December 2020: Humbled by another nomination for the “Harold L. Olesen Undergraduate Teaching Award” for ECE 391 in Fall 2020.

  • August 2020: Appointed as Head TA for ECE 391 in Fall 2020.

  • June 2020: On the “List of Teachers Ranked as Excellent by their Students” for ECE 391 in Spring 2020.

  • June 2020: Joined the Human-Centered Autonomy Lab and advised by Prof. Katie Driggs-Campbell.

  • March 2020: On the “List of Teachers Ranked as Excellent by their Students” for ECE 391 in Fall 2019.

  • December 2019: Received the “Harold L. Olesen Undergraduate Teaching Award” for ECE 391 in Fall 2019.

  • August 2019: Began pursuing a Doctorate in Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign.

  • May 2019: Graduated as a Bachelor of Science in Computer Engineering from the University of Illinois at Urbana-Champaign with High Honors.