Welcome to the Augmented Cognition Lab (ACLab)

ACLab works at the intersection of computer vision and machine learning. We are interested in representation learning algorithms for visual perception (object recognition, localization, segmentation, pose estimation, activity tracking, ...) with the multidisciplinary goal of understanding, detecting, and predicting human behaviors by estimating their physical, physiological and emotional states. For a robust and efficient state estimation, we represent the state of the world in a low-dimensional embedding, called "pose", which is a succinct interpretable representation of the important information in the state. At ACLab, we use machine intelligence (mainly Computer Vision and Machine Learning) to solve these pose estimation problems and to give human leverage, not to replace them! At ACLab, we are also working on problems in Small Data domains. To deal with data limitation, we do integrate explicit (structural or data-driven) domain knowledge into the learning process via generative models, while benefiting from the recent advancements in data efficient ML.

Join The Team

  • ACLab is looking for talented graduate students. The lab is a fast-paced environment and there will be many challenging problems across a variety of disciplines. You will have to work hard, but in return you will have many opportunities to shape our research and pursue your unique take on our problems. I am especially interested in PhD students with a background in machine learning, computer vision, and algorithms. If this sounds like the kind of place you love to work, send me an email with your updated CV to ostadabbas@ece.neu.edu.

ACLab Funded Projects

  • Research in ACLab is generously supported by the National Science Foundation, MathWorks, Amazon Cloud Services, Biogen, and NVIDIA. For the full list of research project please visit: https://web.northeastern.edu/ostadabbas/research/

Notes for Interested Undergraduate Students:

  • ACLab is always looking for talented and enthusiastic undergraduate students. Please check the Undergraduate Research and Creative Endeavor Awards center at Northeastern and based on your eligibility and the future deadlines contact me to define a project for you in line with the ACLab's mission. Deadlines: The last weekday of October for Spring semester; The last weekday of February for Summer sessions (i.e., May-August); The last weekday of July for Fall semester.
Our AR/VR technologies featured at NU Engineering magazine.
Our collaborative project “A-Eye,” is selected for Phase I GapFund360 funding, Jan 2020.
ACLab at CVPR2019 with 2 Posters, June 16-20, 2019.
ACLab and Shuangjun received Amazon AWS award, 2018.
Behnaz Rezaei PhD Dissertation Defense (Title: Low-dimensional Representation of Visual Dynamics towards Animal/Human Behavior Monitoring), April 14th, 2020.
Justin and Shuangjun received Best Engineering and Technology award at RISE:2017.
Yu Yin MS Thesis Defense (Title: Affective Pose: Facial & Physiology Expression of Emotion), Dec 3rd, 2018.
Behnaz Rezaei PhD Proposal Defense (Title: Action Recognition Explained), May 29th, 2019.
Final Presentation of our High School Students, Sophia and Caleb, Northeastern Young Scholar's Program (YSP), Summer 2019.
Traditional ACLab Gathering at the Beginning of Spring 2018.
Xiaofei Huang and Kathan Vyas presenting their papers at MLPS Conference, Oct 2019.
Shuangjun Liu PhD Proposal Defense (Title: United Human Pose), Dec 5th, 2019.
Amirreza Farnoosh gave an Oral Presentation at MLHC, Aug 2017,
Shuangjun's paper was presented in MICCAI conference, Oct 2019.
Kathan Vyas MS Thesis Defense (Title: Data Efficient Analysis of Human Behavior by Spatio-Temporal Pose Generation and Inference), Dec 3rd, 2020.
Amirreza Farnoosh PhD Proposal Defense (Title: Unsupervised Learning of Low-Dimensional Dynamical Representations from Spatiotemporal Data), Dec 16th, 2020.
Nihang Fu MS Thesis Defense (Title: Data Efficient Infant Pose and Posture Recognition), June 24, 2021.
Amirreza Farnoosh PhD Dissertation Defense (Title: Unsupervised Learning of Low-Dimensional Dynamical Representations from Spatiotemporal Data), Aug 4th, 2021.
Graduation party for several ACLab members: Amir, Kathan, and Nihang.
Divyang Teotia MS Thesis Defense (Title: Interpreting Face Inference Models using Hierarchical Network Dissection), Dec 3rd, 2021.
Amir's Hooding Ceremony, Sep 9th, 2021.
Sarah's Lightening Talk at Discover Experiential AI at IEAI Inaugural Event, April 6, 2022.
ACLab retreat, Summer 2022 (Boston Common)
Shuangjun Liu PhD Dissertation Defense (Title: United Human Pose: Integrating Domain Knowledge and Machine Learning), July 18th, 2022.