• Zulqarnain Qayyum Khan’s PhD Dissertation Defense

    "Interpretable Machine Learning for Affective Psychophysiology and Neuroscience" Abstract: In this thesis, we leverage existing Machine Learning (ML) models where appropriate and develop novel models to advance the understanding of […]

  • Gordon Institute Virtual Information Session

    Learn how you can earn a Graduate Certificate in Engineering Leadership as a stand-alone certificate or in combination with one of twenty Master of Science degrees offered through Northeastern’s College […]

  • Leonardo Bonati’s PhD Dissertation

    432 ISEC 360 Huntington Ave, Boston, MA, United States

    "Softwarized Approaches for the Open RAN of NextG Cellular Networks" Abstract: The 5th and 6th generations of cellular networks (5G and 6G), also known as NextG, will bring unprecedented flexibility […]

  • Shuangjun Liu’s PhD Dissertation Defense

    Location: 532 ISEC "United Human Pose: Integrating Domain Knowledge and Machine Learning" Abstract: Deep learning (DL) approaches have been rapidly adopted across a wide range of fields because of their accuracy […]

  • Gordon Undergraduate Leadership Development Workshop

    431 Stearns 431 Stearns Center, 360 Huntington Ave, Boston, MA, United States

    Enhance your co-op experience with the Gordon Undergraduate Leadership Development Workshop. This engineering leadership workshop is designed for Northeastern University undergraduate engineering juniors and seniors during their second or third […]

  • Abhimanyu Sheshashayee’s PhD Dissertation Defense

    Location: 532 ISEC "Wake-up Radio-enabled Wireless Networking: Measurements and Evaluation of Data Collection Techniques in Static and Mobile Scenarios" Abstract: Multi-hop wireless networks such as Wireless Sensor Networks and in general, […]

  • Siyue Wang’s PhD Dissertation Defense

    "Towards Robust and Secure Deep Learning Models and Beyond" Abstract: Modern science and technology witness the breakthroughs of deep learning during the past decades. Fueled by the rapid improvements of […]

  • Kimia Shayestehfard’s PhD Proposal Review

    "Permutation Invariant Graph Learning" Abstract: Graphs are widely used in many areas such as biology, engineering, and social sciences to model sets of objects and their interactions and relationships. Tasks […]

  • AME Academy 2022 Summer Session

    ADDITIVELY MANUFACTURED ELECTRONICS (AME) - THE NEXT GENERATION OF ELECTRONIC DEVICES AND CIRCUITS FROM 2D TO 3D AME Academy will be delivering a 1 day event at Northeastern University, Boston MA […]