• 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 […]

  • Tong Jian’s PhD Dissertation Defense

    "Robust Sparsified Deep Learning" Abstract: This dissertation studies robustness issues around DNN deployments on resource constrained systems, under both environmental and adversarial input adaptation. We propose a means of compressing […]

  • Mahdiar Sadeghi’s PhD Dissertation Defense

    "Model-based decision making in life sciences" Abstract: Mathematical models are key tools in rational decision-making processes. A ``good" model is expected to reproduce experimental observations, which enables predictions outside the […]

  • Nikita Mirchandani’s PhD Dissertation Defense

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

    "Ultra-Low Power and Robust Analog Computing Circuits and System Design Framework for Machine Learning Applications" Abstract: As the scaling of CMOS transistors has almost halted, performance gains of digital systems […]

  • Mithun Diddi’s PhD Dissertation Defense

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

    "Multiple UAVs for Synchronous - Shared Tasks and Long-term Autonomy" Abstract: This thesis focuses on the use of multiple unmanned aerial vehicles(UAVs) in a distributed framework from a systems perspective […]

  • Mengshu Sun’s PhD Dissertation Defense

    "Deep Learning Acceleration on Edge Devices with Algorithm/Hardware Co-Design" Abstract: As deep learning has succeeded in a broad range of applications in recent years, there is an increasing trend towards […]

  • Hamed Mohebbi Kalkhoran’s PhD Dissertation Defense

    "Machine learning approaches for classification of myriad underwater acoustic events over continental-shelf scale regions with passive ocean acoustic waveguide remote sensing" Abstract: Underwater acoustic data contain a myriad of sound […]

  • Tarik Kelestemur’s PhD Dissertation Defense

    Location: ISEC 532 "Combining Classical and Learning-based Methods for Visual and Tactile Manipulation" Abstract: Robots that operate in dynamic and ever-changing environments need to make sense of their surroundings and act […]

  • Justin Crabb’s PhD Proposal Review

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

    "Multiphysics Simulation of Graphene Transistors for On-Chip Plasmonic THz Signal Generation and Modulation" Abstract: Terahertz communication is envisioned as a key technology not only for the next generation of macro-scale […]