• Chemical Engineering Summer Sustainability Seminar Series: Ewa Marek

    This talk will present our work using a chemical looping approach where solid particles of metal oxides are the sole source of oxygen to catalytic reactions. In particular, I will discuss the chemical looping epoxidation (CL-E) of ethylene to produce ethylene oxide (EO) and chemical looping oxidative dehydrogenation (CL-ODH) of ethanol to produce acetaldehyde.

  • 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-three Master of Science degrees offered through Northeastern’s College of Engineering, College of Science, or Khoury College of Computer Sciences. The National Academy of Engineering recognized The Gordon Institute of Engineering Leadership (GIEL) for […]

  • Graduate School of Engineering Campus Tour – In Person

    Recurring

    Want to learn more about Northeastern's Boston campus? Then we welcome you to sign up for a Graduate School of Engineering campus tour! Led by one of our expert Graduate Student Ambassadors, we’ll show you key locations on campus, in addition to resources specific to Engineering, and answer your questions about Boston. Please complete the […]

  • Graduate Student Fellowship Writing Club-Hosted by NU CommLab and NetSI

    Recurring

    Join the NU CommLab and NetSI sponsored weekly graduate student fellowship writing club for support in writing your fellowship application!  The fellowship writing club meets virtually on Wednesdays from 3-4pm from July 10- August 21.  We will offer you an opportunity to ask questions to faculty, staff and students who have reviewed, mentored or applied […]

  • Jagatpreet Nir PhD Dissertation Defense

    Announcing: PhD Dissertation Defense Name: Jagatpreet Nir Title: Low Contrast Visual Sensing and Inertial-Aided Navigation in GPS-Denied  Environments Date: 7/18/2024 Time: 11:00:00 AM Committee Members: Prof. Hanumant Singh (Advisor) Prof. Martin Ludvigsen Prof. Michael Everett Prof. Pau Closas Abstract: Field robots perform complex tasks, necessitating high autonomy and reliable navigation capabilities. Integrating complementary sensors at […]

  • Mehrshad Zandigohar PhD Proposal Review

    Announcing: PhD Proposal Review Name: Mehrshad Zandigohar Title: Deployable and Multimodal Human Grasp Intent Inference in Prosthetic Hand Control Date: 7/18/2024 Time: 11:30:00 AM Location: https://teams.microsoft.com/l/meetup-join/19%3ameeting_N2QyNzc1MWMtOWJmMi00NGNmLThlNzctN2JlNjU2Y2I1MmI1%40thread.v2/0?context=%7b%22Tid%22%3a%22a8eec281-aaa3-4dae-ac9b-9a398b9215e7%22%2c%22Oid%22%3a%22de13c261-ac42-49d7-8950-6dec3adaca4e%22%7d ISEC 532 - Committee Members: Prof. Gunar Schirner (Advisor) Prof. Deniz Erdogmus Prof. Mallesham Dasari Prof. Mariusz P. Furmanek Abstract: For transradial amputees, robotic prosthetic hands promise to regain […]

  • Miead Tehrani Moayyed PhD Dissertation Defense

    Name: Miead Tehrani Moayyed Title: RF Channel Models for Static and Mobile Scenarios: From Simulations to Models for Large-scale Emulations and Digital Twins Date: 7/22/2024 Time: 1:00:00 PM Location: Room: EXP-601A Committee Members: Prof. Stefano Basagni (Advisor) Prof. Tommaso Melodia Prof. Milica Stojanovic Abstract: The extremely high data rates provided by communications at higher frequency bands, such […]

  • Andrea Lacava PhD Proposal Review on 7/23

    Name: Andrea Lacava Title: Enabling Intelligent nextG Cellular Networks through the Open RAN  Architecture Date: 7/23/2024 Time: 11:30:00 AM Location: EXP 501 Committee Members: Prof. Tommaso Melodia (Advisor) Prof. Francesca Cuomo (Advisor) Prof. Stefano Basagni Prof. Ioannis Chatzigiannakis Abstract: The 5th generation (5G) and beyond of cellular networks will support heterogeneous use cases at an […]

  • Zhenglun Kong PhD Dissertation Defense

    Name: Zhenglun Kong Title: Towards Efficient Deep Learning for Vision and Language Applications Date: 7/23/2024 Time: 9:00:00 PM Committee Members: Prof. Yanzhi Wang (Advisor) Prof. David Kaeli Prof. Dakuo Wang Prof. Weiyan Shi Abstract: Machine learning and AI have been advancing rapidly in recent years, leading to numerous applications across diverse fields such as autonomous […]