Name: Nolan Pearce Title: Downlink Transmit Beamforming: Single-Carrier Acoustic Communication in a Noisy Environment Date: 4/16/2024 Time: 2:00:00 PM Location: EXP-601A: Committee Members: 1. Prof. MIlica Stojanovic (Advisor) 2. Prof. Stefano Basagni 3. Prof. Josep Jornet 4. Dr. Dimitrios Koutsonikolas Abstract: Noisy wireless acoustic channels produce intersymbol interference (ISI) from multipath propagation. This interference may […]
Name: Zihan Wei Title: Spatial Correlation Based Broadband Acoustic Beamforming Date: 4/16/2024 Time: 3:00:00 PM Location: EXP-601A Committee Members: 1. Prof. Milica Stojanovic (Advisor) 2. Prof. Stefano Basagni 3. Prof. Josep Jornet Abstract: This thesis presents a spatial correlation based broadband acoustic beamforming approach, addressing significant challenges pertains to acoustic communication channels, such as time-varying […]
Announcing: MS Thesis Defense Name: Ruopeng Jia Title: Engineering Super-modes of Coupled Ring Resonator Arrays Date: 4/19/2024 Time: 2:00:00 PM Committee Members: 1) Sunil Mittal (Advisor) 2) Prof. Yongmin Liu 3) Prof. Ghosh Siddhartha Abstract: In the past year of learning and research, we have mastered the ability to analyze and modulate various resonant ring […]
Announcing: PhD Dissertation Defense Name: Shweta Singh Title: A Qualitative Approach for Learning and Detection of Emergent Behaviors Date: 4/25/2024 Time: 9:30:00 AM Committee Members: Prof. Mieczyslaw M. Kokar (Advisor) Prof. Taskin Padir Dr. Paul Kogut Abstract: Emergence has been studied in various fields, including engineering, computer science, and economics. However, there is no agreed-upon […]
April 30-May 2 New Orleans, LA The Archimedes Center for Healthcare and Device Security at Northeastern was founded by Professor Kevin Fu and is an industry group focused on ensuring the safety and cybersecurity of medical devices and healthcare. Archimedes is hosting an exciting event in New Orleans bringing together the world's best experts and […]
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 […]
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 […]
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 […]
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 […]
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 […]