8:30-8:50 am: Lab tour of the NU Cleanroom, labs, etc. (Meet at the entrance of Egan Building, 120 Forsyth Street, Boston, MA 02115, Led by Nian Sun) 8:50-9am Move to McLeod Suites, Curry Student Center, Northeastern University 9:00-9:15: Opening remarks from NU and DFG (VPRD Kim Holloway, Senator Professor Marion Merklein) 9:15-10:30: Presentations from NU […]
Title: Multi-user Communications Date: 9/19/2023 Time: 10:00:00 AM Location: ISEC 432 Committee Members: Prof. Milica Stojanovic (Advisor) Dr. Xiaowen Wang (Apple) Prof. Tommaso Melodia Abstract: Extensive research has been conducted with respect to underwater acoustic communications and networking, owing to their profound importance in various applications, such as fish farming and the oil-and-gas industry. Acoustic […]
Title: Making Machine Learning on HPC Systems Cost-Effective and Carbon-Friendly Date: 10/24/2023 Time: 1:00:00 PM Committee Members: Prof. Devesh Tiwari (Advisor) Prof. Ningfang Mi Dr. Vijay Gadepally Abstract: The end users want the machine learning (ML) training/inference services to be lightning-fast. However, the cost, incurred by service providers, to support these lighting-fast ML services is […]
Title: Development of Anomaly Detection and Characterization Algorithms Using Wideband Radar Image Processing for Security Applications Date: 11/17/2023 Time: 8:30:00 AM Location: 302 Stearns Committee Members: Prof. Carey Rappaport (Advisor) Prof. Charles DiMarzio Prof. Edwin Marengo Abstract: Detection and characterization of suspicious body-worn objects is necessary for safe and effective personnel screening. In airports, developing […]
Title: Enabling Domain Platform Design for Streaming Applications: A Holistic Approach Committee Members: Gunar Schirner (Advisor) Prof. David Kaeli Prof. Hamed Tabkhi (UNCC) Time: 10:00:00 AM Location: ISEC 601 Abstract: In recent years, more demanding streaming applications make striking a balance between high compute performance and efficiency paramount in platforms designs for edge computing. In […]
Title: Making Deep Neural Network Transparent Date: 11/29/2023 Time: 3:00:00 pm Committee Members: Prof. Jennifer Dy (Advisor) Prof. Mario Sznaier Prof. Eduardo Sontag Prof. Peter Castaldi Abstract: As machine learning algorithms are deployed ubiquitously to a variety of domains, it is imperative to make these often black-box models transparent. The ability to interpret and comprehend […]
Title: Making Deep Neural Network Transparent Date: 11/29/2023 Time: 4:30:00 PM Committee Members:- Prof. Jennifer Dy Prof. Eduardo Sontag Prof. Mario Sznaier Prof. Peter Castaldi Abstract: As machine learning algorithms are deployed ubiquitously to a variety of domains, it is imperative to make these often black-box models transparent. The ability to interpret and comprehend the […]
Title: Hardware Security Vulnerabilities in Deep Neural Networks and Mitigations Date: 12/4/2023 Time: 10:30:00 AM Committee Members: Prof. Yunsi Fei (Advisor) Prof. Aidong Ding Prof. Xue Lin Prof. Xiaolin Xu Abstract: In the past decade, Deep Neural Networks (DNNs) have become pivotal in numerous fields, including security-sensitive autonomous driving and privacy-critical medical diagnosis. This Ph.D. […]
Title: COPILOT: Cooperative Perception using Lidar for Handoffs between Road Side Units Committee Members: Prof. Kaushik Chowdhury (Advisor) Prof. Stratis Ioannidis Prof. Jennifer Dy Abstract: This thesis presents COPILOT, a ML-based approach that allows vehicles requiring ubiquitous high bandwidth connectivity to identify the most suitable road side units (RSUs) through proactive handoffs. By cooperatively exchanging […]
Title: Wireless Intelligence: A Comprehensive Exploration of AI-Driven Solutions in Channel Estimation, Beam Refinement, and Protocol Classification for Next Generation Networks Committee Members: Prof. Kaushik Chowdhury (advisor) Prof. Stratis Ioannidis Dr. Chris Dick Abstract: his thesis explores the transformative impact of artificial intelligence (AI) on wireless systems through model-driven simulations and real-world datasets, with a […]