Title: Towards Real-Time Safe Flight Paths for Urban Air Mobility Committee Members: Prof. David Kaeli, (Advisor) Prof. Pau Closas Dr. Evan Dill (NASA) Dr. Natasha Neogi (NASA) Abstract: The emergence and development of advanced technologies and vehicle types have created a growing demand for introducing new forms of flight operations. These new and increasingly complex […]
Title: Power-Efficient and Security-Enhancing Techniques for Ultra-low Power IoTÂ Devices Committee Members: Prof. Aatmesh Shrivastava (Advisor) Prof. Marvin Onabajo Prof. Nian X. Sun Abstract: Internet-of-things (IoT) devices often rely on ambient energy sources such as photovoltaic (PV) cells and thermoelectric generators (TEGs) for their operation. Minimizing power loss through ambient energy harvesting optimization can significantly […]
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. […]