Past Events

Announcing: PhD Dissertation Defense Name: Kaustubh Shivdikar Title: Enabling Accelerators for Graph Computing Date: 4/3/2024 Time: 3:30 PM Location: Zoom Committee Members: Prof. David Kaeli (Advisor) Prof. Devesh Tiwari Prof. Ajay Joshi (Boston University) Prof. John Kim (KAIST) Prof. José Luis Abellán (University of Murcia) Abstract: The advent of Graph Neural Networks (GNNs) has revolutionized the field of machine learning, offering a novel paradigm for learning on graph-structured data. Unlike traditional neural networks, GNNs are capable of capturing complex relationships…

The CommLab will host a workshop series for poster design and presentation to focus on crafting the best visual communication of your research and telling your research story! With the upcoming RISE Expo, we will discuss techniques and implement communication strategies to successfully showcase your work. No matter where you are in the process, whether it is just in the idea phase or you are trying to polish your final poster, we are happy to help you.  Join us any…

Join us for our upcoming Graduate Greatness webinar on "Conflict Resolution and Effective Communication" presented by Kimberly Wong. 📅 Date: Thursday, April 4th 🕒 Time: 12:00 - 1:00 p.m. EDT 📍 Location: Zoom Webinar Conflict is an inevitable part of any academic journey, but with effective communication skills, challenges can be transformed into opportunities for growth. In this virtual workshop, we'll dive into strategies for navigating conflict during graduate school. Participants will have the opportunity to examine their own approaches…

Announcing: PhD Dissertation Defense Name: Anu Jagannath Title: Deep Learning at the Edge for Future G Networks: RF Signal Intelligence for Comprehensive Spectrum Awareness Date: 4/4/2024 Time: 1:00:00 PM Committee Members: Prof. Tommaso Melodia (Advisor) Prof. Kaushik Chowdhury Prof. Yanzhi Wang Abstract: Future communication networks must address the scarce spectrum to accommodate extensive growth of heterogeneous wireless devices. Efforts are underway to address spectrum coexistence, enhance spectrum awareness, and bolster authentication schemes. Wireless signal recognition is becoming increasingly more significant…

Announcing: PhD Proposal Review Name: Nicolas Bohm Agostini Title: Hardware/Software Codesign and Compiler Techniques for Efficient Hardware Acceleration of Dense Linear Algebra Kernels and Machine Learning Applications Date: 4/4/2024 Time: 3:30:00 PM Location: Zoom Committee Members: Prof. David Kaeli (Advisor) Prof. Gunar Schirner Prof. José Luis Abellán (University of Murcia) Antonino Tumeo (PNNL) Abstract: Today's linear algebra and machine learning applications (ML) continue to grow in size and complexity, placing rapidly increasing demands on the underlying hardware and software systems.…