Carnegie Mellon University

Seminars

The Department of Electrical and Computer Engineering invites prestigious colleagues to speak during weekly graduate seminars. All talks take place from 12:00 pm–1:00 pm. Please see below for venue details.

 For questions, please contact the committee chair, Tze Meng Low.

View all previously recorded seminars here. Andrew ID and password are required to view recorded seminars.

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Graduate Seminars

All in-person seminars will follow CMU's gathering requirements in place at the time of the seminar. For those seminars taking place virtually, attendees will receive an email before the seminar with login information.

Box lunches/waters will be provided for the in-person seminars at 11:30 am in Panther Hollow Room, CIC 4th floor.

Assistant Professor
Department of Electrical and Computer Engineering

Carnegie Mellon University

Title: Intelligent Mobile Systems for Equitable Healthcare

Watch the seminar here.

Abstract: Access to even basic medical resources is greatly influenced by factors like an individual’s birth country and zip code. In this talk, I will present my work on designing intelligent mobile systems for equitable healthcare. I will showcase three systems that are not only interesting from a computational standpoint but are also having real-world medical impact. The first system can detect ear infections using only a smartphone and a paper cone. The second system enables low-cost newborn hearing screening using inexpensive earphones. Lastly, I will present an ambient sensing system that employs smart devices to detect emergent and life-threatening medical events such as cardiac arrest. Through these examples, I will demonstrate how new computational and sensing techniques that generalize across hardware and work in real-world environments can help to address pressing societal problems.

Bio: Justin is an assistant professor in the School of Computer Science and Department of Engineering and Computer Engineering at Carnegie Mellon University, where he leads the Mobile Innovations Lab. His group's research focuses on building intelligent mobile and embedded systems for computational health and large-scale environmental sensing. His work on smartphone-based ear infections is now FDA-listed and is available to select early access healthcare systems. His work on new-born hearing screening has led to an international effort
called TUNE with the goal of bringing universal newborn hearing screening across Kenya as well as collaborations with NGOs to deploy this technology. His work on contactless cardiac arrest detection has been licensed to a startup which has recently been acquired by Google. He was also a lead contributor for Covid Safe (now WA Notify), a COVID-19 contact tracing and symptom tracking app, which became part of official efforts by the WA Department of Health to manage the pandemic. He has authored publications in interdisciplinary journals like Nature
Biomedical Engineering, Science Translational Medicine, Nature Communications as well as Computer Science and Engineering venues like MobiSys, MobiCom, SIGCOMM, SIGGRAPH Asia and UIST. His work has been recognized by a SIGMOBILE Doctoral Dissertation Award Runner Up and ACM SIGMOBILE Research Highlights twice.

 

Assistant Professor
Department of Electrical and Computer Engineering
Carnegie Mellon University

Title: The Next Leap in Computing Systems: Powered by Beyond-Silicon Technologies and Their Lab-to-Fab
Abstract: The past few decades have seen remarkable advancements in new semiconductor technologies, moving beyond material synthesis to demonstrating transformative computing systems. However, to bring these technologies to the forefront of our daily lives, they must transition from academic labs to industrial silicon fabs. I will present our work on such lab-to-fabtransfer of carbon nanotubes, a technology which holds the promise to revolutionize next-generation energy-efficient computing. While initial proof-of-concept systems have been built with carbon nanotube field-effect transistors (CNFETs) in the past, a lab-to-fabtransfer had been infeasible due to outstanding challenges such as material imperfections, variations, and compatibility with silicon fabs. I will present a range of techniques aimed at overcoming these challenges, including material optimizations (e.g., highest-purity silicon fab-compatible CNT extraction), device engineering (e.g., silicon fab-compatible complementary CNFETs), new fabrication techniques (e.g., by repurposing existing silicon fab infrastructure) and integration with existing design flows (using silicon design automation tools). These efforts have enabled a successful transfer of CNFETs into industrial silicon fabs, including Analog Devices (targeting future products, where CNTs are now on their technology roadmap), and SkyWater Foundry (which has already launched commercial CNFET offering). Additionally, this technology has enabled ultra-dense monolithic three-dimensional (M3D) integration with other technologies, e.g., with silicon (demonstrating the first complementary CNFET M3D system: anM3D imager, integrating two CNFET logic tiers over silicon pixels) and with Resistive RAM (the first foundry M3D technology, integrating CNFETs with Resistive RAM over silicon at SkyWater). I will showcase how this new M3D CNFET+RRAM technology has now reached a level of maturity that it shows performance comparable to that of a conventional RRAM stack using Si FET access transistors. This has been confirmed through extensive measurements from foundry-made hardware at the same node and from the same wafers. As a result, this M3D technology can unlock a large architecture design space with substantial system-level energy-delay product benefits vs. more conventional silicon-based designs even under conservative constraints of iso-design-footprint and iso-memory-capacity. Finally, I will conclude by sharing my vision for continued future research in the field of nanoelectronics, including new co-design approaches to derive targets for future (yet, undiscovered) technologies from the application-level throughput and energy efficiency needs.
Bio: Tathagata Srimani is an assistant professor at Carnegie Mellon University, ECE.
Previously, he was a postdoctoral scholar in EE at Stanford University. He received the S.M. and the Ph.D. degree in EECS from Massachusetts Institute of Technology in 2018 and 2022 respectively, and the B.Tech degree in E&ECE from IIT Kharagpur in 2016. Tathagata's research focuses on improving the energy-efficiency and throughput of computing systems hardware through advances in new technologies, heterogeneous integration, and technology–architecture codesign. His work has won the Best Paper Award at the 2023 IEEE Symposium on VLSI Technology, and was highlighted in the U.S. President’s 2024 Nanotechnology Budget Report. He was a recipient of the MIT Presidential Fellowship in 2016 and Morris Joseph Levin Award—best Masterworks (S.M. thesis) presentation at MIT in 2018.

Assistant Professor
Department of Electrical and Computer Engineering
Cornell University

Title: Designing Magnetic Manipulation at the Nanoscale

Abstract: Magnetism is capable of manipulation of objects both large and small, near and far, visible and invisible. This talk will focus on two ways in which magnetic devices are being developed for manipulation. More specifically, I will present two examples in which we are using magnetism to design versatile devices with applications to haptics (manipulating tactile surfaces) and communications (manipulating electromagnetic waves). First, we will consider what magnetic features are required to make reconfigurable haptic interfaces, capable of giving the user the sensation that they are feeling what they are seeing on a visual display; and reconfigurable communication systems, capable of tuning their frequency of operation real-time. Here, I will present our self-assembled magnetic nanostructures with large magnetic moment and anisotropy as a potential solution to both applications. For haptic interfaces, true 3D fidelity in a tactile display requires extremely flexible materials that can also be programmed real-time to physically illustrate what is visually displayed on the screen. I will present how our magnetic elastomer composites can be used to achieve such fidelity. For microwave communication systems, high frequency resonances need to be widely tunable to enable adaptive filtering and more interference-resilient communications. I will present how our high magnetic anisotropy materials can provide adaptability of such sharp filters at frequencies in the tens of gigahertz. The projects discussed will illustrate the impact of magnetism on the design of broadly versatile devices to ameliorate both technology and society in the future.

Bio: Amal El-Ghazaly is an assistant professor in the department of electrical and computer engineering at Cornell University and an NSF CAREER award recipient. Her work combines magnetism and ferroelectricity to create tunable, versatile electronic systems for telecommunications, sensing and actuation. Prior to joining Cornell in 2019, she was a postdoctoral research fellow at the University of California Berkeley, where she was awarded the University of California President's Postdoctoral Fellowship in 2017. Her postdoctoral research explored new possibilities for ultrafast all-electrical switching of magnetic nanodots for faster and more energy-efficient computer memories. She earned a Ph.D. in electrical engineering from Stanford University, where she was funded by both NSF and NDSEG graduate research fellowships as well as the Stanford DARE fellowship until her graduation in 2016. Her Ph.D. research focused on radio frequency devices using magnetic and magnetoelectric thin-film composites for tunable wireless communications. She received her B.S. and M.S. degrees in electrical and computer engineering from Carnegie Mellon University in 2011.

Affiliate Scientist
Sandia National Laboratories

Title: Quantum Information Science Enabled by Focused Ion Beams

Abstract: The widespread application of quantum information sciences (QIS) will require fabrication of quantum systems at scale. Solid state based color centers are an interesting platform for QIS, with recent demonstrations of the largest quantum network (three nodes) based on nitrogen vacancy color centers in diamond. While scalability may be achieved with color centers due to them being hosted in a solid state material, an important challenge to overcome is their deterministic fabrication.

In this talk I will present challenges in the deterministic fabrication of color centers and our paths of overcoming these challenges using focused ion beams coupled with in-situ techniques. I will discuss how tailored light irradiation during high-temperature activation annealing can be utilized to dissolve unwanted vacancy clusters to improve the yield of silicon vacancies (SiV) in diamond. The technique uses sub bandgap light irradiation to ionize and destabilize unwanted defect clusters while leaving (SiV) untouched. 

Bio: Michael Titze is a Senior Member of the Technical Staff in the Sandia National Laboratories Ion Beam Laboratory. His research focus is the development of in-situ techniques for the fabrication of quantum devices. Prior to joining Sandia he received his PhD in Physics from Florida International University working on ultrafast spectroscopy and a BSc in Physics from Heinrich Heine Universität Düsseldorf, Germany.

Executive Director
J.P. Morgan

Assistant Professor
Department of Electrical and Computer Engineering
Carnegie Mellon University

 

Associate Professor
Department of Electrical and Computer Engineering
University of California, Santa Barbara
Assistant Professor
Department of Electrical and Computer Engineering
University of Texas at Austin
Assistant Professor
Department of Electrical and Computer Engineering
Northwestern University