SUNMONTUEWEDTHUFRISAT
Conferences, Lectures, & Seminars
Events for March
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Semiconductors & Microelectronics Technology Seminar - Andrew Mannix, Wednesday, 3/1 at 11am in EEB 248
Wed, Mar 01, 2023 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Andrew Mannix, Stanford University
Talk Title: Automated assembly of synthetic van der Waals solids
Series: Semiconductors & Microelectronics Technology
Abstract: Synthetic van der Waals (vdW) solids assembled from two-dimensional (2D) materials yield unprecedented, atomic-scale control over their structure and properties, with profound implications for future quantum, electronic, and photonic devices. Within these vdW solids, moiré superlattices arising from lattice mismatch and interlayer twist angle can host novel quantum states (e.g., superconductivity), emergent ferroelectricity, and tunable quantum confinement. However,
the production of vdW solids remains a largely artisanal process,
limited in the size of the source material and the fabrication
throughput. In this talk, I will discuss our recent efforts to enhance the quality and speed of vdW solid fabrication. Our core approach, Robotic 4D Pixel Assembly, enables rapid manufacturing of designer vdW solids with unprecedented speed, area, patternability, and angle control. We utilize a high-vacuum robot to assemble prepatterned pixels made from 2D materials grown at the wafer scale. We fabricated vdW solids of up to 80 individual layers, consisting of (10 to 1000 μm)^2 areas with pre-designed patterned shapes, laterally/vertically programmed composition, and controlled interlayer angle. This enabled efficient optical spectroscopy assays of vdW solids and fabrication of twisted n-layer assemblies, where we observe atomic lattice relaxation
of twisted 4-layer WS_2 at unexpectedly high interlayer twist angles of greater than or equal to 4 degree. To conclude, I will outline ongoing efforts in my lab to understand and engineer high quality electronic interfaces, moiré superlattices, and point defects within vdW solids.
Biography: Andrew Mannix is an assistant professor of Materials Science and Engineering at Stanford University. He completed his B.S. in Materials Science and Engineering at the University of Illinois at Urbana-Champaign, and his Ph.D. in Materials Science and Engineering at Northwestern University as an NSF GRFP Fellow, where he worked on the growth and atomic-scale characterization of new 2D materials. Before moving to Stanford, Andy was a Kadanoff-Rice Postdoctoral Fellow in the James Franck Institute at the University of Chicago, where he developed new methods of atomically-thin nanomaterials growth, processing, and automated heterostructure assembly. His lab at Stanford focuses on the growth, assembly and atomic-scale characterization of 2D materials for new electronic and quantum information science applications.
Host: J Yang, H Wang, C Zhou, S Cronin, W Wu
More Information: Andrew_0301_new.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Viterbi Keynote Lecture: Learning to Communicate
Thu, Mar 02, 2023 @ 04:00 PM - 05:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Robert Calderbank, Charles S. Sydnor Distinguished Professor of Computer Science, Duke University
Talk Title: Learning to Communicate
Series: Viterbi Lecture
Abstract: It is common knowledge that a time-domain pulse is well adapted to pure delay channels, and that a frequency domain pulse is well adapted to pure Doppler channels. In this talk we will explain why the Zak-OTFS waveform, a pulse in the delay-Doppler domain, is well adapted to the doubly spread channels that arise in wireless communication.
We will describe how to design the Zak-OTFS waveform so that the input-output (IO) relation is predictable and non-fading, and we will explain how it is possible to learn the IO relation without needing to estimate the underlying channel. We will explore the possibility of a model-free mode of operation, which is especially useful when a traditional model-dependent mode of operation (reliant on channel estimation) is out of reach. We will also describe how the Zak-OTFS waveform supports combined communication and sensing by enabling unambiguous delay-Doppler estimation.
This is joint work with Saif Mohammed, Ananthanarayanan Chockalingam, and Ronny Hadani.
Biography: Dr. Calderbank directs the Rhodes Information Initiative at Duke University, where he is a Distinguished Professor. He is known for contributions to voiceband modem technology, to quantum information theory, and for co-invention of space-time codes for wireless communication. His research papers have been cited more than 50,000 times, and his inventions are found in billions of consumer devices. Dr. Calderbank was elected to the National Academy of Engineering in 2005, to the National Academy of Inventors in 2015, and to the American Academy of Arts and Sciences in 2022. He has received a number of awards, including the 2013 IEEE Hamming Medal for contributions to information transmission, and the 2015 Claude E. Shannon Award.
Host: Dr. Richard M. Leahy, leahy@sipi.usc.edu
Webcast: https://usc.zoom.us/j/99839989058?pwd=MDFvNWxZNUg1VURjL3EyTDlJekViZz09More Information: 20230302 Calderbank Print.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132
WebCast Link: https://usc.zoom.us/j/99839989058?pwd=MDFvNWxZNUg1VURjL3EyTDlJekViZz09
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Semiconductors & Microelectronics Technology Seminar - Khaled Ahmed - Friday, 3/3 at 10am in EEB 248
Fri, Mar 03, 2023 @ 10:00 AM - 11:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Khaled Ahmed, Intel
Talk Title: Quo Vadis, MicroLEDs?
Series: Semiconductors & Microelectronics Technology
Abstract: It is estimated that the industry has spent ca. $7B on developing MicroLEDs for displays. At least one startup in the Silicon Valley is trying to leverage the MicroLEDs developed for display applications in chip-to-chip data communication. Recently, reports appeared on Apple's imminent implementation of MicroLED displays in smartwatches as evidenced by public announcements from Apple's MicroLED suppliers. Samsung has promised high volume production of MicroLED TV displays for about 5 years now. Google was reported to acquire a MicroLED startup in 2022 for estimated $1B. Hundreds of startups are trying to address one aspect or the other in the supply chain. For those who have been in the semiconductor industry for 10s of years relate to this pattern: we are on the verge of having innovative microscopic light emitters participate in making the lives of humans better. In this talk, the promise and challenge of MicroLED emitters are discussed based on the speaker's hands-on experience with the technology. A number of innovative technologies necessary for high volume manufacturing of MicroLED-based devices are highlighted, with specific problems to be solved. It is an opportunity for researchers to participate in the science and technology development for this important technology.
Biography: Dr. Ahmed received a B.S. degree and an M.S. degree in electrical engineering from Ain Shams University, Egypt in 1991 and 1994, respectively, and a PhD degree in electrical engineering in 1998 from North Carolina State University. Dr. Ahmed joined Intel Corporation in 2015 where he is currently a senior principal engineer and the CTO of Systems Supply Chain organization. Before joining Intel, Dr. Ahmed was with Advanced Micro Devices, Inc., Conexant Systems Inc., Applied Materials, Inc., and Intermolecular, Inc., all in California from 1997 to 2015. Dr. Ahmed serves as a technical program committee member on Display Week Conference since 2016 and won the Semiconductor Research Corporation Best Industry Liaison in 2008. Dr. Ahmed has authored 175+ patents (granted & pending) covering technologies such as semiconductor devices, semiconductors manufacturing equipment, MicroLED device architecture, MicroLED display architecture, metasurface optical elements for display and photonics applications, and optical interconnects technology. Dr. Ahmed was awarded Intel Top Inventor Awards in 2021 and 2022. Dr. Ahmed is known for his strategic thinking and entrepreneurial spirit. He co-founded a company along with others working at JPL/NASA and University of Southern California targeting the manufacturing of III-V photodetectors on 300mm silicon wafers for LIDAR applications.
Host: J Yang, H Wang, C Zhou, S Cronin, W Wu
More Information: Khaled Ahmed Flyer.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Center of Autonomy and AI, Center for Cyber-Physical Systems and the Internet of Things, and Ming Hsieh Institute Seminar Series
Fri, Mar 03, 2023 @ 04:00 PM - 05:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Enrico Bini,
Talk Title: Zero-Jitter Task Chains via Algebraic Rings
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: In many embedded computing domains, such as the automotive one, complex functionalities are implemented by splitting their computation across multiple tasks, forming so-called task chains. The tasks in a chain are functionally dependent and communicate partial computations via shared memory slots. In the addressed automotive context, tasks are triggered according to their period, and communicate data at specific time instants, following the Logical Execution Time (LET) paradigm. This paper first presents a model that captures the fundamental behavior of an arbitrary pair of tasks in a chain, connected in a producer-consumer relationship. Exploiting basics of ring algebra, we analytically and fully characterize the timing of reading and writing events of such pair. The proposed characterization allows modeling the combined behavior of the pair as a single periodic task with clear properties. Finally, we apply these fundamental results to build a lightweight mechanism that eliminates the jitter of an entire chain of arbitrary size. This enables us to model the resulting chain as a single periodic LET task with zero jitter.
Biography: Enrico Bini is an Associate Professor at the Department of Computer Science, University of Turin and he has been holding positions at the Scuola Superiore Sant'Anna (Pisa, Italy) and Lund University, Dept. of Automatic Control (Sweden). In 2004, he completed the PhD on Real-Time Systems at the Scuola Superiore Sant'Anna (recipient of the "Spitali Award" for best PhD thesis of the whole university). In January 2010 he also completed a Master's degree in Mathematics with a thesis on optimal sampling for linear control systems.
He has published more than 100 papers (1 Test-of-Time award by the IEEE TCRTS, 4 best-paper awards) on real-time scheduling, operating systems, optimization methods for real-time and control systems, optimal management of distributed and parallel resources. He is Associate Editor of IEEE Transactions on Computers and Springer's Real-Time Systems journal.
Host: Pierluigi Nuzzo, nuzzo@usc.edu
More Info:
Webcast: : https://usc.zoom.us/j/92742577270?pwd=bEpXaWJudjZWRksyNk5lL1owUUdBQT09Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
WebCast Link: : https://usc.zoom.us/j/92742577270?pwd=bEpXaWJudjZWRksyNk5lL1owUUdBQT09
Audiences: Everyone Is Invited
Contact: Talyia White
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
ECE-S Seminar - Dr Shiry Ginosar
Mon, Mar 20, 2023 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr Shiry Ginosar, Postdoctoral Fellow | University of California, Berkeley
Talk Title: Toward Artificial Social Intelligence
Abstract: As the covid pandemic made abundantly clear-”multi-faceted, face-to-face interaction is the most effective form of communication-”much more so than written text messages or phone calls. And yet, most current AI efforts focus primarily on text systems. In my work, I try to push the limits of machine perception systems toward artificially intelligent agents that can perceive and model the rich, multimodal signals of face-to-face human social interaction: speech and communicative gesture. I will cover several projects that take steps in this direction in the one-to-many scenario of lectures and monologues and one-on-one dyadic face-to-face communication. Through these examples, I will argue that it is possible to model minute, indescribable visual and auditory details of multi-faceted human communication using data-driven methods without relying on annotation. I will then broaden the discussion to questions in social intelligence, such as body language, abstract communicative motion, and spatiotemporal trends of social norms, and suggest directions for future inquiries.
Biography: Shiry Ginosar is a Computing Innovation Postdoctoral Fellow at UC Berkeley, advised by Jitendra Malik. She completed her Ph.D. in Computer Science at UC Berkeley, under the supervision of Alyosha Efros. Prior to joining the Computer Vision group, she was part of Bjoern Hartmann's Human-Computer Interaction lab at Berkeley. Earlier in her career, she was a Visiting Scholar at the CS Department of Carnegie Mellon University, with Luis von Ahn and Manuel Blum in the field of Human Computation. Between her academic roles, she spent four years at Endeca as a Senior Software Engineer. In her distant past, Shiry trained fighter pilots in F-4 Phantom flight simulators as a Staff Sergeant in the Israeli Air Force. Shiry's research has been covered by The New Yorker, The Wall Street Journal, and the Washington Post, amongst others. Her work has been featured on PBS NOVA, exhibited at the Israeli Design Museum and is part of the permanent collection of the Deutsches Museum. Her patent-pending research work inspired the founding of a startup. Shiry has been named a Rising Star in EECS, and is a recipient of the NSF Graduate Research Fellowship, the California Legislature Grant for graduate studies, and the Samuel Silver Memorial Scholarship Award for combining intellectual achievement in science and engineering with serious humanistic and cultural interests.
Host: Dr Antonio Ortega, aortega@usc.edu
Webcast: https://usc.zoom.us/j/93935933525?pwd=cVVWd2JoQzBhcXZuWDAzalp3eEZYUT09More Information: ECE Seminar Announcement 03.20.2023 - Shiry Ginosar.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 248
WebCast Link: https://usc.zoom.us/j/93935933525?pwd=cVVWd2JoQzBhcXZuWDAzalp3eEZYUT09
Audiences: Everyone Is Invited
Contact: Miki Arlen
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
ECE-S Seminar - Dr Jiaqi Gu
Tue, Mar 21, 2023 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr Jiaqi Gu, PhD Candidate | University of Texas at Austin
Talk Title: Light in Artificial Intelligence: Hardware/Software Co-Design for Photonic Machine Learning Computing
Abstract: The proliferation of big data and artificial intelligence (AI) has motivated the investigation of next- generation AI computing hardware to support massively parallel and energy-hungry machine learning (ML) workloads. Photonic computing, or computing using light, is a disruptive technology that can bring orders-of- magnitude performance and efficiency improvement to AI/ML with its ultra-fast speed, high parallelism, and low energy consumption. There has been growing interest in using nanophotonic processors for performing optical neural network (ONN) inference operations, which can make transformative impacts in future datacenters, automotive, smart sensing, and intelligent edge. However, the substantial potential in photonic computing also brings significant design challenges, which necessitates a cross-layer co-design stack where the circuit, architecture, and algorithm are designed and optimized in synergy.
In this talk, I will present my exploration to address the fundamental challenges faced by optical AI and to pioneer a hardware/software co-design methodology toward scalable, reliable, and adaptive photonic neural accelerator designs. First, I will delve into the critical area scalability issue of integrated photonic tensor units and present specialized photonic neural engine designs with domain-specific customization that significantly "compresses" the circuit footprint while realizing comparable inference accuracy. Next, I will present efficient on-chip training frameworks to show how to build a self-learnable photonic accelerator and overcome the robustness and adaptability bottlenecks by directly training the photonic circuits in situ. Then, I will introduce how to close the virtuous cycle between photonics and AI by applying AI/ML to photonic device simulation. In the end, I will conclude the talk with future research directions of emerging domain-specific photonic AI hardware with an intelligent end-to-end co-design & automation stack and deploying it to support real-world applications.
Biography: Jiaqi Gu is a final-year Ph.D. candidate in the Department of Electrical and Computer Engineering at The University of Texas at Austin, advised by Prof. David Z. Pan and co-advised by Prof. Ray T. Chen. Prior to UT Austin, he received his B.Eng. from Fudan University, Shanghai, China, in 2018. His research interests include emerging post-Moore hardware design for efficient computing, hardware/software co-design, photonic machine learning, and AI/ML algorithms.
He has received the Best Paper Award at the ACM/IEEE Asian and South Pacific Design Automation Conference (ASP-DAC) in 2020, the Best Paper Finalist at the ACM/IEEE Design Automation Conference (DAC) in 2020, the Best Poster Award at the NSF Workshop for Machine Learning Hardware Breakthroughs Towards Green AI and Ubiquitous On-Device Intelligence in 2020, the Best Paper Award at the IEEE Transaction on Computer-Aided Design of Integrated Circuits and Systems (TCAD) in 2021, the ACM Student Research Competition Grand Finals First Place in 2021, and Winner of the Robert S. Hilbert Memorial Optical Design Competition in 2022.
Host: Dr Pierluigi Nuzzo, nuzzo@usc.edu
Webcast: https://usc.zoom.us/j/99786583943?pwd=MnlmNGxQUUIwWXpWbk0wTUhrQWsxZz09More Information: ECE Seminar Announcement 03.21.2023 - Jiaqi Gu.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 248
WebCast Link: https://usc.zoom.us/j/99786583943?pwd=MnlmNGxQUUIwWXpWbk0wTUhrQWsxZz09
Audiences: Everyone Is Invited
Contact: Miki Arlen
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
ECE-S Seminar - Dr Ivan de Oliveira Nunes
Wed, Mar 22, 2023 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr Ivan de Oliveira Nunes, Assistant Professor | Rochester Institute of Technology (RIT)
Talk Title: Architectures for Verifiable Confidentiality, Integrity, and Availability in Resource-Constrained Embedded Devices
Abstract: Embedded devices are increasingly ubiquitous and their importance is hard to overestimate. While they often support safety-critical functions (e.g., in medical devices, industrial control systems, and sensor- alarm combinations), these devices are usually implemented under strict cost and energy budgets, using low-end microcontroller units (MCUs) that lack sophisticated security mechanisms. On the lower end of the scale, these devices are small, cheap, and specialized. They tend to host small CPUs, have very limited memory, and run simple software. Nonetheless, if such devices are left unprotected, consequences of forged sensor readings or ignored actuation commands can be catastrophic, particularly, in safety-critical settings. This prompts the following three questions: (1) how to trust data produced, or verify that commands were correctly performed, by a simple remote embedded device? (2) how to actively prevent malware that infects embedded devices from exfiltrating private sensor data? and (3) how to guarantee that safety-critical tasks are always performed in a timely manner, irrespective of malware infections?
Motivated by these questions, this talk will overview a set of architectures based on hardware/software (HW/SW) co-designs to provide provable guarantees about data confidentiality, software integrity, and availability in (potentially compromised) embedded devices. In particular, I will discuss three formally verified HW/SW co-designs, each realizing one of the aforementioned goals (namely APEX [SEC'20], GAROTA [SEC'22], and VERSA [S&P'22]) and how they have been securely implemented atop the popular TI MSP430 micro-controller at a relatively low-cost.
Biography: Ivan De Oliveira Nunes is an Assistant Professor of Computing Security at the Rochester Institute of Technology (RIT). Before RIT, he received his Ph.D. degree in 2021 from the University of California Irvine (UCI). Ivan also holds a Bachelor's degree in Computer Engineering from the Federal University of Espirito Santo (UFES), Brazil, and a Master's degree in Computer Science from the Federal University of Minas Gerais (UFMG), Brazil. In recent years, he has worked on several topics, including IoT Security, Hardware-assisted security, HW/SW Co-design, Network Security, and Applied Cryptography. His research interests span the fields of security and privacy, computing systems, computer networking, applied cryptography, and especially their intersection.
Host: Dr Bhaskar Krishnamachari, bkrishna@usc.edu
Webcast: https://usc.zoom.us/j/93387896454?pwd=MVdwL2NHS1hqSXFlaFhPaE91WHVGUT09More Information: ECE Seminar Announcement 03.23.23 - Ivan de Oliveira Nunes.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 248
WebCast Link: https://usc.zoom.us/j/93387896454?pwd=MVdwL2NHS1hqSXFlaFhPaE91WHVGUT09
Audiences: Everyone Is Invited
Contact: Miki Arlen
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
ECE-S Seminar - Dr Stephen Xia
Thu, Mar 23, 2023 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr Stephen Xia, Postdoctoral Scholar | University of California, Berkeley
Talk Title: Embedded Intelligence Towards Smarter, Healthier and Safer Environments
Abstract: We have seen remarkable growth in smart devices and artificial intelligence in all aspects of our lives. Despite the ever-growing amount of AI around us, our environments are still far from truly intelligent. At the touch of a button, we have access to powerful AI that can easily outperform any human in complex tasks, yet our environments still cannot alert us to dangerous approaching vehicles, nor help us find our lost child in a busy grocery store, something all of us do regularly and intuitively. In this talk, I will present two lines of work that bridge the gap between AI and truly intelligent environments.
First, I will introduce my work on embedded acoustic intelligence. I will start by presenting my work on embedding acoustic intelligence into wearables we commonly carry, such as headphones and helmets, to create safer cities. These low-cost and long-lasting wearables leverage novel architectures that utilize a combination of physics-based models and machine learning techniques to alert pedestrians and construction workers of dangers from oncoming vehicles, ultimately acting as a second pair of ears that create a sphere of safety around us. Next, I will discuss how we can take lessons learned from urban safety to realize a generalized selective audio filtering architecture that allows us to embed robust acoustic intelligence into a diverse set of real-time and resource-constrained applications and platforms. This architecture dynamically leverages the physics of audio and a wide range of data-driven machine learning models to allow engineers and developers to enhance and suppress custom sounds in their applications.
Second, I will present my work on creating more configurable, adaptive, and evolving environments, which are three critical characteristics we need to realize to create truly intelligent environments. I will first touch on several works that allow anyone, regardless of their technical background, to easily deploy and configure complex sensing solutions, such as camera networks for indoor occupant tracking, without needing any domain or expert knowledge. Second, I will introduce my work on adaptive smart home systems that jointly consider human preferences and available resources within the environment to improve home automation and greatly reduce the barrier of entry for smart home technologies. Finally, I will present several works where we realize new dormant sensing and compute capabilities in several platforms, such as drones, by only leveraging processes already present, thereby "evolving" new capabilities completely for free.
Biography: Stephen Xia is a Postdoctoral Scholar in the Department of Electrical Engineering and Computer Sciences at UC Berkeley, advised by Dr. Prabal Dutta and Dr. Xiaofan (Fred) Jiang. Stephen received his Ph.D. in 2022 from Columbia University and his B.S. in 2016 from Rice University, all in Electrical Engineering. His research lies at the intersection between systems, embedded machine learning, and signal processing, spanning areas in mobile and embedded systems, Internet-of-Things, cyber-physical systems, artificial intelligence, and smart health. His work takes a joint physics-based and data-driven approach to realize truly intelligent and autonomous environments by embedding and dynamically utilizing compute, sensing, actuation, storage, and networking resources all around us. Stephen's research has been highlighted by many popular media outlets, including Mashable, Fast Company, and Gizmodo, and has received various distinctions, including Best Demo Awards at ACM SenSys 2021, ACM/IEEE IPSN 2020, ACM/IEEE IoTDI 2018, and the Best Presentation Award at IEEE VNC 2018.
Host: Dr Murali Annavaram, annavara@usc.edu
Webcast: https://usc.zoom.us/j/93387896454?pwd=MVdwL2NHS1hqSXFlaFhPaE91WHVGUT09More Information: ECE Seminar Announcement 03.23.2023 - Stephen Xia.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 248
WebCast Link: https://usc.zoom.us/j/93387896454?pwd=MVdwL2NHS1hqSXFlaFhPaE91WHVGUT09
Audiences: Everyone Is Invited
Contact: Miki Arlen
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Semiconductors & Microelectronics Technology Seminar - Heng Wang, Thursday, March 23 at 11am in EEB 132
Thu, Mar 23, 2023 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Heng Wang, Illinois Institute of Technology
Talk Title: The Thermoelectric Effect under Photon Excitation
Series: Semiconductors & Microelectronics Technology
Abstract: Thermoelectric phenomena allow energy conversion between heat and electricity, which can be used in energy harvesting, solid state refrigeration, and temperature regulation. The physical origin of these phenomena are well understood with semi-classic theories such as the Boltzmann transport theory. Carefully conducted experiments often reveal results as predicted by such theories. Nonetheless, carrier transport not only happens when the system is near thermal equilibrium, as for the case of thermoelectric phenomena, but also happens in excited systems with electrons far from thermal equilibrium. And this draws our interest over the past a few years. In this talk we will discuss the characteristic, the physical origin, and measurement strategies of the thermoelectric effect under photon excitation (which is one version of the photo-thermoelectric phenomena). We will discuss a few case studies, what can these results tell us about the materials, and potential applications. There are still much to understand with this effect and we hope this discussion could stimulate more interest and applications as well.
Biography: Heng Wang is an assistant professor at department of Mechanical, Materials and Aerospace Engineering, Illinois Institute of Technology. He received his B.S. in materials science and engineering from Tsinghua University, China, and his PhD in materials science from California Institute of Technology. Before joining IIT he worked as a postdoctoral researcher at the Molecular Foundry, Lawrence Berkeley National Lab. He has over ten years of research experience in thermoelectric materials, physics, and devices, with more than 13000 citations. His current research interests include high-performance thermoelectric materials, as well as device design, manufacturing, and new applications. In addition, he is particularly interested in the interplay of photoelectric and thermoelectric phenomena.
Host: J Yang, H Wang, C Zhou, S Cronin, W Wu, J. Ravichandran
More Information: HengWang_0323.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
ECE-EP seminar - David Burghoff, Friday, March 24th at 10am in EEB 132
Fri, Mar 24, 2023 @ 10:00 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: David Burghoff, Notre Dame
Talk Title: Broadband quantum and nonlinear photonics at long wavelengths
Series: ECE-EP Seminar
Abstract: While the longwave infrared and terahertz ranges have potential to revolutionize disease detection and environmental monitoring, there is currently a lack of compact broadband sources and integrated photonics platforms. I will discuss some of the work of my group that seeks to address this grand challenge. First, I will discuss our development of quantum cascade laser-based frequency combs, light sources that fill the gap between broadband incoherent sources and lasers. I will showcase how we created the first combs in the terahertz range and how our experimental investigations of these combs led to our discovery of a new fundamental comb state that manifests in any laser at any wavelength. Next, I will delve into our development of ultra-low-loss platforms for long wavelengths based on hybrid photonic integration, which allowed us to create optical resonators in the longwave infrared with quality factors two orders of magnitude better than the state-of-the-art. Finally, I will discuss our creation of ptychoscopy, a new sensing modality that allows for ultra-precise measurements of optical spectra. This measurement enables the measurement of remote signals with quantum-limited frequency resolution over the entire bandwidth of a comb, for the first time allowing incoherent spectra to be characterized with the precision techniques of combs.
Biography: David Burghoff is an Assistant Professor at Notre Dame, where his lab blends photonics with quantum devices to develop novel sensing and computing modalities. Prior to this, he was a postdoctoral fellow and research scientist at the Massachusetts Institute of Technology, where he led a team working in DARPA's SCOUT program. He also received his Ph.D. from MIT, where he won the J.A. Kong Award for MIT's Outstanding Electrical Engineering Thesis. He co-chaired the 2022 and 2020 International Quantum Cascade Laser School and Workshop, and he was one of only five faculty nationally named as a 2022 Moore Inventor's Fellow. His other awards include the ONR Young Investigator Program Award, the NSF CAREER Award, the AFOSR Young Investigator Program Award, and the Intelligence Community Postdoctoral Fellowship.
Host: ECE-Electrophysics
More Information: David Burghoff Seminar Announcement.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Photonics Seminar - Stefan Badescu, Friday, March 24th at 10:30am in EEB 248
Fri, Mar 24, 2023 @ 10:30 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Stefan Badescu, Sensors Directorate, AFRL
Talk Title: The role of gain-loss distribution in topological laser arrays
Series: Photonics Seminar Series
Abstract: Motivated by earlier demonstrations of III-V topological lasers, I will present insights from modeling of ring arrays with engineered distributions of gain and loss. In addition, I will discuss the influence of Corbino geometrical parameters on the bulk density of states and on the properties of topological states, including the interplay between disorder, quality factors, and gain contrast. In the second part I will present progress with fabrication of device structures as part of a collaboration between Air Force Research Laboratory and the Ohio State University.
Biography: Stefan C. Badescu received his PhD in theoretical condensed matter physics in 2002 from Brown University, with work in quantum diffusion and in computational material science. From 2002 he was a National Research Council fellow at Naval Research Laboratory, with work in quantum computing. From 2005 he was a research faculty with University of Maryland at College Park with work on spin qubits and on carbon materials. He joined the Air Force in 2011 with computational work on wide bandgap materials for electronics and on III-V semiconductors. More recently he led a Topological Photonics subproject on 'Topologically Enabled Devices'.
Host: Mercedeh Khajavikhan, Michelle Povinelli, Constantine Sideris; Hossein Hashemi; Wade Hsu; Mengjie Yu; Wei Wu; Tony Levi; Alan E. Willner; Andrea Martin Armani
More Information: Stefan Badescu Flyer.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
ECE-S Seminar Announcement: Dr. Christian Cuba Samaniego
Fri, Mar 24, 2023 @ 01:00 PM - 02:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Christian Cuba Samaniego, Research Fellow, Department of Immunology, Harvard Medical School
Talk Title: Adapting feedback control and pattern recognition paradigms for biotechnological applications
Abstract: Engineering synthetic genetic networks with desired behavior for robust adaptation or complex decision-making is challenging. Current approaches rely on different negative regulation techniques or logic-based operators, which suffer from suboptimal performance. To address this limitation, we introduce two design principles: (1) ultrasensitive input-output behavior and (2) tunable thresholds. Here, we engineer ultrasensitive-based networks to both achieve adaptive behavior through feedback control and build synthetic genetic programs for molecular pattern recognition by implementing neural computing networks in living cells.
Biography: Christian Cuba Samaniego received his BS degree in Mechatronic Engineering from "Universidad Nacional de Ingenieria" in Lima-Peru in 2009. He obtained his PhD in Mechanical Engineering from University of California Riverside in 2017 under the supervision of Prof. Elisa Franco. He joined the Biological Engineering Department at Massachusetts Institute of Technology as a postdoc under the supervision of Prof. Ron Weiss (2019), and Mechanical and Aerospace Engineering Department in the lab of Prof. Elisa Franco (2022). Currently, Christian is a research fellow in the Department of Immunology at Harvard Medical School in the lab of Prof. Ming-Ru Wu. His current research is at the interface of Control Theory, Systems and Synthetic Biology, and Machine Learning. I am specially interested in the design, analysis and applications of biomolecular feedback control systems and molecular neural networks for decision-making (molecular pattern recognition) in living cells.
Host: Dr. Urbashi Mitra (ubli@usc.edu)
Webcast: https://usc.zoom.us/j/93768871353?pwd=c0haOXhxREVBY05VbUs0cDh4YTMzdz09More Information: ECE Seminar Announcement-Cuba-Samaniego-032423.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: https://usc.zoom.us/j/93768871353?pwd=c0haOXhxREVBY05VbUs0cDh4YTMzdz09
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
ECE-S Seminar - Dr Alireza Fallah
Mon, Mar 27, 2023 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr Alireza Fallah, PhD Candidate | Department of Electrical Engineering and Computer Science | Laboratory for Information and Decision Systems (LIDS), MIT
Talk Title: Data Markets and Learning: Privacy Mechanisms and Personalization
Abstract: The fuel of machine learning models and algorithms is the data usually collected from users, enabling refined search results, personalized product recommendations, informative ratings, and timely traffic data. However, increasing reliance on user data raises serious challenges. A common concern with many of these data-intensive applications centers on privacy -” as a user's data is harnessed, more and more information about her behavior and preferences is uncovered and potentially utilized by platforms and advertisers. These privacy costs necessitate adjusting the design of data markets to include privacy-preserving mechanisms.
This talk establishes a framework for collecting data of privacy-sensitive strategic users for estimating a parameter of interest (by pooling users' data) in exchange for privacy guarantees and possible compensation for each user. We formulate this question as a Bayesian-optimal mechanism design problem, in which an individual can share her data in exchange for compensation but at the same time has a private heterogeneous privacy cost which we quantify using differential privacy. We consider two popular data market architectures: central and local. In both settings, we use Le Cam's method to establish minimax lower bounds for the estimation error and derive (near) optimal estimators for given heterogeneous privacy loss levels for users. Next, we pose the mechanism design problem as the optimal selection of an estimator and payments that elicit truthful reporting of users' privacy sensitivities. We further develop efficient algorithmic mechanisms to solve this problem in both privacy settings. Finally, we consider the case that users are interested in learning different personalized parameters. In particular, we highlight the connections between this problem and the meta-learning framework, allowing us to train a model that can be adapted to each user's objective function.
Biography: Alireza Fallah is a Ph.D. candidate at the department of Electrical Engineering and Computer Science (EECS) and the Laboratory for Information and Decision Systems (LIDS) at Massachusetts Institute of Technology (MIT). His research interests are machine learning theory, data market and privacy, game theory, optimization, and statistics. He has received a number of awards and fellowships, including the Ernst A. Guillemin Best MIT EECS M.Sc. Thesis Award, Apple Scholars in AI/ML Ph.D. fellowship, MathWorks Engineering Fellowship, and Siebel Scholarship. He has also worked as a research intern at the Apple ML privacy team. Before joining MIT, he earned a dual B.Sc. degree in Electrical Engineering and Mathematics from Sharif University of Technology, Tehran, Iran.
Host: Dr Mahdi Soltanolkotabi, soltanol@usc.edu
Webcast: https://usc.zoom.us/j/93606233291?pwd=dGQxNWRZVmE1bzZvRVVYRTd1Mk1VQT09More Information: ECE Seminar Announcement 03.27.2023 - Alireza Fallah.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 248
WebCast Link: https://usc.zoom.us/j/93606233291?pwd=dGQxNWRZVmE1bzZvRVVYRTd1Mk1VQT09
Audiences: Everyone Is Invited
Contact: Miki Arlen
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
MoBI Seminar: Measuring Attention Control: Oscillations, Connectivity, ADHD
Mon, Mar 27, 2023 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Agatha Lenartowicz, PhD, Associate Professor, Department of Psychiatry and Biobehavioral Sciences, UCLA
Talk Title: Measuring Attention Control: Oscillations, Connectivity, ADHD
Abstract: In this talk I will discuss our efforts to qualify and quantify the mechanisms of attention control. I will review neuroimaging measures - oscillations as measured by EEG, connectivity estimated by fMRI - that track attention-related processes, including how they may go awry in ADHD. I will also discuss the emerging questions in the measurement and conceptualization of these processes, their measurement, and their application to real-world settings.
Biography: Agatha Lenartowicz, Ph.D., is Associate Professor in the Department of Psychiatry and Biobehavioral Sciences at UCLA. She holds a Ph.D. degree in Psychology and Neuroscience from Princeton University, and has over 15 years' experience in cognitive neuroscience of attention and its deficits. Over the past seven years, she has worked to develop a translational arm to her research, including basic mechanisms and rehabilitative approaches to attention deficits in ADHD, and is a past Klingenstein Third Generation Fellow and a NARSAD Young Investigator in recognition of this translational work. She is a pioneer in the use of concurrent EEG-fMRI recordings in the study of the attention system and especially its disorders in ADHD. She is also actively building a mobile-EEG research program to assess attention in the real-world, in particular in the classroom. Dr. Lenartowicz is the Operations Director at the Staglin OneMind IMHRO Center for Cognitive Neuroscience and is the director of the EEG Analysis Core at the Semel Institute of Neuroscience and Human Behavior.
Host: Dr. Karim Jerbi, karim.jerbi.udem@gmail.com and Dr. Richard M. Leahy, leahy@sipi.usc.edu
Webcast: https://usc.zoom.us/j/96014499242?pwd=a0NFMS93VUhOaUhuc1JCMlQ3TUludz09Location: Hughes Aircraft Electrical Engineering Center (EEB) - 539
WebCast Link: https://usc.zoom.us/j/96014499242?pwd=a0NFMS93VUhOaUhuc1JCMlQ3TUludz09
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
ECE-EP seminar - Eric Pollmann, Monday, March 27th at 2pm in EEB 248
Mon, Mar 27, 2023 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Eric Pollmann, Columbia University
Talk Title: Implantable CMOS Optoelectronics for Bidirectional Neural Interfacing
Series: ECE-EP Seminar
Abstract: Optical neurotechnologies use light to interface with neurons and overcome the limitations associated with penetrating electrodes and glial scarring in electrophysiology. Miniaturized microscopes monitor and manipulate neural activity with high spatial-temporal precision over large cortical extents; however, current implementations still require a chronic opening in the dura and skull that matches or exceeds the field-of-view of the implant. Viable translation of these technologies to human clinical use will require a much more noninvasive, fully implantable form factor. In my talk, I will introduce the first subdural CMOS optical probe (SCOPe) for bidirectional optical stimulation and recording in mouse and nonhuman primates. This radical improvement in implantability is achieved through the design of a CMOS ASIC consisting of monolithically integrated SPADs for low-light-intensity imaging and dual color flip-chip bonded micro-LEDs for light emission. Along with a fully flexible electronic packaging, I will present the heterogeneous integration of the light sources, filters, and lens-less computational imaging masks required for a high-performance optical neural interface. This transformative, ultrathin, miniaturized device was validated in a sequence of in vivo mouse and nonhuman primate experiments and defines a path for the eventual human translation of a new generation of brain-machine interfaces based on light.
Biography: Eric H. Pollmann received the Ph.D. degree in 2023 advised by Kenneth Shepard in the Department of Electrical Engineering at Columbia University. Previously, he received the B.S. degree in Electrical Engineering from the Georgia Institute of Technology in 2017, and the M.S. degree in Electrical Engineering from Columbia University in 2018. His research lies at the intersection of integrated circuit and system design, applied optics, and neurotechnology and has resulted in multiple publications in top-tier IEEE conferences and journals. In addition to research work, he was the recipient of the 2021 IEEE CASS Predoctoral Fellowship.
Host: ECE-Electrophysics
More Information: Eric Pollmann Seminar Announcement.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
ECE-S Seminar - Dr Yupeng Zhang
Tue, Mar 28, 2023 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr Yupeng Zhang, Assistant Professor | Department of Computer Science and Engineering, Texas A&M University
Talk Title: Zero-Knowledge Proofs: from Theory to Practice
Abstract: A zero-knowledge proof is a powerful cryptographic tool to establish trust without revealing any sensitive information. It allows one party to convince others that a claim about the properties of secret data is true, while the data remains confidential. Zero-knowledge proofs have been widely used in blockchains and crypto-currencies to enhance privacy and improve scalability. They can also be applied to prove the fairness and integrity of machine learning inferences and the correctness of program analysis.
In this talk, I will present my research in this area to bring zero-knowledge proofs from theory to practice with new efficient algorithms. In the first part, I will talk about a new framework to build general-purpose zero-knowledge proofs for any computations.
In this framework, we were able to develop the first zero- knowledge proof scheme with a linear proof generation time. In the second part, I will talk about our recent works on new applications of zero-knowledge proofs in machine learning and program analysis. The scalability and efficiency of the schemes can be further improved with new sublinear algorithms. Finally, I will discuss my future research plans, including memory-efficient and distributed algorithms for scalable blockchains and smart contracts, privacy-preserving machine learning, and cloud computing with full security and privacy.
Biography: Yupeng Zhang is an assistant professor in the Computer Science and Engineering department at the Texas A&M University. His research is in the area of cybersecurity and applied cryptography, developing efficient and scalable cryptographic protocols to enhance the security and privacy of data and computations in real-world applications. He has been working on zero-knowledge proofs, secure multiparty computations, and their applications in blockchain, machine learning and program analysis. He has published many papers in top security and cryptography conferences including S&P, CCS, USENIX Security and Crypto. He is the recipient of the NSF CAREER award, the Facebook Faculty award, the ACM SIGSAC best dissertation award runners-up and the Google PhD fellowship. Before joining Texas A&M, he was a postdoctoral researcher at UC Berkeley, and he obtained his Ph.D. from the University of Maryland.
Host: Dr Sandeep Gupta, sandeep@usc.edu | Dr Murali Annavaram, annavara@usc.edu
More Information: ECE Seminar Announcement 03.27.2023 - Yupeng Zhang.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 248
Audiences: Everyone Is Invited
Contact: Miki Arlen
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
ECE-S Seminar - Dr Corey Baker
Wed, Mar 29, 2023 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr Corey Baker, Assistant Professor | Department of Computer Science, University of Kentucky
Talk Title: Tolerable Delay: Overcoming Intermittent Connectivity With Entity Centered Systems and Applications
Abstract: Reliance on Internet connectivity is detrimental where modern networking technology is lacking, power outages are frequent, or network connectivity is expensive, sparse, or non-existent (i.e., underserved urban communities, rural areas, natural disasters). Though there has been much research conducted around 5G and 6G serving as the conduit for connecting any and everything; scalability issues are a major concern and real-world deployments have been limited. Realization of the limitations resulting from reliance on Internet and cellular connectivity are prevalent in mHealth applications where remote patient monitoring has improved the timeliness of clinical decision making, decreased the length of hospital stays, and reduced mortality rates everywhere in the nation except in medically underserved and rural communities in the US like Appalachian Kentucky, where chronic disease is approximately 20% more prevalent than other areas. As an alternative, deploying resilient networking technology can facilitate the flow of information in resource-deprived environments to disseminate non-emergency, but life saving data. In addition, leveraging opportunistic communication can supplement cellular networks to assist with keeping communication channels open during high-use and extreme situations. This talk will discuss the pragmatic applications of designing opportunistic systems for particular entities (patients, citizens, etc.); specifically applied to healthcare and empowering low-cost smart cities, permitting any community to become smart and connected while simultaneously keeping network connectivity costs to a minimum.
Biography: Corey E Baker, PhD, is an Assistant Professor in the Department of Computer Science at the University of Kentucky (UK). His work centers around making data accessible in the midst of intermittent and limited connectivity while minimizing delay. He currently a directs the Network Reconnaissance (NetRecon) Lab [https://www.cs.uky.edu/~baker/research/ ] where his research investigates full stack systems for distributing, protecting, and authenticating data in opportunistic networking scenarios for rural remote patient monitoring, smart cities, and natural disasters to improve the livelihood of people. Professor Baker received a B.S. degree in Computer Engineering (CE) from San Jose State University (SJSU), a M.S. in Electrical and Computer Engineering (ECE) from California State University, Los Angeles (CSULA), and M.S. and Ph.D. degrees in CE from the University of Florida (UF). After the completion of his graduate studies, Baker was a University of California Presidents Postdoctoral Fellow in the ECE department at the University of California San Diego (UCSD) and a Visiting Scholar in the ECE department at the University of Southern California (USC). In 2019, Dr. Baker received the UK Inclusive Excellence Award [http://uknow.uky.edu/campus-news/office-institutional-diversity-awards-five-inclusive-excellence-awards?j=121590&sfmc_sub=129146772&l=18687_HTML&u=3630624&mid=10966798&jb=0]for his work in creating a graduate campus visit program and diversifying Computer Science and the College of Engineering at the doctoral level. Baker is currently the Region 6 (West Coast) Advisory Board Chairperson for the National Society of Black Engineers.
Host: Dr Massoud Pedram, pedram@usc.edu | Dr Sandeep Gupta, sandeep@usc.edu
Webcast: https://usc.zoom.us/j/94295584258?pwd=VzlITkJaa1FBQ05ERFYvRXZ2MUwvUT09More Information: ECE Seminar Announcement 03.29.2023 - Corey Baker.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132
WebCast Link: https://usc.zoom.us/j/94295584258?pwd=VzlITkJaa1FBQ05ERFYvRXZ2MUwvUT09
Audiences: Everyone Is Invited
Contact: Miki Arlen
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
ECE-S Seminar: Dr. Priyanka Raina
Thu, Mar 30, 2023 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Priyanka Raina, Assistant Professor of Electrical Engineering, Stanford University
Talk Title: Agile Design of Domain-Specific Accelerators and Compilers
Abstract: With the slowing of Moore's law, computer architects have turned to domain-specific hardware accelerators to improve the performance and efficiency of computing systems. However, programming these systems entails significant modifications to the software stack to properly leverage the specialized hardware. Moreover, the accelerators become obsolete quickly as the applications evolve. What is needed is a structured approach for generating programmable accelerators and for updating the software compiler as the accelerator architecture evolves with the applications. In this talk, I will describe a new agile methodology for co-designing programmable hardware accelerators and compilers. Our methodology employs a combination of new programming languages and formal methods to automatically generate the accelerator hardware and its compiler from a single specification. This enables faster evolution and optimization of accelerators, because of the availability of a working compiler. I will showcase this methodology using Amber, a coarse-grained programmable accelerator for imaging and machine learning (ML) we designed and fabricated using our flow in TSMC 16 nm technology. I will show how we agilely evolved Amber into Onyx, our next generation accelerator, using an application-driven design space exploration framework called APEX enabled by our hardware-compiler co-design flow.
Biography: Priyanka Raina is an Assistant Professor of Electrical Engineering at Stanford University. She received her B.Tech. degree in Electrical Engineering from the IIT Delhi in 2011 and her S.M. and Ph.D. degrees in Electrical Engineering and Computer Science from MIT in 2013 and 2018. Priyanka's research is on creating high-performance and energy-efficient architectures for domain-specific hardware accelerators in existing and emerging technologies. She also works on methodologies for agile hardware-software co-design. Her research has won best paper awards at VLSI, ESSCIRC and MICRO conferences and in the JSSC journal. She has also won the NSF CAREER Award, the Intel Rising Star Faculty Award, Hellman Faculty Scholar Award and is a Terman Faculty Fellow.
Host: Dr. Murali Annavaram, annavara@usc.edu
Webcast: https://usc.zoom.us/j/93842345540?pwd=V3U1TUgwK2pyTE9BWThDeCtxbDJOdz09More Information: ECE Seminar Announcement-Raina, Priyanka-033023.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
WebCast Link: https://usc.zoom.us/j/93842345540?pwd=V3U1TUgwK2pyTE9BWThDeCtxbDJOdz09
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Munushian Seminar - Jun Ye, Friday, March 31st at 9am in EEB 132
Fri, Mar 31, 2023 @ 09:00 AM - 10:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Jun Ye, JILA, National Institute of Standards and Technology and University of Colorado Boulder
Talk Title: Coherence, entanglement, and clock: from emergent phenomena to fundamental physics
Series: Munushian Seminar Series
Abstract: Precise quantum state engineering, many-body physics, and innovative laser technology are revolutionizing the performance of atomic clocks and metrology, providing opportunities to explore emerging phenomena and probe fundamental physics. Recent advances include measurement of gravitation time dilation across a few hundred micrometers, and employment of quantum entanglement for clock comparison.
Biography: Jun Ye is a Fellow of JILA, a Fellow of NIST, and a member of the National Academy of Sciences. His research focuses on the development of new tools for light-matter interactions and their applications in precision measurement, quantum science, and frequency metrology. He has co-authored over 400 scientific papers and delivered 600 invited talks. Among his many awards and honors are N.F. Ramsey Prize (APS), I.I. Rabi Award (IEEE), I.I. Rabi Prize (APS), and W.F. Meggers Award (OSA). His recent 2022 honors include Breakthrough Prize in Fundamental Physics, Niels Bohr Institute Medal of Honour, Herbert Walther Award, and Vannevar Bush Fellowship.
Host: ECE-Electrophysics
More Information: Flyer Munushian seminar Jun Ye.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
