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Prof. Jin Zhou at the Wilson Lecture Series

Radio-Frequency Commutated Circuits for Future Wireless Systems

Wireless communications and sensing have become ubiquitous. With the proliferation of wireless technologies, however, the electromagnetic spectrum has become increasingly congested. The development of interference-resilient and broadband wireless systems has become one of the biggest hurdles moving forward. 

In this talk, I will demonstrate how to use radio-frequency (RF) commutated circuits to enable unique analog signal processing capabilities for future wireless transceivers. First, I will introduce a new class of reconfigurable RF filtering front-end that fuses acoustic filters into a commutated network. In a second example, I will show how a commutated circuit helps to achieve RF self-interference cancellation and analog-domain autonomous adaptation at the same time for full-duplex wireless. Finally, I will briefly touch upon commutated-inductor-capacitor broadband delay circuits for interference cancellation and beamforming. 

About the speaker

Jin Zhou received his Ph.D. in electrical engineering from Columbia University in 2017. Since 2017, he has been with the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign as an Assistant Professor. He was a recipient of the NSF CAREER award in 2021 and is a co-founder of the IEEE Solid-State Circuits Society central Illinois chapter. His research focuses on radio-frequency and mm-wave integrated circuits and systems for wireless applications.

Prof. Dionisios Margetis at the Wilson Lecture Series

Modeling homoepitaxial crystal growth: a tale of three scales

Epitaxial growth is a process in which a crystalline material is deposited on top of another one and takes on the crystalline orientation of the substrate. This talk addresses recent advances and challenges in answering the following question: How can one connect models of homoepitaxial growth or relaxation across distinct length scales? The models include: (i) atomistic master equations; (ii) nanoscale motion laws for line or point defects; and (iii) continuum laws for the surface height profile. Surface phenomena may exhibit an effective behavior dominated by microscale events. This talk will focus on these issues via selected examples.

About the speaker

Dio Margetis is a professor of Mathematics and the Institute for Physical Science and Technology at the University of Maryland, College Park. After receiving the Electrical Engineering Diploma from the National Technical University of Athens, he went on to Harvard for a PhD in applied physics. He carried out postdoctoral work at Harvard and MIT, and joined the faculty at the University of Maryland in 2006. He has been a full professor since 2012. He was a recipient of an NSF Career Award, two Research and Scholarship Awards, and Dean's Award for Excellence in Teaching at Maryland, and Dean's Prize for Excellence in Graduate Education by MIT. He was elected as an Ordway Distinguished Lecturer and Visitor at the University of Minnesota. His research focuses on epitaxial growth, plasmonics, and quantum dynamics with the emphasis on describing the connections between models across length and time scales, from the atomistic to the continuum.

 

Brains Live!

The Bell Museum presents Brains Live! You will hear from neuroscientist Dr. Manny Esguerra for this special Brain Awareness Week presentation. During the live event (from a lab at the University of Minnesota), Dr. Esguerra will show us a real human brain and discuss what the brain does, how it can trick you, and what parts of a brain do important jobs.

More details at the Bell Museum 

Professor Joseph S. Friedman at the Wilson Lecture Series

Spintronic Phenomena for Unconventional Computing Applications

The rich physics present in a wide range of spintronic materials and devices provide opportunities for a variety of computing applications. This presentation will describe four distinct proposals to leverage spintronic phenomena for reversible computing, neuromorphic computing, reservoir computing, and hardware security. The presentation will begin with an introduction to reversible computing, and the primary focus of this presentation will be on a solution for reversible computing in which magnetic skyrmions propagate and interact in a scalable system with the potential for energy dissipation below the Landauer limit. An approach for neuromorphic computing based on the stochastic switching of spin-transfer torque magnetic tunnel junctions (MTJs) will then be discussed, including results from the first experimental demonstration of a neuromorphic network with MTJ synapses. Next, a reservoir computing system will be described that efficiently leverages the dynamics of frustrated nanomagnets. This presentation will conclude with a logic locking paradigm based on nanomagnet logic, the first logic locking system that is secure against both physical and algorithmic attacks.

About the speaker

Joseph S. Friedman is an assistant professor of electrical and computer engineering at the University of Texas at Dallas and director of the NeuroSpinCompute Laboratory. He holds a Ph.D. and M.S. in electrical and computer engineering from Northwestern University and undergraduate degrees from Dartmouth College. He was previously a CNRS Research Associate with Université Paris-Saclay, a summer faculty fellow at the U.S. Air Force Research Laboratory, a visiting professor at Politecnico di Torino, a guest scientist at RWTH Aachen University, and worked on logic design automation at Intel Corporation. Friedman is a member of the editorial boards of IEEE Transactions on Nanotechnology and Microelectronics Journal, has been on the technical program committees of DAC, DATE, SPIE Spintronics, NANOARCH, GLSVLSI, VLSI-SoC, ICRC, NICE, ICECS, NMDC, and LASCAS, and the ISCAS and AICAS review committees. He has been a member of the organizing committee of NANOARCH, VLSI-SoC, and DCAS, is the vice-chair of the Dallas Chapter of the IEEE Electron Devices Society, and is the founder and chairperson of the Texas Symposium on Computing with Emerging Technologies (ComET). He has also been awarded the NSF CAREER award.
 

Prof. Matthew Lakin at the Wilson Lecture Series

Engineering molecules and cells for programmable biology

Programming the biological world is an important grand challenge for science and engineering. The fields of molecular computing and synthetic biology address this challenge by implementing computational functions using engineered biomolecules and engineered cells, respectively. The long-term goal of my research is to enable programmable control of biomolecular computing systems for use in practical applications for which micro-processors cannot be used, in particular, for biomedical diagnostics within living cells. This talk will outline three strands of research ongoing in my group: on computational tools and languages for biodesign, on DNA nanotechnology and molecular programming, and on synthetic biology and synthetic cells. The common thread tying these research directions together is the application of concepts and tools from computer science to experimental bioengineering.

About the speaker

Matthew Lakin is an Assistant Professor in the Computer Science Department at the University of New Mexico. He is also affiliated with the UNM Center for Biomedical Engineering and the Department of Chemical & Biological Engineering. Lakin obtained his Ph.D. in Computer Science from the University of Cambridge and was subsequently a postdoc at Microsoft Research. His work integrates computational and experimental work in DNA nanotechnology and synthetic biology to program biomolecular assemblies, cells, and synthetic cell-like systems. His long-term research goal is to apply biomolecular computing systems to address important societal challenges, with a particular focus on applications where regular computing devices cannot be deployed, such as the autonomous diagnosis and treatment of disease in living cells. Lakin received the NSF CAREER award in 2021.

International Student Virtual Career Fair Preparation Workshop 

Many UMN colleges will be hosting virtual internship and career fairs in February! These fairs are opportunities to connect with potential employers and learn more about their internship and career opportunities. Career Services and ISSS staff are arranging International Student Virtual Career Fair Preparation Workshops. You will learn what to expect at the fair, how to interact with employers, and what work authorization options are available to you. We hope to address any questions you might have. 

These virtual workshops will be held on Zoom, and a recording will be available later. All UMN International Students are welcome to join. We recommend attending one of the two available workshops. Use the Handshake link to learn more, and register via the Zoom link to join.

If you have questions, please email Jane, UMN International Career Consultant, at sitt0036@umn.edu

Minnesota Night Skies in March

The brightest star in the night sky remains high above the horizon in March, join us as we explore the sky around Sirius, the Dog Star. Using its bright light we can find dozens of different deep sky objects, and a host of other constellations. If you’re not a dog person, don’t despair! Our early spring sky features the magnificent Leo, who can help us spot magnificent galactic clusters. 

Don’t forget to bring your questions, as we’ll save time for Q & A.

Be sure to download your own current Minnesota Skies Guide: https://www.bellmuseum.umn.edu/star-map

Small Talk is a Big DEAL - Come Learn with SELS & Career Services

Student English Language Support (SELS) and Career Services are collaborating to help international students successfully navigate small talk conversations. Small talk is a big part of English conversations whether you are making friends after class or networking at a professional event. In this interactive workshop, you will learn what topics make good small talk and how to start, maintain, and politely end small talk conversations with ease. All UMN International students are welcome.

This is an in-person event in a large, spacious classroom in Bruininks Hall (room 412). Please email Jane at sitt0036@umn.edu with any questions.

IEEE UMN and General Mills Internship Info Session

Join IEEE UMN on Thursday, Feb 17th from 5pm-6pm in Keller 3-125 for an information session on internship and full-time roles that General Mills is looking to fill for their Fall program. There will be ECE alumni in attendance who will provide details about the program and the experience that it can provide. There will also be an abundance of snacks from General Mills to eat during the event and take home as well! 

RSVP is required for the event.

Prof. Rajeev Balasubramonian at the Wilson Lecture Series

Memory Defenses - Elevation from Obscurity to Headlines  

Several recent demonstrations have highlighted that modern processors are likely being shipped with latent vulnerabilities that are impossible to anticipate. To handle a large suite of possible attacks, processors may need to incorporate an array of defenses. Attacks like Meltdown and Spectre may have finally pushed these defenses from the shadows of academia into possible commercial reality.

This talk will describe three primary vulnerabilities in the memory system, and efficient hardware defenses to address each of these vulnerabilities. The first vulnerability is leakage of a program's memory intensity through memory controller timing channels. The second is a violation of memory integrity. The third is leakage of a program's memory access pattern through exposed DDR buses. With recent innovations, the performance overheads of defenses for the first two vulnerabilities have been reduced to under 2X, while much work remains for the third vulnerability. 

About the speaker

Rajeev Balasubramonian is a professor at the School of Computing, University of Utah. He received his B.Tech in Computer Science and Engineering from the Indian Institute of Technology, Bombay in 1998. He received his MS (2000) and Ph.D. (2003) degrees from the University of Rochester. His primary research interests include memory systems, security, and application-specific architectures. Balasubramonian is a recipient of a US National Science Foundation CAREER award, an IBM Faculty Partnership award, an HP Innovation Research Program award, an Intel Outstanding Research Award, various teaching awards at the University of Utah, and multiple best paper awards. He was elevated to IEEE Fellow in 2021 for contributions to in-memory computation and memory interface design.