Events Listing

Join the IEEE Tech Subcommittee as they take apart and diagnose a broken PC.

Thursday, Nov. 18th at 6 pm in the IEEE room (Keller 2-110)

Employment Based Visas and Permanent Residency Session with Immigration Attorney, John Medeiros

Join the International Student and Scholar Services for a live “Watch Party” of a recorded presentation discussing the various types of employment-based visas (including H-1B) and paths to permanent residency (“green card”). The presentation will be done by John Medeiros, an immigration attorney with nearly 30 years of experience in immigration law.  This event will be held via Zoom on Wednesday, November 17th at 11:30am CST, and it will include a live Question and Answer opportunity with John who will be present to address your questions. This event will also be recorded and shared on the ISSS website. There will also be a separate workshop exclusively about H-1B visas in early December.

Zoom Registration: z.umn.edu/2021EmploymentVisaSession

Join IEEE and WIE as engineer and entrepreneur Brian Blow visits for a tech talk titled "Analog Circuit Applications in Implantable Cardiac Pacemakers." On November 16 in 3-125 Keller Hall at 8:15 - 9:30am.  

The healthy human heart is a complex analog electro-chemical-mechanical organ. The unhealthy heart is even more complex. Blow will be discussing the evolution of implantable cardiac pacemakers, including key elements to more accurately emulate healthy heart behaviors. Features, elements of circuit design, and design constraints will be discussed.

IEEE UMN holds its weekly board meetings on Sundays at 7:30pm via Zoom. All are welcome to join as the committee plans, discusses, and organizes events and networking opportunities. This is a great way to become involved in the decisions that IEEE makes! 

Link for the Zoom meeting: https://umn.zoom.us/j/94707068539

Data compression and sequence analysis for two non-Markovian sources 

Although Markov models of sequences are ubiquitous in information theory and statistical signal processing, there are critical applications where Markovianity does not hold. This talk focuses on compression and analysis methods for two such cases: sources with long-range redundancy and evolutionary sources. Long-range redundancy, i.e., the presence of repeated blocks at large distances, is prevalent in large-scale data storage systems, where commonly, up to 85% of the data is redundant. Evolutionary sources, which produce data through consecutive edits, model the generation of genomic data. I will present our results on the compression of these sources, including information-theoretic lower bounds and algorithmic upper bounds. For evolutionary sources, I will also discuss parameter estimation and its applications to computational biology, including a novel approach for quantifying mutation activity based on a single sequence. 

Biography of professor Hassanzadeh

Professor Hassanzadeh is an assistant professor in the Department of Electrical and Computer Engineering and the Department of Computer Science at the University of Virginia. Previously, he was a postdoctoral scholar at the California Institute of Technology. He received his Ph.D. in Electrical and Computer Engineering in 2013 from the University of Illinois at Urbana-Champaign. His current research interests include data compression, coding for storage, and machine learning. He is the recipient of the 2013 Robert T. Chien Memorial Award from the University of Illinois for demonstrating excellence in research and the 2014 IEEE Data Storage Best Student Paper Award.

ECE Diversity and Inclusivity (D&I) committee is hosting a workshop on Adapting to Academic Life in the U.S. as an International Student. 

This is a virtual event to welcome and support our international graduate and undergraduate students as well as postdocs. Professors Jungwon Choi and Martina Cardone of ECE will share experiences on their career journey as international students in the United States. The event will also present university resources, and various housing and transportation facilities available for UMN students from the perspective of an international student.

If you have any questions, please contact manas018@umn.edu or kdukart@umn.edu.

Are you interested in graduate or professional school as your next step after your undergraduate degree? Join this session for undergraduate international students to learn more about the graduate school decision-making process, how to research programs and make a plan for applications, considerations for finding funding for graduate school, and about UMN resources to help you throughout the process. This session is presented by representatives from UMN Career Services and the UMN Graduate School. Email UMN International Career Consultant, Jane Sitter, with any questions about this session at sitt0036@umn.edu
All undergraduate international students are welcome.

Registration for International Graduate School Session

IEEE will be hosting Hewlett Packard Enterprise for a tech talk on Thursday, November 4 at 6 pm. Topics covered will be ASIC and VLSI design, high performance computing, and the Frontier system at Oak Ridge National Laboratory. If you are interested in any of these topics, please join the Zoom event: z.umn.edu/IEEE_HPE at that time.
Please register at tinyurl.com/yxle5xaw

Accelerator Architectures for Deep Neural Networks: Inference and Training

Machine learning and data analytics continue to expand the fourth industrial revolution and affect many aspects of our lives. The talk will explore hardware accelerator architectures for deep neural networks (DNNs). I will present a brief review of history of neural networks. I will talk about our recent work on Perm-DNN based on permuted-diagonal interconnections in deep convolutional neural networks and how structured sparsity can reduce energy consumption associated with memory access in these systems (MICRO-2018). I will then talk about reducing latency and memory access in accelerator architectures for training DNNs by gradient interleaving using systolic arrays (ISCAS-2020). Then I will present our recent work on LayerPipe, an approach for training deep neural networks that leads to simultaneous intra-layer and inter-layer pipelining  (ICCAD-2021). This approach can increase processor utilization efficiency and increase speed of training without increasing communication costs.

Biography of professor Keshab Parhi

Keshab K. Parhi received the B.Tech. degree from the Indian Institute of Technology (IIT), Kharagpur, in 1982, the M.S.E.E. degree from the University of Pennsylvania, Philadelphia, in 1984, and the Ph.D. degree from the University of California, Berkeley, in 1988. He has been with the University of Minnesota, Minneapolis, since 1988, where he is currently Distinguished McKnight University Professor and Edgar F. Johnson Professor of Electronic Communication in the Department of Electrical and Computer Engineering. He has published over 650 papers, is the inventor of 32 patents, and has authored the textbook VLSI Digital Signal Processing Systems (Wiley, 1999) and coedited the reference book Digital Signal Processing for Multimedia Systems (Marcel Dekker, 1999). His current research addresses VLSI architecture design of machine learning systems, hardware security, data-driven neuroscience and molecular/DNA computing. Dr. Parhi is the recipient of numerous awards including the 2017 Mac Van Valkenburg award and the 2012 Charles A. Desoer Technical Achievement award from the IEEE Circuits and Systems Society, the 2004 F. E. Terman award from the American Society of Engineering Education, the 2003 IEEE Kiyo Tomiyasu Technical Field Award, the 2001 IEEE W. R. G. Baker prize paper award, and a Golden Jubilee medal from the IEEE Circuits and Systems Society in 2000. He served as the Editor-in-Chief of the IEEE Trans. Circuits and Systems, Part-I during 2004 and 2005. He is a Fellow of IEEE, ACM, AAAS and the National Academy of Inventors.

CAUSE is offering a professional development event. Co-hosted with Sandia National Laboratories, professionals from Sandia will hold individual mock interviews for national labs. After the interview, they will review your interview performance as well as your CV. 

The event will be held virtually in the CAUSE Zoom Interview Room. Please fill out this RSVP, so we can determine the time of the mock interviews.

Also register with Sandia, so you can submit a copy of your CV or résumé to them prior to the interview.