Once every week while school is in session, EECS invites a distinguished researcher or practitioner in a computer science or electrical and computer engineering-related field to present their ideas and/or work. Talks are generally targeted to electrical engineering and computer science graduate students. This colloquium series is free and open to everyone.

Upcoming Colloquia

The computational biology of aging and circadian rhythms, and implications for human health

Monday, October 21, 2019 - 4:00pm to 4:50pm
Gilfillan Auditorium

Speaker Information

David Hendrix
Associate Professor
Department of Biochemistry and Biophysics, and
School of Electrical Engineering and Computer Science


The circadian system is a regulatory network hub that temporally coordinates molecular, cellular and physiological processes. Circadian coordination of neural functions contributes to healthy aging, and the expression of hundreds of genes change in a daily pattern due to circadian regulation. To understand age-related changes in rhythmically expressed genes, we performed around-the-clock RNA-seq and small RNA-seq in the heads of 5-day-old (young) and 55-day-old (old) flies. In this study, we present an analysis of obtained data. Our methods build upon Fourier-based detection of changes in rhythmic expression, and can also detect rhythmic bursts of expression that are not detected with other Fourier-based approaches. Although the net level of rhythmicity remains constant after aging, we observe a "rewiring" of the circadian system. First, we observe changes in the core clock genes, such as the expression of period, which exhibits an increase in the amplitude of mRNA expression and a reduction in protein expression. We observe several stress-response genes, late life cyclers (LLCs), that gain rhythmicity during aging. We also present some preliminary data on oscillatory expression of genes in humans. The computational analysis and data we present will shed new light on the widespread shifts in gene regulation and metabolic pathways to cope with the changing cellular environment during aging. This talk will also provide the much of the biological background needed to understand the analysis.

Speaker Bio

David Hendrix got his Bachelor's degrees in Applied Mathematics and Physics at Georgia Tech. He went on to get his PhD in physics at UC Berkeley, while focusing research on computational and statistical genomics. He went on to do postdocs at Berkeley and MIT in computational biology. 

The Hendrix Lab at Oregon State University employs a broad range of computational approaches, from machine learning to data mining, to investigate questions concerning RNA and DNA. We seek to use computational biology and bioinformatics to analyze RNA sequence and structure, and to uncover new mechanisms of gene regulation, as well as validate known biology.

Blending engineering and medicine: novel analyses of electrocardiogram for prediction and prevention of sudden cardiac death

Monday, October 28, 2019 - 4:00pm to 4:50pm
Gilfillan Auditorium

Speaker Information

Larisa Tereshchenko
Associate professor of medicine
Knight Cardiovascular Institute


Heart disease is the #1 killer in the United States. Sudden cardiac death is a major contributor to cardiovascular mortality and a tragic event for a community and family members. Understanding mechanisms of cardiac arrhythmias is a key factor for further reduction of cardiovascular disease burden and mortality. For initiation of arrhythmia, two components are necessary: trigger and the susceptible electrophysiological substrate. Advances in computer science, digital signal processing, and understanding of cardiac arrhythmia mechanisms led to the development of novel mechanistic electrocardiographic and vectorcardiographic measures. We use a widely available, inexpensive, and non-invasive tool (resting 12-lead ECG) to characterize the electrophysiological substrate of cardiac arrhythmias and sudden cardiac death. Then, we study associations of electrocardiographic phenotype with genomics to understand underlying biology of the electrophysiological substrate. In my talk I will present my translational program, my effort of building Big Data resource (ECGome consortium) and outline opportunities for our collaboration/opportunities for students.

Speaker Bio

Dr. Tereshchenko is an associate professor of medicine in the Knight Cardiovascular Institute. She received MD degree with Honors from the Tyumen Medical School (USSR) in 1986. She was the first-prize winner of the Internal Medicine Competition of the Russian Federation in 1985-86. Dr. Tereshchenko completed Cardiology & Cardiac Electrophysiology Fellowship and received a Ph.D. degree from Novosibirsk Medical School in 1994. Dr. Tereshchenko was an Assistant Professor of Medicine in the Tyumen Medical School in 1994-2004.

In 2004, Dr. Tereshchenko joined the faculty of the Washington University School of Medicine, where she initiated and conducted a prospective cohort study of ICD patients (ICD-EGMs study). After completion of cardiac electrophysiology fellowship at the Johns Hopkins Hospital, she joined the faculty of the Johns Hopkins School of Medicine, Cardiovascular Division. She established translational electrophysiology laboratory and developed several novel methods of electrocardiogram analyses, such as dynamic vectorcardiography, global electrical heterogeneity, and measurement of inapparent ventricular conduction. In 2013 Dr. Tereshchenko was awarded NIH R01 award “Novel ECG measures and risk of sudden cardiac death” and moved to the Oregon Health & Science University in Portland, Oregon. She maintains NIH funding of her laboratory.

Dr. Tereshchenko is a Fellow of Heart Rhythm Society, American Heart Association, and American College of Cardiology. She was the President of the International Congress of Electrocardiology hosted in Portland in 2017, and a member of a Board of Directors (Treasurer) of the International Society for Computerized Electrocardiology in 2014-2017. She was awarded the DelMar Junior Investigator Award, awarded by the International Society for Holter and Noninvasive Electrocardiology. Dr. Tereshchenko is an inventor on two patents, an author of more than 100 manuscripts, 3 book chapters, and a member of an Editorial Board of the leading electrophysiology journals (Circulation: Arrhythmia and Electrophysiology, Heart Rhythm, among others).

Resilient and Reconfigurable Distribution Systems Using Dynamic Microgrids with Cross-Layer Interdependencies in Cyber and Physical Networks

Monday, November 4, 2019 - 4:00pm to 4:50pm
Gilfillan Auditorium

Speaker Information

Xiaonan Lu
Assistant Professor
College of Engineering
Temple University


Grid modernization has raised the increasing interests in power system resiliency enhancement. As the penetration level of distributed energy resources (DERs) increases rapidly, a distribution grid, as the active and most significant ‘grid-edge’ for DER integration, plays a crucial role to bridge the grid backbone (i.e., transmission system) to the end-users. A resilient, stable and secure distribution system is urgently needed to modernize electric grids and ensure operation continuity. As an effective entity of integrating DERs and local loads, microgrids have been widely deployed in modern distribution grids. In addition to single and individual microgrids, networked and dynamic microgrids with controllable and effective interconnections have been deployed and studied to advance resiliency enhancement, especially for critical infrastructures. Given the information exchange to ensure stable control and physical interactions between neighboring microgrids, networked and dynamic microgrids can be regarded as coupled cyber and physical systems with interdependencies across layers. In this presentation, a cross-layer and resilient control framework of networked and dynamic microgrids with stability guarantees will be discussed. Particular examples and use cases will also be introduced to verify the proposed control framework.

Speaker Bio

Xiaonan Lu (S’12-M’13) received his B.E. and Ph.D. degrees in electrical engineering from Tsinghua University, Beijing, China, in 2008 and 2013, respectively. From September 2010 to August 2011, he was a guest Ph.D. student at the Department of Energy Technology, Aalborg University, Denmark. From October 2013 to December 2014, he was a Postdoc Research Associate at the Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville. From January 2015 to July 2018, he was with Argonne National Laboratory, first as a Postdoc Appointee and then as an Energy Systems Scientist. In July 2018, he joined the College of Engineering in Temple University as an Assistant Professor. His research interests include modeling and control of power electronic inverters, hybrid AC and DC microgrids, real-time hardware-in-the-loop simulation, etc. Dr. Lu is the Associate Editor of IEEE Transactions on Industrial Electronics, the Associate Editor of IEEE Transactions on Industry Applications and the Editor of IEEE Transactions on Smart Grid. He serves as the Secretary of the Industrial Power Converters Committee (IPCC) in IEEE Industry Applications Society (IAS) and the Secretary of the Joint Power Electronics (PELS) and IAS Chapter in Princeton/Central Jersey/Philadelphia.

Past Colloquia

Umut A. Acar
Monday, February 13, 2012 - 9:40am to 11:00am
Ross Tate
Wednesday, February 8, 2012 - 9:40am to 11:00am
Barry Jay
Monday, February 6, 2012 - 4:00pm to 4:50pm
Dr. Jeffrey Kaye
Monday, January 30, 2012 - 4:00pm to 4:50pm
Monday, January 23, 2012 - 4:00pm to 4:50pm
Dmitri Nikonov
Monday, November 21, 2011 - 4:00pm to 4:50pm
Alan X. Wang
Monday, November 14, 2011 - 4:00pm to 4:50pm
James Fogarty
Monday, November 7, 2011 - 4:00pm to 4:50pm
David J. Allstot
Monday, October 31, 2011 - 4:00pm to 4:50pm
Dr. Tawfik Arabi
Thursday, October 27, 2011 - 10:00am to 10:50am