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EECS Faculty Begin Fall Semester with Promotions and Tenure

Congratulations to our EECS faculty members who received well-earned promotions and tenure this month!

Promoted to Full Professor

Picture of Dr. Jayne WuJayne Wu

Research: Micro-electronics, microfluidics, MEMS

 

 

 

Tenured and Promoted to Associate Professor

Picture of Dr. Nicole McFarlaneNicole McFarlane

Research: Mixed signal circuit design, biotechnology and bio-sensor design particularly for lab-on-chip applications, noise theory for electronic systems, energy and power trade-offs in mixed signal circuit design in particular studying the channel capacity of analog circuits, microfabrication and development of devices.

Promoted to Research Associate Professor

Chien-fei Chen, EECS

Chen serves as the director of education and diversity programs and research assistant professor for CURENT. She is also an adjunct faculty member in the Department of Sociology.

Dr. Greg Peterson Starts Term of Service as EECS Interim Department Head

Picture of Dr. Gregory Peterson

Dr. Greg Peterson, Interim EECS Department Head

Congratulations to Dr. Greg Peterson, who has begun serving as the new Interim Department Head for the Min H. Kao Department of Electrical Engineering & Computer Science.

Previous Department Head and Min H. Kao Professor Leon Tolbert is returning to the department’s faculty at that time, having served as head since January 2013.

Dr. Peterson has been a key member of the department for almost 20 years and will be a familiar face to our faculty during this time of transition. I would like to thank Dr. Tolbert for his years of leadership and for all the growth and success he has overseen during his time as head of the department.

Peterson has served in a number of leadership roles, including as a US Air Force captain at the Wright-Patterson Air Force Research Laboratory, as deputy director of the UT-ORNL Joint Institute for Computational Sciences, and as director of UT’s National Institute for Computational Sciences. He earned his bachelors, masters, and doctoral degrees at Washington University in St. Louis, Missouri.

He is a senior member of the Institute for Electrical and Electronics Engineers, and a member of the Association for Computing Machinery, the American Society for Engineering Education, the Accellera/VHDL International Users’ Forum, and the Society for Computer Simulation.

Once again, please join us in congratulating Dr. Peterson on his new role.

UT EECS alumna giving neuromorphic computers brains and brawn

by Simon Simoneau, Communications, Oak Ridge National Laboratory
Picture of Dr. Katie Schuman- photo credit ORNL

Dr. Katie Schuman, Liane B. Russell Early Career Fellow at the Department of Energy’s Oak Ridge National Laboratory.

If you try to visually represent a spiking neural network, a type of machine learning model, what you often get is an inextricable three-dimensional spiderweb of flashing dots and lines. This visual complexity masks a deeper dynamism, though, as the tangled mass is actually an ever-changing network of neurons and synapses inspired by the architecture of the human brain.

These networks, known as neuromorphic systems when implemented in hardware, are optimized over hundreds, thousands, or even millions of iterations on powerful computers by researchers like Katie Schuman, a Liane B. Russell Early Career Fellow at the Department of Energy’s Oak Ridge National Laboratory.

Schuman is a neuromorphic computing researcher on ORNL’s Nature Inspired Machine Learning Team, where she works to figure out what makes the human brain so powerful and how to leverage the theory of biologically inspired computing into practice.

“There’s a lot to learn about what is possible with computing and with these systems,” she said. “It’s a paradigm shift in how we think about what computers can do.”

Read more

Recent Supercomputing Opinion Piece by Dr. Jack Dongarra in the Washington Post

Photo of Dr. Jack DongarraUniversity Distinguished Professor Dr. Jack Dongarra has penned an opinion piece about supercomputing for the Washington Post.  The United States has once again claimed the top spot in the race for the world’s most powerful and fastest scientific supercomputer.  Oak Ridge National Laboratory is home to this computer, called Summit.

Read Dr. Dongarra’s article here.

Interim EECS Dept. Head Announced

Picture of Dr. Gregory Peterson

Dr. Greg Peterson, Interim EECS Department Head

Dr. Lynne Parker, interim Dean of the Tickle College of Engineering, has announced that Professor Greg Peterson has agreed to serve as the interim head of the Min H. Kao Department of Electrical Engineering and Computer Science, effective August 1, 2018. Current Department Head and Min H. Kao Professor Leon Tolbert is returning to the department’s faculty at that time, having served as head since January 2013.

Dr. Peterson has been a key member of the department for almost 20 years and will be a familiar face to our faculty during this time of transition. I would like to thank Dr. Tolbert for his years of leadership and for all the growth and success he has overseen during his time as head of the department.

Peterson has served in a number of leadership roles, including as a US Air Force captain at the Wright-Patterson Air Force Research Laboratory, as deputy director of the UT-ORNL Joint Institute for Computational Sciences, and as director of UT’s National Institute for Computational Sciences. He earned his bachelors, masters, and doctoral degrees at Washington University in St. Louis, Missouri.

He is a senior member of the Institute for Electrical and Electronics Engineers, and a member of the Association for Computing Machinery, the American Society for Engineering Education, the Accellera/VHDL International Users’ Forum, and the Society for Computer Simulation.

Please join us in congratulating Dr. Peterson on his new role.

New EECS Professor Dr. Michela Taufer Quoted in Supercomputing Story on PBS’ NovaNext

The Human Connectome (from PBS NovaNext website)

The Human Connectome (Courtesy of PBS NovaNext website)

 

 

From the PBS NovaNext website:

Bobby Kasthuri has a problem.

In an effort to understand, on the finest level, what makes us human, he’s set out to create a complete map of the human brain: to chart where every neuron connects to every other neuron. The problem is, the brain has more connections than the Milky Way has stars. Just one millionth of the organ contains more information than all the written works in the Library of Congress. A map of the brain would represent the single largest dataset ever collected about anything in the history of the world.

Making that map seems like a task that could consume not just one lifetime, but dozens. Yet in just three years, it might just be possible.

Read more

EECS Professor and Grad Students win Best Paper Award

Photo of Dr. Qing "Charles" CaoDr. Qing Cao recently co-authored a paper with two of his graduate students, Yunhe Feng and Zheng Lu, entitled “Secure Sharing of Private Locations through Homomorphic Bloom Filters.” This paper has now won the Best Paper Award at IEEE BigDataSecurity 2018, the 4th IEEE International Conference on Big Data Security on Cloud. About 150 papers were submitted to this conference this year.

Current continuously increasing demands of cloud computing and relevant network-based techniques have driven a dramatic growth of the implementations of data mining, smart data, artificial intelligence, and data analysis in multiple domains. Security and privacy issues in big data have become a great concern due to the interconnecting environment. IEEE BigDataSecurity 2018 addresses this domain and aims to gather recent academic achievements in this field.

Moreover, cloud computing is the second concentration of IEEE BigDataSecurity 2018. The emerging mechanism of cloud computing has provided a variety of novel approaches addressing the solutions of big data. The new methods deriving from cloud computing have covered distinct dimensions, such as edge/fog computing, energy consumptions, high performance, and heterogeneous resources, cloud models, heterogeneous architecture, tele-health, resource allocation, load balance, multimedia, and QoS, etc.

Congratulations, Dr. Cao, Yunhe Feng and Zheng Lu!

EECS Professor and Ph.D. Student Present Paper at IEEE Symposium in San Francisco

 

 

Jared Smith, a Ph.D. student in the UT Computer Security Lab (volsec.eecs.utk.edu) advised by Dr. Max Schuchard, presented a full paper at the 39th annual IEEE Symposium for Security and Privacy in San Francisco, CA. The paper, entitled “Routing around Congestion: Defeating DDoS Attacks and Adverse Networking Conditions with Reactive BGP Routing,” was one of 63 papers accepted out of 564 submitted (11% acceptance rate) at S&P, one of the top 4 academic security conferences.

At the conference, Jared and Dr. Schuchard presented the first deployable solution to a previously unmitigated form of Distributed Denial of Service (DDoS). This particular form of DDoS has been used in recent years to take entire countries offline, take down large parts of the Internet’s infrastructure, and prohibit millions of Internet users from communicating online. While most solutions to DDoS require cooperating with other networks or paying for expensive commercial solutions, their solution allows an online entity to defend against DDoS without these requirements, and in many cases make modern botnet-based attacks a problem of the past.

For more information on the paper and the UT Computer Security Lab in general, please visit volsec.eecs.utk.edu.

TENNLab- Neuromorphic Architectures, Learning, Applications Group Featured in New Video

Dr. Garrett Rose, Dr. James Plank, Dr. Mark Dean and Graduate Researcher Parker Mitchell, of the TENNLab– Neuromorphic Architectures, Learning, Applications group, are featured in a new video, speaking about neural networks and neuromorphic computing.  HDIAC, the Homeland Defense & Security Information Analysis Center, has released this video, entitled “Neural Networks for the Homeland Defense & Security R&D Community of Interest.”

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