Dr. JV Rajendran – Intel Security Academic Leadership Award

Dr. JV Rajendran has won the Intel Security Academic Leadership Award at the 2021 USENIX Security Conference in collaboration with Dr. Ahmad Reza Sadeghi’s research team and the Rajendran’s Secure and Trustworthy Hardware Lab members!

Their development of HACK@Event – the largest hardware security competition – helped participants work on real-life, security engineering skills of finding vulnerabilities in SoC designs (system-on-a-chip).

Dr. Rajendran demonstrated excellence, innovation and leadership in advancing the global security research community. He and Dr. Sadeghi showed their commitment to education of security researchers while creating a security-first mindset and work in promoting improvements in hardware design.

To learn more, please watch an interview with Dr. JV Rajendran and Dr. Sadeghi with Intel Business and visit the Texas A&M site here.

Dr. Gratz Promoted to Full Professor

As of September 1, 2021, Dr. Gratz is officially a Full Professor serving in the Department of Electrical and Computer Engineering at Texas A&M University.

Some of his accomplishments include his paper “Synchronized Progress in Interconnection Networks (SPIN): A New Theory for Deadlock Freedom” which was selected as a Top Pick from the architecture conferences in 2018 by IEEE Micro. His papers “Path Confidence based Lookahead Prefetching” and “B-Fetch: Branch Prediction Directed Prefetching for Chip-Multiprocessors” were nominated for best papers at MICRO ’16 and MICRO ’14 respectively.  At ASPLOS ’09, Dr. Gratz received a best paper award for “An Evaluation of the TRIPS Computer System.”  In 2016, he received the “Distinguished Achievement Award in Teaching – College Level” from the Texas A&M Association of Former Students and in 2017 he received the “Excellence Award in Teaching, 2017” from the Texas A&M College of Engineering.

Congratulations Dr. Gratz for your promotion! And, thank you for all of your hard work and dedication to the accreditation reporting, study abroad program, and our Computer Engineering Systems Group!

Congratulations Dr. Karan Watson!

Dr. Karan Watson, Regents Professor, was awarded the 2021 American Society for Engineering Education (ASEE) Lifetime Achievement Award in Engineering Education. Dr. Watson was recognized for her pioneering leadership and sustained contributions to education in the fields of engineering and engineering technology.

For the full article or a more in-depth look at her work, please visit: Texas A&M Engineering News and Dr. Watson’s Google Scholar Profile

Past Recipients
2012 Richard M. Felder
2014 James E. Stice
2015 Karl A. Smith
2016 Russ Pimmel
2018 James L. Melsa
2019 K.L. DeVries
2020 Don P. Giddens
2021  Karan L. Watson

Congratulations to our Summer 2021 Graduates!

 Doctor of Philosophy
Dr. Yixiao Feng (Advisor: Dr. Duffield)
Dr. Ki Yeob Lee (Advisor: Dr. Shakkottai)
Dr. Mian Qin (Advisor: Dr. Reddy)
Dr. Ping Wang (Advisor: Dr. Gratz)

 

Master of Engineering
Xu Luo

Master of Science
Anusha Bharat
Duong Bui
Hsing-Yu Chen
Halit Durukan
Vijay Muguntharaman
Noor-A Nazia
Anushka Waingankar
Ziqian Wang
Ruiwan Xu

 

Congratulations to our Summer 2021 Graduates!

 Doctor of Philosophy
Dr. Yixiao Feng (Advisor: Dr. Duffield)
Dr. Ki Yeob Lee (Advisor: Dr. Srinivas Shakkottai)
Dr. Mian Qin (Advisor: Dr. Reddy)
Dr. Ping Wang (Advisor: Dr. Gratz)

 

 

Master of Engineering
Xu Luo

Master of Science
Anusha Bharat
Duong Bui
Hsing-Yu Chen
Halit Durukan
Vijay Muguntharaman
Noor-A Nazia
Anushka Waingankar
Ziqian Wang
Ruiwan Xu

 

Fall Graduates 2020:

“CONGRATULATIONS!” 
from all the faculty and staff at Computer Engineering Systems Group!

List of Fall 2020’s CEEN Graduates!
Doctorate Degree – Fall 2020 
MS Degree – Fall 2020
ME Degree – Fall 2020

If you do not have guest tickets but want to watch, you can view on the Live Stream at https://ttvn.tamus.edu/live/schedule/today/

Doctoral Commencement Ceremony
(TH) December 10, 2020 @ 9 a.m.
Reed Arena w/ Guest Tickets

Masters in Engineering Commencement Ceremony
(F) December 11, 2020 @ 2 p.m.
Reed Arena w/ Guest Tickets

 

IEEE Micro Top Picks in Architecture for 2018

Congratulations to CESG’s Dr. Paul Gratz!

Dr. Gratz’s paper titled “Synchronized Progress in Interconnection Networks (SPIN) : A New Theory for Deadlock Freedom” was selected for The IEEE Micro Top Picks in Architecture for 2018.

This paper proposes a new theoretical approach to deadlock freedom in interconnection networks, based upon reframing the problem as one of coordination among independent actors as opposed to a problem of resource acquisition ordering.

To read more about Dr. Gratz’s research, see Rachel Rose’s ECE article on the department news page in February 2019.

IEEE Micro publishes its yearly “Micro’s Top Picks from the Computer Architecture Conferences” as its May / June 2019 issue. This issue collects the year’s most significant research papers in computer architecture based on novelty and potential for long-term impact.

Get an early look at Dr. Gratz’s paper here:

“IEEE Micro Top Paper Pick 2018 – Gratz Synchronized Progress in Interconnection Networks (SPIN) A New Theory for Deadlock Freedom”.

 

Duffield Named Director Of Texas A&M Institute Of Data Science

Nick Duffield, professor in the Department of Electrical and Computer Engineering, College of Engineering at Texas A&M University, is the new director of the Texas A&M Institute of Data Science (TAMIDS), the Division of Research announced (in October 2018).

“Texas A&M’s choice to prioritize data science by creating TAMIDS presents a tremendous opportunity to build a groundbreaking and innovative environment,” Vice President for Research Mark A. Barteau said. “Texas A&M is preeminent in fields where data science is poised to have an enormous impact. As director of TAMIDS, Dr. Duffield brings outstanding credentials from a career spanning academia and industry, with a skill set combining technological leadership, scientific achievement, interdisciplinary collaboration, commercial impact, community building, and education. Texas A&M is committed to supporting the development of TAMIDS, under Dr. Duffield’s vision and leadership, to catalyze our growth in data science, and establish a distinctive position in the data science ecosystem that builds on Texas A&M’s unique strengths.”

Before joining Texas A&M in 2014, Duffield was a Distinguished Member of Technical Staff and AT&T Fellow at AT&T Labs Research in Florham Park, N.J. He received his doctorate in physics from the University of London. He held academic positions in Europe before joining AT&T in 1995.

Duffield is an author or co-author on more than 160 publications in the areas of data science and computer networking. He holds 54 U.S. patents and his work has been implemented in Internet systems, services and standards. His current research involves algorithms for data streaming and machine learning, computer-network measurement and resilience, and applications of data science to transportation, agriculture and hydrology. Duffield’s work at Texas A&M has received support from the National Science Foundation, DARPA, Google and Intel. He is a fellow of IEEE as well as the Institution of Engineering and Technology, and has twice received the Association for Computing Machinery (ACM) SIGMETRICS Test-of-Time award. He is an elected member of the governing board of ACM SIGMETRICS.

The Texas A&M Institute of Data Science pursues and supports new approaches of multi-disciplinary data science research, education and external partnerships. These approaches cross departmental and college boundaries to address all facets of the data-science landscape that naturally connect engineering, technology, science and the humanities and inform wider policy and social challenges.

For more information on TAMIDStamids.tamu.edu

About Research at Texas A&M University: As one of the world’s leading research institutions, Texas A&M is at the forefront in making significant contributions to scholarship and discovery. Research conducted at Texas A&M represented annual expenditures of more than $905.4 million in fiscal year 2017. Texas A&M ranked in the top 20 of the National Science Foundation’s Higher Education Research and Development survey (2016), based on expenditures of more than $892.7 million in fiscal year 2016. Texas A&M’s research creates new knowledge that provides basic, fundamental and applied contributions resulting, in economic benefits and improved quality of life for the peoples of the state, nation and world. To learn more, visit http://research.tamu.edu.


Media Contact: Susan Wolff, (979) 847-9365, s-wolff@tamu.edu

Source: Texas A&M Today

Gratz receives Association of Former Students Distinguished Achievement Award in Teaching

Dr. Paul V. Gratz, associate professor in the Department of Electrical and Computer Engineering at Texas A&M University, was awarded the 2016 Association of Former Students (AFS) Distinguished Achievement Award in Teaching — College Level. He is one of four faculty members in the college of engineering selected to receive the award.

Since 1982, the AFS teaching award has been presented to faculty members who are renowned for their expertise and exemplary dedication to the education of their students.

Dr. Miroslav Begovic, electrical and computer engineering department head, said Gratz deserves the award because he has been an early adopter of blended learning within the department and college, having restructured ECEN 350 as a blended learning class.

The restructured class features live, recorded lectures published online and online quizzes replacing traditional homework, among other enhancements. Those efforts have yielded two benefits — a two to three week increase in material covered during a semester as well as improvements in student retention from a traditionally high drop-rate class.

Gratz has also been a leader in the department’s efforts to develop a distance learning masters program. His ECEN 676 class during spring 2016 served as the pilot class for the distance learning masters program. Based on his experiences he is developing a set of distance learning training sessions for faculty.

Gratz is a member of the computer engineering and systems group. He received his Ph.D. in electrical and computer engineering from the University of Texas at Austin in 2008. His research interests include energy-efficiency, reliability and performance in processor microarchitectures, memory systems and on-chip interconnection networks.

He has received a Teaching Excellence Award from The Texas A&M University System and a Best Paper Award from the ASPLOS’09 conference.

The AFS teaching award will be formally presented to all recipients in spring 2017 at the annual college awards banquet.

Researchers in electrical and computer engineering receive award for brain-inspired computing

Two graduate students and their adviser in the Department of Electrical and Computer Engineering at Texas A&M University received the Honorary Mention Best Paper Award from the 2016 IEEE International Symposium on Circuits and Systems (ISCAS).

Qian Wang, Youjie Li and their thesis adviser, Dr. Peng Li, received the award for their paper titled, “Liquid state machine based pattern recognition on FPGA with firing-activity dependent power gating and approximate computing,” at ISCAS, which was held in Montreal, Canada. This award was conferred by the Neural Systems and Applications Technical Committee of IEEE Circuits and Systems (CAS) Society.

For a very long time, the human brain has been a great inspiration for building efficient intelligent systems. Nevertheless, mimicking the information processing capabilities of the brain in VLSI-based computing systems is a completely nontrivial task and entails the development of efficient processor architectures and hardware-friendly learning mechanisms. The researchers’ paper demonstrates how the liquid state machine (LSM), a biologically plausible recurrent spiking neural network model, can be used to enable brain-inspired neural processors. An LSM processor architecture with integrated on-chip learning capability has been demonstrated on the reconfigurable FPGA platform for pattern and speech recognition applications. This work also investigates novel firing activity-based low power and approximate computing techniques to boost system energy efficiency.

Wang and Li are part of Dr. Li’s research group, and have recently passed their Ph.D. and M.S. thesis defenses, respectively. Dr. Li is a professor in the department, a faculty member of the Texas A&M Institute for Neuroscience and Texas A&M Health Science Center, and an IEEE Fellow. In addition to this award, Dr. Li has received five other best paper awards from premier IEEE/ACM conferences.

ISCAS is the world’s premier networking forum of leading researchers in the highly active fields of theory, design and implementation of circuits and systems.