Patke chosen for Best Presentation Award at IPDPS Workshop

Archit Patke, senior DEPEND student, has received the Best Presentation Award for his presentation on Evaluating hardware memory disaggregation under delay and contention at the First Workshop on Composable Systems (COMPSYS ‘22) held in tandem with the 36th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2022).  His co-researchers are Haoran Qiu (DEPEND student), Saurabh Jha (IBM Research and former DEPEND student), Srikumar Venugopal (IBM Research), Michele Gazzetti (IBM Research), Christian Pinto (IBM Research), Zbigniew Kalbarczyk (DEPEND group professor), and Ravishankar Iyer (DEPEND group professor).  To view Archit’s presentation please click here.

Congrats to Archit and team!

Four DEPEND students chosen for fellowships

We are proud to announce that four of our students have earned fellowships for the 2022-2023 school year.

Krishnakant Saboo

Krishnakant Saboo has received the Graduate College Dissertation Completion Fellowship. This fellowship selection is based on the significance of the research, the student’s productivity and efficient progress toward the degree, and the likelihood that the student will defend and deposit the dissertation by August 2023. In addition to his obvious academic strengths, his advisor, Prof. Ravi Iyer, says, “he has demonstrated initiative, strong motivation, leadership strengths, and first-rate teamwork skills – all critical for an influential researcher. Indeed, the University has recognized his outstanding merit with several awards on campus, including the Elsa and Floyd Dunn Award, the Paul D. Doolen Graduate Scholarship for the Study of Aging, and the outstanding teaching assistant award, as well as the Mavis Future Faculty Fellowship that recognizes the next generation of great engineering faculty.” Please visit for more information regarding the Graduate College Dissertation Completion Fellowship.

Archit Patke

Archit Patke, fourth year Ph.D. student, has been selected as a Rambus Computer Engineering Fellowship recipient. The Rambus Computer Engineering Fellowship was established in 1999 to recognize a graduate student in the Computer Engineering Area for outstanding research. “Archit’s expertise is in computing systems and networks, but his strong theoretical background and an unusual flair for real implementations, measurements, and modeling set him apart,” says his advisor, Prof. Ravi Iyer. To learn more about the Rambus Computer Engineering Fellowship, please visit

Yurui Cao

The ECE department has picked Yurui Cao (third year Ph.D. student) for the Yunni & Maxine Pao Memorial Fellowship this year. This fellowship is awarded to high-achieving students from the United States or Hong Kong who have at least one parent from China. Prof. Ravi Iyer says this about Yurui “she has a demonstrated the ability to examine and study problems from different perspectives and identify new challenges in unique areas. Moreover, she combines a keen intellect with persistence in problem-solving – a rare talent.” For more information, visit

Harshitha Sreejith

The ECE department has chosen Harshitha Sreejith (second year Ph.D. student) for the James M. Henderson Fellowship. Established in 1999, the fellowship recognizes an outstanding first-year graduate student in the Department of Electrical and Computer Engineering based upon the nominee’s undergraduate academic achievement and leadership in activities or research as an undergraduate. Her advisor Prof. Ravi Iyer has this to say “while Harshitha is new to our team, I already see her capabilities in addressing complex problems, and I have very high expectations for her future work. She is a quick learner who has shown significant promise.” To learn more about the James M. Henderson Fellowship, please visit

Prof. Iyer and DEPEND student, Yan Miao: Teachers Ranked as Excellent for Fall 2021

Yan Miao, Master’s Student in the DEPEND Group

Prof. Ravi Iyer (ECE 598) and Yan Miao (ECE 391) have made the lists of teachers ranked as excellent by their students for the Fall 2021 semester.

Results are based on the ratings from the Instructor and Course Evaluation System (ICES) maintained by Measurement and Evaluation in the Center for Innovation in Teaching and Learning.  For a complete list:


Yoga Varatharajah chosen for the 2021 CSL PhD Thesis Award

Former group member, Yoga Varatharajah, has been announced as the 2021 CSL Ph.D. Thesis Award winner for his thesis titled Domain-guided Machine Learning for Health Analytics: The Case for Neurological Diseases.  The CSL Ph.D. Thesis Award is given to a researcher whose Ph.D. thesis makes advances in a disciplinary area that has an interdisciplinary angle.  The selection committee focuses on candidates’ contributions, innovative ideas, and potential impact resulting from their Ph.D. work.

Please click here for the award presentation.

Prof. Iyer wins Jean-Claude Laprie award from DSN21

Professor Iyer and his co-authors; David Rossetti and Mei-Chen Hsueh; were recently awarded the Jean-Claude Laprie Award at DSN21 for the paper entitled “Measurement and Modeling of Computer Reliability as Affected by System Activity, ACM TOCS 1986″.

The award committee states “Measurement and modeling of computer reliability as affected by system activity” authored by R. K. Iyer, D. J. Rossetti, and M. C. Hsueh and published in ACM Transactions on Computer Systems in 1986 was one of the first papers to perform empirical studies of failures in real systems (IBM Mainframe and the Stanford Linear Accelerator Computing System). The paper showed that there exists a strong correlation between the nature of the workload and its intensity and the failure rate of the system. This was a seminal result in that it showed that one needs to understand the overall system’s composition and behavior, in order to make predictions of its overall reliability. It also established the primary role of empirical measurements of failures of real systems, rather than rely upon (simple) analytical or simulation models of failures, and hence established the scientific foundations of the field of empirical reliability measurement.

The paper has had a tremendous impact in shaping subsequent empirical studies, as well as those in analytical modelling of computer systems. The idea has been incorporated in classical dependability textbooks (e.g., Reliable Computer Systems: Design and Evaluation, Third Edition, By Daniel P. Siewiorek, Robert S. Swarz), dependability tools (e.g., SHARPE) and into many commercial systems for dependability measurement (e.g., by IBM). This paper has been considered as a landmark paper in the field of computer system reliability by the evaluation committee, which resulted in its unanimous selection for the award.”

For more about The Jean-Claude Laprie Award, please visit

You can view his acceptance video here:

“Measurement and modeling of computer reliability as affected by system activity”:

Congratulations to Professor Iyer and his co-authors!

Saboo chosen for Elsa and Floyd Dunn Award

Krishnakant Saboo

Krishnant Saboo has been chosen as the recipient of the 2020-2021 Elsa and Floyd Dunn Award.  Established in 2015, this award was set up in honor of Elsa and Floyd Dunn and is presented to a graduate student in the Department of Electrical and Computer Engineering who has demonstrated research interest in topics such as biomedical ultrasound, bioengineering, or related fields.  This is a great honor, which recognizes the quality of his graduate research.

According to his Advisor, Professor Ravi Iyer “Krishnakant has used his intuitive understanding of brain health together with his deep mathematical skills in machine learning and statistics to tackle complex problems related to diagnosis and treatment of brain disorders.  He has worked in successful collaboration with several clinicians and scientists at Mayo Clinic and the Virginia Commonwealth University Medical Center in modeling diseases including epilepsy, Alzheimer’s disease, and hepatic encephalopathy (brain dysfunction due to liver cirrhosis).  In creating these models, he has combined domain knowledge with statistical techniques, and data – a prominently useful skill in the face of the growing challenge of learning from limited data.”

To learn more about this award, please visit: