Depend Group Alum Honored by IEEE

Karthik Pattabiraman HeadshotDepend Group Alum, Karthik Pattabiraman, received the inaugural Rising Star in Dependability award from the IEEE Computer Society. This award recognizes a junior researcher, from academia or industry, who demonstrates “outstanding potential for creative ideas and innovative research in the field of dependable and resilient computer systems and networks.”

Please join us in congratulating Karthik!


Full article here

Read more here and here

Karthik’s research page


DEPEND group at the forefront of enabling AI in Systems

Work performed in the DEPEND group is fundamentally reinventing the design of computer systems, from hardware to applications.  Systems are designed to use artificial intelligence and machine-learning to control and optimize large-scale heterogeneous computer systems to meet the performance and resiliency requirements of those emergent applications.

Two recent publications on scheduling application kernels to achieve high performance, and detecting failures and performance anomalies in heterogenous systems are accepted at ICML 2020 and Supercomputing 2020.

  1. Saurabh Jha , Shengkun Cui, Subho Banerjee , Tianyin Xu, Jeremy Enos, Mike Showerman, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer (2020). Understanding, Detecting, and Localizing Failures in High-Performance Storage Systems. Proceedings of the International Conference for High-Performance Computing, Networking, Storage and Analysis 2020 Nov 17 (SC 2020)
  2. Subho S Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar K. Iyer. Inductive Bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters. Thirty-seventh International Conference on Machine Learning (ICML 2020).



Top CSL Story of 2019

An article written about the work of Yogatheesan Varatharajah, Krishnakant Saboo, Chang Hu, and Professor Ravishankar Iyer, has been awarded the Top CSL Story of 2019. This was based on the number of clicks the article received on the CSL website. This is the second year in a row that members of the DEPEND group have been awarded top CSL story!

Read the original article here.

Read about the other Top CSL Stories of 2019 here.

CSL Researchers Develop Tools to Aid in Alzheimer’s Diagnosis and Prognosis

Yoga Varatharajah, Krishnakant Saboo, Chang Hu, and their peers at the DEPEND research group have been working on developing a set of tools that can predict the progression of Alzheimer. They recently had a paper published in Scientific Reports that discusses their work using machine learning methods to analyze and predict a patient’s progression. Read more about their work in this article published by the CSL.

Krishnakant Saboo
Yoga Varatharajah








Arjun P. Athreya, Ph.D., Develops Technology to Improve Depression Diagnoses

Photo from Mayo Clinic Magazine Website

DEPEND graduate Arjun P. Athreya has developed a system for the Mayo Clinic to use that combines artificial intelligence and machine learning to improve diagnoses for depression. Featured both on the ECE Illinois and Mayo Clinic Magazine website, Dr. Athreya’s work will help to increase treatment prognoses precision.

Read the Mayo Clinic Magazine article here.

Read the ECE Illinois article here.

STRN Publishes Article on DEPEND Group’s Platform for Testing of Autonomous Vehicle Safety

Ravi Iyer, Saurabh Jha, and Subho Banerjee were all quoted in a recent article by Science & Technology Research News – click here to read. The article covered the work that our researchers have done testing the safety of autonomous vehicles through AI and machine learning.

“Using AI to improve autonomous vehicles is extremely hard because of the complexity of the vehicle’s electrical and mechnical components, as well as variability in external conditions, such as weather, road conditions, topography, traffic patterns, and lighting” -Ravi Iyer from STRN article, CSL Researchers Develop Platform for Scalable Testing of Autonomous Vehicle Safety