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D-Index & Metrics

Computer Science

D-Index
71
Citations
19407
World Ranking
1781
National Ranking
901

Research.com Recognitions

  • 1991 - IEEE Fellow For contributions to reliable computing.

Overview

Ravishankar K. Iyer is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans across multiple disciplines, with a focus on medicine and computer science. The scientist has contributed extensively to fields such as artificial intelligence, cognitive neuroscience, computer networks and communications, epidemiology, and hepatology.

The main topics of Ravishankar K. Iyer's work include:

  • Liver Disease Diagnosis and Treatment
  • Liver Disease and Transplantation
  • EEG and Brain-Computer Interfaces
  • Functional Brain Connectivity Studies
  • Cloud Computing and Resource Management
  • AI in cancer detection
  • Liver Diseases and Immunity

Frequent publication venues where this researcher's work appears include:

  • arXiv (Cornell University)
  • Journal of Hepatology
  • Surgical Neurology International
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Gastroenterology

Some recent papers authored or co-authored by Ravishankar K. Iyer are:

  • "FIRM: An Intelligent Fine-Grained Resource Management Framework for SLO-Oriented Microservices," 2020, arXiv (Cornell University)
  • "Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis," 2020, The American Journal of Gastroenterology
  • "Stool microbiota are superior to saliva in distinguishing cirrhosis and hepatic encephalopathy using machine learning," 2021, Journal of Hepatology
  • "Sex is associated with differences in gut microbial composition and function in hepatic encephalopathy," 2020, Journal of Hepatology
  • "Prediction of short-term antidepressant response using probabilistic graphical models with replication across multiple drugs and treatment settings," 2021, Neuropsychopharmacology

Frequent collaborators in their work are:

  • Krishnakant Saboo
  • Zbigniew Kalbarczyk
  • Paul M. Arnold
  • Chang Hu
  • Gregory A. Worrell

Ravishankar K. Iyer was recognized as an IEEE Fellow in 1991 for contributions to reliable computing.

Best Publications

  • Big data: Astronomical or genomical?

    Zachary D. Stephens;Skylar Y. Lee;Faraz Faghri;Roy H. Campbell

  • Fault injection techniques and tools

    Mei-Chen Hsueh;T.K. Tsai;R.K. Iyer

  • Non-control-data attacks are realistic threats

    Shuo Chen;Jun Xu;Emre C. Sezer;Prachi Gauriar

  • Adverse Events in Robotic Surgery: A Retrospective Study of 14 Years of FDA Data.

    Homa Alemzadeh;Jaishankar Raman;Nancy Leveson;Zbigniew Kalbarczyk

  • Transparent runtime randomization for security

    Jun Xu;Z. Kalbarczyk;R.K. Iyer

  • NFTAPE: a framework for assessing dependability in distributed systems with lightweight fault injectors

    D.T. Stott;B. Floering;D. Burke;Z. Kalbarczpk

  • Characterization of linux kernel behavior under errors

    Weining Gu;Z. Kalbarczyk;Ravishankar;K. Iyer

  • FINE: A fault injection and monitoring environment for tracing the UNIX system behavior under faults

    W.-I. Kao;R.K. Iyer;D. Tang

  • Measurement and modeling of computer reliability as affected by system activity

    R. K. Iyer;D. J. Rossetti;M. C. Hsueh

  • Lessons Learned from the Analysis of System Failures at Petascale: The Case of Blue Waters

    Catello Di Martino;Zbigniew Kalbarczyk;Ravishankar K. Iyer;Fabio Baccanico

  • Chameleon: a software infrastructure for adaptive fault tolerance

    Z.T. Kalbarczyk;R.K. Iyer;S. Bagchi;K. Whisnant

  • Defeating memory corruption attacks via pointer taintedness detection

    S. Chen;J. Xu;N. Nakka;Z. Kalbarczyk

  • Accurate low-cost methods for performance evaluation of cache memory systems

    S. Laha;J.H. Patel;R.K. Iyer

  • Modeling and Mitigating Impact of False Data Injection Attacks on Automatic Generation Control

    Rui Tan;Hoang Hai Nguyen;Eddy. Y. S. Foo;David K. Y. Yau

  • Software-Defined Networking for Smart Grid Resilience: Opportunities and Challenges

    Xinshu Dong;Hui Lin;Rui Tan;Ravishankar K. Iyer

  • Software dependability in the Tandem GUARDIAN system

    Inhwan Lee;R.K. Iyer

  • An experimental study of soft errors in microprocessors

    G.P. Saggese;N.J. Wang;Z.T. Kalbarczyk;S.J. Patel

  • Networked Windows NT system field failure data analysis

    Jun Xu;Z. Kalbarczyk;R.K. Iyer

  • Failure data analysis of a LAN of Windows NT based computers

    M. Kalyanakrishnam;Z. Kalbarczyk;R. Iyer

  • Predictability of process resource usage: a measurement-based study on UNIX

    M.V. Devarakonda;R.K. Iyer

  • Experimental evaluation

    Ravishankar K. Iyer

  • FIRM: An intelligent fine-grained resource management framework for SLO-oriented microservices

    Haoran Qiu;Subho S. Banerjee;Saurabh Jha;Zbigniew T. Kalbarczyk

  • Chameleon: a software infrastructure for adaptive fault tolerance

    S. Bagchi;K. Whisnant;Z. Kalbarczyk;R.K. Iyer

Frequent Co-Authors

Zbigniew Kalbarczyk
Zbigniew Kalbarczyk University of Illinois at Urbana-Champaign
Karthik Pattabiraman
Karthik Pattabiraman University of British Columbia
Liewei Wang
Liewei Wang Mayo Clinic
Saurabh Bagchi
Saurabh Bagchi Purdue University West Lafayette
William H. Sanders
William H. Sanders Carnegie Mellon University
Deming Chen
Deming Chen University of Illinois at Urbana-Champaign
William V. Bobo
William V. Bobo Mayo Clinic

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