Ravishankar K. Iyer

ORCID

Publication Activity (10 Years)

Years Active: 1982-2024
Publications (10 Years): 128

Top Venues

Publications

Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer
Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction. CoRR (2024)
Archit Patke, Dhemath Reddy, Saurabh Jha, Haoran Qiu, Christian Pinto, Shengkun Cui, Chandra Narayanaswami, Zbigniew Kalbarczyk, Ravishankar K. Iyer
One Queue Is All You Need: Resolving Head-of-Line Blocking in Large Language Model Serving. CoRR (2024)
Limin Yang, Zhi Chen, Chenkai Wang, Zhenning Zhang, Sushruth Booma, Phuong Cao, Constantin Adam, Alexander Withers, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Gang Wang
True Attacks, Attack Attempts, or Benign Triggers? An Empirical Measurement of Network Alerts in a Security Operations Center. USENIX Security Symposium (2024)
Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Basar, Ravishankar K. Iyer
Power-aware Deep Learning Model Serving with μ-Serve. USENIX ATC (2024)
Marco Barletta, Marcello Cinque, Catello Di Martino, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
Mutiny! How does Kubernetes fail, and what can we do about it? CoRR (2024)
Yuting Wu, Xin Lou, Pengfei Zhou, Rui Tan, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Effects of Learning-Based Action-Space Attacks on Autonomous Driving Agents. ICCPS (2023)
Chang Hu, Krishnakant V. Saboo, Ahmad H. Ali, Brian D. Juran, Konstantinos N. Lazaridis, Ravishankar K. Iyer
REMEDI: REinforcement learning-driven adaptive MEtabolism modeling of primary sclerosing cholangitis DIsease progression. ML4H@NeurIPS (2023)
Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Tamer Basar
Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity. NeurIPS (2023)
Vanessa Tay, Xinran Li, Daisuke Mashima, Bennet Ng, Phuong Cao, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Taxonomy of Fingerprinting Techniques for Evaluation of Smart Grid Honeypot Realism. SmartGridComm (2023)
Yuting Wu, Xin Lou, Pengfei Zhou, Rui Tan, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
Susceptibility of Autonomous Driving Agents to Learning-Based Action-Space Attacks. DSN-W (2023)
Haoran Qiu, Weichao Mao, Chen Wang, Hubertus Franke, Alaa Youssef, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer
AWARE: Automate Workload Autoscaling with Reinforcement Learning in Production Cloud Systems. USENIX Annual Technical Conference (2023)
Anirudh Choudhary, Angelina Hwang, Jacob Kechter, Krishnakant Saboo, Blake Bordeaux, Puneet Bhullar, Nneka I. Comfere, David DiCaudo, Steven Nelson, Emma Johnson, Leah Swanson, Dennis Murphree, Aaron Mangold, Ravishankar K. Iyer
RACR-MIL: Weakly Supervised Skin Cancer Grading using Rank-Aware Contextual Reasoning on Whole Slide Images. CoRR (2023)
Chang Hu, Krishnakant V. Saboo, Ahmad H. Ali, Brian D. Juran, Konstantinos N. Lazaridis, Ravishankar K. Iyer
REMEDI: REinforcement learning-driven adaptive MEtabolism modeling of primary sclerosing cholangitis DIsease progression. CoRR (2023)
Yurui Cao, Krishnakant V. Saboo, Václav Kremen, Vladimir Sladky, Nicholas M. Gregg, Paul M. Arnold, Suguna Pappu, Philippa J. Karoly, Dean R. Freestone, Mark J. Cook, Gregory A. Worrell, Ravishankar K. Iyer
A Transfer Learning-based Model for Individualized Clustered Seizure Prediction Using Intracranial EEG. NER (2023)
Key-whan Chung, Phuong Cao, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
stealthML: Data-driven Malware for Stealthy Data Exfiltration. CSR (2023)
Saurabh Jha, Shengkun Cui, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer
Exploiting Temporal Data Diversity for Detecting Safety-critical Faults in AV Compute Systems. DSN (2022)
Saurabh Jha, Shengkun Cui, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Watch Out for the Safety-Threatening Actors: Proactively Mitigating Safety Hazards. CoRR (2022)
Krishnakant V. Saboo, Yurui Cao, Václav Kremen, Vladimir Sladky, Nicholas M. Gregg, Paul M. Arnold, Philippa J. Karoly, Dean R. Freestone, Mark J. Cook, Gregory A. Worrell, Ravishankar K. Iyer
Individualized seizure cluster prediction using machine learning and ambulatory intracranial EEG. BIBM (2022)
Bentolhoda Jafary, Saurabh Jha, Lance Fiondella, Ravishankar K. Iyer
Data-Driven Application-Oriented Reliability Model of a High-Performance Computing System. IEEE Trans. Reliab. 71 (2) (2022)
Haoran Qiu, Weichao Mao, Archit Patke, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer
Reinforcement learning for resource management in multi-tenant serverless platforms. EuroMLSys@EuroSys (2022)
Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Tamer Basar
A Mean-Field Game Approach to Cloud Resource Management with Function Approximation. NeurIPS (2022)
Krishnakant V. Saboo, Chang Hu, Yogatheesan Varatharajah, Scott A. Przybelski, Robert I. Reid, Christopher G. Schwarz, Jonathan Graff-Radford, David S. Knopman, Mary M. Machulda, Michelle M. Mielke, Ronald C. Petersen, Paul M. Arnold, Gregory A. Worrell, David T. Jones, Clifford R. Jack Jr., Ravishankar K. Iyer, Prashanthi Vemuri
Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging. NeuroImage 251 (2022)
Archit Patke, Haoran Qiu, Saurabh Jha, Srikumar Venugopal, Michele Gazzetti, Christian Pinto, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Evaluating Hardware Memory Disaggregation under Delay and Contention. IPDPS Workshops (2022)
Haoran Qiu, Weichao Mao, Archit Patke, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer
SIMPPO: a scalable and incremental online learning framework for serverless resource management. SoCC (2022)
Zachary Stephens, Alejandro Ferrer, Lisa Boardman, Ravishankar K. Iyer, Jean-Pierre A. Kocher
Telogator: a method for reporting chromosome-specific telomere lengths from long reads. Bioinform. 38 (7) (2022)
Saurabh Jha, Yan Miao, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Watch out for the risky actors: Assessing risk in dynamic environments for safe driving. CoRR (2021)
Haoran Qiu, Saurabh Jha, Subho S. Banerjee, Archit Patke, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
Is Function-as-a-Service a Good Fit for Latency-Critical Services? WOSC@Middleware (2021)
Enliang Li, Subho S. Banerjee, Sitao Huang, Ravishankar K. Iyer, Deming Chen
Improved GPU Implementations of the Pair-HMM Forward Algorithm for DNA Sequence Alignment. ICCD (2021)
Archit Patke, Saurabh Jha, Haoran Qiu, Jim M. Brandt, Ann C. Gentile, Joe Greenseid, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Delay sensitivity-driven congestion mitigation for HPC systems. ICS (2021)
Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
BayesPerf: Minimizing Performance Monitoring Errors Using Bayesian Statistics. CoRR (2021)
Haoran Qiu, Yongzhou Chen, Tianyin Xu, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
SLO beyond the Hardware Isolation Limits. CoRR (2021)
Krishnakant V. Saboo, Anirudh Choudhary, Yurui Cao, Gregory A. Worrell, David T. Jones, Ravishankar K. Iyer
Reinforcement Learning based Disease Progression Model for Alzheimer's Disease. CoRR (2021)
Krishnakant V. Saboo, Anirudh Choudhary, Yurui Cao, Gregory A. Worrell, David T. Jones, Ravishankar K. Iyer
Reinforcement Learning based Disease Progression Model for Alzheimer's Disease. NeurIPS (2021)
Subho S. Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar K. Iyer
BayesPerf: minimizing performance monitoring errors using Bayesian statistics. ASPLOS (2021)
Hui Lin, Homa Alemzadeh, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Challenges and Opportunities in the Detection of Safety-Critical Cyberphysical Attacks. Computer 53 (3) (2020)
Haoran Qiu, Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
FIRM: An Intelligent Fine-Grained Resource Management Framework for SLO-Oriented Microservices. CoRR (2020)
Krishnakant Saboo, Chang Hu, Yogatheesan Varatharajah, Prashanthi Vemuri, Ravishankar K. Iyer
Predicting Longitudinal Cognitive Scores Using Baseline Imaging and Clinical Variables. ISBI (2020)
Subho S. Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters. ICML (2020)
Guanpeng Li, Yiran Li, Saurabh Jha, Timothy Tsai, Michael B. Sullivan, Siva Kumar Sastry Hari, Zbigniew Kalbarczyk, Ravishankar K. Iyer
AV-FUZZER: Finding Safety Violations in Autonomous Driving Systems. ISSRE (2020)
Yogatheesan Varatharajah, Haotian Chen, Andrew Trotter, Ravishankar K. Iyer
A Dynamic Human-in-the-loop Recommender System for Evidence-based Clinical Staging of COVID-19. HealthRecSys@RecSys (2020)
Saurabh Jha, Shengkun Cui, Subho S. Banerjee, Tianyin Xu, Jeremy Enos, Mike Showerman, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
Live forensics for HPC systems: a case study on distributed storage systems. SC (2020)
Yogatheesan Varatharajah, Brent M. Berry, Boney Joseph, Irena Balzekas, Václav Kremen, Benjamin H. Brinkmann, Gregory A. Worrell, Ravishankar K. Iyer
Electrophysiological Correlates of Brain Health Help Diagnose Epilepsy and Lateralize Seizure Focus. EMBC (2020)
Saurabh Jha, Shengkun Cui, Subho S. Banerjee, James Cyriac, Timothy Tsai, Zbigniew Kalbarczyk, Ravishankar K. Iyer
ML-Driven Malware that Targets AV Safety. DSN (2020)
Archit Patke, Saurabh Jha, Haoran Qiu, Jim M. Brandt, Ann C. Gentile, Joe Greenseid, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Application-aware Congestion Mitigation forHigh-Performance Computing Systems. CoRR (2020)
Saurabh Jha, Shengkun Cui, Subho S. Banerjee, Timothy Tsai, Zbigniew Kalbarczyk, Ravishankar K. Iyer
ML-driven Malware that Targets AV Safety. CoRR (2020)
Rakesh Kumar, Saurabh Jha, Ashraf Mahgoub, Rajesh Kalyanam, Stephen Lien Harrell, Xiaohui Carol Song, Zbigniew Kalbarczyk, William T. Kramer, Ravishankar K. Iyer, Saurabh Bagchi
The Mystery of the Failing Jobs: Insights from Operational Data from Two University-Wide Computing Systems. DSN (2020)
Jingde Chen, Subho S. Banerjee, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
Machine learning for load balancing in the Linux kernel. APSys (2020)
Haoran Qiu, Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
FIRM: An Intelligent Fine-grained Resource Management Framework for SLO-Oriented Microservices. OSDI (2020)
Saurabh Jha, Subho S. Banerjee, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer
ML-Based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection. DSN (2019)
Phuong Cao, Yuming Wu, Subho S. Banerjee, Justin Azoff, Alexander Withers, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
CAUDIT: Continuous Auditing of SSH Servers To Mitigate Brute-Force Attacks. NSDI (2019)
Key-whan Chung, Phuong Cao, Yuming Wu, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer, Alexander Withers
TRACTION: an infrastructure for trusted alert sharing and collaborative mitigation. HotSoS (2019)
Key-whan Chung, Xiao Li, Peicheng Tang, Zeran Zhu, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer, Thenkurussi Kesavadas
Smart Malware that Uses Leaked Control Data of Robotic Applications: The Case of Raven-II Surgical Robots. RAID (2019)
Jacob R Heldenbrand, Saurabh Baheti, Matthew A. Bockol, Travis M. Drucker, Steven N. Hart, Matthew E. Hudson, Ravishankar K. Iyer, Michael Kalmbach, Katherine I Kendig, Eric W. Klee, Nathan R Mattson, Eric D. Wieben, Mathieu Wiepert, Derek E. Wildman, Liudmila S. Mainzer
Recommendations for performance optimizations when using GATK3.8 and GATK4. BMC Bioinform. 20 (1) (2019)
Yogatheesan Varatharajah, Krishnakant Saboo, Ravishankar K. Iyer, Scott A. Przybelski, Christopher G. Schwarz, Ronald C. Petersen, Clifford R. Jack, Prashanthi Vemuri
A Joint Model for Predicting Structural and Functional Brain Health in Elderly Individuals. BIBM (2019)
Krishnakant V. Saboo, Yogatheesan Varatharajah, Brent M. Berry, Michael R. Sperling, Richard J. T. Gorniak, Kathryn A. Davis, Barbara C. Jobst, Robert E. Gross, Bradley Lega, Sameer A. Sheth, Michael J. Kahana, Michal T. Kucewicz, Gregory A. Worrell, Ravishankar K. Iyer
A Computationally Efficient Model for Predicting Successful Memory Encoding Using Machine-Learning-based EEG Channel Selection. NER (2019)
Subho S. Banerjee, James Cyriac, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
Towards a Bayesian Approach for Assessing Fault Tolerance of Deep Neural Networks. DSN (Supplements) (2019)
Saurabh Jha, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer
Kayotee: A Fault Injection-based System to Assess the Safety and Reliability of Autonomous Vehicles to Faults and Errors. CoRR (2019)
Saurabh Jha, Subho S. Banerjee, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer
ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection. CoRR (2019)
Saurabh Jha, Shengkun Cui, Tianyin Xu, Jeremy Enos, Mike Showerman, Mark Dalton, Zbigniew T. Kalbarczyk, William T. Kramer, Ravishankar K. Iyer
Live Forensics for Distributed Storage Systems. CoRR (2019)
Subho S. Banerjee, Mohamed El-Hadedy, Jong Bin Lim, Zbigniew T. Kalbarczyk, Deming Chen, Steven S. Lumetta, Ravishankar K. Iyer
ASAP: Accelerated Short-Read Alignment on Programmable Hardware. IEEE Trans. Computers 68 (3) (2019)
Key-whan Chung, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
Availability attacks on computing systems through alteration of environmental control: smart malware approach. ICCPS (2019)
Hui Lin, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
RAINCOAT: Randomization of Network Communication in Power Grid Cyber Infrastructure to Mislead Attackers. IEEE Trans. Smart Grid 10 (5) (2019)
Subho S. Banerjee, Saurabh Jha, Ravishankar K. Iyer
Inductive Bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters. CoRR (2019)
Subho S. Banerjee, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
: Accelerating Markov Chain Monte Carlo Algorithms for Probabilistic Models. ASPLOS (2019)
Valerio Formicola, Saurabh Jha, Daniel Chen, Fei Deng, Amanda Bonnie, Mike Mason, Jim M. Brandt, Ann C. Gentile, Larry Kaplan, Jason Repik, Jeremy Enos, Mike Showerman, Annette Greiner, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Bill Kramer
Understanding Fault Scenarios and Impacts through Fault Injection Experiments in Cielo. CoRR (2019)
Saurabh Jha, Archit Patke, Jim M. Brandt, Ann C. Gentile, Mike Showerman, Eric Roman, Zbigniew T. Kalbarczyk, William T. Kramer, Ravishankar K. Iyer
A Study of Network Congestion in Two Supercomputing High-Speed Interconnects. CoRR (2019)
Jacob R Heldenbrand, Saurabh Baheti, Matthew A. Bockol, Travis M. Drucker, Steven N. Hart, Matthew E. Hudson, Ravishankar K. Iyer, Michael Kalmbach, Katherine I Kendig, Eric W. Klee, Nathan R Mattson, Eric D. Wieben, Mathieu Wiepert, Derek E. Wildman, Liudmila S. Mainzer
Correction to: Recommendations for performance optimizations when using GATK3.8 and GATK4. BMC Bioinform. 20 (1) (2019)
Saurabh Jha, Archit Patke, Jim M. Brandt, Ann C. Gentile, Mike Showerman, Eric Roman, Zbigniew T. Kalbarczyk, Bill Kramer, Ravishankar K. Iyer
A Study of Network Congestion in Two Supercomputing High-Speed Interconnects. Hot Interconnects (2019)
Zachary D. Stephens, Ravishankar K. Iyer
Measuring the Mappability Spectrum of Reference Genome Assemblies. BCB (2018)
Hui Lin, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Impact of Malicious SCADA Commands on Power Grids' Dynamic Responses. SmartGridComm (2018)
Yogatheesan Varatharajah, Brent M. Berry, Sanmi Koyejo, Ravishankar K. Iyer
A Contextual-bandit-based Approach for Informed Decision-making in Clinical Trials. CoRR (2018)
Arjun P. Athreya, Ravishankar K. Iyer, Drew Neavin, Liewei Wang, Richard M. Weinshilboum, Rima Kaddurah-Daouk, A. John Rush, Mark A. Frye, William V. Bobo
Augmentation of Physician Assessments with Multi-Omics Enhances Predictability of Drug Response: A Case Study of Major Depressive Disorder. IEEE Comput. Intell. Mag. 13 (3) (2018)
Hui Lin, Chen Chen, Jianhui Wang, Junjian Qi, Dong Jin, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
Self-Healing Attack-Resilient PMU Network for Power System Operation. IEEE Trans. Smart Grid 9 (3) (2018)
Subho S. Banerjee, Mohamed El-Hadedy, Jong Bin Lim, Zbigniew T. Kalbarczyk, Deming Chen, Steven S. Lumetta, Ravishankar K. Iyer
ASAP: Accelerated Short-Read Alignment on Programmable Hardware. CoRR (2018)
Zachary Stephens, Chen Wang, Ravishankar K. Iyer, Jean-Pierre A. Kocher
Detection and visualization of complex structural variants from long reads. BMC Bioinform. (20) (2018)
Saurabh Jha, Subho S. Banerjee, James Cyriac, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
AVFI: Fault Injection for Autonomous Vehicles. DSN Workshops (2018)
Subho S. Banerjee, Saurabh Jha, James Cyriac, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
Hands Off the Wheel in Autonomous Vehicles?: A Systems Perspective on over a Million Miles of Field Data. DSN (2018)
Subho S. Banerjee, Arjun P. Athreya, Zbigniew Kalbarczyk, Steven Lumetta, Ravishankar K. Iyer
A ML-based Runtime System for Executing Dataflow Graphs on Heterogeneous Processors. SoCC (2018)
Hui Lin, Adam J. Slagell, Zbigniew T. Kalbarczyk, Peter W. Sauer, Ravishankar K. Iyer
Runtime Semantic Security Analysis to Detect and Mitigate Control-Related Attacks in Power Grids. IEEE Trans. Smart Grid 9 (1) (2018)
Yogatheesan Varatharajah, Brent M. Berry, Jan Cimbalnik, Václav Kremen, Jamie Van Gompel, Matt Stead, Benjamin H. Brinkmann, Ravishankar K. Iyer, Gregory A. Worrell
Integrating Artificial Intelligence with Real-time Intracranial EEG Monitoring to Automate Interictal Identification of Seizure Onset Zones in Focal Epilepsy. CoRR (2018)
Saurabh Jha, Valerio Formicola, Catello Di Martino, Mark Dalton, William T. Kramer, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Resiliency of HPC Interconnects: A Case Study of Interconnect Failures and Recovery in Blue Waters. IEEE Trans. Dependable Secur. Comput. 15 (6) (2018)
Saurabh Jha, Jim M. Brandt, Ann C. Gentile, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Characterizing Supercomputer Traffic Networks Through Link-Level Analysis. CLUSTER (2018)
Key-whan Chung, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
Indirect cyber attacks by perturbation of environment control: a data driven attack model: poster. HotSoS (2018)
Yogatheesan Varatharajah, Min Jin Chong, Krishnakant Saboo, Brent M. Berry, Benjamin H. Brinkmann, Gregory A. Worrell, Ravishankar K. Iyer
EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms. NIPS (2017)
Zachary D. Stephens, Ravishankar K. Iyer, Chen Wang, Jean-Pierre A. Kocher
Unraveling complex local genomic rearrangements from long-read data. BIBM (2017)
Read Sprabery, Zachary John Estrada, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer, Rakesh B. Bobba, Roy H. Campbell
Trustworthy Services Built on Event-Based Probing for Layered Defense. IC2E (2017)
Subho S. Banerjee, Mohamed El-Hadedy, Ching Y. Tan, Zbigniew T. Kalbarczyk, Steven S. Lumetta, Ravishankar K. Iyer
On accelerating pair-HMM computations in programmable hardware. FPL (2017)
Arjun P. Athreya, Subho S. Banerjee, Drew Neavin, Rima Kaddurah-Daouk, A. John Rush, Mark A. Frye, Liewei Wang, Richard M. Weinshilboum, William V. Bobo, Ravishankar K. Iyer
Data-driven longitudinal modeling and prediction of symptom dynamics in major depressive disorder: Integrating factor graphs and learning methods. CIBCB (2017)
Saurabh Jha, Jim M. Brandt, Ann C. Gentile, Zbigniew Kalbarczyk, Gregory H. Bauer, Jeremy Enos, Michael T. Showerman, Larry Kaplan, Brett M. Bode, Annette Greiner, Amanda Bonnie, Mike Mason, Ravishankar K. Iyer, William Kramer
Holistic Measurement-Driven System Assessment. CLUSTER (2017)
Yogatheesan Varatharajah, Brent M. Berry, Zbigniew T. Kalbarczyk, Benjamin H. Brinkmann, Gregory A. Worrell, Ravishankar K. Iyer
Inter-ictal Seizure Onset Zone localization using unsupervised clustering and Bayesian Filtering. NER (2017)
Arjun P. Athreya, Don Armstrong, William Gundling, Derek E. Wildman, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
Prediction of adenocarcinoma development using game theory. EMBC (2017)
Rui Tan, Hoang Hai Nguyen, Yi Shyh Eddy Foo, David K. Y. Yau, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Hoay Beng Gooi
Modeling and Mitigating Impact of False Data Injection Attacks on Automatic Generation Control. IEEE Trans. Inf. Forensics Secur. 12 (7) (2017)
Yogatheesan Varatharajah, Ravishankar K. Iyer, Brent M. Berry, Gregory A. Worrell, Benjamin H. Brinkmann
Seizure Forecasting and the Preictal State in Canine Epilepsy. Int. J. Neural Syst. 27 (1) (2017)
Cuong Pham, Long Wang, Byung-Chul Tak, Salman Baset, Chunqiang Tang, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
Failure Diagnosis for Distributed Systems Using Targeted Fault Injection. IEEE Trans. Parallel Distributed Syst. 28 (2) (2017)
Subho S. Banerjee, Mohamed El-Hadedy, Jong Bin Lim, Daniel Chen, Zbigniew T. Kalbarczyk, Deming Chen, Ravishankar K. Iyer
ASAP: Accelerated Short Read Alignment on Programmable Hardware (Abstract Only). FPGA (2017)
Catello Di Martino, Santonu Sarkar, Rajeshwari Ganesan, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
Analysis and Diagnosis of SLA Violations in a Production SaaS Cloud. IEEE Trans. Reliab. 66 (1) (2017)
Zachary John Estrada, Read Sprabery, Lok K. Yan, Zhongzhi Yu, Roy H. Campbell, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
Using OS Design Patterns to Provide Reliability and Security as-a-Service for VM-based Clouds. VEE (2017)
Bernard Lim, Daniel Chen, Yongkyu An, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Attack Induced Common-Mode Failures on PLC-Based Safety System in a Nuclear Power Plant: Practical Experience Report. PRDC (2017)
Shuo Chen, Matt McCutchen, Phuong Cao, Shaz Qadeer, Ravishankar K. Iyer
SVAuth - A Single-Sign-On Integration Solution with Runtime Verification. RV (2017)
Subho S. Banerjee, Arjun P. Athreya, Liudmila S. Mainzer, C. Victor Jongeneel, Wen-mei W. Hwu, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
Efficient and Scalable Workflows for Genomic Analyses. DIDC@HPDC (2016)

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Ravishankar K. Iyer