Colorado State University, 2022
Recommended citation: V. K. Kukkala, "Robust and Secure Resource Management for Automotive Cyber-Physical Systems," Colorado State University, 2022.
Published in Springer Nature, 2023
Recommended citation: V. K. Kukkala and S. Pasricha, "Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems," in Springer Nature, 2023.
Published in Springer Nature, 2023
Recommended citation: S. V. Thiruloga, V. K. Kukkala, and S. Pasricha, "Deep AI for Anomaly Detection in Automotive Cyber-Physical Systems," in Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems, Springer Nature, 2023.
Published in Springer Nature, 2023
Recommended citation: V. K. Kukkala, S. V. Thiruloga, and S. Pasricha, "Stacked LSTM Based Anomaly Detection in Time-Critical Automotive Networks," in Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems, Springer Nature, 2023.
Published in Springer Nature, 2023
Recommended citation: V. K. Kukkala, S. V. Thiruloga, and S. Pasricha, "Real-Time Intrusion Detection in Automotive Cyber-Physical Systems with Recurrent Autoencoders," in Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems, Springer Nature, 2023.
Published in Springer Nature, 2023
Recommended citation: V. K. Kukkala, T. Bradley, and S. Pasricha, "Security-Aware Design of Time-Critical Automotive Cyber-Physical Systems," in Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems, Springer Nature, 2023.
Published in Springer Nature, 2023
Recommended citation: V. K. Kukkala, T. Bradley, and S. Pasricha, "Reliable Real-Time Message Scheduling in Automotive Cyber-Physical Systems," in Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems, Springer Nature, 2023.
Published in Springer Nature, 2023
Recommended citation: V. K. Kukkala, S. V. Thiruloga, and S. Pasricha, "Machine Learning for Anomaly Detection in Automotive Cyber-Physical Systems," in Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing, Springer Nature, 2023.
Published in Springer Nature, 2023
Recommended citation: V. K. Kukkala, S. V. Thiruloga, and S. Pasricha, "AI for Cybersecurity in Distributed Automotive IoT Systems," in Frontiers of Quality Electronic Design (QED), Springer Nature, 2023.
Published in IEEE Consumer Electronics Magazine, 2022
Recommended citation: V. K. Kukkala, S. V. Thiruloga, and S. Pasricha, "Roadmap for Cybersecurity in Autonomous Vehicles," in IEEE Consumer Electronics Magazine (CEM), February 2022.
Published in ACM Transactions on Embedded Computing Systems, 2021
Recommended citation: V. K. Kukkala, S. V. Thiruloga, and S. Pasricha, "LATTE: LSTM Self-Attention based Anomaly Detection in Embedded Automotive Platforms," in ACM Transactions on Embedded Computing Systems (TECS), Vol. 20, No. 5s, Article 67, August 2021.
Published in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020
Recommended citation: V. K. Kukkala, S. V. Thiruloga, and S. Pasricha, "INDRA: Intrusion Detection using Recurrent Autoencoders in Automotive Embedded Systems," in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Vol. 39, Iss. 11, November 2020.
Published in IEEE Transactions on Vehicular Technology (TVT), 2020
Recommended citation: V. Kukkala, S. Pasricha, and T. Bradley, "SEDAN: Security-Aware Design of Time-Critical Automotive Networks," in IEEE Transaction on Vehicular Technology (TVT), Vol. 69, Iss. 8, August 2020.
Published in ACM Transactions on Design Automation of Electronic Systems (TODAES), 2019
Recommended citation: V. K. Kukkala, S. Pasricha, and T. Bradley, "JAMS-SG: A Framework for Jitter-Aware Message Scheduling for Time-Triggered Automotive Networks," in ACM Transactions on Design Automation of Electronic Systems (TODAES), Vol. 24, Iss. 6, September 2019.
Published in IEEE Consumer Electronics Magazine (CEM), 2018
Recommended citation: V. K. Kukkala, J. Tunnell, S. Pasricha and T. Bradley, "Advanced Driver-Assistance Systems: A Path Toward Autonomous Vehicles," in IEEE Consumer Electronics Magazine (CEM), vol. 7, no. 5, pp. 18-25, Sept. 2018.
Published in IEEE/ACM Asia & South Pacific Design Automation Conference (ASPDAC), 2022
Recommended citation: S. V. Thiruloga, V. K. Kukkala, and S. Pasricha, "TENET: Temporal CNN with Attention for Anomaly Detection in Automotive Cyber-Physical Systems," in Proc. of IEEE/ACM Asia & South Pacific Design Automation Conference (ASPDAC), January 2022.
Published in IEEE/ACM Programming Environments for Heterogeneous Computing (PEHC), 2021
Recommended citation: D. Emmot, R. Menhusen, D. Dauwe, V. K. Kukkala, and K. Bresniker, "Designing Heterogeneous Systems: Large Scale Architectural Exploration Via Simulation," in Proc. of IEEE/ACM Programming Environments for Heterogeneous Computing (PEHC), December 2021.
Published in SAE World Congress Experience (WCX), 2019
Recommended citation: G. C. DiDomenico, J. Bair, V. K. Kukkala, et al., "Colorado State University EcoCAR 3 Final Technical Report," in SAE World Congress Experience (WCX), April 2019.
Published in IEEE/ACM International Symposium on Network-on-Chip (NOCS), 2017
Recommended citation: V. K. Kukkala, S. Pasricha, and T. Bradley, "JAMS: Jitter-Aware Message Scheduling for FlexRay Automotive Networks," in Proc. of IEEE/ACM International Symposium on Network-on-Chip (NOCS), October 2017.
Published in IEEE Transportation Electrification Conference (ITEC), 2017
Recommended citation: V. K. Kukkala, T. Bradley, and S. Pasricha, "Uncertainty Analysis and Propagation for an Auxiliary Power Module," in Proc. of IEEE Transportation Electrification Conference (ITEC), June 2017.
Published in IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling, 2015
Recommended citation: V. K. Kukkala, T. Bradley, and S. Pasricha, "Priority-based Multi-level Monitoring of Signal Integrity in a Distributed Powertrain Control System," in Proc. of 4th IFAC Workshop on Engine and Powertrain Control, Simulation and Modeling, July 2015.
Published in U.S. Patent (US11644882B2), 2023
Recommended citation: H. Kuno, A. Davis, T. Wilde, D. W. Dauwe, D. Roweth, R. D. Menhusen, S. Serebryakov, J. L. Byrne, V. K. Kukkala, and S. R. Chalamalasetti, Hewlett Packard Enterprise Development LP, 2023. System and method for predicting power usage of network components. U.S. Patent (US11644882B2)
Presented at IEEE Transportation Electrification Conference (ITEC), 2017
Presented at CSU Ventures Innovation Forum, 2016
Presented at IEEE/ACM Design Automation Conference (DAC) Ph.D. Forum, 2020
Published in Colorado State University Source Magazine, 2018
Published in Colorado State University Source Magazine, 2017
Published in Colorado State University College Avenue, 2017