CV

Education

• B.S. in GitHub, GitHub University, 2012
• M.S. in Jekyll, GitHub University, 2014
• Ph.D in Version Control Theory, GitHub University, 2018 (expected)

Work experience

• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Priority-based Multi-level Monitoring of Signal Integrity in a Distributed Powertrain Control System

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.

Reliability Aware Message Scheduling for FlexRay Automotive Networks

EcoCAR 3 Students Drive Innovation

EcoCAR 3 secures top-8 finishes and sportsmanship award at Year Three Competition

Uncertainty Analysis and Propagation for an Auxiliary Power Module

Uncertainty analysis and propagation for an Auxiliary Power Module

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.

JAMS: Jitter-Aware Message Scheduling for FlexRay Automotive Networks

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.

Advanced Driver-Assistance Systems: A path toward autonomous vehicles

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.

And they’re off again: CSU chosen for EcoCAR Mobility Challenge

Colorado State University EcoCAR 3 Final Technical Report

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.

JAMS-SG: A Framework for Jitter-Aware Message Scheduling for Time-Triggered Automotive Networks

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.

ROSETTA: Robust and Secure Resource Management for Time-Critical Automotive Systems

SEDAN: Security-Aware Design of Time-Critical Automotive Networks

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.

INDRA: Intrusion Detection using Recurrent Autoencoders in Automotive Embedded Systems

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.

LATTE: LSTM Self-Attention based Anomaly Detection in Embedded Automotive Platforms

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.

Designing Heterogeneous Systems: Large Scale Architectural Exploration Via Simulation

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.

TENET: Temporal CNN with Attention for Anomaly Detection in Automotive Cyber-Physical Systems ( ** Best paper award candidate ** )

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.

Robust and Secure Resource Management for Automotive Cyber-Physical Systems

V. K. Kukkala, "Robust and Secure Resource Management for Automotive Cyber-Physical Systems," Colorado State University, 2022.

Roadmap for Cybersecurity in Autonomous Vehicles

V. K. Kukkala, S. V. Thiruloga, and S. Pasricha, "Roadmap for Cybersecurity in Autonomous Vehicles," in IEEE Consumer Electronics Magazine (CEM), February 2022.

AI for Cybersecurity in Distributed Automotive IoT Systems

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.

System and method for predicting power usage of network components

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)

Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems

V. K. Kukkala and S. Pasricha, "Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems," in Springer Nature, 2023.

Reliable Real-Time Message Scheduling in Automotive Cyber-Physical Systems

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.

Security-Aware Design of Time-Critical Automotive Cyber-Physical Systems

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.

Real-Time Intrusion Detection in Automotive Cyber-Physical Systems with Recurrent Autoencoders

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.

Stacked LSTM Based Anomaly Detection in Time-Critical Automotive Networks

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.

Deep AI for Anomaly Detection in Automotive Cyber-Physical Systems

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.

Machine Learning for Anomaly Detection in Automotive Cyber-Physical Systems

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.

Talks

DAC PhD Forum, 2020 - Vipin Kumar Kukkala

Talk at Design Automation Conference,

CASES 2020 - INDRA: Intrusion Detection using Recurrent Autoencoders in Automotive Embedded Systems

Talk at CASES: International Conference on Compilers, Architectures, and Synthesis for Embedded Systems,

CODES+ISSS 2021 - LATTE (Lightning Talk)

Talk at CODES+ISSS: International Conference on Hardware/Software Codesign and System Synthesis,

Teaching

Teaching experience 1

Teaching experience 2

Service and leadership

• Currently signed in to 43 different slack teams