Poster Abstract: Towards Worst-Case Bounds Analysis of the IEEE 802.15.4e. - Harrison Kurunathan; Ricardo Severino; Anis Koubaa; Eduardo Tovar (RTAS, 2016)

Worst-case bound analysis for the time-critical MAC behaviors of IEEE 802.15.4e. - Harrison Kurunathan; Ricardo Severino; Anis Koubaa; Eduardo Tovar (WFCS, 2017)

Cooperative key generation for data dissemination in cyber-physical systems. - Kai Li 002; Harrison Kurunathan; Ricardo Severino; Eduardo Tovar (ICCPS, 2018)

An efficient approach to multisuperframe tuning for DSME networks: poster abstract. - Harrison Kurunathan; Ricardo Severino; Anis Koubâa; Eduardo Tovar (IPSN, 2018)

IEEE 802.15.4e in a Nutshell: Survey and Performance Evaluation. - Harrison Kurunathan; Ricardo Severino; Anis Koubaa; Eduardo Tovar (IEEE Commun. Surv. Tutorials, 2018)

DynaMO - Dynamic Multisuperframe Tuning for Adaptive IEEE 802.15.4e DSME Networks. - Harrison Kurunathan; Ricardo Severino; Anis Koubaa; Eduardo Tovar (IEEE Access, 2019)

DynaMO: dynamically tuning DSME networks. - Harrison Kurunathan; Ricardo Severino; Anis Koubaa; Eduardo Tovar (SIGBED Rev., 2019)

Symphony: routing aware scheduling for DSME networks. - Harrison Kurunathan; Ricardo Severino; Anis Koubaa; Eduardo Tovar (SIGBED Rev., 2019)

WiCAR - Simulating Towards the Wireless Car. - Harrison Kurunathan; Ricardo Severino; Enio Vasconcelos Filho; Eduardo Tovar (SAFECOMP Workshops, 2020)

Tightening Up Security In Low Power Deterministic Networks. - Walter Tiberti; Bruno Vieira; Harrison Kurunathan; Ricardo Severino; Eduardo Tovar (WFCS, 2020)

Deep Reinforcement Learning for Persistent Cruise Control in UAV-aided Data Collection. - Harrison Kurunathan; Kai Li 002; Wei Ni 001; Eduardo Tovar; Falko Dressler (LCN, 2021)

Work-in-Progress: Worst-Case Response Time of Intersection Management Protocols. - Radha Reddy; Luís Almeida 001; Miguel Gutiérrez Gaitán; Harrison Kurunathan; Pedro M. Santos 002; Eduardo Tovar (RTSS, 2021)

A Comprehensive Worst Case Bounds Analysis of IEEE 802.15.7. - Harrison Kurunathan; Ricardo Severino; Eduardo Tovar (J. Sens. Actuator Networks, 2021)

Improving QoS for IEEE 802.15.4e DSME Networks - Harrison Kurunathan (2021)

Data-driven Deep Reinforcement Learning for Online Flight Resource Allocation in UAV-aided Wireless Powered Sensor Networks. - Kai Li 002; Wei Ni 001; Harrison Kurunathan; Falko Dressler (ICC, 2022)

Hybrid pixel based method for multimodal image fusion based on Integration of Pulse Coupled Neural Network (PCNN) and Genetic Algorithm (GA) using Empirical Mode Decomposition (EMD). - R. Indhumathi; T. V. Narmadha; Harrison Kurunathan (Microprocess. Microsystems, 2022)

Edge-Aided V2X Collision Avoidance with Platoons: Towards a Hybrid Evaluation Toolset. - João Pereira; Harrison Kurunathan; Enio Vasconcelos Filho; Pedro M. Santos 002 (DSN-W, 2023)

Demo: Object detection under 5G-edge mobility. - Marco Araújo; João Silva; Pedro M. Santos 002; Himanshu Singh; Deepak Gunjal; João Pedro Fonseca 001; Paulo Duarte; Bruno Mendes; Raul Barbosa; Peter Steenkiste; Saeid Sabamoniri; Luis Lam; et al. (WoWMoM, 2023)

Towards Safe Cooperative Autonomous Platoon systems using COTS Equipment. - Harrison Kurunathan; José Santos; Duarte Moreira; Pedro M. Santos 002 (WoWMoM, 2023)

Joint Spectrum and Antenna Selection Diversity for V2V Links with Ground Reflections. - Ramiro Robles; Miguel Gutiérrez Gaitán; Gowhar Javanmardi; Harrison Kurunathan (ARTIIS Workshops (2), 2024)

DynaVLC - Towards Dynamic GTS Allocation in VLC Networks (Invited Paper). - Harrison Kurunathan; Miguel Gutiérrez Gaitán; Ramiro Sámano-Robles; Eduardo Tovar (NG-RES@HiPEAC, 2024)

Exploring LSTM-assisted A2C For Physical Layer Security in Vehicular Cyber-Physical Systems. - Harrison Kurunathan; Kai Li 002; Wei Ni 001; Na Li 001; Eduardo Tovar; Mohsen Guizani (IWCMC, 2024)

Q-light: Q-learning enabled VLC network routing. - Harrison Kurunathan; Ramiro Robles; Miguel Gutiérrez Gaitán; Indhumathi Ravichandran; Eduardo Tovar (MobiArch, 2024)

Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey. - Harrison Kurunathan; Hailong Huang 001; Kai Li 002; Wei Ni 001; Ekram Hossain 001 (IEEE Commun. Surv. Tutorials, 2024)

DRL-KeyAgree: An Intelligent Combinatorial Deep Reinforcement Learning-Based Vehicular Platooning Secret Key Generation. - Harrison Kurunathan; Kai Li 002; Eduardo Tovar; Alípio Mário Jorge; Wei Ni 001; Abbas Jamalipour (IEEE Trans. Intell. Transp. Syst., 2024)

Energy Profiling of Lightweight Authentication protocols for Software-Defined Vehicles. - Harrison Kurunathan; Hazem Ismail Ali; Mohamed Hamdy Eldefrawy; Eduardo Tovar (FiCloud, 2025)

Towards a Secure Resource Sharing Architecture in Connected Vehicles. - Saeid Sabamoniri; Harrison Kurunathan; Pedro M. Santos 002; Munkenyi Mukhandi; Fernando Alves (FiCloud, 2025)

Prospects of Artificial Intelligence for Cloud-Integrated Intelligent Transportation Systems. - Akula Sandeep; Radha Reddy; Krishnamoorthi Makkithaya; Rajesh Mahadeva; Harrison Kurunathan (FiCloud, 2025)

ZeroCAN: Anomaly-Based Zero-Day Attack Detection in Vehicular CAN Bus Networks. - Jonathan Rendel; William Balte; Harrison Kurunathan; Hazem Ismail Ali; Alexandre Dos Santos Roque; Wagner Ourique de Morais; Mahdi Fazeli (PDP, 2025)

Adaptive Intrusion Mitigation in Software-Defined Vehicles Using Deep Reinforcement Learning. - Harrison Kurunathan; Hazem Ismail Ali; Gowhar Javanmardi; Mohamed Eldefrawy; Miguel Gutiérrez Gaitán; Ramiro Robles; Patrick Meumeu Yomsi; Eduardo Tovar (RAGE@SenSys, 2025)

Navigating the Challenges and Opportunities of Securing Internet of Autonomous Vehicles With Lightweight Authentication. - Hazem Ismail Ali; Harrison Kurunathan; Mohamed Hamdy Eldefrawy; Flavius Gruian; Magnus Jonsson (IEEE Access, 2025)