Optimal Multi-Decision Mobile Computation Offloading With Hard Task Deadlines. - Arvin Hekmati; Peyvand Teymoori; Terence D. Todd; Dongmei Zhao; George Karakostas (ISCC, 2019)

Mobile Encounter-based Social Sybil Control. - Martin Martinez; Arvin Hekmati; Bhaskar Krishnamachari; Seokgu Yun (SDS, 2020)

Optimal multi-part mobile computation offloading with hard deadline constraints. - Arvin Hekmati; Peyvand Teymoori; Terence D. Todd; Dongmei Zhao; George Karakostas (Comput. Commun., 2020)

Optimal Mobile Computation Offloading with Hard Deadline Constraints. - Arvin Hekmati; Peyvand Teymoori; Terence D. Todd; Dongmei Zhao; George Karakostas (IEEE Trans. Mob. Comput., 2020)

Course Scheduling to Minimize Student Wait Times For University Buildings During Epidemics. - Arvin Hekmati; Bhaskar Krishnamachari; Maja J. Mataric (IEEE BigData, 2021)

Simulation-Based Analysis of COVID-19 Spread Through Classroom Transmission on a University Campus. - Arvin Hekmati; Mitul Luhar; Bhaskar Krishnamachari; Maja J. Mataric (ICC Workshops, 2021)

CONTAIN: Privacy-oriented Contact Tracing Protocols for Epidemics. - Arvin Hekmati; Gowri Sankar Ramachandran; Bhaskar Krishnamachari (IM, 2021)

Large-scale Urban IoT Activity Data for DDoS Attack Emulation. - Arvin Hekmati; Eugenio Grippo; Bhaskar Krishnamachari (SenSys, 2021)

Dataset: Large-scale Urban IoT Activity Data for DDoS Attack Emulation. - Arvin Hekmati; Eugenio Grippo; Bhaskar Krishnamachari (CoRR, 2021)

Preemptive Mobile Computation Offloading With Hard Deadlines and Concurrent Local Execution. - Peyvand Teymoori; Arvin Hekmati; Terence D. Todd; Dongmei Zhao; George Karakostas (IEEE Trans. Green Commun. Netw., 2021)

Neural Networks for DDoS Attack Detection using an Enhanced Urban IoT Dataset. - Arvin Hekmati; Eugenio Grippo; Bhaskar Krishnamachari (ICCCN, 2022)

PhD Forum Abstract: DDoS attack detection in IoT systems using Neural Networks. - Arvin Hekmati (IPSN, 2023)

Demo Abstract: CUDDoS - Correlation-aware Ubiquitous Detection of DDoS in IoT Systems. - Jiahe Zhang; Tamoghna Sarkar; Arvin Hekmati; Bhaskar Krishnamachari (SenSys, 2023)

Application of Large Language Models to DDoS Attack Detection. - Michael Guastalla; Yiyi Li; Arvin Hekmati; Bhaskar Krishnamachari (SmartSP, 2023)

Correlation-Aware Neural Networks for DDoS Attack Detection In IoT Systems. - Arvin Hekmati; Nishant Jethwa; Eugenio Grippo; Bhaskar Krishnamachari (CoRR, 2023)

Large-Scale Urban IoT Dataset. - Arvin Hekmati; Nishant Jethwa; Eugenio Grippo; Bhaskar Krishnamachari (IEEE DataPort, 2023)

IoT in the Era of Generative AI: Vision and Challenges. - Xin Wang 120; Zhongwei Wan; Arvin Hekmati; Mingyu Zong; Samiul Alam; Mi Zhang 002; Bhaskar Krishnamachari (CoRR, 2024)

Graph-Based DDoS Attack Detection in IoT Systems with Lossy Network. - Arvin Hekmati; Bhaskar Krishnamachari (CoRR, 2024)

The Internet of Things in the Era of Generative AI: Vision and Challenges. - Xin Wang 120; Zhongwei Wan; Arvin Hekmati; Mingyu Zong; Samiul Alam; Mi Zhang 002; Bhaskar Krishnamachari (IEEE Internet Comput., 2024)

Correlation-Aware Neural Networks for DDoS Attack Detection in IoT Systems. - Arvin Hekmati; Jiahe Zhang; Tamoghna Sarkar; Nishant Jethwa; Eugenio Grippo; Bhaskar Krishnamachari (IEEE/ACM Trans. Netw., 2024)

Integrating large language models with internet of things: applications. - Mingyu Zong; Arvin Hekmati; Michael Guastalla; Yiyi Li; Bhaskar Krishnamachari (Discov. Internet Things, 2025)