I am currently working as a post-doctoral fellow at University of Houston, affiliated ​with ​USDOT Tier 1 UTC Transportation Cybersecurity Center for Advanced Research and Education (CYBER-CARE), focusing on developing in-vehicle network security and practical end-to-end security-aware mechanism for connected vehicles by leveraging edge computing and advanced cryptographic techniques. Before that, I have finished my Ph.D. at Electrical and Computer Engineering department in University of Massachusetts Dartmouth, advised by Prof. Honggang Wang, IEEE Fellow. My doctoral research contributes to advancing the design of safe, intelligent, and resilient transportation systems by bridging reliable connectivity with strengthened security mechanisms for connected vehicles. My research works have been published in major IEEE Transactions, Magazines, and Conferences.

The aim of my research primarily includes designing, developing, and implementing practical solutions for cyber-physical systems, with applications involving safety-critical, mission-critical, and consumer-focused domains, such as transportation and mobility, smart grids, industrial systems, and smart cities, among others. For that, my research interests are directed mainly toward incorporating advanced techniques, including cryptography, sensing, communications, deep learning, edge intelligence, and generative AI. More specifically:

• Applied Cryptography: Public-Key Cryptography, Post-Quantum/Quantum-Safe Cryptography, Blockchain, and Smart Contract
• Privacy-Preserving Technologies: Secure Multi-Party Computation, Homomorphic Encryption, and Zero-Knowledge Proof
• Sensing and Communications: V2X, AI-Native Wireless, Beyond 5G/6G, RF/Non-RF Sensing, ISAC, and Semantic Communications
• Deep Learning: Transformers, Multimodal Learning, and Mixture of Experts
• Edge Intelligence: Edge computing, On-Device/Edge AI, TinyML, Federated Learning, and Federated Unlearning
• Generative AI: Foundation Model, LoRA, Agentic AI, One-Shot Learning, and Few-Shot Learning

NOTE: If you are interested in collaboration or just have a chat with me, feel free to contact me: mmollah@uh.edu or m.m.baqer@ieee.org

• [September'25] Joined University of Houston as a ​Post-Doctoral Fellow, focusing on communications and cyber security aspects of connected vehicles. Looking forward to contributing in this field!
• [August'25] Successfully defended my Ph.D. dissertation entitled “On Enabling Multi-Modal Sensing and Security Techniques for Connected Vehicles”, and my research contributes to advancing secure, intelligent, and reliable connected vehicle systems.
• [August'25] Our latest work on millimeter wave beamforming for V2V communications by multi-modal sensing entitled “Multi-Modal Sensing Aided mmWave Beamforming for V2V Communications with Transformers” has been accepted to present in IEEE Global Communications Conference (IEEE GLOBECOM), 2025 [Arxiv] [ResearchGate] [Codes]
• [April'25] Our latest work on 60 GHz millimeter wave beamforming for V2X communications entitled “Multi-Modality Sensing in mmWave Beamforming for Connected Vehicles Using Deep Learning” has been accepted and published in IEEE Transactions on Cognitive Communications and Networking [IEEE Xplore] [ResearchGate] [Codes]
• [January'25] Successfully passed doctoral comprehensive written and oral exams, PhD candidate now!
• [July'24] Our latest work on IoT security entitled “Secure Targeted Message Dissemination in IoT Using Blockchain Enabled Edge Computing” has been accepted and published in IEEE Transactions on Consumer Electronics [IEEE Xplore] [ResearchGate] [Codes]
• [January'23] Our latest work on 60 GHz millimeter wave beamforming for V2V communications entitled “Position Aware 60 GHz mmWave Beamforming for V2V Communications Utilizing Deep Learning” has been accepted to present in IEEE International Conference on Communications (IEEE ICC), 2024 [IEEE Xplore] [ResearchGate] [Codes]
• [October'23] Our latest work on millimeter wave communications in connected autonomy entitled “mmWave Enabled Connected Autonomous Vehicles: A Use Case with V2V Cooperative Perception” has been accepted and published in IEEE Network [IEEE Xplore] [ResearchGate]
• [August'22] Joined University of Massachusetts Dartmouth in Dept. of Electrical & Computer Engineering as a PhD student.

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