Neda Moghim

Driven by curiosity and strong work ethics, seeking opportunities at the intersection of artificial intelligence and next-generation wireless networks. With extensive academic and research experience across 5G/6G, semantic communication, IoT, and AI for cybersecurity and healthcare, bringing a versatile background in spectrum management, resource allocation, and digital twin–enabled systems. Recognized as a fast learner, adapting quickly to emerging technologies and fostering innovative solutions for building resilient, intelligent, and secure communication infrastructures.

Research Assistant Professor - Old Dominion University (ODU), Office of Enterprise Research and Innovation (OERI) - USA

(2023-01)

• Lead research on semantic communication, spectrum management, and digital twin–based healthcare monitoring.
• Developed adaptive IoT intrusion detection systems using LLMs and DRL.
• Advanced spectrum coexistence methods using graph neural networks for robust signal classification.
• Applied AI/ML to combat model drift in healthcare systems for improved reliability.

Associate Professor - University of Isfahan, Department of Computer Engineering - Iran

(2016-01 - 2022-12)

• Link Adaptation & Mobility Management: Designed DRL-based link adaptation, mobility-aware incentive mechanisms for D2D relaying, and contract-based schemes to enhance stability and energy efficiency.
• Computation & Offloading: Developed centralized delay-sensitive Fog-RAN offloading strategies and hierarchical task allocation methods.
• UAV & V2X Networks: Proposed UAV-assisted clustering and NOMA-based resource allocation to improve latency and spectral efficiency in C-V2X.
• Caching & Content Delivery: Created proactive caching frameworks using VAEs and user-preference-aware algorithms for IoT and edge networks.
• Energy Efficiency: Optimized resource allocation in HetNets via BS on/off switching and cell zooming; proposed PSO-based balancing for uplink/downlink efficiency.
• NOMA & ITS: Designed NOMA-based frameworks for ITS and WSNs to enhance spectrum and energy efficiency.
• Spectrum Sensing: Developed consensus-based cooperative sensing for CR-VANETs and trust-based multi-hop frameworks to mitigate SSDF attacks.
• Opportunistic Routing: Proposed QoS-aware, multi-rate, multicast, and reinforcement learning–based OR protocols improving throughput and scalability.
• Covert Channels: Built timing, storage, and hybrid covert channels (IEEE 802.11, VANET, MORE protocol) for high-throughput, robust hidden communication.

Assistant Professor - University of Isfahan, Department of Computer Engineering - Iran

(2011-09 - 2016-01)

Assistant Professor - Najafabad Islamic Azad University, Department of Electrical Engineering - Iran

(2010-09 - 2011-09)

• Applied game theory to optimize IEEE 802.11 CSMA for fairness and throughput.

Research Fellow - Isfahan University of Technology (IUT), Advanced Traffic Engineering Lab - Iran

(2010-02 - 2010-09)

• Investigated congestion management and resource allocation for improved traffic engineering.

Research Assistant - Isfahan University of Technology (IUT), Electrical & Computer Engineering Research Center - Iran

(1999-01 - 1999-12)

• Designed an FSK-based wireless data-link system with improved modulation/demodulation for robust transmission.

Ph.D.

• Electrical Engineering (Major: Communication systems) - Amirkabir University of Technology (2004-01 - 2009-12)

M.Sc.

• Electrical Engineering (Major: Communication systems) - Isfahan University of Technology (IUT) (1999-01 - 2002-12)

B.Sc.

• Electronic Engineering - Isfahan University of Technology (IUT) (1995-01 - 1999-12)