CV

Profile

Full Name Khandaker Foysal Haque
Research Areas Intelligent wireless systems, integrated sensing and communication, learning-driven MIMO networks, wireless sensing, and edge computing
Research Platforms Wi-Fi, mmWave, and sub-THz systems
Publications 30+ peer-reviewed publications in venues including IEEE INFOCOM, ACM MobiHoc, ACM MobiCom Workshops, IEEE WoWMoM, IEEE TIFS, IEEE Communications Magazine, Computer Networks, IEEE Wireless Communications Letters, and IEEE Sensors Letters
Profiles

Education

  • 2021–2026

    Massachusetts, USA

    Ph.D. in Computer Engineering
    Northeastern University
    • Dissertation: Domain-Adaptive Learning-Driven Intelligent Wireless Systems for Sensing and Edge Computing
    • Advisor: Prof. Francesco Restuccia
    • Research: integrated sensing across sub-6 GHz, mmWave, and sub-THz; learning-driven MIMO; sensing-assisted edge computing; and secure covert MIMO systems
    • GPA: 3.75/4.00
  • 2019–2021

    Michigan, USA

    M.Sc. in Computer Engineering
    Central Michigan University
    • Concentration: Internet of Things and Machine Learning
    • Thesis: LoRa Architecture for V2X Communication—An Experimental Evaluation with Vehicles on the Move
    • Advisors: Prof. Ahmed Abdelgawad and Prof. Kumar Yelamarthi
    • GPA: 4.00/4.00
  • 2012–2016

    Bangladesh

    B.Sc. in Electrical and Electronic Engineering
    Islamic University of Technology
    • Concentration: Radio-frequency and wireless communication
    • Thesis: Evaluation and Design of Routing Protocols for Underwater Delay-Tolerant Networks
    • Advisor: Prof. Habibul Kabir
    • GPA: 3.52/4.00

Research Experience

  • 2021–2026

    Massachusetts, USA

    Graduate Research Assistant
    Department of Electrical and Computer Engineering, Northeastern University
    • Developed standard-compliant Wi-Fi beamforming-feedback sensing, simultaneous multi-subject sensing, and domain-adaptive sensing frameworks.
    • Designed communication-native ISAC systems at 58 GHz mmWave and 130 GHz sub-THz frequencies.
    • Developed learning-based multi-band CFR fusion, multipath estimation, MIMO feedback analysis, and adaptive channel sounding.
    • Designed sensing-assisted, semantic MU-MIMO, and physical-layer approaches for low-latency wireless edge computing.
    • Developed neural radio fingerprinting with compressed MIMO feedback.
    • Built Wi-BFI, the m3MIMO testbed, WiSEC, and a real-time MU-MIMO Wi-Fi edge-computing testbed.
  • 2024–2025

    Maryland, USA

    NSF INTERN Research Collaboration
    DEVCOM Army Research Laboratory
    • Advanced the design and implementation of energy-efficient, multi-modal covert communication and routing frameworks.
  • 2024

    Maryland, USA

    Research Intern
    DEVCOM Army Research Laboratory, Network Cyber & Computational Sciences Division
    • Developed simultaneous multi-modal covert routing mechanisms.
    • Investigated energy efficiency and communication-overhead reduction in heterogeneous covert networks.
  • 2019–2021

    Michigan, USA

    Graduate Researcher
    Central Michigan University
    • Designed V2X communication architectures using LoRa, Zigbee, and Bluetooth Low Energy.
    • Developed cyber-physical systems for smart-city applications.
  • 2020

    Michigan, USA

    Collaborative Research Experiences for Teachers Program
    Central Michigan University
    • Led the RET team in developing an onboard vehicular testbed.
  • 2016

    Bangladesh

    Undergraduate Researcher
    Islamic University of Technology
    • Designed and evaluated routing protocols for underwater wireless communication.

Teaching and Professional Experience

  • 2019–2021

    Michigan, USA

    Graduate Teaching Assistant
    College of Engineering, Central Michigan University
    • Courses: Digital Circuits, Communication Systems, Wireless Sensor Networks, Microelectronic Circuits, and Microprocessor Fundamentals
  • 2017–2019

    Bangladesh

    Lecturer
    European University of Bangladesh
    • Courses: Electrical Machines I and II, Microprocessor and Embedded Systems
  • 2015

    Bangladesh

    Industrial Intern
    Bangladesh Power Development Board
  • 2015

    Bangladesh

    Industrial Intern
    Bangladesh Atomic Energy Commission
  • 2015–2016

    Bangladesh

    Industrial Intern
    Bangladesh Telecommunications Company Limited

Selected Systems and Open-Source Tools

  • Wi-BFI
    • Open-source tool for extracting IEEE 802.11 beamforming feedback information from commercial Wi-Fi devices.
    • Source code
  • m3MIMO
    • Fully digital 8 × 8 mmWave MU-MIMO testbed for communication and sensing research.
    • Source code
  • WiSEC
    • Modular multi-band, multi-antenna Wi-Fi testbed with 18 independently configurable network interface cards.
  • BANDWEAVE
    • Learning-based multi-band CFR fusion for enhanced MIMO channel estimation.
    • Source code
  • SAWEC
    • Sensing-assisted wireless edge-computing framework for selective visual-data offloading.
    • Source code

Technical Skills

Programming Python, C, C++, Assembly, HTML, and SQL
Wireless and Hardware Software-defined radios, wireless and edge-computing testbeds, single-board computers, and the Colosseum wireless network emulator
Software MATLAB, Simulink, GNU Radio, NS-3, OMNeT++, Cooja, X-CTU, PSpice, Proteus, Atoll, Microwind, AutoCAD, NetLogo, Cadence, and HOMER

Patents and Invention Disclosures

  • 2026
    Method for Joint Multipath Parameter Estimation in MIMO Networks
    • Northeastern University invention disclosure INV-26164; approved April 2026 (provisional).
  • 2025
    BANDWEAVE: Enhanced Channel Estimation in MIMO Networks with Multi-Band Fusion
    • U.S. Provisional Patent Application 63/859,745.
  • 2025
    PhyDNNs: Bringing Deep Neural Networks to the Physical Layer
    • U.S. Provisional Patent Application 19/183,466 (pending).
  • 2024
    SHRINK: Dynamic Data-Driven Channel Sounding for Reduced MIMO Feedback Overhead in Wi-Fi
    • U.S. Provisional Patent Application 63/735,833 (pending).
  • 2024
    SAWEC: Sensing-Assisted Wireless Edge Computing
    • U.S. Patent Application 18/917,687 (pending).
  • 2023
    Method and Apparatus for Wi-Fi Sensing Through MU-MIMO Beamforming Feedback Learning
    • U.S. Patent Application PCT/US23/31651 (pending).
  • 2023
    Simultaneous Multi-Subject Activity Classification Through Wi-Fi Signals
    • U.S. Patent Application 18/489,570 (pending).

Honors, Awards, and Grants

  • 2026
    • Best Paper Award, IEEE INFOCOM, for BANDWEAVE.
    • INSI/Qualcomm Travel Grant ($1,500) for presenting BANDWEAVE at IEEE INFOCOM.
  • 2020
    • Best Paper Award, IEEE iSES, for “A LoRa-Based Reliable and Low-Power V2X Communication Architecture.”
    • Graduate Research and Creative Endeavors Grant ($1,600) for D2D-based V2X communication with LoRa.
    • College of Science and Engineering conference-support grants, Central Michigan University.

Student Mentorship

  • Mentored undergraduate and M.S. students at Northeastern University on Wi-Fi sensing, MU-MIMO systems, and wireless edge computing.
  • Supervised undergraduate researchers at Central Michigan University on IoT, V2X communication, and embedded-system projects.
  • Mentored external undergraduate and M.S.-level students in wireless sensing and machine learning for communication systems.

Professional Service

  • Technical Program Committees
    • IEEE SECON 2026
    • IEEE MASS 2025
    • IEEE ICMI 2025
  • Journal Reviewing
    • Computer Networks
    • IEEE Transactions on Mobile Computing
    • IEEE Internet of Things Journal
    • IEEE Transactions on Cognitive Communications and Networking
    • IEEE Wireless Communications Letters
    • IEEE Journal of Selected Topics in Signal Processing
    • International Journal of Computer and Telecommunications Networking
    • MDPI Sensors
  • Conference Reviewing
    • IEEE IWQoS, WCNC, ICC, WoWMoM, SmartComp, SECON, WONS, PIMRC, LCN, MILCOM, and GLOBECOM