Quantum Networks  ·  Wireless Security  ·  Embedded Systems

Moh Kashani

Ph.D., Computer Engineering  ·  Quantum Network Research Assistant
University of Wisconsin–Madison

I build secure, intelligent communication systems — from AI-driven RF fingerprinting and 5G wireless security to real-time quantum network control and embedded testbeds. My work bridges classical and quantum architectures to enable resilient, high-performance networks.

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Ph.D. CE  ·  Iowa State  ·  2025 M.S. Physics/QC  ·  UW–Madison  ·  exp. 2026 M.S. CE  ·  Iowa State  ·  2024 B.S. EE  ·  AUT  ·  2019
Moh Kashani

Professional History

Experience

Quantum Network Research Assistant
University of Wisconsin–Madison, Department of Physics  ·  Madison, WI
Advisor: Prof. Mark Saffman  ·  SNAQ Experiment
2025 – Present
  • Designing and implementing real-time control systems for quantum computer and network experiments.
  • Programming ARTIQ (Advanced Real-Time Infrastructure for Quantum Physics) boards for precise timing and deterministic control of qubits and photonic signals.
  • Developing custom FPGA circuits and gateway extensions using Migen and MiSoC, tailored for distributed quantum networking applications.
  • Integrating PostgreSQL databases and Grafana dashboards to visualize and analyze quantum experiment telemetry and IoT sensor data.
  • Collaborating with experimental physicists to design synchronization protocols across quantum nodes; contributing to the lab's quantum network testbed focused on timing precision and fault tolerance.
Quantum computing lab at UW-Madison
Wireless Security Graduate Research Assistant
Iowa State University, Department of ECE  ·  Ames, IA
Advisor: Prof. Ashfaq Khokhar  ·  Co-Advisor: Prof. Sang Kim
2019 – 2025
  • Designed, collected, and analyzed large-scale RF datasets in an anechoic chamber using USRP X310 for ML-driven RF fingerprinting.
  • Developed and implemented SuperImposing code on 2-FSK wireless communication on USRP SDR platforms.
  • Created and trained complex-valued CNN and real-valued CNN models for robust RF fingerprinting and anomaly detection.
  • Implemented custom MAC and IP layers in embedded systems (ESP32, Raspberry Pi Pico) for secure wireless communication.
  • Developed integrity check protocols enhancing security for healthcare sensors using IEEE 802.15.6 and BLE standards.
Wireless security research lab at Iowa State University
Robotics & Control — Senior Design Project
AmirKabir University of Technology, ECE Department  ·  Tehran, Iran
Advisor: Prof. HeydarAli Talebi  ·  Co-Advisor: Dr. Iman Sharifi
2018 – 2019
  • Led a multi-agent autonomous vehicle platooning project using C for embedded control systems — awarded 2nd Best Senior Design Project.
  • Designed and built three custom robot cars with digital control systems enabling real-time coordination and response across autonomous agents.
  • Applied machine learning to enhance robot navigation and decision-making processes.
Multi-agent robot cars senior design project
Software & Automation Engineer Intern
Corteva Agriscience  ·  Johnston, IA
Supervisor: Joe Hynek
Jan – Dec 2023
  • Developed PCB boards for RFID-based seed tracking, selected matching antennas, and tested wireless reading range and optimized placement for a $700K+ project.
  • Implemented MicroPython scripts and optimized embedded software for reliable, low-latency data handling across 350+ deployed boards.
  • Worked in an agile cross-functional team, iterating rapidly to incorporate feedback from hardware, software, and data science teams.
Corteva Agriscience internship
Teaching Assistant — Logic Circuits & Introduction to C
Iowa State University, ECE Department  ·  Ames, IA
Supervisors: Prof. Alexander Stoytchev  ·  Prof. Thomas Daniels
2019 – 2022
Course Page — CprE 281 Fall 2019
Teaching Assistant — Computer Architecture & Digital Control
AmirKabir University of Technology, ECE Department  ·  Tehran, Iran
Supervisors: Prof. HeydarAli Talebi  ·  Prof. Abolghasem Asadollah Raie
Jan – May 2019

In the News

Media & Open Data

Moh Kashani working to safeguard medical devices
Media Coverage  ·  ISU College of Engineering
Moh Kashani working to safeguard medical devices
Featured in Iowa State University's College of Engineering news — highlighting research on securing wearable medical devices against wireless signal attacks using AI-driven detection.
Read article
IEEE DataPort
Open Dataset  ·  IEEE DataPort
BLE-WBAN RF Real-World Dataset
Co-authored and publicly released a dataset capturing real-world RF signals from BLE devices in human-centric healthcare environments — available on IEEE DataPort for the research community.
Access dataset

Focus Areas

Research Interests

⚛️

Quantum Networks

Real-time control systems for quantum computers, FPGA-based qubit and photonic signal control using ARTIQ and Migen, distributed quantum network testbeds, and timing synchronization across quantum nodes.

📡

RF Fingerprinting & Wireless Security

AI-driven RF fingerprinting using complex-valued CNNs, large-scale RF dataset collection on SDR platforms (USRP B210/X310), waveform classification, and anomaly detection for 5G and WBAN security.

🔐

Secure Communication Protocols

Channel-based authentication for body sensor networks, message authentication codes in lossy channels, integrity checks for healthcare devices (IEEE 802.15.6, BLE), and custom MAC/IP layer design.

🧠

Deep Learning for Signal Processing

Complex-valued CNN architectures, adversarial signal defense, real-time anomaly detection, superposition coding on 2-FSK, and large-scale RF dataset design, collection, and validation.

🔧

Embedded Systems & IoT

Bare-metal firmware on ESP32 and Raspberry Pi Pico, PCB design, low-latency real-time data processing, and custom communication stacks for industrial and medical IoT deployments.

🔭

Quantum-Classical Integration

Bridging classical networking with quantum architectures for scalable, fault-tolerant communication layers; telemetry monitoring with PostgreSQL and Grafana for quantum experiment infrastructure.

Technical Expertise

Skills

Programming

C / C++ Python MATLAB GNU Radio MicroPython CMake

Machine Learning

TensorFlow PyTorch Scikit-learn Complex-valued CNN AutoEncoder Anomaly Detection

Wireless & SDR

USRP B210/X310 BLE / IEEE 802.15.6 5G Protocols RF Fingerprinting Signal Processing Channel Modeling

Quantum & FPGA

ARTIQ Migen MiSoC FPGA Design Qubit Control Photonic Timing

Embedded & Hardware

ESP32 Raspberry Pi Pico PCB Design (KiCad) Bare-Metal MCU I2C / SPI / BLE Fusion 360

Tools & Infrastructure

PostgreSQL MongoDB Grafana AWS Git Linux

Academic Work

Publications

7 publications  ·  IEEE & NDSS venues View on Google Scholar
7
Securing Relay Satellite System: Direct MAC Transmission by Superposition Coding
SeyedMohammad Kashani, Branden Buhler, Sang Wu Kim, Ashfaq Khokhar
NDSS SpaceSec 2026 PDF Video Code
Secure Wireless Relay satellite system diagram
6
OptiMAC: Adaptive Security Optimization for Message Authentication Code in Adversarial Environment
S. Kashani, E. Khademnia, Görkem, Y. Dong, T. Wu, Sang Wu Kim, A. Khokhar, F. Nait-Abdesselam, S. Hussain
IEEE DSN 2026 Code
OptiMAC results figure
5
Two-Dimensional Compound Message Authentication Code in Lossy Channels
SeyedMohammad Kashani, Sung-Woo Kim, Ashfaq Khokhar
IEEE ICC 2025 Video Code
4
Enhancing NextG Wireless Security: A Lightweight Secret Sharing Scheme with Robust Integrity Check for Military Communications
Abhisek Kumar Jha, SeyedMohammad Kashani, Hossein Mohammadi, Andre Kirchner, Minglong Zhang, Remi A. Chou, Sang Wu Kim, Hyuck Kwon, Vuk Marojevic, Taejoon Kim
IEEE MICOM 2024
3
Radio Frequency Fingerprinting in WBANs Using Complex-Valued CNNs
SeyedMohammad Kashani, Syed Sherazi, Ashfaq Khokhar, Sung-Woo Kim, Fethi Nait-Abdesselam
IEEE IWCMC 2024
Complex-Valued CNN model architecture
2
Bluetooth Low Energy (BLE) RF Dataset for Machine Learning in WBANs
SeyedMohammad Kashani, Syed Sherazi, Ashfaq Khokhar, et al.
IEEE WCNC 2024 Video Code Slides
1
A Channel-Based Authentication Using Machine Learning for Body Sensor Networks
SeyedMohammad Kashani, Syed Sherazi, Ashfaq Khokhar, et al.
IEEE GlobeCom 2022

Recognition

Honors & Awards

🏛️
National Science Foundation — NeTS Early Career Investigation Workshop
Presented AI-based anomaly detection for secure wireless communication  ·  2024
NSF NeTS Early Career Investigation Workshop
🏆
Best Graduate Seminar Presentation Award
"Radio Frequency Fingerprinting in Wireless Body Area Networks"  ·  Iowa State University  ·  2024
Best Graduate Seminar Presentation Award certificate
🎓
Ranked 1st in Class
B.S. Electrical Engineering  ·  AmirKabir University of Technology  ·  2019
🥈
Second-Best Senior Design Project Award
"Multi-Agent Autonomous Vehicle System"  ·  AmirKabir University of Technology  ·  2019

Slides & Talks

Talks & Presentations

🎓
Ph.D. Final Oral Defense
Iowa State University  ·  2025
Dissertation defense covering wireless security, RF fingerprinting, WBAN authentication, and integrity check protocols.
View Slides
📡
Post-Quantum SIM-Less Authentication
IEEE MILCOM 2025
Presentation on post-quantum authentication schemes for next-generation military and secure wireless communications.
View Slides
📶
BLE-WBAN RF Dataset for Machine Learning
IEEE WCNC 2024
Presentation on the publicly released BLE-WBAN real-world RF dataset captured from BLE devices in healthcare environments for ML-based fingerprinting and anomaly detection.
View Slides
⚛️
BB84 Quantum Key Distribution Protocol
Quantum Computing  ·  University of Wisconsin–Madison
Presentation explaining the BB84 quantum key distribution protocol — the foundation of quantum cryptography and secure quantum communication.
View Slides

Get in Touch

Contact

I'm open to research collaborations, industry consulting, and academic discussions around wireless security, quantum networks, embedded systems, and applied machine learning. Feel free to reach out through any of the channels below.

mkashani.phd@gmail.com
github.com/mkashani-phd
linkedin.com/in/mkashani-phd
Google Scholar