Dr. Muhammad Ali Siddiqi holds a PhD from Erasmus University Medical Center (Erasmus MC) in Rotterdam, the Netherlands, where his research focused on critical areas of security and privacy pertaining to Implantable Medical Devices (IMDs). He received his B.E. degree in Electrical Engineering from the National University of Sciences and Technology, Islamabad, Pakistan, in 2009 with the prestigious Presidential Gold Medal. As an Erasmus Mundus Scholar, he completed a joint M.Sc. degree in Embedded Computing Systems from the Norwegian University of Science and Technology (NTNU), Trondheim, Norway, and the University of Southampton, UK, in 2012.

Following the completion of his doctorate, he worked as a postdoctoral researcher for two years at the Quantum and Computer Engineering (QCE) department of the Delft University of Technology (TU Delft), the Netherlands. During this tenure, he focused on in-memory computing architectures for lightweight cryptography, next-generation neural implants, and hardware-based brain simulations, employing emerging device technologies like Resistive Random Access Memory (RRAM).

From 2012 to 2017, he served as a Design Engineer at Silicon Labs Norway, specializing in ultra-low-power MCU design. Notably, his designed IPs, including the Cryotimer and Protimer, are integral components of the EFM32 and EFR32 32-bit microcontrollers. Before pursuing his master's studies, he dedicated one year as a Research Assistant at LUMS' Computer Science Department, with a particular focus on low-power embedded systems.

Dr. Siddiqi's research interests encompass low-power hardware design, in-memory computing, memristor-based brain simulations, and the security of IMDs and Medical Body Area Networks (MBANs).

Title Publication Author Year
SDK4ED: a platform for building energy efficient, dependable, and maintainable embedded software Automated Software Engineering 2024
NeuroDots: From Single-Target to Brain-Network Modulation: Why and What Is Needed? Neuromodulation 2024
A Lightweight Architecture for Real-Time Neuronal-Spike Classification Proceedings of the 21st ACM International Conference on Computing Frontiers, CF 2024 2024
SECURED for Health: Scaling Up Privacy to Enable the Integration of the European Health Data Space Proceedings -Design, Automation and Test in Europe, DATE 2024
Memristor-Based Lightweight Encryption Proceedings - 2023 26th Euromicro Conference on Digital System Design, DSD 2023 2023
Improving the Security of the IEEE 802.15.6 Standard for Medical BANs IEEE Access 2022
Zero-Power Defense Done Right: Shielding IMDs from Battery-Depletion Attacks Journal of Signal Processing Systems 2021
Adding security to implantable medical devices: Can we afford it? International Conference on Embedded Wireless Systems and Networks 2021
Securing Implantable Medical Devices Using Ultrasound Waves IEEE Access 2021
IMDfence: Architecting a Secure Protocol for Implantable Medical Devices IEEE Access 2020
POSTER: IMD Security vs. Energy: Are we tilting at windmills?. ACM International Conference on Computing Frontiers 2019, CF 2019 - Proceedings 2019
Towards Realistic Battery-DoS Protection of implantable medical devices ACM International Conference on Computing Frontiers 2019, CF 2019 - Proceedings 2019
Teaching and research in FPGA based digital signal processing using Xilinx system generator ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 2012
Design and FPGA implementation of a 2<sup>nd</sup> order Adaptive Delta Sigma modulator with one bit quantization Proceedings - 2010 International Conference on Field Programmable Logic and Applications, FPL 2010 2010
FPGA-based implementation of efficient sample rate conversion for software defined radios Proceedings - 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010 2010