M.Sc. Electronic Engineering candidate at the University of Bologna working across neuromorphic AI, robotics, embedded systems, and digital hardware.
I enjoy turning research ideas into measurable engineering systems: spiking neural-network controllers in GPU-parallel simulation, TinyML models on microcontrollers, RISC-V accelerators, and transistor-level CMOS designs.
Integrated snnTorch policies with SKRL PPO for quadcopter control in NVIDIA Isaac Lab. The tuned SNN reached +14% peak reward over the matched MLP baseline, while a sparsity-aware variant used about 88% fewer spikes at comparable reward. Reward shaping reduced control jerk by 70%.
Python · PyTorch · snnTorch · SKRL · Isaac Lab · Reinforcement Learning
Built an obstacle-avoidance workflow around a Raspberry Pi Pico, range sensing, Q-learning-assisted data collection, and quantized TensorFlow Lite inference. The deployed model achieved 83.9% on-device accuracy.
Python · TensorFlow Lite · TinyML · Raspberry Pi Pico · Embedded AI
Designed a 384-cell SRAM macro in Cadence Virtuoso, including the bit cell, row/column decoders, write driver, and latch-type sense amplifier. Verified read/write behavior, static noise margin, delay, power, and physical layout.
Cadence Virtuoso · CMOS · Memory Design · Circuit Simulation · Layout
Designed and simulated a two-stage operational amplifier in 65 nm CMOS using the gm/Id methodology, transistor-level biasing, compensation, and layout-aware analysis.
Analog IC Design · Cadence Virtuoso · gm/Id · 65 nm CMOS
- Neuromorphic computing and energy-efficient AI
- Reinforcement learning for cyber-physical systems
- Embedded ML and edge deployment
- RISC-V microarchitecture and hardware acceleration
- Digital/analog IC design and verification
- M.Sc. Electronic Engineering (LM-29) — University of Bologna, 2025–present
- B.Sc. Nanotechnology and Nanoelectronics Engineering, VLSI concentration — Zewail City, 2020–2025
- Programming: Python, C, C++, MATLAB, Assembly
- Hardware: Verilog, SystemVerilog, RISC-V, FPGA/ASIC flows
- AI/Robotics: PyTorch, TensorFlow Lite, reinforcement learning, Isaac Lab
- EDA & simulation: Cadence Virtuoso, ModelSim, Silvaco TCAD, COMSOL, Lumerical, Ansys, Proteus