EXPERIMENT / 01
Electrical engineering · Penn State
Ideas into
circuits.
Circuits into
motion.
I'm Adim, an electrical engineering student at Penn State University Park and Controls Co-op at Rolls-Royce. I build robots, embedded systems, and hardware neural networks—exploring how physical circuits can compute and control the world around them.
FROM SIGNAL TO SYSTEM
HARDWARE MEETS INTELLIGENCEDRONE / NEURAL NETWORK
ROBOTICS & AUTONOMYEMBEDDED SYSTEMSNEURAL CIRCUIT RESEARCHDESIGN → BUILD → TEST
Inside the experiments
The work, in motion.
EXPERIMENT / 02
Neural Network Rover
EXPERIMENT / 03
Neural Circuit Research
EXPERIMENT / 04
Reinforcement Learning Results
Silent previews loop as you browse. Select “Watch full” for the complete video with sound controls.
01 / Selected work
Built through exploration.
2024 — PRESENT
In chronological order
Custom Drone &
Genetic Algorithm
DEC 21, 2024 — AUG 12, 2025An early exploration of custom drones and genetic algorithms, bringing physical engineering and computational experimentation into the same project.
Project focus — Custom drone development and exploration of genetic algorithms. This project began the progression toward more integrated robotics and control research.
Robotic Rover
OCT 20, 2025 — APR 26, 2026A ground robotics project in a broader effort to turn electrical and mechanical designs into working physical systems.
Project focus — Building a robotic rover, connecting practical hardware development with an ongoing interest in autonomous machines.
Neural Circuit
Architectures
JUN 03, 2026 — AUG 30, 2026Investigated how converging, diverging, parallel after-discharge, and reverberating circuits operate together. The work informed a computational model for custom control systems.
Research question — How can individual neural frequencies and circuit architectures combine to perform useful mathematical computations?
Observed behavior — Frequency division was experimentally demonstrated as one property of the circuits. The broader study explored how multiple circuit structures could work together.
Outcome — Developed a computational model intended to support the design of custom control systems.
Watch experimental clips ↗Neural-Controlled
Drone
AUG 22, 2026 — PRESENTBringing hardware neural circuits into a drone control platform, connecting distance sensing, embedded communication, and flight control.
System direction — Integrating a custom quadcopter platform with distance sensors, ESP32 communication, and frequency-based neural control signals.
Current stage — Hardware and control development. Flight validation remains a separate testing milestone.
02 / Behind the buildsCuriosity, with a
Curiosity, with a
hardware bias.
I'm an electrical engineering student at Penn State with a particular interest in robotics, embedded intelligence, and computation in physical circuits. I enjoy the full path from an idea to a system I can put on the bench and test.
Hardware & systems
Neural circuits · PCB design
Robotics · Sensors · ESP32
Software & control
C++ · Python · Linux
Embedded communication · Control systems
Industry experience
Rolls-Royce Defense · Controls Co-op
Experience in controls and simulation across co-op rotations.
More systems to build.
More questions to test.
My interests sit at the intersection of robotics, embedded systems, and neural hardware. Explore the experiments and prototypes behind the work.
See the experiments in motion ↗