About

About Me

I am an electrical engineering student at UC Santa Cruz focused on hardware-centered systems: biosensing platforms, embedded navigation, lab automation, signal delivery, and state estimation. My concentration is Communications, Signals, Systems, and Controls. Most of my work ends up crossing circuits, firmware, fabrication, data, and whatever the bench decides to make difficult that day.

Portrait of Emre Soydemir

Background

I came into engineering through the practical side first: kits, circuits, small robots, and the satisfaction of changing something physical and seeing it respond. UCSC made that interest less cute and more useful. The objects got harder: biosensor chips, PCB layouts, IMU logs, cleanroom steps, CAD fixtures, deposition hardware, and estimators that have to be checked against something outside themselves.

The part I keep coming back to is the handoff. It is not enough for a thing to work once while I am standing next to it. A chip process needs notes. A board needs a bring-up path. A fixture needs to seal for someone else. If the next person has to reverse-engineer my intent, I did not really finish.

Engineering direction

I like engineering where the failure mode is visible enough to argue with. On TARAF, that means drift, stance detection, bad trials, and whether the IMU estimate matches a camera reference. In the lab, it means contacts, gasket pressure, chip handling, signal routing, and whether a result is actually measuring the thing we think it is.

Teaching fits that same instinct, but I do not want to inflate it into a mission statement. I grade and tutor because explaining a circuit or control problem makes the weak spots obvious. If I cannot explain the physical meaning without hiding behind notation, I probably do not understand it well enough yet.

Current work

TARAF

GPS-free pedestrian navigation using a foot-mounted IMU, ESKF/ZUPT/ZARU state estimation, side-profile ArUco validation, and offline optimizer tooling. My focus is the controls and ML side: drift correction, validation, and movement-aware tuning.

Yanik Lab

Biosensing hardware and workflow support: Ti/Au chip fabrication, cleanroom process, Opentrons-adjacent assay work, signal-delivery electronics, optical inspection, and electrochemical deposition/sensing interfaces.

Teaching

Grader for ECE 135 and group tutor for ECE 130/230. The useful part is concrete: work through the circuit, control, or signal problem until the symbols point back to the system instead of floating away from it.

Technical areas

Hardware & Fabrication

PCB design (KiCad) Photolithography E-beam evaporation Plasma cleaning Lift-off Ti/Au thin-film chips Cleanroom process

Embedded Systems

ESP32 BNO055 IMU I2C / SPI Sensor calibration Firmware in C

Signal & Estimation

Low-pass filtering ZUPT / ZARU ESKF Quaternion math Stride detection LQR / LQG State estimation

Software & Data

Python MATLAB OpenCV ArUco tracking scikit-learn Random Forest / SVM Jupyter Git

Lab & Automation

Opentrons OT-2 555-timer signal generation Automated assay workflows Electrochemical multiplexing EmStat Pico

Teaching & Pedagogy

ECE 135 grading ECE 130/230 group tutoring Concept-first explanations Problem-session support Engineering education