Amir Sajjadi — Originator & Sponsor, UCI MAE Senior Design Pipeline

From breadboard
to built.

Originator & sponsor. Utmost Connect works closely with academic institutions to sponsor applied engineering programs — originating each of these concepts, funding and directing their technical development, and building working prototypes alongside student engineering teams at UC Irvine's Mechanical & Aerospace Engineering senior-design program. These are prototypes in active development, not closed coursework: every project here has advanced to a funding pitch, and Home Lock took first place at its UCI design showcase.

01

Home Lock Management System

A clip-on sensor that tells you whether the door is actually locked.

TeamBEND-CL MechTechs — Criss Azer, Brady Muramoto, Edward Leija, Neil Hoffman, Lucas Lin, Daniel Stoll

Academic year2023–2024

Officialprojects.eng.uci.edu ↗

🏆 1st place, UCI showcase
The product, from the team's own investor pitch — sensor mounted flush on a display door block.
The product, from the team's own investor pitch — sensor mounted flush on a display door block.
Problem

Most homes have no reliable answer to “is the door actually locked?” Commercial smart locks solve it by replacing the whole deadbolt — $100–350+, a visible aesthetic change, and no coverage for windows at all. My concept: a cheap, invisible add-on that reports lock state on doors and windows without touching the existing hardware — funded and technically directed through my company, built with the student team below.

Solution

A small sensor clips onto the deadbolt's slide bolt (or a window's sash) and reads position with a reed switch and magnet — no rekeying, no visible hardware change. It reports locked or unlocked over Wi-Fi in real time to a phone.

Technical approach
  • Electronics shrank across the project — from a full STM32 Nucleo dev board down to a coin-cell-sized ESP32-C3 for the final MVP.
  • Firmware watches a reed switch on a pull-up pin and publishes a locked/unlocked event over MQTT the instant the state changes.
  • A parallel reed-switch sensor was built for windows, extending the same approach to whole-entry monitoring — the gap the team's competitive teardown (August, SimpliSafe, Ring, Nest, and Saratech's own smart-sensor line) found no one else covered well.
  • Housing went through five SolidWorks revisions (V1–V5), refining battery compartment, hinge, and thumbturn clearance for a clean non-invasive retrofit.
Results & validation
  • Door-to-phone latency verified live — a state change on the deadbolt reaches the app in about a second (Fig. 06; Clip 01 for the bench bring-up).
  • Modeled at $13.93 per unit against $100–350 for commercial smart locks; per-unit material cost fell from $9 (V1) to $3 (V3) as the design matured across three prototype generations.
  • Business case explored a B2B path — partnering with door manufacturers (e.g. Marvin Doors) to embed the sensor at the factory, rather than selling direct to consumers.
  • Took first place at its UCI design showcase, then went on to a full investor pitch — the path from student prototype to funding conversation, not just a class deliverable.
  • That path got real traction, not just a slide: Styline Windows & Doors reviewed the prototype in person and expressed interest in participating, alongside early conversations with an outside investor.
More from this project
CLIP 01Bench bring-up, in motion — reed-switch trigger and LED indicator tested live on a logic analyzer.
The final prototype — hinged lid for battery access, gold-plated contacts, PCB inside.
FIG. 01The final prototype — hinged lid for battery access, gold-plated contacts, PCB inside.
The companion web app — live lock status for two sensors, from the team's own pitch deck.
FIG. 02The companion web app — live lock status for two sensors, from the team's own pitch deck.
Packaging concept, branded HLM — the team explored this as a real consumer product.
FIG. 03Packaging concept, branded HLM — the team explored this as a real consumer product.
An earlier design variant — PCB, reed switch, and battery sealed inside an oval shell.
FIG. 04An earlier design variant — PCB, reed switch, and battery sealed inside an oval shell.
Engineering drawing of the housing unit.
FIG. 05Engineering drawing of the housing unit.
Live field test — an unlock event arriving over MQTT in real time.
FIG. 06Live field test — an unlock event arriving over MQTT in real time.
02

Autonomous Fire Extinguishing System

It finds the fire, aims, and puts itself out — no one has to pull a trigger.

TeamTeam 3, “Fire Fight Club” — Matthew Keith, Christopher Tran, Yuqi Hu, Chris Rami Makarem, Benson Yu

Academic year2024–2025

Officialprojects.eng.uci.edu ↗

Live-fire tested
Real time, real fire — the turret (top left) standing over a live test flame until it's out. A bystander's face is blurred.
Problem

A small fire can outrun a person's reaction time. I framed the alternative directly against traditional sprinkler systems — pricey, slow-responding, and hard to install — and directed the team to build a ceiling-mounted system that finds a fire's exact location on its own, aims at it, and suppresses it within 10 seconds of detection (an early pitch-deck target had been 30s), built against NFPA 750 (water-mist fire suppression).

Solution

A ceiling-mounted pod (≈10 ft coverage radius) reads the room with a thermal camera, drives a two-axis servo gimbal onto the hottest point above a fire threshold, and opens a solenoid valve to release a pressurized water mist once it's centered.

Technical approach
  • Targeting logic centers the gimbal on the hottest pixel in the thermal frame once it crosses 50°C, then holds and fires.
  • Live telemetry — temperature, fluid level, battery — streams over BLE to a companion app.
  • The mechanical arm and nozzle went through three design generations across 87 CAD files before the final geometry; formal engineering test procedures target extinguishing a contained fire in under 5 seconds at ranges from 2 to 10 feet.
  • A dedicated wiring diagram (Fig. 04) documents the full electronics build: dual servos, relay, solenoid, and battery-level sensing on an LM339 comparator.
Results & validation
  • Project log records the system successfully putting out a live test fire on 1/29 — the video above is that test — ahead of that day's Critical Design Review.
  • Finalized prototype completed 3/19 after a pass on space efficiency and a full mechanical drawing package.
  • Full bill of materials came to $334.05 across 26 line items; a fabrication guide and safety/operation manual were written for repeatable builds.
  • Pitched under their own brand, Fire-Fight Club, with the funding case resting on three points: inexpensive and easy to install, autonomous rather than manually triggered, and app-monitored end to end.
More from this project
CLIP 02Live BLE telemetry during a run — temperature, fluid, and battery draining in real time.
Design objective tree translating the brief into engineering requirements.
FIG. 01Design objective tree translating the brief into engineering requirements.
The complete assembly, from the team's own Critical Design Review — extinguishing canister, tubing, and the targeting gimbal.
FIG. 02The complete assembly, from the team's own Critical Design Review — extinguishing canister, tubing, and the targeting gimbal.
The bench prototype — gimbal head, thermal camera, and breadboard electronics.
FIG. 03The bench prototype — gimbal head, thermal camera, and breadboard electronics.
Electronics build: thermal camera, dual-servo gimbal, relay-driven solenoid.
FIG. 04Electronics build: thermal camera, dual-servo gimbal, relay-driven solenoid.
Labeled exploded assembly — every part from mounting plate to extinguishing container.
FIG. 05Labeled exploded assembly — every part from mounting plate to extinguishing container.
Project log entry — live-fire test, 1/29.
FIG. 06Project log entry — live-fire test, 1/29.
Fire-Fight Club — the team's own brand for their investor pitch.
FIG. 07Fire-Fight Club — the team's own brand for their investor pitch.
03

SmartSweat — Wearable Lactate Biosensor

The electronics worked. The chemistry didn't survive shipping — here's why.

TeamTeam SmartSweat — Agustin Gutierrez, Luke Hsing, Tanya Nguyen, Eileen Hom

Academic year2025–2026

Officialprojects.eng.uci.edu ↗

Electronics verified · chemistry failed
The finished sensor, worn for a real test — electrode band on the arm, leads run down to the potentiostat.
The finished sensor, worn for a real test — electrode band on the arm, leads run down to the potentiostat.
Problem

Coaches want a read on an athlete's exertion in real time, but the standard method means drawing blood and running it through a lab analyzer. The sponsor asked for a non-invasive alternative: a patch that reads lactate straight from sweat.

Solution

A wearable patch worn against the skin measures lactate in sweat through a custom potentiostat and an enzyme-functionalized membrane — built and calibrated from the electronics up, on an 18-week timeline compressed to about 10 working weeks after a delayed project approval.

Technical approach
  • The potentiostat was validated against known hydrogen-peroxide concentrations first, bypassing the enzyme layer to confirm the electronics before trusting the chemistry.
  • The enzyme membrane is hand-manufactured over a multi-day chemical process, cast onto graphite electrodes and air-dried.
  • Housing iterated through a watchband-integrated capsule and a compact waistband module, wear-tested for stability, fit, and comfort.
  • Requirements traceability was tracked line-by-line against pass/fail criteria — the team's own discipline is what surfaces the honest result below.
  • The research phase weighed alternatives before committing to lactate — body-odor profiling and cortisol sensing were both evaluated and set aside in favor of a sweat-lactate approach.
Results & validation
  • Electronics and mechanical subsystems passed verification outright: stable output over a full hour of simulated exercise use, independent battery operation, and a housing that stayed put and stayed comfortable through wear-testing.
  • The lactate-sensing chemistry did not survive the supply chain: the enzyme sat at room temperature for 3 days in university purchasing before the team could refrigerate it, most likely denaturing it and leaving the electrode layer unable to selectively detect lactate — 3 of 4 chemistry requirements are logged as failed in the team's own traceability matrix.
  • Root cause, cost, and schedule impact were all documented rather than glossed over: BOM landed at $632 against a $400 budget (a same-part replacement enzyme alone would have added $216 and another week of lead time), which the team's own retro ties directly to the compressed timeline.
  • Benchmarked against every commercial lactate sensor on the market (Onasport, Pinnacle, Zimmerman Peacock, and others) to confirm the price/performance gap this device is meant to fill, and pitched for continued funding on that basis — the enzyme fix is the next item in the pipeline, not a dead end.
More from this project
CLIP 01The athletic field test in motion — pedaling while the rig logs data live to a laptop.
A finished electrode, fresh out of the membrane manufacturing process.
FIG. 01A finished electrode, fresh out of the membrane manufacturing process.
Potentiostat circuit — transimpedance stage feeding the 3-electrode cell.
FIG. 02Potentiostat circuit — transimpedance stage feeding the 3-electrode cell.
The potentiostat build — 3-electrode leads (RE/CE/WE) into the Arduino Nano shield.
FIG. 03The potentiostat build — 3-electrode leads (RE/CE/WE) into the Arduino Nano shield.
Casting the enzyme membrane by hand, drop by drop, onto a 3D-printed electrode housing.
FIG. 04Casting the enzyme membrane by hand, drop by drop, onto a 3D-printed electrode housing.
Exploded view — electrode assembly and strap housing.
FIG. 05Exploded view — electrode assembly and strap housing.
04

EBBO+ E-Bike Battery Pack

Cooling airflow for a battery pack, proven with a thermometer, not just a simulation.

TeamTeam 13 — Christine Joy Angeles (Lead), Wen Wu (Product Design), Andrew Liu (QA), Wen-Kai Kevin Lee (Manufacturing) — advised by Mark Walter and David Copp, with UCI's Battery Lab

Academic year2023–2024

Officialprojects.eng.uci.edu ↗

Cooling verified: up to −0.48°C/min
The real pack, lid open — 18650 cells seated in their 3D-printed holder, mid-assembly on the bench.
The real pack, lid open — 18650 cells seated in their 3D-printed holder, mid-assembly on the bench.
Problem

E-bike packs cram dense lithium-ion cells into small enclosures with little airflow — a known thermal-runaway risk. The sponsor's brief was ambitious on purpose: something genuinely new in the category, not an incremental tweak, with a hard thermal ceiling of 40°C.

Solution

A redesigned 14s3p (42-cell) enclosure pairs a battery management system with active cooling airflow, sized and verified in CFD before a single part was cut — then proven again with a thermocouple against a fan-off control.

Technical approach
  • Airflow and fan placement were validated in Siemens StarCCM+ CFD before committing to a physical build.
  • A custom cell holder carries the 14s3p pack alongside the BMS and a DC-DC converter for auxiliary power, inside an enclosure that iterated through three generations — Prototype C integrates cell holder, BMS, and fan cooling path into one case, lid, and fan-lid assembly.
  • Safety envelope was set explicitly before testing began: 60A discharge ceiling, per-cell voltage window of 2.5–4.25V, and a hard 40°C thermal limit.
  • Validated in a real environmental test chamber, not just on a bench — the full pack was instrumented with thermocouples and run inside a controlled-temperature enclosure (Fig. 03).
Results & validation
  • Side-by-side proof-of-concept testing (see the chart below, and Clip 01 for the physical test) is the real evidence: with the fan off, pack temperature held flat near 50°C for 40+ minutes with no meaningful drop. With the fan on, temperature fell at an average of −0.39°C/min across trials — as fast as −0.48°C/min — pulling the pack down into the mid-30s°C, comfortably inside the 40°C ceiling.
  • One trial turned the fan off partway through and watched the pack start reheating immediately — the clearest possible confirmation that the cooling path, not ambient drift, is what's doing the work.
  • Delivered as a two-quarter (151A + 151B) capstone, with sponsor interviews, a pitch deck, and a poster presentation — pitched for continued funding to carry the pack past this prototype stage.
More from this project
CLIP 01The physical pack under test — probe thermometer readings taken live through the vents.
StarCCM+ CFD — velocity magnitude around a single cell, guiding fan and vent placement.
FIG. 01StarCCM+ CFD — velocity magnitude around a single cell, guiding fan and vent placement.
The final enclosure design — vented case, cell channel, and fan-lid mount, closed up.
FIG. 02The final enclosure design — vented case, cell channel, and fan-lid mount, closed up.
Instrumented and run inside a real environmental test chamber, not just on a bench.
FIG. 03Instrumented and run inside a real environmental test chamber, not just on a bench.
The finished, assembled pack — standing free, vents and power leads visible.
FIG. 04The finished, assembled pack — standing free, vents and power leads visible.
Bare cells and BMS wiring, shown against a ruler for scale.
FIG. 05Bare cells and BMS wiring, shown against a ruler for scale.
The physical build, closed — probe thermometer reading 40.5°C through the vents mid-test.
FIG. 06The physical build, closed — probe thermometer reading 40.5°C through the vents mid-test.
35° 40° 45° 50° 1m 10m 20m 30m 40m TIME SINCE CHARGE START Control (fan off) Exp. 2 (fan on, off@27) Exp. 3 (fan on)
FIG. 07Proof-of-concept thermal test — real thermocouple data, fan off vs. fan on (three trials).
Σ

Simulating Before Cutting Metal

CFD and thermal simulation work behind the EBBO+ battery pack — run in Siemens StarCCM+ and Ansys before a single part was fabricated.

From04 — EBBO+ E-Bike Battery Pack

Multiple cases modeled
Why simulate first

Before committing to an enclosure, the team modeled how heat actually moves through a 42-cell pack — with and without airflow. The spread between cases is the whole argument for active cooling: a sealed, natural-convection pack cooks itself past 200°C at the hotspot, while the same geometry with a fan-fed duct holds every cell under 55°C.

Two tools, two views

Ansys gave a full 3D temperature-and-streamline picture of airflow moving around individual cells (Sim. A/B); Siemens StarCCM+ was used for faster 2D cross-section sweeps to compare duct geometries before settling on the final case design (Sim. C/D). Both point the same direction, which is part of why the physical thermometer test later confirmed the same effect.

The simulation set
Case 1 — natural convection, no active cooling. Hotspots run past 200°C in this Ansys model, well into thermal-runaway territory.
SIM. ACase 1 — natural convection, no active cooling. Hotspots run past 200°C in this Ansys model, well into thermal-runaway territory.
Case 3 — forced convection with a wide outlet. The same pack, same cells, now holding under 55°C with airflow streamlines mapped cell by cell.
SIM. BCase 3 — forced convection with a wide outlet. The same pack, same cells, now holding under 55°C with airflow streamlines mapped cell by cell.
2D cross-section of the final 3×14 pack with no airflow duct — uniformly hot, no path for heat to leave.
SIM. C2D cross-section of the final 3×14 pack with no airflow duct — uniformly hot, no path for heat to leave.
The same cross-section with the fan-fed duct in place — cool intake air (dark blue) visibly displacing the hot zone.
SIM. DThe same cross-section with the fan-fed duct in place — cool intake air (dark blue) visibly displacing the hot zone.
The actual solver setup — coupled energy + flow, laminar, steady, 2D — not just a pretty picture.
SIM. EThe actual solver setup — coupled energy + flow, laminar, steady, 2D — not just a pretty picture.
Beyond the classroom

I also work with these tools professionally — through Saratech, a Siemens Simcenter partner. The four examples below are not from a UCI project or Saratech's own work; they're Siemens' own vendor case studies and product-capability material, included here (with credit) to show the professional-grade version of the same fluids/thermal problem the EBBO+ team tackled as students — a battery pack's cooling design carried all the way from molecular electrolyte chemistry up to full production hardware, and the same category of problem showing up again at gas-turbine scale.

Professional CFD — via Saratech (Siemens Simcenter), credited to Siemens
An EV battery pack's serpentine cooling-plate design — hot (red) and cold (blue) coolant paths mapped across the pack floor. Siemens Simcenter capability demo, not a Saratech or student project.
PRO. 1An EV battery pack's serpentine cooling-plate design — hot (red) and cold (blue) coolant paths mapped across the pack floor. Siemens Simcenter capability demo, not a Saratech or student project.
A full-scale gas-turbine cutaway CFD model — the same “where does the heat go” question as EBBO+, at a completely different scale. Siemens Gas and Power case study, via Simcenter.
PRO. 2A full-scale gas-turbine cutaway CFD model — the same “where does the heat go” question as EBBO+, at a completely different scale. Siemens Gas and Power case study, via Simcenter.
Battery electrolyte modeled at the molecular scale (ionic conductivity, via Simcenter Culgi) — the same battery-chemistry problem EBBO+ tackled at the pack level, solved several orders of magnitude smaller.
PRO. 3Battery electrolyte modeled at the molecular scale (ionic conductivity, via Simcenter Culgi) — the same battery-chemistry problem EBBO+ tackled at the pack level, solved several orders of magnitude smaller.
The breadth of the toolset behind these — fluids & thermal, mechanical, systems, electronics — all under Siemens Simcenter.
PRO. 4The breadth of the toolset behind these — fluids & thermal, mechanical, systems, electronics — all under Siemens Simcenter.