About inSim.ai

inSim.ai

Denver, Colorado

Physics-first power electronics. Consulting services from architecture through hardware validation. Simulation software built from real design workflows. We use machine learning and AI-driven optimization to explore thousands of design candidates and automate parameter sweeps — compressing weeks of iteration into hours.

Consulting

Coupled multiphysics simulation for power electronics — magnetics, thermal, EMI, and hardware validation. From high-frequency GaN converters to hundreds-of-kW motor drives.

  • Magnetics FEA
  • Thermal & CFD
  • EMI pre-compliance
  • GaN/SiC converter design
  • PCB power integrity
  • Hardware validation

Software

Engineering tools built from real design workflows — not academic prototypes.

inMagnetics

FEM magnetics design and optimization in your browser. Topology-driven, with automated design adviser.

inCircuit

Schematic capture built for power electronics engineers.

Founder

Alihossein Sepahvand, Ph.D.

Power Electronics · Ph.D. · Denver, CO

Over a decade of designing power electronics — from monolithic GaN ICs and production silicon to hundreds-of-kW aerospace motor drives. My work spans university research, high-volume semiconductor development, and mission-critical aerospace hardware. I founded inSim.ai to bring that depth to teams that need simulation done right and hardware that works the first time.

Track Record

Production silicon. Aerospace hardware. Research.

2021 — 2026

Lead Power Electronics Engineer

Barber-Nichols Inc.Arvada, CO

2017 — 2021

Systems Engineer — Lighting Power Products

Texas Instruments Inc.Longmont, CO

2018 — 2022

Graduate Teaching Faculty

University of Colorado BoulderBoulder, CO

2013 — 2017

Graduate Research Assistant — CoPEC

University of Colorado BoulderBoulder, CO

Research & Publications

Peer-reviewed papers in IEEE Transactions on Power Electronics, APEC, ECCE, and COMPEL — covering the problems that show up repeatedly in high-frequency design: resonant converter topologies, GaN device integration, and magnetics that don't behave as modeled.

A Resonant DC-DC Driver

US 10,327,292 B2

DC-TO-DC Driver With High-Resolution Dimming

US 10,461,633 B2

IEEE TPEL Highlighted Paper — high-efficiency matching networks in resonant converters (2018)

Outstanding Presentation Award — IEEE APEC (2016)

Outstanding Researcher — University of Colorado (2018)

Education & Peer Review

Ph.D. Electrical Engineering

University of Colorado Boulder, 2017

Thesis: High Frequency DC-DC Conversion

Advisors: Dragan Maksimović & Khurram K. Afridi

Colorado Power Electronics Center (CoPEC)

Active reviewer for IEEE Transactions on Power Electronics, JESTPE, Open Journal of Power Electronics, Transactions on Transportation Electrification, ECCE, and APEC.