Eric Basham Email & Phone Number

• 2024 SSCS PICO Open-Source ChipAthon for Automating Analog Layout participant and FOSSi advocate applying Python and open-source PDK toolchains to generate and foster open sharing of analog and AI/neuromorphic primitives.• Equipped and built infrastructure for rapid microfluidics prototyping facility realizing savings of $5k and 10 days per run.• Developed a modular system architecture and holistically coordinated cross-functional teams (programming, chemistry, and engineering) to streamline portable viral detection system development by 20%.• Conceptualized a CMOS image sensor microfluidic spectrophotometer, realizing a 2X LOD increase at 1/8th the cost and meeting NIH grant budget and scope.• Revised and documented an automation control system for an as-built 3D housing printer, establishing signal integrity necessary for closed-loop motor control and AI tuning (C, GCode & Python), while also reducing power consumption 40%.• Applied generative large language models (LLM) using cutting-edge artificial intelligence (AI) knowledge and market analysis acumen, providing semiconductor device manufacturing clients a time-to-market advantage of 3 1/2 months.

Shoreline, Washington, Us

• Collaborated remotely to conceive, simulate, debug, and verify a novel 0.5µm low-power analog neuromorphic integrated circuit (IC), generating two publications.• Orchestrated the implementation of a $19 TinyML AI robotic design kit, integrating CAE, CAD, and IDE software campuswide, introducing Python to first-year students, and optimizing curricula to include an FEA/MATLAB module per course correlated to a 40% surge in CompE and EE majors and a 2X increase in transfers to top 10% programs.• Integrated multivariate data analysis, codesign of adaptive neural network assessment software, and novel intradisciplinary teaching methods to facilitate an 11% and 12% GPA rise and a 20% and 22% increase in enrollment for women and underrepresented minorities in Computer Science curricula.• Mentored engineering club to standards of rigorous engineering design and project management practices, leveraged expertise in rapid manufacturing techniques and assembly best practices to knowledge share, resulting in the club's first victory in over 12 years and its unprecedented 1st place win.

Santa Clara, California, Us

• Designed and assembled a light guide nanofluidic interface meeting requirements and specifications on the first pass.• Identified and isolated sensor die failures with wafer-scale probe testing, reducing post-process waste by 70%.• Fabricated, debugged, maintained, troubleshot, calibrated, and upgraded optoelectrochemical microfluidics instruments to increase instrument availability from 80% to 98%.• Championed, selected, procured, installed, and calibrated all tooling and instruments to develop rapid prototyping facilities for instrumentation build, repair, and upgrade, increasing measurement test stations from 4 to 14.

San Jose, Ca, Us

• Awarded an NSF EAGER grant to support untested, transformational work to develop a bioelectronic half-center oscillator using harvested neural cells and analog computational circuits implementing dynamical systems theory based neural models, the 1st published design of this type.• Fabricated a high-vacuum cryogenic reactive thermal evaporation system from EOL equipment and scrap ( -196°C, 2800°C, 10-7 Torr) to deposit hafnium oxides for biocompatible FETs and memristors. Robust low maintenance design and intuitive use has enabled research for 10 publications and enabled an NSF grant in 2023.• Supervised MS theses, proposing, reviewing, guiding, and evaluating work on PCB and IC neuromorphic computational circuits, including ADC, DAC, LDO and FPGA AI/ML accelerator designs, with 100% first-choice job placement.

Santa Cruz, Ca, Us

• Achieved complete, end-to-end, a priori to experimental hypothesis testing:- Derived analytical solutions bridging Maxwell's equations and cable theory to electromagnetically stimulate neurons.- Verified with COMSOL and HFSS finite element analysis (FEA) simulation.- Performed biological model selection, preparation and experimentation.- Designed and fabricated a biocompatible MEMs device incorporating bioelectronic sensing and stimulation.- Fabricated an optical bioelectronic microprobe station incorporating custom designs for analog, high-speed low impedance coil drivers (3 MHz), high power supplies (100V, 50A), and low noise amplifiers (nV/√Hz).- Applied machine learning methods to denoise, spike sort, and cluster signals, revealing a signal with a 95% CI.

San Jose, Ca, Us

• Created a framework and designed a 0.5µm CMOS reconfigurable analog array design for students to design, fabricate, and test mixed-signal integrated devices in a single semester in the SJSU MPEL cleanroom foundry. Published in the Journal for Engineering Education, the cell design and framework have enabled over 100 (and counting) student designs.• Evaluated novel parameter extraction methods and models (Gm/Id) using process design and physical design simulation TCAD and validated by cleanroom fabrication of subthreshold high gain double diffused transistors (DDMOS-FET), (building necessary metrology infrastructure to test and measure) resulting in a textbook and lab manual.• Completed the physical layout of 7 wafer process and material characterization structures to facilitate a 4X process yield.

Santa Clara, California, Us

• Developed a multiphase domino logic heterogenous topology to increase speed 15% and reduce area 10% of a 40-bit multiplier integrated circuit fabricated with a 60nm SOI CMOS process.

Phd, Electrical Engineering

Ms, Electrical Engineering

Bachelor Of Science - Bs, Biotechnology