His journey began with a deep curiosity for technology, from disassembling household gadgets in Ghana to earning a Bachelor's in Computer Engineering at Texas Tech University. David has researched at the Florida Institute for Cybersecurity Research (FICS) and the Florida Institute for National Security (FINS), contributing to cutting-edge projects involving Artificial Intelligence, Integrated Circuit Design and Hardware Security. During his internship at Texas Instruments, he also developed graph models for AMS circuit schematics using NLP techniques. A recipient of the SMART Scholarship under the Department of Defense, David is passionate about the applications of intelligent models to the semiconductor supply chain.
David Koblah
University of Florida
Research Expertise
About
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Education
University of Florida
Doctor of Philosophy (Ph.D.) / 2024
University of Florida
Master of Science (MSc) / 2023
Texas Tech University
Bachelor of Science (BSc) / 2019
Experience
University of Florida
Research Associate (Fulltime) / February, 2025 — February, 2025
Leading AMS design generation and multi-agent optimization through advanced causal AI techniques to enhance design efficiency by 30% Integration of generative AI techniques such as GANs and Transformers built using TensorFlow to generate corresponding AMS topologies for reduced design time Contributing to solutions and publications integrating multi-objective evolutionary algorithms with logic-level benchmark generation and security improving design metrics by as much as 60%
Graduate Research Assistant / August, 2019 — December, 2024
Pioneered causal AI techniques for AMS parameter optimization achieving marked improvement in performance metrics Developed novel evolutionary algorithm framework for multi-objective digital circuit generation and optimization enhancing design efficiency by 55%. Implemented graph-based learning methodologies to transform sensitive IPs while preserving structure and functionality Created enhanced object-detection models for X-ray CT analysis of PCBs reducing analysis time from 14 hours to under 5 minutes significantly improving throughput. Conducted export-controlled research in specialized and secure computing environments Extensive work using the HiperGator GPU supercomputing environment for CUDA-based AI model training and deployment
Teaching Assistant EEE 4310 Digital Integrated Circuits / January, 2021 — April, 2021
Conducted weekly office hours and supervised Cadence projects for 60+ undergraduate students to reinforce in-class concepts within industry -standard design environments Developed an in-class presentation on Laser Fault Injection that connected MOS behavior and theoretical concepts with practical applications enhancing student engagement and comprehension Provided one-on-one mentoring fostering a deeper understanding of digital integrated circuits concepts
Teaching Assistant EEL 6742 Advanced Hardware Security / August, 2021 — December, 2021
Developed assessment materials and managed research presentation assignments for 40+ graduate students enhancing their understanding of hardware design tools and security concepts Created comprehensive quiz materials aligned with course learning objectives for effective learning assessment Provided one-on-one mentoring for hardware design tools and security concepts
Missile and Space Intelligence Center Defense Intelligence Agency (DIA)
Intelligence Analyst (Summer Internship) / June, 2023 — August, 2023
Developed Python-based parser for automated software reverse engineering using Natural Language Processing (NLP) to reduce analysis time Applied hardware reverse engineering expertise to top-secret intelligence analysis for use by clients Collaborated extensively with intelligence teams on classified projects contributing to successful mission outcomes
Texas Instruments Inc.
Software Engineering (Summer Internship) / June, 2020 — August, 2020
Developed Python-based algorithm for analog circuit schematic retrieval from SQLite CAD repository for general use by Central Analog team. Implemented detailed AI-based graph embedding algorithm for technology-dependent circuit schematics to port subcircuits across different design libraries Collaborated with team to provide successful product-centered presentations on the applications of design-porting project to multiple stakeholders in the organizational structure
NemaLife Inc.
Computer Engineer / September, 2018 — May, 2019
Programmed embedded systems for device control including LCD touchscreen and pumps to automate and sustain the 3-day lifecycle of Caenorhabditis elegans for various experiments Contributed to the development of computer vision-based algorithm for automated nematode tracking and behavior analysis reducing dependence on human effort Designed and developed preliminary version of company's first iOS-based application to monitor nematode counts
University of Florida (FICS)
Summer Undergraduate Research Assistant / May, 2018 — August, 2018
Developed a specialized Convolutional Neural Network (CNN) using Python programming language and TensorFlow to analyze X-ray tomography of the Digilent Spartan-3 Board and in-house test board reducing analysis time by 210% Contributed additional algorithms for post-processing requirements of X-ray tomography enhancing image quality and accuracy by 5% Improved overall system efficiency decreasing processing time from 14 hours to under 40 minutes.
Texas Tech University
Undergraduate Research Assistant / July, 2017 — May, 2019
Developed code for an automated microfluidic pump device using C language enhancing device functionality and reliability Engineered custom pressure transducers meeting precise specifications for microfluidic applications Collaborated with interdisciplinary team on bacterial culture protocols and chemical preparation for microfluidic experiments Led device maintenance and update coordination across 5 partner universities (domestic and international) and NASA ensuring consistent performance standards Documented technical specifications and created user manuals for partner institutions improving device adoption rates
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