Research scientist, engineer, and Navy veteran building the next generation of biologically-inspired AI — from evolved FPGA circuits to autonomous drone systems.
Derek Whitley began his career as a Cryptologic Technician in the United States Navy. After completing his service, he pursued computer science and software engineering, working on embedded systems including electro-optic camera drivers, radar systems, and low-power computing solutions.
He returned to academia to earn dual doctoral degrees from Indiana University Bloomington — in Complex Systems at the Luddy School of Informatics and in Cognitive Science at the Department of Psychological and Brain Sciences. His research, funded by NASA, the U.S. Air Force, and the Office of Naval Research, focuses on evolutionary AI methods that don't rely on traditional computing architectures.
As CTO and Co-Founder of Vivum AI, Derek leads a team developing biologically-inspired neural networks that reduce power consumption by orders of magnitude — enabling real autonomy on edge devices for applications in defense, drone operations, and beyond.
Applying evolutionary algorithms to FPGAs to intrinsically evolve novel, counter-intuitive analog circuit designs. An open-source platform enables researchers worldwide to conduct bitstream-level experiments, visualize results, and share data.
Continuous-time neural models that integrate sensory input over time, mirroring biological neurons. These networks generate adaptive behaviors rather than executing pre-scripted tasks — enabling systems that generalize to novel situations in real-time with minimal computational overhead.
Embedding dynamic neural architectures into robotic and unmanned systems — from insect-leg locomotion platforms to advanced UAVs. Focused on behavior-driven autonomy for emergency recovery, last-mile delivery, and BVLOS drone operations.
Evolutionary & Adaptive Systems Lab with Dr. Randall Beer and Dr. Eduardo Izquierdo. Research in evolvable hardware, analog circuit evolution, and electronic neuroevolution.
Cognitive Communication project — advancing cognitive radio technology for SWaP-efficient deep space communication on future lunar and Mars missions.
AI/ML applications addressing next-generation national security challenges: cybersecurity, trusted microelectronics, autonomous robotics, and counter-UAS.
Engaged with the Bloomington startup ecosystem and global AI venture community to advance dual-use evolutionary AI technology from research to market.