Robinson Pino, Ph.D. Email & Phone Number

Washington D.C. Metro Area

Office of Science, Office of Advanced Scientific Computing Research (ASCR), Program Manager for Advanced Computing Technology Division (ACT) Division. Manage research investment portfolios in mission relevant areas to DOE such as Future Computing, High Performance Computing, Software Tools/Applications, Machine Learning, Neuromorphic Computing, Artificial Intelligence, Computational Neuroscience, Cybersecurity, Semiconductors, Microelectronics, Networking, Advanced Wireless, 5G+, and Photonics.

In 2022, President Joe Biden signed into law the CHIPS and Science Act of 2022. It is a vital first step that provides the Department of Commerce with $50 billion for a suite of programs to strengthen and revitalize the U.S. position in semiconductor research, development, and manufacturing—while also investing in American workers. Developed Funding Opportunity Announcements, Other Transaction Authority Agreements (OTAs), Strategic Vision and Goals. Learn more and signup for updates at chips.gov

Washington D.C. Metro Area

Advancing state-of-the-art cybersecurity by applying autonomous concepts from computational intelligence and neuromorphic computing for the U.S. Department of Defense (DoD) Army Research Laboratory (ARL). Dr. Pino’s research and development program focuses on the development of intelligent, autonomous, and cognitive applications toward cybersecurity solutions.

Program Manager, Principal Investigator, and Team Leader in the areas of computational intelligence and neuromorphic computing architectures. Leading group of senior scientists, engineers, and contractors to perform research and development on emerging advanced computing architecture technologies. Research and development program focuses on the development of nanotechnology based intelligent, autonomous, and cognitive emerging computing architectures involving computing theory, devices, architecture and applications to develop emerging next generation computing processors. Contracting Officer Representative (COR) for the DARPA SyNAPSE program.Neuromorphic computing promises to circumvent the physical limitations of Moore’s Law to achieve high-performance computing using silicon based digital technologies to satisfy our ever increasing demand for high performance, cost effectiveness, and low power computers. To meet all aforementioned benchmarks, the emerging Neuromorphic Computing field exploits the characteristic behavior of novel material systems with advanced processing techniques to achieve very large scale integration with highly parallel neural architectures. Neuromorphic computing architectures seek to imitate natural neuro-biological systems and processes within the nervous system. This research will focus on the development of neuromorphic computational devices, mathematical models, computational algorithms, novel materials, and computational applications to develop neuromorphic computing processors. The research effort leverages our in-house 500 Teraflop super computing cluster, academic, and industry partners.

Teach graduate/undergraduate courses in electrical engineering: Optoelectronic Devices (EE365) optical and electro optical properties of semiconductor materials. Applications to photodetectors, solar cells, light emitting diodes and lasers. Semiconductor Device Models & Simulation (EE338) device compact model development and extraction for integrated circuit design simulation and applications.

Semiconductor Enablement Modeling Development Engineering: Responsible for Compact Model development and model extraction characterizing IBM’s newest CMOS technologies (BSim, PSP, HiSim). Perform theoretical model updates, statistical model generation, model conversions, model to hardware correlation analysis, and integration within Design Systems.Business Operations Professional: Responsible for operations management, such as unit revenue, cost, and expense budgets. Capacity planning and automation through implementation of heuristic models; business processes automation and development, i.e. business controls and procedures, Lean Manufacturing, and inventory/materials control systems.

Ph.D., Electrical Engineering

Honors: Allen B. DuMont Prize (2005) Given to an EE major graduate student, "who made a substantial contribution to his/her field of study"

B.E.(E.E.), Electrical Engineering

Honors: Summa Cum Laude

Education record