GTronix
History and Founding Team
Dr. Jeff Dugger ,
Dr. Matt Kucic ,
Dr. Paul Hasler,
and Dr. Paul Smith
founded GTronix in 2002 to
commercialize low-power analog computation technology developed in the
Integrated Computational Electronics (ICE) lab at Georgia Tech. The 4 co-founders developed initial
collateral for investor pitches with help from Georgia Tech's Venture Lab and
obtained funding from Silicon Valley investment firm Menlo Ventures. GTronix opened its Fremont, California
headquarters shortly after receiving initial funding in 2004. Utilizing connections through Georgia
Tech and Menlo Ventures, the founders assembled an executive team to help
commercialize the core technology.
GTronix opened a Design Center in Dallas in 2006. Since 2004, GTronix has received
venture funding and has attracted seasoned executive talent from
Fairchild, Altera, National Semiconductor, and other successful startups such
as Ikanos.
GTronix applies proprietary programmable analog technology and novel design techniques to realize sophisticated DSP algorithms in analog integrated circuits yielding smaller, lower-power solutions than traditional DSP implementations. The companyÕs initial product line breaks new ground in analog performance and programmability with the lowest power beamsteering solution on the market.
GTronix in the news:
"Startup GTronix
offers smart analog, aims at portable consumer electronics market"
Electronics Design News,
9/18/2006.
http://www.edn.com/index.asp?layout=article&articleid=CA6373097&partner=eb
Jeff D.
Dugger, Ph.D.
Dr. Dugger co-founded
GTronix in 2002, where he currently leads signal processing,
overseeing algorithm and architecture development to adapt advanced DSP applications
for analog VLSI implementation. He
recruited and built the algorithm and architecture team at GTronix and manages
that team to perform feasibility studies, develop signal processing algorithms
appropriate to GTronix analog technology, build computer models of the
resulting architectures, and provide support for the circuit design team
throughout development. Dr. Dugger
designed and developed the signal processing algorithms behind each of the
companyÕs products leading to GTronixÕ first revenue.
Dr. Dugger earned his
Ph.D. from the Georgia Institute of Technology in 2003. His thesis, Analog VLSI Signal
Processing and Neural Networks, explored novel applications of continuously
adapting floating-gate circuits for on-chip learning. This work required taking fundamental machine-learning algorithms
from mathematical concept to physical integrated circuit implementation,
through algorithm analysis, analog circuit design, simulation, chip layout, and
bench testing.
Dr. Dugger has co-authored
2 book chapters has published 2 journal papers, 9 conference publications and
holds one patent with one patent pending.
Paul E.
Hasler, Ph.D.
Dr. Hasler co-founded GTronix in 2002, where he is
currently Chief Science Officer and a member of the board of directors.
Dr. Hasler is an Associate Professor in the School of
Electrical and
Computer Engineering at Georgia Institute of Technology, and has been with Georgia
Tech since 1997. Dr. Hasler received his M.S. and B.S.E. in
Electrical Engineering from Arizona State University in 1991, and received
his Ph.D. from the California Institute of Technology in Computation and Neural
Systems in 1997.
His current research interests include low-power
electronics, mixed-signal system ICs, floating-gate MOS transistors, adaptive
information processing systems, "smart" interfaces for sensors, cooperative
analog-digital signal processing, device physics related to submicron devices
or floating-gate devices, and analog VLSI models of on-chip learning and
sensory processing in neurobiology.
Dr. Hasler received the NSF CAREER Award in 2001 and
the ONR YIP award in 2002. Dr. Hasler received the Paul Raphorst Best Paper
Award, IEEE Electron Devices Society, 1997, IEEE CICC best paper award, 2005,
Best student paper award, IEEE Ultrasound Symposium, 2006, and IEEE ISCAS
Sensors best paper award, 2005.
Dr. Hasler is a Senior Member of the IEEE, a member
of the Institute for Neural Engineering (INE), and on the organizing committee
for the Telluride Neuromorphic Engineering workshop. Dr. Hasler's research has led
to over 200 publications and over 20 patents or currently reviewed patents.
Matt R.
Kucic, Ph.D.
Dr. Kucic co-founded GTronix in 2002, where he
currently leads non-volatile and process technology development at
GTronix, overseeing all aspects of the company's core technology and processes.
He built the technology team to manage the advancement of the company's core technology
offering through feasibility studies and advanced modeling to support the
circuit design team throughout development.
Dr. Kucic focuses mainly on programming infrastructure to enable large arrays
of non-volatile analog floating-gate devices in analog computational
systems. He also contributes to
advanced research of signal processing architectures, as well as the design,
development, and testing of each of the companyÕs first revenue-generating
products.
Leveraging his background in network engineering at Intel and Georgia Tech, Dr.
Kucic built and manages GTronix' robust multi-site CAD environment as well as providing
all other enterprise-level IT services in a start-up environment.
Dr. Kucic has written 12 journal and conference publications, held 6
presentations/tutorials, and holds 3 patents with additional patents pending.
Paul D.
Smith, Ph.D.
Dr. Smith co-founded
GTronix in 2002, where he currently leads circuit and system
architecture and designed the core circuits driving GTronix' first
revenue-generating product line.
Dr. Smith oversees translation of architectures and algorithms into
analog circuits, spec requirements, and circuit development. He worked on-site to build GTronix
Dallas Design Center from 2-6 engineers while leading and training them on the
companyÕs specific proprietary low-power design techniques. Dr. Smith acts as Program Manager for
advanced research projects with two universities which he manages and advises
to ensure delivery of robust low-power solutions that strengthen and are
aligned with the companyÕs long-term product roadmap and technology strategy.
Dr. Smith earned a Ph.D.
from the Georgia Institute of Technology in 2004. His thesis work in Analog
VLSI Speech Recognition Architecture explored novel analog architectures for
Automatic Speech Recognition.
Dr. Smith has knowledge and experience taking concepts from spec and
definition to circuits and into volume production. He also has experience obtaining venture funding, and
starting a technology based company.
His technical expertise is in the following: low-power analog system
design, semiconductor physics, CMOS programmable filter design, system
architecture design, low-noise circuit design and layout, bio-insipred system
design, neuro-biological system understanding (neurobiology), digital design,
DSP/FPGA coding, system testing (PCB/custom), C-code, and Matlab.
Dr. Smith has published 4 journal
and 14 conference papers. He also holds two patents with two patents pending.