Dharmendra Modha
IBM Fellow, IBM Chief Scientist, Brain-Inspired Computing
IBM
Dr. Dharmendra S. Modha is an IBM Fellow and IBM Chief Scientist for Brain-inspired Computers. He is a cognitive computing pioneer who envisioned and now leads a highly successful effort to develop brain-inspired computers. The groundbreaking project is multi-disciplinary, multi-national, multi-institutional and has had worldwide scientific impact. It has been funded to the tune of >$200M by DARPA, DOD, DOE, and Commercial contracts. Its resulting revolutionary computing architecture and ecosystem break from the prevailing von Neumann paradigm and constitute a foundation for new classes of ultra-low-power, compact, real-time, multi-modal sensorimotor information technology systems.
Dr. Modha has made significant contributions to IBM businesses via innovations in caching mechanisms for storage controllers, clustering algorithms for services, and coding theory for disk drives. His work has been featured in Economist, Science, New York Times, BBC, Discover, MIT Technology Report, Associated Press, Popular Mechanics, Communications of the ACM, Forbes, Fortune, and IEEE Spectrum amongst thousands of media mentions. Author of over 80 papers and inventor of over 200 patents, he has been a recipient of ACM’s Gordon Bell Prize; Misha Mahowald Prize; R&D Magazine’s 2016 Scientist of the Year; USENIX/FAST Test of Time Award; Best Paper Awards at ASYNC and IDEMI; First Place, Science/NSF International Science & Engineering Visualization Challenge; IIT Bombay Distinguished Alumnus Award; UCSD ECE Distinguished Alumnus Award; R&D 100 Award; and is a Fellow of IEEE and World Technology Network. In 2013 and 2014, he was named as Best of IBM. TrueNorth and NorthPole have both been accepted into the Computer History Museum. On their 40th Anniversary, EE Times named Dr. Modha amongst 10 Electronics Visionaries to Watch.
Dr. Modha received BTech from IIT Bombay in 1990 and PhD from UCSD in 1995.
Eliana Stefani
Staff Autonomy & AI Research Engineer
Lockheed Martin
Eliana Stefani, PhD is a Staff Autonomy & AI Research Engineer at Lockheed Martin, with expertise in autonomous systems, AI, and robotics. She has experience architecting solutions to complex problems, leading teams across engineering disciplines, and deploying artificially intelligent systems to the edge.
As Principal Investigator, she architected the autonomy stack and developed novel autonomous driving software for the Lunar Terrain Vehicle, enabling a rover to navigate dynamic obstacles while traversing unmapped environments; garnering interest from additional customers.
As Program Manager and later Chief Engineer, she architected system design, led a multi-disciplinary engineering team from research concept to successful test events, guided the program to a contract win, and interfaced with customers and stakeholders.
Dr. Stefani's strong track record of delivering high-impact results and driving program success has been recognized with multiple awards from within Lockheed Martin. She has presented at conferences including NVIDIA's GTC-DC and Amazon's re:MARS.
Jenny Wu
Partner
Groombridge Wu
Thomas Marlow
CTO
Black Hills AI
Paul Bettridge
Partner
Carpmaels & Ransford
Matt Cripe
Director, Strategic Partnerships
Innventure PureCycle Alum
Josephine Young
Partner
Groombridge Wu
Jeffrey Smith
Partner
Finnegan