2018 Speakers

Karen Bartleson (speaker abstract) has over 35 years of experience in the semiconductor industry, specifically in electronic design automation. Karen retired as Senior Director of Corporate Programs and Initiatives at Synopsys, an electronic design automation company, where her responsibilities included creating programs for technical standards development, software tool interoperability, and creating and maintaining strong relationships with universities and research institutions worldwide. Prior to Synopsys, Karen brought her exceptional professional and leadership skills to bear at United Technologies Microelectronics Center and Texas Instruments.

Karen was President of the IEEE Standards Association in 2013 and 2014. During her tenure, she led the development of a new strategic plan, furthered the principles of the OpenStand market-driven standardization paradigm, and finalized IEEE’s membership in the Global Standards Collaboration.

As a member of and leader within the IEEE Board of Directors in 2013 and 2014, she chaired and led the development of the strategic plan for the IEEE Internet Initiative Committee, whose charter is to raise IEEE’s influence and profile in the areas of Internet governance, cyber-security, and cyber-privacy policy development. She was also a member of the IEEE Strategy Committee, overseeing the development of the role of IEEE in global public policy.

In 2016, Karen was also appointed to the new U.S. Department of Commerce Digital Economy Board of Advisors. Bartleson, an IEEE senior member, and 16 other leaders from the fields of banking, economics, law, and technology are tasked with recommending ways to advance economic growth and job opportunities in the digital age.

Karen has published numerous articles about standards and universities and has authored the book “The Ten Commandments for Effective Standards: Practical Insights for Creating Technical Standards” (Synopsys Press, 2010). In 2003, she received the Marie R. Pistilli Women in Electronic Design Automation Achievement Award. She earned a B.S. in Engineering Science with a concentration in Electronic Engineering from California Polytechnic State University in 1980.

Saman Parvaneh (speaker abstract) received his Bachelors in electrical engineering in 2003 followed by MSc and PhD degrees in biomedical engineering in 2005 and 2011, respectively. He is currently a Senior Research Scientist at Philips Research - North America in Cambridge, Massachusetts. His research interests include the development of personal health solutions and clinical decision support systems and predictive modeling. He is an author on more than 40 scientific papers published in peer-reviewed journals and has presented at international conferences.

Maura K. Moran (speaker abstract), a partner at Cambridge Technology Law, Cambridge, MA, advises on Intellectual Property (IP), technology transfer, licensing, and strategic alliances. She conducts patent prosecution for software, robotics, and AI-related technologies, and is registered to practice law in MA and at the U.S. Patent and Trademark Office.

Maura was the 2016 – 2017 Vice President for Government Relations for IEEE-USA, which advocates to the U.S. Government on behalf of the more than 180,000 U.S. members of the IEEE. She is a candidate for IEEE-USA’s 2019 President-Elect (the results of the election are expected to be announced on 5 October 2018). Maura co-chairs IEEE’s Boston Women in Engineering Chapter and is active with the IEEE Boston Robotics and Automation Society Boston Chapter. She is also active with the Women’s Bar Association of Massachusetts and the Venture Café, which supports the global innovation community through programs, mentoring, and networking.

Maura holds a B.S. Mathematics from the University of Dayton, a J.D. from Boston University School of Law, and has completed graduate coursework in Electrical Engineering at Northeastern University. Maura For a decade of Maura’s legal career, she was an attorney in Digital Equipment Corporation’s Engineering Law Group, where over time she acted as general counsel for several Engineering Groups, among them the Semiconductor Group based in Hudson, MA.

Phillip Nadeau (speaker abstract) is a Research Scientist at the "Analog Garage" innovation lab at Analog Devices in Boston, MA. He is interested in developing systems that bridge algorithms and physical hardware in the wireless, machine learning, and biomedical areas. He completed his S.M. degree, Ph.D. degree, and postdoc in EECS at MIT in 2011, 2016, and 2017 respectively, and also interned at Texas Instruments and Intel. He also completed a Bachelor's degree in Electrical Engineering at the University of Waterloo in 2009, and interned at a number of Canadian firms in the energy, telecommunications, medicine, and defence sectors. Phillip received the Qualcomm Innovation Fellowship in 2014, the EECS Harold Hazen teaching award in 2012, the NSERC fellowship in 2012 and 2009, and the Governor General's Academic Medal in 2009. He also co-supervised the MIT URTC best paper award winner in 2016.

Previous Speakers

2017 Speakers

William D. Oliver (speaker abstract) is jointly appointed Laboratory Fellow (MIT Lincoln Laboratory), Associate Director of the MIT Research Laboratory of Electronics, and Professor of the Practice of Physics (MIT). Will's research interests include the materials growth, fabrication, design, and measurement of superconducting qubits, as well as the development of cryogenic packaging and control electronics involving cryogenic CMOs and single-flux quantum digital logic.

Will received his PhD in Electrical Engineering from the Stanford University. He is a Fellow of the American Physical Society, serves on the US Committee for Superconducting Electronics, and is an IEEE Applied Superconductivity Conference (ASC) Board Member.

Lorenzo Lo Monte (speaker abstract) has a long and comprehensive experience in applied Radar, RF, DSP, EW system design and prototyping, from small companies, consulting, academia, research institutions, to large defense contractors and government agencies worldwide. He serves as Chief Scientist at Telephonics, a top-100 defense corporation specializing in ISR, with the role of translating research innovations into commercial products. Prior to that, he was an Associate Professor at the University of Dayton, where he created the courses “Intro to Radar,” “Radar/RF Systems Design,” and “Intro to Electronic Warfare.” He was also the Director of the Mumma Radar Laboratory. Dr. Lo Monte has published over 70 peer-reviewed journal and conference papers and two book chapters.

Throughout his career, he gained experience in HF-to-W Band radar systems prototyping, including monopulse, radar transmitters, early-warning radars, multistatic and MIMO radar, ISAR and tomography, GPR, passive HF/VHF/UHF systems, IED/EFP detection, ballistic missile defense radar, resonance exploitation, RF/IR integration, DRFM, EA/EP/ES, AMTI/GMTI/MMTI, clutter modeling and study, antenna/microwave design and measurements, instrumentation control, computational electromagnetics, inverse scattering, DSP, electrical/mechanical CAD design. Dr. Lo Monte is very active in the IEEE community, serving in the AES Board of Governor as a member, and as the representative to the Sensors Council, the Young Professionals, and the IoT initiatives. He was the Vice Chair of the IEEE Dayton Section and Vice President of its AESS Chapter. Dr. Lo Monte is also the Topical Editor of the IEEE Sensors Journal for “Radiation Sensors,” and serves as a technical reviewer for eleven IEEE journals. Dr. Lo Monte is also an AESS Distinguished Lecturer. He taught many short courses in radar and RF worldwide, with a focus to underserved areas. Dr. Lo Monte also served as a technical panel member, steering committee member, judge, tutorial instructor, special session organizer, and session chair in many international IEEE conferences.

Justin Solomon (speaker abstract) is an X-Consortium Career Development Assistant Professor in MIT's Department of Electrical Engineering and Computer Science. He was featured in Forbes 30 Under 30 for Science in 2017 and has worked for Pixar Animation Research.

Patrick Winston (speaker abstract) Patrick H. Winston is Ford Professor of Artificial Intelligence and Computer Science at the Massachusetts Institute of Technology. He has been with CSAIL and before that the MIT Artificial Intelligence Laboratory since 1967. He joined the faculty in 1970, and he was the Director of the Artificial Intelligence Laboratory from 1972 to 1997. Professor Winston is particularly involved in the study of how vision, language, and motor faculties account for intelligence. He also works on applications of Artificial Intelligence that are enabled by learning, precedent-based reasoning, and common-sense problem solving. Professor Winston is chairman and cofounder of Ascent Technology, Inc., a company that produces sophisticated scheduling, resource allocation, and schedule recovery applications, enabled by AI technology, and in use throughout the world in major airports and the Department of Defense.

2016 Speakers

Professor Ali Abedi (speaker abstract) received his Ph.D in Electrical and Computer Engineering, from University of Waterloo in 2004. He joined the University of Maine, Orono in 2005, where he is currently Professor of Electrical and Computer Engineering and Director of Center for Undergraduate Research (CUGR) at the office of the VP Research.

He was a faculty fellow at NASA MSFC during summer of 2016, visiting Associate Professor at the University of Maryland, College Park, MD and Guest Researcher at NIST in 2012 and adjunct Professor at Queen's University, Kingston, Canada in 2004. Dr. Abedi served as Principal Investigator on several NASA, Army, and NSF funded projects including Wireless Sensing of Lunar Habitat and Leak Detection for International Space Station, which are featured on Phys.org and NSF Science360.

Dr. Abedi has received a number of awards and recognitions from Natural Sciences and Engineering Research Council of Canada (NSERC), Japan Society for the Promotion of Science (JSPS), Canadian Space Agency (CSA), NASA, and IEEE. He has published over 80 papers in IEEE journals and conferences including several books. Dr. Abedi is a senior member of IEEE and has served on several IEEE Committees at local, regional, national, and international levels as well as organizing committee of several IEEE Int'l conferences and editorial boards of IEEE, KICS, and IET journals. He is co-founder of two startup companies and co-inventor of Wireless Sensors for Brain Injury Detection with Prof. Hayes.

George C. Giakos (speaker abstract) is Professor and Chair of the Department of Electrical and Computer Engineering at Manhattan College, NY. In addition, he is the Director of the Graduate Program. Prior joining Manhattan College, he has been a Professor of Electrical and Computer Engineering and Biomedical Engineering, for the last 20 years, at the University of Akron, OH, USA. While at the University of Akron, he directed the design and development of the US AFRL Multifunctional Imaging Surveillance platform, designed under an AFRL research contract. Dr. Giakos has been recognized for "his leadership efforts in advancing the professional goals of IEEE" by receiving the 2014 IEEE-USA Professional Achievement Award, "in recognition of his efforts in strengthening links between industry, government and academia". He has been elected an IEEE Fellow based on his "Contributions to Efficient Imaging Devices, Systems and Techniques". He is a Distinguished Faculty fellow for the Office of Naval Research.

In addition, he served for several years as faculty Fellow at NASA and Air Force Research Laboratories (AFRL). Professor Giakos received his Laurea in Physics from the University of Turin (Italy), a Post Graduate Diploma in Nuclear Instrumentation from the University of Edinburgh (Scotland), an MS Degree in Physics from Ohio University. He received his Ph.D in Electrical and Computer Engineering, from Marquette University, following Post- Doctoral Training in Medical Imaging, in the Department of Biomedical Engineering, University of Tennessee.

His research group was the first in the US to pioneer the characterization of the detection and imaging characteristics of Cadmium Zinc Telluride semiconductor substrates for flat-panel digital radiography applications.

Matteo Riondato (speaker abstract) is a Research Scientist at Two Sigma Investments in New York City, and a Visiting Assistant Professor in Computer Science at Brown University. His research focuses on algorithmic data science: he develops theoretical and applied methods to extract the most information from large datasets, as fast as possible and in a statistically sound way. The problems he studies include pattern extraction, graph mining, and time series analysis. His results have been published in the main venues in data and web mining, databases, and machine learning. Among the awards he received are the Best Student Paper Award at ACM KDD and the Best Student Poster award at SIAM SDM. He tweets at @teorionda and writes at http://matteo.rionda.to.

Katrina LaCurts (speaker abstract) is a lecturer in the Electrical Engineering and Computer Science department at MIT. She received her PhD in computer science from MIT in 2014. Her PhD research revolved around network measurement and using measurement data to make client applications for cloud-computing infrastructures and datacenters network-aware in order to improve performance. As a lecturer, Dr. LaCurts is responsible for teaching courses that span many topics in computer systems: information theory, signal processing, operating systems, networking, security, etc. Despite this breadth, she is able to talk about her favorite thing ‐ the Voyager program ‐ at least once in every course that she teaches.