Alberto Valdes-Garcia

Alberto Valdes-Garcia

Status

  • Member, AI and Machine Learning Based Technologies for Microwaves Working Group, Technical Coordination & Future Directions Committee, Standing Committees**
  • dml, TC-14 MICROWAVE AND MILLIMETER-WAVE INTEGRATED CIRCUITS, Technical Committees**
  • Speakers bureau, TC-14 MICROWAVE AND MILLIMETER-WAVE INTEGRATED CIRCUITS, Technical Committees**
  • Topic Editor, JMW Editors, Journal of Microwaves, Publications**
Contact
IBM T. J. Watson Research Center
Yorktown Heights NY

Biography

Alberto Valdes-Garcia (S’00–M’06–SM’13) received the B.S. degree (Hons.) in electronic systems engineering from the Monterrey Institute of Technology, Toluca, Mexico, in 1999, and the Ph.D. degree in electrical engineering from Texas A&M University, College Station, TX, USA, in 2006. In 2000, he joined Motorola Broadband Communications, Nogales, Mexico, as an RF Design Engineer. In 2006, he joined IBM Research, Yorktown Heights, NY, USA, where he is currently a Principal Research Staff Member, Manager of the RF Circuits and Systems Group. His current research work is on mmWave systems for communications and imaging applications. In 2013, he was an Adjunct Assistant Professor with Columbia University, New York, USA. He holds more than 65 issued U.S. patents and has authored or co-authored more than 100 peer-reviewed publications. He is a Co-Editor of the book 60 GHz technology for Gbps WLAN and WPAN: From Theory to Practice (Wiley, 20011). Dr. Valdes-Garcia is the winner of the 2005 Best Doctoral Thesis Award presented by the IEEE Test Technology Technical Council. He is the recipient of the 2007 National Youth Award for Outstanding Academic Achievements, presented by the President of Mexico, a co-recipient of the 2010 George Smith Award presented by the IEEE Electron Devices Society, a co-recipient of the 2017 Lewis Winner Award for Outstanding Paper presented by IEEE International Solid-State Circuits Conference, and a co-recipient of the 2017 IEEE Journal of Solid-State Circuits Best Paper Award. Within IBM, he has been twice a co-recipient of the Pat Goldberg Memorial Award to the best paper in computer science, electrical engineering, and mathematics published by IBM Research (2009 and 2017). He was inducted into the IBM Academy of Technology in 2015 and was recognized as an IBM Master Inventor in 2016 and 2019. He served in the IEEE 802.15.3c 60 GHz standardization Committee, from 2006 to 2009. Since 2009, he has been serving as a Technical Advisory Board Member with the Semiconductor Research Corporation, where he was a Chair of the Integrated Circuits and Systems Sciences Coordinating Committee, in 2011 and 2012, respectively. Since 2016, he has been serving as a member for the IEEE MTT-S Microwave and Millimeter-wave Integrated Circuits Technical Committee, where he serves as Chair since 2020. In 2013, he was selected by the National Academy of Engineering for its Frontiers of Engineering Symposium.

Presentations

Vertical integration for mmWave systems: Building a bridge between antennas and AI

Si-based millimeter-wave transceivers and associated antenna-in-package integration techniques have recently reached a high level of complexity and maturity. These advances have enabled their commercial deployment of millimeter-wave systems in mobile communication networks and automotive radar systems.

The complexity and reconfigurability enabled by the co-integration of digital and millimeter-wave circuits has also resulted in a practically infinite configurability space, especially in the context of beamforming systems. In the near future, the application space of millimeter-wave systems will expand as the capabilities of such systems are fully realized by AI-driven adaptation and data interpretation. Effective mmWave hardware to software vertical integration is a key step towards the realization of this vision by closing the gap between antennas and AI.

This talk presents two examples of such vertically integrated systems. First, a Software Defined Phased Array (SDPAR) is discussed. The SDPAR consists of a highly configurable 64-element dual polarized phased array operating at 28-GHz, a Software Defined Radio (SDR), and a software stack enabling access to both radio and spatial beamforming functions from a single API. The second example is a multi-spectral imaging platform consisting of a 60-GHz imaging radar, an IR camera, a visible domain camera, and software for the joint visualization of information from these three distinct spectral domains. Experimental results obtained with these platforms will be presented along with an outlook of their evolution towards the development of AI technology tailored to adaptive communication systems and portable imaging devices.

Contact