EDGE AIP – the Academia-Industry Partnership

EDGE AIP – the Academia-Industry Partnership
EDGE AIP – the Academia-Industry Partnership

With over 100,000 people taking tinyML classes and hundreds of faculty engaged in tinyML and Edge AI efforts around the globe, we wanted to invest in bridging the energy between industry and academia – to leverage and inspire R&D, support students and faculty, develop career paths and mentoring opportunities and strengthen our worldwide community.

EDGE AI SCHOLARSHIP and beyond

In addition to the new EDGE AI SCHOLARSHIP Fund, which provides fellowships and grants to help offset edge AI learning costs for students and faculty the AIP will work to enhance this partnership in these key areas:

  • We are integrating the amazing worldwide tinyML EDU efforts – chaired by Brian Plancher, and the tinyML4D efforts, co-chaired by Marco Zennaro and Marcelo Rovai, into the IAP as a key part of the EDGE AI FOUNDATION.
  • As anyone who has been to one of our in-person events can attest, academia plays a strong role through content leadership, presentations, posters and more
  • Our world-wide discord server is “the place” to engage in dialogue with industry and academia
  • The IAP will also help the EDEG AI FOUNDATION develop new programs to enrich curriculum, certification, research challenges and hackathons, and worldwide mentorship and internship opportunities

We’re now happy to announce the Academia-Industry Leadership team that will govern and navigate the opportunities for our community worldwide:

Vijay Janapa Reddi (co-chair) is an Associate Professor in John A. Paulson School of Engineering and Applied Sciences at Harvard University. Prior to joining Harvard, he was an Associate Professor at The University of Texas at Austin in the Department of Electrical and Computer Engineering.

Hajar Mousannif is an associate professor and coordinator of the Master program in Data Science within the department of computer science at the Faculty of Sciences Semlalia (Cadi Ayyad University, Morocco). She holds a PhD degree in computer Sciences on her work on Wireless Sensor Networks and Vehicular Networks.

Marcelo Rovai (co-chair of tinyML4D) was born in São Paulo and holds a Master’s degree in Data Science by the UDD in Chile, as well as an MBA by IBMEC (INSPER) in Brazil. He graduated in 1982 as an Engineer from UNIFEI with a specialization from Poli/USP, both institutions are located in Brazil.

Marian Verhelst is a professor at the Electrical Engineering department of KU Leuven. Previously, from 2008 till 2011, she worked as a research scientist in the Radio Integration Research Lab of Intel Labs, Hillsboro OR, and in 2005 she was a visiting scholar at the Berkeley Wireless Research Center(BWRC) of UC Berkeley.

Brian Plancher (co-chair) (chair of tinyML EDU) is an Assistant Professor of Computer Science at Barnard College, Columbia University, where he leads the Accessible and Accelerated Robotics Lab (A²R Lab). He holds affiliate positions in the Department of Computer Science and Electrical Engineering at the Fu Foundation School of Engineering and Applied Science, Columbia University.

Eiman Kanjo

Prof. Eiman Kanjo is a Professor of Pervasive Sensing and the head of the Smart Sensing Lab. Eiman has been appointed as the Provost’s Visiting Professor in tinyML at Imperial College London starting- October 2023. She has recently been honored as one of the Top 50 Women in Engineering by the Women in Engineering Society.

Marco Zennaro (co-chair of tinyML4D) is a research scientist at the Abdus Salam International Centre for Theoretical Physics in Trieste, Italy, where he coordinates the Science, Technology and Innovation Unit. He received his PhD from the KTH-Royal Institute of Technology, Stockholm, and his MSc degree in Electronic Engineering from the University of Trieste.

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