Dr. Biruk Seyoum

Affiliation:

Columbia University, New York City, New York

Webpage:

https://www.linkedin.com/in/biruk-b-seyoum-0b9bbb75/

Bio:

Biruk Seyoum received the MS degree in telecommunication and electronics from the University of Trento, and the PhD from Scuola Superiore Sant’Anna (cum laude). He is currently a postdoctoral research scientist at Columbia University. His research interests include architecture, CAD tools, and applications for reconfigurable platforms, architecture and performance optimization of deep neural network hardware accelerators, and system-level methodologies for the integration of heterogeneous computing platforms. He is also interested and contributes to the open-hardware and open-FPGA community. He is the author and co-author of multiple papers in international peer-reviewed conferences and journals.

Prof. Brandon Reagen

Affiliation:

New York University (NYU)

Bio:

Brandon Reagen is an assistant professor of Electrical and Computer Engineering at New York University with a focus on computer architecture. He leads a group of 8 PhD students whose current focus is to make cryptographic computing practical through algorithmic, compiler, and hardware optimizations for homomorphic encryption, zero-knowledge proofs, and secure multi-party computation. Prior to cryptographic computing, he made significant contributions to accelerator design and hardware for machine learning. The work has been recognized with the ASPLOS'25 Best Paper Award, and multiple best paper nominations (DAC, PACT, HASP), and multiple Top Pick/honorable mention awards. He has further implemented many ideas, participating in multiple chip tape outs. He has been a performer (and PI) on the DARPA DPRIVE, PROWESS, and COOP programs, was recognized as a DARPA Riser, and won his NSF CAREER. He is also now lead PI on the NSF CIRC Grand Cryptolets project and has generously received support from Google, DTCC, and AMD.

Dr. Francesco Restuccia

Affiliation:

University of California, San Diego, CA, USA

Webpage:

https://www.linkedin.com/in/frestuccia/

Bio:

Francesco Restuccia is a postdoctoral researcher at the University of California, San Diego. He received his Ph.D. in Computer Engineering (cum laude) from Scuola Superiore Sant'Anna Pisa, Italy, in 2021. In 2016, he has been engineering intern at the Fermi National Accelerator Laboratory, USA. In 2017, he has been visiting master’s student at the Polytechnic University of Valencia, Spain. In 2020, he has been visiting researcher at the University of California, San Diego, USA. He has been the publicity chair for the 1st edition of the RAGE workshop and he is Technical Program Committee Chair for the 2nd edition of the same workshop. He authored and co-authored multiple research articles published at top-notch peer-reviewed conferences and journals regarding hardware security, on-chip communications, timing and performance analysis of heterogeneous platforms, cyber-physical systems, and time predictable hardware acceleration of deep neural networks on heterogeneous platforms. In 2022, he has been an invited speaker at the 2022 US Hardwear.io security conference and training.

Prof. Davide Rossi

Affiliation:

University of Bologna, Bologna, Italy

Webpage:

https://www.unibo.it/sitoweb/davide.rossi/en

Bio:

Davide Rossi, received the PhD from the University of Bologna, Italy, in 2012 where he currently holds an Associate Professor position. His research interests focus on energy efficient digital architectures in the domain of heterogeneous and reconfigurable multi and many-core systems on a chip. This includes architectures, design implementation strategies, and runtime support to address performance, energy efficiency, and reliability issues of both high end embedded platforms and ultra-low-power computing platforms targeting the IoT domain. In these fields he has published more than 100 papers in international peer-reviewed conferences and journals. He is recipient of Donald O. Pederson Best Paper Award 2018, - 2020 IEEE Transactions on Circuits and Systems Darlington Best Paper Award, 2020 IEEE Transactions on Very Large Scale Integration Systems Prize Paper Award.

Prof. Luca Benini

Affiliation:

ETH Zurich and University of Bologna

Webpage:

https://ee.ethz.ch/the-department/people-a-z/person-detail.luca-benini.html

Bio:

Luca Benini holds the chair of digital Circuits and systems at ETHZ and is Full Professor at the Universita di Bologna.He received a PhD from Stanford University. He has been visiting professor at Stanford University, IMEC, EPFL. He served as chief architect in STmicroelectronics France. Dr. Benini's research interests are in energy-efficient parallel computing systems, smart sensing micro-systems and machine learning hardware. He has published more than 1000 peer-reviewed papers and five books. He is an ERC-advanced grant winner, a Fellow of the IEEE, of the ACM and a member of the Academia Europaea. He is the recipient of the 2016 IEEE CAS Mac Van Valkenburg award,the 2019 IEEE TCAD Donald O. Pederson Best Paper Award and the ACM/IEEE A. Richard Newton Award 2020.