DET Talks

What is it?

 

DET talks are an initiative of the DET Department to facilitate scientific interaction, bringing people together to attend technical talks by either external or internal experts. PhD students of the EECE doctoral program with registered attendance to a DET talk (google form registration + signature on attendance sheet) receive one hour of "hard skills" counting towards satisfying the EECE requirements. Plus, a coffee break is offered at the end of the talk.

EECE PhD student registration link (same for all talks, be sure to insert the correct talk date): here

   

Upcoming Talks:

  

Title: Unlock the Potentials of Large-Element-Spacing Antenna Arrays: Grating-Lobe Suppression, High Gain, Low Sidelobe, and Beam Scanning

Speaker: Prof. Yuehe Ge, College of Physics and Information Engineering, Fuzhou University, China

Abstract:

Antenna arrays with large-element-spacing (LES, >1) offer advantages such as lower cost and less structural complexity. However, they typically suffer from high-level grating lobes, limiting their applications. Therefore, grating-lobe suppression technology in low-profile, high-gain planar antenna arrays has long been an interesting focus for antenna researchers.
In this talk, I will introduce a novel method to eliminate or reduce grating lobes in sparse, thinned, and uniformly large-element-spacing (LES) antenna arrays. Additionally, The radiation performance of the LES array, focusing on achieving high gain, high aperture efficiency, low sidelobes, and effective beam scanning, has been investigated. The results are promising and will be presented in detail. While our investigation is based on uniformly spaced LES antenna arrays, the conclusions drawn can also be applied to non-uniform, sparse, or thinned arrays.

Speaker Bio:

Yuehe Ge is a Professor in the College of Physics and Information Engineering at Fuzhou University, China. He received the Ph.D. degree from Macquarie University, Australia, in 2003. From 1991 to 1999, he was an Antenna Engineer at Nanjing Marine Radar Institute, China. From 2002 to 2011, he was a Research Fellow in the Department of Electronic Engineering, Macquarie University, Australia. In June 2011, he joined Huaqiao University, China, and became a Full Professor. Since July 2020, he has been a Professor at Fuzhou University, China. His research interests include antenna theory and designs for radar and communication applications, computational electromagnetics and optimization methods, metamaterials and metasurfaces as well as their applications. He has authored and co-authored over 200 journal and conference publications.
Professor Ge received several prestigious prizes from China State Shipbuilding Corporation and China Ship Research & Development Academy in 1995 and 1996. He received 2000 IEEE MTT-S Graduate Fellowship Awards. He is the co-winner of 2004 Macquarie University Innovation Awards-Invention Disclosure Award. He has served as a Guest Editor for the IEEE Transactions on Microwave Theory and Techniques and a technical reviewer for over 10 international journals and conferences. He was the General Co-Chair of the 2020 Cross-Strait Radio Science & Wireless Technology Conference (CSRSWTC2020) and the TPC Co-Chair of APCAP2020, APCAP2022, and APCAP2023.

 

When & where: 12 July 2024, 2:00 PM, Meeting Room DIMEAS P3

Flyer: DET Talk 12072024 application/pdf (264.01 kB)

  

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Past Talks:

 

Title: Implantable Electronics for a High-Fidelity Artificial Retina

Speaker: Dr. Dante Gabriel Muratore, TUDelft (The Netherlands)

Abstract: Electronic interfaces to the retina represent an exciting opportunity to restore or even enhance vision. Although proof of principle devices have been demonstrated, they provide limited visual function. This is because they only provide coarse control over the targeted neural circuitry and fail to respect its cellular and cell-type specificity. To achieve better results, future devices should be able to control a large population of neurons with cellular resolution. In this talk, I will present the design of a wireless bi-directional neural interface and discuss on the circuit and system challenges associated with the design of its implantable electronics.

Speaker Bio: Dante G. received a B.Sc. and an M.Sc. degree in Electrical Engineering from Politecnico of Turin, Italy in 2012 and 2013, respectively. He received a Ph.D. degree in Microelectronics from the University of Pavia, Italy in 2017 in the Integrated Microsystems Lab. From 2015 to 2016, he was a Visiting Scholar at Microsystems Technology labs at the Massachusetts Institute of Technology, USA. From 2016 to 2020, he was a Postdoctoral Fellow at Stanford University, USA. He is the recipient of the Wu Tsai Neurosciences Institute Interdisciplinary Scholar Award. Since 2020, he is an assistant professor in the Bioelectronics Section at Delft University of Technology, Netherlands, where he leads the Smart Brain Interfaces group. His group investigates hardware and system solutions for high-bandwidth brain-machine interfaces that can interact with the nervous system at natural resolution. They contribute solutions for massively parallel bidirectional interfaces, on-chip neural signal processing, and wireless power and data transfer.

When & where: 18 June 2024, 10:00 AM, sala Luigi Ciminiera, DAUIN department (5th floor, entrance from C.so Castelfidardo 34D)

Flyer: DET talk 18062024 application/pdf (262.73 kB)

  

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Title: Dynamic Distributed Computing for Autonomous Vehicles

Speaker: Prof. Marco Levorato, University of California, Irvine, USA

Abstract: Neural networks are becoming a central component of a broad range of applications. However, the complexity of the tasks, the diversity of operating contexts, as well as channel and computing resource scarcity challenge the effective deployment of neural models in many relevant scenarios. In this talk, I will provide an overview of the techniques and frameworks that my research group developed to allow flexible, efficient and resilient distributed neural computing for robotic perception and autonomous navigation. Our approaches deeply integrate system and machine learning to obtain practical solutions deployable on real-world hardware platforms and applications.

Speaker Bio: Marco Levorato is a Professor in the Computer Science department at the University of California, Irvine. He completed the PhD in Electrical Engineering at the University of Padova, Italy, in 2009. Between 2010 and 2012, he was a postdoctoral researcher Jointly at Stanford and the University of Southern California. Prof. Levorato’s research interests are focused on distributed computing over unreliable wireless systems, especially for autonomous vehicles and robotic applications. In this area of research, he has more than 170 papers in IEEE and ACM venues. His work received the best paper award at IEEE GLOBECOM (2012). He received the UC Hellman Foundation Award in 2016, the Dean mid-career research award in 2019, and the UCI Innovator Award in 2024. His research is funded by the National Science Foundation, the Department of Defense, Intel and Cisco. In 2020-2021, he was the vice chair of the IEEE Technical Committee on Smart Grid Communications. He serves in the TPC of IEEE Infocom, IEEE Secon, IEEE Percom, IEEE ICDCS and ACM MobiHoc, is an editor of the IEEE/ACM Transactions on Networking, and was part of the organizing committee of several IEEE and ACM conferences. 

When & where: 26 June 2024, 11:00 AM, sala Maxwell, DET department (5th floor)

Flyer: DET talk 26062024 application/pdf (314.63 kB)

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