Digital signal processing

Ahsan Mehmood

Intern (former), Information Science Lab
Visiting student at King Abdullah University of Science and Technology (KAUST).

Key Enabling Techniques and Practical Considerations for Signal and Information Processing in 5G Cellular Network

Chung-An Shen, Associate Professor, National Taiwan University of Science and Technology

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B9 L2 H2

Abstract The 5th Generation (5G) wireless communication provides considerably enhanced user experiences and offers possibilities of more intriguing applications. In order to fulfil the requirements of 5G like low-latency, energy efficient, and high reliability, many enabling technologies from the physical layer signal processing to the design of network architecture are proposed which all increase the demand for more computing capabilities. This talk gives an overview of the practical considerations, challenges, and techniques for the 5G cellular network. In particular, this talk contains two

Designing, Synthesizing, and Automating Domain-Specific Accelerators

Jian Weng, PhD student, Computer Science Department, UCLA

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KAUST

In this talk, I will first discuss how my research democratizes the accelerator designs and unifies the hardware/software innovations by automating the accelerator design process under a unified programming paradigm. By taking advantage of the compiler’s awareness of the program behaviors that profit from hardware specialization, accelerators can be automatically synthesized by searching through a well-defined design space. These automatically designed accelerators achieve comparable cost/performance efficiency compared with prior handcrafted designs. In the rest of the talk, I will also cover how this work inspires me to develop techniques to accelerate emerging application domains by orders-of-magnitude speedup, including digital signal processing and DNN inference, and how I take advantage of this work to revolutionize the FPGA programming paradigm.

Tarig Ballal Khidir Ahmed

Research Scientist Laboratory for Nanomedicine, Computational Bioscience Research Center King Abdullah University of Science and Technology | KAUST

Mohammad F. Hashem

Mohamed Saadeldin

Postdoctoral Research Fellow, Sensors
Postdoctoral Research Fellow, Sensors Lab at King Abdullah University of Science and Technology (KAUST), Assistant Professor, University College Dublin .

Asmaa Abdallah

Postdoctoral Research Fellow, Electrical and Computer Engineering
Asmaa Abdallah r eceived the B.S. (with High Distinction) and M.S degree in computer and communications engineering from Rafik Hariri University (RHU), Lebanon, in 2013 and 2015, respectively. In 2020, she received the Ph.D. degree in electrical and computer engineering at the American University of Beirut (AUB), Beirut, Lebanon. Ms. Abdallah was the recipient of the Academic Excellence Award at RHU in 2013 for ranking first on the graduating class. She also received a scholarship from the Lebanese National Counsel for Scientific Research (CNRS-L/AUB) to support her doctoral studies. She is

Ahmed Hussain

Ahmed Hussain, (Member, IEEE) received his B.E. degree in Avionics Engineering from NUST University, Islamabad, Pakistan, in 2014 and his M.S. in Avionics Engineering from Aerospace and Aviation Campus, Kamra, Pakistan. Currently, he is pursuing a PhD degree at KAUST, Thuwal, KSA. His research interests include deep learning-enabled near-field communication, digital array signal processing, and wireless communication.

Abdulwahab Felemban

Ph.D. Student, Electrical and Computer Engineering CEMSE, King Abdullah University of Science and Technology (KAUST),completed MSc under the supervision of Prof. Tareq Al-Naffouri.