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<> machine learning (22)

Making LLMs Agentic: How Tool Use and Synthetic Data Drive Real-World Intelligence

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B2/3 L0 R0215

This talk presents advancements in agentic AI, focusing on creating and utilizing datasets and models that enable Large Language Models to effectively interact with external tools for real-world applications.

David Gomez-Cabrero

Associate Professor, Bioscience
Professor Cabrero's research focuses on developing statistics and machine learning tools for understanding biological systems that address health-related applications, advance biomedical research and enhance our understanding of the molecular mechanisms of diseases with the potential to uncover novel therapeutic approaches.

Hayssam Dahrouj

Senior Research Scientist at KAUST (King Abdullah University of Science and Technology)

Karen Sanchez

Postdoctoral Research Fellow
Karen Sanchez is a Postdoctoral Researcher in the IVUL lab at KAUST, specializing in deep learning, machine learning, and artificial intelligence (AI) for healthcare applications. Her research focuses on video understanding, domain adaptation, generative AI, and methods for preserving patient privacy.

Hani A. Al Majed

M.S. Student
Electrical and Computer Engineering Master's student at KAUST under the supervision of Professor Bernard Ghanem, with expertise in machine learning workflow automation, physics-informed neural operators, and AI for Science, particularly in chemistry applications. Passionate about leveraging AI to solve complex scientific problems.

Ahmad Sait

M.S. Student, Computer Science
Ahmad Sait is a Master's student in the Computer Science program at KAUST. Before joining KAUST, Ahmad obtained his Bachelor's degree in Computer Science from King Abdulaziz University, Saudi Arabia. Ahmad is also a KAUST Academy graduate from the AI track, having been under the supervision of Prof. Naeemullah Khan. The Academy provided him with seven opportunities to assist in teaching students enrolled in subsequent cohorts.

Saleh AlJazzar

Research Fellow at King Abdullah University of Science and Technology (KAUST) .

Muhammad Esmat

Visiting student at, King Abdullah University of Science and Technology (KAUST).

Yasser Jaber

Visiting Student Researcher ,Machine Learning Engineer at KAUST (King Abdullah University of Science and Technology).
Syed Abidullah Fareed

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahsan Mehmood

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

Abdulkarem Badiea Alshaibani

Visiting Student at the Information Science Lab at the King Abdullah University of Science and Technology (KAUST).

Emaad Manzoor has defended his master thesis

1 min read ·
Emaad Manzoor has defended his master thesis on "Scheduling Broadcasts in a Network of Timelines" and will join Stony Brook University for Ph.D.

InfoCloud has published a paper "Progress and challenges in bioinformatics approaches for enhancer identification" in Briefings in Bioinformatics 2015

1 min read ·
InfoCloud has published a paper "Progress and challenges in bioinformatics approaches for enhancer identification" in Briefings in Bioinformatics 2015.

Dimitrios Kleftogiannis has defended his Ph.D. thesis

1 min read ·
Dimitrios Kleftogiannis has defended his Ph.D. thesis "Identification of enhancers in human: Advances in computational studies."

CEMSE Big Data Open Day shows off fascinating discoveries

1 min read ·
The fifth-anniversary event marked CEMSE's biggest successes and featured 20 KAUST discoveries, with more than 1,000 visitors from the community attending the event."Big data has many applications: to understand medicine better; to manage food supplies, and to connect objects. Data is at the center of everything," said Dean Mootaz Elnozahy of the University's Computer, Electrical, Mathematical Science and Engineering (CEMSE) Division at the CEMSE Big Data Open Day held on December 4, 2016.

Peeling back the layers of deep machine learning

1 min read ·
A layer-based approach raises the efficiency of training artificial intelligence models.

Ibrahim Abdelaziz

Senior Research Scientist, IBM
Selected Publications Using Advanced Hidden Markov Models for online handwriting recognition. Ibrahim Hosny, Sherif Abdou, Aly Fahmy In Proceeding of Asian Conference of Pattern Recognition (ACPR), (2011) Large Vocabulary Arabic Online Handwriting Recognition. Ibrahim Hosny, Sherif Abdou, Aly Fahmy International Journal on Document Analysis and Recognition, (2014) Artificial Tutor for Arabic Handwriting Training. Sherif Abdou, Aly Fahmy, Ibrahim Hosny, Eman Mostafa In Proceedings of the Second International Conference on Arabic Language Resource, (2009) Education Profile 2013 - 2018: PhD

Fuad Jamour

Fuad Jamour is a Ph.D. student in InfoCloud Research Group (CLOUD) at King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Panagiotis Kalnis. Research Interests Fuad's research interests include Data Management and Machine Learning. Education Profile ​B.Sc. of Computer Engineering, University of Jordan, Amman, Jordan.

Emaad Ahmed Manzoor

Emaad Ahmed Manzoor obtained his M.S. degree in Computer Science under the supervision of Professor Panagiotis Kalnis at InfoCloud Research Group (CLOUD) in King Abdullah University of Science and Technology (KAUST) in 2016. Research Interests Emaad's research interests included Diffusion of information, influence in networks, Algorithms for machine learning and optimization on graphs. Education Profile MS Computer Science, King Abdullah University of Science and Technology (KAUST), Saudi Arabia (2013-2015). BE Computer Science, BITS - Pilani Goa Campus, India. (2008 - 2012) Professional

Dimitrios Kleftogiannis

Dimitrios Kleftogiannis obtained his Ph.D. degree in Computer Science under the supervision of Professor Panagiotis Kalnis at InfoCloud Research Group in King Abdullah University of Science and Technology (KAUST), in 2016. Research Interests Dimitrios works mostly on knowledge discovery technologies with applications in Bioinformatics and Computational Biology. ​His research interests include Machine Learning, Artificial Intelligence and Data Analysis of NGS-derived data. He has worked extensively on the prediction of distal DNA regulatory elements focusing on the category of enhancers. He is

Aritra Dutta

Aritra Dutta is a Postdoctoral Research Fellow at the Extreme Computing Research Center (ECRC) in King Abdullah University of Science and Technology (KAUST), working with Professor Panagiotis Kalnis in his research group. Prior to that, he was a Postdoctoral Research Fellow in the Optimization and Machine Learning group of Professor Peter Richtárik. Education and Early Career Aritra Dutta received his bachelor degree in Mathematics (Hons.), Minor in Physics and Statistics from Presidency College in Calcutta University. He obtained a master degree in Mathematics and Computing from Indian
<> artificial intelligence (12)

Making LLMs Agentic: How Tool Use and Synthetic Data Drive Real-World Intelligence

-

B2/3 L0 R0215

This talk presents advancements in agentic AI, focusing on creating and utilizing datasets and models that enable Large Language Models to effectively interact with external tools for real-world applications.
Najmeddine Dhieb

Najmeddine Dhieb

Yasmeen Alsaedy

M.S. Student, Computer Science
She is an AI researcher specializing in generative AI and deep learning. With a strong academic foundation and hands-on experience in machine learning, data science and artificial intelligence, she is passionate about advancing AI applications in real-world scenarios. She has contributed to cutting-edge projects, published research, and collaborated on innovative solutions that bridge the gap between AI theory and practice. Her expertise includes designing and implementing advanced data models, AI-driven visual/text computing, and deep learning architectures.

Yasser Jaber

Visiting Student Researcher ,Machine Learning Engineer at KAUST (King Abdullah University of Science and Technology).
Syed Abidullah Fareed

Syed Abidullah Fareed

Visiting Student (former), Information Science Lab

Ahmed Youssef Ragab Radwan

Visiting Student (former), Information Science Lab
Visiting student at the Information Science Lab, in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST)

Amin Allam (CEMSE PhD) wins the second prize in the DREAM Challenge 1B

1 min read ·
Amin Allam (CEMSE PhD student in the InfoCloud group) supervised by Prof Panos Kalnis has won the second prize in the AstraZeneca-Sanger Drug Combination Prediction DREAM Challenge 1B. Amin Allam utilized Bayesian inference to achieve the 2nd place.

AI learns complex gene-disease patterns

1 min read ·
A deep learning model improves the ability to identify genes potentially involved in disease.

Peeling back the layers of deep machine learning

1 min read ·
A layer-based approach raises the efficiency of training artificial intelligence models.

Dimitrios Kleftogiannis

Dimitrios Kleftogiannis obtained his Ph.D. degree in Computer Science under the supervision of Professor Panagiotis Kalnis at InfoCloud Research Group in King Abdullah University of Science and Technology (KAUST), in 2016. Research Interests Dimitrios works mostly on knowledge discovery technologies with applications in Bioinformatics and Computational Biology. ​His research interests include Machine Learning, Artificial Intelligence and Data Analysis of NGS-derived data. He has worked extensively on the prediction of distal DNA regulatory elements focusing on the category of enhancers. He is

Amin Allam

Amin Allam obtained his Ph.D. in Computer Science at the King Abdullah University of Science and Technology (KAUST) under the supervision of Prof. Panagiotis Kalnis in 2017. Amin is a lecturer in the Computer Science department, Faculty of Computers and Information, Cairo University, Egypt. He got his bachelor's degree in Computers and Information in 2003 from Cairo University. Then, he got a Master's degree titled "An Arabic-Disambiguating Engine Based on Statistical Approaches" in Computer Science from the same university in 2008. Research Interest Amin's research interests include

Ahmed El-Roby

Ahmed El-Roby obtained his M.S. degree in Computer Science under the supervision of Professor Panagiotis Kalnis at InfoCloud Research Group (CLOUD) in King Abdullah University of Science and Technology (KAUST). He got his Ph.D. in Computer Science from the David R. Cheriton School of Computer Science at the University of Waterloo. Currently, Ahmed is working as an Assistant Professor at the School of Computer Science at Carleton University in Ottawa, Ontario. Research Interests Ahmed's research interests included Data Integration, Automatic Linking, User Feedback, Artificial Intelligence, and
<> big data (8)

Exploring FPGAs for Virtualized In-Network Acceleration

Dr. Suhaib Fahmy, Associate Professor, Computer Engineering, University of Warwick, UK

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B2 B3 A0215

Abstract With increasing connectivity and reliance on machine intelligence to process ever-growing amounts of data, the question of how to arrange the required connectivity and computation arises. Traditional cloud computing approaches that centralize compute capability in a data center do not scale well to large scale distributed data sources that must then transmit data over constrained networks. Similarly, computing at the very edge of the network is often constrained by limited computational capacity and a lack of access to shared data. In-network computing has been proposed as a way of

In collaboration with QCRI and MIT, InfoCloud published a paper in SIGMOD 2015 on "BigDansing: A System for Big Data Cleansing"

1 min read ·
In collaboration with QCRI and MIT, InfoCloud published a paper in SIGMOD 2015 on "BigDansing: A System for Big Data Cleansing."

Zuhair Khayyat is presenting his work in XLDB 2016

1 min read ·
Zuhair Khayyat is presenting his work in XLDB 2016.

CEMSE Big Data Open Day shows off fascinating discoveries

1 min read ·
The fifth-anniversary event marked CEMSE's biggest successes and featured 20 KAUST discoveries, with more than 1,000 visitors from the community attending the event."Big data has many applications: to understand medicine better; to manage food supplies, and to connect objects. Data is at the center of everything," said Dean Mootaz Elnozahy of the University's Computer, Electrical, Mathematical Science and Engineering (CEMSE) Division at the CEMSE Big Data Open Day held on December 4, 2016.

Querying big data just got universal

1 min read ·
A universal query engine for big data that works across computing platforms could accelerate analytics research.

AI learns complex gene-disease patterns

1 min read ·
A deep learning model improves the ability to identify genes potentially involved in disease.

Zuhair Yarub Khayyat

Zuhair Yarub Khayyat obtained his Ph.D. degree in Computer Science under the supervision of Professor Panagiotis Kalnis at InfoCloud Research Group (CLOUD) in King Abdullah University of Science and Technology (KAUST) in 2016. Research Interest Zuhair's research interests included Big Data Management, Parallel and distributed data processing, Cloud Computing and Graph Analytics. His main experience was focused on problem-solving and algorithm development for processing large data in distributed environments. He is a reliable team player with a methodological mindset with the ability to utilize

Ruogu Ding

Ruogu Ding obtained his Master's Degree in Computer Science under the supervision of Professor Panagiotis Kalnis at InfoCloud Research Group (CLOUD) in King Abdullah University of Science and Technology (KAUST). Prior to that, Ruogu received his Bachelor's degree in Computer Science from Peking University in July 2009. He worked as a research assistant on large-scale sequence assembly algorithms 2009-2010 at Peking University. Ruogu is currently serving as a Technology Partner at MiningLamp, a fast-growing startup aiming to provide enterprises with big data solutions. He worked on Algorithm
<> Deep learning (7) <> Computer science (6)

InfoCloud has published a paper "Progress and challenges in bioinformatics approaches for enhancer identification" in Briefings in Bioinformatics 2015

1 min read ·
InfoCloud has published a paper "Progress and challenges in bioinformatics approaches for enhancer identification" in Briefings in Bioinformatics 2015.

Divide and conquer pattern searching

1 min read ·
Searching for recurring patterns in network systems has become a fundamental part of research and discovery in fields as diverse as biology and social media. KAUST researchers have developed a pattern or graph-mining framework that promises to significantly speed up searches on massive network data sets. “A graph is a data structure that models complex relationships among objects,” explained Panagiotis Kalnis, leader of the research team from the KAUST Extreme Computing Research Center. “Graphs are widely used in many modern applications, including social networks, biological networks like

Querying big data just got universal

1 min read ·
A universal query engine for big data that works across computing platforms could accelerate analytics research.

AI learns complex gene-disease patterns

1 min read ·
A deep learning model improves the ability to identify genes potentially involved in disease.

Peeling back the layers of deep machine learning

1 min read ·
A layer-based approach raises the efficiency of training artificial intelligence models.

Razen Al Harbi

Razen Al Harbi obtained his Ph.D. degree in Computer Science under the supervision of Professor Panagiotis Kalnis at InfoCloud Research Group (CLOUD) in King Abdullah University of Science and Technology (KAUST) in 2016. Research Interests Razen's research interests included ​Large scale data management with an emphasis on managing and querying large-scale graphs. Selected Publications Ali H. Dogru, Larry S. K. Fung, Usuf M, Tareq M. Al-Shaalan, Jorge A. Pita, K. Hemanthkumar, H. J. Su, James C. Tan, H. Hoy, W. T. Dreiman, W. A. Hahn, R. Al-Harbi, A. Al-Youbi, N. M. Al-Zamel, M. Mezghani “A
<> Computer Vision (6)

Abdelrahman Eldesokey

Postdoctoral Research Fellow
I am a Postdoctoral Fellow at KAUST, Saudi Arabia, specializing in Generative AI and conducting research on advanced topics in Generative and Large Language Models (LLMs). I bring over 11 years of combined academic and industrial experience in Computer Vision and Deep Learning across Sweden, Egypt, and Saudi Arabia.
Najmeddine Dhieb

Najmeddine Dhieb

Karen Sanchez

Postdoctoral Research Fellow
Karen Sanchez is a Postdoctoral Researcher in the IVUL lab at KAUST, specializing in deep learning, machine learning, and artificial intelligence (AI) for healthcare applications. Her research focuses on video understanding, domain adaptation, generative AI, and methods for preserving patient privacy.

Aznaur Aliev

M.S. Student

Hani A. Al Majed

M.S. Student
Electrical and Computer Engineering Master's student at KAUST under the supervision of Professor Bernard Ghanem, with expertise in machine learning workflow automation, physics-informed neural operators, and AI for Science, particularly in chemistry applications. Passionate about leveraging AI to solve complex scientific problems.

Ahmad Sait

M.S. Student, Computer Science
Ahmad Sait is a Master's student in the Computer Science program at KAUST. Before joining KAUST, Ahmad obtained his Bachelor's degree in Computer Science from King Abdulaziz University, Saudi Arabia. Ahmad is also a KAUST Academy graduate from the AI track, having been under the supervision of Prof. Naeemullah Khan. The Academy provided him with seven opportunities to assist in teaching students enrolled in subsequent cohorts.
<> bioinformatics (5)

InfoCloud published in the VLDB Journal a paper "ACME: A scalable parallel system for extracting frequent patterns from a very long sequence"

1 min read ·
InfoCloud published in the VLDB Journal a paper "ACME: A scalable parallel system for extracting frequent patterns from a very long sequence."

InfoCloud has published a paper "Karect: accurate correction of substitution, insertion and deletion errors for next-generation sequencing data" in Bioinformatics

1 min read ·
InfoCloud has published a paper "Karect: accurate correction of substitution, insertion and deletion errors for next-generation sequencing data" in Bioinformatics

InfoCloud has published a paper "Progress and challenges in bioinformatics approaches for enhancer identification" in Briefings in Bioinformatics 2015

1 min read ·
InfoCloud has published a paper "Progress and challenges in bioinformatics approaches for enhancer identification" in Briefings in Bioinformatics 2015.

Dimitrios Kleftogiannis has defended his Ph.D. thesis

1 min read ·
Dimitrios Kleftogiannis has defended his Ph.D. thesis "Identification of enhancers in human: Advances in computational studies."

Dimitrios Kleftogiannis

Dimitrios Kleftogiannis obtained his Ph.D. degree in Computer Science under the supervision of Professor Panagiotis Kalnis at InfoCloud Research Group in King Abdullah University of Science and Technology (KAUST), in 2016. Research Interests Dimitrios works mostly on knowledge discovery technologies with applications in Bioinformatics and Computational Biology. ​His research interests include Machine Learning, Artificial Intelligence and Data Analysis of NGS-derived data. He has worked extensively on the prediction of distal DNA regulatory elements focusing on the category of enhancers. He is
<> cloud computing (5)

Exploring FPGAs for Virtualized In-Network Acceleration

Dr. Suhaib Fahmy, Associate Professor, Computer Engineering, University of Warwick, UK

-

B2 B3 A0215

Abstract With increasing connectivity and reliance on machine intelligence to process ever-growing amounts of data, the question of how to arrange the required connectivity and computation arises. Traditional cloud computing approaches that centralize compute capability in a data center do not scale well to large scale distributed data sources that must then transmit data over constrained networks. Similarly, computing at the very edge of the network is often constrained by limited computational capacity and a lack of access to shared data. In-network computing has been proposed as a way of

Zuhair Khayyat is presenting his work in XLDB 2016

1 min read ·
Zuhair Khayyat is presenting his work in XLDB 2016.

Zuhair Yarub Khayyat

Zuhair Yarub Khayyat obtained his Ph.D. degree in Computer Science under the supervision of Professor Panagiotis Kalnis at InfoCloud Research Group (CLOUD) in King Abdullah University of Science and Technology (KAUST) in 2016. Research Interest Zuhair's research interests included Big Data Management, Parallel and distributed data processing, Cloud Computing and Graph Analytics. His main experience was focused on problem-solving and algorithm development for processing large data in distributed environments. He is a reliable team player with a methodological mindset with the ability to utilize

Karim Awara

Karim Awara obtained his Master's Degree in Computer Science under the supervision of Professor Panagiotis Kalnis from King Abdullah University of Science and Technology. Research Interests Karim's research interests included the Database and High-Performance Computing field. Awards and Distinctions Awarded, internationally, as one of the best 5 teams in SIGMOD 2010 contest for developing high multi-query optimization techniques. And presented the work at SIGMOD conference, June 2010 in Indianapolis, IN, USA. Rewarded as one of the top four teams in Egypt in a software Engineering competition

Essam Mansour

Postdoctoral Research Fellow, ‌InfoCloud
Essam Mansour was a Postdoctoral Research Fellow at InfoCloud Research Group (CLOUD) at King Abdullah University of Science and Technology (KAUST), worked with Professor Panagiotis Kalnis. He contributed to research activities of the KAUST InfoCloud Research Group including leading a research project aiming at developing an elastic database system for processing very large strings based on the cloud infrastructure. This system is to support scientific data management, as a data-intensive application. Prior to joining KAUST, Essam was a Research Associate at the School of Information Technology
<> AI (4) <> algorithm (4) <> infoclouds (4) <> optimization (4)

Chaabane Mankai

Surrounded by bright minds and groundbreaking research, KAUST is a great place to learn and grow.

Ahmed Youssef Ragab Radwan

Visiting Student (former), Information Science Lab
Visiting student at the Information Science Lab, in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST)

Use Mathematics and get a SPARQL Query Engine (almost) for Free! It’s MAGiQ!

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B9 L2 H1 R2322

Existing RDF engines are designed for specific hardware architectures; porting to a different architecture (e.g., GPUs) entails enormous implementation effort. We explore sparse matrix algebra as an alternative for designing a portable, scalable and efficient RDF engine.

El Houcine Bergou

Postdoctoral Research Fellow, ‌InfoCloud
As of January 2019, El Houcine Bergou is a Postdoctoral Research Fellow at Extreme Computing Research Center (ECRC) in King Abdullah University of Science and Technology (KAUST), working with Professor Panagiotis Kalnis in his research group. Prior to this, he spent a year as a Postdoctoral Research Fellow in the Optimization and Machine Learning group of Professor Peter Richtárik. Education and Early Career Dr. Bergou has a PhD degree in numerical methods for least squares problems with application to data assimilation from the National Institute of Posts and Telecommunications (INPT) in
<> Signal processing (4) <> algorithms (3)

Ruogu Ding

Ruogu Ding obtained his Master's Degree in Computer Science under the supervision of Professor Panagiotis Kalnis at InfoCloud Research Group (CLOUD) in King Abdullah University of Science and Technology (KAUST). Prior to that, Ruogu received his Bachelor's degree in Computer Science from Peking University in July 2009. He worked as a research assistant on large-scale sequence assembly algorithms 2009-2010 at Peking University. Ruogu is currently serving as a Technology Partner at MiningLamp, a fast-growing startup aiming to provide enterprises with big data solutions. He worked on Algorithm

Amin Allam

Amin Allam obtained his Ph.D. in Computer Science at the King Abdullah University of Science and Technology (KAUST) under the supervision of Prof. Panagiotis Kalnis in 2017. Amin is a lecturer in the Computer Science department, Faculty of Computers and Information, Cairo University, Egypt. He got his bachelor's degree in Computers and Information in 2003 from Cairo University. Then, he got a Master's degree titled "An Arabic-Disambiguating Engine Based on Statistical Approaches" in Computer Science from the same university in 2008. Research Interest Amin's research interests include

Ahmed El-Roby

Ahmed El-Roby obtained his M.S. degree in Computer Science under the supervision of Professor Panagiotis Kalnis at InfoCloud Research Group (CLOUD) in King Abdullah University of Science and Technology (KAUST). He got his Ph.D. in Computer Science from the David R. Cheriton School of Computer Science at the University of Waterloo. Currently, Ahmed is working as an Assistant Professor at the School of Computer Science at Carleton University in Ottawa, Ontario. Research Interests Ahmed's research interests included Data Integration, Automatic Linking, User Feedback, Artificial Intelligence, and
<> haps (3)

Bang Huang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Bang Huang works as a postdoctoral fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Bang Huang received the M.S. degree (with honors) in electrical engineering and Ph.D degree in information and communication engineering from the School of Information and Communication Engineering (SICE), University of Electronic Science and Technology of China (UESTC), Chengdu, China, in

Xiaowei Pang

Postdoctoral Research Fellow, Electrical and Computer Engineering
Xiaowei Pang is currently a Postdoctoral Research Fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), working with Professor Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Xiaowei Pang received her B.S. degree in Telecommunication Engineering from Northwestern Polytechnical University, Xi'an, China, in 2018, and her Ph.D. degree in Information and Communication Engineering from Dalian University of Technology, Dalian, China, in 2024. From 2021 to 2022
H

Hussein Al-Shatri

I chose KAUST because of its reputation for excellence in research and its recent emphasis on applied research. With my extensive background in both academic research and industrial development, I am excited to contribute my experience and ambition. My goal is to foster new ideas and develop innovative prototypes in the field of wireless communications, which will undoubtedly enhance people's lives.
<> LiDAR (3)

Xiaoyi Song

Xiaoyi Song received his Bachelor's degree in Electronic Science and Technology from the University of Electronic Science and Technology of China (UESTC) in 2022 and is currently pursuing a Master's degree at UESTC. Before joining KAUST, he engaged in research on magneto-optical integration and integrated photonics for three years. His research experience encompasses the deposition, design, and characterization of magneto-optical materials and photonic devices, including phase shifters and nonreciprocal components such as optical circulators. He has published a research paper in Photonics

Hongyan Yu

Postdoctoral Research Fellow, Electrical and Computer Engineering
Dr. Hongyan Yu is a Postdoctoral Fellow at the Integrated Photonics Laboratory (IPL) under the supervision of Prof. Yating Wan at King Abdullah University of Science and Technology (KAUST). Before joining KAUST, he received his B. S. degree in Material Physics from Harbin University of Science and Technology, in 2015, and M. Sc. degree in Optical Engineering from Beijing University of Technology, in 2019. He earned his Ph.D degree in Optical Engineering from Zhejiang University - Westlake University joint program, in 2023. Prior to joining IPL, Dr. Yu was a postdoctoral scholar at Hangzhou

Saud Alabdulal

Saud received his bachelor's degree in 2023 in Physics from King Fahad University of Petroleum and minerals (KFUPM). He is currently working towards a master’s degree under the supervision of Prof. Yating Wan at King Abdullah University of Science and Technology (KAUST). Research interests Saud’s research interests are in applications of integrated photonics for optical computing and LiDAR Education profile B.Sc.: King Fahad University of Petroleum and minerals (KFUPM) 2018-2023.
<> MATLAB (3) <> Reinforcement Learning (3) <> supercomputing (3) <> AI4Science (2) <> Computational biology (2) <> computational methods (2) <> data management (2) <> data mining (2) <> Frequent subgraph mining (2) <> Generative AI and LLMs (2) <> healthcare (2) <> infocloud (2) <> IoT (2) <> ISAC (2) <> Large Language Models (2) <> Localization (2) <> Network Design (2) <> Non-Terrestrial Networks (2) <> Programming language (2) <> quantum communication (2) <> SIGMOD (2) <> Wireless Communications (2) <> 5G networks (1) <> 6G On-chip reconfigurable intelligent surface (1) <> 6G On-chip reconfigurable transmitarray and phased array (1) <> 6g wireless systems (1) <> accelerators (1) <> Action Recognition (1) <> Action understanding (1) <> adaptive control (1) <> Adaptive Optics (1) <> Aerial Robotics (1) <> AI for healthcare (1) <> ambit fields (1) <> applied mathematics (1) <> Arabic NLP (1) <> automatic tuning mechanism (1) <> beamforming (1) <> biomechanics (1) <> Biomedical Signal Processing (1) <> bioscience (1) <> biotechnology (1) <> BLE communication (1) <> calculus of variations (1) <> Cellular Networks (1) <> Chaos Shift Keying (1) <> cloud- and fog-radio access networks (1) <> communication (1) <> communication networks (1) <> communication systems (1) <> Compressed Sensing Approach (1) <> computational bioscience (1) <> computer networks (1) <> computing (1) <> Continual Learning (1) <> convex optimization (1) <> Cooperative networks (1) <> CPU (1) <> cross-layer optimization (1) <> Cultural Understanding (1) <> cybersecurity (1) <> data analysis (1) <> Data Analyst (1) <> data centers (1) <> data integration (1) <> Deep generative models (1) <> development (1) <> Diffusion Models (1) <> Digital Communications (1) <> Digital signal processing (1) <> discrete time series (1) <> distributed systems (1) <> Dynamical Systems (1) <> Electron Transport (1) <> embedded systems (1) <> Embedded systems. (1) <> energy efficiency (1) <> epigenetics (1) <> extreme-value theory (1) <> FDA-MIMO Radar (1) <> fluid dynamics (1) <> FPGA (1) <> free boundary problems (1) <> FSO/RF Systems (1)