Profiles

Silvio Giancola received his Master Degree in Mechatronics Engineering Institut National des Sciences Appliquées (INSA), Strasbourg in France in 2012. He has a Ph.D. in Mechanical Engineering from Politecnico di Milano, Milano, Italy.

Before joining KAUST, Silvio had academic experience in Politecnico di Milano in Italy. He was a teaching assistant for undergraduate and graduate students in Industrial and Information Engineering School, Politecnico di Milano in Italy from 2014 until 2017. In addition to teaching, he was a Research Fellow who later on became a Postdoctoral Fellow.

At KAUST, Silvio was a Postdoctoral Fellow from 2017 to 2020, then became a Research Scientist since 2020. In 2022, Silvio co-founded the start-up Thya Technology, with which he won the TAQADAM accelerator program.

Silvio Giancola is mainly interested in Computer Vision, Deep learning, Sports, and Robotics.

• Digital Signal Processing & algorithms.
• Low sampling & low complexity systems.
• Image Processing.
• Ultra-wideband (UWB) sensing and communications.
• UWB channel impulse response estimation.
• Acoustic sensing and communications.
• Sonars and radars.
• Movement detection and tracking using RF and acoustic waves.
• Respiration detection and tracking.
• Robust estimation and regularization.
• Experimentation and testing.

Tien Khee Ng (Fellow of IET and InstP) is a principal research scientist and a laboratory-operation-manager of the Photonics Laboratory at King Abdullah University of Science and Technology (KAUST), Saudi Arabia. He co-established the Photonics Laboratory (2009-) and KACST Technology Innovation Center on Solid-State Lighting at KAUST (2013-2021), and currently focuses on molecular-beam-epitaxy-grown group-III-oxides photonics/electronics and quantum-devices. He was a research fellow and a member-of-technical-staff at Nanyang Technological University and Tinggi Technologies (Singapore), respectively, developing group-III-arsenide, -phosphide, -antimonide and - nitride semiconductor nanostructures and optoelectronic devices. He was an associate editor of digital Encyclopedia of Applied Physics (July 2018–June 2023).

Semiconductor photonics, Multistack membrane semiconductor; Quantum photonic integrated circuits; Optoelectronic devices for optical wireless communication

PhD from Peking University in 2021; Research Scientist in JD Explore Academy from 2021 to 2023.

machine learning, large language/vision models, trustworthiness

• 2018 - Present Research Specialist, Robotics, Intelligent Systems & Control Lab, KAUST, KSA
• 2015 - 2018 Instructor, School of Science and Technology, Nazarbayev University, Kazakhstan
• 2013 - 2015 Research Assistant, National Laboratory Astana, Nazarbayev University, Kazakhstan
• 2013 Project Administrator, Nazarbayev University, Kazakhstan
• 2012 - 2013 Teaching Assistant, Nazarbayev University, Kazakhstan

• Autonomous and Intelligent Systems​
• Robotics
• Drones
• Deep Learning

Najmeddine Dhieb received the Diplôme d’Ingénieur in Telecommunication Engineering—with honors— the École Supérieure des Communications de Tunis (SUP’COM), Tunisia, in 2019. That same year, he worked as a Research Assistant at the Smart City Lab within the School of Systems and Enterprises at Stevens Institute of Technology in Hoboken, NJ, USA.
Currently, Najmeddine contributes his expertise as a Research Engineer at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia, after serving as a Senior Data Scientist at Bdeo Technologies S.L. in Madrid, Spain. His work focuses on the intersection of Artificial Intelligence, Computer Vision, Internet-of-Things, Edge-Computing, and Blockchain, where he develops practical solutions for emerging digital challenges.

Najmeddine's research focuses on the following areas:

• Artificial intelligence
• Data science
• Computer vision
• Edge computing
• Blockchain

Aijaz H. Lone is a PhD candidate Integrated Intelligent Systems I2S group, under the guidance of Professor Gianluca Setti at King Abdullah University of Science and Technology (KAUST), I'm dedicated to pushing the boundaries of spintronic innovation. With a background in electrical and computer engineering from the Indian Institute of Technology (IIT-M), I've developed a passion for advancing spintronic devices for data storage and neuromorphic applications.

As a PhD candidate Integrated Intelligent Systems I2S group, under the guidance of Professor Gianluca Setti at King Abdullah University of Science and Technology (KAUST), I'm dedicated to pushing the boundaries of spintronic innovation. With a background in electrical and computer engineering from the Indian Institute of Technology (IIT-M), I've developed a passion for advancing spintronic devices for data storage and neuromorphic applications.

During my Ph.D., I focused on simulating and experimentally realizing spintronic devices tailored for neuromorphic (brain-inspired) computing. This includes advanced spintronic memories that emulate synapse and spiking neuron functionalities. By integrating these devices, I have explored their potential in implementing artificial neural networks (ANNs) and spiking neural networks (SNNs) at both circuit and system levels, aiming to improve the computational paradigms.

As a researcher, I bring expertise in modeling, simulations, and experimental realization to the table. My focus
lies in pioneering spintronic technologies like magnetic tunnel junctions (MTJs), domain wall devices, and
magnetic skyrmionic devices – all with the goal of revolutionizing AI and machine learning.

Through my research, I aim to bridge the gap between theoretical understanding and practical implementation, driving the development of novel spintronic-based solutions for AI.

Andres Villa received a bachelor's in Electronic Engineering at Universidad del Norte in Barranquilla, Colombia, in 2017. Moreover, he received his PhD in Computer Science at Pontifical Catholic University in 2023 in Santiago, Chile. Before joining KAUST, Andres was a teaching assistant for undergraduate and graduate students in the Engineering department at Pontifical Catholic University in Chile from 2019 until 2024. He was teaching subjects such as Deep Learning and AI Applications (VQA, Image Captioning, and Video Understanding). Andres was a Research Intern at IVUL from June 2021 to June 2022.

Andres focuses on Computer Vision, Continual Learning, Video Understanding, and Visual Language Models.

Biswarup Mukherjee holds a B.Tech. in Electrical Engineering from the University of Calcutta and an M.Sc. in Electrical Engineering from Grenoble Institute of Technology (Grenoble INP), while completing his M.Sc. thesis at the KTH Royal Institute of Technology in Sweden. In 2023, he received a Ph.D. in Energy and Process Engineering from Université Paris Sciences et Lettres (PSL) with a thesis on "Optimization Methods for Scheduling the Charge of Electric Vehicles and Planning their Charging Infrastructure."

Currently, he is a Postdoctoral Fellow at the CEMSE Division of King Abdullah University of Science and Technology (KAUST) in Saudi Arabia. Prior to joining KAUST, he was a Postdoctoral Researcher at Alliance Sorbonne Université - University of Technology of Compiègne (UTC) in France.

Charalampos Antoniadis received a Diploma degree (Hons.) in Computer and Communication Engineering, an M.S. degree in Computer Science, and a Ph.D. in Electrical and Computer Engineering from the University of Thessaly, Volos, Greece, in 2011, 2014, and 2019, respectively. He is currently a Postdoctoral Fellow in the Computer, Electrical, and Mathematical Sciences and Engineering (CEMSE) Division at King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia. Before joining KAUST, he served as an Adjunct Lecturer at the University of Thessaly for one year.

Dr. Antoniadis was awarded an M.Sc. study fellowship by the University of Thessaly and the Hellenic Foundation for Research and Innovation (HFRI) fellowship for his Ph.D. studies. Additionally, he led a student team that won the First Place Award in the ACM TAU 2020 and TAU2 2021 timing analysis contests.

Charalampos's research focuses on the following areas:

• Efficient AI
• Generative AI and LLMs
• Smart city applications
• Electronic Design Automation

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. She earned her PhD in Engineering, MSc in Electronic Engineering, and a Bachelor’s degree in Energy Engineering in Colombia.

Her research interests include video understanding, domain adaptation, generative AI, and preserving patient privacy, with a focus on deep learning, machine learning, and artificial intelligence for healthcare applications.

Khalil obtained a bachelor of science degree in electromechanical engineering (with honor) in 2013 and a master of science in robotics in 2014 from the National Engineering School of Sfax (ENIS), Tunisia.

Khalil's Ph.D. research work is about "Miniaturized Drug Delivery Systems for Biomedical Applications" and his research interests include Drug Delivery Systems, Micropumps, Biomedical Devices, Bioengineering, and MEMS.

Meng Tang earned his bachelor’s degree in applied physics and his Ph.D. in physics from Tongji University. In December 2022, he joined the Physical Science and Engineering Division at King Abdullah University of Science and Technology (KAUST) as a postdoctoral fellow under the supervision of Professor Xixiang Zhang. In March 2024, he transitioned to the Computer, Electrical and Mathematical Sciences and Engineering Division at KAUST, where he now works as a postdoctoral fellow under the supervision of Professor Gianluca Setti.

Meng Tang's research interests include spin-orbit torque (SOT) effects and spin transport, SOT-driven magnetization switching, SOT-based MRAM, spintronics-based neuromorphic computing and hardware security primitives, and superconducting spintronics. His areas of expertise encompass thin film deposition techniques (such as magnetron sputtering and pulsed laser deposition), nanofabrication methods (including lithography and ion milling), vibrating sample magnetometer (VSM), electrical transport measurements, harmonic Hall voltage measurements for SOT, current-driven magnetization switching measurements, spin-torque ferromagnetic resonance (ST-FMR), magneto-optical Kerr effect (MOKE) microscopy, X-ray reflection (XRR), and X-ray diffraction (XRD). Additionally, he is proficient in LabVIEW programming for measurement automation.

• Statistical signal processing .
• Signal  application .
• OFDM systems..
• Random matrix theory
• Discriminant analysis.