From Edge to Intelligence: Light-Driven Synaptic Devices for Adaptive Healthcare and Vision Systems Dayanand Kumar, Postdoctoral Research Fellow, Electrical and Computer Engineering Dec 7, 12:00 - 13:00 B9, L2, R2325 IoT light-driven synaptic devices The Internet of Things (IoT) is driving a new generation of smart edge devices that combine sensing, computing, and learning capabilities at extremely low power. By leveraging 3D integration, these devices achieve remarkable miniaturization while boosting performance and energy efficiency. This seminar presents a flexible, back-end-of-line compatible optoelectronic synapse developed for neuromorphic edge computing. The device features light-tunable synaptic plasticity and ultra-low energy operation, enabling adaptive learning for personalized healthcare monitoring and intelligent vision systems. This technology opens exciting pathways toward next-generation wearable and bio-inspired computing platforms.
Will AI Replace Professors? Pavel Pevzner, Ronald R. Taylor Chair and Distinguished Professor, Computer Science and Engineering, University of California, San Diego Dec 4, 12:00 - 13:00 B2/B3 A0215 This talk explores Massive Adaptive Interactive Texts (MAITs) as a pioneering AI technology that aims to replace the one-size-fits-all lecture model with a responsive and scalable system for individualized instruction.
Probabilistic Modelling and Analysis of Power System Dynamics and Stability Kazi N. Hasan, Senior Lecture, School of Engineering, RMIT University, Australia Nov 30, 12:00 - 13:00 B9 L2 R2325 power grid This presentation will demonstrate the most widely used probabilistic methods applied to power system stability analysis with their specific applications in frequency stability, small-disturbance stability, transient stability, and voltage stability.
Robust Locomotion of Legged Robots with Closed-Loop Guarantees Mohamed Elobaid, Research Scientist, Electrical and Computer Engineering Nov 23, 12:00 - 13:00 B9 L2 R2325 This talk presents a predictive control framework allowing general legged robots to walk robustly, and describes its validation results on both humanoids and quadrupeds.
Modeling, Analysis, and Control for Planning and Operation of Modern Mixed-Generation Power Systems Otavio Bertozzi, Ph.D. Student, Electrical and Computer Engineering Nov 19, 09:30 - 10:30 B5, L5, R5209 mixed-generation power systems stability-aware modeling data-driven planning and operation renewable energy integration This dissertation presents an interpretable framework for modeling, planning, and control of mixed-generation power systems, integrating ternary stability-aware planning, reinforcement learning-based control tuning, and data-driven stability forecasting to bridge analytical models with real-time operation in converter-dominated grids.
Aligning the “Socio” in Socio-Technical Control: Trustworthy, Fair, and Efficient Resource Allocation with Karma Economies Ezzat Elokda, Postdoctoral Researcher, Information Technology and Electrical Engineering, ETH Zurich Nov 16, 12:00 - 13:00 B9 L2 R2325 This talk introduces karma economies, a novel class of non-monetary mechanisms that leverage the repeated and dynamic nature of many socio-technical resources to allocate them in a trustworthy, fair, and efficient manner.
6th KAUST 6G Summit Nov 10, 00:00 - Nov 12, 17:00 Virtual 6G 6G and Beyond KAUST's annual summit on emerging 6G technologies and applications.
Enabling Next Generation Wireless Communication through mm-Wave Reconfigurable Intelligent Surface (RIS) Atif Shamim, Program Chair, Electrical and Computer Engineering Nov 9, 12:00 - 13:00 B9, L2, R2325 Next Generation Wireless Communication Systems 5G and beyond Reconfigurable Intelligent Surfaces The mm-wave 5G and beyond communication systems significantly improve the data rate, user capacity, and latency, however, the electromagnetic (EM) wave propagation suffers from high atmospheric attenuation as compared to the sub-6 GHz bands. Therefore, the quality of wireless communication gets severely affected in an environment where multiple obstacles, such as buildings and trees, are present, and thus, communication coverage is typically limited to line of sight (LOS).
Urban Air Mobility Communications: Performance Analysis and Design Abdullah Abu Zaid, Ph.D. Student, Electrical and Computer Engineering Nov 3, 14:00 - 16:00 B1 L2 2202 urban air mobility communications wireless communication This dissertation develops a foundation for designing robust and reliable communication systems for urban air mobility (UAM), supporting the anticipated large-scale deployment of UAM in smart cities.
Performance Analysis for High Altitude Platform Station-Assisted Wireless Communication Networks Zhengying Lou, Ph.D. Student, Electrical and Computer Engineering Nov 2, 16:00 - 17:30 B1, L3, R3123 high altitude platform stations Non-Terrestrial Networks wireless communication networks High altitude platform stations (HAPS) have recently emerged as a pivotal stratospheric segment within the broader non-terrestrial network (NTN) ecosystem, offering a promising solution for enhancing coverage, reliability, and efficiency in next-generation wireless networks. This thesis presents a comprehensive investigation into the architecture, performance, and integration of HAPS-assisted wireless communication networks from multiple perspectives.
Cybersecurity Threats to Power Grid Operations from the Demand-Side Response Ecosystem Subhash Lakshminarayana, Associate Professor, School of Engineering, University of Warwick, UK Nov 2, 12:00 - 13:00 B9, L2, R2325 This talk will highlight the cybersecurity threats from IoT-enabled energy smart appliances (ESAs) such as smart heat pumps, electric vehicle chargers, etc., to power grid operations.
Integrated Silicon Photonics with Quantum Dot On-Chip Lasers Yating Wan, Assistant Professor, Electrical and Computer Engineering Oct 26, 12:00 - 13:00 B9, L2, R2325 Integrated silicon photonic has emerged as a leading solution for scalable, power-efficient, and environmentally friendly applications. This talk will focus on the prospects and applications of on-chip lasers, a critical component driving the advancement of photonic integrated circuits (PICs). We will discuss various approaches to integrating lasers on silicon and their applications in optical communication, computing, and LiDAR, with a particular emphasis on heterogeneous integration of quantum dot (QD) lasers. QD lasers offer unique advantages, including high immunity to reflection, superior thermal stability, low threshold, and long-term reliability, making them ideal for high-speed optical interconnects, AI-driven computing, and quantum photonic systems. By leveraging the defect tolerance and temperature resilience of QDs, we achieve high-performance, energy-efficient integration with silicon photonics. This talk will highlight recent breakthroughs in QD-on-silicon integration, performance optimizations, and future directions toward heterogeneous photonic systems, paving the way for a new generation of high-speed, low-energy, and scalable optical circuits for next-generation applications.
Learning-Based Observer Design for Nonlinear Systems with Convergence Guarantees Yasmine Marani, Ph.D. Student, Electrical and Computer Engineering Oct 14, 10:00 - 12:00 B3 L5 R5220 This thesis advances nonlinear estimation by proposing learning-based nonlinear observers with convergence guarantees. The proposed approaches overcome the limitations of the existing methods by being applicable to a wide range of nonlinear systems while providing global convergence guarantees. Furthermore, the developed observers are robust to disturbances, sensor delay, and measurement noise.
KAUST Robotics Bay Inauguration Oct 13, 14:00 - 15:30 B5 L2 R2800 robotics autonomous systems Mechatronics Multi-agent systems Join us for the Robotics Bay inauguration at KAUST.
Phase-Change Memory for In-Memory Computing Ghazi Sarwat Syed, Research Staff Member, IBM Research, Switzerland Oct 12, 12:00 - 13:00 B9, L2, R2325 This talk, structured as a tutorial, will elucidate the core principles of In-memory computing (IMC), showing how the physical properties and inherent organization of memory devices can help overcome the limitations of conventional data processing architectures.
Silicon-Based mm-Wave Phased-Arrays for 5G/6G and SATCOM Abdulrahman Alhamed, Assistant Professor, Electrical and Computer Engineering Oct 5, 12:00 - 13:00 B9, L2, R2325 The rapid growth of data-intensive applications is creating unprecedented challenges and opportunities in telecommunications. With 5G already leveraging mmWave spectrum and 6G targeting peak data rates approaching 1 Tbps, future networks will demand even broader spectrum allocations across the mmWave and sub-THz bands. Affordable phased arrays have emerged as a cornerstone of this evolution, offering directive communication to overcome severe free-space path loss while enabling narrow beamwidths, high interference tolerance, and adaptive nulling.
Programmable Matter: Liquid Metal for Reconfigurable Electronics and Logic Wedyan Babatain, Ibn Rushd Postdoctoral Scholar at Massachusetts Institute of Technology (MIT) Media Lab Sep 28, 12:00 - 13:00 B9 L2 R2325 liquid metal Liquid metal (LM) represents a unique class of programmable matter that combines electrical conductivity with dynamic deformability, enabling the development of reconfigurable electronics and embodied computation. This seminar will discuss electric field-driven control of LM shape and position to achieve tunable, directional LM droplet motion.
Forays into modular drones: Sierpinsky tetrahedra, dodecahedra, and Alexander Graham Bell Eric Feron, Professor, Electrical and Computer Engineering Sep 21, 12:00 - 13:00 B9 L2 R2325 modular drons Modular drones offer attractive options for addressing demanding mission requirements without having to build monolithic and large machines. Several such drones have been designed, built, and flown at Georgia Tech's Decision and Control (DCL) laboratory and KAUST's Robotics, Intelligent Systems, and Control (RISC) laboratory. These drones attempt to address some of the perceived weaknesses of prior industrial and academic designs, including lack of structural integrity and possible identity confusion among the modules. Coincidentally, some of the designs echo the fractal kites designed by Alexander Graham Bell more than a century ago and still built and flown today.
Geometric Sensor Fusion for Pose Estimation on Riemannian Manifolds Mohammed Hussain AlSharif, Postdoctoral Research Fellow, California Institute of Technology (Caltech) Sep 18, 11:00 - 12:00 B1 L3 R3119 This seminar introduces a novel geometric sensor fusion framework that integrates inertial measurements with acoustic ranging on Riemannian manifolds to achieve robust, high-accuracy pose estimation for autonomous systems in GPS-denied environments.
Mohammed Hussain AlSharif, Postdoctoral Research Fellow, California Institute of Technology (Caltech)
Optical Frequency Combs: From Conventional Techniques to Emerging Approaches Aram Mkrtchyan, Postdoctoral Research Fellow, Electrical and Computer Engineering Sep 14, 12:00 - 13:00 B9 L2 R2325 Optical frequency combs-optical spectra consisting of many equidistant lines — are powerful tools in modern photonics. The advancements in optical frequency comb generation using high-quality microring resonators (MRRs) have given rise to numerous breakthroughs in metrology, spectroscopy, communications, as well as in quantum computing, quantum data processing, and quantum sources. Under the right conditions, MRRs support dissipative cavity solitons: short optical pulses that circulate in the resonator while maintaining their shape thanks to a balance of dispersion, nonlinearity, gain, and loss.
Innovative Multi-Band Antenna Designs for Internet of Sea Applications Hanguang Liao, Ph.D. Student, Electrical and Computer Engineering Sep 8, 14:00 - 16:00 B2, L5, R5209 Monitoring the ocean environment is essential for understanding climate change, protecting marine biodiversity, and enabling sustainable exploitation of marine resources. Human activities such as oil spills and overfishing have significantly disrupted oceanic ecosystems. As a result, there is increasing interest in monitoring marine environments and tracking the health of aquatic species to identify signs of ecological stress. However, acquisition of data from oceans has been a challenging and expensive task. Marine environment lacks adequate communication infrastructures, and traditional solutions such as monitoring ships and underwater cable networks remain prohibitively expensive and logistically complex. These limitations underscore the need for low-cost, scalable, and autonomous ocean monitoring systems.
Watching Earth from Space: Methane, Mangroves, and Sinkholes in Saudi Arabia Abdulrahman Aljurbua, Assistant Research Professor, KACST; Ibn Rushd Fellow, KAUST; Postdoctoral Scholar Fellowship Trainee in Planetary Science, California Institute of Technology (Caltech) Sep 7, 12:00 - 13:00 B9 L2 R2325 This talk will present three projects that use satellite remote sensing to address pressing environmental challenges in Saudi Arabia.
(Ultra)wide Bandgap Semiconductors for Future of Moore’s Law Xiaohang Li, Associate Professor, Electrical and Computer Engineering Aug 31, 12:00 - 13:00 B9 L3 R2325 (Ultra)wide bandgap compound semiconductors including AlN, GaN, Ga2O3 and In2O3 have attracted enormous interests. They offer markedly larger figures of merits for power and RF applications than other known semiconductors. Additionally, they can be applied for vastly impactful quantum information technologies and deep UV-visible optoelectronics. Moreover, they could be promising for More Moore, More than Moore, and Beyond Moore applications. This seminar will cover the latest material, device and IC research based on (ultra)wide bandgap semiconductors for the future of Moore’s Law.
Beyond Connectivity: Paving the Road to Perceptive and Intelligent Networks Hesham ElSawy, Associate Professor, School of Computing, Queen’s University Aug 26, 13:30 - 14:30 B1 L3 R3119 Intelligent Communication connectivity edge computing This talk will outline the motivation behind perceptive and intelligent large-scale networks, highlight the technological pillars driving their development, and discuss the key challenges that must be addressed.
Asymptotic Analysis of Precoding in Large-Scale Multi-User Systems Xiuxiu Ma, Ph.D., Electrical and Computer Engineering Aug 25, 08:30 - 10:00 B1 L3 R3119 MIMO Massive MIMO This thesis develops and applies novel Gaussian Min-Max Theorems to provide a precise asymptotic performance analysis of complex precoders in massive MIMO systems, successfully characterizing system behavior in previously intractable scenarios involving non-linear post-processing operations.
Hardware Centric Quantized Convolutional Neural Network and Algorithms Li Zhang, Ph.D. Student, Electrical and Computer Engineering Jul 24, 09:00 - 10:00 B3 L5 R5209 machine learning accelerators FPGA This thesis addresses the challenges of deploying quantized convolutional neural networks (QCNNs) on resource-constrained edge devices by proposing two novel hardware-software co-design frameworks: one for deriving lightweight, hardware-friendly models validated on FPGA, and another for hardware-aware mixed-precision quantization on compute-in-memory accelerators.
Design of Neuromorphic Object Detection Systems Diego Augusto Silva, Ph.D. Student, Electrical and Computer Engineering Jul 16, 16:00 - 17:00 B3 L5 R5209 event-based object detection neuromorphic vision systems efficient deep learning architectures This dissertation advances event-based object detection by developing efficient deep learning frameworks such as ReYOLOv8 and Chimera, introducing novel encoding and augmentation techniques, releasing a new neuromorphic dataset, and demonstrating a real-time, low-power traffic monitoring system that highlights the practical potential of bio-inspired vision systems.
Towards Scalable and Efficient Semantic Video Search Mattia Soldan, Ph.D. Student, Electrical and Computer Engineering Jul 13, 18:00 - 19:00 B4 L5 R5209 video-language grounding semantic video retrieval multimodal alignment This dissertation advances fine-grained, content-aware video retrieval by developing novel models and frameworks for Video-Language Grounding, enabling accurate alignment between natural language queries and specific temporal segments in unstructured video content.
Towards Efficient AI Hardware: Software-Hardware Co-Design for In-Memory Computing Accelerators Olga Krestinskaya, Ph.D. Student, Electrical and Computer Engineering Jun 29, 08:00 - 10:00 Zoom Meeting 980 9796 2723; B4 L5 R5220 This dissertation addresses two key challenges in software–hardware co-design for IMC-based neural network accelerators: (1) the need to develop generalized IMC hardware that can efficiently support multiple neural network models, and (2) the need for automated frameworks that jointly optimize model parameters, quantization schemes, and IMC hardware configurations for workload-specific deployments.
Computer Vision for Video Editing Learning to Cut, Classify, Assemble, and Generate Alejandro Pardo, Ph.D. Student, Electrical and Computer Engineering Jun 23, 10:00 - 12:00 Click here to join the Ph.D. defense via Zoom This thesis advances video editing by developing a suite of computer vision models for understanding and generating editorial decisions, including a method for ranking video cuts, a dataset for classifying cut types, a language-guided timeline assembler, and a diffusion-based technique for creating match cuts.
Developing Novel Fabrication Techniques and Device Modeling for High-Efficient III-Nitride Micro-Sized Light Emitting Diodes Zhiyuan Liu, Ph.D. Student, Electrical and Computer Engineering Jun 3, 10:00 - 12:00 B2 L5 R5209 This thesis addresses current challenges in InGaN and AlGaN micro-LEDs, including efficiency degradation due to sidewall damage and the high complexity of the micro-LED fabrication process.
FMCW Radar Applications for Automotive and Biomedical Applications Vijith Varma Kotte, Ph.D. Student, Electrical and Computer Engineering May 15, 15:00 - 17:00 B1 L3 R3119 deep learning Signal processing MIMO radars sensors This dissertation enhances Frequency Modulated Continuous Wave (FMCW) radar effectiveness for automotive forward-looking Synthetic Aperture Radar (SAR) imaging and biomedical vital sign and dehydration monitoring by developing novel methodologies based on advanced signal processing, deep learning, and MIMO radar techniques.
Signal Alignment: a Practical Way to Communicate Under Unpredictable Interference Nikolaos Sidiropoulos, Louis T. Rader Professor Electrical and Computer Engineering, University of Virginia, USA May 14, 13:30 - 14:30 B1 L3 R3119 wireless communication This talk introduces a practical method for reliable wireless communication amidst interference by using packet repetition and multi-antenna reception to achieve signal alignment, enabling packet recovery through geometric subspace intersection even against adversarial jammers.
The Internet of Fiber-Optic Things and Smart Sensing Juan Manuel Marin Mosquera, Ph.D Candidate (former), Electrical and Computer Engineering May 14, 10:00 - 11:30 B1 L3 R3119 This dissertation introduces the Internet of Fiber-Optic Things (IoFOT)—a new concept where a single optical fiber handles data, power, and smart sensing simultaneously. Demonstrated applications include pipeline monitoring and marine life tracking, paving the way for the development of a worldwide smart observation network.
Carrier- and Trap-Resolved Photo-Hall Effect: Unlocking the 145-Year-Old Secret in Hall Effect Oki Gunawan, Research Staff Member, IBM Research, USA May 12, 10:00 - 11:00 B5 L5 R5209 advanced semiconductors This seminar introduces the "carrier and trap resolved photo-Hall effect," a novel technique extending the classic Hall effect via a simple hyperbola equation to reveal majority/minority carrier properties and trap dynamics, unifying multiple physical excitations for enhanced semiconductor characterization.
Structuring Sound and Vibration by Metasurfaces Badreddine Assouar, Professor, Director of Research at French National Center of Scientific Research (CNRS), University of Lorraine, France May 11, 12:00 - 13:00 B9 L2 R2325 This seminar provides an overview of recent research on acoustic and elastic metasurfaces and metamaterials, covering their fundamentals, applications in wave and vibration control, including low-frequency absorption, BIC physics, and phonic skyrmions.
High-Mobility Back-End-of-Line Compatible Indium Oxide Thin-Film Transistors for Monolithic 3D Integration Na Xiao, Ph.D. Student, Electrical and Computer Engineering May 6, 16:00 - 18:00 B2 L5 R5209 advanced semiconductors thin-film transistors This dissertation develops strategies for fabricating high-performance, low-temperature processed indium oxide thin-film transistors for monolithic 3D integration, achieving record mobility and stability through optimized annealing, passivation, and channel engineering techniques.
Current and Future Challenges and Solutions in AI & HPC System and Thermal Management Dr. Gamal Refai-Ahmed, Senior Fellow & Chief Architect, AMD Member of U.S. National Academy of Engineering Life Fellow, Canadian Academy of Engineering Fellow, Engineering Institute of Canada Fellow & Distinguished Lecturer, IEEE Life Fellow, ASME May 6, 13:00 - 17:00 B4 L5 R5209 Led by expert Dr. Gamal Refai Ahmed, this course explores innovative thermal management and packaging solutions for AI and HPC systems, addressing current and future challenges with cutting-edge techniques and next-generation design principles.
The 2025 Iberian Blackout: Anatomy of a Grid Collapse Charalambos (Harrys) Konstantinou, Associate Professor, Electrical and Computer Engineering May 6, 09:00 - 11:00 B9 L2 R2322 renewable energy resilience power grid This talk provides a data-informed timeline of the April 28 Iberian blackout, examining how system conditions and possible instabilities may have shaped the cascade of events.
AI for Chips and Chips for AI Mehdi Saligane, Assistant Professor, Electrical and Computer Engineering, Brown University, USA May 4, 12:00 - 13:00 B9 L2 R2325 artificial intelligence AI semiconductors innovation LLM This seminar presents a unified "AI for Chips & Chips for AI" approach, demonstrating how AI enhances semiconductor design while specialized silicon accelerates AI computation, creating a rapid innovation cycle.
Autonomy at the Edge of Capabilities: Uncertain Environments, Limited Resources, Difficult Missions Melkior Ornik, Assistant Professor, Department of Aerospace Engineering, University of Illinois Urbana-Champaign May 4, 10:30 - 11:30 B5 L5 R5209 This seminar introduces a planning strategy for complex autonomous systems that integrates machine learning with structure-driven abstraction and mission decomposition to achieve computationally tractable, scalable, and high-performing policies despite environmental and agent constraints.
Future of Semiconductors Forum 2025 | KAUST May 4, 08:00 - May 5, 17:00 Building 20 semiconductor advanced semiconductors smart health photonics Join global leaders at KAUST to shape the next era of semiconductor technologies.
Efficient Antenna-on-Chip with Optimized Artificial Magnetic Conductor Performance for 6G mm-Wave Applications Yiyang Yu, Ph.D., Electrical and Computer Engineering Apr 30, 15:30 - 17:30 B3 L5 R5209 Electrically Small Antenna Design antenna design on-chip antennas 6g wireless systems This dissertation introduces innovative Artificial Magnetic Conductor structures and a reconfigurable superstrate to overcome profile thickness, illumination efficiency, and radiation pattern limitations in CMOS-integrated Antennas-on-Chip, thereby enhancing their performance and versatility for future 6G wireless communication systems.
Control and Estimation Designs Using Model-Based and Model-Free Approaches for Water Quality Monitoring in Process Systems Fahad Aljehani, Ph.D. Student, Electrical and Computer Engineering Apr 30, 10:00 - 12:00 B1 L4 R4214 machine learning algorithm optimal control Control Theory Reinforcement Learning This dissertation develops and evaluates advanced control and estimation strategies to address complex dynamics and measurement limitations in water-related applications, specifically optimizing fish growth in aquaculture and estimating bacterial concentration in wastewater treatment plants.
Design and Process Development of Graphene-Based Geometric Diodes for Enhanced Performance Heng Wang, Ph.D., Electrical and Computer Engineering Apr 29, 14:00 - 16:00 B2 L5 R5220 Thz rectennas Graphene geometric diodes semiconductors nano devices artificial intelligence This thesis advances graphene geometric diodes (GGDs) by addressing fabrication, performance, and design challenges using innovative nanofabrication techniques and artificial intelligence-enhanced computational methodologies.
Harnessing Multi-modal AI and Machine Learning for Next-Generation 6G Networks Asmaa Abdallah, Research Scientist, Electrical and Computer Engineering Apr 27, 12:00 - 13:00 B9 L2 R2325 LLM machine learning 6G wireless communication Digital signal processing This seminar explores how multi-modal AI and large language models can optimize future 6G wireless networks by integrating diverse data sources to enhance reliability, efficiency, and overall performance.
Metasurface Based Optical Metrology Systems: Design, Fabrication, and Implementations Arturo Burguete Lopez, Ph.D. Student, Electrical and Computer Engineering Apr 27, 11:00 - 13:00 B3 L5 R5209 Metasurfaces integrated optics This dissertation introduces a framework to advance optical metasurfaces from individual components to integrated optical instruments, it presents demonstrations of metrology techniques that combine machine learning and nanophotonic technologies for remote sensing that outperform methods based on conventional optics, thus advancing the next generation of optical instrumentation.
Bridging the Digital Divide Gap: Next-G Approach Towards Connecting the Unconnected Fahad Salem Alqurashi, Ph.D., Electrical and Computer Engineering Apr 21, 13:00 - 14:30 B 4/5, L0, R0215 This dissertation investigates next-generation technologies, including hybrid free-space optics (FSO) and radio frequency (RF) communication systems, to bridge the digital divide in underserved remote areas, addressing multifaceted constraints like economic viability, technical feasibility, and socio-economic inequalities, with a focus on real-world applications.
GaN-based VCSELs and Future of Semiconductor Lasers Tatsushi Hamaguchi, Professor, Innovation Center for Semiconductor and Digital Future Apr 20, 12:00 - 13:00 B9 L2 R2325 This lecture covers the history, breakthroughs, and future of nitride-based blue and green surface-emitting lasers, from both industry and academic viewpoints.
Adaptive Unbound Resilient Electronics for Organic and Reconfigurable Architectures Realizing Fully Flexible 3D-IC Systems for Extreme, Evolving, and Embedded Environments Muhammad Hussain, Professor, Electrical and Computer Engineering, Purdue University, United States Apr 20, 12:00 - 13:00 B2 L5 R5220 This talk reviews recent advances across flexible electronics, dissolvable packaging, liquid metal-enabled systems, NFC-powered devices, wearable sensors, and swarm-capable microsystems.
