Samsung Advanced
Institute of Technology

Global Collaboration



  • Kandis Leslie Gilliard-AbdulAziz(University of Southern California), Environmental Tech. for Sustainability - Electrothermal Integrated Carbon Capture and Utilization
  • Thomas C. Underwood(University of Texas at Austin), Environmental Tech. for Sustainability - Synergetic Plasma-Catalytic Design for Gas Abatement from Semiconductor Processes
  • John Duchi(Stanford University), Machine Intelligence - Conformal prediction for trustworthy language models
  • Jiajun Wu(Stanford University), Machine Intelligence - Learning to De-Render for Controllable Generation
  • Aditya Grover(University of California, Los Angeles), Machine Intelligence - Generative foundation Models for Black-Box Optimization
  • Paris Perdikaris(University of Pennsylvania), Machine Intelligence - Information Theoretic Black-Box Optimization and Active Learning with Deep Generative Models
  • Zhi Ding(University of California, Davis), Machine Intelligence - Exploring Physics Inspired AI in Next G Radio Access Network Technologies
  • Eric P. Xing(Carnegie Mellon University), Machine Intelligence - Efficient Designs for Generative and Agent LLM Development
  • Liang Jiang(University of Chicago), Quantum Computing - Quantum Advantage Protocols with Noisy Robustness and Practical Applications
  • Zhihao Jia(Carnegie Mellon University), New Computing - Resolving Tail-to-Tail Trap Density in Semiconductor Oxide Devices
  • Andrea Bartolini(University of Bologna), New Computing - Enabling Memory Coupled Compute Efficient Acceleration in the Monte Cimone RISC-V cluster
  • Liu Liu(Rensselaer Polytechnic Institute), New Memory - Enabling Algorithm-Architecture Co-Design for Large Language Models on CXL Memory
  • Yue Cheng(University of Virginia), New Memory - Highly Efficient Pre-Trained LLM Storage with Near-Storage Compression and CXL Memory Integration
  • Hyunseok Kim(University of Illinois at Urbana Champaign), Semiconductor Process - Full-color micro-LEDs via advanced epitaxy and integration techniques
  • Joyce Poon(University of Toronto), Semiconductor Process - Sub-picojoule per bit optical interconnects using near infrared silicon photonics
  • Yoonjin Won(University of Califonia, Irvine), Semiconductor Process - Two-Phase Cooling Strategies for Next-Generation Electronics
  • Daewook kim(University of Arizona), Semiconductor Equipment - Athermal Optics design, EUV mirror inspection technology
  • Zeeshan Ahmad(Texas Tech University), Semiconductor Materials - Long-Range Equivariant Machine Learning Interatomic Potentials for Simulating Charge Transfer
  • Tor Aamodt(University of British Columbia), Mobile Solution - Hardware Support for Neural-Accelerated Ray Tracing
  • Leonidas Kosmidis(Barcelona Supercomputing Center), Future Mobility - RADLER: RISC-V Autonomous Driving LEvel fouR hardware/software co-design
  • Geoffrey Beach(MIT), New Computing - Ferrimagnetic Skyrmions for Racetrack Memory and Computing
  • Sanghyun Hong(Oregon State University), New Computing - Efficient Computing Methods for Neural Networks for In-Memory Computing
  • Mai Zheng(Iowa State University), New Computing - Analyzing the Blast Radius Problem of SSD Failures on HPC
  • Torsten Hoefler(ETH Zurich), New Computing - Building Massively Parallel Supercomputers based on Near-Memory Computing
  • Christopher Hinkle(University of Notre Dame), Electronic Material - Cubic 3D Chalcogenide Semiconductors for p-Channel BEOL Transistors
  • Masaharu Kobayashi(University of Tokyo), Electronic Material - Oxide-Semiconductor Vertical-Channel Ferroelectric Transistors
  • Matthew Graham(Oregon State University), Electronic Material - Resolving Tail-to-Tail Trap Density in Semiconductor Oxide Devices
  • Krishna Saraswat(Stanford University), Electronic Material - Low Resistance TMD Contacts
  • Fumiya Iida(University of Cambridge), Electronic Material - Human-like active tactile perception of a sensorized soft robotic finger
  • Sang-Hoon Bae(Washington University in St. Louis), Electronic Material - Next generation CMOS based on single crystalline 2D materials
  • Chen Sun(Brown University), Machine Intelligence - Towards a Unified Visual Perception and Reasoning Framework
  • Karthik Narasimhan(Princeton University), Machine Intelligence - Data Multiplexing for Energy-efficient Tiny ML
  • Bolei Zhou(University of California Los Angeles), Machine Intelligence - Benchmarking the Real-World Decision Making of Autonomous Driving Systems
  • Jiyoung Kim(University of Texas at Dallas), Semiconductor Process - In-situ Electrical and Materials Characterization for Atomic Layer Doping
  • Yan Wang(Georgia Institute of Technology), Semiconductor Equipment - Physics-Constrained Neural Networks for Anomaly Detection
  • Chabum Lee(Texas A&M University), Semiconductor Equipment - Waveguide-based Dark Field Scattering Spectroscopy
  • Stanley Chan(Purdue University), Future Camera & Sensor - Compact High-Zoom Metasurface Camera
  • Debashis Chanda(University of Central Florida), Future Camera & Sensor - Bioinspired Frequency Modulation based Uncooled MWIR/LWIR Detection
  • Wendy Gu(Stanford University), Next Generation Battery - Thermo-Mechanical Protection for Lithium-Ion Batteries
  • Hosop Shin(Indiana University), Next Generation Battery - Direct Upcycling of Spent Polycrystalline NMCs to Single-crystal Ni-rich NMC
  • Bin Ouyang(Florida State University), Next Generation Battery - Data-driven discovery of low-cost and high-performance Li-ion cathode
  • Meilin Liu(Georgia Institute of Technology), Next Generation Battery - Durable fast charging Nb-oxide coated cobalt-free high Mn cathode materials
  • Yayuan Liu(Johns Hopkins University), Environmental Technology for Sustainability - Electrochemically Mediated Direct Air Capture of Carbon Dioxide
  • Jinsang Kim(University of Michigan), Environmental Technology for Sustainability - Dual self-signaling and virucidal polydiacetylene-based sensors