- Shancong Mou (University of Minnesota), Machine Intelligence Neural Refrigeration Cycle Network enabled Optimal Control of Closed-loop Fluid Infrastructure System
- Jeong Joon Park (University of Michigan), Machine Intelligence Generative PDE-Solving and Boundary Condition Design Under Partial Observations
- Steve Liu (McGill University), Machine Intelligence Large Language Model-driven Efficient and Flexible Network Management for NextG Cellular Communications
- James M. LeBeau (Massachusetts Institute of Technology), Machine Intelligence Characterization of Defects in Semiconductor Devices using Multislice Electron Ptychography
- Keren Bergman (Columbia University), Interconnect Extreme Bandwidth Ultra-Low Energy 3D Photonic Interconnect
- Pavan Hanumolu (University of Illinois Urbana-Champaign), Interconnect Interconnects for large-scale chiplet-based system
- Juejun Hu (Massachusetts Institute of Technology), Interconnect Optical Free-Form Couplers for High-bandwidth Integrated Photonics (OFFCHIP)
- Daniel Durstewitz (Heidelberg University), New Computing and Device Reverse-Engineering Brain Computations Related to Higher Cognition via Large-Scale Dynamical Systems Reconstruction
- Vikram Iyer (University of Washington), New Computing and Device Wearable Devices for Biomarkers of Early Stage Influenza-Like-Illness Detection
- Meilin Liu (Georgia Institute of Technology), Environment and Energy Tech. for Sustainability High-performance electrolysis cells for efficient syngas production
- Jinsang Kim (University of Michigan), Environment and Energy Tech. for Sustainability Tightly Bound Self Assembled Multilayer-Forming Molecules with End-terminal Primary Amine for Efficient CO2 Capture
- 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