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Dalir Joins National Effort to Enable 3D Optical Packaging for Next-Gen AI Chips

May 14, 2025

Hamed Dalir, PhD, is part of a nationally-funded initiative to develop a transformative three-dimensional optical packaging platform that redefines how data is routed across and between chips. The project is led by Ali Adibi, PhD, professor in the Department of Electrical & Computer Engineering at Georgia Institute of Technology, in partnership with Dalir, Juejun Hu, PhD, associate professor in the Department of Materials Science & Engineering at the Massachusetts Institute of Technology, and colleagues at AIM Photonics, and nHanced Semiconductor. The team aims to unlock new levels of scalability, bandwidth, and energy efficiency by vertically stacking photonic layers and enabling seamless chip-to-chip optical communication.

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Fu & Dixon Work to Achieve Strategic Dominance

May 6, 2025

Dr. Jie Fu (PI) has been awarded $1.3 million in funding from the DEVCOM Army Research Laboratory for “Strategic Planning in Hierarchical Games: Achieving Rapid Dominance in the Uncertain World of Conflict (Shadow).” Distinguished Professor Warren Dixon, chair of the Department of Mechanical and Aerospace Engineering at the University of Florida, serves as co-PI on the project.

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Laura Kim Works to Create Light-Matter Hybrid Quantum Building Blocks

April 18, 2025

Laura Kim, Ph.D., has been awarded a DARPA Young Faculty Award in support of her project “Room-Temperature Strong Coupling in Intercalated 2D Plasmonic Systems.” The $500,000, two-year project seeks to unlock quantum phenomena that have traditionally remained exclusive to cryogenic temperatures, bringing them into room-temperature environments by using layered nanoscale materials that confine light with extreme precision.

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Dalir’s CHIP Lab Works to Revolutionize Low-Power Components for AI Hardware Accelerators

April 7, 2025

The CHIP Lab, led by Hamed Dalir, Ph.D., has been awarded up to $435,000 by the Naval Surface Warfare Center, Crane Division, to pioneer a transformative approach to analog-to-digital (ADC) and digital-to-analog (DAC) conversion for next-generation AI accelerator processors.

Read more: Dalir’s CHIP Lab Works to Revolutionize Low-Power Components for AI Hardware Accelerators »
Elham Heidari, Ph.D.

Heidari Works to Create Tunable Lasers

April 4, 2025

A new paper by researchers at UF Electrical & Computer Engineering has recently been published in ACS Photonics, outlining recent work in the area of tunable lasers. “Tunable Laser Using Transverse Cavity Surface Emitting Laser Working near Exceptional Point,” was authored by Elham Heidari, Ph.D., and her research group.

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Ruchkin Receives NSF CAREER Award to Make Cyber-Physical Systems Aware of Their Limitations

March 25, 2025

Ivan Ruchkin, Ph.D., has received funding from the NSF in support of his CAREER project “Rigorous Assumption Engineering for Learning-Enabled Cyber-Physical Systems.”

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Wu Works to Make Computers More Brain-Like

March 14, 2025

Imagine a computer that works more like your brain—fast, smart, and able to learn from experience. Thanks to funding from the National Science Foundation, ECE Assistant Professor Yingying Wu is helping to make this dream a reality.

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Think you can cheat with AI? A UF professor creates watermarks to detect AI-generated writing

March 5, 2025

Using UF’s supercomputer HiPerGator, ECE Assistant Professor Yuheng Bu and his team are working on an invisible watermark method for Large Language Models designed to reliably detect AI-generated content – even altered or paraphrased – while maintaining writing quality.

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ECE PhD Student Receives Prestigious MTT-S Fellowship

February 26, 2025

Asif Iftekhar Omi, an ECE Ph.D. student working with Dr. Baibhab Chatterjee, has been selected to receive the IEEE MTT-S Graduate Fellowship for Medical Applications, among the most prestigious of accolades in microwave engineering.

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CHIP Lab Secures Funding for Cutting-Edge Photonics Accelerators

January 8, 2025

The CHIP Lab, led by Dr. Hamed Dalir, has received $435,000 in funding from SRC to enhance photonic integrated circuits (PICs) and ferroelectric-tunable transparent conductive materials for high-performance computing applications.

Read more: CHIP Lab Secures Funding for Cutting-Edge Photonics Accelerators »