What’s the hottest thing in electronics and high-performance computing? In a word, it’s “cool.”

To be more precise, it’s a liquid cooling system developed at Georgia Tech for electronics aimed at solving a long-standing problem: overheating.

Developed by Daniel Lorenzini, a 2019 Tech graduate who earned his Ph.D. in mechanical engineering, the cooling system uses microfluidic channels — tiny, intricate pathways for liquids — that are embedded within the chip packaging.

He worked with VentureLab, a Tech program in the Office of Commercialization, to spin his research into a startup company, EMCOOL, headquartered in Norcross.

“Our solution directly addresses the heat at the source of the silicon chip and therefore makes it faster,” Lorenzini said. “Our design has our system sitting directly on the silicon chips that generate the most heat. Using the fluids in the micro-pin fins, it carries the heat that’s produced away from the chip.”

That cooling solution is directly integrated into the electronic components, making it significantly more efficient than conventional cooling methods, because it enhances the heat dissipation process.

The result is a much lower risk of overheating and reduced power consumption, he said.

Lorenzini, who researched and refined the technology in the lab of Yogendra Joshi at the George W. Woodruff School of Mechanical Engineering, was awarded a patent for the technology in September 2024.

Now, EMCOOL, which has five empoloyees, is actively pursuing venture capital funding to scale its technology and address the escalating thermal management challenges posed by AI processors in modern data centers.

The system uses a cooling block with tiny, pin-like fins on one side and a special thermal interface material on the other. There's also a junction attached to the block, with ports for the fluid to flow in and out. The cooling fluid moves through the micro-pin fins and helps to carry away the heat.

Since the ports are designed to match the shape of the fins, it ensures that the fluid flows efficiently and the heat is dissipated as effectively as possible at chip-scale. 

As electronic devices — from high-performance personal computers to data centers used for artificial intelligence processing — become more powerful, they generate more heat. This excess heat can damage components or cause the device to underperform.

Traditional cooling methods, which include fans or heat sinks, often struggle to keep pace with the increasing demands of the newer model electronics. Lorenzini’s microfluidic system addresses the challenge of overheating with his patented, more effective, compact, and integrated cooling solution.

With the guidance of Jonathan Goldman, director of Quadrant-i in Tech’s Office of Commercialization, Lorenzini secured grant funding through the National Science Foundation and the Georgia Research Alliance to further the research and build design prototypes.

“We immediately had the sense there was commercial potential here,” Goldman said. “Thermal management, or getting rid of heat, is a ubiquitous problem in the computer industry, so when we saw what Daniel was doing, we immediately began to engage with him to understand what the commercial potential was.”

Indeed, the initial focus for the technology was the $159 billion global electronic gaming market. Gamers need a lot of computing power, which generates a lot of heat, causing lag.

But beyond gaming systems, the company, which manufactures custom cooling blocks and kits at its Norcross facility, is eyeing more sectors, which also suffer from overheating, Goldman said.

The technology addresses similar overheating electronics challenges in high-performance computing, telecommunications, and energy systems.

“This work propels us forward in pushing the boundaries of what traditional cooling technologies can achieve because by harnessing the power of microfluidics, EMCOOL's systems offer a compact and energy-efficient way to manage heat,” Goldman said. “This has the potential to revolutionize industries reliant on high-performance computing, where heat management is a constant challenge.”

In a groundbreaking study published in Nature, researchers from Georgia Tech and Emory University have developed a new model that could enable precise, life-saving medication delivery for blood clot patients. The novel technique uses a 3D microchip

Wilbur Lam, professor at Georgia Tech and Emory University, and a clinician at Children’s Healthcare of Atlanta, led the study. He worked closely with Yongzhi Qiu, an assistant professor in the Department of Pediatrics at Emory University School of Medicine. 

The significance of the thromboinflammation-on-a-chip model, is that it mimics clots in a human-like way, allowing them to last for months and resolve naturally. This model helps track blood clots and more effectively test treatments for conditions including sickle cell anemia, strokes, and heart attacks. 

Read the full story from Emory University

In a significant move to bolster Georgia's workforce, Georgia Tech has partnered with Georgia Quick Start to advance manufacturing training and skill development. This collaboration, formalized by the signing of a Memorandum of Understanding on April 8, aims to elevate the quality and efficiency of manufacturing workforce training across the state.

“At Georgia Tech, innovation isn’t just about discovery — it’s about solving real-world challenges,” said Executive Vice President for Research Tim Lieuwen. “Georgia Quick Start ensures that cutting-edge research in advanced manufacturing translates into practical training solutions. Together, we are equipping Georgia’s workforce with the skills needed to drive economic growth and industry advancement.”

As manufacturing technologies and artificial intelligence continue to evolve, U.S. manufacturers increasingly require skilled workers experienced in advanced manufacturing. For decades, Georgia Quick Start, administered by the Technical College System of Georgia, has been addressing this need and has been recognized as the country’s top workforce training program for 15 years. 

Now, researchers at Georgia Tech will collaborate with Georgia Quick Start to enhance these efforts by developing Extended Reality (XR) training programs, providing a scalable and experiential solution to meet the growing demand for training. 

“We have been so successful for so many years because we stay focused on relevance, flexibility, and responsiveness,” said Scott McMurray, deputy commissioner for Georgia Quick Start. “This partnership is an example of how Quick Start is able to develop and deliver effective training even for companies working on the leading edge of advanced manufacturing technologies.”

Extended Reality, Scaled Training

XR technologies use a combination of virtual and augmented reality to create immersive, interactive experiences. By simulating real-world manufacturing environments and processes, XR has the potential to allow trainees to practice and refine their skills in a controlled, risk-free setting through standardized training experiences. This not only enhances the learning experience but also ensures consistency in training quality across a large workforce.

“Virtual reality scales training by gamifying complex tasks and removing the need for costly or hazardous physical equipment. Augmented reality scales on-the-job training by providing adaptive, context-aware guidance exactly when and where it’s needed, reducing the need for expert supervision,” said manufacturing XR researcher Mohsen Moghaddam, Gary C. Butler Family associate professor in the H. Milton Stewart School of Industrial and Systems Engineering and the George W. Woodruff School of Mechanical Engineering. “Together, they make training more consistent, up-to-date, accessible, and safe, especially for workers who may hesitate to ask for assistance from peers or supervisors out of fear of judgment.”

The collaboration will leverage Moghaddam’s research and the AR/VR training space within the expanded Advanced Manufacturing Pilot Facility, providing a state-of-the-art environment for developing and deploying XR training technologies. Researchers from the Georgia Tech Manufacturing Institute (GTMI) and Georgia AIM(Artificial Intelligence in Manufacturing) will also play pivotal roles in the development of these training programs.

“Partnerships like these highlight the power of the integrated University of Georgia and Technical College System of Georgia’s workforce development ecosystem,” said Thomas Kurfess, Regents’ Professor and GTMI executive director. “Our country not only needs the creation of new jobs but also the skilled workforce to fill them. At Georgia Tech and GTMI, we are serving as an enabler of innovation in that workforce development.”

Micro-brain sensors placed between hair strands overcome traditional brain sensor limitations.

Georgia Tech researchers have developed an almost imperceptible microstructure brain sensor to be inserted into the minuscule spaces between hair follicles and slightly under the skin. The sensor offers high-fidelity signals and makes the continuous use of brain-computer interfaces (BCI) in everyday life possible.

BCIs create a direct communication pathway between the brain's electrical activity and external devices such as electroencephalography devices, computers, robotic limbs, and other brain monitoring devices. Brain signals are commonly captured non-invasively with electrodes mounted on the surface of the human scalp using conductive electrode gel for optimum impedance and data quality. More invasive signal capture methods such as brain implants are possible, but this research seeks to create sensors that are both easily placed and reliably manufactured. 

Hong Yeo, the Harris Saunders Jr. Professor in the George W. Woodruff School of Mechanical Engineering, combined the latest microneedle technology with his deep expertise in wearable sensor technology that may allow stable brain signal detection over long periods and easy insertion of a new painless, wearable microneedle BCI wireless sensor that fits between hair follicles. The skin placement and extremely small size of this new wireless brain interface could offer a variety of benefits over traditional gel or dry electrodes.

“I started this research because my main goal is to develop new sensor technology to support healthcare and I had previous experience with brain-computer interfaces and flexible scalp electronics,” said Yeo, who is also a faculty member in Georgia Tech’s Institute for People and Technology. “I knew we needed better BCI sensor technology and discovered that if we can slightly penetrate the skin and avoid hair by miniaturizing the sensor, we can dramatically increase the signal quality by getting closer to the source of the signals and reduce unwanted noise.”

Today’s BCI systems consist of bulky electronics and rigid sensors that prevent the interfaces from being useful while the user is in motion during regular activities. Yeo and colleagues constructed a micro-scale sensor for neural signal capture that can be easily worn during daily activities, unlocking new potential for BCI devices. His technology uses conductive polymer microneedles to capture electrical signals and conveys those signals along flexible polyimide/copper wires — all of which are packaged in a space of less than 1  millimeter.

A study of six people using the device to control an augmented reality (AR) video call found that high-fidelity neural signal capture persisted for up to 12 hours with very low electrical resistance at the contact between skin and sensor. Participants could stand, walk, and run for most of the daytime hours while the brain-computer interface successfully recorded and classified neural signals indicating which visual stimulus the user focused on with 96.4% accuracy. During the testing, participants could look up phone contacts and initiate and accept AR video calls hands-free as this new micro-sized brain sensor was picking up visual stimuli — all the while giving the user complete freedom of movement.  

According to Yeo, the results suggest that this wearable BCI system may allow for practical and continuous interface activity, potentially leading to everyday use of machine-human integrative technology.

“I firmly believe in the power of collaboration, as many of today’s challenges are too complex for any one individual to solve,” said Yeo. “Therefore, I would like to express my gratitude to all the researchers in my group and the amazing collaborators who made this work possible. I will continue collaborating with the team to enhance BCI technology for rehabilitation and prosthetics.”

Note: Hodam Kim (postdoctoral research fellow), Ju Hyeon Kim (visiting Ph.D. student from Inha University – South Korea), and Yoon Jae Lee (Ph.D. student) also played a major role in developing this technology.

Funding: National Science Foundation NRT (Research Traineeship program in the Sustainable Development of Smart Medical Devices), WISH Center (Institute for Matter and Systems), and partial research support from several South Korean programs and grants.

PNAS article publication (April 7, 2025, Vol. 122, No. 15): https://www.pnas.org/doi/10.1073/pnas.2419304122

About Tech AI
Tech AI is Georgia Tech's hub for artificial intelligence research, education, and responsible deployment. With over $120 million in active AI research funding, including more than $60 million in NSF support for five AI Research Institutes, Tech AI drives innovation through cutting-edge research, industry partnerships, and real-world applications. With over 370 papers published at top AI conferences and workshops, Tech AI is a leader in advancing AI-driven engineering, mobility, and enterprise solutions. Through strategic collaborations, Tech AI bridges the gap between AI research and industry, optimizing supply chains, enhancing cybersecurity, advancing autonomous systems, and transforming healthcare and manufacturing. Committed to workforce development, Tech AI provides AI education across all levels, from K-12 outreach to undergraduate and graduate programs, as well as specialized certifications. These initiatives equip students with hands-on experience, industry exposure, and the technical expertise needed to lead in AI-driven industries. Bringing AI to the world through innovation, collaboration, and partnerships. Visit tech.ai.gatech.edu.

Seven faculty members at the Georgia Institute of Technology have been elected 2024 Fellows of the American Association for the Advancement of Science (AAAS), the world’s largest general scientific society and publisher of the Science family of journals.

Chaouki Abdallah, Daniel Goldman, Wilbur Lam, Margaret Kosal, Anant Madabhushi, Juan Rogers, and Krista Walton are among the 471 scientists, engineers, and innovators who have been recognized for their scientifically and socially distinguished achievements. 

“The AAAS Fellowship is among the highest and most respected honors in the scientific community,” said Tim Lieuwen, executive vice president for Research at Georgia Tech. “These celebrated Yellow Jackets reflect the exceptional contributions of our faculty and their sustained commitment to Progress and Service. We are incredibly proud of their achievements and excited about the continued impact of their groundbreaking work.”

Election to the AAAS is a lifetime honor, and all fellows are expected to meet commonly held standards of professional ethics and scientific integrity. 

This year’s fellows are now among the more than 100 individuals who have been elected from Georgia Tech throughout the Institute’s history. 

2024 AAAS Fellows: 

• Chaouki Abdallah, professor in the School of Electrical and Computer Engineering currently on leave, serving as president of the Lebanese American University: for distinguished contributions in control, communications, and computing systems, and for leadership in higher education.
• Daniel Goldman, professor in the School of Physics: for distinguished contributions to the field of biological physics and nonlinear dynamics at the interface of biomechanics, robotics, and granular physics.
• Margaret Kosal, associate professor and director of graduate studies in the Sam Nunn School of International Affairs: for distinguished contributions in the development of testable frameworks to explore the relationships between science, technology, and security, and to explain their impact on geopolitics.
• Wilbur Lam, professor in the School of Biomedical Engineering at Georgia Tech and Emory and co-director of the Pediatric Technology Center: for novel advances in the field of hematologic biophysics, and the development of point-of-care diagnostics that have a global impact.
• Anant Madabhushi, professor in the School of Biomedical Engineering at Georgia Tech and Emory: for seminal contributions in the innovation and translation of machine vision, digital pathology, machine learning, and artificial intelligence technologies in medical imaging and their application to problems in precision medicine.
• Juan Rogers, professor and associate chair in the School of Public Policy: for distinguished scholarship in research assessment and for the development of new models and tools for impact assessment of R&D programs.
• Krista Walton, associate vice president for Research Operations and Infrastructure, and professor and Robert “Bud” Moeller Faculty Fellow in the School of Chemical and Biomolecular Engineering: for distinguished contributions in the design, synthesis, and characterization of functional porous materials for use in adsorption applications.   

To learn more about the newest AAAS Fellows, please see individual announcements from the College of Sciences, the College of Engineering, and the Ivan Allen College of Liberal Arts. 

AAAS is the world’s largest general scientific society. The nonprofit was founded in 1848 and includes more than 250 affiliated societies and academies of science, serving 10 million individuals. It is open to all and fulfills its mission to “advance science and serve society” through initiatives such as science policy, international programs, science education, and public engagement. 

March 20, 2025 – Tech AI, the AI hub at Georgia Tech, will host Tech AI Fest 2025 from March 26 to 28 at the Historic Academy of Medicine in Atlanta. This major AI event will bring together experts, researchers, industry professionals, policymakers, and students to explore the latest advancements and applications of artificial intelligence.

A Hub for AI Conversations

Tech AI Fest 2025 will bring together over 40 experts from top institutions and leading companies, including:

• Academic Institutions: Georgia Tech, Carnegie Mellon University, Harvard University, the University of Texas at Austin, Washington State University, and Columbia University.
• Leading Companies: J.P. Morgan, NVIDIA, Juniper Networks, Microsoft, OpenAI, Bosch USA, Kinaxis, MindsDB, Verdant Technologies, and Dandelion Science Corp.

Event Highlights

• Days 1 – 2 (March 26 – 27) will focus on how AI is being used in industry, government, and research. Sessions will discuss AI's role in technological progress, economic growth, and policy development.
• Day 3 (March 28) will showcase Georgia Tech's AI projects, including groundbreaking research, student presentations, and the launch of the Tech AI Alumni Group to strengthen industry-academic connections.

Commitment to AI Progress

Tech AI Fest 2025 shows Georgia Tech's dedication to advancing AI research, fostering innovation, and building meaningful partnerships across different sectors. The event is a platform for sharing knowledge, networking, and collaboration, putting attendees at the forefront of the AI revolution.

“AI is more than just an academic pursuit; it’s a force that’s reshaping industries, redefining education, and creating solutions for some of the biggest challenges we face today,” said Pascal Van Hentenryck, the A. Russell Chandler III Chair and professor in Georgia Tech’s H. Milton Stewart School of Industrial and Systems Engineering, director of the NSF Artificial Intelligence Institute for Advances in Optimization (AI4OPT), and director of Tech AI.

Registration and Participation

General admission is $25, but Georgia Tech students can attend for free while seats are available. Due to high demand, registration has reached capacity. Interested individuals can join the waiting list by contacting Josh Tullis at josh@corporate.gatech.edu.

For more information, visit the official event page.

About Tech AI

Tech AI is Georgia Tech’s hub for artificial intelligence research, education, and responsible deployment. It drives real-world AI solutions through innovation, collaboration, and industry partnerships. With over $120 million in active AI research funding and more than 370 publications at top AI conferences, Tech AI is ranked No. 5 in the U.S. for AI research and leads the way in AI-driven engineering and applied research. Supported by over $60 million in National Science Foundation funding, Tech AI plays a critical role in developing the next generation of AI leaders through world-class degree programs and specialized certifications. By bridging the gap between research and real-world applications, Tech AI collaborates with industry and government partners to optimize supply chains, enhance cybersecurity, advance autonomous systems, revolutionize healthcare, improve energy efficiency, and drive sustainable manufacturing.

Many communities rely on insights from computer-based models and simulations. This week, a nest of Georgia Tech experts are swarming an international conference to present their latest advancements in these tools, which offer solutions to pressing challenges in science and engineering.

Students and faculty from the School of Computational Science and Engineering (CSE) are leading the Georgia Tech contingent at the SIAM Conference on Computational Science and Engineering (CSE25). The Society of Industrial and Applied Mathematics (SIAM) organizes CSE25, occurring March 3-7 in Fort Worth, Texas.

At CSE25, the School of CSE researchers are presenting papers that apply computing approaches to varying fields, including:                   

• Experiment designs to accelerate the discovery of material properties
• Machine learning approaches to model and predict weather forecasting and coastal flooding
• Virtual models that replicate subsurface geological formations used to store captured carbon dioxide
• Optimizing systems for imaging and optical chemistry
• Plasma physics during nuclear fusion reactions

[Related: GT CSE at SIAM CSE25 Interactive Graphic] 

“In CSE, researchers from different disciplines work together to develop new computational methods that we could not have developed alone,” said School of CSE Professor Edmond Chow. 

“These methods enable new science and engineering to be performed using computation.” 

CSE is a discipline dedicated to advancing computational techniques to study and analyze scientific and engineering systems. CSE complements theory and experimentation as modes of scientific discovery. 

Held every other year, CSE25 is the primary conference for the SIAM Activity Group on Computational Science and Engineering (SIAG CSE). School of CSE faculty serve in key roles in leading the group and preparing for the conference.

In December, SIAG CSE members elected Chow to a two-year term as the group’s vice chair. This election comes after Chow completed a term as the SIAG CSE program director. 

School of CSE Associate Professor Elizabeth Cherry has co-chaired the CSE25 organizing committee since the last conference in 2023. Later that year, SIAM members reelected Cherry to a second, three-year term as a council member at large. 

At Georgia Tech, Chow serves as the associate chair of the School of CSE. Cherry, who recently became the associate dean for graduate education of the College of Computing, continues as the director of CSE programs. 

“With our strong emphasis on developing and applying computational tools and techniques to solve real-world problems, researchers in the School of CSE are well positioned to serve as leaders in computational science and engineering both within Georgia Tech and in the broader professional community,” Cherry said. 

Georgia Tech’s School of CSE was first organized as a division in 2005, becoming one of the world’s first academic departments devoted to the discipline. The division reorganized as a school in 2010 after establishing the flagship CSE Ph.D. and M.S. programs, hiring nine faculty members, and attaining substantial research funding.

Ten School of CSE faculty members are presenting research at CSE25, representing one-third of the School’s faculty body. Of the 23 accepted papers written by Georgia Tech researchers, 15 originate from School of CSE authors.

The list of School of CSE researchers, paper titles, and abstracts includes:
Bayesian Optimal Design Accelerates Discovery of Material Properties from Bubble Dynamics
Postdoctoral Fellow Tianyi Chu, Joseph Beckett, Bachir Abeid, and Jonathan Estrada (University of Michigan), Assistant Professor Spencer Bryngelson
[Abstract]

Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data
Ph.D. student Phillip Si, Assistant Professor Peng Chen
[Abstract]

A Goal-Oriented Quadratic Latent Dynamic Network Surrogate Model for Parameterized Systems
Yuhang Li, Stefan Henneking, Omar Ghattas (University of Texas at Austin), Assistant Professor Peng Chen
[Abstract]

Posterior Covariance Structures in Gaussian Processes
Yuanzhe Xi (Emory University), Difeng Cai (Southern Methodist University), Professor Edmond Chow
[Abstract]

Robust Digital Twin for Geological Carbon Storage
Professor Felix Herrmann, Ph.D. student Abhinav Gahlot, alumnus Rafael Orozco (Ph.D. CSE-CSE 2024), alumnus Ziyi (Francis) Yin (Ph.D. CSE-CSE 2024), and Ph.D. candidate Grant Bruer
[Abstract]

Industry-Scale Uncertainty-Aware Full Waveform Inference with Generative Models
Rafael Orozco, Ph.D. student Tuna Erdinc, alumnus Mathias Louboutin (Ph.D. CS-CSE 2020), and Professor Felix Herrmann
[Abstract]

Optimizing Coupled Systems: Insights from Co-Design Imaging and Optical Chemistry
Assistant Professor Raphaël Pestourie, Wenchao Ma and Steven Johnson (MIT), Lu Lu (Yale University), Zin Lin (Virginia Tech)
[Abstract]

Multifidelity Linear Regression for Scientific Machine Learning from Scarce Data
Assistant Professor Elizabeth Qian, Ph.D. student Dayoung Kang, Vignesh Sella, Anirban Chaudhuri and Anirban Chaudhuri (University of Texas at Austin)
[Abstract]

LyapInf: Data-Driven Estimation of Stability Guarantees for Nonlinear Dynamical Systems
Ph.D. candidate Tomoki Koike and Assistant Professor Elizabeth Qian
[Abstract]

The Information Geometric Regularization of the Euler Equation
Alumnus Ruijia Cao (B.S. CS 2024), Assistant Professor Florian Schäfer
[Abstract]

Maximum Likelihood Discretization of the Transport Equation
Ph.D. student Brook Eyob, Assistant Professor Florian Schäfer
[Abstract]

Intelligent Attractors for Singularly Perturbed Dynamical Systems
Daniel A. Serino (Los Alamos National Laboratory), Allen Alvarez Loya (University of Colorado Boulder), Joshua W. Burby, Ioannis G. Kevrekidis (Johns Hopkins University), Assistant Professor Qi Tang (Session Co-Organizer)
[Abstract]

Accurate Discretizations and Efficient AMG Solvers for Extremely Anisotropic Diffusion Via Hyperbolic Operators
Golo Wimmer, Ben Southworth, Xianzhu Tang (LANL), Assistant Professor Qi Tang 
[Abstract]

Randomized Linear Algebra for Problems in Graph Analytics
Professor Rich Vuduc
[Abstract]

Improving Spgemm Performance Through Reordering and Cluster-Wise Computation
Assistant Professor Helen Xu
[Abstract]

Jud Ready first visited Beaverbrook Park for an adopt-a-stream event as a graduate student. When he moved to the northwest Atlanta neighborhood, he got involved with improvement efforts at the park. 

“It was a muddy mess back then. Over time, we added an exercise trail, playgrounds, a gazebo, and ball fields, but we didn't have a place where you could just walk through the woods,” Ready said. The problem? A creek prevented easy passage, and the park lacked a bridge to cross it.

Despite receiving a grant from Park Pride, a nonprofit that helps residents improve their parks, Ready realized it wasn’t nearly enough money to build a bridge over the rushing waters. Then Ready, a principal research engineer at the Georgia Tech Research Institute with a joint appointment in the School of Materials Science and Engineering, learned that one of his colleagues was using decommissioned wind turbine blades for bridges.

For eight years, Russell Gentry, a professor in the School of Architecture and a member of the Re-Wind Network, has explored how to upcycle wind turbine blades into functional infrastructure. Re-Wind, an international organization, has constructed two bridges in Ireland, where wind energy is more prevalent. The Beaverbrook bridge is the first in the U.S., but building it hasn’t been a simple copy-and-paste process from across the Atlantic Ocean.

“It's not recycling because we're not taking the material back to its original state; it's really adaptive reuse,” explained Gentry. “Think of it as the difference between wood and paper. You can take a tree and grind it up finely for paper, but if you leave it in its original form, you have wood. It’s a much more capable material from a structural perspective.” 

Like almost everything in America, the blades are bigger than their European counterparts.  The 15-meter blade weighs around 7,000 pounds, so moving it from its first home in a Colorado wind farm to a Georgia public park was no easy feat. With funding from the National Science Foundation, the Department of Energy, and wind turbine manufacturer Siemens Gamesa, Ready and Gentry established a team of a dozen Georgia Tech students, researchers, and alumni to bring the blade to Beaverbrook Park. 

Cayleigh Nicholson (architecture), Sakshi Kakkad (computing and architecture), who both graduated in 2024, and fourth-year civil engineering student Gabriel Ackall made sure the bridge was engineered well and that it complied with city regulations. Nicholson spent a semester surveying Beaverbrook to determine the best path and placement of the bridge. Kakkad developed software to better understand the geometry of the blade and position it in the bridge. Ackall was involved in the design process, working with the foundation contractor, Cantsink, to calculate stresses and deflections in the BladeBridges.  

“We’ve essentially had to design the entire structural system of the bridge from scratch, as existing building and bridge codes do not have much information about either the composite materials used in wind turbine blades or in adaptive reuse for new construction,” Ackall noted. “We used advanced modeling software combined with the knowledge we’ve gained from over a half dozen years of wind turbine blade testing and prototyping to make the bridge a reality and ensure their safety.” 

Even alumnus Tierson Boutte, CE 2002, who owns the tree company Boutte Tree, helped make the installation possible. “We’re grateful to be able to give back to the community by pruning the trees for the crane to be able to lift the turbine blades,” he said. 

On a sunny day in mid-March, the bridge was installed with a combined crew of 16 from Chappell Construction, led by alumnus  Wade Chappell, IE  2000; Williams Erection Company, owned by alumnus Art Williams, CE 1983; and ironworkers from Local 387. Finally, with a little help from an unusual source, a neighborhood can fully enjoy its park.

Video by Maxwell Guberman 
Photos by Allison Carter

The Georgia Institute of Technology recently joined the National Semiconductor Technology Center (NSTC), a public-private consortium dedicated to supporting and extending U.S. leadership in semiconductor research, design, engineering, and advanced manufacturing. This collaboration aligns with Georgia Tech's commitment to fostering innovation and driving economic growth through cutting-edge research and development.

"Joining the NSTC is a significant milestone for Georgia Tech," said George White, senior director for strategic partnerships. "This partnership will enable us to collaborate with leading experts in the semiconductor field, drive groundbreaking research, and contribute to the advancement of semiconductor technology in the U.S."

The NSTC is operated by Natcast (National Center for the Advancement of Semiconductor Technology) and supported by the Department of Commerce through the CHIPS and Science Act. NSTC brings together key stakeholders from academia, industry, and government to create a robust semiconductor ecosystem. As a member, Georgia Tech will have access to a wide range of benefits, including research grant opportunities, participation in NSTC-led research projects, and access to state-of-the-art facilities and resources.

Georgia Tech's involvement in the NSTC will focus on several key areas, including workforce development, research and development initiatives, and fostering collaboration between academia and industry. By participating in the NSTC, Georgia Tech aims to enhance its research capabilities, support the growth of the semiconductor industry, and contribute to national economic and security goals.

Learn more about CHIPS initiatives at Georgia Tech:

$100M Investment Will Propel Absolics Inc., Georgia Tech’s Advanced Packaging Research

Georgia Tech Joins $840M DoD Project to Develop and Manufacture Next-gen Semiconductor Microsystems

Semiconductor Research Corp. and Georgia Tech Secure $285M SMART USA Institute