Jan. 29, 2026
CSE in 2026

While not as highlight-reel worthy as the Winter Olympics and the World Cup, experts expect high-performance computing (HPC) to have an even bigger impact on daily life in 2026.

Georgia Tech researchers say HPC and artificial intelligence (AI) advances this year are poised to improve how people power their homes, design safer buildings, and travel through cities.

According to Qi Tang, scientists will take progressive steps toward cleaner, sustainable energy through nuclear fusion in 2026. 

“I am very hopeful about the role of advanced computing and AI in making fusion a clean energy source,” said Tang, an assistant professor in the School of Computational Science and Engineering (CSE)

“Fusion systems involve many interconnected processes happening across different scales. Modern simulations, combined with data-driven methods, allow us to bring these pieces together into a unified picture.”

Tang’s research connects HPC and machine learning with fusion energy and plasma physics. This year, Tang is continuing work on large-scale nuclear fusion models.

Only a few experimental fusion reactors exist worldwide compared to more than 400 nuclear fission reactors. Tang’s work supports a broader effort to turn fusion from a promising idea into a practical energy source.

Nuclear fusion occurs in plasma, the fourth state of matter, where gas is heated to millions of degrees. In this extreme state, electrons are stripped from atoms, creating a hot soup of fast-moving ions and free electrons. In plasma, hydrogen atoms overcome their natural electrical repulsion, collide, and fuse together. This releases energy that can power cities and homes.

Computers interpret extreme temperatures, densities, pressures, and plasma particle motion as massive datasets. Tang works to assimilate these data types from computer models and real-world experiments.

To do this, he and other researchers rely on machine learning approaches to analyze data across models and experiments more quickly and to produce more accurate predictions. Over time, this will allow scientists to test and improve fusion reactor designs toward commercial use. 

Beyond energy and nuclear engineering, Umar Khayaz sees broader impacts for HPC in 2026.

“HPC is the need of the day in every field of engineering sciences, physics, biology, and economics,” said Khayaz, a CSE Ph.D. student in the School of Civil and Environmental Engineering

“HPC is important enough to say that we need to employ resources to also solve social problems.”

Khayaz studies dynamic fracture and phase-field modeling. These areas explore how materials break under sudden, rapid loads. 

Like nuclear fusion, Khayaz says dynamic fracture problems are complex and data-intensive. In 2026, he expects to see more computing resources and computational capabilities devoted to understanding these problems and other emerging civil engineering challenges.

CSE Ph.D. student Yiqiao (Ahren) Jin sees a similar relationship between infrastructure and self-driving vehicles. He believes AI will innovate this area in 2026.

At Georgia Tech, Jin develops efficient multimodal AI systems. An autonomous vehicle is a multimodal system that uses camera video, laser sensors, language instructions, and other inputs to navigate city streets under changing scenarios like traffic and weather patterns.

Jin says multimodal research will move beyond performance benchmarks this year. This shift will lead to computer systems that can reason despite uncertainty and explain their decisions. In result, engineers will redefine how they evaluate and deploy autonomous systems in safety-critical settings.

“Many foundational problems in perception, multimodal reasoning, and agent coordination are being actively addressed in 2026. These advances enable a transition from isolated autonomous systems to safer, coordinated autonomous vehicle fleets,” Jin said. 

“As these systems scale, they have the potential to fundamentally improve transportation safety and efficiency.”

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Bryant Wine, Communications Officer
bryant.wine@cc.gatech.edu

Jan. 28, 2026
During a research session, a participant looks at a monitor and imagines saying the text cue displayed on screen. Text below the cue shows the brain-computer interface’s prediction of her imagined words.

During a research session, a participant imagines saying the text cue on the screen. The bottom text is the brain-computer interface’s prediction of the imagined words. (Photo courtesy: Chethan Pandarinath)

Last summer, a team of researchers reported using a brain-computer interface to detect words people with paralysis imagined saying, even without them physically attempting to speak. They also found they could differentiate between the imagined words they wished to express and the person’s private inner thoughts.

It’s a significant step toward helping people with diseases like amyotrophic lateral sclerosis, or ALS, reconnect with language after they’ve lost the ability to talk. And it’s part of a long-running clinical trial on brain-computer interfaces involving biomedical engineers from Georgia Tech and Emory University alongside collaborators at Stanford University, Massachusetts General Hospital, Brown University, and the University of California, Davis. 

Together, they’re exploring how implanted devices can read brain signals and help patients use assistive devices to recover some of their lost abilities.

Speech has become one of the hottest areas for these interfaces as scientists leverage the power of artificial intelligence, according to Chethan Pandarinath, associate professor in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory and one of the researchers involved in the trials.

“We can place electrodes in parts of the brain that are related to speech,” he said, “and even if the person has lost the ability to talk, we can pick up the electrical activity as they try to speak and figure out what they’re trying to say.”

Read the full story in Helluva Engineer magazine.

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Joshua Stewart
College of Engineering

Jan. 22, 2026
Students visited Lachung and Chungthang in Sikkim, India. Upstream in the Teesta Valley, students examined how steep terrain and river confinement amplify flood forces and how failures can cascade across an entire corridor of infrastructure.

Students visited Lachung and Chungthang in Sikkim, India. Upstream in the Teesta Valley, students examined how steep terrain and river confinement amplify flood forces and how failures can cascade across an entire corridor of infrastructure.

Downstream in the town Dikchu in Sikkim, India, the class focused on community-scale consequences: damaged buildings, disrupted access, and long recovery timelines.

Downstream in the town Dikchu in Sikkim, India, the class focused on community-scale consequences: damaged buildings, disrupted access, and long recovery timelines.

Rangpo in Sikkim, India offered a view of recovery in motion such as materials staged for rebuilding near bridges and roads that keep commerce and emergency response moving.

Rangpo in Sikkim, India offered a view of recovery in motion such as materials staged for rebuilding near bridges and roads that keep commerce and emergency response moving.

In Kathmandu Valley, Nepal, the course broadened from hazard impacts to cultural context, exploring how heritage, governance, and everyday use of public space shape resilience.

In Kathmandu Valley, Nepal, the course broadened from hazard impacts to cultural context, exploring how heritage, governance, and everyday use of public space shape resilience.

School of Civil and Environmental Engineering students captured 360 media, using Filio, to study disaster sites in India and Nepal. Photos provided by Roozbahani.

School of Civil and Environmental Engineering students captured 360 media, using Filio, to study disaster sites in India and Nepal. Photos provided by Roozbahani.

An AI-powered tool is changing how researchers study disasters and how students learn from them. 

In the International Disaster Reconnaissance (IDR) course, students now use Filio, a platform built by School of Computing Instruction Senior Lecturer Max Mahdi Roozbahani, to capture immersive 360° media, photos, and video that transform real disaster sites in India and Nepal into living digital classrooms. 

Offered by the School of Civil and Environmental Engineering and taught by IDR director and Regents’ Professor David Frost, the course pairs traditional fieldwork with Roozbahani’s expertise in immersive technology and data-driven learning, transforming on-the-ground observations into reusable, interactive educational resources. 

How Computing Can Capture Data 

Disasters are not only physical events; they are also information events, Roozbahani says. Effective response and long-term resilience depend on the ability to observe, record, and communicate critical data under pressure. Georgia Tech’s IDR course pairs structured on-campus preparation with international field experiences, enabling students to study the cascading effects of major disasters, including how local building practices, governance, and culture shape damage and recovery. 

“When students step into a disaster zone, they learn quickly that resilience is a systems problem: physical, social, and informational. Our job in computing is to help them capture and reason about that system responsibly,” Roozbahani said. 

Learning from the 2025 Himalayas Expedition 

During spring break last year, the cohort traveled along the Teesta River corridor in Sikkim, India. The region is shaped by steep terrain, fast-moving water, and critical infrastructure in narrow valleys. 

The visit followed the October 2023 glacial lake outburst flood from South Lhonak Lake, which destroyed the Teesta III hydropower dam and impacted downstream towns, including Dikchu and Rangpo. Field stops across India included Lachung, Chungthang, Dikchu, Rangpo, Gangtok, and New Delhi. 

Students explored both upstream and downstream consequences. 

Upstream, the team examined how steep terrain and river confinement amplify flood forces, creating cascading risks for infrastructure. Using Filio’s interactive 360° media, students captured conditions in Lachung and Chungthang, allowing viewers to explore the landscape through a 360° photo and 360° video that reveal how topography and river dynamics intensify disaster impacts. 

They studied community-scale effects downstream, including damaged buildings, disrupted access, and prolonged recovery timelines. 

Rangpo offered a glimpse of recovery in motion, with materials staged for rebuilding bridges and roads essential to commerce and emergency response.

Using Immersive Media as a Learning Tool 

Students documented their field experience using Filio, an AI-powered visual reporting platform developed by Roozbahani through Georgia Tech’s CREATE-X ecosystem. Filio captures high-resolution photos, video, and 360° immersive media, preserving both the facts and the context of disaster sites; what the site felt like, what was lost, and what communities prioritized in recovery.  

“A 360° capture lets students return months later and ask better questions. That second look is where learning accelerates,” Roozbahani said. 

Supported by alumni and faculty mentors, including Tech alumnus Chris Klaus and Georgia Tech mentor Bill Higginbotham, the platform is evolving into a reusable educational library for future courses on immersive technology, responsible AI, and global resilience. 

Kathmandu: The Context of Culture 

The course concluded in Kathmandu, Nepal, where students examined how heritage, governance, and the everyday use of public space shape resilience. 

Through Filio’s immersive documentation — including a 360° photo and 360° video from Kathmandu — the focus broadened from hazard impacts to cultural context, highlighting how recovery is not only about rebuilding structures, but also about preserving identity, memory, and community.

Looking Ahead: A Growing Resource for All Students 

Frost and Roozbahani envision the IDR immersive media library as a reusable resource for students even when they cannot travel, supporting future courses on immersive technology, responsible AI, and global resilience. Spring 2026 cohorts will continue to build on this foundation by documenting, analyzing, and sharing insights that can improve education and real-world disaster response. 

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Emily Smith
College of Computing
Georgia Tech

Jan. 22, 2026
Today’s power grid equipment incorporates internet-connected – and therefore hackable – computers. Joe Raedle/Getty Images

Today’s power grid equipment incorporates internet-connected – and therefore hackable – computers. Joe Raedle/Getty Images

The darkness that swept over the Venezuelan capital in the predawn hours of Jan. 3, 2026, signaled a profound shift in the nature of modern conflict: the convergence of physical and cyber warfare. While U.S. special operations forces carried out the dramatic seizure of Venezuelan President Nicolás Maduro, a far quieter but equally devastating offensive was taking place in the unseen digital networks that help operate Caracas.

The blackout was not the result of bombed transmission towers or severed power lines but rather a precise and invisible manipulation of the industrial control systems that manage the flow of electricity. This synchronization of traditional military action with advanced cyber warfare represents a new chapter in international conflict, one where lines of computer code that manipulate critical infrastructure are among the most potent weapons.

To understand how a nation can turn an adversary’s lights out without firing a shot, you have to look inside the controllers that regulate modern infrastructure. They are the digital brains responsible for opening valves, spinning turbines and routing power.

For decades, controller devices were considered simple and isolated. Grid modernization, however, has transformed them into sophisticated internet-connected computers. As a cybersecurity researcher, I track how advanced cyber forces exploit this modernization by using digital techniques to control the machinery’s physical behavior.

Hijacked Machines

My colleagues and I have demonstrated how malware can compromise a controller to create a split reality. The malware intercepts legitimate commands sent by grid operators and replaces them with malicious instructions designed to destabilize the system.

For example, malware could send commands to rapidly open and close circuit breakers, a technique known as flapping. This action can physically damage massive transformers or generators by causing them to overheat or go out of sync with the grid. These actions can cause fires or explosions that take months to repair.

Simultaneously, the malware calculates what the sensor readings should look like if the grid were operating normally and feeds these fabricated values back to the control room. The operators likely see green lights and stable voltage readings on their screens even as transformers are overloading and breakers are tripping in the physical world. This decoupling of the digital image from physical reality leaves defenders blind, unable to diagnose or respond to the failure until it is too late.

people wearing hardhats in front of electrical equipment the size of a small house

Today’s electrical transformers are accessible to hackers. GAO

Historical examples of this kind of attack include the Stuxnet malware that targeted Iranian nuclear enrichment plants. The malware destroyed centrifuges in 2009 by causing them to spin at dangerous speeds while feeding false “normal” data to operators.

Another example is the Industroyer attack by Russia against Ukraine’s energy sector in 2016. Industroyer malware targeted Ukraine’s power grid, using the grid’s own industrial communication protocols to directly open circuit breakers and cut power to Kyiv.

More recently, the Volt Typhoon attack by China against the United States’ critical infrastructure, exposed in 2023, was a campaign focused on pre-positioning. Unlike traditional sabotage, these hackers infiltrated networks to remain dormant and undetected, gaining the ability to disrupt the United States’ communications and power systems during a future crisis.

To defend against these types of attacks, the U.S. military’s Cyber Command has adopted a “defend forward” strategy, actively hunting for threats in foreign networks before they reach U.S. soil.

Domestically, the Cybersecurity and Infrastructure Security Agency promotes “secure by design” principles, urging manufacturers to eliminate default passwords and utilities to implement “zero trust” architectures that assume networks are already compromised.

Supply Chain Vulnerability

Nowadays, there is a vulnerability lurking within the supply chain of the controllers themselves. A dissection of firmware from major international vendors reveals a significant reliance on third-party software components to support modern features such as encryption and cloud connectivity.

This modernization comes at a cost. Many of these critical devices run on outdated software libraries, some of which are years past their end-of-life support, meaning they’re no longer supported by the manufacturer. This creates a shared fragility across the industry. A vulnerability in a single, ubiquitous library like OpenSSL – an open-source software toolkit used worldwide by nearly every web server and connected device to encrypt communications – can expose controllers from multiple manufacturers to the same method of attack.

Modern controllers have become web-enabled devices that often host their own administrative websites. These embedded web servers present an often overlooked point of entry for adversaries.

Attackers can infect the web application of a controller, allowing the malware to execute within the web browser of any engineer or operator who logs in to manage the plant. This execution enables malicious code to piggyback on legitimate user sessions, bypassing firewalls and issuing commands to the physical machinery without requiring the device’s password to be cracked.

The scale of this vulnerability is vast, and the potential for damage extends far beyond the power grid, including transportation, manufacturing and water treatment systems.

Using automated scanning tools, my colleagues and I have discovered that the number of industrial controllers exposed to the public internet is significantly higher than industry estimates suggest. Thousands of critical devices, from hospital equipment to substation relays, are visible to anyone with the right search criteria. This exposure provides a rich hunting ground for adversaries to conduct reconnaissance and identify vulnerable targets that serve as entry points into deeper, more protected networks.

The success of recent U.S. cyber operations forces a difficult conversation about the vulnerability of the United States. The uncomfortable truth is that the American power grid relies on the same technologies, protocols and supply chains as the systems compromised abroad.

The U.S. power grid is vulnerable to hackers.

Regulatory Misalignment

The domestic risk, however, is compounded by regulatory frameworks that struggle to address the realities of the grid. A comprehensive investigation into the U.S. electric power sector my colleagues and I conducted revealed significant misalignment between compliance with regulations and actual security. Our study found that while regulations establish a baseline, they often foster a checklist mentality. Utilities are burdened with excessive documentation requirements that divert resources away from effective security measures.

This regulatory lag is particularly concerning given the rapid evolution of the technologies that connect customers to the power grid. The widespread adoption of distributed energy resources, such as residential solar inverters, has created a large, decentralized vulnerability that current regulations barely touch.

Analysis supported by the Department of Energy has shown that these devices are often insecure. By compromising a relatively small percentage of these inverters, my colleagues and I found that an attacker could manipulate their power output to cause severe instabilities across the distribution network. Unlike centralized power plants protected by guards and security systems, these devices sit in private homes and businesses.

Accounting for the Physical

Defending American infrastructure requires moving beyond the compliance checklists that currently dominate the industry. Defense strategies now require a level of sophistication that matches the attacks. This implies a fundamental shift toward security measures that take into account how attackers could manipulate physical machinery.

The integration of internet-connected computers into power grids, factories and transportation networks is creating a world where the line between code and physical destruction is irrevocably blurred.

Ensuring the resilience of critical infrastructure requires accepting this new reality and building defenses that verify every component, rather than unquestioningly trusting the software and hardware – or the green lights on a control panel.The Conversation

 

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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Author:

Saman Zonouz, Associate Professor of Cybersecurity and Privacy and Electrical and Computer Engineering, Georgia Institute of Technology

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Shelley Wunder-Smith
shelley.wunder-smith@research.gatech.edu

Jan. 21, 2026
Researcher tests improved vacuum chamber

GTRI Research Scientist Darian Hartsell makes adjustments to an improved cryogenic vacuum chamber that helps reduce some common noise sources by isolating ions from vibrations and shielding them from magnetic field fluctuations. (Credit: Sean McNeil, GTRI)

Even very slight environmental noise, such as microscopic vibrations or magnetic field fluctuations a hundred times smaller than the Earth’s magnetic field, can be catastrophic for quantum computing experiments with trapped ions.
 

To address that challenge, researchers at the Georgia Tech Research Institute (GTRI) have developed an improved cryogenic vacuum chamber that helps reduce some common noise sources by isolating ions from vibrations and shielding them from magnetic field fluctuations. The new chamber also incorporates an improved imaging system and a radio frequency (RF) coil that can be used to drive ion transitions from within the chamber. 
 

“There’s a lot of excitement around quantum computing today, and trapped ions are just one of the research platforms available, each with their own benefits and drawbacks,” explained Darian Hartsell, a GTRI research scientist who leads the project. “We are trying to mitigate multiple sources of noise in this chamber and make other improvements with one robust new design.”
 

The chamber design is described in a paper published January 20, 2026 in the journal Applied Physics Letters. Some of the technical improvements developed for the project are already being applied at GTRI and collaborating organizations. This work was done in collaboration with Los Alamos National Laboratory.
 

The goal of the vibration isolation is to reduce the laser amplitude and phase noise when addressing the ions, increasing operation fidelity. The goal of the magnetic field noise reduction is to preserve the coherence of qubits for longer periods of time so researchers can use them for more complex algorithms.

See the complete article on the GTRI news site


 

Jan. 20, 2026
Milton at podium

Milton Mueller speaking at the AI Governance and Global Economic Development, an official pre-summit event of the AI Impact Summit 2026.

Ever since ChatGPT’s debut in 2023, concerns about artificial intelligence (AI) potentially wiping out humanity have dominated headlines. New research from Georgia Tech suggests that those anxieties are misplaced.

“Computer scientists often aren’t good judges of the social and political implications of technology,” said Milton Mueller, a professor in the Jimmy and Rosalynn Carter School of Public Policy. “They are so focused on the AI’s mechanisms and are overwhelmed by its success, but they are not very good at placing it into a social and historical context.”

In the four decades Mueller has studied information technology policy, he has never seen any technology hailed as a harbinger of doom — until now. So, in a Journal of Cyber Policy paper published late last year, he researched whether the existential AI threat was a real possibility. 

What Mueller found is that deciding how far AI can go, and its limitations, is something society shapes. How policymakers get involved depends on the specific AI application. 

Defining Intelligence

The AI sparking all this alarm is called artificial general intelligence (AGI) — a “superintelligence” that would be all-powerful and fully autonomous. Part of the debate, Mueller realized, is that no one could agree on the definition of what artificial general intelligence is. 

Some computer scientists claim AGI would match human intelligence, while others argue it could surpass it. Both assumptions hinge on what “human intelligence” really means. Today’s AI is already better than humans at performing thousands of calculations in an instant, but that doesn’t make it creative or capable of complex problem-solving. 

Understanding Independence 

Deciding on the definition isn’t the only issue. Many computer scientists assume that as computing power grows, AI could eventually overtake humans and act autonomously.

Mueller argued that this assumption is misguided. AI is always directed or trained toward a goal and doesn’t act autonomously right now. Think of the prompt you type into ChatGPT to start a conversation. 

When AI seems to disregard instructions, it’s caused by inconsistencies in its instructions, not by the machine coming alive. For example, in a boat race video game Mueller studied, the AI discovered it could get more points by circling the course instead of winning the race against other challengers. This was a glitch in the system’s reward structure, not AGI autonomy.

“Alignment gaps happen in all kinds of contexts, not just AI,” Mueller said. “I've studied so many regulatory systems where we try to regulate an industry, and some clever people discover ways that they can fulfill the rules but also do bad things. But if the machine is doing something wrong, computer scientists can reprogram it to fix the problem.”

Relying on Regulation

In its current form, even misaligned AI can be corrected. Misalignment also doesn’t mean the AI would snowball past the point where humans lose control of its outcomes. To do that, AI would need to have a physical capability, like robots, to do its bidding, and the power source and infrastructure to maintain itself. A mere data center couldn’t do that and would need human intervention to become omnipotent. Basic laws of physics — how big a machine can be, how much it can compute — would also prevent a super AI. 

More importantly, AI is not one homogenous being. Mueller argued that different applications involve different laws, regulations, and social institutions. For example, the data scraping AI does is a copyright issue subject to copyright laws. AI used in medicine can be overseen by the Food and Drug Administration, regulated drug companies, and medical professionals. These are just a few areas where policymakers could intervene from a specific expertise level instead of trying to create universal AI regulations. 

The real challenge isn’t stopping an AI apocalypse — it’s crafting smart, sector-specific policies that keep technology aligned with human values. To avoid being a victim of AI, humans can, and should, put up focused guardrails. 

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Tess Malone
Senior Research Writer/Editor
Georgia Tech
tess.malone@gatech.edu

Jan. 12, 2026
Georgia Tech student Yash Rajgure using an Apple Vision Pro headset device to demo his team's project.

Georgia Tech student Yash Rajgure using an Apple Vision Pro headset device to demo his team's project in ECE 6001 Technology Entrepreneurship: Teaming, Ideation, and Entrepreneurship. Photo: Allison Carter, Georgia Tech

Alex Gallmon showing how Apple Vision Pro can be utilized

Gallmon showing how Apple Vision Pro can be utilized to train students and workers on sensitive and expensive technical equipment, in this case a cleanroom vacuum system.

Learning electrical and computer engineering has always come with a unique challenge: many of its foundational concepts — electric fields, magnetic forces, semiconductor behavior — are invisible to the naked eye and difficult to visualize.  

To make these invisible principles tangible, students in the School of Electrical and Computer Engineering have long used specialized tools and software. Circuit simulators model voltage and current, electromagnetic tools visualize fields, and semiconductor design platforms reveal transistor behavior. These tools turn abstract theory into interactive experiences that prepare students for real-world engineering challenges.

Now, Apple Vision Pro is joining this ecosystem.

The technology introduces spatial computing to learning environments, blending digital content with the physical world.

At the Institute for Matter and Systems, infrastructure lead Alex Gallmon, is collaborating with students and industry partners to create immersive digital twins—virtual models that replicate real-world systems—of semiconductor cleanroom equipment.  

“These machines are complex and costly, with parts that can run tens of thousands of dollars,” he said. “Even minor mistakes during operation can lead to expensive damage or downtime.” 

Gallmon's team built a virtual replica of a cleanroom vacuum training system. The project serves as a prototype for a workforce development program aimed at high school and college students interested in careers in the semiconductor or vacuum technology fields. 

Read the full story from the School of Electrical and Computer Engineering

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Dan Watson | School of Electrical and Computer Engineering

Jan. 16, 2026
A real worm in a Petri dish (top left) and a robot worm (bottom right) clean their environments of tiny particles in a very similar manner.

A real worm in a Petri dish (top left) and a robot worm (bottom right) clean their environments of tiny particles in a very similar manner.

When centimeter-long aquatic worms, such as T. tubifex or Lumbriculus variegatus, are placed in a Petri dish filled with sub-millimeter sized sand particles, something surprising happens. Over time, the worms begin to spontaneously clean up their surroundings. They sweep particles into compact clusters, gradually reshaping and organizing their environment.

In a study recently published in Physical Review X, a team of researchers show that this remarkable sweeping behavior does not require a brain, or any kind of complex interaction between the worms and the particles. Instead, it emerges from the natural undulating motion and flexibility that the worms possess.

The study was co-led by Saad Bhamla, associate professor in Georgia Tech’s School of Chemical and Biomolecular Engineering, and Antoine Deblais of the University of Amsterdam.

Deblais said: “It is fascinating to see how living worms can organize their surroundings just by moving.” Bhamla added: “Their activity and flexibility alone are enough to collect particles and reshape their environment.”

By building simple robotic and computer models that mimic the living worms, the researchers discovered that only these two ingredients – activity and flexibility – are sufficient to reproduce the sweeping and collecting effects. The result is a self-organized, dynamic form of environmental restructuring driven purely by motion and shape.

Order emerges

The results do not just teach us a surprising lesson about worms. Understanding how these organisms spontaneously collect particles has much broader implications. On the technological side, what the researchers have learned could inspire the design of soft robots that clean or sort materials without needing sensors or pre-programmed intelligence. 

Such robots, like the worms, would simply move and let order emerge from motion. “Brainless” machines of this sort could perhaps one day help remove microplastics or sediments from aquatic environments, or perform complex tasks in unpredictable terrains. 

From a biological perspective, the results also offer insights into how elongated living organisms – not just worms, but also filamentous bacteria, or cytoskeletal filaments – can structure and modify their own habitats through simple physical interactions. Understanding this structuring and modifying behaviour has been a central question for, e.g., earthworms in their role in soil aeration.

From a biological perspective, the results also offer insights into how elongated living organisms – not just worms, but also filamentous bacteria, or cytoskeletal filaments – can structure and modify their own habitats through simple physical interactions. Understanding this structuring and modifying behaviour has been a central question for, e.g., earthworms in their role in soil aeration.

Team effort

This project grew out of curiosity about how living systems shape their environment without centralized control. Initial experiments with worms, conducted by Harry Tuazon (Bioengineering PhD 2024) at Georgia Tech, showed the unexpected particle collection patterns. This led the team to attempt to reproduce the behavior using robotic and simulated counterparts – something that worked surprisingly well. In the project, experimentalists and theorists worked side by side, allowing the team to uncover the physical principles behind this seemingly purposeful behavior. 

Co-first author Rosa Sinaasappel conducted the robot experiments at the University of Amsterdam. “By mimicking the worms’ motion with simple brainless robots connected by flexible rubber links, we could pinpoint the two ingredients that are essential for the sweeping mechanism,” she said.

Co-first author Prathyusha Kokkoorakunnel Ramankutty, a research scientist in the Bhamla Lab at Georgia Tech, performed the computer simulations of the behavior. “Our computational model, built on simple ingredients like propulsion and flexibility, shows that this principle works across different scales and can be adapted for new designs, as demonstrated by a soft robotic sweeper that autonomously ‘cleans’ and reorganizes particles without programmed intelligence,” she explained.

The researchers will continue to investigate this type of behaviour in the future. While a mathematical model of active sweeping is now presented in a simple form, many challenging questions raised by this complex system remain open for theoreticians.

Multiple groups of students helped greatly with the robot experiments, doing projects in the lab. Their efforts ranged from performing the experiments to replacing the in total about 200 batteries, after perhaps one of the most difficult tasks: wrestling them free from the child-proof packaging.

CITATION:

Particle Sweeping and Collection by Active and Living Filaments, Sinaasappel, R., Prathyusha, K. R., Tuazon, Harry, Mirzahossein, E., Illien, P., Bhamla, Saad, and A. Deblais. Physical Review X (2026)

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Brad Dixon, braddixon@gatech.edu

Jan. 16, 2026
Protesters have filled the streets in Iranian cities, but the regime’s internet shutdown means little news gets in or out of the country. MAHSA/Middle East Images/AFP via Getty Images

Protesters have filled the streets in Iranian cities, but the regime’s internet shutdown means little news gets in or out of the country. MAHSA/Middle East Images/AFP via Getty Images

The Iranian regime’s internet shutdown, initiated on Jan. 8, 2026, has severely diminished the flow of information out of the country. Without internet access, little news about the national protests that flared between Dec. 30, 2025, and Jan. 13, 2026, and the regime’s violent crackdown has reached the world. Many digital rights and internet monitoring groups have assessed the current shutdown to be the most sophisticated and most severe in Iran’s history.

We are a social scientist and two computer scientists at the Georgia Institute of Technology’s Internet Intelligence Lab who study internet connectivity.

Through the Internet Outage Detection and Analysis project, we have been measuring internet connectivity globally since 2011. The project was motivated by the internet shutdowns during the Arab Spring mass protests that began in December 2010 against Middle Eastern and North African regimes.

The project provides a public dashboard of internet connectivity measurements. Its long view of global internet connectivity offers insight into the Iranian regime’s developing sophistication in controlling information and shutting down the internet in the country.

Our measurements show that Iran has been in a complete internet shutdown since Jan. 8. This is longer than the 48½-hour shutdown in June 2025 during the Israel-Iran war and surpasses the duration of the November 2019 shutdown that lasted almost seven days. Compared to the two weeks of nightly mobile phone network shutdowns in September to October of 2022 during the Women, Life, Freedom protests, this shutdown is more complete by also closing down fixed-line connectivity.

Measuring Internet Connectivity

The Internet Outage Detection and Analysis project measures global internet connectivity through three signals related to internet infrastructure: routing announcements, active probing and internet background noise.

Core routers, unlike the router in your home, are responsible for directing traffic to and from networks. Routing announcements are how they communicate with each other. If a nation’s network of routers stop making these announcements, the network will disappear from the global internet.

We also measure the responsiveness of networks through probing. To create the probing signal, we continuously ping devices in millions of networks around the globe. Most devices are designed to automatically respond to these pings by echoing them back to the sender. We collect these responses and label networks as “connected/active.”

A tool we use dubbed “network telescope” captures internet background noise – traffic generated by hundreds of thousands of internet hosts worldwide. A drop in this signal can indicate an outage.

A History of Shutdowns

The first nationwide shutdown that the Internet Outage Detection and Analysis project observed in Iran was during the “Bloody November” uprising that happened in 2019. During that shutdown, the primary method the regime used was turning off routing announcements, which stopped all traffic between routers. This is a blunt force tool that makes the internet essentially go dark; no connectivity is possible for affected networks.

However, our measurement reporting showed differences in signal-drop patterns among the three data sources we track. These patterns demonstrate the regime’s adoption of diverse disconnection mechanisms and large differences in the timing of disconnection by various Iranian internet service providers (ISPs).

This reporting also showed evidence that the 2019 blackout was not complete and some people were able to circumvent it. Nevertheless, as documented by Amnesty International, the internet darkness created a “web of impunity” that allowed the regime to violate international human rights law without any accountability.

In September 2022, the Women, Life, Freedom protests erupted after the killing of Mahsa Amini in state custody. To suppress the nationwide mobilization without exacting a high cost, the Iranian regime implemented nightly shutdowns affecting only mobile networks. Keeping fixed-line internet connections online limited the impact of these shutdowns to mitigate the economic, political and social costs.

These nightly internet curfews lasted about two weeks. During this time the regime implemented other forms of censorship, specifically blocking applications to further control the information environment and to prevent access to technologies for circumventing censorship.

In June 2025, the Israel-Iran war began and we observed initial degradation in internet connectivity, which often occurs during times of conflict, when internet and power infrastructure are affected by missile attacks. The Iranian regime shut down the internet over four days, citing national security as its rationale.

That time, the regime did not use routing announcements to implement the shutdown. Our measurement data shows that routing announcements were largely unaffected. Instead, the Iranian regime implemented the shutdown by interfering with key protocols that allow the internet to function, including transport layer security and the domain name system.

The regime used these techniques to shut off Iran’s connectivity with the global internet while allowing specific, sanctioned access in a policy called whitelisting. This strategy shows an increased sophistication in how the Iranian regime implements shutdowns and controls the flow of information.

Organizations that support digital human rights in Iran report that some Iranians were able to circumvent the shutdown using virtual private networks and various censorship-resilient technologies such as peer-to-peer networks.

The Iranian regime has targeted Starlink satellite internet service in its internet shutdown.

Jan. 8, 2026

On Dec. 30, 2025, the Internet Outage Detection and Analysis project team received reports of internet disruptions amid the start of nationwide protests. At 8 p.m. Iran Standard Time on Jan. 8, 2026, the Iranian regime shut down the internet. Our measurements show a nominal amount of responsiveness to our active probing, about 3%. This small amount could be an artifact of our measurements or lingering connectivity for whitelisted access, for example for Iranian government officials and services.

Outside of very limited whitelisted connectivity, digital human rights groups reported severely limited access to the internet both internationally and domestically. According to digital rights group Project Ainita, the Iranian regime implemented the shutdown by interfering with transport layer security and the domain name system. In addition, landline phone calls have been only intermittently available.

Aside from these more sophisticated techniques, this shutdown evokes the Bloody November shutdown of 2019 in that it has been ordered during a time of protest with mass civilian casualties.

Jammed Satellites

Since Russia’s full-scale invasion of Ukraine in 2022, low Earth orbit satellite services, such as Starlink, can help people maintain internet connectivity during outages and government-ordered shutdowns. These satellite services can allow users to bypass damaged or state-censored terrestrial internet infrastructure.

However, accessing the internet via satellite services during a shutdown is not without risk. User terminals communicate with satellites via radio frequency links that can be detected through surveillance, for example from planes or drones, potentially exposing users’ locations and putting them at risk of being identified. Currently, the Iranian regime is using jammers to degrade the Starlink connection.

One of the most significant barriers to connecting users in Iran to satellite services is a logistical one. Providing connectivity via Starlink’s service would require distributing a large number of user terminals within the country, a feat that would be difficult because the devices are likely to be considered illegal contraband by the government. This severely limits the scale at which such services can be adopted.

Recent technological developments, however, may partially mitigate this challenge. Starlink’s direct-to-cell capability, which aims to provide LTE cellular connectivity directly to ordinary cellphones, could reduce dependence on specialized hardware. If they become widely available, such systems would allow users to connect using common devices already in circulation, sidestepping one of the most difficult barriers to providing connectivity.

Like other radio-based communications, however, direct-to-cell connectivity would remain vulnerable to signal jamming and other forms of electronic interference by the government.

For the time being, the Iranian regime controls the country’s internet infrastructure, which means it still has a virtual off switch.The Conversation

 

This article is republished from The Conversation under a Creative Commons license. Read the original article.

News Contact

News Contact
Authors:

Amanda Meng, Senior Research Scientist, College of Computing, Georgia Institute of Technology

Alberto Dainotti, Associate Professor of Computer Science, Georgia Institute of Technology

Zachary Bischof, Senior Research Scientist, College of Computing, Georgia Institute of Technology

Media Contact:

Shelley Wunder-Smith
shelley.wunder-smith@research.gatech.edu

Jan. 15, 2026
Jennifer Kim

People with autism seeking employment may soon have access to a new AI-based job-coaching tool thanks to a six-figure grant from the National Science Foundation (NSF).

Jennifer Kim and Mark Riedl recently received a $500,000 NSF grant to develop large language models (LLMs) that provide strength-based job coaching for autistic job seekers. 

The two Georgia Tech researchers work with Heather Dicks, a career development advisor in Georgia Tech’s EXCEL program, and other nonprofit organizations to provide job-seeking resources to autistic people.

Dicks said the average job search for people with autism can take three to six months in a good economy. It can take up to 18 months in a bad one. However, the new LLMs from Georgia Tech could help to reduce stress and fast-track these job seekers into employment.

Kim is an assistant professor who specializes in human-computer interaction technology that benefits neurodivergent people. Riedl is a professor and an expert in the development of artificial intelligence (AI) and machine learning technologies.

The team’s goal is to identify job-search pain points and understand how job coaches create better employment prospects for their autistic clients.

“Large-language models have an opportunity to support this kind of work if we can have more data about each different individual strength,” Kim said.

“We want to know what worked for them in specific settings at work, what didn’t work, and what kind of accommodations can better help them. That includes how they should prepare for interviews, how they can better represent their skills, how they can address accommodations they need, and how to write a cover letter. It’s a broad range.”

Dicks has advocated for neurodivergent people and helped them find employment for 20 years. She worked at the Center for the Visually Impaired in Atlanta before coming to Georgia Tech in 2017.

She said most nonprofits that support neurodivergent people offer career development programs and many contract job coaches, but limited coach availability often leads to long waitlists. However, LLMs could fill this availability gap to address the immediate needs of job seekers who may not have access to a job coach.

“These organizations often run at a slow pace, and there’s high turnover,” Dicks said. “An AI tool could get the job seeker quicker support. Maybe they don’t even need to wait on the government system.

“If they’re on a waitlist, it can help the user put together a resume and practice general interview questions. When the job coach is ready to work with them, they’re able to hit the ground running.”

Nailing the Interview

Dicks said the job interview is one of the biggest challenges for people with autism.

“They have trouble picking up on visual and nonverbal cues — the tone of the interview, figuring out the nuances that a question is hinting at,” she said. “They’re not giving the warm and fuzzy vibes that allow them to connect on a personal level.”

That’s why Kim wants the models to reflect a strength-based coaching approach. Strength-based coaching is particularly effective for individuals with autism. Many possess traits that employers value. These include:

  • Close attention to detail
  • Strong technical proficiency
  • Unique problem-solving perspectives

“The issue is that they don’t know how these strengths can be applied in the workplace,” Kim said. “Once they understand this, they can communicate with employers about their strengths and the accommodations employers should provide to the job seeker so they can successfully apply their skills at work.”

Handling Rejection

Still, Kim understands that candidates will need to handle rejection to make it through the search process. She envisions LLMs that help them refocus their energy and regain their confidence after being turned down.

“When you get a lot of rejection emails, it’s easy to feel you’re not good enough,” she said. “Being constantly reminded about your strengths and their prior successes can get them through the stressful job-seeking process.”

Dicks said the models should also be able to provide feedback so that candidates don’t repeat mistakes.

“It can tell them what would’ve been a better answer or a better way to say it,” Dicks said. “It can also encourage them with reminders that you get 100 noes before you get a yes.”

You’re Hired, Now What?

Dicks said the role of a job coach doesn’t end the moment a client is hired. Government-contracted job coaches may work with their clients for up to 90 days after they start a new job to support their transition.

However, she said, sometimes that isn’t enough. Many companies have probationary periods exceeding three months. Autistic individuals may struggle with on-the-job training or communicating what accommodations they need from their new employer. 

These are just a few gaps an AI tool can fill for these individuals after they’re hired.

“I could see these models evolving to being supportive at those critical junctures of the probationary period being over or the one-year job review or the annual evaluation that everyone dreads,” she said.

Dicks has an average caseload of 15 students, whom she assists in landing jobs and internships through the EXCEL program.

EXCEL provides a mentorship program for students with intellectual and developmental disabilities from the time they set foot on campus through graduation and beyond.

For more information and to apply, visit EXCEL’s website.

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