Summer at Summit Station

For most graduate students, research trips primarily mean conferences. For Aishwarya Vijai, it meant a month at Summit Station, Greenland, deep inside the Arctic Circle. Summit Station is located near the apex of the Greenland ice sheet at an elevation of ~10,000 feet above sea level. The station hosts scientists from collaborations around the world to conduct experiments on and with the Greenland ice sheet. One such collaboration is the Radio Neutrino Observatory in Greenland (RNO-G), a next-generation, ultra-high energy (UHE) neutrino detector. RNO-G sends teams of 4-5 people to help build the detector, and this year, these teams included a student from UMD: Aishwarya, a fourth-year graduate student in the physics department. Aishwarya works with Assistant Professor Brian Clark. The team flew to Summit Station via miltary aircrafts called LC-130s from Kangerlussuaq, a small town in Western Greenland. They stayed at Summit Station for a month to do maintenance work and collect data for calibration purposes. 

From Summit Station, the RNO-G detector, which is spread out over multiple locations (“stations”) on the ice sheet, is accessed via snow machines. Primary work done by this year included raising structures like solar panels and wind turbines which are used to power the detector. This involved a lot of shoveling to remove the drifting snow and attaching extensions to the bases of these structures to raise their heights. In addition, the team collected critical data to better understand the detector’s performance. This was achieved by campaigns where antennas were lowered hundreds of feet into the ice sheet. 

Summit Station has a maximum capacity of 40 people and operates 6 days a week with Sundays off. The biggest building on station is the aptly named Big House, a common area for meals, bathrooms, showers and entertainment in the form of books and board games. Food is prepared on station by a chef 6 days a week with leftovers on Sundays. Additional amenities include a gym, a recreational tent with a projector for watching movies, and a sauna. Sleeping accommodations are in the form of fish huts (small hard-sided structures for 1 person), the Flarm and the Caboose (hard-sided structures for 6-8 people). 

Temperatures at Summit Station typically fluctuate around -10 degrees Fahrenheit with wind chill, with occasional storms generating wind gusts of up to 50 mph. All people on Summit Station are equipped with winter gear to handle extreme weather. The station is located within the Arctic Circle so the sun doesn’t set in the summer until the beginning of August. The constant sunlight reflecting off the ice sheet leads to a high albedo. Sunglasses are worn outside at almost all times. 

Summit Station and the surrounding ice sheet was an incredible place to visit. The ice sheet is extremely beautiful and vast, appearing almost infinite in size. There are also several cool phenomena that can be observed on the ice sheet, like sun dogs and halos, which are produced when sunlight refracts through the ice crystals in the atmosphere. Sunsets at Summit Station saturate the sky in shades of red and yellow that appear even brighter in contrast to the white surroundings. The community at Summit Station also made the experience incredible, turning a nearly inhospitable place into the place to be for an experience of a lifetime. 

The Greenland ice sheet is one of the only places in the world where a UHE neutrino observatory like RNO-G can be built. The collaboration as a whole looks forward to returning next year and continuing work building the detector and hopefully using it to elevate our understanding of the universe at the highest of energies. 

More About RNO-G

The Radio Neutrino Observatory in Greenland (RNO-G) is a UHE neutrino telescope located at Summit Station, Greenland. The detector aims to find UHE neutrinos potentially emitted from energetic phenomena in the universe like black hole mergers and supernovas (explosions of stars). The detector is currently under construction and the University of Maryland (UMD) is a major construction site. Currently, the RNO-G group at UMD has built nearly 250 antennas. These antennas are the primary detection unit of RNO-G and aim to find the broadband radio pulse that is produced when UHE neutrinos interact with ice.

The fully completed detector will have 35 stations spaced 1 km apart to create an array. Each station will be equipped with 24 antennas buried in the Greenland Ice Sheet in drilled holes ~100 meters in depth. 8 stations have been built so far.

 

Jacob "Bob" Dorfman, 1937-2025

Professor Emeritus Jacob Robert Dorfman died on August 27, 2025. A native of Pittsburgh, Dorfman grew up in Baltimore and received his bachelor’s degree and doctorate at Johns Hopkins University. After three years of post-doctoral research at the Rockefeller University, he was appointed a UMD assistant professor in physics. During his time in College Park, he served as the Director of the Institute for Physical Science and Technology, Dean of the College of Computer, Mathematical and Physical Sciences, and Vice President for Academic Affairs and Provost, returning to teaching and research in 1992. He retired as an emeritus professor in 2005.

"The entire University of Maryland community extends its deepest condolences to Dr. Dorfman's family, friends and colleagues,” said UMD President Darryll J. Pines. "Dr. Dorfman's contributions to the university were substantial and wide-ranging, from serving as a dean and as provost to chairing a committee focused on improving student academic outcomes. He played a critical role in laying the foundation for our institution to achieve excellence, and we are grateful for all he did to advance the university.”

Dorfman enjoyed visiting professor appointments at the University of Utrecht, Rockefeller University and The Technion in Haifa, Israel.  He is the author of over one hundred scientific papers and books on statistical thermodynamic and chaos theory. His most recent book, Contemporary Kinetic Theory of Matter, written with Henk van Beijeren and T. R. Kirkpatrick, was published in 2021.

In addition to his scientific work, Dorfman studied art history, specializing in 17th century Dutch art, and continued to serve on thesis committees in recent years.

A memorial service is planned for Sunday, Aug. 31 at 10 a.m. at Temple Micah, 2829 Wisconsin Ave. NW

 

Faculty, Staff, Student and Alumni Awards & Notes

Follow us on LinkedIn: https://www.linkedin.com/company/umdphysics 

 

Faculty and Staff 
Students
  • Dhruv Agarwal and Hannah McCright received CMNS Alumni Network Endowed undergraduate awards.
  • Isabella Giovannelli was quoted in Physics.
  • Rodrigo Andrade e Silva and Saketh Muddu received the Charles W. Misner Award in Gravitational Physics.
  • Rajrupa Mondal and Zhaohui Xu received the Joseph and Dorothy Sucher Graduate Prize in Physics.
  • Iman Ahmadabadi and Jeffery Yu received the Thomas Mason Interdisciplinary Physics Award.
  • Sagnik Mondal, Kushan Panchal, Alexandra Behne and Greeshma Oruganti received the Charles T. Husar Fellowship in Physics.
  • Shuzhe Zeng received the Leon A. Herreid Science Fellowship.
  • Aishwarya Vijai spent the summer at Summit Station in Greenland.
Alumni
  • Susan Holcomb (B.S., '10) won the 2023 Cupboard Pamphlet Contest for her book Wolfbaby.

In Memoriam

It is with much sadness that the Department of Physics announces the passing of members of our community.

  • Roger Dean Bengtson (Ph.D., 1968) died in May, 2023. He researched plasma physics at the University of Texas for 46 years.
  • Bob Dorfman, a Professor Emeritus and former Dean and Provost, died August 27, 2025.
  • John Gonano, a former tutor in the Slawsky Clinic, died this spring. During his career, he worked for NIST and for the Army Research Lab.
  • Gary Wilson Phillips (Ph.D., 1967), died on July 7, 2025. After a career at the Naval Research lab, he held an adjunct position at Georgetown University.
  • Andrew C. Victor, who worked as a physicist in rocket propulsion after receiving his master's degree at UMD, died on July 18, 2025.
  • Frank C. Young (Ph.D., 1962), died on August 1, 2025. After receiving his doctorate, he worked for 10 years in the UMD Cyclotron before joining the Naval Research Lab. 

Driving AI Innovation for Autonomous Vehicles

When John Wyrwas gets behind the wheel, he doesn’t just think about where he’s going or how to get there; he also thinks about something else: what kind of information would a car need to have if artificial intelligence-embodied software were doing the driving?

“I sometimes stop to ask myself, ‘Is the way I'm driving going to be good training data for our AI or am I doing something that, if I tried to teach the machine this, I wouldn’t be happy with the outcome?’” Wyrwas said.John Wyrwas John Wyrwas

For years, Wyrwas has been working with self-driving systems for everything from semi-trucks to passenger cars, leveraging technologies like robotics and artificial intelligence to make autonomous vehicles smarter and safer. In his current role at Wayve, Wyrwas leads the AI Evaluation software engineering division for AI Driver, Wayve’s next-generation automated driving system. It’s an intuitive end-to-end deep learning platform that integrates advanced AI into vehicles, transforming the way they predict, perceive, and learn from human behavior in real-world environments.

“So many companies in this autonomous vehicle space see this primarily as an engineering problem, but Wayve has been pushing this idea of embodied AI that relies on a machine learning-first approach,” Wyrwas explained. “I'm proud to be part of a team that is pioneering this space, taking an approach that spans software, hardware, and machine learning. We need to innovate on all those fronts to be successful.”

Driving with data

Designed to be compatible with any type of vehicle, Wayve’s automated system learns to drive using a broad spectrum of real-world data, converting and applying this data to equip vehicles with human-like driving capabilities. Wyrwas’s team puts that innovation to the test, evaluating Wayve’s AI-driven system over a wide array of simulated driving scenarios to measure its adaptability in dynamic environments. 

“The amazing thing about using the AI approach to autonomous development is its remarkable generalizability,” Wyrwas noted. “Recently, we had a global roadshow, 90 cities in 90 days, and our AI model navigated a wide variety of urban and rural highway settings across Europe, North America and Japan using a single AI model. This is unique because with more of a robotics-first development approach, you would spend months or years tuning the software and the rules to work in those locations—we can do it much more quickly with data.”

Wyrwas sees a world of possibilities on the road ahead.

“Every week when I go out on our development vehicles at Wayve, I'm always thrilled when we're doing better at performance, safety and comfort in the vehicle,” he said. “If we can get them in the hands of everyday people, it's really going to open up more quality-of-life opportunities for everyone.”

A fascination with physics

Growing up in Anne Arundel County, Md., Wyrwas was always curious about how things worked in the world around him. A memorable high school class sparked his interest in physics.

“I recall the first day of class, the teacher had a bowling ball hanging from the ceiling, and asked us, ‘How does this work?” Wyrwas recalled. “He pushed it, and it swung like a pendulum, and we dove right into trying to understand how things move in the real world. That made physics very compelling to me.”

A few years later, Wyrwas began college at the University of Maryland as an electrical engineering major, but by the time he was halfway through freshman year, memories of his high school physics experience and a class with Distinguished University Professor of Physics S. James Gates Jr. inspired him to explore physics further.

“I was very eager to take Dr. Gates' introductory physics sequence, which was known for its more in-depth approach to foundational topics because I had a big desire to understand how the world works, not just at the applied level, but at that fundamental level as well,” Wyrwas recalled. “Engineering could teach me how to build, but physics could also teach me how to think more deeply and abstractly about the world. I signed up for a dual-degree program in physics and electrical engineering and never regretted it.”

A summer research program in the late Physics Professor Bob Anderson’s lab took Wyrwas’ fascination with physics to the next level, introducing him to the challenges of quantum.

“In quantum computing, what was interesting to me was the discovery process. It was so different from my classes where everything was figured out,” Wyrwas explained. “Here we didn't always know the next step or what we were going to see in the next experiment, and that discovery process was very compelling to me.”

Wyrwas went on to earn his master’s degree and Ph.D. in electrical engineering and computer sciences at the University of California, Berkeley, and then joined Qualcomm Research, gaining valuable expertise that helped set the stage for his future work with self-driving technology.

“I worked on optical devices and learned about simulation and also got exposed to LIDAR, which is a technology for using light to measure distances of objects,” Wyrwas explained. “These are both key topics in the self-driving industry today.”

From the cloud to the road

In 2018, Wyrwas joined Aurora, an early innovator in the autonomous vehicle space, later becoming a director of software engineering at the company. 

“I had the opportunity to lead an operation that focused on behavioral simulation and testing, and for self-driving cars, this means evaluating whether the car is making the right decisions on what to do next,” he said. “When I started out, we were primarily focused on cars and later shifted to larger vehicles like semi-trucks. We built experiences for our software in the cloud to ensure that the AI we built would behave reliably and safely before it ever hits the road.” 

Now at Wayve, Wyrwas is managing a comprehensive system testing and simulation operation as the company prepares to bring its AI Driver product to market. 

“I want to make sure that these cars can handle any situation safely, so for each unique customer application, there's a rigorous process to ensure that we're meeting expectations,” Wyrwas noted. “Right now, we are hitting a lot of the crunch time on executing and taking this opportunity by the horns and getting this embodied AI in the hands of real people.”

For Wyrwas, the analytical and problem-solving skills he developed at UMD provided a valuable foundation for the real-world challenges of working in the autonomous vehicle space.

“I think most of all, my physics background shapes the way I think,” Wyrwas explained. “I try to be grounded in first principles and always focus on understanding how the real world behaves, and I think this has been valuable at Wayve because we must operate safely in a very complex physical environment. It also helps me break down the systems and ask the fundamental questions about safety, performance and autonomy that we need to answer.”

With Wayve’s first commercial contract—a partnership with Nissan set to launch in 2027—and plans underway for many more, Wyrwas looks forward to a host of new challenges and opportunities ahead, as automated vehicle technology keeps accelerating into the future. 

“I've always been drawn to complex problems, and AI and self-driving is one of the most ambitious, complex and impactful problems because it has an element of human psychology to it,” Wyrwas said. “Our systems are interacting with other people on the road alongside other cars and heavy physical vehicles, and this technology has the promise of saving lives, reducing traffic and making transportation more accessible. If that's not inspiring, I don't know what is.”

 Written by Leslie Miller