It wasn’t your usual scientific research presentation. Two dancers—one representing a robot and the other a human—take turns moving around each other. As the dance progresses the human is at first fearful, then curious, and finally happy. 

The performance in June during the Movement, Music, and Brain Health National Science Foundation (NSF) AccelNet meeting on the UMBC campus was the brainchild of three UMBC faculty who have joined forces to explore whether and how dancing robots might offer humans new tools to improve their mental health. The research piggybacks off established practices of human-to-human dance/movement therapy, which can be used to treat some mental health challenges, such as schizophrenia, anxiety and depression. 

The exact form that robotic dance therapy might take, and the range of mental health conditions it could treat, are still large open-ended questions for the team, which is led by Ramana Vinjamuri, an associate professor in computer science and electrical engineering, who has done extensive work in brain-computer interfaces, and Andrea Kleinsmith, an associate professor in information systems, who specializes in ways that computers can assess humans’ emotions. 

“As a healthcare opportunity, dancing with a robot may sound weird at first,” says Ann Sofie Clemmensen, an associate professor of dance, who is also part of the interdisciplinary team. “Why not just dance with a human?” But, she says, people who are socially isolated or struggle with the stressors of human interactions might benefit from robot partners. “As humans we project emotions on objects, but the objects do not judge back,” she says. 

(l-r): Ramana Vinjamuri, Andrea Kleinsmith, and Ann Sofie Clemmensen are collaborating on a project to explore a possible role for robots in dance therapy. (Photos courtesy of Vinjamuri, Kleinsmith, and Clemmensen)

“The most exciting thing about this project for me is the collaboration,” says Vinjamuri. “I’ve never done something like this, and so the possibility to bring these fields together to tackle an important issue like mental health is super exciting.”

First steps

The groundwork for the research was laid as part of over a decade of work in Vinjamuri’s lab searching for “alphabets” or “synergies” of hand movements and associated brain activity that combine to build the variety of our everyday movements. Vinjamuri’s Ph.D. student Parthan Olikkal had recently developed contactless human motion tracking methods, which he applied when teaching humanoid robots these alphabets to form new movements. 

Against this backdrop, the spark for the interdisciplinary venture was struck when the College of Engineering and Information Technology (COEIT) launched a “COEIT Interdisciplinary Projects” program to encourage faculty to explore collaborations across disciplines to tackle big challenges. Vinjamuri reached out to Kleinsmith and Clemmensen to discuss the possibility of teaming up.

Together, the researchers developed a project proposal to study key questions surrounding the idea of robot-assisted dance therapy. They named the proposal SIVAM after the Indian mythological god of dance (also short for “Synergy-based, Intuitive, Virtual and Augmented therapy for Mental health”). The research would look into questions such as whether the coordination in a person’s arms and legs could be a proxy measure of mental well-being, how existing dance therapy movements affect brain activity, and how a humanoid robot dance partner compares in effectiveness to a flesh-and-blood one.

Creative solutions at the technological frontiers

Like any big endeavor, the project encountered unexpected hurdles. An existing robot that the team had couldn’t move fast enough or with the full range of motion needed for a dance partner. (A new robot will soon be ordered.) The team also had to wait for delivery of a special EEG cap that could measure a dancer’s brain activity without the typical gel and wires that would get in the way. The cap was also equipped to filter out the signal noise that comes from a person moving around. 

When the team realized they would have to wait for the humanoid robot, they pivoted to developing a digital avatar. They designed a camera and software system to track a person’s motions and then created a digital representation of a person to mirror the movements back, a technique in dance/movement therapy.

Developing the motion tracking system was a big part of the project to date. “Even just a few years ago, it was so much more difficult to digitally capture a person’s movements without them wearing reflective markers that a camera can easily track,” says Kleinsmith. Now, the team is using the latest in computer vision and machine learning tools to implement a markerless tracking system. Eliminating the need for specialized attire should make the system more accessible and useful.

The team also laid the groundwork for the next stages of the project by testing sensors, including the new cap and wireless sensors that can measure physiological signals such as heart rate, skin conductance, and body temperature. All the equipment will help the team test novel ways of assessing, and perhaps ultimately altering, human subjects’ emotional states.

“If you tighten your body, that may mean anger or fright, if you are more loose, you are more relaxed,” says Clemmensen. “And it’s possible that you could then guide a person through movement into that emotional state. The next part of this research is to get the data on that, and I’m quite excited about it.”

A technology-infused stage debut

The June performance was a chance for the team to creatively demonstrate their progress to brain researchers and artists from around the world. 

In the first half of the performance, the human dancer, performed by UMBC graduate Juju Ayoub ’25, dance, and a “robot” dancer, performed by Sarah McHale ’24, dance, sit opposite one another and take turns moving. Their movements are captured and displayed on a large screen by digital avatars. In the second half, the human and robot meet on the dance floor, while the human cycles through the emotions of fear, curiosity, and happiness. Sensors on Ayoub measured her brain activity, heart rate, and other signals that capture emotions, and displayed them on the screen. The second half of the performance was improvised by the dancers, within an accumulative structure provided by Clemmensen.

On left, dancers Juju Ayoub and Sarah McHale get ready to perform while Ph.D. student Parthan Olikkal sets up equipment. On right, Sarah McHale dances in front of the digital avatars. (Photos by Kiirstn Pagan ’11)

“Philosophically speaking, the first part of the performance represents humans and robots working in their own spaces. Part two is where they’re trying to work together, going through these phases of fear, curiosity, and then finally collaboration—and hopefully a happy collaboration,” says Vinjamuri.

The human researchers on the project have certainly found their own happy collaboration. 

Clemmensen said she appreciated how the group’s focus could zoom out and in, transitioning from discussions of big ideas to tackling tricky troubleshooting for one piece of equipment.

“I would like to see if I can take that verbal process into the creative space of dance choreography too,” she says.

The students involved in the project—Olikkal, fellow Ph.D. students Sruthi Sundharram and Golnaz Moharrer, and undergraduates Oritsejolomisan Mebaghanje ’25, computer science, and first-year computer science student Viraj Janeja—agree it was a mind-stretching and rewarding experience.

“I was very excited to be involved in the performance, which was an unusual and creative experience,” says Sundharram, who is a first-year Ph.D. student in computer science in Vinjamuri’s lab and who helped set up and connect the cap and sensors before the dance. “It was nerve-racking right before the start, fearing that something wouldn’t work,” Sundharram laughed. But the dancers helped ease her jitters and the performance went well.

“The best part of the experience for me was seeing the virtual environment for the project come alive,” says Mebaghanje, who worked as the lead software developer on the project. “I also really enjoyed working with my team and debugging issues together.”

Olikkal, who has been involved in the project from the beginning, and who worked primarily on the motion capture system, says he’s been able to hone his career aspirations in a meaningful way after joining Vinjamuri’s lab in 2019 as a master’s student. 

“Once I started really putting my heart into the research and seeing how these systems can help people, maybe not always immediately but certainly down the line, I felt like I had found my calling,” he says.

After the dancers exited the stage of the Fine Arts Recital Hall, Vinjamuri took the microphone to thank the whole team. And he hinted at the exciting work that lies ahead: “Maybe next time there will be a real robot on stage.”  

Advising Town Hall #2: Tuesday, August 12th at 12:00

Webex Link:https://umbc.webex.com/umbc/j.php?MTID=m66dcab88f96b194ef109b960b27a95de 

Meeting password: bP6MgRa6eq3 (should not be required)

Couldn’t make it to the first Town Hall? Do you have last minute questions or concerns you would like addressed prior to the start of the Fall semester? Advisors are here to help!

POSITION PROFILE:

Artistic Director | Everyman Theatre | Baltimore, MD

OPPORTUNITY

There are black holes, and then there are supermassive black holes (SMBH), with masses millions to billions of times as great as the Sun. A small percentage of SMBH are furiously gobbling up matter; these are called active galactic nuclei (AGN). Adi Foord, assistant professor of physics, is co-leading a research project designed to further understanding of how this rare type of black hole forms and changes over time. 

The project, recently funded by a National Science Foundation (NSF) Astronomy and Astrophysics Research Grant, also creates prime opportunities for undergraduate and graduate students to contribute to the research and connect with leaders in the field for networking and mentorship—experiences with the potential to shape these students’ futures. 

In addition to Foord, the three other co-leads are giants in the field of black hole research at institutions with powerhouse astronomy programs: Meg Urry at Yale University, David Sanders at the University of Hawaii, and Nico Cappelluti at the University of Miami. All four co-leads have collaborated for years as members of a research consortium known as the Accretion History of AGN (AHA) group.

“The goal of the NSF project is to try to map out the growth of AGN across cosmic time using as much data as humanly possible,” Foord says. “We’ll be looking at data collected by observatories in space and on the ground over a really wide range of wavelengths.” 

By analyzing data from various sources, the team has a better chance of shedding light on how these black holes grow and evolve, “and how their growth mechanisms connect to things like their environments,” Foord adds, “so getting information about the host galaxies that they’re in will be key.”

Foord is particularly interested in what happens when two galaxies, each with a supermassive black hole at its center, merge, and her part of the new grant zeroes in on exploring these merging AGN. For example, the percentage of galaxies that begin to interact and then go on to complete a merger is an open question. 

Addressing the bottleneck

Zack Reeves, a UMBC Ph.D. student mentored by Foord, is contributing to the project through his research on dual AGN—pairs of black holes in the early stages of a potential merger. Reeves started with a dataset including 2,684 confirmed AGN, based on data from the X-ray Multi-mirror Mission (XMM) Newton observatory and Sloan Digital Sky Survey. Then he pared down the data further, eventually settling on 38 AGN that met particular data standards. 

“This summer, I’m going through each of the XMM X-ray sources, and looking to see if the AGN have any other significant X-ray sources nearby that could indicate a dual AGN,” Reeves says.

XMM Newton includes tools that allow scientists to filter and analyze the data to answer their specific questions, “but the process can be manual and tedious to do observation by observation,” Reeves says. To address that bottleneck, he’s coding a Python script to streamline data analysis, which he’ll run on UMBC’s High-Performance Computing Facility (HPCF), which can analyze all of the samples in parallel, producing results many times faster than completing the task sequentially by hand. 

The results will provide important insights into how galaxies and AGN form. Multiple theoretical simulations describe those processes, and “these simulations disagree on certain predictions, like how the dual AGN population will evolve over the course of cosmic time,” Reeves says. “So the interesting part of this project is that we can actually look in space and observationally constrain how this population evolves, and through that we can identify what strengths and weaknesses these simulations have.” 

Empowering the next generation of astrophysicists

The NSF grant not only creates opportunities for Foord’s students to dive into cutting-edge research—it will also connect them with top scientists and grow their professional networks. For example, Reeves will begin attending regular AHA group meetings this summer and attend the AHA workshop in Miami in December.

Foord considers creating these career-building opportunities for her students a core part of her mission as a faculty member at UMBC. 

“It’s really important that we give UMBC students not only great research projects and opportunities, but also visibility to the field and the ability to make connections and network with people,” Foord says.

The grant also funds UMBC undergraduate students to conduct research with the co-leads at their institutions. This summer, funded through the same NSF grant, Katherine Carver, a rising senior physics major, is interning at Yale with Meg Urry. 

At Yale, “Networking with so many talented astronomers and physicists and attending unique professional development and astronomy events”—like a workshop on dark matter and a watch party for the reveal of the first Vera Rubin Observatory images—“have been the most beneficial opportunities,” Carver says.

“It’s really important that we give UMBC students not only great research projects and opportunities, but also visibility to the field and the ability to make connections and network with people.”

Adi Foord, assistant professor of physics

“The students are getting an opportunity to learn about what’s going on at these other institutions, how research teams work at these different places, and also to network with scientists there,” Foord says, “and that’s only going to help their careers if they decide to continue in astrophysics.”

“Dr. Foord has been instrumental in my success as an aspiring scientist,” Carver says, “from teaching me how to write scientific proposals to aiding the progression of my research at UMBC.” 

Reeves is grateful for Foord’s guidance, too. “She’s teaching me a lot about moves that I should be making right now, and how to network and build connections, and also making those connections for me, which means a lot,” he says.

Big-picture questions require practical skills

Reeves says that in high school, he romanticized physics; “the lure of figuring out how the universe works” drew him in. Since then, he’s learned that to be successful in the field, big-picture wonder must be backed up with practical skills. 

“I consider myself at heart to be an astrophysicist. That’s the dream. That’s what sparks joy in my heart,” he says. Luckily for him, “In practice, I also really enjoy statistics and statistical physics.”

Reeves’ work relies heavily on computer programming, data analysis, and statistics, skills he says are “absolutely critical” for astrophysicists. “I learned quickly in college you have to be really good at problem-solving to succeed in physics,” he notes. Reeves encourages anyone interested in physics to take enough computer science courses to “understand what the code is doing under the hood.” Without that foundation and a solid dose of perseverance, he says, at some point you’ll get stuck.

Thankfully, “Zack is super self-motivated, which is one of the most important aspects to being successful,” Foord says. “I’ve seen so many points in time where he’s hit some sort of wall, and then he comes back the next week and he’s figured out some way to get above that wall.” 

Staying close to go far

Carver, too, has picked up additional skills that support her physics research. From her work in Foord’s lab and previous internships at the Johns Hopkins Applied Physics Laboratory and Space Telescope Science Institute, she gained key coding and problem-solving skills. Without that, “I would not have been able to contribute to the level I can now to my project at Yale,” she says. “Those experiences also prepared me to secure the internship.”

Foord’s students benefit from a close relationship with her and other research group members. “The energy in the group meetings and our one-to-ones is always just really positive and encouraging, and there’s no stress,” Reeves says. Foord’s guidance has turbocharged his growth, from tackling advanced projects to presenting his work clearly.

“He already has a really good idea of how to tell a story in a way that will help people who aren’t intimately familiar with his research to understand it,” Foord says. 

Through Adi Foord’s mentorship, doors to cutting-edge black hole research have swung wide open for Reeves and Carver, equipping them with skills and networks to explore the cosmos as their careers progress. Already, Reeves is paying it forward, using his communication skills to share his fascination with black holes and spark curiosity about one of the universe’s most mysterious phenomena.

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Tom Penniston, Ph.D., has received a Fulbright U.S. Scholar award to advance learning-analytics projects in Croatia during the 2025–26 academic year. As UMBC DoIT’s Coordinator of Learning Analytics, he helps faculty translate data into inclusive, effective teaching practices. On September 1, he will take that expertise with him as he begins a six-month residency with the University of Zagreb’s Learning Analytics Laboratory at the Faculty of Organization and Informatics in Varaždin, and will remain working remotely in Croatia until August 2026.

During the fellowship, Penniston will test ways to scale course redesign around national and institutional competencies, map how analytics tools are adopted within and between universities, and embed empirically-based approaches in a new international setting. Working alongside Croatian colleagues, he also hopes to deepen his understanding of European Union education policy and seed partnerships that will ultimately benefit UMBC students and faculty.

“I’m humbled, excited, and admittedly a bit anxious,” he says, “but being part of a campus that prizes data-informed teaching makes the leap easier.” He credits CIO Jack Suess, AVP John Fritz, Director Mariann Hawken, and an “exceptionally talented” DoIT team for making this opportunity possible, and notes that his hosts have already “gone out of their way” to welcome his family, which is a kindness that has eased much of his initial anxiety.

“We’re all pleased for and proud of Tom’s selection to serve as a Fulbright Fellow,” says John Fritz, Associate Vice President for Instructional Technology. “He truly is a global citizen with an impressive, eclectic skill set and mindset focused on the value of education to change the trajectory of people’s lives. He will make a wonderful ambassador for what’s best about UMBC and the United States.” 

Penniston and his wife, Erin, previously served together in the Peace Corps in Moldova, yet the Fulbright will give their three children their first extended taste of life abroad. “I can’t wait to dive into the data, share what I learn, and bring fresh insights home,” he says, aiming to turn analysis into action on both sides of the Atlantic.