Rutgers President William F. Tate IV and Debashish Bhattacharya, Distinguished Professor in the Department of Biochemistry and Microbiology, who received the 2026 Board of Trustees Award for Excellence in Research.

Debashish Bhattacharya, Distinguished Professor in the Department of Biochemistry and Microbiology, was recognized with the Board of Trustees Award for Excellence in Research, which honors tenured faculty members who have made distinguished research contributions to their discipline and/or society at large.

Bhattacharya was recognized on May 6 as part of the 2025-26 University-wide Faculty Year-End Excellence Awards for members of the community who have made outstanding contributions through teaching, research, and service.

A total of 33 awardees from across the university were recognized in nine categories during the event led by President William F. Tate IV and Executive Vice President Keena Arbuthnot. 

Distinguished Professor Debashish Bhattacharya pictured with Distinguished Professor Max Häggblom, chair of the Department of Biochemistry and Microbiology.

President Tate told the group of scholars that their work in the areas of education, discovery, and service fulfilled the model of higher education in the United States established by the Morrill Acts of 1862 and 1890, which enabled states to establish public colleges across the nation. 

“You all, the ones who are going to be recognized today, represent the very best of the Morrill Act tradition,’’ Tate said. “This is one of the best groups of scholars and teachers I have ever seen, and I could not be more proud to be Rutgers’ president.’’

The Bhattacharya lab pursues several areas of evolutionary genomics and applied research with a focus on marine species such as corals, seaweeds, and shellfish.

His group generates knowledge about these often, threatened species and then develops tools to diagnose their health and assess resilience, with the goal of aiding local stakeholders.   

“I have loved the ocean since childhood and am thrilled to be at Rutgers in a time when the needed, sophisticated tools are available to better understand and protect marine ecosystems for future generations.”

Read more about Debashish Bhattacharya’s research and impact.

Honored alongside Bhattacharya with the 2025-26 Board of Trustees Award for Excellence in Research were:

Stephen Crystal, Distinguished Research Professor and Board of Governors Professor at the Rutgers School of Social Work and Director of the Rutgers Center for Health Services Research at the Institute for Health, Health Care Policy and Aging Research.

Michael D. Anestis, Professor, Department of Urban-Global Public Health, School of Public Health, Rutgers Health.

Ashutosh Goel, Professor, Department of Materials Science & Engineering, School of Engineering, Rutgers University–New Brunswick.

Christian S. Hinrichs, Professor, Department of Medicine, Robert Wood Johnson Medical School, Co-Director of the Duncan and Nancy MacMillan Cancer Immunology and Metabolism Center of Excellence and Chief of the Section of Cancer Immunotherapy, Rutgers Cancer Institute, Rutgers Health.

Scientists looking for sources that generated life on Earth are considering hydrothermal vents of different types, from vents found in the deep sea to others created by meteor impacts.

Meteor impacts may have helped spark life on Earth, creating hot, chemical-rich environments where the first living cells could take shape, according to research integrated by a recent Rutgers University graduate. 

“No one knows, from a scientific perspective, how life could have been formed from an early Earth that had no life,” said Shea Cinquemani, who earned her bachelor’s degree in marine biology and fisheries management from the Rutgers School of Environmental and Biological Sciences in May 2025. “How does something come from nothing?”

Shea Cinquemani, who earned her bachelor’s degree from the School of Environmental and Biological Sciences in May 2025, has published a paper based on research she started during the spring of her senior year. Photo: Courtesy of Shea Cinquemani

Cinquemani is the lead author of a scientific review, published in the peer-reviewed Journal of Marine Science and Engineering, examining where life may have first formed on Earth. The paper focuses on hydrothermal vents, places where hot, mineral-rich water flows through rock and emerges into surrounding water, creating the chemical conditions and energy gradients needed for complex reactions.

Her research points to hydrothermal systems created by meteor impacts as a potentially critical and underappreciated setting for the origin of life, strengthening the case beyond conventional deep-sea vent theories. Cinquemani said such systems would have been widespread on early Earth, making them especially compelling environments for life to begin.

The paper, co-authored with Rutgers oceanographer Richard Lutz, marks a rare achievement for a recent undergraduate whose work began as a class assignment and was transformed into a publication in a highly respected scientific journal.

“It’s amazing,” Lutz said. “You often have undergraduates that are part of papers – faculty choose undergraduates all the time to work on papers and projects. But for an undergraduate to be the lead author is a huge deal.” 

The project started in the spring of Cinquemani’s senior year in a course called “Hydrothermal Vents,” taught by Lutz, a Distinguished Professor in the Department of Marine and Coastal Sciences. Cinquemani’s assignment was to examine whether hydrothermal vents on Mars could have been harbingers of life there.

“I was like, ‘I know nothing about this topic,’” she said. “Thinking about the origins of biology on another planet was like, whoa. Not sure how I’m going to do this.” The topic went beyond her usual comfort zone of biology and extended into chemistry, physics and geology, she said.

Distinguished Professor Richard Lutz emerges from the research submersible, Alvin, after a deep-sea dive. Lutz was part of the team that discovered hydrothermal vents.
Photo: Courtesy of Richard Lutz

Cinquemani expanded the assignment after graduation into a full scientific review of both impact-generated and deep-sea vent systems, which was accepted after what Lutz described as a demanding peer-review evaluation.

“I have never seen such a rigorous review process,” Lutz said. “There were 15 pages of comments and five different rounds of reviews. She had the patience and perseverance, and the paper turned out magnificently.”

Deep-sea hydrothermal vents have long been considered a possible birthplace of life. Discovered in the deep ocean in the late 1970s, these systems host entire ecosystems that thrive without sunlight. Instead of photosynthesis, microbes use chemical energy from compounds released by vent fluids, such as hydrogen sulfide, in a process known as chemosynthesis.

Some deep-sea vents are powered by heat from the Earth’s interior near volcanic activity while others are driven by chemical reactions between water and rock that generate heat without magma. This heat facilitates chemical processes and provides a warm oasis in the otherwise barren seafloor of the deep ocean. 

Cinquemani’s paper places more focus on a different category that has recently begun gaining attention: hydrothermal systems created by meteor impacts.

When a large meteor strikes Earth, the impact generates intense heat and melts surrounding rock. As the area cools and water fills the crater, a hot, mineral-rich environment can form, similar in some ways to deep-sea vents.

“You have a lake surrounding a very, very warm center,” Cinquemani said. “And now you get a hydrothermal vent system, just like in the deep sea, but made by the heat from an impact.”

To explore how these systems might support life, she examined research on three well-studied crater sites that span vastly different periods of Earth’s history. The oldest is the Chicxulub impact structure beneath Mexico’s Yucatán Peninsula, formed about 65 million years ago and later shown to have hosted a long-lived hydrothermal system. Next is the Haughton impact structure in the Canadian Arctic, formed about 31 million years ago. The youngest is Lonar Lake in India, created about 50,000 years ago, where the crater still contains water and offers clues about how these systems evolve over time.

Hydrothermal vents on the ocean floor spew black smoke, which forms when super-hot vent water hits the cold ocean. Scientists view them as candidates for where life may have started, because they provide heat, minerals and chemical energy that early life could have used to form and grow. Photo: Richard Lutz

These impact-generated systems may last thousands to tens of thousands of years, giving simple molecules time to form more complex structures that could lead to life.

Scientists say such environments may have been especially important on early Earth, which experienced frequent asteroid impacts. In that sense, events often seen as destructive also may have helped create the conditions for life.

The idea builds on decades of research into deep-sea vents while expanding the search for life’s origins into new territory.

Lutz helped explore these deep-sea environments several decades ago when they were still a scientific mystery. As a young postdoctoral researcher, he joined the first biological expedition to study hydrothermal vents and descended more than a mile beneath the ocean surface in the research deep-sea submersible Alvin, where he observed thriving communities of organisms in total darkness.

Those dives helped open a new field of research and shaped scientists’ understanding of how life can exist in extreme environments without sunlight.

“We have talked for many years about the possibility that life may have originated at deep-sea hydrothermal vents,” Lutz said.

Cinquemani’s work brings together those long-standing ideas with newer evidence that impact-generated systems also could play a role and may in some cases offer favorable conditions for early chemical reactions.

Scientists pilot the research submersible Alvin in the deep ocean to explore that world. Rutgers scientists have played an important role in discoveries made through Alvin. Photo: Richard Lutz

The implications extend beyond Earth. Hydrothermal activity is thought to exist on the ocean floors of icy moons such as Jupiter’s Europa and Saturn’s Enceladus, and may have existed in impact craters on young Mars. If these environments on Earth can support the chemistry of life, they could become key targets in the search for life elsewhere.

For Cinquemani, the work is driven by curiosity.

“Humans are insanely curious beings,” said Cinquemani, who works as a technician at Rutgers’ New Jersey Aquaculture Innovation Center in Cape May, N.J., where she supports aquaculture research while preparing to pursue advanced study in marine science. “We question everything. We may never know exactly how we began, but we can try our best to understand how things might have occurred.”

Image by ead72, licensed via Adobe Stock (Education License)

Scientists have developed a powerful new statistical approach that can reveal complex patterns in how fish move and adapt to their environments—information that’s been hiding in plain sight within fish ear stones.

A study published in the journal Reviews in Fish Biology and Fisheries introduces an advanced framework to analyze chemical signatures in fish otoliths—small calcium carbonate structures in fish ears that act like natural recorders of a fish’s life history.

Joyce Ong, research and grants facilitator of the Rutgers Climate and Energy Institute, served as a co-author on the study.

The research team applied this new method to tropical snapper populations across the Indo-Pacific region and discovered that while phylogenetic processes affecting strontium regulation in otoliths remained consistent across vast geographic distances, other chemical signatures (incorporation of barium and magnesium) revealed region-specific differences reflecting local environmental conditions or physiological adaptations.

Traditional analysis methods often oversimplify data by grouping measurements into group means based on sampling regions or across calendar years, potentially missing important patterns at smaller scales. Additionally, traditional approaches use linear regression models, however, most biological processes do not have linear relationships. This new approach captures continuous, non-linear changes throughout a fish’s life, while also accounting for individual variation among fish and changes over time. Together, these provide much more detailed insights into fish movement strategies and how they respond to environmental changes.

“Understanding the life-history strategies of commercially important fish populations is crucial for predicting how species respond to environmental change, especially in the data-poor and tropical Indo-Pacific region that is characterized by immense fishing pressures and environmental changes,” Ong explained. “This framework provides a powerful methodological approach for unraveling complex life-history and movement strategies in fish populations, offering critical insights into their adaptive responses to changing environments—information that’s essential for effective fisheries management and conservation as our oceans continue to change.”

Beyond fish, this statistical framework can be applied to analyze similar time-resolved chemical data from coral skeletons, shark vertebrae, bivalve shells, and other biological structures that record environmental history, opening new possibilities for understanding how aquatic species interact with their rapidly changing world.

You can read the full study here: https://doi.org/10.1007/s11160-025-09993-0

This article was written with assistance from Artificial Intelligence, was reviewed and edited by Oliver Stringham, and was reviewed and edited by Joyce Ong, a co-author on the study.

Microfluidic system used by the researchers to study the dissolution of calcium carbonate in marine snow mounted. Photo: Yuval Jacobi

As any diver knows, oceans can be cloudy places. Even on sunny days, snow-like particles drift through the water column, obscuring the aquatic world below.

Scientists have long known that this “marine snow” carries inorganic calcium carbonate – the building block of shells – but couldn’t explain how the mineral dissolves in the upper part of the ocean.

New research from Rutgers University-New Brunswick points to the culprit: bacteria.

“Think of marine particles as the megacities of the ocean,” said Benedict Borer, an assistant professor of marine and coastal sciences at the Rutgers School of Environmental and Biological Sciences and lead author of the study published in the journal Proceedings of the National Academy of Sciences. “Within these tiny spaces, there are huge amounts of microbial activity. It’s here where calcium carbonate dissolves.” 

The findings could reshape how climate scientists model carbon sequestration – the natural or engineered process by which carbon dioxide gas is removed from the atmosphere – and ocean carbon cycling (the exchange of carbon between the atmosphere and the ocean), Borer said.

Benedict Borer.

“Oceanographers often think about the macro-scale, but in this instance, what’s happening in microscopic particles is controlling the entire ocean,” he said. 

Oceans are central to the planet’s biological carbon pump. At the surface, microscopic algae called phytoplankton absorb carbon dioxide from the atmosphere – including that released by the burning of fossil fuels – and convert it into biomass and, in the case of a phytoplankton called coccolithophores, calcium carbonate shells. 

When marine organisms die and sink, billions of tons of organic and inorganic carbon are carried downward each year. The deeper the carbon sinks, the longer it is stored. Eventually, in the cold, acidic depths, calcium carbonate dissolves, carbon dioxide is released, and the cycle continues.

However, while oceanographers have long known that calcium carbonate dissolves in the upper few thousand meters of the ocean, they could not explain the mechanism. The chemistry doesn’t favor it, Borer said.

Recent studies have provided clues, showing that acidic microenvironments in the guts of zooplankton enhance calcium carbonate dissolution, and suggesting that the interiors of marine snow particles may be additional hotspots for calcite dissolution, the crystalline form of calcium carbonate.

To test this theory, Borer and colleagues at the Massachusetts Institute of Technology and Woods Hole Oceanographic Institution studied how the chemistry of marine snow behaves in shallow seas.

In the lab, Borer built a three-layer microfluidic chip to mimic marine snow sinking through the water column. The middle layer held marine particles with calcite and marine bacteria. The top and bottom layers sealed the system, while artificial seawater flowed through the narrow channel between them, simulating particle sinking.

By controlling gas pressure, temperature, oxygen, and bacterial abundance, the team recreated the conditions within a sinking particle and measured how bacterial growth affected calcite.

As particles settled, bacterial respiration increased acidity around them, accelerating calcite dissolution. As a critical consequence, less calcite acting as ballast means that particles sink more slowly.

The results suggest that microbially driven changes in marine snow may dissolve enough calcite near the surface to slow sinking rates and reduce the efficiency of carbon sequestration. And because growing bacteria release carbon dioxide as a byproduct, the process may accelerate the return of heat-trapping gases to the atmosphere, Borer said.

More work is needed to confirm the findings in the open ocean, but the discovery clarifies bacteria’s role in carbon cycling and could improve future climate models and inform geoengineering approaches, he said.

“Our results provide a critical first step to decipher the influence of microbial-enhanced calcite dissolution in marine snow particles, and how it impacts the ocean’s ability to sequester carbon at the global scale,” Borer said.

He added: “The question now is how the biological carbon pump will change in the future. Will the transport of carbon to depth become more efficient, or will bacteria respire the carbon more quickly, releasing carbon dioxide back into the atmosphere? To predict this, we need to understand all mechanisms that impact carbon transport to depth, such as the microbially enhanced dissolution of ballasting calcite. What I find quite scary, honestly, is that this process could go either way.”

This article first appeared in Rutgers Today.

Adélie penguins in Antarctica. Photo credits Oscar Schofield

Penguins waddling across Antarctic ice might seem far removed from a classroom in New Jersey, but a new study shows that these charismatic birds can be a powerful hook for teaching young people about climate change — and inspiring them to see themselves as future scientists.

The study was led by researchers at Rutgers University, including affiliates of the Rutgers Climate and Energy Institute Janice McDonnell, Associate Dean of Research Impact at the School of Environmental and Biological Sciences, and Oscar Schofield, Distinguished Professor in the Department of Marine and Coastal Sciences. In addition, the lead author, Marissa Staffen, and co-author Matthew Newman are both county agents from the Department of 4-H Youth Development at Rutgers.

Published in the Journal of Geoscience Education, the study evaluates a program called Data to the Rescue: Penguins Need Our Help! — an eight-session after-school club designed for middle schoolers in grades 5 to 8. The program invites students to join a virtual research team studying real penguin population data from Antarctica, collected by the National Science Foundation’s Long-Term Ecological Research (LTER) program at Palmer Station.

Students work with actual scientific data using an online tool called CODAP to graph and analyze how Adélie, Gentoo, and Chinstrap penguin populations have changed over time — and why. The program ends with a creative “Data Jam,” where students turn their findings into poems, art, videos, or other projects to share with their communities.

The program directly connects climate change in the polar regions — where warming is happening much faster than the global average — to real consequences like sea ice loss and shrinking penguin populations. It also draws lines from those distant changes to local impacts like sea level rise and extreme weather, helping students understand that what happens in Antarctica doesn’t stay in Antarctica.

“This program shows that when you give young people real scientific data and a compelling story — in this case, penguins — they don’t just learn facts, they start to see themselves as part of the solution. Building that sense of identity and agency in students, especially for young people that don’t see themselves represented in STEM, is one of the most important things we can do for both STEM education and climate action,” said Staffen.

Students in the Data to the Rescue program explore real penguin population data collected at Palmer Station, Antarctica, connecting distant ecosystems to local climate change impacts. Photo credit Matthew Newman

Over three years and across 46 program sites in the U.S., 1,571 youth took part. The study found that after completing the program, students showed a statistically significant increase in ‘science identity’ — meaning students felt more like they belonged in science. This was especially meaningful given that the program intentionally reached out to groups underrepresented in STEM, including girls, Black and Hispanic youth, and students from low-income communities.

Students who started with little knowledge of polar science showed the biggest gains in learning. Many who began by answering “I don’t know” to questions about the Arctic and Antarctic finished the program with real, substantive answers.

Interestingly, overall fascination with science dipped slightly by the end of the program — but the authors suggest this may reflect a more realistic understanding of what science actually involves, including the hard work and challenges, rather than a loss of interest. Students with lower initial fascination actually showed gains.

The implications of this research go beyond penguins. The program offers a replicable, low-cost model for informal science education that can be run in after-school clubs, community centers, summer camps, libraries, or 4-H programs — and all materials are available for free in both English and Spanish. The authors argue that building climate literacy and data skills in young people, particularly those from underserved communities, is essential for developing an informed public and a diverse STEM workforce capable of tackling global challenges like climate change. Explore Data to the Rescue resources and read the full study here.

This article was written with assistance from Artificial Intelligence, was reviewed and edited by Oliver Stringham, and was reviewed by Marissa Staffen, Janice McDonnell, Matthew Newman, and Oscar Schofield, co-authors on the study.

Image by Smileus, licensed via Adobe Stock (Education License)

Plants are remarkably good at adjusting how they capture sunlight and produce food through photosynthesis. A new computer model helps scientists better understand these adjustments by looking at what happens at different heights within a plant canopy, from the sun-drenched leaves at the top to the shaded leaves near the ground.

Chi Chen, assistant professor in the Department of Ecology, Evolution, and Natural Resources, and affiliate of the Rutgers Climate and Energy Institute, is the author of the study.

The research, published in the Journal of Advances in Modeling Earth Systems, introduces a model called GMC-OPT (Global Multilayer Canopy OPTimization) that tracks how plants adjust their photosynthesis hour by hour and season by season. Unlike simpler models that treat an entire forest or field as one big leaf, this model considers how conditions change at different heights. Leaves at the top receive intense sunlight but risk damage, while lower leaves get less light and are more limited by energy availability. 

The model reveals several interesting patterns. First, the best time for leaves to maximize photosynthesis is not always at solar noon when sunlight is strongest. Upper canopy leaves actually perform best in the morning, before the sun becomes too intense, the environment becomes too dry, and conditions become potentially harmful to photosynthesis. Second, beyond instantaneous stomatal regulation, leaves adjust their photosynthetic capacity based on their position in the canopy at seasonal scales – called photosynthetic acclimation. The relationship between light and acclimated leaf photosynthetic capacity is not simply a straight line. Upper leaves can become saturated with too much light and other stresses, while lower leaves respond more efficiently to the light they receive.

The model also discovered that different types of vegetation manage their leaves differently through the seasons. Tree-dominated forests like evergreen and mixed forests prioritize keeping their upper, light-gathering leaves healthy. In contrast, grasslands and deciduous forests replace leaves more uniformly throughout the canopy. This helps explain why different ecosystems respond differently to seasonal changes and why forests and grasslands have distinct growth patterns.

Understanding these patterns has important implications for climate science. Photosynthesis is the largest carbon flux on land, meaning plants absorb enormous amounts of carbon dioxide from the atmosphere. Better models of photosynthesis help scientists predict how ecosystems will respond to climate change, increasing temperatures, and rising carbon dioxide levels. They also help farmers and land managers understand how plants use water and nutrients, which is crucial for sustainable agriculture and water management.

“By understanding how plants optimize photosynthesis at different levels of the canopy and across different timescales, we can better predict how ecosystems will respond to environmental changes. This knowledge is essential for managing our forests, crops, and natural areas in a way that maximizes carbon capture while conserving water and nutrients,” said Chen.

The model was tested against data from 119 monitoring stations worldwide and accurately predicted carbon uptake at hourly to annual scales. While the model is complex, requiring detailed information about canopy structure and radiation, it provides insights that simpler models cannot. As satellite technology improves, scientists will be able to gather the detailed vertical structure information needed to apply this model globally, leading to better predictions of how vegetation affects our climate. Read the full study here.

This article was written with assistance from Artificial Intelligence, was reviewed and edited by Oliver Stringham, and was reviewed and edited by Chi Chen, the author of the study.

Image by freshidea, licensed via Adobe Stock (Education License)

New research finds that news stories about who is most vulnerable to the impacts of climate change can have very different effects — depending on whether they focus on race or income.

Climate change doesn’t harm everyone equally. Flooding, heat waves, and other extreme weather events tend to hit lower-income communities and communities of color the hardest. But when news stories highlight those differences, do they actually help people understand the problem — or do they make things worse? A new study published in the journal Science Communication set out to answer that question, and the findings have important lessons for journalists, policymakers, and anyone trying to build public support for climate action.

One of the authors of this work is Lauren Feldman, professor and chair of Department of Journalism and Media Studies, and affiliate of the Rutgers Climate and Energy Institute.

The study recruited more than 2,800 people across the United States to participate in an online survey experiment. Participants were asked to read a short news article that described how climate change is increasing the risk of either flooding or heat waves. One version of the article noted that Black communities face the greatest risk. Others pointed to poor or working-class communities. A final group read an article that didn’t single out any group at all. Afterward, participants were asked about their beliefs and whether they support policies and aid to help affected communities. An additional control group did not read a news article and only answered the survey questions.

What They Found

The results were striking. When the news story focused on the increased risk to Black communities, people — especially White participants and those who hold what researchers call “symbolic racism” beliefs — were less likely to believe that climate change impacts are unequal and less supportive of helping affected communities. In other words, framing climate change as a racial issue actually lowered support among certain groups.

Stories that focused on class — describing poor or working-class communities as most at risk — did not trigger the same pushback. In fact, in some cases, those stories increased belief in unequal impacts and boosted support for action.

Symbolic racism refers to a system of beliefs rooted in the ideas that racial discrimination is not a serious problem and that racial minorities do not face systemic discrimination and thus do not need specific help to deal with resulting disadvantages. The study found that people with higher levels of these beliefs responded most negatively to race-focused climate stories.

“These findings send a clear signal to communicators: how you talk about climate inequality really matters. Our work suggests that leading with class-based framing may build broader support for the communities who need it most; however, it is critical to not ignore the very real, race-linked vulnerabilities that also exist. The challenge now is finding ways to tell the full story without triggering the kind of backlash that leaves the most vulnerable communities without the support they deserve,” said Feldman.

The study also found consistent differences between Black and White participants overall. Black participants showed stronger beliefs in unequal climate impacts and more support for affected communities across both flooding and heat wave contexts — consistent with the idea that people who are personally connected to a risk are more likely to recognize and act on it.

Why It Matters

These findings carry real-world weight for how climate policy gets communicated and debated. Climate justice — the idea that climate action should prioritize those who are most vulnerable — is increasingly central to state and local policy conversations. But this study shows that some messaging strategies meant to build support for climate justice could actually reduce it among key audiences.

For journalists, advocates, and public officials, the takeaway is nuanced: class-based framing may be a more effective way to build broad coalitions, but ignoring racial disparities means leaving out a crucial part of the story. The authors call for future research into communication strategies that can present the full picture — including race — without triggering bias-driven backlash.

The study used a one-time exposure to news articles, so it’s not yet clear whether repeated exposure over time would change the results. And while the findings held across both flooding and heat wave scenarios, the strength of the effects varied between the two, suggesting that the type of climate risk matters too. Read the full study here.

This article was written with assistance from Artificial Intelligence, was reviewed and edited by Oliver Stringham, and was reviewed and edited by Lauren Feldman, a co-author on the study.

Inspired by the maneuverability of birds and insects, researchers are designing bird like robots that promise greater flexibility and control than current drones can achieve.

A bird banking in a crosswind doesn’t rely on spinning blades. Its wings flex, twist and respond instantly to its environment.

Engineers at Rutgers University have taken a major step toward building bird-like drones that move the same way, flapping their wings like real birds, using electricity-driven materials instead of conventional electromagnetic motors to power them.

Professor Onur Bilgen (at center) works with Rutgers engineering students on prototypes of a bird‑like robot powered by voltage‑driven smart materials. (From left) Graduate students Ayhan Ozel, Dario Gosevski, Bezawit Gebre and Batuhan Yildirim display models headed for wind‑tunnel tests.
Courtesy of the Bilgen Lab

In a study published in Aerospace Science and Technology, aerospace researchers Xin Shan and Onur Bilgen describe a “solid state” bird-like drone, typically referred to as an ornithopter, whose flexible wings flap and twist without motors, gears or mechanical linkages. Instead, the system relies on the piezoelectric effect, special materials that change shape when voltage is applied.

“We apply electricity to the piezoelectric materials, and they move the surface directly, without extra joints, extra linkages or motors,” said Bilgen, an affiliate of the Rutgers Climate and Energy Institute and an associate professor in the Department of Mechanical and Aerospace Engineering in the Rutgers School of Engineering. “The wing is a composite including a piezoelectric material layer and a carbon-fiber layer. Apply voltage to the piezoelectric layer, and the whole composite flexes.”

With their bird-like design, ornithopters offer a level of flexibility that makes such drones well suited for future tasks such as search and rescue, environmental monitoring, inspection of hard-to-reach places, and urban package delivery, where aircraft must navigate around buildings, wires, people, and so much more.

The research team also developed a powerful computer model that connects all the important physics involved in flight at once: wing and body motion, aerodynamics, electrical dynamics, and the control architecture. That allows engineers to test and optimize designs virtually before building physical prototypes, saving time and money while speeding development.

“We’ve scientifically demonstrated that this type of ornithopter can be possible when we make certain material assumptions,” he said. “We can show the feasibility of designs that are not yet physically possible.”

For now, the primary obstacle is the performance of the piezoelectric material.

In this computer-generated flight sequence, the ornithopter’s wings beat without any gears or motors—powered instead by thin piezoelectric actuators that flex the entire structure.
Courtesy of the Bilgen Lab

“Today’s piezoelectric materials are not capable enough,” Bilgen said. “However, our mathematical model allows us to look into the future with reasonable assumptions.”

Bilgen first encountered ornithopters in 2007 while he was a graduate student, but he said his interest deepened in 2013, when he began seriously exploring how flapping-wing flight might be reimagined using smart materials. Various companies have built experimental bird-like drones, but most existing designs rely on motors, gears and conventional actuators to drive wing motion.

Those systems, Bilgen said, struggle to match the performance of natural wings, which flex and respond continuously to changing air.

Bilgen says nature offers powerful lessons for engineers.

“Things that need to move fast must be lightweight,” he said. “That’s why bird wings are delicate structures, and aircraft wings mimic bird wings.”

While birds and insects provide inspiration for the work, Bilgen’s goal isn’t simple imitation.

“We don’t want to just mimic nature,” he said. “We want to exceed what nature does.” 

So far, most prototypes of robotic birds rely on mechanisms that imitate bones and muscles. Bilgen’s team is taking a simpler path.

“We want to achieve flapping flight without bone-like structures or muscle-like actuators, flapping in a much simpler way,” he said.

Advanced simulation tools developed at Rutgers help engineers optimize bird like drones in software first, accelerating innovation while reducing the need for repeated prototypes. Courtesy of the Bilgen Lab

Instead of motors acting as muscles, thin strips called Macro Fiber Composites (MFCs) are glued directly on their models onto flexible wings. When electricity flows through them, the wings flap, twist and morph.

“The carbon fiber acts like feathers and bone, and the surface-mounted MFCs act like muscles and nerves,” Bilgen explained.

Because the system has no gears or joints, the researchers call it a mechanism-free, or solid state, ornithopter.

Flapping wings offer advantages that spinning propellers found on conventional drones cannot, especially at small scales. “When flapping wings come in contact with the environment, they’re less destructive to themselves and to what they contact,” Bilgen said.

The use of piezoelectric materials or other smart materials could also improve renewable energy systems.

“A turbine blade is basically a rotating wing,” Bilgen said. “We’ve been looking at applying piezoelectric materials to turbine blades to see if there are aerodynamic benefits.”

By subtly changing blade shape in real time, engineers may be able to influence how air flows across the blade surface. That could lead to more efficient wind turbines, he said.

The article first appeared in Rutgers Today.

Researchers are examining the relationship between childhood obesity and future success. Sergio Arjona, Shutterstock

Childhood obesity may be quietly undermining one of the central promises of American life.

 A study by a Rutgers researcher has found that children who are obese are far less likely to climb the economic ladder as adults, raising concerns that a rising health problem also could deny many young Americans the chance to achieve the American dream.

“Childhood obesity isn’t just a health crisis,” said Yanhong Jin, a professor with the Department of Agricultural, Food and Resource Economics at the Rutgers School of Environmental and Biological Sciences and a coauthor of the study. “It is an economic mobility crisis.”

The research, published in the Journal of Population Economics, examined how childhood obesity affects intergenerational mobility, which measures whether children grow up to earn more than their parents.

The study draws on data from the National Longitudinal Study of Adolescent to Adult Health, often called Add Health, a nationwide project that has followed thousands of Americans from adolescence into adulthood for more than two decades. The study is composed of a nationally representative sample of more than 20,000 adolescents who were in grades 7 through 12 during the 1994-1995 school year, and have been followed for six waves of data collection to date, with the  most recent wave from 2022 to 2025. The dataset includes information about participants’ health, education, income and genetic markers linked to body weight.

Professor Yanhong Jin, an agricultural and health economist, is exploring whether children today have the same opportunities their parents had at the same age.

Jin conducted the study with economists Maoyong Fan of Ball State University and Man Zhang of Renmin University in China.

Using the Add Health data allowed researchers to explore the question in a new way. The study includes genetic information that helped the team separate the effect of obesity itself from other factors such as family income or neighborhood conditions.

The results were striking. Adults who were obese as children ended up much lower on the national income ladder than those who had a normal weight as children. A child is considered obese if his or her Body Mass Index is at or above the 95th percentile for children of the same age and sex, based on standardized growth charts.

“If children are obese compared with normal weight children, assuming everything else is the same, their income ranking is about 20 percentile points lower relative to their parents,” Jin said.

The researchers then examined why that economic gap appears to emerge over time.

“The evidence points to lower educational attainment, persistent health problems and disadvantages within the labor market,” said Fan, a coauthor of the study. “These include higher reported job discrimination and adverse occupational sorting.”

For Jin, an agricultural and health economist, the topic carries personal meaning. As a first-generation immigrant from China, she said she has long been interested in the idea that each generation should have a chance to do better than the one before.

Her interest in intergenerational mobility deepened as she began thinking about the American dream and whether children today still have the same chances their parents had.

“We wanted to explore the link between childhood conditions and intergenerational mobility to see what we can do,” she said.

The researchers also found that people who were obese as children were less likely to live in neighborhoods with strong economic opportunities later in life. They were less likely to live in areas with higher average incomes and less likely to live in communities with low poverty rates.

Most previous research on economic mobility has focused on neighborhood conditions and family background. Jin said her team wanted to explore another factor that had received less attention.

Studies that focused on the long-term impacts of obesity were more likely to examine its relationship with social stigma and educational attainment.

“But few have considered its relationship to intergenerational mobility,” Jin said.

The effects weren’t the same for everyone. The study found that the economic penalty linked to childhood obesity was larger for girls than for boys. It also was stronger among children from low-income families and among those who grew up in the South and Midwest.

Jin said the findings highlight the importance of preventing obesity early in life. Many policies focus on treating obesity after it develops, but the research suggests that prevention in childhood before it develops could have long-term benefits for both health and economic opportunity.

“If you are obese in childhood, for whatever the reason, you have a penalty in your adult economic status,” Jin said.

For policymakers, the study offers a broader way to think about the issue, the researchers said. Childhood obesity has often been viewed mainly as a medical concern. The research suggests that, if left unaddressed, childhood obesity may also shape economic opportunity and social mobility for decades to come.

“Interventions that reduce childhood obesity can deliver benefits well beyond lowering medical spending,” said coauthor Zhang. “They can support higher educational attainment, improve job prospects and increase upward economic mobility for the next generation.”

This article first appeared in Rutgers Today.

L-R: Frances Wood (UKRI), and collaborators Bruce Greive (U Manchester), Siobain Duffy (Rutgers), Linda Hanley-Bowdoin (North Carolina State U), Hujun Yin (U Manchester), Jose Trino Ascencio-Ibáñez (NCSU), Vasthi Alonso-Chavez (Rothamsted Research) pictured at the Pioneering UK–US Breakthroughs (PUB) Award event on March 4, 2026. Photo credit: Thomas Pospiech – UKRI North America Thomas.Pospiech@ukri.org

At a reception hosted at the British Embassy in Washington, D.C. on March 4, Professor Siobain Duffy and her international research team were recognized with the Pioneering UK–US Breakthroughs (PUB) Award, a distinction honoring seven collaborative teams whose work is addressing some of the world’s most urgent challenges.

Presented by His Majesty’s Ambassador to the United States, Sir Christian Turner, and UK Research and Innovation (UKRI) International Director Frances Wood, the award highlights the global impact of cross-border scientific partnerships. Duffy, professor and chair of the Department of Ecology, Evolution, and Natural Resources, was part of one of the seven selected teams, recognized for pioneering a transformative technology to detect crop viruses.

Duffy serves as principal investigator on the NSF-BBSRC-funded project, “US-UK Collab: Resurrecting a role for roguing: Presymptomatic detection with multispectral imaging to quantify and control the transmission of cassava brown streak disease.” The research introduces a novel multispectral imaging device capable of detecting viral infections in crops earlier, faster, and more cost-effectively than traditional genetic testing.

Genetic analysis of cassava brown streak disease root necrosis using image analysis and genome-wide association studies. Copyright © 2024 Nandudu, Strock, Ogbonna, Kawuki and Jannink.

“This award reflects the strength of international collaboration in tackling complex global problems,” said Duffy. “By bringing together expertise across disciplines and continents, we are developing tools that can make a real difference for farmers and food systems worldwide.”

At the center of the team’s work is cassava brown streak disease, a devastating viral infection threatening cassava crops across sub-Saharan Africa. Cassava, a staple food for hundreds of millions of people, is also gaining traction globally as a climate-resilient alternative to wheat because it requires less water and can survive in harsher conditions.

The challenge, Duffy explains, is that the disease often goes undetected until it is too late. “The symptoms of the disease are often so subtle on the above-ground parts of the plant that farmers do not know their fields are infected,” she said. “The disease spreads throughout the growing season, and when the roots are harvested, they are full of necrotic lesions.”

To address this, the team has developed a cutting-edge multispectral imaging system that scans cassava leaves using wavelengths beyond the visible spectrum. Combined with machine learning models, the device can identify infected plants before visible symptoms appear—and even earlier than conventional molecular diagnostics.

“Our team has developed a multi-spectral imager that scans cassava leaves with many wavelengths of light,” Duffy explained. “Extensive training has yielded machine learning models that can detect diseased plants earlier than molecular tests, and much earlier than slight symptoms develop.” Early detection enables farmers to remove infected plants before the disease spreads. “If we had a better way to detect which plants were infected earlier in the season, then farmers could ‘rogue’ the diseased plants and prevent further spread of the disease,” she added.

A new device for field-testing crops for Cassava Mosaic and Brown Streak disease. Photo courtesy of UKRI.

The project brings together a highly interdisciplinary team spanning institutions in the United States, the United Kingdom, and East Africa, including molecular virologists, evolutionary biologists, engineers and AI specialists, mathematical modelers, and field-based researchers working directly with farming communities. Field testing of the imaging device is currently underway in Tanzania, where the team is evaluating its effectiveness in real-world conditions.

Looking ahead, Duffy notes that if the technology proves successful, the team plans to partner with Tanzania’s clean seed system to ensure that certified cassava planting material is free of the disease.

The broader implications of the research are significant. By enabling earlier detection and containment of plant viruses, the technology has the potential to reduce crop loss, boost yields, and decrease reliance on expensive laboratory diagnostics. In doing so, it supports local livelihoods, strengthens rural economies, and contributes to more resilient global food systems.

“This technology can help safeguard food security,” said Duffy, underscoring its importance for regions where cassava is a dietary and economic cornerstone.

Funded jointly by the U.S. National Science Foundation and the UK Biotechnology and Biological Sciences Research Council through the Ecology and Evolution of Infectious Disease Program, the project exemplifies how international collaboration can drive innovation with meaningful, far-reaching impact.