Arthur Trembanis

As audiences flock to theaters for Christopher Nolan's The Odyssey, University of Delaware professor Art Trembanis is leading a real-life expedition to uncover one of ancient Greece's most important maritime landscapes. Trembanis, a professor in UD's School of Marine Science and Policy and an expert in seafloor mapping, marine robotics and underwater sensing technologies, recently led a team of students and researchers to the ancient harbor of Kenchreai, where they deployed autonomous underwater vehicles, advanced sonar systems and other cutting-edge mapping technologies to document a harbor that has remained hidden beneath the Mediterranean Sea for centuries. The expedition collected geospatial data that will allow researchers to reconstruct the ancient port in remarkable detail and ultimately create a "digital twin" of the site. The virtual model will enable archaeologists, engineers, students and the public to explore the harbor as if the water had been removed, preserving an invaluable piece of cultural heritage while advancing the use of marine technology in archaeology. Trembanis can discuss: Marine robotics and autonomous underwater vehicles Seafloor mapping and underwater imaging technologies The use of digital twins and 3D modeling to study underwater environments Advances in marine geospatial technology and ocean exploration Underwater archaeology and documenting submerged cultural heritage How engineering and marine science are transforming the study of oceans and ancient landscapes The role of emerging technologies in scientific discovery and education To arrange an interview with Trembanis, click on his profile or email mediarelations@udel.edu.

With global oyster populations having declined by more than 85% from historical levels, restoring and monitoring these critical ecosystems is more urgent than ever. But traditional monitoring methods aren’t cutting it. A team of researchers that included the University of Delaware's Art Trembanis have taken a new approach, testing an AI model designed to recognize live oysters from underwater images. The findings? The AI model, called ODYSSEE, was faster than human experts and non-expert annotators, processing in just 40 seconds what took humans up to 4.5 hours. But it wasn’t yet as accurate. In fact, the tool misidentified more live oysters than both groups of human annotators. Still, the team found that ODYSEE has real potential to monitor reefs in real time. Why does this matter? As climate change, pollution and overharvesting continue to pressure coastal environments, more precise and non-invasive monitoring tools like ODYSSEE could become essential to restoration efforts and environmental policy. Trembanis can discuss this new tool and its ability to identify live oysters without disturbing the reef. His expertise in oceanography, engineering and robotics expertise was key to the team's work. The results, published in the journal Frontiers, offer both caution and hope in the race to improve ocean monitoring with emerging technologies. To set up an interview with Trembanis, visit his profile and click on the contact button.

In recent years, there has been a significant shift in the way seafloor research is conducted, all thanks to the groundbreaking advancements in artificial intelligence (AI) technology. The depths of our oceans have always been a mystery, but with the use of AI, scientists and researchers are now able to explore and uncover the hidden secrets that lie beneath the surface. With funding from the Department of Defense, University of Delaware oceanographer Art Trembanis and others are are using artificial intelligence and machine learning to analyze seafloor data from the Mid-Atlantic Ocean. The goal is to develop robust machine-learning methods that can accurately and reliably detect objects in seafloor data.  “You can fire up your phone and type dog, boat or bow tie into a search engine, and it's going to search for and find all those things. Why? Because there are huge datasets of annotated images for that,” he said. “You don't have that same repository for things like subway car, mine, unexploded ordnance, pipeline, shipwreck, seafloor ripples, and we are working to develop just such a repository for seabed intelligence.” Trembanis is able to talk about this research and the impact it could have on our day to day lives. He can be contacted by clicking his profile.  “You have commercial companies that are trying to track pipelines, thinking about where power cables will go or offshore wind farms, or figuring out where to find sand to put on our beaches,” said Trembanis. “All of this requires knowledge about the seafloor. Leveraging deep learning and AI and making it ubiquitous in its applications can serve many industries, audiences and agencies with the same methodology to help us go from complex data to actionable intelligence.” He has appeared in The Economic Times, Technical.ly and Gizmodo.