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Taking ACT-ion for Quality Improvement
“Learning is a journey. It is continuous,” said nurse Hellen Okoth, MSN, CCRN, RN-BC, of the Transitional Surgical Unit. She was one of the learners on that journey through ChristianaCare’s professional development program Achieving Competency Today (ACT). ACT, a 12-week graduate-level program dedicated to health care improvement, will celebrate its 40th session in 2025. Some 1,000 caregivers have graduated from ACT and have tested some 140 innovative project ideas since the program’s launch in 2003. On April 9, three ACT teams presented their quality improvement projects at the John H. Ammon Medical Education Center on ChristianaCare’s Newark campus. Interdisciplinary, experiential learning programs like ACT create a rich and dynamic learning environment,” said Tabassum Salam, M.D., MBA, FACP, chief learning officer for ChristianaCare. “The emphasis on continuous improvement and real-world applications of the educational content sets our ACT graduates up for lifelong learning and repeated application of these new skills.” The ACT course is a collaborative experience that brings together learners from diverse disciplines to tackle real-world health care challenges. Participants learn from health system leaders and gain a broad perspective on health care through coursework. They work in teams to complete problem-solving projects from start to finish using the Plan-Do-Check-Act (PCDA) model of continuous improvement. Facilitators, who are experts in improvement science and team effectiveness, guide the teams through the process, ensuring that each project is meticulously planned and executed. ChristianaCare offers many professional development opportunities. Click here for careers and benefits. “The hands-on projects in ACT enable learners to innovate and test out solutions in settings that directly benefit patients, leading to better outcomes and a higher quality of care,” Salam said. The three most recent teams presented improvement research that has the potential to expand beyond their pilot stage to other areas of the health system. ‘Hush! For the Love of Health’ In “Hush! For the Love of Health,” an interdisciplinary team worked to reduce noise levels on the Cardiovascular Critical Care Unit (CVCCC) at Christiana Hospital. Their goal was to decrease ambient noise levels by 10 decibels during the study period. Intensive care units often experience noise levels that can exceed 80 decibels. A quiet environment is 30 to 40 decibels. Members of the “Hush” project found creative ways to reduce noise on an intensive care unit. Ambient noise refers to all sounds present in the background, which research shows can interfere with communication, concentration and comfort. In a hospital setting, these sounds may include alarms, conversations, announcement and pages and carts moving by. The team looked for opportunities to safely reduce the number of alarms sounding. By collaborating with Philips technology company to lower alarm volumes and eliminate redundant alarms, they reduced the number of alarms sounding from 10,000 to 3,000 daily and successfully decreased noise levels by 13 decibels, exceeding their goal. “It’s good for patients to have a quiet environment and it fights alarm fatigue for caregivers,” said Dylan Norris, a pre-medical student from the University of Delaware and participant in the ACT course. ‘Show Up and Show Out’ Reducing the no-show rate among patients in primary care practices improves health outcomes and conserves resources. In “Show Up and Show Out: Boosting Patient Attendance in Primary Care,” the project team aimed to reduce the incidence of no-show appointments at the Wilmington Adult Medicine (WAM) practice by 10%. The “Show Up and Show Out” project team used personalized communication outreach to patients to encourage keeping their primary care appointments. “Our literature review showed that personal relationships with providers are one thing that can encourage people to attend appointments,” said team member Christi Karawan, MS, BSN, CCRN-CSC. The key to their problem-solving strategy was using a secure messaging platform for automatic appointment reminders specifically for WAM that were personalized with the provider’s name and thanking the patients for letting WAM be a part of their healthcare team. Other steps on the road to success were signage around the practice encouraging patients to update their contact information and calls from office assistants and medical assistants to unconfirmed patients the day prior to their appointments. The team achieved a 9.5% reduction in no-shows, just shy of their goal, over a two-week period. An office assistant who participated in the pilot said, “Outreach has been helpful not only in getting people in but in getting people to reschedule or cancel. We can catch it before it becomes a no-show.” ‘Magnetic Efficiency’ To address delays in patient transport from MRI testing at Newark campus, an ACT team created a new communication workflow to directly connect patient escort dispatch to the MRI charge technician. The ACT team aimed to decrease patient wait times following MRI completion for stretcher transport back to patients rooms by 25% — and “a bold goal,” said one colleague — during the study period. The “Magnetic Efficiency” team identified a new workflow to get patients back to their hospital rooms faster after MRI testing. Using Vocera wearable communications tools, the team created a thread for direct communication between Escort Dispatch caregivers and MRI charge technicians. Also, when an Escort transporter dropped off a patient for an MRI, the transporter asked MRI staff if any patients were ready to go back to their rooms. These changes in communication and empowerment consolidated transports and led to a 17% reduction in wait time during the two-week pilot. “We don’t want people to work harder,” said team member Tim Kane, BSN, RN. “We wanted to avoid preventable delays.” Both teams expressed satisfaction and improved communication with the new process and they expressed interest in continuing the process after the pilot ended. Future forward The ACT course has a rich history, originating from a specific initiative piloted by the Robert Wood Johnson Foundation with ChristianaCare among the early adopters along with Harvard University, the University of Pennsylvania, Johns Hopkins University and Beth Israel Deaconess Medical Center. Through the years, ChristianaCare ACT team members have seen their projects live on both as permanent changes throughout the health system and, more personally, in their professional growth. “I was able to enhance my creativity, organizational and problem-solving skills,” said Starr Lumpkin, a staff assistant who was on the “Hush” team. “This was a pivotal journey for me.” ChristianaCare is growing its program to develop a pipeline for the next generation of health professionals, said Safety and Quality Education Specialist Claire Rudolph, MSM, CPHQ. “We have a varied group of learners and facilitators who are making an impact on health care quality, cost and safety.” Dylan Norris was the first participant from a new partnership with the University of Delaware for pre-med students to get quality improvement experience. “I have learned so much about what goes into a quality improvement project. Buy-in from the stakeholders is key in implementing any new project successfully,” she said. “I have also learned about the importance of the initial research that goes into creating a new project and how much pre-planning goes into it.” Closing the event, Clinical Effectiveness Officer Christian Coletti, M.D., MHCDS, FACEP, FACP, called on the ACT graduates to use their newfound “superpowers” — “vision, seeing the future, catching something before it breaks. “It’s not a glitch in the matrix,” he said. “You are the most important people at the bedside – hearing the alarms going off or the stretchers piling up. Work to identify problems and move toward solutions in your own microenvironments. Pass on your powers with reckless abandon.”
Trump Holds Firm on Resolving Trade Deficit with China
Dr. Meena Bose, Hofstra University professor of political science, executive dean of the Public Policy and Public Service program, and director of the Kalikow Center for the Study of the American Presidency, was featured on Fox News Radio stations around the country, talking about President Trump’s unwillingness to negotiate with China on tariffs. He said that the United States’ trade deficit with China amounts to more than $1 trillion, and he’s not open to making a deal with them until that surplus is resolved. Dr. Bose appeared on WTVN in Columbus, OH; KFTK in St. Louis, MO; WFRK in Florence, SC; WILS in Lansing, MI; WBAP in Dallas, TX; WJR in Detroit, MI; and WHO Des Moines, IA.
A final disbursement of $8.8 million completes the $17.8 million grant awarded by the Department of Defense (DoD) to Virginia Commonwealth University’s (VCU) Convergence Lab Initiative (CLI). The funding allows CLI to continue advancing research in the areas of quantum and photonic devices, microelectronics, artificial intelligence, neuromorphic computing, arts and biomedical science. “The Convergence Lab Initiative represents a unique opportunity to drive innovation at the intersection of advanced technologies, preparing our students to tackle the critical challenges of tomorrow,” said Nibir Dhar, Ph.D., electrical and computer engineering professor and CLI director. “By combining cutting-edge research in electro-optics, infrared, radio frequency and edge computing, we are equipping the next generation of engineers with the skills to shape the future of both defense and commercial industries.” Working with Industry Partnership is at the heart of CLI and what makes the initiative unique. CivilianCyber, Sivananthan Laboratories and the University of Connecticut are among several collaborators focusing on cutting-edge, multidisciplinary research and workforce development. The lightweight, low-power components CLI helps develop are capable of transforming military operations and also have commercial applications. The Convergence Lab Initiative has 25 collaborative projects in this area focused on: Electro-optic and Infrared Technologies: Enhancing thermal imaging for medical diagnostics, search-and-rescue operations and environmental monitoring. This improves military intelligence, surveillance and reconnaissance capabilities. Radio Frequency and Beyond 5G Communication: Developing ultra-fast, low-latency communication systems for autonomous vehicles, smart cities and telemedicine. Accelerating advancements in this area also address electronic warfare challenges and security vulnerabilities. Optical Communication in the Infrared Wavelength: Increasing data transmission rates to create more efficient networks that support cloud computing, data centers, AI research and covert military communications. Edge Technologies: Creating low size, weight and low power-consuming (SWaP) computing solutions for deployment in constrained environments, such as wearables, medical devices, internet of things devices and autonomous systems. These technologies enhance real-time decision-making capabilities for agriculture, healthcare, industrial automation and defense. Benefits for Students College of Engineering students at VCU have an opportunity to engage with cutting-edge research as part of the DoD grant. Specialized workforce development programs, like the Undergraduate CLI Scholars Program, provide hands-on experience in advanced technologies. The STEM training also includes students from a diverse range of educational backgrounds to encourage a cross-disciplinary environment. Students can also receive industry-specific training through CLI’s Skill-Bridge Program, which facilitates direct connections between business needs and academic education. Unlike the DoD program for transitioning military personnel, the CLI Skill-Bridge is open to students from VCU and other local universities, creating direct connections between industry needs and academic training. This two-way relationship between academia and industry is unlike traditional academic research centers. With the College of Engineering’s focus on public-private partnerships, VCU becomes a registered partner with the participating businesses, collaborating to design individualized training programs focused on the CLI’s core research areas. This approach ensures students receive relevant, up-to-date training while companies gain access to a pipeline of skilled talent familiar with the latest industry trends and innovations. “The significance of this grant extends beyond immediate research outcomes. It addresses critical capability gaps for both the DoD and commercial sectors,” says Dhar. “This dual-use approach maximizes DoD investment impacts and accelerates innovation in areas that affect everyday life — from healthcare and environmental monitoring to communication networks and smart infrastructure. Breakthroughs emerging from these collaborations will strengthen national security while creating commercial spinoffs that drive economic growth and improve quality of life for communities both locally and globally. Advances in infrared technology, in particular, will position the VCU College of Engineering as a center for defense technologies and new ideas.”
President Trump Uses Law Enforcement to Access Independent Agencies
Dr. Meena Bose, Hofstra University professor of political science, executive dean of the Public Policy and Public Service program, and director of the Kalikow Center for the Study of the American Presidency, is featured in The Washington Post article: “Trump uses power and police to help DOGE access independent agencies.” “It’s a clear strategy of asserting executive power and challenging any willingness or efforts to restrict that power,” said Dr. Bose.
Why generative AI 'hallucinates' and makes up stuff
Generative artificial intelligence tools, like OpenAI’s GPT-4, are sometimes full of bunk. Yes, they excel at tasks involving human language, like translating, writing essays, and acting as a personalized writing tutor. They even ace standardized tests. And they’re rapidly improving. But they also “hallucinate,” which is the term scientists use to describe when AI tools produce information that sounds plausible but is incorrect. Worse, they do so with such confidence that their errors are sometimes difficult to spot. Christopher Kanan, an associate professor of computer science with an appointment at the Goergen Institute for Data Science and Artificial Intelligence at the University of Rochester, explains that the reasoning and planning capabilities of AI tools are still limited compared with those of humans, who excel at continual learning. “They don’t continually learn from experience,” Kanan says of AI tools. “Their knowledge is effectively frozen after training, meaning they lack awareness of recent developments or ongoing changes in the world.” Current generative AI systems also lack what’s known as metacognition. “That means they typically don’t know what they don’t know, and they rarely ask clarifying questions when faced with uncertainty or ambiguous prompts,” Kanan says. “This absence of self-awareness limits their effectiveness in real-world interactions.” Kanan is an expert in artificial intelligence, continual learning, and brain-inspired algorithms who welcomes inquiries from journalists and knowledge seekers. He recently shared his thoughts on AI with WAMC Northeast Public Radio and with the University of Rochester News Center. Reach out to Kanan by clicking on his profile.
The £1.25m study, being led by the University of Derby, is trialling antiviral medications as a treatment for symptoms of long COVID Professor Ian Maidment from Aston Pharmacy School is the lead pharmacist and will provide support for the clinical trials It is estimated that more than 2m people in the UK and more than 144m globally live with long COVID Professor Ian Maidment, at Aston Pharmacy School, is the lead pharmacist on a groundbreaking research project looking to find a treatment for symptoms of long COVID, which is being led by the University of Derby. The £1.25m trial, which is the first of its kind in the UK, is exploring whether antiviral medications can be used as an effective treatment option for patients diagnosed with long COVID. It is estimated that more than 2m people in the UK and more than 144m globally live with long COVID and almost a quarter of sufferers have had their symptoms for more than two years. Symptoms are broad and include extreme fatigue and breathlessness, palpitations, and brain fog. The trial, which began in September 2024, is part of a wider programme of groundbreaking research being led by the University of Derby. Involving 72 patients, the research is trialling the use of an antiviral drug that can be given to those admitted to hospital because of a COVID-19 infection. As most people experience a community infection and are not hospitalised, they do not have a way to access this medication. By taking the drug out of the acute admission setting, the researchers are hoping to see whether it can help those living with long COVID and alleviate some of the symptoms that they are living with. During the trial, patients undergo a series of assessments at the University of Derby’s specialist facilities before attending the hospital to receive the antiviral drug intravenously for five consecutive days, delivered in collaboration with experts from University Hospitals of Derby and Burton NHS Foundation Trust. Researchers from the University of Exeter are also involved, and the study is being managed by the University of Plymouth’s Peninsula Clinical Trials Unit. Professor Maidment will provide support for the clinical trials. Patients recruited in Exeter will undertake detailed body scans, which will be analysed to check if the antiviral medication has reduced inflammation, which may occur in people with long COVID. Mark Faghy, professor in clinical exercise science at the University of Derby and the study lead, said: “The impact long COVID has on the lives of patients is huge. For many, it can be debilitating, interfering with work, family life, and socialising, and millions are suffering across the world. Yet, at present, there are no confirmed treatments for the condition. Five years on from the start of the pandemic, long COVID remains a significant health and societal challenge, which is why this project is so important. “This is an ongoing project with various phases and is still in its infancy, but we are excited to have taken the first steps to hopefully improve the quality of life for those living with long COVID.” Professor David Strain, clinical lead based at the University of Exeter Medical School, said: “There is a clear need for people living with long COVID and we hope from this study we can see a reduction in the symptoms people experience. It will be an ongoing project with various phases, but we are excited to be taking the first steps to improve patients' quality of life.” Professor Ian Maidment, Aston Pharmacy School, said: “We need clinical trials to develop new and effective treatments for long COVID. Pharmacy support is critical for the successful delivery of these studies.” Over the past four years, Professor Faghy and his team at the University of Derby have conducted a series of international studies to explore the impacts of acute and long COVID, looking to understand the causes and contributing factors of long COVID by bringing clinical insight together with the lived experience of patients.
Virtual reality training tool helps nurses learn patient-centered care
University of Delaware computer science students have developed a digital interface as a two-way system that can help nurse trainees build their communication skills and learn to provide patient-centered care across a variety of situations. This virtual reality training tool would enable users to rehearse their bedside manner with expectant mothers before ever encountering a pregnant patient in person. The digital platform was created by students in Assistant Professor Leila Barmaki’s Human-Computer Interaction Laboratory, including senior Rana Tuncer, a computer science major, and sophomore Gael Lucero-Palacios. Lucero-Palacios said the training helps aspiring nurses practice more difficult and sensitive conversations they might have with patients. "Our tool is targeted to midwifery patients,” Lucero-Palacios said. “Learners can practice these conversations in a safe environment. It’s multilingual, too. We currently offer English or Turkish, and we’re working on a Spanish demo.” This type of judgement-free rehearsal environment has the potential to remove language barriers to care, with the ability to change the language capabilities of an avatar. For instance, the idea is that on one interface the “practitioner” could speak in one language, but it would be heard on the other interface in the patient’s native language. The patient avatar also can be customized to resemble different health stages and populations to provide learners a varied experience. Last December, Tuncer took the project on the road, piloting the virtual reality training program for faculty members in the Department of Midwifery at Ankara University in Ankara, Turkey. With technical support provided by Lucero-Palacios back in the United States, she was able to run a demo with the Ankara team, showcasing the UD-developed system’s interactive rehearsal environment’s capabilities. Last winter, University of Delaware senior Rana Tuncer (left), a computer science major, piloted the virtual reality training program for Neslihan Yilmaz Sezer (right), associate professor in the Department of Midwifery, Ankara University in Ankara, Turkey. Meanwhile, for Tuncer, Lucero-Palacios and the other students involved in the Human-Computer Interaction Laboratory, developing the VR training tool offered the opportunity to enhance their computer science, data science and artificial intelligence skills outside the classroom. “There were lots of interesting hurdles to overcome, like figuring out a lip-sync tool to match the words to the avatar’s mouth movements and figuring out server connections and how to get the languages to switch and translate properly,” Tuncer said. Lucero-Palacios was fascinated with developing text-to-speech capabilities and the ability to use technology to impact patient care. “If a nurse is well-equipped to answer difficult questions, then that helps the patient,” said Lucero-Palacios. The project is an ongoing research effort in the Barmaki lab that has involved many students. Significant developments occurred during the summer of 2024 when undergraduate researchers Tuncer and Lucero-Palacios contributed to the project through funding support from the National Science Foundation (NSF). However, work began before and continued well beyond that summer, involving many students over time. UD senior Gavin Caulfield provided foundational support to developing the program’s virtual environment and contributed to development of the text-to-speech/speech-to-text capabilities. CIS doctoral students Fahim Abrar and Behdokht Kiafar, along with Pinar Kullu, a postdoctoral fellow in the lab, used multimodal data collection and analytics to quantify the participant experience. “Interestingly, we found that participants showed more positive emotions in response to patient vulnerabilities and concerns,” said Kiafar. The work builds on previous research Barmaki, an assistant professor of computer and information sciences and resident faculty member in the Data Science Institute, completed with colleagues at New Jersey Institute of Technology and University of Central Florida in an NSF-funded project focused on empathy training for healthcare professionals using a virtual elderly patient. In the project, Barmaki employed machine learning tools to analyze a nursing trainee’s body language, gaze, verbal and nonverbal interactions to capture micro-expressions (facial expressions), and the presence or absence of empathy. “There is a huge gap in communication when it comes to caregivers working in geriatric care and maternal fetal medicine,” said Barmaki. “Both disciplines have high turnover and challenges with lack of caregiver attention to delicate situations.” UD senior Rana Tuncer (center) met with faculty members Neslihan Yilmaz Sezer (left) and Menekse Nazli Aker (right) of Ankara University in Ankara, Turkey, to educate them about the virtual reality training tool she and her student colleagues have developed to enhance patient-centered care skills for health care professionals. When these human-human interactions go wrong, for whatever reason, it can extend beyond a single patient visit. For instance, a pregnant woman who has a negative health care experience might decide not to continue routine pregnancy care. Beyond the project’s potential to improve health care professional field readiness, Barmaki was keen to note the benefits of real-world workforce development for her students. “Perceptions still exist that computer scientists work in isolation with their computers and rarely interact, but this is not true,” Barmaki said, pointing to the multi-faceted team members involved in this project. “Teamwork is very important. We have a nice culture in our lab where people feel comfortable asking their peers or more established students for help.” Barmaki also pointed to the potential application of these types of training environments, enabled by virtual reality, artificial intelligence and natural language processing, beyond health care. With the framework in place, she said, the idea could be adapted for other types of training involving human-human interaction, say in education, cybersecurity, even in emerging technology such as artificial intelligence (AI). Keeping people at the center of any design or application of this work is critical, particularly as uses for AI continue to expand. “As data scientists, we see things as spreadsheets and numbers in our work, but it’s important to remember that the data is coming from humans,” Barmaki said. While this project leverages computer vision and AI as a teaching tool for nursing assistants, Barmaki explained this type of system can also be used to train AI and to enable more responsible technologies down the road. She gave the example of using AI to study empathic interactions between humans and to recognize empathy. “This is the most important area where I’m trying to close the loop, in terms of responsible AI or more empathy-enabled AI,” Barmaki said. “There is a whole area of research exploring ways to make AI more natural, but we can’t work in a vacuum; we must consider the human interactions to design a good AI system.” Asked whether she has concerns about the future of artificial intelligence, Barmaki was positive. “I believe AI holds great promise for the future, and, right now, its benefits outweigh the risks,” she said.
Myanmar’s earthquake crisis demands international humanitarian intervention - before it’s too late
We are at a crossroads. Will the international community intervene in Myanmar to save lives, or will it once again retreat into silence until it is too late? In the shadow of disaster, silence is complicity. The devastating earthquake that recently struck Myanmar, registering a magnitude of 7.7 and claiming over a thousand lives with the potential for fatalities to rise into the tens of thousands, is far more than a natural calamity - it is a preventable humanitarian catastrophe. The international community must confront a difficult question: How many more lives must be lost before the world steps in? As someone who has studied disaster governance for over two decades, I can say with a heavy heart that what we are witnessing in Myanmar is a textbook case of systemic failure - of national crisis management, of international humanitarian coordination and, most disturbingly, of disaster diplomacy. A Crisis Exacerbated by Inaction The situation on the ground is dire. Entire villages lie in ruins across Shan State and Mandalay. Liquefaction, caused by the shifting of tectonic plates, has turned many areas into unstable wetlands, with water seeping through the ground continuously. With countless bodies left unrecovered and proper sanitation systems overwhelmed, the risk of cholera and other waterborne diseases looms large. In past disasters - be it Haiti in 2010, Nepal in 2015 or the Turkey-Syria earthquake of 2023 - we saw the tragic consequences of slow and politicised humanitarian responses. But Myanmar’s case is uniquely perilous. The country is not only facing a natural disaster but also the aftermath of years of civil conflict, military rule and geopolitical paralysis. The ruling junta’s statements and figures are unreliable at best and disinformation is hampering coordinated international support. When Aid Needs Armour The reality is that humanitarian intervention in Myanmar now requires more than blankets and bottled water - it needs boots on the ground. Given the multiplicity of armed rebel groups and the entrenched conflict dynamics, any aid convoy risks becoming a pawn in a larger power struggle. We need an international peacekeeping force, mandated strictly for humanitarian purposes, to ensure safe and unfettered access to affected populations. This must be a neutral, apolitical force, equipped to operate in a complex, high-risk environment - not to take sides, but to protect lives. Without such security guarantees, humanitarian agencies cannot function, and the crisis will evolve into famine, mass migration, and possibly regional instability across Southeast Asia. A Crisis of Leadership The United Nations, ASEAN, WHO and other key global institutions have yet again fallen short of timely action. The ineffectiveness of their response should prompt a critical reevaluation of their governance structures and crisis leadership models. The deeper issue is not just logistical - it’s moral. In the absence of strong, scientifically-informed and transparent leadership, international aid becomes another layer of dysfunction. We need a new generation of disaster governance professionals - leaders trained not only in logistics and law, but in negotiation, ethics and diplomacy. The Cost of Indifference Myanmar’s crisis will not remain confined within its borders. Already, we are seeing early signs of mass displacement towards India, Thailand and Bangladesh. If left unchecked, these flows will eventually extend to Europe, the UK and beyond, burdening an already overstretched global refugee system. The longer we delay, the greater the consequences - not just for Myanmar, but for the world. A Call for Science, Transparency and Regional Solidarity As academics and practitioners in the field of Disaster Risk Reduction (DRR), we must hold ourselves to the highest standard of integrity. DRR in regions like South and Southeast Asia must be built on inclusive science, open data, regional collaboration and local knowledge. Taiwan and Singapore offer examples of how early warning systems and data transparency can save lives - why aren't we replicating these models more widely? If this disaster teaches us anything, it is that sovereignty cannot be used as a shield for inaction. A disaster of this magnitude transcends politics. It is a test of our global conscience.
How the Black Sea ceasefire could backfire for Ukraine
Washington is touting the proposed Black Sea ceasefire between Ukraine and Russia, but there are signs that Russia could emerge from the deal with the upper hand. Hein Goemans, a political science professor at the University of Rochester whose research focuses on territorial disputes and what starts and ends wars, says the agreement “doesn’t really mean much.” “What matters is territorial divisions,” Goemans says. “I see this ceasefire deal as Russia trying to play the United States.” Goemans says the deal would be reasonable if the U.S. were willing to enforce it with sanctions if, or when, Russia reneges. “Ukraine should not believe this deal is in any way credible if the U.S. is not willing to commit to sanctions if Russia reneges, which it will,” Goemans says. He adds that the deal also favors Russia if other parts of it, like the repatriation of Ukrainian children, are not effected. “The chance that Russia would effectively help with the repatriation of Ukrainian abducted children is zero,” Goemans says. “It appears Russia has not compromised on any dimension.” Goemans recently shared similar thoughts with Newsweek, and is regularly tapped by news outlets around the world for his insights on the war in Ukraine and territorial disputes in hotspots across the globe. Reach Goemans by clicking on his profile.
NASA Grant Funds Research Exploring Methods of Training Vision-Based Autonomous Systems
Conducting research at 5:30 a.m. may not be everybody’s first choice. But for Siddhartha Bhattacharyya and Ph.D. students Mohammed Abdul, Hafeez Khan and Parth Ganeriwala, it’s an essential part of the process for their latest endeavor. Bhattacharyya and his students are developing a more efficient framework for creating and evaluating image-based machine learning classification models for autonomous systems, such as those guiding cars and aircraft. That process involves creating new datasets with taxiway and runway images for vision-based autonomous aircraft. Just as humans need textbooks to fuel their learning, some machines are taught using thousands of photographs and images of the environment where their autonomous pupil will eventually operate. To help ensure their trained models can identify the correct course to take in a hyper-specific environment – with indicators such as centerline markings and side stripes on a runway at dawn – Bhattacharyya and his Ph.D. students chose a December morning to rise with the sun, board one of Florida Tech’s Piper Archer aircraft and photograph the views from above. Bhattacharyya, an associate professor of computer science and software engineering, is exploring the boundaries of operation of efficient and effective machine-learning approaches for vision-based classification in autonomous systems. In this case, these machine learning systems are trained on video or image data collected from environments including runways, taxiways or roadways. With this kind of model, it can take more than 100,000 images to help the algorithm learn and adapt to an environment. Today’s technology demands a pronounced human effort to manually label and classify each image. This can be an overwhelming process. To combat that, Bhattacharyya was awarded funding from NASA Langley Research Center to advance existing machine learning/computer vision-based systems, such as his lab’s “Advanced Line Identification and Notation Algorithm” (ALINA), by exploring automated labeling that would enable the model to learn and classify data itself – with humans intervening only as necessary. This measure would ease the overwhelming human demand, he said. ALINA is an annotation framework that Hafeez and Parth developed under Bhattacharyya’s guidance to detect and label data for algorithms, such as taxiway line markings for autonomous aircraft. Bhattacharyya will use NASA’s funding to explore transfer learning-based approaches, led by Parth, and few-shot learning (FSL) approaches, led by Hafeez. The researchers are collecting images via GoPro of runways and taxiways at airports in Melbourne and Grant-Valkaria with help from Florida Tech’s College of Aeronautics. Bhattacharyya’s students will take the data they collect from the airports and train their models to, in theory, drive an aircraft autonomously. They are working to collect diverse images of the runways – those of different angles and weather and lighting conditions – so that the model learns to identify patterns that determine the most accurate course regardless of environment or conditions. That includes the daybreak images captured on that December flight. “We went at sunrise, where there is glare on the camera. Now we need to see if it’s able to identify the lines at night because that’s when there are lights embedded on the taxiways,” Bhattacharyya said. “We want to collect diverse datasets and see what methods work, what methods fail and what else do we need to do to build that reliable software.” Transfer learning is a machine learning technique in which a model trained to do one task can generalize information and reuse it to complete another task. For example, a model trained to drive autonomous cars could transfer its intelligence to drive autonomous aircraft. This transfer helps explore generalization of knowledge. It also improves efficiency by eliminating the need for new models that complete different but related tasks. For example, a car trained to operate autonomously in California could retain generalized knowledge when learning how to drive in Florida, despite different landscapes. “This model already knows lines and lanes, and we are going to train it on certain other types of lines hoping it generalizes and keeps the previous knowledge,” Bhattacharyya explained. “That model could do both tasks, as humans do.” FSL is a technique that teaches a model to generalize information with just a few data samples instead of the massive datasets used in transfer learning. With this type of training, a model should be able to identify an environment based on just four or five images. “That would help us reduce the time and cost of data collection as well as time spent labeling the data that we typically go through for several thousands of datasets,” Bhattacharyya said. Learning when results may or may not be reliable is a key part of this research. Bhattacharyya said identifying degradation in the autonomous system’s performance will help guide the development of online monitors that can catch errors and alert human operators to take corrective action. Ultimately, he hopes that this research can help create a future where we utilize the benefits of machine learning without fear of it failing before notifying the operator, driver or user. “That’s the end goal,” Bhattacharyya said. “It motivates me to learn how the context relates to assumptions associated with these images, that helps in understanding when the autonomous system is not confident in its decision, thus sending an alert to the user. This could apply to a future generation of autonomous systems where we don’t need to fear the unknown – when the system could fail.” Siddhartha (Sid) Bhattacharyya’s primary area of research expertise/interest is in model based engineering, formal methods, machine learning engineering, and explainable AI applied to intelligent autonomous systems, cyber security, human factors, healthcare, explainable AI, and avionics. His research lab ASSIST (Assured Safety, Security, and Intent with Systematic Tactics) focuses on the research in the design of innovative formal methods to assure performance of intelligent systems, machine learning engineering to characterize intelligent systems for safety and model based engineering to analyze system behavior. Siddhartha Bhattacharyya is available to speak with media. Contact Adam Lowenstein, Director of Media Communications at Florida Institute of Technology at adam@fit.edu to arrange an interview today.
