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RPI Hosts Launch Event for New Center for Smart Convergent Manufacturing Systems
Rensselaer Polytechnic Institute (RPI) officially cut the ribbon on its new Center for Smart Convergent Manufacturing Systems (CSCMS) during an all-day launch event on October 23, 2025. A New York State Center for Advanced Technology, CSCMS will redefine the very nature of manufacturing by combining robotics, artificial intelligence, advanced processing, and human ingenuity to create systems that think, adapt, and evolve alongside human operators. “Today we mark the official opening of a center with a bold vision: a future where manufacturing systems are not simply automated, but truly intelligent,” said RPI President Martin A. Schmidt ’81 during the ribbon cutting. CSCMS will bring a wealth of opportunities not only to RPI, but across New York State. The new center will serve as a catalyst for economic growth, empowering innovators, driving new technologies, and strengthening the competitiveness of manufacturers. At RPI, students will gain hands-on experience in labs, real-world projects, and entrepreneurial pathways. Faculty and industry partners will gain the resources to translate cutting-edge research into commercial solutions. “Through simulation, prototyping, and translational research, our faculty and students will work side by side with industry and government to accelerate the development and deployment of smart manufacturing solutions,” said President Schmidt. “This is the RPI model at its very best: turning ideas into impact.” The launch event for CSCMS took place on RPI’s campus and featured keynote remarks, a ribbon cutting, industry panel, poster sessions, lab tours, and demonstrations of robotic manufacturing, human-machine collaboration, smart manufacturing testbeds, intelligent production systems, and data visualization spaces. Industry panel speakers included executives from FuzeHub, Ross Precision Manufacturing, GE Aerospace Research, and The Boeing Company. Interactive student poster sessions covered topics such as robotics, AI, advanced manufacturing, and New York’s future at the convergence of these topics. “The launch of CSCMS comes at a pivotal time for manufacturing,” said Johnson Samuel, Ph.D., director of CSCMS. “Across industries, we are seeing the convergence of AI, robotics, and data-driven design transforming how products are made. RPI’s long-standing strengths in engineering, computing, and innovation make it the perfect home for this next-generation center.” “The energy and collaboration we saw during this event are a reflection of the momentum behind the entire CSCMS initiative,” said Sandipan Mishra, Ph.D., associate director of CSCMS. “This launch is the start of a sustained effort to shape the future of intelligent manufacturing in New York and beyond.” "It's exciting that as students, we get to work with these cutting-edge technologies up close and be a part of something that’s pushing manufacturing forward,” said RPI graduate student Ammar Barbee ‘25, who recently completed his bachelor’s degree in mechanical engineering at RPI. “Perusing this kind of research and having access to such advanced equipment enables unique experiences that will really help accelerate our careers.” With the launch of CSCMS, RPI continues to advance its legacy of innovation and partnership, bringing together academia, industry, and government to drive progress in intelligent manufacturing and strengthen New York’s position as a hub for technological excellence.
Do the math: We’re awake roughly 16 hours a day. We spend 10 of those hours staring at screens – phones, tablets, computers, TV, gaming devices. That’s 63% of our waking life. The first platform dedicated entirely to digital balance launching today reveals something even more startling: It's not that we lack willpower to change our behavior. It's that we lack confidence. New proprietary research from Offline.now shows that 8 in 10 people are ready to change their relationship with technology, but more than half are so overwhelmed with their digital habits, they don’t know where to start. “If you don’t learn how to manage the screens in your life, they will manage you,” says Eli Singer, Founder of Offline.now and author of Offline.now: A Practical Guide to Healthy Digital Balance. “When people tell us they feel overwhelmed, it’s not laziness. It’s a crisis of confidence. And confidence is something that can be built.” Digital Wellness Experts Address the Struggles No One Else Will These insights come from digital wellness experts in the Offline.now Digital Wellness Directory – a growing community of licensed professionals across North America specializing in ADHD, relationships, family dynamics, high-achievers, and sustainable behavior change. They’re not offering generic advice. They’re addressing specific digital struggles that define contemporary life. Psychotherapist Harshi Sritharan, who specializes in modern anxiety and ADHD, explains: “The biggest mistake people make is reaching for their phone or turning on their computer first thing in the morning. It injects your dopamine full of uncertainty. You’ve essentially told your brain the most important thing you have to do today is put out fires. I tell clients to delay that first scroll as long as possible and never hit ‘snooze’. You’re fragmenting your REM sleep and making yourself more exhausted. These aren’t willpower issues; they’re about understanding how blue light disrupts your circadian rhythm, especially for those with ADHD who already struggle with sleep regulation.” According to Sritharan, the breakthrough happens when people understand the dopamine cycles driving their dependence and “reframe how they connect with all their screens, whether it’s their phone, gaming console, or streaming TV.” High Achievers Can’t Unplug. The ‘Always-On’ Trap is Killing Productivity, Not Boosting It “A lot of high performers think they need better time management,” says Executive Function Coach, Craig Selinger. “But what they actually need are boundaries. They’ve built empires by being available 24/7, and their phones have become permission slips to say yes to everything.” The difference between old and new technology matters,” he explains. “Back in the day with TV, there was a clear demarcation of beginning and end, right? The episode ends and you move on. Now it’s like Minecraft or TikTok – there’s no ending. And mobility makes it sticky, because you’re physically carrying the drug with you, versus a TV that stayed in one room.” The breakthrough happens when they realize being unavailable on purpose isn’t a weakness. “Things like turning off notifications during deep work, or setting ‘do not disturb’ windows? Those aren’t luxuries. They’re the competitive advantages they’ve been missing.” Digital Dependency as a Third Party in a Relationship Licensed Marriage and Family Therapist Gaea Woods says digital devices are killing interpersonal relationships, not because tech is evil, but because “we use it unconsciously at the moments when connection matters most. When you’re scrolling at dinner, you’re telling your partner ‘my phone is more interesting and important than you’.” The breakthrough happens when couples set explicit agreements: response times, when devices go off-limits – and even what’s it’s OK with AI companions. “We’ve exited the era of meaningful communication without realizing it, and now we must deliberately rebuild it. Nature isn’t ‘Nice to Have’. It’s the Antidote to Screen Fatigue No One is Talking About After running a tech-free camp for 25 years, Personal Development Coach Mark Diamond says he’s seen what happens when kids get genuine face-to-face time interaction outdoors. “Their brains reset. The beauty and physical activity provide perspective that screens can never replicate. Digital dependency has eroded our ability to develop real human connections across all ages, not just teenagers. Screens should not replace the moments that define our wellbeing.” Why This Matters Now The stakes extend beyond personal frustration. Unchecked screen dependency is linked to rising rates of anxiety, deteriorating sleep quality, relationship breakdown, and what mental health experts call “continuous partial attention”, a state where we’re always connected, but never fully present. The Data Reveals When Change is Possible Beyond the confidence divide, Offline.now’s research uncovers the precise moments when users are most open to shifting their digital habits: Evenings from 6 pm-11:59 pm emerge as the “Go Time” window. 40% of self-assessment responders peak readiness to act. Sunday is “Reset Day, when 43% want to set boundaries for the week ahead. Saturdays offer natural opportunities for self-compassion and rest. Afternoons become the “Overwhelm Window”, with 57% feeling consumed by their screens. Critically, Fridays – despite having the highest overwhelm factor – are the worst time for interventions. Users are depleted and change rarely sticks. The Framework That Powers the Platform At the platform’s core is the Offline.now Matrix, a behavioral framework that maps the confidence and motivation levels of users to reveal their starting point: Overwhelmed, Ready, Stuck, or Unconcerned. Based on Singer’s book, Offline.now: A Practical Guide to Healthy Digital Balance, the approach replaces willpower-based advice with microlearning strategies – each taking 20 minutes or less – that track emotional triggers rather than just screen time totals. It offers 100 real-world alternatives to scrolling, from reorganizing a drawer to visiting a thrift shop, and reframes slip-ups as data, not disasters. “The books shows that lasting change doesn’t require deleting Instagram or TikTok tomorrow,” says Singer. “You need to win one personal victory today, and then another tomorrow. That’s how confidence rebuilds.” Propelled by University of Toronto’s Innovation Ecosystem Offline.now is a University of Toronto-affiliated startup, leveraging one of the world’s most powerful innovation networks. U of T is ranked among the top five university-managed business incubators globally and has helped create more than 1,500 venture-backed companies and secured more than CAD$14 billion in investment over the past decade. How Offline.now Works For individuals and families: Take the free self-assessment quiz using the Offline.now Matrix to map your motivation and confidence levels in under three minutes. Receive instant access to practical strategies, curated resources, and a searchable directory of digital wellness experts organized by specialty, location, and insurance coverage. For digital wellness professionals: Join a growing community of licensed mental health practitioners, certified behaviorial coaches, and registered social workers by creating your profile at Offline.now. The platform provides new client leads, professional development opportunities, and visibility in a rapidly expanding market. About Offline.now Offline.now is the first global platform dedicated entirely to achieving digital balance. Founder and author Eli Singer built one of North America’s first social media agencies before seeing technology shift from community-building to attention-harvesting. As a parent, he experienced firsthand the struggle to maintain digital balance. The platform combines proprietary behavioral research, expert guidance and counselling from licensed professionals, and science-backed strategies to help individuals and families build healthier relationships with their screens. Visit Offline.now at https://offline.now Expert Interview Availability Offline.now can arrange interviews with: Eli Singer, Founder – Vision for digital wellness; behavioral data insights Harshi Sritharan, Psychotherapist – Dopamine cycles, ADHD, anxiety and intentional tech use Craig Selinger, Executive Function Coach – Digital distraction in high achievers, family dynamics, ADHD Mark Diamond, Personal Development Coach – Outdoor wellness, sustainable behavior change, happiness, connection Gaea Woods, Licensed Marriage and Family Therapist – Communication, digital third-party relationships, phubbing Additional Resources Free self-assessment quiz - The Offline.now Matrix: https://offline.now/quiz Expert directory and booking: https://offline.now/experts/ Join the directory: https://offline.now/join/ Order Offline.now: A Practical Guide to Healthy Digital Balance: https://offline.now/book/
Acing AI interviews: Career expert on strategies for job seekers
AI-conducted interviews are becoming a standard step in the hiring process, but many job seekers still aren’t sure how to handle them. University of Delaware career expert Jill Gugino Panté says candidates should treat these algorithm-driven interviews with the same seriousness as traditional ones and details how this can be done. Panté, director of UD’s Lerner College Career Services Center, can discuss what today’s AI interview platforms really measure – from confidence and tone to eye contact and facial expressions – and how job seekers can stand out. She can also explain what recruiters are looking for in the AI-generated summaries that often determine who moves to the next round. Panté’s expert tips include: • Check equipment to make sure everything is working and the software is updated; turn off all notifications to avoid distractions and set up the space with good lighting, a neutral background. • Smile and maintain your energy, as some AI software will assess your tone and engagement. • Prepare as you would for any other interview - review the job description, research the organization, use the STAR method (Situation, Task, Action, Result) when providing examples. • Be sure to look at the camera and not the screen. It might feel awkward but that’s technically where the "eye contact" will be. • Some platforms will allow you to review your recording before submitting. Use this opportunity to take notes about your body language, pacing and clarity. To contact Panté directly and arrange an interview, visit her profile and click on the connect button. Interested journalists can also send an email to MediaRelations@udel.edu.
Generative AI may help turn consumers into active collaborators and creators, study finds
In the advertising world, generative AI is transforming the way brands connect with consumers, turning audiences from passive viewers into active creators who can shape and personalize campaign content. A recent study in the International Journal of Advertising, conducted by researchers at the University of Florida’s College of Journalism and Communications, determined that by letting people use AI tools to create images that fit a brand’s style, companies can invite customers to take part in their campaigns. This hands-on approach makes consumers feel more empowered, which can lead to more positive feelings about the brand and a higher likelihood of buying its products. “I came across the Coca-Cola and Heinz campaigns and was amazed by how AI can be used to transform and empower consumers,” said Yang Feng, Ph.D., an associate professor in artificial intelligence in the UF Department of Advertising, who co-conducted the study with assistant professor Yuan Sun, Ph.D. “This inspired me to reach out to Yuan to explore a potential collaboration.” The project began in 2023 following the success of Coca-Cola’s “Create Real Magic” campaign and Heinz’s “AI Ketchup” campaign, both of which allowed customers to engage directly with the brands using generative AI. To test the effectiveness of these types of campaigns, Feng and Sun set up two surveys. The first was given to participants to evaluate their familiarity with generative AI tools and the ways participants used them. This survey illuminated three areas that users felt were enhanced by generative AI: collaboration, creation and communication, which Feng and Sun refer to as the 3C framework. For the second survey, Feng and Sun mocked up a website for Harbor Haven Coffee, a fictional coffee brand committed to sustainability and ethical coffee bean sourcing. “We wanted a company that resonated with as many people as possible,” Sun said. “One of the other goals of the first survey was to find what participants cared about most, which is how we came up with the brand’s eco-friendly mission.” Along with the company’s description and mission statement, a generative AI tool was added to the homepage, encouraging participants to utilize it to produce images using prompts that fell within the brand’s guidelines. While participants were free to put whatever they wanted into the prompt box, each participant got back the same pre-generated image in order to reduce confounding factors. Participants were then asked a final round of questions to get a sense of how participating in this campaign made them feel. Findings from the surveys showed that incorporating generative AI into advertising campaigns increased the chances of turning potential customers into empowered consumers, or individuals who actively participate in brand development rather than passively receive ad content. Feng and Sun found that the reasons behind this empowerment were tied to their 3C framework. First, the collaborative nature of these campaigns fosters a sense of agency in the advertising process. Second, the reciprocal nature of human-generative AI communications boosts consumer confidence by making people feel more in control. Finally, directly engaging consumers and facilitating their creativity through AI builds stronger consumer relationships and reinforces positive brand associations. “This sense of empowerment can be further strengthened with a user interface that facilitates seamless human-generative AI interaction, which is my specialty,” Sun said. “It should prioritize user-friendly features, clear instructions for prompting GenAI and intuitive navigation to enhance the user experience.” However, among the benefits, the researchers also found a potential downside that could limit the success of these kinds of campaigns in the future. “Once AI’s creation capacity surpasses a certain point, consumers may start to feel overwhelmed and no longer view the output as their own creation but rather as the work of the AI, which ultimately diminishes their sense of empowerment,” Feng said. To this end, Feng intends to continue researching the 3C framework. Generative AI could play a big role in advertising going forward, and she hopes to explore its interpretive power in new contexts.
American Nuclear Society names Lane Carasik, Ph.D., as one of its “40 Under 40”
Recognized as an emerging leader in the nuclear science and engineering field, Lane Carasik, Ph.D., assistant professor in the Department of Mechanical and Nuclear Engineering, was recently acknowledged by the American Nuclear Society as one of its top “40 Under 40.” “It is a huge honor to receive this acknowledgement from my professional community,” said Carasik. “I feel it is a reflection of the amazing nuclear engineering activities I’ve gotten the opportunity to pursue before and during my time at the VCU College of Engineering.” The list, featured in the most recent issue of Nuclear News magazine, celebrates young professionals who are driving innovation and shaping the future of nuclear science and technology. Created to spotlight a new generation of nuclear professionals, the “40 Under 40” program highlights those who are advancing technical fields, from advanced reactor deployment to AI applications and national security, while actively engaging the public, mentoring peers and advocating for nuclear’s role to achieve energy independence and security. “Dr. Carasik’s research efforts, together with his support for students and their own research goals, exemplifies the best qualities of the VCU College of Engineering,” said Arvind Agarwal, Ph.D., chair of the Department of Mechanical and Nuclear Engineering, “integrating research and teaching at the core of everything he does, from classroom and lab work to community outreach.” Carasik was selected for the “40 Under 40” from hundreds of candidates across the United States. Mentoring his first three Ph.D. graduates, Arturo Cabral, Connor Donlan and James Vulcanoff, is one of Carasik’s proudest achievements. He was also honored by the American Society of Mechanical Engineers (ASME) as a rising star in mechanical engineering in 2024 This builds off Carasik receiving the highly competitive and prestigious Department of Energy (DOE) Early Career Research Award ($875k split over five years) in 2023 to support his work on molten salt based fusion energy systems similar to Commonwealth Fusion Systems’ ARC technology. Carasik’s Fluids in Advanced Systems and Technology (FAST) research group, is a computational and experimental thermal hydraulics group focused on enabling the development of advanced energy systems and critical isotope production methods. Legendary physicist Enrico Fermi was an early inspiration to Carasik during his undergraduate studies. Fermi’s expertise mirrored Carasik’s interests, and the physicist’s impact on the field of nuclear engineering was motivating. As an established nuclear engineering faculty member, Carasik seeks to make a lasting impact on the field and the people in it. His ’s long-term goal is earning membership in the National Academies of Sciences, Engineering and Medicine.
The missing AI revolution: Smarter leadership, not smarter machines, says workforce expert
Artificial intelligence has transformed industries, but its most overlooked potential lies in helping leaders themselves think more clearly and decide more effectively, according to Saleem Mistry, Associate Professor of Management at the University of Delaware’s Alfred Lerner College of Business & Economics. Mistry focuses on enabling leaders to be more productive, think clearly and make better decisions. Focusing on the leader, not just the organization Mistry’s work examines how leaders at every level can use AI to enhance productivity and decision-making. While most organizational conversations about AI focus on operational efficiency or customer service, he argues that the true frontier is leadership productivity. “Leadership productivity directly shapes organizational performance. AI can be transformative when it helps leaders think faster, decide better and regain the time they’ve lost to administration.” – Mistry As a professor of management and leadership, Mistry is often asked how AI will change the workplace. Those conversations usually revolve around automating workflows, not empowering leaders. Yet, as he notes, an MIT report found that 95 percent of generative AI pilots are failing — largely due to the absence of clear business use cases. That insight shaped his direction: leadership itself may be the missing use case. Having spent much of his earlier career in high technology, Mistry saw firsthand that innovation succeeds or fails based on how effectively leaders model new tools. Demonstrating practical applications Mistry recently analyzed the 2024-2025 U.S. Office of Inspector General reports on leadership challenges based. He analyzed each leadership challenge using three guiding questions: 1) Do the problems stem from leaders struggling with time, decisions or task management? 2) How might AI help? 3) Where could AI have the greatest impact? The results included: Executive Example (Amtrak): AI could power a real-time RACI dashboard to clarify accountability, track decisions and eliminate bottlenecks. Mid-Level Example (EPA): “Agentic AI” could cross-check allegations against verified data before termination decisions, preventing ethical and legal missteps. Supervisor Example (CISA): AI could scan incentive data for waste and anomalies, saving hours of manual review. Why it matters By automating repetitive, data-heavy tasks, AI gives leaders something they desperately need: time. Time to think strategically, coach teams and make better decisions. Mistry’s findings link AI adoption directly to mental well-being, arguing that improved decision productivity leads to improved organizational health. “Decision productivity is business productivity. Organizations that make faster, fairer and more informed decisions outperform those that don’t.” – Mistry Next steps: Building the framework for responsible AI leadership Mistry’s next milestone is to develop a set of leadership use cases that can be used by business leaders at all levels where AI can deliver the greatest impact. He is also developing frameworks for responsible AI adoption that help leaders determine when and how to deploy these tools ethically — across decision-making, communication, planning and task management. “AI won’t replace leaders,” Mistry concludes, “but leaders who learn to use AI effectively will outperform those who don’t.” ABOUT SALEEM MISTRY Associate Professor of Management Alfred Lerner College of Business & Economics Mistry’s research focuses on the future of work, with a particular emphasis on how individuals navigate workplace transitions. His research explores how people adjust to both minor and major changes in their careers, such as shifts in jobs, responsibilities, teams or entire organizations. A growing area of his expertise is the strategic use of artificial intelligence to enhance productivity for leaders, teams and human resource professionals. His research connects academic insights with practical applications, helping to shape how people and organizations adapt to an evolving professional landscape. Reporters who would like to speak to Mistry can click on his profile.
Multi-university AI research may revolutionize wildfire evacuation
As wildfires grow wilder, the University of Florida and two other universities are developing large language models to make evacuations safer and more efficient. Armed with a nearly $1.2 million National Science Foundation grant, UF, Johns Hopkins University and the University of Utah are creating these AI-based models to simulate human behavior during evacuations – information that will help emergency managers shape more effective evacuation plans. “Strengthening wildfire resilience requires accurate modeling and a deep understanding of collective human behavior during evacuations,” said UF project lead Xilei Zhao, Ph.D., an associate professor with the Engineering School of Sustainable Infrastructure and Environment. “There is a critical need for simulation models that can realistically capture how civilians, incident commanders and public safety officials make protective decisions during wildfires.” Xilei Zhao focuses on developing and applying data and computational science methods to tackle problems in transportation and resilience. View her profile here Existing simulation models face limitations, particularly with reliable predictions under various wildfire scenarios. New AI models can simulate how diverse groups of people behave and interact during the hurried scramble to seek safety. Zhao’s team is developing a convergent AI framework for wildfire evacuation simulations powered by psychological theory-informed large language models. The project will produce simulation methods to promote teaching, training and learning, and support wildfire resilience by allowing public safety officials to use open-access tools. “This research seeks to be a transformative step toward improving the behavioral realism, prediction accuracy and decision-support capability of wildfire evacuation simulation models,” Zhao said. Zhao partnered with John Hopkins professor Susu Xu, Ph.D., and University of Utah professors Thomas Cova, Ph.D., and Frank Drews, Ph.D. The preliminary results of the study were recently presented at the 63rd Annual Meeting of the Association for Computational Linguistics. “In that paper, we started to train the model on the survey data we collected to see how we can accurately predict people's evacuation decisions with LLMs,” Zhao said. Research objectives include extending the Protective Action Decision Model for civilians and public safety officials, developing psychological theory-informed large language model agents for protective modeling and generating a realistic synthetic population as input for the simulation platform. The team also plans to develop learning-based simulations and predict human behavior under scenarios such as fire spread, warning and infrastructure damage. This research comes at a critical time, as the number of wildfires has significantly increased globally. About 43% of the 200 most damaging fires occurred in the last decade leading up to 2023, according to a recent study in Science. The intensity, size and volume of wildfires are threatening more urban areas. “If you go into the urban area, many people do not have cars, or they need additional mobility support,” Zhao said. “For example, the LA fires impacted nursing homes with a lot of elderly people, many of whom are immobile or lack the ability to drive. That's a big problem. This would be very relevant to them.” The large language models will provide important context for evacuation planning as well as real-time decision making. “We envision this tool being used during planning,” Zhao said, “so emergency managers can test different kinds of scenarios to determine how to draw the evacuation zones, where to issue the orders first and how to design the communications messaging.” This is important research and critical as wildfires become more common across North America. If you're a reporter looking to connect and learn more - then let us help. Xilei Zhao is available to speak with media - simply click on her icon now to arrange an interview today.
Treat AI as a Teammate—or Risk Falling Behind
AI is shifting from back-office tool to frontline collaborator, "We are witnessing a key inflection point in how organizations work," says LSU professor Andrew Schwarz. He argues the business case is now clear: AI boosts the quality of ideas and expands who gets to contribute, acting less like software and more like a creative partner. He adds that organizations that embed AI "as a teammate will lead," while those that treat it "as simply a cost-saver risk falling behind." That shift, he says, reaches deep into org charts and workflows. Schwarz notes that AI can flatten expertise silos, help less-experienced employees operate closer to expert levels, and spark cross-functional thinking that blends technical and commercial insight. Leaders, he said, must "rethink structures, roles and workflows — placing AI at the heart of how teams collaborate, not simply at the edge." Technology deployment alone won't deliver those gains, "it requires cultural and capability investment," Schwarz said. The priority, in his view, is to "build collaborative ecosystems where human talent and AI capabilities co-create value," invest early to make the "human-plus-AI" model the default, and tap into academic partnerships: "those companies that partner with universities, such as LSU, will have an even greater advantage." Schwarz also urges guardrails as adoption accelerates. He points to the need for transparency, accountability, fairness, and continuous skill development so the transition "enhances human agency, fosters inclusion, and delivers sustainable value for all stakeholders." His bottom line is urgent and straightforward: "When AI joins the team, better ideas truly surface. Let's prepare our organizations to make that transition, and lead from the front."
Supporting the development of advanced computing hardware, the National Science Foundation (NSF) awarded Supriyo Bandyopadhyay, Ph.D., Commonwealth Professor in the Department of Electrical and Computer Engineering at the Virginia Commonwealth University (VCU) College of Engineering with more than $300,000 to develop processor-in-memory architecture using quantum materials. “This is one of the first mainstream applications of quantum materials that have unusual and unique quantum mechanical properties,” Bandyopadhyay said. “Quantum materials have been researched for more than a decade and yet there is not a single mainstream product in the market that utilizes them. We want to change that.” The four-year project, titled “Collaborative Research, Foundations of Emerging Technologies: PRocessor In Memory Architecture based on Topological Electronics (PRIMATE),” aims to advance computing hardware and artificial intelligence by integrating topological insulators and magnetic materials. Topological insulators are a special material with an electrically conductive surface and an insulated interior. They have special quantum mechanical properties like “spin-momentum locking,” which ensures the quantum mechanical spin of an electron-conducting current on the surface of the material is always perpendicular to the direction of motion.This marks the first time such quantum materials will be used in a processor-in-memory system. “We place a magnet on top of a topological insulator,” Bandyopadhyay said. “We then change the magnetization of the magnet by applying mechanical strain on it. That changes the electrical properties of the topological insulator via a quantum mechanical interaction known as exchange interaction. This change in the electrical properties can be exploited to perform the functions of a processor-in-memory computer architecture. The advantage is that this process is fast and extremely energy-efficient.” If successful, this approach could reduce energy use and dramatically speed up computing by moving data processing into the memory itself. It addresses the longstanding “memory bottleneck,” the slowdown caused by computers constantly needing to move data back and forth between processor and memory. These efficiencies could make advanced AI more efficient and accessible, paving the way for the first commercially viable applications of quantum materials.. The research is a collaboration with University of Virginia professors Avik Ghosh and Joseph Poon. A VCU Ph.D. student will work on the project and receive training in fabrication, characterization and measurement techniques, preparing them to lead in the rapidly evolving field of computing hardware.
University Communications Needs a Bigger Role in the Research Conversation
While attending the Expert Finder Systems International Forum (EFS), several notable themes emerged for me over the 2-day event. It's clear that many universities are working hard to improve their reputation by demonstrating the real-world impact of their research to the public and to funders, but it's proving to be a challenging task - even for the largest R1 universities. Many of these challenges stem from how institutions have traditionally organized their research functions, management systems, and performance metrics. Engaging faculty researchers in this process remains a significant challenge, despite the need for rapid transformation. While this EFS conference was very well-organized and the speakers delivered a great deal of useful information, I appeared to be one of the few marketing and communications professionals in a room full of research leaders, administrative staff, librarians, and IT professionals. There's a certain irony to this, as I observe the same phenomenon at HigherEd marketing conferences, which often lack representation from research staff. My point is this. We can't build better platforms, policies, and processes that amplify the profile of research without breaking down silos. We need University Communications to be much more involved in this process. As Baruch Fischhoff, a renowned scholar at Carnegie Mellon University, notes: Bridging the gap between scientists and the public “requires an unnatural act: collaboration among experts from different communities” – but when done right, it benefits everyone. But first, let's dive in a little more into RIM's and Expert Finder Systems for context. What are Research Information Systems (RIMs) Research Information Management systems (aka Expert Finder Systems) are the digital backbone that tracks everything researchers do. Publications, grants, collaborations, patents, speaking engagements. Think of them as massive databases that universities use to catalog their intellectual output and demonstrate their research capacity. These systems matter. They inform faculty promotion decisions, support strategic planning and grant applications, and increasingly, they're what institutions point to when asked to justify their existence to funders, accreditors, and the public. But here's the problem: most RIM systems were designed by researchers, for researchers, during an era when academic reputation was the primary currency. The game has fundamentally changed, and our systems haven't caught up. Let's explore this further. Academic Research Impact: The New Pressure Cooker Research departments across the country are under intense pressure to demonstrate impact—fast. State legislators want to see economic benefits from university research. Federal agencies are demanding clearer public engagement metrics. Donors want stories, not statistics. And the general public? They're questioning whether their tax dollars are actually improving their lives. Yet some academics are still asking, “Why should I simplify my research? Doesn’t the public already trust that this is important?” In a word, no – at least, not like they used to. Communicators must navigate a landscape where public trust in science and academia is not a given. The data shows that there's a lot of work to be done. Trust in science has declined and it's also polarized:. According to a Nov. 2024 Pew Research study, 88% of Democrats vs. 66% of Republicans have a great deal or fair amount of confidence in scientists; overall views have not returned to pre-pandemic highs and many Americans are wary of scientists’ role in policymaking. While Public trust in higher education has declined, Americans see universities having a central role in innovation. While overall confidence in higher education has been falling over the past decade, a recent report by Gallup Research shows innovation scores highest as an area where higher education helps generate positive outcomes. Communication is seen as an area of relative weakness for scientists. Overall, 45% of U.S. adults describe research scientists as good communicators, according to a November 2024 Pew Research Study. Another critique many Americans hold is the sense that research scientists feel superior to others; 47% say this phrase describes them well. The traditional media ecosystem has faltered:. While many of these issues are largely due to research being caught in a tide of political polarization fueled by a significant rise in misinformation and disinformation on social media, traditional media have faced serious challenges. Newsrooms have shrunk, and specialized science journalists are a rare breed outside major outlets. Local newspapers – once a reliable venue for highlighting state university breakthroughs or healthcare innovations – have been severely impacted. The U.S. has lost over 3,300 newspapers since 2005, with closures continuing and more than 7,000 newspaper jobs vanished between 2022 and 2023 according to a Northwestern University Medill Report on Local News. Competition for coverage is fierce, and your story really needs to shine to grab a journalist's attention – or you need to find alternative ways to reach audiences directly. The Big Message These Trends are Sending We can’t just assume goodwill – universities have to earn trust through clear, relatable communication. Less money means more competition and more scrutiny on outcomes. That's why communications teams play a pivotal role here: by conveying the impact of research to the public and decision-makers, they help build the case for why cuts to science are harmful. Remember, despite partisan divides, a strong majority – 78% of Americans – still agree government investment in scientific research is worthwhile. We need to keep it that way. But there's still a lot of work to do. The Audience Mismatch Problem The public doesn't care about your Altmetrics score. The policymakers I meet don't get excited about journal impact factors. Donors want to fund solutions to problems they understand, not citations in journals they'll never read. Yet our expert systems are still designed around these traditional academic metrics because that's what the people building them understand. It's not their fault—but it's created a blind spot. "Impact isn't just journal articles anymore," one EFS conference panelist explained. "It's podcasts, blogs, media mentions, datasets, even the community partnerships we build." But walk into most research offices, and those broader impacts are either invisible in the system or buried under layers of academic jargon that external audiences can't penetrate. Expert systems have traditionally been primarily focused on academic audiences. They're brilliant at tracking h-Index scores, citation counts, and journal impact factors. But try to use them to show a state legislator how your agriculture research is helping local farmers, or explain to a donor how your engineering faculty is solving real-world problems? There's still work to do here. As one frustrated speaker put it: "These systems have become compliance-driven, inward-looking tools. They help administrators, but they don't help the public understand why research matters. The Science Translation Crisis Perhaps the most sobering observation came from another EFS Conference speaker who said it very plainly. "If we can't explain our work in plain language, we lose taxpayers. We lose the community. They don't see themselves in what we do." However, this feels more like a communication problem masquerading as a technology issue. We've built systems that speak fluent academic, but the audiences we need to reach speak human. When research descriptions are buried in jargon, when impact metrics are incomprehensible to lay audiences, when success stories require a PhD to understand—we're actively pushing away the very people we need to engage. The AI Disruption Very Few Saw Coming Yes, AI, like everywhere else, is fast making its mark on how research gets discovered. One impassioned speaker representing a university system described this new reality: "We are entering an age where no one needs to click on content. AI systems will summarize and cite without ever sending the traffic back." Think about what this means for a lot of faculty research. If it's not structured for both AI discovery and human interaction, your world-class faculty might as well be invisible. Increasingly, you will see that search traffic isn't coming back to your beautifully designed university pages—instead, it's being "synthesized" and served up in AI-generated summaries. I've provided a more detailed overview of how AI-generated summaries work in a previous post here. Keep in mind, this isn't a technical problem that IT can solve alone. It's a fundamental communications challenge about how we structure, present, and distribute information about our expertise. Faculty Fatigue is Real Meanwhile, many faculty are experiencing serious challenges managing busy schedules and mounting responsibilities. As another EFS panelist commented on the challenges of engaging faculty in reporting and communicating their research, saying, "Many faculty see this work as duplicative. It's another burden on top of what they already have. Without clear incentives, adoption will always lag." Faculty researchers are busy people. They will engage with these internal systems when they see direct benefits. Media inquiries, speaking opportunities, consulting gigs, policy advisory roles—the kind of external visibility that advances careers and amplifies research impact. And they require more support than many institutions can provide. Yet, many universities have just one or two people trying to manage thousands of profiles, with no clear strategy for demonstrating how tasks such as profile updates and helping approve media releases and stories translate into tangible opportunities. In short, we're asking faculty to feed a system that feels like it doesn't feed them back. Breaking Down the Silos Which brings me to my main takeaway: we need more marketing and communications professionals in these conversations. The expert systems community is focused on addressing many of the technical challenges—data integration, workflow optimization, and new metadata standards — as AI transforms how we conduct research. But they're wrestling with fundamental communication challenges about audience, messaging, and impact storytelling. That's the uncomfortable truth. The systems are evolving whether we participate or not. The public pressure for accountability isn't going away. Comms professionals can either help shape these systems to serve critical communications goals or watch our expertise get lost in translation. ⸻ Key Takeaways Get Closer to Your Research: This involves having a deeper understanding of the management systems you use across the campus. How is your content appearing to external audiences? —not just research administrators, but the journalists, policymakers, donors, and community members we're trying to reach. Don't Forget The Importance of Stories: Push for plain-language research descriptions without unnecessarily "dumbing down" the research. Show how the work your faculty is doing can create real-world benefits at a local community level. Also, demonstrate how it has the potential to address global issues, further enhancing your authority. And always be on the lookout for story angles that connect the research to relevant news, adding value for journalists. Structure Expert Content for AI Discoverability: Audit your content to see how it's showing up on key platforms such as Google Gemini, ChatGPT. Show faculty how keeping their information fresh and relevant translates to career opportunities they actually care about. Show Up at These Research Events: Perhaps most importantly, communications pros need to be part of these conversations. Next year's International Forum on Expert Finder Systems needs more communications professionals, marketing strategists, and storytelling experts in the room. The research leaders, administrators and IT professionals you will meet have a lot of challenges on their plate and want to do the right thing. They will appreciate your input. These systems are being rapidly redesigned - Whether you're part of the conversation or not. The question is: do we want to influence how they serve our institutions' communications goals, or do we want to inherit systems that work brilliantly for academic audiences but get a failing grade for helping us serve the public?
