Jerome Lynch is the Vinik Dean of Engineering and Fitzpatrick Family University Distinguished Professor of Engineering at Duke University. He holds joint professorships in the Department of Civil and Environmental Engineering and the Department of Electrical & Computer Engineering. His research focuses on cyber-physical systems for intelligent infrastructure, structural health monitoring, and multifunctional nanocomposites. Lynch has led interdisciplinary initiatives to enhance infrastructure resilience through sensor integration and data analytics. Education: B.S. The Cooper Union (1997), M.S.C.E. & Ph.D. Stanford University (1998-2003) Research Interests: Developing sensor networks and AI-driven frameworks to assess infrastructure performance. His work bridges civil engineering with electrical systems, emphasizing real-time monitoring and community engagement. He pioneered methods for non-destructive evaluation of bridges, railways, and prosthetic implants. Publications reflect advancements in wireless sensor deployment, UAV-based monitoring, and smart city technologies. His work on participatory traffic control and bio-compatible sensors showcases cross-disciplinary innovation. Awards : ASCE Fellow (2021), NSF CAREER Award (2009), PECASE (2009), Henry Russel Award (2007) Lynch advises on federal climate initiatives and chairs Duke's Climate Exchange. His labs focus on urban sensing and smart infrastructure resilience. Current projects include methane measurement systems for landfills and AI-driven social space utilization analysis.
Ryan Weaver is an Assistant Professor in the Department of Ecology and Evolutionary Biology at Iowa State University, leading the Evolutionary Bioenergetics Lab. His research investigates how organisms meet bioenergetic demands under environmental and physiological stressors, focusing on mitochondrial physiology, mitonuclear coevolution, and carotenoid metabolism. Study systems include fungal pathogens, copepods, snails, and bumblebees. Education includes a B.S. in Environmental Studies from Virginia Commonwealth University (2013) and a Ph.D. in Biology from Auburn University (2018). His work integrates experimental and bioinformatic methods to explore evolutionary dynamics of energy production systems and signal honesty in animal coloration. Research themes emphasize mitochondrial alternative oxidase evolution, genomic signatures of mitonuclear interactions, and the role of carotenoids in honest signaling. His 2023 publications highlight critiques of condition-dependent trait theories and methodological approaches in ecological data analysis. Notable work includes studies on hybrid dysfunction in carotenoid production and lifespan predictions from early-life reproductive events. Grants include a 2019 NSF Postdoctoral Fellowship investigating mitochondrial respiratory chain roles in sexual reproduction. The lab’s interdisciplinary focus bridges evolutionary physiology, genetics, and ecology, with implications for understanding organismal adaptation to challenging environments.
Sybille Hellebrand is a Professor and Head of the Data Technology (DATE) department at the University of Paderborn, within the Faculty of Electrical Engineering, Computer Science and Mathematics. She leads research in testing methodologies, fault tolerance, and reliability engineering. Her work focuses on advanced testing techniques for nanoelectronic systems, including BIST (Built-In Self-Test), delay fault analysis, and interconnect reliability under process variations. Key research areas include: Testing and diagnosis of electronic systems Robust testing under PVT (Process-Voltage-Temperature) variability Functional safety of interconnects Approximate communication for error-tolerant systems Hardware fault modeling and simulation Recent publications emphasize advancements in storage-based BIST optimization, defect vs. fault coverage analysis, and cross-talk delay modeling using polynomial regression. She has contributed to international conferences such as European Test Symposium (ETS), IEEE Latin American Test Symposium (LATS), and International Symposium of EDA (ISEDA). Teaching responsibilities include courses on systems engineering, quality assurance in microelectronics, and algorithms for test and diagnosis of systems-on-chip. Her work aligns with emerging challenges in nanoelectronics, including reliability under variations and fault-tolerant communication. No specific awards or grants are listed in the provided texts, but her extensive publication record underscores her leadership in testing and reliability research. The DATE lab at Paderborn University serves as a core research hub for her activities.
Lindsay Nelson, PhD, is a Professor at the Medical College of Wisconsin (MCW), holding joint appointments in Neurosurgery and Neurology. She leads the Nelson Laboratory within the Brain Injury Research Program, focusing on traumatic brain injury (TBI) recovery, clinical outcomes, and patient-centered care. Her research includes psychometric methods, neurobiological underpinnings of TBI, and personalized medicine approaches. Education: PhD in Clinical Psychology (Florida State University, 2012), MA in Clinical Science (University of Minnesota, 2009), BS in Biopsychology (University of Michigan, 2006). She completed a neuropsychology fellowship at MCW (2012-2014). Research Interests: Heterogeneity in TBI presentation, outcome measurement improvement, individual differences in recovery, and systemic care advancements. Active projects include phenotyping TBI subtypes, optimizing clinical trial endpoints, and addressing environmental and psychosocial modifiers. Publications: Over 30 peer-reviewed articles since 2021, focusing on TBI classification, biomarkers, and longitudinal outcomes. Recent work highlights the NIH-NINDS TBI Classification Initiative and TRACK-TBI cohort studies. Awards: Postgraduate Scholar Award (2014), NIMH Research Service Award (2010-2011), and multiple fellowships (2008-2009). Labs/Teams: Principal Investigator of the Nelson Lab, collaborating with TRACK-TBI, CENTER-TBI, and InTBIR networks. The lab emphasizes interdisciplinary research, leveraging resources at Froedtert Hospital and MCW’s Neuroscience Research Center.
Steven Hegedus is a Continuing Track Professor in the Department of Electrical and Computer Engineering (ECE) and a Senior Scientist at the Institute of Energy Conversion (IEC) at the University of Delaware (UD). He holds a PhD from UD and has dedicated over 35 years to solar photovoltaic (PV) research, with a split appointment since 2018 combining academic and research roles. His work spans all commercially active solar technologies, focusing on device processing, characterization, and stability. Current research emphasizes microgrids, smart inverters, bifacial PV modules with battery storage, and policy analysis for community solar initiatives in Delaware. He teaches interdisciplinary courses on Solar Electric Technology and Renewable Energy Microgrids, having advised over 15 graduate students. Collaborations with the Energy and Environmental Policy Department have produced analyses of rooftop solar economics and policy frameworks for low-income communities. Dr. Hegedus co-edited the Handbook of Photovoltaic Science and Engineering and serves on the Delaware Renewable Energy Task Force. He was the first in Newark, DE to install a rooftop PV system and is an IEEE Senior Member. His research extends to hardware-in-loop testing for smart inverters, grid stability, and resilience of commercial microgrids. Ongoing projects include bifacial module deployment and integration of distributed energy resources. His work bridges technical innovation with policy, aiming to enhance grid reliability and equitable renewable energy access.
Clare Dixon is a Professor of Computer Science in the Department of Computer Science at the University of Manchester, where she leads the Autonomy and Verification research group. Previously, she held a Professorship at the University of Liverpool (2001–2020) and was a Senior Research Fellow at Manchester Metropolitan University (1995–2000). She also holds an honorary professorship at the University of Liverpool (2020–2023). Her research focuses on verification for robotics and autonomous systems, formal methods, temporal and modal logics, and theorem proving. Key applications include ensuring systems meet safety and reliability requirements through tools like model checkers and theorem provers. She collaborates with robotics engineers to apply formal verification techniques in dynamic environments and swarm systems. Research Interests: Verification of autonomous systems, formal specification, temporal logics, automated reasoning, and reliable robotics. Her work aligns with UN Sustainable Development Goals, particularly in advancing reliable technology and improving quality of life. Awards: Best Paper Award (2018) Invitation to Sister Conference Best Paper Track (2017) Springer Best Paper Award (2014) Projects: She is a Co-Investigator in major initiatives such as the Centre for Robotics and Artificial Intelligence , FAIR-SPACE Hub , and S4: Science of Sensor System Software , focusing on autonomous systems, space robotics, and secure sensor networks. Labs/Teams: Leads the Autonomy and Verification group at Manchester and contributes to interdisciplinary teams in robotics, formal methods, and AI ethics.
Professor Daniel Sundmark is affiliated with Mälardalen University's School of Innovation, Design and Engineering, specifically within the Division of Computer Science and Software Engineering. His research focuses on software testing methodologies, embedded systems, fault management, and resilience engineering. He has published extensively on topics such as API testing, concurrency bugs, and safety-critical systems. Key research areas include: Model-based testing frameworks Automated test generation for embedded systems Resilience and fault recovery in networking systems Requirements engineering and similarity analysis His work spans both academic contributions and industrial collaborations, addressing challenges in automotive, railway, and telecommunications domains. Recent publications emphasize resilient system design, real-time systems, and automated testing strategies. Notable projects include the Alcea architecture analysis method and studies on fault management frameworks. He also explores integration testing challenges and the role of test automation in agile development. His research outputs demonstrate a strong focus on bridging theory and practice, with over 50 peer-reviewed articles since 2001 covering topics from concurrency bug detection to TDD optimization.
Dr. Joseph Pierre is a Health Sciences Clinical Professor in the Department of Psychiatry and Behavioral Sciences at the University of California, San Francisco (UCSF) School of Medicine. He serves as the Unit Chief of the Langley Porter Psychiatric Hospital Adult Inpatient Unit and has extensive clinical experience working with individuals with psychotic disorders, substance abuse, and dual diagnosis conditions. Dr. Pierre has published over 100 papers, abstracts, and book chapters, and is the author of False: How Mistrust, Disinformation, and Motivated Reasoning Make Us Believe Things That Aren't True as well as the Psych Unseen blog at Psychology Today. MIT, Cambridge, MA - SB in Biology/Psychology (1992) UCLA School of Medicine, Los Angeles, CA - MD in Medicine (1996) UCLA Neuropsychiatric Institute, Los Angeles, CA - Psychiatry Residency (2000) Dr. Pierre's research focuses on the intersection of psychopathology and normal cognition, particularly examining delusion-like beliefs including conspiracy theories. His work spans schizophrenia research, antipsychotic medications, substance-induced psychosis, auditory hallucinations, and the neuroscience of free will. His recent publications demonstrate a growing emphasis on the psychological mechanisms behind conspiracy theory belief and the societal implications of misinformation. His forensic work explores the boundaries between pathological and non-pathological belief systems, particularly in legal contexts. Dr. Pierre serves as an expert witness consultant in forensic and legal cases involving schizophrenia, the intersection of psychosis and ideological belief, and delusion-like beliefs. His media appearances and public engagement, including Psychology Today blog posts and interviews about topics like 'ChatGPT psychosis' and conspiracy theory interventions, demonstrate his commitment to translating complex psychiatric concepts for broader audiences. His work bridges clinical practice, academic research, and public discourse on mental health and belief systems.
Peter Bright is a Professor of Psychology at Anglia Ruskin University , with affiliations to the Vision and Eye Research Institute , the Multilanguage and Cognition Lab (MULTAC) at University College London, and Cambridge Neuroscience . His academic career spans neuropsychological assessment, bilingual cognition, and memory/attention research. PhD, University of Cambridge (1999) MSc, University of Reading (1993) BSc, University of Surrey (1991) His research focuses on neurocognitive bases of memory and language , intelligence and cognitive control , and bilingual cognition . Recent work explores neuroimaging and neuropsychological testing across developmental and clinical populations. Key publications (2024-2023) analyze adjustment after acquired brain injury , premorbid intelligence estimation , and lifespan bilingualism effects . His grants include British Academy/Leverhulme funding for bilingual child development and Leverhulme Trust grants for cognitive neuroscience projects. As an editorial board member for journals like Scientific Reports and Frontiers in Psychology , he contributes to academic discourse. Supervision includes PhD students in memory , executive function , and bilingual cognition .
Peter Van Den Bossche is a Professor at the Department of Engineering Technology, Vrije Universiteit Brussel, and a senior researcher at the MOBI - Electromobility Research Centre. His work focuses on standardization of electric vehicles, traction batteries, and electric propulsion systems. University: Vrije Universiteit Brussel Research Center: MOBI - Electromobility Research Centre His research interests include: Standardization of electrically driven vehicles Lithium-ion battery technology Vehicular visible light communication Structural optimization of battery modules Reliability assessment of EV batteries Smart EV charging infrastructure Recent publications span topics from battery swapping systems (Stan4swap, 2025) to co-design methodologies for battery packs. His work has been cited over 8,399 times, reflecting significant impact in electromobility research. Scientific accolades include: Best Paper Award (Energies Journal, 2018) Best Presentation Award (2015) NATO RTO Scientific Achievement Award (2005) He has supervised numerous doctoral and master's theses, including: Advanced Lifetime Modeling of Li-ion Batteries (2021) DC-DC Bidirectional Converters (2018) CO2 Climate Impact Analysis of Aviation (2010)
Alessio Carullo is a Full Professor at the Polytechnic University of Turin , affiliated with the Department of Electronics and Telecommunications (DET) and the PolitoBIOMed Lab (Biomedical Engineering Lab). He specializes in electrical metrology, sensor systems, and biomedical device development. Expertise : Calibration, impedance metrology, quantum Hall effect, smart sensors, wearable systems, measurement uncertainty SDG Contributions : Health & Well-being, Clean Energy, Sustainable Cities His research focuses on biomedical sensor networks, industrial monitoring systems, and energy communities. He leads projects like VIA (voice monitoring for MS patients) and BRIC-2024 (noise impact analysis). His work bridges electrical engineering with healthcare and sustainability. Recent publications address voice quality analysis in neurological disorders, wireless sensor networks for industrial plants, and energy system monitoring. He supervises PhD students in biomedical and industrial sensor applications while teaching metrology and data acquisition systems.
Brian J. Hafner is a Professor and Director of Research in the Division of Prosthetics & Orthotics at the University of Washington. He holds appointments as a professor in the Department of Rehabilitation Medicine within the School of Medicine and serves as an adjunct professor in the Department of Mechanical Engineering. Dr. Hafner is also a principal investigator at the University of Washington Center on Outcomes Research in Rehabilitation (UWCORR). Dr. Hafner's educational background includes: PhD in Bioengineering from the University of Washington (2003) Prosthetics Certificate from Northwestern University (2009) BS in Mechanical Engineering from Oklahoma State University (1993) Dr. Hafner's research focuses on the development, evaluation, and application of state-of-the-art outcome measures for measuring constructs such as mobility and fall-related health in people with limb loss/difference and other disabling neuromuscular and musculoskeletal conditions. His primary research interests include development of tools to improve measurement of health outcomes in lower limb prosthesis users and evaluation of advanced prosthetic technologies intended to improve performance, function, and quality-of-life in people with lower limb amputation. He has served as principal investigator on projects funded by the U.S. National Institutes of Health (NIH), U.S. Department of Defense (DOD), Orthotics & Prosthetics Education and Research Foundation (OPERF), and American Academy of Orthotists and Prosthetists (AAOP). Analysis of Dr. Hafner's recent publications reveals a strong focus on outcome measurement in prosthetics and orthotics, with particular emphasis on developing and validating patient-reported outcome measures. His work spans multiple domains including mobility assessment, fall prevention, prosthetic technology evaluation, and addressing health equity in limb loss research. A significant portion of his recent work involves the development and validation of the Orthotic Patient-Reported Outcomes-Mobility (OPRO-M) instrument and examining issues related to residual limb volume management. Dr. Hafner has received numerous prestigious awards including: Research Award from the American Academy of Orthotists and Prosthetists (2022, 2008) Certificate of Appreciation for Outstanding Performance and Lasting Contributions to O&P (2014) Thranhardt Lecture Award (2013, 2006) Thranhardt Award from the American Orthotic and Prosthetic Association (2013) Honorary Membership in the American Academy of Orthostists and Prosthetists (2011) As an educator, Dr. Hafner teaches in the Master in Prosthetics & Orthotics (MPO) Program, with primary responsibility for RHB PO 581, Outcome Measures for the Prosthetics and Orthotics Clinic. His research funding includes grants from the NIH, DOD, OPERF, and AAOP, with current work aimed at enhancing the impact of health status instruments through rigorous development, psychometric evaluation, translation, and integration into electronic health record systems. Dr. Hafner is affiliated with the University of Washington Center on Outcomes Research in Rehabilitation (UWCORR), where he conducts interdisciplinary research focused on improving outcomes for individuals with disabilities, particularly those with limb loss. His laboratory work often involves collaboration with engineers, clinicians, and researchers across multiple disciplines to develop innovative solutions for prosthetic and orthotic care.
Jonas Olofsson is a Full Professor of Psychology at Stockholm University, where he leads the Sensory Cognitive Interaction Laboratory. His research explores the intersection of olfaction, memory, and emotion, with a focus on how smell influences cognitive processes. He investigates olfactory markers for dementia, odor-naming challenges, and therapeutic applications of smell-based interventions. His work employs behavioral experiments and neuroimaging techniques. Olofsson holds a PhD from Umeå University (2008) and a docentship from Stockholm University (2009). He has held affiliations with Northwestern University, The Scripps Research Institute, Karolinska Institutet, and New York University. His research is funded by the Swedish Research Council, Wallenberg Foundations, and the Swedish e-Science Research Centre. His recent publications emphasize olfactory dysfunction in aging and post-COVID contexts, virtual reality applications for smell training, and cross-cultural studies of odor perception. Articles frequently integrate neuroscience, psychology, and computational methods to decode sensory-cognitive interactions. Awards include: Member of Academia Europaea (2021) Wallenberg Academy Fellow (2016) Fulker Award for best article in Behavior Genetics (2009) Swedish National Committee Prize for Young Researchers (2010) He directs the Sensory Cognitive Interaction Laboratory, coordinating interdisciplinary projects on olfactory perception and its clinical applications. No student advisees or part-time status are explicitly mentioned.
Robert J Connor is the **Jack and Kay Hockema Professor in Civil Engineering** and **Director of the CAI and S-BRITE centers** at Purdue University's **College of Engineering**. He is affiliated with the **Civil and Construction Engineering Department**, focusing on advancing structural engineering and infrastructure resilience. Research Interests**: Connor specializes in steel bridge engineering, fatigue analysis, nondestructive evaluation (NDE), and risk-based inspection practices. His work emphasizes improving infrastructure safety through innovative inspection techniques, material characterization, and sustainable maintenance strategies. Key areas include fracture mechanics, load redistribution in damaged structures, and lifecycle extension of corroded steel girder bridges. Recent Trends**: His publications (2023–2025) highlight advancements in risk-based inspection frameworks, acoustic NDE methods for steel bridges, and formalized protocols for pedestrian bridge safety. He also explores fracture resilience of built-up steel components and the integration of high-toughness steels into bridge designs. Labs/Initiatives**: Leads the **Center for Advanced Infrastructure and Transportation (CAI)** and **Steel Bridge Research, Inspection, Training, and Engineering (S-BRITE)** Center, driving interdisciplinary research to address global infrastructure challenges. Grants & Advising**: While no specific grants or students are listed, his role as a professor and center director suggests active involvement in funded projects and graduate supervision in structural engineering domains.
Vikas Tomar is a Professor in the School of Aeronautics and Astronautics at Purdue University, where he has served since 2006. He holds a Ph.D. from Georgia Institute of Technology (2005), an MBA from UC Berkeley (2023), and Indian degrees from IIT Madras and NIT Kurukshetra. His research focuses on materials in extreme environments, including non-equilibrium phenomena (e.g., shock dynamics) and autonomy energy intelligence (e.g., battery management systems). He leads the Interfacial Multiphysics Lab, which has produced over 400 publications, 11 patents, and 16 PhD graduates. Key achievements include ASME Fellow status (2016), the AFoSR Young Investigator Award (2009), and multiple teaching/mentorship awards. His lab’s work spans experimental methods like Mechanical Raman Spectroscopy (patented) and computational models for battery safety and energetic materials. Education: MBA, UC Berkeley, 2023 Ph.D., Georgia Tech, 2005 M.Tech., IIT Madras, 2001 B.Tech., NIT Kurukshetra, 1998 Awards: University Faculty Scholar (2016–2021) W A Gustafson Best Teacher Award (2019–20) VAJRA Faculty Award (2019) Over 30+ patents, grants, and editorial roles in journals. Research interests include: Shock physics and nanosecond Raman spectroscopy Battery safety and AI-driven energy systems Interface mechanics in materials and biomaterials Lab contributions include pioneering work on battery thermal runaway prediction and smart management systems, as well as advanced imaging techniques for material characterization under extreme conditions.
