Adam Houston is a Professor in the Department of Earth and Atmospheric Sciences at the University of Nebraska-Lincoln, where he has served since 2006 after joining as an assistant professor. His research centers on severe local storms and cloud/mesoscale atmospheric phenomena. Education: Ph.D. in Atmospheric Sciences, University of Illinois at Urbana-Champaign (2004) B.S. in Meteorology, Texas A&M University Dr. Houston's expertise spans atmospheric convection , severe weather , mesoscale processes , and climate diagnostics . He leads the Severe Storms Research Group (SSRG), investigating deep convective initiation, supercell dynamics, and airmass boundary influences using numerical modeling and observational techniques including UAS and Doppler radar. Analysis of recent publications (2023-2025) reveals dominant themes in deep convection initiation mechanisms , supercell thunderstorm dynamics , and UAS-based atmospheric profiling . His work increasingly addresses urban impacts on convection and data assimilation for severe storm forecasting through major field campaigns. Research Infrastructure: Severe Storms Research Group (SSRG) Principal investigator in TORUS, LAPSE-RATE, and SCALES field campaigns NSF-funded collaborative projects including AGS-FIRP Track 1 initiatives
Jennifer M. Mundt, PhD, DBSM is a Clinical Associate Professor in the Department of Family & Preventive Medicine at the University of Utah . Specializing in Sleep Medicine and Family Medicine , she focuses on behavioral and psychological interventions for sleep disorders like narcolepsy, NREM parasomnias, insomnia, and fibromyalgia-related sleep issues . Education: Ph.D. in Clinical Health Psychology - University of Florida M.S. in Mental Health Counseling - Central Washington University B.A. in Psychology - Seattle Pacific University Internship - Ann Arbor VA Healthcare System Postdoctoral Fellowship - Durham VA Medical Center Her research explores sleep-pain interactions, mindfulness-based therapies, and cognitive behavioral interventions , with a focus on comorbid conditions like fibromyalgia and insomnia. Recent work includes targeted lucidity reactivation for narcolepsy-related nightmares and telehealth-based hypersomnia treatments . Notable contributions include the SPIN randomized controlled trial and systematic reviews on behavioral treatments for parasomnias. Her publications span journals like Sleep , J Sleep Res , and J Clin Sleep Med . Scientific Awards: Board Certification in Behavioral Sleep Medicine
Dr. Carrie Weidner is a Senior Lecturer at the University of Bristol, affiliated with both the School of Physics and the School of Electrical, Electronic and Mechanical Engineering. Her research spans quantum control, atom interferometry, and quantum technology education, with a focus on robust control techniques in optical lattices and spin networks. Principal Investigator for Quantum Positioning, Navigation, and Timing Hub (2024-2029) Lead on EPSRC-funded project EP/Y004728/1 for trapped ultracold atom interferometry (2023-2025) Her recent work includes energy landscape shaping for quantum systems, deterministic generation of squeezed states, and innovative educational tools like the Quantum Composer. Publications analyze robustness metrics, control algorithms, and quantum-classical system comparisons. Collaborations span international institutions in quantum physics and engineering domains. She contributes to quantum outreach through gamification and interactive platforms, targeting improved education and community inclusivity. Current research trends emphasize precision measurement, error mitigation, and AI integration in quantum control systems.
Dr. Lin Jiang serves as Assistant Professor in the Department of Mechanical Engineering at San José State University's Charles W. Davidson College of Engineering, where her research bridges biomechanics and robotics to develop medical assistive technologies and human-robot interaction systems. Her educational background includes a Ph.D. and M.Sc. in Mechanical Engineering from the University of Texas at Dallas (2021, 2019), complemented by an M.Sc. in Control Engineering and B.Sc. in Aerospace Engineering from Nanjing University of Aeronautics & Astronautics (2014, 2011) with a minor in Industrial Business Management. Dr. Jiang's research focuses on translating aerospace control systems expertise into medical applications, particularly in rehabilitation robotics and breastfeeding technology. Her work emphasizes human-centered design for devices like the patented SmartLact8 breast pump, with recent publications demonstrating significant contributions to teleoperated rehabilitation systems and lactation biomechanics. Her 15 most recent publications (2020-2025) reveal consistent specialization in medical robotics, with dominant themes in rehabilitation devices (knee braces, upper extremity therapy), breastfeeding technology innovation, and human-robot interaction frameworks for healthcare and driving safety applications. Scientific recognition includes: New Investigator Award from CSUPERB Small Group Project Award from SJSU College of Engineering Exemplary Teaching award from UT Dallas Diversity Award from Summer Biomechanics Conference Best Paper award at ASME IMECE 2018 Research funding includes NSF support for hospital-based human-robot interaction studies. Dr. Jiang actively contributes to IEEE HKN, BMES, ASME, and ISHRML while mentoring students through her Biomechanics and Robotics Lab at SJSU. The Biomechanics and Robotics Lab serves as the primary research hub for developing medical assistive technologies, with current projects focusing on rehabilitation robotics, breastfeeding simulation systems, and human-robot interaction protocols for clinical environments.
Nicole Deziel is an Associate Professor of Epidemiology in the Department of Environmental Health Sciences at the Yale School of Public Health. She also holds secondary appointments as Associate Professor in Chemical and Environmental Engineering and the School of the Environment. Dr. Deziel serves as Co-Director of the Yale Center for Perinatal, Pediatric and Environmental Epidemiology (CPPEE) and leads the Deziel Exposure Science Lab. Dr. Deziel earned her PhD and Master's of Health Science (MHS) in Environmental Health from the Johns Hopkins Bloomberg School of Public Health in 2008 and 2000, respectively. Her academic journey has positioned her as a leading researcher in environmental exposure science and epidemiology. Dr. Deziel's research focuses on applying statistical models, biomonitoring techniques, and environmental measurements to provide comprehensive assessments of exposure to traditional and emerging environmental contaminants in population-based studies. Her work primarily investigates two critical areas: (1) exposure and human health impacts of unconventional oil and gas development ("hydraulic fracturing") and (2) residential exposure to chemicals in common consumer products (e.g., pesticides, flame retardants) and cancer risk, particularly thyroid cancer. She integrates environmental justice considerations into her research, examining disproportionate burdens of exposures and the combination of environmental and social stressors. Her research uses a combination of large administrative datasets and detailed community-focused studies to advance understanding of environmental exposures to chemicals, particularly carcinogens and endocrine disruptors. Her recent publications demonstrate a strong focus on perinatal and pediatric environmental health, with significant work on air pollution impacts on childhood cancer, PFAS exposures and child development, and environmental justice issues related to superfund sites and oil and gas development. The research shows consistent methodological rigor, often employing sophisticated spatial analysis and exposure assessment techniques to address complex environmental health questions. Dr. Deziel has received notable recognition for her work, including: Yale Cancer Center Population Science Research Prize (2020) Joan M. Daisey Outstanding Young Exposure Scientist Award from the International Society of Exposure Science (2018) As Co-Director of the Center for Perinatal, Pediatric and Environmental Epidemiology, Dr. Deziel leads interdisciplinary research efforts examining how environmental exposures affect child health outcomes. Her lab conducts fieldwork and analysis on environmental effects on drinking water, hydraulic fracturing impacts, and the relationship between flame retardants and cancer risk. She collaborates extensively with researchers across Yale, particularly with Dr. Xiaomei Ma (18 joint publications), Dr. Joshua Warren (12 joint publications), and other experts in biostatistics, environmental health, and cancer epidemiology.
Associate Professor with Habilitation at the School of Engineering, University of Minho , where he also serves as a Senior Researcher at Centro ALGORITMI. Member of both the IEM R&D Group and LPSL R&D Lab. Education: Degree in Production Engineering (1989) - University of Minho MSc in Computer Integrated Manufacturing (1992) - Loughborough University Ph.D. in Scheduling and Process Planning Integration (1997) - University of Nottingham His research spans Lean Approaches across diverse environments including industry, healthcare, construction, offices, and education. Key focus areas include pull flow methods for complex production environments, stable continuous improvement systems , and the integration of Scrum methodology in educational settings. Recent publications show a clear trend toward applying lean principles in retail logistics, healthcare operations, and sustainability frameworks, with increasing emphasis on performance measurement systems and Science-Based Targets. He has authored the book "Continuous Improvement in Organizations" and published over 100 scientific articles with an h-index of 17 and 1131 citations. His current projects include "HOMLean - Hospital Operations Management" and a Smart Retail initiative with Sonae company funded by PRR program. He actively applies his expertise through project-based learning approaches in engineering education, having documented over ten years of experience with PBL at the University of Minho. His work bridges academic research with practical industry applications, particularly in lean manufacturing implementation across various sectors.
Jonathan Grasman serves as Assistant Professor in Biomedical Engineering at New Jersey Institute of Technology (NJIT), specializing in tissue engineering for skeletal muscle and peripheral nerve regeneration through advanced biomaterial design. His academic credentials include: Ph.D. in Biomedical Engineering from Worcester Polytechnic Institute (2015) B.S. in Bioengineering from University of Pittsburgh (2008) with high honors Dr. Grasman's research pioneers tunable biomaterial scaffolds for muscle-nerve interface engineering , focusing on fibrin microthreads, collagen sponges, and silk-based systems. His work integrates biomechanical cues with biochemical signaling to direct cellular behavior in regeneration contexts, particularly addressing volumetric muscle loss and peripheral nerve injuries through vascularization and innervation studies. Analysis of his 2019-2025 publications reveals escalating sophistication in multi-tissue models, with 70% of recent work combining skeletal muscle regeneration with neurovascular components. Key methodological trends include precision pore-size engineering in collagen scaffolds, NSAID-enhanced nerve regeneration, and AI-driven tissue analysis. His scientific recognition includes: NIH NRSA Predoctoral Fellowship NIH NRSA Postdoctoral Fellowship Dr. Grasman leads the Tissue Engineering and Integrative Muscle Mechanics (TIMM) laboratory at NJIT, where his team develops in vitro contractility indicators and vascularized nerve guidance systems. Current research focuses on translating scaffold technologies toward preclinical trauma models while mentoring graduate students in biomaterials characterization and tissue morphogenesis.
Daniel Liberzon , the Richard T. Cheng Professor in the Department of Electrical and Computer Engineering at the University of Illinois Urbana-Champaign , is a leading expert in theoretical and applied control systems. He also serves as a professor at the Coordinated Science Laboratory and an affiliate professor in the Department of Mathematics . Ph.D. in Mathematics, Brandeis University (1998) Undergraduate, Mathematics, Moscow State University (1989-1993) His research spans foundational and applied aspects of nonlinear control theory , switched/hybrid systems , and control under limited information . Applications include networked control, power systems synchronization, and robotic coordination. Recent work focuses on topological entropy, almost Lyapunov functions, and robust observer design. Key article trends include: Entropy analysis for interconnected nonlinear systems Stability criteria under switching and disturbances Observer robustness via ISS and qDES frameworks Model reduction techniques for power systems Scientific awards include: 2019 ACM SIGBED HSCC Best Paper Award 2016 IFAC Fellow 2013 IEEE Fellow 2007 AACC Donald P. Eckman Award 2007 UIUC CoE Xerox Award 2002 IFAC Young Author Prize 2002 NSF CAREER Award Liberzon has supervised numerous sponsored projects funded by NSF and AFOSR. He teaches advanced courses in nonlinear control, optimal control, and hybrid systems, appearing on the UIUC List of Teachers Ranked as Excellent multiple times.
Håkan Johansson is a Professor in the Dynamics division of the Department of Mechanics and Maritime Sciences at Chalmers University of Technology. His research focuses on computational methods to analyze controlled mechanical systems, with applications in wind turbines, heavy vehicle drivelines, and wave propagation in soft biological tissues. Professor Johansson's primary research interests include computational mechanics, wind turbine dynamics, railway system dynamics, biomechanics, condition monitoring systems, optimization methods, and structural dynamics. His work bridges theoretical computational methods with practical engineering applications across multiple domains, particularly in renewable energy systems and transportation infrastructure. Analysis of his publication record reveals a strong focus on computational modeling applied to real-world engineering problems. His recent work demonstrates significant contributions to wind turbine technology, railway infrastructure monitoring, and biomechanical modeling. The publications show a consistent pattern of applying advanced computational techniques to solve complex mechanical system challenges, with increasing emphasis on digital twin technology and model-based condition monitoring systems. Professor Johansson leads or participates in multiple research projects including 'Towards Digital Twins of the Human Body for Personalized Safety' (2025-2026), 'AI-Driven Constrained Optimal Control for Bi-manual Loco-Manipulation' (2024-2029), and 'A Digital Twin for Durability to Accelerate Development and Enable Predictive Maintenance' (2024-2027). His research has received funding from various sources including VINNOVA, Wallenberg AI program, and Swedish Wind Power Technology Center. His research group focuses on computational methods for mechanical systems with applications across multiple domains. The work involves developing advanced computational models, validation through experimental data, and implementation in real-world monitoring and optimization systems. Current efforts emphasize digital twin frameworks and model-based condition monitoring for various engineering systems.
Nikola Vangelov serves as Associate Professor in the Department of Communication, Public Relations and Advertising at Sofia University, where his academic work centers on the intersection of advertising theory, digital innovation, and historical communication practices. His research particularly examines technological applications in advertising within smart city environments and social media ecosystems. His scholarly focus spans digital advertising methodologies, influencer marketing dynamics, political communication frameworks, and the historical evolution of advertising in Bulgaria. Key contributions include analyses of AI-driven out-of-home advertising, metaverse marketing strategies, and socialist-era propaganda techniques. His interdisciplinary approach bridges traditional advertising principles with emerging digital paradigms, emphasizing consumer engagement in technologically advanced urban contexts. Analysis of his 2022-2025 publications reveals a pronounced shift toward AI integration in digital out-of-home advertising, with significant contributions to understanding influencer marketing in book publishing and historical political communication in socialist Bulgaria. His work consistently demonstrates methodological rigor through critical reviews, historical analyses, and empirical studies of contemporary advertising phenomena, establishing him as a leading voice in Balkan advertising research.
Kiyoshi Ono is a Professor at Waseda University's School of Creative Science and Engineering, Faculty of Science and Engineering, specializing in structural and earthquake engineering. He holds a Doctor of Engineering degree from Osaka University and has been actively contributing to academia since at least 2007, following his tenure as Associate Professor at Osaka University Graduate School of Engineering (2002-2007). His academic journey demonstrates a consistent focus on advancing structural engineering knowledge with practical applications for infrastructure resilience. Professor Ono's research interests center around structure engineering and earthquake engineering, with particular expertise in steel structures, bridge engineering, and high-performance steel materials. His work explores the seismic performance of steel structures, innovative bridge design methods, and the application of high-strength steel materials (particularly SBHS series) to improve structural safety and durability. He investigates how material properties affect structural behavior under seismic loads, developing evaluation methods that balance safety with economic considerations. His publication record shows a consistent research trajectory with 41 papers, 123 citations, and an h-index of 4 according to Scopus. The most recent publications (2015-2024) demonstrate his ongoing commitment to advancing knowledge in steel structure performance, particularly focusing on high-performance steel materials and their application in seismic-resistant design. His research spans fundamental material properties investigations to practical structural applications, showing a comprehensive approach from microscopic material behavior to macroscopic structural performance. Scientific Awards: New Road Technology 5-Year Plan Award (2003) Professor Ono actively contributes to academic knowledge dissemination through numerous publications, presentations, and his role in developing industry standards. His work on the 'Steel and Composite Structure Standard Specifications' and 'Buckling Design Guidelines' demonstrates his influence on engineering practice. He serves on committees including the Japan Society of Civil Engineers Kansai Branch (as General Affairs and Accounting Committee Member since 2010) and the Performance-Based Seismic Design Committee for Bridges. His professional memberships include the Japan Society of Civil Engineers Kansai Branch, Japanese Society of Steel Construction, and Japan Society of Civil Engineers, reflecting his active engagement with the engineering community. His research projects consistently address practical challenges in bridge engineering while advancing theoretical understanding of structural behavior under extreme loading conditions.
Chris Malley is a Senior Research Fellow at the Stockholm Environment Institute (SEI) at the University of York, affiliated with the Environment and Geography department. His work bridges atmospheric science, public health, and climate policy with a focus on real-world implementation in developing economies. His research centers on air pollution-climate interactions, specializing in short-lived climate pollutants (SLCPs) like black carbon and methane. He develops integrated assessment tools (notably LEAP-IBC) to quantify health and climate co-benefits of mitigation policies across Southeast Asia, Africa, and Latin America. Key areas include household energy transitions, agricultural emissions, urban air quality planning, and national policy development for countries including Thailand, Nigeria, Colombia, and Mongolia. His approach combines high-resolution emissions modeling, health impact assessment, and policy feasibility analysis to support evidence-based decision-making. Recent publications reveal a methodological trend toward integrated air pollution-climate modeling with increasing emphasis on subnational implementation barriers, demographic factors in health burden projections, and economic feasibility of clean energy transitions. His work consistently targets policy-relevant outputs for national governments and international bodies. Malley actively contributes to major research initiatives including ‘Supporting action and planning to reduce short-lived climate pollutants in Bogotá’ and the EU-funded ‘FOCI: non-CO₂ climate pollutants’ project. His grant portfolio demonstrates strong partnerships with international organizations like the European Commission and UN agencies, focusing on translating scientific analysis into actionable national planning documents. As a core member of SEI York, he collaborates within an interdisciplinary team specializing in energy systems analysis, atmospheric chemistry, and sustainable development policy. The institute provides the methodological framework for his integrated assessment work while connecting scientific outputs to global policy processes like the Climate and Clean Air Coalition.
Prof. Dr. Kathleen Stürmer is a faculty member at the University of Tübingen, affiliated with the Tübingen School of Education (TüSE) and the Hector Institute for Empirical Educational Research . As Deputy Director of TüSE for Internationalization since 2021, she leads initiatives to enhance global collaboration in teacher education. Research Focus: Teacher professional vision, simulation-based learning environments, diagnostic competence development, and technology integration in classrooms. Methodologies: Eye-tracking studies, meta-analytic reviews, and longitudinal analyses of teacher training efficacy. Key Projects: Observer (video-based diagnostic tool), Di-MaL (simulation framework for pedagogical diagnostics), and quality initiatives in digital distance teaching during the pandemic. Her recent publications highlight trends in educational technology (AI, tablets), teacher cognition (professional vision, attention processes), and structural innovations in teacher education programs. She actively develops standardized instruments for measuring pedagogical expertise and explores the impact of individual and contextual factors on instructional quality. Labs & Teams: She collaborates with the Hector Institute for Empirical Educational Research and leads internationalization efforts at TüSE, focusing on interdisciplinary frameworks for diagnostic competence across professions like teaching and medicine.
Alex Enrich Prast is a Professor in Theme Environmental Change at Linköping University (LiU), Sweden, with a research focus on biogeochemistry, particularly in Amazon forest ecosystems and biogas production. His work bridges environmental science with practical applications for climate change mitigation and sustainable resource management. Dr. Prast's research interests center on biogeochemical cycles in tropical ecosystems, with special emphasis on methane emissions from Amazonian forests, nitrogen transformations in soil, and biogas production technologies. His work has revealed significant insights into how trees in the Amazon contribute to methane emissions and carbon cycling, challenging previous assumptions about forest-atmosphere interactions. He investigates the role of different management strategies on gas emissions and ecosystem services in the Amazon region, working in collaboration with communities in the Mamirauá reserve in Brazil. His recent publications (2024-2025) demonstrate a strong focus on Amazon forest ecology, methane dynamics, and biogas technologies. These works reveal patterns in nitrogen transformations across Amazon forests, identify significant methane emissions from Amazonian trees that rival global oceanic emissions, and explore innovative approaches to enhance biogas production from various feedstocks. His research shows an interdisciplinary approach combining field measurements, laboratory analyses, and modeling to address complex environmental challenges. Dr. Prast is actively involved in two major research initiatives: the Sustainable Management of Amazon Forests project, which examines how different management strategies affect gas emissions and ecosystem assimilation in the Amazon region, and the Biogas Solutions Research Center (BSRC), a national competence center administered by Linköping University that develops innovative and resource-efficient biogas solutions with positive environmental and economic impacts.
Vinh Nguyen is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Michigan Technological University, where he directs the Michigan Tech Center for AI and coordinates the NIST-PREP program. His research focuses on advanced manufacturing through Industry 4.0, human-robot-machine interaction, and physics-based/data-driven modeling. He has developed solutions for machining, additive manufacturing, metal forming, and robotic assembly to promote smart and sustainable manufacturing. Prior to joining Michigan Tech in 2022, he was a National Research Council Postdoctoral Fellow at NIST (2020–2022). Dr. Nguyen earned his PhD (2020), MS in Mechanical Engineering (2017), and MS in Electrical & Computer Engineering (2017) from Georgia Institute of Technology. He received dual bachelor’s degrees in Electrical and Mechanical Engineering from Rensselaer Polytechnic Institute (2014). His research portfolio spans Advanced Manufacturing Industry 4.0 and 5.0 Human-Robot Interaction Physics-Based/Data-Driven Modeling Industrial Automation based on his lab’s interdisciplinary focus on human-centric, resilient solutions. His recent publications address trends in Machine Learning for Manufacturing Autonomous Vehicle Sensors Hybrid Additive/Subtractive Manufacturing Augmented/Mixed Reality Interfaces Industrial Robot Diagnostics Material-Specific Machining with keywords spanning Robotics, Data Science, and Industrial Engineering.
