Vasilis Valdramidis is an Associate Professor of Food Chemistry at the Department of Chemistry, National and Kapodistrian University of Athens. His research focuses on food safety, sustainable technologies, and the impact of climate change on microbial dynamics in food systems. Affiliation: Department of Chemistry, National and Kapodistrian University of Athens Research Areas: Food chemistry, microbial inactivation, predictive modeling, climate change adaptation Valdramidis utilizes advanced technologies like high-power ultrasound, hydrodynamic cavitation, and cold atmospheric plasma to enhance food preservation while minimizing environmental impact. His work addresses critical challenges in microbial safety, including pathogen adaptation mechanisms and stress response. Recent publications highlight his leadership in quantitative microbial risk assessment (Q4MRA), life cycle analysis of non-thermal technologies, and climate change interactions with dairy safety. He explores astaxanthin stability in food matrices and ultrasonic decontamination efficacy. Key trends in his research include: (1) Non-thermal processing for food safety, (2) Climate change-induced microbial risks, (3) Data-driven modeling for spoilage prediction, and (4) Sustainable innovation in dairy and seafood preservation.
Rodolfo Metulini is a Researcher (RTD-B) in Statistics for Experimental and Technological Research (SECS-S/02) at the Department of Economics, University of Bergamo. He serves as Principal Investigator for the PRIN/PNRR project 'SIGNUM: Study of mobile phone signals for evaluating mobility-environment interconnections in Lombardy'. His career includes postdoctoral positions at the University of Brescia, Scuola Superiore Sant'Anna Pisa, and IMT Lucca. PhD in Statistical Methodology for Scientific Research (2013), University of Bologna Former Researcher at University of Salerno (RTD-A) Metulini's research spans three primary domains: travel flow analysis using gravity models and spatial interaction approaches for international trade studies; sports analytics focusing on player movement dynamics and marginal utility in football/basketball; and urban mobility modeling through mobile phone data with complex seasonality time series models. His methodological innovations combine matrix completion techniques with functional data clustering for environmental-socioeconomic applications. Recent research trends demonstrate cross-sectoral expertise in applying statistical learning to diverse domains: 1) environmental risk assessment using mobile network data for flood exposure forecasting; 2) urban policy analysis through counterfactual modeling of traffic restrictions; and 3) economic modeling for CO2 emissions prediction. His technical approach integrates dynamic harmonic regression with VARX models for mobility forecasting. As thesis advisor for Computer/Mechanical Engineering students, Metulini promotes data-driven approaches in mobility and sports domains. His publications in journals like Annals of Operations Research and Optimization Letters showcase interdisciplinary methodology combining statistical theory with practical applications in environmental risk management and sports performance analysis.
Christoph Reuter is a Professor in the Department of Musicology at the University of Vienna. His work spans systematic musicology, psychoacoustics, and crossmodal perception, with a focus on auditory cognition, timbre analysis, and sound-environment interactions. As Director of Studies for Musicology and Linguistics, he oversees academic programs and teaches courses ranging from systematic musicology to auditory perception. His research explores the intersection of music, technology, and human perception. Key themes include crossmodal associations (e.g., sound-color mappings), acoustical analysis of natural and synthetic sounds, and auditory environments in healthcare and education. He has developed VR tools like the Incubator Experience and SOFA Native Spatializer Plugin to advance immersive audio research. The 15 most recent articles highlight his expertise in timbre studies, crossmodal perception, and medical/environmental acoustics. Topics range from the neuroscience of chord progressions to the psychoacoustic impact of neonatal ventilation sounds and metal music lyrics. His work bridges empirical experimentation with interdisciplinary applications in technology and health. Reuter contributes to musicological education through initiatives like the MediaLab of the Faculty of Philological and Cultural Studies, integrating digital methods into teaching. His collaborations span neurology, engineering, and cultural studies, reflecting a holistic approach to sound research.
Gregory Smith is an Assistant Professor at the UNC School of Medicine, Chapel Hill, focusing on genetic and genomic mechanisms of susceptibility to airborne toxicants and lung diseases like asthma and COPD. His research integrates systems genetics approaches with in vivo inhalation exposure models for pollutants such as ozone. Manages Kelada Lab inhalation exposure facility for ozone and e-cigarette aerosols Active in developing novel respiratory phenotyping capabilities Research Interests include environmental genomics, pulmonary toxicology, and systems biology. His work examines how genetic variation influences responses to air pollutants, with applications in personalized environmental health strategies. Recent Publications highlight ozone's impact on lung biology, extracellular vesicle dynamics, and genetic determinants of airway disease. Key collaborative projects involve the Collaborative Cross mouse genetic reference population for studying gene-environment interactions. Contact: gregory.j.smith@unc.edu | Office: 973-459-8881 | Location: 5070E Genetics Medicine Building, Chapel Hill, NC 27599-7264
Ravi Mural is an Assistant Professor in the Department of Agronomy, Horticulture and Plant Science at South Dakota State University. His research focuses on enhancing sustainable crop production through genomics, quantitative genetics, and breeding, with a current emphasis on sorghum, maize, and cereals. He aims to bridge genotype-phenotype gaps by integrating large-scale biological data including phenomics, genomics, and transcriptomics. Key research areas include unraveling genetic architectures of agronomic traits, investigating genotype-environment interactions, and employing high-throughput phenotyping with sensors and imaging. The Mural Lab collaborates across disciplines (animal science, statistics, computer science) to advance breeding strategies and precision agriculture solutions. Recent work highlights applications of machine learning in crop trait analysis, drought tolerance mechanisms in plants, and scalable IoT systems for agricultural monitoring. The lab’s future plans include expanding research to millets and pulse crops. Advising emphasizes training students in quantitative genetics and big data analytics. Collaborations focus on interdisciplinary projects merging computational methods with field-based crop science.
Dr. Alan W. Chiu serves as Professor and Samuel F. Hulbert Endowed Chair in the Department of Biology & Biomedical Engineering at Rose-Hulman Institute of Technology, where he specializes in neural engineering applications for neurological rehabilitation and assistive technologies. His academic credentials include: PhD in Electrical and Computer Engineering from University of Toronto (2006) MASc in Electrical and Computer Engineering from University of Toronto (2002) BASc in Engineering Science from University of Toronto (2000) Dr. Chiu's research centers on developing neural models and brain-computer interfaces (BCI) to restore functionality for individuals with neurological disabilities. His work integrates oscillator-based neural modeling with real-time BCI systems, focusing on neuroprosthetics and error-correction mechanisms in cognitive tasks. Current projects explore mixed reality environments for prosthetic control and strategies to mitigate sensory distractors in BCI applications. Analysis of his 2021-2024 publications reveals a dual trajectory: advancing BCI robustness through machine learning-enhanced signal processing (particularly in SSVEP and ERP paradigms), while simultaneously innovating biomedical engineering education through interdisciplinary curriculum design. His research consistently bridges theoretical neural modeling with practical assistive device implementation. His primary honor is the Samuel F. Hulbert Endowed Chair. Additional distinctions may exist but are not documented in the source material. Dr. Chiu actively mentors undergraduate researchers as supervisor of year-round and summer projects, building on his prior role as co-director of Rose-Hulman's Independent Project/Research Opportunities Program (IPROP). He contributes to accreditation standards as BMES Commissioner for ABET's Engineering Accreditation Commission, though specific grant funding details remain undisclosed. His research group focuses on translating neural engineering concepts into functional prototypes, with particular emphasis on EEG-based control systems and cognitive error detection frameworks for communication assistance.
Dr. Benjamin Stodt is a postdoctoral researcher at the Leibniz Research Center for Working Environment and Human-Factors (IfADo) in Dortmund, Germany, where he has been working since August 2021. He is part of the Department of Ergonomics, specifically within the Networking Group focused on Aging and Experimental Ergonomics. His contact information includes email stodt@ifado.de and phone number +49 231 1084-376, with his office located at Ardeystr. 67, 44139 Dortmund. Dr. Stodt earned his Doctorate (Dr. rer. nat.) in 2018 from the Faculty of Engineering at the University of Duisburg-Essen. Prior to his current position, he worked as an analyst in market and media research from 2019 to 2021. His academic journey at the University of Duisburg-Essen began as a student assistant in 2010, progressing to research assistant and PhD student from 2013 to 2018. He completed both his Master of Science (2012-2013) and Bachelor of Science (2008-2012) in Applied Cognitive and Media Science from the same institution. Dr. Stodt's research focuses on human-computer interaction, auditory and audio-visual perception, virtual environments, and aging. His work examines how humans perceive spatial auditory information in both real and virtual settings, with particular attention to age-related differences. He combines experimental psychology with ergonomics to investigate spatial hearing, auditory localization, and the development of virtual reality technologies that accurately simulate real-world auditory experiences. His methodology frequently incorporates EEG to examine the neural correlates of auditory perception. His recent publications demonstrate a consistent research trajectory examining auditory perception in virtual versus real environments across multiple dimensions including spatial change detection, azimuth perception, and distance perception. Dr. Stodt's work has important implications for developing more realistic virtual environments, assistive technologies for aging populations, and understanding age-related changes in sensory processing. His research spans neuroscience, cognitive psychology, virtual reality, and human factors engineering. Dr. Stodt has published in reputable journals such as the European Journal of Neuroscience and Biomedicines, and presented at major acoustics conferences including DAGA (Annual Conference on Acoustics) and AUDICTIVE. His collaborative work frequently involves researchers including D. Neudek, R. Martin, E. Wascher, and S. Getzmann. At IfADo, Dr. Stodt works under the leadership of Prof. Dr. Edmund Wascher (Head of Department) and collaborates with the department's secretariat managed by Judith Geiger. His research contributes to the institute's mission of studying the working environment and human factors, with potential applications in workplace design, assistive technologies, and understanding age-related changes in sensory and cognitive processing.
John P. McGann is a Professor of Behavioral & Systems Neuroscience in the Psychology Department at Rutgers, The State University of New Jersey, with additional appointments in Cognitive Science and Otolaryngology. He directs the McGann Laboratory on the Neurobiology of Sensory Cognition, where his research focuses on understanding how the brain processes olfactory information through advanced imaging techniques and behavioral assessments. Dr. McGann received his B.A. and M.S. in Psychology from Yale University in 1998, followed by a PhD in Neuroscience from Yale in 2003. His educational background established the foundation for his interdisciplinary approach to sensory neuroscience. His research centers on the concept of 'sensory cognition' - how the brain uses learned information to anticipate and prioritize incoming sensory stimuli. The McGann Lab primarily uses the mouse olfactory system as a model to investigate neural representations of odors, neural processing of odor signals, behavioral assessment of olfactory perceptions, and the effects of neurotoxicants like cadmium and manganese on the olfactory system. Their work has revealed that sensory brain regions don't merely respond to stimuli but actively anticipate and prioritize based on experience and significance. Analysis of Dr. McGann's recent publications shows a clear progression from fundamental investigations of olfactory neural coding toward understanding how experience, learning, and emotional states modulate sensory processing. His work increasingly explores the intersection of sensory neuroscience with emotional processing, particularly how fear learning enhances neural responses to threat-predictive odors. The lab has also made significant contributions to debunking the myth of poor human olfaction and demonstrating sex differences in olfactory processing. Award for Distinguished Contributions to Undergraduate Education at Rutgers (2012) Dr. McGann has mentored numerous graduate students and postdoctoral researchers who have gone on to successful careers in academia and industry. His lab has received generous funding for research on sensory neuroscience and neurotoxicology, with particular emphasis on understanding how environmental toxins affect the uniquely vulnerable olfactory system. The McGann Lab maintains active collaborations with Rutgers' Center for Sensory Sciences & Innovation and participates in the annual Flavor and Fragrance Symposium. The McGann Laboratory operates state-of-the-art imaging facilities that allow researchers to observe neural activity in living, breathing mice as they process odors. The lab has developed specialized equipment including fluorescence imaging rigs, two-photon microscopy systems, and custom gas delivery systems for odor presentation. The research team combines molecular, cellular, systems, and behavioral approaches to understand the complete pathway from sensory input to perceptual experience.
Deborah Waber, PhD is Professor of Psychiatry at Harvard Medical School and serves as Director of the Learning Disabilities Program in the Department of Neurology and Director of the Behavioral Science Core at the Translational Neuroscience Center at Boston Children's Hospital. Her work spans clinical practice, research, and academic leadership in pediatric neuropsychology and developmental disorders. Dr. Waber received her undergraduate degree in Psychology from the University of Pennsylvania in 1970, followed by a PhD in Developmental Psychology from Yale University in 1974. She completed her post-doctoral training at Boston Children's Hospital in 1974, where she subsequently joined the staff. Dr. Waber's research investigates the influence of endogenous and exogenous factors on children's cognitive and behavioral functioning within a developmental context. Her primary research interests include normative brain and behavioral development, developmentally based disabilities (particularly learning disabilities), and pediatric conditions that affect brain development. She approaches learning disabilities through a 'whole child' perspective, viewing them as variants of normal development where problems arise when community and school expectations don't align with a child's profile of strengths and weaknesses. Analysis of Dr. Waber's recent publications reveals a consistent focus on neurobehavioral aspects of learning disabilities, the impact of childhood cancer and other medical conditions on neurodevelopment, and the long-term and intergenerational effects of infant malnutrition. Her work frequently employs longitudinal designs and integrates multiple methodologies including neuropsychological assessment, neuroimaging, and behavioral observation. A significant portion of her research examines executive function, visual processing in learning disorders, and quality of life outcomes for children with learning disabilities. Dr. Waber has directed the Learning Disabilities Program at Boston Children's Hospital since 2011 and was promoted to Professor at Harvard Medical School in 2013. She has received grant support from major federal agencies including NIMH, NINDS, and NICHD throughout her career. Her clinical work focuses on improving the fit between children's cognitive profiles and educational environments. Dr. Waber leads the Behavioral Science Core in the Clinical Research Center and co-directs the Neurobehavior Core in the Translational Neuroscience Center. Her team conducts research on various aspects of pediatric neuropsychology, including the effects of medical treatments on cognitive development, assessment methodologies for learning disorders, and interventions to improve educational outcomes for children with learning disabilities.
Giorgio Alberti is a Full Professor at the University of Udine , Department of Agri-Food, Environmental and Animal Sciences. His research focuses on forest ecology, carbon sequestration, remote sensing applications, climate change impacts on tree species, and ecosystem services. He leads projects like CarboMark and contributes to Horizon Europe initiatives. Key Research Areas Forest carbon dynamics and biodiversity conservation Integration of field measurements with remote sensing Climate change adaptation in agricultural and forest systems Ecosystem service trade-offs in protected areas His recent work involves machine learning for forest carbon estimation, ecohydrological studies in vineyards, and global biodiversity assessments. He actively participates in international collaborations, including the LATEST Erasmus+ project and Dinaric Alps old-growth forest research. Project Involvement PRI. FOR. MAN Dashboard for wood resource mapping Horizon Europe Project 101081177 on carbon-biodiversity datasets Post-windstorm forest regeneration studies in the Alps Governance of Natura 2000 protected areas
Andrea Cripps, Ph.D., ATC, is an Associate Professor and Coordinator of the Master's of Athletic Training program at Bowling Green State University (BGSU), part of the College of Education & Human Development's School of Applied Human Development. She holds a B.S. from Lake Superior State University, an M.A. from Central Michigan University, and a Ph.D. from the University of Kentucky. Her research focuses on sensory system impairments (visual, vestibular, somatosensory) post-concussion and their effects on balance, as well as educational declines following sports-related concussions. She teaches courses including Pathology & Evaluation of Orthopedic Injuries, Therapeutic Modalities, and BOC preparation. Her work spans athletic training education, injury prevention, and neurorehabilitation. Notable areas include concussion management, biomechanical analysis of movement, and the application of therapeutic modalities. Her research also addresses tactical population fitness, standardized patient training, and exercise protocols for athletes with chronic conditions like IBD. Dr. Cripps has collaborated on studies involving technological tools like the FitLight Trainer™ and the Head Shake Sensory Organization Test (HS-SOT), emphasizing reliability and clinical application. She explores interdisciplinary approaches to sports medicine, emphasizing both clinical practice and athlete well-being.
Dr. Enda Bates is an Assistant Professor and Deputy Course Director in the Music and Media Technologies Programme at Trinity College Dublin. He leads research in spatial music, spatial audio for VR, and electroacoustic aesthetics while maintaining active roles as a composer, producer, and performer. His work bridges academic and artistic domains, with notable contributions to immersive media, accessibility in health data design, and interdisciplinary digital humanities projects. Educated at Trinity College Dublin, he completed a PhD titled *The Composition & Performance of Spatial Music* in 2010. His research has been supported by grants from Trinity College Dublin and Rode Microphones, focusing on projects like the Trinity 360 initiative producing immersive 360-degree music videos. He collaborates widely, including with the Spatial Music Collective and on virtual reality adaptations of Samuel Beckett’s works. Research interests span spatial audio technologies, VR audio design, and the aesthetics of contemporary electroacoustic music. He explores the intersection of sound and technology in performance contexts, such as augmented instruments and site-specific compositions. His work on accessibility includes evaluating health data representations for older adults, emphasizing user-centric design principles. Recent publications highlight advancements in ambisonic decoder methodologies, VR audio systems, and interdisciplinary arts. Awards include the Gaudeamus Music Prize shortlist (2009) and Música Viva Competition Prize (2010). His music has been performed globally by ensembles like the RTÉ National Symphony Orchestra and Crash Ensemble. Bates advises on audio engineering projects and leads collaborative initiatives like *Virtual Play, after Samuel Beckett*, merging theater, VR, and sound design. His lab’s work often explores the technical and creative potentials of 360 media and free-viewpoint video.
Prof. Dr. Heike Trautmann is a leading researcher in statistics and optimization at the University of Twente (2021-2026) and former Professor at WWU Münster (2013-2016). Her work bridges computational statistics, evolutionary optimization, and social media analytics. She has held visiting positions at TU Dortmund, Leiden University, and RWTH Aachen. Current affiliation: University of Twente (Data Science: Statistics and Optimization) Previous roles: WWU Münster (Professor for Information Systems and Statistics), TU Dortmund (Postdoctoral researcher) Research Focus: Multi-criteria optimization, automated algorithm selection, data stream mining, and disinformation detection in social media. Her methodological innovations in exploratory landscape analysis and evolutionary computation have transformed algorithm configuration practices. Developed COSEAL consortium for algorithm selection Co-founder of Benchmarking Network (2019) Principal investigator in projects like PropStop and MODERAT! Academic Contributions: Over 150 publications in top venues like GECCO, PPSN, and Evolutionary Computation journal. Pioneered feature-based landscape analysis tools (flacco, pflacco) and stream clustering frameworks.
Gabriele Santin is a Researcher at Ca' Foscari University of Venice's Department of Environmental Sciences, Computer Science and Statistics. He holds a PhD in Computational Mathematics from the University of Padua and has held postdoctoral positions at the University of Stuttgart and the Bruno Kessler Foundation. His research focuses on kernel-based approximation methods, numerical analysis, and applications in scientific computing, including partial differential equations and biomedical engineering. Research interests include kernel interpolation, greedy algorithms, convergence analysis, and data-driven modeling. He has contributed to advancing numerical techniques for solving PDEs, optimizing kernel methods, and analyzing stability in non-Lipschitz domains. His work bridges theoretical foundations with practical applications in fields like medical imaging, transportation systems, and epidemic modeling. Publications highlight contributions to kernel-based greedy algorithms, image interpolation, and surrogate modeling. He is affiliated with the Research Institute for Complexity and actively collaborates with institutions like SimTech (University of Stuttgart). His expertise spans numerical methods, machine learning, and interdisciplinary problem-solving.
