Prof. Dr. Tanja Pommerening is a leading scholar at the Institute for the History of Pharmacy and Medicine, Philipps University of Marburg. With a unique interdisciplinary background bridging Egyptology, Pharmaceutical Sciences, and Cultural History, she holds a W3 Professorship since 2020 and has made significant contributions across multiple academic domains. Universitätsprofessorin für Geschichte der Pharmazie und Medizin (2020–Present) Initiatorin des DFG-GRK 1876 (2013–2020) Sprecherin des Marburger Gespräche zur Alten Heilkunde (2020–Present) Her research focuses on the intersection of ancient scientific texts , medical practices , and cultural knowledge systems in Egypt and the ancient Near East. She has pioneered work on: Archaeometry of funerary substances Transdisciplinary analysis of medical metrology Decolonization of academic collections Comparative pharmacology across Egyptian and Chinese traditions Recent publications reveal her expertise in mummification practices , ancient metrology , and knowledge transmission through edited volumes on bodily concepts (2025), cosmos-body connections (2024), and knowledge systems (2019). Her work appears in journals like PLoS ONE and Zeitschrift für Phytotherapie . Scientific recognition includes: Dalberg Prize (2005) Jerry Stannard Memorial Award (2005) Académie internationale d’histoire de la pharmacie (2022) Active in editorial roles as Area Editor for the UCLA Encyclopedia of Egyptology and co-editor of multiple academic series, she continues to shape the field through her leadership in projects like AESOH (2023–2027) and ArchaeoScent (2023–2025).
Dr. Richard Becker is a Professor in the Department of Environmental Sciences at the University of Toledo , affiliated with the College of Natural Sciences and Mathematics . He directs the Environmental Remote Sensing Lab , where he employs interdisciplinary methods including remote sensing, geochemistry, hydrologic modeling, and UAV technologies to address geological and environmental challenges. Education: Ph.D. (2008) from Western Michigan University, M.A. and B.A. from Washington University Contact: richard.becker@utoledo.edu | 419.530.4571 | Wolfe Hall, Toledo, OH Research Focus Dr. Becker's work spans three decades, concentrating on: Environmental applications of remote sensing and GIS for geohazard mapping Assessment of land subsidence in arid regions and coastal areas Monitoring toxic algal blooms in the Laurentian Great Lakes Hydrological impacts of engineering projects on wetland systems Climate change effects on groundwater resources in Africa and the Middle East Article Trends His recent publications (2018-2024) demonstrate a consistent focus on: Integration of UAV/drone technologies for high-resolution environmental monitoring Application of remote sensing to track climate change impacts on water systems Development of multi-model ensembles for watershed management Analysis of human-environment interactions through geospatial methods
Evgeny Aleksandrovich Vaganov is a distinguished academic serving as the scientific director of Siberian Federal University (SFU) and a member of both the Academic Council of SFU and the Scientific and Technical Council. As an Academician of the Russian Academy of Sciences, he holds one of the highest scholarly honors in Russia. His primary research address is at Akademgorodok, 50A, building 2, office 511 in Krasnoyarsk. Dr. Vaganov earned his education at Krasnoyarsk State University, specializing in Biophysics in 1971. His academic journey has led him to become a leading expert in dendrochronology and environmental science. Vaganov's research focuses on the analysis of tree rings as indicators of climate change and environmental conditions, with significant contributions to ecological modeling. His work bridges the gap between traditional dendrochronology and modern climate science, developing innovative methods to extract climate signals from wood anatomy. He has pioneered approaches in quantitative wood anatomy and developed models like VS-Cambium-Developer to understand cambium functioning under environmental stress. His extensive publication record demonstrates a clear progression from traditional tree-ring width analysis to more sophisticated dendroanatomical and dendrochemical approaches. Recent work emphasizes high-resolution analysis of wood cells, soil carbon dynamics, and the development of process-based models that connect daily meteorological conditions with tree growth patterns. His research spans multiple Siberian ecosystems, from the Western Sayan Mountains to Central Siberian forests. Diploma "Golden Badge of Public Recognition" (Russia) Laureate of the Alexander von Humboldt Foundation Prize (Germany) Laureate of the V. N. Sukachev Prize of the Presidium of the Russian Academy of Sciences Honorary badge "Silver Sigma" for many years of creative work Medal of the Order "For Merit to the Fatherland", 2nd degree Order of Friendship Honorary citizen of Krasnoyarsk As scientific director of SFU, Vaganov oversees significant research initiatives, particularly those related to forest-climate interactions and carbon cycling. His work on Russian forests' contribution to climate change mitigation has informed national policy discussions related to the Paris Climate Agreement. He has led major projects examining the carbon budget of Siberian forests and the role of Russian forests in global carbon cycling. Vaganov's research group operates within Siberian Federal University's extensive research infrastructure, conducting field studies across Siberia's diverse forest ecosystems. His team utilizes advanced laboratory techniques for wood anatomy analysis and maintains long-term ecological monitoring sites throughout the region. Current work focuses on developing high-resolution climate proxies from wood anatomy and understanding forest responses to increasing climate variability.
Alexandros Poulopoulos, PhD, serves as Associate Professor in the Department of Pharmacology & Physiology at the University of Maryland School of Medicine. His research integrates synthetic biology with developmental neuroscience to pioneer molecular therapeutics for neurogenetic disorders through advanced CRISPR-based genome editing technologies. Education: BSc in Biology, University of Athens, Greece (2003) PhD in Neuroscience, University of Göttingen, Germany (2008) Postdoctoral Fellow, Max Planck Institute for Experimental Medicine (2009) Postdoctoral Fellow (EMBO fellow), Massachusetts General Hospital (2012) Postdoctoral Fellow (HFSP fellow) and Research Associate, Harvard University (2016) Dr. Poulopoulos' research focuses on cortical development, synaptogenesis, and neurogenetic disease mechanisms. His lab develops precision CRISPR agents like Cas9-RC for in vivo somatic genome editing, targeting conditions including epilepsy, autism, schizophrenia, and neurodegeneration. Key investigations explore mTOR signaling pathways, cell adhesion molecules (particularly Neuroligin), and CRISPR delivery systems using in utero electroporation. His work bridges fundamental synaptic biology with therapeutic applications for brain disorders. Analysis of recent publications (2023-2025) reveals three dominant research trajectories: 1) Advancement of prime editing technologies for modeling rare epilepsies (particularly GRIN2A-related disorders), 2) Elucidation of synaptic organization mechanisms through phosphorylation-dependent neuroligin localization and axon guidance principles, and 3) Development of novel delivery platforms including focused ultrasound-mediated blood-brain barrier penetration and nanoparticle systems. These efforts demonstrate a clear progression from basic synaptic biology toward clinically translatable genome editing therapies. Scientific Awards: NIH TARGETED Challenge, phase II winner (2025) Society for Neuroscience Greater Baltimore Chapter President (2024) GPILS Teacher of the Year Award, University of Maryland (2020) NIH Director's New Innovator Award (2019) Harvard Distinction in Teaching Award (2015) Human Frontier Science Program Fellowship (2012) EMBO Fellowship (2010) Max Planck Society Otto Hahn Medal (2009) Dr. Poulopoulos leads the Poulopoulos Lab (poulab.org), which operates within the University of Maryland's Center for Innovative Medicine. His team comprises postdoctoral fellows, graduate students, and research technicians focused on CRISPR agent development and neurogenetic disease modeling. Current funding includes NIH New Innovator Award support for precision genome editing platforms and recent success in the NIH TARGETED Challenge for rare epilepsy therapeutics. He actively mentors PhD candidates through the Graduate Program in Life Sciences (GPILS) and serves as course director for advanced neuroscience modules. The lab employs cutting-edge approaches including single-cell transcriptomics of neuronal compartments, in utero prime editing, and light-sheet imaging of developing cerebellar circuits. Collaborations with clinical neurologists at UMMC and industry partners accelerate translation of their CRISPR-Cas9-RC system toward correcting genomic lesions in neurodevelopmental disorders, with particular emphasis on patient-specific epilepsy models.
Masauso Chirwa serves as a Lecturer at the University of Zambia since 2008 and holds a Visiting QES Scholar position at Queen's University since 2019. His academic foundation spans social sciences, public health, and disability studies across multiple continents. His educational trajectory includes: Post Doctoral in Public Health at Queen's University (2019-present) PhD in CLL from University of Warwick (2013-2018) Advanced Certificate in Participatory Planning from Wageningen University (2013) Dual MSc degrees in Peace and Development Studies and International Social Work from Linnéuniversitet (2009-2011) BA in Social Development Studies from University of Zambia (2004-2008) Chirwa's research interrogates systemic barriers faced by marginalized populations, with particular focus on intellectual and developmental disabilities in African contexts. His work bridges public health infrastructure analysis, maternal-child health disparities, and social policy impacts on vulnerable groups. Methodologically, he employs mixed-methods approaches combining large-scale cross-national surveys with deep qualitative investigations of lived experiences in Zambian communities. His 2020-2024 publications reveal three dominant trajectories: pandemic impacts on IDD populations (6 studies), European adolescent bullying dynamics (3 studies), and historical/critical analyses of Zambian disability systems (2 studies). These demonstrate consistent engagement with health equity frameworks while expanding geographically from localized Zambian studies to pan-European collaborations. His scientific recognition includes: Vice Chancellor's Scholarship from University of Warwick (2013) NUFFIC Scholarship from Wageningen University (2013) IASSIDD Travel Grant (2016) Queen's University QES Scholar award (2019) Chirwa has secured major research funding including the University of Warwick-funded 'Experiences of Mothers of Children with Disabilities' project (2013-2017), IASSIDD's 'Inclusive Education' award (2016), and Queen's University's 'Disabled Mothers Accessibility to Maternal and Child Health Services' grant (2019). His collaborative approach involves mentoring through team-based research despite no formal advisees listed in public records. He actively shapes policy through leadership roles in the International Association for the Scientific Study of Intellectual and Developmental Disabilities (Treasurer and Executive Committee Member since 2013), alongside memberships in the Southern Africa Social Protection Expert Network, Zambia Monitoring and Evaluation Association, and Social Workers’ Association of Zambia.
Prof. Fabio Galasso is a Full Professor in the Department of Computer Science at Sapienza University of Rome, where he heads the Perception and Intelligence Lab (PINLab). His research focuses on fundamental innovation in computer vision and machine learning, with particular emphasis on distributed intelligent systems, perception frameworks, and general intelligence within sustainable and interpretable AI contexts. His research interests span multiple domains of computer vision including video segmentation , motion forecasting , distributed intelligent systems , and shape reconstruction . Galasso's work emphasizes sustainable AI approaches that operate within constrained computational resources while maintaining interpretability and verifiability. His research bridges theoretical foundations with practical applications across retail, smart cities, and industrial settings. His recent publications demonstrate a clear progression toward increasingly complex human motion understanding and forecasting, with a strong emphasis on real-world applications. The research trajectory shows movement from foundational video segmentation techniques toward sophisticated motion prediction systems and anomaly detection frameworks that integrate multiple modalities. Key themes include temporal consistency, computational efficiency, and practical deployability in resource-constrained environments. His scientific achievements have been recognized with prestigious awards: 2019 IoT/WT Innovation World Cup 2019 Digital Champions Award 2018 Deutscher Digital Award Galasso has coordinated significant research initiatives including a Marie Sklodowska-Curie Actions project (Horizon 2020) and served as Principal Co-Investigator in multiple German-funded projects from the Ministry of Education and Ministry of Economics. His industry experience includes founding and directing OSRAM's Computer Vision Department in Munich, where he led R&D efforts connecting AI research with smart lighting applications, resulting in successful innovation transfers like the award-winning VISN product. He leads the Perception and Intelligence Lab (PINLab) at Sapienza University of Rome, fostering research that spans fundamental computer vision techniques to practical implementations in retail, smart cities, and industrial applications. The lab maintains strong connections with both academic institutions (including previous collaborations with University of Cambridge and Max Planck Institute) and industry partners.
Sorin Mitran is a Professor in the Department of Mathematics at the University of North Carolina at Chapel Hill. His research focuses on computational simulation of multiscale and multiphysics systems, data-driven constitutive relations for hyperelastic materials, and information geometry for reduced stochastic models. PhD in Aerospace Engineering from Politehnica University Bucharest (1995) Professional background includes fellowships at University of Tokyo (1993), Karlsruhe Institute of Technology (1998-1999), and University of Washington (1999-2002) His research develops numerical tools to predict macro-scale behavior from micro-scale interactions, such as plastic deformation of metals from lattice defect dynamics, microtubule mechanics from molecular dynamics, and protein folding from atomic-level simulations. Mathematical approaches include adaptive computation, machine learning for constitutive law prediction, and information geometry for stochastic process analysis. Recent publications (2023-2018) span computational biology, multiscale fluid dynamics, and medical applications of continuum mechanics. Articles frequently explore data-driven modeling, wave propagation in biological systems, and GPU-accelerated numerical methods like Lattice Boltzmann and Lattice Fokker-Planck formulations.
Yannick Berthoumieu is a Professor at the Université de Bordeaux , affiliated with the IMS Bordeaux laboratory. He leads the MOTIVE team under the Signal and Image Processing research group. His work spans Signal and Image Processing , Machine Learning , and Remote Sensing , with a focus on SAR image analysis, generative models, and geometric learning.
Anjali Adukia is an assistant professor at the University of Chicago Harris School of Public Policy and the founder and director of the MiiE Lab (Messages, Identity, and Inclusion in Education). She is a faculty research fellow at the National Bureau of Economic Research (NBER) in the Economics of Education and Children and Families groups, a research fellow at the IZA Institute of Labor Economics, a non-resident fellow at the Center for Global Development, and an affiliate of the Bureau for Research and Economic Analysis of Development (BREAD). Dr. Adukia earned her doctoral degree from Harvard University Graduate School of Education with a focus on the economics of education, along with master's degrees in international education policy and higher education from Harvard. She completed her undergraduate studies in molecular and integrative physiology at the University of Illinois at Urbana-Champaign. Her interdisciplinary background bridges the natural sciences with social science research methods. Her research explores how to reduce inequalities so children from historically disadvantaged backgrounds have equal opportunities to develop their potential. She examines factors influencing educational decisions and the role of institutions in improving child outcomes, particularly at the intersection of education and health. Adukia's work draws on large-scale data, often using artificial intelligence methods to expand social science tools and data sources. Her research spans educational infrastructure, representation in children's literature, restorative justice practices, and urban-rural educational disparities. Her publications reveal consistent themes in educational equity, with particular focus on how school infrastructure (like sanitation facilities), representation in educational materials, and disciplinary practices impact student outcomes. She employs innovative computational methods to analyze large datasets, including applying AI tools to measure representation in children's books and examining textbook content across different educational systems. NSF CAREER Award in economics (2024-2029) SREE Early Career Award (2023) William T. Grant Foundation Scholar Award (2018-2023) NAEd/Spencer Postdoctoral Fellowship (2018) APPAM PhD Dissertation Award (2014) AEFP Jean Flanigan Outstanding Dissertation Award (2015) 2021 Google Customer Award for Education Dr. Adukia serves on the editorial boards of Education Finance and Policy, Journal of Research on Educational Effectiveness, and Journal of Social Computing (IEEE). She organizes the annual AI in Social Sciences conference at the University of Chicago and continues to work with international non-governmental organizations including UNICEF and Manav Sadhna in Gujarat, India. Her research has been featured in major media outlets including The Economist, Wall Street Journal, Washington Post, and NPR.
Anna Maria Paola Toti is an Associate Professor in the Department of Social and Economic Sciences at Sapienza University of Rome, where she teaches "History of Sociology" and "General Sociology" within the Faculty of Political Science, Sociology, and Communication. Her academic work is deeply rooted in theoretical and historical sociology with a strong emphasis on visual methodologies and spatial analysis. Her primary research interests span across several interconnected domains of sociological inquiry: Epistemology of social sciences and visual sociology History of sociological thought from the 18th century to contemporary theories Critical social theory and responsibility sociology Urban sociology, with particular focus on space, marginality, and stigmatization processes Social inclusion/exclusion dynamics in smart cities and post-disaster contexts Gender representations and visual narratives in social research Professor Toti's recent scholarly output demonstrates a clear trajectory connecting historical sociological frameworks with contemporary social challenges. Her work bridges classical theoretical perspectives with pressing issues like digital transformation, climate change impacts, pandemic responses, and urban inequality. A distinctive feature of her research is the integration of visual methodologies with traditional sociological approaches, particularly in examining how spaces are experienced, represented, and transformed by different social groups. She serves as Delegate of the Faculty of Political Science, Sociology, and Communication for Disability Services, Equal Opportunities and Inclusion, and the Third Mission. Additionally, she is Secretary of the "Sociological Theories and Social Transformations" section of the Italian Sociological Association (AIS) for the 2023-2025 term. Professor Toti actively supervises thesis work, requiring students to request thesis supervision at least six months before their intended graduation session. Her office is located on the first floor, room 107, in the Department of Social and Economic Sciences building (Piazzale Aldo Moro 5 - Building CU002).
Giuseppe Claudio Guarnera serves as a Senior Researcher at the Norwegian University of Science and Technology (NTNU) in the Department of Computer Science, leading the Research Council of Norway-funded "Spectraskin" project on spectral skin modeling. He concurrently holds a Lecturer position in Computer Vision and Graphics at the University of York (UK) and has been a Guest Researcher at Justus-Liebig University Giessen's Department of Psychology since 2017. His academic background includes: Ph.D. in Computer Science from the University of Catania, Italy, with a dissertation in computer vision and pattern recognition Foundational research experience at the USC Institute for Creative Technologies (US) Guarnera's research centers on computer vision, computer graphics, and visual perception applications, with specialized expertise in spectral skin reflectance modeling, BRDF representation, and material acquisition for virtual environments. His work integrates perceptual validation to enhance realism in digital face rendering and fabric modeling, bridging theoretical computer graphics with practical VR applications. Analysis of his 2017-2020 publications reveals a consistent focus on material and skin reflectance measurement techniques, perceptual validation frameworks, and cross-renderer parameter remapping. Key trends include the development of spectral skin modeling for realistic digital faces (notably in the Spectraskin project), practical BRDF acquisition methods, and single-image fabric reconstruction—demonstrating strong interdisciplinary connections between computer vision, graphics, and human perception studies. Guarnera secures competitive research funding as Principal Investigator of the "Spectraskin" young research talents project awarded by the Research Council of Norway, which investigates spectral skin modeling and rendering for realistic digital faces. He directs the Spectraskin project team at NTNU, which specializes in advancing spectral skin modeling techniques through interdisciplinary collaboration between computer vision, graphics, and perceptual psychology researchers.
Ryoma Hattori is an Assistant Professor at the University of Florida, based at the UF Scripps Biomedical Research campus in Jupiter, FL. His laboratory, the Hattori Lab, focuses on neural mechanisms underlying cognitive functions, learning, and their disruption in autism. Dr. Hattori received his educational degrees from prestigious institutions: Ph.D. in Molecular and Cellular Biology from Harvard University (2016) A.M. in Molecular and Cellular Biology from Harvard University (2012) B.S. in Biophysics and Biochemistry from the University of Tokyo (2010) His research interests center on decision making, reinforcement learning, and number sense, using systems and computational approaches. The lab employs techniques such as in vivo 2-photon imaging, optogenetics, virtual reality behaviors, and machine learning to investigate neural activity and plasticity dynamics in mice. A significant focus is understanding how these processes are impaired in autism spectrum disorder. Analysis of his recent publications reveals a strong emphasis on computational neuroscience and neural circuit mechanisms. His work spans from developing advanced imaging and analysis tools to uncovering fundamental principles of value coding and meta-reinforcement learning, with applications in both basic neuroscience and artificial intelligence. Dr. Hattori has received numerous scientific awards, including: Outstanding Mentor Award 2025 from Society of Research Fellows, UF Scripps SFARI Bridge-to-Independence Award 2022-Current from Simons Foundation Warren Alpert Distinguished Scholar Award 2021-2024 from Warren Alpert Foundation Postdoctoral Grant Award 2021-2022 from The KANAE Foundation And several fellowships during his postdoctoral and graduate training. As a principal investigator, Dr. Hattori leads multiple active grants, including the Shenoy Undergraduate Research Fellowship in Neuroscience (2025-2026) and a project on "Neural activity and plasticity dynamics for reinforcement learning in autism" funded by the Simons Foundation. His mentorship has been recognized with the Outstanding Mentor Award. The Hattori Lab is a dynamic research group utilizing cutting-edge technologies to explore the neural basis of cognition, with a particular interest in translational implications for autism and related disorders.
Sotiria Fotopoulou is a Lecturer in the School of Physics at the University of Bristol. Her research focuses on astrophysics, particularly in active galactic nuclei (AGN), quasars, galaxy clusters, and cosmic web structure. She contributes to the Euclid mission's scientific objectives through studies of photometric redshifts, galaxy evolution, and environmental effects. Current Project: Principal Investigator for 'Co-evolution or co-existence? Growth of supermassive black holes in next generation surveys' (2023-2024) Research Themes: Quasar census, slitless infrared spectroscopy for high-redshift objects, cosmic web reconstruction, intracluster light analysis, and gravitational lensing detection. Her work integrates Euclid data with machine learning techniques for galaxy morphology and photometric studies. Award: Recipient of Undergraduate Bursary Grant (2020)
Seunghwa Jeong is a Professor in the Department of Contents Software at Sejong University. He holds a Ph.D. (2024) and M.S. (2015) from the Korea Advanced Institute of Science and Technology (KAIST), and a B.S. (2006) from Pusan National University. His professional experience includes serving as CEO at KAI Inc. (2022-2023) and Technical Lead at the same company (2015-2021). His research focuses on two interconnected domains: Immersive Video Processing including VR systems, multi-view environments, and 4D free-viewpoint technologies, and ML-based Video Processing covering video compression, super-resolution, and object detection/segmentation techniques. Recent publications demonstrate a strong focus on real-time video enhancement using deep learning, interactive 360° viewing systems, and consistent object segmentation across multiple viewpoints. His work appears in premier journals including IEEE Transactions on Pattern Analysis and Machine Intelligence and ACM Transactions on Graphics.
Hamid Dehghani is a Professor of Medical Imaging at the University of Birmingham, affiliated with the Computer Science department, Healthcare Technologies Institute, and The Centre for Human Brain Health (CHBH). With an extensive research portfolio spanning electromagnetic wave propagation within biological tissue and image reconstruction from physiological measurements, he has established himself as a leading figure in biomedical optics. His primary research interests include: Diffuse Optical Tomography Near-infrared Spectroscopy Image Reconstruction Engineering Electromagnetic Wave Propagation in Biological Tissue Multi-Modality imaging techniques Near Infrared Imaging for breast cancer detection Diffuse Optical Imaging of the human brain Professor Dehghani has produced 358 research outputs throughout his career, with consistent publication activity since 1998. His recent work demonstrates a strong focus on functional near-infrared spectroscopy applications for studying brain hemodynamics in response to auditory stimuli, development of real-time imaging techniques, and standardization of terminology in the field. His research bridges engineering principles with clinical applications across neuroscience and oncology. Current research projects include: BioSMART: BIOreactor Spatial Mapping and Actuation in Real Time (EPSRC, 2023-2026) Live monitoring of foreign-body response in animals by diffuse Raman spectroscopy (NC3Rs, 2021-2025) Next generation deep tissue quantitative optical imaging (NIH, 2021-2025) Open, Extensible, Standardized, and Customizable Computational Tools for Optical Brain Mapping (NIH, 2024-2025) Mild Traumatic Brain Injury Biomarker Study (mTBI-Predict) (US Army, 2023-2028) His research fingerprint shows significant expertise in Diffuse Optical Tomography (100%), Near-infrared techniques (68%), Image Reconstruction (62%), and Near-infrared Spectroscopy (56%). Professor Dehghani is actively accepting PhD students and continues to make substantial contributions to medical imaging technology development.
