Lindsey Glickfeld is an Associate Professor of Neurobiology at Duke University School of Medicine, focusing on the organization and function of the mouse visual system. She is a Faculty Network Member of the Duke Institute for Brain Sciences. Ph.D., University of California, San Diego (2007) Her research investigates how specialized modules in the visual cortex coordinate to process visual input and guide behavior, using genetic, optical, electrophysiological, and behavioral approaches. Recent work explores somatostatin interneurons, motion integration, and synaptic pharmacology. She has received prestigious awards including the Sloan Fellowship (2015) and Pew Scholars in the Biomedical Sciences (2014). Her grants focus on cortical circuitry, cholinergic modulation, and visual perception. Sloan Fellowship (2015) Pew Scholars in the Biomedical Sciences (2014) Glickfeld teaches courses such as Neurobiology Bootcamp and Independent Research Rotations , emphasizing interdisciplinary neuroscience training.
Prof. Elinor Amit serves as an Associate Professor at Tel Aviv University's Coller School of Management, where her research examines how visual and language systems shape social cognition, moral judgment, and consumer behavior. Her work has been published in premier journals including Psychological Science and Journal of Experimental Psychology: General , receiving coverage from NPR and Scientific American. Educational background includes: Ph.D. in Psychology, Tel Aviv University (2009) Postdoctoral Fellowship, New York University Psychology Department Postdoctoral Fellowship, Harvard University Psychology Department Amit's research program integrates applied social psychology with cognitive science, focusing on psychological distance mechanisms, medium effects (pictures vs. words), and ethical decision-making. She investigates how visual imagery influences moral cognition differently than verbal reasoning, and how these processes manifest in consumer contexts and institutional corruption perceptions. Her experimental approach bridges neuroimaging and behavioral methods to uncover fundamental cognitive-affective interactions. Publication trends reveal consistent exploration of visual-verbal asymmetries across 15+ years, with recent work examining power signaling through communication media, effortful honesty frameworks, and dynamic distance constructs. This research trajectory demonstrates growing interdisciplinary impact spanning organizational behavior, legal psychology, and consumer neuroscience. No scientific awards were documented in the source materials. Details regarding graduate student mentorship, research funding, laboratory infrastructure, or collaborative teams were not specified in the provided information.
Pierre Teissier is a Lecturer in Epistemology and History of Science & Technology at the University of Nantes, affiliated with the History of Science Department. He previously prepared his HDR thesis at the University of Technology of Belfort-Montbéliard under Pierre Lamard's supervision. His research spans two primary domains: Machines, Energies, and Industrial Societies (19th–21st centuries) and History & Epistemology of Chemistry/Materials . Key interests include energy storage systems, lithium's technological/social implications, and the evolution of industrial infrastructures. His work critically engages with environmental humanities, analyzing how energy transitions intersect with political and cultural narratives. Teissier's 15 most recent publications (2014–2025) reveal a focus on energy metaphors, material epistemologies, and historical case studies of French industrial innovation. Recurring themes include sustainability paradoxes, the role of state policies in technological adoption, and critiques of extractivist economies. His 2025 article on lithium's temporal dimensions exemplifies interdisciplinary analysis bridging history, energy studies, and philosophy. Awards: 2023 Special Jury Prize (AARHSE) for his HDR thesis on energy storage. No information is available regarding student supervision, research labs, or grant funding.
Monique Meuschke serves as a Privatdozent (equivalent to Associate Professor) at the Institute of Simulation and Graphics, Otto-von-Guericke University Magdeburg, where she leads pioneering research at the intersection of medical visualization and narrative storytelling. Her work transforms complex clinical data—particularly hemodynamic patterns in cerebral aneurysms—into accessible visual narratives for diverse audiences ranging from neurosurgeons to patients and the general public. Her research program centers on three interconnected pillars: Medical Visualization Fundamentals : Developing novel techniques for blood flow analysis, aneurysm characterization, and vascular structure representation through systems like Aneulysis and COMFIS Narrative Storytelling Frameworks : Creating structured methodologies for 'disease stories' that communicate pathological processes through visual narratives, including AI-generated characters and virtual reality experiences Public Health Translation : Bridging clinical data with community health literacy through projects like Raccoon for risk communicators and visual disease stories for epidemiological data Meuschke's publication trajectory reveals accelerating impact since 2020, with 18 first-author/co-author papers in 2024-2025 alone spanning top venues including IEEE Transactions on Visualization and Computer Graphics, Medical Image Analysis, and Eurographics workshops. Her work demonstrates consistent focus on making medical data both scientifically rigorous and humanly comprehensible, with recent innovations in AI-assisted narrative generation and real-world validation through platforms like YouTube comment analysis. She maintains active collaboration within Otto-von-Guericke University's visualization ecosystem while extending impact through clinical partnerships and public health initiatives. Her research directly addresses critical gaps in medical communication—from surgical planning support to population-level health literacy—through technically sophisticated yet accessible visual solutions.
Eduardo Andrés Carreño Lara is an Associate Professor at the University of Chile's Institute of International Studies, specializing in global public policies and international relations. With a PhD from Autonomous University of Madrid and a Master's from both Universidad Autónoma de Madrid and University of Chile, he maintains a 44-hour work week teaching undergraduate and postgraduate courses including International Public Policies , Qualitative Methods , and Contemporary Theories in International Studies . His research focuses on: Global governance mechanisms and South-South cooperation dynamics Foreign policy analysis in Latin American and African contexts Diplomatic history and crisis management in multilateral frameworks Methodological approaches to international development studies Carreño has supervised 13 graduate theses examining topics ranging from UN urban development frameworks to lithium industry governance, consistently emphasizing policy implementation challenges and regional integration.
Tiziana Ciano (born April 21, 1991) serves as a tenured Researcher and Assistant Professor at the Department of Economic and Political Sciences, University of Aosta Valley. She holds a PhD in Law and Economics & Doctoral Europaeus from Mediterranean University of Reggio Calabria & University of Portsmouth, and a Master's Degree in Economics obtained with highest honors. Her academic appointments include Contract Professor at DICEAM Department, Mediterranean University of Reggio Calabria, and membership in Decisions_Lab scientific laboratory. Dr. Ciano's research spans mathematical economics with strong AI applications: Artificial Intelligence and Applied Mathematics Machine Learning and Deep Learning for socio-economic systems Stochastic Programming and Multi-objective Optimization Dynamic Systems and Epidemic Modeling Decision Support Systems for tourism and finance Her recent publications reveal a consistent focus on applying advanced mathematical methods to portfolio optimization, pandemic dynamics, climate change sustainability, and tourist flow forecasting. She has developed tri-objective optimization models for financial decision-making and fuzzy fractional-order models for pandemic dynamics, demonstrating methodological innovation across multiple domains. Dr. Ciano has received multiple prestigious recognitions including the Best Poster Award at DySES2022 conference for her work on fake news sentiment analysis during pandemics, a Research Award for her paper on duopoly game analysis published in Symmetry, and the Anassilaos Giovani Ricerca Award under the patronage of the President of the Republic of Italy. She serves on editorial boards of high-impact journals including Mathematics (MDPI) Financial Mathematics section (Q1, IF 2.592), Applied Mathematical Sciences, and International Journal of Contemporary Mathematical Sciences. As Guest Editor, she has curated special issues on mathematical economics, differential games, and symmetry in machine learning algorithms. She regularly referees for Mathematical Problems in Engineering, Information Processing & Management, and Scientific Reports (NATURE). Dr. Ciano actively participates in Decisions_Lab research laboratory and leads multiple collaborative projects including MONTUR (Real-time Monitoring of Tourist Flows in Aosta Valley), MEC – Marketplace Ecosostenibile Calabria, and IUSTIT-IA. She has organized numerous international conferences including AMASES 2023, NUMTA2023, and special sessions on predictive analytics and machine learning applications in socio-economic systems.
