Sophie Demonceaux is a Lecturer at University of Burgundy , affiliated with IUT Le Creusot and research group CIMEOS . Her work bridges Digital Communication with interdisciplinary foci on family/relationship dynamics, educational technology, and media representation of scientific topics. Key Research Themes: ICT's impact on marital relationships, digital education strategies, school dropout prevention via communication, and media coverage of controversial subjects like homeopathy. Projects: Leading COM'PAS (2020-2023), a regionally-funded initiative analyzing school retention through digital communication. Publications span journals like Tic&société , book chapters on social media expertise, and conference presentations at events hosted by INSPE de Bourgogne and Université Catholique de l'Ouest . Her 2014 thesis on ICT and intimacy remains a foundational work. Career Progression: From Professor-documentaliste (2003-2006) to PRCE Expression-Communication (2011-2016), she transitioned to Lecturer in 2016. Holds a 2014 Doctorate in Information and Communication Sciences .
Paweł Tarnowski is a researcher at the Institute of the Theory of Electrical Engineering, Measurement and Information Systems , Faculty of Electrical Engineering, Warsaw University of Technology. His work focuses on biomedical signal processing, emotion recognition, and machine learning applications in affective computing and human-computer interaction. Research areas include Information and Communication Technology (ICT) Electrical and Electronic Engineering Artificial Intelligence Neuroscience Human Factors His recent publications highlight trends in emotion recognition using multimodal physiological signals (EEG, EOG, GSR), driver fatigue detection, and deep learning techniques like 1D-CNN for medical diagnostics. Articles also address urban traffic monitoring and neuromarketing research via EEG analysis. At Warsaw University of Technology, he supervises thesis projects and contributes to interdisciplinary research in biomedical engineering and signal processing. Labs/Teams: Institute of the Theory of Electrical Engineering, Measurement and Information Systems .
Prof. Dr. Martin Vinck is a Professor at the Donders Centre for Neuroscience in the Department of Neurophysics , Radboud University. He is also a Research Group Leader at the Ernst Strüngmann Institute for Neuroscience and a faculty member at the International Max Planck Research School for Neural Circuits . Current affiliations: Radboud University, ESI Frankfurt, Max Planck Research School Positions: Professor, Research Group Leader, Review Editor for eLife Research Interests span computational and systems neuroscience, focusing on predictive processing in biological and artificial neural networks. His lab investigates: How distinct excitatory/inhibitory neurons regulate plasticity and flexible information processing Neural ensemble coding via spatio-temporal patterns and spike sequences Self-supervised learning mechanisms using spatial/temporal predictions Gamma oscillations, synchronization, and their role in visual encoding Scientific Contributions include developing algorithms for high-dimensional neural data analysis, co-supervising key studies on interneuron dynamics, and pioneering work on predictive coding in V1. His grants include the ERC Starting Grant (2019) and VIDI Grant (2024) . Lab Members include PhD students Jinke Liu, Jahan Esfandiarii, Athanasia Tzanou and alumni Irene Onorato, Marius Schneider, Ana Clara Silveira Broggini . He actively promotes open science , develops the Spike Toolbox , and reviews for journals like Neuron, eLife, PLoS Computational Biology .
Jonas L. Juul is an Assistant Professor in the Computer Science Department at the IT University of Copenhagen . With a background in network science and complex systems, he employs statistical methods, mathematical modeling, and computer simulations to study social networks, spreading processes, and human behavior. Focus areas include: information diffusion in social networks Disease spread mitigation in human populations Interdisciplinary collaboration with medical doctors, economists, and computer scientists Recent research highlights include improving statistical models for pandemic forecasting through the InForM project funded by the Novo Nordisk Foundation , and groundbreaking work on contact tracing optimization and information cascade dynamics. Notable recognitions: 2025 H.C. Ørsted Research Talent Prize 2024 Novo Nordisk Foundation Data Science Emerging Investigator Grant 2025 Young Academy membership He has contributed to mathematical modeling efforts during Denmark's COVID-19 reopening in 2020 and maintains active collaborations with institutions including Cornell University , Technical University of Denmark , and Niels Bohr Institute .
Mathias Spliid Heltberg is an Assistant Professor at the Biocomplexity section of the Niels Bohr Institute, University of Copenhagen. His research focuses on nonlinear dynamics in biological systems, particularly oscillatory mechanisms in cellular processes and medical informatics applications. Current affiliation: Niels Bohr Institute, University of Copenhagen Research areas: Biocomplexity, Systems Biology, Chronobiology His recent publications span topics like p53 dynamics in DNA damage response, signal transmission in excitable media, and medical informatics applications. Collaborations include institutions in Denmark, USA, and China. The research integrates computational modeling with experimental validation in diverse biological contexts. Key contributions include theoretical frameworks for biological oscillations and practical applications in gestational diabetes intervention and surgical outcome prediction. His work on allelic buffering and potassium ion dynamics highlights cross-disciplinary approaches combining physics and biology.
Dr. Xiaoyan Hong is an Associate Professor in the Department of Computer Science at The University of Alabama's College of Engineering. Her research focuses on mobile/wireless networks, vehicular networks, and delay-tolerant systems. Ph.D., Computer Science, University of California-Los Angeles (2003) M.S., Computer Science, Zhejiang University (2000) Research spans Internet of Things (IoT) , Connected Vehicles , and Underwater Wireless Networks . Key projects include NSF-funded underwater robot communication infrastructure and smart traffic light systems. Recent work explores Named Data Networking (NDN) in vehicular environments, Task Synchronization for autonomous vehicles, and V2I Communication for traffic optimization. NSF Research Experience for Undergraduates (REU) grant recipient $1.5M NSF grant for underwater robotics networking Her research integrates with multiple engineering centers, including the Center for Advanced Vehicle Technologies and Center for Transportation Operations .
Lukasz Mezyk is a researcher at the Division of Aircraft Engines , Institute of Heat Engineering, Warsaw University of Technology. He specializes in advanced propulsion systems for spacecraft with a focus on resistojet and cold gas thrusters. Email: lukasz.mezyk@pw.edu.pl Room: 303 Professional Membership: Polish Combustion Institute, Space Technology Projects Expert Research Focus : Dr. Mezyk's work centers on: Resistojet thruster development Green propellant technologies Thermal decomposition of hydrogen peroxide Spacecraft attitude control systems Supercapacitor-powered propulsion Microgravity robotics propulsion Publication Trends : His recent work emphasizes resistojet optimization using supercapacitors and green monopropellants, with significant contributions to thermal decomposition mechanisms and spacecraft robotics applications. Awards : I degree Team Award for organisational achievements (2018) Teaching : He instructs courses on astronautics, rocket propulsion, and spacecraft design, while supervising numerous diploma theses and serving on academic committees. Organizational Roles : Dr. Mezyk serves as secretary of diploma exams and contributes to training programs for space technology projects, including satellite design phases and propulsion systems education.
Sam GARG serves as Associate Professor of Management at ESSEC Business School Singapore campus, where he has held this position since 2023. He earned his PhD in Management Sciences from Stanford University in 2011. His research focuses on corporate governance in entrepreneurial contexts, particularly examining board dynamics in new ventures, CEO-board relationships, and governance structures during organizational transitions. GARG's work reveals nuanced insights about how board composition affects venture performance, innovation, and strategic decision-making, with particular attention to the role of founder-directors versus investor-directors. His recent publications in top-tier journals demonstrate consistent scholarly impact, with several 2025 papers exploring board synchronization skills, director power dynamics, and empirical investigations of technology venture boards. His work frequently employs longitudinal and qualitative methods to uncover behavioral processes in boardrooms and CEO-board interactions. Best Paper Award at the India Strategy Conference, sponsored by the Academy of Management Strategy Division (2024) Runner-up for Best Paper Award at the Strategic Management Society Annual Conference (2024) GARG actively contributes to the academic community as Editor of Strategic Entrepreneurship Journal (2021-2027) and serves on editorial boards including Organization Science and Academy of Management Journal. He also participates in Singapore's Stewardship Asia Centre as a member of the academic advisory board, sponsored by Temasek, Singapore's sovereign wealth fund. His doctoral student TRÖBINGER M. is currently completing thesis research under his supervision at ESSEC Business School.
Prof. Dr. Jürgen Schnack is a theoretical physicist at the Faculty of Physics, Bielefeld University , where he has served since 2007. His academic career includes leadership roles as Vice Dean (2015-2017) and Dean (2017-2019) of the Faculty of Physics. He is a member of the German Physical Society (DPG) , American Physical Society (APS) , and other academic societies. Education: PhD in Physics (1996, Technical University of Darmstadt & GSI), Habilitation (2001, University of Osnabrück) Research: Focus on quantum spin systems, magnetic molecules, frustration effects, and carbon nanomembranes. His work explores decoherence, thermodynamics in non-equilibrium systems, and magnetocaloric effects. Grants: Recipient of projects from the German Research Foundation (FOR 2692, others) and the European Union (e.g., molecule-based magneto/electro/mechano-calorics). Awards: 2002 Hans Mühlenhoff Prize for habilitation; 2006 Fellow of the International Center for Transdisciplinary Sciences, International University Bremen. Advising: Chaired a PhD program with 11 students (2001-2006). Publications: Over 100 peer-reviewed articles in journals like Physical Review Letters , Journal of the American Chemical Society , and Inorganic Chemistry , focusing on frustrated quantum magnets, spin dynamics, and molecular magnetism. Labs/Teams: Leads the Condensed Matter Theory Working Group at Bielefeld University and collaborates with international institutions like Ames Laboratory and INT Seattle.
Raymond Cheng is a Researcher and blockchain lecturer with a focus on security, privacy, and distributed systems. He earned his Ph.D. in Computer Science from the University of Washington and holds degrees in Physics, Electrical Engineering, and Computer Science from MIT. His research spans blockchain scalability, privacy-preserving protocols, and decentralized infrastructure. Key projects include Kariba Labs , MASQ Foundation , and Open Source Observer , where he works on tools for public goods funding, secure smart contracts, and open-source analytics. Raymond's publications highlight advancements in blockchain-based databases (FalconDB), confidential smart contracts (Ekiden), and privacy-preserving messaging (Talek). His work often intersects with internet freedom and secure, scalable systems. He co-founded multiple organizations, including the Decentralization Institute and Public Goods Foundation , and has been featured in Forbes , Wired , and MIT Technology Review for his contributions to privacy and blockchain innovation.
Dr. Vladimír Havlík is an Associate Professor at the Faculty of Philosophy, Masaryk University, and a researcher at the Institute of Philosophy of the Academy of Sciences of the Czech Republic since 1991. His academic career spans philosophy of science, emergence theory, and evolutionary epistemology. Education: PhDr. in Philosophy (1986, Charles University), CSc. (1990, Czechoslovak Academy of Sciences) Key roles: Secretary of the Czech Committee for Logic, Methodology and Philosophy of Science, computer network administrator at the Institute of Philosophy Dr. Havlík's research focuses on the philosophical foundations of science, particularly emergence, evolutionary theory, and the status of special sciences. His work critically examines reductionism, physicalism, and the methodology of cosmology, often bridging physics with metaphysical analysis. His publications analyze the interplay between logical positivism, scientific rationality, and interdisciplinary ontological principles. He has taught courses on philosophy of science, history of physics, and methodological seminars at the University of West Bohemia and Masaryk University. As a translator and editor, he has contributed to disseminating key texts in analytical philosophy, including works by Schlick, Waismann, Popper, and Feyerabend. His academic engagement extends to organizing symposia and serving on institutional IT commissions.
Prof. Dr.-Ing. Joachim Denzler is a Professor leading the Chair for Digital Image Processing (Lehrstuhl für Digitale Bildverarbeitung) at Friedrich-Schiller-Universität Jena. His research spans computer vision, machine learning, medical imaging, and remote sensing applications across diverse domains including biomedical analysis, environmental monitoring, and facial recognition systems. His research interests focus on explainable AI, causal discovery, physics-informed neural networks, and bias mitigation in deep learning models. He has made significant contributions to fine-grained classification, concept activation vectors, and privacy-preserving techniques in facial recognition. His work often bridges theoretical computer vision with practical applications in medical diagnostics, environmental science, and infrastructure monitoring. His recent publications demonstrate a strong trend toward causal discovery methods, physics-informed neural networks, and addressing bias in machine learning systems. His work spans both theoretical advancements in model interpretability and practical applications in medical imaging, environmental monitoring, and infrastructure safety. The interdisciplinary nature of his research is evident from collaborations with ecologists, neuroscientists, and civil engineers. Best Paper Award at International Conference on Pattern Recognition (ICPR) 2024 Prof. Denzler actively mentors numerous PhD students and postdoctoral researchers, with frequent co-authors including Maha Shadaydeh, Niklas Penzel, Gideon Stein, and Tim Büchner appearing as first authors on significant publications. His laboratory has secured research funding across multiple domains including medical imaging, environmental monitoring, and AI safety. His work on CausalRivers represents a major contribution to benchmarking causal discovery methods with real-world time series data. The Chair for Digital Image Processing maintains strong industry and clinical partnerships, particularly in medical imaging applications for facial palsy analysis and neonatal care. Prof. Denzler's team has developed novel techniques for dam deformation monitoring using remote sensing data and created advanced methods for analyzing plant diversity effects on ecosystem functioning.
David Moses is an Assistant Professor in the Department of Neurological Surgery at the University of California, San Francisco (UCSF) School of Medicine. His research focuses on developing advanced brain-computer interfaces (BCIs) and speech neuroprostheses to restore communication in individuals with paralysis or speech impairments. Moses works at the intersection of neuroscience, biomedical engineering, and artificial intelligence, utilizing cortical activity mapping to create real-time decoding systems. Research Areas: Brain-Computer Interfaces Speech Neuroprosthetics Neural Signal Decoding Artificial Intelligence in Medicine Cortical Activity Analysis Cognitive Neuroscience Publication Trends: Moses' recent work (2024-2025) emphasizes streaming brain-to-voice neuroprostheses, bilingual speech decoding, and user agency in neuroprosthetic design. Earlier publications (2016-2022) established foundational methods for continuous phoneme decoding, real-time dialogue systems, and AI-driven cortical signal translation. Key Collaborations: Moses frequently collaborates with Edward Chang (UCSF), Gopala Anumanchipalli (UCSF), Karunesh Ganguly (UCSF), and Adelyn Tu-Chan (UCSF) on high-impact neuroprosthetic research. His work is cited extensively in medical and neuroscience literature, with significant social media and policy influence.
Stephanie M. Mangus is an Associate Professor of Marketing at Baylor University's Hankamer School of Business, where she teaches Professional Selling I (MKT 3310) and Sales Force Management (MKT 4310) through the Center for Professional Selling. She holds a PhD in Marketing from Louisiana State University, an MBA from the University of Cincinnati, and a BA in Communication Arts from Ohio Northern University. Her research examines buyer-seller dyads, sales/service interfaces, service recovery, and emotional drivers of salesperson/customer behaviors. Key areas include trust dynamics, digital communication efficacy in B2B contexts, salesperson well-being impacts, and gratitude's role in ethical consumerism. Publications demonstrate consistent focus on sales strategy optimization, relationship management during market turbulence, and recovery from service failures. Recent works (2022-2025) emphasize digital sales enablement, trust miscalibration consequences, and luxury branding effects. Awards include: 2019 AMA Sales Interest Group Excellence in Teaching Award 2023 Hankamer School of Business Early Career Teaching Award She chairs the American Marketing Association's Sales Special Interest Group and serves on editorial boards for the Journal of the Academy of Marketing Science , Journal of Business Research , and Journal of Personal Selling & Sales Management . She regularly presents at major conferences including the AMA Educators' Conference and Global Sales Science Institute.
Martin Goetze is a graduate research assistant at the Institute of Ergonomics, Technical University of Munich, where he is pursuing his doctorate. His research focuses on human-machine interaction (HMI) in urban driving environments, particularly optimizing head-up displays and combination instruments for visual information processing. Doctoral candidate in Ergonomics (expected completion: mid-2017) Part of the UR:BAN project with 30+ industrial partners Co-author on publications addressing urban traffic stress, safety, and ecological responsibility His work bridges ergonomic principles with advanced display technologies to enhance driver situation awareness in complex urban scenarios. Research trends indicate a focus on: Comparative analysis of HMI concepts Visual workload optimization Integration of ecological responsibility in vehicle design Testing under mesopic lighting conditions Stress and safety dynamics in urban traffic Key lab facilities involved include the Dynamical Mock-Up and Static Driving Simulator environments. No scientific awards are explicitly mentioned in the provided materials.
