Jean-François Lalonde is a Full Professor in the Department of Electrical and Computer Engineering at Université Laval, where he has worked since 2013. He serves as Deputy Scientific Director at the Institute for Intelligence and Data (IID) and Director of the Digital Vision and Systems Laboratory. His research focuses on integrating physics-based models with data-driven machine learning techniques for computer vision, graphics, and AR/VR applications. Education: Ph.D. in Robotics, Carnegie Mellon University (2011) MS in Robotics, Carnegie Mellon University (2006) B.Eng. in Computer Engineering, Université Laval (2004) His research at the intersection of computer vision and machine learning emphasizes lighting estimation, HDR imaging, and photobiological applications in architecture. His work has produced significant datasets and tools for academic use. Scientific Awards: Teaching Star Award, Faculty of Science and Engineering, Université Laval (2025, 2024, 2022, 2020, 2019, 2018, 2017, 2016, 2015) He actively mentors students and has guided recipients of prestigious NSERC scholarships. His research involves collaborations with Adobe, Meta, and other high-tech companies, including technology transfer through patents and consulting.
Alfonso de Hoyos Fernández de Córdova is affiliated with the Higher Polytechnic School at Antonio de Nebrija University , specializing in Transport Engineering and Infrastructure within the GREEN Research Group on Automotive Engineering . He holds dual PhDs: one in Neuroscience (2011, Complutense University of Madrid) for work on Synchronization and coherence in brain activity , and another in Automotive Engineering (2025, Universidad Antonio de Nebrija) for research on Non-invasive methodology for vehicle suspension parameter identification . Education: PhD in Neuroscience, Complutense University of Madrid (2011) PhD in Automotive Engineering, Universidad Antonio de Nebrija (2025) His research spans Transport Engineering , Automotive Systems , Cardiology , and Biomedical Imaging , focusing on hemodynamic assessment of coronary circulation , non-destructive testing of magnetic materials , computational fluid dynamics , and magnetoencephalography . He has pioneered methodologies for intracoronary pressure and flow velocity analysis and microvascular conductance evaluation , integrating CFD simulations with clinical diagnostics to improve cardiovascular interventions. Email: ahoyos@nebrija.es
Marc Hébert is a Full Professor in the Department of Ophthalmology and Otorhinolaryngology at Laval University's Faculty of Medicine, where he directs the Visual Electrophysiology and Photobiology Laboratory and serves as Deputy Scientific Director of Clinical Research at the CERVO Brain Research Center. His work bridges ophthalmology, neuroscience, and mental health through innovative light-based research. Dr. Hébert holds a Bachelor's degree in Psychology from the University of Ottawa and a PhD in Neurobiology from the University of Montreal, followed by postdoctoral training at Rush Presbyterian St-Luke’s Medical Centre in Chicago and the University of Alberta. His research centers on chronobiology and photobiology, investigating how light influences mood, sleep, and circadian rhythms. He pioneered light therapy applications for seasonal affective disorder and developed interventions to improve vigilance in night workers. His groundbreaking work on retinal biomarkers for psychiatric illnesses has revealed distinct electroretinographic patterns in depression and schizophrenia. Analysis of his recent publications shows a dominant focus on translating electroretinography and pupillometry into clinical diagnostics for Parkinson's disease and mood disorders, while expanding into architectural photobiology with northern lighting applications. His work consistently targets practical health solutions through interdisciplinary collaboration. Key recognitions include: Senior research scholar career award from FRSQ (2010-2014) Named one of Quebec City's 19 most fascinating personalities by Scope Magazine (2008) As an advisor, Dr. Hébert supervises Valérie Gagné (Master's), Marc-André Dubois (PhD), and Victoria Soto Linan (PhD), while securing significant funding through Quebec's InnovExport Fund for his spin-off Chronophotonix. His research has generated extensive media coverage and led to two commercial ventures: Chronophotonix for occupational safety lighting and diaMentis for psychiatric diagnostics. The Visual Electrophysiology and Photobiology Laboratory operates seven cutting-edge platforms for human and animal electrophysiology, collaborating with the CERVO Research Center on projects ranging from night worker adaptation to retinal biomarker validation. Current initiatives include refining Parkinson's diagnostic protocols and developing personalized light interventions for mental health.
José Chilo is an Associate Professor at the University of Gävle, Sweden, specializing in Electrical Engineering with a focus on sensor systems, wireless communication, and signal processing. His research spans multiple interdisciplinary domains including industrial automation, environmental monitoring, biomedical applications, and food industry technology. His educational background includes: B.Sc. in Industrial Economics from University of San Agustin Arequipa, Peru (1986) B.Sc. in Electrical Engineering from Royal Institute of Technology (KTH), Sweden (2001) PhD in Physics from Royal Institute of Technology (KTH) (2008) Dr. Chilo's research interests center around wireless sensor networks , machine-to-machine communication , electronic nose technology , and advanced signal processing . His work addresses challenges in electromagnetically disturbed environments, with applications ranging from industrial manufacturing to healthcare diagnostics. He has made significant contributions to the development of reliable communication systems for harsh industrial settings and has pioneered applications of sensor technology in food quality assessment and environmental monitoring. His research consistently bridges theoretical signal processing with practical engineering solutions for real-world problems. Dr. Chilo has been involved in numerous research projects, most notably the 5-year project "Reliable Machine-to-Machine Communication in Electromagnetically Disturbed Environments" in collaboration with various companies. His current work spans sensor development, wireless networks, and advanced measurement techniques across multiple application domains. His laboratory work focuses on wireless sensor systems for environmental monitoring, industrial process control, and biomedical applications. He has developed several electronic nose systems for food quality assessment and environmental monitoring, and his team has created innovative solutions for challenging communication environments like tunnels and industrial facilities.
Professor Amine Kamen is a distinguished academic at McGill University where he holds the position of Professor in the Department of Bioengineering and serves as Canada Research Chair tier-1 in Bioprocessing of Viral Vaccines. He was recently nominated as Researcher Emeritus by the National Research Council of Canada, following his tenure as head of the Process Development section of the Human Health Therapeutics Portfolio and Lead of the Bioprocessing and Manufacturing of the Vaccine Program at NRC until early 2014. Professor Kamen's academic credentials include a PhD in Chemical Engineering from École Polytechnique de Montréal (1991), a Docteur-Ingénieur in Chemical Engineering from École Nationale Supérieure des Mines (1983), and an Ingénieur degree in Industrial Chemistry from École Supérieure de Chimie Industrielle Lyon, France (1979). Before joining the National Research Council in 1991, he was a professor of mass-transport phenomena and reactor design. His research program focuses on the bioprocessing of viral vaccines and vectors, with particular expertise in viral vector technology, vaccine development, and mammalian and insect cell technologies. Professor Kamen leads the Viral Vectors and Vaccines Bioprocessing Group, which examines how viral vaccine production can be accelerated through understanding cell-virus interactions and cellular metabolic states. His multi-dimensional bioengineering approach addresses scientific and engineering challenges at molecular, cellular, and bioreactor scales to develop fully integrated processes for viral vector production. The group maintains strategic focus on cell culture in suspension and serum-free medium using HEK-293 and insect cell-baculovirus systems as hosts for recombinant protein and viral vector expression. Professor Kamen's extensive publication record demonstrates leadership across multiple viral platforms including adenoviral, adeno-associated, baculovirus, and lentiviral vectors. His recent work emphasizes process intensification, analytical technologies, and stability of viral vectors, addressing both fundamental science and practical manufacturing challenges for clinical applications. His research has direct implications for improving vaccine manufacturing efficiency and scalability for pandemic response. Canada Research Chair tier-1 in Bioprocessing of Viral Vaccines Researcher Emeritus of the National Research Council of Canada Professor Kamen has supervised numerous graduate students and research personnel in developing viral-based treatments and prevention strategies. His work bridges academic research and industrial application, with bioprocess designs transferred to Canadian and international organizations. He teaches advanced courses including BIEN 590: Cell Culture Engineering and BIEN 340: Transport Phenomena in Biological Systems, training the next generation of bioengineers in critical vaccine manufacturing technologies. The Viral Vectors and Vaccines Bioprocessing Group develops novel designs for soft and hard probes for real-time monitoring of animal cell physiological states during bioreactor operations, advancing process analytical technologies for viral vector manufacturing. Their work supports the translation of discoveries in vaccines and gene therapy into commercialized products that significantly improve public health outcomes.
Prof. Dr. Tobias Ullmann has served as Full University Professor (W2) for Remote Sensing in Geography at the Department of Remote Sensing, University of Würzburg since October 2022. His research integrates Earth observation archives with physical geographic investigations, focusing on polar, semiarid, and arid regions using SAR data, multispectral optical satellite imagery, and digital terrain models. Key projects include climate change impact assessment, interdisciplinary cooperation with biology/ecology fields, and UAV-based environmental data collection. PhD from University of Würzburg (2011-2015) Habilitation at University of Würzburg (2021) Research interests span: Multi-sensor approaches for tropical climate-landscape interactions (Pol)(In)SAR classification/change detection techniques Periglacial dynamics in alpine/polar regions Machine learning and cloud processing applications Recent publications highlight: 2025 work on landscape-scale SAR phenology analysis 2024 NDVI time series for East African crop systems 2023 Arctic snowmelt and wildfire modeling Current affiliations: Chair of Remote Sensing, University of Würzburg Earth Observation Research Cluster Faculty of Philosophy, Institute of Geography and Geology
Dr. Paul Bodesheim serves as a Postdoctoral Researcher and Lecturer in the Computer Vision Group at Friedrich Schiller University Jena's Department of Mathematics and Computer Science. He is also a member of ELLIS (European Laboratory for Learning and Intelligent Systems) and ELLIS Unit Jena. His academic journey began with Computer Science studies at Friedrich Schiller University Jena, focusing on Digital Image Processing and Computer Vision, followed by PhD research on "Discovering unknown visual objects with novelty detection techniques." Dr. Bodesheim's research interests center on bridging computer vision with biodiversity applications. His work spans visual object recognition, fine-grained recognition techniques specifically applied to biodiversity research, novelty detection and open set recognition, and active learning approaches for lifelong learning systems. He has developed approaches that address challenges of learning from small and imbalanced datasets, which are particularly valuable in ecological monitoring where data collection can be challenging. His publication record reveals a strong trend connecting computer vision methodologies with biodiversity monitoring applications. A significant portion of his recent work focuses on automated visual monitoring systems for insects and mammals, particularly using camera traps for biodiversity assessment. His research demonstrates how techniques like deep learning, few-shot learning, and uncertainty quantification can be effectively applied to ecological challenges such as species identification and population monitoring. Best Paper Award at DeLTA 2024 (Few-Shot Learning with Novelty Detection) Best Paper Award at Anomaly Detection Workshop of ICML 2016 Best Poster Award at FEAST Workshop of ICPR 2014 Best Paper Honorable Mention Award at ACCV 2012 Dr. Bodesheim has supervised numerous theses across bachelor's, master's, and diploma levels, focusing on applications of computer vision to biodiversity monitoring. His research is supported by various projects including LEPMON (Monitoring Biodiversity of Moths), InsectAI (EU COST Action Network), and previously BACI and AMMOD projects. He serves as a reviewer for prestigious journals and conferences including IEEE TPAMI, JMLR, and CVPR workshops. He leads the Computer Vision and Machine Learning team within the Computer Vision Group and contributes to the development of the AMMOD (Automated Multisensor station for Monitoring of species Diversity) system, which integrates multiple sensor technologies for comprehensive biodiversity monitoring. His work demonstrates a strong commitment to developing practical computer vision solutions for pressing ecological challenges.
Manuela Zude-Sasse is a Research Professor at the Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) in Potsdam, Germany, and former Professor at Beuth University of Applied Sciences Berlin (2009–2017). As Working Group Leader for Precision Horticulture, she focuses on spectro-optical measurement methods (LiDAR, hyperspectral analysis) for fruit quality assessment, canopy modeling, and data science applications in bioeconomy. M.Sc. in Chemistry/International Agronomy (1996, TU Berlin) Ph.D. in Horticulture summa cum laude (1999, TU Berlin) Habilitation in Applied Plant Physiology (2004, Humboldt University) Her research spans Precision Fruit Production , Plant Phenotyping , and 3D Sensor Integration , with projects like CrackSense (fruit cracking prediction) and horDIGrow (resource-efficient horticulture). She employs LiDAR, hyperspectral imaging, and time-resolved fluorescence to analyze temperate and tropical fruits. Recent publications in Plant Phenomics and Horticulturae demonstrate her work on spatial chlorophyll estimation via LiDAR and fruit water stress indices. Her studies in the Journal of Food Engineering (2024) and Postharvest Biology and Technology (2023) highlight machine learning applications for ripeness detection and 3D canopy analysis. Technology Transfer Award (State of Brandenburg, 2003) Silver Medal for Innovation (Agritechnica, 2017) She leads the SMART Farming Technology Research Center (SFTRC) collaboration in Malaysia and serves on editorial boards for Plant Phenomics , International Agrophysics , and Biosystems Engineering . Her 3D point cloud methodologies enable non-contact fruit biomechanics and nutrient management studies.
Robert Nawrocki is an Associate Professor at Purdue University's School of Engineering Technology (SoET), specializing in organic electronics, bioelectronics, and neuromorphic systems. His research focuses on developing ultra-thin, flexible, and biocompatible electronic devices for biopotential monitoring, soft robotics, and smart materials. Education: PhD in Engineering (2014) and M.S. in Computer Engineering (2011) from the University of Denver; B.S. in Computer Engineering from NJIT (2004). Key Research Areas: Physically flexible organic electronics, neuromorphic systems, piezoelectric/chemical sensors, and soft robotics. His work has advanced 3D-printed functional materials, including the world's thinnest organic electronics skin (sub-300 nm) with tactile sensors and polymer neuromorphic circuits capable of pattern recognition. Recent publications emphasize applications in precision agriculture, wearable healthcare monitoring, and hardware-level spiking neural networks. He has received prestigious awards such as the 2021 Office of Naval Research Young Investigator Award and 2021 Ralph W. and Grace M. Showalter Research Trust Award. Scientific Awards: 2021 ONR Young Investigator 2021 Showalter Research Trust 2023 Collins Aerospace & USDA IEEE Best Paper Award (2011) Advising: Mentors current PhD and Master's students in organic electronics and neuromorphic systems. Labs: Leads the Laboratory of Organic Bio-Electronics (LOBE), a hub for interdisciplinary research in bio-compatible sensors and printed electronics.
Gilles Delmaire is an Associate Professor specializing in signal processing, hyperspectral imaging, and environmental science. His research spans topics like super-resolution hyperspectral multisensor fusion , tensor decomposition , and butterfly species classification using advanced computational methods. Key research areas: Signal Processing, Remote Sensing, Environmental Science, and Machine Learning. Recent work focuses on hyperspectral data restoration , insect tracking algorithms , and air quality analysis in Mediterranean regions. Collaborations include institutions in France, Greece, Portugal, and Cyprus, with publications in IEEE, Pattern Analysis and Applications, and Science of the Total Environment.
Antti Lajunen is an Associate Professor at the Department of Agricultural Sciences , Faculty of Agriculture and Forestry , University of Helsinki . His research focuses on farming automation , remote sensing , sensor data fusion , and vehicle simulation . Supervisor for Doctoral Programmes: Interdisciplinary Environmental Sciences and Sustainable Use of Renewable Natural Resources Research fields: Agronomy (Field of Science 4111), Mechanical Engineering (Field of Science 214), and Other Agricultural Sciences Recent projects include: Electrification of Non-Road Mobile Machinery (2018, Invited Talk) Smart Farming K2 Erasmus Project (2017-2021) Automated Soil and Crop Measurement (2020-2022, Research Council of Finland) Meidän Data Ecosystem (2024-2026, Business Finland funded) His 33 research outputs include studies on: Agricultural robot energy efficiency Deep learning for crop and soil analysis UAV-based vegetation monitoring Thermal management in electric vehicles
Michael Schaepman is a Professor of Remote Sensing at the Department of Geography , University of Zurich , where he leads the Remote Sensing Laboratories. He also serves as Vice President of Research at UZH. His career includes leadership roles at Wageningen University and postdoctoral research at the University of Arizona.
Mats Eriksson is a Senior Associate Professor at Linköping University’s Department of Physics, Chemistry and Biology (IFM). He leads the Sensor and Actuator Systems (SAS) division’s research group focused on Chemical and Biosensor systems, integrating fundamental discoveries with real-world applications in collaboration with industry and societal partners. Research Areas: Electronic tongues for drinking water monitoring Smart bandages with integrated sensors and drug delivery Laser-induced papertronics for flexible electronics Optical pathogen detection (E. coli) Academic Leadership: Security Link Strategic Research Area steering committee (2010–present) DRICKS drinking water research platform management (2022–present) Former National Drinking Water R&D network member (2012–2015) Former Director of S-SENCE research center (2007–2011) Teaching Contributions: Examiner/lecturer for 4,000+ students in physics courses Doctoral curriculum development and teaching innovations Doctoral-level supervision and examination
Anna Kis is a Research Fellow at the Institute of Geography and Earth Sciences , Eötvös Loránd University , with affiliations to the Department of Meteorology and Center of Earth Sciences . Her work focuses on regional climate modeling, drought and flood risk analysis, and hydrological simulations using CORDEX and CMIP6 datasets. Research Themes : Climate change projections, bias correction of climate data, snowpack dynamics, phenology modeling, and agro-environmental impacts. Geographic Scope : Carpathian Basin, Central/Eastern Europe, with emphasis on Hungary and Serbia. Methodological Expertise : Statistical analysis of climate indices, regional climate modeling, and multisensor data integration. Her publications highlight trends in meteorological extremes, including droughts, floods, and temperature variations, using advanced climate datasets and modeling frameworks.
Vladimír Kubelka is a robotics researcher specializing in sensor fusion , localization , and state estimation for mobile ground robots operating in harsh environments . He is currently a postdoc at the Robot Navigation and Perception Lab (RNP) at Örebro University , focusing on winter conditions and radar-based navigation . Previously, he was a postdoc fellow at Laval University's NORLAB , where he worked on DARPA Subterranean Challenge systems. Education: Ph.D. in Artificial Intelligence and Biocybernetics (2018), Czech Technical University in Prague (CTU) Ing. in Cybernetics and Robotics (Air and Space Systems) (2013), CTU Bc. in Electrical Engineering (Cybernetics and Measurement) (2011), CTU His research focuses on data fusion and localization algorithms for robots in adverse conditions including darkness, smoke, unstable terrain , and deep snow . He has contributed to radio propagation modeling , point cloud registration , and robust sensor integration . Recent publications highlight advancements in GNSS satellite visibility prediction , extreme motion lidar registration , and winter navigation systems . Collaborations include the CTU-CRAS-NORLAB team in the DARPA challenge. Scientific Awards: Best Robotic Vision Paper Award (2020) He has participated in EU-funded projects NIFTi and TRADR , focusing on real-world search and rescue deployments . His work addresses challenges like sensor outages and semi-structured environments .
