Paul Boniol is a researcher at Inria, affiliated with the VALDA project-team—a collaboration between Inria Paris, École Normale Supérieure, and CNRS. His work focuses on time series analytics, anomaly detection, and machine learning applications. Ph.D. in Computer Science and Applied Mathematics (University of Paris, EDF R&D) Visiting Ph.D. at University of Chicago Education: Grenoble INP ENSIMAG Engineering School Research interests span: Unsupervised anomaly detection in large time series Time series management systems Machine learning for predictive maintenance Graph-based time series analysis Explainable AI for temporal data Recent publications emphasize advancements in: Weakly supervised anomaly localization Graph embedding techniques Model selection frameworks Interactive visualization tools Smart meter data analysis Scientific recognition: Paul Caseau Thesis Prize 2022 Lambdamu Congress Research-Industry Prize 2022 BDA & INFORSID Ph.D. Prizes 2022
Giovanni Maria Farinella is a Full Professor at the Department of Mathematics and Computer Science, University of Catania, Italy. He is the Founder Member of the IPLAB Research Group at University of Catania since 2005, an Associate Member of the Computer Vision and Robotics Research Group at University of Cambridge since 2006, and an Associate Member of the Italian National Research Council since 2018. He serves as Scientific Advisor of the NVIDIA AI Technology Centre and board member of the CINI Laboratory of Artificial Intelligence and Intelligent Systems. Dr. Farinella obtained his degree in Computer Science (summa cum laude) from the University of Catania in 2004 and was awarded a Doctor of Philosophy (Computer Vision) from the same institution in 2008. He has obtained the National Scientific Qualification to Associate Professor in 2013-2014 and to Full Professor in 2018. His primary research interests focus on First Person (Egocentric) Vision, Computer Vision, Pattern Recognition, and Machine Learning. Dr. Farinella has pioneered research in egocentric video analysis, object interaction detection, activity recognition, and scene understanding from a first-person perspective. His work bridges theoretical computer vision with practical applications in industrial settings, healthcare, and cultural heritage sites. His recent publications demonstrate a clear trajectory toward more sophisticated, real-time egocentric vision systems capable of understanding complex human activities, anticipating actions, and detecting procedural mistakes through integration of visual analysis, gaze tracking, and large language models. Dr. Farinella has published extensively in top-tier computer vision venues, with his most recent work focusing on egocentric action anticipation, mistake detection in procedural tasks, and the integration of multimodal large language models with visual understanding. His research shows strong emphasis on practical industrial applications while advancing fundamental computer vision techniques. PAMI Mark Everingham Prize 2017 Intel's 2022 Outstanding Researcher Award Dr. Farinella has served as Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition - Elsevier, and International Journal of Computer Vision. He has held leadership roles as Area Chair for CVPR 2020/21/22/23, ICCV 2017/19/21/23, ECCV 2020, and as Program Chair of ECCV 2022. He founded and directs the International Computer Vision Summer School (since 2006) and the Medical Imaging Summer School (since 2014). As PI of the EGO4D project, he helped create one of the largest egocentric video datasets with over 3,670 hours of footage from 923 participants across 74 locations worldwide. His IPLAB research group leads multiple significant projects including VALUE, ENIGMA, and FIPEVIS, with strong industry collaborations.
Dr. Elisabeth Hein is a Scientific Assistant and Post-doctoral Fellow at the Evolutionary Cognition Research Group within the Department of Psychology, Faculty of Science, University of Tübingen. She holds a PhD in Psychology (2006, University of Tübingen) and a Master’s in Cognitive and Experimental Psychology (2002, Université Louis Pasteur, Strasbourg). Her research focuses on object cognition , visual perception , and the role of attention and features in resolving motion correspondence in dynamic displays. She has secured multiple competitive grants from the Deutsche Forschungsgemeinschaft (DFG) and the Volkswagen-Stiftung . Education : PhD in Psychology, University of Tübingen (2006) Master’s in Cognitive and Experimental Psychology, Université Louis Pasteur, Strasbourg (2002) Licence in Psychology, Université Louis Pasteur, Strasbourg (2001) Her recent work explores cross-modal correspondence (auditory-visual parallels), scene-based motion processing , and the neural mechanisms of attention in perceptual integration. She has authored peer-reviewed publications in journals like Journal of Experimental Psychology , Attention, Perception & Psychophysics , and Journal of Vision . Scientific Awards : 2020 DFG Continuation Research Grant 2014 DFG Research Grant 2008 Volkswagen-Stiftung Fellowship 2002-2005 DFG Graduate Fellowship Elisabeth Hein serves as a peer reviewer for journals including Acta Psychologica and Psychonomic Bulletin & Review , and has organized conferences and committees such as the Vision Sciences Society and European Conference on Visual Perception . She also contributes to student advisory services and academic governance at the University of Tübingen.
Prof. Dr. Barbara A. J. Lechner is a Professor of Functional Nanomaterials at the Technical University of Munich (TUM), holding her position within the Department of Chemistry at the TUM School of Natural Sciences. Appointed as a Rudolf Mößbauer Professor in October 2020, she leads an active research group investigating dynamic processes in functional nanomaterials under realistic conditions. Her work bridges surface science, catalysis, and nanotechnology with significant funding through prestigious grants including an ERC Starting Grant. Prof. Lechner's educational background includes a Mag. rer. nat. in Chemistry from the University of Innsbruck (2008) followed by a PhD in Physics from the University of Cambridge. Her postdoctoral work was conducted at the Lawrence Berkeley National Laboratory under Prof. Miquel Salmeron before she became a group leader at TUM's Chair of Physical Chemistry in 2016. Her research program focuses on understanding dynamic restructuring processes in functional nanomaterials, particularly model catalysts in reactive gas atmospheres. Using time- and space-resolved scanning tunneling microscopy directly in gas mixtures, her group investigates how metal particle and oxide support structures change and influence material functionality. A key innovation is their use of size-selected clusters with precisely defined atom counts to isolate specific structural effects. Her group also employs synchrotron-based X-ray photoelectron spectroscopy for complementary chemical information. Analysis of Prof. Lechner's recent publications reveals a strong focus on atomic-scale dynamics in catalytic systems, with particular emphasis on iron oxide and platinum-based catalysts. Her work increasingly combines advanced microscopy techniques with computational approaches to understand restructuring mechanisms. Notable trends include investigations of strong metal-support interactions (SMSI), cluster encapsulation effects, and the role of lattice oxygen in catalytic processes. Her 2023-2025 publications demonstrate growing interest in 2D materials and their stability on metal surfaces. Dozentenpreis des Fonds der Chemischen Industrie (2023) ERC Starting Grant (2019) Stipendium im Jungen Kolleg der Bayerischen Akademie der Wissenschaften (2018) Marie Skłodowska Curie Stipendium (2017) Max Auwärter Preis (2016) Springer Thesis Prize (2013) Prof. Lechner leads two major research projects: TACCAMA (Atomic-Scale Motion Picture: Taming Cluster Catalysts at the Abyss of Meta-Stability, 2020-2026), an ERC-funded project focusing on atomic-scale motion in cluster catalysts, and CRC1441 (Tracking the Active Site in Heterogeneous Catalysis for Emission Control, 2021-2024), which investigates active sites in catalytic emission control systems. Her teaching includes experimental methods in physical chemistry and research practicums, indicating active student mentorship though specific advisees aren't listed in the available materials. Her laboratory specializes in advanced surface characterization techniques, particularly movie-rate scanning tunneling microscopy (STM) capable of operating at elevated temperatures and near-ambient pressures. This unique capability allows her team to observe dynamic processes in reactive gas atmospheres, providing unprecedented insights into catalyst restructuring during operation. The group also maintains strong collaborations with synchrotron facilities for complementary X-ray photoelectron spectroscopy measurements.
Pavel Zemcik serves as a Visiting Professor in the Computational Engineering department at the School of Engineering Sciences, Lappeenranta University of Technology (LUT). His academic work spans multiple domains within computer science with a strong emphasis on visual computing technologies. Dr. Zemcik's research interests encompass a broad spectrum of visual computing disciplines, including computer graphics, computer vision, machine vision, and image processing. His work particularly focuses on light field rendering techniques, 3D display technologies, and advanced wavelet transform applications. He has made significant contributions to GPU acceleration methods for real-time visual processing and has explored applications in both industrial settings and medical imaging. Analysis of his recent publication trends reveals a concentrated research trajectory in light field technologies and 3D display systems over the past five years. His work demonstrates increasing sophistication in handling visual quality metrics, focus management, and compression techniques specifically tailored for 3D displays. The research shows strong interdisciplinary connections between computer graphics, signal processing, and human perception studies. His scholarly output demonstrates consistent productivity across multiple high-impact venues in computer graphics and computer vision. While specific grant information isn't detailed in the available materials, his publication pattern suggests sustained research funding supporting his work in visual computing technologies.
Roozbeh Mottaghi is a Senior AI Research Scientist Manager at Meta's Fundamental AI Research (FAIR) group and an Affiliate Associate Professor at the Paul G. Allen School of Computer Science & Engineering at the University of Washington. His work bridges academic research and industrial AI development, focusing on embodied artificial intelligence, robotics, and computer vision. Dr. Mottaghi received his Ph.D. in Computer Science from UCLA under the supervision of Alan Yuille. He completed his Master's degrees at Simon Fraser University and Georgia Institute of Technology, and earned his Bachelor's degree from Sharif University of Technology. Prior to his current positions, he was a Postdoctoral Researcher at Stanford University and Research Manager of the PRIOR team at the Allen Institute for AI. Dr. Mottaghi's research focuses on embodied AI , where agents learn to interact with and understand their physical environments. His work spans robotics , computer vision , and human-robot interaction , with particular emphasis on 3D scene understanding, visual reasoning, and language-vision integration. His research addresses fundamental challenges in how AI systems can perceive, navigate, and manipulate the physical world through embodied experiences. His recent publications demonstrate a strong trend toward increasingly sophisticated embodied AI systems capable of complex multi-agent collaboration, open-vocabulary understanding, and human-like reasoning about physical environments. His work bridges simulation and real-world robotics, with significant contributions to benchmark creation and standardized evaluation frameworks for embodied AI. Dr. Mottaghi's work has been recognized with several prestigious honors including: Outstanding Paper Award at NeurIPS 2022 Multiple oral presentations at top-tier conferences (CVPR, ICCV) Spotlight presentations at major computer vision conferences Dr. Mottaghi has mentored numerous students and researchers, including PhD students and Pre-doctoral Young Investigators. His advising style emphasizes both theoretical rigor and practical implementation, preparing students for successful careers in both academia and industry. His work has been supported by significant research funding from Meta and previously from the Allen Institute for AI. Dr. Mottaghi has been instrumental in developing AI2-THOR, RoboTHOR, and Habitat simulation platforms, which have become standard tools in the embodied AI research community. His leadership in the PRIOR team at AI2 and currently at Meta's FAIR has driven significant advances in how AI systems understand and interact with the physical world.
Filipp Schmidt is a Post-Doctoral Research Fellow at the Department of General Psychology within the Department 06 Psychology and Sports Science of Justus-Liebig-Universität Gießen. His research focuses on visual perception and cognition, particularly how humans integrate perceptive features into unified environmental representations through computer graphics, psychophysics, and modeling. PhD from Technische Universität Kaiserslautern (2014) Diploma in Psychology from Justus-Liebig-Universität Gießen (2009) Research interests span material recognition, shape transformations, and perceptual organization of naturalistic materials. Current projects combine behavioral experiments, machine learning, and fMRI to decode material categorization hierarchies and visual-semantic interactions. Recent publications analyze wood material perception (2023), gloss prediction (2024), animacy inference from shape (2017), and one-shot generalization via drawing tasks (2022). Collaborates with Prof. Roland W. Fleming on DFG-funded project C1. Email: Filipp.Schmidt@psychol.uni-giessen.de Advises PhD students Henning Tiedemann and Emily A-Izzeddin. Uses big data approaches to train machine learning models for material properties.
Dr. Greg Davis is an Associate Professor in the Department of Psychology at the University of Cambridge. As a principal investigator affiliated with Cambridge Neuroscience, he leads research in adaptive brain computations, focusing on visual attention, unconscious processing, and their applications in security contexts. His work also explores visual perception differences in autism and the intersection of cognitive neuroscience with real-world applications. University of Cambridge Department of Psychology Cambridge Neuroscience Dr. Davis' research spans fundamental and applied cognitive neuroscience. Key areas include: Visual attention and search mechanisms Unconscious perceptual processing Autism spectrum disorder perception Security applications of visual cognition Neural correlates of social perception Human factors in threat detection His recent publications examine advanced imaging techniques for security screening, attentional biases in gaze detection, and neural mechanisms underlying visual suppression. These works bridge cognitive theory with practical implementations in airport security and autism research.
Dr. Kimberly Chan is an Assistant Professor and FIRST scholar at UT Southwestern Medical Center, jointly affiliated with the Advanced Imaging Research Center and the Department of Biomedical Engineering. Her work bridges biomedical engineering and clinical neuroscience through the development of advanced magnetic resonance spectroscopy (MRS) techniques. Research Interests: Dr. Chan's research centers on the development and application of novel MRS methods to study brain chemistry in neurological and psychiatric disorders. Her work focuses on spectral editing, metabolite quantification (e.g., GABA, glutathione), motion correction, and multi-site reproducibility. She aims to improve diagnosis, disease monitoring, and treatment planning through non-invasive neurochemical profiling. Publication Trends: Her recent publications demonstrate a strong focus on methodological innovation in MRS, including Hadamard encoding (HERMES, HERCULES), multi-metabolite detection, motion correction, and standardization across scanners and sites. These techniques are applied to conditions such as Huntington’s disease, Lafora disease, spinal cord injury, and cancer, showing translational impact. Scientific Awards: First Scholar Advising and Grants: As principal investigator of the CHAN Lab (Chemical Advanced Neuroimaging Lab), she mentors graduate students and postdoctoral fellows. She is actively recruiting and likely holds independent research funding, supported by her FIRST scholar status. While specific grants and advisees are not listed, her leadership role indicates active research supervision and extramural funding. Labs and Teams: Dr. Chan leads the CHAN Lab, a multidisciplinary team of biomedical engineers and imaging scientists focused on advancing MRS for clinical applications. The lab collaborates widely, as evidenced by multi-center studies like Big GABA, involving over 25 research sites globally.
David O'Carroll is a Professor in Sensory Biology at the Department of Biology, Lund University, Faculty of Science. His research centers on visual processing in insect brains, using electrophysiological methods and computational modeling to understand motion detection and attention mechanisms. He is particularly known for his work on dragonflies and hoverflies, revealing complex neural functions once thought unique to mammals. University: Lund University School: Faculty of Science Department: Department of Biology Position: Professor Email: david.ocarroll@biol.lu.se His research explores how insect brains efficiently process visual information despite their small size. Using nanoelectrodes, he investigates neural circuits in the optic lobe, focusing on target detection, motion tracking, and sensory adaptation. His interdisciplinary work bridges neuroscience and engineering, contributing to bio-inspired technologies such as collision avoidance systems and artificial vision chips. Collaborations extend to neural stem cell research for developing bionic interfaces. The most recent articles show a strong focus on temperature-dependent neural tuning, long-term adaptation in visual neurons, photoreceptor sensitivity in wasps, and the neurotoxic effects of pesticides like imidacloprid on pollinators. These studies reflect a dual interest in fundamental neurobiology and ecological implications. David O'Carroll actively supervises graduate students and leads multiple research projects, including dissertations on electrophysiology, optical mapping, and pesticide effects. He has recently participated in the International Conference on Invertebrate Vision and hosted visiting researchers such as Andrew D. Straw. His work contributes to UN Sustainable Development Goals related to life on land and responsible innovation. Modulation of motion-detecting neurons by odors and pesticide exposure (supervision of master’s student) Hosting and collaboration with international researchers Active supervision of PhD candidates on visual physiology and neurotoxicology He is involved in interdisciplinary research teams focusing on sensory biology, neural computation, and pollinator health, with ongoing projects exploring electrophysiological responses, optical mapping across species, and the impact of sublethal pesticide exposure on insect behavior and ecosystem function.
BOHI Amine is a researcher at CESI (School of Engineering and Digital Tools, Department of Computer Science), with a PhD in Computer Science from the University of Toulon (2017). His academic profile spans disciplines including Machine Learning, Signal and Image Processing, and Biomedical Engineering, with a focus on applications in Digital Health and Human-Robot Interaction. Education : PhD in Computer Science (University of Toulon, 2013-2017); Master 2 in Computer Science (University of Fes, Morocco, 2009-2011); Bachelor’s in Mathematical and Computer Sciences (University of Fes, 2006-2009). His research interests include: Machine Learning and Deep Learning Signal and Image Processing 3D Shape Analysis Computer Vision Digital Health Biomimetic Feature Design BOHI’s publications reflect expertise in facial emotion recognition for elderly care, cortical folding modeling, and soft tissue organ deformation analysis using MRI. He supervises diverse research internships, mentoring students from institutions like Sorbonne Paris Nord, Université de Technologie King Mongkut, and INP Grenoble. Current projects involve developing intelligent solutions for emotional interaction with elderly individuals suffering from neurodegenerative disorders, in collaboration with VyV3 Bourgogne. He also contributes to the design of multimodal datasets and wearable health monitoring systems. BOHI’s technical work includes contributions to maritime surveillance systems (PARE project) and semantic information platforms, demonstrating a capacity to bridge theoretical research with practical applications across domains.
Frédéric Dufaux is a CNRS Research Director at Université Paris-Saclay, affiliated with CentraleSupélec and the Laboratoire des Signaux et Systèmes (L2S), where he heads the Telecom and Networking hub. He holds an M.Sc. in Physics (1990) and a Ph.D. in Electrical Engineering (1994) from the Swiss Federal Institute of Technology (EPFL). With over 20 years of research experience, he previously worked at EPFL, MIT, and industry leaders including Compaq and Digital Equipment. His research spans: Fundamental video coding techniques and 3D video systems High dynamic range imaging and perceptual quality assessment Privacy-preserving video surveillance and multimedia content analysis Wireless video transmission and next-generation compression standards Recent publications focus on HDR compression optimization, semantic video coding using seam carving, distributed video coding with machine learning, and 3D video standardization, demonstrating consistent innovation in video processing architectures and perceptual quality enhancement. Awards & Honors: IEEE Fellow Two ISO Awards for contributions to JPEG 2000 wireless (JPWL) and JPSearch standards He leads multiple standardization initiatives in MPEG/JPEG committees and has held editorial leadership roles including Editor-in-Chief of Signal Processing: Image Communication (2010-2019). He chairs the EURASIP Technical Area Committee on Visual Information Processing and has organized major conferences including ICIP and MMSP.
Robert J. Nemiroff , University Professor of Physics at Michigan Technological University's College of Sciences and Arts , is a distinguished astrophysicist and Fellow of the American Physical Society. Known for co-creating the Astronomy Picture of the Day (APOD) in 1995 and founding the Astrophysics Source Code Library (ASCL) in 1999, he has significantly advanced open science and public engagement. His research spans gamma-ray bursts, gravitational lensing, and cosmological constraints, with a focus on relativistic effects and observational innovation. Education PhD in Astronomy and Astrophysics, University of Pennsylvania Research Interests Nemiroff's work explores gamma-ray bursts as cosmological probes, gravitational lensing phenomena, and relativistic illumination fronts to orient nebulae. He pioneered CONCAMs , fisheye cameras deployed globally for all-sky monitoring, and investigated unconventional ideas like ultralight energy and dark energy-Higgs connections . His recent studies include Cherenkov radiation coherence and AI-generated astronomical imagery. Scientific Awards NSF CAREER Award (1997) MTU Research Award (2012) MTU University Professor (2021) Exceptional Graduate Mentor Award (2021) Advising and Grants Mentoring eight PhD students, including Bijunath Patla (Harvard) and Lior Shamir (Lawrence Tech), Nemiroff emphasized collaborative research. His NSF-funded projects included deploying CONCAMs at major observatories and developing the ASCL, which now lists 2600+ codes. He also led interdisciplinary efforts to post free online courses like 'Physics X' and 'Astro 101'. Labs and Teams He led the Night Sky Live (NSL) project, creating a global network of fisheye cameras for cloud and transient monitoring. The ASCL, now housed at MTU, remains a critical resource for code transparency. His work often involved partnerships with NASA, Kitt Peak, and institutions in Thailand, Chile, and Israel.
Marina Kounkel is an Assistant Professor in the Physics and Astronomy Department at the University of North Florida. Her research focuses on observing dynamics of young stars and investigating the clumpy process of star formation across various scales, from individual stellar systems to the distribution of star-forming regions across the Milky Way Galaxy. Dr. Kounkel's research interests include stellar kinematics, star formation processes, Galactic astronomy, and the analysis of large astronomical surveys. She utilizes data from the Gaia space telescope (measuring positions of over 1.6 billion stars) and spectroscopic surveys like SDSS-V APOGEE to identify kinematically coherent groups of stars that likely formed together from the same molecular cloud. Her work aims to reconstruct the initial conditions that influenced star formation, including events like supernovae, cloud-cloud collisions, and gravitational feedback. Her research program examines how star-forming structures have formed, how they will evolve over time, and what fundamental properties can be inferred from stellar kinematics. She emphasizes the importance of better understanding stellar properties (masses, radii, temperature, rotation rate, magnetic activity) as these parameters allow for more precise age determinations, which in turn enable reconstructions of Galactic history. Featured as cover of 'Sound of Interstellar Space' music album by TRIFID Dr. Kounkel has developed interactive visualization tools for exploring stellar structures, including 2D projections, HR diagrams, and 3D maps of moving groups. She continues to advance our understanding of Galactic archaeology through careful analysis of stellar ages and motions.
Christof Migone is an Associate Professor in the Department of Visual Arts at Western University within the Faculty of Arts and Humanities. He holds a Ph.D. from New York University (2007), an M.F.A. from Nova Scotia College of Art and Design (1996), and a B.A. from Concordia University (1991). Ph.D., New York University, 2007 M.F.A., Nova Scotia College of Art and Design, 1996 B.A., Concordia University, 1991 Migone's research focuses on the intersections of sound, voice, language, and the body within performance contexts. His work explores themes of intimacy, complicity, and endurance, often pushing boundaries between artistic disciplines. He has developed a distinctive approach that blends theoretical inquiry with artistic practice, particularly in the realm of sound art where he examines how voice and language function beyond conventional communication. His practice spans performance, installation, writing, and curation, creating a rich ecosystem of artistic engagement that extends beyond traditional academic boundaries. His publications and artistic output demonstrate a consistent exploration of sonic phenomena and their relationship to embodiment and social dynamics. Over his career, Migone has evolved from early radio and performance works to increasingly complex installations and collaborative projects that investigate the materiality of sound and its cultural implications. His recent work shows a maturation of themes around water, voice, and collaborative processes, particularly evident in his ongoing 'Swan Song' series with Marla Hlady and the 12-year 'You And I Are Water Earth Fire Air Of Life And Death' project. Exhibition Award for 'Volume: Hear Here' (2013) Exhibition Award for 'Seripop: Landscapes Events Reproducted' (2012) Michael Kirby Memorial Prize for Distinguished Doctoral Dissertation (2007) Migone has received commissions from prestigious institutions including the Tate Modern, Kunstradio, Centre for Art Tapes, and New Adventures in Sound Art. He is known for mentoring emerging artists through his curatorial projects and has collaborated extensively with fellow artists including Marla Hlady, Alexandre St-Onge, and others. As a founding member of Avatar (Québec City) and co-founder of Squint Press with Alexandre St-Onge, Migone has been instrumental in building artistic communities and platforms for experimental work. Currently, he is developing a 12-year curatorial project that demonstrates his commitment to long-term artistic exploration. His practice spans performance, installation, writing, and curation, creating a rich ecosystem of artistic engagement that extends beyond traditional academic boundaries. Through his work with the Blackwood Gallery and other institutions, Migone has established himself as a significant figure in Canadian and international sound art communities.
