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Katharina DobsView profile

Researcher

• Visual Cognition
• Computational Neuroscience
• Face Perception
• +4 more

Dr. Katharina Dobs is a faculty-level researcher at Justus Liebig University Giessen, based in the Department of Psychology and Sports Science and soon moving to the Department of Mathematics & Computer Science. She leads the Visual Cognition & Computational Neuroscience (VCCN) Lab, where she integrates state-of-the-art machine-learning models with human behavioural and neural data to decipher the computations underlying rapid visual scene and face perception. Education & Career: While explicit degree details are not provided, Dr. Dobs currently holds a prestigious LOEWE Start-Professorship and an ERC Starting Grant (DEEPFUNC), underscoring her leading role in computational vision research. Research Interests: Computational principles of human visual perception Functional organisation of the visual cortex Deep neural network models of object and face recognition Integration of facial form and motion cues Temporal dynamics of face perception using MEG and fMRI Across her recent publications, a clear trend emerges toward leveraging deep convolutional networks to explain category-selective responses in the human brain, particularly for faces. Her work repeatedly demonstrates how artificial networks trained on ecologically relevant tasks spontaneously develop brain-like functional specialisation, providing computational evidence against domain-specific expertise hypotheses. Scientific Awards & Funding: ERC Starting Grant “DEEPFUNC” LOEWE Start-Professorship Supervision & Collaboration: Dr. Dobs currently supervises PhD students Elaheh Akbarifathkouhi and Hilal Nizamoglu. She co-leads multiple SFB (Collaborative Research Centre) projects, including Project S “Deep Learning: Unleashing the Potential” with Prof. Roland Fleming and Project C9 “Factors influencing categorical face processing” with Dr. Benjamin de Haas. The VCCN Lab is additionally affiliated with the CRC Cardinal Mechanisms of Perception, the research cluster The Adaptive Mind, the Center for Mind, Brain and Behavior, and the Center for Applied Computer Science and Data Science (ZAD).

• Visual Perception
• Color Vision
• Sensorimotor Integration
• +4 more

Karl R. Gegenfurtner is a Professor of General Psychology at the Department of Psychology, Justus Liebig University Giessen. His research focuses on information processing in the visual system, particularly the interplay between low-level sensory processes, high-level visual cognition, and sensorimotor integration. He investigates how complex scenes are perceived, represented in the brain, and used to drive motor systems, with a specialization in color perception, material property recognition, and eye movement dynamics. Ph.D. in Experimental Psychology, New York University (1990) Diploma in Psychology, University of Regensburg (1986) Habilitation in Medical Psychology and Behavioral Neurobiology, University of Tübingen (1998) His work bridges visual neuroscience with computational modeling, examining color categorization in neural networks, cortical mechanisms of color vision, and dynamic recalibration of visual perception during eye movements. Recent projects include Color 3.0: An object-oriented approach to color (ERC Advanced Grant) and Dynamics in Vision and Touch (Marie Curie Actions). Publications highlight advancements in understanding saccadic suppression, predictive eye movements, and chromatic adaptation timelines. Scientific awards include the Wilhelm Wundt Medal (2016), Rank Prize Funds Lecture (2014), and ERC Advanced Grant (2020–2025). He has served on editorial boards of Journal of Vision , Vision Research , and Perception , and led initiatives like the Neuroscientific Workflow Assistance (NOWA) project. Collaborations span institutions in Germany, the U.S., Australia, and the U.K., with a focus on perception-action loops and neural mechanisms underlying visual stability.

• Design Computing
• Spatial Modeling
• Machine Learning
• +7 more

Sean Hanna is a Professor of Design Computing at The Bartlett School of Architecture , University College London , and a member of the UCL Space Syntax Laboratory . His interdisciplinary work bridges architecture, computational modeling, and machine learning.

• Visual Perception
• Object Recognition
• Visual Crowding
• +7 more

Dr. Ramakrishna Chakravarthi is a Senior Lecturer at the School of Psychology, University of Aberdeen, where he leads the Consciousness, Attention, and Perception (CAP) Lab. His research focuses on the neural processes underlying visual perception, particularly object recognition, attention, short-term memory, and visual crowding. He employs psychophysics, EEG, and computational techniques to investigate fundamental questions about how we perceive and process visual information. Chakravarthi's research interests center on visual crowding as a window into object recognition mechanisms. His work examines how visual features are detected and integrated to form coherent object representations, with particular attention to spatial attention, numerosity processing, and time perception. His lab investigates neural oscillations in attention and awareness, the neural basis of crowding, subitization processes, and time perception using advanced methodologies including Steady State Visual Evoked Potentials, Multivariate Classifiers, and Representational Similarity Analysis. Analysis of his recent publications reveals a consistent focus on visual crowding as a fundamental phenomenon for understanding object recognition. His work spans multiple levels of analysis from behavioral psychophysics to neural mechanisms, with increasing integration of computational approaches. Recent research has expanded into social aspects of perception, particularly social agency and temporal binding in social interactions, while maintaining his core focus on visual processing mechanisms. Dr. Chakravarthi has successfully secured significant research funding, including a £344,000 BBSRC grant as co-PI on 'Neural mechanisms of long-range spatial vision' and multiple smaller grants totaling over £20,000. He has supervised numerous PhD students to completion and currently mentors several doctoral candidates across diverse projects related to visual perception, attention, and consciousness. The CAP Lab, which he directs, is part of the Perception and Attention theme at the University of Aberdeen's School of Psychology. The lab maintains active research programs in visual crowding, attentional mechanisms, object recognition, and time perception, utilizing state-of-the-art psychophysics and EEG facilities. Chakravarthi also coordinates the Perception and Attention group meetings, fostering collaboration among researchers with related interests.

Nunung Nurul HidayahView profile

Associate Professor

• Ethics and Religion in Organizations
• Audit
• Islamic Accounting and Finance
• +2 more

Dr. Nunung Nurul Hidayah is an Associate Professor in Accounting at Southampton Business School , specializing in ethics, religion, and hybrid organizations within accounting and finance. She serves as a senior personal tutor for postgraduate accounting programs and contributes to the school's Ethics Committee . Her interdisciplinary work bridges Islamic finance, auditing practices, and organizational complexity. Education : PhD in Accounting (Aston Business School, funded by IRTI-IDB) Previous Institutions : Lecturer at Aston Business School; Lecturer and Head of Accounting Department at University of Al Azhar Indonesia Her research focuses on ethical governance , religious influence in organizations , and hybrid operational models , particularly in government audit work, philanthropic organizations during crises, transnational academia, and women's leadership challenges. Recent publications analyze emotion in auditing, sustainability assurance gaps, and spiritual dynamics in Islamic finance. Key research trends include: Emotional labor in public sector auditing Hybridity in microfinance and philanthropy Gender dynamics in corporate leadership Shariah compliance mechanisms Temporal structuring in commodity processing Quasi-judicial auditing technologies Scientific recognitions include: Best Researcher 2018 - Aston Business School Journal Business Ethics Best Paper Award (Apira Melbourne 2016) British Accounting Review Social Media Impact Award (2021) She supervises PhD students in business studies and teaches Business Research at undergraduate level, with prior doctoral-level instruction in financial accounting and research design. Her curriculum development spans Islamic finance, accounting frameworks, and IFRS implementation across three institutions.

Kazumi MatsumotoView profile

Associate Professor

• Fluency in Second Language Learners
• Second Language Writing
• Intercultural Competence of Second Language Learners

Kazumi Matsumoto serves as Associate Professor of Japanese within the Department of Modern Languages and Classics at Ball State University's College of Sciences and Humanities. Her academic profile centers on empirical research in second language acquisition with specialized focus on Japanese language pedagogy and learner performance metrics. Her educational credentials include: Ph.D. in Applied Linguistics (Japanese), Purdue University (2010) Dr. Matsumoto's research program investigates fluency development , second language writing , and intercultural competence through rigorous quantitative methodologies. She pioneered the application of computational tools like the Fluency Calculator to objectively measure oral production characteristics, challenging traditional subjective fluency assessments. Her scholarly trajectory reveals evolving methodological sophistication—from early kanji recognition studies examining L1 transfer effects to current corpus-based analyses of oral dysfluency patterns across proficiency levels. This progression demonstrates consistent commitment to objective measurement in second language performance, particularly through computational analysis of learner corpora and tool development for fluency assessment. Dr. Matsumoto's advising activities and grant funding details are not specified in available institutional materials.

Jan SalmenView profile

Researcher

• Machine Learning
• Computer Vision
• Neural Networks
• +3 more

Dr. Jan Salmen is a researcher at Ruhr University Bochum's Faculty of Computer Science, affiliated with the Institute of Neuroinformatics (INI). His work focuses on real-time systems, computer vision, and machine learning. Doctoral thesis: Efficient video-based driver assistance systems Salmen's research spans autonomous driving, traffic sign recognition, stereo vision, and sports analytics. He has contributed to benchmarks in traffic sign detection and soccer analysis. Publications highlight his expertise in image processing, pattern recognition, and sensor fusion for autonomous systems. Key trends include optimization of machine learning algorithms for real-time applications. He collaborates with interdisciplinary teams at INI, which integrates experimental psychology, neurophysiology, and robotics into artificial cognitive systems research.

Jo HerstadView profile

Associate Professor

• Human-Computer Interaction (HCI)
• Universal Design
• Inclusive Technology
• +4 more

Jo Herstad is an Associate Professor in the Department of Information Systems Design at the University of Oslo , where she has worked since 2002. With a background in industry at Ericsson (1990-2003), Herstad bridges technical expertise with academic rigor. She teaches courses including: IN1030 - Introduction to Design, Use, Interaction (since 2017) IN2000 - Software Engineering with Project Work IN5480 - Interaction with AI and Autonomous Systems Research Focus: Her work explores Human-Computer Interaction through: Universal Design principles in digital environments Human-Robot Interaction for domestic applications Inclusive Technology across diverse populations Participatory Design methodologies Privacy Dynamics in smart homes Multimodal Systems for elderly care Key Publications (2017-2024) examine motion profiling in robotics, equitable digital feedback, and socio-technical systems. Her supervision includes 15+ master's theses on topics ranging from chatbot ethics to universal design in education. Current projects focus on: Artificial Intelligence and Sensor Technology Multimodal Elderly Care Systems (MECS) Podcast Accessibility (PUD) RHYME: Music Technology for All

Nicholas WarrenView profile

Professor

• Polymer Science
• Flow Chemistry
• Online Monitoring
• +2 more

Professor Nicholas Warren is a Chair in Sustainable Materials at the School of Chemical, Materials and Biological Engineering at the University of Sheffield. With a PhD from Sheffield and academic experience at Leeds University (2016-2024), his research integrates polymer chemistry with automation technologies. Education: University of Bristol (2005), University of Sheffield (PhD) Academic Positions: Postdoc at Sheffield (2005-2016), University Academic Fellow at Leeds (2016-2024), Associate Professor (2021-2024) Current Role: Chair in Sustainable Materials (2024-present) Research focuses on polymer science with flow chemistry , online monitoring , and artificial intelligence to advance sustainable materials. Key article trends include self-driving laboratories , multi-objective optimization , and nanostructured polymer systems . Scientific recognitions include: 2022 Macro Group UK Young Researchers Medal 2023 RSC Reaction Chemistry & Engineering Outstanding Early Career Paper Award Advisees span current and alumni PhD students like Dr Stephen Knox , Anna Morrell , and Dr Charlotte Pugsley . His team employs self-driving lab platforms that combine robotics, AI, and online analytics for accelerated materials discovery.

• Wireless Communication
• Machine Learning
• Signal Processing
• +4 more

Prof. Dr. Haris Gačanin is a faculty member at RWTH Aachen University, affiliated with the Institute for Distributed Signal Processing under the College of Electrical Engineering. His research focuses on integrating machine learning with wireless communication systems, particularly in industrial IoT, edge computing, and network optimization. Current academic rank: Professor Contact: harisg@dsp.rwth-aachen.de Research Interests: Wireless systems, machine learning, signal processing, and network optimization. Key contributions include: Adaptive resource allocation in IIoT and vehicular networks AI-driven channel estimation and feedback mechanisms Security-oriented emitter identification via metric learning Federated/transfer learning for edge environments Hardware-efficient deep learning models for mmWave and THz communications Methodological Focus: Combines reinforcement learning, attention mechanisms, and robust neural architectures with practical implementations on FPGA and vehicular systems.

• Business Process Management
• Declarative Process Modeling
• Hybrid Process Notations
• +5 more

Tijs Slaats is an Associate Professor in the Software, Data, People & Society section at the Department of Computer Science, University of Copenhagen. His research focuses on Business Process Management with particular emphasis on declarative and hybrid process notations to provide flexible workflow support for knowledge workers, funded by the Danish Council for Independent Research. His educational background includes: M.Sc. in Information Technology from IT University of Copenhagen Ph.D. in Computer Science from IT University of Copenhagen (supervised by Thomas Hildebrandt) Dr. Slaats specializes in declarative process modeling, particularly Dynamic Condition Response (DCR) graphs which enable flexible workflow systems. His work bridges theoretical foundations with practical applications in cross-organizational settings. Recent research extends into blockchain technologies, smart contracts, and applications in sensitive domains like asylum processing and refugee law. He combines formal methods with empirical evaluation to ensure both correctness and usability of workflow systems. His publication pattern shows increasing application of process mining techniques to blockchain technologies and socially impactful domains, while maintaining core research in Business Process Management. Notable trends include integration of DCR graphs with smart contracts, privacy-preserving techniques for asylum data, and object-centric approaches to process discovery. Research funding includes: Hybrid Business Process Management Technologies project (Danish Council for Independent Research) Technologies for Flexible Cross-organizational Case Management Systems (FLExCMS) industrial Ph.D. project Alongside his academic work, Dr. Slaats maintains strong industry connections through Exformatics A/S where he developed the DCR Graphs workflow solution (www.dcrgraphs.net), and previously worked as a software engineer in the Dutch e-commerce sector. His dual expertise in academia and industry ensures his research addresses real-world workflow challenges while maintaining theoretical rigor.

• Human-Computer Interaction
• Wearable Computing
• Augmented Reality
• +5 more

Yuta Sugiura is an Associate Professor in the Department of Information and Computer Science at Keio University's Faculty of Science and Technology. His research focuses on innovative human-computer interaction techniques, particularly in wearable computing, tangible interfaces, and novel input methods. Previously, he worked as a postdoctoral researcher at the National Institute of Advanced Industrial Science. Dr. Sugiura's research interests span Human-Computer Interaction, Wearable Computing, Augmented Reality, Tangible User Interfaces, Gesture Recognition, Ubiquitous Computing, Haptics, and Virtual Reality. His work often explores how everyday objects and environments can become interactive surfaces, with notable projects including the iRing (intelligent ring), SenSkin (skin as interface), and EarHover (mid-air gesture recognition for hearables). He has developed numerous novel interaction techniques that leverage physical properties of materials and human physiology for input and output. His recent publications indicate a strong focus on hearable computing, medical applications of HCI, edible interfaces, and novel authentication methods. The research shows a consistent pattern of exploring unconventional interaction surfaces and leveraging subtle physical phenomena for input sensing. His work has significant implications for healthcare applications, particularly in neurological disorder screening and rehabilitation. Best Paper Award Dr. Sugiura has advised numerous students who have gone on to publish significant work in top-tier HCI venues. His research has been supported by various grants enabling the development of novel interaction techniques and systems. He maintains strong collaborations with researchers across Japan and internationally, particularly in the fields of wearable computing and medical applications of HCI. His laboratory appears to focus on lifestyle computing, developing interfaces that integrate seamlessly into daily activities. Current projects include exploring edible displays, adaptive ear interfaces, and novel authentication methods using wearable devices. Future work seems to be heading toward more medical applications of HCI, particularly in neurological assessment and rehabilitation.

• Programming Languages
• Formal Verification
• Concurrent and Parallel Systems
• +10 more

Professor Sophia Drossopoulou is a Professor of Programming Languages in the Department of Computing at Imperial College London, part of the Faculty of Engineering. Her affiliations include the Centre for Cryptocurrency Research and Engineering and the Sound Programming Languages research group. She holds a visiting researcher position at Microsoft Research (UK) from May 2019 to May 2020. Her research focuses on foundational programming language design and formal methods, emphasizing concurrency, type systems, and program verification. Key areas include concurrent program reasoning (e.g., TaDA framework), memory management (reference capabilities, garbage collection), and secure systems (smart contracts, cyber-physical systems). She explores practical language extensions for performance optimization (e.g., cache locality) while maintaining safety guarantees through formal verification techniques. Her work spans theoretical contributions (formal semantics, logical frameworks) and applied systems (compilers, runtime verification tools like Zeno). Recent trends show strong engagement with actor-based models (Pony language), digital twins, and cybersecurity challenges in modern software systems. Awards and recognitions are not explicitly listed in the provided text, but her extensive publication record in top venues (ECOOP, POPL, TOPLAS) indicates academic impact. Her advising focuses on graduate students in systems programming and formal methods, though specific student names are not mentioned here. Labs and collaborations involve the Sound Programming Languages group at Imperial College, emphasizing interdisciplinary work between formal methods and practical language implementation. Current projects include improving concurrency semantics and verifying complex systems through compositional reasoning techniques.

Danna GurariView profile

Assistant Professor

• Computer Vision
• Human-Computer Interaction
• Accessibility
• +4 more

Dr. Danna Gurari is an Assistant Professor in the Computer Science Department at the University of Colorado Boulder and Founding Director of the Image and Video Computing Group. She specializes in computer vision, human-computer interaction, accessibility, and biomedical data analysis, emphasizing interdisciplinary approaches. Since 2017, she has taught over 400 students in graduate and undergraduate courses while leading a multidisciplinary research team. Her research spans 60+ peer-reviewed articles and has been supported by NSF, CZI, Microsoft, Adobe, and Amazon. She mentors over 30 mentees annually, from undergraduates to postdocs. Her work bridges academia and industry, informed by prior roles at Boulder Imaging and Raytheon. Education: Ph.D. in Computer Science from Boston University, postdoctoral fellowship at University of Texas at Austin, and industry experience at Raytheon. Research focuses on visual interpretation for accessibility, biomedical image analysis, privacy preservation, and hybrid human-machine systems. Key lab projects include AI solutions for blind individuals, cancer radiation therapy optimization, and visual privacy tools. Awards: Recognitions at top venues including WACV, CHI, CSCW, and MICCAI. Active in funding and grants, including NSF Explore Access and Google Cloud Education grants. Labs/Teams: Leads the Image and Video Computing Group, collaborating with medical campuses and industry partners. Projects include VizWiz Grand Challenge and disability-first dataset development.

Sarah Burke-SpolaorView profile

Associate Professor

• Gravitational Wave Detection
• Binary Supermassive Black Holes
• Fast Radio Bursts (FRBs)
• +3 more

Dr. Sarah Burke-Spolaor is an Associate Professor in the Department of Physics and Astronomy at West Virginia University and a member of the Center for Gravitational Waves and Cosmology (GWAC) . Her research focuses on dynamic astrophysical phenomena , including binary supermass of mass black holes , pulsar timing arrays for gravitational wave detection , and Fast Radio Bursts (FRBs) . Key Research Areas : Gravitational wave detection via pulsar timing Observational studies of binary supermassive black holes Fast Radio Burst detection and classification Galaxy formation and merger dynamics Dr. Burke-Spolaor mentors a team of students and postdocs including Gregory Walsh, Jessica Sydnor, Reshma Thomas , and Kshitij Aggarwal , whose work includes projects like the BHBinary/Galaxy Evolution Survey and The Petabyte Project for Radio Transients . Her awards include the Alfred P. Sloan Fellowship and recognition as a CIFAR Azrieli Global Scholar . Selected Article Trends : Leading gravitational wave research through NANOGrav's 15-year data set Multi-messenger astronomy targeting binary black hole systems FRB host galaxy characterization across telescopes Exploring unconventional astrophysical transients in the Galactic bulge Advancing pulsar timing array methodologies Developing next-generation radio interferometry techniques Scientific Awards : Alfred P. Sloan Fellow CIFAR Azrieli Global Scholar