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Avniel Singh GhumanView profile

Associate Professor

• Visual Cognition
• Magnetoencephalography (MEG)
• Intracranial EEG (iEEG)
• +4 more

Avniel Singh Ghuman, PhD, is an Associate Professor in the Department of Neurological Surgery at the University of Pittsburgh School of Medicine. He leads the Cognitive Neurodynamics Lab and serves as director of MEG Research. His work focuses on understanding visual perception mechanisms using advanced neuroimaging techniques like MEG and intracranial EEG. Dr. Ghuman holds a BA in Math/Physics from Johns Hopkins University (1998) and a PhD in Biophysics from Harvard University (2007), followed by postdoctoral training at the National Institute of Mental Health. Research Interests: Investigates how the brain processes visual information (objects, faces, words), social/affective perception, and neural dynamics underlying cognition. Uses MEG, iEEG, and machine learning to study spatiotemporal neural activity patterns and network interactions. Recent work explores real-world face perception coding and chaotic brain state transitions during natural behavior. Awards: Young Investigator Award (NARSAD, 2012) Award for Innovative New Scientists (NIMH, 2015) Lab & Collaborations: Directs the Cognitive Neurodynamics Lab, collaborating with neurosurgeons Drs. Taylor Abel and Jorge González-Martínez. Research emphasizes translational applications of MEG and neural stimulation to understand perception and cognition in real-world contexts.

Jay GottfriedView profile

Professor

• Human Olfactory Neuroscience
• Cognitive Neuroscience
• Behavioral Neuroscience
• +3 more

Jay Gottfried is the Arthur H. Rubenstein University Professor at the University of Pennsylvania's Perelman School of Medicine. His research focuses on human olfactory neuroscience, investigating how odor perception is processed in limbic circuits related to emotion, learning, and memory. He employs advanced techniques like functional MRI (fMRI) and intracranial EEG to study olfactory systems, with recent work exploring olfactory navigation using grid-like neural representations and interactions between sensory cortices. Education: A.B. in Molecular Biology from Princeton University; M.D. and Ph.D. in Physiology and Neuroscience from NYU School of Medicine. Postdoctoral training in olfactory neuroscience at University College London. Research Interests include odor coding, oscillations in the piriform cortex, and translational studies linking olfactory dysfunction to neurodegenerative diseases. Notable projects involve odor categorization, fear learning, and sleep-dependent memory consolidation. His lab bridges human and rodent studies to elucidate olfactory mechanisms. Key findings include temporal segregation of nostril odor signals, grid-cell-like representations in olfactory navigation, and the role of piriform cortex in integrating sensory information. He collaborates on developing high-resolution imaging and EEG techniques to map olfactory circuits.

• Neural Data Science
• Systems Neuroscience
• Computational Neuroscience
• +3 more

Benjamin Adric Dunn is an Associate Professor in (Neural) Data Science at the Department of Mathematical Sciences, NTNU. His research focuses on computational neuroscience, systems neuroscience, and topological data analysis. He holds a PhD and postdoctoral experience from NTNU's Kavli Institute for Systems Neuroscience, an MS in Computational Engineering from Purdue University, and a BS in Applied Mathematics from the University of Connecticut. Previously, he worked as a Computational Methods Engineer at Pratt & Whitney, UTC. His work explores neural mechanisms underlying spatial navigation, grid cell dynamics, and neural coding in rodents. Key contributions include studies on toroidal representations in grid cells and cortical coding of 3D posture. Dunn has published extensively in journals like Nature , Science , and Neuron , with a focus on interdisciplinary methods combining topology, statistics, and neuroscience. He has collaborated on projects involving neural ensemble activity analysis and hidden variable modeling in biological data. Dunn’s research also addresses computational challenges in neuroscience, such as removing experimental variability in functional data.

• Computational Biology
• Bioinformatics
• Genomics
• +4 more

Dr. Roland Wittler is a researcher at the Faculty of Engineering , Bielefeld University , Germany, specializing in Genome Informatics . He has held key roles such as Coordinator of Doctoral Studies (since 2024), Scientific Coordinator for the Graduate School 'Digital Infrastructure for the Life Sciences' (DILS), and coordinator for bioinformatics PhD programs. PhD in Computational Biology (Bielefeld University, 2010) DFG scholarship recipient (2006–2009) Prior research assistant at Simon Fraser University (2010) His research focuses on phylogenomics , gene cluster analysis , and alignment-free sequence comparison . He pioneered methods using colored de Bruijn graphs for reference-free phylogeny reconstruction and DARRC for pan-genome compression. His work spans from gene order evolution to high-throughput sequencing data structures . The 15 most recent publications show trends in phylogenomic clustering k-mer-based pangenome modeling and graph-based genomic alignment He contributes to computational methods for genome analysis, including algorithms for detecting overlapping deletions and optimizing pan-genome storage via Bloom filter trunks. His work bridges theoretical algorithm design and practical bioinformatics applications .

Renate Delucchi DanhierView profile

Researcher

• Psycholinguistics
• Comparative Linguistics
• Multilingualism
• +12 more

Renate Delucchi Danhier is a researcher at the Faculty of Cultural Studies, Technical University of Dortmund, where she has held positions as Temporary Academic Councilor (2018–2026) and Research Assistant (2015–2018). She holds a Ph.D. in Comparative Linguistics from Heidelberg University and an M.A. in German as a Foreign Language, Classical Archaeology, and Egyptology. Doctorate: Comparative Linguistics, Heidelberg University (2015) Master of Arts: German as a Foreign Language Philology, Classical Archaeology, Egyptology, Heidelberg University (2008) Her research focuses on psycholinguistics, multilingualism, bilingual education, language and cognition, and the role of language in inclusion. She investigates how linguistic structures affect perception, particularly in spatial and educational contexts. Her work often integrates eye-tracking methodologies and interdisciplinary collaboration, especially with Barbara Mertins. The 15 most recent publications reveal a strong trend in psycholinguistics, with emphasis on comparative analysis of German and Spanish, syntactic features in educational texts, and multilingual cognition. Her recent work extends into data visualization and diversity in cognition, showing a growing interest in humanistic data representation. She has contributed to significant interdisciplinary projects such as 'Psycholinguistic Foundations of Inclusion' and co-edited special issues on diversity in cognition. Renate Delucchi Danhier has not received any explicitly mentioned scientific awards. She has not listed any advisees or students. There is no information about labs or research teams she leads, but her collaborative publications suggest active participation in research groups focused on language, cognition, and education.

Jennifer L. O'BrienView profile

Assistant Professor

• Cognitive Psychology
• Perception
• Attention
• +3 more

Dr. Jennifer L. O’Brien is an Assistant Professor at the University of South Florida, specializing in cognitive psychology with a focus on perception, attention, and decision-making mechanisms. Her research investigates how motivational value influences sensory processing and attention, particularly in aging populations using behavioral and neurophysiological methods. She holds a Ph.D. from Bangor University (UK) and three B.A. degrees in Psychology, Mass Communications, and French from the University of South Florida. Key research interests include: Neural correlates of attention and decision-making Cognitive training interventions for older adults Interaction between auditory processing and cognition Motivational influences on perceptual selection Her recent work explores dementia-related stigma, hearing loss impacts on cognitive health, and Alzheimer’s prevention strategies. The most frequent publication themes focus on aging populations, cognitive neuroscience, and translational research in clinical settings. Dr. O’Brien has contributed to over 20 peer-reviewed articles since 2013, with notable studies demonstrating auditory attention improvements through cognitive training and identifying neural markers of mild cognitive impairment.

Kristel MichielsenView profile

Professor

• Quantum Computing
• Quantum Annealing
• Quantum Simulation
• +3 more

Prof. Dr. Kristel Michielsen is a Professor of Quantum Information Processing at RWTH Aachen University and holds leadership roles at Forschungszentrum Jülich. She leads the division HPC for Quantum Systems and heads the Jülich UNified Infrastructure for Quantum computing (JUNIQ). As Group Leader of the Research Group Quantum Information Processing, her work focuses on quantum annealing, quantum simulation, and modular hybrid HPC-quantum computing. She is also Spokesperson of the Helmholtz Information Program 1 and a Principal Investigator in Topics 1 and 2. Affiliations: RWTH Aachen University, Forschungszentrum Jülich (IAS/JSC), JUNIQ Key Roles: Head of HPC for Quantum Systems, JUNIQ Director, Quantum Information Processing Group Leader Her research emphasizes quantum computing applications in optimization, benchmarking, and hybrid supercomputing-quantum systems. She pioneers quantum-annealing solutions for real-world problems like power grid partitioning and transportation logistics. Recent work explores error mitigation, noise modeling in D-Wave systems, and quantum-classical workflows.

Evaggelia PitouraView profile

Professor

• Data Management
• Distributed Databases
• Database Systems
• +7 more

Evaggelia Pitoura is a Professor in the Department of Computer Engineering and Informatics at the University of Ioannina, Greece, and a Lead Researcher at the Archimedes Research Unit, ATHENA Research Center. Her work spans data management, distributed systems, and mobile computing, with a strong focus on database personalization and diversity. Her research interests include data diversity, contextual preferences, XML data management, peer-to-peer systems, and mobile computing . She has pioneered work in result diversification, preference-aware querying, and distributed data indexing, publishing extensively in top venues such as PVLDB, ICDE, SIGMOD, and IEEE TPDS. The recent publications highlight a consistent trend in personalized, context-aware database systems , with emphasis on improving user experience through intelligent query processing, recommendation, and efficient data organization in distributed environments. Best Paper Award, SIGMOD 1999 Best Paper Award, PVLDB 2013 She has advised several PhD students, including Georgia Koloniari, Kostas Stefanidis, Marina Drosou, and Konstantinos Semertzidis, who now hold positions in academia and industry. She teaches courses in Databases and Information Retrieval and actively contributes to the academic community through program committee roles in major conferences like ICDE, VLDB, SIGMOD, and WWW. She leads the Distributed Management of Data Group , fostering innovation in scalable and intelligent data systems.

Oliver BonesView profile

Lecturer

• Auditory Neuroscience
• Cognitive Psychology
• Pitch Perception
• +7 more

Dr. Oliver Bones is a Lecturer in Psychology and Deputy Head of the Dubai School of Psychology at the University of Birmingham Dubai. He also serves as Head of Year 1 for the BSc Psychology program, where he teaches modules including Introduction to Psychobiology, Cognitive Psychology, Language and Communication, Neural Basis of Vision and Action, and Cognition and Ageing. Education: BSc in Psychology, Sheffield Hallam University (2002) MSc in Audiology, University of Manchester (2011) PhD in Auditory Neuroscience, University of Manchester (2014) Higher National Diploma in Music Production Dr. Bones' research lies at the intersection of auditory neuroscience and cognitive psychology, focusing on how humans perceive pitch, music, and speech. His work investigates the role of cognition in speech perception, the neural basis of musical harmony, and the impact of hidden, non-audiometric hearing loss on cognitive function. He is particularly interested in how hearing loss interacts with cognitive decline in older adults, and how musical experience influences subcortical pitch encoding. His recent publications show a strong trend in auditory perception, neural representation of sound, and the cognitive mechanisms underlying music and speech processing. Many of his studies employ neuroimaging and electrophysiological methods to examine brainstem responses to complex auditory stimuli such as musical consonance and lexical tones. His work also extends to environmental sound classification and the formation of sound categories. Scientific Involvement: Co-Investigator, Abu Dhabi Early Childhood Authority grant on psychological factors in childhood obesity Dr. Bones advises undergraduate students as Head of Year 1 and contributes to curriculum development in psychology education. While formal PhD or Master's students are not listed, his collaborative research involves multiple institutions and interdisciplinary teams. He is based at the Dubai International Academic City campus, contributing to the growth of psychological science in the UAE.

• Distributed Computing
• Federated Learning
• Cloud Computing
• +12 more

Salman Zubair Toor is a researcher at Uppsala University, Sweden, specializing in distributed computing, federated learning, and cloud/edge infrastructure optimization. His work spans resource scheduling, data streaming, and secure anomaly detection.

Martin A. VinckView profile

Professor

• Computational Neuroscience
• Systems Neuroscience
• Neural Coding
• +10 more

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 .

• Digital Humanities
• Philology
• Lexicography
• +5 more

Christian D'AGATA is a Research Fellow at the Department of Humanities, University of Catania, conducting research on 'Philology and Digital Lexicography of 19th and 20th-Century Italian Literature' under the CHANGES (PNRR) - Spoke 3 project on Digital Verismo. His work focuses on creating digital scholarly editions of major Italian literary works through computational analysis and digital philology. His educational background includes a PhD in Interpretation Sciences from the University of Catania with a thesis on 'The Names of the Rose,' a Master's in Digital Humanities from Ca' Foscari University, and a degree in Modern Philology with a thesis on Gadamer and Eco. He completed a three-month internship at the Cologne Centre for eHumanities (CCeH). D'AGATA's research integrates philology, lexicography, hermeneutics and digital humanities methodologies to analyze literary works by Umberto Eco, Luigi Pirandello, Giovanni Verga, and other major Italian authors. His computational studies focus on textual variants, digital annotation systems, and the relationship between traditional literary criticism and digital media. He has developed specialized expertise in XML-TEI text encoding and digital edition platforms. His publication record demonstrates a consistent focus on digital scholarly editions, particularly for works like The Name of the Rose , Il fu Mattia Pascal , and Cesare Pavese's poetry. His research shows progression from theoretical foundations of digital philology toward practical implementation of hypereditions and digital archives. Member of the board of the Association for Humanistic Computing and Digital Culture (AIUCD) since January 2024 Program Committee member for the 13th AIUCD Annual Conference (May 2024) Active participant in multiple national research projects including PRIN Paves-e and POIChILIA D'AGATA actively supervises the development of digital humanities projects including the Hyperedition of Il fu Mattia Pascal within the National Digital Edition of Pirandello's Complete Works. His research team at CINUM (Center for Humanities Computing) collaborates with Mondadori publisher on these scholarly editions. He has presented his research at over 15 international conferences between 2020-2024, demonstrating strong engagement with the digital humanities community.

Hao YeView profile

Assistant Professor

• Machine Learning
• Wireless Communications
• AI Applications
• +4 more

Hao Ye is an Assistant Professor in Electrical and Computer Engineering at the University of California, Santa Cruz (UCSC). Previously, he worked as a Machine Learning Researcher at Qualcomm AI Research before transitioning to academia. His research focuses on integrating machine learning methodology into communication networks, particularly for applications involving edge devices such as autonomous vehicles. PhD in Electrical and Computer Engineering, Georgia Institute of Technology His research interests center on wireless communications, AI-driven network optimization, and signal processing for vehicular networks. He explores deep learning applications in channel estimation, resource allocation, and end-to-end communication systems, emphasizing adaptability in unreliable environments. Key trends in his publications include: Advancing Massive MIMO systems with data-driven approaches Developing graph neural networks for wireless resource management Integrating reinforcement learning into vehicular network spectrum sharing Proposing pilot-free end-to-end communication frameworks using deep learning Investigating federated learning in decentralized wireless architectures Applying meta-learning to networked AI systems Scientific contributions include being invited as an Editor for IEEE Transactions on Wireless Communications in 2024. He actively mentors PhD students and collaborates with researchers like Le Liang, Geoffrey Ye Li, and Shi Jin. Recent team announcements include welcoming Jing Qiao in September 2024, reflecting ongoing growth in his research group focused on machine learning and wireless systems.

Goran GlavašView profile

Professor

• Computational Semantics
• Multilingual Representation Learning
• Low-Resource NLP
• +2 more

Goran Glavaš is a Professor at the University of Würzburg's Faculty of Mathematics & Computer Science, holding the Chair for Natural Language Processing (Computer Science XII) and affiliated with the Center for Artificial Intelligence and Data Science (CAIDAS). His research focuses on computational semantics, multilingual/low-resource representation learning, and democratizing language technologies through fairness and sustainability. Former Assistant Professor at University of Mannheim (2017-2021) Interim Associate Professor at LMU Munich (2021-2022) Doctorate in 2014 at University of Zagreb under Jan Šnajder Recent research trends emphasize cross-lingual learning, multilingual knowledge integration, and ethical AI frameworks. His group contributes to robust multilingual models, vision-language systems, and sustainable NLP applications in social sciences. Outstanding Paper Award at ACL 2024 (IRCoder) Outstanding Paper Award at EACL 2024 (Kardeş-NLU) Extensive publications in EMNLP, ACL, NAACL, EACL, and TACL Advises a team of researchers at the University of Würzburg's NLP Chair, including Benedikt Ebing, Gregor Geigle, and Fabian David Schmidt. Leads the WüNLP group within CAIDAS, focusing on democratizing language technologies.

• Visual Perception
• Color Vision
• Individual Differences
• +7 more

Jenny Bosten is an Associate Professor in Psychology at the School of Psychology, University of Sussex . Her research focuses on visual perception, particularly color vision and individual differences, using neuroimaging (fMRI, EEG) and psychophysics. ERC-funded project COLOURCODE (2020-2025) on cortical color representation Studied genetics of visual trait variation and anomalous trichromacy Collaborated with institutions including UC San Diego and University of Cambridge Her work explores how color perception is shaped by natural scene statistics and genetic factors. Publications address cortical encoding mechanisms, visual enhancement technologies, and ecological approaches to perception. Current teaching includes advanced neuroscience courses and supervision of MSc research projects. Professional roles include membership in the International Colour Vision Society and former Secretary of the Colour Group (Great Britain).