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Uluğ KuzuoğluView profile

Assistant Professor

• Modern Chinese History
• Global History
• Information Technologies
• +6 more

Uluğ Kuzuoğlu is an Assistant Professor of History at Washington University. He specializes in modern Chinese and global history, focusing on non-Western information/communication technologies and their socio-political implications. His research explores script reforms in China from the 19th to 20th centuries, linking them to telegraphic networks, printing technologies, and bureaucratic systems. He holds a PhD from Columbia University and degrees from Bogazici University. Education: PhD in History, Columbia University MA in History, Bogazici University BA in History, Bogazici University His current projects include a book on 3D technologies and AI in the Sinosphere (supported by Luce/ACLS) and a digital humanities initiative called "Asia in St. Louis." He co-leads the Immersive Technology Collective, exploring VR/AR intersections with humanities. His research interests span script reform, digital humanities, and the history of technology. Key Achievements: Published Codes of Modernity: Chinese Scripts in the Global Information Age (Columbia UP, 2024) Recipient of 2024-25 Faculty Fellows award Developed prototype for mobile app "Asia in St. Louis" with Arts & Sciences funding Teaching focuses on modern China, information history, and technology studies. His courses include Cyborgs in History , Technology, Empire, and Science in China , and Digital Frontiers of History .

Prateek SAXENAView profile

Associate Professor

• Computer Security
• Machine Learning Security
• Trustworthy AI
• +4 more

Prateek SAXENA is an Associate Professor in the Computer Science Department at the School of Computing, National University of Singapore. He serves as Co-Director of the CRYSTAL Centre and teaches courses including CS3235 Computer Security and CS5562 Trustworthy Machine Learning. His research spans multiple domains within computer security and systems. Dr. SAXENA earned his Ph.D. in Computer Science from the University of California, Berkeley (2012), an M.S. in Computer Science from Stony Brook University (2007), and a B.E. in Computer Engineering from the University of Pune, India (2004). His research focuses on building better security and privacy in practical systems through principled approaches combining formal reasoning, tools and ideas from several computer science domains. Current research thrusts include machine learning security, decentralized systems security, security processors, and automatic program translation. His work has resulted in several practical artifacts powering real-world systems, including spinoffs like Zilliqa and Kyber Network. His publication record demonstrates consistent high-impact research across security domains including web security, blockchain, trusted execution environments, and machine learning security. His work shows a progression from foundational web security research to cutting-edge work on blockchain systems and machine learning security. MIT Technical Review, Top 10 Innovators under 35, Asia - 2017 Security and Privacy Research Award, 2018 Young Research Award, NUS, 2017 David J. Sakrison Memorial Prize for outstanding doctoral work, UC Berkeley, 2012 AT&T Best Applied Security Research Paper Award 2010 Dr. SAXENA has advised numerous successful PhD students who have gone on to prominent positions at Microsoft Research, Georgia Tech, ETH Zurich, and industry leaders like Zilliqa and Kyber. His research has been generously supported by CISCO Research, Google, Intel, Symantec, MoE-Singapore, DSO Labs, and NRF-Singapore. He leads the KISP Lab (Keep It Secure and Private), which has produced influential research in blockchain, trusted execution environments, and security tools.

Sassan AsgariView profile

Professor

• Insect host-pathogen interactions
• Mosquito-borne viruses
• Non-coding RNAs
• +2 more

Professor Sassan Asgari leads research on insect-virus interactions at the University of Queensland's School of the Environment. His lab investigates evolutionary adaptations in mosquito-pathogen systems, particularly dengue virus transmission mechanisms, utilizing molecular approaches including next-generation sequencing and bioinformatics. Research focuses on three primary areas: identifying pro-/anti-viral factors in mosquitoes, examining non-coding RNAs in host-pathogen interactions, and exploring microbiome impacts on viral replication. Research interests center on arthropod vectors, viral evolution, and host immune responses. Current projects examine Wolbachia-mediated virus blocking, epigenetic regulation of mosquito immunity, and RNAi pathways in insect antiviral defenses. The lab employs cutting-edge genomic tools to dissect vector competence mechanisms and develop novel disease control strategies. Publications consistently focus on molecular virology in mosquito vectors, with recent work emphasizing Wolbachia symbiont interactions, RNA modifications in antiviral responses, and viral inhibition mechanisms. Article keywords reveal strong emphasis on epigenetics, vector competence, and host-microbe coevolution across virology and molecular entomology domains. While no major scientific awards are documented, extensive research contributions include 169 peer-reviewed articles and 13 book chapters. The lab maintains collaborations with global health organizations and supervises graduate researchers in vector biology projects. Future work aims to translate basic research into field-applicable vector control methods.

Timothy StaplesView profile

Research Fellow

• Quantitative Ecology
• Community Ecology
• Climate Change Impacts
• +3 more

Timothy Staples is an ARC DECRA Research Fellow at the University of Queensland's School of the Environment. His research focuses on quantitative community ecology spanning terrestrial and marine systems, with expertise in anomaly detection, ecological novelty, functional traits, and programming language evolution. He holds a PhD, Honours Class I, and Bachelor of Science in Ecology from the University of Queensland. His research examines how communities form and function across temporal and spatial scales, emphasizing climate change impacts and conservation applications. Key interests include translating anomaly detection methods to ecology, developing frameworks for measuring ecological novelty, and analyzing the evolution of scientific programming languages like R. Research trends show consistent focus on coral reef dynamics, reforestation ecology, and trait-based community analysis, with increasing integration of computational methods and paleoecological perspectives in recent publications. He has secured significant grants including an ARC DECRA Fellowship and Great Barrier Reef Foundation partnerships. His collaborative work involves mentoring students and contributing to large-scale databases like AusTraits. Dr. Staples leads field and computational research within interdisciplinary teams, emphasizing reproducibility and open science through platforms like GitHub.

Benjamin KarneyView profile

Professor

• Intimate Relationships
• Marriage
• Social Psychology
• +7 more

Benjamin Karney is a Professor of Social Psychology at the University of California, Los Angeles (UCLA), where he serves as Social Area Chair in the Department of Psychology. He also holds an adjunct position as a behavioral scientist at the RAND Corporation, focusing on interpersonal relationships and marriage dynamics within diverse contexts. His educational background includes a Ph.D. from the University of California, Los Angeles. Ph.D.: University of California, Los Angeles Dr. Karney's research examines change and stability in intimate relationships, particularly during early marriage. He investigates how external stressors—including socioeconomic hardship, military deployment, and racial discrimination—impact cognitive and behavioral relationship maintenance processes. His methodology emphasizes longitudinal designs, repeated measures, multi-level modeling, and observational coding of couple interactions, with current work focusing on Latinx, Black, and White newlywed couples from low-income neighborhoods. Analysis of his recent publications (2015-2021) reveals consistent focus on contextual factors influencing relationship trajectories. Key trends include examination of socioeconomic status as both stressor and adaptive framework, racial discrimination effects on marital quality, and context-dependent communication strategies. His work increasingly integrates duocentric social network analysis and challenges deficit-based models of low-income relationships. Dr. Karney has received significant recognition for his contributions: Two-time recipient of the National Council on Family Relation’s Reuben Hill Research and Theory Award His research has been supported by major grants from the Department of Defense (military marriage studies) and the National Institute on Child Health and Human Development (low-income marriage research). As director of the Florida Project on Newlywed Marriage and Adult Development (FPNMAD), he led landmark longitudinal studies of early marriage. He served as expert consultant for the Strengthening Healthy Marriage project—a national experimental study for low-income couples sponsored by the Administration on Children and Families—and conducted Florida's statewide marriage baseline survey in 2003. Dr. Karney directs the UCLA Marriage and Close Relationships Lab, which maintains active research programs examining relationship dynamics across diverse socioeconomic and cultural contexts through multiple longitudinal studies.

Mehmet Fatih YanikView profile

Professor

• Neurotechnology
• Neuroengineering
• High-Throughput Screening
• +6 more

Prof. Mehmet Fatih Yanik is a Full Professor at the Department of Information Technology and Electrical Engineering at ETH Zürich and Deputy Head of the Institute of Neuroinformatics. He leads the Yanik Lab, focusing on neurotechnology, neuroengineering, and high-throughput screening systems for drug discovery. His career includes tenured positions at MIT (2006-2014) and postdoctoral work at Stanford University. He holds a BS and MS from MIT (Electrical Engineering/Physics and Computer Science) and a PhD in Applied Physics from Stanford. Educations: BS in Electrical Engineering and Physics, MIT (1999) MS in Engineering and Computer Science, MIT (2000) PhD in Applied Physics, Stanford University (2006) Research Interests: Prof. Yanik’s work spans neurotechnology platforms for large-scale neural recording and stimulation, high-throughput in vivo screening systems for drug discovery, and advanced neuroimaging techniques. He pioneered ultra-flexible neural electrodes and non-invasive focused ultrasound neuromodulation. His lab integrates machine learning with neurotechnology to study brain circuit dynamics and anesthetic states. Awards: NIH Director’s Pioneer Award (youngest recipient) ERC Consolidator Award Bridge Discovery Award Technology Review’s 'Top 35 Innovators Under 35' Advising & Grants: His research is supported by NIH, ERC, NSF, and industry partnerships. He directs the NSC Master’s program and teaches courses like "Bioelectronics and Biosensors" . The Yanik Lab collaborates widely, advancing translational neurotechnology for clinical applications. Labs & Teams: The Yanik Lab at ETH Zürich develops cutting-edge tools for neuroscience, including neural interface technologies and AI-driven analysis pipelines for behavioral and neural data.

Michael BruenigView profile

Professor

• Robotics
• Cybersecurity
• Data Innovation
• +6 more

Professor Michael Bruenig is the Head of School for the School of Electrical Engineering and Computer Science (EECS) at The University of Queensland (UQ), a position he has held since 2016, with an interim role as Head of UQ’s Business School from 2019–2021. He previously led the CSIRO’s $140m National Research Flagship on Digital Productivity and co-founded Data61. With a PhD from RWTH Aachen University, his career spans automotive R&D in Germany, Silicon Valley, and Australia. He holds a Master’s and PhD in Science from RWTH Aachen University, Germany. His research focuses on strategic innovation, entrepreneurship, and translating research into industry impact through ventures like UQ Cyber, the National Industry 4.0 Energy Testlab, and the QLD Government AI Hub. He pioneered UQ’s Bachelor of Computer Science, Master of Cyber Security (based on US NICE Framework), and online Master of Business Analytics. His work spans robotics, sensor networks, and terahertz technology, with recent articles addressing lidar-based navigation, terahertz imaging, and cybersecurity. He advises startups and sits on boards, driving commercialization and spin-offs. Key initiatives include UQ Innovate and UQ Ventures, fostering student and faculty entrepreneurship. Labs and teams include collaborations on AI, Industry 4.0, and energy systems. His leadership emphasizes cross-disciplinary projects and curriculum innovation in tech and data fields.

• Neuroscience
• Pain mechanisms
• Itch perception
• +4 more

Dr Junichi Hachisuka is a Senior Lecturer in Neuroscience at the University of Glasgow's School of Psychology & Neuroscience. His research focuses on spinal cord circuits underlying pain and itch perception, with particular emphasis on neuronal signaling pathways and circuit mechanisms. He has contributed to understanding how somatostatin-expressing neurons modulate pain pathways and how spinal dynorphin neurons mediate opioid-induced itch. His work combines electrophysiological techniques, optogenetics, and ex vivo spinal cord models to study neuronal plasticity and circuit dynamics. Key research areas include: Functional organization of spinoparabrachial pathways Neuromodulatory mechanisms in chronic itch Role of spinal interneurons in pain sensitization Development of in vivo/ex vivo spinal cord models Current grants include investigations into lamina I projection neurons' roles in pain mechanisms (Medical Research Council, 2022–2024) and neurotropic virus functional biology (Biotechnology and Biological Sciences Research Council, 2023–2025). Dr Hachisuka collaborates widely, including with teams at the University of Glasgow and international institutions. His lab's work bridges basic neuroscience with translational research in dermatological and chronic pain conditions.

• Social Cognition
• Facial Expression Analysis
• Cultural Psychology
• +3 more

Rachael E Jack is a Professor of Computational Social Cognition at the University of Glasgow's School of Psychology & Neuroscience, and Head of the Centre for Social, Cognitive and Affective Neuroscience (cSCAN). Her research integrates psychophysics, computer graphics, and communication theory to study facial expressions across cultures, challenging the universality of basic emotions. She leads an ERC-funded project modeling face syntax for social robotics and has received international awards including the APS Rising Star and BPS Spearman Medal. Her work spans 53 peer-reviewed articles in journals like PNAS , Current Biology , and Psychological Science . She serves on editorial boards for Journal of Experimental Psychology and Affective Science , and holds leadership roles in the Society for Affective Science and ERC Advanced Grant panels. Research focuses on dynamic facial signaling, cultural diversity in emotion perception, and translating findings into socially intelligent robotics. Awards include the APA New Investigator Award and SANS Innovation Award. Grants include ERC (2018–2025), ESRC, and British Academy funding. Advises PhD students and mentors research teams in computational social cognition. Key collaborations span neuroscience, engineering, and computer science disciplines.

• Psychology
• Neuroscience
• Cognitive Behavioral Therapy
• +2 more

Dr Fiona Robb serves as an External Collaborator at the School of Psychology & Neuroscience, University of Glasgow, based at R519 Level 5, 58 Hillhead Street, Glasgow G12 8QB. Her dual research focus bridges clinical psychology and systems neuroscience through active publication in peer-reviewed journals. Her research interests encompass digital cognitive behavioral therapy interventions for insomnia within early psychosis services, alongside investigations into predictive neural feedback mechanisms in the primary visual cortex. This interdisciplinary work connects clinical mental health applications with fundamental sensory processing research. Recent publications demonstrate her methodological range from clinical feasibility studies in psychosis services to experimental neuroscience examining dynamic sensory updating in V1. These outputs reveal a consistent theme of translating theoretical psychological and neural models into practical clinical applications and empirical validation.

Apurva Ratan MurtyView profile

Assistant Professor

• Visual Intelligence
• Neurodevelopmental Disorders
• fMRI
• +4 more

Apurva Ratan Murty is an Assistant Professor at the School of Psychology, Georgia Institute of Technology. His research focuses on uncovering neural codes and algorithms underlying human vision by integrating biological studies with artificial intelligence models. The Murty Lab employs advanced neuroimaging techniques (fMRI, MEG, EEG) and computational methods (deep learning, generative AI) to explore perceptual development, neurodevelopmental disorders, and invariant object representations. He holds a PhD from the Indian Institute of Science (IISc) and completed postdoctoral research at MIT's McGovern Institute. Education: PhD in Neuroscience, Indian Institute of Science (IISc), Bangalore, India (Adviser: S.P. Arun) Postdoctoral Research: MIT's Center for Brains, Minds, and Machines (Advisers: Nancy Kanwisher, James DiCarlo) Research Interests: The lab investigates how visual information transforms into perception through neural circuits, emphasizing cross-disciplinary approaches to bridge biological and artificial vision systems. Key themes include modeling neurodevelopmental disorders, analyzing fMRI data with AI, and developing biologically constrained computational frameworks. Awards: NIH K99/R00 Pathway to Independence Award Young Systems Scientist Award, National Systems Society of India Institute Medal, Indian Institute of Science Labs & Teams: The Murty Lab actively recruits PhD students, postdocs, and undergraduates. The lab's work is showcased at murtylab.com , emphasizing translational research in vision science and neurotechnology.

• Cognitive Neuroscience
• Translational Neuroscience
• Neurophysiology
• +4 more

Prof. Dr. Dr. Lukas Kunz is a Professor at the Department of Epileptology, affiliated with the University Hospital Bonn, part of the University of Bonn. His research focuses on cognitive and translational neuroscience, particularly the neural mechanisms underlying spatial navigation and memory. His lab employs advanced techniques like virtual reality tasks, single-neuron recordings, and intracranial EEG in epilepsy patients to study spatial cognition. Key research areas include Alzheimer’s disease and epilepsy’s impact on neural pathways. He leads the Bonn Spatial Memory Lab, which bridges basic and clinical research to understand spatial awareness deficits in neurological conditions. His work integrates neurophysiological methods with computational modeling, investigating how spatial information is encoded and retrieved. Recent studies highlight path integration deficits in Alzheimer’s risk carriers and the role of hippocampal subfields in spatial memory. Collaborative projects with global institutions enhance translational outcomes. Awards and grants section remains empty as no specific honors were listed in the provided materials. No advisees are explicitly mentioned, but his lab’s innovative methods and interdisciplinary approach are central to his contributions. The Bonn Spatial Memory Lab actively explores clinical applications of cognitive neuroscience findings.

• Multiple Sclerosis
• B-cells
• Biomarkers
• +4 more

Prof. Dr. Stefanie Kürten is a Professor at the Anatomisches Institut/Neuroanatomie of the Rheinische Friedrich-Wilhelms-Universität Bonn . Her research focuses on understanding the role of B cells and autoantibodies in Multiple Sclerosis (MS), developing novel therapies, biomarkers, and neuroregenerative strategies for CNS disorders. She leads a team investigating B-cell-driven immunopathology, therapeutic options, and remyelination mechanisms. Key projects include studying enteric nervous system involvement in MS and the effects of calcium channel blockers like nimodipine on CNS repair. Education: Doctorate in Neuroanatomy and extensive postdoctoral training in immunopathology. Her research interests span Multiple Sclerosis, B-cell Biology, Autoantibodies, Biomarker Development, Neuroregeneration, and Central Nervous System Autoimmunity . She actively contributes to the Transdisciplinary Research Area (TRA) - Life and Health at the University of Bonn. Publications highlight breakthroughs in B-cell activity as predictors for MS treatments, autoantibody identification in B-cell dominant MS patients, and the neuroprotective effects of nimodipine. Her work bridges clinical neuroimmunology with translational research, emphasizing both disease mechanisms and therapeutic innovation. Grants and collaborations include studies on EAE mouse models, B-cell depletion therapies, and the role of enteric nervous system pathology in MS. She is affiliated with the University Hospital Bonn and collaborates internationally on neuroimmunology projects.

Michael WenzelView profile

Professor

• Epilepsy Mechanisms
• In Vivo Neuroimaging
• Seizure Propagation
• +3 more

Michael Wenzel is Professor at the University of Bonn's Department of Epileptology and Principal Investigator at the Institute for Experimental Epileptology and Cognition Research. As a Hertie Network of Excellence scholar, he leads translational neuroscience research bridging clinical epileptology and systems neurobiology. His lab investigates fundamental mechanisms of seizure formation and propagation using cellular-resolution in vivo two-photon imaging, field electrophysiology, and nanopipette technology in chronic epilepsy models. Research combines murine and human studies to identify shared circuit elements in epileptic networks. Collaborative work spans medicinal chemistry (photopharmacology) and biomedical engineering (implantable neurodevices). Publications demonstrate expertise in seizure microprogression mapping, neural ensemble dynamics, and advanced neuroimaging methodologies. Recent work emphasizes multi-scale recording techniques, anesthesia effects on synaptic architecture, and minimally invasive electrophysiology.

Yongsheng ShiView profile

Professor

• RNA Processing
• Molecular Biology
• Gene Expression Regulation
• +4 more

Yongsheng Shi is a Professor & Chancellor's Fellow in the Department of Microbiology & Molecular Genetics at the University of California, Irvine (UCI). His research focuses on the molecular mechanisms of RNA processing, particularly mRNA 3' end formation, polyadenylation, and their roles in gene expression regulation. He investigates how these processes influence cellular differentiation, viral pathogenesis, and cancer biology. Key research interests include transcriptome surveillance, RNA-protein interactions, and the interplay between RNA processing and epigenetic regulation. His work employs cutting-edge techniques like PAS-seq and massively parallel reporter assays, combined with machine learning approaches, to decode complex RNA regulatory networks. Shi's publications highlight contributions to understanding herpes simplex virus effects on host mRNA processing, the role of polyadenylation in stem cell self-renewal, and the functional implications of RNA structure in gene regulation. His findings bridge basic molecular mechanisms with translational applications in cancer therapy and viral infections. He holds the prestigious Chancellor's Fellow title at UCI, reflecting recognition of his scholarly contributions. His research has implications for understanding fundamental biological processes and developing therapeutic strategies targeting RNA machinery.