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Annette KehnelView profile

Professor

• Medieval History
• Religious Studies
• Monastic History
• +4 more

Prof. Dr. Annette Kehnel holds the Chair of Medieval History at the University of Mannheim, within the School of Humanities. Her work focuses on medieval religious institutions, cultural history, and the intersection of ethics with material culture. She has authored and edited numerous influential books, including studies on monastic foundations, medieval poverty theories, and sustainability practices. Key Roles: Chair holder, Department Head, Academic Editor Research Themes: Medieval monasticism, economic history, cultural memory, and religious ethics Her research emphasizes interdisciplinary approaches, combining textual analysis with material culture studies. Recent publications explore how medieval societies addressed existential crises through moral frameworks and environmental sustainability. She frequently collaborates internationally, evidenced by her edited volumes with German-Italian-French scholars. No formal advising or grant details are listed in the provided texts, though her extensive editorial work suggests active engagement in academic networks. The Medieval History Chair at Mannheim, her primary affiliation, hosts research activities focused on early medieval to post-medieval transitions.

Irmak Olcaysoy OktenView profile

Assistant Professor

• Social Cognition
• Implicit and Explicit Belief Formation
• Motivational Processes
• +5 more

Dr. Irmak Olcaysoy Okten is an Assistant Professor in the Department of Psychology at Florida State University, part of the College of Arts and Sciences. She earned her Ph.D. from Lehigh University in 2018. Her research focuses on social cognition processes, particularly how implicit and explicit beliefs form and update, with emphasis on motivational factors like uncertainty reduction and ideological preservation. She investigates misplaced certainty's role in maintaining false beliefs and antisocial behaviors, as well as strategies to reduce biases through meta-perception interventions. Research interests include spontaneous trait inference, intellectual humility, cultural differences in social perception, and the intersection of political motives with cognitive processes. Her lab explores these topics through experimental designs examining bias reduction, uncertainty dynamics, and cross-cultural communication. Current projects aim to develop interventions targeting meta-perceptions to foster more accurate self-awareness in social interactions. She actively recruits graduate students for Fall 2025, emphasizing empirical and theoretical contributions to social cognition.

Meghan SullivanView profile

Professor

• Value Theory (Ethics and Rationality)
• Metaphysics
• Philosophy of Religion

Meghan Sullivan is the Wilsey Family College Professor of Philosophy at the University of Notre Dame, serving as Director of the University-wide Ethics Initiative and founding director of the Institute for Ethics and the Common Good. She holds a B.A. from the University of Virginia, a B.Phil. from Oxford (as a Rhodes Scholar), and a Ph.D. from Rutgers University. Her research focuses on Value Theory (Ethics and Rationality), Metaphysics, and Philosophy of Religion. She teaches the popular course 'God and the Good Life,' which has influenced over 5,500 students, and has authored/co-authored books like *The Good Life Method* (Penguin Press, 2022) and *Time Biases* (Oxford UP, 2018). Sullivan has been honored with the Joyce Teaching Award, Provost’s All-Faculty Team Award, and South Bend’s 40 Under 40 recognition. She co-edits the journal *Nous* and leads interdisciplinary initiatives like the Notre Dame–IBM Technology Ethics Lab. Her recent work explores rational planning across time, virtue ethics, and the intersection of philosophy with contemporary issues. Sullivan’s scholarship bridges metaphysical theory with practical ethics, emphasizing philosophy’s role in fostering a meaningful life.

• Big Data Management
• Scalable Data Science
• Spatial and Spatio-Temporal Data Processing
• +5 more

Suprio Ray is an Associate Professor in the Faculty of Computer Science at the University of New Brunswick, Canada, leading the Big Data Systems and Analytics Lab. He holds a PhD from the University of Toronto, an M.Sc. from the University of British Columbia, and a B.E. from NIT Trichy. Previously, he worked in industry roles at Oracle, Bell Labs, and Webtech Wireless, and completed a PhD internship at SAP. His research focuses on scalable data systems, spatial/spatio-temporal data management, and modern hardware utilization. Key projects include the Jackpine spatial database benchmark , DaskDB (a scalable data science system), and NUMA-aware query processing . He collaborates across disciplines with ECE and GGE departments, supported by grants from NBIF, NSERC, and industry partners. Research interests span Big Data systems, privacy/security in databases, blockchain analytics, and parallel/distributed computing. He has pioneered techniques like STILT multi-dimensional indexes , privacy-preserving spatial queries (Pystin) , and learned spatial indexes . Over 60 publications appear in top venues like SIGMOD, ICDE, and IEEE BigData. Education: PhD (Computer Science), University of Toronto (2015) M.Sc. (Computer Science), University of British Columbia (2003) B.E. (Computer Science & Engineering), NIT Trichy (2000) Teaching includes courses on big data systems (CS4545/6545), database foundations (CS6585), and data science (CS2545). He advises graduate students in scalable analytics and spatial systems, emphasizing industry-relevant software skills. Key awards include the 2024 ACM SIGSPATIAL best poster award , IBM Best Student Paper (2014) , and Harrison McCain Foundation award (2016) . His work has been recognized with 7 best paper awards and 3 patents. Current projects explore FPGA-accelerated joins , serverless data analytics , and privacy-preserving blockchain queries . Past contributions include the GEMM mobility model (2003) and foundational spatial benchmarks.

Matt McGrathView profile

Professor

• Epistemology
• Metaphysics
• Philosophy of Perception
• +3 more

Matthew McGrath is a Professor of Philosophy and Director of Graduate Studies in the Department of Philosophy at Washington University in St. Louis. He holds a PhD from Brown University. Prior to his current position, he served as Distinguished Professor of Philosophy at Rutgers University. His research focuses on epistemology, metaphysics, and the philosophy of perception, particularly exploring the interplay between epistemic and practical notions, and the nature of perceptual appearances and their role in knowledge acquisition. Education: PhD in Philosophy, Brown University Research interests span epistemic duties, pragmatic encroachment, perceptual justification, and the metaphysical structure of objects. He co-authored Knowledge in an Uncertain World (Oxford 2009) and Epistemology: A Contemporary Introduction (Oxford 2014). Recent work examines epistemic norms for judgment suspension, agency limitations in belief formation, and non-subjectivist accounts of perceptual seemings. His publications reflect a sustained engagement with normative epistemology, perceptual epistemology, and metaphysical puzzles. McGrath’s contributions challenge traditional views on evidence, justification, and the relationship between appearance and reality. Grants and advising: No specific grants or advisees listed in available materials. Labs/Teams: Not explicitly mentioned; likely part of the Philosophy Department’s research community at WashU.

Karen BlotnickyView profile

Professor

• Marketing
• Business Education
• Workplace Learning
• +5 more

Dr. Karen Blotnicky , a tenured Professor in the Department of Business and Tourism at Mount Saint Vincent University (Halifax), specializes in marketing and multidisciplinary research. With over 35 years of applied research experience and a former small business columnist for The Sunday Herald and CBC Radio One , she co-founded TMC The Marketing Clinic (1993–2017). Education : BA-Honours and MBA from Saint Mary’s University, Ph.D. from Northcentral University. Research Interests : Pandemic impacts on female entrepreneurs, workplace learning, health/wellness marketing, gender portrayal in advertising, pharmaceutical marketing ethics, and STEM education equity. Grants : WAGE Canada grant (2021–2024) for pandemic recovery research, multiple internal MSVU grants for studies on student experience, pharmaceutical ethics, and healthy eating behaviors. Publication Trends : Her recent work examines Indigenous women’s business funding access, student learning from extracurricular programs, and childhood memory impacts on health behaviors. Earlier studies analyze gender equity in hotel management, STEM career engagement, and advertising strategies. Scientific Awards : Best Paper in Track Award, American Society of Business and Behavioral Sciences (2023, 2022, 2018). Courses Taught : Principles of Marketing, Marketing Analytics, Integrated Marketing Communications, Tourism Research Methods, and Quantitative Methods in Nutrition Research.

Frances BonnerView profile

Adjunct Associate Professor

• Film and Television Studies
• Cultural Studies
• Celebrity Studies
• +3 more

Frances Bonner is an Honorary Adjunct Associate Professor at the University of Queensland's School of Communication and Arts. Her research focuses on film and television studies, cultural studies, celebrity culture, and media representation. She has published extensively on topics such as lifestyle media, reality television, and the representation of women in media. Education and Academic Background : While specific degree details are not listed, her extensive publication record and academic roles indicate a strong scholarly background in media and cultural studies. Research Interests : Bonner’s work examines the intersection of media, culture, and identity. Key areas include: Celebrity studies, particularly Australian celebrity narratives Lifestyle and reality television, including gardening and food media Gender representation in media, including women’s magazines and game shows Television history and cultural memory Articles and Trends : Her recent work analyzes the cultural impact of pandemic-era media, the legacy of iconic figures like David Attenborough, and the persistence of classic TV shows. Themes of nostalgia, cross-platform storytelling, and the sociopolitical dimensions of media representation recur in her research. Awards and Grants : No specific awards are listed, though her prolific publication record underscores her scholarly contributions. Labs and Collaborations : She is affiliated with the Digital Futures Lab at the School of Communication and Arts, exploring emerging media technologies and their cultural implications.

• Business and Management
• Marketing
• Sociology
• +3 more

Mark Kennedy is an Associate Professor in the Department of Management and Entrepreneurship at Imperial College London’s Business School, and leads the Data Science Institute (DSI). He teaches on Ph.D., Masters, and Executive courses in the Business School and DSI. His research focuses on how innovations become socially recognized categories (social ontologies), analyzing their diffusion, acceptance, and societal impact across domains like technology, business, and law. He employs quantitative text and network analysis to study emerging social realities and collective reactions. Research interests include AI’s impact on work and society, cultural/legal precedents in innovation diffusion, task-mining from job descriptions, and social network dynamics in advice-seeking. He has affiliations with the Data Science Institute, Centre for Infrastructure Robotics Ecosystems, and Artificial Intelligence Network. Publications appear in top journals such as Academy of Management Journal , American Sociological Review , and Organization Science . Current projects investigate AI evolution, opposition dynamics in diffusion, task dependencies in job roles, and social network formation for professional advice. No scientific awards are explicitly listed, but his work contributes to foundational debates in innovation sociology and organizational theory. Advising and grants details are not provided in available texts. He is part of multidisciplinary teams at the DSI and collaborates across Imperial’s research ecosystems.

Laura DenardoView profile

Assistant Professor

• Neuroscience
• Cortical Circuits
• Medial Prefrontal Cortex (mPFC)
• +4 more

Laura Denardo, PhD, is an Assistant Professor in the Department of Physiology at the David Geffen School of Medicine, UCLA. She holds a dual BA in Molecular and Cell Biology and Art Practice from UC Berkeley (2007) and a PhD in Neurosciences from UC San Diego (2013). Her postdoctoral work at Stanford University with Dr. Liqun Luo focused on cortical microcircuits and the development of the TRAP2 tool for activity-dependent genetic labeling. Her research investigates medial prefrontal cortex (mPFC) circuit organization and function in health and psychiatric disorders. Research Interests : The DeNardo lab studies how mPFC circuits mediate adaptive behaviors like fear memory and avoidance. They explore developmental mechanisms of mPFC circuits and their vulnerability to disorders like anxiety and autism. Techniques include viral-genetic tools, transgenic mice, and whole-brain imaging. Recent Article Trends : Recent work highlights mPFC circuit dynamics in threat avoidance, hypothalamic aggression circuits, and microglial roles in synaptic development. Her 2025 studies reveal developmental changes in fear memory networks and top-down circuit architectures. Awards : 2024 Vallee Scholar Award 2021 Klingenstein-Simons Fellowship 2019 BBRF Young Investigator Award 2017 McKnight Endowment Fellowship Lab & Grants : The DeNardo lab opened at UCLA in 2019. Current grants include NIH awards (NIMH, NINDS) and foundation support. They collaborate on projects linking mPFC dysfunction to psychiatric diseases.

Hazem ToutounjiView profile

Lecturer

• Computational Neuroscience
• Reinforcement Learning
• Avoidance Behavior
• +5 more

Dr. Hazem Toutounji is a Lecturer in Psychology at the University of Sheffield's School of Psychology. His research focuses on computational neuroscience, reinforcement learning, and avoidance behavior, with a particular interest in how these processes underpin cognitive flexibility and psychiatric disorders. He leads the Neural Dynamics and Computation Lab and collaborates with institutions such as the University of Nottingham. Education: Dr. rer. nat. in Cognitive Science M.Sc. in Computational Science B.Sc. in Electronic Engineering His research interests include modeling avoidance behavior using reinforcement learning frameworks, abstract rule learning, and species-conserved neural mechanisms. He integrates computational models with experimental data to explore how neural dynamics support adaptive cognition. Recent work examines the computational underpinnings of avoidance in humans and its implications for anxiety disorders. Dr. Toutounji supervises PhD students in projects such as 'Modelling avoidance using reinforcement learning,' which explores avoidance behavior across health and disease. He is affiliated with the Neuroscience Institute and contributes to interdisciplinary initiatives in cognitive neuroscience. His collaborative approach spans experimental psychology, computational modeling, and clinical applications.

• Virology
• Immunology
• Infectious Diseases
• +5 more

Jun. Prof. Dr. Niels Lemmermann is an Assistant Professor at the Institute of Virology , University of Bonn. His research focuses on the molecular and immunological mechanisms governing acute and latent cytomegalovirus (CMV) infections, particularly the interplay between host immune responses and viral immune evasion strategies. His work utilizes mouse models to investigate CMV pathogenesis, including latency establishment, T cell therapy efficacy, and viral reactivation risks in immunocompromised hosts. Research interests include adoptive T cell therapy, viral latency dynamics, and the role of immune evasion proteins in CMV persistence. He explores how CMV manipulates antigen presentation pathways to avoid immune detection, with implications for clinical scenarios such as hematopoietic cell transplantation. Recent studies address SARS-CoV-2 surveillance, antiviral CD8 T cell priming, and mechanisms of immune evasion in viral infections. Key contributions include identifying direct antigen presentation as the primary pathway for CD8 T cell priming during immune reconstitution and elucidating how stochastic CMV transcription episodes drive 'memory inflation' in T cells. His lab also investigates mast cell contributions to antiviral immunity and the impact of comorbidities (e.g., obesity) on T cell functionality. Publications highlight advancements in CMV vector engineering for immunotherapy, NKG2D-mediated T cell survival pathways, and the molecular basis of viral immune evasion. His work bridges fundamental virology with translational medicine to improve antiviral strategies and combat CMV-associated complications in immunosuppressed patients.

Jishen ZhaoView profile

Professor

• Computer Architecture
• System Software
• Machine Learning
• +5 more

Professor Jishen Zhao leads research in computer architecture, system software, and machine learning at UC San Diego's Jacobs School of Engineering. He heads the Non-Volatile System Laboratory (NVSL), ML Systems Group, and contributes to PRISM and MICS centers. His work spans memory systems, ML-infused architectures, and autonomous vehicle computing systems. Recent achievements include ACM SIGSOFT Distinguished Paper (ISSTA 2024), IEEE Micro Top Picks recognition (2021-2022), and MICRO Hall of Fame induction (2019). He advises Ph.D. students like Hengyu Zhao and Xiao Liu, and collaborates on tools like PRO-V for RTL verification and MAGE for hardware design. Key research areas include persistent memory systems (e.g., SubZero filesystem), hardware-software co-design (e.g., Learn-to-Share framework), and autonomous vehicle safety (COLA latency optimization). He serves on program committees for ISCA, MICRO, and HPCA, reflecting his industry leadership in computer architecture.

Maret Anne GrapengeterView profile

Research Fellow

• History of Education
• Scandinavian Studies
• Memory Studies
• +3 more

Maret Anne Grapengeter is a Doctoral Research Fellow at the Department of Archaeology, Conservation and History, University of Oslo. She holds a B.A. in History and Spanish from Humboldt-Universität Berlin (2020) and an M.A. in Modern International and Transnational History from the University of Oslo (2023). Her research focuses on educational mobility between Norway and Denmark (1850–1914), memory studies, and the intersection of literature and historical narrative. Education: Bachelor's in History/Spanish (2020) – Humboldt-Universität Berlin Master's in Modern International/Transnational History (2023) – University of Oslo Research Interests: Maret investigates preconditions for student mobility abroad, national identity formation through education, and how museums/ literary works memorialize historical figures. She has explored topics like the role of missionary Giovanni Battista Scalabrini in Italian migrant communities during her internship at the German Historical Institute in Rome (2021). Projects: Participates in the project 'Persistence or Change? – Lessons from the introduction of enhetsskolen in Denmark and Norway.' Groups: Member of the History of Capitalism research group. No academic awards or grants explicitly mentioned. No listed publications in Cristin database as of 2024.

Ivy PengView profile

Associate Professor

• High-Performance Computing (HPC)
• Cloud Computing
• Parallel Computing
• +6 more

Ivy Peng is an Associate Professor of Computer Science at KTH Royal Institute of Technology’s School of Electrical Engineering and Computer Science (EECS), where she leads the Scalable Computing Laboratory (ScaLab). She also holds a Docent title in Parallel Computing and is affiliated with the Digital Futures Faculty and the Cooperate Working Group. Prior to Sweden, she worked at the Lawrence Livermore National Laboratory (LLNL) as a Computer Scientist and as a post-doctoral fellow at Oak Ridge National Laboratory (ORNL) in the USA. Her research focuses on large-scale parallel systems, system-level optimization through workload and architecture awareness, performance modeling and analysis, and memory subsystem optimization. Key areas include converged HPC and cloud computing, heterogeneous accelerators (e.g., GPUs, RISC-V Vector units, QPUs, DPUs), and heterogeneous memories (e.g., persistent memory, HBM). She also explores disaggregated resources to enhance computing efficiency and scalability. Ivy Peng coordinates the EU Horizon 2022 Project OpenCUBE, which develops open-source cloud-based services for EPI systems, and leads the Swedish Research Council (VR) Grant on Disaggregated Memory for Emerging Parallel Systems. She actively contributes to technical committees and review boards for journals like IEEE TPDS and conferences including SC, ICS, HPDC, and IPDPS. She advises Ph.D. students Jacob Wahlgren, Gabin Schieffer, Ruimin Shi, and Daniel Medeiros, while co-supervising Jeremy Williams and Måns Andersson. Her academic leadership extends to multiple courses at KTH, including Applied GPU Programming, Introduction to High Performance Computing, and Quantum Computing for Computer Scientists.

• High-Performance Computing (HPC)
• Cloud Computing
• Parallel Systems Optimization
• +5 more

Bo Peng is an Associate Professor of Computer Science at KTH Royal Institute of Technology in Stockholm, leading the Scalable Computing Laboratory (ScaLab). Previously, he held roles as a Computer Scientist at Lawrence Livermore National Laboratory (LLNL) and a postdoctoral fellow at Oak Ridge National Laboratory (ORNL). He coordinates the EU Horizon 2022 Project OpenCUBE and leads a Swedish Research Council (VR) grant on Disaggregated Memory for Emerging Parallel Systems. His research focuses on optimizing large-scale parallel systems through architecture-aware design, performance modeling, and memory subsystem innovation for heterogeneous computing environments. He teaches courses such as Applied GPU Programming, High-Performance Computing, and Operating Systems. As an academic leader, he supervises multiple PhD students and co-supervises additional researchers. His service includes roles on technical program committees for top conferences like IEEE TPDS, SC, and ICS, and journals like IEEE Transactions on Parallel and Distributed Systems. Bo Peng’s work has been recognized with prestigious awards, including the R&D 100 Award in 2024. His research bridges HPC and cloud computing, emphasizing scalable systems and resource efficiency in next-generation architectures.