جست‌وجوی استاد و پژوهشگر

Stephan Leitnerمشاهده پروفایل

دانشیار

• Agent-Based Modeling and Simulation
• Organizational Dynamics
• Complex Systems
• +۵ مورد دیگر

Associate Professor at the University of Klagenfurt , affiliated with the Department of Management Control and Strategic Management under the Faculty of Economics and Law . Research focuses on agent-based modeling applied to organizational dynamics , complex systems , and managerial economics . Holds a doctoral degree in Social Sciences and Economics (2012) and venia docendi in Business Economics (2018) . Core faculty member in the Self-Organizing Systems research cluster Academic editor for PLoS ONE and editorial board member for multiple journals Recipient of the 2021 Advancement Award (Humanities/Social Sciences) from Carinthian government Research integrates computational simulation with organizational theory , examining phenomena like decentralized task allocation , incentive mechanisms , and reproducibility in social sciences . Teaching portfolio includes business analytics , management control , and scientific modeling at undergraduate and graduate levels. Recent publications explore organizational resilience , team coordination dynamics , and financial modeling using agent-based simulation techniques. Active participant in international conferences like Social Simulation Conference and European Conference on Operational Research .

Sabine Schulte im Waldeمشاهده پروفایل

دانشیار

• Computational Linguistics
• Natural Language Processing
• Lexical Semantics
• +۵ مورد دیگر

Prof. Sabine Schulte im Walde is an Associate Professor at the University of Stuttgart's Institute for Natural Language Processing. She holds affiliations with the International Max Planck Research School for Intelligent Systems (IMPRS-IS), ELLIS Society, and CLARIN-D. Her research focuses on computational modeling of lexical-semantic phenomena, including compositionality of noun compounds and particle verbs, abstract/concrete semantics, and diachronic language change. She has contributed to datasets on association norms for German compounds and led projects on multimodal semantic analysis. Research Interests: Her work bridges computational linguistics and cognitive science, emphasizing data-intensive methods. Key areas include semantic classification of verbs, metaphor detection, and evaluating semantic relations using distributional models. She explores how abstractness influences plausibility judgments and investigates semantic shifts in compounds over time. Awards: Nominated for AcademiaNet by the German Research Foundation (DFG). Active in professional societies including ACL, GSCL, and DGfS. Publications span over 50 peer-reviewed articles in venues like Computational Linguistics and ACL. Labs/Teams: Leads research on computational terminology and semantic change analysis at the Stuttgart Research Focus Language and Cognition (SRF). Collaborates internationally on projects like the DURel annotation tool for diachronic semantics.

Hernan G. Reyمشاهده پروفایل

استادیار

• Anterior Temporal Lobectomy
• Drug Resistant Epilepsy
• Electroencephalography
• +۶ مورد دیگر

Hernan G. Rey, PhD, is an Assistant Professor in the Department of Neurosurgery at the Medical College of Wisconsin (MCW) and the Marquette-MCW Joint Department of Biomedical Engineering. He previously held an Assistant Professor position at Baylor College of Medicine until July 2022. His research focuses on understanding human episodic memory, improving epilepsy diagnosis and treatment, and developing tools for electrophysiological data analysis. Rey's lab records single-neuron activity and intracranial EEG from epilepsy patients to investigate brain mechanisms underlying memory and neurophysiological processes. Education: PhD in Engineering, University of Buenos Aires (2009) Postdoctoral Fellowship in Biomedical Informatics, University of Leicester (2012–2015) Bachelor's in Electronics Engineering, University of Buenos Aires (2002) Research Interests: Dr. Rey explores anterior temporal lobectomy, drug-resistant epilepsy, electrophysiology, hippocampal function, machine learning applications in neuroscience, and signal processing. His work bridges clinical neurosurgery, biomedical engineering, and cognitive neuroscience to advance both fundamental understanding and clinical interventions. Publications: His recent work highlights studies on parietal cortex function in action monitoring, single-neuron responses in memory encoding, and neurophysiological correlates of depression. These reflect a focus on translational neuroscience and interdisciplinary collaboration. Awards: EPSRC Rising Star Award (2014) Labs/Teams: The ReyLab drives innovation in electrophysiological data acquisition and analysis, emphasizing clinical application for epilepsy and memory disorders.

Hans-Jörg Vogelمشاهده پروفایل

استاد

• Soil Science
• Environmental Science
• Hydrology
• +۳ مورد دیگر

Prof. Dr. Hans-Jörg Vogel is the Head of the Department of Soil System Science at the Helmholtz Centre for Environmental Research (UFZ) in Halle, Germany. His research focuses on understanding soils as complex systems, emphasizing their porous structure and its role in facilitating water, gas, and matter fluxes, as well as biological processes. He leads interdisciplinary projects integrating experimental and computational approaches to model soil functions under climate and land-use changes. He holds the Emil-Ramann-Medaille 2022 and the Don and Betty Kirkham Soil Physics Award 2022 for contributions to soil science. His work spans soil structure dynamics, denitrification processes, nanoparticle transport, and systemic modeling of soil functions via frameworks like BODIUM. Collaborations include TERENO observatories and the Soil Structure Library (open-access CT data repository). Key affiliations include the UFZ’s Ecosystems of the Future research community and the Soil System Science Team. His research addresses sustainable agriculture, environmental monitoring, and climate change impacts, with over 150 peer-reviewed publications since 2000.

Patrik Wikstromمشاهده پروفایل

استاد

• Computational Communication
• Music Industries
• Algorithmic Culture
• +۳ مورد دیگر

Professor Patrik Wikstrom is a computational communication scholar at Queensland University of Technology (QUT), leading the School of Communication. He serves as Chief Investigator in QUT's Digital Media Research Centre (DMRC) and Associate Investigator in the Australian Research Council's ADM+S Centre. His expertise spans digital media's impact on music and meme cultures, algorithmic systems, and cultural economics. Education: PhD in Media and Communication Studies (Karlstad University), MScEng (Chalmers University). Former roles include Director of DMRC, Associate Dean (Research) at QUT's Creative Industries Faculty, and academic leadership at Northeastern University, Jönköping International Business School, and Karlstad University. Research focuses on digital technologies' societal impacts, including recommender systems, platform governance, and music industry dynamics. Key publications include TikTok: Creativity and Culture in Short Video and The Music Industry: Music in the Cloud . Active in grants like the Australian Cultural and Creative Activity Analysis project (LP160101724). Supervised over 10 doctoral and master's students on topics ranging from platform governance to decolonizing copyright. Current projects explore algorithmic culture, AI ethics, and fair payment models for artists. Labs/Teams: DMRC and ADM+S collaborate on automated decision-making's societal implications. Advocates for responsible AI and interdisciplinary computational methods in social sciences.

Amany Faragمشاهده پروفایل

دانشیار

• Patient Safety
• Medication Safety
• Nurse Fatigue
• +۴ مورد دیگر

Amany Farag is a tenured Associate Professor at the University of Iowa College of Nursing and Co-Director of the VA Quality Scholars Program (Iowa City site). Her work bridges nursing science, human factors engineering, and data science to address critical patient safety challenges, with a specific focus on medication administration practices across healthcare settings. Education: Postdoctoral Scholar, Case Western Reserve University, Frances Payne Bolton School of Nursing PhD, Case Western Reserve University, Frances Payne Bolton School of Nursing MSN, University of Alexandria, Alexandria Egypt BSN, University of Alexandria, Alexandria Egypt Dr. Farag's research centers on reactive and proactive approaches to patient safety , with dual emphasis on medication error reporting systems and nurse fatigue prevention. Her work integrates human factors engineering and machine learning to develop novel interventions. Key themes include understanding how social and system factors influence nurses' error reporting behaviors, examining fatigue as a precursor to errors, and developing self-management strategies for nurse wellness. Recent projects explore intershift recovery, sleep hygiene using consumer technology, and the impact of shift work on cognitive performance. Publication trends reveal a strong focus on interdisciplinary safety science , with consistent output in nursing, human factors, and healthcare quality journals. Her work increasingly incorporates AI methodologies while maintaining clinical relevance to frontline nursing practice. Scientific Recognition: Mary Hanna Memorial Journalism Award (Journal of Peri-Anesthesia Nursing, 2016) Author of the Year (Journal of Emergency Medicine, 2018) Junior Investigator Award (Midwest Nursing Research Society, 2018) Rogers Endowed Lectureship Award (Mississippi Medical Center, 2018) Dr. Farag secures significant funding from national agencies including the National Council of State Boards of Nursing (NCSBN), NIOSH-funded Healthier Workforce Center of the Midwest, CDC-funded Injury Prevention Research Center, and University of Iowa Institute for Clinical and Translational Science. Her collaborative approach spans nursing, data science, ergonomics, and public health teams. As Co-Director of the VA Quality Scholars Program, she mentors future healthcare quality leaders while advancing her research on medication safety systems and nurse fatigue mitigation strategies through interdisciplinary partnerships.

• Machine Learning
• Artificial Intelligence
• Virtual Reality
• +۳ مورد دیگر

Simon Colreavy Donnelly is an Associate Professor in the Department of Computer Science & Information Systems at the University of Limerick. He is a member of the Interaction Design Centre and focuses on interdisciplinary research at the intersection of artificial intelligence, educational technology, and healthcare informatics. His work spans machine learning applications in medical data analysis, virtual reality (VR) and extended reality (XR) for inclusive education, and deep learning techniques in chemical analysis and spectroscopy. Research Interests: His primary areas of investigation include generative AI for education equity, semisupervised learning algorithms, virtual learning environments design, and the ethical deployment of immersive technologies in healthcare and palliative care. He also explores NMR spectroscopy analysis using deep learning and develops tools for nutritional content estimation through image processing. Collaborations: His recent collaborations span international teams addressing challenges in toxicity-free online discourse (PAN 2024), semisupervised learning distribution mismatches, and VR applications for post-pandemic blended learning. His work integrates computational methods with real-world applications in education, healthcare, and chemical analysis. Labs/Teams: Active within the Interaction Design Centre at UL, his research group develops practical solutions for accessibility in digital education and healthcare systems, emphasizing user-centered design principles for extended reality applications.

• Biomedical Informatics
• Data Science
• Machine Learning
• +۷ مورد دیگر

Lucila Ohno-Machado, MD, PhD, MBA, is the Waldemar von Zedtwitz Professor of Medicine and Biomedical Informatics and Data Science at Yale University. She serves as Deputy Dean for Biomedical Informatics and Chair of the Department of Biomedical Informatics and Data Science at the Yale School of Medicine. Her leadership roles include overseeing informatics infrastructure for Yale’s academic health system and fostering interdisciplinary collaboration across departments such as Medicine and the Halicioğlu Data Science Institute (previously at UCSD). Ohno-Machado holds an MD from the University of São Paulo (Brazil), an MBA from Fundação Getúlio Vargas (Brazil), and a PhD in Medical Information Sciences and Computer Science from Stanford University. She has held faculty positions at Harvard Medical School, MIT’s Health Sciences and Technology Division, and the UCSD Health Department of Biomedical Informatics, where she pioneered federated learning and privacy-preserving AI methodologies. Her research focuses on predictive analytics, federated learning, quantum computing in healthcare, and blockchain applications to enhance data security. She emphasizes addressing algorithmic bias and promoting health equity through data-driven solutions. Recent work includes developing frameworks for medical device safety evaluation and guiding principles to mitigate disparities in algorithmic healthcare applications. Key achievements include the Inaugural Helen M. Ranney Award (2024), election to the National Academy of Medicine (2024), and the William W. Stead Award (2019). She has led NIH-funded informatics centers and contributed to the first large-scale clinical data-sharing initiative across five UC medical systems. Her grants span AHRQ, PCORI, NSF, and blockchain-related initiatives through the IT/NIST Challenge Award. Ohno-Machado advises on translational research strategies and mentors teams in YBIC (Yale Biomedical Informatics & Computing). Her lab collaborates globally, leveraging federated models and AI to advance personalized medicine while prioritizing patient privacy. She also chairs the OHER Awards for Yale Research Excellence, promoting interdisciplinary health equity research.

Michael P. Byrneمشاهده پروفایل

دانشیار

• Climate Dynamics
• Atmospheric Science
• Monsoons
• +۳ مورد دیگر

Dr. Michael P. Byrne is an Associate Professor at the School of Earth and Environmental Sciences , University of St Andrews, and a Marie Skłodowska-Curie Research Fellow at the Atmospheric, Oceanic and Planetary Physics Group , University of Oxford. His research focuses on climate dynamics, monsoons, land-climate interactions, and the water cycle. He leads the Climate Dynamics Lab at St Andrews, exploring topics like cloud feedbacks, tropical climate change, and continental-ocean temperature contrasts. He completed his PhD at MIT under Paul O’Gorman. His work bridges theory, models, and observations to address fundamental climate questions, including monsoon dynamics, intertropical convergence zone behavior, and extreme temperature amplification over tropical land. Key contributions include studies on ITCZ width impacts, elevation-dependent warming, and biases in precipitation projections. Education: PhD from Massachusetts Institute of Technology (advisor: Paul O’Gorman) Research Highlights: Cloud feedback mechanisms in tropical climates Land-ocean warming contrasts and their societal impacts ITCZ dynamics and global climate modeling Awards: Marie Skłodowska-Curie Fellowship (Oxford) Labs/Teams: Climate Dynamics Lab (St Andrews), ITCZ-MIP collaboration

• Embedded Systems
• System-on-Chip (SoC) Design
• Computer Architecture
• +۵ مورد دیگر

Professor Klaus McDonald-Maier is a full Professor in the School of Computer Science and Electronic Engineering (CSEE) at the University of Essex , where he leads the Embedded and Intelligent Systems (EIS) Research Laboratory and heads the Intelligent Embedded Systems and Environments Research Group . He is also Director of Impact , Visiting Professor at the University of Kent, and Visiting Research Affiliate at NASA Jet Propulsion Laboratory, California Institute of Technology. Education PhD in High-Performance Parallel Neural Network Architectures, Friedrich-Schiller-University Jena (Germany, 1999) Electronic Engineering studies, University of Ulm (Germany) Electronic Engineering studies, Cardiff University (Wales) Electronic Engineering studies, École Supérieur de Chimie Physique Électronique de Lyon (CPE-Lyon) (France) Research Interests Professor McDonald-Maier’s research integrates embedded systems , System-on-Chip (SoC) architectures , and AI-driven robotics . He pioneers visual place recognition techniques that remain robust under severe appearance and viewpoint changes, develops cybersecurity frameworks based on ICMetrics for autonomous vehicles and IoT, and designs approximate real-time computing solutions for energy-constrained multicore and FPGA platforms. His work on radiation-tolerant systems supports space and nuclear applications, while his bio-inspired algorithms enable lightweight, neuromorphic perception on resource-limited robots. Publication Trends Between 2022 and 2025 his output converges on FPGA-accelerated AI , secure edge intelligence , visual navigation for autonomous systems , and healthcare analytics . He repeatedly couples rigorous algorithmic innovation with practical hardware deployment, yielding energy-efficient, real-time systems validated in domains ranging from autonomous driving to post-stroke rehabilitation. Scientific Awards & Recognition Best Paper Award – IEEE Transactions on Sustainable Computing (2024) Best Paper Award – IEEE/ACM DATE (2024) Best Paper Award – IEEE Systems Journal (2022) Best Paper Award – IEEE Sensors Journal (2021) Best Paper Award – IEEE Access (2020) Research Grants & Industrial Collaboration He has secured major funding from EPSRC , EU Horizon 2020 , Innovate UK , and industry partners. Current projects span trustworthy autonomy, radiation-hardened edge AI, and AI-enhanced rehabilitation technologies. He is Chief Scientist of UltraSoC Technologies Ltd and CEO of Metrarc Ltd , commercialising University research in semiconductor debug and cybersecurity respectively. Laboratory & Team Leadership As Director of the Embedded and Intelligent Systems Laboratory (EIS Lab) , he oversees a multidisciplinary team of researchers and PhD students, providing state-of-the-art FPGA, robotics, and embedded-systems facilities. The lab collaborates closely with NASA JPL, UK Atomic Energy Authority, and leading semiconductor firms to translate fundamental research into high-impact industrial solutions.

Muhammad Azmi UMERمشاهده پروفایل

مدرس

• Machine Learning
• Data Science
• Cyber Physical Systems
• +۳ مورد دیگر

Dr. Muhammad Azmi UMER is a Lecturer at DHA Suffa University and a Ph.D. Scholar at Karachi Institute of Economics and Technology, Pakistan. His research focuses on Machine Learning applications in Cyber Physical Systems (CPS), particularly intrusion detection in industrial control systems like the SWaT testbed. He holds a Master’s in Computer Science from Karachi Institute of Economics and Technology and a Bachelor’s from the University of Karachi. His academic work emphasizes cybersecurity challenges in smart grids, IoT healthcare systems, and adversarial machine learning techniques. Key contributions include developing decision tree-based intrusion detection frameworks and adversarial attack simulations for industrial systems. He collaborates with researchers like Dr. Jit BISWAS and Dr. Eyasu G. CHEKOLE within interdisciplinary teams. Publications span machine learning applications in smart cities, CPS security protocols, and IoT conceptual frameworks. His research bridges theoretical models with practical implementations in critical infrastructure security and urban technology systems.

• Atmospheric environment
• Air quality
• Aerosol science
• +۷ مورد دیگر

Dr. Congrong He is a Senior Research Fellow at the School of Earth & Atmospheric Sciences, Faculty of Science, Queensland University of Technology (QUT), Australia. He has been affiliated with the International Laboratory for Air Quality and Health (ILAQH) at QUT since 1999, contributing over three decades of research in atmospheric and environmental sciences. BSc in Atmospheric Physics, Nanjing University, China (1982) MSc in Environmental Sciences, Murdoch University, Australia (1999) PhD in Aerosol Sciences, Queensland University of Technology, Australia (2005) His research focuses on atmospheric environment, air quality, aerosol science, particle emissions, indoor air, VOCs, and the building environment . He has extensive experience in monitoring and analyzing airborne particles, their formation, health impacts, and environmental behavior. His work bridges environmental science, public health, and engineering, particularly in urban and indoor settings. The recent publications (2019–2025) highlight a strong trend in aerosol dynamics, bioaerosols, indoor air quality, and pollution control . Key themes include the behavior of printer emissions, secondary organic aerosol formation in urban-forest interfaces, the impact of prescribed burning on light-absorbing carbon, and the use of UV-C for pathogen inactivation. His collaborative work with leading researchers like Morawska and Ristovski underscores his integration into high-impact environmental health research. Dr. He has not received any explicitly mentioned scientific awards in the provided text. He has been actively involved in research grants and collaborative projects, particularly within ILAQH, focusing on air quality monitoring, health impacts of aerosols, and emission sources. While no formal students are listed, his work supports broader research teams and projects. He is based at QUT and continues to contribute to critical environmental and public health research.

Ralph Holzمشاهده پروفایل

استاد

• Computer Networks
• Network Security
• Internet Measurement
• +۳ مورد دیگر

Professor Ralph Holz is a leading researcher in computer networks and security at the University of Münster, with a part-time affiliation at the University of Twente. His work focuses on empirical analysis of internet security technologies, policy implications, and interdisciplinary collaboration. PhD: Technical University of Munich Undergraduate/Postgraduate: Eberhard Karls University, Tübingen Research interests span global-scale internet measurement , security technology evaluation , and policy-driven cybersecurity solutions , with recent publications on LDAP vulnerabilities, TLS 1.3 deployment, and BGP hijacking. Teaching includes Empirical Security Analysis (MSc), Operating Systems (BSc), and seminars on internet measurement tools. Collaborations involve institutions across Germany, Netherlands, and Australia. Current team: PhD students: Gerrit Seifert, Nils Kempen, Gustavo Luvizotto, Bulut Ulukapi, Shyam Krishna Khadka, Matteo Liberato, Sousan Tarahomi, Niousha Nazemi Administrative support: Clara Wigger Contact: ralph.holz@uni-muenster.de | Einsteinstr. 62, Münster, Germany

Lindsay Larsonمشاهده پروفایل

استادیار

• Organizational Behavior
• Human-AI Teams
• Cross-Functional Teams
• +۳ مورد دیگر

Overview Lindsay Larson is an Assistant Professor of Organizational Behavior at Carnegie Mellon University's Heinz College. She focuses on how advanced technologies reshape teamwork dynamics, particularly in human-AI collaborations and geographically distributed science teams. Her work integrates organizational behavior, psychology, communication, and human-computer interaction. Education & Career PhD and MA in Media, Technology, and Society (Northwestern University) BS in Psychology (University of Florida) Postdoctoral Research Associate at UNC Chapel Hill's Kenan-Flagler Business School Prior faculty position at Florida International University's College of Business Research Focus Her research explores interpersonal dynamics in technologically-advanced teams, emphasizing leadership challenges and collaboration in digital environments. Key themes include: Ethical implications of AI in team decision-making Virtual team coordination across global time zones Psychological impacts of automation on workplace roles Awards & Recognition Psych of Tech Institute Dissertation Honorable Mention INGRoup J. Richard Hackman Award Finalist Professional Contributions Publications appear in top journals like Academy of Management Discoveries , Leadership Quarterly , and Small Group Research . Active in interdisciplinary academic communities bridging tech and organizational studies.

Mark Morrisonمشاهده پروفایل

استاد مدعو

• Biomedical and Clinical Sciences
• Clinical microbiology
• Gastroenterology and hepatology
• +۳ مورد دیگر

Professor Mark Morrison is an Affiliate Professor at the School of Chemistry and Molecular Biosciences, University of Queensland, and holds roles as Chair & Group Leader of Metagenomics at the Frazer Institute within the Faculty of Health, Medicine and Behavioural Sciences. His research focuses on clinical microbiology, gastroenterology, and the microbiome’s role in diseases like inflammatory bowel disease (IBD) and diabetes. He has extensive academic qualifications, including a Bachelor of Science from the University of New South Wales, a Master’s from James Cook University, and a PhD from the University of Illinois. Education : Bachelor of Science, University of New South Wales Masters (Research) of Science, James Cook University Doctor of Philosophy, University of Illinois His research interests span microbiome-driven health and disease mechanisms, particularly in gut-brain interactions, mucosal microbiota dynamics, and translational therapies. Over 390 works include studies on dietary FODMAP effects, microbiome-based IBD diagnostics, and SCFA therapy for diabetes. He leads interdisciplinary grants on microbiome manipulation and has advised numerous PhD students on topics like Crohn’s disease, archaeal biodiversity, and immune modulation. His recent articles highlight microbiota roles in SIBO, anastomotic leaks, and probiotic efficacy. While no explicit awards are cited, his contributions to gut microbiome science are recognized through active research collaborations and funding. He actively supervises students and chairs teams advancing metagenomics and clinical applications.