جست‌وجوی استاد و پژوهشگر

David Thieltgesمشاهده پروفایل

استاد

• Marine Ecology
• Ecological Parasitology
• Biodiversity and Disease Risk
• +۶ مورد دیگر

David Thieltges is a Senior Scientist at the Royal Netherlands Institute for Sea Research (NIOZ) and an Honorary Professor of Marine Parasite Ecology at the University of Groningen. His research focuses on marine ecology, ecological parasitology, and the impacts of climate change and species invasions on parasite dynamics. PhD in Ecology (summa cum laude), Christian Albrechts University Kiel (2006) MSc in Biology (summa cum laude), Philipps University Marburg (2001) Thieltges investigates the ecological role of parasites in marine ecosystems, including their influence on food webs, biodiversity, and disease risk. His work spans experimental and theoretical approaches, with a focus on invasive species, climate change, and large-scale biogeographical patterns. His recent publications highlight trends in parasite invasions, climate-driven host-parasite shifts, and the application of stable isotope analysis in trophic interactions. These studies span mudflat ecology, shellfish disease, and global parasite biodiversity. Scientific Recognition: 29th Petersen Excellence Professorship (2023) DFG Postdoc Fellowship (2007) DAAD Postdoc Fellowship (2006) Thieltges supervises PhD and MSc students on topics including parasite invasions, disease ecology, and climate change. He collaborates with institutions across Europe and contributes to international projects like EU Biodiversa+ IMPACT. His lab at NIOZ integrates field experiments, molecular methods, and biogeographical modeling. Partnerships with the University of Otago, Aarhus University, and the Alfred Wegener Institute inform his cross-disciplinary approach to marine parasite ecology.

Mark Fenskeمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Emotion Regulation
• Attention
• +۵ مورد دیگر

Mark Fenske is a Professor in the Department of Psychology at the University of Guelph . His research focuses on the intersection of cognition, emotion, and motivation , utilizing neuroimaging, behavioral studies, and psychophysiological techniques. Key Research Themes: Cognition-emotion interactions, attention, memory, visual and auditory cognition, neuroimaging, and cognitive control mechanisms. Public Engagement: Author of the bestselling book The Winner's Brain and contributor to the Better Brain column in the Globe & Mail . Lab Affiliation: Leads the Cognitive-Affective Neuroscience Lab , which investigates how cognitive processes influence emotional and motivational states. Collaborations: Works with trainees and students across disciplines, including co-authored studies on boredom, attention, and neuroimaging applications.

Saerom Leeمشاهده پروفایل

استادیار

• Organizational Structure
• Venture Scaling
• Human Capital Acquisition
• +۳ مورد دیگر

Saerom Lee is an Assistant Professor of Management at the Wharton School of the University of Pennsylvania, specializing in organizational design and venture scaling within early-stage firms. His research examines how startups acquire and structure human capital during critical growth phases. Lee's research interests focus on organizational structure , human capital acquisition , and venture scaling in entrepreneurial contexts. His work reveals counterintuitive dynamics such as how flatter hierarchies reduce female applicant pools, how autonomy emphasis backfires in recruitment, and why premature scaling increases startup failure risk. Through computational modeling and large-scale field experiments, he bridges organizational theory with practical entrepreneurial challenges. His publication trends show increasing focus on political sorting in labor markets and gendered organizational effects, building on foundational work in startup structural complexity. Recent articles demonstrate methodological diversity spanning job posting analysis, field experiments with actual startups, and computational modeling. Wharton Teaching Excellence Award (2021, 2022, 2023) Strategic Management Society Best Conference Ph.D. Paper Prize (2019) INFORMS/Organization Science Dissertation Proposal Competition Winner (2019) Industry Studies Association Dissertation Award Runner-up (2021) Strategy Science Conference Best Paper Award (2022) Lee teaches core MBA and undergraduate strategy courses including Business Strategy (MGMT2230) and Managing Emerging Enterprises (MGMT6120), focusing on organizational challenges during rapid scaling. His research has secured partnerships with actual startups for field experiments and generated significant media attention through Harvard Business Review and Knowledge@Wharton features. He directs computational research on span-of-control dynamics and organizational adaptation, collaborating with scholars like J. Daniel Kim and Reuben Hurst on projects examining political sorting in recruitment and acquisition integration strategies.

• Hydrology
• Water Resources Engineering
• Evapotranspiration modeling
• +۳ مورد دیگر

Dr. SZILÁGYI József is a Professor at the Department of Hydraulic and Water Resources Engineering at the Faculty of Civil Engineering, Budapest University of Technology and Economics. He teaches courses such as Hydrography and Hydroinformatics, Hydrological Modelling and Forecasting, and Hydrology I. His research primarily focuses on evapotranspiration modeling, climate change impacts on water systems, groundwater recharge analysis, and the development of the complementary relationship approach for hydrological modeling. Email: szilagyi.jozsef@emk.bme.hu Office Location: K. ép / mf. 12/8 Research Interests: Evapotranspiration modeling and validation Climate change impacts on water resources Groundwater recharge in dune environments Hydrological modeling and forecasting Remote sensing of water resources Complementary relationship theory in hydrology Recent Research Trends: Dr. Szilagyi's recent publications demonstrate a strong focus on evapotranspiration modeling using the complementary relationship approach across various global regions including China, the Tibetan Plateau, and Nebraska. His work addresses climate change impacts on alpine vegetation, evaporation dynamics in relation to land surface temperature, and calibration-free hydrological modeling techniques. Scientific Awards: BME 240 - 250th Anniversary Scholarship/Donor Contributions: Dr. Szilagyi has made significant contributions to hydrological modeling through the development of the calibration-free complementary relationship (CR) approach for evapotranspiration estimation, which has been applied at both regional and continental scales. He has also worked on evapotranspiration mapping techniques (CREMAP) and analyzing the impacts of irrigation on regional climate systems.

F. Robin O'Keefeمشاهده پروفایل

استاد

• Marine Paleontology
• Evolutionary Biology
• Vertebrate Anatomy
• +۱۰ مورد دیگر

Dr. F. Robin O'Keefe is a Professor in the Department of Biology at Marshall University, West Virginia, where he has taught over 2000 undergraduates since 2006. His research focuses on marine reptiles from the age of dinosaurs and Pleistocene megafauna at Rancho La Brea, with expertise in plesiosaur reproduction and evolutionary biology. B.A. in Honors Biology , Stanford University (1992) Ph.D. in Evolutionary Biology , University of Chicago (2000) His research spans: Marine reptile evolutionary patterns (plesiosaurs, elasmosaurids) Paleoecological analysis of Rancho La Brea carnivores Permian reptile morphology and systematics Statistical approaches to phenotypic covariance 3D scanning applications in skeletal preservation Publications in Science , Nature , and PNAS demonstrate his contributions to understanding viviparity in marine reptiles and Pleistocene ecosystem dynamics. He was awarded the 2013 Drinko Distinguished Research Fellowship and has mentored 19 completed Master's theses with two in progress. Contact: okeefef@marshall.edu

• Ambient Intelligence
• Decision Support Systems
• Intelligent Systems
• +۵ مورد دیگر

Ana Maria Neves de Almeida Baptista Figueiredo is a Coordinator Professor and academic leader at the Institute of Engineering of Polytechnic of Porto (ISEP/IPP). She currently serves as President of the ISEP Scientific Council (since 2018), Sub-Director of post-graduation programmes in Big Data & Decision Making and Industry 4.0, and holds numerous leadership roles in accreditation processes including A3ES, EUR-ACE, and ABET. She is a Senior Researcher at GECAD (Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development) and member of LASI (Associated Laboratory of Intelligent Systems). Education: PhD in Industrial and Systems Engineering (2003) from University of Minho MSc in Electronic and Computer Engineering - Specialization in Industrial Informatics (1996) from University of Porto BSc in Industrial Informatics (1993) from Polytechnic Institute of Oporto - Institute of Engineering BSc in Electronic Engineering (1990) from Polytechnic Institute of Oporto - Institute of Engineering Professor Figueiredo specializes in Ambient Intelligence, Decision Support Systems, and Intelligent Systems with applications spanning multiple domains. Her research combines artificial intelligence, big data analytics, and user-centered design to develop innovative solutions. She has particular expertise in creating personalized systems that adapt to user needs and contexts, with strong emphasis on practical applications in real-world settings. Her publication record reveals consistent research activity across three main application domains: tourism technology (personalized recommendation systems, smart travel planning), Industry 4.0 (intelligent manufacturing, production scheduling), and healthcare (respiratory monitoring, medical diagnostics). The research demonstrates a clear trajectory from foundational work in scheduling algorithms to increasingly sophisticated intelligent systems incorporating machine learning, sensor networks, and emotional computing. Awards and Recognition: 2017 Award of merit for scientific publication in TELEMATICA AND INFORMATICS journal 2017 Prémio SPAIC – AstraZeneca for FRASIS respiratory monitoring project 2013 PIPED honorable mention for Android e-learning platform 2012 1st place in POLIEMPREENDE entrepreneurship competition with NearTour project 1995 Best student award in Industrial Informatics Engineering Professor Figueiredo has supervised 3 completed PhD theses with 1 ongoing, and more than thirty MSc dissertations. She has participated as Principal or Co-Principal Investigator in 6 projects and as Researcher in more than 20 projects, securing funding from FCT and other agencies. Her work has been supported by significant grants including TheRoute, GROUPLANNER, Smartravel, ATT, InVALUE, INVALUE_PT, NIS, PIANISM, Cyberfactory, SECOIIA, and produtech_R3. She leads research activities within GECAD and LASI, collaborating with international teams from Spain, Canada, USA, Czech Republic, Turkey, and Italy. Her work bridges academic research with practical applications through partnerships with business organizations, public entities, and professional associations across multiple sectors.

• Control Systems
• Signal Processing
• Automation Engineering
• +۱ مورد دیگر

Professor Minyue Fu is an Honorary Professor in the School of Engineering at the University of Newcastle, Australia, specializing in Electrical and Computer Engineering. With over 30 years of research experience, he has established himself as a leading expert in control systems and signal processing, having published over 500 research papers with an H-index of 55. His academic journey began with a Bachelor's degree from the University of Science and Technology of China, followed by M.S. and Ph.D. degrees from the University of Wisconsin-Madison. Prof. Fu's research interests span a broad range of topics in control theory and signal processing. His work consistently focuses on fundamental theoretical problems with practical applications in diverse fields including power systems, sensor networks, multi-agent systems, and cyber-physical systems. He has made significant contributions to distributed control algorithms, stochastic systems, quantization effects in control, and networked systems. His recent publications (2021-2024) demonstrate continued productivity and relevance in the field, with research spanning decentralized optimal control, anomaly detection in cyber-physical systems, cart-pole control systems, and mean-field games. These works reflect his ability to bridge theoretical control concepts with practical engineering challenges, particularly in the context of modern networked and distributed systems. Fellow of IEEE (2004) Fellow of IFAC (2022) Fellow of Engineers Australia Fellow of Chinese Association of Automation (2018) Throughout his career, Prof. Fu has held significant editorial positions including Editor of IEEE Transactions on Signal Processing (2010-2014) and Associate Editor for several prestigious journals. His research has been supported by numerous grants, though specific details aren't provided in the current text. His laboratory work has focused on practical implementations of control algorithms in various systems, demonstrating the real-world applicability of his theoretical contributions. Prof. Fu has also supervised numerous students throughout his career, though specific names aren't listed in the available information.

Andrzej Wicherمشاهده پروفایل

دانشیار

• Psychoacoustics
• Audiology
• Tinnitus Research
• +۵ مورد دیگر

Andrzej Wicher serves as Associate Professor and Head of the Department of Acoustics within the Faculty of Physics and Astronomy at Adam Mickiewicz University (UAM) in Poznań, Poland. His academic leadership extends to membership on the Council of Disciplines of Physical Sciences and Astronomy since 2016, and previous service as Deputy Director of the Institute of Acoustics (2016-2019). Internationally, he holds an honorary Adjunct Professor position at La Trobe University in Melbourne, Australia. Wicher's research spans psychoacoustics, audiology, and auditory neuroscience, with particular focus on tinnitus mechanisms, otoacoustic emissions (especially DPOAE), binaural hearing phenomena, and speech intelligibility assessment. His work integrates clinical applications with fundamental auditory system modeling, recently expanding into environmental noise impacts—particularly wind turbine acoustics—on cognitive functions. This research portfolio reflects through 15+ recent publications showing consistent interdisciplinary connections between auditory diagnostics, neurological assessment, and real-world sound environments. His scientific contributions are recognized through multiple Rector's Awards for both organizational and scientific activities at UAM (2015-2024). As an active member of the Polish Academy of Sciences' Committee on Acoustics, European Acoustical Society, and Polish Acoustical Society, he contributes to the global acoustics community while co-organizing major conferences including the Open Seminar in Acoustics and Fechner Day. Wicher's teaching program includes specialized courses in psychoacoustics, hearing diagnostics, and auditory system analysis. His research infrastructure benefits from international collaborations with institutions including University of Cambridge, Tohoku University, University of Manchester, and University of Minnesota, supported through national (NCN) and international (EU FP6, NOR/POLNOR) grants.

Mohammad Mahdi Khaliliمشاهده پروفایل

استادیار

• Machine Learning
• Theoretical Machine Learning
• Applied Machine Learning
• +۶ مورد دیگر

Mohammad Mahdi Khalili is an Assistant Professor in the Department of Computer Science and Engineering at The Ohio State University's College of Engineering. He also serves as a part-time Research Scientist at Yahoo! Research, focusing on theoretical and applied machine learning with emphasis on robustness, interpretability, and model compression for large-scale systems including LLMs. Dr. Khalili earned his Ph.D. in Electrical Engineering and Computer Science and MSc in Applied Mathematics from the University of Michigan, Ann Arbor. Prior to OSU, he was a research scientist at Yahoo Research and a postdoctoral researcher at UC Berkeley. His research spans mechanistic interpretability of foundation models , privacy-aware model compression , and fairness in sequential decision-making . Current projects include counterfactual reasoning for fair ML, physiological signal analysis for worker health monitoring, and corruption analysis in model mechanisms. His work bridges theoretical guarantees with practical healthcare and security applications. Recent publications reveal strong focus on model compression techniques (block-wise sparsity, quantization) and interpretability methods for LLMs, with growing emphasis on physiological signal processing applications. The 2024-2025 papers show increasing integration of healthcare domains like ECG analysis and construction worker monitoring. Dr. Khalili currently advises four PhD students: Zhiqun Zuo: Counterfactual Reasoning Zhongteng Cai: Privacy-Aware Model Compression (UAI travel grant recipient) Ding Zhu: Trustworthy Model Compression & Time Series Analysis Vishnu Chhabra: Mechanistic Interpretability His research is supported by two NSF grants (health monitoring systems and dynamic environment robustness), a Translational Data Analytics Institute grant for medical AI, and a College of Engineering grant for large-scale systems. The lab recently acquired a dedicated GPU server for intensive computations. He actively contributes to the ML community through invited talks (Midwest Machine Learning Symposium) and publications in top venues including NeurIPS, ICML, and UAI.

Martin Magnussonمشاهده پروفایل

استاد

• Robotics
• Artificial Intelligence
• Autonomous Systems
• +۵ مورد دیگر

Martin Magnusson is a Professor at the Department of Natural Sciences and Technology, Örebro University, leading the Center for Applied Autonomous Sensor Systems (AASS) and the Robot Navigation and Perception Lab . His research focuses on robotics and artificial intelligence , particularly 3D mapping, localization, radar-based navigation, and human-robot interaction . Email: martin.magnusson@oru.se Phone: +46 19 303870 Location: Room T1222 His work addresses fundamental challenges in achieving robust autonomy through innovations like the 3D Normal Distributions Transform (3D-NDT) and methods for scan registration in dynamic environments. Recent research extends to radar-based navigation and heterogeneous map data integration , with ethical implications regarding military applications of autonomous systems. Key research themes include: Autonomous Perception: Radar and lidar sensor fusion for localization Dynamic Mapping: Flow-aware and quality-assessed environmental models Human-Aware Robotics: Predictive modeling for safe shared-space navigation Professor Magnusson teaches Computer Graphics , connecting academic principles (e.g., ray tracing, light scattering) to applied research in radar simulation models and neural rendering . His research projects span DARKO (agile production robots), NiCE (changing environment navigation), and Radarize (underground autonomous vehicles).

• Artificial Intelligence
• Machine Learning
• Recommender Systems
• +۶ مورد دیگر

Maria Salamo Llorente is an Associate Professor and researcher in the Department of Mathematics and Computer Science at the University of Barcelona (UB) . She leads the Teaching Innovation Group 'Innovació Docent en Matemàtiques i Informàtica' and is a core member of the Language and Computation Center (CLiC-UB) . Her career spans from postdoctoral work at University College Dublin to extensive contributions in artificial intelligence.

• Lighting Design
• Urban Lighting
• Museum Lighting
• +۲ مورد دیگر

Malcolm Innes is a Senior Lecturer at the Edinburgh Napier University's School of Arts and Creative Industries . With over 10 years of research outputs, his work spans lighting design, smart textile applications, and heritage conservation. Specializes in lighting for historical sites Leader in community co-design urban lighting Expert in light-sensitive material preservation Research trends focus on: Merging art and science in illumination Smart textiles for performance environments Heritage site lighting innovation Projects include: 12 Closes Community Co-design (2016-2022) Dunbar SciFest Projection (2015) Edinburgh Zoo Night Trail (2014-2015)

Chris Selbachمشاهده پروفایل

دانشیار

• Parasite Ecology
• Aquatic Parasitology
• Host-Parasite Interactions
• +۴ مورد دیگر

Chris Selbach serves as an Associate Professor in Ecological Parasitology within the Department of Arctic and Marine Biology at UiT The Arctic University of Norway, a position he assumed in August 2022. His research spans international collaborations with institutions in South Africa (North-West University), New Zealand (University of Otago), Denmark (Aarhus University), the Czech Republic (Biology Centre CAS), and Germany (University of Duisburg-Essen), focusing on parasite-host dynamics in aquatic ecosystems. Dr. Selbach investigates fundamental questions in parasite ecology including the roles of parasites in ecosystems, host behavioral responses to parasitism (e.g., "fear of parasites"), and climate change impacts on trematode transmission. His work integrates field studies, experimental manipulations, and global meta-analyses to explore how temperature fluctuations affect infection dynamics and how host behavioral defenses alter ecosystem functioning in coastal and freshwater environments. Analysis of his 2020-2025 publications reveals a dominant focus on trematode infections under environmental stressors, with recurring themes of temperature-parasite relationships, host behavioral adaptations, and parasite biodiversity. His research increasingly bridges parasite ecology with the One Health framework, connecting aquatic parasite dynamics to human and environmental health concerns as evidenced by studies on SARS-CoV-2 ecology and swimmer's itch risk assessment. Scientific awards and honors were not mentioned in available information. While specific advising roles and grant funding details are absent from the provided text, his extensive collaborative publications and leadership in the TPOINT Project indicate active research mentorship and externally funded initiatives. Dr. Selbach leads the TPOINT Project, which appears central to his current research agenda in environmental parasitology. His international network supports investigations into parasite responses to anthropogenic stressors across diverse aquatic ecosystems, from European freshwater systems to Arctic marine environments.

• Forest Ecology
• Biodiversity Conservation
• Climate Change Adaptation
• +۳ مورد دیگر

Bengt-Gunnar Jonsson is a Professor in the Department of Biology at Mid Sweden University's School of Natural Science, Design and Sustainable Development. With over 25 years of research experience, he specializes in boreal forest ecology, deadwood dynamics, and biodiversity conservation. His work focuses on wood-inhabiting fungi , lichen communities , and forest fragmentation effects , particularly in northern Sweden's high conservation value forests . Jonsson has been pivotal in developing green infrastructure models and climate-adaptive forestry strategies . Key research themes: forest conservation, fungal ecology, climate change mitigation, deadwood management Research tools: presence-absence sampling, Bayesian modeling, long-term ecological monitoring Policy contributions: EU Biodiversity Strategy evaluations, IPBES initiatives His recent publications (2025-2020) demonstrate sustained expertise in forest carbon dynamics , saproxylic community analysis , and landscape-scale conservation . Jonsson frequently collaborates with international researchers on temperate and boreal forest biodiversity , with notable work on functional ecology and ecosystem service trade-offs . Current projects include 'Climate - collaborative learning initiative' and 'Functional green infrastructure in boreal forests' . Scientific contributions span multiple systematic reviews in environmental management, including Forest Ecology and Management and Environmental Research Letters . He has co-authored Cambridge University Press 's Biodiversity in Dead Wood and contributed to IPBES policy frameworks. Jonsson's research integrates empirical forest monitoring with theoretical ecological modeling , particularly in wood decomposition processes and fungal community dynamics .

Wayne Brakeمشاهده پروفایل

استاد

• Neuroendocrinology
• Cognitive Neuroscience
• Dopamine Neurobiology
• +۵ مورد دیگر

Wayne Brake, PhD is a Professor in the Department of Psychology at Concordia University, Montreal. His research focuses on neuroendocrinology and behavioral neuroscience, particularly estrogen's role in cognitive strategies and dopamine transmission. Education: BSc in Psychology (Dalhousie University), MSc in Psychology (Carleton University), PhD in Neurological Sciences (McGill University, 1999) Previous Positions: Assistant Professor at University of California, Santa Barbara; Postdoctoral Fellow at Rockefeller University Research Highlights The Brake lab investigates how ovarian hormones regulate brain plasticity through two major projects: Estrogen's modulation of memory systems (hippocampus vs. striatum) and dopamine transmission in female rats Hormonal influences on schizophrenia symptomology and antipsychotic drug responses Publication Trends Recent work emphasizes estrogen's effects on: Cognitive strategy selection (2013-2014) Dopamine receptor interactions (2013-2014) Postpartum neuroplasticity (2011) Neurodevelopmental programming from perinatal stress (2007, 2004) Sex differences in neurochemistry (2012, 2002) Lab Team Current Students: Anne Almey (PhD), Dema Hussain (PhD), Waqqas Shams (PhD), Arne Hantson (MA), Czarina Evangelista (MA) Alumni: Matt Quinlan (Cal State faculty), Dan Madularu (McGill Post Doc), Nicole Gervais (U Mass Post Doc)