جست‌وجوی استاد و پژوهشگر

• Developmental Psychology
• Environmental Epidemiology
• Maternal-Child Health
• +۳ مورد دیگر

Thomas G. O'Connor is a Professor in the Department of Psychiatry and Director of the Wynne Center for Family Research at the University of Rochester Medical Center . His academic journey includes a Ph.D. in Clinical Psychology from the University of Virginia (1995), an MA in Psychology (1991), and a BA in Psychology from the University of Rochester (1989). His research focuses on mechanisms linking early stress exposures (prenatal maternal anxiety, caregiving stress) to persistent child behavioral and biological health outcomes. Methodologically, he employs epidemiological, observational, and experimental designs , integrating behavioral, physiological, genetic, and immunological methods . Key areas include environmental epidemiology, developmental psychology, and maternal-child health. His recent publications (2024-2025) analyze the impacts of phthalates, PFAS, flame retardants, and air pollution on child neurodevelopment, asthma, and obesity. These studies leverage the Environmental influences on Child Health Outcomes (ECHO) Program across multiple sites. Scientific accolades include the Association Distinguished Scientific Award for Early Career Contribution to Psychology (2004) and the Boyd McCandless Award (2001) . His work bridges psychoneuroendocrinology, environmental toxicology, and pediatric epidemiology , with significant contributions to understanding how maternal stress and environmental exposures shape child health outcomes. Collaborations span institutions like the University of Virginia, Harvard, and Columbia University. Current projects examine gut microbiome development, placental biology, and epigenetic mechanisms in the context of environmental stressors. He also investigates COVID-19 pandemic impacts on maternal-infant health dynamics.

• Environmental Chemistry
• Analytical Chemistry
• Toxicology
• +۴ مورد دیگر

Martin Krauss is a prominent environmental chemist and researcher with extensive contributions to contaminant analysis, pesticide fate, and bioavailability studies. His work spans 2000-2025, focusing on advanced analytical techniques like LC-HRMS, Orbitrap mass spectrometry, and biota-to-soil accumulation factor modeling. Key research areas include: Environmental fate of nitrosamines, PAHs, and PCBs Development of extraction methods for complex matrices Covalent binding mechanisms in soil organic matter Toxic pressure assessment in aquatic ecosystems Integration of omics data into toxicokinetic-toxicodynamic (TKTD) models Non-target screening of emerging contaminants His articles demonstrate methodological innovations in environmental monitoring, combining solid-phase extraction , high-resolution mass spectrometry , and biological assays . Recent work (2025) explores wastewater discharge patterns through temporal clustering , while 2024 studies link gene expression to zebrafish embryo toxicity . Collaborations with Juliane Hollender, Wolfgang Wilcke, and Werner Brack highlight his interdisciplinary approach across environmental science , analytical chemistry , and toxicology . His findings inform chemical risk assessment frameworks and pollution mitigation strategies.

Maryam Kamgarpourمشاهده پروفایل

استادیار

• Control Theory
• Game Theory
• Mechanism Design
• +۶ مورد دیگر

Maryam Kamgarpour is a Tenure Track Assistant Professor at École Polytechnique Fédérale de Lausanne (EPFL), School of Engineering. She previously held faculty positions at the University of British Columbia and ETH Zürich. Her work bridges stochastic control , multiagent learning , and game theory , focusing on safety-critical systems. Education: PhD in Engineering from UC Berkeley, BSc in Applied Science from University of Waterloo. Research Interests: Control under uncertainty, game theory, mechanism design, mixed-integer optimization, and applications to transportation, robotics, power grids, and healthcare. Her recent publications emphasize safe reinforcement learning , multirobot coordination , and stochastic trajectory planning , with applications to aircraft navigation and energy systems. She has received the European Union ERC Starting Grant, NASA High Potential Individual Award, and IEEE Transactions on Control of Network Systems Outstanding Paper Award. Scientific Awards: ERC Starting Grant (2016-2021) NASA High Potential Individual Award (2010) NASA Excellence in Publication Award IEEE Outstanding Paper Award (2022) PhD Students: Jordan Philip Christopher Maddux Anna Maria Ni Tingting Ren Kai Salizzoni Giulio Schlaginhaufen Andreas Vaishampayan Saurabh Dilip Vallat Gabriel Rémi Former EPFL student: Guo Baiwei

• Conservation Biology
• Reproductive Biology
• Cryobiology
• +۴ مورد دیگر

Associate Professor John Clulow is an Honorary Associate Professor at the School of Environmental and Life Sciences , University of Newcastle. His career spans Conservation Biology and Reproductive Biology, with a focus on amphibian conservation and male reproductive physiology. He has contributed extensively to Amphibian sperm cryopreservation and fluid transport in reproductive ducts , collaborating with Assoc Prof M Mahony and Assoc Prof RC Jones. Education: PhD, University of Newcastle; Bachelor of Arts; Bachelor of Science (Honours) Research expertise includes: Amphibian conservation technologies Cryopreservation of gametes and embryos Chytrid fungal disease mitigation Comparative reproductive physiology Efferent duct fluid reabsorption mechanisms His 2021-2025 publications highlight innovations in: Thermal imaging drones for wildlife monitoring Salinity manipulation against chytrid Wetland design for disease management Cryoprotectant optimization Genetic resource allocation models Scientific Award: European Academy of Andrology Prize (1997) Teaching: Forensic biology, biotechnology commercialization, and zoology Administration: Program convenor for BSc (Forensics); manager of amphibian holding facilities

• Computer Vision
• Mobile Devices
• Assistive Technology
• +۳ مورد دیگر

Dr. Juan Manuel Sáez Martínez is a full professor in the Department of Computer Science and Artificial Intelligence at the University of Alicante's Higher Polytechnic School II. With a PhD in Computer Engineering and over two decades of academic experience since 2000, he specializes in Computer Vision and Mobile Device Applications for accessibility, particularly for the blind and visually impaired. His groundbreaking NaviLens project—a digital signage system patented internationally by the University of Alicante and licensed to Neosistec SL—represents a significant contribution to assistive technology. Teaching experience across 15+ years in programming fundamentals, computer systems, and internships for telecommunications and multimedia engineering Supervised one PhD thesis on structural similarity in object recognition Active in public research projects including airport navigation systems and airborne obstacle detection for the visually impaired His research interests focus on computer vision algorithms , stereo-based wearable devices , and ultra-efficient artificial vision systems for mobile platforms . Recent work includes biomedical informatics applications like 3D obstacle detection and accessibility-oriented UI design. He has participated in 10+ competitive public research projects (2016-2021) while contributing to technology transfer initiatives. Teaching contributions include 4 quinquennials (five-year terms) and 14+ years of instruction in Programming Fundamentals I for Telecommunication Sound and Image Engineering. Notable collaborations include co-authorship with Dr. F. Escolano on entropy-based SLAM algorithms and Gaussian mixture models for image processing. Current research emphasizes practical applications through the Mobile Vision Research Laboratory (MVRLab) .

• Soil Science
• Environmental Monitoring
• Agricultural Pollution
• +۳ مورد دیگر

Nikola Rakonjac is a Researcher at Wageningen University & Research's Soil Physics and Land Management department, focusing on soil-water interactions and contaminant dynamics in agricultural systems. His work spans environmental monitoring, pharmaceutical pollution, and irrigation optimization. Research Areas: Soil contamination, veterinary pharmaceutical emissions, subirrigation systems, and passive sampling techniques. Projects: Co-investigator in the EU-funded FARMWISE project (2024-2026) and completed his PhD in 2023 on the SUSPECt approach for contaminants of emerging concern. Collaborations: Partnerships with Dutch institutions on nutrient management and water quality in agricultural regions.

Adrian Borsمشاهده پروفایل

مدرس ارشد

• Computer vision
• Computational intelligence
• Image processing
• +۴ مورد دیگر

Adrian Bors is a Senior Lecturer in the Department of Computer Science at the University of York. His research focuses on computer vision, computational intelligence, image processing, and pattern recognition, with expertise in neural networks and digital watermarking. He received his MSc from the Polytechnic University of Bucharest (1992) and a PhD from Aristotle University of Thessaloniki (1999). His career includes research roles at Tampere University of Technology, Aristotle University of Thessaloniki, and the University of York, where he has been a Lecturer since 2000 and Senior Lecturer since 2001. His recent publications emphasize task-free continual learning, generative modeling, and steganalysis. Key trends include dynamic neural architectures, vision transformers, and applications of optimal transport theory in lifelong learning systems. He is an IEEE Senior Member and contributes to editorial roles in IEEE Transactions.

Alba Ester Illera Giganteمشاهده پروفایل

پژوهشگر

• Food Biotechnology
• Sustainable Food Processing
• Non-thermal Food Preservation
• +۴ مورد دیگر

Alba Ester Illera Gigante is a Researcher in the Department of Biotechnology and Food Science at the Faculty of Sciences, University of Burgos, specializing in sustainable food processing technologies and biomass valorization through non-thermal methods. She earned her PhD in 2019 from the University of Burgos with the thesis "Study of non-thermal technologies to preserve the quality of fresh foods," supervised by Dr. Teresa Sanz Díez and Dr. Sagrario Beltrán Calvo. Her research focuses on Food Biotechnology and Sustainable Food Processing , with expertise in Non-thermal Food Preservation using subcritical water, high-pressure carbon dioxide, and cold plasma systems. She pioneers Biomass Valorization techniques for agricultural residues (corn stover, okara) and food industry byproducts (fish waste, brewer's spent grain) to produce furfural, lactic acid, and protein hydrolysates while addressing Food Safety through microbial decontamination. Analysis of her 15 most recent publications (2022-2025) reveals dominant work in subcritical water-CO 2 systems for biomass conversion, with secondary emphasis on cold plasma applications for poultry decontamination. Her studies consistently feature kinetic modeling, process optimization, and sustainability assessments across biorefinery cascades. Dr. Illera Gigante actively supervises graduate theses as indicated by her departmental profile's "Theses" section and secures research funding through the Consolidated Research Unit 128. She has developed multiple experimental protocols for enzyme inactivation and value-added compound extraction. She leads the BIOIND Industrial and Environmental Biotechnology research group, operating advanced laboratories for non-thermal processing, kinetic studies, and product characterization focused on creating scalable eco-friendly food technologies.

• Neuroscience
• Neurology
• Biomedical Engineering
• +۶ مورد دیگر

Sana Amoozegar is a Research Fellow at the Department of Neurology within the University of Minnesota Medical School . Her work bridges Neuroscience , Biomedical Engineering , and Neurotechnology through deep brain stimulation (DBS) research. Her research focuses on: Therapeutic applications of DBS in Parkinsonian models Neural network modulation in subthalamic pathways Development of closed-loop neuromodulation systems Neuroimaging techniques for seizure localization Recent publications demonstrate expertise in Neuroengineering , including DBS optimization (2025), subthalamic coherence analysis (2024), and LFP-based stimulation systems (2022). She also contributes to Cardiac Risk Prediction (2018) and Neurological Signal Processing (2013).

Alex Whiteمشاهده پروفایل

مدرس ارشد

• Thermofluids
• Two-Phase Flow
• Thermodynamics
• +۶ مورد دیگر

Dr. Alex White is a Senior Lecturer in Thermofluids at the Department of Engineering, Cambridge University, and a Fellow and Director of Studies at Peterhouse. He earned his undergraduate and PhD degrees from King's College, Cambridge, and conducted postdoctoral research in Cambridge, Lyon, and Toulouse before returning to Cambridge in 2000 as part of the Energy Group. His research focuses on two-phase flow (vapour-droplet flows), thermodynamics of power generation, Computational Fluid Dynamics (CFD), and heat pumps. His work includes theoretical and numerical studies on warm dense matter, electron transport, and energy storage systems like pumped thermal and compressed air storage. Recent publications emphasize warm dense matter physics, inertial confinement fusion, and thermal energy storage innovations. His theoretical analyses and simulations span high-energy-density plasmas, nonlocal electron stopping power, and hybrid energy systems. While no scientific awards are documented, his contributions to thermofluids and extreme condition physics are significant.

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).

• Pharmacology
• Chemotherapy
• Cytofluorimetry
• +۳ مورد دیگر

Sabrina Pacor is an Associate Professor in Applied Biology (BIO/13) at the University of Trieste , where she teaches Pharmacology in the Pharmacy LM and STB BSc programs. With over 30 years of research experience in experimental oncology and host defense peptides, she has made significant contributions to studying antimicrobial peptides (AMPs) and their interactions with bacterial membranes. Her research focuses on: Direct antimicrobial activity of AMPs against Gram-positive and Gram-negative bacteria Indirect immunomodulatory effects of host defense peptides Development of drug delivery systems using nanomaterials (carbon nanotubes, gold nanoparticles) Mechanistic studies of ruthenium-based antimetastatic drugs She leads extensive cytofluorimetry research using flow cytometry platforms, particularly for evaluating: Cytotoxicity (necrosis/apoptosis, proliferation index) Modulation of host biological responses (chemotaxis, phagocytosis, ROS production) Peptide-bacterial membrane interactions through fluorescent labeling Her recent work demonstrates trends in: Proline-rich antimicrobial peptides against ESKAPE pathogens Hybrid antibiotic design (peptide-aminoglycoside conjugates) Structure-activity relationships in membranolytic peptides Evolutionary insights into defensin and cathelicidin families Prof. Pacor has co-authored over 100 peer-reviewed publications and actively mentors students, having supervised: 70 experimental/thesis reviews for Pharmacy/CTF Master's students 20 Bachelor's degree theses

Venkatesh Murthyمشاهده پروفایل

استاد

• Neuroscience
• Olfaction
• Neural Circuits
• +۳ مورد دیگر

Venkatesh Murthy serves as the Raymond Leo Erikson Life Sciences Professor of Molecular & Cellular Biology at Harvard University and co-directs the Harvard Brain Science Initiative. His laboratory is housed within the Faculty of Arts and Sciences at Harvard's Biological Laboratories in Cambridge, Massachusetts. His research investigates the neural and algorithmic basis of odor-guided behaviors in terrestrial animals, primarily using mouse models. The Murthy Lab develops naturalistic behavioral paradigms that enable simultaneous electrophysiological recordings, high-resolution optical imaging, and optogenetic manipulation. Key research areas include neural circuit dynamics in the olfactory system, modification of circuits through behavioral state and learning, and development of computational models to explain neural observations. The lab maintains strong interdisciplinary collaborations with theoretical neuroscientists. Recent publications (2023-2025) reveal consistent focus on olfactory navigation mechanisms, neural signal processing algorithms, circuit-level analysis of social behaviors, and biomimetic applications for electronic sensing systems. Work spans experimental techniques including multi-animal pose estimation (using DeepLabCut), neural deconvolution methods, and analysis of fluctuating odor environments. The Murthy Lab operates within Harvard's Department of Molecular & Cellular Biology as part of the broader Harvard Brain Science Initiative ecosystem, contributing to research in Cognitive and Behavioral Neuroscience, Theory and Computation, and Sensory and Motor Systems.

Femke Vossepoelمشاهده پروفایل

استاد

• Data Assimilation
• Geosciences
• Subsidence Modeling
• +۴ مورد دیگر

Femke Vossepoel is a Professor of Earth System Simulation at the Delft University of Technology 's Faculty of Civil Engineering & Geosciences. She leads a research group focused on data assimilation in geosciences, integrating observations with dynamic Earth-system models to address challenges in urban heat islands, subsidence, and seismic hazard forecasting. Her interdisciplinary background spans oceanography, petroleum engineering, and climate resilience. Research Focus Earthquake occurrence estimation using advanced filtering algorithms Subsidence due to subsurface fluid extraction Climate resilience applications in urban environments AI-enhanced data assimilation for CO2 storage optimization Her work bridges geoscience and computational methods, with key roles in EU's Destination Earth initiative and the UrbanAIR consortium. She received funding from the Dutch Research Council (NWO), Delphi Consortium, and Petrobras for her innovative projects.

Andrew Braggمشاهده پروفایل

دانشیار

• Turbulence
• Fluid Dynamics
• Theoretical Fluid Dynamics
• +۱۲ مورد دیگر

Andrew Bragg is an Associate Professor in the Department of Civil and Environmental Engineering at Duke University's Pratt School of Engineering. His research focuses on turbulence and fluid dynamics with applications in environmental systems, including atmospheric and oceanic flows, sediment transport, and climate modeling. Research Interests: His primary research areas include the physics and modeling of turbulence, theoretical and computational fluid dynamics, and applied mathematics. He investigates multiscale turbulent transport phenomena, especially in environmental contexts where unresolved scales challenge large-scale models. His work integrates statistical physics, high-performance computing, and collaboration with experimentalists. The recent publications (2024–2023) reflect a strong trend in understanding turbulence across environmental and engineered systems. Key themes include particle and scalar transport in stratified and wall-bounded flows, bubble-induced turbulence, surfactant effects, Lagrangian modeling, and subgrid-scale parameterizations for climate models. The research spans fundamental fluid mechanics to applied environmental engineering, often using advanced computational and theoretical frameworks. Scientific Awards: National Science Foundation CAREER Award (2021) EUROMECH Young Scientist Award (2017) Advising and Grants: While specific students are not listed, Dr. Bragg has secured competitive funding, notably the NSF CAREER award, indicating active mentorship and research leadership. He teaches graduate-level courses such as ME/CEE 634/688: Turbulence and CEE 690: Advanced Topics in Civil and Environmental Engineering, suggesting involvement in training the next generation of researchers. Labs and Teams: Dr. Bragg collaborates extensively with researchers across institutions and disciplines, including experimentalists and modelers in atmospheric science, mechanical engineering, and environmental engineering. His work is part of a broader effort to improve predictive models for environmental resilience and risk assessment.