جست‌وجوی استاد و پژوهشگر

Craig Hancockمشاهده پروفایل

استاد پژوهشی

• Geospatial Engineering
• Structural Health Monitoring
• Global Navigation Satellite Systems (GNSS)
• +۳ مورد دیگر

Dr. Craig Hancock is a Research Professor in Geospatial Engineering with 15 years of research experience in Surveying and Geodesy. His expertise spans GNSS error mitigation, structural monitoring, and geospatial techniques for digital construction. He has supervised 10 PhD students and published over 80 academic papers. Education: BSc and PhD in Surveying/Geomatics Key Projects: Principal Investigator for projects on GNSS error mitigation, structural health monitoring, and marine economy technology. His research focuses on three core areas: GNSS error categorization and mitigation (particularly ionospheric effects), structural and environmental change monitoring, and geospatial data acquisition for BIM and digital construction. Recent work includes improving 3D modeling accuracy, UAV-based GNSS spoofing detection, and BIM-enabled facility management in healthcare infrastructure. His articles explore topics like sensor optimization, structural dynamics, and geospatial data fusion. Grants include £150k for bridge deformation studies and £9k for ionospheric error analysis. He actively contributes to teaching and enterprise initiatives, integrating geospatial technologies with industry needs.

• Marine Microbial Ecology
• Protistan Trophic Relationships
• Harmful Algal Blooms
• +۳ مورد دیگر

David Caron is the Captain Allan Hancock Chair in Marine Science and Professor of Biological Sciences at the University of Southern California (USC), affiliated with the USC Dornsife College of Letters, Arts and Sciences. He co-founded the Center for Integrated Networked Aquatic Platforms (CINAPS) and is part of the Wrigley Institute for Environmental Studies. His research focuses on marine and freshwater microbial ecology, particularly protist trophic relationships and harmful algal blooms. Caron holds a Ph.D. from the MIT-Woods Hole Oceanographic Institution Joint Program in Biological Oceanography (1984), an M.S. (1977) and B.S. (1975) in Oceanography and Microbiology from the University of Rhode Island. Research Interests: His work spans protistan ecology, mixotrophic microalgae physiology, Antarctic protist adaptations, and molecular approaches to microbial ecology. He investigates harmful algal bloom dynamics, protist grazing impacts, and the role of environmental drivers in planktonic communities. His studies often integrate field observations, experimental work, and advanced technologies like robotic sampling platforms. Key Achievements: Caron has authored over 100 peer-reviewed publications and pioneered methods in protistan diversity assessment. He received the AAAS Fellowship (2011), American Academy of Microbiology Fellowship (2007), and the USC Raubenheimer Outstanding Senior Faculty Award (2010–2011). He served as President of the International Society of Protistologists (2004–2005). Grants & Labs: He leads CINAPS, which uses autonomous systems to monitor coastal ecosystems. His lab studies microbial communities in the Southern California Bight, focusing on harmful algal toxins (e.g., domoic acid) and their ecological impacts. Collaborations with engineers and roboticists enhance data collection and environmental modeling efforts.

• Structural Equation Modeling
• Psychometrics
• Statistics
• +۵ مورد دیگر

Yves Rosseel is a Professor at Ghent University (UGent) specializing in Structural Equation Modeling (SEM) , Psychometrics , and Statistical Methodology . With over 15 recent publications (2024-2025), he focuses on small-sample SEM solutions, factor score regression, measurement error, and Bayesian extensions. His work bridges Statistics with applications in Psychology , Education , and Neuroimaging . Research Trends Developed Mixture Multigroup SEM for cross-group comparisons Proposed Information-Theoretic Hypergraphs in psychometrics Advanced Two-Stage Estimation for round-robin data Created blavaan R package for Bayesian SEM Investigated Measurement Error in hypothesis testing Scientific Contributions Published 84 Social Sciences papers, 37 Statistics works, and 11 Neuroimaging studies Promoted 8 PhDs including Sara Dhaene and Julie De Jonckere Co-authored 12+ works with Marijke Welvaert and 10+ with Stijn Vanheule

Matthew Jenssenمشاهده پروفایل

دانشیار

• Discrete Probability
• Probabilistic/Extremal Combinatorics
• Statistical Physics
• +۵ مورد دیگر

Matthew Jenssen is a Reader in Probability at King's College London and a UKRI Future Leaders Fellow. He holds a BA and MMath from the University of Cambridge (2012–2013) and a PhD from the London School of Economics (supervised by Jozef Skokan and Julia Boettcher). His research focuses on the intersection of combinatorics, statistical physics, and theoretical computer science, particularly on large-scale structure formation in systems with local interactions. Notable contributions include advancements in sphere packing, Ramsey numbers, and random matrix theory. Jenssen has held postdoctoral positions at the University of Oxford and the University of Birmingham before joining King’s in 2023. His research group at King’s explores discrete probability, extremal combinatorics, and algorithms, with applications to statistical physics and high-dimensional geometry. Key achievements include a groundbreaking improvement on sphere packing lower bounds and resolving extremal questions in graph theory. Jenssen’s work often bridges combinatorial theory with computational methods, yielding impactful results in probabilistic combinatorics. Scientific awards include the UKRI Future Leaders Fellowship (2020). His grants include a 2023–2026 project on statistical physics methods in combinatorics and geometry. Jenssen collaborates widely, with notable co-authors including Will Perkins, Jozef Skokan, and Felix Joos. He is actively involved in the Probability Group at King’s and contributes to international conferences and arXiv publications.

Michael Everettمشاهده پروفایل

استادیار

• Robotics
• Motion Planning
• Control Theory
• +۶ مورد دیگر

Michael Everett is an Assistant Professor at Northeastern University with a joint appointment in the Department of Electrical & Computer Engineering and the Khoury College of Computer Sciences. He directs the Autonomy & Intelligence Laboratory, focusing on certifiable learning machines at the intersection of robotics, deep learning, and control theory. His research emphasizes safety, reliability, and efficiency in robotics applications like off-road navigation and social environments. Education: PhD in Mechanical Engineering, Massachusetts Institute of Technology (2020) SM in Mechanical Engineering, MIT (2017) SB in Mechanical Engineering, MIT (2015) Research Interests: Robotics and motion planning Control theory and neural network verification Reinforcement learning applications Certifiable safety guarantees for autonomous systems Navigation in dynamic/human environments Awards: Runner-Up: Best Paper Award (ICML 2022) Winner: Best Student Paper (IROS 2017/2023) Editors’ Top 5 Published Articles (IEEE Access 2021) Lab & Contributions: The Autonomy & Intelligence Lab develops algorithms for high-speed off-road autonomy, socially aware navigation, and neural feedback verification. His work includes the RAMP planning pipeline and Evora traversability learning framework. He collaborates with Google’s PAIR team on trustworthy AI.

Eric Frewمشاهده پروفایل

استاد

• Autonomous Systems
• Robotics
• Unmanned Aircraft Systems
• +۳ مورد دیگر

Eric Frew is a Professor in the Department of Aerospace Engineering Sciences at the University of Colorado Boulder. He holds leadership roles including Director of the Autonomous Systems Interdisciplinary Research Theme (ASIRT) and former Director of the Research and Engineering Center for Unmanned Vehicles (RECUV). His research focuses on autonomous systems, heterogeneous unmanned aircraft systems, and optimal distributed sensing. He earned his PhD from Stanford University in 2003, and has been a faculty member at CU Boulder since 2004. Education: PhD, Aeronautics and Astronautics, Stanford University, 2003 MS, Aeronautics and Astronautics, Stanford University, 1996 BS, Mechanical Engineering, Cornell University, 1995 Research Interests: Networked unmanned systems Optimal distributed sensing Controlled mobility in sensor networks Miniature self-deploying systems Guidance and control of unmanned aircraft in complex atmospheric phenomena Notable Awards: Outstanding Mentor Award (2023) AIAA Associate Fellow (2013) NSF CAREER Award (2009) Grants and Labs: Leads the Center for Autonomous Air Mobility and Sensing (CAAMS), and has conducted field campaigns such as TORUS (Targeted Observation by Radars and UAS of Supercells). His work integrates theoretical research with practical deployment of autonomous systems for environmental monitoring and severe weather studies. Labs/Teams: Active in CAAMS and RECUV, collaborating with industry/government on pre-competitive research in autonomous air mobility and sensing.

Aviad Rubinsteinمشاهده پروفایل

استادیار

• Algorithms
• Complexity Theory
• Game Theory
• +۳ مورد دیگر

Aviad Rubinstein is an Assistant Professor of Computer Science at Stanford University, specializing in theoretical computer science with a focus on algorithms, complexity, and game theory. He has taught courses such as Design and Analysis of Algorithms (CS161), Incentives in Computer Science (CS269i), and Topics in Intractability (CS354). His research interests include approximation algorithms, computational complexity, and fair division, with notable work on envy-free cake-cutting and prophet inequalities. He advises several PhD students including Joshua Brakensiek and Ruiquan Gao, and mentors postdocs like Soheil Behnezhad. His undergraduate mentoring includes students from Tsinghua and Berkeley. Rubinstein has received the Kalai Prize from the Game Theory Society and a FOCS Best Paper Award for his work on inapproximability of Nash equilibria. Rubinstein co-authored Algorithms for Toddlers with Mary Wootters, a book simplifying computational concepts for younger audiences. He also organizes workshops on topics like fine-grained complexity and early career mentoring in computer science. Beyond academia, he consults part-time for the blockchain startup Lava. His research frequently bridges theoretical foundations with practical implications, such as developing algorithms with real-world applications in auctions, mechanism design, and optimization under constraints.

Vibor Rojeمشاهده پروفایل

استادیار

• Environmental Chemistry
• Analytical Spectrometry (ICP-AES/ICP-MS)
• Trace Element Analysis in Environmental Samples
• +۳ مورد دیگر

Professional Summary Dr. Vibor Roje is an Assistant Professor at the University of Zagreb's Faculty of Forestry and Wood Technology , specializing in environmental chemistry and analytical spectrometry. He holds a PhD and has held academic positions since 1999, progressing from Junior Assistant (1999–2004) to Senior Research Associate (2013–present). His work focuses on trace element analysis in environmental samples, particularly soils and waters, using advanced techniques like ICP-AES and ICP-MS. Research Interests Multi-element analysis of environmental samples (soil, water, plant material) Development of spectrometric methods for trace metal quantification Geochemical studies of Croatian ecosystems (e.g., Medvednica Mountain, Plitvice Lakes) Soil pollution assessments in urban and industrial areas Affiliations & Roles In addition to teaching courses like Basics of Chemistry and Documentation and Informatics in Scientific Work , Dr. Roje collaborates with institutions like the Ruđer Bošković Institute (2004–2009) and has contributed to projects such as Wood4STEM promoting STEM education in forestry. His research emphasizes sustainable environmental practices and interdisciplinary approaches to ecological challenges. Grants & Collaboration Contributed to institutional research projects at the Faculty of Forestry and Wood Technology Active in international conferences (e.g., BIOSTAT, European Urban Forestry Forums)

Koit Herodesمشاهده پروفایل

دانشیار

• Analytical Chemistry
• Mass Spectrometry
• Chromatography
• +۳ مورد دیگر

Koit Herodes is an Associate Professor in the Chair of Analytical Chemistry at the University of Tartu's Institute of Chemistry. His expertise includes chromatography, mass spectrometry, and analytical method development. He teaches courses such as Analytical Chemistry, Practical Chemical Analysis, and LC-MS Methods Validation, catering to both domestic and international students (EACH and AMS programs). Since 2001, he has advised numerous BSc, MSc, and PhD students across various curricula. Research interests focus on advanced analytical techniques, environmental analysis (e.g., antibiotic resistance, pharmaceutical residues), and sample preparation methodologies. His work spans pharmaceutical degradation in soils, biofilm antibiotic resistance, and NMR-based material characterization. He has pioneered derivatization reagents and micro-solid-phase extraction devices for amino compound analysis. Notable contributions include over 150 peer-reviewed articles since 2008, emphasizing methodological innovations in chromatography-mass spectrometry, environmental monitoring, and pediatric pharmacokinetics. His 2022 'Best Teacher' award reflects his dedication to education, particularly in bridging theoretical and practical aspects of analytical chemistry. Publications from 2023–2025 highlight trends in antibiotic resistance dynamics, sewage sludge-derived pharmaceuticals, and Arctic methane cycles. His work often integrates environmental and biomedical applications, addressing global challenges in healthcare and sustainability. Awards: Best Teacher, Institute of Chemistry, University of Tartu (2022) Advising spans 23 years, with over 50 student projects completed. Active in international collaborations, particularly within Baltic-Nordic analytical chemistry networks.

Andrew Harringtonمشاهده پروفایل

مدرس

• Biodiversity
• Conservation Biology
• Molecular Biology
• +۳ مورد دیگر

Dr. Andrew Harrington is a Lecturer in the Department of Science at South-East Technological University. His research focuses on biodiversity assessment, conservation biology, and molecular biology techniques applied to ecological studies. He specializes in using environmental DNA (eDNA) and metabarcoding to analyze bat feces and other biological samples to understand ecosystem dynamics and species interactions. His work addresses topics such as insect biodiversity, vector species identification (e.g., mosquitoes), and the dietary habits of endangered bat species like Rhinolophus hipposideros. Collaborations include projects on Ireland’s biodiversity and the application of molecular methods to ecological monitoring. Dr. Harrington has contributed to peer-reviewed articles and conference presentations since 2018, emphasizing innovative approaches to ecological assessment. He is currently accepting PhD students interested in these research areas.

Keyvan Hashtrudi-Zaadمشاهده پروفایل

استاد

• Haptics
• Telerobotics
• Tele-rehabilitation
• +۵ مورد دیگر

Keyvan Hashtrudi-Zaad is a Professor in the Department of Electrical and Computer Engineering at Queen's University, affiliated with the Smith School of Engineering and the Ingenuity Labs Research Institute. His expertise spans robotics and control systems, with a focus on haptics, telerobotics, tele-rehabilitation, autonomous vehicles, and medical robotics. He holds the email addresses keyvan.hashtrudi-zaad@queensu.ca and khz@queensu.ca, and his office is located in Walter Light Hall, Room 427. Research Interests: His research emphasizes human-robot interaction, haptic interfaces, autonomous systems, and mechatronics. Key areas include kinesthetic haptics, collaborative teleoperation systems, energy storage systems for electric vehicles, and medical robotics applications such as needle deflection estimation and rehabilitation robotics. His work bridges theoretical control systems with practical applications in healthcare and autonomous technologies. Publications: His recent work addresses challenges in haptic system stability, energy-efficient inverters for electric vehicles, and teleoperation networks. Notable projects include a cable-driven parallel robot for stroke rehabilitation and a study comparing DC/BLDC actuators for haptic feedback. His research often integrates sensor fusion, nonlinear control, and dynamic modeling to solve real-world problems. Awards and Recognition: While specific awards are not listed, his extensive publication record and leadership in interdisciplinary robotics initiatives highlight his contributions to the field. He is part of the Interactive Robotics and Intelligent Systems (IRIS) Laboratory, advancing innovations in medical robotics and autonomous systems. Grants and Collaborations: His work likely involves collaborations across engineering and medical disciplines, supported by grants focused on robotics, control systems, and healthcare technologies. The IRIS Lab serves as a hub for developing cutting-edge solutions in haptic training systems and assistive robotics.

• Environmental Biotechnology
• Bioremediation
• Microbial Ecology
• +۳ مورد دیگر

Mengyan Li is an Associate Professor in the Department of Chemistry and Environmental Science at New Jersey Institute of Technology (NJIT). Her research focuses on environmental biotechnology, bioremediation of emerging contaminants, microbial ecology, and water treatment technologies. She holds grants from the National Science Foundation (NSF) and U.S. Geological Survey (USGS), including projects addressing 1,4-Dioxane biodegradation, biochar-enabled filtration systems, and antibiotic resistance mitigation. Li has authored over 60 peer-reviewed articles and is actively involved in media outreach, discussing topics like microplastics and antibiotic resistance. Her research employs cutting-edge techniques such as machine learning for enzyme evolution and genomic analysis of microbial communities. Key projects include: CAREER: Tackling Solvent-Stabilizer Co-contamination (NSF, 2019–2026) INFEWS: US-China Biochar Filtration for Sustainable Rice Agriculture (NSF, 2019–2025) Li’s work bridges environmental chemistry and engineering, with a focus on practical solutions for water contamination challenges. She collaborates internationally and has developed innovative methods for detecting and remediating pollutants like PFAS and fluorotelomer carboxylic acids.

Heather Campbellمشاهده پروفایل

مدرس ارشد

• Entomology
• Biodiversity Conservation
• Community Ecology
• +۳ مورد دیگر

Dr. Heather Campbell is a Senior Lecturer in Entomology at Harper Adams University's Agriculture and Environment Department. Her research focuses on insect biodiversity conservation, community ecology, and social insects, particularly in arid ecosystems of southern Africa. She employs citizen science and explores insect-plant interactions to address ecological challenges. Professional affiliations include Fellowship of the Royal Entomological Society and membership in the British Ecological Society. Education includes a PhD, MSc, and BSc (Hons) in relevant fields. Key research interests span ant ecology, biopesticide development, and sustainable pest control strategies in agricultural systems. Recent work emphasizes integrating citizen science for biodiversity mapping and leveraging technology in ecological research education. Publications highlight innovative approaches to pest control, ant behavior studies, and global entomology priorities. Her work bridges academic research and practical applications, such as developing lure-and-kill systems for thrips and advancing biopesticide solutions for crop pests. Ongoing projects include exploring the impacts of climate change on insect communities in arid regions. Dr. Campbell actively advises on entomology education and outreach, contributing to public understanding of insect conservation through visual guides and media engagement. She leads the Entomology Group at Harper Adams University, fostering collaborative research networks across Africa and the UK.

Philipp Reissمشاهده پروفایل

استاد

• Lunar Exploration
• Planetary Resources
• Space Instrumentation
• +۳ مورد دیگر

Prof. Philipp Reiss is a Professor of Lunar and Planetary Exploration Technologies at the Technical University of Munich (TUM), part of the TUM School of Engineering and Design. His academic journey includes a doctorate in lunar exploration (2018) and postdoctoral leadership of a research group, followed by ESA work on lunar mission instruments. He was appointed to his current role in 2022. Education: Bachelor's/Master's in Aerospace Engineering from Bremen University of Applied Sciences and TUM Doctorate in Lunar Exploration (TUM, 2018) Research Focus: Development of instruments for in-situ resource characterization (e.g., water detection on the Moon) Simulation of heat/mass transport in extraterrestrial environments Technologies for extreme environment exploration Legal and ethical frameworks for space resource utilization Recent Article Trends: Recent work emphasizes lunar water cycle analysis, space resource extraction technologies, and ESA mission instrument development. Key projects include PROSPECT payload design and thermal extraction of volatiles from regolith. Awards and Roles: ERC Grant Awardee (2024), Honorary Fellow at TUM Institute for Advanced Study Principal Investigator at ORIGINS Excellence Cluster (2022–present) Member of ESA’s PROSPECT science team (2019–present) Contributions to UN space resource legal discussions Advising & Grants: Supervises research projects on lunar rover systems and resource utilization. Secured funding through ERC grants and ESA collaborations. Advises on international space policy initiatives. Labs/Teams: Leads the Lunar and Planetary Exploration Professorship group at TUM, collaborating with ESA, JAXA, and the European Lunar Symposium. Active in developing planetary exploration tools like the PROSPECT permittivity sensor and MULE instrumentation.

• Computer Vision
• 3D Computer Vision
• Machine Learning
• +۸ مورد دیگر

Federico Tombari is a Director of Research at Google Zurich and a Lecturer (Privatdozent) at the Chair of Computer Aided Medical Procedures (CAMP) at TUM. He leads applied research in Computer Vision and Machine Learning, focusing on 3D vision, robotics, augmented reality, autonomous driving, and healthcare applications. His work emphasizes unsupervised learning, large multimodal models, neural radiance fields, and scene graphs. Education & Professional Background: As PD Dr. Ing. Habil., he holds a habilitation in engineering and has been active in academic and industrial research for over a decade. His roles include Area Chair for top conferences like CVPR and ECCV, and Associate Editorships for journals like IJRR. Research Interests: Federico’s research spans 3D scene understanding, object recognition, SLAM, and novel view synthesis. He explores applications in surgical robotics, autonomous systems, and medical imaging. Recent trends in his work include generative models for scene generation and semantic scene graphs for holistic modeling. Grants & Industry Collaborations: He has led projects with Toyota, BMW, Audi, Zeiss, and others, focusing on 3D perception, autonomous driving, and medical vision. His work bridges academia and industry, emphasizing practical applications. Labs & Teams: He contributes to labs like DHM (Deutsches Herzzentrum München), NARVIS Lab, and RobUSt (Robotics and Ultrasound), advancing interdisciplinary research in healthcare and robotics.