جست‌وجوی استاد و پژوهشگر

• 3D Reconstruction
• Scene Understanding
• Autonomous Driving
• +۷ مورد دیگر

Stefano Gasperini is a PostDoc Researcher (part-time) at the Technical University of Munich (TUM), affiliated with the Chair of Computer Science Applications in Medicine (CAMP) under Prof. Nassir Navab. He also serves as Co-Founder & CEO of Visualais, a startup focusing on 3D rendering from smartphone images. His primary roles include advancing reliable 3D scene understanding for autonomous driving and medical applications. He holds a PhD (submitted 2023) in Reliable 3D Scene Understanding from TUM, supervised by PD Dr. Federico Tombari, with prior industry experience at BMW and Airbus. Education : PhD in Informatics (2019-2025), TUM Master in Informatics (2017-2019), TUM Bachelor in Computer Engineering (2013-2016), University of Bologna Exchange at UC Santa Cruz (2015-2016) Research Interests : 3D reconstruction, scene understanding, autonomous driving, robustness in computer vision, domain generalization, and medical image analysis. His work bridges theoretical advancements with practical applications in automotive and medical fields, emphasizing reliability under challenging conditions. Publications : Gasperini’s research focuses on robust 3D perception, adversarial augmentation techniques, and domain generalization. Recent work includes pioneering methods like 3D adversarial augmentations for domain adaptation and novel view synthesis using NeRF extensions. Awards : Outstanding Reviewer awards at CVPR 2025, ECCV 2024, ICCV 2023 Deutschlandstipendium scholarships (2017–2019) Summa Cum Laude (2016) and Provost’s Commendations (2015) Advising & Collaboration : Supervises PhD candidates across TUM and industry partners (BMW, Huawei, Mercedes-Benz). Coordinates the reconstruction research group at CAMP and collaborates on projects with AIT, BMW, and academic institutions. Labs & Teams : Active in TUM’s DHM, IFL, and NARVIS labs, focusing on medical imaging, autonomous systems, and surgical data science. Leads the Visualais startup to commercialize 3D reconstruction technologies.

Oliver Höftbergerمشاهده پروفایل

پژوهشگر

• Cyber-Physical Systems
• Real-Time Systems
• Embedded Systems
• +۵ مورد دیگر

Oliver Höftberger is affiliated with TU Wien's Institut für Technische Informatik , part of the Faculty of Informatics. His research focuses on Cyber-Physical Systems , Real-Time Systems , Embedded Systems , and Resilient Systems-of-Systems . He has contributed to frameworks for self-healing cyber-physical systems and resilient master clocks, emphasizing fault tolerance and dynamic reconfiguration. Publications highlight work on emergence phenomena in systems-of-systems, ontology-based runtime adaptation, and multi-core processor architectures like the ACROSS MPSoC for safety-critical applications. He has advised multiple PhD and Master’s students, including Denise Ratasich, Nazir Alakhras, and Julian Grahsl. Key projects include the universAAL platform for Ambient Assisted Living and sensor fusion packages for robotics (ROS). His research bridges theoretical systems modeling with practical implementations in complex, safety-critical domains.

• Structural Health Monitoring
• Bridge Engineering
• Sensor Networks
• +۲ مورد دیگر

Daniele Zonta serves as a Visiting Professor in the Department of Civil and Environmental Engineering within the Faculty of Engineering at the University of Strathclyde, UK. His internationally recognized expertise centers on structural health monitoring systems for critical infrastructure, particularly bridges, with significant contributions to sensor network development and risk assessment methodologies that have earned him multiple prestigious awards including the 2014 Person of the Year Award in Structural Health Monitoring. His research program integrates advanced sensing technologies with civil engineering principles to address infrastructure resilience challenges. Core interests include structural health monitoring of bridges under dynamic loads, development of early-warning systems for scour risk, earthquake resilience frameworks, and the application of spaceborne SAR for vibration analysis. His work bridges civil engineering and remote sensing disciplines, focusing on practical solutions for infrastructure management under uncertainty. Recent publications (2022-2025) demonstrate evolving expertise in multi-sensor fusion for infrastructure monitoring, with increasing emphasis on AI-driven decision support systems and real-time risk assessment. Key trends include the adaptation of radar technologies for structural monitoring, rigorous statistical frameworks for managing sensor data uncertainty, and the development of threshold-based management systems for bridge scour that integrate hydrological and structural data. Professor Zonta's scientific recognition includes: 2014 Person of the Year Award for outstanding contribution to Structural Health Monitoring 2015 SPIE Senior Member distinction 2015 Best Young Researcher Paper Award (SHMII-7) 2015 Best Paper Award (SHMII-5) 2011 Best Paper Award (IEEE-IPSN 2009) His research is supported by major grants including the Horizon Europe TURNKEY project (2019-2022) developing earthquake early-warning systems, and an NERC-funded project (2017-2018) creating decision support systems for bridge scour management. These projects involve extensive international collaboration across European institutions and industry partners, focusing on translating sensor data into actionable risk management strategies for transportation infrastructure. While specific laboratory affiliations aren't detailed in the source material, his research utilizes advanced structural monitoring facilities at the University of Strathclyde and collaborates with the CNR-Institute for Photonics and Nanotechnologies. His work involves interdisciplinary teams spanning civil engineering, remote sensing, and data science to develop next-generation infrastructure monitoring solutions.

• Injury Prevention
• Risk Engineering
• Biomechanics
• +۶ مورد دیگر

Professor David Eager is a leading academic at the University of Technology Sydney in the School of Mechanical and Mechatronic Engineering . With a dual appointment as Professor of Risk Management and Injury Prevention, his work bridges mechanical engineering, biomechanics, and public health policy. PhD in Engineering (UNSW) 1st Class Honours Degree (NSWIT) Graduate Certificate in Dispute Resolution (UTS) His research focuses on risk engineering for injury prevention in recreational environments, with specific expertise in trampoline safety , playground surfacing , and greyhound racing biomechanics . Current projects examine impact attenuating materials and characterize trampoline dynamics through acceleration analysis. Recent publications include studies on: Dynamic behavior of sports sands (2025) Greyhound galloping mechanics (2024) ISO 4980:2023 benefit-risk assessment standard (2024) Scientific recognition includes: Life Member of Play Australia (2021) Standards Australia Centenary Hero (2022) AGM Michell Medal (2024) Kidsafe Research of the Year Award (2024) He maintains active roles in international standards development as: Australian representative on ISO/TC 83 Sports Equipment Australian representative on ISO/TC 254 Amusement Rides Chair of multiple Australian Standards committees

• Wind energy and wildlife interactions
• Bat ecology and behavior
• Offshore wind energy
• +۲ مورد دیگر

Cris Hein serves as a Researcher in Environmental Science at the National Renewable Energy Laboratory (NREL), where he leads the environmental portfolio within the National Wind Technology Center. He coordinates the Bats and Wind Energy Cooperative and acts as operating agent for the International Energy Agency Wind Technology Collaborative Program's Task 34. His educational background includes: Bachelor of Science in Geology from Texas A&M University Master of Science in Biology from Texas State University PhD in Forestry and Natural Resources from the University of Georgia For over two decades, Hein has specialized in bat ecology and behavior, with more than ten years focused on wind energy environmental interactions. His research develops evidence-based strategies to minimize wildlife impacts from wind turbines, particularly through advanced monitoring systems and operational mitigation techniques. Current work emphasizes offshore wind environmental effects and bat fatality reduction protocols across North American wind facilities. Analysis of his 2024-2025 publications reveals three dominant research trajectories: 1) Gulf of Mexico offshore wind environmental assessments, 2) marine mammal monitoring during offshore construction, and 3) validation of curtailment as the most effective bat fatality mitigation strategy. His work consistently bridges ecological research with practical wind industry applications, showing particular expertise in translating field data into operational guidelines. As program coordinator for the Bats and Wind Energy Cooperative, Hein manages multi-stakeholder collaborations between government agencies, industry partners, and conservation organizations. His leadership in IEA Task 34 facilitates international knowledge exchange on wind energy environmental effects, directing research funding toward high-impact conservation solutions. Hein's laboratory operations center on NREL's National Wind Technology Center environmental research group, which conducts field studies at operational wind facilities nationwide. The team specializes in developing monitoring technologies and analyzing wildlife-turbine interaction data to inform industry best practices and regulatory frameworks.

Dilum Bandaraمشاهده پروفایل

عضو هیئت علمی

• Distributed Systems
• Blockchain
• Cloud Computing
• +۱۳ مورد دیگر

Dilum Bandara is a Principal Research Scientist at CSIRO's Data61 in Australia and an Adjunct Senior Lecturer at the School of Computer Science and Engineering, Faculty of Engineering, University of New South Wales (UNSW). He has previously served as a Senior Lecturer at the University of Moratuwa, Sri Lanka, and has over two decades of experience in research, teaching, and consultancy in distributed systems, security, and software engineering. His academic qualifications include: PhD in Computer Science, Colorado State University, USA (2012) MS in Computer Science, Colorado State University, USA (2008) BSc Eng. (Hons) in Computer Science and Engineering, University of Moratuwa, Sri Lanka (2004) Dilum's research interests are centered on Distributed Systems (Blockchain, Cloud, P2P), Computer Security , Software Architecture , Data Engineering , Performance Engineering , and the Internet of Things (IoT) . He applies these technologies in multidisciplinary domains such as Supply Chains , Digital Finance , Environmental, Social, and Governance (ESG) , Fleet Management , and Weather Monitoring . His work emphasizes real-world impact through trusted data management in multi-party ecosystems. The analysis of his recent publications reveals a strong focus on blockchain for transparency and security, cloud-native performance engineering, IoT integration with edge and cloud, and data-driven solutions for smart cities and sustainability. His work consistently bridges theoretical innovation with practical deployment, particularly in national and international infrastructure projects. His scientific awards include: Best Paper Award at BPM 2024 Multiple CSIRO internal awards (Customer First, Engineering and Technology, Collaboration) from 2021–2023 Student Paper Award (Merit) at IEEE SOLI 2018 Award of Excellence for Outstanding Research at University of Moratuwa (2015–2018) Dilum has led and contributed to several research grants, particularly during his time at the University of Moratuwa, including projects on smart city integration, real-time data forecasting, and cloud platforms for scientific computing. He has also held leadership roles such as Director of the Engineering Research Unit and co-founder of VaticHub. He is actively involved in professional communities as a Senior Member of IEEE and a Chartered Engineer with IESL. At CSIRO, he serves as a Health and Safety Representative, reflecting his commitment to corporate citizenship. He has advised students and early-career researchers, though specific names are not listed in the provided text. His labs and research teams include the Architecture and Analytics Platforms (AAP) team at CSIRO Data61 and collaborations with academic institutions like UNSW and University of Moratuwa.

• Structural Health Monitoring
• Non-Destructive Testing and Evaluation
• Stress Wave Research
• +۱۲ مورد دیگر

Professor Wing Chiu is a faculty member in the Department of Mechanical & Aerospace Engineering at Monash University, Faculty of Engineering. He is actively engaged in research and is accepting PhD students. His work spans structural mechanics, failure analysis, and advanced monitoring systems. His research interests include Structural Health Monitoring , Non-Destructive Testing and Evaluation , Stress Wave Research , Composite Structures , Fatigue and Failure Analysis , and Noise and Vibration Control . He applies these to real-world engineering challenges, particularly in aerospace and critical infrastructure. The recent publications highlight a consistent focus on smart sensing, acoustic emission, and data-driven modeling for structural integrity. His team employs advanced materials like relaxor-ferroelectrics and machine learning techniques such as deep learning encoder-decoder networks and feature fusion architectures to enhance monitoring accuracy and automation. Professor Chiu leads multiple externally funded research projects, including those on autonomous structural health monitoring, durable UAV antennas, and digital-physical asset assessment. He also conducts industrial consulting through private practice, applying his expertise in structural mechanics and vibration analysis. He is involved in laboratory and field-based research, supervising graduate students and collaborating with national and international partners. His lab focuses on sensor development, signal processing, and multi-physics modeling for real-time structural assessment.

Wenyi Yanمشاهده پروفایل

استاد

• Mechanical Engineering
• Materials Science
• Railway Engineering
• +۷ مورد دیگر

Prof. Wenyi Yan is a Professor in the Department of Mechanical & Aerospace Engineering at Monash University. His career includes research fellowships in Europe, roles at multiple Australian universities, and leadership in over 14 Australian Research Council (ARC) grants since 2006. He has supervised 19 PhD and 5 MSc graduates, currently mentoring 12 PhD students. Education: B.Eng. (Hons) from Beijing University of Aeronautics and Astronautics (1989), M.Sc. (1992), and Ph.D. (1995) from Tsinghua University. Research focuses on material behavior under cyclic loading, railway infrastructure optimization, laser cladding repair, and additive manufacturing. Key areas include fracture mechanics, tribology, and computational modeling for rail systems. Notable projects: Development of machine learning tools for structural analysis (2025–2028), ARC Hub for Smart Process Design (2024–2029), and rail component repair using laser cladding. His work addresses UN SDGs related to sustainable infrastructure and innovation. Awards: While no specific prizes are listed, his extensive grants and publications (3 book chapters, 176 journals, 68 conferences; h-index 42) reflect his impact. Current grants total over 10 projects, emphasizing industry collaboration with Rio Tinto, ANSTO, and others.

Javier Cabreraمشاهده پروفایل

استاد

• Biostatistics
• Data Mining
• Clinical Trial Methodology
• +۵ مورد دیگر

Javier Cabrera is a Professor in the Department of Statistics at Rutgers University with a joint affiliation at the Cardiovascular Institute. He holds a Ph.D. from Princeton University and is recognized as a Fulbright Scholar. His office is located at Hill Center 471, 110 Frelinghuysen Road, Piscataway, NJ. His research focuses on: Biostatistics and clinical trial methodology Data mining for functional genomics and DNA/protein arrays Statistical computing, machine vision, and high-dimensional data analysis Cardiovascular health applications using statistical modeling Recent publications (2022-2025) demonstrate strong emphasis on: Novel statistical methods for medical/biological data Machine learning applications in diagnostics and genomics Clinical risk modeling and epidemiological studies Big data reduction techniques and computational efficiency He frequently publishes in interdisciplinary collaborations at the intersection of statistics, biomedicine, and computational science. Awards: Fulbright Scholar He collaborates extensively with the Cardiovascular Institute, contributing statistical expertise to research on cardiovascular outcomes, disease risk modeling, and clinical data analysis.

Mattias Tigerمشاهده پروفایل

استادیار

• Artificial Intelligence
• Robotics
• Autonomous Systems
• +۳ مورد دیگر

Mattias Tiger is an Assistant Professor at the Department of Computer Science (IDA) at Linköping University , where he serves as an AI researcher and deputy lab leader for the Reasoning and Learning Lab (ReaL) . His work is supported by the WASP program and focuses on applied AI research in autonomous systems. Roles : Assistant Professor, AI Researcher, Deputy Lab Leader Affiliations : IDA, AIICS, WASP, AI Academy Research Focus : Artificial Intelligence, Robotics, and Autonomous Systems with specialization in motion planning, dynamic obstacle avoidance, and safety-aware AI. His work bridges theoretical foundations with real-world applications, particularly in urban environments and agile flight systems. Key technical areas: Lattice-based motion planning, deep reinforcement learning, 3D exploration algorithms Application domains: Autonomous road sweeping, drone navigation, retail automation Awards : EurAI award for postdoctoral thesis SAIS award for best degree project supervision Collaborations : Works with Professor Fredrik Heintz and colleagues in projects involving robotic platforms like Spot and Elsa. His research has been highlighted during the Royal Couple's visit to Linköping and through grants from the Norrköping Fund for Research and Development.

• Graph Theory
• Energy Efficiency
• Lighting Systems
• +۳ مورد دیگر

Dr. Artur Basiura serves as an Assistant Professor in the Department of Applied Informatics at AGH University of Science and Technology's Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering in Kraków, Poland. His institutional affiliation centers on applied informatics research within electrical engineering and computer science domains. His research spans graph theory applications in lighting systems, energy efficiency optimization, and software engineering. Key interests include graph-based street lighting modernization, XBRL taxonomy integration, and adaptive control systems. His work bridges theoretical computer science with practical electrical engineering solutions for urban infrastructure. Analysis of his 14 publications (2004-2022) reveals an evolving research trajectory: early work (2004-2007) focused on software engineering fundamentals including e-commerce frameworks and UML diagram comprehension, while recent publications (2016-2022) demonstrate a strategic shift toward graph-theoretic approaches for lighting system optimization and energy reduction in urban environments.

D. Frantzمشاهده پروفایل

استادیار

• Earth Observation
• Remote Sensing
• Geoinformatics
• +۷ مورد دیگر

D. Frantz is an Assistant Professor at Trier University , leading the Geoinformatics - Spatial Data Science lab. Their research focuses on transforming Earth Observation (EO) data into actionable environmental insights through preprocessing, data cubes, and machine learning. Current Position : Assistant Professor for Geoinformatics - Spatial Data Science, Trier University (2021–today) Former Role : PostDoctoral Researcher at Earth Observation Lab, Humboldt-Universität zu Berlin (2017–2021) Education : PhD in Environmental Remote Sensing and Geoinformatics, Trier University (2013–2017) Frantz's research emphasizes open science , with all software and methods published as open source ( FORCE ). Key research areas include: EO data preprocessing to analysis-ready data Multi-sensor data integration (Sentinel, Landsat) Land cover fraction mapping and time series analysis Material stock quantification in buildings/infrastructure Climate change mitigation through urban-rural gradient analysis Recent publications highlight work on global material stock mapping , tree species classification in temperate forests, and temporally transferable crop mapping using deep learning. While no explicit awards are listed, their open-source contributions and leadership in the Geoinformatics lab underscore significant academic impact.

Dariusz Królمشاهده پروفایل

استاد

• Knowledge Engineering
• Multi-agent Systems
• Data Quality
• +۵ مورد دیگر

Dariusz Król is a Professor at the Department of Applied Computer Science, Faculty of Computer Science and Telecommunications at Wrocław University of Science and Technology. He serves as Vice-dean for general matters and Head of the Knowledge Engineering Lab. With a strong background in technical and engineering sciences, his academic career spans over two decades of teaching and research in computer science and telecommunications. Professor Król's educational background, though not explicitly detailed in the provided texts, is evidenced by his habilitation (dr hab. inż.) and professorship at one of Poland's leading technical universities. His extensive experience is reflected in his long-standing teaching career and research leadership. Professor Król's research interests focus on knowledge engineering, multi-agent systems, data quality, and intelligent production. His scholarly output shows a progression from foundational work in multi-agent systems to contemporary applications of deep learning in industrial contexts. Recent publications demonstrate increasing emphasis on practical applications of data quality assessment in production environments, with strong connections to Industry 4.0 and intelligent manufacturing concepts. His work consistently bridges theoretical foundations with real-world industrial applications where data quality and intelligent systems play crucial roles. His scholarly impact is evidenced by his edited books ranking among Springer's top downloaded publications, with two titles placing in the top 25% most downloaded books in 2018. His editorial leadership extends to serving as editor for Computational Intelligence (Wiley-Blackwell) since 2008 and International Journal of Distributed Systems and Technologies since 2010. Book 'Advanced Topics in Intelligent Information and Database Systems' among top 25% most downloaded Springer books in 2018 (31,481 downloads) Book 'Recent Developments in Intelligent Information and Database Systems' among top 25% most downloaded Springer books in 2018 (24,896 downloads) Book 'Propagation Phenomena in Real World Networks' among top 50% most downloaded Springer books in 2015-2016 Professor Król has supervised over 50 Master's and Engineering theses across diverse topics in computer science. He teaches courses ranging from foundational programming to advanced topics in knowledge engineering, maintaining an active teaching schedule for over 18 academic years. He leads the KNJavaTech scientific circle, which has provided research opportunities for students since 2005. His international collaborations include invited seminars at prestigious institutions worldwide, demonstrating global recognition of his expertise in knowledge engineering and intelligent systems.

Chuanmin Huمشاهده پروفایل

استاد

• Ocean Optics
• Optical Remote Sensing
• Harmful Algal Blooms
• +۳ مورد دیگر

Chuanmin Hu is a Professor at the University of South Florida College of Marine Science , leading the Optical Oceanography Laboratory . His work integrates in situ optical measurements with satellite remote sensing to study coastal ocean dynamics, harmful algal blooms, and climate impacts on water quality. Education: Ph.D. in Physics (University of Miami, 1997) Research Focus: Ocean optics, remote sensing algorithms, algal blooms, carbon cycling, and coastal observing systems Leadership: Director of the Optical Oceanography Lab and developer of systems like Sargassum Watch System and Integrated Red tide Information System His lab utilizes autonomous underwater vehicles (AUVs) and high-resolution satellite data to map bio-optical properties in coastal zones, coral reefs, and estuaries. Recent innovations include the Virtual Buoy System for real-time water quality monitoring. Scientific Awards: 2024 Pecora Group Award (USGS-NASA) Dr. Hu's work bridges optical oceanography with practical coastal management solutions, addressing challenges like the Tampa Bay Piney Point effluent plume and Sargassum inundation forecasting . His group has produced over 100 peer-reviewed publications and developed multiple satellite-based monitoring platforms.

• Data management and data science
• Artificial intelligence
• Distributed computing and systems software
• +۶ مورد دیگر

Thomas C Henderson is a tenured Professor at the School of Computing within the College of Engineering at the University of Utah. His research focuses on autonomous systems , computational models , and intelligent machine systems , with specific interests in biosystem simulation, distributed systems, and adaptive algorithms. He has contributed to Bayesian sensor networks , UAS traffic management , and probabilistic logic frameworks for intelligent agents. Current academic appointments since 1989 Adjunct roles in Biomedical Engineering Active in IEEE committees (2024-2025) Research trends in recent publications emphasize autonomous aircraft coordination , probabilistic reasoning , and multi-sensor integration . Key subfields include lane-based airspace modeling, reinforcement learning for UAS, and pseudogradient navigation techniques. His work has received recognition through a Best Paper Award (IEEE 2008) and the US Air Force Summer Faculty Fellowship . Strategic deconfliction protocols Dynamic data-driven applications Structural health monitoring systems He actively mentors undergraduate research through courses like Deep Learning Capstone and Senior Capstone Design . Current grants include "Deep Learning in AI and Robotics" (2024-2029) and "Robust Reasoning using Geometric SAT/PSAT" (2022-2023).