جست‌وجوی استاد و پژوهشگر

Maurits Haverkortمشاهده پروفایل

استاد

• Strongly Correlated Electron Systems
• Quantum Many-Body Physics
• X-ray Spectroscopy
• +۶ مورد دیگر

Maurits Haverkort is a Professor at the Institute for Theoretical Physics, Heidelberg University (Germany). His research focuses on quantum many-body systems , strongly correlated electrons , and X-ray spectroscopy of complex materials under strong fields. University of Cologne (PhD in Physics, 2005) University of Groningen (M.Sc. in Physics, 2002) Research Interests : He investigates orbital and magnetic properties in heavy fermion systems , actinide materials , and correlated oxides using resonant inelastic X-ray scattering (RIXS) , ARPES , and computational tools like Quanty . His work spans crystal field theory , spin-orbit coupling , and ultrafast electron dynamics . Scientific Awards & Activities : 2018 – Editorial Board Member, Physical Review Letters 2017 – Beam Time Allocation Panel, ESRF Grenoble 2016–2018 – Swedish Research Council Panel NT-4 2012–2016 – Scientific Selection Panel, Helmholtz-Zentrum Berlin Recent Publications highlight 5f electron counting , photon-modulated bonding , and precision neutrino mass experiments , reflecting his expertise in quantum materials and advanced spectroscopy .

Abolfazl Simorghمشاهده پروفایل

پژوهشگر

• Aircraft Trajectory Optimization
• Climate Change Mitigation in Aviation
• Robust Control
• +۳ مورد دیگر

Abolfazl Simorgh is a researcher at Charles III University of Madrid's Department of Aerospace Engineering, specializing in climate-optimized aviation systems. His work bridges mathematical control theory with practical climate impact mitigation, focusing on robust trajectory optimization under environmental and operational uncertainties. He leads development of open-source tools for sustainable flight planning while contributing to major European aviation initiatives. Education: B.Sc. in Control Engineering (2017) M.Sc. in Control Engineering (2020) Ph.D. in Aerospace Engineering from Charles III University of Madrid Dr. Simorgh's research centers on developing mathematical frameworks that reconcile aircraft trajectory optimization with climate impact reduction. His expertise spans robust control systems, optimization under uncertainty, and climate modeling integration, with particular emphasis on non-CO₂ emissions. His methodology addresses both CO₂ and non-CO₂ climate forcing mechanisms through computationally efficient algorithms that account for weather variability and climate metric uncertainties. This work directly supports aviation's decarbonization by providing operational strategies that reduce environmental footprint without prohibitive cost increases. Analysis of his 15 most recent publications reveals a cohesive research trajectory focused on operationalizing climate-optimal flight planning. His work consistently integrates climate science with aerospace engineering through robust optimization frameworks, demonstrating particular innovation in handling multiple uncertainty sources (weather, climate models, emissions). The publications cluster around three interconnected themes: 1) Development of open-source computational tools (ROOST, CLIMaCCF), 2) Network-scale implementation of climate-aware air traffic management, and 3) Risk analysis of climate mitigation strategies. This body of work establishes new methodological standards for quantifying and minimizing aviation's total climate impact. Scientific Awards: Luis Azcárraga Aeronautical Innovation Award for collaborative research impact Best Paper Award (2022) from a high-impact aerospace journal Dr. Simorgh secures significant research funding through European Commission projects including FlyATM4E (climate-optimized flight planning), ALARM (aviation emissions reduction), and RefMAP (sustainable aviation pathways). His grant portfolio emphasizes practical implementation of climate mitigation strategies, with strong industry-academia collaboration. He mentors junior researchers through project teams and has developed three major open-source Python libraries (CLIMaCCF, ROOST, ROC) that have become community standards for climate impact assessment in aviation research. His current work focuses on scaling climate-optimized trajectories to continental airspace while addressing operational constraints and economic viability. He leads a research group focused on climate-aware air traffic management, developing the ROOST simulation framework for GPU-accelerated trajectory optimization and the CLIMaCCF library for standardized climate metric calculations. His team collaborates with European air navigation service providers and aircraft manufacturers to transition research into operational practice, with current projects emphasizing real-time implementation and regulatory compliance frameworks.

Arthur Trembanisمشاهده پروفایل

استاد

• Coastal and estuarine morphodynamics
• Sediment transport
• Hydrodynamics
• +۳ مورد دیگر

Arthur Trembanis is a Professor at the School of Marine Science & Policy at the University of Delaware , where he conducts interdisciplinary research in coastal and marine geoscience. His work bridges oceanography, sediment dynamics, and autonomous systems, with a focus on understanding coastal morphodynamics, hydrodynamics, and seafloor mapping. Coastal & Estuarine Morphodynamics Sediment Transport Modeling Autonomous Underwater Vehicles (AUVs) Seafloor Mapping & Geoacoustics Trembanis leads the Coastal Sediments, Hydrodynamics, and Engineering Lab (CSHEL) , which explores the intersection of marine technology and environmental science. His recent publications highlight advancements in AI-driven seafloor mapping, autonomous survey platforms, and coastal response to extreme weather. He is also active in open-source tools for geological feature detection and educational outreach. The 15 most recent papers reflect trends in machine learning for coastal geology (e.g., AI for Carolina Bay detection), autonomous robotics in marine surveys, and storm impact analysis on coastal systems. Key subfields include LiDAR processing, bedform dynamics, and multi-platform data integration for environmental monitoring. Fulbright Fellowship (University of Sydney) SERDP Project MR20-1480 (Munition mobility in estuarine environments) Follow his work via the CSHEL website , Instagram , or YouTube for fieldwork and lab updates.

• Business Process Management
• Declarative Process Modeling
• Hybrid Process Notations
• +۵ مورد دیگر

Tijs Slaats is an Associate Professor in the Software, Data, People & Society section at the Department of Computer Science, University of Copenhagen. His research focuses on Business Process Management with particular emphasis on declarative and hybrid process notations to provide flexible workflow support for knowledge workers, funded by the Danish Council for Independent Research. His educational background includes: M.Sc. in Information Technology from IT University of Copenhagen Ph.D. in Computer Science from IT University of Copenhagen (supervised by Thomas Hildebrandt) Dr. Slaats specializes in declarative process modeling, particularly Dynamic Condition Response (DCR) graphs which enable flexible workflow systems. His work bridges theoretical foundations with practical applications in cross-organizational settings. Recent research extends into blockchain technologies, smart contracts, and applications in sensitive domains like asylum processing and refugee law. He combines formal methods with empirical evaluation to ensure both correctness and usability of workflow systems. His publication pattern shows increasing application of process mining techniques to blockchain technologies and socially impactful domains, while maintaining core research in Business Process Management. Notable trends include integration of DCR graphs with smart contracts, privacy-preserving techniques for asylum data, and object-centric approaches to process discovery. Research funding includes: Hybrid Business Process Management Technologies project (Danish Council for Independent Research) Technologies for Flexible Cross-organizational Case Management Systems (FLExCMS) industrial Ph.D. project Alongside his academic work, Dr. Slaats maintains strong industry connections through Exformatics A/S where he developed the DCR Graphs workflow solution (www.dcrgraphs.net), and previously worked as a software engineer in the Dutch e-commerce sector. His dual expertise in academia and industry ensures his research addresses real-world workflow challenges while maintaining theoretical rigor.

Lauren Tompkinsمشاهده پروفایل

دانشیار

• Particle Physics
• High Energy Physics
• Dark Matter Detection
• +۵ مورد دیگر

Lauren Tompkins is an Associate Professor of Physics in the School of Humanities and Sciences at Stanford University, holding appointments in the Physics Department. Her research focuses on fundamental particle interactions through participation in major international experiments including the ATLAS experiment at CERN's Large Hadron Collider, the Light Dark Matter Experiment (LDMX) at SLAC, and the Heavy Photon Search (HPS) at Jefferson Laboratory. Her research interests span particle physics , dark matter detection , and advanced trigger systems . She investigates the Higgs boson's properties, searches for evidence of dark sectors through heavy flavor fermions, and develops FPGA-based real-time processing systems for particle detectors. Her group specializes in custom electronics for high-rate collision environments, particularly focusing on identifying rare events like Higgs boson production and potential dark matter signatures. Professor Tompkins' recent publications demonstrate strong focus on dark matter searches, Higgs boson physics, and advanced computing techniques. Her work bridges experimental particle physics with cutting-edge computational methods, particularly in deep learning applications for vertex reconstruction and FPGA-based trigger systems for the High Luminosity LHC upgrade. CAREER Award, National Science Foundation (2016-2021) Terman Fellow, Stanford University (2014-2017) US ATLAS Education and Public Outreach Award (awarded to group member Rocky Bala Garg) She actively mentors doctoral students and postdoctoral researchers, currently advising Elizabeth Berzin, Noe Gonzalez, Sadaf Kadir, and Rory O'Dwyer as Doctoral Dissertation Advisor. Her group participates in multiple collaborative projects including the NSF Institute for Research and Innovation in Software for High Energy Physics (IRIS-HEP) and contributes to the development of the ACTS open source software project. The Tompkins Group maintains active research programs across three major experimental facilities in Switzerland, California, and Virginia.

• Tort Law
• Intellectual Property Law
• Data Privacy
• +۶ مورد دیگر

Michael L. Rustad is the Thomas F. Lambert Jr. Professor of Law and Co-Director of Suffolk University Law School's nationally ranked Intellectual Property Concentration. A member of the American Law Institute and former ABA Business Law Section Subcommittee chair, he has shaped legal discourse through extensive publications and empirical research. BA - University of North Dakota MA - University of Maryland PhD - Boston College JD - Suffolk University LLM - Harvard University His research focuses on tort law's evolution in the digital age, including: Platform liability under CDA Section 230 Global data privacy frameworks Software licensing and cloud computing contracts Medical malpractice and gender bias in awards Cybercrime and negligent enablement theories Empirical analysis of arbitration clauses Article trends reveal expertise in: • Digital contract enforceability • AI liability frameworks • Cross-border data governance • Tort reform and empirical studies • Cybersecurity legal standards Scientific Recognition: Four-time recipient of Suffolk's teaching excellence awards Published in top journals like Harvard Journal of Law & Technology and Wake Forest Law Review Cited as authority in U.S. Supreme Court amicus briefs Rustad's work combines theoretical innovation with practical applications, influencing both academic debates and real-world legal reforms.

Mark Oskinمشاهده پروفایل

استاد مدعو

• Computer Architecture
• Parallel Computing
• Graph Processing
• +۱۲ مورد دیگر

Mark Oskin is an Adjunct Professor at the School of Computer Science and Engineering , University of Washington , focusing on Software & Hardware Systems . He leads the Sampa Group and collaborates on projects like HammerBlade and BlackParrot. University: University of Washington School: School of Computer Science and Engineering Department: Department of Electrical & Computer Engineering His research spans Computer Architecture , Parallel Computing , and Graph Processing , with additional expertise in Quantum Computing , Open Source Hardware , and Distributed Shared Memory . Ongoing work includes custom manycore devices for graph execution and open-source RISC-V designs. Past projects like Grappa and WaveScalar advanced distributed memory and dataflow execution. Recent publications include BlackParrot: An Agile Open Source RISC-V Multicore for Accelerator SoCs (IEEE Micro 2020) and Perceptual Compression of Video Storage and Processing Systems (SoCC 2019), reflecting trends in hardware-software co-design, quantum systems, and energy-efficient video processing. Best Paper Award , USENIX ATC 2015 IEEE Micro Top Picks , 2009 Mark has advised numerous students, including Amrita Mazumdar (IoT video compression startup), Brandon Lucia (CMU), and Steve Swanson (UC San Diego). He co-founded Corensic, a startup exploring deterministic multithreaded execution.

Roza Gunes Bayrakمشاهده پروفایل

استادیار

• Neuroimaging
• Computational Neuroscience
• Brain-Body Interactions
• +۳ مورد دیگر

Dr. Roza Gunes Bayrak is a Senior Research Engineer and Research Assistant Professor in the Department of Electrical and Computer Engineering at Vanderbilt University, with secondary appointments in the Department of Computer Science. She leads the Neuroimaging & Brain Dynamics Lab (NEURDY Lab) and is affiliated with multiple interdisciplinary institutes including the Vanderbilt Institute for Surgery and Engineering (VISE) and the Vanderbilt University Institute of Imaging Science (VUIIS). PhD in Computer Science from Vanderbilt University (2023) MS in Electrical Engineering from Tufts University BS in Electronic and Communication Engineering from Çankaya University, Turkey Her research focuses on advancing neuroimaging methodology for studying brain dynamics and brain-body interactions. Key areas include: Temporal modeling of neuroimaging data Development of open-source tools like PRAGMA and PhysioPy Graph-based machine learning for brain connectomics Reconstruction of physiological signals from fMRI data Interactive visualization techniques for functional brain parcellation Her recent publications emphasize: Graph neural networks for analyzing brain connectivity networks (Neurograph 2023) Deep learning approaches to decode respiration and heart rate from fMRI (DeepPhysioRecon 2023) Subject-specific functional brain mapping techniques (2022-2024) Reproducibility studies in white matter tractography (2021-2022) Roza actively promotes open science through leadership roles in initiatives like BrainHack Vanderbilt and the Organization for Human Brain Mapping's Open Science Special Interest Group.

• Geomatics
• 3D Modeling
• Digital Photogrammetry
• +۸ مورد دیگر

Filiberto Chiabrando is an Associate Professor at the Department of Architecture and Design (DAD) of Politecnico di Torino, with a secondary appointment as Adjunct Associate Professor at Michigan Technological University (USA). He serves as Deputy Coordinator of the Doctoral College for Architectural and Landscape Heritage and is Secretary of the ISPRS Working Group on UAS & Small Multi-sensor Platforms. His work bridges geomatics, photogrammetry, and cultural heritage preservation. Academic Affiliations Politecnico di Torino (Main Institution) Michigan Technological University (Adjunct Appointment) Research Leadership Coordinator of PIC4SeR Interdepartmental Center Principal Investigator for HERITALISE, Common Grounds, POSEIDON, ARCHIM3DES, and ResCult projects Chiabrando's research focuses on 3D modeling , UAV photogrammetry , underwater cultural heritage documentation , and HBIM-GIS integration . He specializes in SLAM systems , laser scanning , and rapid mapping for architectural conservation. His work aligns with SDGs 9 (Innovation), 11 (Sustainability), and 17 (Partnerships). His recent projects emphasize multitemporal marine vegetation mapping (POSEIDON), cloud-based heritage digitization (HERITALISE), and advanced 3D metric surveying in marine environments (ARCHIM3DES). He has developed open-source education platforms like POSER for underwater photogrammetry training. Scientific Awards Licinio Ferretti Award (ASITA, 2009 & 2010) Best Paper Awards: Sensors (2013), CIPA (2013) Editorial Roles Editorial Board: Geomatics Journal (2021-), ISPRS International Journal (2019-) As a PhD advisor, he has mentored 7 doctoral students in architectural heritage, including Alessio Calantropio (2019-2023) on underwater heritage and Alessandra Spreafico (2019-2023) on the Turin 1911 Exposition. He leads commercial contracts with organizations like DJI GmbH, World Food Programme, and UNICEF for UAV and geospatial applications.

Marco Aurélio Gerosaمشاهده پروفایل

عضو هیئت علمی

• Human Aspects of Software Engineering
• Software Engineering Education
• Computer Supported Cooperative Work (CSCW)
• +۷ مورد دیگر

Marco Aurélio Gerosa is a Professor at Northern Arizona University and was previously an Associate Professor at the University of São Paulo (USP), Brazil . He is affiliated with the School of Informatics, Computing, and Cyber Systems (SICCS) at NAU and the Department of Computer Science at USP. His research focuses on the Human Aspects of Software Engineering , including Software Engineering Education , Computer Supported Cooperative Work (CSCW) , and AI-Assisted Software Engineering . He has published extensively on topics such as Open Source Software development, Bots and Chatbots in software engineering, and Mining Software Repositories techniques. His recent work explores Using Large Language Models (LLMs) for educational purposes in programming, data science, and software engineering Developing chatbots to facilitate newcomer onboarding to OSS projects Investigating the evolution of Integrated Development Environments (IDEs) Assessing the impact of software bots on projects Understanding how to design effective chatbot languages Dr. Gerosa has received numerous scientific awards, including ACM SIGSOFT Distinguished Paper Award Best paper awards at ICSE and International Symposium on Open Collaboration IEEE Computer Society TCSE Distinguished Paper and Service Awards Productivity grants from CNPq (Brazilian Council for Scientific and Technological Development) He has graduated numerous PhD students who are now researchers in top institutions worldwide and has been a mentor to many more at various levels. His research projects have secured over USD 1 million in funding. Dr. Gerosa is also involved in the development of tools and environments for software engineering, including MetricMiner for repository analysis and various gamification platforms to enhance developer engagement. He brings over 25 years of teaching experience across multiple universities, teaching courses ranging from Introduction to Programming to Advanced Topics on Web Development and Collaborative Systems Development.

• Information Systems
• Artificial Intelligence
• Data Visualization
• +۴ مورد دیگر

Peter McBrien is an Associate Professor in the Department of Computing at Imperial College London, affiliated with the Faculty of Engineering. He holds dual affiliations with the Distributed Software Engineering group. His research focuses on conceptual modeling, ontology engineering, database systems, and temporal data management. He has been active in advancing techniques for data visualization, semantic web technologies, and relational database integration. Key research areas include: Ontology extraction from relational databases Type inference in transactional systems Schema transformation between heterogeneous models Peer-to-peer data integration protocols Temporal database systems His publication trends emphasize integration of heterogeneous data sources through formal methods, with notable contributions to OWL ontology implementation, hypergraph data models, and benchmarking big data query languages. Recent work focuses on Spark-based semantic reasoning and distributed knowledge exchange systems. Peter McBrien's research has been supported through Imperial College's infrastructure, with ongoing contributions to the AutoMed data integration framework and RoDEx protocols for unreliable networks. His work bridges theoretical foundations of data management with practical implementations in distributed systems.

Jayson Boubinمشاهده پروفایل

استادیار

• Autonomous Systems
• Unmanned Aerial Vehicles (UAVs)
• Edge Computing
• +۵ مورد دیگر

Jayson Boubin is an Assistant Professor of Computer Science at Binghamton University's School of Computing. He joined in 2022 and focuses on autonomous systems, particularly UAVs, edge computing, and machine learning applications in agriculture and infrastructure. His work emphasizes solving real-world challenges through innovative engineering and software solutions. Education: PhD in Computer Science (Ohio State University), BA (Miami University) Research Interests: Autonomous systems, UAVs, edge computing, robotics, and machine learning. Projects include SoftwarePilot (an open-source UAV testing platform), Fleet Computer (Kubernetes-based edge architecture), and PROWESS (a testbed for constrained edge workloads). Key Achievements: NSF Graduate Research Fellowship Developed open-source tools like SoftwarePilot and PROWESS Focus on UAV applications in precision agriculture, search-and-rescue, and infrastructure inspection Labs/Teams: Active in edge computing and UAV research groups, contributing to both academic and open-source communities.

• Condensed Matter Physics
• Materials Discovery
• Ab Initio Calculations
• +۴ مورد دیگر

Fernando Manuel da Silva Nogueira is an Associate Professor at the Department of Physics, Faculty of Sciences and Technology, University of Coimbra. He holds a PhD in Theoretical Physics from the same institution (1999) and has been a faculty member since 1990. His research focuses on materials discovery using ab-initio methods , computational physics, and development of scientific software tools like Octopus and APE . He leads the Condensed Matter Physics group at CFisUC (Centro de Física da Universidade de Coimbra) and has been Director of the Portuguese Physics Olympiad (2007-2018). Education: PhD in Theoretical Physics (1999), University of Coimbra MSc in Theoretical Physics (1993), University of Coimbra BSc in Physics (1990), University of Coimbra Research interests include computational materials science , nonlinear optics , density functional theory , and electronic structure calculations . He has authored 40+ peer-reviewed articles, 3 books, and directed over 25 research projects. His work spans topics like carbon nanotube properties, firefly bioluminescence mechanisms, and high-throughput materials discovery. He has organized 25+ conferences, advised 3 PhD students and 17 MSc students, and contributed extensively to open-source computational physics software. His ORCID is 0000-0003-3125-3660 .

Lewis J. Leheمشاهده پروفایل

استادیار

• Transportation Engineering
• Urban Traffic Management
• Transportation Economics
• +۳ مورد دیگر

Lewis J. Lehe is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign (UIUC), specializing in Transportation Systems. He holds a Ph.D. from UC Berkeley (2016) and prior degrees from UC Berkeley, University of Leeds, and University of Pittsburgh. His research focuses on transportation pricing, urban traffic dynamics, and the economic implications of transportation policies. Lehe's work includes groundbreaking studies on congestion pricing, parking policy impacts, and the integration of AI tools (e.g., GTFS Segments, TransitGPT) for transportation data analysis. He has been recognized with the Gordon F. Newell Award (2016) and Ove Arup Transport Prize (2012), and leads the Urban Traffic & Economics Lab (UTEL) at UIUC. Notable research contributions include modeling hyperdemand in traffic systems, analyzing bus stop spacing, and evaluating taxation strategies for ride-hailing services. His recent articles explore transit pricing determinants, parking lot segmentation via NIR datasets, and equilibrium tolling paradoxes. Lehe advises graduate students like Ayush Pandey and Shirin Qiam, advancing topics such as bus route optimization and GTFS data benchmarking.

Alberto Dainottiمشاهده پروفایل

دانشیار

• Internet Measurement
• Cybersecurity
• Data Science
• +۶ مورد دیگر

Alberto Dainotti is an Associate Professor at the School of Computer Science, College of Computing, Georgia Institute of Technology (Georgia Tech), and Director of the Internet Intelligence Lab. His research focuses on Internet measurement, data science, and cybersecurity, with a particular emphasis on infrastructure reliability and socio-political implications of cyber events. Before joining Georgia Tech in 2014, he served as an Associate Research Scientist and Principal Investigator at CAIDA (Center for Applied Internet Data Analysis) at UC San Diego. He holds a Ph.D. in Computer Engineering and Systems from the University of Napoli 'Federico II', Italy (2008). He teaches courses such as Internet Data Science (CS 8803), Computer Networking I (CS 3251), and Computer Networks/Networking II (CS 6250/4251). Current students include Feng Zhu, Iliana Xygkou, Olivier Bemba, Weili Wu, Zahra Yazdani, and Zhiyi Chen. Former advisees have transitioned to roles at Amazon AWS Research, Northeastern University, UC Davis, Microsoft Azure, and VMware, among others. Research Interests: Internet Connectivity Outages & Mitigation BGP Routing Security & Monitoring Cybersecurity in Political Contexts Address Space Utilization DDoS/Botnet Analysis Network Measurement Tools Scientific Contributions: Developed systems like IODA, BGPStream, and GRIP for real-time Internet monitoring Recipient of the IRTF Applied Networking Research Prize (2012, 2017) Awarded Best Dataset (PAM 2022) and Best Community Artifact (PAM 2023) Authored over 50 publications in top venues including SIGCOMM, IMC, and NSDI Grants & Funding: National Science Foundation (NSF) grants CNS-1705024 / 2202288 and CNS-1703592 US Department of Homeland Security Cisco Systems, Comcast, ISOC, Google, and Open Technology Fund Labs & Collaborations: Internet Intelligence Lab (Georgia Tech) CAIDA collaboration (UC San Diego) MAPKIT project with University of Wisconsin-Madison Contributor to OECD and BITAG reports on routing security