جست‌وجوی استاد و پژوهشگر

• Movement Ecology
• Evolutionary Biology
• Habitat Fragmentation
• +۶ مورد دیگر

Dr. Monique de Jager is a postdoctoral researcher at Utrecht University's Quantitative Biodiversity Dynamics (QBD) Group and holds guest researcher positions at the Ecology & Biodiversity Group (E&B) at Utrecht University and the Animal Ecology Group at the Netherlands Institute of Ecology (NIOO-KNAW). Her research focuses on eco-evolutionary dynamics, spatial modeling of movement strategies in plants and animals, and biodiversity conservation. She specializes in using computational models, including deep learning, to address ecological challenges such as habitat fragmentation and biodiversity loss. Education: PhD in Eco-evolutionary Feedbacks in Self-organized Ecosystems from the University of Groningen (2015). Research Interests: Movement ecology, evolutionary biology, spatial ecology, seed dispersal mechanisms, and the application of individual-based models to ecological systems. Her work bridges theoretical and applied ecology, addressing questions related to species dispersal, habitat connectivity, and conservation strategies. Recent Trends in Articles: Dr. de Jager's recent work explores critical transitions in dispersal strategies due to habitat fragmentation, optimal management practices for mitigating goose-related agricultural damage, and the role of spatial self-organization in mussel bed ecosystems. Her studies often integrate computational modeling with empirical data to predict ecological outcomes under environmental changes. Awards: Best-publication award (2011) for work on Lévy walks in Science. Second-best publication award (2014) for research on superdiffusion in Proceedings B. Collaborations: With Merel Soons on seed dispersal via water in streams. With Marijke van Kuijk on optimizing camera trap data analysis. With Bart Nolet on goose migration modeling. Labs/Teams: Quantitative Biodiversity Dynamics Group (QBD), Ecology & Biodiversity Group (E&B), and Animal Ecology Group (NIOO-KNAW).

Nassim Bozorgniaمشاهده پروفایل

استادیار

• Astroparticle Physics
• Dark Matter Phenomenology
• Cosmology
• +۳ مورد دیگر

Nassim Bozorgnia is an Assistant Professor in the Department of Physics at the University of Alberta and a Tier 2 Canada Research Chair in Astroparticle Physics. He specializes in theoretical astroparticle physics and dark matter phenomenology, focusing on dark matter's particle nature and its implications for direct/indirect detection experiments. His research uses cosmological simulations and observational data to study dark matter distribution in galaxies like the Milky Way. Education: Ph.D. in Physics, UCLA (2012), Dissertation: 'Ion Channeling in Direct Dark Matter Detection' M.S. in Physics, San Francisco State University (2006) B.S. in Physics, Kharazmi University (2004) Research Interests: His work explores dark matter interactions, galactic distribution modeling, and astroparticle physics. Key areas include: Dark matter direct detection using crystal detectors Impact of Large Magellanic Cloud on dark matter signals Velocity-dependent annihilation radiation Dark matter distribution correlations with stellar kinematics Grants & Awards: Canada Research Chair (2022–2027) Natural Sciences and Engineering Research Council (NSERC) Discovery Grant (2020–2025) McDonald Institute Highly Qualified Personnel Pooled Resources (2021–2023) Recipient of multiple fellowships including UCLA's Cota Robles Fellowship Teaching & Supervision: Currently supervising 6 Ph.D./M.S. students and mentoring EXPLORE program participants Teaches courses like 'Physical Cosmology' and 'Dark Matter: from cosmology to underground searches' Developed the EXPLORE international research collaboration program Labs & Collaborations: Active in collaborations like the EXPLORE program and international initiatives such as GRAPPA and IPPP. His work integrates cosmological simulations (EAGLE, APOSTLE) with observational datasets to refine dark matter models.

• Distributed Computing
• Distributed Algorithms
• Fault-Tolerance
• +۸ مورد دیگر

Marina Papatriantafilou is an Associate Professor in the Department of Computer Science and Engineering at Chalmers University of Technology and University of Gothenburg. Her research focuses on distributed computing, fault-tolerance, parallel algorithms, and concurrency control. She has contributed to methods for fault-tolerant distributed systems, visualization tools for distributed algorithms, and scalable overlay networks. Her academic roles include teaching advanced courses on distributed systems, computer communication, and operating systems. She advises graduate students in areas like distributed algorithms and parallel computing. Key research interests include lock-free synchronization, memory reclamation, and self-stabilizing systems. She has authored over 100 publications in top-tier conferences and journals, with recent work on data streaming frameworks, energy-sharing optimization, and vehicular network processing. Professional involvement includes roles in program committees for conferences like OPODIS, SWAT, and SSS, plus membership in research evaluation boards for Swedish and European funding agencies. She pioneered educational tools like the Lydian environment for distributed algorithm visualization.

• Distributed/Parallel Computing
• Information Visualization
• Fault-Tolerant Communication Mechanisms
• +۴ مورد دیگر

Philippas Tsigas is a Professor at the Department of Computer Science and Engineering at Chalmers University of Technology. He leads the Distributed Computing and Systems Research Group and has held roles as co-leader of research initiatives such as the PEPPHER project. His research spans distributed/parallel computing, information visualization, and fault-tolerant communication mechanisms. He has supervised numerous PhD students, including Yi Zhang, Håkan Sundell, and Farnaz Moradi. Research interests include lock-free data structures, multicore algorithms, secure network services, and visualization tools like Lydian and DataMeadow. Notable awards include Best Paper Awards at IPDPS 2003 and SNS 2012. His work has been published in top venues like IEEE Transactions on Parallel and Distributed Systems and ACM Journal of Experimental Algorithmics. Awards highlight contributions to lock-free algorithms and network modeling. Students have contributed to projects like NBmalloc (memory reclamation) and GPU Quicksort. Collaborations with institutions like SSF and VR have supported his research. Tsigas is also involved in teaching distributed systems and mentoring early-career researchers.

Adam Leeمشاهده پروفایل

استاد

• Computer Security
• Privacy
• Distributed Systems
• +۵ مورد دیگر

Adam J. Lee is a Professor of Computer Science and Vice Provost for Undergraduate Studies at the University of Pittsburgh's School of Computing and Information. He holds a PhD (2008) and MS (2005) from the University of Illinois at Urbana-Champaign, and a BS (2003) from Cornell University. His research bridges computer security, privacy, and distributed systems, focusing on systems that enable secure cross-domain interactions while preserving user privacy. Notable work includes studies on IoT privacy, cryptographic access control, and user perceptions of privacy in smart environments. Education: PhD in Computer Science, University of Illinois at Urbana-Champaign, 2008 MS in Computer Science, University of Illinois at Urbana-Champaign, 2005 BS in Computer Science, Cornell University, 2003 Research Interests: Explores secure distributed systems, privacy-preserving technologies, and user-centric design for IoT. Recent efforts include tangible privacy controls for smart devices, context-aware messaging agents, and formal analysis of cryptographic enforcement architectures. Supported by NSF and DARPA grants, including an NSF CAREER Award in 2013. Recent Work: Focuses on balancing utility and privacy in sensing systems, with contributions in ephemeral communication, auto-response agents, and privacy-aware smart voice assistants. Recent studies address user perceptions of temporal data redaction and trusted platforms. Awards: NSF Career Award (2013) ACM CSCW 2022 Best Paper ACM DIS 2022 Best Paper Advising & Grants: Advises PhD students in privacy and security research. Active in grant-funded projects on access control, cloud security, and health technology interventions. Collaborates with the Institute for Cyber Law, Policy, and Security on policy-relevant cybersecurity issues. Teaching: Courses include Discrete Structures for Computer Science and Computer and Network Security , emphasizing foundational theory and practical applications. Known for curriculum development in privacy-aware systems and ethical computing practices.

Hantao Cuiمشاهده پروفایل

دانشیار

• Power Electronics
• Renewable Energy Systems
• Power System Simulation
• +۳ مورد دیگر

Hantao Cui is an Associate Professor in the Department of Electrical and Computer Engineering at NC State University. He previously served as an Assistant Professor at Oklahoma State University (2021–2024) and earned his Ph.D. in Electrical Engineering from the University of Tennessee, Knoxville (2018). His research focuses on applying mathematical and computational methods to model, simulate, and analyze modern power systems, particularly those dominated by renewable energy sources and inverter-based technologies. He is the author of the ANDES simulation tool and a recipient of the NSF CAREER Award (2024) and the 2020 R&D 100 Award for his work on the CURENT Large-Scale Testbed. His expertise spans power electronics, grid stability, and cyber-physical system integration. Education: Ph.D. in Electrical Engineering, University of Tennessee, Knoxville (2018) M.S. in Electrical Engineering, Southeast University, China (2013) B.S. in Electrical Engineering, Southeast University, China (2011) Research Interests: Large-scale power system simulation and modeling Inverter-based resource control and grid stability Renewable energy integration and optimization Cyber-physical system testbed development Open-source software tools for power systems analysis Key Contributions: Developed ANDES, an open-source framework for power systems modeling Advanced virtual inertia scheduling (VIS) techniques for microgrids Pioneered data-driven adaptive control strategies for grid-forming inverters Awards & Honors: NSF CAREER Award (2024) R&D 100 Award (2020) Best Paper Award at IEEE PES General Meeting (2022) Senior Member of IEEE (2020) Grants & Labs: Principal Investigator for NSF-funded research on inverter-based grid stability Core contributor to the CURENT Large-Scale Testbed project

Pablo Serrano Yáñez-Mingotمشاهده پروفایل

دانشیار

• Wireless Networks
• Network Protocols
• 5G/6G Communication Systems
• +۳ مورد دیگر

Pablo Serrano Yáñez-Mingot is an Associate Professor at the Telematics Department of Universidad Carlos III de Madrid (UC3M), where he has been since 2002. He holds a Telecommunication Engineering degree and PhD from UC3M (2002 and 2006, respectively). Currently, he serves as Deputy Director of Infrastructure, Sustainability, and Digitalization at the Higher Polytechnic School (EPS). His research focuses on wireless networks, network protocols, and experimental performance evaluation, with over 100 peer-reviewed publications in top journals/conferences like IEEE/ACM Transactions on Networking and IEEE INFOCOM. He has led major projects such as the Hexa-X 6G flagship and Flex5Gware. He is an IEEE Senior Member and has received awards like the UC3M Excellence Award (2021) and Distinguished Member of the INFOCOM TPC (2022). Education: Telecommunication Engineering (UC3M, 2002), PhD in Telematics (UC3M, 2006). Research Interests: Wireless networks, 5G/6G systems, network protocols, energy efficiency, and experimental evaluation of communication systems. Recent Articles Trends : Focus on 5G/6G architectures, network automation, serverless computing, and energy-efficient solutions. Publications highlight advancements in NFV scaling, network slicing, and AI-driven orchestration. Awards : UC3M Excellence Award 2021 (Young Research Excellence) ACM WiNTECH 2016 Best Paper Award Elevated to IEEE Senior Member (2015) Advising & Grants : Supervised over 30 PhD/MSc students. Principal Investigator of projects like AMAZING-6G and iTrust6G. Actively involved in editorial and organizational roles in IEEE conferences (e.g., INFOCOM, WCNC). Labs & Teams : Leads research groups in network protocols, 5G/6G systems, and experimental evaluation. Collaborates with institutions like the University of Rome Tor Vergata and Trinity College Dublin through visiting positions.

• IoT Security
• Network Measurement
• Privacy Engineering
• +۳ مورد دیگر

Dr. Anna Maria Mandalari is an Assistant Professor at University College London (UCL), affiliated with the Electronic and Electrical Engineering Department. She serves as Director of the SafeNetIoT laboratory and the Internet Engineering/Telecommunications MSc/MRes Programme at UCL. She holds an Honorary Research Fellow position at the Institute for Security Science and Technology at Imperial College London. Her research focuses on IoT security, privacy engineering, and network measurement techniques, particularly analyzing information exposure from consumer devices and developing adaptive network security strategies. Her work has led to significant contributions such as the IMC'19 Community Contribution Award-winning study on multidimensional IoT device exposure and the Telekom Challenge-winning IoTrim prototype for blocking non-essential IoT traffic. She has secured funding through InnovateUK’s CyberASAP program and participated in high-impact projects like NATwatcher and the European roaming analysis initiative. Key Awards: Community Contribution Award (IMC'19), Best Paper Award (C2B(I)D 2015) Grants: InnovateUK CyberASAP Phase 2 funding, Telekom Challenge Development Stream Top 5 prize Labs/Teams: Director of SafeNetIoT Lab, Leading M2M and IoT security teams at UCL Her recent work addresses IoT device misactivation risks (e.g., smart speakers), scalable detection of IoT devices in the wild, and protocol design informed by crowdsourced data. She actively collaborates with industry partners like Telekom and academic institutions on network infrastructure security and performance optimization.

• Quality of Experience (QoE)
• User Experience (UX)
• Cybersecurity
• +۶ مورد دیگر

Katrien De Moor is an Associate Professor at the Department of Information Security and Communication Technology at NTNU. Her work focuses on socio-technical approaches in ICT research, particularly in Quality of Experience (QoE), human-technology interactions, and ethical implications of technology. She co-edits the journal Quality and User Experience and leads the 5-year Master's program in Cybersecurity and Data Communication. Her research emphasizes user-centric innovation, digital ethics, and sustainable HCI. Education: PhD in Social Sciences from Ghent University (2012). Visiting researcher at TU Eindhoven, TU Berlin, and NTNU (Marie Curie Fellow). Research Interests: User Experience (UX) and QoE in immersive technologies Human behavior and ethical design Ecological validity in user studies Cybersecurity in critical sectors Long-term QoE assessment Publications highlight: Recent work explores ethical risks in smart environments, sustainable multimedia design, and user perspectives on parental controls. Her projects include Amplify (EU-funded), PERSEUS Doctoral Programme , and Cryptology and Social Life . Supervision: Active mentor to over 30 PhD students and researchers, focusing on cybersecurity, ethical AI, and human-centered design. Grants: Principal Investigator for the Norwegian TufiQoE project (2020-2024) and grants on digital carbon footprint awareness. Labs/Teams: Member of SFI NORCICS (Norwegian Cybersecurity Center) and the Young Academy of Norway. Leads interdisciplinary projects in human-centric networking and XR security.

Moe Thandar Wynnمشاهده پروفایل

استاد

• Process Mining
• Data Quality
• Business Process Management
• +۳ مورد دیگر

Professor Moe Thandar Wynn is a Co-Director of QUT's Centre for Data Science and holds a Professorship in the School of Information Systems at Queensland University of Technology (QUT). She leads the Process Science Academic Program and serves as the Academic Lead of Research for the School of Information Systems. Her expertise spans Process Mining, Data Quality, and Robotic Process Automation (RPA). Prof Wynn has attracted over AUD 6 million in research funding and holds an h-index of 41 with 8700+ citations. She is a member of the Australian Research Council College of Experts (2023–2025) and has received prestigious awards including the QLD Women in Technology Excellence Award (2024). Her research focuses on formal foundations of process modeling, verification, and automation. She has contributed to international conferences as a co-chair and program committee member, and co-edited special issues on RPA and process dynamics. Prof Wynn collaborates with industries like healthcare, insurance, and agriculture to optimize business processes through data-driven insights. Current research includes privacy-preserving process mining and quality-driven event log enhancement. Education: PhD (QUT, 2006), M. Information Technology (Research, QUT) Key Projects: Hospital Capacity Optimization, Liquid Process Model Collections, Risk-Aware BPM Supervision: Over 10 completed PhD/MSc students in process mining and analytics Awards: Multiple QUT Excellence Awards, ARC College Membership Her lab focuses on advancing process intelligence and RPA, with ongoing efforts in data quality frameworks and process mining standards (e.g., IEEE XES). She actively participates in industry partnerships, such as the CRC Food Agility project, to bridge research and real-world applications.

Daniel Bainمشاهده پروفایل

استاد

• Environmental Science
• Hydrology
• Geomorphology
• +۵ مورد دیگر

Dr. Daniel Bain is a Professor in the Department of Geology and Environmental Science at the University of Pittsburgh, affiliated with the Kenneth P. Dietrich School of Arts and Sciences. He holds the role of Faculty Fellow in Sustainability, emphasizing research on human-driven environmental changes. His education includes a PhD in Geography and Environmental Engineering from Johns Hopkins University (2004), followed by postdoctoral research at the US Geological Survey. Dr. Bain’s research integrates hydrology, geomorphology, biogeochemistry, and spatial analysis to study urban and fluvial systems, with a focus on environmental contamination, climate impacts, and urban critical zone processes. Key projects include analyzing road salt effects on ecosystems, geochemical tracing in urban streams, and historical lake sediment records. His work spans interdisciplinary collaborations, including community-engaged research on environmental justice and green infrastructure performance. Dr. Bain’s lab, part of the University’s facilities, supports field and laboratory studies, with active grants addressing water quality, urbanization, and health equity. Recent projects include studies on legacy pollution in Pittsburgh’s urban soils, radioactive material exposure from oil/gas waste, and the hydrological benefits of green roofs. He maintains a research group with ongoing projects documented in over 60 peer-reviewed articles.

• Urban Hydrology
• Stormwater Management
• Weather Radar Rainfall Estimation
• +۷ مورد دیگر

Jesper Ellerbæk Nielsen is an Associate Professor in the Department of the Built Environment at Aalborg University, Faculty of Engineering and Science. He is affiliated with the Division of Civil and Environmental Engineering and the Urban Hydrology Research Group, focusing on urban stormwater systems, weather radar applications, and sustainable urban drainage. His research interests include urban hydrology, stormwater management, weather radar rainfall estimation, remote sensing, flood prediction, and real-time hydrological modeling. His work integrates engineering, environmental science, and data-driven approaches to improve urban resilience to extreme weather events. The recent publications reflect a strong trend in utilizing weather radar data, remote sensing, and opportunistic sensor networks to enhance rainfall estimation, stormwater modeling, and flood forecasting in urban environments. His interdisciplinary research spans civil engineering, atmospheric science, and urban planning, with a focus on practical applications for sustainable infrastructure. Prize (2 mentioned, specific names not provided) Nielsen collaborates widely with researchers in hydrology and environmental engineering, particularly with S. Thorndahl and M. R. Rasmussen. His work has been applied in projects involving real-time monitoring, software sensors, and validation of remote sensing technologies. While no specific grants are listed, his involvement in multiple research outputs suggests active project funding. He is involved in the Urban Hydrology Research Group, where his team works on advancing methods for urban stormwater monitoring, modeling, and control, contributing to smarter and more resilient urban water systems.

• Management Control Systems
• Performance Measurement
• Non-Governmental Organizations (NGOs)
• +۲ مورد دیگر

David Smith is the Dean of the School of Accounting, Information Systems, and Supply Chain at RMIT University's College of Business and Law. Previously, he held professorial roles at the University of Queensland and Monash University. His research focuses on management control systems, particularly performance measurement in development and welfare NGOs, with over a decade of specialized work in this area. He has contributed to leading journals such as Accounting, Organizations and Society and has editorial experience, including former editorship of Behavioral Research in Accounting . He currently serves on editorial boards of ABDC A*-ranked journals and has held leadership roles in professional organizations like the Chartered Institute of Management Accountants (CIMA). His work bridges academic rigor with practical applications in nonprofit and public sector governance. Research interests include performance measurement systems in NGOs, strategic investment appraisal in mergers and acquisitions, and the intersection of technology and professional workflows. His recent projects explore accountability mechanisms in public services and innovative data uses in management accounting.

Cevdet Aykanatمشاهده پروفایل

استاد

• Parallel Computing
• High-Performance Computing
• Graph and Hypergraph Partitioning
• +۴ مورد دیگر

Prof. Cevdet Aykanat is a Professor of Computer Engineering at Bilkent University, Ankara, Turkey. He earned his BS/MS in Electrical Engineering from METU and PhD from Ohio State University as a Fulbright scholar. His research focuses on parallel computing, sparse matrix algorithms, graph partitioning, and high-performance computing for big data. He has been affiliated with Bilkent since 1989 and has held roles like Associate Provost. Education: BSc/MSc (METU Electrical Engineering), PhD (Ohio State University Electrical & Computer Engineering). Research interests include parallel scientific computing, combinatorial optimization, distributed systems, and large-scale data analysis. His work spans over 100 publications in top journals like IEEE Transactions and SIAM, with 5,500 citations and an H-index of 40. Awards: 1996 TUBITAK Investigator Award, 2007 METU Parlar Science Award. He led 6 TUBITAK projects and participated in EU-funded projects like PRACE-1IP to PRACE-6IP. Publications emphasize efficient parallel algorithms for sparse computations, graph partitioning, and distributed systems. His work addresses latency reduction, load balancing, and scalable data processing in HPC environments. Grants: Funded by TUBITAK, Intel SSD, and EU programs. Academic service includes editorial roles at IEEE Transactions on Parallel and Distributed Systems.

Michael L. Austinمشاهده پروفایل

مدرس ارشد

• Sound and music in interactive media
• Ludomusicology
• Sound studies
• +۷ مورد دیگر

Dr. Michael L. Austin is a Senior Lecturer in Music and Sound at Edge Hill University, serving as Programme Leader in Music Production since January 2023. He previously held academic roles at Louisiana Tech University, Howard University, and others. His research focuses on sound and music in interactive media, including video games, social media, and smart devices. He is Executive Director of the Society for the Study of Sound and Music in Games and a Research Associate at the Library of Congress's Radio Preservation Task Force. Education: PhD in Humanities (Aesthetic Studies) from the University of Texas at Dallas (2011), MA in Music Theory from UT Austin (2007), and BA in Music Composition from UT San Antonio (2005). Research interests include ludomusicology, cultural representation in media, sound design for UX, and algorithmic bias in emerging technologies. His 2024 monograph Audiovisual Alterity explores identity representation in music videos, while earlier works like Music Video Games: Performance, Politics, and Play (2016) analyze music's role in digital games. Publications span video game music analysis, algorithmic bias, and sound art. His talks include topics like 'Sounding Drag Identities in Video Games' and 'Algorithmic Bias in Emerging Media.' As a sound artist, his work has been exhibited at the Smithsonian and Dallas Museum of Art.