جستجوی استاد راهنمای دانشگاهی

Pauwke Berkersمشاهده پروفایل

استاد

• Sociology of Popular Music
• Inclusion
• Well-Being
• +۱۲ مورد دیگر

Pauwke Berkers is a full professor of Sociology of Popular Music at the Erasmus School of History, Culture and Communication, Erasmus University Rotterdam, where he is also head of the Department of Arts and Culture Studies. He specializes in the sociology of popular music with a focus on inclusion, well-being, and resilience. Berkers co-founded the Rotterdam Popular Music Studies (RPMS) research group and the EUR minor MU$IC, and is a founding member of the Rotterdam Arts and Sciences Lab and part of the EUR Cultuurcampus core team. His educational background includes an MA in Sociology from Tilburg University, where he specialized in the sociology of arts and culture, with a thesis on women in punk and feminism. He completed his PhD at Erasmus University Rotterdam, studying the integration of ethnic minority authors into literary mainstreams in the U.S., the Netherlands, and Germany. Berkers' research spans cultural sociology, focusing on social inequality, boundary work, authenticity, and stigmatization in music. His recent work explores well-being and resilience in the music ecosystem, including projects like NWO Smart Culture's POPLIVE and a pilot on resilience principles with Codarts and Utrecht University. He has led major initiatives such as the HERA project FestiVersities and the EUR Fellowship Hearing Diversities. The most recent publications reflect a strong interdisciplinary trend, merging cultural sociology with emotional and interactional theory, especially in the 2025 book A Sociology of Awkwardness , which introduces a new theoretical framework for understanding social discomfort. Other works address gender inequality in metal, music festivals, and fair pay for artists, demonstrating a consistent focus on equity, inclusion, and systemic change in cultural sectors. Berkers has not received explicitly mentioned scientific awards in the provided texts. However, his leadership in funded projects and public engagement highlights significant recognition. He supervises PhD candidates, including Wessel Coppes, and has secured multiple grants from NWO, EUR, and other funding bodies. His research often involves collaboration with arts councils, municipalities, and cultural institutions, such as the Rotterdam Arts Council and the City of The Hague. He is currently active in the National Workgroup Inclusion, advising on cultural policy. Berkers is involved in several research groups and labs, including RPMS, Rotterdam Arts and Sciences Lab, and Cultuurcampus. His collaborative projects with Codarts Rotterdam and Utrecht University emphasize transdisciplinary approaches to music, well-being, and resilience.

Andrew Martinمشاهده پروفایل

استاد

• Systems Security
• Trusted Computing
• Cybersecurity
• +۱۲ مورد دیگر

Professor Andrew Martin is a leading academic in Systems Security at the Department of Computer Science, University of Oxford, and a Governing Body Fellow at Kellogg College. His research focuses on trusted computing, cybersecurity, and secure distributed systems, with applications in cloud computing, IoT, and smart grids. He has been instrumental in advancing secure architectures using hardware-based trust mechanisms such as Intel SGX and Trusted Platform Modules. Research Interests: His work spans Systems Security , Trusted Computing , Confidential Computing , Secure Multi-Party Computation , and Privacy in Distributed Systems . He investigates how hardware-enforced security can mitigate risks in large-scale environments, particularly where privacy and trust are paramount. Publication Trends: His recent publications reveal a strong focus on Trusted Execution Environments (TEEs), remote attestation, and secure cloud architectures. He critically examines the feasibility of using hardware enclaves for both defensive and offensive security, emphasizing architectural soundness and real-world applicability. Scientific Awards: No specific awards mentioned in the provided text. Advising and Grants: Professor Martin has supervised numerous PhD and Master’s students in cybersecurity and systems research. His projects include CRANE , Trustworthy Logging , webinos , TCLOUDS , and Secure Networking by Design (SNbD) . He has secured funding for research in trusted computing and secure distributed systems, contributing to both theoretical foundations and practical implementations. Labs and Teams: He leads a research group focused on systems security and trusted computing, collaborating with industry and academic partners on large-scale security challenges. His team works on developing secure middleware, analyzing vulnerabilities in consumer devices, and designing privacy-preserving protocols for smart infrastructure.

Chen Binbinمشاهده پروفایل

دانشیار

• Wireless Networking
• Distributed Systems
• Cyber Security for Critical Infrastructures
• +۳ مورد دیگر

Chen Binbin is an Associate Professor and Associate Head of Pillar (Innovation and Enterprise) in the Information Systems Technology and Design (ISTD) pillar at Singapore University of Technology and Design (SUTD). He serves as Deputy Director for the Future Communications Research and Development Programme (FCP), Singapore. Previously, he was a Principal Research Scientist at the Advanced Digital Sciences Center (now Illinois ARCS), affiliated with the University of Illinois. Education: PhD in Computer Science from National University of Singapore, and Bachelor's from Peking University. Research focuses on wireless networking, distributed systems, and cyber security for critical infrastructures like smart grids and industrial control systems. His work addresses secure communications, intrusion detection, and resilience against cyber-physical threats. Notable contributions include error-estimating coding, provenance verification in ICS, and AI-driven network security solutions. Key awards include the 2010 ACM SIGCOMM Best Paper Award for error-estimating coding research. His grants span agencies like Singapore's National Research Foundation (NRF), Cyber Security Agency (CSA), and Energy Market Authority (EMA). He leads projects on secure smart grid communication, industrial control system defense, and AI-enhanced cybersecurity tools. Technical leadership involves developing frameworks like CyberSAGE for security assessment and CMD for IoT malware detection. Active in collaborations with industry and government, his work bridges theory and practice in securing critical infrastructure systems.

Srishti Banerjiمشاهده پروفایل

استادیار

• Construction Materials
• Structural Fire Engineering
• Sustainable Infrastructure
• +۴ مورد دیگر

Dr. Srishti Banerji is an Assistant Professor in the Department of Civil and Environmental Engineering at Utah State University and Director of the Systems, Materials, and Structural Health (SMASH) Lab. She leads research on advanced construction materials, structural resilience under extreme loads (particularly fire), sustainable infrastructure, and structural health monitoring. Her group focuses on experimental testing, numerical simulations, and developing design solutions for civil infrastructure. Education: PhD in Civil (Structural) Engineering, Michigan State University (2021) MS in Civil (Structural) Engineering, Concordia University (2016) BS in Civil Engineering, National Institute of Technology Silchar (2013) Research Focus: Her work spans: 1) Characterization of high-performance/sustainable materials (e.g., UHPC, recycled glass pozzolan), 2) Structural behavior under fire exposure, 3) Integration of electric charging systems in concrete pavements, 4) Non-destructive testing and structural health monitoring, and 5) Retrofitting techniques for infrastructure strengthening. She employs machine learning, thermo-mechanical modeling, and full-scale experimentation. Publication Trends: Her 13+ journal articles primarily analyze fire resistance of concrete/timber structures, UHPC material properties at high temperatures, sensor-based infrastructure monitoring, and sustainable material development. Recent works increasingly incorporate machine learning and electrification concepts. Awards & Honors: Teacher of the Year (USU, 2025) ASCE ExCEEd Faculty Teaching Fellowship (2023) Top Cited Article Award, Fire and Materials Journal (2023) SHMII-11 Early Career Grant (2022) NSERC Scholarship (2015) Best Conference Paper (SEC 2016) Current Projects & Teams: She leads 5+ funded projects including fire performance of polymer concrete, self-healing concrete for bridges, and Utah-sourced UHPC development. Mentees include 3 PhD students (Abdullah Al Sarfin, Mehrnoosh Nazari, Mahmoud Ali) and alumni working on sustainable materials and additive manufacturing.

• Bioenergy
• Bioeconomy
• Sustainability Assessment
• +۴ مورد دیگر

Prof. Dr.-Ing. Daniela Thrän serves as Professor of Bioenergy Systems at the University of Leipzig's Faculty of Economics and Head of the Department of Bioenergy at the Helmholtz Centre for Environmental Research (UFZ), positions she has held since 2011. She concurrently leads Germany's delegation in IEA Bioenergy Task 44 on Flexible Bioenergy and System Integration and chairs the Social Sustainability Transformations group at UFZ, bridging academic research with national climate policy through roles in the Federal Bioeconomy Council (2012-2023) and Thuringia's Climate Advisory Board. Her academic background includes: Engineering studies in Technical Environmental Protection at Technical University of Berlin (1989-1995) Doctorate at Bauhaus University Weimar (1998-2001) on material flow management in rural regional development Thrän's research centers on bioenergy's role in climate neutrality, specializing in carbon dioxide removal (CDR) via bio-based methods including BECCS, life cycle sustainability assessment, and spatial modeling of renewable energy systems. She analyzes biomass resource potentials within circular bioeconomy frameworks and investigates socio-economic drivers of energy transitions, with recent work focusing on urban-rural biomass integration and flexible bioenergy services for grid stability. Her 2023-2025 publications reveal intensifying focus on bio-CDR implementation challenges and policy frameworks, alongside systematic assessments of biomass allocation in Germany's net-zero pathways. Key trends include AI-enhanced literature mapping for climate research, municipal-scale renewable integration dynamics, and cross-national comparisons (e.g., Germany/Canada biogas systems), with growing emphasis on socio-technical trade-offs in land use and stakeholder acceptance. No scientific awards, prizes, or fellowships were documented in the provided text. Thrän actively mentors doctoral candidates as DBFZ's representative for bioenergy colloquia and leads major initiatives: IEA Bioenergy Task 44: National Team Leader for Germany (2019-present) Helmholtz Climate Initiative (HI-CAM): Co-author of spatial energy transition reports Editor-in-Chief of Springer's "energy, sustainability and society" (2017-present) She directs UFZ's Department of Bioenergy (BEN) and Models team, developing spatially resolved energy system tools like BENOPTex. Her groups focus on techno-economic analysis of biogenic resources, smart bioenergy system services, and socio-ecological impacts of renewable energy expansion, with strong links to European standardization bodies (ISO/TC 238, CEN TC 335) and Germany's aviation biofuels advisory board (aireg).

• Internet of Things
• Edge Computing
• Artificial Intelligence
• +۶ مورد دیگر

Professor Xiaodong Liu is a faculty member at Edinburgh Napier University, affiliated with the School of Computing, Engineering and the Built Environment . His research spans Internet of Things , Edge Computing , Artificial Intelligence , and Cybersecurity , with a focus on decentralized systems and data-driven decision-making. Research Themes : IoT orchestration, federated learning, smart city infrastructure, building maintenance optimization, and automotive cybersecurity. Current Projects : Leading Swarmchestrate (EU-funded), Long-range Perceptive Autonomous Vehicles (Royal Society), and Met-Bot for Disaster Surveillance (Royal Society). His recent publications emphasize privacy-preserving edge learning , semantic IoT data validation , and deep learning for weather prediction . As a supervisor, he has guided PhD students in areas like federated learning, smart building systems, and IoT security. Collaborations include partnerships with institutions in Scotland, China, and Italy, alongside funding from European Commission , Royal Society , and Scottish Funding Council . He contributes to international conferences and journals, with notable work in IEEE Transactions , ACM TAAS , and MDPI publications.

Henk Kievitمشاهده پروفایل

استاد

• Entrepreneurship
• Digital Transformation
• Governance and Stewardship
• +۴ مورد دیگر

Prof. Henk Kievit is a Professor of Entrepreneurship and Ecosystems at Nyenrode Business University. He directs the Faculty Research Center for Entrepreneurship, Governance & Stewardship and the Center for Strategy, Organization and Leadership. His teaching focuses on regional ecosystems, governance frameworks, and social entrepreneurship, employing blended learning methods. Research interests include digital transformation, innovation ecosystems, and societal governance transitions. His work bridges entrepreneurship theory with practical applications in food systems, digital economies, and social impact investing. Over 40 publications span journals like Journal of Technology Transfer and International Business Review , emphasizing ecosystem dynamics and policy implications. Active in Dutch innovation networks, he advises on agricultural transition initiatives in the Foodvalley region and sits on supervisory boards for social ventures.

Yanjun Zhangمشاهده پروفایل

پژوهشگر ارشد

• Cybersecurity
• Privacy-Preserving Technologies
• Federated Learning
• +۳ مورد دیگر

Dr. Yanjun Zhang is an Honorary Research Fellow at the School of Electrical Engineering and Computer Science, The University of Queensland. His research focuses on privacy-preserving technologies, federated learning, cybersecurity in IoT systems, and machine learning security. He holds a PhD in Privacy-Preserving Sharing for Genome-Wide Analysis from The University of Queensland (2021). Education: PhD in Information Technology, School of Information Technology and Electrical Engineering, The University of Queensland (2021) Research Interests: Designing secure collaborative machine learning frameworks Defending against adversarial attacks in cyber-physical systems Privacy preservation in distributed genomic and medical data analysis Compliance and ethics in virtual personal assistant applications Key Contributions: Developed privacy-preserving federated learning frameworks (AgrAmplifier, PrivColl) Conducted foundational studies on evasion attacks in IoT systems Created datasets for analyzing malicious browser extensions and Alexa skills Labs/Teams: Active contributor to UQ Cyber initiatives, including the 2021-2022 Seed Funding project on federated deep learning for medical imaging.

Sonia Vanierمشاهده پروفایل

استاد

• Artificial Intelligence
• Operations Research
• Network Optimization
• +۴ مورد دیگر

Sonia Vanier is a Professor in the Department of Computer Science at École Polytechnique, where she holds multiple leadership positions: Head of the 'Trusted and Responsible AI' Chair (X/Crédit Agricole), Head of the 'Optimization and AI for Mobility' Chair (X/SNCF), Head of 3A, and Scientific Manager of Industrial Relations for both the Department and the Computer Science Laboratory (LIX). She coordinates the GdT OR (Network Optimization) working group and leads the REST (Energy, Services and Transport Networks) research axis of the CNRS GDROD, while serving on its scientific council. Her research develops decision support tools for complex industrial problems through hybrid approaches combining Artificial Intelligence and Operations Research , with focus areas including Network Optimization, ethical AI systems, sustainable computing, and trustworthy AI frameworks. Her work bridges theoretical foundations with applications in telecommunications, transportation, and cybersecurity. Publications demonstrate strong emphasis on optimization techniques (branch-and-price, cutting planes) applied to wireless networks, AI safety, and security challenges. Recent works explore LLM memorization, signomial programming, and multi-commodity flow problems, showing consistent integration of OR with machine learning for industrial-scale problems. Awards: Research Award and Innovation Award, Telecom Valley Association ALOES Orange Innovation Project She leads major industrial-academic partnerships through the Crédit Agricole and SNCF chairs, managing research grants focused on responsible AI deployment and mobility optimization. As Scientific Manager of Industrial Relations, she oversees industry collaborations for LIX laboratory. Affiliated with the Computer Science Laboratory (LIX), she directs the 3A research group and contributes to national initiatives through CNRS GDROD, coordinating research in network optimization and sustainable systems.

• Vehicular Networks
• Edge Computing
• IoT Security
• +۵ مورد دیگر

Hussein T. Mouftah is a Professor at the University of Ottawa , affiliated with the College of Engineering and Computer Science and the Department of Electrical and Computer Engineering . He is a leading figure in Intelligent Transportation Systems , Wireless Networks , and Smart Cities research. His research spans vehicular ad hoc networks (VANETs) , autonomous electric vehicles (CAEV) , edge computing , IoT security , and 5G/6G-enabled infrastructure . He pioneers dynamic wireless charging , deep reinforcement learning , and federated learning for mobility solutions. The 15 most recent articles highlight his work in edge computing (4 entries), vehicular networks (5 entries), machine learning (3 entries), and blockchain (2 entries), with sub-fields including UAV energy management , real-time task offloading , multi-modal fusion , and smart grid integration . His methodology combines deep RL for autonomous driving , federated learning for decentralized energy trading , and blockchain to secure ITS systems . He collaborates extensively with researchers like Parisa Fard Moshiri , Burak Kantarci , and Binod Vaidya on smart city infrastructure and vehicular security projects.

Carl Ho (Ngai Man)مشاهده پروفایل

استاد

• Power Electronics
• Heavy-Duty Electric Vehicles
• Renewable Energy Technologies
• +۵ مورد دیگر

Dr. Carl Ho (Ngai Man) is a Full Professor and Canada Research Chair in Efficient Utilization of Electric Power at the University of Manitoba's Price Faculty of Engineering, Department of Electrical and Computer Engineering. Appointed Associate Head (Electrical Engineering) in July 2021, he leads the Renewable-energy Interface and Grid Automation (RIGA) Lab established with CFI funding in 2014. His educational background includes: PhD in Electronic Engineering (2007), City University of Hong Kong MEng in Electronic Engineering (2002), City University of Hong Kong BEng in Electronic Engineering (2002), City University of Hong Kong Dr. Ho's research focuses on power electronics applications for sustainable energy systems, with particular expertise in power conversion technologies for electric vehicles, renewable integration, and smart grid infrastructure. His work bridges industrial application and academic innovation, evidenced by over 40 IEEE journal publications, 80 conference papers, and 20+ patents. Current research emphasizes wide-bandgap semiconductor applications, power hardware-in-loop validation, and DC microgrid architectures for remote communities. Analysis of his recent publications reveals a strong trend toward practical implementation of power electronics solutions, with increasing focus on GaN/SiC devices, grid-forming converters, and modular architectures for microgrids. His work consistently addresses real-world challenges in efficiency, reliability, and cost-effectiveness across renewable integration, electric transportation, and power quality domains. Notable awards include: Second Place Winner for 2018 IEEE Transactions on Power Electronics Prize Paper Multiple IEEE JESTPE Star Associate Editor Awards (2022-2023) IEEE TPEL AE Excellence Award (2023) Best Student Team Regional Award in IEEE Empower a Billion Lives 2019 As an active mentor, Dr. Ho supervises numerous graduate students across multiple cohorts and leads significant research initiatives including NSERC Discovery Grants, MITACS collaborations with Power Integrations Inc., Research Manitoba Innovation Proof-of-Concept Grants, and Natural Resources Canada projects on zero-emission heavy vehicles. His RIGA Lab serves as a hub for industry-academic collaboration with Manitoba Hydro and transportation sector partners. The RIGA Lab, completed in 2016 and renovated in 2019, houses specialized equipment for power electronics prototyping, real-time simulation, and hardware-in-loop testing. Current projects include advanced wireless EV charging, GaN-based controller development, and DC microgrid solutions for remote communities, with recent recognition including a visit from Prime Minister Justin Trudeau in April 2023.

Beatriz Botero Arcilaمشاهده پروفایل

استادیار

• Law of the Digital Economy
• Privacy Law
• Global Data Law
• +۴ مورد دیگر

Beatriz Botero Arcila is an Assistant Professor of Law at Sciences Po Law School and a Faculty Associate at the Berkman Klein Center for Internet and Society at Harvard University. She specializes in the governance of data, artificial intelligence, and digital surveillance. LLM and Doctorate from Harvard Law School Research Focus : Law of the Digital Economy Privacy Law / Global Data Law Surveillance Law Legal Theory Scientific Awards : Future of Privacy Forum's 14th Annual Privacy Papers Award (2024) Labs & Teams : Co-founder of The Edgelands Institute, a pop-up institute incubated at the Berkman Klein Center focused on digital surveillance and cities.

• Water resources engineering
• Surface water hydrology
• Data science
• +۷ مورد دیگر

Jeff Sadler is an Assistant Professor in the Department of Biosystems & Agricultural Engineering at Oklahoma State University, where he also serves as an Extension Specialist for Water Resources with OSU Extension. He leads the WaDE (Water Data and Education) Lab, focusing on data science and machine learning applications in water resources. Education: PhD in Civil and Environmental Engineering, University of Virginia (2019) MS in Civil Engineering, Brigham Young University (2015) BS in Civil Engineering, Brigham Young University (2013) Research Interests: Jeff’s research lies at the intersection of data science and water resources. He specializes in machine learning, particularly physics-guided and process-aware deep learning, for modeling stream temperature, water quality, flood dynamics, and hydrological forecasting. His work emphasizes real-time decision support, reproducible modeling, and integrating domain knowledge into data-driven systems. Recent Research Trends: His recent publications demonstrate a strong focus on advanced deep learning architectures (e.g., graph neural networks, recurrent models), data assimilation, multi-task learning, and surrogate modeling for environmental systems. Applications center on the Delaware River Basin and coastal Virginia, with implications for climate change adaptation and infrastructure resilience. Scientific Awards: No awards explicitly listed in the provided text. Advising and Grants: Jeff mentors graduate students and supervises master's and doctoral research. He is actively funded through multiple grants from the USDA, NOAA, and USGS, supporting projects in water quality monitoring, rural health, evapotranspiration forecasting, and integrated hydrological modeling. Labs and Teams: He leads the WaDE Lab, which develops data-driven tools for water resource education and management. He has collaborated extensively with researchers from the U.S. Geological Survey, University of Virginia, and other institutions on cyberinfrastructure, reproducible modeling, and environmental machine learning.

• Hydroinformatics
• Urban Hydrology
• Flood Modeling
• +۳ مورد دیگر

Jonathan L. Goodall is a Professor of Civil and Environmental Engineering and Director of the Link Lab at the University of Virginia. His research focuses on hydroinformatics, urban hydrology, and flood modeling, leveraging data science and cyber-physical systems to enhance resilience in coastal urban environments. He leads efforts in reproducible environmental modeling through integration of platforms like HydroShare, emphasizing open science and computational workflows. His work includes advancing machine learning techniques for real-time flood forecasting, integrating IoT and sensor networks for smart city applications, and assessing climate change impacts on coastal communities. Notable contributions involve developing surrogate models for flood prediction in Norfolk, VA, and studying compound flooding effects using hydrodynamic modeling paired with crowdsourced data. Collaborations span universities, national labs, and agencies like CUAHSI, focusing on environmental data interoperability and infrastructure resilience. Goodall’s research often addresses socio-technical challenges in urban flood management, combining engineering solutions with community engagement strategies. His lab explores reinforcement learning for real-time stormwater control, IoT education initiatives, and geospatial tools for flood vulnerability analysis. Projects frequently involve interdisciplinary teams and emphasize reproducibility through containerized environments and metadata standards.

Fendy Santosoمشاهده پروفایل

پژوهشگر

• Cybersecurity
• Artificial Intelligence
• Autonomous Systems
• +۱۲ مورد دیگر

Dr. Fendy Santoso is a leading researcher and Cyber-Physical Lead at the Artificial Intelligence and Cyber Futures Institute, Charles Sturt University, Australia. He also holds a Visiting Fellow position at the School of Engineering and Technology, UNSW Canberra, and has held visiting roles at the University of Cambridge and Cranfield University. His work bridges cybersecurity, AI, and autonomous systems, with significant impact in UAV security and cyber-physical resilience. Education: PhD in Electrical Engineering, University of New South Wales (Awarded: 21 Jun 2012) Master of Electrical and Computer Systems Engineering, Monash University (Awarded: 07 Jun 2007) Dr. Santoso’s research focuses on adversarial machine learning, UAV security, intrusion detection in robotic systems, and cyber-secure digital twins. His work integrates AI, control theory, and cybersecurity to enhance the resilience of autonomous systems. He has pioneered research in securing ROS-based platforms and defending against GPS spoofing and DoS attacks in unmanned vehicles. His recent publications (2020–2025) highlight a strong trend in applying deep learning, fuzzy logic, and physics-informed models to detect and mitigate cyberattacks in UAVs and UGVs. Key themes include intrusion detection systems, secure digital twins for agriculture, and intelligent transportation systems enabled by drones. His work is frequently published in IEEE Transactions and top-tier conferences. Scientific Awards and Grants: Vice-Chancellor’s Distinguished Early Career Travel Fellowship, University of Wollongong (2019) ARC Linkage Project Grant (LP230100083) on adversarial machine learning for UAVs (2024) CSIRO-funded AgriTwins project on cyber-secure digital twins for agriculture (2024) Dr. Santoso has secured over AUD 3 million in competitive research funding and actively supervises postgraduate students. He serves as a reviewer for the Australian Research Council and technical program committees of major AI and engineering conferences. His collaborative work spans defence organisations like DSTG and the U.S. Army Ground Vehicle Systems Centre, as well as international academic institutions. He is a Senior Member of IEEE and leads research in labs focused on cyber-physical systems, autonomous robotics, and AI-driven security frameworks. His team develops real-time detection tools for cyberattacks on military and agricultural robots, contributing to critical infrastructure resilience.