جست‌وجوی استاد و پژوهشگر

Sara Alidoustمشاهده پروفایل

مدرس ارشد

• Urban Planning
• Public Health
• Age-Friendly Cities
• +۴ مورد دیگر

Dr. Sara Alidoust is a Senior Lecturer in Planning at the University of Queensland's School of Architecture, Design and Planning , with affiliations to the Centre for Community Health and Wellbeing and the Centre of Architecture, Theory, Criticism and History. Her research merges Urban Planning and Public Health , focusing on: Developing resilient and liveable cities through systems thinking Age-friendly urban planning for elderly populations Addressing housing vulnerability in the Global North Enhancing community engagement in policy-making Recent publications analyze topics like anti-gating policies in China , thermal comfort in vertical cities , and house-sitting practices among older Australians. Her work informs national and international planning frameworks with emphasis on health equity. As a principal advisor for PhD candidates, she supervises projects on climate-resilient urbanism , gender-focused housing models , and car-free urbanism in low-density contexts. Current initiatives include 1000 Cities Challenge health indicators development.

Azadeh Ghari-Neiatمشاهده پروفایل

مدرس ارشد

• Internet of Things (IoT)
• Mobile Computing
• Crowdsourcing
• +۳ مورد دیگر

Dr. Azadeh Ghari-Neiat is a Senior Lecturer in Software Engineering at the University of Queensland's School of Electrical Engineering and Computer Science. She completed her PhD in Computer Science from RMIT University in 2018. Prior to joining UQ, she held academic positions at Deakin University as a Senior Lecturer and at the University of Sydney as a postdoctoral research fellow. Her research focuses on the intersection of Internet of Things (IoT), Mobile Computing, Crowdsourcing, and Cybersecurity. She develops innovative solutions for enhancing connectivity and security in modern computing environments through crowdsourced approaches. Key areas include service composition in sensor clouds, trust management frameworks, and optimization of drone-as-a-service systems. Her publications demonstrate consistent focus on IoT service ecosystems, with recent work exploring blockchain applications and machine learning techniques for dynamic systems. The research trends show evolution from fundamental service composition to AI-driven optimization in distributed environments. Dr. Ghari-Neiat leads projects involving energy service crowdsourcing and secure architectures for cyber-physical systems. Her work maintains strong emphasis on practical applications in delivery systems, UAV networks, and IoT marketplaces.

Andrea Ruggeriمشاهده پروفایل

استاد

• Civil Wars
• Peacekeeping
• Collective Political Violence
• +۶ مورد دیگر

Andrea Ruggeri is a Professor of Political Science and International Relations at the University of Oxford, affiliated with Brasenose College and the Department of Politics and International Relations (DPIR). He previously served as Assistant Professor at the University of Amsterdam and earned his PhD from the University of Essex. His research focuses on civil wars, peacekeeping, and collective political violence, with a regional emphasis on Africa and the Middle East. Ruggeri has published in top journals like the British Journal of Political Science and International Security, and his book Composing Peace examines UN peacekeeping mission composition. His academic roles include directing the Centre for International Studies and serving on editorial boards of journals like the Journal of Peace Research. Ruggeri has advised on policy briefs for the UN and NATO, emphasizing data-driven approaches to peacekeeping effectiveness. He has supervised numerous students and contributed to teaching at both undergraduate and graduate levels, integrating quantitative methods through initiatives like the Oxford Q-Step Centre. Ruggeri’s awards include the 2022 Teaching Excellence Award and recognition for Composing Peace being shortlisted for a top literary award. His work bridges quantitative and qualitative methods, exploring themes like conflict management, human rights, and the impact of ideology on political violence.

Andrew Hoolachanمشاهده پروفایل

مدرس

• Urban Governance
• Urban Political Ecology
• Sustainability
• +۴ مورد دیگر

Dr Andrew Hoolachan is a Lecturer in Urban and Regional Planning at the University of Glasgow's School of Social and Political Sciences. He holds a PhD from the University of Cambridge, an MSc from UCL, and an MA from the University of St Andrews. His research focuses on urban governance, sustainability, and political ecology, particularly exploring localism, devolution, and scalar politics in UK cities. He has conducted fieldwork in East London examining the Localism Act's impact on sustainable urban development and the Olympic Legacy. His methodological expertise includes visual and digital methods, policy analysis, and urban political ecology frameworks. Theoretical interests span scale constructions, cultural geographies, and phenomenology. He is affiliated with the Socio-Environmental Action and Place & Built Environment research groups. Recent outputs include studies on urban flood resilience, housing retrofitting, and walking-based pedagogy. His work bridges academic research with policy practice, contributing to reports for institutions like the Royal Town Planning Institute and the UK Collaborative Centre for Housing Evidence. He teaches modules on spatial planning strategies and urban economics, emphasizing experiential learning approaches.

Erhan Kutanogluمشاهده پروفایل

دانشیار

• Operations Research
• Disaster Resilience
• Supply Chain Management
• +۳ مورد دیگر

Erhan Kutanoglu is an Associate Professor in the Operations Research and Industrial Engineering Graduate Program at The University of Texas at Austin's Cockrell School of Engineering. He joined the faculty in 2002 and received a National Science Foundation Early Career Development Award that year. His research focuses on integrating predictive models with stochastic optimization to address challenges in disaster resilience, humanitarian logistics, and semiconductor manufacturing. Key areas include hurricane mitigation, power grid resilience, and supply chain optimization. Education: PhD in Industrial Engineering from Lehigh University (1999). Research Interests: Applied operations research for manufacturing/service logistics, disaster resilience decision-making, semiconductor cycle time optimization, and inventory modeling. Recent work emphasizes hurricane evacuation planning, flood mitigation for critical infrastructure, and equity considerations in grid resilience. Publications: Over 50 peer-reviewed articles in journals like IEEE Transactions, European Journal of Operational Research, and Annals of Operations Research. Notable work includes models for power grid resilience, patient evacuation strategies, and semiconductor manufacturing efficiency. Awards: NSF CAREER Award (2002), recognized for contributions to service logistics optimization and stochastic modeling. Advising & Grants: Advised graduate students on projects involving hurricane preparedness and semiconductor scheduling. Active in collaborative research with industry partners to streamline manufacturing processes and enhance disaster response systems. Labs/Teams: Engaged with the Cockrell School's infrastructure resilience research groups and interdisciplinary teams addressing climate adaptation challenges.

• Mobile Robotics
• Underwater Robotics
• Autonomous Systems
• +۴ مورد دیگر

John Folkesson is an Associate Professor at the Department of Robotics, Perception and Learning at KTH Royal Institute of Technology. His research focuses on mobile robotics, underwater autonomous vehicles (AUVs), and Simultaneous Localization and Mapping (SLAM), particularly addressing challenges in dynamic underwater environments. He leads the AUV group within the Swedish Maritime Robotics Centre (SMaRC2.0) and supervises multiple PhD projects, including those funded by Ocean Infinity and Vinnova. Folkesson has pioneered work on sonar-based SLAM, bathymetric mapping, and autonomous underwater navigation without human intervention. He teaches courses such as Probabilistic Graphical Models (DD2420) and Applied Estimation (EL2320). Recent projects include developing neural rendering techniques for sidescan SLAM and automatic launch systems for AUVs in collaboration with Purdue University and SAAB. His research emphasizes long-term autonomy, environmental ambiguity, and sensor data interpretation in unstructured underwater scenarios. Education: PhD in Robotics (2005, KTH Royal Institute of Technology) Recent Funding: 2024 projects include ALARS (Vinnova), WASP WARA-PS, and industrial collaborations. Research Interests Folkesson's work spans underwater robotics, SLAM algorithms, and sensor fusion. Key areas include: Underwater SLAM and sonar modeling Bathymetric reconstruction using neural networks Autonomous decision-making in AUV missions Real-time terrain modeling and localization Articles Trends Recent publications emphasize neural networks for SLAM optimization, sonar data processing, and autonomous underwater systems. Themes include real-time bathymetric mapping, sensor fusion in dynamic environments, and neural rendering techniques for improving navigation accuracy. Folkesson's work bridges theory and practice, with applications in marine robotics and industrial surveys. Advising & Grants PhD supervision: AUV perception (2024), SLAM with Ocean Infinity, event-response AUV systems. Collaborations: Purdue University, SAAB, Ocean Infinity. Course responsibilities: Over 10 advanced robotics and engineering courses at KTH. Labs & Teams Lead of SMaRC2.0, KTH's official research center for maritime robotics. Active in developing AUV systems for long-duration missions, including ice-covered and deep-sea exploration.

Orly Linovskiمشاهده پروفایل

دانشیار

• Transportation Equity
• Urban Planning
• Professional Planning Practice
• +۳ مورد دیگر

Orly Linovski is an Associate Professor in the Department of City Planning at the University of Manitoba’s Faculty of Architecture. Her work bridges professional planning practice, political processes, and urban space, emphasizing equity and justice. She holds a PhD from UCLA and advanced degrees from the University of Toronto and McGill University. Education: PhD (Urban Planning), University of California, Los Angeles M.Sc. (Urban Planning), University of Toronto B.A. (Geography/Urban Systems), McGill University Research focuses on transportation equity, private sector consulting roles, and municipal governance. Notable themes include equity in transit planning, professional practice dynamics in publicly traded firms, and participatory engagement strategies. Her work has been funded by SSHRC, MITACS, and the Centre for Professional and Applied Ethics. Teaching includes courses like Transportation and Urban Form (ARCG 7080) and Planning Research Methods (CITY 7020). She supervises students exploring transportation equity, professional planning practice, or privatization in planning, particularly with GIS or qualitative methods. Grants and Awards: Her research has been supported by SSHRC, MITACS, and other institutions. Collaborations include projects like the SSHRC-funded study on transit equity for marginalized groups in Canada. Labs/Teams: Active in the Manitoba Professional Planners Institute and as a Registered Professional Planner. Engaged in community-based research through partnerships highlighted in her SSHRC-funded projects.

• Artificial Intelligence
• Optimization Algorithms
• Machine Learning
• +۵ مورد دیگر

Grégoire DANOY is a Researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability, and Trust (SnT) and Head of the Parallel Computing and Optimization Group (PCOG). He specializes in artificial intelligence, with a focus on optimization algorithms, machine learning, and swarm intelligence. His work addresses challenges in cloud computing, high-performance computing, smart mobility, and unmanned autonomous systems like drone swarms. He has authored over 150 publications, including articles in IEEE Transactions and conferences like NeurIPS and GECCO. He currently leads major projects such as UltraBO (€1.019M), ADHOC (€1.291M), and SERENITY (€1.228M), collaborating with institutions in France and Poland. Education: PhD in Computer Science (2008) from École Nationale Supérieure des Mines de Saint-Étienne, Master’s in Computer Science (2004), and Industrial Engineering Degree (2003) from Luxembourg University of Applied Sciences. Research Interests: Developing novel AI techniques for solving large-scale optimization problems, with applications in distributed systems, autonomous robotics, and federated learning. He emphasizes scalable solutions for combinatorial challenges using parallel computing and swarm intelligence. Grants & Projects: Principal Investigator for EU-funded initiatives like ADARS (2021–2024) and FNR PoC/SIMMS (2019–2021). His work bridges academia and industry, with technology transfer projects in autonomous robot swarms. Awards: Recognitions include the Best Student Paper Nomination (2022), IEEE CybConf Best Paper Award (2017), and ACM GECCO nominations (2016, 2009). He serves on the editorial board of Engineering Applications of Artificial Intelligence (EAAI). Labs & Teams: Leads the Parallel Computing and Optimization Group (PCOG), focusing on interdisciplinary research in AI and distributed systems. He also contributes to outreach programs like FNR's Researchers at School.

David Sarpongمشاهده پروفایل

استاد

• Strategy
• Innovation Management
• Technology Management
• +۵ مورد دیگر

Professor David Sarpong is a leading academic in Strategy and Organisation at Aston Business School, part of Aston University's College of Business and Social Sciences. He currently serves as Head of the Marketing and Entrepreneurship Department and Director of Research for the Marketing and Strategy Subject Group. His research focuses on strategy-as-practice, relationalism, innovation management, and temporality in organizational processes. He holds adjunct roles at KNUST Business School and Bristol Business School, and is actively involved in professional organizations like EURAM and CABS. His work employs qualitative methods including ethnographic interviews and microstoria approaches. Professional Activities: He serves as Editor-in-Chief of the Journal of Strategy and Leadership, and on editorial boards for Technology Analysis & Strategic Management and European Management Journal. His external roles include UK Country Representative for EURAM and Board Membership at The Milestones Trust. He has held prior academic leadership positions at Brunel University London and visiting roles at HSE Moscow and University of KwaZulu-Natal. Research Interests: Prioritizes cross-level management problems using Heideggerian-Wittgensteinian frameworks. Key themes include second-order technology management, business tournament rituals, strategic foresight, and discursive practices in European cosmopolitan marketplaces. Methodologically innovative in combining narratives, digital datasets, and performative routines analysis. Collaborations: Active in global research networks with scholars across Africa, Europe, and Asia. Recent work addresses mining-industry partnerships, gender dynamics in extractive economies, and ethical dimensions of corporate governance. His research outputs number over 110 publications in top journals like Technovation and Journal of Business Research. Awards/Affiliations: Recognized through editorial leadership roles and visiting professorships. His research has policy implications for sustainable development, innovation ecosystems, and organizational resilience in global contexts.

Heather Fergusonمشاهده پروفایل

دانشیار

• Early Modern Statecraft
• Evolution of Muslim Societies
• History of Ethics
• +۹ مورد دیگر

Heather Ferguson is an Associate Professor of History at Claremont McKenna College, specializing in Ottoman and Middle Eastern History. Her research focuses on early modern empires, archival practices, and legal/urban transformations in the Mediterranean. She holds a Ph.D. from UC Berkeley and an M.A. from UT Austin. Notable works include *The Proper Order of Things* (2018) and her current project on Ottoman-Habsburg archival dynamics. Education: Ph.D. in History, University of California, Berkeley M.A. in Middle Eastern Studies, University of Texas at Austin Awards: American Council of Learned Societies Fellow (2014–2015) National Endowment for the Humanities Grant (2019) ACLS Burkhardt Fellowship (2020) Her research integrates comparative imperial studies, exploring how archives and legal frameworks shaped governance in Ottoman and Habsburg contexts. She emphasizes interdisciplinary approaches, linking ethics, power dynamics, and urban development. Ferguson serves as Editor for the *Review of Middle East Studies* and Associate Editor for the *International Journal of Islamic Architecture*. Her publications trace themes of archival mobility, legal discourses, and Mediterranean identities. Current projects investigate 'last acts' in imperial courts and the interplay between statecraft and documentary practices. Grants and Fellowships: Extensive support from ACLS, NEH, Ford Foundation, and FLAS programs. Service: Claremont Faculty Leadership Program member and academic editor roles. Ferguson’s work bridges historical analysis with contemporary scholarly debates, advocating for multi-perspectival research in Middle Eastern and Islamic studies.

Vyas Sekarمشاهده پروفایل

استاد

• Networking
• Cybersecurity
• Network Security
• +۹ مورد دیگر

Vyas Sekar is the Tan Family Professor of Electrical and Computer Engineering at Carnegie Mellon University (CMU), with a courtesy appointment in the Computer Science Department. He is affiliated with CyLab and co-directs the Future of Enterprise Security initiative. His research focuses on networking, cybersecurity, distributed systems, and IoT security, with an emphasis on data-driven approaches and network verification. Education: Ph.D. in Computer Science (2010) from CMU; B.Tech. from IIT Madras (President of India Gold Medal recipient). Professional roles include Chief Scientist at Conviva and co-founder of Rockfish Data. Research Interests: Cybersecurity, network security, software-defined networking (SDN), IoT security, DDoS defense, privacy-preserving data sharing, and network performance optimization. Recent work includes developing tools like Pigasus (FPGA-accelerated intrusion detection), Nomad (cloud side-channel mitigation), and frameworks for anomaly detection in IoT networks. Articles Trends: Recent publications address advanced threats like LLM-driven network attacks, stealthy automotive network exploits (CANDid), and optical-layer DDoS defenses. Emphasis on practical solutions (e.g., SketchPlan for telemetry, Pryde for firewall evasion detection). Awards: ACM SIGCOMM Test of Time Award (2022), IIT Madras Young Alumni Achiever Award (2022), Intel Outstanding Researcher Award (2021), and NSF CAREER Award (2016). Recognized for contributions to intrusion prevention, network security, and IoT resilience. Grants & Projects: Led NSF-funded ONSET project (optical-layer DDoS defense), CyLab's Secure IoT Initiative, and collaborations with industry partners like Intel, Facebook, and Nokia Bell Labs. Advises graduate students in cybersecurity and networking. Labs & Teams: Active contributor to CyLab, co-developer of frameworks like Lumos (hidden IoT device detection) and KalKi (IoT security platform). Engages in interdisciplinary research across CMU’s Robotics Institute and Software Engineering Institute.

Somayeh Dodgeمشاهده پروفایل

دانشیار

• Spatial Data Science
• GIScience
• Movement Analysis
• +۵ مورد دیگر

Somayeh Dodge is an Associate Professor of Spatial Data Science in the Department of Geography at the University of California, Santa Barbara (UCSB). She leads the MOVE Lab and serves as Co-Associate Director of the UCSB Center for Spatial Studies and Data Science. Her research focuses on computational movement analysis, spatiotemporal data science, and the application of these tools to study human and ecological systems. She holds editorial roles in major journals including Journal of Spatial Information Science and Geographical Analysis. Education: PhD in GIScience (University of Zurich, 2011), MS in GIS Engineering (K.N.Toosi University of Technology, 2005), and BS in Geomatics Engineering (2003). Postdoctoral work at The Ohio State University and University of Zurich. Prior faculty positions include University of Minnesota (2016–2019) and University of Colorado, Colorado Springs (2013–2016). Research interests include wildfire impact analysis, mobility patterns during disasters, environmental vulnerability modeling, and geovisualization techniques. Her NSF CAREER project explores movement responses to environmental disruptions. Teaching focuses on GIScience, movement analytics, and spatial modeling courses. Awards: 2021 NSF CAREER Award and 2022 AAG Emerging Scholar Award. Active in editorial boards for multiple journals and serves on the Board of Directors for the University Consortium for Geographic Information Science (UCGIS). Advising: Supervises 7 graduate students in mobility analytics and environmental modeling. Labs/Teams: MOVE Lab (https://move.geog.ucsb.edu/) focuses on computational movement ecology and human mobility studies.

Yanjun Renمشاهده پروفایل

استاد

• Food Chains
• Consumer Behavior
• Applied Econometrics
• +۱۳ مورد دیگر

Prof. Dr. Yanjun Ren is a Professor at the College of Economics and Management, Northwest A&F University (NWAFU), China, and has been an IAMO Visiting Research Fellow since May 2024. Prior to his IAMO role, he conducted research at Christian-Albrechts-Universität in Kiel, Germany, from 2012 to 2019. PhD in Agricultural Economics focusing on Food Consumption, Income Inequality, and Health-related Issues in China Former Research Assistant/Associate at Kiel University’s Chair of Agricultural Market Analysis (2012–2019) Dr. Ren’s research spans food chains, consumer behavior, and applied econometrics. His work explores how socioeconomic factors, digital transformation, and policy interventions shape food consumption, nutritional outcomes, and environmental sustainability in China and Central Asia. Key themes include food waste reduction, carbon labeling, internet use in rural economies, and intergenerational health behaviors. His 15 most recent articles (2023–2025) emphasize digital agriculture, sustainable consumption, and health economics. Topics include carbon-labeled products, television/media’s role in nutrition, contract farming sustainability, and the socioeconomic determinants of dietary choices. His methodology integrates econometric modeling, eye-tracking experiments, and spatiotemporal analysis. Email: ren@iamo.de

Reza Ghabchelooمشاهده پروفایل

استاد

• Robotics
• Automation Engineering
• Control Systems
• +۷ مورد دیگر

Reza Ghabcheloo is a Professor at Tampere University, affiliated with the Faculty of Engineering and Natural Sciences and the Department of Automation Technology and Mechanical Engineering. He leads the Robotics major and the international Automation Engineering program. His research focuses on autonomous mobile machines, robotics, control systems, and safety engineering, with specific interests in construction robotics, sensor fusion, and hydraulic systems. He co-leads the Autonomous Mobile Machines Group and is associated with the Robotics and Intelligent Machines Lab and the Innovative Hydraulics and Automation Lab. His research emphasizes developing autonomous systems for off-road machinery, safe control strategies, and energy-efficient automation. He has published extensively on topics such as reinforcement learning for crane control, radar-based perception, and safety architectures for autonomous systems. His work bridges robotics, control theory, and industrial automation, addressing challenges in heavy-duty machinery and real-world robotic applications. Research Group: Autonomous Mobile Machines Group Labs: Robotics and Intelligent Machines Lab, Innovative Hydraulics and Automation Lab Key Projects: Safety of automated off-road machinery, machine learning for autonomous loading, and trajectory optimization

Eric Saxمشاهده پروفایل

استاد

• Automotive Systems
• Autonomous Driving
• Cybersecurity
• +۷ مورد دیگر

Prof. Dr.-Ing. Eric Sax is a Professor of Electronic Systems Engineering and Management at the Karlsruhe Institute of Technology (KIT), serving as Dean of the Department of Electrical Engineering and Information Technology (ETIT). He leads the Institut für Technik der Informationsverarbeitung (ITIV) and directs the Forschungszentrum Informatik ESS division . As Program Director of the Electronic Systems Engineering & Management (ESEM) master's program at the HECTOR School, he focuses on integrating academic and professional education. His research spans automotive systems engineering , self-learning functions , cybersecurity , and data-driven validation . Key themes include over-the-air updates, scenario-based testing, and the synergy between machine learning and automotive systems. His work addresses challenges in autonomous driving validation, software-defined mobility, and cyber-physical system security. Prof. Sax's contributions include frameworks for automotive software partitioning, cloud-enabled vehicle architectures, and methodologies for quantifying data quality impacts on perception systems. He actively collaborates with industry partners to bridge academic research with industrial application. His recent projects include OptiCAM (cloud/edge function offloading), Drive4C (autonomous driving benchmarking), and UNCOVER (data-driven security monitoring). He holds leadership roles in both KIT and the HECTOR School's technology business programs.