جست‌وجوی استاد و پژوهشگر

Tim O'Shannassyمشاهده پروفایل

مدرس ارشد

• Strategic Management
• Corporate Governance
• Entrepreneurship
• +۵ مورد دیگر

Dr. Tim O'Shannassy is a Senior Lecturer in the School of Management at RMIT University, with a 26-year tenure. He holds roles such as MBA Director, RMIT Ford Motor Company Program Manager, and Academic Board member. His teaching focuses on strategic management, entrepreneurship, and operations in Executive MBA programs across Australia, Malaysia, Hong Kong, and Macau. Tim earned his PhD in Strategic Management from Monash University (2005). He served as Associate Editor of the Journal of Management & Organization (2012–2024), receiving the 2018 Associate Editor Excellence Award. He currently serves on editorial boards of top journals like Journal of Strategy and Management and Australian Journal of Management . His research interests span strategic management, corporate governance, and qualitative/quantitative methods. He has authored 23 journal articles, 18 conference papers, and five book chapters. Notable contributions include case studies on ANZ Banking Group, Cochlear Limited, and Ryanair, as well as co-authoring Strategic Management: The Challenge of Creating Value . Tim has received awards such as the RMIT 25 Years Service Award (2024), the RMIT College of Business and Law 'Enabling' Award (2023), and multiple Outstanding Reviewer Awards. He also volunteers as President of Dendy Park Tennis Club, leading a $6.5M venue rebuild project with Tennis Australia. Industry experience includes roles at ANZ Banking Group and Westpac, while community service includes leadership roles in Dendy Park Tennis Club.

• Natural Language Processing (NLP)
• Machine Learning
• Statistical Machine Translation
• +۳ مورد دیگر

Philippe Langlais is a Full Professor at the University of Montreal's Department of Computer Science and Operational Research (DIRO), specializing in Natural Language Processing (NLP). He holds affiliations with research units like the Applied Research Laboratory in Computational Linguistics (RALI) and the Centre de Recherche Interuniversitaire sur les Humanités Numériques (CRIHN). His academic journey includes a PhD from the University of Avignon (1995) and postdoctoral work at IDIAP in Switzerland and KTH in Sweden. Education: PhD in Computer Science, Université d'Avignon (1995) Research Interests: Machine translation, machine learning, analogical learning, computer-assisted translation, morphology acquisition, and NLP applications in judicial and medical contexts. Projects: Principal investigator for initiatives like 'BUMP: Better Understanding of Model’s Performance' and collaborator on large-scale projects such as UNIQUE (Neuroscience & AI) and CRIHN. His work involves developing NLP tools for aviation safety reports, legal texts, and healthcare diagnostics. Awards/Grants: Secured funding from CRSNG, FRQSC, MITACS, and industry partners. Recent grants include 'Revue3.0' (2024-2032) and 'Union Neurosciences et Intelligence Artificielle Québec (UNIQUE)' (2022-2029). Labs/Teams: Leads RALI and contributes to CRIHN, focusing on interdisciplinary applications of NLP in humanities and computational linguistics.

• Regional air transport
• Airport Planning
• Airport Metropolis
• +۵ مورد دیگر

Professor Douglas Baker is an academic in the Faculty of Engineering at Queensland University of Technology (QUT), specifically in the School of Architecture & Built Environment . He holds a PhD from the University of Waterloo and has extensive experience in urban and regional planning. His research focuses on regional air transport, airport planning, governance, and land use management. He has collaborated with entities like Brisbane Airport Corporation, Queensland Department of Infrastructure, and international organizations such as the Canadian Institute of Planners. Research Highlights: His work explores airport metropolis dynamics, integrated resource management, and sustainable urban development. Notable projects include studies on airport economic impacts, parking management innovations, and food policy integration. He has supervised over 10 PhD and master’s students, with recent topics including climate change adaptation and stakeholder engagement in environmental decision-making. Professional Contributions: He serves on technical committees for Australian and international planning institutions, advising on governance frameworks and policy reviews. His research has been published in journals like Transport Policy , Journal of Cleaner Production , and Urban Studies .

• Energy Engineering
• Thermal Energy Systems
• Renewable Energy
• +۴ مورد دیگر

Dr. Alessandro Romagnoli is an Associate Professor at Nanyang Technological University's School of Mechanical and Aerospace Engineering, and Co-Director of the NTU-Surbana Jurong Corporate Lab. His research focuses on sustainable energy systems including thermal energy conversion, cryogenic storage, and geothermal energy. He established the Thermal Energy Systems Lab and advises international organizations like the World Bank on energy projects. His research explores: Optimization of multi-energy systems for microgrids Advanced thermal storage technologies including packed bed and phase-change materials Geothermal energy extraction and reservoir management Integration of hydrogen and cryogenic storage in urban energy networks Thermal safety solutions for electric aviation batteries Recent publications demonstrate strong focus on computational modeling of energy systems (47% of articles), experimental validation of thermal storage (27%), and geothermal resource development (20%). Research consistently addresses energy efficiency optimization and renewable integration challenges. Dr. Romagnoli provides strategic guidance to the IFC, Asian Development Bank, and European Research Council on energy initiatives, and leads a S$60M urban sustainability research program.

• Wireless Sensor Networks
• Unmanned Aerial Vehicles (UAVs)
• Air Traffic Management
• +۷ مورد دیگر

Rafael Casado González is a Professor at the Department of Systems Informatics, School of Engineering, University of Castilla-La Mancha, Spain. He was previously an Associate Professor at the same institution and was promoted to Full Professor (Catedrático de Universidad) on May 23, 2023. His academic journey includes a Doctorate in Computer Engineering from UCLM (2001), a degree in Computer Engineering from Universidad de Murcia (1996), and a Technical Engineering in Systems Informatics from UCLM (1993). Doctor Ingeniero en Informática – University of Castilla-La Mancha (2001) Ingeniero Informático – Universidad de Murcia (1996) Ingeniero Técnico en Informática de Sistemas – University of Castilla-La Mancha (1993) His research spans Wireless Sensor Networks (WSNs) , Unmanned Aerial Vehicles (UAVs) , air traffic management , and high-performance network reconfiguration . He has made significant contributions to aviation safety, particularly in missed approach maneuvers , aircraft reinjection , and conflict resolution in U-Space . His work also extends to distributed forest fire monitoring and entrepreneurship education in engineering . The 15 most recent publications reflect a strong trend toward UAV traffic management , environmental sustainability in aviation , and intelligent systems for air navigation . His work combines simulation, machine learning, and real-time algorithms to improve safety and efficiency in complex airspace environments. Earlier works focus on network reconfiguration and localization in WSNs , indicating a long-standing interest in distributed and autonomic systems. Rafael Casado González has collaborated with prominent researchers such as Aurelio Bermúdez, Carlos T. Calafate, and Pablo Boronat across multiple publications. His affiliations are consistently with the University of Castilla-La Mancha, and he contributes to both technical and educational research domains. There are no listed scientific awards or honors in the provided text. He has advised or collaborated on various research projects, particularly in UAV systems and WSNs, though specific student names are not mentioned. His work has been supported through institutional affiliations and collaborative research, but no grants are explicitly listed. He is actively involved in developing simulation frameworks and real-time navigation systems for autonomous drones. While no specific lab or research group name is mentioned, his work on SensGrid , UAV navigation frameworks , and WSN-based fire monitoring systems suggests involvement in a research lab focused on intelligent distributed systems and aerospace applications.

Mustafa Özgerمشاهده پروفایل

استادیار

• Wireless Communications
• Network Architecture
• Sensing and Communication Systems
• +۵ مورد دیگر

Mustafa Özger is a Tenure Track Assistant Professor at the Department of Electronic Systems within the Technical Faculty of IT and Design at Aalborg University, Denmark. His research focuses on advanced communication systems, including 6G networks, non-terrestrial networks (NTN), unmanned aerial vehicles (UAVs), cognitive radio systems, and ultra-reliable low-latency communication (URLLC). He has contributed significantly to edge computing and networking, with a particular emphasis on integrating sensing capabilities with communication systems. His work also addresses challenges in network architecture design, handover management, and deep reinforcement learning applications for improving connectivity and reliability. Key research interests include airspace and network integration for future communication systems, signal classification using neural networks, and low-latency solutions for multi-connectivity scenarios. He has published extensively, with over 73 peer-reviewed articles since 2013, covering topics from cognitive radio networks to satellite constellations. His research often explores the intersection of machine learning and communication systems, with practical applications in IoT, vehicular networks, and underwater acoustic communications. Özger’s recent work highlights his leadership in emerging 6G technologies, particularly in adaptive network architectures that combine terrestrial and non-terrestrial elements. He has also pioneered methods for minimizing handover delays in NTN environments using Open RAN functional splits and developed denoising techniques for localization systems using autoencoder algorithms.

Thomas Jungløw Thessenمشاهده پروفایل

مدرس پاره‌وقت

• Transportation Economics
• Urban Development
• Sustainable Aviation
• +۳ مورد دیگر

Thomas Jungløw Thessen is a PartTime Lecturer at Aalborg University's Department of Architecture, Design and Media Technology within The Technical Faculty of IT and Design. He holds a Master's degree in Economics from University of Copenhagen and serves as Chief Economist at Copenhagen Airport. Current academic affiliation: Aalborg University Professional role: Chief Economist Key research areas: Transportation Economics, Sustainable Aviation, Regional Development His work focuses on socio-economic impacts of aviation infrastructure, including economic modeling, tourism analysis, and environmental considerations. Recent activities include chairing committees at ACI Europe and participating in academic collaborations.

Abubakar Balaمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +۴ مورد دیگر

Dr. Abubakar Bala is a Senior Lecturer at the Malaysia School of Business, Monash University. His research focuses on artificial intelligence (AI), machine learning, and their applications in cybersecurity, edge computing, environmental engineering, and optimization algorithms. He actively contributes to the UN Sustainable Development Goals (SDGs), particularly in sustainable resource management and innovation. His work spans diverse domains such as drone detection via machine learning, AI-driven machine maintenance, and hybrid desalination plant optimization using deep learning. He has collaborated internationally on projects addressing cyber-physical systems security, multi-object tracking, and cloud computing efficiency. Publications highlight a trend toward applying metaheuristics in reservoir computing and neural networks, alongside optimizing industrial processes like virtual machine placement and fault prediction in aviation engines. His research also emphasizes energy efficiency, security protocols for IoT/drone systems, and Six Sigma methodologies in plant analytics. No scientific awards or formal advisees are explicitly listed. His work bridges theoretical advancements with practical applications in engineering and computer science.

Nirajan Shiwakotiمشاهده پروفایل

استاد

• Transport Engineering
• Sustainable Transportation
• Connected and Automated Vehicles
• +۵ مورد دیگر

Professor Nirajan Shiwakoti is a leading academic in transport engineering at RMIT University, holding a Professorship since 2025. He specializes in transport safety, automated vehicles, and sustainability, with global recognition including top 2% citation status in logistics and transportation. His research focuses on resilient transport systems, decarbonization, and cybersecurity in emerging technologies. Shiwakoti leads the Intelligent Transport and Mobility Systems group, addressing societal impacts of technologies like EVs and CAVs. He has over 20 awards, including honors from Fresh Science Australia and the International Association of Traffic and Safety Sciences. Teaching roles include program director for Sustainable Systems Engineering and course coordination in Intelligent Transport Systems. His work integrates interdisciplinary methods like agent-based modeling and life cycle assessment to solve complex transport challenges. Research Focus: Pedestrian safety, CAV cybersecurity, decarbonization, supply chain resilience Awards: CASS Foundation, ARRB, ISTTT (Berkeley), IATSS Teaching: Sustainable engineering, transport systems courses Recent Projects: Automated vehicle simulation, cold supply chain optimization, rail dwell time modeling Shiwakoti’s 196+ publications span safety frameworks, automated vehicle deployment, and sustainability transitions. He advises international bodies like the Transportation Research Board and FEHRL. His lab develops innovative solutions for smart cities and global transport networks, emphasizing interdisciplinary collaboration and real-world impact.

• Ray-Tracing Techniques
• Airport Security Systems
• Wireless Localization Algorithms
• +۳ مورد دیگر

Antonio del Corte Valiente is an Associate Professor at the Department of Automática, University of Alcalá. His research focuses on enhancing airport safety and precision localization through ray-tracing techniques, wireless networks, and artificial neural networks. He earned his PhD in 2011 with a thesis on improving airport security via efficient localization algorithms using WLAN networks and ray-tracing methods, supervised by Dr. Óscar Gutiérrez Blanco and Dr. José Manuel Gómez Pulido. His work integrates interdisciplinary approaches, combining electrical engineering with aerospace and civil engineering challenges. Key contributions include developing hybrid localization systems (ray-tracing + fingerprinting) for indoor-outdoor environments, neural network models for energy-efficient lighting, and non-cooperative aircraft surveillance systems using short-range radar. He is affiliated with the HCIS group (Health Computing and Intelligent Systems), though his primary research remains in transportation and airport infrastructure. No scientific awards are listed, but his publications span over a decade of consistent output in localization, aviation safety, and smart systems. His advising record is not explicitly detailed here, but his doctoral work indicates mentorship potential in advanced localization and safety engineering. Ongoing research likely explores further integration of AI and sensor networks in critical infrastructure systems.

Luis Usero Aragonésمشاهده پروفایل

استاد

• Computational Intelligence
• Wildfire Prevention
• Computer Vision
• +۵ مورد دیگر

Luis Usero Aragonés is a Professor at the Department of Computer Science at Universidad de Alcalá (UAH). He is affiliated with research groups including CSRG-UAH (Cognitive Science Research Group) and previously HCIS (Health computing and Intelligent Systems). His research focuses on computational intelligence applied to wildfire prevention, computer vision technologies, and educational software development. He holds a PhD from UAH on computational intelligence techniques for monitoring forest fuel moisture using satellite imagery. His academic background includes work in neural networks, machine learning, and cloud governance frameworks for higher education institutions. Notable contributions include development of the LearningRlab educational R package, drone detection algorithms using thermal imaging, and outlier detection models for wind tunnel sensor data. Publications span topics such as semi-supervised video segmentation, R package comparisons for text mining, and trust models in e-commerce systems. His research integrates contextual information analysis for applications in health informatics, aviation systems, and library user guidance.

• Aircraft Propulsion
• Gas Turbine Technology
• Aerodynamic Optimization
• +۴ مورد دیگر

Prof. Volker Gümmer is a Professor at the Technical University of Munich (TUM) holding the Chair of Turbomachinery and Flight Propulsion. He specializes in aerodynamic optimization of compressors/turbines, future propulsion systems, and gas turbine component design. His academic career includes roles at Rolls-Royce Group as Chief of CFD Methods and Associate Fellow for Compression Systems. Education: Studied mechanical engineering at TU Braunschweig (until 1991), earned his PhD from TU Munich (1999) on compressor blade design. His research focuses on advancing gas turbine efficiency and aerothermal technology. Research Highlights: Develops innovative heat exchanger concepts, applies CFD methods to turbomachinery, and optimizes fan systems for aviation. Key projects include the V2500 Select and BR725 engine developments. Awards: Sir Henry Royce Innovations Award (2014) Trusted to Deliver Excellence Award (2014) His work bridges academia and industry, with contributions to Rolls-Royce's technical leadership and TUM's engineering education. No specific lab affiliations mentioned, but collaborates extensively with aerospace R&D networks.

Satu Miettinenمشاهده پروفایل

استاد

• Service Design
• Arts-based Methods
• Empathy
• +۴ مورد دیگر

Saturn Miettinen is a Professor at the Faculty of Art and Design, University of Lapland. She leads research in Service Design, Arts-based Methods, and Empathy-driven innovation. Her work emphasizes place-making in Arctic contexts and strategic foresight in design. She has led 33 projects including EU-funded initiatives like ProtoXR and VTST, focusing on virtual production technologies and empathy in business. Key awards include the ADI Golden Compass Honourable Mention and Tiedepalkinto. Research interests span service design methodologies, non-human communication, and bioart collaborations. She has supervised 18 projects and published 319 works since 1997. Current roles include co-leadership of UArctic's Arctic Sustainable Arts and Design network and the DeSo Designed Society community. Teaching involves graduate programs like the Joint Master's in Service Design Strategies. 35+ international collaborations across 15+ countries 12+ active research projects (2023-2028) 6+ academic networks and editorial roles Her lab work includes BioARTech initiatives and participatory design studios. Recent activities include organizing Cumulus 2025 conference and presenting at global design forums. She co-authored boundary-spanning design frameworks and empathic service systems.

Cheng-Lung Wuمشاهده پروفایل

دانشیار

• Airline Operations Management
• Airport Terminal Planning
• Aircraft Scheduling
• +۴ مورد دیگر

Associate Professor Cheng-Lung Wu is an academic at the School of Aviation, University of New South Wales (UNSW), specializing in airline operations, airport terminal planning, and big data analytics. He holds a PhD from Loughborough University (UK) and has over 20 years of industry-academia collaboration experience. His work focuses on optimizing airline and airport processes, including aircraft scheduling, maintenance, and passenger behavior modeling. Research interests include: airport operations, schedule optimization, data-driven decision-making, and sustainability in aviation. Notable projects include fuel efficiency models for Qantas, passenger booking analytics for Virgin Australia, and airport digitalization strategies for Taipei Songshan Airport. His research has influenced industry standards, such as IATA’s delay data system and Chicago O’Hare’s terminal co-location strategy.

• Network Security
• Systems Security
• Wireless Sensor Networks
• +۳ مورد دیگر

Dr. Martin Strohmeier is a post-doctoral researcher at the University of Oxford's Department of Computer Science, specializing in network and systems security with a focus on wireless aviation technologies, critical infrastructure protection, and satellite communication. His research bridges theoretical cybersecurity with real-world applications, particularly in securing air traffic control systems and space-based networks. Education: DPhil (Oxford) in Computer Science; MSc in Computer Science from TU Kaiserslautern, Germany. He previously conducted visiting research at Lancaster University’s InfoLab21 and Lufthansa AG. Research Interests: His work addresses vulnerabilities in aviation cybersecurity, satellite communication protocols, and adversarial machine learning. Notable projects include developing cyber-physical security solutions for air traffic control, analyzing GNSS disruptions, and co-founding the OpenSky Network to crowdsource aviation data for research. Awards: EPSRC Doctoral Prize Award (2021) for his doctoral work on wireless aviation security. OpenSky Network: Co-founder and active contributor to this collaborative platform that aggregates and analyzes global flight data to improve aviation safety and environmental impact studies. Current Projects: Investigating satellite authentication mechanisms, jamming-resistant systems, and personalized phishing defense strategies through augmented reality training.