جستجوی استاد راهنمای دانشگاهی

• Wireless Communications
• Wireless Propagation Mechanisms
• Wireless Networks
• +۵ مورد دیگر

Pamela Njemcevic is an Assistant Professor at the University of Sarajevo, affiliated with both the Faculty of Electrical Engineering and the Faculty of Transport, Traffic and Communications. She holds a Ph.D. from the University of Sarajevo (2016) and has been actively involved in research and teaching since 2006. Her research focuses on wireless communications, propagation mechanisms, and network technologies, with notable contributions to fading models, SDN architectures, and OFDM systems. Education: Bachelor's degree in Electrical Engineering (2006) Master's degree (2011) Ph.D. (2016) Research Interests: Wireless propagation mechanisms LPWAN and IoT technologies Software-Defined Networking (SDN) OFDM system optimization Quantum cryptography in 5G Publications reflect expertise in fading channel modeling, SDN performance, and wireless system design. Her work bridges theoretical analysis and practical network implementations. Collaborations include projects on TETRA systems and in-service testing of OFDM error floors. Advising and Grants: Pamela has contributed to multiple research projects, though specific grants or advisees are not listed. Her work emphasizes applied research with industry relevance.

Ivica Kostanicمشاهده پروفایل

دانشیار

• Wireless Communications
• Wireless Multimedia Communications
• Wireless Sensor Networks
• +۷ مورد دیگر

Dr. Ivica Kostanic is an Associate Professor in the Department of Electrical Engineering and Computer Science at Florida Institute of Technology (FIT), serving as Director of the Wireless Center of Excellence (WiCE). He holds affiliations with both the College of Engineering and Science and the WiCE, leading research in wireless communication systems, sensor networks, and mobile analytics. His work emphasizes practical applications in cellular, microwave, and satellite communication. Research Focus: WiCE research spans wireless sensor networks (WSN), quality of service (QoS) optimization, LTE/5G network analysis, and hurricane monitoring via WSN. Key projects include the Mobile Video Quality Prediction (MVQP) initiative, which evaluates video streaming over cellular networks, and sensor network deployments in diverse terrains. Collaborations with industry partners enhance practical relevance. Publications & Awards: Over 50 peer-reviewed publications highlight contributions to WSN performance modeling, video quality metrics, and LTE optimization. Notable recognition includes a Best Paper Award at WCECS 2014 for subjective video quality assessment in LTE networks. Recent work extends to 5G beamforming, UAV communication systems, and spatial mobility analysis. Education & Mentorship: Teaches graduate courses in RF propagation, communication theory, and wireless systems. Advises numerous PhD and MS students, many contributing to WiCE projects. His curriculum development includes the Wireless Systems and Technology specialization, emphasizing theoretical and applied skills. Labs & Facilities: Oversees two labs: the WiCE Research Lab (equipped with CAD tools like Agilent ADS) and the Microwave Lab (featuring anechoic chambers and network analyzers). Software tools like SimWiser and HSN Client aid WSN simulation and deployment analytics.

Radha Reddyمشاهده پروفایل

استادیار

• Intelligent Transportation Systems
• Wireless Sensor Networks
• IoT Security
• +۴ مورد دیگر

Radha Reddy is an Assistant Professor in the Department of AI & ML at Mohan Babu University, AP, India. Previously, she served as an Assistant Professor at Amrita University, TN, India. She holds a PhD in Electrical and Computer Engineering (EEC) from the University of Porto (2023), supported by an FCT fellowship. Her research focuses on Intelligent Transportation Systems, particularly optimizing traffic light control for mixed human/autonomous traffic to enhance urban sustainability. She has eight years of full-time research experience with institutions like COPELABS-Lisbon, Inria-Paris, and CISTER Research Center-Porto, and collaborates with CEDRIC Labs CNAM-Paris since 2013. Education : B.Sc. in Computer Science (2007), Sri Venkateswara University M.Sc. in Computer Science (2009), Sri Venkateswara University M. Tech. in Computer Science and Engineering (2014), Jawaharlal Nehru Technological University Ph.D. in Electrical and Computer Engineering (2023), University of Porto Research Interests : Her work centers on Intelligent Transportation Systems , including traffic light control for autonomous vehicles, wireless sensor networks, IoT security, and sustainable urban mobility. She explores synchronization protocols to reduce traffic delays and emissions, with applications in mixed traffic scenarios. Publications : Her recent work (2023–2024) emphasizes energy efficiency in electric vehicles at intersections, worst-case response time analysis, and synchronization frameworks for complex intersections. These contributions advance real-time traffic management and eco-friendly urban planning. Collaborations : She collaborates with CISTER Research Center, COPELABS, Inria, and CEDRIC Labs, focusing on interdisciplinary projects in transportation and network security. Her work spans both theoretical and applied research in smart infrastructure.

Xiangyun Zhouمشاهده پروفایل

دانشیار

• Wireless Communications
• Physical Layer Security
• Covert Communication
• +۵ مورد دیگر

Associate Professor Xiangyun Zhou is affiliated with the School of Engineering at The Australian National University (ANU). He holds editorial roles as Executive Editor for IEEE Communications Letters and has served on editorial boards for IEEE Transactions on Wireless Communications and other journals. His research focuses on communication theory, wireless networks, physical layer security, IoT systems for wildfire detection, and energy-efficient communication protocols. He has organized major international workshops and conferences, including ICC and Globecom sessions on physical layer security and energy harvesting communications. Dr. Zhou is a Fellow of the IEEE and has contributed to projects such as IoT ground sensing systems for bushfire detection and 6G terahertz communication systems. Education: Bachelor of Engineering (First Class Honours) from ANU (2007) Ph.D. in Engineering from ANU (2010) Postdoctoral Fellowship at University of Oslo (2010–2011) Research Interests: Wireless communications, physical layer security, covert communication, terahertz systems, IoT applications, and energy-efficient protocols. Grants & Projects: Principal Investigator on projects like ‘Ultra-Fast and Secure Terahertz Communications for 6G Wireless Systems’ (2023–2026) and ‘ANU Bushfire Smoke Dataset’ (2024–2024). Worked on ‘IoT Ground Sensing Systems for Wildfire Detection’ and ‘Secure Wireless Machine-Type Communications’. Labs/Teams: Involved in ANU’s engineering research teams and serves on IEEE committees. Active in community initiatives like the ANU Football Club’s Men’s Master League.

• Cybersecurity
• Machine Learning
• Network Security
• +۳ مورد دیگر

Shawkat K. Guirguis is an academic researcher with a focus on cybersecurity, machine learning, and IoT technologies. His work spans across intrusion detection systems, botnet prevention, and adaptive algorithms for network security. He has contributed to advancements in deep learning applications for social media analysis and real-time trajectory compression. His research often intersects with practical implementations in smart cities and healthcare authentication systems. Key areas of exploration include the use of boosting algorithms, tree-based models, and blockchain integration to enhance IoT security. His publications highlight contributions to wireless sensor networks and stock prediction models. Despite extensive research output, affiliations such as university or department remain unspecified in available records.

• Wireless Communications
• 5G Networks
• Machine Learning
• +۵ مورد دیگر

Dr. Lecturer İnci Umakoglu is an Assistant Professor at the Faculty of Engineering , Kütahya Dumlupınar University . She holds a PhD in Electrical-Electronics Engineering from the same university and has been a Research Assistant in multiple laboratories since 2015, including Analog & Digital Communications, Measurement & Circuit, and Logic Design. Her research focuses on Wireless Communication Systems (NOMA, OTFS modulation) Antenna Design for 5G and beyond UAV-assisted network architectures IoT device security protocols She has led and advised numerous student research projects in avionics, telemetry, and low-altitude defense systems under the TÜBİTAK 2209-A and Scientific Research Project (BAP) programs. Recent publications highlight her work in deep learning for signal detection , LoRa-based telemetry systems , and IoT security methods , with a strong emphasis on practical implementations in 5G and UAV technologies. She is an active member of IEEE and the Applied Computational Electromagnetics Society (ACES) .

• Civil Engineering
• Transportation Engineering
• Hydraulic Modelling
• +۵ مورد دیگر

Dr. Marc Miska is a Senior Lecturer at Queensland University of Technology (QUT), affiliated with the School of Civil & Environmental Engineering. He holds a PhD from Delft University of Technology and has over 15 years of experience in applied informatics for civil engineering, spanning hydraulics, transport systems, and container logistics. His research focuses on data-driven solutions, including smoothed particle hydrodynamics for urban flood simulation, digital twins in stormwater management, and ontology-based hydraulics models. He teaches construction methodologies and contracting regulations, and has contributed to projects like the Brisbane Metropolitan traffic simulation framework. Key research interests include transport modeling, urban hydrology, and integrating new technologies into civil engineering practice. Recent work emphasizes flood modeling using SPH methods and improving decision support systems through simulation. His publications span 20+ years, addressing traffic simulation, sensor data fusion, and sustainable construction practices. Miska has supervised doctoral and master’s students on topics like BRT station design, traffic signal optimization, and worker productivity in harsh climates. Education: Doctor of Philosophy (Civil Engineering), Delft University of Technology, Netherlands Professional Experience: Senior Lecturer, QUT (2018–present) Project Leader, Smart Transport Research Centre, QUT (2010–2018) Postdoctoral Research Fellow, University of Tokyo (2007–2010) Teaching: Coordinates EGB382 (Construction Methodologies) and EGB482 (Contracting Regulations) Guest lectures on mobile computing (IAB230) Research Contributions: His work bridges theory and practice through tools like OpenTrafficSim and SPH-based flood models. Recent trends in publications emphasize environmental engineering (soil-carbon analysis, rainfall simulators) and smart transport systems (BRT optimization, Bluetooth data analysis). His frameworks are used in urban planning and disaster risk mitigation. Awards: None explicitly listed. Grants & Supervision: Supervised 6+ doctoral projects (e.g., heterogeneous traffic modeling, BRT station design) and 2 master’s studies. Collaborates with industry on transport data standards and infrastructure resilience. Labs/Teams: Active in QUT’s Civil Engineering discipline, contributing to the School’s focus on sustainable infrastructure and digital innovation.

• Artificial Intelligence
• Big Data
• Business Intelligence
• +۷ مورد دیگر

CHEN Yi Ting is an Associate Professor of Computer Science in the Department of Operations, Information and Decisions at MBS in France. She holds adjunct professorships at Texas Tech University (USA) and National Cheng Kung University (Taiwan), and collaborates with the Karlsruhe Institute of Technology (Germany). As a co-founder of three AI companies in Asia and Europe, she bridges academia and industry, specializing in AI and IoT applications for operational optimization. Her research interests include smart cities, transportation, energy, telecommunications, and agriculture. Education: BSc, MSc, and PhD in Computer Science from National Chiao Tung University (Taiwan) Research Focus: Leveraging AI and IoT to enhance operational efficiency in sectors like smart cities, energy systems, and agricultural monitoring. Key themes include digital twin technology, predictive analytics, and sustainable business practices. Recent work emphasizes transportation logistics, customer engagement analytics, and econometric risk modeling. Articles Trends: Publications span predictive modeling for travel time, IoT-driven agriculture, and fintech applications. Notable contributions include frameworks for freight logistics optimization and machine learning approaches to energy demand forecasting. Awards: No explicit awards listed in the provided text. Advising & Grants: No student advisees listed. Collaborations include partnerships with industry and academic institutions, though specific grant details are not provided. Labs/Teams: Engaged with cross-disciplinary teams at MBS and partner institutions, focusing on AI-driven solutions for operational challenges.

• Data Mining
• Database Systems
• Temporal Databases
• +۴ مورد دیگر

John F. Roddick is a Professor affiliated with Flinders University in South Australia. His research focuses on data mining, database systems, and temporal databases, with significant contributions to association rule mining, schema evolution, and privacy-preserving techniques. He has collaborated extensively with researchers like Shu-Chuan Chu and Jeng-Shyang Pan, producing over 138 publications across journals and conferences. Key contributions include work on schema versioning, temporal vacuuming in databases, and algorithms for wireless sensor networks. His research extends to image processing, biometrics, and swarm intelligence, with notable applications in traffic prediction and secure communication systems. He has edited conference proceedings and contributed to encyclopedic entries on database systems and data warehousing. Roddick's work often bridges theoretical foundations with practical applications, emphasizing interdisciplinary approaches to data management challenges. His publications span venues such as IEEE Transactions on Knowledge and Data Engineering, Data & Knowledge Engineering, and the Journal of Network and Intelligence.

Yusuf Ozbekمشاهده پروفایل

استاد آموزشی

• Machine Learning
• Deep Learning
• Neural Networks
• +۴ مورد دیگر

Yusuf Ozbek is a Teaching Professor in the Information Systems Program at Northeastern University's College of Engineering. He has been teaching since 2007, blending industry experience (Web Programmer, CAD Engineer) with academic roles. Dr. Ozbek holds a Ph.D. in Interdisciplinary Engineering (2012) and MS degrees in Engineering Management (1997) and Computer Systems Engineering (2004), all from Northeastern University, alongside a BS in Mechanical Engineering from Yildiz Technical University (1994). Research Interests : Machine learning, deep learning, neural networks, big data systems, web technologies, and information security. His work spans brain-computer interfaces, distributed applications, and manufacturing optimization strategies. Education : PhD (2012): Interdisciplinary Engineering, Northeastern MS (2004): Computer Systems Engineering, Northeastern MS (1997): Engineering Management, Northeastern BS (1994): Mechanical Engineering, Yildiz Technical University Publications focus on real-time brain interfaces using Hadoop, Q-learning for manufacturing maintenance, and big data applications. His 2017 Martin W. Essigman Outstanding Teaching Award reflects his dedication to pedagogy. Awards : 2017 Martin W. Essigman Outstanding Teaching Award Teaching : Courses include Web Programming, Database Design, Algorithms, and Big Data Systems. His work bridges industry practice and academic rigor.

Roberto Sabatiniمشاهده پروفایل

استاد

• Aeronautics and Astronautics
• Aerospace Systems
• Avionics Systems
• +۷ مورد دیگر

Roberto Sabatini is an Honorary Professor at RMIT University's School of Engineering and a Professor of Aeronautics and Astronautics at Khalifa University (UAE). He holds adjunct roles at multiple institutions, including RMIT's Sir Lawrence Wackett Defence and Aerospace Centre and Chosun University in South Korea. With three decades of experience, his research focuses on aerospace systems, autonomous systems, and AI-driven solutions for aviation and space sectors. His expertise spans avionics, space domain awareness, trusted autonomy, and sustainable aviation. He leads projects funded by governments and industry partners such as Thales and NASA. Notable contributions include innovations in UAS traffic management, GNSS systems, and space debris tracking. Prof. Sabatini has authored over 300 publications and is listed in Stanford's top 2% of cited scientists (2019–present). Awards include the 2021 Distinguished Leadership Award and Scientist of the Year (2019). He chairs Khalifa University's Aerospace Research Strategy Committee and serves on IEEE's Board of Governors. Key Collaborations : ICAO, NASA, UAE Space Agency, and Korea Aerospace Research Institute. Leadership Roles : IEEE AESS Avionics Systems Panel Chair (2021–2024), Vice President of Technical Operations (2024). Research interests emphasize cyber-physical systems, space traffic management, and AI applications. His work bridges academia and industry, addressing challenges in advanced air mobility and sustainable aerospace development.

Sonja Stuedliمشاهده پروفایل

پژوهشگر

• Smart Grid Operations
• Networked Systems
• Multi-Agent Systems
• +۳ مورد دیگر

Dr. Sonja Stuedli is a Research Academic at the School of Engineering, University of Newcastle, Australia. Her research focuses on smart grid operations, networked systems, multi-agent systems, and distributed control. She holds a PhD in Electrical Engineering from the University of Newcastle (2016), and degrees from ETH Zurich (BSc Electrical Engineering and Computer Science, 2008; MSc Mechanical Engineering, 2011). Her work emphasizes scalable control algorithms for multi-agent networks, wind energy systems, and resilience in networked systems. She has contributed to over 30 peer-reviewed publications and co-authored a book on electric vehicle networks. Dr. Stuedli leads the Robustness, Resilience and Security of Networked Dynamic Systems grant (2019–2021), focusing on enhancing system reliability through advanced control techniques. Her recent publications highlight advancements in consensus networks, plug-and-play systems, and wind turbine stability. She has supervised one PhD student and collaborates with experts in control theory and renewable energy.

Klaus Fischerمشاهده پروفایل

استاد

• Railway Safety Engineering
• Reliability Theory
• Maintenance Theory
• +۱ مورد دیگر

Klaus Fischer was a Professor at TU Dresden's Friedrich List Faculty of Transport and Traffic Sciences, specializing in railway safety and reliability engineering. His career began at the Institute for Railway Safety Engineering, where he advanced to lecturer (1965) and professor (1971–1992). He authored foundational texts on safety protocols and Markov reliability models, emphasizing transportation quality and risk management. His work addressed operational impacts of safety disruptions and maintenance optimization. Fischer contributed to policy frameworks for service quality in transportation infrastructure and mentored engineering students in safety theory applications.

Regine Gerikeمشاهده پروفایل

استاد

• Transport Science
• Sustainable Urban Mobility
• Traffic Safety
• +۵ مورد دیگر

Prof. Regine Gerike serves as the Dean of the Friedrich List Faculty of Transport and Traffic Sciences at Technische Universität Dresden, appointed in 2022 for a 2022–2025 term. Previously, she held roles as Vice Dean (2019–2022) and contributed to faculty leadership committees. Her academic focus centers on sustainable urban mobility, transport safety, and policy implementation. Key research areas include cycling infrastructure design, pedestrian safety in adverse conditions, and the socio-environmental impacts of transport systems. She emphasizes strengthening international collaboration, publication culture, and quality in transport engineering education. In research, Prof. Gerike addresses societal challenges like climate protection and road safety through interdisciplinary approaches. Her work spans global sustainability frameworks in urban planning, comparative studies across European cities, and innovative methodologies for mobility surveys. She leads efforts to align transport science with societal goals, prioritizing equitable and environmentally responsible solutions. Research Interests: Sustainable Urban Mobility, Cycling Safety, Transport Policy, Climate Change Mitigation, Pedestrian Infrastructure, Active Travel Promotion. Teaching: Focuses on enhancing transport engineering curricula and restructuring study programs to meet modern mobility demands. Her recent publications explore topics such as weighting methods for sustainability assessments, behavioral adaptations in cycling policies, and the translation of global sustainability visions into local planning. She is actively involved in national infrastructure initiatives like NFDI4Ing and chairs committees on research, teaching, and international affairs within her faculty. Prof. Gerike’s leadership aims to strengthen the faculty’s role in addressing urgent mobility challenges while maintaining academic excellence and international visibility.

Peter Kochمشاهده پروفایل

دانشیار

• Electronics
• Signal Processing
• Digital Filters
• +۳ مورد دیگر

Peter Koch is an Associate Professor at the Department of Electronic Systems, Aalborg University, affiliated with The Technical Faculty of IT and Design. His expertise spans Electronics, Signal Processing, and Software Defined Radio. He holds a PhD in Electronic Engineering (1996) and an MSc in Electronic Engineering (1989). Research focuses on digital filters, superconducting circuits, and embedded systems. Notable projects include SENSATION (self-sustaining computation systems) and GATOSS (air traffic optimization via satellite surveillance). He received the 2020 Teacher of the Year award at the Faculty of Engineering and Science. Key projects: 19 initiatives since 2001 Publications: 82 works, including 2025 Journal of Instrumentation study on superconducting circuits Active in IEEE and EURASIP conferences Advises 1 PhD student and contributes to interdisciplinary collaborations in superconductivity and AI-driven signal processing.