جستجوی استاد راهنمای دانشگاهی

Mian Pan is an Associate Professor at Hangzhou Dianzi University. He holds a B.S. in Electronic Engineering (2007) and a Ph.D. in Signal Processing (2013) from Xi'dian University, Xi’an, China. His research focuses on machine learning, radar signal processing, pattern recognition, and audio/video/image processing algorithms. Education: Ph.D. in Engineering Sciences, 2013, Xi'dian University B.S. in Electronic Engineering, 2007, Xidian University Research Interests: Mian Pan explores advanced machine learning techniques for radar signal analysis, develops algorithms for pattern recognition in complex systems, and investigates efficient processing methods for audio, video, and image data. His work bridges theoretical foundations with practical applications in signal processing domains. Publications & Awards: No specific articles, grants, or awards are listed in the provided information. Advising & Labs: No student advisees, lab affiliations, or grant details are mentioned.

• Machine Learning
• Radar Signal Processing
• Pattern Recognition
• +۳ مورد دیگر

Panayiotis Kolios is an Assistant Professor at the Department of Computer Science, University of Cyprus. He holds a PhD and BEng in Telecommunications Engineering from King's College London. His research focuses on networked intelligent systems, including autonomous UAVs, cyber-physical systems, and AI-driven emergency management. Key roles include coordinating the KIOS CoE's security and emergency response group, developing the SafeCY emergency app, and leading the AIDERS project for real-time disaster response using drones and machine learning. Education: BEng (King's College London, 2008), PhD (King's College London, 2012) Affiliations: KIOS Research and Innovation Centre of Excellence, University of Cyprus Projects: AIDERS, SWIFTERS, PREDICATE (EU-funded), SafeCY app, Cyprus Civil Defence Aerial Observation Unit Grants: Over 40M€ in EU and industrial funding Research emphasizes AI algorithms for emergency response, including drone-based situational awareness, wildfire monitoring, and rogue UAV detection. He co-organized the Exchange of Experts training program and led the team that won the Cooperative Aerial Robots Inspection Challenge (CDC 2023). Notable Achievements: ETEK Engineering Award Honorable Mention (2021) First Prize in CDC 2023 Cooperative Aerial Robots Challenge Development of the Cyprus Civil Defence Aerial Observation Unit Active in both academic and applied research, Kolios bridges theoretical advancements with real-world emergency management solutions.

• Emergency Management
• Artificial Intelligence
• Autonomous Unmanned Aerial Systems
• +۳ مورد دیگر

Pouya Bolourchi is an Associate Professor in the Faculty of Engineering at Final University. He holds a Doctoral Degree in Electrical and Electronic Engineering from Eastern Mediterranean University (2018), a Master's Degree from the same institution (2012), and a Bachelor's Degree from Girne American University (2009). His research focuses on machine learning applications in biomedical engineering, optimization algorithms, medical imaging, and signal processing. Key research interests include Alzheimer's disease diagnosis through statistical methods, SAR (Synthetic Aperture Radar) image recognition using moment-based techniques, and industrial optimization problems leveraging swarm intelligence (e.g., particle swarm optimization). His work bridges computational methods with real-world applications in healthcare and engineering systems. Recent publications emphasize advancements in feature selection strategies, ensemble learning, and genetic algorithm implementations for medical diagnostics and industrial system reliability. Notable contributions include improving gene expression analysis via entropy-fisher score and developing novel approaches for Parkinson’s disease detection using biogeography-based optimization. His academic contributions span over 20 peer-reviewed articles, with a focus on interdisciplinary applications of machine learning in healthcare, remote sensing, and industrial engineering. Collaborations highlight the practical deployment of optimization algorithms in electrostatic precipitator systems and baghouse design.

• Machine Learning
• Biomedical Engineering
• Signal Processing
• +۳ مورد دیگر

Apostle Sarris is a Professor at the Department of History and Archaeology , University of Cyprus, specializing in the integration of Geoinformatics , Geophysical Prospection , and Digital Humanities into archaeological research. His work bridges remote sensing , GIS applications , and cultural heritage management to reconstruct ancient landscapes and analyze archaeological data. Education : Ph.D. in Physics (Geophysics) from University of Nebraska-Lincoln (1992), M.Sc. in Physics (Geophysics) from University of Nebraska-Lincoln (1990), and advanced degrees in Physics and Astronomy from Boston University (1988, 1985). His research focuses on non-invasive methods like Ground Penetrating Radar (GPR) , satellite imagery , and machine learning to map buried structures, assess environmental threats to heritage sites, and model cultural landscapes. Key projects include the STORM project for disaster risk management of cultural heritage and ARISTEIA-IGEAN-STORM for geophysical prospection in Thessaly. Recent publications highlight his work on European Neolithic settlements , Byzantine landscapes , and AI-driven GPR analysis . He supervises interdisciplinary Ph.D. and postdoctoral researchers across institutions in Cyprus, Greece, Italy, and Turkey, with projects spanning digital heritage , soil geochemistry , and sacred landscape studies . Selected grants include H2020-MSCA-IF-2016 for European frontiers research and ARISTEIA II-ANCIENT CITY for Neolithic landscape analysis.

• Digital Humanities
• Geoinformatics
• Archaeological Prospection
• +۷ مورد دیگر