جستجوی استاد راهنمای دانشگاهی

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.

• Autonomous Systems
• Robotics
• Computer Vision
• +۵ مورد دیگر

Asanka Perera is a Lecturer in Mechatronic Engineering at the University of Southern Queensland. His research focuses on robotics, autonomous systems, computer vision, and adversarial learning. He is affiliated with the Centre for Agricultural Engineering and the Centre for Future Materials, and holds an ORCID ID: https://orcid.org/0000-0003-4021-3943. Education: BScEEEng, University of Peradeniya (2008) MScience Industrial Automation, Moratuwa University (2015) PhD, University of South Australia (2020) Professional Memberships: Engineers Australia, Australian Computer Society (ACS), IEEE, Australian Association of Uncrewed Systems (AAUS) His research interests span autonomous vehicles, field robotics, intelligent robotics, and computer vision applications. He has supervised doctoral and master's students on topics like swarm robot localization, adversarial machine learning, and biomedical robotics. His work includes developing algorithms for robust perception in autonomous systems and non-invasive medical monitoring using drones and thermal imaging. Key contributions include reviews on UAV-UGV collaboration, adversarial robustness in LiDAR systems, and biomimetic navigation techniques inspired by celestial orientation. His research bridges robotics, computer vision, and healthcare technologies, emphasizing real-world applications in autonomous systems and medical diagnostics.

Md Sultan Mahmudمشاهده پروفایل

استادیار

• Precision Agriculture
• Computer Vision
• Artificial Intelligence
• +۵ مورد دیگر

Md Sultan Mahmud is an Assistant Professor of Precision Crop Protection in the Department of Plant Pathology at the University of Georgia (UGA), with a courtesy faculty appointment in the School of Environmental, Civil, Agricultural, and Mechanical Engineering (College of Engineering). He holds a Ph.D. in Agricultural and Biological Engineering from Pennsylvania State University (2022), an M.Sc. in Agriculture (Engineering) from Dalhousie University (2019), and a B.Sc. in Agricultural Engineering from Hajee Mohammad Danesh Science and Technology University (2016). His research focuses on integrating computer vision, AI, robotics, and sensor technologies to develop precision solutions for plant disease and pest management. Key areas include smartphone applications, drone-based monitoring, early disease prediction models, and autonomous robotic systems for agricultural applications. He has received notable awards such as the Boyd-Scott Graduate Research Award (ASABE, 2022) and the Outstanding Dissertation Award from Penn State. Dr. Mahmud leads the Precision Crop Protection Laboratory and has secured grants from organizations like USDA NIFA, Southern SARE, and commodity boards. He actively publishes in journals like Sensors , Computers and Electronics in Agriculture , and AgriEngineering , with a focus on precision spraying systems, disease detection algorithms, and automation in crop production. Education: Ph.D., Agricultural and Biological Engineering, Penn State, 2022 M.Sc., Agriculture (Engineering), Dalhousie, 2019 B.Sc., Agricultural Engineering, Bangladesh, 2016 Research Themes: Computer vision for crop health monitoring AI-driven disease prediction models Autonomous robotic systems in agriculture Drone-based precision spraying Recent Grants: Optimizing Pecan Orchard Health via Drone Imagery (GA Commodity Board) Autonomous Laser-Based Weed Management (Southern SARE) UVC Light for Turfgrass Disease Control (USDA NIFA)

• Visualization
• Image Processing
• Fractal Geometry
• +۳ مورد دیگر

Martin Turner is a Business Relationship Manager for Research IT at the University of Manchester, specializing in e-Science and computational infrastructure. He also serves as an Honorary Lecturer in Computer Science. His roles include project management for UKRI grants and leadership in initiatives like the Harwell Imaging Partnership and the Scientific Computing Division at STFC. Research interests span visualization, image processing, and fractal geometry, with notable contributions including a book on Fractal Geometry in Digital Imaging and over 120 peer-reviewed publications. He has supervised 21 PhD/MPhil students and contributed to edited volumes such as Geographic Visualization: Concepts, Tools and Applications . Key awards include a short-term Fellowship with British Telecom. His work integrates real-world applications with cutting-edge imaging technologies, emphasizing collaboration and longitudinal research support. Projects involve visualization frameworks, tomography, and UAV-based computer vision applications. Advising focuses on MSc and PhD levels, while grants and collaborations address imaging science, geology, and computational methods. He leads teams in developing tools like the Core Imaging Library and SIRF framework, advancing tomographic and multi-channel imaging techniques.

• Artificial Intelligence
• Machine Learning
• Edge Computing
• +۷ مورد دیگر

Huan Liu is a Professor at Arizona State University's School of Computing, Informatics, and Decision Systems Engineering, with research spanning artificial intelligence, edge computing, and interdisciplinary applications. His work bridges theoretical advances with real-world implementations across healthcare, transportation, and environmental systems. His primary research interests include: Artificial Intelligence and Machine Learning for complex system optimization Edge-Cloud Computing architectures for IoT and vehicular networks Medical image analysis and clinical decision support systems Graph neural networks and multimodal learning Privacy-preserving federated learning frameworks Recent publications demonstrate strong emphasis on applied AI, with 15+ 2025 papers addressing UAV swarm intelligence, medical diagnostics, and sustainable transportation through novel algorithmic approaches. Publication trends reveal consistent leadership in: Developing efficient edge computing solutions for dynamic environments Creating medical AI tools with clinical validation Innovating in graph-based and multimodal learning Applying optimization techniques to logistics and environmental challenges His work frequently appears in top venues including IEEE Transactions, Bioinformatics, and AAAI.

• Neural Networks
• Medical Image Analysis
• Computer Vision
• +۵ مورد دیگر

Zhigang Li is a Professor in the Department of Computer Science at South China University of Technology's School of Computer Science and Engineering. His research spans multiple technical domains with significant contributions to neural networks, medical imaging, computer vision, and sensor technologies. Recent collaborations include work with Northwestern Polytechnical University, Hong Kong University of Science and Technology, and various medical research institutions. Dr. Li's research interests focus on neural network architectures, particularly small-world and feedforward networks for system modeling and medical applications. His work bridges computer science with practical applications in healthcare (EEG analysis, schizophrenia detection, liver transplant allocation), environmental monitoring (wastewater treatment), and engineering systems (CMOS image sensors, UAV networks). His research demonstrates strong interdisciplinary connections between theoretical computer science and real-world problem solving. Analysis of his recent publication trends shows increasing focus on medical applications of AI, with significant work in brain functional network analysis, depression recognition, and schizophrenia detection. His technical contributions include novel neural network architectures, efficient sensor systems, and advanced signal processing techniques. The publications reveal a consistent pattern of high-quality output in top-tier journals across multiple disciplines. Dr. Li has received recognition through publications in prestigious venues including IEEE Transactions, Medical Image Analysis, and Expert Systems with Applications, though specific awards aren't documented in the provided bibliography. His work demonstrates significant impact across multiple fields, particularly in applying computational methods to healthcare challenges. His research program includes collaborations with medical researchers for brain imaging applications, electrical engineers for sensor development, and computer scientists for network architecture design. Current projects appear focused on multi-view brain network analysis, energy-efficient sensor systems, and medical AI applications with potential clinical impact.

Scott Lamoureuxمشاهده پروفایل

استاد مدعو

• Physical Geography
• Hydrology
• Geomorphology
• +۵ مورد دیگر

Scott Lamoureux is an Adjunct Professor in the Department of Geography and Planning at Queen's University, affiliated with the Faculty of Arts and Science. He holds a PhD in Geomorphology and Sedimentology from the University of Alberta (1998), an M.S. in Climatology and Paleoclimatology from the University of Massachusetts Amherst (1994), and a B.Sc. (Honours) in Physical Geography from the University of Alberta (1990). His research focuses on physical geography, emphasizing hydrology, geomorphology, limnology, and climatology, with a particular emphasis on Arctic environments. He has conducted over 25 years of fieldwork in the Arctic, studying permafrost dynamics, climate impacts on surface waters, and landscape evolution. His work integrates field data, laboratory analyses, and modeling to understand how climate change alters Arctic landscapes and ecosystems. Dr. Lamoureux is also Associate Head (Undergraduate Programs) in the Department of Geography and Planning and holds cross-appointments with the Beaty Water Research Centre at Queen's University. His teaching includes courses such as GPHY 102, 209, 215, 304, and a graduate seminar on northern processes (GPHY 824). He actively involves students in research projects and fieldwork, emphasizing experiential learning. His research group employs innovative techniques like geophysical surveys, UAV mapping, and subsurface characterization to study Arctic systems. Key research themes include permafrost thaw impacts on hydrology, climate-driven limnological changes, and the role of summer rainfall in Arctic terrestrial-aquatic connectivity. He collaborates with northern communities and institutions, such as the Northwest Territories Thermokarst Mapping Collective. His work has advanced understanding of Arctic climate resilience and infrastructure vulnerability, with applications for environmental management and policy.

• 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) .

• Cybersecurity
• Educational Technology
• Biometric Systems
• +۵ مورد دیگر

Jelena Gavrilović is an Assistant Professor at Singidunum University's Faculty of Informatics and Computing, specializing in Computer Science with a focus on cybersecurity, educational technology, and biometric systems. She holds a Doctoral degree in Advanced Protection Systems from Singidunum University (2022), preceded by a Master's in Contemporary Information Technologies (2011) and a Bachelor's in Programming and Design (2007). Education Background: High School: Srednja Tehnička PTT škola, Beograd (2002) Bachelor: Fakultet za informatiku i računarstvo, Programming and Design (2007) Master: Fakultet za informatiku i računarstvo, Contemporary Information Technologies (2011) PhD: Singidunum University, Advanced Protection Systems (2022) Research interests include cybersecurity frameworks, adaptive learning systems, and robust biometric authentication mechanisms. Her work combines technical innovation with pedagogical applications, such as integrating dynamic mathematics software into distance education platforms. Recent projects focus on drone forensics and multi-modal biometric systems for enhanced security. Notable contributions include studies on noise uncertainty in predictive systems (2015), comparative analysis of activity-based costing models in automotive industries (2011), and development of free mathematics education tools (2012). Her publications span academic journals like Journal of Mechatronics and conference proceedings such as Sinteza and ICETRAN. She actively contributes to Singidunum University's distance learning initiatives, emphasizing interoperability between educational software and modern e-learning architectures. Current projects explore hybrid optimization algorithms for healthcare applications and AI-driven path planning for mobile robots.

• Machine Learning
• Artificial Intelligence
• Vehicular Communication
• +۴ مورد دیگر

Cristofer Englund is the Dean of the School of Information Technology at Halmstad University and holds a professorship in Information Technology. He earned his PhD in Electrical Engineering in 2007. His teaching focuses on supervising bachelor and master’s theses in machine learning and artificial intelligence (AI), with students receiving awards such as Wimanska priset (2019) and the SAIS Master Thesis Award (2017, 2021). His research spans machine learning applications in emotion/posture recognition, behavior prediction, anonymization, and vehicular communication for traffic safety and automated driving. He currently supervises Felix Rosberg (Engage Studios) on image/video anonymization and Maytheewat Aramrattana (VTI) on connected transportation safety analysis. Research interests include AI ethics, safety-critical systems, and smart city technologies. Recent work emphasizes de-identification systems, drone detection, and federated learning in automotive ecosystems. His articles analyze AI applications in urban infrastructure, cybersecurity for anonymization, and real-time drone surveillance. Notable student awards include grants for Felix Rosberg’s work on anonymization defense mechanisms and Maytheewat’s contributions to traffic safety modeling. Englund collaborates with industry partners like Engage Studios and VTI, integrating academic research with real-world challenges. His work bridges theoretical advancements in machine learning with practical implementations in transportation, cybersecurity, and urban planning.

Saman Zonouzمشاهده پروفایل

دانشیار

• Cyber-Physical Systems Security
• Critical Infrastructure Protection
• Embedded Systems Security
• +۷ مورد دیگر

Saman Zonouz is an Associate Professor at Georgia Institute of Technology with joint appointments in the School of Electrical and Computer Engineering and the School of Cybersecurity and Privacy. He joined Georgia Tech in 2022 after prior roles at Rutgers University and the University of Miami. His research focuses on cybersecurity and privacy in cyber-physical systems, particularly critical infrastructures such as power grids and industrial control systems. Zonouz holds a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign (2011) and a B.Sc. from Sharif Institute of Technology (2006). His work bridges theoretical computer science with practical engineering challenges, emphasizing resilience, attack detection, and physical-layer security. His research interests include attack detection in cyber-physical systems, embedded systems security, side-channel attacks, and resilient distributed control strategies. Recent trends in his publications highlight advancements in hardware implant detection, stealthy supply chain attacks, and cross-domain resilience frameworks for modern power systems. Zonouz has received prestigious awards including the Presidential Early Career Award for Scientists and Engineers (PECASE), NSF CAREER Award, and NSA Significant Research Recognition. His work often involves collaborations with industry and government agencies to address real-world cybersecurity challenges. He has led projects funded by NSF, AFOSR, and Google, focusing on topics like trustworthy additive manufacturing, privacy-preserving IoT systems, and cyber-informed engineering education. His lab develops tools such as OpenConduit for power system simulation and Guide-Guard for bioengineering applications.

Luis Mejias Alvarezمشاهده پروفایل

دانشیار

• Unmanned Aerial Systems (UAS)
• Computer Vision
• Collision Avoidance
• +۵ مورد دیگر

Luis Mejias Alvarez is an Associate Professor and Researcher in the School of Electrical Engineering & Robotics at Queensland University of Technology (QUT). He specializes in Unmanned Aerial Systems (UAS), focusing on vision-based guidance, collision avoidance, and autonomous navigation technologies. His work integrates computer vision, sensor fusion, and control systems to advance UAV applications in aerospace and robotics. Education: Electronic Engineer (UNEXPO, Venezuela, 1999) MSc in Networks and Telecommunication Systems (Universidad Politécnica de Madrid, 2001) PhD in Robotics and Automation (Universidad Politécnica de Madrid) Research Interests: His research spans Unmanned Aerial Systems (UAS), including autonomous helicopters, vision-based navigation, collision avoidance, and forced landing technologies. He develops algorithms for computer vision, sensor fusion, and control systems, with applications in aerospace engineering and artificial intelligence. His work aims to enhance UAV safety and autonomy in complex environments. Awards & Fellowships: 2017 Endeavour Executive Fellowship Visiting Professorships at Université de Bretagne Occidentale (2017) and UTIS (2017) Editor of Springer Tracts in Advanced Robotics (2016) Keynote Speaker at CIIMA 2014 Program Chair for UAS Conferences (2013) DECRA Fellowship (2012–2015) IRSES Grant (2009) Advising & Grants: Supervised PhD/Masters students in areas like vision-based collision avoidance and UAV navigation. Key grants include ARC DECRA and international IRSES collaboration with European institutions. Labs & Collaborations: Active in QUT’s Centre for Robotics and the Australian Research Centre for Aerospace Automation. Collaborates globally on projects like drone ship landing under adverse conditions and beyond-line-of-sight navigation.

Dimitrios D. Piromalisمشاهده پروفایل

دانشیار

• Electronic Embedded Systems
• Autonomous Vehicles
• Internet of Things (IoT)
• +۷ مورد دیگر

Dimitrios D. Piromalis is an Associate Professor at the University of West Attica , specifically within the Department of Industrial Design and Production Engineering . He leads the Research Lab of Electronic Automation, Telematics and Cyber-Physical Systems (EATCPS) , focusing on electronic embedded systems for applications in autonomous vehicles, IoT, and cyber-physical systems. With over 120 publications and extensive industry collaboration spanning 25 years, his work bridges academic research and practical engineering solutions. Education : BSc, MSc, and PhD in Electrical and Electronics Engineering. Research Focus : Electronic embedded systems, autonomous vehicles, IoT, cyber-physical systems, digital twins, 3D/4D printing, energy management, and smart agriculture. Recent publications highlight trends in TinyML for smart cities, predictive maintenance integration, hybrid energy storage for EVs, and digital twin applications across agriculture and automotive sectors. His work also extends to emergency communication systems, biomedical sensors, and blockchain-enabled energy gateways. Industry Collaboration : Field Application Engineer and Technical Consultant for multinational semiconductor companies. Teaching : Platforms for AI and Python programming, autonomous vehicles and drones.

• Archaeological remote sensing
• Cultural Heritage Management
• Environmental monitoring
• +۷ مورد دیگر

Ole Risbøl is an Associate Professor at the Department of Archaeology and Cultural History, NTNU University Museum. His work focuses on archaeological remote sensing, cultural heritage management, and environmental monitoring. He specializes in lidar technology, outfield archaeology, and tar production studies. Risbøl leads the TEMAR research group, emphasizing methodological innovation in archaeological surveying. Education: Extensive academic background in archaeology, though specific degrees are not detailed here. His research integrates cutting-edge technologies like airborne laser scanning and UAV LiDAR to explore landscapes in Norway and southern South America. Key projects include coastal archaeology in Tierra del Fuego and medieval urban studies in Trøndelag. Risbøl has pioneered studies on bog iron production and pre-industrial technology in Norwegian forests. Recent articles highlight advancements in remote sensing applications, including lidar's role in uncovering hidden archaeological sites and analyzing environmental impacts. Collaborations span institutions in Norway, Argentina, and beyond. Risbøl advises on cultural heritage management policies and leads projects like the DYLAN initiative, focusing on sustainable forest practices and heritage preservation. He actively engages in public outreach through articles in Spor and Heimen , bridging academic research and community engagement.

Jorge L. Salazar-Cerrenoمشاهده پروفایل

دانشیار

• High-performance dual-polarized antenna elements
• Broadband array antennas
• EM modeling and material characterization
• +۱۱ مورد دیگر

Jorge L. Salazar-Cerreno is an Associate Professor at the School of Electrical and Computer Engineering , University of Oklahoma , and a key member of the Advanced Radar Research Center (ARRC) and PAARD . His work bridges antenna design , phased array radar systems , and atmospheric research . Education: Ph.D. in Electrical and Computer Engineering (2012), University of Massachusetts Amherst Research Interests focus on dual-polarized phased arrays, mmWave and sub-terahertz antennas, radome modeling, and UAV-based radar calibration. His innovations aim to enhance scanning performance, reduce costs, and improve weather observation accuracy in challenging terrains. Article Trends highlight advancements in UAV metrology , real-time calibration , and rapid-scan imaging radars , particularly for storm analysis and atmospheric sensing. Key themes include wideband antenna design , array diagnostics , and material characterization . Scientific Awards NCAR Advanced Study Program postdoctoral fellowship Grants include a $3.01 million NSF award (2023) for developing a C-band mobile polarimetric imaging radar to improve severe weather warnings. Labs & Teams : Leads the Radar Innovations Lab , contributing to next-generation weather radar systems like Horus and PAIR .