جستجوی استاد راهنمای دانشگاهی

James Hopgoodمشاهده پروفایل

استاد

• Statistical Signal Processing
• Machine Learning
• Data Science
• +۵ مورد دیگر

James Hopgood is a Professor of Statistical Signal Processing at the University of Edinburgh's School of Engineering, leading the Institute for Data, Imaging, and Communications. He holds roles as Dean of Quality and Enhancement for the College of Science and Engineering and Director of the EPSRC/MoD CDT in Sensing, Processing & AI for Defence and Security (SPADS). His research focuses on statistical signal processing applications in medical imaging, acoustic sensing, and multi-target tracking. Hopgood earned his M.A., M.Eng., and Ph.D. from the University of Cambridge, joining Edinburgh in 2004. He has developed algorithms for Bayesian signal processing, acoustic source localization, and medical imaging, with over 100 publications. As Editor-in-Chief of the IET Journal of Signal Processing since 2011, he contributes to academic leadership. Teaching includes courses on signal processing, probability, and sensor networks, emphasizing visualization and real-world applications. Current projects span adaptive optical imaging for medical diagnostics and probabilistic graphical models for multi-target tracking. His work bridges academia and industry, collaborating with companies like Leonardo and Agilent Technologies. He supervises numerous PhD students and leads multidisciplinary initiatives in defense, healthcare, and autonomous systems. **Education**: PhD in Statistical Signal Processing, University of Cambridge (2001) MEng in Electrical and Information Sciences, University of Cambridge (1997) MA, University of Cambridge (2000) **Research Interests**: His work spans model-based Bayesian methods, acoustic source localization, medical imaging (e.g., fluorescence lifetime imaging), and multi-target tracking. Recent projects include optimizing UAV trajectories in dynamic environments and developing algorithms for distributed sensor networks. **Grants & Collaborations**: Funded by EPSRC/MoD, GSK, and Leonardo, his projects address defense sensing, drug development, and clinical imaging. Collaborations include Firefinch (software/data science) and the UDRC Summer School. **Labs/Teams**: Leads the Acoustics and Audio Group and the SPADS CDT, fostering innovation in sensing and AI for defense/security applications.

Viet Quoc Phamمشاهده پروفایل

پژوهشگر

• Wireless Communications
• Unmanned Aerial Vehicles
• Radio Propagation
• +۲ مورد دیگر

Viet Quoc Pham is a Researcher at the Department of Information and Communication Technology, University of Agder (UiA), Norway, affiliated with the Centre for Integrated Emergency Management (CIEM) research group. His work focuses on wireless communication systems for crisis response scenarios. His research interests include: Wireless Communications infrastructure for emergency management Unmanned Aerial Vehicle (UAV) network deployment Radio propagation mapping and tomography Signal processing for localization systems Drone-based communication relay planning Publications from 2022-2024 reveal consistent contributions to aerial base station placement and radio map estimation, with empirical validation in real-world environments. His work bridges theoretical signal processing with practical emergency response applications, primarily published in IEEE Transactions and conference proceedings. As an active member of CIEM, Pham collaborates on integrated solutions for crisis management within UiA's research ecosystem.

• Computer Networking
• Telecommunications
• Internet of Things (IoT)
• +۷ مورد دیگر

Thomas Heide Clausen is a Professor at École Polytechnique (France) and leads its computer networking research group. He holds the Cisco Endowed Chair in 'Internet of Everything' and serves as Academic Director for the interdisciplinary Master's program 'IoT: Innovation and Management'. His work focuses on protocols and architectures for maintaining internet connectivity in dynamic environments, particularly through the development of the OLSR and LOADng routing protocols. Education: M.Sc. and PhD from Aalborg University (Denmark) Research: IoT networking, Smart Grid communication, wireless mesh networks, routing protocol design, network load balancing, and security in MANETs Recent Article Trends: Explored machine learning for load balancing (2022), zero-trust architectures (2023), and wireless optimization for IoT/SmarGrid (2016-2022) Scientific Awards: IEEE Senior Member (2016), IEEE Computer Society Distinguished Contributor (2021) Industrial Collaborations: Hitachi (Japan), Fujitsu (USA), Toyota (Japan), Cisco (USA/France), EDF (France), and others

• Optical Networking
• Wireless Communications
• Vehicular Networks
• +۷ مورد دیگر

Dr. Wissam Fawaz is a professor-level academic with extensive contributions to optical networking, vehicular communication systems, and UAV-aided network solutions. His work spans over two decades, focusing on Quality of Service optimization , Free Space Optical (FSO) communications , and Mobile Edge Computing (MEC) . Key collaborations with Chadi Abou-Rjeily, Maurice Khabbaz, and Ken Chen Published in IEEE Transactions on Wireless Communications , IEEE Communications Magazine , and Computer Networks Research interests center on network reliability , resource allocation , and next-generation communication architectures . His work explores: UAV-based network repair mechanisms QoS differentiation in optical and vehicular networks Machine learning integration for MEC task offloading Buffer-aided cooperative FSO systems Recent publications (2022) demonstrate innovations in: Acoustic synchronization protocols D2D-enabled Het-MEC systems Lyapunov-optimized resource allocation

• Wireless Networks
• Vehicular Communications
• Network Coding
• +۷ مورد دیگر

Qingyang Song is a professor in the field of Computer Science and Engineering, focusing on wireless networks and vehicular communications. His research spans topics such as network selection, resource allocation, and fault-tolerant routing mechanisms across heterogeneous systems, including UMTS, wireless LAN, and vehicular networks. While his institutional affiliations are not explicitly stated in the provided text, his collaborative work with researchers like A. Jamalipour and Lei Guo highlights his contributions to next-generation network optimization. His research interests include Network Coding , Software Defined Networking (SDN) , 5G Systems , and Energy Efficiency . He has pioneered techniques to balance user preferences with network conditions, reducing handoffs and improving connectivity. Recent work explores UAV-assisted networks, quantum-inspired reinforcement learning for wireless VR, and secrecy rate optimization in IRS-aided SWIPT systems. Qingyang Song's publications reflect a strong emphasis on Engineering and Computer Science disciplines, particularly in vehicular communications, spectrum sharing, and hybrid routing frameworks. His work has been featured in IEEE journals and conferences, including IEEE Transactions on Vehicular Technology and IEEE Wireless Communications .

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۷ مورد دیگر

Mehmet Keskinöz is a Professor in the Department of Computer Engineering at Istanbul Technical University, Faculty of Computer and Informatics. He holds a PhD and MS from Carnegie Mellon University and a BS from Boğaziçi University in Electrical and Electronics Engineering. His academic journey includes faculty positions at Sabancı University and a research role at Carnegie Mellon. PhD, Carnegie Mellon University MS, Carnegie Mellon University BS, Boğaziçi University, Electrical and Electronics Engineering His research focuses on Artificial Intelligence, Machine Learning, Data Mining, and Wireless Sensor Networks . He has made significant contributions to distributed detection, semantic segmentation, and large language models for software engineering tasks. His work often integrates belief functions and network coding for robust system design. Recent publications highlight trends in AI-driven applications such as semantic segmentation using recursive context networks, automatic test generation via large language models, and behavioral biometrics for continuous authentication. His earlier work centered on optical storage and sensor network optimization. He has been actively involved in national research evaluation, serving on panels for TÜBİTAK, TTGV, and the Ministry of Science and Technology. He is an IEEE member since 1998. IEEE Member (1998–Present) Project Evaluation Panelist, TÜBİTAK Advisory Board Member, Ministry of Science, Industry, and Technology He has supervised several students (8 supervised works listed) and contributed to research grants through national and institutional collaborations. His administrative roles include Rector Advisor and Erasmus Coordinator at ITU. He leads research in intelligent systems and sensor networks, with ongoing work in AI applications for software engineering and cybersecurity. His lab activities likely involve machine learning, network coding, and biometric systems, though specific lab names are not mentioned.

Ramesh C. Bansalمشاهده پروفایل

استاد

• Cardiology
• Internal Medicine
• Echocardiography
• +۱۲ مورد دیگر

Ramesh C. Bansal is a Professor in the Cardiology Division of the School of Medicine. His academic and clinical work centers on cardiology, with a focus on echocardiography, coronary artery disease, and aortic dissection. Despite his medical appointment, a significant portion of his recent research output is in electrical engineering domains such as smart grids, renewable energy, microgrids, and power electronics, suggesting either interdisciplinary work or a data attribution anomaly. Education: MBBS, All India Institute of Physical Medicine & Rehabilitation, 1972 His research interests span both cardiology and energy systems. In cardiology, he has investigated left and right ventricular function in valvular disease and coronary anomalies. In engineering, his work includes optimization of PV systems, microgrid coordination, electric vehicle integration, and AI-based fault detection. This dual focus is highly unusual for a single academic and may indicate a name conflict. The recent publications (2024–2025) are predominantly in energy systems, focusing on optimization, smart grids, and renewable integration. Despite the medical appointment, the volume and technical depth of engineering work suggest a primary identity in power systems engineering, raising questions about data accuracy. No scientific awards are listed in the provided text. Dr. Bansal has served as Principal Investigator (PI) and co-investigator on multiple research projects, including studies on echocardiography contrast agents, pacemaker therapy, and non-invasive hemodynamic monitoring. Grants include industry-sponsored trials and internal observational studies, primarily in cardiology. No information is available on student advising or mentorship. There is no mention of specific laboratories, research teams, or collaborative groups in the text.

Muhammad Salman Bashirمشاهده پروفایل

مدرس

• Signal Processing
• Information Theory
• Optimization Theory
• +۳ مورد دیگر

Muhammad Salman Bashir is a Lecturer in Electrical and Electronic Engineering at the School of Computing and Engineering, University of Huddersfield. He holds a Ph.D. and M.S. in Electrical and Computer Engineering from Purdue University. His research focuses on applying signal processing, information theory, and optimization theory to optical wireless communication, aerial communication systems (UAVs, HAPs, satellites), and target tracking. He has published extensively on topics like UAV relay optimization, LiDAR-assisted acquisition, and beam tracking in turbulent environments. Recent publications highlight his work on trajectory optimization for UAVs, photodetector design, and energy-efficient solutions for non-terrestrial communication networks. He is a Senior Member of IEEE and received the International Fulbright Science and Technology Award for his graduate studies. Key scientific contributions include advancements in free-space optical communication, angle-of-arrival estimation, and GPS-denied navigation techniques. He serves as an Associate Editor for IEEE Communication Letters and collaborates with institutions like Purdue University and King Abdullah University of Science and Technology.

Leonardo MACCARIمشاهده پروفایل

دانشیار

• Network Security
• Wireless Mesh Networks
• Community Networks
• +۵ مورد دیگر

Leonardo Maccari is an Associate Professor at Ca' Foscari University of Venice in the Department of Environmental Sciences, Computer Science and Statistics. His research focuses on network security, wireless mesh networks, community networks, and next-generation wireless backhaul systems. He leads projects like netCommons (EU Horizon2020) and OR2AN2G, advancing scalable and resilient network infrastructures. Notable contributions include centrality-based routing protocols (pop-routing) and analysis of digital contact tracing during the pandemic. Teaching includes courses on Network Security, Computer Networks, and Lab of Computer Security across Computer Science and Data Management programs. Awards include the 2024 Best Paper Award at CNMS for optimizing BGP convergence. Research spans 20+ years with 50+ peer-reviewed publications. Collaborations include Northeastern University, BarcelonaTech, and CNRS. Active in open-source projects like Augustus (programmable CCN router) and NePA TesT (network testing toolchain). Key projects: netCommons (transdisciplinary community networks), OR2AN2G (5G/6G backhaul), and PAF-FPE (Marie Curie security research). Consultancies with Alcatel-Lucent and Telecom Italia Lab produced patents in network security and programmable systems.

• Telecommunications
• Wireless and Mobile Communication Systems
• 5G and Beyond Networks
• +۱۲ مورد دیگر

Américo Manuel Carapeto Correia is a Full Professor and Deputy Director at the Department of Information Science and Technology (ISTA), ISCTE – Instituto Universitário de Lisboa. He is also an Integrated Researcher at the Institute of Telecommunications - IUL, affiliated with the Radio Systems Group. His academic leadership includes serving as Director of ISTA (2010–2013, 2020), and multiple roles in academic governance such as member and Vice President of the Scientific Council. PhD in Electrical Engineering, Higher Technical Institute - UTL (1994) Master’s in Electrical and Computer Engineering, Higher Technical Institute - UTL (1990) Bachelor’s in Electrical Engineering, Faculty of Engineering - Angola (1983) Aggregation in Information Sciences and Technologies, ISCTE (2006) His research focuses on telecommunications and mobile networks, particularly 5G, LTE-Advanced, femtocells, machine-type communications, and energy-efficient network design. His work bridges theoretical innovation with practical implementation in areas like agriculture (SMARTFARM4.0), aerial surveillance (SAAS), and multimedia services (COILS, C-MOBILE). The recent articles supervised reflect a strong trend toward 5G private network planning across diverse sectors including healthcare, energy, transportation, and government. Emerging topics include Reconfigurable Intelligent Surfaces (RIS) for 6G and AI-driven robotics in healthcare, indicating forward-looking research aligned with next-generation wireless systems. He has led multiple research projects funded by national and international consortia, including: SMARTFARM4.0 (2020–2023): Smart agriculture solutions SAMEQoE (2017–2019): Quality of Experience optimization in mobile networks VELOCE-MTC (2016–2018): Low-latency machine-type communications ADIN (2013–2015): Infrastructure-less wireless networks NEUF (2012–2014): LTE-Advanced with femtocells SAAS (2012–2014): UAV control via terrestrial networks Américo Correia has advised 36 master’s students and 3 doctoral candidates, demonstrating a strong commitment to academic mentorship. He teaches core courses such as Wireless and Mobile Communication Systems, Advanced Mobile Communication Systems, and Research Methods at both master’s and PhD levels. He leads the PhD course on Management of Research Projects, emphasizing research leadership and innovation. His lab affiliations include the Radio Systems Group at IT-Iscte, a key hub for wireless systems research in Portugal.

Muhammed Ali Bingolمشاهده پروفایل

مدرس ارشد

• Cryptography
• Information Security
• Blockchain & Cryptocurrencies
• +۹ مورد دیگر

Dr. Muhammed Ali Bingol is a Senior Lecturer in Cyber Security and Programme Leader for the BSc in Computer Networks and Security at De Montfort University, UK, within the School of Computer Science and Informatics, Faculty of Computing, Engineering and Media. He is affiliated with the Cyber Technology Innovations and Digital Future Institute research groups. Education: Ph.D. in Computer Science and Engineering, Sabanci University, 2019 M.Sc. in Electronics and Communication Engineering, Istanbul Technical University, 2012 B.Sc. in Telecommunications Engineering, Istanbul Technical University, 2008 His research focuses on cryptography , information security , blockchain , secure multi-party computation , private function evaluation , authentication systems , and e-voting . He has contributed significantly to RFID security, distance-bounding protocols, and cryptographic protocol design. His work bridges theoretical cryptography and practical security implementations in wireless, cloud, and mobile environments. His recent publications (2022–2025) span topics from flexible threshold signatures and homomorphic encryption to blockchain-based voting and pedestrian safety analysis , indicating an interdisciplinary reach while maintaining a core in cryptographic protocol development. Trends show increasing focus on blockchain integration, privacy-preserving technologies, and real-world security applications. Scientific Awards and Memberships: Fellowship of the Higher Education Academy (FHEA) Member, Institute of Electrical and Electronics Engineers (IEEE) Cisco Networking Academy (CNA) Dr. Bingol has advised on multiple EU, public, and government cybersecurity projects and has served as a visiting scientist at Université Catholique de Louvain and a visiting lecturer at Istanbul City University. He has held industrial research roles at TÜBİTAK BİLGEM (Chief Researcher, 2008–2020), TSSG, and AOL. He leads curriculum development for undergraduate cybersecurity programs and teaches courses in cryptography, networks, malware analysis, and security management. He is actively involved in the Cyber Technology Innovations research group, where he contributes to advancing secure communication protocols, blockchain applications, and privacy-preserving technologies.

• Wireless Communications
• Optical Wireless Communications
• Free Space Optics
• +۴ مورد دیگر

Горан Т. Ђорђевић је редовни професор на Електронском факултету Универзитета у Нишу од 2016. године, са академском каријером која почиње докторатом из телекомуникација 2005. године. Припада Катедри за телекомуникације, где води истраживачке активности у оквиру истраживачке групе за оптичке безжичне комуникације. Његова образовна позадина укључује: Докторат из телекомуникација (2005, Електронски факултет Ниш) Магистратуру из телекомуникација (1999, Електронски факултет Ниш) Диплому из електронике и телекомуникација (1996, Електронски факултет Ниш) Његова истраживања су фокусирана на безжичне комуникације , оптичке безжичне системе (FSO) и хибридне RF/FSO мреже . Посебну пажњу посвећује анализи перформанси у условима атмосферске турбуленције, кооперативном релајингу и адаптивним техникама модулације. Његов рад решава критичне изазове у поузданости комуникација у екстремним каналским условима, са применом у 5G/6G технологијама и сателитским комуникацијама. Анализа његових најновијих публикација (2015-2023) показује конзистентан фокус на FSO системе и хибридне архитектуре, са значајним доприносом у области вероватноће ишчезавања (outage probability) и грешака у фединг каналима. Објавио је преко 50 радова у IEEE часописима са високим Impact фактором, укључујући IEEE Transactions on Wireless Communications и IEEE Journal on Selected Areas in Communications. Његове научне награде укључују: Награду на 49. конференцији ЕТРАН (2005) за најбољи рад младих истраживача Награду на 51. конференцији ЕТРАН (2007) за најбољи рад младих истраживача Награду Теленор фондације 'Проф. др Илија Стојановић' за допринос у телекомуникацијама (2007) Награду Теленор фондације за најбољи стручни рад у међународним часописима (2015) Као ментор, водио је шест докторских дисертација и преко 50 дипломских радова. Тренутно је укључен у један национални и два интернационална пројекта, укључујући FP7 FET OPEN пројекат i-RISC и COST акције OPTICWISE, EUIMWP и NEWFOCUS. Води пројекат иновирања наставе финансиран од Министарства и ERASMUS+ пројекат ICT_EDUPAND. Као рецензент и гостујући уредник, значајно доприноси научној заједници кроз сарадњу са IEEE часописима и Applied Sciences. Води истраживачки тим на Електронском факултету у оквиру пројеката i-RISC и NORBAS, са посебним фокусом на развој FSO система и кооперативних мрежа. Његова лабораторијска истраживања укључују експерименталну верификацију теоријских модела под реалним условима атмосферске турбуленције.

Constantine Mukasaمشاهده پروفایل

استاد آموزشی

• Engineering Education
• Diverse and Inclusive Learning Environments
• Wireless Communications
• +۳ مورد دیگر

Constantine Mukasa is an Associate Teaching Professor in the First Year Engineering Program at the College of Engineering, Northeastern University. His office is located at 368E Snell Engineering Center (SN), 360 Huntington Avenue, Boston, MA 02115. He is actively involved in initiatives to enhance engineering education through collaborative and inclusive learning environments. His research interests span both engineering education and wireless communications. In education, he focuses on fostering student engagement and diversity in early engineering curricula. In technical domains, his work addresses stochastic modeling of wireless networks, interference analysis, and cognitive radio systems. In 2020, he contributed to College of Engineering (COE) presentations at the ASEE Virtual National Conference, highlighting his involvement in advancing educational and technical scholarship. His publications analyze network performance under diverse fading conditions and interference scenarios, reflecting expertise in signal processing and communication theory. No specific grants or advisees are listed, but his programmatic role suggests significant contributions to undergraduate curriculum development and student mentorship. No dedicated labs or teams are explicitly mentioned in the provided information.

Caroline Frauمشاهده پروفایل

مدرس

• Political Sociology
• Sociology of Professions
• Trade Unionism
• +۵ مورد دیگر

Caroline Frau is a Lecturer in Political Science at Lumière Lyon-2 University and a member of the Triangle Laboratory since 2014. She holds a Doctorate in Political Science from the University of Paris 1, with her thesis focusing on the political sociology of tobacconists' professional groups. Her research interests include the sociology of professions, trade unionism, labor disputes, public health policy, and the role of intermediate actors in public action. She has co-organized numerous academic events, including seminars on public action and political sociology, and contributed to research projects like the ANR Mondex and the French employer space studies. Her work explores the intersections of professional groups with state policies, analyzing how actors navigate regulatory frameworks. Key publications include studies on family dynamics in small business leadership, anti-tax mobilizations, and the marginalized roles in public action. Frau has also co-edited volumes on professionalization and state interactions, and her contributions span academic journals in political science and sociology. Awards include her doctoral thesis' highest honors and proposed prizes. Her research bridges empirical studies with theoretical frameworks in political sociology, emphasizing practical and policy-relevant insights.

Holger Dobbekمشاهده پروفایل

استاد

• Enzymology
• X-ray crystallography
• Metalloenzymes
• +۷ مورد دیگر

Holger Dobbek is a Professor in the Department of Structural Biology/Biochemistry at the Institute of Biology, Humboldt-Universität zu Berlin. He has been a member of the Executive Board of UniCat (Unifying Concepts in Catalysis) since November 2010, highlighting his significant role in a major interdisciplinary research consortium. University: Humboldt-Universität zu Berlin School: Institut für Biologie Department: Strukturbiologie/Biochemie Position: Professor His primary research interests lie at the intersection of enzymology and structural biology. He investigates the mechanisms of metalloenzymes , with a particular focus on reductive CO/CO₂ metabolism in bacteria . His work delves into molybdoenzymes, iron-sulfur clusters, and flavoenzymes , exploring how oxidation state influences biological host-guest recognition. A central technique in his research is X-ray crystallography , which he uses to visualize the atomic details of enzyme mechanisms and their reactive intermediates. An analysis of his recent publications reveals a consistent focus on understanding the structure-function relationships in complex metalloenzymes. His work often employs a multidisciplinary approach , combining high-resolution structural data from crystallography with spectroscopic methods and biochemical assays. The articles cover a range of specific topics, including the catalytic mechanisms of carbon monoxide dehydrogenase, the dynamics of the photosystem II subunit PsbO, and the redox chemistry of molybdenum cofactors in formate dehydrogenase. This indicates a deep expertise in the structural enzymology of redox processes. While no specific awards are mentioned in the provided text, his sustained leadership role in UniCat and his publication record in high-impact journals are strong indicators of his scientific standing. His research has significant implications for understanding fundamental biological processes related to energy metabolism and has potential applications in environmental science and biotechnology. Professor Dobbek leads an active research group, as evidenced by his numerous collaborative publications with coworkers. His work is often conducted in collaboration with other leading scientists in the Berlin area, such as Athina Zouni and Peter Hildebrandt, forming a strong network in the field of bioenergetics and catalysis. His lab is equipped to handle the challenges of working with oxygen-sensitive metalloenzymes, a key aspect of his research on iron-sulfur and molybdenum-containing proteins.