جست‌وجوی استاد و پژوهشگر

• Peer-to-Peer Overlay Networks
• Home Automation
• IP Telephony
• +۳ مورد دیگر

Dr. Mario Kolberg is a Senior Lecturer in the Department of Computing Science at the University of Stirling. He holds a PhD from the University of Strathclyde and has held roles at institutions including Humboldt University in Berlin and the University of Strathclyde. His research focuses on Peer-to-Peer (P2P) overlay networks, Home Automation, and IP Telephony, with contributions to areas like distributed feature interaction management and network protocol optimization. Key roles include co-investigator in ESRC’s Interlife and MATCH projects, exploring P2P networks in virtual worlds and healthcare integration. He leads initiatives such as the Sysnet Knowledge Transfer Partnership, developing P2P overlays for mobile devices. Kolberg is an IEEE Senior Member and Series Editor for the IEEE Communications Magazine’s Consumer Communication and Networking series, previously serving as TPC Chair for IEEE CCNC 2011. His research spans P2P multicast, home automation systems, and network efficiency, with recent work addressing IoT protocols (e.g., 6TiSCH), mobile network optimization, and integrating social media data for transport prediction. Over 79 publications highlight his technical depth, including influential papers on feature interaction detection and hybrid multicast systems. Education: PhD in Computer Science from University of Strathclyde Key Projects: Interlife (P2P in 3D virtual education), MATCH (healthcare networks), Sysnet KTP (mobile P2P) Awards: IEEE Senior Member, Series Editor role His work bridges academia and industry, addressing real-world challenges in networking and distributed systems.

Xidong Muمشاهده پروفایل

استادیار

• 6G Networks
• Reconfigurable Intelligent Surfaces (STARS)
• Near-field Communications and Sensing (NFC/NISE)
• +۴ مورد دیگر

Xidong Mu is a Lecturer (Assistant Professor) at Queen's University Belfast's Centre for Wireless Innovation (CWI). He holds a PhD in Information and Communication Engineering from Beijing University of Posts and Telecommunications (2022). His research focuses on sustainable 6G networks, including Simultaneously Transmitting and Reflecting Surfaces (STARS), Near-field Communications/Sensing (NFC/NISE), and Mobile Edge Generation (MEG). He serves on editorial boards and technical committees like IEEE Transactions on Communications and IEEE ComSoc NGMA Initiative. Notable awards include the 2023 IEEE ComSoc Outstanding Young Researcher Award and 2024 Heinrich Hertz Award. Roles: Public Engagement Coordinator (IEEE ComSoc SPCC-TC), Secretary (IEEE NGMA Initiative) Key Labs: CWI, STAR Lab (Queen Mary University) Research interests emphasize advanced physical layer technologies, with over 140 publications. Current PhD supervision focuses on STARS, NFC, and NGMA.

• Big data
• Data science
• Data analytics
• +۱۲ مورد دیگر

Paolo Garza is an Associate Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin, where he also serves as Coordinator of the College of Computer, Film and Mechatronics Engineering. He is a member of the DBDM research group and the SmartData@PoliTO laboratory, and actively contributes to academic governance through roles in teaching coordination and PhD program committees. Education: Bachelor’s in Computer Engineering, Polytechnic University of Turin (2001) PhD in Computer and Systems Engineering, Polytechnic University of Turin (2005) His research centers on data science, big data analytics, data mining, and machine learning , with applications in emergency management, real-time communications, Earth observation, and cybersecurity. He has led and participated in numerous national and commercial research projects, including AI4CTI and NODES (PNRR), and has collaborated with industry partners like Cisco Systems. His work bridges theoretical algorithm development and practical deployment in critical systems. The recent publications reflect a strong trend toward multimodal AI, crisis informatics, and intelligent networking . Articles span computer vision for environmental monitoring (e.g., burned area detection, canopy estimation), ML for real-time communication quality, multimodal document understanding, and crisis response systems. His team leverages deep learning, transformers, and vision-language models across diverse domains. Scientific Service: Associate Editor, Knowledge and Information Systems (2024–) Associate Editor, Expert Systems with Applications (2022–) General Co-Chair, IEEE AICT Conferences (2022, 2023) He mentors several PhD students and leads funded research initiatives focused on AI for sustainable industry and cyber threat intelligence. His teaching includes graduate courses on big data processing, distributed architectures, and data science lab methods. He has also directed commercial training programs and research contracts in machine learning and cybersecurity. Research Labs & Teams: DBDM - Database and Data Mining Group (DAUIN) SmartData@PoliTO - Big Data and Data Science Laboratory LAB 5 - Research Laboratory (DAUIN)

• Thermodynamics
• Heat and Mass Transfer
• Fluid Dynamics
• +۱۵ مورد دیگر

Michele Trancossi is a Senior Lecturer in the ACES school at Sheffield Hallam University, United Kingdom, where he has been employed since November 2015. He holds a PhD in Industrial Engineering from the Università degli Studi di Modena e Reggio Emilia, Italy, awarded in 2009. He also serves as a Visiting Scientist at the Department of Electromechanical Engineering, Universidade da Beira Interior, Portugal, since 2019. PhD in Industrial Engineering, Università degli Studi di Modena e Reggio Emilia (2006–2009) His research focuses on thermodynamics, fluid dynamics, aerospace propulsion, and energy efficiency, with a particular emphasis on the Constructal Law, Bejan number, Coanda effect, and plasma actuators. He investigates applications in sustainable building design, UAVs, airships, and thermal management systems. His work integrates theoretical modeling with experimental validation, especially in heat transfer and fluid flow optimization. The recent publications of Michele Trancossi demonstrate a strong trend in applying second-law thermodynamics and exergy analysis to diverse engineering challenges, ranging from aerodynamics and propulsion to sustainable architecture and indoor climate control. His work frequently explores innovative configurations such as stair-shaped plasma actuators, container house energy systems, and high-altitude airships, often integrating renewable energy sources and Industry 4.0 principles. Member, American Physical Society (2020–present) Member, American Society of Mechanical Engineers – Heat Transfer Division (2009–present) Associate, Society of Automotive Engineers International – Aerospace and Automotive (2008–present) Member, ASTM International (2020–present) Michele Trancossi has led and contributed to numerous research projects on energy-efficient vehicle design, thermodynamic optimization, and advanced propulsion systems. His collaborations span institutions in Portugal, Italy, and the UK, involving interdisciplinary teams focused on aerospace, mechanical, and energy engineering. While specific grant details are not listed, his extensive publication output in high-impact journals and conferences indicates sustained research activity and funding support. He supervises research in thermal systems, fluid dynamics, and sustainable technologies, though no named students are listed in the provided data. He is actively involved in research teams working on the ACHEON propulsion system, Coanda effect applications, and energy self-sufficient vehicles. His work often involves computational fluid dynamics (CFD), experimental testing, and thermodynamic modeling in collaboration with international researchers such as J. Pascoa, G. Cannistraro, and A. Dumas.

Pardhasaradhi Bethiمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Deep Learning
• Signal Processing
• +۷ مورد دیگر

Pardhasaradhi Bethi is a Research Fellow at the Department of Information and Communication Technology , University of Agder , specializing in lightweight deep learning models for edge computing and radar signal processing. Focus areas include object classification, sound recognition, and drone surveillance Collaborates with colleagues like Linga Reddy Cenkeramaddi and Srihari Pathipati Research Interests encompass edge AI , radar-communication convergence , and real-time IoT integration . His work emphasizes optimizing neural networks for low-power devices and improving tracking frameworks. Publication Trends show a strong focus on automotive radar , drone detection , and human activity analysis using deep learning techniques.

Francesco Picarielloمشاهده پروفایل

پژوهشگر

• Electrical and Electronic Measurements
• Data Acquisition Systems
• Compressive Sampling
• +۷ مورد دیگر

Francesco Picariello is a Researcher at the Department of Engineering (DING) at the University of Sannio, specializing in Electrical and Electronic Measurements (ING-INF/07). His academic profile shows extensive expertise in measurement systems, data acquisition, and signal processing with applications across multiple domains including biomedical engineering, structural health monitoring, and wireless communications. His research interests focus on the design, implementation, and metrological characterization of mobile measurement systems, wireless sensor networks, data acquisition systems based on compressed sensing, signal processing, and image processing. These research activities have been applied to intelligent transportation systems, aerial photogrammetry using UAVs, indoor navigation, motion tracking, power consumption analysis of processors, wideband data acquisition systems, and physiological monitoring applications. Dr. Picariello's work demonstrates significant trends in compressive sampling techniques, with numerous publications on ECG signal processing, RF emitter localization, and structural health monitoring systems. His research shows a clear progression toward IoT integration, wearable medical devices, and security applications for communication channels. His scientific collaborations include institutions such as the University of Naples 'Parthenope', Military University of Technology of Warsaw, National Institute of Standards and Technology (NIST), Keysight Laboratories, CERN Institute, and the University of Tokyo, reflecting the international recognition of his work. As an active researcher with publications spanning from 2016 to 2025, Dr. Picariello has made substantial contributions to measurement science, particularly in the development of novel techniques for data acquisition, signal processing, and system metrological characterization across multiple application domains.

• Statistics
• Econometrics
• Supply Chain Management
• +۷ مورد دیگر

Dr. Anna Tatarczak is a Lecturer at the Department of Management Research Methods, Institute of Management and Quality Sciences, Faculty of Economics, Maria Curie-Skłodowska University. She holds a PhD in mathematical sciences from Jagiellonian University (2015) and an MSc in mathematics from Maria Curie-Skłodowska University. Her 13-year career spans research and education in statistics, econometrics, logistics, and decision analysis. PhD: Jagiellonian University (2015) MSc: Maria Curie-Skłodowska University (original text suggests Master of Science) Specialized in data analysis and project management through additional postgraduate studies Her research focuses on quantitative methods in management, particularly game theory approaches for supply chain coalitions, profit allocation models, and horizontal collaboration in logistics. She has led multiple research projects including "Coordination of supply chains: a game theory approach" (2020-2022) and commercial projects for companies like SOLVERIS and Innovative Engineering. Her academic output includes 27 publications with ministerial score 868, focusing on: Collaborative logistics Supply chain optimization Decision support systems Economic disparity analysis Energy consumption modeling Statistical applications in management She has implemented educational projects for children and youth, and served as expert for international entities including the State Education Development Agency (Latvia) and Horizon 2020. Her work combines rigorous mathematical approaches with practical industry applications.

Hendra I Nurdinمشاهده پروفایل

مدرس ارشد

• Quantum Control
• Quantum Systems
• Systems Theory
• +۱۰ مورد دیگر

Dr. Hendra I Nurdin is a Senior Lecturer in the School of Electrical Engineering and Telecommunications at the University of New South Wales (UNSW), where he has been a faculty member since 2012. His academic background spans Electrical Engineering and Applied Mathematics with a focus on systems and control theory, with significant research intersections in quantum physics and power engineering. He serves as an Associate Editor for IEEE Control Systems Letters (IEEE L-CSS) starting from January 2024. Dr. Nurdin's research spans quantum systems and control, nonlinear control of microgrids, and neuromorphic computing for nonlinear systems. His work in quantum control intersects with quantum physics while his research on microgrid control intersects with power engineering. His research has resulted in numerous publications across prestigious journals including Nature Communications, Physical Review Research, IEEE Control Systems Letters, and IEEE Transactions on Automatic Control. His recent publications (2020-2025) predominantly focus on quantum reservoir computing, quantum parameter estimation, control of non-Markovian quantum systems, and applications of control theory to energy systems. The research demonstrates a clear trajectory toward practical implementations of quantum computing concepts and advanced control methodologies for both quantum and classical systems. Associate Editor for IEEE Control Systems Letters (IEEE L-CSS) from January 2024 Dr. Nurdin has supervised several PhD students to completion and currently mentors PhD candidate Wen Liu. His research group has produced significant work in quantum control systems, with former students including Wenxing Li, Yihuan Liao, Jiayin Chen, Jiacheng Li, Muhammad Ali, Zhan Shi, and Onvaree Techakesari. He actively seeks new students with strong academic backgrounds for research in his areas of interest, particularly in quantum systems and control. His laboratory work focuses on quantum systems control, quantum reservoir computing, and microgrid control systems. He has developed courses including ELEC9782 Special Topics in Electrical Engineering 2 (Quantum Control) and teaches ELEC4631 Continuous-Time Control System Design.

Georgia Dedeمشاهده پروفایل

استادیار

• Cybersecurity
• Telecommunications
• Operations Research
• +۵ مورد دیگر

Georgia Dede is an Assistant Professor at the Department of Informatics and Telematics, School of Digital Technology, Harokopio University of Athens. Her expertise lies in evaluating systems and electronic services, with a focus on cybersecurity, telecommunications, and operations research. She holds a PhD from National and Kapodistrian University of Athens (2015), a Master’s in Management and Economics of Telecommunications Networks (2007), and an undergraduate degree in Informatics and Telematics (2005). Education: PhD: Decision Making Methods and Uncertainty Study (2015), National and Kapodistrian University of Athens Master’s: Management and Economics of Telecommunications Networks (2007), National and Kapodistrian University of Athens Bachelor’s: Informatics and Telematics (2005), National and Kapodistrian University of Athens Research Interests: Georgia’s research spans cybersecurity frameworks, pairwise comparison methodologies for decision-making, and economic modeling of telecommunications infrastructure. She explores topics like resilient IoT systems, AI applications in governance, and competitive dynamics in energy and telecom markets. Her work integrates technical and socio-economic perspectives to address challenges in network security, service evaluation, and policy design. Grants and Projects: Leading and participating in EU-funded programs under Horizon Europe and Digital Europe initiatives Prior roles as senior advisor/administrator at Netcompany Intrasoft and ENISA Labs/Teams: Her involvement in projects at Harokopio University and collaborations with institutions like the University of Patras emphasize applied research in digital technology and policy innovation.

• Queueing Theory
• Applied Probability
• Stochastic Systems
• +۳ مورد دیگر

Aleksandr Stolyar is a Professor in the Department of Industrial and Enterprise Systems Engineering and the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, with additional affiliation at the Coordinated Science Lab. His research bridges theoretical and applied aspects of stochastic modeling across multiple engineering domains. Stolyar's work centers on Queueing Theory, Applied Probability, and Stochastic Systems, with significant contributions to asymptotic analysis, optimality frameworks, and resource allocation problems. His fingerprint reveals deep expertise in service time optimization, packing constraints, and server system dynamics, reflecting a career-long focus on mathematical foundations of complex systems. Recent publications demonstrate consistent innovation in large-scale system analysis, particularly in infinite-server configurations with packing constraints, particle systems exhibiting mean-field behavior, and inventory models incorporating lead time randomness. His methodological approach consistently leverages asymptotic techniques to derive provably optimal or near-optimal policies. Scientific recognition includes: INFORMS Fellow (2021) for contributions to telecommunication systems and queueing theory At the Coordinated Science Lab, Stolyar contributes to interdisciplinary research advancing information technology through rigorous mathematical frameworks. His collaborative work spans theoretical developments with practical implications for telecommunications infrastructure and supply chain optimization, maintaining active engagement with both academic and industry partners.

Boubacar Kantéمشاهده پروفایل

استاد

• Wave-Matter Interaction
• Nanophotonics
• Plasmonics
• +۵ مورد دیگر

Boubacar Kanté is the inaugural Chenming Hu Endowed Chaired Professor at the University of California, Berkeley , affiliated with the College of Engineering and Department of Electrical Engineering and Computer Sciences . He leads research at the intersection of Nanophotonics , Plasmonics , Metamaterials , and Quantum Optics , with a focus on wave-matter interaction across microwave to optical frequencies. Education: Ph.D. in Engineering/Physics (Universite Paris Saclay, 2010), M.Eng. in Electrical Engineering and Computer Sciences (Ecole Polytechnique Universitaire de Lille, 2006), M.S. in Electrical Engineering/Telecommunications (Universite de Lille 1, 2006) His research explores topological photonics and bound state in continuum (BIC) lasers , addressing challenges in energy, defense, and health through novel optical devices. Notable inventions include the BerkSEL (Berkeley Surface Emitting Laser) and the first non-magnetic metamaterial invisibility cloak . Recent work focuses on quantum emitter synthesis in silicon , exceptional point-based sensors , and topological lasers . His publications span Nature , Science Advances , and Physical Review journals, emphasizing scalable quantum technologies and nonperiodic photonic systems. Scientific Awards: 2024 Bakar Prize 2021 Bakar Fellows Spark Award 2020 Moore Inventor Fellow 2017 ONR Young Investigator Award 2016 NSF Career Award 2010 Richelieu Prize 2007 URSI Young Scientist Award Kanté has advised Ph.D. students including Yertay Zhiyenbayev , Zhetao Jia , and Rushin Contractor . His group holds world records in plasmonic nanosensing and achromatic metalens bandwidth/efficiency . Current projects involve quantum internet technologies and silicon-based quantum light sources .

• Cybersecurity
• Identity Management
• Network Protocols
• +۳ مورد دیگر

Piotr Pacyna is a researcher at the Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology. He is actively engaged in academic research, with a focus on cybersecurity, identity management, and network protocols. His research interests include: Cybersecurity Identity Management Systems Network Protocols Virtualization in Future Internet Wireless Networks Group Key Distribution Piotr's recent publications highlight his work in blockchain-based identity discovery, self-healing cryptographic protocols, and network security frameworks. His contributions span both theoretical and practical implementations in cybersecurity and network systems.

Aron Woldeghiorgisمشاهده پروفایل

مدرس ارشد

• Micro-Electro-Mechanical Systems (MEMS)
• Micro-Opto-Electro-Mechanical Systems (MOEMS)
• Silicon-based Micro/Nano Fabrication
• +۷ مورد دیگر

Associate Professor Aron Woldeghiorgis is a Senior Lecturer at the School of Electrical Engineering and Telecommunications, University of New South Wales (UNSW), with a PhD in Electrical Engineering from UNSW. His research focuses on Micro-Electro-Mechanical Systems (MEMS) and Micro-Opto-Electro-Mechanical Systems (MOEMS), including silicon-based fabrication techniques, piezoelectric actuation, CMOS-MEMS integration, and flexible sensors. He has published over 90 scientific works and led innovations in on-chip atomic force microscopy, optical interconnects, and LiDAR technology for autonomous vehicles. B.E. (Hons) in Electrical Engineering, Addis Ababa University (AAU) MEngSc in Electronics and Communication, UNSW PhD in Electrical Engineering, UNSW His research interests span Nano/Micro electro-mechanical systems (N/MEMS) for optical switching, silicon photonics, and carbon nanofibers in flexible sensors. Recent articles highlight advancements in electrothermal actuators, low-thermal-budget silicon films, and piezoelectric micro-lens systems. He has secured grants like the 2021 ARC LIEF ($527K) for maskless lithography and 2018 Innovation Connect Grant ($120K) for MEMS tunable diffraction grating. Awards include the 2010 UNSW Inventor of the Year Award for '3D-Optical Interconnect.' He supervises four PhD students and teaches courses in Integrated Circuit Technology and Microsystems . Collaborations include industry partnerships with Baraja Pty Ltd and Sensornomics, along with academic roles in technical committees for APCOT and Transducers conferences.

• Network Architecture
• Software Defined Networking
• Internet of Things Security
• +۷ مورد دیگر

Professor Vijay Sivaraman is a distinguished academic at the University of New South Wales, where he serves as Professor in the School of Electrical Engineering and Telecommunications within the Faculty of Engineering. With extensive experience in network research, he leads significant projects in network architecture, security, and performance optimization. His educational background includes a PhD in Computer Science from UCLA (2000), an MSc in Computer Science from North Carolina State University (1996), and a B.Tech in Computer Science and Engineering from the Indian Institute of Technology, Delhi (1994). Professor Sivaraman's research focuses on making communication networks like the Internet more efficient and effective. He develops network architectures and algorithms for improving delivery of services such as video streaming and gaming, with particular expertise in scalable architectures and protocols for optical, wireless, and sensor networks. His work bridges theoretical foundations with practical applications to solve real-world networking challenges. His recent publications demonstrate a strong trend toward network security, particularly in IoT environments, Software Defined Networking applications, and enterprise network monitoring. A significant portion of his work addresses security challenges in the Internet of Things, DNS security, and metaverse network requirements, showing his ability to anticipate and address emerging networking challenges. Awarded the Chorafas Foundation Award in 2000, Professor Sivaraman has secured substantial research funding including an ARC Discovery Project ($405K for 2014-2017) on interactive and scalable media over software defined networks, and a Google Research Award ($63K for 2013) on virtualizing access networks using SDN. He currently supervises 6 students in his lab, with 10 students having already graduated under his guidance. His research group actively works on projects related to Software Defined Networking, security mechanisms for networked IoT devices, and improving Internet service quality using data analytics and artificial intelligence. Professor Sivaraman leads a dynamic research laboratory focusing on network technologies, with particular emphasis on creating practical solutions for real-world networking problems through the integration of theoretical research and hands-on experimentation.

• Communication networks
• Network security
• Software Defined Networks (SDN)
• +۷ مورد دیگر

Dr. Bhargavi Goswami is a lecturer at the School of Computer Science, Queensland University of Technology (QUT), with over 14 years of teaching experience in higher education. Her expertise spans communication networks, network security, and software-defined networks (SDN), where she integrates cutting-edge research into postgraduate teaching. Previously, she served as Assistant Professor and Head of Department (HOD) at CHRIST University and Garden City College in India. Education: PhD in Computer Science from QUT; professional certifications including CCNA and CCNP from Cisco. Dr. Goswami's research focuses on communication networks and network security, with a particular emphasis on Smart Grid Communication Networks, Software Defined Networks (SDN), Cryptography, Cybersecurity, Mathematical Modeling, and Congestion Control in Data Networks. Her current work explores the intersection of Quantum Computing, Machine Learning, and Network Programming to enhance communication security and efficiency. Her 15 most recent publications highlight trends in Smart Grid , SDN , and network security . Key subfields include latency optimization , load balancing , handoff methods , Wi-Fi Mininet , and Beacon controller scalability . Dr. Goswami has led multiple funded research projects, including work on low-latency communication for Smart Grids and P4-based network policies in SDN. She holds two patents and has authored monographs in her field. Her technical certifications and industry engagement underscore her practical contributions to communication systems and network security. She emphasizes ethical technology development and societal impact in her research and teaching.