جست‌وجوی استاد و پژوهشگر

• Atmospheric Science
• Remote Sensing
• Radar Meteorology
• +۷ مورد دیگر

Anthony Illingworth is a Professor in the Department of Meteorology at the University of Reading, UK, where he leads research in atmospheric remote sensing, radar and lidar technologies, and weather forecasting. His work is central to major satellite missions such as EarthCARE and WIVERN, and he collaborates extensively with European and international meteorological agencies. Education and Background: While specific degrees are not listed in the provided text, his long-standing academic career and leadership in advanced meteorological research suggest a PhD in atmospheric physics or a related field, likely from a UK institution. His research interests span radar meteorology , cloud physics , satellite remote sensing , precipitation measurement , boundary layer dynamics , and numerical weather prediction . He focuses on improving observational techniques using ground- and space-based sensors to enhance forecast accuracy. His work integrates physics-based models with real-world data from instruments such as Doppler radars, lidars, and polarimetric sensors. The publication trends from 2015 to 2025 reveal a consistent focus on satellite-based wind and cloud observations (e.g., WIVERN and EarthCARE), calibration of remote sensing instruments, and data assimilation for weather models. His articles frequently address technical challenges in radar signal interpretation, wind profiling in extreme weather, and the use of ground networks to validate and improve forecasts. A recurring theme is the development and validation of new methodologies for extracting atmospheric parameters from remote sensing data. Scientific Awards: Advising and Grants: While no students or grants are explicitly listed, his frequent senior authorship and leadership in large collaborative projects (e.g., FRANC, EarthCARE) suggest active supervision of PhD students and postdoctoral researchers, as well as success in securing major research funding from agencies such as the UK Met Office, ESA, and NERC. Labs and Teams: Illingworth is closely associated with the atmospheric remote sensing group at the University of Reading, which operates advanced radar and lidar systems. He collaborates with the European Centre for Medium-Range Weather Forecasts (ECMWF), CNRS in France, and the CloudSat science team, indicating strong institutional partnerships and team-based research in operational and satellite meteorology.

Georgios Kavallieratosمشاهده پروفایل

دانشیار

• Cybersecurity
• Maritime Cybersecurity
• Cyber-Physical Systems
• +۳ مورد دیگر

Georgios Kavallieratos is an Associate Professor at the University of Oslo's Institute of Transport Economics, specializing in the Section for Autonomous Systems and Sensor Technologies. His research focuses on cybersecurity in maritime systems, cyber-physical systems, and risk management. He actively contributes to the DESSI project on energy system security infrastructure. His research interests include maritime cybersecurity, cyber-physical system security, and the intersection of safety and security in autonomous systems. His work addresses threats to navigation systems, smart farming, and satellite communications, with a focus on developing risk assessment frameworks and robust cybersecurity controls. Recent publications emphasize maritime cybersecurity trends, integrated navigation system protection, and threat analysis in emerging technologies like Dairy Farming 4.0. He co-authored foundational papers on cyberattack defenses for autonomous ships and cybersecurity requirements for Shipping 4.0. Current projects involve enhancing societal awareness of cybersecurity risks and improving incident response strategies for critical infrastructure. His work bridges theoretical cybersecurity principles with practical applications in transportation and industrial systems.

• Antenna Design
• Evolutionary Algorithms
• Wireless Communications
• +۷ مورد دیگر

Sotirios K. Goudos is a Professor at the Department of Physics, Aristotle University of Thessaloniki (AUTH), Greece, and Director of the ELEDIA@AUTH lab within the ELEDIA Research Center Network. His research focuses on antenna design, evolutionary algorithms, wireless communications, machine learning, and IoT applications. He holds a B.Sc. in Physics (1991), M.Sc. in Electronics (1994), Ph.D. in Physics (2001), and additional qualifications in Information Systems and Electrical Engineering. Prof. Goudos is a Senior Member of IEEE and serves as Editor-in-Chief of the Telecom open access journal (MDPI) and Associate Editor for IEEE Transactions on Antennas and Propagation, IEEE Access, and IEEE Open Journal of the Communication Society. He has organized multiple special issues in journals like EURASIP Journal on Wireless Communications and Networking and has authored/edited books on antennas and AI in networks. His awards include multiple IEEE Access Outstanding Associate Editor recognitions (2019–2023) and inclusion in Stanford University's top 2% scientists list (2020–2024). He teaches courses on telecommunications, Java programming, and microwave systems, and has supervised over two dozen master's students since 2009. His work spans antenna optimization, AI-driven communications, and IoT security, with contributions to 5G/6G, RIS systems, and smart agriculture. Prof. Goudos actively contributes to IEEE Greece Section leadership roles, including Secretary (2022) and Vice-Chair (2023–2024). His labs and teams focus on ELEDIA's research in electromagnetics, optimization, and AI applications.

Carlo Pinciroliمشاهده پروفایل

دانشیار

• Swarm Robotics
• Swarm Intelligence
• Multi-Robot Systems
• +۶ مورد دیگر

Carlo Pinciroli is an Associate Professor and Graduate Coordinator in the Robotics Engineering department at Worcester Polytechnic Institute (WPI). He directs the NEST Lab and holds appointments in the Artificial Intelligence Program, Computer Science, and Fire Protection Engineering. His research focuses on swarm robotics, including the development of the Buzz programming language and the ARGoS simulator. He has been funded by NSF, NASA, the US Army, and industry partners like Amazon Science. Education: PhD in Robotics Engineering (Université Libre de Bruxelles, 2014), MS in Computer Science (Politecnico di Milano and University of Illinois at Chicago, 2005), Postdoc at École Polytechnique de Montréal (2015). Research Interests: Multi-robot systems, swarm intelligence, software engineering for robotics, human-swarm interaction, disaster response robotics, and collective perception. He has published over 70 peer-reviewed articles and received awards including the Best Paper Award at AAMAS 2022 and the Romeo L. Moruzzi Young Faculty Award (2020). Editorial Roles: Associate Editor for Swarm Intelligence , ICRA , and IROS . Program committee member for conferences like RSS, ANTS, and AAMAS. Grants and Projects: Includes NASA-funded work on robot swarms in space, NSF grants, and collaborations with companies like Raytheon Technologies and BAE Systems.

Dipanwita Thakurمشاهده پروفایل

استادیار

• Green Artificial Intelligence
• Federated Learning
• Smart Healthcare
• +۴ مورد دیگر

Dr. Dipanwita Thakur serves as Assistant Professor at the Department of Computer Engineering, Modeling, Electronics and Systems (DIMES) at the University of Calabria, Italy since July 2023. She is an active member of the European Cooperation in Science & Technology (COST Action CA22104) focusing on cybersecurity and serves in the IEEE Future Networks Working Group for Artificial Intelligence/Machine Learning. Previously, she held a 15-year Assistant Professor position at Banasthali University, Rajasthan, and has industry experience at TechMahindra and C-DAC. Education: Ph.D. in Smart Healthcare from West Bengal University of Technology, Kolkata M.Tech. in Software Engineering from Banasthali Vidyapith MCA from NIELIT, Government of India B.Sc. from University of Calcutta Her research pioneers Green Artificial Intelligence with emphasis on energy-efficient federated learning and smart healthcare applications. She develops privacy-preserving human activity recognition systems using multimodal data fusion, focusing on performance evaluation and environmental sustainability. Her work bridges theoretical machine learning with practical healthcare solutions, optimizing AI systems for reduced carbon footprint while maintaining clinical efficacy through hardware-algorithm co-design and quantization techniques. Recent publications reveal a strong trajectory toward sustainable AI, with increasing focus on energy-aware federated learning frameworks, multimodal medical segmentation, and non-IID data handling. Her work consistently addresses the critical balance between model accuracy, convergence speed, and energy consumption across edge devices, with growing emphasis on quantization techniques and hardware-algorithm co-design for real-world deployment. Scientific Awards: Elevated to IEEE Senior Member (2024) Dr. B.C. Roy Memorial Scholarship for outstanding 10th Board results (1992) Student Science Seminar Award by West Bengal Government (1990) Dr. Thakur actively mentors students as evidenced by her congratulations to advisee Farwa for paper acceptances. She serves as Associate Editor for Information Fusion (Elsevier) and IEEE Sensors Journal, and holds editorial roles at Scientific Reports. Her research is advanced through COST Action CA22104 and IEEE working groups, though specific grant details aren't listed in the source material. She has organized key workshops including Green-Aware AI 2024 and Green Federated Learning at IJCNN 2025. She leads research within the MONAI community on data quality and federated learning, and contributes to IEEE IoT and Future Networks initiatives. Her work with the COST Action CA22104 Behavioral Next Generation in Wireless Networks connects cybersecurity with sustainable AI development, while her Missouri S&T visiting scholar position focuses on energy optimization for federated learning systems.

Hervé Debarمشاهده پروفایل

استاد

• Network Security
• Information Systems Security
• SIEM (Security Information and Event Management)
• +۶ مورد دیگر

Hervé Debar is a Professor and head of the Telecommunications Networks and Services (RST) department at Télécom SudParis. His research focuses on network and information system security, including SIEM systems, automated threat mitigation, SDN security, and resilience against cyber attacks. He coordinates major European projects like NECOMA (EU-Japan cybersecurity collaboration) and PANOPTESEC (industrial control systems security). Research interests span SIEM frameworks, intrusion detection, risk management, and defense mechanisms for critical infrastructures. His work emphasizes practical implementation through projects like MASSIF (SIEM decision support systems) and DEMONS (privacy-aware network monitoring). Recent articles address TLS protocol analysis, DDoS mitigation with SDN, honeypot models, and risk assessment for healthcare systems. He supervises multiple PhD students and collaborates with industry partners via CIFRE theses. His research group is part of SAMOVAR (CNRS UMR 5157). Teaching includes leading the Networks and Systems Security master's program, emphasizing hands-on training with industry partnerships. He actively recruits postdocs and engineers for cybersecurity research.

• Signal Processing
• Image Processing
• Wireless Sensor Networks
• +۱۲ مورد دیگر

Professor Tariq Durrani is a Research Professor in the Department of Electronic and Electrical Engineering at the University of Strathclyde, UK. He is also recognized as a Visiting Professor and Honorary Professor at other institutions, reflecting his international academic engagement. His research spans signal and image processing with applications in sensor networks, UAVs, and intelligent communication systems. Research Interests: Signal and Image Processing Integrated Sensing and Communication (ISAC) Unmanned Aerial Vehicle (UAV) Networks Wireless Sensor Networks Big Data Analytics for Energy and Infrastructure Cognitive Neuroscience-Inspired Systems His recent publications highlight a strong trend in leveraging deep learning and optimization techniques for next-generation wireless systems, particularly in intelligent transportation, secure communications, and IoT. The integration of sensing, communication, and computing in UAV-enabled environments is a dominant theme. His work contributes to UN Sustainable Development Goals in clean energy, smart cities, and climate action. Scientific Awards and Honors: Thales Scottish Technology Prize 2009 (Third Place) Elected Honorary Member, Eta Kappa Nu (2010) Honorary Professor, University of Stirling (2010) Visiting Professorial Fellow (2012) Vice President (International Activities) Recipient (2012) Research Leadership: He has led and co-led multiple funded research projects, including those supported by the Royal Society of Edinburgh and the British Council, focusing on geological disaster monitoring, microseismic detection in oil exploration, and cognitive information integration in heterogeneous networks. His collaborative network spans the UK, China, and other international partners. Laboratories and Research Teams: His work is associated with advanced research in intelligent systems and sensor networks at the University of Strathclyde, contributing to the Fingerprint research profile in areas such as Unmanned Aerial Vehicles, Algorithms, and Optimization.

Shamik Senguptaمشاهده پروفایل

استاد

• Wireless Networking & Mobile Computing
• Unmanned Autonomous Systems
• Cognitive Radio
• +۲۸ مورد دیگر

Shamik Sengupta is the Ralph E. and Rose A. Hoeper Professor at the University of Nevada, Reno (UNR) , where he serves as Professor in the Department of Computer Science & Engineering and Executive Director of the Cybersecurity Center . He holds a PhD in Computer Science from the University of Central Florida (2007) and a BE in Computer Science from Jadavpur University (2002). IEEE Senior Member Director, UNR Cybersecurity Center NSF CAREER Award Recipient

• Information Security
• Cybersecurity
• Smart Card Security
• +۱۵ مورد دیگر

Konstantinos Markantonakis is a Professor of Information Security in the Department of Information Security at Royal Holloway, University of London, where he also serves as Director of the Smart Card and IoT Security Centre and the Transformative Digital Technologies, Security and Society Catalyst. He is a leading figure in embedded systems and IoT security, with extensive research and consultancy experience. BSc (Hons) in Computer Science, Lancaster University, 1995 MSc in Information Security, Royal Holloway, 1996 PhD in Smart Card Security, Royal Holloway, 2000 MBA in International Management, Royal Holloway, 2005 His research focuses on securing embedded and cyber-physical systems, including smart cards, mobile devices, drones, automotive systems, and IoT. He investigates trusted execution environments, side-channel analysis, secure protocols, and hardware-software binding. His work bridges theoretical security and practical implementation, often uncovering zero-day vulnerabilities in consumer devices. The recent publications highlight a strong trend in trusted computing, remote attestation, secure embedded systems, and privacy-preserving technologies. His research integrates blockchain for secure energy trading, develops frameworks for edge machine learning, and advances forensic techniques for damaged storage media. He also explores covert channels in mobile and cloud environments, demonstrating a deep understanding of both offensive and defensive security. Best Paper Award Markantonakis has led major research projects such as EXFILES (forensic extraction from encrypted smartphones), Future TPM (quantum-resistant trusted modules), and the Academic Centre of Excellence in Cyber Security Research. He has supervised numerous PhD students and delivered keynotes at international conferences. His consultancy work has impacted financial institutions, transport operators, and mobile platform security. He leads the Smart Card and IoT Security Centre, a research hub focusing on practical security for connected devices. The centre conducts cutting-edge research in side-channel attacks, secure application execution, and forensic analysis, contributing significantly to both academic and industrial advancements in cybersecurity.

Nele Mentensمشاهده پروفایل

استاد

• Applied Cryptography
• Hardware Security
• Secure Coprocessor Design
• +۱۲ مورد دیگر

Nele Mentens is a full professor at both KU Leuven and Leiden University, where she leads cutting-edge research in applied cryptography, hardware security, and secure embedded systems. At KU Leuven, she is affiliated with the Faculty of Engineering Technology and the Electrical Engineering Department (ESAT), leading the Emerging Technologies, Systems & Security (ES&S) research group at the Diepenbeek campus. Simultaneously, she holds a full professorship at Leiden University’s Leiden Institute of Advanced Computer Science (LIACS), focusing on applied cryptography and security. She has been instrumental in numerous national and international research initiatives, including Horizon Europe and NWO-funded projects. Full Professor, KU Leuven (since 2023) Full Professor, Leiden University (since 2020) Associate Professor, KU Leuven (2014–2023) Post-doctoral Researcher & Lecturer, KHLim / KU Leuven (2007–2014) Ph.D. in Engineering Science, KU Leuven (2007) M.Sc. in Electrical Engineering, KU Leuven (2003) Her research focuses on secure and efficient hardware design, particularly for cryptographic applications on FPGAs, reconfigurable architectures, IoT security, and neuromorphic computing. She explores physical attack resistance, side-channel analysis protection, and trusted computing architectures, with applications in healthcare, industrial monitoring, and endpoint AI. Her work bridges theoretical cryptography with practical hardware implementations, emphasizing energy efficiency and real-time performance. The 15 most recent publications reflect a strong trend toward secure, energy-efficient, and intelligent embedded systems. Topics include neuromorphic AI accelerators, trusted IoT architectures, dynamic reconfiguration for side-channel protection, and secure medical data processing. These works span disciplines such as computer architecture, cybersecurity, digital design, and embedded systems, with a focus on hardware-software co-design and real-world deployment. Nele Mentens has received recognition for her contributions, including: Best Paper Award, DATE'16 Best Paper Nomination, AsianHOST'17 Best Paper Award, CHES'19 She has supervised over 15 Ph.D. students and post-docs, both current and former, and has served as principal investigator in approximately 25 funded research projects. Her work has attracted significant grants from Horizon Europe, NWO, FWO, and national innovation programs. She actively contributes to the academic community through editorial roles in top journals and leadership in major conferences. Nele Mentens leads the ES&S research group at KU Leuven and collaborates closely with LIACS at Leiden University. Her team includes Ph.D. students, post-docs, and research experts working on projects like NimbleAI, NeuroSoC, and TrustedIoT. She has also established secure electronics labs through infrastructure grants and maintains strong international ties with institutions such as EPFL, Ruhr University Bochum, and ETH Zurich.

Jorg Liebeherrمشاهده پروفایل

استاد

• Computer Networks
• Network Calculus
• Internet of Things (IoT)
• +۶ مورد دیگر

Jorg Liebeherr is a Professor in the Department of Electrical and Computer Engineering at the University of Toronto, holding the Nortel Chair of Network Architecture and Services. His research focuses on computer networks , particularly network calculus , self-organizing networks , protocol design , and traffic scheduling . Education: Diplom-Informatiker (with distinction), University of Erlangen (Germany), 1988 PhD, Computer Science, Georgia Institute of Technology, 1991 His recent work includes low-cost LoRa mesh networks for environmental sensing and mathematical frameworks for traffic control in 5G and IoT systems. Publications span journals like IEEE Internet of Things Journal and conferences such as IEEE Infocom and ACM Sigmetrics . Scientific Awards: IEEE Fellow (2008) Outstanding Service Award, IEEE ComSoc TC on Computer Communications (2006) ACM Sigmetrics Best Student Paper Award (2005) NSF CAREER Award (1996) Advising and Grants: Supervised 15+ theses (MASc/PhD) and secured grants from NSF, Virginia Engineering Foundation, and industry partners. Labs: Leads the Network Research Lab and HyperCast projects, an open-source platform for application-layer internetworking.

• Cybersecurity
• Machine Learning
• Internet of Things (IoT)
• +۴ مورد دیگر

Nikos Komninos is a researcher at City, University of London , specializing in cybersecurity, network security, and privacy-preserving systems. His work spans Internet of Things (IoT) , mobile ad hoc networks , and cloud computing security. Research Areas : Cybersecurity frameworks, machine learning for threat detection, quantum-resistant encryption, and privacy-preserving authentication systems. His recent publications focus on ransomware detection under concept drift, DDoS mitigation in IoT, and attribute-based encryption for fog computing. He has contributed to IEEE Transactions and journals like Computers & Security , with a trend toward real-time adaptive security systems and Bayesian risk assessment .

İsmail Arıمشاهده پروفایل

استادیار

• Cloud Computing
• Big Data
• Machine Learning
• +۱۲ مورد دیگر

Dr. İsmail Arı is an Assistant Professor in the Computer Science department at Özyeğin University . He holds a PhD from the University of California, Santa Cruz (2004), MS from University of Maryland (2000), and BS in Electrical & Electronics Engineering from Boğaziçi University (1998).

Samarjit Chakrabortyمشاهده پروفایل

استاد

• Distributed Embedded Systems
• Hardware/Software Co-design
• Embedded Control Systems
• +۹ مورد دیگر

Samarjit Chakraborty is the William R. Kenan, Jr. Distinguished Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. He previously held the Chair of Real-Time Computer Systems at the Technical University of Munich (2008–2019) and was an assistant professor at the National University of Singapore (2003–2008). His research spans real-time embedded systems, cyber-physical systems (CPS), and automotive security. Research Interests include distributed embedded systems, hardware/software co-design, low-power systems, energy storage, electromobility, and sensor network-based information processing. His work addresses challenges in scheduling algorithms for autonomous vehicles, timing predictability in automotive networks, and safety-critical controller implementations. Recent Publications highlight advancements in Timing analysis for automotive networks Energy modeling of Bluetooth Low Energy Autonomous vehicle perception computing Security in automotive systems Flexible manufacturing with process dynamics Scientific Awards include the ETH Medal, European DAAD Outstanding Doctoral Dissertation Award, multiple best paper awards at conferences (ISLPED, ICCD, RTCSA, etc.), the 2023 Humboldt Professorship, and IEEE Fellowship. Advising active PhD students: Clara Hobbs, Shengjie Xu, Sharmin Aktar, and postdoc Enrico Fraccaroli. His research is supported by NSF grants and industry partnerships with General Motors, Intel, Google, BMW, Audi, Siemens, and Bosch.

Per Frankeliusمشاهده پروفایل

دانشیار

• Innovation Studies
• Agricultural Economics
• Marketing
• +۴ مورد دیگر

Per Frankelius is an Associate Professor and Senior Lecturer in Business Administration at Linköping University's Department of Economic and Industrial Development (IEI). His work centers on understanding and stimulating innovative processes, primarily in agriculture, with marketing as a key component. He serves as process manager for Agtech Sweden (formerly Agtech 2030), a major innovation initiative funded by Vinnova with a budget of nearly 200 million SEK. Frankelius's research focuses on the intersection of innovation, marketing, and business analysis. He defines innovation as 'original concepts that gain acceptance in society,' arguing that marketing and external factors are natural parts of the innovation process. His current work emphasizes agricultural innovations, climate calculations, and the role of agriculture in addressing global challenges like food security and climate change. He has developed visual models of company development over time and studies 'X-factors'—external elements not central to mainstream economic models. His publications reveal a strong trend toward practical applications of innovation theory in agriculture and sustainability. The research spans climate policy, technological standardization, resource integration in green services, and international agricultural technology transfer. Frankelius frequently connects innovation to broader societal challenges, particularly food security and the role of agriculture in peace and stability. His work bridges theoretical business administration with practical agricultural applications, often challenging conventional paradigms like the IPCC's climate calculations for agriculture. Silver Medal, Agritechnica Innovation Award (as part of Agtech 2030 team) Frankelius actively participates in societal debates, writing for publications like The Lancet and Aftonbladet. He advocates for investment in agricultural innovation to prevent food shortages that could lead to conflict. His work with Agtech Sweden involves collaboration with numerous industry partners, government agencies, and international organizations. The initiative has secured significant funding from Vinnova and has established a national knowledge hub for agricultural digitalization with a 20 million SEK budget. As co-leader of the innovation environment Agtech Sweden, Frankelius works with partners to establish an innovation ecosystem focused on sensors, digital technology, AI, and the Internet of Things for tomorrow's agriculture. The initiative includes projects like solar co-farming, precision agriculture, and international delegation trips to share knowledge and develop new technologies.