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Chenchen KangView profile

Assistant Professor

• Precision Agriculture
• Autonomous Agricultural Machinery
• Computer Vision
• +4 more

Chenchen Kang serves as Assistant Professor of Precision Agriculture in Tennessee State University's College of Agriculture, Department of Agricultural Science and Engineering, based at the Otis L. Floyd Nursery Research Center in McMinnville, TN. His work integrates cutting-edge technology with agricultural engineering to solve field-level production challenges. Education: Postdoctoral Scholar, The Pennsylvania State University (2023-2025) Ph.D., Biological and Agricultural Engineering, Washington State University (2018-2023) M.S., Agricultural Mechanization Engineering, China Agricultural University (2016-2018) B.S., Agricultural Engineering (Outstanding Graduate), China Agricultural University (2012-2016) Dr. Kang's research pioneers autonomous agricultural machinery and AI-driven field solutions , with core expertise in computer vision for crop monitoring, precision irrigation systems, and robotic harvesting. His work bridges electrohydraulic control systems and data science to optimize resource use in specialty crops, particularly viticulture and vegetable production. Key innovations include hyperspectral imaging for water stress detection and low-cost sensor networks for orchard management. Analysis of his 9 publications (2022-2025) reveals dominant trends in sensor fusion (hyperspectral/thermal/3D imaging) for real-time vineyard monitoring, robotic thinning/spraying systems, and IoT-based decision support. The research consistently targets practical implementation in controlled environments and open-field agriculture, with strong emphasis on cost-effective solutions for small-scale growers. Dr. Kang actively secures external funding as Co-PI on State Horticultural Association of Pennsylvania projects ($20,964 total) for orchard sensor systems. He has contributed to USDA proposals including AgShred robotic harvesting ($601,250) and precision crop load management. His research infrastructure leverages the Otis L. Floyd Nursery Research Center for field validation of agricultural robotics and sensor technologies.

Markus HermannView profile

Researcher

• Atmospheric Aerosol
• Upper Troposphere
• Lower Stratosphere
• +3 more

Dr. Markus Hermann is a Research Scientist and Group Leader of Experimental Aerosol Physics at the Leibniz Institute for Tropospheric Research, where he has worked since 2004. He leads the Tropospheric Aerosols workgroup within the Department of Atmospheric Microphysics. His academic background includes a Diploma in Physics from Johann Wolfgang Goethe University Frankfurt (1987-1994) and a PhD in Aerosol Measurement Technology from Leibniz Institute/University of Leipzig (1994-2000), followed by postdoctoral research (2000-2004). His research focuses on: Atmospheric aerosol properties and distribution Upper troposphere and lower stratosphere dynamics Aircraft-borne measurement systems development Computational Fluid Dynamics (CFD) modeling Volcanic aerosol impacts on atmospheric chemistry Dr. Hermann's publications predominantly explore atmospheric particle measurements, aerosol-cloud interactions, and stratospheric-tropospheric exchange processes. His work utilizes CARIBIC aircraft data to analyze aerosol distributions, volcanic impacts, and mercury transport across hemispheres. Awards: ESF INTROP Poster Prize EAC 2006 He teaches courses on 'Atmospheric Aerosol' and 'Airborne Aerosol Measurement Systems' and leads multiple research projects including CARIBIC-AMS (DFG), IAGOS-D (BMBF), IGAS (EU), and UAV (DFG). Dr. Hermann represents TROPOS in several international committees including the SPARC 'Stratospheric Sulfur and its Role in Climate' initiative, HALO Scientific Steering Committee, and European Research Infrastructure IAGOS.

Alessio GambiView profile

Researcher

• Software Engineering
• Software Testing
• Self-Driving Cars
• +4 more

Alessio Gambi is a Researcher at the Austrian Institute of Technology (AIT) within the Security & Communication Technologies department, specializing in software engineering for autonomous systems. His current work focuses on testing methodologies for self-driving cars, self-adaptive systems, and cloud environments. His research interests center on Software Testing for Autonomous Vehicles , where he develops novel techniques for scenario generation, safety validation, and uncertainty management. Key areas include search-based procedural content generation, simulation-based testing, and the integration of large language models for test learning. His work bridges theoretical advances with practical tools like Flexcrash and TEASER for real-world validation. Analysis of his recent publications (2023-2025) reveals a strong trend toward autonomous vehicle testing with increasing incorporation of AI techniques. Approximately 60% of his work addresses self-driving car validation, 25% focuses on general software testing methodologies, and 15% explores AI/LLM applications in testing. His subfield specialization shows consistent emphasis on critical scenario generation, mixed-traffic simulation, and safety monitoring. Gambi actively contributes to the software engineering community through program committee roles at major conferences including ASE (2023-2025), ICSE (2024-2026), ISSTA (2021-2025), and ESEC/FSE. He has served as session chair, workshop organizer, and track committee member across these venues, demonstrating leadership in software testing research. His professional activities include developing open-source testing tools (visible on GitHub), teaching engagements like the Database Systems course at AIT (2024), and industry collaborations through AIT's research infrastructure. Current projects focus on predictive safety monitoring and uncertainty management for automated driving systems.

Ken SalemView profile

Professor

• Database Systems
• Distributed Systems
• Cloud Computing
• +2 more

Ken Salem is a Professor at the Cheriton School of Computer Science, University of Waterloo. His research focuses on database systems, distributed systems, cloud computing, and storage management. He has supervised 12 PhD students to completion, with graduates now working at companies like Google, Qualcomm, and SAP. His research interests include: Database system architecture and optimization Distributed transaction processing Cloud-based data management Energy-efficient computing Storage systems and hardware interactions Recent publications show strong focus on transactional systems, durability mechanisms, and cloud-native database architectures. His work consistently appears in top-tier venues like VLDB, SIGMOD, and IEEE Transactions on Knowledge and Data Engineering. Key projects include: SHADOW systems for high availability DimmStore for memory power optimization NoSE for NoSQL schema design RemusDB for transparent database availability

• Wireless Communications
• 5G/6G Networks
• Non-Terrestrial Networks
• +6 more

Muhammad Zeeshan Shakir is a Professor in the Department of Electronic and Electrical Engineering at the University of Glasgow's College of Science and Engineering. With over 120 publications spanning from 2007 to present, his career demonstrates sustained research excellence in wireless communications and networking technologies. His work bridges theoretical foundations with practical applications, particularly in next-generation communication systems. Professor Shakir's research interests focus on the cutting edge of wireless technology evolution. His work spans 5G/6G networks, non-terrestrial communications, Internet of Things, and machine learning applications in networking. Early in his career, he made significant contributions to cognitive radio and device-to-device communications, which laid the foundation for his current work on 6G architectures and non-terrestrial networks. His recent publications demonstrate a strategic expansion into AI-driven networking solutions, edge computing applications, and metaverse-enabling technologies. This research trajectory reflects both technical depth in wireless communications and adaptability to emerging technological paradigms. His publication portfolio shows a consistent pattern of impactful contributions, with recent work analyzing trends in airborne networks, reconfigurable intelligent surfaces, and multi-RAT selection in 5G/6G environments. These publications frequently address critical industry challenges including coverage extension, energy efficiency, and seamless connectivity across heterogeneous network environments. His work on emotion recognition at the edge and virtual metaverse environment development demonstrates expanding interdisciplinary reach. Professor Shakir has successfully mentored numerous PhD students including Yusufu Gambo, Ifiok Anthony Umoren, and Cezar Anicai, whose research spans smart learning environments, energy trading in microgrids, and federated learning applications. His collaborative approach is evident through extensive co-authorship networks, particularly with researchers at University of Glasgow and international institutions. His research has been supported through various grants focused on next-generation wireless systems, with particular emphasis on practical implementations that address real-world connectivity challenges. Current projects appear to focus on integrating AI with wireless infrastructure to create more adaptive, efficient, and user-centric communication systems.

Glenford MappView profile

Associate Professor

• Intelligent Transportation Systems
• Networking Protocols
• Cybersecurity
• +6 more

Dr. Glenford Mapp is an Associate Professor in the Department of Computer Science at Middlesex University. His research focuses on Cooperative Intelligent Transportation Systems (C-ITS), transport protocols for mobile environments, and edge computing frameworks such as the Y-Comm system. He explores intelligent algorithms for caching, network memory servers, and energy-efficient resource allocation in vehicular edge networks. His work emphasizes cybersecurity in healthcare, digital forensics for big data networks, and smart city infrastructure. Notable contributions include frameworks for secure service ecosystems, decentralized digital forensics, and AI-driven network design integrating IoT and cloud computing. He collaborates on projects involving vehicular communications, wireless medical networks, and post-pandemic healthcare security. Publications span topics like edge computing, vehicular networks, and smart city technologies. His research bridges theoretical models (e.g., queuing theory, particle swarm optimization) with practical implementations, including prototypes for traffic management and secure cloud-based services.

Alex Hagen-ZankerView profile

Associate Professor

• Geographical Information Science
• Spatial modelling and simulation
• Infrastructure systems
• +4 more

Dr. Alex Hagen-Zanker is an Associate Professor in Infrastructure Systems at the University of Surrey's School of Sustainability, Civil and Environmental Engineering. His research focuses on quantitative analysis and simulation modelling of land use, transport, and urban activities, addressing challenges in urbanization, environmental pressures, and social equity. He leads initiatives on spatial modelling, infrastructure systems, and nature-based solutions. He holds roles as Director of Learning and Teaching and Module Leader in the School. His teaching contributions include Geographical Information Science, Numerical Methods, and Environmental Engineering modules. His work integrates geospatial technologies with environmental and transportation systems to inform sustainable urban development. Research interests include geographical information science, spatial simulation, urbanization dynamics, and landscape processes. He has collaborated on projects funded by ESRC (JPI Urban Europe / NSFC), focusing on multifunctional landscapes and urban growth scenarios. Recent work explores machine learning applications in urban planning and policy-relevant decision frameworks. His publications span over two decades, addressing topics from bridge scour risk under climate change to the socio-ecological impacts of urban expansion. His interdisciplinary approach bridges engineering, environmental science, and policy, emphasizing data-driven solutions for resilient infrastructure systems.

• IoT (Internet of Things)
• Platform Business Models
• Data Analytics
• +5 more

Felix Wortmann is a Professor and Senior Lecturer of Information and Operations Management at the University of St. Gallen (HSG), affiliated with the ITEM-HSG Institute. His research focuses on IoT platforms, platform business models, data ecosystems, and the integration of health informatics with automotive systems. He explores topics such as energy efficiency in smart buildings, machine learning applications for driver safety, and blockchain-based decentralized systems. Research Interests: IoT and Platform Ecosystems Data-Driven Business Models Health Technology Integration in Vehicles Smart Energy Systems and Sustainability Machine Learning for Real-Time Decision Making Blockchain and Decentralized Finance Key Contributions: His work bridges technical innovation with business strategy, addressing challenges like peer-to-peer energy trading, non-invasive health monitoring in vehicles, and transforming traditional product companies into service-driven enterprises. Grants & Collaborations: Collaborations include automotive manufacturers, energy companies, and healthcare institutions. Current research focuses on software-defined vehicles, circular economy catalysts, and AI-driven health interventions.

• Blockchain Technology
• Internet of Things
• Cybersecurity
• +4 more

Syed Muhammad Danish is a researcher specializing in Blockchain Technology and its applications in Internet of Things (IoT) , Cybersecurity , and Smart Grids . His work focuses on integrating blockchain for security, data privacy, and efficient resource allocation in large-scale systems. Research Interests : Blockchain, IoT, Federated Learning, Electric Vehicles, Cybersecurity, Data Privacy Key Collaborations : Kaiwen Zhang, Hans-Arno Jacobsen, Aroosa Hameed, Ali Ranjha Publication Trends : Recent articles (2025) address privacy-preserving techniques in renewable energy forecasting and electric vehicle charging load optimization using blockchain and federated learning. 2024 studies explore blockchain-as-a-service architectures and energy credit management via distributed ledgers. 2023-2018 works focus on IoT security, blockchain middleware, and defense mechanisms against jamming attacks in LoRaWAN systems.

Roberto PalmieriView profile

Associate Professor

• Concurrency
• Synchronization
• Distributed Computing
• +6 more

Roberto Palmieri is an Associate Professor in the Department of Computer Science & Engineering at Lehigh University, where he co-leads the Scalable Systems Software (SSS) Research Group. He holds a Ph.D., M.S., and B.S. in Computer Engineering from Sapienza University of Rome (2012, 2008, 2006). His research focuses on concurrency, synchronization, distributed computing, and heterogeneous systems, emphasizing protocols optimized for multicore, cluster-scale, and geo-distributed infrastructures. His work spans theoretical and practical advancements in distributed systems, including atomic registers, consensus algorithms, and blockchain concurrency control. He has received an NSF CAREER Award for research on RDMA-optimized distributed protocols. Palmieri advises students in the Rossin College of Engineering and collaborates on high-performance computing projects, contributing to frameworks like HyFlow and Shield. Education: Ph.D., Computer Engineering, Sapienza University of Rome (2012) M.S., Computer Engineering, Sapienza University of Rome (2008) B.S., Computer Engineering, Sapienza University of Rome (2006) His research emphasizes scalability, fault tolerance, and performance in distributed systems. Recent work includes protocols for RDMA systems (e.g., ALock, Rome), blockchain transaction management (OCToPus), and hardware-accelerated synchronization (HATS). He has published extensively at top venues like OPODIS, DISC, and IEEE conferences. Awards: NSF CAREER Award (2021) Grants: CAREER: Distributed Protocols and Primitives Optimized for RDMA (2021) Palmieri leads the SSS Group, which develops open-source tools for distributed systems and collaborates on industry-relevant projects. His lab investigates cutting-edge topics like NUMA-aware concurrency, transactional memory, and cloud-optimized data grids.

Vladimir M. CiricView profile

Professor

• Computer Networks
• Network Security
• Parallel Computing
• +3 more

Dr. Vladimir M. Ciric is a Full Professor at the Faculty of Electronics, University of Niš, leading the Department of Computer Science. He directs the Laboratory for Advanced Security Systems and specializes in network security, distributed systems, and high-performance computing. His research spans intrusion detection systems, cloud computing cost modeling, and parallel algorithm design. Notable contributions include Hadoop-based network intrusion detection techniques and tiered programming pedagogy. He received the Cisco Excellence Award (2015) for network technology education. Dr. Ciric teaches courses on network design, cloud computing, and security while maintaining research collaborations in cybersecurity and distributed architectures. His recent work focuses on extreme class imbalance in intrusion datasets and sparse matrix optimizations.

Maarten van ReeuwijkView profile

Professor

• Urban Fluid Mechanics
• Atmospheric Sciences
• Turbulent Flows
• +10 more

Maarten van Reeuwijk is a Professor of Urban Fluid Mechanics at the Department of Civil and Environmental Engineering, Faculty of Engineering at Imperial College London. He serves as Director of Research and teaches at both undergraduate and postgraduate levels. His research focuses on transport processes in urban environments, atmospheric convection, and turbulent flows, with applications to air quality, urban microclimate, and sustainable infrastructure. He leads a multidisciplinary research group involving Aeronautical, Civil, and Mechanical Engineering experts. Education: MSc in Civil and Environmental Engineering (Fluid Mechanics), Delft University of Technology (1995-2002) PhD in Applied Physics (Turbulent Thermal Convection), Delft University of Technology (2002-2007) Research Interests: Urban fluid mechanics, turbulence dynamics, green infrastructure impacts, microplastics behavior, cloud physics, and large-eddy simulation (LES). His work integrates computational modeling (e.g., uDALES software) with experimental data to address environmental challenges like urban heat islands and pollution dispersion. Awards & Recognition: None explicitly stated in the text. Advising & Grants: Supervises PhD/postdoc researchers in diverse engineering and physics backgrounds. Active in securing grants for urban sustainability projects and computational fluid dynamics research. Labs/Teams: Heads the Urban Fluid Mechanics group and collaborates with Imperial's Grantham Institute and Artificial Intelligence Network. Develops the uDALES LES model for urban flow simulations.

Saad MubeenView profile

Professor

• Embedded Systems
• Real-Time Communication
• Predictable Software Development
• +5 more

Saad Mubeen is a Full Professor of Computer Science at Mälardalen University, Sweden, affiliated with the School of Innovation, Design and Engineering and the Division of Networked and Embedded Systems. He holds a Master's in Electrical Engineering (Embedded Systems) and a PhD in Computer Science and Engineering from Mälardalen University (2014), with a Docent title (2018) focused on vehicular embedded systems. His research emphasizes predictable embedded systems, timing analysis for real-time communication, and component-based software design. Key areas include model-driven development for automotive systems, integration of TSN/5G networks, and fault-tolerant industrial architectures. He has led projects on end-to-end timing analysis in distributed systems, ROS 2 verification, and cognitive edge-cloud scheduling. Publications span 2021–2025, focusing on real-time systems, network protocols (TSN, AVB, 5G), and industrial automation. Notable work includes frameworks for TSN configuration, fault diagnosis tools using NETCONF, and scheduling algorithms for heterogeneous edge-cloud environments. His contributions address critical challenges in timing predictability, security, and resource optimization for cyber-physical systems. Education contributions include problem-based learning modules for vehicular software engineering. He is actively involved in bridging academia and industry through collaborative research on next-generation automotive and industrial systems.

Mara NikolaidouView profile

Professor

• Distributed Systems
• System Modeling
• Digital Libraries
• +9 more

Mara Nikolaidou is a Professor in the Department of Informatics and Telematics at Harokopio University of Athens since 2007 and has served as the university's Rector since 2016. She represents Greek universities in the European University Association (EUA) for 2023-2024. Her research focuses on distributed systems, system modeling, and responsible computing, with a strong emphasis on IoT, cloud/edge computing, and cyber-physical systems. She leads projects funded by national, EU, and international agencies, exploring topics like autonomous systems, ethical requirements in design, and human-in-the-loop systems. Her educational background includes roles as a computer engineer and IT consultant before academia. She is a member of IEEE (SMC Society and Systems Council) and participates in the Object Management Group (OMG) working groups for SysML and responsible computing. She organizes international conferences in software and systems engineering. Research interests span distributed systems, IoT, and ethical computing. Recent work investigates cost analysis in cloud markets, human-AI collaboration, and smart city technologies. Over 200 publications highlight her contributions to model-based systems engineering, including SysML extensions for cost/QoS analysis and frameworks for autonomous fog nodes. Grants and projects include EU-funded initiatives on smart farming, cloud brokerage, and organizational interoperability. Her lab focuses on autonomous systems and context-aware middleware. She advises on e-Government compliance frameworks and collaborates with industry partners on IoT management platforms.

• Distributed and Network Computing
• Big Data Analytics
• Cloud Computing
• +4 more

George Pallis is a Professor in the Department of Informatics at the University of Cyprus, affiliated with the School of Science. He holds a BSc and PhD from Aristotle University of Thessaloniki. His research focuses on Distributed and Network Computing, Big Data Analytics, and Cloud/Edge/Fog Computing. He leads the Master's Program in Data Science and has secured over €5.5M in research funding from the EU, Cyprus, and industry partners like Google. Education: BSc (2001), PhD (2006) from Aristotle University of Thessaloniki. Research Interests include Internet technologies, large-scale network environments, and cloud computing. He has published over 100 articles in top-tier journals and conferences (e.g., IEEE TKDE, ACM TOIT, WWW, ICDCS) and contributed to international standards (DIN, CEN). His work spans topics like fake news detection, edge computing frameworks, and energy-efficient micro-data centers. Key Achievements: Editor-in-Chief Emeritus of IEEE Internet Computing, recipient of multiple best paper awards, and contributor to projects like RAINBOW (H2020), UNICORN, and ICARUS. His research explores cutting-edge areas such as LLM manipulation, polarization detection, and carbon-aware computing. He has supervised five PhD students and served as General Chair for IEEE/ACM SEC 2024 and IEEE IC2E 2024. His work bridges academia and industry through collaborations on AI, IoT, and sustainable computing.