جستجوی استاد راهنمای دانشگاهی

Amirhosein Taherkordi is a Professor in the Networks and Distributed Systems group at the Department of Informatics, University of Oslo, Norway. His research focuses on resource-efficiency, scalability, adaptability, dependability, mobility and data-intensiveness of distributed systems for emerging computing technologies including Internet of Things (IoT), Fog/Edge/Cloud Computing, and Cyber-Physical Systems (CPS). Dr. Taherkordi received his Ph.D. from the Informatics Department at the University of Oslo under the supervision of Prof. Frank Eliassen, with his thesis titled "Programming Wireless Sensor Networks: From Static to Adaptive Models." He holds an M.Sc. in Information Technology Engineering (Software Engineering) from University of Science and Technology and a B.Sc. in Computer Engineering from Sharif University of Technology. His research spans multiple domains of distributed systems with emphasis on practical applications. He investigates energy efficiency in wireless sensor networks, communication optimization in IoT systems, and adaptive resource allocation in edge computing environments. His work addresses critical challenges in network traffic classification, federated learning for vehicular networks, and data processing across heterogeneous platforms. Analysis of his recent publications reveals a strong trajectory toward communication-efficient federated learning techniques for vehicular networks, energy-aware protocols for IoT data collection, and advanced machine learning approaches for network traffic analysis. His research consistently focuses on optimizing resource usage while maintaining system performance and privacy in distributed architectures. Dr. Taherkordi actively contributes to several research initiatives including the CPS Lab at UiO for Cyber Physical Systems, DILUTE: Fluid Service Abstraction for Large-Scale Cloud IoT Systems, and the Gemini Centre on IoT at UiO. His work bridges theoretical advances with practical implementations in transportation systems, environmental monitoring, and industrial automation.

• Internet of Things
• Fog Computing
• Edge Computing
• +۹ مورد دیگر

Dinsha Vinod is a Postdoctoral Researcher at the University of Agder, affiliated with the Department of Engineering Sciences. His research focuses on control systems, fog computing, and autonomous robotics, with a particular emphasis on integrating artificial intelligence and event-triggered control mechanisms. He has contributed to advancements in fog-cloud platforms for mobile robotics applications, model predictive control (MPC), and robust control design. Education details are not explicitly provided in the text, but his work spans academic and industrial collaborations. He is part of the Robotics and Automation research group at UiA. Key research areas include: Event-based control strategies for LPV systems Fog computing autoscaling with service guarantees MPC applications in mobile robotics Integration of AI inference into control systems Publications since 2017 reflect a trajectory from aerospace control systems to fog computing and robotics. Recent work emphasizes real-time systems and autonomous decision-making frameworks.

• Control Systems
• Artificial Intelligence
• Robotics
• +۳ مورد دیگر

David Palma is an Associate Professor at the Department of Information Security and Communication Technology , Faculty of Information Technology and Electrical Engineering , Norwegian University of Science and Technology (NTNU). His research focuses on next-generation networking paradigms, including intent-based networking , knowledge-driven management , and IoT device automation . Key research interests include: Human-centric Internet of Things (IoT) Ontology-based network management Cloud/Edge/Fog computing for IoT Arctic and satellite communication 5G integration in smart grids His recent publications (2024-2019) highlight trends in knowledge graphs for network compliance, XR applications in critical sectors, UAV-based emergency networks , and 5G-enabled smart grid protection . Articles also explore Arctic connectivity via satellite swarms and energy-efficient IoT management.

• Next Generation Internet
• Human-centric Networking
• Ontology and Knowledge-based Management
• +۱۳ مورد دیگر

Tor-Morten Grønli serves as Professor at the Department of Technology, School of Economics, Innovation and Technology, Kristiania University College (Norway). He is also a Visiting Research Scholar at Copenhagen Business School's Department of Information Technology Management and an affiliate of the Center of Business Data Analytics (cbsDBA). Education PhD in Computer Science from Brunel University, London (2011) Master of Technology (with distinction) from Brunel University, London (2007) Research Focus Grønli leads research in context-aware systems, mobile/pervasive computing, and Internet of Things (IoT). He founded/directs the Mobile Technology Lab at Kristiania and has co-authored 70+ publications. Core expertise includes: IoT architecture and applications Machine learning for transport systems Mobile computing frameworks Blockchain-security integration Edge-cloud computing paradigms Publication Trends Recent works (2023-2025) demonstrate strong focus on converging IoT, blockchain, and AI technologies, particularly for intelligent transport and healthcare systems. Dominant themes include federated learning implementations, privacy-preserving architectures, and sustainable edge computing solutions, with increasing emphasis on real-world applications in medical diagnostics and public infrastructure. Professional Activities Founder/Director of Mobile Technology Lab General Chair: Norwegian Conference on ICT Co-organizer: International Conference on Mobile Web Editorial Board: International Journal of Pervasive Computing, Journal of Online Information Review, Computers & Electrical Engineering TPC Member for IEEE BigData, Percom, HICSS, COMPSAC Guest Editor for special issues in Future Generation Computer Systems

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

Amir Taherkordi is a Professor in the Networks and Distributed Systems group at the Department of Informatics, University of Oslo, Norway. His research focuses on resource-efficiency, scalability, adaptability, and mobility in distributed systems for emerging technologies like IoT, Fog/Edge/Cloud Computing, and Cyber-Physical Systems (CPS). University: University of Oslo Department: Informatics Academic Rank: Professor His research spans IoT, Edge/Fog Computing, and Cyber-Physical Systems, emphasizing energy efficiency, privacy preservation, and self-adaptive architectures. Key areas include network traffic classification, computation offloading, and federated learning applications in vehicular systems. Recent publications highlight advances in latency-aware IoT data transmission , federated vehicular networks , energy-efficient wireless charging , and privacy-preserving data integration . These works often integrate machine learning with network optimization. Projects include the CPS Lab at UiO, DILUTE (Fluid Service Abstraction), and the Gemini Centre on IoT . He collaborates on initiatives like PACE for energy informatics curricula development.

• Internet of Things (IoT)
• Fog Computing
• Edge Computing
• +۱۶ مورد دیگر

Amirhosein Taherkordi is an Associate Professor at the Department of Information Security and Communication Technology within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). His academic profile shows continuous research activity with publications spanning from 2011 through 2025, indicating an established career trajectory in computer science and networking research. Dr. Taherkordi's research interests focus on addressing fundamental challenges in distributed computing environments, particularly in resource-constrained scenarios. His work spans Internet of Things (IoT) systems, edge and fog computing architectures, network security protocols, and machine learning applications for network traffic analysis. He has made significant contributions to energy-efficient data collection protocols for wireless sensor networks, privacy-preserving techniques for industrial IoT systems, and communication-efficient approaches for federated learning in vehicular networks. His research consistently bridges theoretical innovation with practical implementation, addressing real-world challenges in smart transportation, environmental monitoring, and industrial automation systems. An analysis of Dr. Taherkordi's recent publication trends (2023-2025) reveals a strong emphasis on federated learning applications for vehicular networks (FedAGL, FedAPT), energy-efficient IoT data collection strategies (eU2U, ECMSH), and the integration of transfer learning with edge computing for transportation applications (TELEGAIT, FOGFLEET). His work increasingly addresses the critical tension between computational efficiency and accuracy in distributed systems, with growing applications in environmental monitoring (PmForecast) and circular economy frameworks. The interdisciplinary nature of his research spans computer science, electrical engineering, and environmental science domains. Dr. Taherkordi maintains an active collaborative research profile, working with international colleagues across multiple institutions as evidenced by his diverse publication venues including IEEE Transactions, ACM journals, and various conference proceedings. His research program appears to be well-established with consistent funding, though specific grant details aren't provided in the available text. He likely leads or contributes significantly to research groups focused on networking, IoT, and edge computing at NTNU, mentoring students in these emerging technology domains.

• Internet of Things (IoT)
• Edge and Fog Computing
• Network Security
• +۶ مورد دیگر

Roman Vitenberg is a Professor at the Department of Informatics, University of Oslo. His research focuses on distributed systems, blockchain, privacy, and middleware. He leads the Blockchain Lab, which runs Norway's production node in the EBSI network. Key contributions include work on fault-tolerant overlays, privacy-preserving frameworks for genomic data, and blockchain applications in healthcare. He teaches courses on distributed systems and blockchain technologies. Education: Ph.D. from Technion (Israel Institute of Technology), M.Sc. from Hebrew University of Jerusalem. Previous roles include postdoc at UC Santa Barbara and researcher at IBM. Research Interests: Distributed algorithms, blockchain systems, cloud/fog computing, dependability, and privacy-preserving techniques. Awards: Best Demo Award at ACM DEBS 2014, Best Paper Award at ACM DEBS 2016, Most Influential Paper Award (2007 paper recognized in 2017). Grants & Projects: PriTEM (privacy-preserving energy management), Conserns, Credence, and EBSI-NE (operating Norway's EBSI node). Advising: Supervised over 10 PhD and master students, including notable alumni at Spotify and Max-Planck Institute. Publications: Over 100 peer-reviewed articles in top venues like IEEE Transactions, ACM conferences, and blockchain-focused journals.

• Distributed Systems
• Blockchain Technology
• Privacy-Preserving Systems
• +۶ مورد دیگر

Hadi Zahmatkesh is an Associate Professor at the Department of Mechanical, Electrical and Chemical Engineering, Faculty of Technology, Art and Design, Oslo Metropolitan University. His research focuses on IoT technologies, wireless sensor networks, and AI applications in sustainable urban systems. Recent research trends in his work include: Forensic analysis of social IoT networks AI-driven UAV communication systems Fog computing for smart cities WSN applications in cultural heritage preservation His publications from 2020 demonstrate expertise in blending IoT technologies with environmental sustainability and security frameworks.

• Internet of Things (IoT)
• Wireless Sensor Networks
• Artificial Intelligence
• +۳ مورد دیگر

Frank Eliassen is an Emeritus Professor at the University of Oslo's Department of Informatics, specializing in distributed systems and energy informatics. His research spans middleware, IoT, fog computing, and cyber-physical systems with applications in sustainable energy solutions. Research interests focus on: Distributed systems architecture Adaptive peer-to-peer networks Energy-efficient computing Smart grid technologies Cyber-physical system security Publications demonstrate consistent focus on energy informatics, distributed computing security, and renewable energy integration, with recent work exploring AI/ML applications in energy systems. Leads multiple research initiatives including LUCS, AirQMan CPS Lab, DILUTE, and SmartNEM projects addressing smart grid development and IoT systems.

• Distributed systems
• Middleware
• Self-adaptive software systems
• +۵ مورد دیگر

Chhagan Lal is a Postdoctoral Fellow at the Department of Information Security and Communication Technology, Norwegian University of Science and Technology (NTNU), Norway. He is part of the Critical Infrastructure Security and Resilience (CISaR) group and currently contributes to the EU-funded CYBERUNITY project. Certified in CISSP, CCSP, and Microsoft Azure Security (SC-100/200/300, AZ-500), he specializes in cybersecurity frameworks, compliance, risk assessment, threat intelligence, and machine learning applications. His research focuses on advancing security and resilience in critical infrastructure, particularly in network and cloud security technologies. Key areas include Internet of Things (IoT) and Industry 4.0, Cyber-Physical Systems (CPS), Software Defined Networking (SDN), Information Centric Networking (ICN), and blockchain technologies for smart contracts. He has also worked on secure communication protocols for underwater acoustic networks and mobile ad-hoc networks (MANETs). Chhagan has been actively involved in multiple EU projects, including H2020-SU-SEC-2018 (LOCARD), H2020-ICT30-2015 (TagItSmart!), and EU-India collaborations (REACH). His professional activities include serving as a journal reviewer for IEEE Transactions and Elsevier publications, Program Chair for ACM WiSec 2017, and Publicity Chair for ACNS 2020 and related conferences. He has also contributed as a Program Committee Member to several cybersecurity-focused events. His work emphasizes secure solutions for MANETs, VANETs, and industrial IoT systems, including projects like CENSOR (Cloud Enabled Secure IoT Architecture over SDN) and blockchain-based frameworks such as LEChain. Chhagan has authored book chapters on topics like secure machine-to-machine communication and vehicular cloud computing. No scientific awards are explicitly mentioned in the provided texts. His research spans theoretical and practical cybersecurity challenges, with a focus on developing robust countermeasures against DDoS attacks, enhancing QoS in multimedia networks, and privacy-preserving mechanisms in vehicular and industrial systems.

• Cybersecurity
• Network Security
• Cloud Security
• +۸ مورد دیگر

Marius Geitle is an Assistant Professor at the Department of Computer Science and Communication , Østfold University College, Halden. His academic interests include Machine Learning , Evolutionary Optimization , and Automatic Programming . His research focuses on advancing machine learning techniques, particularly in dimensionality reduction , hyperparameter optimization , and node evaluation models for IoT-Mist networks . He utilizes methods like deep ensemble transformers , XGBoost , and evolutionary algorithms to address challenges in computational efficiency and data-driven learning. Recent publications highlight trends in automated programming and fog computing , with keywords spanning Machine Learning , Internet of Things , and Big Data . He coordinates the course ITL25019: Big Data: Storage and Processing and supervises master's theses and project assignments in machine learning. He serves as chairman of Future Then AS and collaborates on projects related to the digital society . His work is affiliated with the Machine Learning research group at Østfold University College.

• Machine Learning
• Evolutionary Optimization
• Automatic Programming
• +۲ مورد دیگر

Tor-Morten Grønli serves as Associate Professor in Digital Innovation at the University of Oslo's Department of Informatics (IFI), holding a PhD in Computer Science from Brunel University, London. His research bridges theoretical computer science with practical applications in intelligent systems. Specializing in Internet of Things, machine learning, and software architecture , his work demonstrates particular expertise in transport systems and healthcare applications. Recent publications reveal a strong focus on blockchain integration, federated learning for edge networks, and mobile sensor applications - with notable contributions to public transport optimization and medical IoT security. His 15 most recent articles (2023-2025) show consistent publication in high-impact venues including IEEE Transactions and Springer conference proceedings, with recurring themes of secure distributed systems and intelligent transport solutions . Collaborations span international institutions with frequent co-authorship patterns indicating stable research partnerships. Contact information is maintained through the university's standard email format ( tormor@ifi.uio.no ), reflecting active institutional affiliation. No specific research grants or laboratory facilities are detailed in the provided materials, though the publication record suggests ongoing funded research activity.

• Internet of Things
• Machine Learning
• Software Architecture
• +۴ مورد دیگر

Rituka Jaiswal is an Associate Professor at NTNU's Department of ICT and Natural Sciences, specializing in smart grid security and optimization. Her research develops AI methods for anomaly detection in smart meters and optimal wind farm collector design using novel Steiner tree approaches. She teaches courses on operating systems, mobile applications, and machine learning. Current work explores fog computing architectures for real-time grid analysis. Dr. Jaiswal's publications appear in IEEE and ACM venues, with recent focus on human sovereignty in digital systems.

• Smart Grids
• Artificial Intelligence
• Wind Farm Integration
• +۱ مورد دیگر

Baltasar Enrique Beferull Lozano is a tenured Professor at the University of Agder , leading the Center Intelligent Signal Processing and Wireless Networks (WISENET) since 2015. With a PhD in Electrical Engineering from USC (2002) and prior roles at EPFL, AT&T Shannon Labs, and University of Valencia, his career spans 20+ years of academic and industrial research in signal processing, wireless systems, and AI. Education: PhD (USC), MSc (USC), MSc (University of Valencia) Expertise: Data Science, Machine Learning, Graph Signal Processing, Cyber-Physical Systems His research focuses on AI-driven wireless networks and in-network collective intelligence , addressing fundamental and applied challenges in smart water systems , energy management , and next-gen 5G/6G . He has secured 20+ international projects including 10 EU-funded initiatives (HYDROBIONETS, SENDORA) and 5 RCN-funded projects. Recent publications emphasize dynamic graph learning from time series data, quantized graph filters , and multi-agent reinforcement learning for networked environments. Awards include IEEE Best Paper Awards (2012, 2021), TOPPFORSK Grant (2015), and Ramón y Cajal Program Rank #1 (2005). As a Senior IEEE Member , he serves as Area Editor for IEEE Transactions on Signal Processing and evaluates research proposals for the European Commission , NSF , and Qatar National Research Fund . His lab has produced 15 PhD graduates and collaborates with 12+ industry partners including Telenor, IBM, and SINTEF.

• Data Science
• Machine Learning
• Signal Processing
• +۳ مورد دیگر

Paulo Ferreira is a Professor in the Department of Informatics at the University of Oslo's Faculty of Mathematics and Natural Sciences. He specializes in programming technology with a focus on distributed systems, mobile computing, and fog/cloud computing. His research interests include: Distributed systems and programming of mobile devices Concurrency, parallelism, and replication Fog and cloud computing architectures Software security and adaptability Algorithms for garbage collection Professor Ferreira teaches "Programming Ubiquitous Things" (IN5600) in Spring and "Fog and Cloud Computing" (IN5700) in Autumn. His recent publications show a strong focus on transport mode detection using edge and fog computing, garbage collection optimization, and mobile application development. His work demonstrates trends toward more efficient resource utilization in distributed environments, particularly in mobile and edge contexts. He has received numerous awards including: Best Prize for Master Thesis supervision (Norsk Regnesentrals pris, Dec. 2023) Two Best Paper Awards at the ACM/IFIP/Usenix Middleware Conference Recognition of Service Award from ACM "Excellent teaching" awards at the University of Lisbon (2010/2011 and 2013/14) Professor Ferreira currently supervises PhD students Mahdieh Kamalian (transport mode detection) and Lyla Naghipour Vijouyeh (fog emulator development). He has led more than 15 research projects, served as an expert for the European Union for assessment of projects proposals under the 7th Framework Program, and serves on various program committees (e.g. Middleware, ICDCS, DAIS, etc.). He is a senior member of ACM and IEEE, serves on the editorial board of the Springer Journal of Internet Services and Applications, and is a member of the Steering Committee of EuroSys (ACM European Chapter of the Special Interest Group on Operating Systems).

• distributed systems
• programming of mobile devices
• concurrency / parallelism / replication
• +۴ مورد دیگر