جست‌وجوی استاد و پژوهشگر

• 5G and 6G
• Network services chain
• SDN
• +۷ مورد دیگر

Jordi Mongay Batalla serves as Associate Professor in the Department of Computer Network and Services at Warsaw University of Technology's Faculty of Electronics and Information Technology, while concurrently holding the position of Deputy Director of Research at Poland's National Institute of Telecommunications. His professional influence extends to critical national and international advisory roles including technical membership in the European Blockchain Services Infrastructure, Polish Government adviser for 5G cybersecurity legislation, and technical adviser to the Ministry of Infrastructure for autonomous automotive systems. M.Sc. in Telecommunications Engineering (2000, Universitat Politecnica de Valencia) Ph.D. in Telecommunications (2009, Warsaw University of Technology) Habilitation in Telecommunications (2017, Warsaw University of Technology) His research program centers on next-generation network technologies with dual focus on infrastructure (5G/6G radio systems, O-RAN architectures, SDN/NFV) and applications (IoT ecosystems, Smart Cities, multimedia services). Recent work demonstrates expanding interdisciplinary reach into human-centric domains including metaverse applications for elderly populations and psychological aspects of technology adoption, reflecting his completion of postgraduate studies in psychology and social sciences. Methodologically, he integrates artificial intelligence techniques across wireless networking domains with particular emphasis on security and reliability. Analysis of recent publications (2023-2025) reveals three dominant research trajectories: (1) O-RAN optimization through machine learning-enhanced beamforming and security validation, (2) resilient UAV network architectures for disaster scenarios featuring novel clustering algorithms, and (3) IoT-cloud integration for healthcare and smart city applications. His work consistently addresses practical implementation challenges while maintaining strong connections to standardization efforts through ITU-T SG-12 and European regulatory frameworks. Dr. Mongay Batalla leads the Next Generation Mobile Networks Team at Warsaw University of Technology and has coordinated over 30 national/international research projects including four EU ICT Programme initiatives. His technology transfer activities span two patents (Polish and European) and active participation in the vINCI platform for clinically-validated assisted living solutions. As an IEEE Member since 2010, he maintains strong industry connections through roles in Polish normalization committees and international technical groups.

• Railway Systems
• Vehicle Mechatronics
• Traffic Control
• +۳ مورد دیگر

Gyenes Károly is an Associate Professor at the Budapest University of Technology and Economics within the Department of Control for Transportation and Vehicle Systems. He also serves as Vice Dean and has a career spanning over five decades in transportation engineering, railway systems, and vehicle mechatronics. Languages: English, German Education: Electrical Engineering M.Sc. (1968), Ph.D. (2000), and multiple specialized diplomas Research Focus: Fail-safe railway interlocking systems, intelligent vehicle tracking (GPS/WiFi), microcontroller applications in traffic control, and secure data transmission protocols. His work bridges computer science with transportation engineering to enhance safety and automation. Key Publications Trends: Focus on railway automation, data transmission security, and microcontroller-based solutions. Articles span from 1975 to 2000, highlighting innovations in metro modernization, CRC error analysis, and remote control protocols. Scientific Awards: Minister of Education Award Educational Contributions: Taught courses in Computing, Computer Hardware, and Electronics at both undergraduate and postgraduate levels. Authored textbooks on programming and railway safety systems. Collaborations: Long-term involvement with Siemens, HungaroControl, and Robert Bosch in industrial projects. Key role in EU-funded research initiatives like the Tempus Project.

Peter Danielisمشاهده پروفایل

استاد

• Parallel Systems
• Distributed Computing
• Time-Sensitive Networking
• +۴ مورد دیگر

Prof. Dr.-Ing. habil. Peter Danielis holds an Extraordinary Professorship in Parallel Systems at the Institute of Computer Science, University of Rostock. His research focuses on parallel and distributed systems with applications in time-sensitive networking, autonomous underwater vehicles, and industrial IoT. He serves as Deputy Director of the Institute of Computer Science (IFI) and participates in editorial boards for multiple conferences and journals. His primary research interests span Parallel Systems , Distributed Computing , and Time-Sensitive Networking , with significant contributions to mobile opportunistic networks and real-time communication in industrial settings. Current projects include cooperative navigation of autonomous underwater vehicles (AUVs) and distributed communication networks for IoT applications. His work bridges theoretical research with industrial implementation, particularly in deterministic networking for critical infrastructure. Analysis of his recent publications (2020-2025) reveals strong emphasis on Time-Sensitive Networking (TSN) for industrial automation, with 7 of 15 recent papers directly addressing TSN scheduling, reliability, and traffic management. Secondary focus areas include Autonomous Underwater Vehicle coordination (3 papers) and Mobile Opportunistic Networks for urban sensing. His methodology combines simulation, protocol design, and real-world validation. Professional affiliations include membership in the Institute of Electrical and Electronics Engineers (IEEE). He serves as TPC member and editorial board member for various conferences and journals. His teaching portfolio covers High Performance Computing, Operating Systems, and Complex Software Systems. As Deputy Director of the Institute of Computer Science, he oversees academic operations while maintaining active research leadership. His laboratory work focuses on real-time communication systems and underwater vehicle networks, utilizing simulation frameworks like OMNeT++ for protocol validation. Current research directions include adaptive TSN scheduling and cooperative AUV navigation in dynamic environments.

Simon Burtonمشاهده پروفایل

استاد

• Systems Safety Engineering
• Artificial Intelligence
• Autonomous Systems
• +۳ مورد دیگر

Professor Simon Burton holds the Chair in Systems Safety at the Department of Computer Science, University of York. He also serves as Business Lead for the Centre for Assuring Autonomy, focusing on interdisciplinary safety assurance for AI-based systems. Chair in Systems Safety, University of York Business Lead, Centre for Assuring Autonomy Convenor, ISO TC22/SC32/WG14 (Safety and AI for road vehicles) His research investigates systems safety engineering at the intersection of AI, legal/ethical considerations, and regulatory frameworks. Key questions include defining application-specific safety thresholds, engineering autonomous systems using AI and safety analysis, and constructing evidence-based safety arguments with residual uncertainty modeling. He leads ISO standardization efforts including the ISO PAS 8800 Road vehicles - Safety and artificial intelligence standard. His career spans industry roles at DaimlerChrysler, Bosch, and Fraunhofer Institute before returning to academia. He works with the High Integrity Systems Engineering Group and maintains off-campus office arrangements.

• Power Systems
• High Voltage Engineering
• HVDC Transmission
• +۳ مورد دیگر

Paolo Molfino serves as an Adjunct Professor in the Department of Naval, Electrical, Electronic and Telecommunications Engineering at the University of Genoa, teaching Electrotechnics (course code 66015) for the Naval Engineering undergraduate program during academic years 2024-2025 and 2025-2026. His research centers on High Voltage Direct Current (HVDC) transmission systems with specialized focus on sea return electrode technology. Key investigation areas include: Design and material science for reversible HVDC sea electrodes Mitigation of electromagnetic interference on underground power infrastructure Electromagnetic field measurement methodologies in marine environments Environmental impact assessment of electrode systems Reliability engineering for long-term electrode deployment Cost-benefit analysis of electrode type selection Publications from 2019-2023 reveal a concentrated research trajectory addressing critical challenges in marine-based HVDC electrode systems, emphasizing material durability, interference reduction, and precision monitoring to enhance grid stability and environmental compatibility in coastal power transmission networks.

Benjamin Lussierمشاهده پروفایل

استاد پژوهشی

• Fault Tolerance
• Dependability
• Robotic Architecture
• +۱ مورد دیگر

Benjamin Lussier serves as a Research Professor at the Technological University of Compiègne (UTC), affiliated with the Heudiasyc UMR CNRS 6599 research laboratory. His academic work is centered at UTC, BP 20529 60205 COMPIEGNE, where he contributes to both research and teaching activities within the institution's technical programs. Professor Lussier's research interests span critical areas in computer science and engineering, with primary focus on Fault Tolerance and Dependability as well as Robotic Architecture and Systems . His work addresses fundamental challenges in system reliability and autonomous robotic systems design, with applications in critical infrastructure and cooperative drone technologies. His teaching portfolio includes Databases (NF17) and IT Project Management (LO23) , courses that align with his research expertise in system architecture and management. Notable research projects he has led include the Airmes project (2016-2019), which developed a flotilla of cooperative drones in collaboration with industry partners like Scalian, Aerosurveillance, EDF, and SNCF, and the IMOFIS project (2009-2011), which established security requirements for critical systems design with partners including Alstom, Renault, and CEA. Professor Lussier maintains active research collaborations with both academic and industrial partners, as evidenced by his involvement in multi-organization research initiatives. His contact information includes telephone number 03 44 23 79 82 and email benjamin.lussier@hds.utc.fr.

Esra Dinlerمشاهده پروفایل

استادیار

• Operations Research
• Supply Chain Management
• Modeling and Optimization
• +۵ مورد دیگر

Dr. Esra Dinler serves as an Assistant Professor in the Department of Industrial Engineering at Baskent University's Faculty of Engineering, where she teaches Production Planning, Operations Research, and Supply Chain Management courses. With a PhD from Gazi University (2015) and prior degrees from Baskent University, she maintains an active research profile with 15 journal articles, 17 conference papers, and 4 book chapters through 2025. Education PhD in Industrial Engineering, Gazi University, 2015 MSc in Industrial Engineering, Baskent University, 2007 BSc in Industrial Engineering, Baskent University, 2005 Research Focus Her work centers on Operations Research and Supply Chain Management , specializing in ergonomic job rotation for automotive assembly lines, fuzzy logic applications in defense project risk management, and combinatorial optimization for travel routing problems. She integrates multi-objective mathematical modeling with real-world industrial case studies, particularly addressing challenges in bearing manufacturing, fighter aircraft development, and hazardous material recycling. Publication Trends Recent publications (2023-2025) demonstrate increasing emphasis on intuitionistic fuzzy sets for decision-making under uncertainty and selective clustered traveling salesman problem variants. Her research bridges theoretical optimization techniques with practical applications in defense projects (e.g., obsolescence risk management) and sustainable operations, showing strong interdisciplinary collaboration across engineering domains. Academic Contributions Dr. Dinler's teaching portfolio includes END 434 (Production Planning), SOS 222 (Operations Research), and specialized courses in supply chain management. Her office hours and structured course schedule reflect dedicated student engagement, though no formal advisee lists or grant details appear in the source materials. With an h-index of 3, her scholarly impact focuses on translating complex optimization models into actionable industrial solutions.

Anthony Halogمشاهده پروفایل

مدرس

• Circular Economy
• Life Cycle Assessment
• Green Hydrogen
• +۷ مورد دیگر

Dr. Anthony Halog is a Lecturer at the School of the Environment, Faculty of Science, The University of Queensland, with over 130 scholarly outputs. His work spans Circular Economy , Life Cycle Assessment , Green Hydrogen , and AI for Sustainability , advancing UN Sustainable Development Goals (SDGs) through interdisciplinary research. Education: Bachelor of Science (University of Mindanao), Masters in Engineering (Asian Institute of Technology), MBA (Monash University), Doctoral Diploma (Karlsruher Institut für Technologie) His research focuses on digitalisation-enabled sustainable systems , including circular bioeconomy, green hydrogen production from agricultural waste, and AI-driven life cycle assessment. Key methodologies include system dynamics , material flow analysis , and environmental impact modeling . Recent publications (2024-2016) address renewable energy policy , construction waste management , biofuel sustainability , and urban resource systems . Articles highlight trends in climate change mitigation , bioeconomy transitions , and green supply chain innovation , with keywords spanning Environmental Science , Industrial Ecology , and Policy Analysis . Scientific Awards: Fellowships from OECD, DAAD, JSPS, and NREL UQ Travel Award (2015) Dr. Halog supervises HDR and EMCR researchers in projects related to bioeconomy , urban sustainability , and critical mineral value chains . He has secured funding from ARC LIEF and other grants for industrial ecology and renewable energy initiatives.

Alexandru Palerمشاهده پروفایل

دانشیار

• Quantum Computing
• Quantum Software
• Quantum Circuit Compilation
• +۲ مورد دیگر

Alexandru Paler serves as an Associate Professor in the Department of Computer Science at Aalto University, Finland, where he leads research in quantum software development. His work focuses on designing compilers and optimization frameworks for quantum circuits, with emphasis on quantum error correction implementation and fault-tolerant quantum computing systems. Based in Espoo at Konemiehentie 2, he maintains active research collaborations through the university's quantum computing initiatives. Dr. Paler's research spans quantum circuit compilation, quantum error correction (particularly surface codes and QLDPC codes), and quantum software optimization. His team develops high-performance quantum compilers for neutral atom architectures and modular superconducting systems, addressing critical challenges in resource estimation and fault tolerance. The Quantum Operating Systems (QUANTUM) research group he contributes to explores scalable quantum software frameworks that bridge theoretical algorithms with practical hardware constraints, with significant work on graph-state compilation and reinforcement learning for circuit optimization. Analysis of his 15 most recent publications (2023-2025) reveals concentrated efforts in quantum compiler design, error correction scalability, and hardware-aware quantum software. Key trends include machine learning applications for decoder optimization, novel approaches to measurement-free error correction, and queuing theory models for fault-tolerant circuit analysis. His work consistently addresses the practical barriers to large-scale quantum computing through compiler innovations and resource-efficient circuit design. Dr. Paler actively participates in the Quantum Operating Systems (QUANTUM) research group within Aalto's Department of Computer Science, focusing on Algorithms and Theoretical Computer Science. This team develops quantum software infrastructure for next-generation quantum hardware, with current projects including Pandora (ultra-large-scale circuit compilation), quantum circuit caching mechanisms, and standardized cell approaches for neutral atom systems. Their research directly supports the transition from theoretical quantum algorithms to executable, error-resilient quantum programs.

• Computer Science
• Wireless Sensor Networks
• Software Technologies
• +۹ مورد دیگر

Edison Pignaton De Freitas is a Professor at the School of Information Technology , Halmstad University. His research focuses on wireless sensor networks and software technologies, particularly in applications involving UAVs and intelligent transportation systems. Research areas include machine learning for energy systems, vehicular network safety protocols, and software-defined networking Recent publications emphasize intelligent infrastructure models (2025), UAV base station positioning (2025), and SDN-based FANET emulation (2025) Key contributions span multiple domains: Scientific Focus: - Machine learning applications in photovoltaic systems and transportation networks - UAV communication optimization and swarm intelligence algorithms - Energy-efficient sensor network design for healthcare and military surveillance - Advanced antenna array positioning methods for vehicular scenarios

• Orthopaedic Emergencies
• Medical Education
• Healthcare Technology
• +۳ مورد دیگر

Michael C. Bond, MD is a Professor of Emergency Medicine at the University of Maryland School of Medicine with administrative roles including Associate Designated Institutional Official and Director of Multimedia & Virtual Education. He maintains clinical practice at the University of Maryland Medical Center's Emergency Department and previously served as Residency Program Director until 2020. Board certified in both Emergency Medicine and Internal Medicine, he holds fellowships with the American College of Emergency Physicians (FACEP) and American Academy of Emergency Medicine (FAAEM). Dr. Bond's research focuses on: Orthopedic emergencies and high-risk injury management Technology integration in healthcare delivery Medical education reform and residency training Faculty development and educational methodologies His work emphasizes using technology to enhance clinical decision support, patient access to health information, and participatory care models. Publication analysis reveals three dominant themes across recent works: 1) Emergency medicine education systems (residency match processes, standardized evaluations), 2) Orthopedic emergency management (risk mitigation, surgical decision-making), and 3) Technology applications in clinical care (imaging diagnostics, virtual education). His scholarship consistently addresses practical improvements in training paradigms and emergency care delivery. Honors include: Fellow of the American College of Emergency Physicians Fellow of the American Academy of Emergency Medicine Emergency Medicine Foundation Teaching Fellowship Dr. Bond has developed significant educational infrastructure including departmental web portals and Epic EMR implementations. His leadership extends to multimedia education initiatives and institutional accreditation functions. While no active grants or laboratory affiliations are detailed, his administrative roles indicate substantial operational responsibilities.

Avinash Unnikrishnanمشاهده پروفایل

استاد

• Smart Urban Network Mobility Optimization
• Freight and Logistics
• Resilient Network Infrastructure Systems
• +۲ مورد دیگر

Dr. Avinash Unnikrishnan serves as the Wedge Vision Professor of Civil and Environmental Engineering within the Maseeh College of Engineering & Computer Science at Portland State University, where his research develops mathematical models to enhance civil infrastructure resilience through large-scale optimization, machine learning, and simulation tools with innovations in network uncertainty representation and user behavior analysis. His research interests focus on critical transportation and infrastructure domains: Smart Urban Network Mobility Optimization Freight and Logistics Resilient Network Infrastructure Systems Human Health, Infrastructure Resilience and Extreme Events Pedagogy Professionally, he chairs the Transit, Freight, and Logistics Subcommittee (AEP40(1)) of the Transportation Research Board's Transportation Network Modeling Committee and serves on the American Society of Civil Engineers' Freight and Logistics Committee. His teaching portfolio includes undergraduate and graduate courses such as CE 351 Introduction to Transportation Engineering, CE 410 Applied Probability & Statistics in CEE, CE 414/514 Transportation Seminar, and advanced topics in Transportation Network Analysis, Computer Methods, and Reliability & Risk in Civil Engineering.

• Industrial IoT
• Wireless Communications
• Smart Grid
• +۵ مورد دیگر

Dr. Sarder Fakhrul Abedin serves as Senior Lecturer in Computer Engineering at Mid Sweden University's Department of Computer and Electrical Engineering since 2021. His research bridges industrial IoT, wireless communications, and AI-driven network optimization with significant contributions to 5G industrial applications and smart grid systems. His educational background includes a B.S. in Computer Science from Kristianstad University (2013) and a Ph.D. in Computer Engineering from Kyung Hee University (2020). During his doctoral studies, he received the President scholarship and conducted research funded by BK21+ and South Korea's Ministry of Science ICT. Research focuses on industrial IoT implementation , 5G network slicing , and AI-driven resource allocation , particularly through deep reinforcement learning and game theory approaches. His work addresses critical challenges in O-RAN architecture, UAV navigation, and edge computing within industrial contexts, with strong emphasis on energy efficiency and reliability. Recent publication trends (2020-2024) reveal increasing focus on 5G industrial deployment (Factory 5G framework), trustworthy AI systems (XAI for intrusion detection), and sustainable network architectures (digital twins for zero-touch management). His collaborative research spans smart transportation, forestry teleoperation, and NOMA-based transmission schemes. President scholarship recipient at Kyung Hee University STINT initiation grant recipient BK21+ and Ministry of Science ICT research funding U.S. Patent No. 10,901,388 for energy demand modeling Korean Patent 1015740260000 for IoT fog networks As Principal Investigator, he has secured multiple research grants including BK21+ projects and Ministry of Science ICT funding. His postdoctoral work at MIUN included STINT-funded initiatives, while current projects focus on sustainable 5G deployments and industrial digital twins. He actively collaborates with industry partners through MIUN's STC Research Centre.

• Control Systems
• Machine Learning
• Networked Systems
• +۳ مورد دیگر

Siva Seetharaman is an Assistant Professor in the Department of Industrial Engineering at Purdue University's College of Engineering, joining the faculty in 2022. His research bridges control theory, machine learning, and networked systems with critical applications in energy infrastructure and transportation electrification. Affiliated with Purdue's top-ranked engineering programs, he focuses on safety-critical control solutions for real-world cyber-physical challenges. His educational trajectory includes a Ph.D. in Electrical Engineering from the University of Notre Dame, followed by postdoctoral research at Texas A&M University. This foundation supports his interdisciplinary approach to complex system dynamics. Dr. Seetharaman's research centers on risk-aware control synthesis for safety-critical systems, with three core thrusts: (1) Developing risk-tunable control barrier functions for human-robot collaboration and autonomous systems; (2) Creating data-driven energy management frameworks for virtual power plants and grid reliability; (3) Advancing distributed learning methods for stability assessment in large-scale networked systems. His work uniquely integrates formal verification techniques with machine learning to address nonlinear dynamics in transportation electrification and decarbonized energy grids. Analysis of his 15 most recent publications (2021–2025) reveals a decisive shift toward causal safety engineering —evident in risk-tunable control barrier functions and sampling-based safe reinforcement learning—and energy-transportation convergence , particularly in electric roadway charging and heavy-duty vehicle grid impacts. Key technical trends include compositional verification of neural networks (ECLipsE), multi-scale energy datasets, and dissipativity-based modeling for nonlinear systems. His work consistently targets real-world deployment challenges in Texas grid case studies and transportation networks. No scientific awards were documented in the provided materials. No student advisement records or grant funding details were included in the source texts. His collaborative publication pattern suggests engagement with interdisciplinary teams across control theory, machine learning, and power systems domains, though specific mentoring activities remain unreported. While no dedicated laboratory is specified, his research on cyber-physical systems, electric roadways, and grid-transportation integration implies active participation in Purdue's energy and transportation research ecosystems. His focus on synthetic Texas case studies indicates strong ties to regional energy infrastructure initiatives.

• Safety systems
• Safety functions
• Instrumentation engineering
• +۷ مورد دیگر

Tor Onshus is a Professor of Instrumentation Engineering at the Department of Technical Cybernetics, Norwegian University of Science and Technology (NTNU). He has held this position since 1987 and has also served as department chair and briefly as dean of the faculty. His expertise lies in safety systems and safety functions, with extensive experience in the petroleum industry's safety applications both offshore and onshore. Onshus maintains strong connections with industry through his advisory role at SINTEF and collaborative research projects. His educational background includes: Master of Science in Technical Cybernetics from NTNU PhD in Technical Cybernetics from NTNU Professor Onshus specializes in technical safety, particularly focusing on verification and assessment of safety functions in the oil and gas industry. His research spans safety systems on the seabed, platform solutions, drilling operations, hoists, flare loads, and HIPPS functions. He has been instrumental in developing industry guidelines, notably OLF-070 for implementing IEC61508/11 standards offshore in Norway. His work extends to machine safety standards development, ICT security in petroleum systems, and digitalization challenges in the energy sector. Onshus has established PDS, a forum that brings together industry, government, and research experts to discuss security solutions. His recent publications demonstrate a clear trajectory toward addressing the intersection of digitalization, cybersecurity, and process safety in the petroleum industry. The research shows increasing focus on ICT security frameworks, data quality in digital transformation, and the integration of IT and OT systems while maintaining safety integrity. His work consistently addresses practical industry challenges while contributing to regulatory development and standardization. Onshus has received significant recognition for his contributions: IFEA's highest award (2002) for committee contributions and speaking NFA's honorary award (2005) As an educator, Onshus integrates his extensive industry experience into teaching by inviting guest lecturers and designing relevant projects. He has trained over 500 professionals through technical safety courses since 2004. His advisory work extends to SINTEF, where he collaborates on numerous R&D projects. Onshus has served on the NFA board (1998-2004) and as a member of the NFA Expert Panel (2001-2004). He has also contributed as an expert witness in court cases and participated in investigating major incidents including the Åsta train accident in 2000. Through the PDS forum, which he helped establish over 20 years ago, Onshus has fostered a collaborative environment where experts from industry, government, and research meet twice yearly to exchange experiences on security solutions. His leadership in preparing the OLF-070 guideline has positioned him as a key figure in technical safety training within the Norwegian petroleum sector.