جست‌وجوی استاد و پژوهشگر

• Internet of Things
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Arslan Musaddiq serves as a Senior Lecturer in the Department of Computer Science and Media Technology at Linnaeus University's Faculty of Technology, Sweden. His expertise spans Internet of Things, machine learning, artificial intelligence, embedded systems, and wireless communication technologies, with a strong focus on practical applications for industry. Dr. Musaddiq holds a PhD in Information and Communication Engineering from Yeungnam University, South Korea (2021), where his research focused on applying reinforcement learning techniques to enhance IoT-based wireless communication systems. He also earned a Master's degree in Communications and Network Engineering from University Putra Malaysia (2015). His research interests concentrate on developing data-driven solutions tailored for small and medium-sized enterprises in the Linnaeus region. Dr. Musaddiq teaches courses including Computer Networks, Embedded Systems, and multiple IoT-related subjects at both bachelor's and master's levels. Dr. Musaddiq actively participates in several research initiatives including HPC for SME, IoT lab for SME 2.0, and the DigIT project, all aimed at helping companies enhance their operations through AI, IoT, and data analytics. His publication record shows a consistent focus on practical IoT applications across energy systems, transportation, environmental conservation, and healthcare sectors. Previously, he served as a Postdoctoral Research Fellow at Linnaeus University (2021-2024) and at the Information and Communication Technology Convergence Research Center at Kumoh National Institute of Technology, South Korea, where he continued his work on reinforcement learning-based resource management in IoT environments.

Teuku Geumpanaمشاهده پروفایل

مدرس

• Cloud Computing
• Disaster Response Management
• Internet of Things
• +۵ مورد دیگر

Dr. Teuku Geumpana is a Lecturer in Computing and Information Technology at the School of Information and Physical Sciences , University of Newcastle. With a PhD from the University of New South Wales and over 18 years of academic and industry experience, he focuses on pedagogical innovation, disaster response systems, and renewable energy optimization. Education: PhD in Computer Science Engineering (UNSW), BIT (Honours) from International Islamic University Malaysia Teaching: Coordinates project management and professional practice courses for cohorts exceeding 500 students annually Research Interests : Combines cloud computing, IoT, and disaster management with applications in health informatics and renewable energy. His work addresses social-technical challenges in emergency data transmission and techno-economic analysis of hybrid energy systems. Publications highlight trends in: Disaster mitigation using GIS and cloudlet architectures AI-driven healthcare monitoring (e.g., chest X-ray analysis for pandemic severity) Technopreneurship education frameworks for disaster-prone regions Optimization of solar-wind-grid hybrid systems in Indonesia Professional Contributions : Coordinates multi-campus course delivery, develops industry-linked curricula, and engages in interdisciplinary collaborations. His work bridges ICT with sustainability and humanitarian challenges.

Chiara Guardasoniمشاهده پروفایل

دانشیار

• Numerical Analysis
• Computational Mathematics
• Wave Propagation
• +۲ مورد دیگر

Chiara Guardasoni is an Associate Professor at the Department of Mathematical, Physical and Computer Sciences of the University of Parma . She holds a full-time position in the scientific disciplinary sector MAT/08 (Numerical Analysis) and has been actively involved in teaching, research, and academic organization since 2010. Current Teachings: Numerical Methods for Differential and Integral Equations, Computational Finance, Numerical Calculus Past Positions: Full Professor (2018), Type B Researcher (2013-2017), Research Grants (2010-2013) Research Interests focus on: Numerical solutions of hyperbolic equations for transient wave propagation (energy formulations, BEM/FEM coupling, fast solvers) Numerical methods in quantitative finance and extended kinetic theory Her scientific awards include: INDAM-SIMAI 2010 award for best doctoral theses in Applied Mathematics FFABR grant (2017) for basic research funding Dr. Guardasoni collaborates with the GNCS-INdAM and has served on organizing committees for conferences such as SIMAI 2020 and the Boundary Integral Equation Workshops at the University of Parma. Contact: chiara.guardasoni@unipr.it

• Artificial Intelligence
• Big Data Analytics
• Internet of Things
• +۱۰ مورد دیگر

Dr. Anuoluwapo Ajayi is an Associate Professor in the Department of Business and Management at the Faculty of Business and Law, University of the West of England. With over 17 years of experience in research, teaching, and administration from Obafemi Awolowo University, Nigeria, and visiting roles at the University of Lorraine, France; University of Eastern Finland; and University of Zululand, South Africa, his work bridges Artificial Intelligence , Big Data Analytics , and Construction Informatics to address complex challenges in Energy , Healthcare , and Education . Education: PhD in Artificial Intelligence and Construction Informatics Visiting Scholar, University of Lorraine, France Visiting Scholar, University of Eastern Finland Visiting Scholar, University of Zululand, South Africa Dr. Ajayi's research focuses on applying Machine Learning , IoT , and Optimization to domains like Construction , Energy Systems , and Health Informatics . His publications span topics including Concrete Quality Prediction , Cryptocurrency Market Analysis , and Smart Infrastructure , reflecting interdisciplinary expertise in Computer Science and Engineering . Notable scientific achievements include being a fellow of the Massachusetts Institute of Technology International Science and Technology Initiatives (MISTI). His 15 most recent publications (2020-2023) show a trajectory focused on Deep Learning , Renewable Energy , and Industry 4.0 in construction. Dr. Ajayi also contributes to emerging fields like Medical Imaging and Digital Agriculture . Collaborations: Massachusetts Institute of Technology (MISTI) University of Lorraine University of Eastern Finland University of Zululand

Hong-Linh Truongمشاهده پروفایل

دانشیار

• Cloud Computing
• Internet of Things (IoT)
• Big Data Analytics
• +۹ مورد دیگر

Hong-Linh Truong is an Associate Professor (tenured) at the School of Science , Aalto University in Finland. She leads the AaltoSEA Group focused on Systems and Services Engineering Analytics. Additionally, she holds an Adjunct Associate Professor position at the Faculty of Informatics, TU Wien, Austria. Her research spans Cloud Computing Internet of Things (IoT) Big Data Analytics Distributed Systems Elastic Computing Context-aware Systems with particular emphasis on engineering analytics for hybrid cloud-IoT systems and service elasticity management. Analysis of her 15 most recent publications reveals focus areas including Edge Computing (5 papers) Blockchain Applications (3 papers) Machine Learning Systems (2 papers) Cyber-Physical Systems (2 papers) Collaborative Computing (2 papers) Resource Orchestration (1 paper) Scientific achievements include Best Poster Award at European Grid Conference 2005 Best Paper Award at CAiSE'12 She actively collaborates with institutions across Europe and Asia, with research applications in both industrial contexts (air traffic management, manufacturing) and public sectors (disaster response, sustainability governance). Her work integrates theoretical foundations with practical implementations, as evidenced by numerous toolset developments like SCALEA-G and IoTCloudSamples.

Ioannis Parmenion Patiasمشاهده پروفایل

دانشیار

• Project Management
• Project Risk Management
• Design of Robotics Systems
• +۵ مورد دیگر

Ioannis Parmenion Patias is an Associate Professor at the Faculty of Mathematics and Informatics , Sofia University , specializing in Project Management , Robotics , and Ethically Aligned Design . He holds a PhD in Computer Informatics (2001), a PMP certification (2010), and an MBA (2013). Education: MSc, Technical University of Sofia (1993) Candidate of PhD, Technical University of Sofia (1994-2000) PhD, Computer Informatics (2001) PMP Certification, PMI USA (2010) MBA, International Hellenic University (2013) Research Interests span Project Risk Management , Robotics , and Prompt Engineering , with a focus on ethical design , cloud federation , and knowledge-based systems . His work bridges autonomous systems and public policy . Scientific Projects include EU-funded initiatives like SUMMIT (2023-) and me_HeLi-D (2022-), alongside MIRACle (2020-2022) and GATE (2019-2020), emphasizing robotics , cloud integration , and mental health resources . Publications cover topics from ethical robotics to mobile healthcare apps , reflecting his interdisciplinary approach. He has authored books such as Embedded Control in Autonomous Systems (2024) and Design of Robotics Systems (2017).

• Artificial Neural Networks
• Medical Image Processing
• Wearable Electronic Devices
• +۶ مورد دیگر

Eros Gian Alessandro Pasero is a Tenured Associate Professor at the Department of Electronics and Telecommunications (DET) , Politecnico di Torino , and a member of the PolitoBIOMed Lab (Biomedical Engineering). He has held visiting Associate Professor roles at institutions including Tongji University and Turin Polytechnic University in Tashkent. His research spans artificial neural networks , medical image processing , and wearable devices , with applications in cardiology, industrial optimization, and environmental monitoring. His work focuses on ECG signal analysis for Brugada syndrome risk stratification, deep learning for biological imaging, LSTM models for photovoltaic forecasting, and transformer architectures in clinical diagnostics. He has pioneered the G-EXIN neural network for nonstationary data and Mini Green Radio Sonde for atmospheric sensing. Scientific Awards : Four Design-In Awards , Premio Innova S@alute2017 (TEVA), and President of SIREN (Italian Society of Neuronic Networks) since 2014. Research Projects : MUSMET (2024-2028): Musical Metaverse innovation lab via EU-EIC. ENTWINED (2023-2025): Neural digital twins for electrical drives. BrS-AI-ECG (2021-2024): AI in Brugada diagnostics (ERC). Patents : Inclusive sound card, wearable ECG device, and radio sonde technologies.

Francesco Pillaمشاهده پروفایل

استاد

• Smart Cities
• Geospatial Analysis
• Urban Dynamics
• +۱۱ مورد دیگر

Francesco Pilla is a Full Professor at University College Dublin's School of Architecture, Planning and Environmental Policy, specializing in Smart and Sustainable Cities. His work bridges urban technology, geospatial modeling, and citizen science initiatives. Coordinates EU Horizon projects: iSCAPE (air pollution control), OPERANDUM (flood risk reduction), WeCount (mobility systems), Connecting Nature (nature-based solutions) Leads SFI Investigator Grant on scalable mobility analytics Co-Director of Spatial Dynamics Lab Research focuses on: Geospatial big data & AI integration Participatory sensing with low-cost sensors Climate action through educational co-design Urban microclimate optimization Policy-driven AI consensus models Key articles demonstrate expertise in air quality monitoring, traffic safety analysis, and energy-efficient urban design. Awards include: Haagen-Smit Prize for atmospheric research Electric Vehicle Awards 2024 for eMobility innovation Academic Research Award from Financial Times Teaching responsibilities include: Advanced GIS (2018-2025) Smart Cities module (2019-2024) Research Methods coordination (2019-2024) Labs & Teams: Co-Director of Spatial Dynamics Lab, member of Science Foundation Ireland Energy Institute, and collaborator with MIT & IBM research labs.

• Energy Systems Optimization
• Smart Production
• Energy Communities
• +۴ مورد دیگر

Fernando Carreras Oliver is a researcher at the University of Applied Sciences Wels , affiliated with the ASiC Center of Excellence and Energy Center of Excellence for Smart Production . His work focuses on energy systems optimization, particularly in distributed energy networks, battery inverter efficiency, and renewable energy communities. Active in projects like Austrian DC Pilot Factory and InduGrid Industrial Microgrids Specializes in nonlinear optimization problems and energy flow analysis Recent publications highlight his contributions to domestic energy management systems and cost optimization in distributed energy systems , with applications in smart grids and CO2 reduction. Collaborations span institutions like the Climate and Energy Fund and FTI-Strukturförderung. Despite lacking explicit awards, his 19 h-index reflects significant academic impact.

Dane Christensenمشاهده پروفایل

پژوهشگر

• Energy Security
• Geothermal Research
• Cybersecurity
• +۵ مورد دیگر

Dane Christensen is a Laboratory Program Manager at the National Renewable Energy Laboratory (NREL), overseeing national security research. Previously, he served as a Group Manager for Cybersecurity Research and Senior Researcher for Smart Buildings. With over 50 peer-reviewed publications, four issued patents, and leadership in pioneering projects like foresee™ technology (2018 R&D 100 Award winner), he specializes in energy security, cybersecurity, and grid-edge technologies. Affiliation : National Renewable Energy Laboratory Education : Bachelor of Mechanical Engineering, Rice University PhD in Mechanical Engineering, University of California, Berkeley His research focuses on Internet of Things , data-driven energy controls , and virtual power plants , with notable work in cybersecurity frameworks for electric grids and smart home energy systems. Key contributions include: Development of foresee™ technology for home energy management Technoeconomic studies on geothermal energy in cold climates Transactive energy market frameworks for grid stability Behavioral analysis of consumer load preferences Co-simulation techniques for cyber-physical systems Residential battery modeling for economic optimization Scientific Awards : R&D 100 Award (2018) for foresee™ technology Christensen's work spans publications, patents, and technical reports analyzing grid-edge vulnerabilities, smart home systems, and renewable integration. His collaborations address energy efficiency, cybersecurity, and sustainable community design.

Edward SUNمشاهده پروفایل

استاد

• Data Science
• FinTech
• Mathematical Finance
• +۷ مورد دیگر

Edward SUN is a Professor in Data Science and FinTech at Kedge Business School since 2018, with a PhD in Statistics and Mathematical Finance from the University of Karlsruhe (2007) and HDR in Management Sciences from the University of Bordeaux (2018). His research spans applied mathematics, operations research, artificial intelligence, and financial engineering, with notable collaborations with Nobel Laureate-affiliated supervisors. Key research areas: Data Science, FinTech, Mathematical Finance, Logistics 4.0, and Business Analytics Recent publications focus on spatiotemporal analysis, digital twin applications, and machine learning in financial services Teaching domains include data-driven decision-making and predictive analytics

• Data Management
• Machine Learning
• Energy Systems
• +۳ مورد دیگر

Dr. rer. nat. Alexander Kleinjohann is a researcher at the Chair of Building and Room Climate Technology, RWTH Aachen University. He focuses on data management and machine learning applications for energy systems, particularly in advancing 5th generation district heating and cooling grids through the TransUrban.NRW real laboratory and N5GEH project consortium. His work integrates FIWARE-based IoT platform solutions with cloud monitoring to support sustainable urban energy transitions. PhD in Neuroscience from RWTH Aachen University Physics background with emphasis on cosmology His research bridges data modeling and preprocessing challenges in building climate technology, leveraging interdisciplinary expertise from physics and neuroscience. Key projects include techno-economic optimization of district energy networks using machine learning algorithms. Current work involves collaboration with interdisciplinary teams to digitize energy systems for the heat transition, focusing on real-world applications in four urban districts.

• Wireless Sensor Networks
• Robotics
• Cognitronics
• +۷ مورد دیگر

Dr. Marc Hesse serves as Team Leader of the Cognitronics & Sensor Technology Group at Bielefeld University's Faculty of Engineering and is also a Board member of the Center for Cognitive Interaction Technology (CITEC). His work bridges engineering, robotics, and sensor technology with practical applications across multiple domains. Dr. Hesse's research spans wireless sensor networks, robotics, machine learning applications, and Industry 4.0 technologies. His work focuses on developing practical solutions for real-world problems, including physiological monitoring systems, UWB localization in challenging environments, and edge computing applications for smart grids and manufacturing. He has made significant contributions to educational robotics through the AMiRo platform, which integrates research and teaching in robotics education. His publication record shows consistent output across multiple domains, with recent work emphasizing machine learning applications in sensor networks, edge computing implementations, and digital twin technologies. The research demonstrates a trajectory from fundamental sensor and system design to applied implementations in agriculture, healthcare, and industrial settings. Dr. Hesse collaborates extensively across disciplines and institutions, with publications spanning biomedical engineering, robotics, electrical engineering, and sports science. His work often addresses the practical challenges of implementing theoretical concepts in real-world environments with resource constraints.

• Sustainable Construction
• Building Energy Modeling
• Renewable Energy Integration
• +۵ مورد دیگر

Michael Grobbauer is a Professor and Senior Researcher at the Center for Alpine Construction within the Design and Green Engineering framework at Salzburg University of Applied Sciences. He has been active since 2012, with a focus on sustainable building practices and energy-efficient urban development. Key research areas: Sustainable Construction, Building Energy Modeling, Timber Engineering, Renewable Energy Integration His recent work explores parametric timber solutions and energy performance certificate-based urban modeling , contributing to climate-resilient building systems. He has published 42 works, including 2023 Energy journal articles and 2022 conference papers on modular construction. Salzburg State Architecture Prize (2006) Inventor of Graz University of Technology (2013) Salzburg Timber Construction Award (2007) IOC/IAKS Special Distinction (2007) Active in projects like ScaleUp_ZAB (2023–2025), Grobbauer leads initiatives in solid timber construction and photovoltaic integration . He has reviewed 14 publications and presented at events including the 2024 Austrian PV Conference.

• Transportation Systems
• Electric Bus Optimization
• Energy Storage Scheduling
• +۴ مورد دیگر

Ziling Zeng is a researcher at Chalmers University of Technology, Sweden, affiliated with the Mechanics and Maritime Sciences (M2) school and the Logistics and Transportation department. His work focuses on electric bus systems, energy storage optimization, and sustainable urban mobility. Research interests span public transit electrification , fleet management , battery degradation modeling , and multi-modal logistics . His 15 most recent publications emphasize optimization frameworks, cost analysis, and real-world implementation challenges for zero-emission transportation. Key projects include: ERGODIC (2023–2026) - VINNOVA & European Commission funding Accelerating transport electrification by machine learning (2021–2023) - European Commission Speed Control of Connected Vehicles (2020–2023) - VINNOVA His work addresses policy, technology, and infrastructure challenges in transitioning to sustainable transit systems.