جست‌وجوی استاد و پژوهشگر

• Signal Processing
• Radar Systems
• Machine Learning
• +۵ مورد دیگر

Ari Visa is a Professor at the Faculty of Information Technology and Communication Sciences, Department of Computing Sciences at Tampere University. His research focuses on signal processing, radar systems, machine learning, robotics, and structural health monitoring. He has authored over 170 publications and contributed to projects in industrial automation, biomedical engineering, and sensor networks. His work spans applications such as data-driven ISAR imaging, fatigue analysis in aircraft structures, and aroma-based indoor localization. Notable contributions include radar clutter modeling, sensor fusion techniques, and algorithm development for industrial drilling operations. He has collaborated on EU projects like cHiPSet (High-Performance Modelling for Big Data) and holds a patent for an intelligent toothbrush monitoring device. Recent research trends emphasize fusion of data streams (e.g., radar/5G integration), machine learning for classification tasks (food scent analysis, metallic object detection), and real-time systems for manufacturing/health monitoring. His work bridges theoretical signal processing with practical industrial and biomedical applications. Key achievements include pioneering radar target characterization methods, developing kinematic models for heavy-duty manipulators, and advancing sensor-based localization techniques. Ongoing projects involve AI-driven predictive maintenance and multi-modal data analysis frameworks.

Derk Joesterمشاهده پروفایل

استاد

• Biomineralization
• Materials Science
• Nanostructure Analysis
• +۳ مورد دیگر

Professor Derk Joester leads the Joester Group at Northwestern University's Department of Materials Science and Engineering. His research focuses on understanding the formation, properties, and degradation of mineralized tissues in both vertebrate and invertebrate organisms, with a particular emphasis on biomineralization mechanisms. He employs cutting-edge techniques such as atom probe tomography (APT), synchrotron X-ray microtomography, and machine learning-driven image segmentation to study materials like chiton radula teeth and human dental enamel. Education: Ph.D. Chemistry, ETH Zurich, Switzerland (2000) M.Sc. Chemistry, ETH Zurich, Switzerland (1999) Fulbright Scholar, University of Tennessee (1994–1995) B.A. Chemistry and Pharmacy, University of Tübingen, Germany (1992) Research Interests: His group investigates the role of organic matrices in controlling mineralization, the dynamics of amorphous-to-crystalline transitions, and the application of bioinspired materials in fields like dentistry and additive manufacturing. Key projects include the Enamel Atlas initiative to map enamel structure across scales and the study of Sr sequestration in marine organisms for nuclear waste remediation. Professional Recognition: Fellowships: Minerva, Weizmann Institute, ETH Zurich, Fulbright Awards: Dr. Nathorff-Einstein Award (1992), Fonds of the German Chemical Industry Award (1992) Grants & Collaborations: Current funding supports projects like the Enamel Atlas , bioengineering single-crystal growth, and Sr mineralization studies in Acantharea. Collaborators include institutions such as UCSF, UPenn, and the Forsyth Institute. Labs & Teams: The Joester Group hosts a multidisciplinary team, with ongoing projects in cryo-tomography, nanomaterials visualization, and computational modeling of biomineral systems.

Esko Niemiمشاهده پروفایل

استاد

• Additive Manufacturing
• Finite Element Analysis
• Manufacturing Systems
• +۳ مورد دیگر

Esko Niemi is a Professor at Aalto University, holding dual appointments in the Department of Energy and Mechanical Engineering and the Materials to Products research group. He earned his Doctoral degree in Engineering and Technology from Helsinki University of Technology (now part of Aalto University) in 1999, following earlier degrees from the University of Manchester and Helsinki University of Technology. His research focuses on additive manufacturing, finite element analysis, production scheduling, and material science, with notable contributions to melt pool dynamics, powder bed fusion processes, and material anisotropy studies. He has led multiple EU and national projects, including TwinFlow (2024-2026), Pathfinder, and KnowNet. Niemi has authored over 65 publications and actively contributes to editorial boards of journals such as the International Journal of Advanced Manufacturing Technology. His work aligns with UN Sustainable Development Goals related to industry innovation and infrastructure. Research interests span advanced manufacturing technologies, simulation-driven material characterization, and optimization of production systems. Recent projects emphasize sustainable manufacturing and cross-industry knowledge exchange networks. He has supervised three theses and collaborates internationally on topics like Lean manufacturing and supply chain monitoring. Education: Doctoral degree, Engineering and Technology, Helsinki University of Technology (1999) Licentiate degree, Engineering and Technology, Helsinki University of Technology (1991) Master's degree, University of Manchester (1987) Master's degree, Helsinki University of Technology (1984) Recent Projects (2021–2026): TwinFlow (2024–2026): Business Finland-funded strategic center for manufacturing innovation KnowNet series (2021–2022): EU EIT-funded initiatives for knowledge exchange networks Greef (2021–2023): Focus on lifecycle analysis and economic innovation Key Activities: Editorial board memberships (e.g., International Journal of Advanced Manufacturing Technology ) International collaborations with institutions like Peter the Great St. Petersburg Polytechnic University Conference presentations on topics like EU carbon border mechanisms and Lean transformation effects

Inam Nutkaniمشاهده پروفایل

مدرس ارشد

• Power Systems
• Renewable Energy
• Microgrids
• +۵ مورد دیگر

Dr. Inam Nutkani is a Senior Lecturer of Electrical Power Systems and Power Electronics at the School of Engineering, RMIT University, Australia. He holds an ORCID identifier (0000-0001-5827-6649) and is actively engaged in research collaborations with industry and academic partners. His professional experience spans over 25 years across roles in power utilities, consultancy firms, and research organizations, including positions at Experimental Power Grid Centre (EPGC), A*STAR (Singapore), and NESCOM (Pakistan). Dr. Nutkani has secured significant research funding, including a S$1.7M competitive grant as Lead PI and industry contributions of up to A$1M. Notable projects include the Neighbourhood Battery Initiatives (IndigoPower/DEECA/Vic Govt.), Local DER Network Solutions , and Donald and Tarnagulla Microgrid Feasibility Study (Federal Government). He also led the 3MW microgrid project at NESCOM, completed in under two years. His research interests focus on AC/DC/Hybrid Microgrids , including design, control, and management; Power Electronics converters and sensorless control strategies; and Electrical Power Design involving renewable energy impacts on grid reliability. He emphasizes distributed control mechanisms, grid stability under high renewable penetration, and adaptive protection systems for future grids. Dr. Nutkani advises on advanced topics such as inverter control requirements, fault ride-through strategies, and EV integration. He has supervised over 10 research projects, including Probabilistic Stability Analysis of Uncertain Power Systems (2025) and Grid Forming Inverter Control (2021). His work bridges academia and industry, with collaborations extending to organizations like CSIRO (Australia) and Bosch Energy Research Group (Singapore). He is a Senior Member of IEEE (SM’14) and holds Professional Engineer (PE) membership with Engineers Australia. His teaching portfolio includes courses like EEET2099 Variable Speed Drives and EEET2224 Power Electronic Converters at RMIT, along with prior roles at Nanyang Technological University and industry training programs on software tools like ETAP and DigSILENT PowerFactory.

• CO2 Capture Technology
• Calcium Looping Process
• Thermochemical Energy Storage
• +۳ مورد دیگر

Carla Isabel Costa Pinheiro is an Assistant Professor at the Department of Chemical and Biological Engineering, Instituto Superior Técnico (IST), University of Lisbon. She specializes in sustainable process engineering with a focus on CO₂ capture technologies using calcium looping, thermochemical energy storage, and catalytic processes. Her work integrates computational modeling, process optimization, and control systems design. Education & Professional Background: PhD in Chemical Engineering (assumed based on academic rank) Postdoctoral experience in process systems engineering Research Interests: Her research addresses decarbonization challenges through innovative process designs, including utilization of industrial wastes as sorbents, solar energy integration in chemical processes, and advanced control strategies for complex systems. Key areas include: Calcium looping cycle optimization CO₂ capture from cement industry emissions Fluidized bed reactor modeling Process intensification via reactive distillation Dynamic simulation of FCC units Key Projects: CaReCI Project: Developed sustainable CO₂ capture solutions using calcium looping with industrial waste materials Modeling of ethyl tert-butyl ether (ETBE) production processes Control strategies for biodiesel extraction columns Thermal energy storage systems for CSP plants Teaching Contributions: Teaches Introduction to Process Control and integrates model predictive control projects into master's programs. Co-developed CAPE-based curriculum for chemical engineering education. Labs & Collaborations: Active in interdisciplinary teams at IST's Chemical Engineering Department, collaborating with industry partners on pilot-scale projects. Leads research groups focused on renewable energy systems and industrial sustainability.

Christoph Baerمشاهده پروفایل

پژوهشگر

• Radar Technology
• Microwave Engineering
• Sensor Systems
• +۳ مورد دیگر

Christoph Baer is a Senior Academic Councillor at the Ruhr-Universität Bochum , affiliated with the Electronic Circuits department under the Faculty of Electrical Engineering and Information Technology . His research focuses on advanced radar systems, microwave engineering, sensor technology, and humanitarian applications such as landmine detection. He leads projects like MEDICI (humanitarian microwave detection in Colombia) and Plaque-CharM (atherosclerotic plaque characterization via mm-wave sensors). Key Contributions: Pioneered radar-based fire and smoke detection, developed dielectric waveguide sensors, and contributed to fluid dynamics and plasma state monitoring. Publications: Over 100 peer-reviewed articles since 2008, including work on radar imaging, material characterization, and FMCW radar systems. His work bridges academic research and practical applications, with patents in radar calibration, material measurement, and sensor design. He actively participates in IEEE conferences and promotes international collaboration in humanitarian technology.

• Machine Learning
• Explainable AI
• Healthcare Data Analytics
• +۶ مورد دیگر

Dr. Alison O'Connor is an Assistant Professor at the University of Limerick , affiliated with the Department of Computer Science & Information Systems , Ageing Research Centre , and Lero – the Irish Software Research Centre . Her research bridges machine learning with mechanics of materials and healthcare data analytics , focusing on applications in structural integrity , Industry 4.0 , and medical informatics . Education : PhD in Mechanical Engineering (Imperial College London, 2015-2019), Graduate Diploma in Advanced Materials (2008-2009), and BSc in Aeronautical Engineering (2004-2008). Her research interests span explainable AI for healthcare decision-making, finite element analysis in nuclear steel integrity, and cold rolling process modeling . Recent publications highlight her work on agent-based patient pathway simulations and MRI texture analysis of traumatic brain injury. She contributes to journal peer-review and university committees as a core member. Publication trends show dual expertise: 50% in structural integrity and materials science, 50% in neuroscience and medical diagnostics . Key subfields include dopamine regulation , microdialysis techniques , and computational medicine .

• Hydraulics
• Hydroacoustics
• Hydroinformatics
• +۶ مورد دیگر

Dr. Wei Zeng is an ARC DECRA Fellow at the School of Architecture and Civil Engineering (University of Adelaide), specializing in hydraulics, hydroacoustics, and smart infrastructure systems. His research focuses on integrating machine learning, IoT, and physics-based modeling for water network monitoring, hydraulic transient analysis, and pipeline condition assessment. He leads the development of anomaly detection systems commercialized via the startup Adelitics Pty Ltd, deployed in five water utilities globally. His work spans smart water networks, sustainable asset maintenance, and pumped hydro energy storage, with contributions to CFD, control systems, and sensor fusion technologies. He supervises PhD students in related fields and teaches engineering courses on structural dynamics and fluid mechanics. Research Interests: Smart IoT-enabled water infrastructure systems Hydraulic transient modeling for aging energy systems Physics-informed machine learning for civil systems Hydroacoustic-based pipeline condition assessment Pumped hydro energy storage integration with renewables Key Contributions: Commercialized IoT leak detection systems through Adelitics Pty Ltd Pioneered paired-impulse response function (IRF) methods for pipeline diagnostics Developed transient prediction frameworks using physics-informed neural networks Advanced sensor placement optimization strategies for sewer systems Teaching & Supervision: Eligible to supervise PhD/Masters students in hydraulics, hydroinformatics, AI, and CFD. Active in courses covering structural analysis, fluid dynamics, and engineering statics.

• Process Systems Engineering
• Optimization
• Model Predictive Control
• +۵ مورد دیگر

Nikolaos Diaggelakis serves as an Assistant Professor in the Department of Process Development, Analysis & Design (II) at the School of Chemical Engineering, Technical University of Crete, where his work bridges theoretical optimization and industrial process applications. Education: Ph.D. in Chemical Engineering, Imperial College London, 2017 M.Sc. in Chemical Engineering, Imperial College London, 2012 Diploma in Chemical Engineering, National Technical University of Athens, 2011 Visiting Doctoral Researcher, Texas A&M Energy Institute, 2017 His research pioneers process systems engineering through mathematical optimization with moving time horizons, simultaneous design-control integration, and multi-parametric programming frameworks. Key applications span chemical process intensification, energy-efficient microgrids, and environmental systems, emphasizing worst-case and nonlinear optimization robustness. His theoretical contributions directly enable industrial implementations in energy systems and manufacturing. Publications from 2015-2022 reveal a concentrated evolution toward real-time optimization and decentralized control architectures , with increasing focus on data-driven surrogate models and robust explicit MPC strategies. The work consistently bridges fundamental algorithm development (e.g., multi-parametric quadratic programming solutions) with tangible industrial applications like air separation units and combined heat-power systems. Scientific Awards: Excellence Award for Outstanding PhD Thesis in Computer Aided Process Engineering (CAPE), Third Place, 2017 Invited Speaker, Distinguished Young Researchers Seminar Series, Northwestern University, 2016 Best Poster Award, CPSE Autumn Industrial Consortium Meeting, Imperial College London, 2014 Dr. Diaggelakis actively secures competitive funding, including U.S. Department of Energy grants (2018-2020) for smart manufacturing in chemical processing and National Science Foundation projects (2015-2016) on integrated process design-control frameworks. His leadership in the PAROC research group drives software development (POP toolbox) and industry collaborations through consortia like CPSE. Current projects emphasize uncertainty-aware scheduling for process industries and energy-efficient microgrid operation. He co-develops the industry-standard PAROC framework and POP toolbox, enabling multi-parametric optimization for complex process systems, and maintains active partnerships with Texas A&M and Imperial College London through ongoing research consortia.

Carsten Bundesmannمشاهده پروفایل

پژوهشگر

• Physics
• Materials Science
• Semiconductor Research
• +۴ مورد دیگر

Dr. Carsten Bundesmann is a Researcher at the Leibniz Institute for Surface Modification (IOM) in Leipzig, Germany. His work focuses on ion beam technology , thin film deposition , and electric propulsion diagnostics . He has been active at IOM since 2006, with prior affiliations at the University of Leipzig where he completed his PhD in 2005. University of Leipzig (PhD in Physics, 2005) University of Liverpool (Mathematics exchange program, 1997-1998) Research interests span ion beam sputtering , infrared ellipsometry , and plasma diagnostics for space propulsion systems. His work addresses: Thin film property control via ion beam parameters In situ characterization of electric propulsion thrusters Development of advanced diagnostic tools Phonon/plasmon analysis in semiconductor materials Scientific contributions include 5 recent publications with topics ranging from gallium oxide thin films to plasma erosion measurement systems . Key projects include: DFG-funded TiO 2 deposition studies (2011-2018) ESA/ESTEC AEPD system qualification (2013-2019) SAB PRECIOS project for magnetron deposition control (2012-2014) Awarded the German Academic Scholarship Foundation grant (1996-2001), he serves on the Scientific and Technical Council of IOM and has delivered over 15 invited lectures globally. Current activities include membership in the Interdisciplinary Working Group for Semiconductor Research Leipzig and the Ellipsometry Working Group (AKE) .

• artificial intelligence
• knowledge engineering
• intelligent control and management systems

Donat Orski, PhD, serves as an Assistant Professor at the Department of Computer Science and Systems Engineering within Wrocław University of Science and Technology's Faculty of Information and Communication Technology. His active teaching role is evidenced by published office hours (Wednesdays 11:00-13:15, Thursdays 13:15-15:00) and direct contact channels including email (donat.orski@pwr.edu.pl) and phone (+48 71 320 3583). Dr. Orski's research centers on artificial intelligence applications for managing uncertainty in complex systems. His work specializes in knowledge engineering and intelligent control/management systems, with particular emphasis on resource allocation methodologies using uncertain variables and systemic approaches. This focus enables innovative solutions for operation systems where traditional deterministic models fail. Analysis of his 15 most recent publications (2006-2014) reveals a cohesive research trajectory in uncertainty modeling across production systems, computer networks, and operational frameworks. His work consistently bridges cybernetic theory with practical optimization, frequently appearing in journals like Kybernetes and the Journal of the Operational Research Society. Key contributions include developing C-uncertain variable frameworks and neural network applications for adaptive control under parameter uncertainty. No scientific awards or fellowships are documented in available sources. Information regarding student advising, research grants, or sponsored projects is not provided in current academic profiles. Details about laboratory facilities, research teams, or collaborative projects remain unspecified in publicly accessible institutional records.

• Evolutionary Algorithms
• Swarm Robotics
• Optimization
• +۳ مورد دیگر

Prof. Ben Paechter is a leading academic at the School of Computing Engineering and the Built Environment , Edinburgh Napier University, specializing in evolutionary algorithms and swarm robotics. As a Professor , he has shaped research directions in computational optimization and adaptive systems for over two decades. Research Themes : Evolutionary Swarm Robotics, Multi-Objective Optimization, Hyper-heuristics, Neural Architecture Search Key Projects : FOCAS (European Commission), KTP: Intelligent Agents (Innovate UK), PerAda (Self-Aware Systems) Collaborations : CAVES Research Group, Centre for Algorithms, Visualisation and Evolving Systems His article trends demonstrate expertise in cross-domain hyper-heuristics, swarm behavior tree evolution, and neural network architecture optimization. Recent works (2023-2024) focus on GPU-accelerated evolutionary algorithms and hierarchical swarm control systems. Scientific Awards : Fellow of the British Computer Society (FBCS) Chartered IT Professional (CITP) GECCO Best Paper Nomination (2018) Advising & Grants : Supervised 5 PhD students including Paul Lapok (planar mechanisms) and Andreas Steyven (swarm diversity). Secured £2.2M+ in funding across 13 projects, including EU FOCAS (£639,999) and Innovate UK grants.

Florian Holzapfelمشاهده پروفایل

استاد

• Flight System Dynamics
• Flight Control/Flight Guidance
• Trajectory Optimization
• +۴ مورد دیگر

Prof. Dr.-Ing. Florian Holzapfel holds the professorship in Flight System Dynamics at the Technical University of Munich (TUM), affiliated with the TUM School of Engineering and Design. His academic journey includes a doctorate at TUM under Prof. Gottfried Sachs, followed by industry experience at IABG before joining TUM in 2007. He is an Associate Fellow of the AIAA and a DGLR member. Research focuses on flight control systems, trajectory optimization, sensor technology, avionics, and safety-critical systems, with emphasis on collaboration with Bavarian aerospace SMEs. Key contributions include adaptive control strategies, eVTOL trajectory optimization, and urban air mobility applications. Education: Bachelor/Master in Aerospace Engineering from TUM Doctorate (Dr.-Ing.) at TUM's Chair of Flight Mechanics and Flight Control Awards include the AIAA 2004 Best Paper Award and the Willy Messerschmitt Prize. His work bridges industry-academia gaps, addressing practical challenges in flight dynamics and advanced air mobility. Labs/Teams: Leads research in eVTOL trajectory generation, flight control architectures, and safety-critical system design. Grants/Awards: Extensive contributions to AIAA conferences and industry-funded projects.

Ezio Bartocciمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Formal Methods
• Runtime Verification
• +۵ مورد دیگر

Univ. Prof. Dr. Ezio Bartocci is a Professor at TU Wien, leading the Forschungsbereich Cyber-Physical Systems . His research focuses on formal methods, runtime verification, and probabilistic systems in Cyber-Physical Systems (CPS). He leads projects like 'Distribution Recovery for Invariant Generation of Probabilistic' and 'Trustworthy IoT for CPS'. Key interests include specification mining, probabilistic hyperproperties, and developing tools like MoonLight for spatio-temporal monitoring. Recent work explores reinforcement learning ethics, neural network verification, and adaptive testing frameworks. His contributions span conferences such as HSCC and RV, with notable publications on parameter synthesis, fault localization in CPS, and moment-based analysis of probabilistic loops. Research Interests : Cyber-Physical Systems (CPS) design and validation Formal specification and verification techniques Probabilistic systems and hyperproperties Runtime monitoring and adaptive testing Neural networks and ethical AI Labs/Teams : Active in TU Wien's Cyber-Physical Systems research unit, collaborating with industry and academia on CPS security and autonomous systems.

• Probability and Statistics
• Estimation Theory
• Biostatistics
• +۳ مورد دیگر

Georgios Tzavelas is an Associate Professor in Probability and Statistics at the Department of Statistics and Insurance Science, University of Piraeus. His academic career includes roles in teaching and research since 1994, with expertise in parametric distribution theory, biased sampling models, and statistical inference methods. PhD in Mathematical Statistics (University of Maryland, 1994) MA in Mathematical Statistics (University of Maryland, 1991) Bachelor’s in Mathematics (University of Patras, 1984) Research focuses on estimation theory, characterization problems, environmental statistics, and biostatistics. Notable contributions include work on failure rate functions, factor analysis rotation effects, and size-biased sampling methodologies. His publications span over 35 peer-reviewed articles in journals like Metrika, Journal of Statistical Computation and Simulation, and Biometrical Journal. Awards include Excellence in Teaching (1993) and top academic performance recognition during undergraduate studies. Serves as a referee for multiple statistical journals. Teaching responsibilities include courses on sampling methods, biostatistics, actuarial science, and clinical trials. Research interests bridge statistical theory and applications in health and environmental sciences, with active participation in interdisciplinary collaborations.