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Dave C.J. KropView profile

Assistant Professor

• Electromagnetic devices
• Linear motors
• Advanced actuator designs
• +5 more

Dr. Dave C.J. Krop is a full-time Assistant Professor in the Electromechanics and Power Electronics department at Eindhoven University of Technology (TU/e). His expertise includes linear motors, contactless energy transfer, and advanced actuator design with a focus on superconducting and high-dynamic applications. Prior to his full-time position since 2018, he held a part-time role and worked in industry roles at Punch Powertrain and Vostermans Ventilation. Krop holds a B.E. in Electrical Engineering (2004), M.Sc. in Electrical Engineering (2007), and Ph.D. in Electromechanics and Electromagnetics (2013), all from TU/e. His research emphasizes electromagnetic device modeling, finite element analysis, and the integration of energy transfer systems with actuators. Notable contributions include a patented linear motor with contactless energy transfer (2013) and pioneering work on high-dynamic superconducting linear motors. He has authored/co-authored 15 conference papers, 3 journal articles, and a book. Research Highlights: Developed HTS linear motor designs for high-dynamic applications using electromagnetic-thermal analysis Advanced MIMO magnetic levitation actuator control using neural networks Optimized PM-based planar actuators through semi-analytical modeling Awards: Best Paper Award (2018), Invited Paper Award (2013) Grants & Collaborations: Participated in STW-funded projects (2015–2024) focused on superconducting motors, automotive powertrains, and cooling systems. Collaborated with industry partners and academic teams on modular electric drives and energy-efficient systems. Labs/Teams: Involved with the Electromechanics Lab and High Tech Systems Center at TU/e, contributing to interdisciplinary projects in sustainable energy and precision engineering.

SAHAND DANESHVARView profile

Associate Professor

• Operations Research
• Optimization
• Data Envelopment Analysis (DEA)
• +5 more

Assoc. Prof. Sahand Daneshvar is a faculty member in the Department of Industrial Engineering at Eastern Mediterranean University (EMU). He holds a PhD in Mathematics (2002) from an unspecified institution, an MS in Applied Mathematics (1996), and a BA in Institutional Mathematics (1993). His research focuses on optimization techniques, particularly Data Envelopment Analysis (DEA), applied to diverse sectors such as healthcare, supply chain, and environmental sustainability. He is actively involved in teaching courses like IENG212/Modeling and Optimization, IENG314/Operations Research II, and graduate-level optimization modules. Education: PhD in Mathematics, 2002 MS in Applied Mathematics, 1996 BA in Institutional Mathematics, 1993 Research Interests: His work emphasizes DEA-based methodologies for efficiency evaluation, failure mode analysis (FMEA), and multi-criteria decision-making frameworks. Key areas include optimizing healthcare systems, green supply chains, and renewable energy policies. Recent studies explore applications in forex market forecasting using deep learning and spatiotemporal data analysis. Publications: Over 30 peer-reviewed articles highlight his contributions to operations research and industrial engineering. Notable trends include DEA model modifications for benchmarking, integrating smart FMEA for safety systems, and applying hybrid algorithms for energy storage optimization. Advising & Grants: Supervised 27+ theses (11 PhD/16 MS) on topics like DEA in healthcare efficiency, supply chain risk management, and forex prediction. Active in reviewing and editorial roles for academic journals. Labs/Teams: Engages in cross-disciplinary projects at EMU, focusing on optimization, sustainability, and industrial applications. Collaborates with international researchers on projects funded by EMU and external grants.

Milan TubaView profile

Professor

• Nature-inspired optimization algorithms
• Image Processing
• Neural Networks
• +5 more

Milan Tuba is a Professor of Computer Science and Mathematics at Singidunum University in Belgrade, Serbia. He holds academic roles including former Vice Rector for International Relations at Singidunum University, Head of the Department for Mathematical Sciences at State University of Novi Pazar, and Dean of the Graduate School of Computer Science at John Naisbitt University. His expertise spans multiple institutions, including Vanderbilt University and New York University in the U.S., where he led NSF projects and founded the Microprocessor Lab and VLSI Lab. Education: He earned B.S., M.S., and Ph.D. degrees in Mathematics and Computer Science from the University of Belgrade and New York University. Research Interests: Tuba focuses on nature-inspired optimization algorithms applied to image processing, neural networks, and computer networks. His work integrates metaheuristics with machine learning, addressing challenges in healthcare, energy forecasting, and cloud computing. Recent projects include developing optimized algorithms for medical image analysis, wind energy prediction, and cloud resource scheduling. Scientific Contributions: With over 300 publications (h-index 53), he has authored/co-edited books on topics like target localization and hardware design. His awards include inclusion in Stanford University's top 2% global scientists list (2020–2024). Advising & Leadership: Tuba has mentored dozens of PhD/Master's students across universities in Serbia, Bosnia, and the U.S. He leads research groups and serves on editorial boards for journals and conferences. His labs focus on VLSI design, neural networks, and optimization. Labs/Teams: Founder of Microprocessor Lab and VLSI Lab at U.S. institutions, and currently directs AI-focused research at Singidunum University.

• Signal Processing
• Machine Learning
• Optimization Algorithms
• +3 more

Enrique Alexandre Cortizo is a Full Professor at the Department of Signal Theory and Communications, Universidad de Alcalá. His research focuses on machine learning, optimization algorithms, and their applications in renewable energy systems, audio coding, and smart technologies. He leads the GHEODE research group, dedicated to modern heuristics and network design. He earned his doctorate in 2004 from Universidad de Vigo, with a thesis on audio coder information flow management, supervised by Dr. Miguel Antonio Peña Jimenez. His work spans computational intelligence in renewable energy, signal processing for hearing aids, and metaheuristic optimization techniques. Recent studies include explainable AI for smart agriculture, hybrid learning models in education, and sensor optimization for environmental monitoring. He has contributed to over 50 publications since 1999, addressing topics like wind energy systems, wave height prediction, and acoustic signal classification in hearing aids. Education: Ph.D. in Signal Theory, Universidad de Vigo (2004) Research Group: GHEODE (Modern Heuristics and Network Design) Key Areas: Renewable Energy Optimization, Machine Learning Applications, Audio Signal Processing His research emphasizes practical solutions for energy efficiency, environmental monitoring, and assistive technologies. He has pioneered methodologies for sensor placement in temperature and wind field reconstructions, as well as hybrid algorithms for feature construction in supervised learning.

• Optimization
• Metaheuristics
• Machine Learning
• +7 more

Asrul Ismail is a Senior Research Associate in Operational Research at the School of Mathematics & Physics, University of Portsmouth. His research focuses on optimization, metaheuristics, machine learning, and their applications in autonomous systems, manufacturing logistics, and renewable energy. He holds a PhD from the University of Birmingham (2021), with earlier degrees in Industrial Engineering from Bandung Institute of Technology (2009) and Gadjah Mada University (2004). His academic career began in 2005 as a Teaching Assistant in Indonesia. He joined the University of Portsmouth in 2022 for the UKRI-funded DR-SUIT project, developing UAV-USV coordination for offshore windfarm inspections. He is involved in EU Horizon 2020 projects ARC-SAR and AI-ARC, addressing Arctic security and AI-driven control systems. Research interests span metaheuristic algorithms (e.g., Bees Algorithm variants), vehicle routing problems, and swarm intelligence applications. Key projects include optimizing wind energy feasibility in Indonesia and enhancing collision avoidance systems for UAVs. His work contributes to UN Sustainable Development Goals, particularly in clean energy (SDG 7) and sustainable cities (SDG 11). Notable collaborations include partnerships with European institutions on Arctic emergency preparedness and AI-based control rooms. His publications emphasize practical applications of optimization in logistics, renewable energy, and autonomous systems.

• Biological Robotics
• Modular Robotics
• Marine Automation
• +7 more

Professor Houxiang Zhang holds a faculty position at the Norwegian University of Science and Technology (NTNU), serving as a Professor in Mechatronics and Deputy Research Leader (Nestleder forskning) at the Department of Ocean Operations and Civil Engineering within the Faculty of Engineering. He joined NTNU in 2011 after completing a Habilitation in Informatics at the University of Hamburg (2011). His research focuses on biological robotics, modular robotics, virtual prototyping, and maritime mechatronics, with over 300 publications and multiple best-paper awards. Academic memberships include the Academy of the Royal Norwegian Society of Sciences and Letters (DKNVS), Norwegian Academy of Technological Sciences (NTVA), and IEEE Senior Member. He has led significant projects such as the EU Horizon-RIA Project "Robotic Safe Adaptation in Unprecedented Situations" and the NFR Research Infrastructure Program "The Digital Ocean Space-Møre Ocean Lab." Research interests span marine automation, AI applications, and hybrid modeling. Notable achievements include pioneering work in digital twin technology for maritime systems and contributions to offshore mechatronics. His lab, the Intelligent Systems Lab, focuses on integrating advanced technologies for marine operations and automation. Recent awards include the 2024 Best Paper Award from IEEE RAS and multiple finalist recognitions at robotics and automation conferences. Current research emphasizes autonomous ship systems, environmental modeling, and data-driven decision support for maritime safety and efficiency.

Pascal MindermannView profile

Researcher

• Coreless filament winding
• Additive manufacturing
• Fiber-reinforced composites
• +3 more

Pascal Mindermann is a postdoctoral researcher at the Institute for Textile and Fiber Technologies (ITFT) within the Cluster of Excellence IntCDC at the University of Stuttgart, Germany. His work focuses on coreless filament winding (CFW) for lightweight structures made of fiber composites, bridging computational design, engineering, and fabrication. Role: Postdoctoral Researcher Department: Institute for Textile and Fiber Technologies University: University of Stuttgart His research explores advanced manufacturing techniques like CFW, with applications in architecture, aerospace, and sustainable construction. Key areas include multi-scalar design frameworks , reciprocal feedback systems , and cross-industry technology transfer . Recent projects address planetary sunshade satellites , hybrid composite/metal structures , and material gradient innovations for space and lunar utilization. Publications highlight CFW advancements in structural performance , sensor integration , and digital workflows . Collaborations span institutions like the Fraunhofer IST and TU Braunschweig, with emphasis on robotic fabrication , cyber-physical systems , and bio-inspired design principles . No explicit scientific awards or student advising details are provided in the texts.

Boris ResnikView profile

Professor

• Geodetic Monitoring
• Structural Health Assessment
• Deformation Analysis
• +3 more

Prof. Dr.-Ing. Boris Resnik is a full professor at Berlin University of Technology (BHT Berlin) in the Department of Civil Engineering and Geoinformation. Born in 1960 in Leningrad, he holds a diploma in Geodesy from the Leningrad Mining Institute (1982) and a doctorate from VNIMI (1990). His academic career spans over two decades at BHT Berlin, with prior positions at Rostock University and Brandenburg Technical University Cottbus. His research focuses on: Geodetic monitoring and deformation analysis Structural health assessment of wind turbine foundations AI and neural network applications in structural monitoring Sensor technologies (MEMS, accelerometers, inclinometers) Automated early warning systems for infrastructure He leads significant projects including the IFAF-funded WEsaFE (2014-2016) on wind turbine foundation monitoring and the DAAD Eastern Partnerships initiative (2018-2023) with Central Asian universities. Publication analysis shows a strong evolution toward AI-driven methodologies since 2019, with recent works focusing on neural networks for real-time structural monitoring, vehicle classification, and vibration analysis. His 2023-2025 publications demonstrate increasing integration of drone-based thermography and advanced sensor networks. No scientific awards are documented in the provided materials. Contact is maintained through resnik@bht-berlin.de, with office at Building D (Civil Engineering) Room D 422.

• Applied mechanics
• Bayesian optimization
• Control co-design
• +7 more

Edoardo Pasta is a Fixed-term Assistant Professor at Politecnico di Torino , affiliated with the Department of Mechanical and Aerospace Engineering (DIMEAS) . He serves as an External Collaborator and contributes to research in applied mechanics, wave energy systems, and data-driven control strategies. Research Focus: Wave energy converters, nonlinear dynamics, robust control, offshore renewable energy, and system identification. Academic Roles: Teaches courses on optimization methods and control systems, serves as a teaching assistant for mechanical engineering programs. Collaborations: Works with institutions including Turin Polytechnic University in Tashkent, Oregon State University, and National University of Ireland, Maynooth. His work integrates control theory with marine energy applications, emphasizing data-driven modeling and optimization. He has contributed to patents and software developments for metocean data analysis and energy systems. Scientific Awards: Best Paper Award - IFAC CAMS 2022 Premio Qualità (2024) from Politecnico di Torino Edoardo Pasta actively participates in editorial boards and conferences, including serving as Guest Editor for APPLIED OCEAN RESEARCH and organizing special sessions at IEEE and IFAC conferences.

Mirjam PernerView profile

Professor

• Geomicrobiology
• Marine Biogeochemistry
• Microbial Ecology
• +7 more

Mirjam Perner is a Professor of Geomicrobiology at GEOMAR Helmholtz Centre for Ocean Research Kiel, affiliated with the Research Area 2: Marine Biogeochemistry and the Department of Marine Geosystems. She has held this W2 professorship since January 2018 and was previously a Junior Professor (Assistant Professor) at the University of Hamburg from 2011 to 2017. Her research is highly interdisciplinary, spanning geomicrobiology, marine biogeochemistry, and environmental microbiology. Her research focuses on microbial communities in extreme marine environments, particularly deep-sea hydrothermal vents. She investigates microbial metabolism related to hydrogen and carbon cycling, enzyme discovery from marine resources, and the role of microbes in biogeochemical processes. A significant recent focus is on benthic weathering as a CO2 removal strategy and microbial impacts on seafloor massive sulfide deposits. She employs advanced techniques such as activity-based metagenomic screening and transcriptomics to study uncultured microbial communities. Her recent publications reveal a strong trend toward climate-relevant research, including carbon dioxide removal strategies like seafloor alkalinity enhancement, microbial responses to hypoxia in the Baltic Sea, and the biogeochemical engineering of coastal sediments. She also continues her foundational work on hydrogen metabolism, carbon fixation pathways like RubisCO, and microbial-mineral interactions in hydrothermal systems. Dr. Perner has received notable recognition including the Zonta Award for Excellence (2014) and the Fulbright Scholarship (1999/2000). She is actively involved in scientific governance, having chaired the Women's Executive Board at GEOMAR (2021–2024) and served on multiple university committees at Christian-Albrechts-Universität (CAU). Zonta Award for Excellence (2014) Fulbright Scholarship (1999/2000) Education Abroad Program (1999/2000) She mentors a research group including PhD and postdoctoral researchers, many of whom are co-authors on her publications. Her work is supported by major funding agencies such as the German Science Foundation (DFG), National Science Foundation (NSF), French National Research Agency (ANR), and Schmidt Ocean Institute. She leads and participates in international research expeditions aboard vessels like RV Sonne, RV Meteor, and RV Pourquoi Pas?, often involving student researchers. Her lab contributes to global efforts in understanding marine microbial ecosystems and their applications in biotechnology and climate solutions. Dr. Perner leads a dynamic research team focused on marine geomicrobiology and biogeochemistry. Her group conducts fieldwork on research cruises, performs laboratory experiments on microbial metabolism, and applies metagenomic and bioinformatic tools to explore uncultured microbial diversity. The team investigates both fundamental microbial processes and applied environmental challenges, positioning their work at the intersection of basic science and global sustainability.

Zeeshan RanaView profile

Research Fellow

• Autonomous Systems
• Computational Fluid Dynamics
• Computing, Simulation & Modelling
• +4 more

Dr. Zeeshan Rana MSc, PhD, FHEA, MIET, MPEC is a Research Fellow at Cranfield University with expertise spanning Computational Fluid Dynamics , Autonomous Systems , and Artificial Intelligence Applications . His research focuses on high-speed aerodynamics , drone tracking systems , and renewable energy fluid dynamics . Education : MSc in Mechanical Engineering PhD in Computational Fluid Dynamics & Aerodynamics (Cranfield University) His work bridges hypersonic flow analysis with practical applications in Formula One aerodynamics , planetary rover navigation , and textile wastewater treatment . Recent research integrates machine learning with CFD simulations to solve complex engineering problems. Scientific trends in his publications (2025–2013) reveal consistent focus on: Computational Aerodynamics (ILES, WENO schemes, SU2 validation) Autonomous Systems (drone tracking, visual SLAM, sign language modeling) Renewable Energy (VAWT turbines, microbial fuel cells) Scientific Contributions: Fellow of the Higher Education Academy (FHEA) Member of the Institution of Engineering and Technology (MIET) Member of the Professional Engineering Community (MPEC) Current affiliations include the Digital Aviation Research and Technology Centre (DARTeC) , contributing to reinforcement learning-based surveillance and multi-sensor fusion systems for drone tracking.

Martin KjærView profile

Researcher

• Power Electronics
• Renewable Energy Systems
• Reliability Engineering
• +3 more

Martin Kjær is a Postdoctoral researcher at Aalborg University specializing in power electronics, reliability engineering, and renewable energy systems. His work focuses on medium voltage power converters, silicon carbide (SiC) MOSFETs, electrolysis technology, and the reliability of power electronic devices in renewable energy applications. Research keywords: Power Electronics, Renewable Energy, Reliability Engineering, Silicon Carbide Devices. Research Trends: Recent publications highlight his expertise in SiC MOSFET-based medium voltage systems (2023–2025), including converter control strategies, electrolysis integration, and parasitic capacitance mitigation. His work spans technical domains (device testing, magnetic components) to system-level economic modeling (wind-solar-hydrogen systems). Collaborations: Works with researchers like M. R. Nielsen, H. Zhao, and S. Munk-Nielsen on projects involving high-voltage converters, hydrogen energy systems, and semiconductor device optimization.

Matthew MarshallView profile

Professor

• Tribology
• Contact Mechanics
• Wear and Friction
• +4 more

Matthew Marshall is a Professor in the Department of Mechanical Engineering within the School of Mechanical, Aerospace and Civil Engineering at the University of Sheffield. He has served in this department since December 2008 and is an active member of the Leonardo Tribology Centre, specializing in industrial wear, lubrication, and metrology tool development. His work bridges aerospace, railway, and manufacturing sectors with significant industry collaboration. Education: First Class MEng (Hons) in Mechanical Engineering from University of Sheffield PhD in Tribology Research interests focus on experimental and analytical solutions to industrial tribology challenges. Key areas include aero-engine abradable lining wear (with Rolls-Royce collaboration), ultrasound-based contact pressure measurement for railway wheel-axle interfaces and bolted joints, and high-speed friction testing in cutting tool applications. His group develops novel metrology platforms like a 100 m/s blade test rig for compressor seals and lathe-based friction measurement systems replicating industrial machining conditions. Article trends (2019-2024) reveal sustained aerospace tribology work on abradable coatings and compressor wear, alongside growing railway engineering contributions in rail grinding and wheel-rail contact optimization. Manufacturing tribology publications dominate his recent output, emphasizing micro-milling tool wear and cryogenic friction testing. Ultrasound metrology remains a unifying thread across all domains, particularly for dynamic contact analysis. Grants and collaborations: Rolls-Royce Plc. projects on composite abradable labyrinth surfaces (£7,460, 2009) and compressor lining wear testing (£8,120, 2009) Combustion casing standard features project with Rolls-Royce (£35,000, 2009) Royal Society grant for ultrasonic characterization of bolted joints (£14,530, 2009) Knowledge Transfer Project Fund for cryogenic cutting tool friction research (£8,360, 2009) Northern Way Innovation Program for multi-life bearing development (£33,040, 2009) He teaches MEC411 Tribology of Machine Elements to undergraduate and postgraduate students, applying his industry-tested methodologies directly to curriculum development. His research group maintains strong ties with Rolls-Royce and the Advanced Manufacturing Research Centre (AMRC). Labs and teams: His primary affiliation is with the Leonardo Tribology Centre, which develops metrology tools for industrial wear problems. Current projects include wind turbine bearing wear analysis, dynamic contact pressure measurement systems, and aero-engine component testing rigs with Rolls-Royce.

Dirk ReithView profile

Research Professor

• Molecular Simulation of Soft Matter
• Computational Fluid Dynamics (CFD)
• Lattice-Boltzmann Method
• +7 more

Prof. Dr. Dirk Reith is a Research Professor at the Department of Engineering and Communication , Bonn-Rhein-Sieg University of Applied Sciences. He serves as Director of the Institute of Technology, Resource Conservation and Energy Efficiency (TREE) and holds roles such as Senior Consultant at Fraunhofer SCAI and Presidential Representative for Institutional Research Collaborations. Reith is also a Faculty Advisor for the BRS Motorsport (Formula Student) team. Education: Physics and Mathematics at Johannes Gutenberg University Mainz and Uppsala University, Sweden. Research Focus: Molecular simulations of soft materials (polymers, ionic liquids), computational fluid dynamics (Lattice-Boltzmann), fluid-structure interaction, and innovative engineering education methods like Problem-Based Learning (PBL) and peer mentoring. Leadership: Director of TREE Institute, co-founder of Digital Twin-4-Multiphysics Lab (Fraunhofer SCAI, Reinold Hagen Foundation), and active in interdisciplinary projects such as PAExSiDur (polymer aging), KIMODE (AI-optimized design), and UMMBAS (molecular modeling for biochemical applications). Awards: Recipient of the 2020 Teaching Prize at H-BRS for integrating peer teaching in Formula Student projects. Collaborations: Visiting Professor at UC Davis (2017), partnerships with GKN Driveline, Yarmouk University, and DFG-funded initiatives. Reith's work bridges computational methods, sustainability, and education, with projects like TRE³L (hydrogen energy lab) and ROFEE (resource-efficient e-mobility) highlighting his commitment to applied research and resource conservation.

Aaron BradshawView profile

Professor

• Marine Geotechnics
• Soil-Structure Interaction
• Offshore Engineering
• +2 more

Dr. Aaron Bradshaw is a Professor in the Department of Civil and Environmental Engineering at the University of Rhode Island. His research focuses on marine geotechnics, soil-structure interaction, and dynamic properties of soils, with applications to offshore wind energy infrastructure and geotechnical hazards. He holds a Ph.D. in Civil Engineering (URI, 2006), M.S. in Ocean Engineering (URI, 1999), and B.S. in Civil Engineering (Tufts University, 1996). His core research areas include: Offshore foundation systems for renewable energy Soil-anchor interaction mechanics Liquefaction behavior of marine sediments Geotechnical instrumentation and field monitoring Performance of infrastructure during earthquakes Bradshaw's recent publications demonstrate strong focus on offshore wind turbine foundations, anchor behavior in marine sediments, and advanced geotechnical monitoring techniques. His work frequently involves large-scale field testing and computational modeling of soil-structure systems. Awards: Young Professor Paper Award, Deep Foundations Institute (2015) Recent Grants: 2023: PI for DOE Phase IIB offshore site investigation tool 2022: Co-PI for CVOW Structural Monitoring Program 2022: PI for Triton Anchor commercialization 2021: Co-PI for physics-based digital twins project 2020: PI for Triton Anchor System development He leads multiple industry-collaborative projects focused on advancing offshore renewable energy infrastructure.