جست‌وجوی استاد و پژوهشگر

Mahmut Faruk Akşitمشاهده پروفایل

استاد

• Renewable Energy Systems
• Turbomachinery
• Brush Seal Technology
• +۶ مورد دیگر

Assoc. Prof. Mahmut F. Aksit is a Faculty Member at the Mechatronics Engineering department of Sabancı University's Faculty of Engineering and Natural Sciences . He holds a Ph.D. in Mechanical Engineering from Rensselaer Polytechnic Institute (1998) and has over 25 years of experience in academia and industry. Ph.D. in Mechanical Engineering, Rensselaer Polytechnic Institute (1998) M.S. in Mechanical Engineering, Rensselaer Polytechnic Institute (1993) B.S. in Mechanical Engineering, Boğaziçi University (1991) His research spans renewable energy systems , turbomachinery seals , unmanned aerial vehicles , and high-temperature material behavior . He has developed innovative solutions for wind turbine infrastructure , micro-hydro systems , and quad tilt-wing UAVs . Recent publications focus on 3D thermo-elastohydrodynamics , cloth seal leakage performance , and friction characteristics of superalloys . His work combines computational modeling with experimental validation, particularly in tribology and fluid dynamics . Elected Vice President of ASME Turkey Executive Committee (2009) Graduating Class Award, Sabancı University (2009) ASME Gas Turbine Institute Heat Transfer Technical Committee (2006) He has led projects on hydrogen sealing systems , brush seal contact loads , and automated fabric labeling systems , supported by TUBITAK, EUAS, and industry partners. His team collaborates internationally on gas turbine lubrication systems and renewable energy solutions .

• Smart Grids
• Distributed Systems
• Energy Management
• +۴ مورد دیگر

Dr. Daniel Brettschneider is a researcher at the Osnabrück University of Applied Sciences , affiliated with the School of Engineering and Computer Science and the Laboratory for High Frequency Technology and Mobile Communications . His work focuses on distributed systems for smart grids and energy management. Research Interests: Smart Grids and Distributed Energy Management Privacy Preservation in Energy Systems Context-sensitive Services and Mobile Applications Communication Requirements for Distributed Algorithms Cluster-based Energy Optimization Integration of Power, Heat, and Communication Networks Article Trends: His publications (2011-2016) emphasize smart grid algorithms, privacy-preserving protocols, context-aware mobile systems, and simulator development for multi-domain energy networks. Keywords include distributed computing, homomorphic encryption, and cooperative energy systems.

Alexander Verlمشاهده پروفایل

استاد

• Industrial Robotics
• Control Engineering
• Mechatronics
• +۵ مورد دیگر

Prof. Dr.-Ing. Alexander Verl is a leading academic at the University of Stuttgart , serving as Principal Investigator at the Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) . His work bridges control engineering , industrial robotics , and digital twin technologies to enhance precision in manufacturing systems. Research Interests : Improving positioning accuracy of industrial robots through transmission error modeling and compliance compensation. Developing adaptive preload control mechanisms for cable-driven parallel robots and rack-and-pinion systems. Advancing IT/OT convergence via Time-Sensitive Networking (TSN) and cloud-edge integration. Creating digital twin platforms for real-time simulation and quality monitoring in CNC machining. Exploring deep learning applications for perception of deformable linear objects in automation. Recent Work Trends show expertise in: smart manufacturing , Industry 4.0 , and data-driven control systems . Publications emphasize practical validation through industrial testbeds (e.g., KUKA KR210–2 robotics, CNC machine simulations) and theoretical contributions to elastokinematic models and nonlinear dynamics . Advising & Grants : Collaborates extensively with researchers like Armin Lechler and Michael Neubauer. Projects funded through academic-industry partnerships in automotive production, precision engineering, and Gaia-X-based data ecosystems.

Mohsen Ghavamiمشاهده پروفایل

مدرس

• Thermodynamic Power Cycles
• Supercritical CO2
• Organic Rankine Cycles
• +۴ مورد دیگر

Mohsen Ghavami is a Lecturer in Engineering at City St George's, University of London , with a focus on thermodynamic power cycles and energy storage technologies. He obtained his PhD in 2017 from City, University of London, specializing in thermo-economic optimization of solar-powered micro gas turbines as part of the European Commission-funded OMSoP project . His post-doctoral work (2017–2024) included experimental research on thermodynamic cycles in projects like SolGATS , NextORC , and SCOtWoHR . PhD , Mechanical Engineering, City, University of London (2017) MSc , Mechanical Engineering (Energy Conversion), University of Tabriz (1997) BSc , Mechanical Engineering, University of Tehran (1993) His research interests center on thermodynamic power generation cycles (open/closed Brayton, supercritical CO2, Organic Rankine) and energy storage systems for renewable/waste heat applications. He investigates control strategies for optimizing system operation and design, particularly in compact thermal storage units using phase change materials (PCMs) to reduce system size and cost. Recent publications highlight his work on PCM-integrated heat exchangers, solar dish-engine optimization, and transient flow analysis in turbomachinery. His 2024 Energy paper demonstrated a 438% increase in discharge time via PCM compartments, while ASME Turbo Expo papers (2024, 2019) explore micro gas turbine control and machine learning applications. He has earned a Fellow of the Higher Education Academy and contributes to editorial work as a session organizer at the ASME Turbo Expo. His teaching spans Mechanical Engineering fundamentals , mechatronics, and power propulsion systems at undergraduate and postgraduate levels.

Matthias Tichyمشاهده پروفایل

استاد

• Domain Specific Languages
• Model-Driven Software Engineering
• Self-Adaptive Systems
• +۴ مورد دیگر

Prof. Dr. Matthias Tichy is a Full Professor and head of the Institute of Software Engineering and Programming Languages at Ulm University, Germany, since 2015. His research focuses on domain-specific languages (DSLs), model-driven engineering (MDE), self-adaptive software , and cyber-physical systems , with an emphasis on safety-critical applications and graph transformation formalisms. He employs empirical research methods to evaluate technical contributions and human factors in software engineering. University: Ulm University Role: Professor & Institute Head Research Interests span domain-specific languages for mechatronic systems, collaborative modeling , performance prediction in model transformations, and software evolution in industrial contexts. His work often bridges graph transformations and safety assurance for self-adaptive systems. Recent Publications highlight trends in model versioning (e.g., operation-based caching), DSL design (e.g., flowR for R code analysis), and automotive software testing (e.g., clustering test case specifications). He frequently collaborates with international institutions on topics like cyber-physical systems and IoT resilience . Key Collaborations include projects with Chalmers University, University of Gothenburg, and industrial partners like dSPACE GmbH. His grants and industry partnerships focus on automotive software , robotics , and self-healing systems .

• Mechatronics
• Noise and Vibration Control
• Respiratory Devices
• +۷ مورد دیگر

Philippe Micheau is a Professor and Director of the Centre for Research in Acoustics-Signal-Human (CRASH-UdeS) at Université de Sherbrooke since 2020. His academic career spans multiple institutions including Université de Poitiers and Université de Bordeaux I, with development leaves in France. He holds expertise in mechanical engineering with a focus on mechatronics, noise and vibration control, and respiratory device development. Dr. Micheau earned his PhD in Mechanical Engineering from Université de Poitiers (1995), followed by postdoctoral studies at Université de Sherbrooke (1997). His educational background includes a DEA (1991) and Maîtrise in Electrical Engineering, Electronics, and Automation (1990), all from Université de Poitiers. His research interests center on mechatronics, noise and vibration control, respiratory devices, and modeling and simulation. Dr. Micheau leads significant projects including Inolivent on total liquid ventilation in collaboration with CHUS clinicians, active noise control for airplane engines with Safran Nacelles, and advanced propulsion research with Bombardier Recreational Products. His work bridges engineering principles with medical applications, particularly in developing innovative respiratory support technologies. The research trends in his recent publications demonstrate a strong interdisciplinary approach combining acoustics, biomedical engineering, and respiratory medicine. His work spans from fundamental acoustic source development to clinical applications of liquid ventilation, showing consistent focus on solving complex engineering problems with medical relevance. Bourses de chercheur invité de l'Université de Bordeaux (2018, 2011) 3rd prize of Poster-video presentation at CRIAQ Forum (2014) Certificate of Excellence to the CRIAQ Pioneers (2007) First Place Award at ASME IMECE (2014) First rank at Young Entrepreneur Initiative competition (2007) Meilleure présentation at ACC2001 (2001) Premier prix for CRIAQ 6.1 project (2011) Dr. Micheau has successfully secured substantial research funding as principal investigator from NSERC, FRQNT, MITACS, and industry partners including Safran Nacelles and Bombardier. His collaborative approach is evident in numerous international partnerships, including cotutelle arrangements with French universities and research institutes. Current projects include active control of aircraft engine noise and liquid ventilation for extreme prematurity support. As Director of CRASH-UdeS, he leads a multidisciplinary research team focusing on acoustics, signal processing, and human physiology applications. His laboratory work integrates mechanical engineering principles with medical device development, particularly in respiratory support systems and noise control technologies.

Michael Papoutsidakisمشاهده پروفایل

استاد

• Automatic Control Systems
• Mechatronics
• Industrial Automation
• +۸ مورد دیگر

Professor Michael Papoutsidakis is affiliated with the Department of Industrial Design and Production Engineering at the University of West Attica. His academic career spans research in industrial automation, mechatronics, and intelligent control systems, with a focus on applications in hydraulic/pneumatic systems, robotics, and Industry 4.0 technologies. PhD from Bristol Robotics Laboratory (2004) MSc in Automatic Control Systems from University of the West of England (2004) Graduated from TEI Piraeus Automation Engineering (2000) His research interests include: Modeling of fluid power systems AI-driven control algorithms Smart logistics and ERP systems Embedded systems for motion devices Autonomous robotic platforms Wireless sensor networks in industrial applications Recent publications highlight his work at the intersection of 3D printing, robotics, and Industry 4.0, including advancements in digital twins, biomimetic manufacturing, and drone technology. His research emphasizes practical implementations for industrial and educational contexts. 2005 Patent for robotic training base 2025 Digital Twin Systems research 2024 UAV fuzzy control systems Contact: mipapou@uniwa.gr

• Electric and hybrid electric vehicles
• Plug-in Hybrid Electric Vehicle (PHEV) and Vehicle-to-Grid (V2G) technology
• Wind and solar power generation technologies
• +۴ مورد دیگر

Poria Fajri is an Associate Professor at the University of Nevada, Reno . His research focuses on electric and hybrid electric vehicles, renewable energy systems, and advanced power electronics control. Electric and hybrid electric vehicles Plug-in Hybrid Electric Vehicle (PHEV) and Vehicle-to-Grid (V2G) technology Wind and solar power generation technologies Optimal control of power electronic devices utilized in renewable energy generation Automotive/aerospace power electronics and motor drives Energy management in hybrid systems Mechatronics and robotics Recent publications highlight his work on machine learning applications for power consumption modeling and motor fault detection, hybrid ML-digital twin frameworks for cyberattack differentiation, and GaN-based inverter optimization. His research spans grid resilience, autonomous vehicle energy efficiency, and cybersecurity in smart distribution systems. Key article trends include integrating machine learning with energy systems, advancing V2G technologies, and addressing cybersecurity challenges in smart grids. His work on regenerative braking optimization and power electronics for renewable energy systems demonstrates a focus on sustainable transportation and grid stability.

• Wireless Communication
• Quantum Communication
• Robotics and Mechatronics Systems
• +۱۱ مورد دیگر

Professor TUĞRUL ÇAVDAR is a distinguished academic at Karadeniz Technical University's Faculty of Engineering, Department of Computer Engineering, where he has served as a full Professor since 2024. Previously, he held positions as Associate Professor (2018-2024), Assistant Professor (2007-2018), and Lecturer (2005-2007). He also served as a visiting Assistant Professor at Northeastern University's Electrical & Computer Engineering department from 2012-2013. Currently, he serves as Head of Department at Karadeniz Technical University since 2010, and as Erasmus Program Institutional Coordinator since 2013. Dr. Çavdar completed his Doctorate (1997-2003), Postgraduate (1994-1997), and Undergraduate (1990-1994) studies all in Electronic Engineering at Karadeniz Technical University. His research spans multiple cutting-edge domains including Wireless Communication, Quantum Communication, Robotics and Mechatronics Systems, Humanoid Robots, Quantum Cryptography, Computer Networks, and Artificial Intelligence applications. His work bridges theoretical foundations with practical implementations in next-generation communication systems. His publication portfolio demonstrates a clear progression from traditional communication systems toward quantum and AI-enhanced networking solutions. Early works focused on wireless communication algorithms and robotics, while his recent publications emphasize quantum communication, machine learning applications in networking, and IoT security. His research shows strong interdisciplinary connections between computer engineering, quantum mechanics, and artificial intelligence. 170 H-Index (WoS) 351 H-Index (Scopus) 496 H-Index (Scholar) 3 H-Index (TrDizin) 4 H-Index (Sobiad) Professor Çavdar has supervised 11 theses including 5 doctoral and 6 master's students. He has secured numerous research grants from TÜBİTAK and other funding bodies, with recent projects focusing on quantum communication, AI optimization in composite materials, and autonomous systems. He serves as Editor for the Turkish Journal of Electrical Engineering & Computer Sciences and has been actively involved in reviewing for multiple international journals. His leadership extends to serving on assistant professorship appointment committees for various Turkish universities.

• Embedded Systems
• Hardware-Software Co-design
• Machine Learning
• +۷ مورد دیگر

Claudio Passerone is a Tenured Associate Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino. He is affiliated with the College of Electronic, Telecommunications and Physics Engineering and serves as an Invited Member in the College of Computer, Film, and Mechatronics Engineering. His teaching focuses on electronics for embedded systems across multiple academic cycles. Research interests: Embedded Systems, Hardware-Software Co-design, Machine Learning, Cubesat, and Low-Cost Space Technologies Skills: Computer Architecture, Distributed Systems, Signal Processing, and Machine Learning Applications He supervises Pierpaolo Mori', whose PhD research explores DNN optimization techniques. Passerone contributes to the Nanosatellites research group and leads initiatives in the Zero Robotics competition.

• Exponential models
• Stochastic differential equations
• Stochastic utility maximization
• +۳ مورد دیگر

Barbara Trivellato is an Associate Professor in the Department of Mathematical Sciences (DISMA) at the Polytechnic University of Turin. She serves as a member of the College of Mathematical Engineering, College of Electronic, Telecommunications and Physics Engineering, and as an invited member of the College of Computer, Film, and Mechatronics Engineering. Her research focuses on Exponential models , Stochastic differential equations , and Stochastic utility maximization . As part of the "Probability and Applications" research group, her work spans optimization problems in finance and mathematical statistics. Her expertise aligns with ERC sectors including application of mathematics in sciences, control theory, optimization, mathematical statistics, and probability. Dr. Trivellato's recent publications demonstrate a strong focus on financial mathematics and probability theory. Her work examines mean-variance optimization in insurance contexts, utility maximization using stochastic differential equations, properties of exponential statistical models, and applications to demographic modeling across journals in financial mathematics, applied mathematics, theoretical probability, and physics. Scientific Director for PRIN project "Stochastic methods for expected utility maximization" (2004-2006) Current PhD supervisor for Giulio Cuniberti (Mathematical Sciences, 39th cycle) She teaches Stochastic Processes for Mathematical Engineering and Mathematical Methods for Engineering across multiple engineering disciplines including Physics, Aerospace, Computer, Film and Media, and Management Engineering for academic years through 2025/26.

• Cybersecurity
• Network Security
• Security Automation
• +۴ مورد دیگر

Fulvio Valenza is an Assistant Professor (Fixed-Term Tenure-Track, RTD-B) at the Department of Control and Computer Engineering (DAUIN) , Polytechnic University of Turin . He is a member of the NETGROUP - Computer Networks Group and teaches courses such as Security of next-generation networks and Data Protection, Privacy, and Anonymity across multiple degree programs including Cybersecurity Engineering and Computer and Systems Engineering. Research Interests: Cybersecurity, Network Security, Security Automation, Distributed Systems, Quantum Cryptography Projects: MIRANDA (EU-funded cybersecurity research), Commercial contracts for "ESCAPE" seminar organization Research Trends in his publications focus on security automation in virtualized/cloud environments, formal verification of network policies, and optimization of security configurations for industrial and automotive systems. His work bridges theoretical methods (e.g., formal verification) with practical deployments (e.g., Kubernetes security, VNF placement). Teaching spans both the Polytechnic University of Turin and the University of Eastern Piedmont (2020-2022), covering topics in network security, cloud technologies, and cybersecurity.

• Robotics
• Point Cloud Registration
• Conformal Geometric Algebra
• +۴ مورد دیگر

Adam Leon Kleppe is an Associate Professor at the Norwegian University of Science and Technology (NTNU) , affiliated with the Department of ICT and Natural Sciences. He works extensively with MANULAB , focusing on robotic welding labs and Industry 4.0 labs , handling procurement, planning, installation, and maintenance. His research spans robotics, geometric algebra, point cloud processing, and automation technologies. Education : Master in Engineering Cybernetics with a specialization in robotics from NTNU (2013); Ph.D. (2018) on Point Cloud Registration for Assembly using Conformal Geometric Algebra. Research Interests revolve around robotics, including inverse kinematics, point cloud alignment, obstacle detection, and geometric algebra applications. He also explores automation in manufacturing and aquaculture, such as deformable body modeling for salmon equipment testing and machine vision for fish bin picking. Publication Trends show a consistent focus on geometric algebra-based solutions for robotic tasks, with recent work extending into biomechanical simulation and aquaculture automation. Teaching includes courses like Mechatronics and Systems Integration , Automation and Mechatronics , and Industrial Control Systems . He also contributes to outreach via program management for AI videos on platforms like YouTube and LinkedIn.

• Power Electronics
• Semiconductor Device Physics
• Renewable Energy Technologies
• +۵ مورد دیگر

Samaneh Sharbati is an Associate Professor at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark, and a key researcher at the Centre for Industrial Electronics. Her work focuses on power electronics, semiconductor device physics, and renewable energy technologies. Active research in GaN/SiC power devices for high-voltage and high-frequency applications Specialization in thin-film solar cells (Sb2Se3, CIGS) and optoelectronic devices Developing analytical models for semiconductor charge distribution and breakdown behavior Recent publications highlight trends in wide bandgap semiconductor design and solar cell efficiency optimization. She supervises courses in power electronics, material science, and mechatronics systems. Her projects involve EU-funded chip development initiatives and industry collaborations.

Ali Khosraviمشاهده پروفایل

دانشیار

• Machine Learning
• Energy Systems Analysis and Optimization
• Power-to-X Technologies
• +۷ مورد دیگر

Ali Khosravi is an Associate Professor at the University of Southern Denmark (SDU) , affiliated with the Institute of Mechanical and Electrical Engineering and SDU Mechatronics (CIM) . His work focuses on integrating machine learning with energy systems, particularly in the areas of power-to-X technologies, renewable energy optimization, and thermodynamic systems. Research Interests: Machine learning applications in energy systems Power-to-X technologies (methanol, hydrogen) Thermodynamic analysis and optimization Renewable energy integration and storage Solid oxide fuel cells (SOFC) and electrolysis systems His recent publications span high-impact journals such as Energy , Renewable Energy , and International Journal of Hydrogen Energy , focusing on topics like methanol production from CO₂ and solar hydrogen, stochastic modeling for energy systems, and AI-driven optimization of fuel cell systems. Scientific Awards: Villum Young Investigator Grant (2023) Listed among World's Top 2% Scientists in Energy (2021, 2022) Postdoctoral Fellowship Award (2018) PhD Scholarship Award (2016) Teaching & Supervision: Course instructor for "Mechanical Semester Project 3" Supervisor for Special Course in Mechanical Engineering PhD supervision: M. Lautenschläger, M. Taslimi, N. Mirzakhani, L. Xia, and others Research Labs & Teams: He leads the DDPTX: Deciphering the Dynamics of Power-to-X Systems project (2024–2029), funded by Villum Fonden, and actively participates in several international collaborations including the Denmark & Australian Partnership on Green Hydrogen Value Chains and GREMEOH-Power-to-X.