جست‌وجوی استاد و پژوهشگر

Anna Lidfors Lindqvistمشاهده پروفایل

مدرس

• Vehicle Dynamics
• Control Systems
• Net-zero Emission Technologies
• +۳ مورد دیگر

Dr. Anna Lidfors Lindqvist is a Lecturer at the School of Mechanical and Mechatronic Engineering, University of Technology Sydney (UTS), where she specializes in vehicle dynamics, control systems, and engineering education innovation. She holds a PhD from UTS (2018-2022) focused on vehicle dynamics and solar-electric vehicles, and is fluent in Swedish. Since December 2022, she has served as a full-time lecturer, previously contributing as a Curriculum Developer (2021-2023) where she redesigned engineering programs and integrated sustainable principles into curricula. Her research bridges mechanical engineering and pedagogical innovation, with dual focuses on: Net-zero technologies: Developing stability control systems for solar-electric vehicles, vibration analysis in transportation, and lightweight vehicle dynamics under variable loads Educational reform: Creating AI-integrated project frameworks (PAIIF), implementing formative sprints for feedback, and designing authentic assessment methods like threshold exams Publication analysis reveals consistent themes in vehicle control systems (SMC/MPC applications) and transformative engineering education frameworks, with recent expansion into AI-driven curriculum design. Awards & Honors: Citation for Outstanding Early Career Contribution to Engineering Education (2024) UTS Vice-Chancellor’s Early Career Teaching Award (2023) AAEE Academy Fellowship (2023) IEEE VTS NSW Research Contest prizes (2021) Higher Degree Research Excellence Award (2019) She coordinates the Mechanical Design Fundamentals Studio 1 course using Agile-inspired sprints, supervises Capstone students, and secured the 'UTS Wool Bioharvesting' grant (2024-2027). Previously managed the Australian Technology Network Solar Car team.

Müjde Güzelkayaمشاهده پروفایل

استاد

• Control Systems
• Fractional Order Control
• Fuzzy Logic Control
• +۷ مورد دیگر

Müjde Güzelkaya is a Professor in the Department of Control and Automation Engineering at Istanbul Technical University (ITU), Faculty of Electrical and Electronic Engineering. She has been a prominent figure in the field of control systems since at least 1983, with over 108 research outputs and an h-index of 30. Her research spans fractional-order control, intelligent systems, and optimization algorithms. She leads multiple active research projects funded by ITU's BAP program and serves as principal investigator on initiatives involving federated learning, robust control, and uncertainty quantification. Her research interests are deeply rooted in control theory and automation , particularly in the design and optimization of controllers using fractional calculus , fuzzy logic , and metaheuristic algorithms like the Big Bang–Big Crunch method. She applies these techniques to diverse domains such as robotics, structural protection, and industrial automation. Her work emphasizes both theoretical development and practical implementation, as seen in applications to quadcopters, building seismic protection, and DC motor control. The most recent articles reflect a strong trend toward integrating fractional calculus with machine learning and distributed intelligence , particularly in system identification and adaptive learning frameworks. Her publications consistently focus on enhancing control performance, robustness, and adaptability in complex, nonlinear systems. Scientific Awards and Recognition: No specific awards are listed in the provided text. Advising and Grants: She is actively mentoring graduate students, with 50 theses currently in progress under her supervision. She has secured multiple competitive research grants, including: Federated Learning-Based System Identification and Uncertainty Quantification (2025–2027) Robust and Adaptive Loss Functions Using Fractional Calculus (2024–2025) Intelligent Systems and Fractional Order Controller Design (2023–2026) Controller Design for Fractional Order Systems (2018–2021) These projects highlight her leadership in cutting-edge control research. Labs and Research Teams: While specific lab names are not mentioned, her role as PI on multiple projects and her extensive collaboration network suggest she leads a research group focused on intelligent control and fractional-order systems at ITU. Her work involves interdisciplinary collaboration across engineering domains.

• Power Electronics
• Control Systems
• Microgrids
• +۷ مورد دیگر

Antonio Camacho Santiago is a researcher at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Systems, Automation, and Industrial Informatics. He is a key member of the SEPIC (Sistemes Electrònics de Potència i de Control) and AGROTECH-UPC research groups, contributing to advancements in power electronics, microgrid control, and industrial automation. His work spans multiple campuses including Vilanova i la Geltrú and Diagonal Sud, and he collaborates extensively within UPC's engineering schools. His research focuses on control strategies for distributed generation, voltage support in microgrids, power quality enhancement, and fault ride-through capabilities of inverters. He has made significant contributions to the design of control systems under unbalanced grid conditions and the integration of renewable energy sources into smart grids. His research also extends to agrivoltaics and intelligent traffic systems, reflecting interdisciplinary innovation. The analysis of his recent publications reveals a strong trend in the development of advanced control algorithms for power electronic systems, particularly in islanded and grid-connected microgrids. His work emphasizes robustness, efficiency, and compliance with grid standards, often employing sliding mode control, complex power sharing, and resonant control techniques. There is a clear trajectory toward intelligent, adaptive, and distributed control architectures for future energy systems. Antonio Camacho Santiago has supervised doctoral research, including the thesis of José Ignacio Iñiguez Amigot, and has participated in numerous competitive R&D projects funded by national and European programs such as HORIZON EUROPE and the Spanish State Research Plans. His collaborative network includes prominent researchers like Miguel Castilla, Jaume Miret, Manuel Velasco, and Josep Maria Guerrero, indicating active engagement in large-scale research initiatives. He is involved in laboratory development for real-time control systems and has contributed to educational innovation projects, such as enhancing interactive teaching in the ATENEA platform. His work bridges theoretical control design with practical implementation in networked and embedded systems, supporting both academic training and industrial applications.

Acho Zuppa, Leonardoمشاهده پروفایل

استاد

• Control Systems
• Nonlinear Systems
• Engineering Applications
• +۳ مورد دیگر

Leonardo Acho Zuppa is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Mathematics and the Escola Superior d'Enginyeries Industrial, Aeroespacial i Audiovisual de Terrassa (ESEIAAT). His research focuses on Control Systems, Nonlinear Dynamics, and their applications in biomedical engineering, structural control, and robotics. He leads the OMGRAPH research group (Optimisation Methods on Graphs) and has contributed extensively to projects in EIT device development for medical imaging, vibration control in mechanical systems, and renewable energy systems. Key research interests include the design of advanced control algorithms for nonlinear systems, optimization methods on graphs, and interdisciplinary applications in healthcare and civil engineering. His work spans theoretical contributions to practical implementations, such as the development of electrical impedance tomography (EIT) devices for early breast cancer detection and robust control strategies for wind turbines. Dr. Acho has collaborated with institutions like the MAPTHE group and has secured multiple competitive R+D+i grants. His recent projects emphasize innovation in biomedical technology and sustainable energy solutions. He is actively involved in mentoring students and has co-advised theses on adaptive control and nonlinear systems.

Orest Iftimeمشاهده پروفایل

دانشیار

• Applied Mathematics
• Control Theory
• Systems and Control
• +۳ مورد دیگر

Orest Iftime is an Associate Professor in Applied Mathematics at the University of Groningen, affiliated with the Department of Economics, Econometrics, and Finance under the Faculty of Economics and Business. He holds a PhD from the University of Twente (2002) and has held academic positions since 2004, including roles at Delft University of Technology and the University of Groningen. His research focuses on control theory, systems and control engineering, optimization, and model reduction. Education: PhD (2002) and MSc/BSc from 'Al. I. Cuza' University, Iasi, Romania Awards: IEEE Outstanding Reviewer (2012), NWO Grants (2011–2022), Automatica Reviewer Award (2008) Research interests include moment matching, sliding mode control, PDE control, and robust control systems. Over 60 publications across conferences like CDC and ECC, and journals like Automatica. Active in teaching courses like Matrix Analysis, Stochastic Models, and Mathematics for Economics. Grants: Multiple NWO projects (2008–2022) Professional Experience: Postdoc (2002–2004), Lecturer/Researcher roles across institutions

• Robotics
• IoT Security
• Brain-Computer Interfaces
• +۳ مورد دیگر

Dr. Usman Ghafoor is a researcher specializing in robotics, IoT security, and neuroengineering. His work bridges machine learning with biomedical systems, focusing on brain-computer interfaces (BCIs), neuromodulation, and robotic control mechanisms. Key Research Areas: Robotics, IoT Malware Detection, Hybrid EEG-fNIRS Systems, Deep Learning Applications His recent publications highlight interdisciplinary approaches to multibody robot control, neurorehabilitation, and real-time BCI optimization. Collaborative work with experts like Keum-Shik Hong demonstrates his integration into cutting-edge neuroscience and robotics projects. While specific institutional affiliations are not detailed in the provided text, his contributions to journals such as Robotics , Scientific Reports , and Frontiers in Neurorobotics indicate significant academic engagement.

Alireza Mousaviمشاهده پروفایل

استاد

• Digital Transformation
• Industry 4.0
• Smart Manufacturing
• +۶ مورد دیگر

Professor Alireza Mousavi is affiliated with Brunel University in the College of Engineering, Design and Physical Sciences , where he contributes to research and teaching across Mechanical and Aerospace Engineering , Computer Science , and Electronic and Electrical Engineering departments. A graduate of Tehran Azad University (BEng, 1994) and Brunel University (PhD, 2000), he has taught modules in Systems Modeling , Machine Learning , Embedded Systems , and Control Theory to international cohorts since 2002. His research focuses on Digital Transformation for Industry 4.0 Smart Manufacturing Systems Predictive Maintenance AI-Driven Automation Sustainable Supply Chains leveraging technologies like Sensors/Actuation , SCADA , and Machine Learning . Recent publications address challenges in autonomous vehicle safety , laser module assembly analytics , and PCB component recognition , reflecting his expertise in real-time industrial systems. He leads the Brunel Centre for Digital Manufacturing and has secured over £20M in grants from EU, UK, and US agencies. Scientific contributions include the Newton Advanced Fellowship (2015-2020) and collaborative projects in wastewater management , microelectronics , and photonics . His mentorship spans 15+ PhD students in areas like human network modeling and predictive industrial control .

Alexey Vladimirovich Kolovskyمشاهده پروفایل

دانشیار

• Electric Power Engineering
• Automatic Control Systems
• Electrical Machines
• +۷ مورد دیگر

Alexey Vladimirovich Kolovsky is an Associate Professor and Head of the Department of Electric Power Engineering, Mechanical Engineering and Automobile Transport at the Khakass Technical Institute (branch of Siberian Federal University). He has 17 years of professional experience and holds a Candidate of Technical Sciences degree in Electric Power and Electrical Engineering (13.03.02). His teaching includes theory of automatic control, electric machines, and transient processes in power systems. Education: Khakass Technical Institute (2006), qualification: Engineer Advanced Training: Inclusive Education (2023), Mentoring Programs (2022), E-learning Technologies (2021-2020) Research Focus: Control systems for electric drives using sliding modes, transient processes in power systems, renewable energy integration, and power quality improvement. His work connects theoretical control methods with practical applications in mining and rural electrification. Recent Publications: Address non-linear load modeling, voltage quality optimization in coal mines, 35 kV network capacity enhancement, and small-scale solar power implementation in Khakassia. Scientific Awards: 8 recognitions from 2016-2024, including Ministry of Energy and Public Chamber honors Grants: Participated in 4 research projects (2008-2009) focused on stochastic electrical systems and predictive control Labs: Leads Scientific and Research Laboratory 'Dendroecology and Environmental Monitoring'

Özkan Bebekمشاهده پروفایل

دانشیار

• Medical Robotics
• Mechatronics
• Biomedical Measurement
• +۴ مورد دیگر

Özkan Bebek is an Associate Professor in the Faculty of Engineering at Ozyegin University, specializing in Medical Robotics and Mechatronics. He holds a Ph.D. in Systems and Control Engineering from Case Western Reserve University (2008), an M.S. in Mechatronics from Sabanci University (2003), and a B.S. in Mechanical Engineering from Middle East Technical University (2001). Ph.D.: Systems and Control Engineering, Case Western Reserve University (2008) M.S.: Mechatronics, Sabanci University (2003) B.S.: Mechanical Engineering, Middle East Technical University (2001) His research focuses on medical robotics , mechatronics , biomedical measurement , and haptic systems . Recent publications highlight advancements in exoskeleton design, 3D printing optimization, and soft-landing actuation systems. He has directed the Ozyegin University Robotics Laboratory , contributing to innovations in robotic-assisted surgery and wearable technologies. Notable scientific achievements include the Outstanding Graduate Student Research Poster at Research ShowCASE 2005. He has mentored students in projects spanning robotic biopsies, exoskeleton locomotion control, and intelligent actuator systems.

Alireza Abbasimoshaeiمشاهده پروفایل

پژوهشگر ارشد

• Robotics
• Haptics
• Rehabilitation Engineering
• +۵ مورد دیگر

Dr.-Ing. Alireza Abbasimoshaei is a postdoctoral researcher at the Hamburg University of Technology (TUHH), affiliated with the Institute of Mechatronics in Mechanical Engineering (M-4) . His work focuses on robotics, haptics, and rehabilitation engineering. Current role: Research Fellow at TUHH Past roles: Visiting scientist at TU Braunschweig; Doctoral student at Tarbiat Modares University Education: Master's in Mechanical Engineering (University of Tehran); Bachelor's in Mechanical Engineering (Mazandaran University) Research Interests : Specializing in robotics , haptics , and rehabilitation engineering , his work bridges advanced robotic systems with practical applications in telerehabilitation, telemedicine, and assistive technologies. Key areas include: Wearable robotic devices Cloud-based control systems Immersive virtual rehabilitation environments Intelligent control strategies DevOps/Cloud development Publications & Research Trends : With over 30 peer-reviewed publications, his work spans tactile interaction optimization, sensor integration, and control system development. Recurring themes include haptic feedback mechanisms, AI-driven rehabilitation systems, and wearable PCB implementations. Scientific Awards : First place in Iranian World Robot Olympiad Elite Awards from National Elite Foundation of Iran Secured BMBF and DFG funding Social Innovation Award (Hamburg Maker Challenge) Hamburg Teaching Award for hybrid lectures Teaching & Mentorship : Lecturer in courses like Applied Mechatronic Design Methodology and Haptic Technologies , he has supervised over 40 students in projects ranging from Ultrasound haptic devices Eye-tracking control systems Whisker sensor development Exoskeleton design Labs & Projects : Co-developer of TUHH's Haptics Lab and the VRobotia educational robotics platform.

Taufikمشاهده پروفایل

استاد

• Power Electronics
• Power Systems
• Rural Electrification
• +۳ مورد دیگر

Taufik is a tenured Professor in the Electrical Engineering Department at California Polytechnic State University, where he also serves as Director of the Electric Power Institute. His expertise spans power electronics, power systems, and rural electrification technologies. Ph.D., Cleveland State University M.S., University of Illinois Chicago B.S., Northern Arizona University Research focuses on DC-DC converter design, renewable energy integration, smart grid technologies, and microgrid systems. He pioneered the DC House project for rural electrification using low-voltage DC distribution. His publications cover power electronics applications in renewable energy systems, energy harvesting, and converter optimization. Collaborations include international prototypes in Indonesia and the Philippines. 2012 ASEE-PSW Outstanding Teaching Award IEEE Senior Member With 4 US patents, 2 books, and over 250 publications, he also has extensive industry experience at companies like Capstone Microturbine and Renewable Power Conversion.

• Unmanned Aerial Vehicles
• Control Systems
• Sliding Mode Control
• +۴ مورد دیگر

Xuan Mung Nguyen serves as Professor in the Department of Aerospace Engineering at Sejong University, where he leads research in advanced control systems for unmanned aerial vehicles and spacecraft. His work bridges theoretical control engineering with practical aerospace applications, maintaining active collaborations across multiple engineering disciplines. Dr. Nguyen's research focuses on disturbance observer techniques , finite-time control systems , and attitude tracking algorithms for UAVs and spacecraft. His expertise spans both theoretical development of control laws and experimental validation, with particular emphasis on handling external disturbances and system constraints. The fingerprint analysis reveals dominant specialization in Quadcopter Engineering (100%) and Unmanned Aerial Vehicle systems (39%), with significant contributions to Sliding Mode Control (28%) and Computer Simulation (25%). Analysis of his recent publications shows an evolving research trajectory that increasingly integrates machine learning with traditional control theory. While maintaining core focus on aerospace control systems, his 2024-2025 work demonstrates expanding applications into computer vision for agriculture and cybersecurity, reflecting the transferable nature of his disturbance observer methodologies. Professor Nguyen maintains active research collaborations across national boundaries, as evidenced by his co-authorship on interdisciplinary projects spanning plant disease recognition and malware propagation modeling. His publication metrics show growing impact, with several papers receiving notable attention including blog mentions and news coverage.

Vera Colomboمشاهده پروفایل

پژوهشگر

• Biomechanics
• Temporomandibular Joint Disorders
• Orofacial Pain Research
• +۳ مورد دیگر

Vera Colombo is a Senior Researcher at the Center for Dental Medicine of the University of Zurich, where she leads the Physiology and Biomechanics Group within the Clinic of Masticatory Disorders and Dental Biomaterials . Her work focuses on biomechanical factors in temporomandibular joint (TMJ) disorders and orofacial pain, utilizing interdisciplinary approaches such as computational models and in vitro soft tissue testing. Research Highlights: She develops innovative biosignal assessment methods for masticatory muscle activity, with applications in both laboratory and field settings. Her projects include the implementation of a Sensor Data Analysis Pipeline and collaborative work on the UZH Entrepreneur Fellowship -winning MutaDent initiative. Her publications span from 2008 to 2024, emphasizing TMJ kinematics, dental biomaterials, and pain monitoring technologies. Scientific Collaborations: Her research frequently involves partnerships with key figures like Prof. Mutlu Özcan and Dr. Aleksandra Zumbrunn Wojczyńska, reflecting her integrated role in the Faculty of Medicine at the University of Zurich.

Jamshed Iqbalمشاهده پروفایل

مدرس ارشد

• Robotics
• Mechatronics
• Control Systems
• +۳ مورد دیگر

Dr. Jamshed Iqbal is a Senior Lecturer at the University of Hull , affiliated with the School of Digital and Physical Sciences and the Computer Science department . With over two decades of experience in academia and industry, he leads the BEng/MEng Robotics and AI program and contributes to pedagogical innovation via the CDIO framework.

Richard Bucknallمشاهده پروفایل

استاد

• Marine Systems
• Low Carbon Technologies
• Electrical Propulsion
• +۵ مورد دیگر

Professor Richard Bucknall is the Head of the Department of Mechanical Engineering at University College London (UCL), holding the Kennedy Chair of Mechanical Engineering. His career spans academic and industry roles in marine systems, electrical propulsion, and sustainable technologies. PhD in Marine Electrical Engineering (Royal Naval Engineering College, 1995) BEng (University of Plymouth, 1988) HNC (City of London Polytechnic, 1980) His research focuses on applied marine engineering , low-carbon ship propulsion , autonomous maritime systems , and hydrogen/fuel cell technologies . Recent work includes energy management frameworks for hybrid ships, path planning algorithms for USVs, and thermal design of superconducting marine systems. Key trends in his publications involve AI-driven control systems , hybrid propulsion optimization , and ocean current-adaptive robotics , reflecting interdisciplinary approaches to maritime sustainability. Co-Editor for IMarEST (2010-present) BSI Office Holder (2010) Member of IEEE and IET He led the MSc Marine Engineering program (1995-2023) and served as Vice Dean for Research at UCL Engineering Faculty (2020-23). His work bridges academia and industry through consultancy and collaborative projects.