جست‌وجوی استاد و پژوهشگر

João Afonso Braun Netoمشاهده پروفایل

استادیار

• Autonomous Robotics
• Computer Vision
• Control Theory
• +۳ مورد دیگر

João Afonso Braun Neto is an Assistant Professor at the Polytechnic Institute of Bragança (IPB), affiliated with the School of Technology and Management (ESTiG) and the Department of Electrical and Computer Engineering . He holds a Ph.D. (2024) and dual Master's/Bachelor's degrees (2019) in related fields. His research focuses on autonomous robotics, computer vision, control theory, deep learning, and AI , with over 40 publications in indexed journals and conferences. Affiliations and Roles: - Investigator at Center for Research in Digitalization and Intelligent Robotics (CeDRI) - Co-chair of European RoboCup Junior 2022 - Session chair at OL2A 2023 and ROBOT 2023 conferences - Thesis supervisor and jury member for academic projects Recognition: - Best Doctoral Thesis in Robotics (2024, Portuguese Robotics Society) - PhD with Impact Award (2023/2024) - INPhINIT and FCT doctoral fellowships - Media coverage in major Portuguese newspapers Research Contributions: - Pioneering work on mecanum-wheeled control, LiDAR-based navigation, and AI-driven localization systems - Active in robotics competitions and educational outreach - Collaboration with industry on precision agriculture and smart systems Labs/Teams: - Leading robotics workshops for secondary school teachers - Core member of CeDRI's robotics research initiatives

• Building Physics
• HVAC (Heating, Ventilation, and Air Conditioning)
• Energy Efficiency
• +۴ مورد دیگر

Mohsen Soleimani Mohseni is a Senior Lecturer at Halmstad University , affiliated with the School of Business, Innovation and Sustainability . He serves as Programme Director for the Master's Programme in Energy Smart Innovation in the Built Environment. His research focuses on Building Physics , HVAC Systems , and Energy Efficiency , with a particular emphasis on thermal performance optimization, control strategies for heating systems, and the application of artificial intelligence in climate control. Key research interests include: Thermal modeling of building components and systems Energy-efficient HVAC design and retrofitting Artificial neural networks for climate prediction and control Renovation technologies for sustainable buildings His publications span over 20 years, addressing topics such as transient radiator performance, low-energy building controls, and hybrid heating systems. He has authored technical handbooks like Formelsamling i energiteknik and contributed to international conferences on building automation and energy engineering. Mohsen collaborates on projects integrating smart technologies into building design, emphasizing practical solutions for climate-smart infrastructure.

Leena Bhattacharya Mithalمشاهده پروفایل

دانشیار

• Neonatal/Perinatal Infections
• Microbiome Development
• Host Immune Response
• +۵ مورد دیگر

Dr. Leena Bhattacharya Mithal is an Associate Professor in Pediatrics (Infectious Diseases) at Northwestern University's Feinberg School of Medicine, practicing at Ann & Robert H. Lurie Children's Hospital. Her research focuses on perinatal microbial exposures, immune responses in neonates, and translational interventions for congenital infections like CMV. Clinical specialties include treating severe pediatric infections, transplant-related infections, and sepsis. She holds leadership roles in organizations such as the Pediatric Infectious Diseases Society and Society for Pediatric Research. Education includes a BA from Northwestern University (2004), MD from Feinberg School of Medicine (2008), and Master of Science in Clinical Investigation (2016). Postgraduate training includes residency at Baylor College of Medicine. Research interests span SARS-CoV-2 in pregnancy, microbiome impacts on infant health, and proteomic biomarkers for preterm care. Awards include multiple teaching distinctions from Feinberg and PIDS Fellowship. She edits BMC Infectious Diseases and Annals of Medicine, and leads national initiatives in sepsis outcomes and maternal immunization strategies.

Kemal Uçakمشاهده پروفایل

دانشیار

• Control Engineering
• Nonlinear Systems
• Machine Learning
• +۳ مورد دیگر

Kemal Uçak serves as an Associate Professor in the Department of Control and Automation Engineering at Istanbul Technical University, specializing in advanced control systems and machine learning integration. His research bridges theoretical control engineering with practical applications in nonlinear dynamical systems. Research Interests: Development of adaptive controllers for nonlinear systems using machine learning techniques Integration of support vector regression with classical control frameworks Fuzzy logic applications in MIMO control systems Novel observer designs for system state estimation Hybrid optimization approaches combining evolutionary algorithms and gradient-based methods His publication trend demonstrates consistent innovation in control theory, with recent works focusing on Runge-Kutta based adaptive controllers, LSSVR-integrated optimal control, and fuzzy PID systems. These contributions primarily advance nonlinear control methodologies applicable to industrial automation and robotics. Current Research Activity: Principal Investigator for the active project "Runge-Kutta and Machine Learning Based Adaptive Controller Architecture for Nonlinear Systems" (2024-2026) Collaborations spanning computational intelligence and control engineering domains Development of model-free control strategies reducing dependency on system identification

Ayşen Demirörenمشاهده پروفایل

استاد

• Power System
• Automatic Generation Control
• Superconducting Magnetic Energy Storage
• +۱۵ مورد دیگر

Ayşen Demirören is a Professor in the Department of Electrical Engineering at Istanbul Technical University, where she has been actively contributing to research and academia since at least 1994. Her work spans power systems, control engineering, and intelligent systems, with a strong emphasis on modern grid technologies and optimization. Her research interests include: Power System Protection and Control IEC 61850-based Substation Automation Automatic Generation Control Superconducting Magnetic Energy Storage Artificial Neural Networks in Power Systems Deep Learning for Cyber Attack Detection Fractional Order PID Controller Design Functional Electrical Stimulation Systems Metaheuristic Optimization Algorithms The recent articles show a clear trend toward integrating artificial intelligence and advanced control techniques into both power and biomedical systems. Her work combines simulation, optimization, and real-world application, particularly in smart grids and medical engineering. She frequently collaborates with researchers and students on interdisciplinary projects involving control theory, electrical networks, and computational intelligence. She has received significant scholarly recognition, with over 1,300 citations on Scopus and an h-index of 18. While no specific awards are listed, her publication record in high-quality journals and conferences reflects sustained excellence. She actively supervises graduate students, with 25 theses in progress, indicating a strong mentorship role. Her collaborations span both national and international institutions, though specific partners are not detailed. She does not appear to lead a named lab or research center in the provided text, but her research output suggests an active research group in control and power systems.

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.

Hassan Zargarzadehمشاهده پروفایل

دانشیار

• Robotics
• Intelligent Control Systems
• Power Electronics
• +۷ مورد دیگر

Dr. Hassan Zargarzadeh is an Associate Professor in the Phillip M. Drayer Department of Electrical and Computer Engineering at Lamar University, specializing in Robotics and Intelligent Control Systems. His research spans multiagent systems, underwater robotics, wireless vehicle charging, and adaptive control algorithms. Ph.D. in Electrical Engineering, Missouri University of Science and Technology, 2012 M.S. in Electrical Engineering, Iran University of Science and Technology, 2009 B.S. in Electrical Engineering, Amir Kabir University, 2000 Dr. Zargarzadeh leads the Robotics and Intelligent Control Systems (RICS) Lab, focusing on: Advanced control methods for uncertain nonlinear systems Mechatronics and robotics design Power electronics and vehicle charging systems Swarm robotics and game-theoretic path planning His recent research trends include applying neural networks to autonomous systems, developing vision-based navigation for underwater robots, and optimizing wireless power transfer for electric vehicles. Collaborative projects span environmental monitoring, energy systems, and multiagent control. Scientific contributions include: Best presenter runner-up at ISC-supported research poster presentation, 2010 Top 3% M.S. student in Iran, 2008 National exam rankings in 1995 (top 100) and 2006 (top 800) Advising and grants: Advised 10+ graduate students in robotics and control $35,000 CAPM grant (2017) for bunker fuel optimization $25,000 CAWAQ grant (2016) for invasive species detection

• 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.

Abdussamet Subaşıمشاهده پروفایل

دانشیار

• Thermal Engineering
• Fluid Dynamics
• Nanofluids
• +۵ مورد دیگر

Abdussamet Subaşı is an Associate Professor at the Department of Mechanical Engineering, Istanbul Technical University (ITU), located at the ITU Ayazaga Campus in Istanbul, Turkey. His research focuses on thermal engineering, fluid dynamics, and the application of artificial intelligence in optimizing heat transfer systems and fluid flow problems. Key research interests include nanofluids, multi-objective optimization, heat sink design, and the development of advanced control systems using fuzzy logic and PID controllers. He has contributed to projects involving deep learning for flow field prediction around bluff bodies and genetic algorithms for mini-channel heat exchanger optimization. Subaşı leads or co-leads several projects, including the TUSAŞ AKADEMİ initiative (2024–2029) focused on adjoint optimization for IGBT module cooling designs and a project on renewable energy-based electrical generators (2016–2018). His work often bridges computational modeling with practical engineering solutions, leveraging machine learning and optimization techniques to enhance thermal systems. Publications highlight his expertise in predicting nanofluid properties via neural networks, optimizing heat exchangers, and improving flow control mechanisms. His research has garnered notable citations and collaborations, reflecting his contributions to both academic and applied engineering domains.

• Mechanical Engineering
• Materials Science
• Engineering Education
• +۴ مورد دیگر

Sami Ainane is a Senior Lecturer in the Department of Mechanical Engineering at the University of Maryland, affiliated with the College of Engineering and the Center for Engineering Concepts Development. His research spans technical and educational domains, including erosion-corrosion mechanisms, fluid dynamics, and sustainable engineering education. He has contributed to curriculum development, particularly in integrating sustainability and entrepreneurship into engineering design courses. His technical work focuses on liquid-solid flow erosion, material degradation under impingement jets, and pipeline system modeling. In education, he explores gender equity in STEM, innovative teaching methods, and accreditation-driven program improvements. His articles reflect a blend of experimental and computational approaches to engineering challenges. Notable contributions include studies on NaCl erosion-corrosion effects and collaborative engineering programs. While no specific awards are listed, his work has addressed institutional and educational initiatives such as ABET post-accreditation strategies and women's participation in UAE engineering programs. His advising and grant activities are not explicitly detailed in the provided texts, but his involvement in the Center for Engineering Concepts Development suggests engagement with pedagogical innovation and interdisciplinary teams.

Cédric Bucheمشاهده پروفایل

استاد

• Artificial Intelligence
• Virtual Reality
• Machine Learning
• +۶ مورد دیگر

Cédric Buche is a Professor at the National Engineering School of Brest (ENIB) in France and serves as the R&D Director at Naval Group Pacific in Australia. He holds honorary adjunct professorships at the University of Adelaide and Flinders University, contributing to international research collaborations through his work at CNRS's International Research Lab "CROSSING" in Australia. His research spans artificial intelligence, robotics, and virtual reality, with a focus on adaptive systems and human-robot interaction. He has led projects like RoboCup@Soccer and CHAMELEON2, integrating machine learning with real-world applications in navigation, perception, and decision-making. Buche teaches interactive machine learning at ENIB, emphasizing robot programming via hands-on projects using ROS 2. Students engage in coding exercises involving sensory-motor control, SLAM, and line-following algorithms, applying principles of PID control and computer vision with OpenCV.

• Control Systems
• Automation and Control Engineering
• Process Control
• +۷ مورد دیگر

Ing. Pavel Navrátil, Ph.D. is an Assistant Professor at the Faculty of Applied Informatics , Tomas Bata University in Zlín, affiliated with the Institute of Automation and Control Engineering . His work focuses on control systems, optimization, and simulation of industrial processes. Education: Ph.D. in Technical Cybernetics (2004), Ing. in Automation and Control Technology (2000) Research Interests: Pavel specializes in Multivariable Control Systems , Time Delay Systems , and Energy Optimization . His work applies mathematical modeling and simulation to solve complex problems in industrial automation, district heating, and automotive control systems. He also contributes to Computer-Aided Control Education through innovative low-cost laboratory devices. Publications Trends: His articles emphasize Simulation (6 papers), Optimization (5 papers), and Control Systems (12 papers). Key subfields include Time Delay Stability Analysis , Heat Source Modeling , and Educational Technology Development . Labs & Teams: He works within the Institute of Automation and Control Engineering , collaborating with researchers like Libor Pekař and Jaroslav Balátě on control theory and industrial applications.

• Automation and Control Systems
• Robotics in Agriculture
• Artificial Intelligence in Agriculture
• +۷ مورد دیگر

Assoc. Prof. Ing. Vladimír Cviklovič, PhD. is a full-time Associate Professor at the Slovak University of Agriculture in Nitra, Faculty of Engineering, Institute of Electrical Engineering, Automation, Informatics and Physics. He is also identified as a faculty member of the Department of Electrical Engineering, Automation and Informatics (TF). Research Interests: His work spans automation systems, robotics, artificial intelligence in agriculture, sensor networks, and precision farming. He is particularly active in developing autonomous mobile robotic systems for crop production, integrating AI and computer vision into smart farming applications. Publications & Trends (2025): In 2025 alone, he co-authored five outputs ranging from AI-based evaporation modeling and ultrasonic cow localization to real-time plant segmentation using YOLO on smartphones. These reflect a clear trend toward AI-driven precision agriculture and sensor-based environmental monitoring. Projects & Grants: He currently leads or co-leads 23+ projects funded by VEGA, KEGA, APVV, EIT, Erasmus+, and national recovery programs. Key ongoing projects include autonomous greenhouse-gas mapping around livestock facilities, AI-based disease diagnosis in orchards, robotic tomato harvesting, and integrating Industry 4.0 technologies into engineering education. Supervision & Teaching: He has supervised more than 130 final theses (bachelor, diploma, dissertation) since 2012, with topics covering PID control, robotics, sensor design, renewable energy, and smart systems. His consultation hours are every Thursday 9:00–10:00 in office MF-B_2_Va320.

Edip Öztürkمشاهده پروفایل

استادیار

• Aeronautics
• Aerospace Engineering
• Robotics
• +۴ مورد دیگر

Edip Öztürk is an Assistant Professor at Gaziantep University's Faculty of Aeronautics and Astronautics, Department of Aeronautical and Aerospace Engineering. His research focuses on aeronautics, robotics, vibration analysis, and control systems. Education: PhD in Aeronautics and Astronautics Engineering (2019-2022), Gaziantep University MSc in Aeronautical Engineering (2015-2018), Gaziantep University BSc in Mechanical Engineering (2009-2015), Gaziantep University His recent publications explore quadcopter dynamics, flight simulator design, rocket control systems, and mechanical fatigue analysis. Key trends include aerospace structural optimization, nonlinear control algorithms, and mechanical component reliability. Scientific Awards: 2023 Public TUBITAK Publication Encouragement Award Öztürk has advised PhD students, participated in TUBITAK-funded research, and taught courses in robotics, mechanical vibrations, and aerospace system dynamics. He is a member of MAKTED (Scientific Organization, 2019).

Jasmin Šehovićمشاهده پروفایل

دانشیار

• Automotive Engineering
• Mechanical Engineering
• Energy Consumption
• +۳ مورد دیگر

Jasmin Šehović is an Associate Professor at the Faculty of Mechanical Engineering, University of Sarajevo, Bosnia and Herzegovina. His research focuses on automotive engineering, sustainable transportation, and energy systems. Recent work includes studies on hydrogen combustion in internal combustion engines, vehicle electrification impacts on energy consumption, and advanced diagnostics for automotive systems. He has contributed to publications analyzing electric vehicle testing, suspension dynamics, and MEMS sensor applications. Key Research Areas: Electromobility, alternative fuels, vehicle dynamics, energy regeneration, suspension systems. Email: sehovic@mef.unsa.ba