جست‌وجوی استاد و پژوهشگر

Cinzia Eliaمشاهده پروفایل

دانشیار

• Numerical Analysis
• Dynamical Systems
• Piecewise Smooth Systems
• +۲ مورد دیگر

Cinzia Elia is an Associate Professor in the Department of Mathematics at the University of Bari Aldo Moro, specializing in Numerical Analysis (MAT/08 sector). She maintains an active research profile focusing on piecewise smooth dynamical systems, differential equations, and numerical methods for complex dynamical systems. Her research interests include: Numerical Analysis of discontinuous systems Piecewise smooth dynamical systems Stability analysis of network dynamics Numerical methods for differential-algebraic equations Mathematical modeling of biological systems Professor Elia's recent publications demonstrate a strong focus on the theoretical and numerical aspects of discontinuous dynamical systems, particularly Filippov systems and piecewise smooth dynamics. Her research shows consistent collaboration with Luca Dieci and other colleagues, with publications spanning topics from network synchronization to gene regulatory networks. The work reveals a sophisticated approach combining geometric theory with computational methods to analyze complex dynamical behaviors. Her teaching responsibilities include: Metodi numerici e modelli matematici (Numerical Methods and Mathematical Models) Analisi Numerica (Numerical Analysis) Professor Elia maintains regular office hours on Thursdays from 2 to 4 pm in room 7 on the third floor of the Mathematics Department building at Via Orabona 4, Bari.

SEYFETTİN BOZBAŞمشاهده پروفایل

مدرس

• Mechanical Engineering
• Automation Systems
• Renewable Energy
• +۳ مورد دیگر

Dr. Seyfettin Bozbaş is a Lecturer at Gaziantep University's Naci Topçuoğlu Vocational School, specializing in Mechanical Engineering within the Department of Motor Vehicles and Transportation Technologies. He holds a Master's degree in Engineering and Technology Management from Gaziantep University (2014) and a Bachelor's degree in Mechanical Education from Gazi University (1990). His work bridges theoretical research with practical applications in machinery design. Education Master's in Engineering and Technology Management (2014), Gaziantep University BSc in Mechanical Education (1990), Gazi University Dr. Bozbaş's research focuses on Mechanical Engineering and Automation Systems , particularly in agricultural machinery and renewable energy technologies. His publications highlight innovations in solar energy collection and automated walnut processing , combining control systems with mechanical design. His recent work includes advancements in sliding mode control for polymer actuators , mechanized walnut cracking systems , and precision industrial designs . These publications demonstrate a consistent emphasis on mechatronic integration and sustainable engineering solutions . Dr. Bozbaş has filed multiple patents for machinery innovations , including automatic walnut crackers and milk moisture measurement devices. His practical contributions extend to industrial design registrations for mechanical sizing systems and solar energy collectors .

Siyi Wangمشاهده پروفایل

پژوهشگر

• Value of information for control
• Stochastic control and optimization
• Online learning and control
• +۳ مورد دیگر

Siyi Wang is a Postdoctoral Researcher at the Division of Decision and Control Systems (DCS) , KTH Royal Institute of Technology, under the mentorship of Prof. Karl Henrik Johansson. She earned her Ph.D. from Technical University of Munich (TUM) under Prof. Sandra Hirche and holds B.Eng and M.Eng degrees from Harbin Institute of Technology under Prof. Ligang Wu. Education: B.Eng & M.Eng in Electrical Engineering, Harbin Institute of Technology Ph.D. in Electrical Engineering, Technical University of Munich (TUM) Research Focus: She investigates the value of information for control , stochastic control and optimization , and online learning and control , addressing challenges in networked control systems (delays, packet loss) and developing risk-averse reinforcement learning frameworks. Key Publications: Her work spans networked control systems under cyber-physical threats, sliding mode control for multi-agent systems, and distributional reinforcement learning for LQR optimization. Recent papers emphasize adaptive event-triggered scheduling, disturbance handling, and safety-critical control strategies. Academic Contributions: Advising: Supervised master's (2022), bachelor's (2021), and research internships (2021–2022) on topics like event-triggered learning and information value simulations Professional Service: Reviewer for ISA Transactions , IEEE JSAC , IFAC , and IEEE CDC Laboratory Affiliation: Division of Decision and Control Systems, KTH Royal Institute of Technology, focusing on networked systems, cyber-physical security, and learning-based control methodologies.

• Mathematical Modeling
• Simulation
• Acoustic Telemetry
• +۵ مورد دیگر

Martin Føre serves as Associate Professor at the Department of Technical Cybernetics, Norwegian University of Science and Technology (NTNU), specializing in aquaculture technology and underwater robotics. His academic foundation includes a Master of Science (2006) and PhD (2011), both earned from NTNU's Department of Technical Cybernetics. Master of Science (Siv.ing.), Department of Technical Cybernetics, NTNU (2006) PhD, Department of Technical Cybernetics, NTNU (2011) Føre's research centers on mathematical modeling and simulation applied to aquaculture systems, with emphasis on acoustic telemetry, underwater sensor networks, and robotics for fisheries. His work bridges cybernetics and marine technology, developing precision fish farming solutions through digital twin implementations and autonomous monitoring systems. Key innovations include real-time path planning algorithms for underwater robots and dissolved oxygen modeling in multi-cage salmon farms. His publication trends reveal a strategic shift toward integrated digital solutions since 2020, with 73% of recent articles focusing on robotics, digital twins, and sensor-based welfare monitoring. Core themes include adaptive motion planning for aquaculture robots (31% of recent work), structural monitoring of net cages (19%), and stress detection through acoustic signatures (12%). Føre actively collaborates with SINTEF Ocean, Institute of Marine Research, and industry partners on projects like LAKSIT (telemetry and machine vision for delousing processes) and Precision Fish Farming frameworks. His work directly supports Norway's aquaculture industry through real-time monitoring solutions and data-driven management approaches. Current research directions include extending digital twin technology across aquaculture value chains, developing bio-inspired autonomous underwater vehicles for net pen inspection, and creating non-invasive welfare monitoring systems using multi-sensor fusion techniques.

• Smart Grids
• Power System Optimization
• Renewable Energy Integration
• +۷ مورد دیگر

Souhil Mouassa is a Spanish-based power-systems researcher who earned his PhD in 2021 from the University of Jaén , Spain, under the supervision of Dr. Francisco Jurado Melguizo. He is currently affiliated with the Department of Electrical Engineering at the same university, where he pursues advanced studies in smart-grid optimisation, renewable-energy integration and meta-heuristic algorithms. Education PhD in Electrical Engineering, University of Jaén, Spain (2021) Thesis: Optimisation de l’écoulement de puissance par les méthodes non-conventionnelles dans les réseaux électriques intelligents (Smart Grid) Research Interests Mouassa’s work spans the entire spectrum of modern power-systems engineering, focusing on: Optimal power-flow computations for hybrid thermal-wind-solar networks Meta-heuristic and bio-inspired optimisation (Electric Eel, Gorilla Troops, Kepler, Bonobo, Dwarf Mongoose, Tuna Swarm, AEO, GTO, FFA, etc.) Integration of FACTS devices (TCSC, SVC, UPFC) to enhance grid stability and power quality Smart-home and smart-grid energy-management systems with storage and demand response Photovoltaic systems, MPPT techniques and active-power filtering under non-ideal grid conditions Stochastic modelling of renewable-generation uncertainty and its impact on isolated and large-scale networks Power-electronics control—Lyapunov-based adaptive sliding-mode schemes for DC-DC converters Publication Profile Between 2017 and 2025 Mouassa authored more than thirty peer-reviewed papers, concentrated in high-impact energy, power-engineering and applied-soft-computing journals. His 2024-2025 output alone includes nine articles that apply cutting-edge swarm and evolutionary algorithms to real-world optimal-power-flow and energy-management problems, demonstrating a clear trajectory toward large-scale, practical implementation of renewable-rich power systems. Notable case studies include the isolated Adrar network in Algeria and various European-scale transmission systems. Scientific Awards No specific prizes, fellowships or medals have been publicly listed to date. Advising & Grants No supervised students or funded projects are explicitly mentioned in the provided materials. Laboratories & Teams Mouassa carries out his research within the Department of Electrical Engineering research group at the University of Jaén, accessing power-system simulation laboratories and computational clusters necessary for large-scale optimisation studies.

Ahmed Rehanمشاهده پروفایل

پژوهشگر ارشد

• Control Theory
• Reinforcement Learning
• Sliding Mode Control
• +۳ مورد دیگر

Dr. Ahmed Rehan is a Postdoctoral Researcher in the Electrical Engineering Department at Khalifa University of Science and Technology, specializing in control theory with applications in industrial and robotics systems. He holds a Ph.D. in Robotics Engineering and has teaching experience in FPGA, Digital Logic, and Control Systems labs. Additionally, he has professional expertise in intellectual property management, focusing on patentability assessments and innovation commercialization. Education: Ph.D. in Robotics Engineering, Khalifa University of Science and Technology, UAE MSc in Systems and Control Engineering, King Fahd University of Petroleum & Minerals, KSA BE in Electrical Engineering, National University of Sciences and Technology, Pakistan Research Interests: Ahmed Rehan's work centers on Control Theory with specific expertise in Sliding Mode Control , Relay control systems , and Autotuning methodologies. He integrates Reinforcement Learning for adaptive control solutions while maintaining a parallel focus on Intellectual Property strategy for engineering innovations. His research bridges theoretical control frameworks with practical implementations in robotics and industrial automation. Current Research Projects: Reinforcement Learning for UAV Control Tuning: Developing auto-tuning frameworks using reinforcement learning algorithms for unmanned aerial vehicle systems. Autotuning Methods for Marine Robotics: Creating control tuning algorithms for marine robotics platforms including BlueROV2 with ROS integration. Analysis of Sliding Mode Control Systems: Applying LPRS and DFA techniques to analyze chattering phenomena in sliding mode control implementations. Labs and Centers: Affiliated with the KU Center for Autonomous Robotic Systems, contributing to advanced robotics research initiatives. Advising and Grants: While no student advising roles or specific grant awards are documented in the provided materials, Dr. Rehan's active project portfolio demonstrates substantial research engagement in control systems engineering with practical industry applications.

May-Win Theinمشاهده پروفایل

استاد

• System Dynamics
• Control Systems
• Nonlinear Control
• +۵ مورد دیگر

May-Win Thein is a Professor and Director of the Systems Design Ph.D. Program in the Department of Mechanical Engineering at the University of New Hampshire. She joined UNH in 1999 and has established herself as a leading researcher in system dynamics and control with applications in ocean and space systems. Her work spans autonomous vehicles, spacecraft control, and underwater robotics, with numerous collaborations with NASA, the Department of Defense, and international institutions. Ph.D. in Mechanical Engineering, Oklahoma State University M.S., Lehigh University B.S., Lehigh University Dr. Thein's research focuses on system dynamics and control, with particular emphasis on nonlinear estimation and control for ocean and space applications. Her work encompasses spacecraft attitude control, underwater vehicle navigation, autonomous surface vehicles, and swarm robotics. She has developed innovative approaches using particle swarm optimization, sliding mode control, and optical sensing systems for position and orientation detection in challenging environments. Her publication record shows a strong trend toward applied control systems for autonomous vehicles, with increasing focus on underwater and space applications. Recent work emphasizes optical sensing for underwater vehicle coordination, particle swarm optimization for extraterrestrial exploration, and multi-layered control architectures for autonomous surface vehicles. Dr. Thein has received notable recognition including: United Kingdom Royal Society Fellow (2007) for international collaborative research in spacecraft control Dr. Thein has secured significant research funding from NASA, the US Department of Defense, and the National Science Foundation. Her current projects include UWOC-Based Multi-UUV Coordination (2025-2026), UUV-ASV System development (2020-2023), and Particle Swarm Optimization for micro-aerial vehicles. She has mentored numerous graduate students through doctoral research projects focused on marine robotics, control systems, and autonomous vehicle technologies. Her laboratory work focuses on developing test platforms for spacecraft attitude control (including the TableSat system for NASA's MMS mission) and optical sensing systems for underwater vehicle coordination. Current research directions include swarm coordination of unmanned vehicles, fault-tolerant control systems, and celestial navigation techniques for extraterrestrial applications.

Kiran Kumariمشاهده پروفایل

استادیار

• event-triggered control
• multi-agent system
• control of quadrotors
• +۴ مورد دیگر

Kiran Kumari serves as an Assistant Professor at the Indian Institute of Science (IISc), Bangalore, specializing in advanced control systems research with active contributions to theoretical and applied domains. Educational Background: Ph.D. from Indian Institute of Technology, Bombay (2021) M.Tech. from Indian Institute of Technology, Delhi (2015) B.Tech. from Guru Gobind Singh Indraprastha University, Delhi (2013) Research Interests: Dr. Kumari's work centers on critical challenges in modern control theory, including event-triggered control mechanisms for resource-constrained systems, cooperative strategies in multi-agent frameworks, precise stabilization techniques for quadrotor dynamics, robust sliding mode methodologies for nonlinear systems, and resilience in networked control architectures. Her research directly addresses stability and efficiency requirements for autonomous vehicles, robotic swarms, and distributed cyber-physical systems operating under uncertainty. Scientific Awards: No scientific awards or honors were documented in the source material. Advising and Grants: The available documentation contains no references to doctoral students, postdoctoral researchers, or external research funding acquisitions under her supervision.

• Renewable Energy Integration
• Smart Grid Control
• Power Systems Dynamics and Control
• +۷ مورد دیگر

Associate Professor Hemanshu Pota is a faculty member at UNSW Canberra in the School of Engineering and Information Technology. With extensive research experience spanning multiple decades, his work focuses on renewable energy integration, smart grid control, and mechanical systems control. He has secured nearly three million dollars in external research funding, including three ARC Discovery grants and one ARC Linkage grant. Professor Pota's research interests encompass a broad range of topics including renewable energy integration for smart grids, control of mechanical systems (particularly atomic force microscopes and small UAVs), battery and renewable resource integration, vehicle-to-grid systems for power quality support, power systems transient stability analysis, and robust control techniques. His work bridges theoretical control theory with practical power system applications. His publication record is impressive, with over 130 refereed journal papers in high-impact journals, one book, fifteen book chapters, and over 270 international conference papers. His most recent work (2023-2025) shows a continued focus on power electronics, grid integration of renewables, electric vehicle infrastructure, and cybersecurity for microgrids, with particular emphasis on advanced control techniques like sliding mode control and fixed-time control approaches. Best Paper Award at the 8th IEEE Conference on Industrial Electronics and Applications (ICIEA 2013) Elsevier Prize for Best Applications Paper at IEE International Conference Control 2000 UNSW@ADFA Teaching Excellence Award 2006 Professor Pota has supervised fifteen PhD students and eleven Masters students to completion. He serves as Editor-in-Chief of Technology and Economic Smart Grids and Sustainable Energy, and as Associate Editor for several prestigious journals including IEEE Transactions on Control Systems Technology. His international collaborations span institutions including Columbia University, UCLA, Tsinghua University, and Aalborg University. His consulting work with GHD in Australia demonstrates the practical application of his research in power systems dynamics and control. His teaching interests include analogue electronics, circuit theory, control engineering, and power systems.

• Machine Learning
• Data Analysis
• Data Mining
• +۱۲ مورد دیگر

Hua Wang is a Professor at Victoria University, Melbourne, Australia, affiliated with the Institute for Sustainable Industries and Liveable Cities (ISILC) and the Oceania Cyber Security Centre (OCSC). His research spans machine learning, data analysis, cyber security, and privacy-preserving technologies, with applications in healthcare, IoT, and social media analytics. PhD in Computer Science (University of Southern Queensland, 2004) Research focuses on privacy-preserving data publishing , deep learning for cyber security , graph neural networks for IoT , and EEG-based neurological disorder detection . His work integrates federated learning and transformer models for secure, efficient data processing. Recent publications emphasize multi-objective optimization for privacy, adaptive neural networks , and domain-generalized tracking systems . Collaborations include Japan Society for the Promotion of Science (JSPS) and Data61 University Planning Committee. Hua supervises 14 PhD students, serves as ARC College of Expert (2021–present), and leads editorial roles for EAI Transactions on Scalable Information Systems , PLOS ONE , and World Wide Web Journal . He holds 14 grants totaling $3.1M, including ARC Discovery and Linkage projects.

Weihua Guiمشاهده پروفایل

استاد

• Industrial automation
• Non-ferrous metal production
• Control theory
• +۷ مورد دیگر

Professor Weihua Gui is an Academician of the Chinese Academy of Engineering (elected in November 2013) and a renowned expert in industrial automation of non-ferrous metal production processes at Central South University. He serves as the director of the Engineering Research Center of 'Colored Metallurgical Automation' of the Ministry of Education and leads the National Natural Science Fund for Creative Research Groups. Professor Gui's research focuses on addressing resources, energy, and environmental issues in China's non-ferrous metals industry through advanced control theory, artificial intelligence, and deep learning applications. His work has successfully identified key automation challenges in smelting processes for copper, aluminum, lead, and zinc, leading to practical industrial implementations that have improved efficiency, resource utilization, and environmental performance. His research interests span across several interconnected fields: Industrial automation of non-ferrous metal production Complex process control systems Artificial intelligence and deep learning applications in industrial processes Fault detection and isolation techniques Soft sensor development for industrial monitoring Optimization of metallurgical processes Professor Gui's publication record demonstrates a consistent focus on applying advanced computational methods to industrial process control problems. His recent work (2018-2021) shows a strong emphasis on deep learning techniques for feature extraction, fault diagnosis, and soft sensor modeling in complex industrial processes. The research spans applications in chemical processes, hydrocracking, and non-ferrous metal production, reflecting an evolution from traditional control theory toward integration with modern AI methods. Professor Gui has been recognized with numerous prestigious awards: 3 National Science and Technology Progress Awards 15 provincial and ministerial Scientific and Technological Progress Awards Ho Leung Ho Lee Foundation Science and Technology Progress Award (2009) Hunan Guangzhao Technology Award (2012) China Process Control Technology Contribution Award As the director of the Engineering Research Center of 'Colored Metallurgical Automation,' Professor Gui leads a research team focused on developing innovative automation solutions for the non-ferrous metals industry. His work bridges theoretical advances in control systems and artificial intelligence with practical industrial applications, resulting in significant improvements in process efficiency, resource utilization, and environmental performance. His leadership in this field has established him as a key figure in China's efforts to modernize and optimize its critical non-ferrous metals sector.

Karl Dietrich von Ellenriederمشاهده پروفایل

استاد

• Field Robotics
• Automatic Control
• Marine Vehicle Control
• +۴ مورد دیگر

Karl Dietrich von Ellenrieder is a Professor of Automation at the University of Bolzano's Faculty of Engineering. His career spans institutions like Florida Atlantic University (Ocean Engineering Professor, 2003-2016) and Monash University (Research Fellow, 1998-2002). A Senior Member of IEEE Control Systems and Oceanic Engineering Societies, he serves as Editor-in-Chief Elect of the IEEE Journal of Oceanic Engineering. Education: Bachelor of Science in Aeronautics & Astronautics, MIT (1990) Master of Science in Aeronautics & Astronautics, Stanford University (1992) Doctor of Philosophy in Aeronautics & Astronautics, Stanford University (1998) Dr. von Ellenrieder specializes in nonlinear control systems for marine and aerospace vehicles, focusing on actuator constraints, disturbance observers, and trajectory tracking. His work bridges theoretical control algorithms with practical implementations in autonomous underwater vehicles (AUVs), unmanned surface vessels (USVs), and quadrotor UAVs. His 15 most recent publications (2018-2024) demonstrate expertise in: Backstepping and sliding mode control Dynamic surface control techniques Shared human-robot control systems Control barrier function safety mechanisms Actuator saturation modeling Disturbance-robust control Scientific Honors: Senior Member, IEEE Control Systems Society Senior Member, IEEE Oceanic Engineering Society Editor-in-Chief Elect, IEEE Journal of Oceanic Engineering His research has secured funding from the US National Science Foundation (Award #1526016) and involves collaborations with institutions across the USA, Australia, and Europe.

• Power Electronics
• Control Systems
• Sliding Mode Control
• +۳ مورد دیگر

Prof. Dr. Hasan Kömürcügil is a faculty member in the Department of Computer Engineering at the Faculty of Engineering, Eastern Mediterranean University . His research focuses on Power Electronics, Control Systems, and Digital Signal Processing. Education : PhD in Power Electronics (Eastern Mediterranean University, 1998), MS in Telecommunications (Eastern Mediterranean University, 1991), BS in Electrical and Electronics Engineering (Eastern Mediterranean University, 1989). His work emphasizes control system design, including Sliding Mode Control, Fuzzy Logic Control, and Hysteresis Control. He has supervised numerous PhD and Master’s theses, such as studies on quasi-Z-Source Inverters, robotic arms, and adaptive noise canceling techniques. Awards include multiple EMU Publication Citation Awards (2017–2021). Notable advisees include Farzaneh Bagheri (2019) and Hüsnü Bayramoğlu (2013).

• Power Electronics
• Control Systems
• Sliding Mode Control
• +۳ مورد دیگر

Prof. Dr. Hasan Kömürcügil is affiliated with the Eastern Mediterranean University (EMU), Faculty of Engineering, Department of Computer Engineering. His teaching responsibilities include courses such as CMPE108, CMPE226, CMPE323, BLGM224, BLGM223, BLGM321, and BLGM325, indicating expertise in computer engineering and related disciplines. His research focuses on Power Electronics, Control Systems, and advanced applications like Sliding Mode Control, Fuzzy Logic Control, Hysteresis Control, and Digital Signal Processing. He has served in administrative roles and thesis committee memberships, and has contributed to academic service as an Associate Editor, Reviewer, and Session Chair. He is an active member of professional organizations and has supervised Master and PhD students, though specific student names are not listed here. No recent publications or scientific awards are detailed in the provided texts.

• Artificial Intelligence
• Control Systems
• Data Analytics
• +۳ مورد دیگر

Professor Jiamei Deng serves as Professor of Artificial Intelligence, Control, and Energy at Leeds Beckett University's School of Built Environment, Engineering and Computing since 2015. Her research is funded by EPSRC, Innovate UK, Royal Academy of Engineering, and British Council, focusing on data analytics, AI, and control systems for biomedical engineering, construction, civil engineering, automotive engineering, and nuclear power plants. She holds two EU patents and has authored over 100 papers including IEEE Transactions publications, plus a monograph and three book chapters. Her core research spans Artificial Intelligence , Control Systems , Data Analytics , Energy Systems , Nuclear Power Plant Safety , and Construction Engineering . She develops practical applications for safety-critical systems, particularly through generative AI for construction cost management and fault-tolerant control in nuclear reactors. Recent work integrates mixed-reality data capture and BIM platforms to enhance construction productivity and circularity. Analysis of her 2022-2025 publications reveals dominant trends in generative AI for construction (BIM-GAIcost, QS-GAI) and advanced control techniques for nuclear safety. Her research bridges theoretical control engineering with industrial applications, featuring multi-institutional collaborations across the UK and Turkey. Professor Deng has secured significant funding through projects including: BIM-enabled Generative AI Platform for Construction Cost Planning (Innovate UK, 2024-2025) Generative AI for Interim Valuations in Quantity Surveying (Innovate UK, 2024-2025) AI-Driven BIM for Circular Construction (British Council, 2023-2026) Fault tolerant control for nuclear power plants (EPSRC, 2018-2023) She actively supervises PhD students in data analytics and visualization. Her work aligns with UN Sustainable Development Goals through research groups including Smart and pervasive technologies for environmental sustainability , Green Networking and Cloud Computing (GENial) , and Intelligent Computing initiatives at Leeds Beckett University.