جست‌وجوی استاد و پژوهشگر

Satyam Paulمشاهده پروفایل

مدرس ارشد

• Mechanical Engineering
• Control Theory
• Vibration Control
• +۵ مورد دیگر

Satyam Paul is a Senior Lecturer in Mechanical Engineering at Örebro University, Sweden. His academic journey includes roles as Senior Research Fellow at University of Nottingham (2022-2023), Assistant Professor at University of the West of England (2020-2021), and postdoctoral researcher positions at Örebro University (2018-2020) and Tecnológico de Monterrey (2018). He holds a PhD from CINVESTAV-IPN (Mexico), MSc in Mechatronics from VIT University (India), and BEng in Mechanical Engineering from NIT (India). Research Focus: Vibration control, fault detection in mechanical systems, control theory, and mechatronics. Key areas include active vibration control of structures, chatter suppression in milling processes, and fuzzy logic-based control systems. Research Projects: "A general digital twin driving mining innovation" (ongoing) "Production Centred Maintenance (PCM)" "Digital twin for sustainable production as a service" Awards: Full Fellowship Status (FHEA, UK) for teaching excellence in higher education. Grants & Labs: Active in the "Digitalized product and production development" research group. Leads projects combining statistical/logical modeling with industrial applications. Publications: Over 15 peer-reviewed articles in journals like Applied Sciences , IEEE Access , and Journal of Vibration and Control , plus book chapters and conference proceedings on structural control and mechatronics.

• Chaos control
• Modelling of nonlinear dynamic systems
• Modelling of biological systems
• +۳ مورد دیگر

Yağmur Denizhan is a full-time Professor at Boğaziçi University. Their research focuses on chaos control, nonlinear dynamic systems modeling, and biological systems analysis. Key interests include renal sympathetic nerve activity modeling, stochastic processes, and optimization algorithms. Research highlights include long-term mathematical models of renal function and arterial pressure dynamics, as well as advancements in Particle Swarm Optimization (PSO) algorithms. Their work bridges chaos theory, computational methods, and biomedical engineering. Notable contributions include studies on targeting methodologies in chaotic systems and interdisciplinary explorations of semiotics combined with thermodynamics. Recent publications (2010-2013) emphasize real-time object recognition systems and evolutionary modeling frameworks. No scientific awards or grants are listed in the provided information. No student advisees are explicitly mentioned.

Amin Hajizadehمشاهده پروفایل

دانشیار

• Renewable Energy Systems
• DC Microgrids
• Offshore Renewable Energy
• +۶ مورد دیگر

Amin Hajizadeh is an Associate Professor at Aalborg University (AAU), affiliated with the Esbjerg Energy Section in the Faculty of Engineering and Science . His research focuses on renewable energy systems, DC microgrids, offshore renewable energy integration, and AI-driven energy solutions. He holds a PhD in Electrical Power Engineering (2010). Research Highlights: Developing control strategies for modular multiport DC-DC converters and offshore wind-hydrogen systems Advancing energy management in net-zero buildings and smart city frameworks Pioneering work in AI-based wake steering for wind farm optimization Projects & Awards: Lead investigator in BlueBARGE (€5M EU project on renewable bunkering for anchored ships) Recipient of the 2024 Best Paper Award for work on neural network-based wake steering Key Contributions: Published 140+ papers in journals like IEEE Transactions and Renewable Energy Supervised 6 PhD students and contributed to 19 funded research projects Active in editorial roles (e.g., IET Renewable Power Generation)

• AI and Robotics
• Human-Robot Interaction (HRI)
• Autonomous Agents
• +۷ مورد دیگر

Dr. Abolfazl Zaraki is a Senior Lecturer in AI and Robotics at the University of Hertfordshire's Department of Computer Science, part of the School of Physics, Engineering & Computer Science. He leads the Robotics Research Group and previously held roles at Cardiff University's School of Engineering and the IROHMS Research Centre. His academic journey includes a Master's in Mechatronics from University Technology Malaysia (2010) and a PhD in Automatic Robotic and Bioengineering from the University of Pisa (2014). He has held Research Fellow positions in Italy and the UK until 2019. Dr. Zaraki's research focuses on AI-driven autonomous systems, social robotics, and assistive technologies. Key projects include the EASEL, BabyRobot, and JAMES EU initiatives, alongside the Innovate UK-funded InSight project. His work emphasizes Human-Robot Interaction (HRI), trusted autonomy, and applications in healthcare and industrial contexts. Notable contributions include the development of the Kaspar humanoid robot for autism therapy and advancements in reinforcement learning for robotic control. His recent publications (2021–2025) explore agentic AI, memory-driven systems, and personalized LLMs for HRI, alongside technical advancements in robotic control, communication systems, and bio-inspired robotics. His research bridges theoretical AI innovation with practical applications in healthcare, education, and industrial automation. Zaraki has collaborated internationally across institutions and industry partners, contributing to 35+ research outputs. His work aligns with global trends in ethical AI, explainable systems, and human-centric robotics design.

Josep Ribes Bertomeuمشاهده پروفایل

دانشیار

• Wastewater Treatment
• Anaerobic Membrane Bioreactors (AnMBR)
• Mathematical Modeling of Bioprocesses
• +۷ مورد دیگر

Josep Ribes Bertomeu is an Associate Professor in the Department of Chemical Engineering at the University of Valencia, Spain, within the School of Engineering. He is a key member of the CALAGUA-UV Research Group on Environmental Technologies, where he has conducted extensive research since 1999. His research focuses on wastewater treatment , particularly using anaerobic membrane bioreactors (AnMBR) , mathematical modeling , process control , and optimization through artificial intelligence. He has made significant contributions to the development of simulation tools such as DESASS and LoDif-BioControl, and has worked on parameter calibration and control algorithms for wastewater treatment plants (WWTPs). His recent publications demonstrate a strong trend in energy recovery , resource valorization , and sustainable water management , aligning with circular economy principles. He has also been active in chemical engineering education , innovating laboratory teaching and virtual learning strategies. Principal Researcher, LIFE MEMORY Project (University of Valencia) Supervised 3 PhD theses Published over 35 international journal papers Co-author of 3 registered software programs and 5 invention patents He has contributed to numerous applied research and technology transfer projects with public and private entities, emphasizing real-world impact.

• Nuclear Reactor Design
• Advanced Reactors
• Integrated Energy Systems
• +۴ مورد دیگر

Ben Lindley is an Assistant Professor of Nuclear Engineering and Engineering Physics at the University of Wisconsin-Madison since 2020. He leads research in advanced reactor design, reactor physics, and integrated energy systems with a focus on cost reduction, nuclear-solar co-generation, and multiphysics modeling. His work spans computational methods development, safety analysis, and fuel cycle optimization, supported by DOE grants and collaborations with Argonne National Laboratory. Education: PhD in Nuclear Engineering (Cambridge, 2014), MEng & BA in Mechanical Engineering (Cambridge, 2011) Affiliations: Joint faculty appointment at Argonne National Laboratory His research explores nuclear reactor design , flexible operation (load-following, thermal storage), and economic viability of advanced reactors. Recent publications highlight innovations in microreactors, molten salt systems, and fusion-fission hybrids, with methodological advances in reinforcement learning for reactor control and open architecture design . Key article trends include: Advanced reactor cost reduction Nuclear-solar synergy Accident-tolerant fuel analysis Fusion energy commercialization Uncertainty quantification High-fidelity computational modeling Scientific Awards : 2021 ICONE21 Best Paper Award 2011 Babcock Award Runner-Up IET Bill Kerss Scholarship ANS 40 Under 40 Cambridge Rex Moir Prize Ben leads the RETI Lab (reti.ep.wisc.edu), mentoring graduate students through courses like Nuclear Reactor Theory (NE405) and advising on advanced reactor projects with national laboratories.

Markus Stockerمشاهده پروفایل

پژوهشگر

• Knowledge Synthesis
• Data Science
• Artificial Intelligence
• +۴ مورد دیگر

Markus Stocker is a researcher leading the Knowledge Infrastructures Lab at TIB - Leibniz Information Centre for Science and Technology. He holds a PhD in Environmental Informatics from the University of Eastern Finland, an MSc in Environmental Sciences from the same university, and an MSc in Computer Science from the University of Zurich. His work focuses on research infrastructures, knowledge synthesis, and FAIR data principles, with a strong emphasis on environmental and earth sciences. He collaborates with major European infrastructures like ACTRIS, ICOS, and NEON. His research interests include neurosymbolic systems, digital scholarship, and the integration of research data across disciplines. Prior roles include a postdoc at PANGAEA (University of Bremen) and positions at Hewlett Packard Labs and Clark & Parsia. He actively contributes to the Research Data Alliance, co-chairing the WG Persistent Identification of Instruments. Markus has pioneered projects like the Open Research Knowledge Graph (ORKG) and the sciqa benchmark for scientific question answering. His work emphasizes interoperability, automation, and community-driven knowledge curation, addressing challenges in data management and scholarly communication.

MARIOROSARIO PRISTمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Industrial Automation
• Machine Learning
• +۴ مورد دیگر

Dr. MARIOROSARIO PRIST serves as a Researcher at the Department of Information Engineering within the Faculty of Engineering at Marche Polytechnic University (UNIVPM) in Ancona, Italy. His institutional affiliation is maintained through the Department of Information Engineering (quota 170) at Via Brecce Bianche, 60131 Ancona, with contact details including phone 071 220 4468 and email m.prist@staff.univpm.it. Dr. PRIST's research spans cutting-edge domains in artificial intelligence applications for industrial systems, with particular emphasis on neural network implementations, digital twin architectures, and Industry 4.0 technologies. His work demonstrates strong focus on lightweight AI frameworks for edge computing , anomaly detection in manufacturing processes , and resource optimization in production environments . The research portfolio reveals consistent innovation in adapting advanced machine learning techniques to practical industrial constraints, especially for small and medium enterprises. Analysis of his publication trends indicates a strategic shift toward implementing AI solutions on resource-constrained devices and bridging edge computing with cloud infrastructure for real-time industrial monitoring. Recent work emphasizes practical applications of Echo State Networks for process control and anomaly detection, while maintaining strong connections to additive manufacturing optimization and safety monitoring systems. His research consistently addresses the challenge of making advanced AI accessible for industrial implementation without requiring extensive computational resources. Dr. PRIST's work demonstrates significant contributions to the integration of cyber-physical systems in manufacturing environments, with particular expertise in translating theoretical AI concepts into practical industrial applications that enhance production efficiency, safety, and sustainability.

• Robotics
• Smart Manufacturing
• Advanced Materials Processing
• +۹ مورد دیگر

Xiaoqi Chen is an Adjunct Professor in the Department of Mechanical Engineering & Product Design Engineering at Swinburne University of Technology, School of Engineering. He previously served as Deputy Director of the Manufacturing Futures Research Institute and Professor in the same department. Prior to Swinburne, he was Professor and Director of Mechatronics Engineering at the University of Canterbury (2006–2019), and held senior research roles in Singapore and the UK. Education: B.Eng. in Mechanical Engineering, South China University of Technology M.Sc. in Materials Technology, Brunel University, UK PhD in Electrical Engineering and Electronics, University of Liverpool, UK Prof. Chen’s research spans robotics, smart manufacturing, advanced materials processing, additive manufacturing, and autonomous systems . He is a strong advocate for translating research into commercial applications, evidenced by spin-offs like Invert Robotics Ltd. His work integrates intelligent systems with industrial processes to improve efficiency and sustainability. He is deeply involved in the ARC Training Centre for Collaborative Robotics in Advanced Manufacturing, co-leading the Biomimic Cobots program. His recent publications highlight advancements in robotic grinding, fault diagnosis using deep learning, composite materials, and additive manufacturing of superalloys . These works reflect a trend toward intelligent, data-driven, and sustainable manufacturing systems with applications in aerospace, energy, and healthcare. Scientific Awards and Recognitions: Fellow of the Royal Society of New Zealand Fellow of Engineering New Zealand (F.EngNZ) Fellow of Society of Manufacturing Engineers (F.SME) Fellow of American Society of Mechanical Engineers (F.ASME) New Zealand Hi-Tech Start-Up Excellence Award (2012) New Zealand Forest Owners Association Award (2015) Singapore National Technology Award Mechanical Engineering Research Award, University of Canterbury Advising and Grants: Prof. Chen supervises multiple PhD students in areas such as compliant mechanisms, soft robotics, and intelligent fault diagnosis. He is a Chief Investigator on industry-linked grants, including a project on rapidly-deployable soft robotic assistive devices funded by KNW DESIGN PTY LTD. His editorial roles include serving as Associate Editor for IEEE Transactions on Industrial Electronics and IEEE Transactions on Automation Science and Engineering. Labs and Teams: He leads research teams in robotics and advanced manufacturing at Swinburne and is a key figure in the ARC Training Centre for Collaborative Robotics in Advanced Manufacturing. His work bridges academia and industry, focusing on real-world deployment of robotic and intelligent systems.

Ioannis Lambadarisمشاهده پروفایل

استاد

• Network Traffic Modeling
• Quality of Service (QoS) Control
• Cloud Data Center Resource Allocation
• +۸ مورد دیگر

Ioannis Lambadaris is a Full Professor and Chancellor’s Professor at Carleton University's Department of Systems and Computer Engineering, Faculty of Engineering and Design. Holding a Ph.D. from the University of Maryland, he has contributed extensively to network performance analysis over 25+ years. Specializes in stochastic processes, cloud computing, and wireless edge systems Led Ericsson 5G Chair initiatives Supervised over 70 graduate students His research spans QoS control , VNF placement optimization , and IoT indoor localization , with over 170 publications. Recent work focuses on reinforcement learning and deep learning in network resource allocation. Scientific Recognition: Chancellor’s Professor Ericsson 5G Chair Contact: ioannis@sce.carleton.ca | Office: Mackenzie 4448, Ottawa, ON

Idriss Dagalمشاهده پروفایل

استادیار

• Renewable Energy Systems
• Photovoltaic Systems
• Power Electronics
• +۶ مورد دیگر

Idriss Dagal serves as an Assistant Professor at Beykent University's Department of Electrical and Electronics Engineering. With a PhD and Master's in Electrical Engineering from Yildiz Technical University (2015 and 2023 respectively), and additional academic credentials from Ethiopian Airlines Aviation University and Mongo Polytechnics University, his career bridges academic research with industry experience as a Sales Engineer. PhD: Yildiz Technical University (2015) Master's: Yildiz Technical University (2023), Ethiopian Airlines Aviation University (2008) Bachelor's: Mongo Polytechnics University (2006) His research focuses on renewable energy systems , particularly photovoltaic power optimization using metaheuristic algorithms (Hybrid PSO-Salp Swarm, Gray Wolf Optimization). He also explores control systems for solar energy and aircraft dynamics, including PID and fuzzy logic controllers. Additional work spans machine learning applications in energy and medical diagnostics, along with power electronics for battery charging. Recent publications highlight 15 2025 articles on topics like hybrid energy systems , AI-driven MPPT , and aircraft control frameworks . His work appears in journals such as Scientific Reports , IEEE Access , and International Journal of Aeronautical and Space Sciences . Teaching experience includes courses in Electrical Machines and Information Technologies . Non-university roles at Elektra Electronic Company and Aktif Group Company involved sales engineering, complementing his academic profile with industry insights.

• Electrical Energy and Power Systems
• Artificial Intelligence
• Electrical Facilities

Dr. Cenk Andiç is a Research Assistant at Istanbul Technical University's Department of Electrical Engineering. His work bridges Electrical Energy and Power Systems with Artificial Intelligence , focusing on optimization techniques for energy management and control systems. PhD in Electrical and Electronics Engineering (Düzce University) Integrated PhD program completion in 2024 Key research areas include: Automatic Voltage Regulation Load Frequency Control Dynamic Economic Load Dispatch Energy Optimization in Transportation Renewable Energy Integration Metaheuristic Optimization Algorithms Recent publications demonstrate a trend toward bio-inspired algorithms like Mountain Gazelle Optimizer , Puma Optimizer , and Sea Horse Optimizer for power system stability and renewable integration challenges. His work spans theoretical control systems to practical implementations in photovoltaic-thermal hybrid systems and data centres. Scientific recognition includes: 2023 Publication Award (Istanbul Technical University) 2024 Best Paper Award 2023 Cenk Andic Prize YÖK 100/2000 Scholarship He actively participates in international collaborations and serves as Principal Investigator for the 2025 project Improving Load Frequency Control in Interconnected Power Systems with Sled Dog Optimization Algorithm . Contact: andic18@itu.edu.tr

Erhan Yumukمشاهده پروفایل

پژوهشگر

• Control Theory
• Fractional Order Systems
• Biomedical Engineering
• +۳ مورد دیگر

Dr. Erhan Yumuk is a researcher at Ghent University and an alumnus of Istanbul Technical University , where he earned his Ph.D. in Control and Automation Engineering . He has served as a lecturer and deputy head of the department at Istanbul Technical University. His research focuses on: Fractional order control systems Anesthesia depth and hemodynamic control Pharmacokinetics/pharmacodynamics modeling Industrial control laboratory development Remote access control education Artificial intelligence in biomedical applications Recent publications (2024-2025) demonstrate expertise in fractional order PID controllers for time-delay systems, obesity-specific drug distribution models, and AI-enhanced pain monitoring during anesthesia. His work spans mathematical control theory, clinical implementation, and industrial applications. Scientific Recognition: Best Paper Award, IEEE Control System Society (2015) Erhan Yumuk contributes to Journal of Process Control , IFAC Journal of Systems and Control , and Applied Sciences , with emerging leadership in postdoctoral research at Ghent University.

• Neuromorphic Computing
• Embodied Artificial Intelligence
• Robotics
• +۶ مورد دیگر

Dr. Yulia Sandamirskaya is the Head of Research Center "Cognitive Computing in Life Sciences" at Zurich University of Applied Sciences (ZHAW), focusing on neuromorphic computing applications for embodied artificial intelligence. Her work bridges computational neuroscience and robotics, emphasizing neural-dynamic architectures for real-time decision-making, learning, and sensorimotor integration in autonomous agents. Key Research Areas: Neuromorphic hardware, dynamic neural fields, spiking neural networks, spatial language modeling, and autonomous sequence generation. Projects: Developed controllers for UAVs and robotic arms using event-based vision sensors, explored on-chip unsupervised learning, and designed models for spatial language interpretation in robots. Scientific Contributions: Her publications span robotics conferences and journals like Science Robotics and Frontiers in Neurorobotics , addressing topics such as path integration, obstacle avoidance, and cognitive architectures. Recent work (2024) includes visual odometry with resonator networks and hyperdimensional scene factorization on neuromorphic chips. Advising: Supervised multiple MSc theses at ETH Zurich and NSC/INI programs, mentoring students on neuromorphic navigation, spiking networks, and tactile learning. Collaborated with institutions like ETH Zurich, University of Queensland, and INI Bochum. Labs & Collaborations: Leads the "Neuromorphic Computing Applications: Embodied AI" group at ZHAW, partnering with INIvation (Zurich) and Jörg Conradt (KTH) on neuromorphic hardware implementations. Projects integrate cognitive models with robotic platforms, emphasizing energy efficiency and low-latency interaction.

Reza Jafariمشاهده پروفایل

دانشیار

• Data mining and data analytics
• Statistical modeling & forecast
• Machine learning and deep learning for prediction & classification
• +۲ مورد دیگر

Reza Jafari is a Collegiate Associate Professor of Computer Science at the Virginia Tech Innovation Campus. He previously served as faculty and program director of the ECE program at East Coast Polytechnic University and as a professional lecturer in the data science program at George Washington University. His research focuses on data mining, statistical modeling, machine learning/deep learning for prediction/classification, recurrent neural networks, and stability analysis of neural-based systems. Education: Ph.D., Computer and Electrical Engineering, Oklahoma State University (2012) M.S., Applied Mathematics, Oklahoma State University (2011) M.S., Mechatronics, American University of Sharjah (2005) B.S., Engineering, University of Tehran (2001) Research Interests: Jafari's work spans data analytics, statistical forecasting, machine learning, and neural networks. He emphasizes practical applications, such as temporal forecasting using deep learning and stability analysis of control systems. His contributions include advancements in recurrent neural networks and their hardware implementations. Publications: His recent work includes comparative studies of deep learning architectures for temporal forecasting (2025), precision robotics control (2024), and stability analysis of neural network-based controllers (2023). These studies highlight a trend toward integrating traditional methods with modern machine learning techniques. Awards: Innovator of the Year Award (2014) Innovator of the Year Award (2016) Professional Roles: Jafari has served as a peer reviewer for IEEE Transactions , IJCNN , and Automatic Control . His research bridges theoretical foundations and applied systems, with a focus on interdisciplinary solutions in data science and engineering.