جست‌وجوی استاد و پژوهشگر

• Fractional Order Differentiation
• Robust Control
• CRONE Methodology
• +۶ مورد دیگر

Patrick Lanusse is an Associate Professor at Bordeaux INP within the Graduate School of Engineering, conducting research at the IMS Laboratory (UMR CNRS 5218) in the CRONE Team of the Automatic Control Group at the University of Bordeaux. He has held this position since 1995, achieving outstanding class (HC-Ex) status in 2020, and teaches at both ENSEIRB-MATMECA and ENSC Graduate Schools of Engineering. PhD in Automatic Control – University Bordeaux 1 (1994) HDR (Habilitation à Diriger des Recherches) – University of Bordeaux (2018) Qualification for Professor functions – 61st section of University National Council (2019) Lanusse's research focuses on Fractional Order Differentiation Applications and Robust Control , particularly the CRONE Control-System Design methodology. His work spans theoretical developments to practical implementations in mechatronic systems, automated kite propulsion for ships, and optimal control of district heating networks. His research integrates fractional calculus with modern control theory to address complex engineering challenges requiring robust performance in uncertain environments. His publication record includes over 40 journal articles and 100 conference papers, with recent work emphasizing fractional modeling of wind turbulence, robust control of tracking antennas, and optimal trajectory planning for tethered kite ship propulsion systems. The CRONE toolbox he manages has been downloaded over 1,000 times since 2010, demonstrating significant international impact. PID'18 (finalist in the Benchmark Process Student Competition) FDA'18 (Riemann-Liouville Award: Best Paper) SpliTech 2020 (Best Paper Award) Lanusse has supervised 12 PhD students to completion with 3 more in progress, and maintains numerous industrial collaborations with companies including Alstom/Areva, Ariane Group, Safran, and Robert Bosch GmbH. He serves as Vice-Chair on Education for IFAC Technical Committee 2.1 and on editorial boards for Actuators and Electronics journals. His current leadership roles include scientific board membership at IMS Lab and heading WP4 of the DIHNAMIC Digital Innovation Hub.

Rute Piresمشاهده پروفایل

استادیار

• Personality
• Psychopathology
• Psychological Assessment
• +۴ مورد دیگر

Rute Pires is an Assistant Professor at the Faculty of Psychology of the University of Lisbon with over twenty years of teaching experience. She serves as Coordinator of the Psychological Assessment Consultation at both the Faculty's Community Service and the Instituto de Psicologia das Relações Humanas, Erasmus+ (Internships) Coordinator, and Editor of the Revista Iberoamericana de Diagnóstico y Evaluación. Her educational background includes a PhD in Clinical Psychology from the University of Lisbon and professional certifications in Psychotherapy and Clinical/Health Psychology from the Portuguese Psychologists Association. PhD in Psychology (Clinical Psychology), University of Lisbon Certified in Psychotherapy Certified in Clinical and Health Psychology Professor Pires' research centers on personality, psychopathology, and psychological assessment across community and clinical settings. Current projects investigate intimate partner violence across women's life stages and neuropsychological assessment in traumatic brain injury, emphasizing practical applications for resilience and positive change. Analysis of her 15 most recent publications (2019-2024) reveals dominant themes in validating personality disorder assessment tools (particularly PID-5 and DSM-5 models) across Portuguese and international populations, alongside significant contributions to neuropsychological assessment methodologies and cross-cultural performance validity testing. No scientific awards are documented in available sources. She has secured research funding including a 2022 CiiEM Investiga grant for her intimate partner violence project and has mentored students through core courses like Child/Adult Psychological Assessment and Psychology and Law throughout her two-decade teaching career. As an active member of the Research Center for Psychological Science (CICPSI), she collaborates on interdisciplinary clinical and health psychology research advancing assessment practices and intervention strategies.

Hak Sung Leeمشاهده پروفایل

استاد

• Intelligent/Learning Control
• Fractional Order System and Control
• Machine Learning

Professor Hak Sung Lee at Sejong University's Department of Intelligence and Information Convergence is a prominent researcher in control systems, machine learning, and color gamut mapping. His work bridges theoretical and applied engineering, with notable contributions to iterative learning control and real-time color correction methods. Education: Ph.D. (1996), M.S. (1991), and B.S. (1989) from KAIST. Research Interests: Focuses on intelligent control systems, fractional order systems, and machine learning. His research explores robustness in control algorithms, optimization techniques, and applications in digital TV and low-cost imaging devices. Article Trends: His publications emphasize control systems engineering, color science, and machine learning, with a strong focus on real-time applications and interdisciplinary innovation in consumer electronics and industrial automation. Professional Experience: Prior industry roles at LG Electronics (1996-1998) and LG Innotek (1998-2000) preceded his long-standing academic career at Sejong University.

Alessandro De Lucaمشاهده پروفایل

استاد

• Robotics
• Dynamic Modeling
• Motion Planning
• +۷ مورد دیگر

Alessandro De Luca is a Full Professor at Sapienza University of Rome, Department of Information Engineering, Electronics and Telecommunications (DIAG). He has held editorial leadership roles at IEEE Transactions on Robotics as Editor-in-Chief (2004–2008) and has been a key figure in robotics research, particularly in dynamic modeling, control systems, and physical human-robot interaction. His career spans over three decades, including leadership in the IEEE Robotics and Automation Society and contributions to international conferences. Education: PhD in Systems Engineering (1987) Academic roles: Full Professor since 2000, Associate Professor (1992–1993), Researcher (1988) Leadership: Vice-President of IEEE RAS (2012–2013), Chair of ERC Panels, and co-founder of I-RIM (Italian Robotics Institute). Research interests focus on robotics, with specific expertise in dynamic modeling, motion planning, soft robotics, kinematic redundancy, and nonlinear control. His work addresses challenges such as collision detection, feedback linearization, and haptic interfaces for augmented reality. Recent publications emphasize soft robot control under uncertainties, time-optimal trajectory planning, and mixed-reality human-robot collaboration. Scientific awards include IEEE Fellow (2007), IEEE Life Fellow (2023), the 2019 George Saridis Leadership Award, and multiple best paper recognitions. He has contributed to foundational texts like the Springer Handbook of Robotics and has coordinated national and EU projects such as SYMPLEXITY and SAPHARI.

• Control Engineering
• Automation
• Marine Icing
• +۵ مورد دیگر

Sushmit Dhar serves as an Associate Professor in the Department of Automation and Process Technology at UiT The Arctic University of Norway, focusing on control engineering and automation solutions for Arctic maritime challenges. His work bridges theoretical control methods with practical applications in extreme environments. His research spans: Classical and modern control methods (PID, LQR, MPC) State estimation and Kalman filtering Physics-Informed Neural Networks and Reinforcement Learning for decision support IoT-based automation for maritime operations Marine icing phenomena and sea spray measurement Recent publications demonstrate cutting-edge work in marine icing prediction using LiDAR and capacitive sensors, Arctic road safety systems, and optimization of maritime operations. His research integrates advanced sensing technologies with data-driven modeling to address safety challenges in cold climates, particularly through sea spray measurement innovations and route planning algorithms for fishing vessels and search-and-rescue operations. Dr. Dhar actively contributes to collaborative initiatives: Member of the Sustainable Technology and Safety (STS) research group Member of the IR, Spectroscopy, and Numerical Modelling Research Group Key participant in the SPRICE project (Multidisciplinary approach for spray icing modelling and decision support) His teaching portfolio includes foundational courses in Linear Systems (AUT-2604) and Control Engineering (AUT-2801) for Automation Engineering undergraduates, preparing students for technical challenges in Arctic engineering contexts.

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.

• Mechatronics
• Control Systems
• Flight Dynamics
• +۷ مورد دیگر

Dr. Aarti Panday serves as a Lecturer at the University of the Witwatersrand's School of Mechanical, Industrial & Aeronautical Engineering, where she teaches Mechatronics and Postgraduate Flight Dynamics and Control. With over 18 years of integrated academic and industry experience since 2004, she bridges theoretical research with practical aerospace applications. Her academic credentials include: BSc (Aerospace Engineering) MSc (Engineering) PhD (University of the Witwatersrand) Graduate Diploma in Education (GDE) Dr. Panday's research spans multiple critical domains: Mechatronics, Robotics, and Advanced Control Systems Flight Dynamics and Aerial Refuelling for manned/unmanned aircraft Technology Management, Commercialisation, and Intellectual Property Aircraft Certification and Regulatory Compliance Analysis of her recent publications reveals consistent application of evolutionary algorithms and neural networks to solve control challenges in aerospace and building systems, particularly in aerial refuelling maneuvers and elevator dynamics for supertall structures. Her industry background—including work on the Rooivalk helicopter, A-Darter missile, and regulatory approvals for aircraft like the Airbus A320—provides exceptional context for students. Since 2013, she has expanded her impact through technology management, supporting innovators via due diligence, investment scoping, and strategic partnership development with government and industry entities.

• Intelligent Control
• Power System Stabilisation
• Renewable Energy Systems
• +۲ مورد دیگر

Dr. Juan Shi is an Associate Professor at Victoria University's College of Sport, Health & Engineering, where she has held academic positions since 1994, progressing from Lecturer to Senior Lecturer and ultimately Associate Professor in 2016. With a PhD in Electrical Engineering from VU (1995) and over 100 peer-reviewed publications, her research focuses on intelligent control systems, renewable energy integration, and power system stabilization. Research Interests: Dr. Shi's expertise spans intelligent control applications, power system stability enhancement, battery energy storage optimization for grid support, fuzzy logic controllers, and renewable energy microgrid design. Her recent work emphasizes practical solutions for integrating solar/wind energy with battery storage systems. Teaching & Awards: She coordinates multiple engineering courses including Control Systems and Fuzzy Logic applications. Her teaching excellence has been recognized with the Vice-Chancellor's Award (2014) and a national teaching citation from the Australian Government (2015). Awards: Vice-Chancellor's Excellence in Learning and Teaching Award (2014) National Citation for Outstanding Contribution to Student Learning (2015) Student Supervision: Has graduated 2 PhD and 2 Master's students, currently advising 4 PhD candidates on renewable energy and control systems projects. As WISE coordinator, she actively supports female engineering students through mentorship programs.

Lee Keelمشاهده پروفایل

استاد

• Linear Systems Theory
• Robust Control
• Networked Control Systems
• +۴ مورد دیگر

Lee Keel is a Professor in the Department of Electrical and Computer Engineering at Tennessee State University's College of Engineering, where he has been faculty since 1986. He also serves as an Adjunct Professor in Vanderbilt University's Mechanical Engineering Department since 1991 and previously directed Tennessee State's Center for Systems Science Research from 1997-2007. Dr. Keel earned his Ph.D. in Electrical Engineering from Texas A&M University in 1986, following an M.S. from the same institution in 1982 and a B.S. in Electronics Engineering from Korea University in 1978. His academic journey began with engineering experience at LG Telecommunications R&D in Korea before transitioning to academia. His research expertise spans Linear Systems Theory, Robust Control, and Networked Control Systems, with recent focus on developing data-based control design techniques that eliminate reliance on analytical models. His work has been continuously funded by NSF, NASA centers (Ames, Langley, Goddard, Marshall), DoD, and industry partners including Boeing, with over $20 million in research grants throughout his career. Analysis of his publication record shows consistent contributions to robust control theory, particularly in interval systems stability, parametric robustness, and measurement-based controller design. His recent work increasingly addresses cyber-physical security applications for power grids and multi-agent systems. Full Academic Scholarship, Gold-Star Yonam Foundation (1971-1972, 1976-78) Eta Kappa Nu Phi Kappa Phi Distinguished Researcher Award, Tennessee State University (1996) Professor Keel has supervised numerous graduate students through thesis research and has served in leadership roles for major conferences including as Publication Chair for multiple American Control Conferences. His research group maintains strong connections with NASA laboratories and defense contractors, providing students with opportunities to work on problems with real-world impact in aerospace and critical infrastructure domains.

Zhen Dongمشاهده پروفایل

دانشیار

• Software Reliability
• Software Security
• Mobile Computing
• +۴ مورد دیگر

Zhen Dong is an Associate Professor at Fudan University, China, specializing in software engineering with a focus on software reliability and security, particularly in mobile computing. Previously, he was a PostDoc and Senior Research Fellow at the National University of Singapore under the guidance of Abhik Roychoudhury. His educational background includes: PhD in Computer Science from Heidelberg University (2017), advised by Prof. Artur Andrzejak Dr. Dong's research centers on developing techniques and tools for improving software reliability and security. His work spans mobile application testing, Android security, flaky test detection, and vulnerability localization. He has made significant contributions to the field of software testing and analysis, with a particular emphasis on practical applications for mobile systems. His research bridges theoretical foundations with real-world software engineering challenges. Analysis of Dr. Dong's recent publications reveals a strong focus on leveraging AI/ML techniques for software engineering tasks, particularly using LLMs for test automation and program analysis. His work consistently addresses critical challenges in mobile computing, especially Android application reliability and security. There's a clear trajectory toward more sophisticated analysis techniques, from traditional testing methods to AI-driven approaches. His notable scientific achievements include: ACM Distinguished Paper Award at ICSE'20 Best Paper Award at AsiaCCS'21 (1/370 submissions) ASE'22 Distinguished Reviewer Award Dr. Dong serves on the Board of Distinguished Reviewers for ACM Transactions on Software Engineering and Methodology and has been an active member of numerous program committees for top software engineering conferences including ICSE, ASE, and ISSTA. His service to the academic community extends to reviewing for prestigious journals such as IEEE Transactions on Software Engineering and Methodology and ACM Transactions on Software Engineering and Methodology. His research has been supported through various academic channels, enabling him to maintain an active lab focused on software testing and analysis, particularly for mobile platforms. The lab has produced numerous tools and techniques that have influenced both academic research and industrial practice in software reliability.

Burak Yildirimمشاهده پروفایل

دانشیار

• Power Systems
• Renewable Energy Integration
• Microgrid Control
• +۵ مورد دیگر

Burak Yildirim serves as Associate Professor in the Department of Electronics and Automation at Bingöl University's Technical Sciences Vocational School since 2022, following 11 years as Teaching Staff. His academic foundation includes BSc, MSc, and PhD degrees in Electrical-Electronics Engineering from Fırat University. BSc: Electrical-Electronics Engineering, Fırat University (2002-2006) MSc: Electrical-Electronics Engineering, Tunceli University (2010-2013) PhD: Electrical-Electronics Engineering, Fırat University (2013-2017) His research bridges theoretical control systems and practical energy applications, focusing on microgrid stability , AI-enhanced frequency regulation , and renewable integration . Recent work explores cybersecurity for energy systems and digital twin applications, with 15+ publications in SCI journals since 2020 including International Journal of Hydrogen Energy and IEEE Transactions. Dr. Yildirim's publication trends show increasing sophistication in control methodologies, evolving from traditional PID controllers (2018-2020) to neuromorphic deep learning and multi-agent systems (2022-2024). His work consistently addresses low-inertia grid challenges, with 70% of recent publications incorporating AI techniques for stability enhancement. He actively secures research funding through international collaborations and TUBITAK grants, currently leading projects on digital twins for microgrid controllers and HiL technology for next-generation power electronics. His industry background in high-voltage systems informs his applied research approach. Teaching responsibilities span core electronics and power systems courses, with recent emphasis on RF techniques and digital design applications. His industry experience (2007-2011) in transmission infrastructure provides practical context for academic instruction.

DURSUN ÖZTÜRKمشاهده پروفایل

دانشیار

• Renewable Energy Systems
• Hybrid Power Systems
• Control Systems
• +۵ مورد دیگر

Dr. Dursun Öztürk is an Associate Professor at Bingol University's Faculty of Engineering and Architecture, where he leads the Renewable Energy Systems Department. He obtained his PhD in Electrical-Electronics Engineering from Firat University (2012) and has been an associate professor since 2025. His research bridges renewable energy systems, control theory, and high-voltage engineering. Research Focus: Dr. Öztürk's work centers on optimizing hybrid renewable systems, with special expertise in: Intelligent control systems (fuzzy logic, PID optimization) Hydrogen energy storage and fuel cell technology Microgrid design for rural electrification High-voltage insulator performance Solar/wind energy integration His publications demonstrate consistent innovation in renewable energy applications. Supervision & Projects: Actively advises graduate students on renewable energy projects. Leads significant research initiatives including: TÜBİTAK project on high-voltage insulators (2017-2019) BÜBAP project on photocatalytic solar panels (2021-2022) FKA-funded renewable energy infrastructure development Administrative Roles: Former Dean's Assistant (2014-2022), current Head of Renewable Energy Systems Department since 2019, and active Senate member.

Ozan Gülمشاهده پروفایل

مدرس

• Electrical Power Systems
• Renewable Energy
• Power Electronics
• +۲ مورد دیگر

Ozan Gül is a Lecturer at Bingol University's Faculty of Engineering and Architecture. His educational background includes: Bachelor's Degree: Gaziantep University (2010) Master's Degree: İnönü University (2013) PhD: İnönü University (2020) His research explores electrical power systems with emphasis on: Renewable energy integration (photovoltaic/wind systems) Voltage control and stability optimization Power electronics and inverter technologies Smart grid applications and DC distribution He employs control theories like fractional-order controllers and ITAE-optimized PID systems to enhance grid resilience and energy efficiency. Publication analysis reveals consistent focus on renewable energy control systems, with recent work advancing voltage regulation in hybrid energy environments and harmonic mitigation in power converters. His methodological approaches include Monte Carlo simulations and experimental validations. No scientific awards or laboratory affiliations are documented. No information is available regarding research grants or student supervision.