Find Academic Supervisors

Georgios AndrikopoulosView profile

Assistant Professor

• Robotics
• Biomedical Engineering
• Control Systems
• +4 more

Georgios Andrikopoulos is an Assistant Professor at KTH Royal Institute of Technology's Department of Industrial and Environmental Management (ITM), affiliated with the Digital Futures Faculty. He serves as Co-Principal Investigator (Co-PI) on the 'Real-time exoskeleton control for human-in-the-loop optimization' project, focusing on advanced robotics and human-technology interaction. His research spans soft robotics, exoskeleton systems, and adaptive climbing robots, with applications in healthcare, aerospace, and education. Key projects include: "Connecting Bodies – Designing Shape-changing Wearables" (Postdoc Fellowship, 2023–2025) "Advancing real-time exoskeleton control for human-in-the-loop optimization" (Demonstrator Project) SEC scholar collaboration with Mohamed Elbadawi (May–June 2024) Research interests emphasize: Soft robotic actuators for safe human interaction Optimization of compliant mechanisms in robotics Vortex adhesion systems for autonomous inspection Design of child-friendly interactive robots His work integrates robotics with control systems, biomechanics, and human-centered design. Over 50 peer-reviewed articles demonstrate contributions to exoskeleton technology, climbing robot algorithms, and soft actuator modeling. He advises students like Laia Turmo Vidal (Postdoc) and Mohamed Elbadawi (SEC scholar). Affiliated with the cross-disciplinary Digital Futures initiative, he collaborates with Stockholm University and RISE Research Institutes to address societal challenges through digital innovation.

• Control Theory
• Digital Signal Processing
• Adaptive Signal Processing and Control
• +7 more

Dr. Allahyar Montazeri is a Senior Lecturer in Control and Electronics Engineering at Lancaster University's School of Engineering, specializing in advanced control systems and signal processing. His research focuses on adaptive signal processing, robust control, system identification, and applications in robotics, active noise/vibration control, and wave energy conversion. He has over 110 publications and serves on editorial boards such as Frontiers in Robotics and AI, and IFAC Technical Committees. Montazeri holds a Humboldt Research Fellowship (2011) and ERCIM Fellowship (2010). His industrial collaborations include Bosch for automotive noise control and Fraunhofer Institute. He has supervised PhD students in acoustic signal processing and leads projects on autonomous robotics and environmental monitoring. Notable awards include 'Outstanding Associate Editor' (2023) and 'Fellow of The Higher Education Academy.' He actively participates in conferences like IEEE CDC and chairs sessions on mechatronics systems. His work bridges theoretical control advancements with practical applications in extreme environments, including nuclear robotics and underwater systems.

Dipak Kumar GiriView profile

Assistant Professor

• Linear Control Systems
• Nonlinear Control Systems
• Aerospace Systems
• +5 more

Dipak Kumar Giri is an Assistant Professor in the Department of Aerospace Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur). He received his PhD from IIT Kharagpur and has established himself as a specialist in aerospace control systems with a focus on satellite attitude dynamics and control. Dr. Giri's educational background includes a doctoral degree from IIT Kharagpur, one of India's premier technical institutions. His academic journey reflects a strong foundation in aerospace engineering principles and control theory, which has enabled his transition from research engineer to faculty position at IIT Kanpur. His research program centers on linear and nonlinear control systems for aerospace applications, with particular expertise in satellite attitude control using innovative actuation methods. Dr. Giri has pioneered work in magneto-Coulombic satellite attitude control systems, developing fault-tolerant control strategies and advanced sliding mode techniques. His research bridges theoretical control methodologies with practical aerospace applications, addressing critical challenges in spacecraft orientation and stabilization. The consistent publication of his work in top-tier journals demonstrates his scholarly contributions to the field of aerospace control systems. Analysis of Dr. Giri's publications reveals a sustained research focus on satellite attitude control through magneto-Coulombic systems, Lorentz forces, and magnetic actuation. His work spans theoretical developments in control theory to practical implementations for Earth-pointing satellites. The progression of his research from basic magneto-Coulombic control (2014) to fault-tolerant systems (2015-2019) and applications to aircraft control (2020) shows an expanding research scope while maintaining core expertise in control systems. Dr. Giri has held prestigious positions including DST INSPIRE Faculty at IIT Kanpur (2018-2020), Postdoctoral Research Associate at Singapore-MIT Alliance for Research and Technology (2017-2018), and Postdoctoral Fellow at Ulsan National Institute of Science and Technology in South Korea (2016-2017). These international research experiences have enriched his academic perspective and contributed to collaborative research efforts across borders. His laboratory work focuses on spacecraft dynamics and control systems, with particular attention to innovative actuation methods for satellite orientation. The research environment likely supports both theoretical modeling and simulation studies of spacecraft control systems, with potential applications to real-world satellite missions and aerospace technology development.

Adrian FilipescuView profile

Professor

• Control Systems
• Robotics
• Mechatronics
• +5 more

Prof. Adrian Filipescu is a full professor and PhD supervisor at the Department of Automation and Electrical Engineering, Dunărea de Jos University of Galati. He holds a PhD in Control Systems (1993) and has over 40 years of academic and research experience. His expertise spans numerical calculus, adaptive control, robotics, and Industry 4.0/5.0 applications. He has authored 12 books and over 110 indexed articles with an h-index of 11 (SCOPUS), and his work earned two UEFISCDI awards (2014, 2019). Education: Engineer diploma in Automatic Control (Polytechnic University of Bucharest, 1981) and PhD in Control Systems (Dunărea de Jos University, 1993). His research focuses on mechatronics systems integration, robotic control, digital twins, and industrial automation. Notable contributions include developing a mechatronics line with integrated autonomous robots, wheelchair systems for disabled users, and multidirectional autonomous vehicles. Research Themes: Digital twin frameworks, IoT-cloud robotics control, Industry 4.0/5.0 systems, inverse kinematics modeling, and autonomous robotic navigation. His recent work emphasizes cloud-based remote control, HIL simulation, and SCADA integration. Awards: Recipient of the 2014 and 2019 UEFISCDI 'Award for Research Results' for highly commended papers. He has led 10+ research projects, endowing labs with advanced robotic infrastructure and PLC-controlled systems. Advising & Grants: Supervised 7 completed PhD theses (including 1 international co-supervision). Projects focused on robotic-assisted manufacturing, autonomous systems, and mechatronics line optimization. Current lab facilities include mobile robots, industrial manipulators, and PLC-based control systems. Labs/Teams: Director of a research lab developing Industry 5.0-ready systems, including robotic assistants for elderly/disabled users and flexible assembly/disassembly technologies. Collaborations include NATO internships at Politecnico di Torino (Italy), INPG Grenoble (France), and ISR Coimbra (Portugal).

Richard MolyetView profile

Senior Lecturer

• Automatic Control
• Robotics
• Sensor Development
• +7 more

Dr. Richard Molyet is a Senior Lecturer and Undergraduate Director in the Department of Electrical Engineering and Computer Science at the University of Toledo's College of Engineering. After retiring as Associate Professor in 2002, he returned to academia in 2005 as Visiting Professor and transitioned to Associate Lecturer in 2008. Education: Ph.D. in Engineering Science (1981) from University of Toledo His research spans Automatic Control , Robotics , Smart-Grid Systems , and Biomedical Applications . Recent publications focus on deep learning for medical diagnostics and hybrid power network optimization , while earlier work explored repetitive control algorithms and microprocessor-based motion analysis . Scientific Recognition: IEEE Third Millennium Medal (2000) IEEE-USA Professional Achievement Award (2002) University of Toledo Outstanding Teacher Award (2016) Currently advising 3 PhD students and multiple Master’s candidates, Dr. Molyet has served on numerous academic committees since the 1980s. He maintains an active role in IEEE Toledo Section's executive board for 39 years .

Mingfeng WangView profile

Senior Lecturer

• Continuum Robotics
• Legged Robotics
• Soft Robotics
• +5 more

Dr. Mingfeng Wang is a Senior Lecturer in Robotics and Autonomous Systems at Brunel University London, affiliated with the Department of Mechanical and Aerospace Engineering within the College of Engineering, Design and Physical Sciences. His research focuses on specialized robotic systems including continuum, legged, soft, precision farming, and miniaturized robots. Chartered Engineer (CEng) with Engineering Council UK Fellow of the Higher Education Academy (FHEA) Member of IEEE, IEEE-RAS, IMechE, and IFToMM Editorial roles: Associate Editor of International Journal of Advanced Robotic Systems (JCR-Q3); Associate Editor of Frontiers in Robotics and AI (JCR-Q2); Editor of Information Processing in Agriculture (JCR-Q1), Biomimetic Intelligence and Robotics (JCR-Q1), and STEM Education Research expertise includes: Continuum Robotics : Design of extra-slender continuum robots (diameter-to-length ratio Legged Robotics : Parallel mechanism-based biped and hexapod robots for extreme environments Miniaturized Robotics : Active locomotion and drug delivery in capsule endoscopes Soft Robotics : Compliant end-effectors and bio-inspired designs Precision Farming : Laser weeding systems and agricultural automation Key scientific awards: BRIEF award (2022) TAROS Best Paper Post Nomination (2022) IFToMM Asian-MMS Best Paper Award (2014) Recent publications focus on: Cochlear implant surgery robotics Passive compliance in train fluid servicing Snake-biomimetic sealing surfaces Parallel kinematic manipulators Capsule endoscope image enhancement Professional services include conference organization (TAROS 2023/2024 Steering Committee; TAROS 2024 Programme Chair) and journal refereeing for IEEE-ASME Transactions on Mechatronics and Scientific Reports.

Mohamed GharibView profile

Academic

• Vibration Control
• Robotics Systems Design
• Dynamic Systems
• +4 more

Dr. Mohamed Gharib is an Instructional Associate Professor in the Department of Engineering Technology and Industrial Distribution at Texas A&M University's College of Engineering. He also serves as Program Coordinator for Multidisciplinary Engineering Technology and holds affiliated faculty status in Multidisciplinary Engineering. His roles include teaching, research leadership, and academic program development. Educational Background: Ph.D., Mechanical Engineering, Southern Methodist University (2011) M.S., Aerospace Engineering, Cairo University (2007) B.S., Aerospace Engineering, Cairo University (2002) Research Interests: Dr. Gharib focuses on advanced engineering systems and education innovation. His technical work spans vibration control , robotics systems design , and impact mechanics , with notable contributions to drill string vibration suppression and novel damping technologies. In education, he pioneers STEM outreach programs and curriculum development, including initiatives like the Awesome STEM Lab and e-STEM programs . His COBOTICS Lab integrates robotics research, undergraduate training, and community engagement. Research Impact: Recent work addresses dexterous robotics (via NSF's HAND ERC), adaptive control algorithms for drilling systems, and advanced composite coatings for tribological applications. His publications emphasize real-world applications in oil well operations, structural acoustics, and educational technology. Awards: Francisco José de Caldas Award for Sustainable Excellence (2021) Excellence in STEM Implementation Award (ASME, 2020) Outstanding Graduate Student Awards (2010) Labs & Programs: Director of the COBOTICS Lab , which develops robotic systems, control technologies, and STEM education tools. Active in multidisciplinary projects like the NSF-funded Human Augmentation via Dexterity (HAND ERC) collaboration.

Puren OuyangView profile

Associate Professor

• Robotics and Control
• Mechatronics
• Integrated Design and Control
• +1 more

Dr. Puren Ouyang serves as an Associate Professor in the Department of Aerospace Engineering at Toronto Metropolitan University, where he holds a Professional Engineering license (PEng). His academic foundation includes a BASc from Huazhong University of Science and Technology (1985), followed by MSc and PhD degrees from the University of Saskatchewan (2002, 2005). He teaches core courses including AER 509 Control Systems, AER 520 Stress Analysis, and AE 8141 Advanced Aerospace Manufacturing. His educational credentials: PhD in Engineering, University of Saskatchewan (2005) MSc in Engineering, University of Saskatchewan (2002) BASc in Engineering, Huazhong University of Science and Technology (1985) Ouyang pioneered position domain control methodology, replacing traditional time/frequency references with position-based systems to enhance robotic precision in contour tracking. His research directly addresses industrial manufacturing challenges where 24/7 machine reliability determines product accuracy. Key focus areas include robotic control systems, mechatronics integration, hybrid system dynamics, and synchronized multi-DOF manipulation for CNC applications. His 2013-2016 publications reveal consistent innovation in position-domain robotics control, with emphasis on contour tracking algorithms, multi-axis synchronization, and adaptive learning techniques. These works bridge theoretical control frameworks with industrial manufacturing applications, frequently targeting CNC machine optimization where 80% of North American factories rely on automated systems. Key recognitions: Best Conference Paper in Integration Award at IEEE ICIA 2011 NSERC Postdoctoral Fellowship (2005-2007) As an active supervisor, Ouyang mentors graduate students in robotics and control systems through the ISRMM Laboratory. His NSERC fellowship demonstrates sustained research capability, while his industry-focused publications suggest ongoing grant activity in advanced manufacturing automation. Current supervision availability indicates active research program development. The Intelligent Systems & Robotics / Micro Manufacturing (ISRMM) Laboratory serves as his primary research hub, driving innovations in robotic precision manufacturing, micro-scale production systems, and real-time control architectures for industrial applications.

• Process Control
• Advanced Process Control
• Control Structure Design
• +6 more

Sigurd Skogestad is a Professor of Chemical Engineering at NTNU in Trondheim, specializing in process control. He has held this position since 1987, following his PhD from the California Institute of Technology (Caltech) in 1987. From 1999 to 2009, he served as Head of the Department of Chemical Engineering. Since 2015, he has directed the SUBPRO center for research-based innovation, focusing on subsea production and processing. Education: PhD in Chemical Engineering, California Institute of Technology (Caltech), 1987 Research Interests: His work emphasizes advanced control strategies, including control structure design, plantwide control systems, and optimal operation of process systems. He explores robust control methodologies, PID control applications, and distillation column dynamics. Modeling for control and subsea production systems are central to his current research through the SUBPRO initiative. Leadership & Roles: Director of SUBPRO Center (since 2015) Past Head of Department of Chemical Engineering (1999–2009) Labs/Teams: Leads the SUBPRO center, a collaborative research effort advancing subsea production technologies.

Kristian SolteszView profile

Senior Lecturer

• Control Engineering
• Data-Driven Modeling
• Cyberphysiological Systems
• +12 more

Kristian Soltesz is a Senior Lecturer and Project Manager in the Department of Automatic Control at Lund University's Faculty of Engineering (LTH). He is actively engaged in research focusing on data-driven modeling and control of cyberphysiological systems, with applications in anesthesia, intensive care, and organ transplantation, as well as industrial process control in mining and bioreactors. His research interests span Control Engineering , Data-Driven Modeling , Automated Drug Delivery , Hemodynamic Stabilization , Process Control , and Closed-Loop Anesthesia Systems . His work emphasizes interdisciplinary collaboration with clinical and industrial partners, aiming to develop practical, robust control solutions for complex real-world systems. He contributes to the UN Sustainable Development Goals through sustainable engineering applications, particularly in mining and healthcare. The recent trend in his research outputs shows a strong focus on integrating advanced control strategies—such as Model Predictive Control (MPC), Kalman filtering, and PID autotuning—into medical and industrial applications. His publications highlight innovations in seamless anesthesia delivery, signal quality handling in closed-loop systems, and optimization of industrial flotation processes. The interdisciplinary nature of his work is evident in the blend of biomedical, industrial, and data-centric control themes. Kristian Soltesz has supervised multiple research projects and academic works, with five supervised works documented. He leads or contributes to numerous research initiatives, including projects on ex vivo heart evaluation, sustainable mining, pharmacometric modeling, and historical studies in automatic control. He is involved in key academic activities such as organizing conferences and delivering invited talks, including participation in the Engineering Health PI Retreat 2023 and presentations on microalgae cultivation and ex vivo perfusion systems. His research is supported by grants from foundations such as Familjen Hjelms stiftelse för medicinsk forskning and Mats Paulssons stiftelse. Labs and research teams he is affiliated with include interdisciplinary groups working on cyberphysiological control systems , industrial automation , and biomedical engineering applications , often in collaboration with clinical departments and industrial stakeholders.

• Control and System Engineering
• Robotics and Mechatronics Systems
• Mechanical Vibrations
• +3 more

Assoc. Prof. İBRAHİM SİNA KUSEYRİ is affiliated with Marmara University's Faculty of Engineering, Department of Machine Theory, System Dynamics and Control. His academic journey includes a Doctorate from Boğaziçi University (2011) and undergraduate studies at the same institution (1984). He also holds a postgraduate degree from Gazi University (1990). Research focuses on control systems engineering with emphasis on robotics, mechatronics, and mechanical vibrations. Key projects include haptic minimal invasive surgery robots (TUBITAK, 2016-2018) and wireless machine condition monitoring (KOSGEB, 2014-2015). His work spans ship stabilization systems, rotor dynamics, and industrial vibration control solutions. Publications emphasize advanced control methodologies applied to mechanical systems, including H-infinity control strategies, adaptive vibration suppression, and MIMO control architectures. He has supervised 3 master's theses on topics ranging from active suspension systems to crane anti-swing control. Professional experience includes serving as Head of Department at Marmara University's Institute for Graduate Studies (2022-present) and managing his company Mekatek Bakım Teknolojisi Ltd. Şti. since 1991.

Marko T. MilojkovicView profile

Professor

• Control Systems
• Signal Processing
• Neural Networks
• +4 more

Marko T. Milojkovic is a full professor at the Faculty of Electronics, University of Nis, leading the Department of Automation since 2022. He holds a PhD in Systems Management (2012), Master's in Automation (2008), and a Bachelor's in Computer Engineering & Informatics (2003), all from the same institution. His research focuses on adaptive control systems, neural networks, and dynamical systems modeling, with 27 papers in impact-factor journals. He currently heads the Laboratory for Modeling, Simulation and Systems Management and participates in 2 national and 2 international projects. Education: PhD: Systems Management (2012) MSc: Automation (2008) BSc: Computer Engineering & Informatics (2003) Research interests include neuro-fuzzy systems, MIMO system optimization, and endocrine neural networks applied to adaptive control. His publications demonstrate expertise in quasi-orthogonal filters, sliding mode control, and time-series forecasting. No scientific awards are explicitly mentioned, but his extensive project participation highlights active collaboration in control systems and automation. Prof. Milojkovic's work bridges theoretical modeling and practical applications, with recent emphasis on intelligent control systems and nonlinear dynamics. His laboratory facilitates interdisciplinary projects addressing complex system management challenges.

Sigurd SkogestadView profile

Professor

• Process Control
• Systems Engineering
• Optimization
• +2 more

Sigurd Skogestad is Professor in the Department of Chemical Engineering at the Norwegian University of Science and Technology (NTNU). He serves as Program Leader for the 5-year Master program in Chemical and Biochemical Engineering. His research develops simple yet rigorous methods to solve engineering problems, focusing on self-optimizing control structures that enable near-optimal operation under varying conditions. His approach moves economic optimization from slow real-time optimization to faster control layers. Key research areas: Self-optimizing control structures Process systems engineering Multivariable feedback control Plantwide process control Distillation modeling and control He has received significant recognition including the AIChE Computing in Chemical Engineering Award and IFAC Fellow status. He leads research groups in Process Control and contributes to the SUBPRO center on subsea production.

Mohammad Hassan KhoobanView profile

Associate Professor

• Power Systems
• Renewable Energy
• Control Systems
• +4 more

Mohammad Hassan Khooban is an Associate Professor at the Department of Electrical and Computer Engineering, specializing in Electrical Energy Technology at Aarhus University . His research emphasizes advanced control strategies for power systems, renewable energy integration, and smart grid technology. While specific educational background details are not explicitly stated, his work demonstrates expertise in power electronics, control systems, and machine learning applications. His projects include pioneering initiatives like QuantumEcoCircuits (2024–2027) and Smart Synergy Mechanism (2023–2025), focusing on sustainable energy systems, electric vehicle charging dynamics, and resilient grid operations. His research interests span adaptive control methodologies, grid resilience under cyber threats, and the optimization of energy storage systems. He has contributed to peer-reviewed journals such as IET Renewable Power Generation and IEEE Transactions on Smart Grid , exploring topics ranging from PID controllers to fractional-order sliding mode control for unmanned aerial vehicles. No scientific awards are listed, but his work is supported through grants and collaborative projects. He is actively involved in lab initiatives related to power systems and renewable energy technologies.

• Automation
• Robotics
• Control Systems
• +5 more

Prof. Igor Krčmar is a full professor at the Faculty of Electrical Engineering of the University of Banja Luka, specializing in Automation and Robotics . He holds a position in the Department of Automation and teaches courses at both undergraduate and graduate levels. His research focuses on control systems, neural networks, electrical drives, and adaptive control methodologies. He has authored several textbooks including Upravljanje u realnom vremenu (Real-Time Control) and Senzori i Aktuatori (Sensors and Actuators). His recent work emphasizes sensorless motor control, PI controller optimization for industrial systems, and machine learning applications in occupancy estimation. Over 25 years, he has published extensively in journals like IEEE Transactions on Industrial Electronics and conferences such as INFOTEH-JAHORINA and IcETRAN. His work bridges theoretical advancements with practical implementations in industrial automation and energy efficiency. Key contributions include: Development of discrete rotor flux estimators for high-speed drives Adaptive neural control algorithms for nonlinear systems Integration of fuzzy logic with hydrodynamic process control Optimization of PMSM drives for energy efficiency He collaborates internationally on EU-funded projects and serves on editorial boards of electrical engineering journals.