جست‌وجوی استاد و پژوهشگر

Goncalo Fernandes Pereira Martinsمشاهده پروفایل

عضو هیئت علمی

• Electrical Engineering
• Computer Engineering
• Mechatronic Systems
• +۳ مورد دیگر

Goncalo Fernandes Pereira Martins is a Teaching Associate Professor in the Department of Electrical & Computer Engineering at the Daniel Felix Ritchie School of Engineering and Computer Science, University of Denver. He also serves as the Chair and Interim Associate Chair of the Electrical & Computer Engineering department, indicating leadership roles within his academic unit. His educational background includes: Ph.D. in Mechatronic Systems Engineering, University of Denver, 2013 MA in Electrical and Computer Engineering, Faculdade de Ciências e Tecnologia - FCT, 2007 BSEE, Faculdade de Ciências e Tecnologia - FCT, 2005 His academic work is rooted in electrical and computer engineering with a focus on integrated systems, likely involving robotics, automation, and embedded technologies. Given his degree in Mechatronic Systems Engineering, his research likely bridges mechanical, electrical, and software domains. His teaching and leadership roles suggest strong involvement in curriculum development and academic administration. No recent publications are listed in the provided text, so article trends cannot be analyzed. He has not been mentioned as receiving any scientific awards in the provided information. There is no information available about graduate students he may be advising or any grants he may lead. However, as a faculty member and department chair, he is likely involved in securing funding and mentoring students indirectly through departmental initiatives. There is no explicit mention of labs or research teams led by him in the provided text, though his affiliation with the Ritchie School suggests access to facilities such as the KIHA Innovation Labs, Machine Shop, and HVT Center, which support engineering research and prototyping.

• Control Systems
• Mechatronics
• Robotics
• +۱۲ مورد دیگر

Sumeet S. Aphale is a Professor and Academic Line Manager at the School of Engineering, University of Aberdeen, where he also leads the Electrical and Electronic Systems research group. He holds a Personal Chair and is actively involved in research, teaching, and academic leadership. He is the Programme Leader for the MSc in Robotics & Artificial Intelligence and MSc in Industrial Robotics. Education: BEng Electrical Engineering, University of Pune, India (1999), First Class with Distinction MS Electrical Engineering (Robotics and Control), University of Wyoming, USA (2003) PhD Electrical Engineering (Robotics and Control), University of Wyoming, USA (2005) His research focuses on control systems, mechatronics, robotics, nanopositioning, soft robotics, and vibration control. He leads the Artificial Intelligence, Robotics and Mechatronic Systems (ARMS) group, emphasizing practical, implementable solutions for complex engineering problems. His work spans applications in MEMS, drill-strings, biomedical systems, and renewable energy. The 15 most recent publications reflect a strong trend in advanced control strategies, including fractional-order, sliding-mode, and AI-based control, applied to nanopositioning, soft actuators, and industrial systems. Key themes include precision enhancement, dynamic modeling, and real-time performance optimization. Scientific Awards: Principal's Excellence Award for Outstanding Postgraduate Research Supervisor (2023) Best Paper Award, AsiaSim (2017) Best Paper Award Finalist, Advanced Intelligent Mechatronics (2008) Tau Beta Pi - Engineering Honors Society (2003) Top 5 UG GPA (1999) Dr. Aphale has supervised numerous PhD students to completion and currently mentors several doctoral candidates in areas such as soft robotics, motor optimization, and unconventional control. He has secured over £2.7M in research funding from EPSRC, SFC, Innovate UK, and international sources, and has led industrial consultancies with BP, Aramco, Aker, and LeapAI. He is actively involved in knowledge exchange through KTP projects and industrial collaborations. He teaches courses in signals, systems, and advanced control engineering and serves as a personal tutor and examination officer. He leads the ARMS research group and collaborates with institutions in Spain, China, India, France, Australia, and the USA. His editorial roles include Associate Editor for IEEE Control Systems Letters and Frontiers in Mechanical Engineering.

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

Zhaohan Yu is a Researcher in the Department of Mechanical Engineering at Michigan State University's College of Engineering. His work focuses on advanced materials, energy harvesting systems, and smart polymers. Key research areas include structural coloration, piezoelectric-triboelectric hybrid devices, self-powered sensors, and bioinspired soft robotics. His research explores topics like reversible thermal conductivity modulation, hydrogel-based energy generators, and acoustic energy harvesting. Yu's publications highlight innovations in nanocomposites, photonic crystals, and flexible electronics. He has contributed to applications in biosensing, sustainable manufacturing, and wearable technologies. While no formal awards are listed, his extensive publication record reflects active engagement in interdisciplinary materials science. Yu's advising and grant activities are not detailed in available sources. His work aligns with the College of Engineering's focus on sustainable and smart material systems.

• Robotics
• Artificial Intelligence
• Computer Vision
• +۳ مورد دیگر

Thomas Henderson is a Professor of Computer Science at the University of Utah, specializing in robotics, artificial intelligence, and computer vision. His work emphasizes multisensor data fusion, autonomous navigation, and industrial automation. He has contributed to foundational algorithms in constraint satisfaction and robotic manipulation. Research interests include 3D object representation, sensor integration, and system architecture design for industrial applications. Notable contributions span wireless sensor networks, neural controller evolution for mobile robots, and safety-critical simulations of fire/explosion scenarios. Collaborations include projects with Nanyang Technological University and industry partners in manufacturing automation. His publications (over 200 cited works) demonstrate interdisciplinary impact across robotics, computer vision, and AI. Current focus areas include strategic conflict management for unmanned aircraft systems (UAS) and resilient networked robotics solutions.

Dirk Mohrمشاهده پروفایل

مدرس

• Control Engineering
• Technical Image Processing
• Applied Artificial Intelligence
• +۵ مورد دیگر

Dirk Mohr is a Lecturer in Control Engineering and Technical Image Processing at the Department of Mechatronics and Mechanical Engineering, Bochum University of Applied Sciences. He is actively involved in several key research and educational initiatives, including the Laboratory for Control Engineering and Technical Image Processing, Institut BO Smart Factory, and the Interdisciplinary Institute for Applied AI and Data Science Ruhr AKIS. He also serves as a member of the Department Council for Mechatronics and Mechanical Engineering. His research interests span Control Engineering , Technical Image Processing , Applied Artificial Intelligence , and Smart Manufacturing . These areas are closely aligned with modern industrial automation, robotics, and intelligent sensor systems. His work supports both academic teaching and practical applications in advanced manufacturing environments. While no recent publications are listed in the provided material, his affiliations suggest engagement in applied research focused on intelligent control systems and digitalization in engineering contexts. Member, Laboratory for Control Engineering and Technical Image Processing Member, Institut BO Smart Factory Member, Interdisciplinary Institute for Applied AI and Data Science Ruhr AKIS Member, Department Council for Mechatronics and Mechanical Engineering Dirk Mohr contributes to academic governance and interdisciplinary research, particularly in smart factory technologies and AI integration in mechanical systems. He supports project-based learning and has been associated with initiatives like WomEngineer 2.0, promoting gender diversity in engineering. Though no specific grants or advising roles are detailed, his leadership in educational projects indicates active mentorship and administrative involvement.

Muhammad Jehanzeb Masud Cheemaمشاهده پروفایل

استاد

• Precision Agriculture
• Hydrological Modeling
• Water Resources Management
• +۳ مورد دیگر

Muhammad Jehanzeb Masud Cheema is a Professor and In-charge of the Faculty of Agricultural Engineering at PMAS Arid Agriculture University, Rawalpindi, Pakistan. He also serves as an International Researcher in Water Resources Management (WRM) at the International Water Management Institute (IWMI), Lahore office. His roles include leading research projects under USAID initiatives and directing the "NCIB" project at AAUR. Affiliations: PMAS Arid Agriculture University, IWMI Research Focus: Precision agriculture, hydrological modeling, remote sensing applications, and integrated resource management His recent publications emphasize remote sensing data integration for crop classification, UAV-based irrigation modeling, robotic harvesting systems, and solar-powered irrigation solutions in Pakistan. He has supervised numerous MSc and PhD students and authored/co-authored 56+ peer-reviewed journals and 10+ book chapters.

Megan Reissmanمشاهده پروفایل

دانشیار

• Biomechanics
• Rehabilitation Engineering
• Motor Control
• +۷ مورد دیگر

Megan Reissman is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of Dayton, School of Engineering. She is a full-time faculty member actively engaged in research and teaching in biomechanics and rehabilitation engineering. Education: Ph.D., Mechanical Engineering, Northwestern University M.Eng., Mechanical Engineering, Cornell University B.S., Mechanical Engineering, Cornell University Her research focuses on understanding and enhancing human movement, particularly in individuals with neurological impairments such as stroke or spinal cord injury. She employs experimental biomechanics, virtual reality, and wearable sensor technologies to assess and improve gait and balance. Her work seeks to develop devices that challenge abnormal movement patterns and deliver real-time visual feedback to promote motor learning. The recent publications highlight a strong trend in using virtual reality, exoskeletons, and auditory/visual feedback systems to study gait mechanics, motor control, and rehabilitation strategies across various populations, including post-stroke patients, spinal cord injury survivors, and healthy adults under load or hypoxic conditions. The integration of engineering principles with clinical rehabilitation is a consistent theme. Scientific Awards: Kern Entrepreneurial Engineering Network Faculty Fellow, University of Dayton, 2017 Sarah Baskin Award for Excellence in Rehabilitation Research, Rehabilitation Institute of Chicago, 2014 Searle Center Teaching Assistant Fellow, Northwestern University, 2012 Dr. Reissman advises student projects, particularly in capstone design and experimental mechanics. She teaches courses such as Engineering Experimentation (MEE 341), Engineering Analysis (MEE 460), and Multidisciplinary Design II (MEE 432L). While specific grant funding is not detailed, her research output and awards suggest active involvement in funded projects related to rehabilitation technology and engineering education. She is also engaged in advancing pedagogical methods, particularly in fostering entrepreneurial mindset through scaffolded learning in mechatronics. Her lab likely involves interdisciplinary collaboration with health sciences and rehabilitation specialists, utilizing facilities such as motion capture systems, instrumented treadmills, and wearable inertial sensors for data collection and analysis.

Timothy Reissmanمشاهده پروفایل

دانشیار

• Human-Machine Interfaces
• Assistive Technology
• Mechatronics
• +۸ مورد دیگر

Timothy Reissman is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of Dayton’s School of Engineering. He is a full-time faculty member actively engaged in research, teaching, and professional service. His work bridges engineering and healthcare, focusing on human-machine interfaces and assistive technologies. Education: Ph.D., Mechanical Engineering, Cornell University, 2013 M.S., Mechanical Engineering, Cornell University, 2008 B.S., Mechanical and Aerospace Engineering, Cornell University, 2002 Dr. Reissman's research centers on developing mechatronic systems to improve medical and assistive devices such as prostheses, exoskeletons, rollator walkers, and canes. His work integrates biomechanics, control systems, and wearable technology. He maintains clinical collaborations with physical therapy faculty and hospitals in the Dayton area, ensuring real-world relevance. His group also investigates coupled electromechanical systems and energy harvesting for autonomous devices. His recent publications span from 2025 to 2020, showing sustained productivity in interdisciplinary areas including rehabilitation engineering, robotics, smart thermostats, and engineering education. The research demonstrates a strong trend toward human-centered design, sensor integration, and the application of virtual reality and wearable sensors in mobility assessment. Scientific Awards: University Teaching Fellow, University of Dayton, 2017–2018 Kern Entrepreneurial Engineering Network Faculty Fellow, 2017 National Institutes of Health NRSA T32 Postdoctoral Fellow, 2013–2015 Intelligence Community Research Fellow, Department of Defense, 2010–2012 Dr. Reissman advises student research and teaches courses such as Mechatronics, Robotics, and Dynamic Systems. He has secured research grants related to assistive technology and engineering education, including NSF IUSE grants. He serves as an Associate Editor for the Journal of Assistive Technology and is active in ASME, IEEE, and ASEE. His work is supported by strong institutional and clinical partnerships. He leads a research group focused on autonomous systems and human augmentation, with access to labs in Kettering Laboratories. His team develops novel solutions such as smart prosthetic liners, energy-harvesting structures, and feedback devices for mobility aids. Future work includes expanding the use of VR and AI in rehabilitation and enhancing the functionality of wearable assistive devices.

Carsten Behnمشاهده پروفایل

استاد

• Robotics
• Biomechanics
• Control Systems
• +۳ مورد دیگر

Carsten Behn is a Professor at Hochschule Schmalkalden, specializing in Engineering Mathematics within the Faculty of Mechanical Engineering. He holds a habilitation from TU Ilmenau in biologically inspired motion systems and has served as a lecturer at Hochschule Merseburg and TU Ilmenau. Education: Diplom-Mathematiker (2001), Dr.-Ing. (2005), Dr.-Ing. habil. (2013) His research focuses on tactile sensors for surface texture and object contour detection, adaptive control in compliant robotics, and mathematical modeling of biomimetic systems. Publications emphasize sensor dynamics, mechatronic design, and applications of vibrissae-inspired engineering. Recent articles explore tactile sensor signal tuning, flow detection using artificial vibrissae, and adaptive control in snake-like locomotion systems. His work bridges mechanical modeling, control theory, and bioinspired robotics. Behn has served on technical program committees for conferences like ICINCO 2018 and IEEE IRC 2019. He supervises PhD students Moritz Scharff and Lukas Merker in Mechanical Engineering at TU Ilmenau.

Johannes Clarمشاهده پروفایل

پژوهشگر

• Robotics
• Control Systems
• Mechatronics
• +۳ مورد دیگر

Johannes Clar is a Doctoral Researcher and Research Associate at the Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) within the Cluster of Excellence IntCDC at the University of Stuttgart. His work focuses on advanced control methodologies for robotic systems, particularly in the realm of cable-driven parallel robots (CDPRs) and their applications across industrial and agricultural domains. Research Interests: Adaptive control strategies for robotic systems Workspace optimization in reconfigurable CDPRs Unsupervised machine learning for agricultural vision tasks Stiffness adjustment and force distribution in robotic platforms Research Trends: His publications highlight a dual focus on robotics (specifically CDPRs) and AI-driven solutions. The 2025 study on adaptive preload control demonstrates significant improvements in path repeatability through real-time optimization, while the 2024 work on reconfiguration techniques expands CDPR usability. His agricultural technology research introduces unsupervised learning to streamline data annotation challenges. Labs & Teams: Affiliated with the Cluster of Excellence IntCDC, focusing on integrative computational design and construction, and the Institute for Control Engineering of Machine Tools and Manufacturing Units (ISW) at the University of Stuttgart.

Lucy Paoمشاهده پروفایل

استاد

• Control Systems
• Wind Energy Systems
• Renewable Energy
• +۲ مورد دیگر

Lucy Pao is the Palmer Endowed Chair Professor in the Department of Electrical, Computer, and Energy Engineering at the University of Colorado Boulder. She holds a courtesy professorship in Aerospace Engineering Sciences at the same institution and a joint appointment with the National Renewable Energy Laboratory (NREL) through the Renewable and Sustainable Energy Institute (RASEI). Her research spans control systems engineering with applications in wind energy systems and control co-design methodologies. 2018–Present: Palmer Endowed Chair Professor, University of Colorado Boulder 2010–Present: Courtesy Professor, Aerospace Engineering Sciences, University of Colorado Boulder 2009–Present: Fellow, Renewable and Sustainable Energy Institute (RASEI) 2004–Present: Professor, Electrical, Computer, and Energy Engineering, University of Colorado Boulder 2009–2014: Richard and Joy Dorf Professor, Electrical, Computer, and Energy Engineering, University of Colorado Boulder Her research focuses on control systems engineering applied to wind energy systems, including turbine control algorithms, co-design optimization, and mechanical actuation technologies. Recent work emphasizes online learning approaches for wind farm efficiency and propagation timing insensitivity in control experiments. Scientific awards include the Control Engineering Practice Award (2017), European Academy of Wind Energy’s Scientific Award (2017), Nyquist Lecturer Award (2019), and Pavel J. Nowacki Distinguished Lecturer (2023). She maintains active affiliations with organizations such as the Austrian Academy of Sciences, IEEE Control Systems Society, and the U.S. Defense Science Study Group.

Louis M. Ferreiraمشاهده پروفایل

دانشیار

• Medical Mechatronics
• Orthopaedic Surgery
• Biomechanics of Major Joints
• +۱۱ مورد دیگر

Louis M. Ferreira serves as an Associate Professor with a joint appointment in the Department of Mechanical & Materials Engineering and the Department of Surgery at Western University's Faculty of Engineering. His research focuses on medical mechatronics with special interest in orthopaedic surgery and biomechanics of major joints. Dr. Ferreira aims to improve healthcare outcomes in orthopaedic surgeries by developing new technologies and methods to provide surgeons with advanced tools and information. Ph.D. (2011) P.Eng. (Professional Engineer) Dr. Ferreira's research interests center on improving surgical outcomes through technological innovation. His work spans several interconnected areas including medical mechatronics, surgical robotics, computer-guided procedures, and biomechanical measurement systems. He focuses particularly on upper extremity biomechanics and orthopaedic applications, developing in-vitro joint motion simulators, computer-navigated surgical systems, and implantable transducers for biomechanical measurements. His research follows a 'bench to bedside' philosophy to translate engineering solutions into clinical practice. Analysis of Dr. Ferreira's publication record reveals consistent research in orthopaedic biomechanics and surgical technology development. His recent work shows increasing focus on upper extremity applications, surgical simulation, and measurement techniques. The publications demonstrate evolution from foundational biomechanical studies toward more applied surgical technology development, with recent papers emphasizing practical clinical applications and validation studies. Dr. Ferreira actively mentors graduate students in both engineering and medical disciplines. His research is conducted through the Bioengineering Laboratory and Surgical Mechatronics Laboratory, which are member labs of the Hand and Upper Limb Centre at St. Joseph's Health Care in London, Ontario. These labs operate within the Lawson Health Research Institute, facilitating close collaboration between engineers and clinicians. Dr. Ferreira co-directs research laboratories that include the Bioengineering Laboratory and the Surgical Mechatronics Laboratory. Both labs are member facilities of the Hand and Upper Limb Centre (HULC) at St. Joseph's Health Care in London, Ontario, and are located within the Lawson Health Research Institute. His research group includes graduate and undergraduate students from Western University who work alongside surgical trainees from the HULC Residency Program, creating an interdisciplinary environment focused on translating engineering solutions into clinical practice.

STANIMIR YORDANOV YORDANOVمشاهده پروفایل

دانشیار

• Automated Control Systems
• Intelligent Systems
• Industrial Systems Management
• +۶ مورد دیگر

Stanimir Yordanov Yordanov is an Associate Professor at the Department of Automation, Information and Control Technology within the Faculty of Electrical Engineering and Electronics at Technical University - Gabrovo. With a Doctorate in Technical Sciences and over 30 years of professional experience since 1993, he has established himself as a leading researcher and educator in control systems and automation. His educational background includes a Master of Engineering from VMEI - Gabrovo (1992) with specializations in Computer Engineering, Management Technologies, and Pedagogy, followed by a Doctorate (2006) and Associate Professor qualification (2010) in specialized technical fields. His teaching portfolio encompasses System Programming, Operating Systems, Digital Control Systems, and Industrial Robotics, among others. Professor Yordanov's research focuses on automated control systems, intelligent management of technological processes, industrial system monitoring, and object/system modeling. His work demonstrates a consistent trajectory toward increasingly sophisticated control algorithms and applications across diverse domains from electrohydraulic systems to environmental monitoring. The recent publications reveal a strong emphasis on advanced control techniques including neuro-PID regulators, model predictive control, and applications of artificial intelligence in industrial contexts. His extensive project portfolio includes 22 significant research initiatives, ranging from national projects like the 'Competence Center for Intelligent Mechatronic Systems' to international collaborations such as the 'MechMate' project focused on European SME growth. These projects demonstrate his ability to secure funding and lead research teams across various technical domains. Professor Yordanov has mentored six PhD students to completion, with several successfully defending dissertations on topics including intelligent energy systems, embedded real-time operating systems, and robotic systems. His academic leadership extends to serving as an academic mentor for over 600 student internships. His laboratory work centers on electrohydraulic control systems, robotic manipulation, and intelligent monitoring applications, with recent projects developing smart dispensers, beehive monitoring systems, and low-cost health monitoring devices for pregnant women, demonstrating practical applications of his theoretical research.

David Harrisonمشاهده پروفایل

استاد

• Sustainable Design
• Renewable Energy
• Printed Electronics
• +۴ مورد دیگر

David Harrison is an Honorary Professor at Brunel University London's College of Engineering, Design and Physical Sciences, affiliated with the Brunel Design School. He holds a BSc in Engineering Science (Exeter University) and PhD in Robotics (Portsmouth Polytechnic). Previously, he held positions at BBC Research (1984-1989), University of Portsmouth (1990-1994), and Brunel (since 1994), advancing from Lecturer to Professor. His research focuses on Sustainable Design , Renewable Energy Integration , and Emerging Manufacturing Technologies , with emphasis on printed electronics, 3D-printed energy storage, and sustainable product-service systems. He founded the Cleaner Electronics Research Group and leads projects like EPSRC's 'Inclusive Immersion' and EU 'Powerweave'. Recent publications (2016-2017) reveal strong emphasis on 3D-printed energy storage solutions , sustainable systems design, and human-centered eco-innovation. Trends include material innovation for wearable electronics and methodologies for sustainable business transformation. Awards/Honors: Fellow of the Higher Education Academy He has supervised 15 PhD students to completion and secured major grants including EU Framework projects (£340,000), EPSRC initiatives (£350,000), and InnovateUK funding (£253,000). Current labs include the IMM research group focusing on sustainable electronics.

• Artificial Intelligence
• Mechatronic System Design
• Robotics
• +۷ مورد دیگر

Dr. Ahmet KÖROĞLU is a full-time Lecturer at Ahi Evran University's Mucur Vocational School, specializing in Civil Air Transportation Management. He has previously held lecturing positions at Sivas Bilim ve Teknoloji University since 2022, and has served in administrative roles as Assistant Dean at Sivas Bilim ve Teknoloji University since 2023 and as Department Head in 2022-2023. Educational Background: BSc in Mechatronic Engineering from Gaziosmanpaşa University (2011-2015) MSc in Mechatronic Engineering from Tokat Gaziosmanpaşa University (2016-2019) Research Interests: Dr. Köroğlu's research focuses on the intersection of artificial intelligence, mechatronic system design, and robotics. His work extends to applications in smart grid management systems where he explores IoT-based monitoring solutions for power quality disturbances. Research Projects: He is currently a researcher on a TÜBA- and TÜBİTAK-supported project titled 'Development and Application of IoT-based Monitoring System in Nano Network for Detection and Classification of Power Quality Disturbances in Smart Grid Management Systems' since 2023. Dr. Köroğlu's recent publication explores the integration of solar panels in aircraft design, examining their impact on energy efficiency and aerodynamic performance. This work bridges his expertise in mechatronics engineering, renewable energy applications, and aerospace design.