جست‌وجوی استاد و پژوهشگر

Yiheng Huمشاهده پروفایل

مدرس

• Energy Storage Systems
• Renewables Integration
• Power System Analysis
• +۳ مورد دیگر

Yiheng Hu is a Lecturer in Electrical Engineering at the Department of Engineering, School of Computing and Engineering, University of Huddersfield. She holds a PhD in Transient Energy Storage Systems, funded by the UK Government Scholarship, and has completed postdoctoral roles at University College Dublin and the University of Manchester. B.Eng. in Mechatronics, Central South University (2012) M.Sc. in Power Systems, University of Manchester (2013) PhD in Transient Energy Storage Systems, University of Huddersfield (2021) Her research focuses on electrochemical energy storage systems, power electronics, and renewable energy integration, with applications in AI-driven battery management systems and grid stability. Recent work includes transient energy storage for fast frequency response and modeling approaches for grid-connected storage technologies. Key trends in her publications include advancements in energy storage materials, AI-optimized grid integration, and real-time simulation tools. Her work bridges power electronics, renewable systems, and sustainable energy frameworks. Scientific awards include recognition in the Top 50 Women in Engineering 2022 (UK) and the UK Government Scholarship for her PhD. She actively mentors through global energy programs. Mentor, Women in Energy Storage Programme (2024-2025) Mentor, Women in Renewable Energy in Africa (2023) Mentor, Women in Energy Storage Programme (2020-2021) She supervises PhD students on distributed energy storage integration, permanent magnet machine design for fuel cell vehicles, and AI-enhanced disaster management systems. She contributes to climate initiatives through the Women’s Engineering Society (WES) Climate Emergency Group.

Ole Madsenمشاهده پروفایل

استاد

• Robotics
• Automation
• Industry 4.0
• +۶ مورد دیگر

Ole Madsen is a Professor at the Department of Materials and Production within The Faculty of Engineering and Science at Aalborg University . His research focuses on Robotics and Automation , particularly in 5G Smart Production , AI for Manufacturing , and Industry 4.0 applications. He also holds a part-time position at Adding Robotics , applying his expertise in robot integration for industrial and healthcare settings. Research Interests : Robotics, Automation, AI, Sensor Systems, Modular Manufacturing, Welding Technology, Digital Twins, Human-Centered Robotics, Industry 4.0 His work spans 35+ years with over 205 publications , emphasizing smart production systems and robot-assisted processes . Key contributions include Swarm Production Architectures , 5G-Enabled Robotics , and Human-Robot Collaboration frameworks. He has supervised 10 PhD students and led major projects like RAU (Robot-Assisted Ultrasound) and GINP: Robotics & AI Innovation Network . Scientific Awards : SCAP2020 Best Presentation Award (2020) Ole's 31 projects include AP2030: Aseptic Factory 2030 (pharma production), AddSmart (robotics R&D), and 5G-Enabled Autonomous Systems . His 127 press/media mentions highlight advancements in robotic welding , industrial metaverse , and swarm production . He maintains an ORCID: 0000-0003-2133-2541 with extensive publication records across Swarm Robotics , Modular Manufacturing , and AI-Driven Production .

Timothy H. Gfroererمشاهده پروفایل

استاد

• Semiconductor Physics
• Optoelectronics
• Sustainable Energy Technology
• +۳ مورد دیگر

Timothy H. Gfroerer is a Professor of Physics at Davidson College , where he has been since 1999. His research focuses on semiconductor spectroscopy and defect analysis in optoelectronic devices for solar energy and LED applications. He has mentored over 25 undergraduate researchers who co-authored publications with him. Ph.D. in Physics from Dartmouth College (1996) M.S. in Electrical Engineering from Georgia Institute of Technology (1991) B.S. in Physics from University of the South (1989) His research interests include defect state characterization in semiconductors, carrier diffusion dynamics, and sustainable energy technology . He employs techniques like photoluminescence imaging, thermal diffusivity analysis, and transient capacitance spectroscopy. His work has been funded by the American Chemical Society – Petroleum Research Fund and Research Corporation . The scientific awards he has received include the Duke Energy Distinguished Visiting Faculty Award (2011-2012). His publications demonstrate expertise in defect-related recombination , quantum dot relaxation , and device efficiency optimization . He has also contributed significantly to physics pedagogy through lab development and student-centered teaching methods.

Ahalya Ravendranمشاهده پروفایل

پژوهشگر ارشد

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

Dr. Ahalya Ravendran is a Research Fellow at Data61 , Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia. Her work focuses on advancing computer vision , artificial intelligence , and distributed sensing for robotics, particularly in light-constrained environments. She previously held a postdoctoral position at the University of Sydney in collaboration with SCION, a New Zealand Crown Research Institute. PhD in Engineering and Information Technology (2023), University of Sydney Master's (Thailand), Bachelor's in Mechatronics Engineering (Sri Lanka) Her research spans robotic vision , 3D reconstruction , and burst imaging techniques. Recent publications highlight applications in low-light navigation , deep learning domain adaptation , and AI for forestry innovations . Scientific accolades include: IEEE Young Professional Fellowship (2023) Career Advancement Award (University of Sydney, 2023) Engineering and Information Technologies Research Scholarship (2019-2023) Dr. Ravendran actively advocates for women in technology as a WomenTechMaker Ambassador . Her interdisciplinary approach connects robotics , climate innovations , and sustainable technology .

Fateme Aghaeeمشاهده پروفایل

پژوهشگر

• Drone Engineering
• Control Systems
• Microgrids
• +۴ مورد دیگر

Fateme Aghaee is a Researcher at the University of Southern Denmark (SDU), affiliated with the Institute of Mechanical and Electrical Engineering . Her work spans multiple domains, including drone control systems and microgrid technology. Role: Researcher and educator Key Collaborations: SDU Mechatronics (CIM) and international researchers Her research focuses on advanced control systems for autonomous systems and power engineering solutions. She has contributed to cooperative drone control and resilient microgrid design through peer-reviewed publications. Recent publication trends highlight her expertise in: Drone Engineering: Cooperative control, slung-load dynamics Microgrid Technology: Distributed control, noise-resilient systems Communication Challenges: Packet loss, latency compensation She received the 1st award in Real-World Challenge on Multi-Robot Systems (2024) , underscoring her impact in cooperative robotics. Her teaching includes Control Engineering 2 , reflecting her technical specialization.

Majid Khazaeeمشاهده پروفایل

استادیار

• Energy Harvesting
• Piezoelectric Engineering
• Biomedical Engineering
• +۳ مورد دیگر

Majid Khazaee is an Assistant Professor at the Department of Thermal Engineering, Faculty of Engineering and Science, Aalborg University. His research focuses on energy harvesting technologies, particularly leveraging piezoelectric materials and cardiac kinetic energy for biomedical applications such as self-powered leadless pacemakers. He leads projects like NeoPEH-LP (2023-2025) and SelfPace (2021-2023), advancing innovations in energy harvesting for medical devices. Khazaee's work integrates mechanical, biomedical, and materials engineering to optimize energy conversion systems. Notable projects include the development of impact-based piezoelectric harvesters and low-power solutions for intracardiac devices. His research also explores vibration-based energy capture from diverse sources like automotive and industrial systems. Key collaborations include partnerships with Aalborg University’s Energy Harvesting group and industry partners such as Systemize ApS. His publications emphasize practical applications of energy harvesting, including patents on harvester designs. Despite no explicit awards listed, his work has been highlighted in media for contributions to medical device innovation and energy efficiency. Grant activities span €1.2M+ in funded projects, with a focus on translating research into clinical and industrial applications. His lab’s current efforts target durable, high-performance harvesters for long-term medical use, bridging the gap between theoretical models and real-world biomedical challenges.

Mo-Yuen Chowمشاهده پروفایل

استاد

• Micro/Smart Grids Energy Management
• Collaborative Distributed Control
• Battery Modeling and State Estimation
• +۴ مورد دیگر

Mo-Yuen Chow is a Professor in the Department of Electrical and Computer Engineering at North Carolina State University (NCSU), holding the position since July 1999. He also serves as a Qiushi Chair Professor at Zhejiang University, China, and a Chang Jiang Visiting Chair Professor (2010–2013). His research focuses on Micro/Smart Grids Energy Management, Collaborative Distributed Control, and Battery Modeling. He holds significant IEEE awards, including Fellow status (2007) and the Dr.-Ing. Eugene Mittelmann Achievement Award (2020). Chow earned his Ph.D. in Electrical Engineering from Cornell University (1987), following an M.Eng. (1983) and B.S. (1982) from the University of Wisconsin-Madison. His work spans battery health monitoring, distributed control systems, and cyber-physical security in smart grids. Notable contributions include innovations in battery state-of-charge estimation and resilient microgrid management frameworks. His publications emphasize cybersecurity in distributed energy systems, AI-driven energy management, and fault diagnosis in battery systems. He has pioneered frameworks like the DEED-ADMM algorithm for multi-energy systems and developed models for solid electrolyte interface growth in lithium-ion batteries. Awards: Over 10 major IEEE awards, including recognition for service and education. Research Themes: Smart grids, distributed control, battery systems, and cyber-physical resilience. Labs/Projects: DC microgrid testbeds and collaborative distributed energy management systems.

• Electronic Design Automation
• Energy Efficient Electronic Systems
• Low Power Design
• +۱۲ مورد دیگر

Andrea Calimera is a Full Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin, where he is also a member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory. He is actively involved in teaching and research, contributing to doctoral programs and undergraduate and graduate courses in computer engineering and data science. Full Professor (L.240), Polytechnic University of Turin Department of Control and Computer Science (DAUIN) Member, SmartData@PoliTO - Big Data and Data Science Laboratory Member, College of Computer, Film and Mechatronics Engineering His research interests center on electronic design automation, energy-efficient electronic systems, and low-power design, with strong connections to artificial intelligence, embedded systems, and IoT. His work bridges hardware and software optimization for intelligent edge devices. The recent publications (2023–2025) reflect a focused trend on federated learning, secure and efficient AI deployment on edge devices, and low-power embedded systems. Topics include robust evaluation in federated learning, resource management under label skew, homomorphic encryption for private tensor operations, pipeline optimization for keyword spotting, and side-channel attacks via DVFS for neural network fingerprinting—highlighting expertise in both performance and security of AI systems on constrained hardware. Andrea Calimera supervises PhD and master's students and leads research projects funded by competitive and commercial grants. He has contributed to national and international patents on low-power depth estimation and single-image signal processing. Scientific Director, SENSEI Project (2017–2019): Energy-efficient machine learning on chip for IoT Scientific Director, Commercial Project (2020–2022): Design tools for AI on energy-efficient embedded mobile devices Supervision of PhD student Erich Malan (ongoing, since 2022) on distributed and federated learning over IoT networks Supervision of Bachelor's student Chen Xie (2020–2024) on synthesis of smart sensors He teaches courses such as High-Level Synthesis (PhD), Synthesis and Optimization of Digital Systems, Machine Learning for IoT, and Efficient Computing for Artificial Intelligence across Computer Engineering and Data Science programs. His research group is EDA - Electronic Design Automation (DAUIN), which focuses on hardware-software co-design for intelligent systems.

• Robotics
• Control Systems
• Mechatronics
• +۴ مورد دیگر

Dr. Almas Shintemirov is a Research Fellow at Aalto University's Department of Electrical Engineering and Automation, specializing in robotics, control systems, and human-robot interaction. His research focuses on intelligent robotics, with emphasis on Real-time motion prediction for collaborative robots Nonlinear control algorithms for safe human-robot interaction Open-source robotic hardware design Deep learning applications in autonomous systems

• Electrical Engineering
• Computer Engineering
• Wireless Sensor Networks
• +۵ مورد دیگر

Mahmut Tenruh is an Associate Professor at Muğla Sıtkı Koçman University, Faculty of Engineering, Department of Electrical and Electronics Engineering. He holds a bachelor's degree from Gazi University and a Ph.D. from the University of Sussex. His research focuses on wireless sensor networks, CAN protocols, embedded systems, and renewable energy applications. 2024: Performance analysis of photovoltaic systems in Yemen 2021: Robotics control systems and intelligent vehicle suspension design 2019: Time-triggered CAN FD protocol for real-time distributed control 2015-2014: Network modeling, solar data tracking, and scheduling optimization His work has been cited 23 times across various publications. He has supervised over 20 graduate theses and led multiple TÜBİTAK-funded projects, including remote pool control systems and wireless security solutions. TÜBİTAK Scientific Award (2011) Muğla Sıtkı Koçman University Scientific Award (2011)

Daniel Leidnerمشاهده پروفایل

استاد

• Robotics
• Artificial Intelligence
• Autonomous Systems
• +۵ مورد دیگر

Daniel Leidner is a Cooperation Professor at the University of Bremen and a researcher at the German Aerospace Center (DLR) where he has been contributing to the Institute of Robotics and Mechatronics since 2011. He earned his doctorate in Artificial Intelligence and Robotics from the University of Bremen in 2017. Since 2017, he has led the Semantic Planning Group and the Fault-Tolerant Autonomy Architectures group at DLR, focusing on advanced task planning for autonomous robotic systems and enhancing the reliability of robotic operations in dynamic environments. Leidner's research interests span multiple areas in robotics and artificial intelligence. His work emphasizes developing robust and resilient robotic systems capable of autonomous operation in complex environments. He specializes in creating systems that can not only handle predictable scenarios but also flexibly respond to unforeseen events. His ERC Starting Grant project RECOVER.ME aims to equip robots with metacognitive abilities to autonomously manage hardware malfunctions by integrating formal reasoning with Vision-Language Models. This innovative approach enhances the resilience and efficiency of space robots, reducing the need for manual intervention during missions and leveraging insights from cognitive psychology for improved problem-solving capabilities. Leidner's research portfolio includes significant projects such as RECOVER.ME, FUTURO, EASE, OPERA, Smile2gether, Surface Avatar, and CoViPa. His publications demonstrate a strong focus on autonomous task planning, human-robot interaction, fault tolerance, and metacognitive capabilities in robotic systems. Recent publications highlight advancements in space teleoperation, assistive robotics, and cognitive reasoning for resilient robotic systems. ERC Starting Grant (2024) for project RECOVER.ME Georges Giralt PhD Award (Best European PhD Thesis in Robotics) Helmholtz Doctoral Prize MIT Technology Review Innovator under 35 Award Leidner has served as an advisor to the German Federal Government from October 2023 to July 2024, where he played a crucial role in developing a national strategy for AI-based robotics. His leadership in the Semantic Planning Group and Fault-Tolerant Autonomy Architectures group at DLR demonstrates his significant contributions to advancing robotic capabilities in challenging environments. His work bridges theoretical advances in cognitive robotics with practical applications in space exploration, healthcare, and industrial automation.

• Materials Science
• Mechanical Engineering
• Additive Manufacturing
• +۴ مورد دیگر

Dr. Yan Ma is a Research Fellow at the University of Wollongong's School of Mechanical, Materials, Mechatronic and Biomedical Engineering. She holds a PhD from the same institution (2015) and prior degrees from Northeastern University and Kunming University of Science and Technology. Her expertise spans material science and mechanical engineering, with focuses on advanced materials like steels, titanium alloys, intermetallics, and additive manufacturing techniques. Dr. Ma has led or contributed to significant projects including Baosteel-Australia Joint Research & Development Centre (BAJC) initiatives, Defence Materials Technology Centre (DMTC) projects, and industry consulting. Her research emphasizes welding metallurgy, material characterization, and multi-partner collaborations with organizations like ANSTO. She currently supervises PhD research on solidification behavior in high-nitrogen/molybdenum alloys. Key research interests include additive manufacturing processes, microstructural analysis of alloys, and improving material performance through in-situ alloying. Her funded work addresses challenges in pipeline integrity, defect mitigation, and next-generation materials for aerospace and industrial applications. She actively engages in teaching programs like ENGG542 and organizes events such as Materials Discovery Day. Dr. Ma’s publications (over 25 articles) explore topics like neutron diffraction for stress analysis, corrosion behavior of additively manufactured materials, and radiation effects on titanium aluminides. She is fluent in English and Mandarin, with peer-review capabilities in both languages.

• Control systems
• Mechatronics
• Precision engineering
• +۳ مورد دیگر

Chun-Yi Su is a Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University. His research focuses on advanced control systems, mechatronics, robotics, and precision engineering. He specializes in nonlinear control, hysteresis compensation, and adaptive systems applied to soft actuators, UAVs, and smart materials. Key research areas include: Control of dielectric elastomer actuators Fault-tolerant cooperative control of unmanned aerial vehicles (UAVs) Adaptive neural network-based control for nonlinear systems Data-driven approaches for power electronics and energy systems Recent work emphasizes: Soft robotics actuation mechanisms Fractional-order control strategies Resilient control under cyber-physical attacks Biomimetic robotic systems His lab develops innovative solutions for smart materials, mechatronic systems, and autonomous robotics. Applications span renewable energy systems, biomedical devices, and aerospace engineering. Active in collaborative research with industry partners.

Suruz Miahمشاهده پروفایل

دانشیار

• Cyber-Physical Systems
• Optimal Control and Estimation
• Multi-Agent Systems
• +۳ مورد دیگر

Suruz Miah is an Associate Professor in the Department of Electrical and Computer Engineering at Bradley University and an Adjunct Professor at the University of Ottawa's School of Electrical Engineering and Computer Science. He holds a B.Sc. from Khulna University of Engineering & Technology (Bangladesh) and M.A.Sc./Ph.D. degrees from the University of Ottawa. His research focuses on Cyber-Physical Systems, Optimal Control, Multi-Agent Systems, and RFID Technology. He has held roles including Visiting Associate Professor at Hosei University (Japan), Visiting Research Fellow at DRDC Canada, and Part-Time Professorships at multiple institutions. Education: B.Sc., Computer Science and Engineering, Khulna University of Engineering & Technology (2004) M.A.Sc. and Ph.D., Electrical and Computer Engineering, University of Ottawa (2007, 2012) Research Interests: Dr. Miah specializes in Cyber-Physical Systems, including autonomous robotics, multi-agent coordination, optimal control, and machine learning applications. He leads projects on mobile robot navigation, energy management systems, and RFID-based localization. His work bridges theoretical control systems with practical implementations in robotics and industrial automation. Advising & Collaborations: Advised/co-authored over 20+ student research projects, focusing on reinforcement learning, multi-agent systems, and robotics. Collaborates with institutions like DRDC Canada, Bradley University's Cyber-Physical Systems Lab, and University of Ottawa's MIRaM Lab. Developed open-source frameworks like MAFOSS (Multi-Agent Framework using Open-Source Software) and BEMOSS (Building Energy Management System). Labs & Teams: Principal Investigator at Bradley's Cyber-Physical Systems Lab. Research member of the Machine Intelligence, Robotics, and Mechatronics (MIRaM) Lab at the University of Ottawa.

Ziad Saghirمشاهده پروفایل

استاد

• Mechanical Engineering
• Thermofluid
• Heat and Mass Transfer
• +۷ مورد دیگر

Dr. Ziad Saghir is a Professor in the Department of Mechanical, Industrial, and Mechatronics Engineering at Toronto Metropolitan University, Faculty of Engineering and Architectural Science. His research focuses on thermofluid systems, heat and mass transfer, and fluid dynamics, with a unique emphasis on microgravity environments. He has conducted experiments aboard the International Space Station, space shuttles, and parabolic flights, contributing significantly to reduced-gravity fluid science. Education: PhD, University of Toronto, 1984 MASc, Université Laval, 1980 BSc, Université Laval, 1979 His research interests include heat and mass transfer in porous media, computational fluid mechanics, and nanofluid applications in cooling and energy systems. He investigates how gravity affects fluid behavior, particularly hydrocarbons in reservoirs, with implications for reducing drilling needs and improving environmental sustainability. His teaching includes core courses such as Fluid Mechanics I, Applied Thermodynamics, and Transport Phenomena in Porous Media. The recent publications reflect a strong trend in microgravity fluid physics, thermodiffusion in complex mixtures, and advanced modeling of nanofluids. His work bridges experimental and numerical approaches, often under space-based conditions, aiming to develop accurate predictive models for industrial and environmental applications. Professional Affiliations and Activities: Professional Engineers Ontario (PEO) Founder and Chair, International Conference on Thermal Engineering Dr. Saghir is actively involved in mentoring students and leads the Microgravity Science Lab. His former role as a program scientist at the Canadian Space Agency underscores his national and international contributions to thermal and fluid sciences. He continues to supervise graduate students and advance research in energy-efficient and sustainable thermal systems. Research Group: Microgravity Science Lab