جست‌وجوی استاد و پژوهشگر

Micael Derelövمشاهده پروفایل

دانشیار

• Industrial Engineering
• Product Development
• Reliability Engineering
• +۵ مورد دیگر

Micael Derelöv is an Associate Professor at Linköping University's Department of Management and Engineering (IEI), specializing in Product Realisation (PROD). His work focuses on optimizing safety, reliability, and efficiency in industrial and aerospace systems. He contributes to sustainable product development through advanced methodologies in design optimization and failure analysis. His research integrates robotics, manufacturing systems, and systems engineering to address challenges in collaborative assembly, aircraft design, and risk management. Dr. Derelöv’s research interests include multi-objective optimization for balancing safety and weight in aircraft systems, industrial safety demonstrators, and reliability-centric design processes. He has developed frameworks for evaluating design concepts and identifying potential failures in early-stage engineering projects. His work also explores the application of genetic algorithms in concept synthesis and the use of qualitative modeling for risk assessment. His publications highlight trends in industrial safety, systems reliability, and aerospace engineering. Recent work includes advancements in safe collaborative robotics on assembly lines and methodologies for industrial safety demonstrators. Earlier contributions address cost optimization in reliability-focused design and bio-mechatronic product development. While no specific scientific awards are listed, his active research and academic role reflect a commitment to advancing engineering practices. He collaborates on student projects, such as a recent initiative designing a pressure-resistant device for space exploration, demonstrating engagement in applied and interdisciplinary research. Micael Derelöv’s affiliation with the Department of Management and Engineering positions him at the intersection of academic research and industrial innovation, particularly within the Product Realisation group. His work emphasizes sustainable, integrated approaches to product development, blending theoretical insights with practical applications in manufacturing and aerospace sectors.

Arthur ter Hofstedeمشاهده پروفایل

استاد

• Business Process Automation
• Process Mining
• Data Quality
• +۳ مورد دیگر

Arthur ter Hofstede is a Professor in the Faculty of Science and Head of the School of Information Systems at Queensland University of Technology (QUT). He previously held a Professorship at Eindhoven University of Technology (2010–2018) and has been a Visiting Professor at Tsinghua University (China), Sapienza University of Rome (Italy), and Sun Yat-sen University (since 2015). His research focuses on Business Process Automation (BPM), Process Mining, and Data Quality, with particular emphasis on the YAWL workflow system. He has supervised numerous PhD students in areas like process-data governance and gamified data cleaning. His work bridges academia and industry, addressing challenges in healthcare, insurance, and logistics. Key contributions include frameworks like ProcessProfiler3D for performance visualization and OrgMining 2.0 for organizational model mining. Awards include prestigious visiting scholar appointments and leadership roles in international collaborations. Education: Ph.D. and M.Sc. from Katholieke Universiteit Nijmegen (Netherlands). Research projects include Australian Competitive Grants on topics like cost-aware BPM and liquid process model collections. Notable publications explore event log imperfection patterns, privacy-preserving process mining, and robotic process automation integration. Grants: DP150103356 (Liquid Process Model Collections), DP120101624 (Cost-aware BPM) Labs/Teams: Centre for Data Science, YAWL Development Team International Collaborations: Sapienza University, Tsinghua University, Sun Yat-sen University

Ana Paivaمشاهده پروفایل

استاد

• Social Robotics
• Affective Computing
• Virtual Agents
• +۵ مورد دیگر

Ana Paiva is a Full Professor in the Department of Computer Science and Engineering at the University of Lisbon's Instituto Superior Técnico (IST), and coordinator of the GAIPS research group at INESC-ID, now focused on AI for People and Society. She holds a Katherine Hampson Bessell Fellowship at Harvard University's Radcliffe Institute for Advanced Study. Her work centers on creating socially intelligent AI and robots through agent-based approaches, emphasizing emotional and cultural competencies. Key research areas include Social Robotics, Affective Computing, and Pro-social Computing. She leads projects like the EU-funded ANIMATAS ITN network and Portugal's AMIGOS/AGENTS initiatives. Notable contributions include the FAtiMA Toolkit for developing emotional AI agents and pioneering work in hybrid human-machine societies. She has received awards such as the EurAI Fellowship (2019) and the Blue Sky Ideas Award at AAAI’18. Her research explores how machines can foster prosocial behaviors like altruism and cooperation, with applications in education, therapy, and ethical AI design. Her advising includes PhD students like Fernando Santos (Victor Lesser Award winner) and Elmira Yadollahi (ACM award recipient). Current projects focus on inclusive robotics for mixed-ability classrooms and ethical frameworks for human-robot collaboration.

• Robotic Vision
• Autonomous Systems
• Computer Vision
• +۶ مورد دیگر

Annette Stahl is a Professor at the Department of Engineering Cybernetics, NTNU, and an Onsager Fellow. She leads the Robot Vision Group and oversees the AILARON project, funded by the Research Council of Norway. Her expertise spans robotic vision, control theory, and autonomous systems. She holds a PhD in Applied Mathematics (Computer Vision) from Heidelberg University. Her research focuses on underwater robotics, autonomous vehicles, and aquaculture monitoring, with applications in fish health analysis and marine environmental sensing. Stahl has supervised numerous PhD and master’s students, including projects on autonomous ships (SFI AutoShip), underwater SLAM (AROS), and plankton identification. She collaborates with industry partners like Zebop AS and SINTEF Ocean. Notable projects include the robotic microplankton sniffer-dog and AI-driven fish welfare monitoring. Her work is published in top journals/conferences like IEEE Access and MIC Journal. She actively contributes to datasets like the VAROS Synthetic Underwater Data Set.

Kaiyu Hangمشاهده پروفایل

استادیار

• Robotics
• Robotic Manipulation
• Physical Interactions
• +۵ مورد دیگر

Kaiyu Hang is an Assistant Professor of Computer Science at Rice University, directing the Robotics and Physical Interactions Lab (RobotΠ Lab). He holds a PhD and MSc from KTH Royal Institute of Technology and a B.Eng. from Xi’an Jiaotong University. His postdoctoral research was conducted at Yale University. His research focuses on robotic systems capable of physically interacting with the environment and humans, emphasizing algorithms in optimization, learning, and control. Key areas include manipulation systems (small-scale grasping to large-scale multi-robot manipulation), robust control, and energy-efficient UAV perching mechanisms inspired by nature. His work has been featured in MIT Technology Review, Science Robotics, and NPR. Hang has received notable awards such as the NSF CAREER Award (2023) and ASME Rising Star (2024). He serves on editorial boards for IEEE Robotics and Automation Letters (2019–present), ICRA (2021–present), IROS (2020–present), and Humanoids (2019). He also organizes the 10th Robotic Grasping and Manipulation Competition (RGMC) at ICRA 2024. As a faculty advisor for the Rice Robotics Club and on the CS Graduate Admission Committee, Hang actively mentors students and promotes inclusivity in robotics through initiatives like Inclusion@RSS. His lab’s projects aim to enhance manipulation robustness, develop novel UAV landing gear, and advance nonprehensile manipulation via motion planning and control.

Moe Thandar Wynnمشاهده پروفایل

استاد

• Process Mining
• Data Quality
• Business Process Management
• +۳ مورد دیگر

Professor Moe Thandar Wynn is a Co-Director of QUT's Centre for Data Science and holds a Professorship in the School of Information Systems at Queensland University of Technology (QUT). She leads the Process Science Academic Program and serves as the Academic Lead of Research for the School of Information Systems. Her expertise spans Process Mining, Data Quality, and Robotic Process Automation (RPA). Prof Wynn has attracted over AUD 6 million in research funding and holds an h-index of 41 with 8700+ citations. She is a member of the Australian Research Council College of Experts (2023–2025) and has received prestigious awards including the QLD Women in Technology Excellence Award (2024). Her research focuses on formal foundations of process modeling, verification, and automation. She has contributed to international conferences as a co-chair and program committee member, and co-edited special issues on RPA and process dynamics. Prof Wynn collaborates with industries like healthcare, insurance, and agriculture to optimize business processes through data-driven insights. Current research includes privacy-preserving process mining and quality-driven event log enhancement. Education: PhD (QUT, 2006), M. Information Technology (Research, QUT) Key Projects: Hospital Capacity Optimization, Liquid Process Model Collections, Risk-Aware BPM Supervision: Over 10 completed PhD/MSc students in process mining and analytics Awards: Multiple QUT Excellence Awards, ARC College Membership Her lab focuses on advancing process intelligence and RPA, with ongoing efforts in data quality frameworks and process mining standards (e.g., IEEE XES). She actively participates in industry partnerships, such as the CRC Food Agility project, to bridge research and real-world applications.

• Construction Engineering
• Simulation Science
• Information Technology in Construction
• +۳ مورد دیگر

Simaan Abourizk, PhD, PEng, is the Dean of the Faculty of Engineering at the University of Alberta and holds the rank of Professor in Construction Engineering and Management. He also served as the NSERC/Alberta Construction Industry Research Chair (1997–2011) and Canada Research Chair in Operations Simulation (2001–2008). His roles include Executive Board membership at the Construction Research Institute of Canada. Education: Doctor of Philosophy in Construction Engineering and Management from Purdue University (1990), Master of Science and Bachelor of Civil Engineering (Honors) from Georgia Institute of Technology (1985 and 1984). Research focuses on advancing simulation technologies for construction and natural resource industries, including: Development of the Simphony simulation environment and COSYE framework Integration of AI, visualization, and scheduling tools (e.g., SmartEst, MTRACK) Optimization of tunneling, modular assembly, and industrial fabrication processes Key awards include the E. Whitman Wright Award (2002), E.W.R. Steacie Memorial Fellowship (2001), and Walter Shanly Award (2001). Current projects emphasize synthetic environments, safety analytics, and data-driven decision support systems in construction. He leads initiatives on risk simulation, resource allocation, and industrial automation.

• Agricultural Automation
• Robotics
• Control Systems
• +۵ مورد دیگر

Timo Oksanen is a Visiting Professor at Aalto University's Department of Electrical Engineering and Automation. His research focuses on agricultural automation, robotics, and control systems, with a strong emphasis on ISO 11783 vehicle network standards and autonomous systems. He collaborates with industry partners to develop next-generation agricultural machinery solutions, including automated guidance systems, sensor integration, and cybersecurity protocols. Oksanen leads the Autonomous Systems research group and has authored over 100 publications since 2009. Key research areas include precision agriculture technologies, machine learning applications in farming, and the integration of OPC UA with agricultural communication standards. Recent work addresses challenges in autonomous vehicle navigation, dust-resistant vision systems, and safety-critical perception architectures for automated field operations. Notable projects include the AGRIX initiative for ISOBUS-compatible implements and the development of a next-generation task controller using OPC Unified Architecture. Oksanen has also contributed to international standards for tractor-implement communication and four-wheel steering systems. His work bridges academic research with industrial applications, addressing both technical innovations (e.g., LIDAR-based object detection) and operational efficiency improvements in farm machinery fleets.

Martin Servinمشاهده پروفایل

دانشیار

• Digital Physics
• Computational Modelling
• Robotics
• +۳ مورد دیگر

Martin Servin is an Associate Professor at the Department of Physics, Umeå University, and leads the Digital Physics research group within the UMIT Research Lab. His work focuses on computational modeling and simulation of granular materials, robots, and vehicles, with applications in AI-based control and perception. He holds a doctoral degree from Umeå University (2003) and has pioneered research in real-time physics simulation, particularly in the context of autonomous machinery and off-road robotics. Research Interests : Digital physics, granular materials simulation, autonomous systems, reinforcement learning, and simulation-to-reality transfer. His group develops advanced simulation tools for industries like forestry, mining, and construction. Key Projects : Mistra Digital Forest (2019–2026) AILUR (Digital Twin for AI-controlled Lunar Robotics) XSCAVE (Explainable, Safe Control for Heavy Machinery) Publications emphasize simulation methodologies, AI integration, and real-world validation across robotics, vehicle dynamics, and granular mechanics. Notable contributions include work on wheel loader dynamics, deep reinforcement learning for control systems, and terrain modeling. Awards include the Spin-off award for industry-grade physics in Unreal Engine (2018) , recognizing his role in Algoryx Simulations, a spin-off company commercializing his research. Labs/Teams : UMIT Research Lab, Digital Physics Group, and collaborations with Algoryx Simulations.

Theodosia Stratoudakiمشاهده پروفایل

مدرس ارشد

• Laser Ultrasonics
• Remote Sensing and Imaging
• Non-Destructive Evaluation (NDE)
• +۱۲ مورد دیگر

Theodosia Stratoudaki is a Senior Lecturer in the Department of Electronic & Electrical Engineering at the University of Strathclyde, Faculty of Engineering. She joined the university in 2017 as a Strathclyde Chancellor’s Fellow and has since become a leading researcher in laser ultrasonics and remote sensing. She holds a PhD from the University of Warwick and completed postdoctoral research at the University of Cambridge and the University of Nottingham. Her research interests lie at the intersection of optics, acoustics, and materials engineering, focusing on laser-induced phased arrays (LIPAs) for remote ultrasonic imaging, non-destructive evaluation (NDE), and in-process monitoring in extreme environments. She applies these techniques to advanced manufacturing, including additive manufacturing and nuclear applications, collaborating with industrial partners such as the UK Atomic Energy Authority, Sellafield, and Hitachi. The trends in her recent publications show a strong emphasis on improving the resolution, efficiency, and adaptability of laser ultrasound systems—particularly through innovations in array design, grating lobe suppression, signal processing, and machine learning integration. Her work increasingly incorporates robotics and deep learning for automated inspection and tomography. She has received multiple scientific awards, including: EPSRC DTA PhD studentship (2018) BINDT Annual Conference Paper Award (2018) Best Paper Award (2018) Best Paper Award (2015) Dr. Stratoudaki is actively involved in research leadership and mentoring. She is currently recruiting PhD students and supervising multiple funded projects, such as the Robotic Laser Ultrasonic Inspection System and Impact Enhancement for Adaptive Laser Induced Phased Arrays (ALIPA). She also contributes to professional service as co-chair of the departmental Equality, Diversity and Inclusion (EDI) committee, chair of the Institute of Physics’ Physical Acoustics group, and a member of the British Standards Institute’s ultrasonics committee (EPL/87). She leads a research team focused on laser ultrasonics and is part of collaborative networks involving the University of Strathclyde’s Centre for Ultrasonic Engineering and industrial partners. Her lab develops advanced optical systems for non-contact ultrasonic inspection, often integrating robotics and AI for real-time, in-process evaluation.

Joseph E Michaelisمشاهده پروفایل

استادیار

• Educational Technology
• Human-Computer Interaction
• Social Robotics
• +۳ مورد دیگر

Joseph E Michaelis is an Assistant Professor at the University of Illinois Chicago in the Department of Computer Science. His research sits at the nexus of learning sciences and human-computer interaction (HCI), focusing on designing educational technologies that utilize human-centered methods and social-cultural learning perspectives. Education: Ph.D. in Learning Sciences (minor in Computer Science), University of Wisconsin-Madison, 2019 M.S. in Science Education Leadership, Illinois Institute of Technology, 2012 Research Interests: Michaelis specializes in creating learning companion robots for STEM education, with a focus on fostering social connections, collaboration, and interest development in children during classroom and home learning activities. His work integrates human-centered design principles with educational theories to enhance engagement and learning outcomes. Publications Overview: His research explores social robotics for education, covering classroom assistant robots, interest development frameworks, and the use of technology to support collaborative learning in STEM disciplines. Key themes include long-term learner engagement, social-cultural learning perspectives, and adaptive educational technologies. Labs & Teams: Learning + Interest + Technology Lab

Michael Bührenمشاهده پروفایل

استاد

• Automation
• Robotics
• Digitalization
• +۷ مورد دیگر

Michael Bühren is a Professor at Westfälische Hochschule, affiliated with the Faculty of Mechanical Engineering Bocholt and the Mechatronik-Institut Bocholt. He serves as Project Manager for the Digital Factory Bocholt and Digi-Up! initiatives and was the speaker of the Mechatronics Institute Bocholt in 2019. His research focuses on automation, robotics, digitalization, and Industry 4.0 . He investigates practical applications of smart manufacturing technologies, including simulation and virtualization, robotics with human-robot collaboration (MRK) capabilities, OPC UA for data acquisition, and machine learning for data and image processing. His work bridges industrial automation with modern digital technologies. His recent publications reflect a strong trend toward integrating industrial systems with digital platforms, particularly through OPC UA and IoT frameworks, while earlier work includes large-scale industrial automation projects in the steel industry and dynamic modeling of marine drive systems. Prof. Bühren is actively involved in technology transfer, represented through his role in the "Effizienz Forum Wirtschaft" and initiatives connecting startups with small and medium enterprises (SMEs). He has no listed scientific awards in the provided text. He teaches courses in control engineering, electrical drive systems, motion control, energy management, and artificial intelligence at the bachelor’s and master’s levels. He advises students, though specific names are not listed. His research is conducted within the Mechatronik-Institut Bocholt, a hub for interdisciplinary research in mechatronics, automation, and digital production technologies.

• Automation
• Control Engineering
• Robotics
• +۲ مورد دیگر

Michał Dołęgowski serves as a Lecturer at the Department of Automation, Opole University of Technology, where he conducts academic instruction and research within engineering disciplines focused on automated systems development and industrial applications. His research centers on Automation, Control Engineering, and Robotics, with emphasis on advancing industrial control methodologies and intelligent system integration. These fields drive innovation in manufacturing processes, precision engineering, and adaptive control solutions across technological sectors requiring robust automation frameworks. No scientific awards or honors are documented in the available institutional profile. Current information indicates active teaching responsibilities including scheduled student consultations, though specific details regarding graduate student supervision or externally funded research projects are not provided in the university directory.

R. Karina Gallardoمشاهده پروفایل

استاد

• Agricultural Economics
• Consumer Demand Analysis
• Technology Adoption in Agriculture
• +۳ مورد دیگر

R. Karina Gallardo is a Professor and Extension Economist at Washington State University’s School of Economic Sciences. Her work bridges research and outreach to enhance value-added agribusiness opportunities for specialty crops in Washington state. Education: Ph.D. in Agricultural Economics (Oklahoma State University, 2007), M.Sc. in Agricultural Economics (Mississippi State University, 2004), and degrees in Food Science/Technology from Universidad Nacional Agraria La Molina (Peru). Her research focuses on consumer demand analysis and technological change economics , with emphasis on: Consumer preferences for fresh fruit quality Profitability of new cultivar adoption Labor-saving agricultural technologies Willingness-to-pay for clean labels and biotech Market responses to nutrition information Recent work includes economic viability of robotic harvesters, H-2A labor preference modeling, and CRISPR technology acceptance in cranberries. Grants from USDA-NIFA-SCRI (total $84,912–$276,224 per project) support her studies on storage technologies, automated harvest systems, and pest management. Collaborations span institutions like Cornell, University of Minnesota, and Michigan State University. She employs experimental auctions, sensory evaluations, and choice experiments to analyze market dynamics for tree fruits, berries, and processed foods.

Juan Antonio Corrales Ramónمشاهده پروفایل

پژوهشگر ارشد

• Robotics
• Human-Robot Interaction
• Robotic Manipulation
• +۳ مورد دیگر

Juan Antonio Corrales Ramón is a Research Fellow at the University of Santiago de Compostela's CiTIUS laboratory under the prestigious Beatriz Galindo program. Previously, he served as an Associate Professor at Sigma Clermont Engineering School (2014-2020) and conducted research at UPMC/ISIR in France. His academic credentials include a PhD in Automatic Control and Robotics (2011) and a Computer Engineering degree (2005) from the University of Alicante. Dr. Corrales' research centers on robotics with specialized interests in: Human-robot physical interaction for industrial applications Deformable object manipulation and control theory Tactile sensing technologies and sensor fusion Robotic grasping and in-hand manipulation Multi-robot coordination systems His recent publications demonstrate strong focus on adaptive control systems for deformable objects, tactile sensor development, and human-robot collaboration frameworks. He has participated in significant EU projects including: H2020 SoftManBot (soft material handling) H2020 Bots2Rec (recycling robotics) FUI Aerostrip (aerospace applications) Sudoe Commandia (service robotics) Honors include competitive fellowships: FPU Program Fellowship (Spanish Ministry of Education) Beatriz Galindo Program Fellowship (research excellence) At CiTIUS laboratory, he contributes to advanced robotics research with applications in industrial automation, healthcare, and agricultural robotics.