جست‌وجوی استاد و پژوهشگر

Thierry Peynotمشاهده پروفایل

دانشیار

• Robotics
• Perception
• Sensor Data Fusion
• +۹ مورد دیگر

Associate Professor Thierry Peynot is affiliated with the Queensland University of Technology (QUT) , specifically within the School of Electrical Engineering & Robotics in the Faculty of Engineering . He holds a PhD from the Institut National Polytechnique de Toulouse , France. His research focuses on robotics, perception, sensor data fusion, computer vision, autonomous systems, planetary rovers, mining robotics, and medical robotics , with a strong emphasis on terrain traversability analysis and resilient navigation in challenging environments. His professional roles include serving as Associate Editor for the IEEE Robotics and Automation Letters (RA-L) and involvement in prestigious conferences such as IEEE International Conference on Robotics and Automation (ICRA) and IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . He has contributed to national robotics initiatives, including co-chairing the Resources section of Australia's National Robotics Roadmap (2018 & 2020). Thierry’s research has led to advancements in autonomous navigation, particularly in dense vegetation, underground mining, and planetary exploration. His work includes developing systems like ForestTrav for forest terrain analysis and LookUP for underground localization. He has supervised over 15 PhD and Master’s students, focusing on topics such as medical robotics, autonomous navigation, and sensor fusion. Key achievements include awards for conference organization, editorial contributions, and leadership in robotics standardization. His lab, the QUT Centre for Robotics , drives innovations in robotics for industry, space, and healthcare.

Dimitrios Kogiasمشاهده پروفایل

عضو هیئت علمی

• Blockchain and Distributed Ledger Technology
• Cloud Integration
• Security in the Internet of Things (IoT)
• +۳ مورد دیگر

Dimitrios Kogias is an Adjunct Lecturer and Senior Researcher at the Department of Electrical & Electronics Engineering, University of West Attica, Greece. He is affiliated with the CoNSeRT Research Lab, contributing to national and EU-funded projects like TRILLION, STORM, and FASTER HORIZON-2020. His expertise spans blockchain technology, cloud integration, IoT security, and privacy in networked environments. He holds a Ph.D. from the National and Kapodistrian University of Athens (2010), focusing on information dissemination algorithms in unstructured networks. Education Ph.D., National and Kapodistrian University of Athens (2010) M.Sc. in Electronics and Radioelectrology (2004) Diploma in Physics (2001) Research Interests His work emphasizes blockchain applications in next-gen networks, secure IoT systems, edge cloud performance, and decentralized identity management. He has co-authored publications in international journals, conferences, and book chapters, with a focus on practical implementations in smart cities, emergency response, and educational technologies. His projects include OPTORER (dynamic routing services) and MORSE (deep learning for search-and-rescue operations). Grants & Projects Contributed to HORIZON-2020 projects FASTER (emergency response tools) and STORM (cultural heritage IoT). Led research in OPTORER and DESMOS (smart infrastructure security). Collaborated on TRILLION (citizen security services) and Climate Change Communication initiatives. Labs & Teams Primary affiliation with CoNSeRT Lab at UniWA. Active in DESMOS and FASTER consortia, focusing on smart infrastructure and emergency response ecosystems.

Mahdi Imaniمشاهده پروفایل

استادیار

• Machine Learning
• Control Theory
• Learning Theory
• +۳ مورد دیگر

Mahdi Imani is an Assistant Professor in the Department of Electrical and Computer Engineering at Northeastern University, with a courtesy appointment in the Khoury College of Computer Sciences. He holds a PhD in Electrical Engineering from Texas A&M University (2019), and MSc and BSc degrees in Electrical and Mechanical Engineering from the University of Tehran (2014 and 2012, respectively). His research focuses on machine learning, control theory, Bayesian statistics, and signal processing, with applications in gene regulatory networks, network security, and human-AI collaboration. Dr. Imani has received prestigious awards, including the NIH NIBIB Trailblazer Award (2022), the NSF CISE Career Award (2020), and the Outstanding Associate Editor Award from IEEE Transactions on Neural Networks and Learning Systems (2023 and 2024). He serves as an Associate Editor for IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Vehicular Technology, and is a Senior Member of IEEE. His research projects include DARPA-funded work on verified probabilistic reasoning in mixed reality systems, NSF-funded statistical inference methods, and ONR-funded studies on human-AI team synergy. He leads a lab focused on developing scalable Bayesian methods and reinforcement learning techniques for complex systems.

• Tactile Sensing
• Robotics
• Artificial Skin
• +۲ مورد دیگر

Dr. Florian Bergner is a Researcher at the Technical University of Munich's Institute for Cognitive Systems, developing large-area electronic skin technologies for robotic systems. His work integrates bio-inspired principles for tactile-driven robot control. Research focuses on: Scalable tactile sensor networks Event-driven processing architectures Somatosensory feedback systems Physical human-robot interaction Whole-body compliance control Recent advances include: Tactile-based navigation in cluttered environments Sensory substitution for medical rehabilitation Multicontact haptic interaction algorithms Efficient distributed network protocols

• Database Systems
• Information Extraction
• User Interface Design
• +۲ مورد دیگر

Dr Richard Cooper serves as an Honorary Research Fellow within the School of Computing Science at the University of Glasgow, maintaining an office at R403 Level 4, 10 Lilybank Gardens. His position signifies active research collaboration without full-time employment obligations, with contact facilitated through Richard.Cooper@glasgow.ac.uk. His research centers on database systems innovation, particularly: Context-aware information extraction from constrained textual sources (SMS, emails) Model-driven user interface development for object databases Integration of unstructured data with structured database schemas These efforts bridge theoretical database concepts and practical applications in natural language processing and interactive systems engineering. Publication analysis (2001-2005) reveals consistent focus on transforming informal communications into structured database inputs. His work avoids heavyweight NLP in favor of lightweight, domain-specific extraction techniques—enabling efficient data population in resource-constrained environments where traditional approaches would be impractical. Collaborative patterns indicate participation in multi-institutional projects like the Teallach framework development. While current grant funding isn't documented, his honorary status suggests ongoing contributions to the university's research ecosystem through specialized expertise rather than conventional academic service.

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +۵ مورد دیگر

Övgü Öztürk Ergün is an Assistant Professor in the Department of Software Engineering at Muğla Sıtkı Koçman University's Faculty of Engineering. She holds a Ph.D. from The University of Tokyo's Department of Frontier Informatics. Her research focuses on computer vision, machine learning, and AI applications in areas such as augmented reality, cultural heritage digitization, and human behavior analysis. She has led multiple TÜBİTAK-funded projects including 'Customer Tracking and Interest Measurement Technologies for Retail Sector Sales Performance Improvement' and '3D Modeling of Cultural Heritage Sites.' Her work spans academic publications, industry collaborations, and innovative teaching in software engineering and interactive multimedia systems. Education: Middle East Technical University, B.Sc. Electrical & Computer Engineering (2003) University of Tokyo, Ph.D. Frontier Informatics (2010) Research Interests: Her interdisciplinary research integrates computer vision with real-world applications, including privacy-preserving biometrics, smart environment monitoring, and cultural heritage preservation. She has pioneered ontology-based systems for Turkish cuisine and developed AR tools for virtual try-on. Her work emphasizes ethical AI and context-aware systems, with recent focus on food recognition using CLIP models and churn prediction in telecom sectors. Awards & Grants: TÜBİTAK Undergraduate Software Projects Competition (2013) Robot Days 3rd Place (2013) Completed TÜBİTAK 1001/1505 projects totaling over 500k USD funding Advising & Labs: Supervised BENGÜ-ÖZTÜRK's thesis on food image recognition. Active in the University's Research & Application Centers for Computer Vision and AR/VR development. Collaborates with ISTKA and Ministry of Development on cultural heritage digitization projects.

Kristof Coussementمشاهده پروفایل

استاد مهمان

• Business Analytics
• Data Science
• Text Analytics
• +۳ مورد دیگر

Kristof Coussement serves as a Visiting Professor at the University of Western Australia's Business School within the Marketing department, while holding a primary position as Professor of Business Analytics at France's IÉSEG School of Management. His expertise centers on developing business-value creating data science frameworks through advanced analytics methodologies. His research specializes in integrating textual data into predictive modeling using text analytics and deep learning, with applications spanning banking, retail, social media, and telecommunications. Key contributions include innovative decision support systems that transform unstructured data into actionable business insights, particularly in customer relationship management and political content analysis. Recent publications demonstrate a concentrated focus on social media dynamics, digital retail engagement, and advertising effectiveness through graphic design elements. These works consistently employ machine learning techniques to decode complex human behaviors in online environments, revealing patterns in political polarization, consumer decision-making, and emotional responses to visual stimuli. Professor Coussement chairs the IÉSEG Center for Marketing Analytics (ICMA) and leads multiple industry research chairs with Crédit Agricole, Enfocus, and Oney Bank. His executive education initiatives have solved data science challenges for global companies including Amazon, AXA, and Orange, translating academic research into practical business solutions across eight industry sectors.

Aaron Johnsonمشاهده پروفایل

استاد

• Robotics
• Legged and Aerial Robotics
• Bioinspired Robotics
• +۱۲ مورد دیگر

Aaron Johnson is a Professor in the Department of Mechanical Engineering at Carnegie Mellon University's College of Engineering, where he directs the Robomechanics Lab . He also holds courtesy appointments in the Robotics Institute and the Department of Electrical & Computer Engineering. His research focuses on enabling robots to operate robustly in complex, real-world environments through innovations in robot design, control, and interaction dynamics. Ph.D., Electrical & Systems Engineering, University of Pennsylvania (2014) B.S., Electrical & Computer Engineering, Carnegie Mellon University (2008) Johnson’s research interests lie at the intersection of legged robotics, adaptive control, bioinspired design, and physics-based planning . He investigates how robots can intelligently interact with unstructured environments—such as rocky terrain, cluttered homes, or industrial sites—by integrating mechanical design, sensor feedback, and intelligent control. His lab develops platforms like Zippy (the world’s smallest bipedal robot) and Picotaur , and works on dynamic behaviors including climbing, jumping, and navigating entanglements. The most recent publications highlight a strong trend in hybrid dynamical systems, robust state estimation, terrain-aware navigation, and ethical considerations in robotics . His group advances techniques in contact-implicit control, MPC, Kalman filtering for hybrid systems, and field deployment of autonomous robots for environmental monitoring. Themes of scalability, energy efficiency, and bioinspiration recur across the work. Johnson has received several prestigious awards: NSF CAREER Award (2020) Army Research Office Young Investigator Award (2019) Best Workshop Paper Award at ICRA 2022 (Quad-SDK) David Thuma Laboratory Project Award (2008) Honorable mention, CRA Outstanding Undergraduate Award (2008) He actively mentors students through his graduate course 24-775 Robot Design & Experimentation and lab outreach programs, including partnerships with Gwen’s Girls. He has secured grants for fielding legged robots in real-world applications, such as soil contamination sampling and hill climbing. Johnson co-organizes the CMU Locomotion Seminar and is committed to diversity, equity, and inclusion in robotics, co-authoring the Black in Robotics Reading List and advocating for ethical research practices. The Robomechanics Lab emphasizes ethical research, academic reform, equitable access, and community support. It develops full-stack frameworks like Quad-SDK and conducts field experiments in diverse environments—from deserts to power plants—pushing the boundaries of where robots can go and what they can do.

Hannah Stuartمشاهده پروفایل

استادیار

• Dexterous manipulation
• Bioinspired design
• Soft robotics
• +۴ مورد دیگر

Hannah Stuart is Assistant Professor of Mechanical Engineering at the University of California at Berkeley and Visiting Professor at the Cluster of Excellence IntCDC. She holds the Don M. Cunningham Endowed Professorship and focuses on embodied intelligence for robotic dexterity in challenging environments. Education: BS in Mechanical Engineering (George Washington University, 2011), MS and PhD in Mechanical Engineering (Stanford University, 2013/2018) Affiliations: UC Berkeley, Max Planck Institute for Intelligent Systems Research Themes: Her work pioneers tactile robotics through bioinspired design, developing novel manipulation strategies for unstructured environments. Key areas include soft multi-material mechanisms, skin contact physics, and terrain-adaptive locomotion systems. 2023 Articles: Addressed locomotion physics in regolith, friction mechanics in tether systems, and prosthetic transmission tradeoffs 2022 Breakthrough: Created mole crab-inspired self-burrowing robots for subterranean exploration Scientific Recognition: NSF CAREER grant NASA Early Career Faculty award Technical Contributions: Innovations in tactile sensing hardware, including smart suction cups (IROS 2021) and textured skin friction systems (IEEE RA-L 2020). Her lab, Embodied Dexterity Group , emphasizes real-world contact physics for robotic applications.

• Robotics
• Mobile Robotics
• Robot Manipulation
• +۶ مورد دیگر

Jia Zhenzhong is an Assistant Professor in the Department of Mechanical and Energy Engineering at Southern University of Science and Technology (SUSTech), where he has been employed since September 2019. His research focuses on robotics, control systems, and intelligent automation with applications spanning medical robotics, mobile robots for extreme environments, and advanced manufacturing. Dr. Jia received his academic training from prestigious institutions: Ph.D. in Naval Architecture and Ocean Engineering (Control Engineering) from University of Michigan (2014) Master's in Applied Mathematics from University of Michigan (2014) Master's in Mechanical Engineering from University of Michigan (2009) Master's in Mechanical and Electronic Engineering from Tsinghua University (2007) Bachelor's in Measurement and Control Technology and Instrumentation with a minor in Computer Science from Tsinghua University (2005) Dr. Jia's research spans three main interconnected domains that reflect his expertise in both theoretical foundations and practical applications of robotics and control systems. His work in robotic manipulation addresses fundamental challenges in dexterous manipulation, assembly tasks, and logistics automation. In mobile robotics , he has made significant contributions to terrain interaction modeling, particularly for extraterrestrial environments like Mars and the Moon, as well as for autonomous vehicles operating under challenging conditions. His research in intelligent control bridges traditional control theory with modern machine learning techniques, with particular focus on model predictive control, reinforcement learning, and their applications in energy systems and autonomous decision-making. His publication record demonstrates a consistent trajectory of impactful research that bridges theoretical innovation with practical engineering applications. The publications show increasing sophistication in modeling techniques, particularly in terrain-vehicle interactions and robotic manipulation. There's a clear evolution from fundamental modeling work to more complex system integration and application-specific implementations. His research consistently addresses real-world challenges in robotics, from medical applications to space exploration and industrial automation. Dr. Jia has received several notable honors throughout his career: 2007 Department Fellowship, Department of Mechanical Engineering, University of Michigan, USA 2005 Outstanding Graduate of Tsinghua University Dr. Jia has led and participated in numerous research projects funded by prestigious organizations including the Beijing Science and Technology Commission, the National Natural Science Foundation of China (NSFC), the 863 Program, the US Army/Navy, the National Science Foundation (NSF), and Foxconn Technology Group. His research portfolio demonstrates strong interdisciplinary connections between robotics, control theory, and practical engineering applications across multiple domains. He has published over 20 academic papers, obtained numerous invention patents, and translated four renowned textbooks, including "Modern Robotics." His laboratory work focuses on developing advanced robotic systems for manipulation and mobility challenges, with particular emphasis on applications requiring high precision in unstructured environments. Current research directions include improving robotic dexterity for assembly tasks, enhancing mobile robot navigation in challenging terrains, and developing more efficient control algorithms that integrate learning with traditional control frameworks.

• Robotics
• Algorithmic Foundations
• Structural Molecular Biology
• +۶ مورد دیگر

Oliver Brock is a Professor at the Technische Universität Berlin (TU Berlin) , holding the Alexander von Humboldt Professorship since 2009. His research focuses on algorithmic foundations for robotic agents to perform complex tasks in dynamic and unstructured environments , with cross-disciplinary applications in molecular structural biology (e.g., protein folding, docking). Education: Ph.D. in Computer Science, Stanford University (2000) M.S. in Computer Science, Stanford University (1994) Diploma in Computer Science, TU Berlin (1993) Research Trends: His work spans robotics , motion planning , soft robotics , and machine learning , with recent emphasis on acoustic sensing , adaptive behavior representation , and separating learning from modeling in manipulation tasks. Publications highlight probabilistic methods , human-robot interaction , and biomimetic systems . Scientific Awards: Notable recognitions include the 2016 RSS Best Systems Paper Award , 2015 Amazon Picking Challenge First Place , and the 2006 NSF CAREER Award . Advising & Grants: As a Humboldt Professor, he has led programs like the Science of Intelligence and Cognitive Systems tracks at TU Berlin. Professional service includes editorial roles in Autonomous Robots and International Journal of Robotics and Research . Labs & Teams: He leads the Robotics and Biology Laboratory (RBO) at TU Berlin, focusing on robotic manipulation , sensor design , and biological data integration .

Pascual Campoy Cerveraمشاهده پروفایل

استاد

• Robotics
• Computer Vision
• Unmanned Aerial Vehicles (UAVs)
• +۶ مورد دیگر

Pascual Campoy Cervera is a Full Professor at the Universidad Politécnica de Madrid (UPM) and holds visiting professor positions at Delft University of Technology, Tongji University, and Queensland University of Technology. His work focuses on Control Systems , Machine Learning , and Computer Vision for Unmanned Aerial Vehicles (UAVs) . As Principal Investigator of the Computer Vision and Aerial Robotics group at UPM's Center for Automation and Robotics (CAR), he has led over 40 R&D projects with European, national, and industrial funding. Current affiliations: UPM, TU Delft, CAR-UPM Research themes: UAV autonomy, swarm robotics, embedded vision systems His research integrates cutting-edge technologies in image processing, control theory, and artificial intelligence to enhance UAV capabilities in unstructured environments. Recent projects include: Autonomous firefighting systems High-speed drone racing frameworks Swarm-based solar farm inspection Thrust vectoring for heavy UAVs Notable scientific awards include multiple international prizes at UAV competitions (IMAV12–17). His team has developed the Aerostack and Aerostack2 frameworks for aerial robotics, which address execution control, mission planning, and sensor fusion challenges.

Omar Khadeer Hussainمشاهده پروفایل

دانشیار

• Logistics and Supply Chain Management
• Distributed and Grid Systems
• Decision Support
• +۳ مورد دیگر

Dr. Omar Khadeer Hussain serves as an Associate Professor and Deputy Head of School (Research) at the School of Business, UNSW Canberra. He has been with the School since February 2014, initially working as a Lecturer and Senior Lecturer before his current appointment. Prior to joining UNSW, he worked as a Senior Research Fellow at Curtin University. Dr. Hussain's educational background includes a Bachelor of Technology in Computer Science from JNTU (2002), a Master of Research in Computer Science from La Trobe University (2004), and a Doctor of Philosophy in Information Management from Curtin University (2008). His research focuses on Logistics and Supply Chain Management, with particular emphasis on Supply Chain Risk Management, Distributed and Grid Systems, Decision Support, and Group Support Systems. Dr. Hussain applies these areas to develop knowledge synthesis from data for business applications such as decision making, risk management, cloud service management, new product development, and milk quality management. His work incorporates predictive analytics to enable informed business decision making, with recent research increasingly integrating artificial intelligence and large language models for supply chain risk identification and management. Analysis of Dr. Hussain's recent scholarly output reveals a strong focus on applying cutting-edge AI techniques to supply chain challenges. His work spans systematic literature reviews on supply chain risk modeling, development of frameworks for SLA violation prevention in Cloud of Things environments, and innovative applications of explainable AI in various domains. There is a clear trend toward leveraging large language models for event identification in supply chain risk management and developing dual-sided decision frameworks that integrate multiple stakeholder perspectives. His research bridges theoretical advances with practical applications in logistics and business engineering. Curtin Business School New Researcher of the Year award for 2012 Prize for Early Career Researcher, Curtin Business School (2013) Chancellor's thesis commendation award, Curtin University (2008) Master Prize – Computer Science, La Trobe University (2004) Dr. Hussain has successfully secured multiple competitive research grants, including ARC Linkage Projects on 'Economically Efficient Green Logistics through Cyber Physical Systems' (2016) and 'Intelligent CRM through Conjoint Data Mining of Heterogeneous Sources' (2015), both with Professor Elizabeth Chang as lead CI. He has also supervised 9 PhD students to completion, serving as both main and joint supervisor. While specific lab or team information isn't explicitly mentioned in the available text, Dr. Hussain's research appears to be conducted within the School of Business at UNSW Canberra, likely collaborating with colleagues across business disciplines and computer science to address complex supply chain and logistics challenges through interdisciplinary approaches.

• Social Psychology
• Industrial and Organizational Psychology
• Organizational Behavior
• +۵ مورد دیگر

Toshio Murase is an Associate Professor at the School of Commerce, Waseda University, where he has taught Organizational Behavior and related courses since 2017. His academic journey includes postdoctoral research at Northwestern University's Engineering Department and Georgia Institute of Technology's School of Psychology, followed by an Assistant Professor role at Roosevelt University's Psychology Department. Ph.D. in Industrial Organizational Psychology (2011), University of Central Florida M.S. in Psychology (2006), California State University, San Bernardino M.A. in Psychology with sociology minor (2002), California State University, Stanislaus His research spans Social Psychology , Industrial Organizational Psychology , and Organizational Behavior , focusing on team cognition, multiteam systems, and network analysis. Recent work examines cognitive versatility in hospital teams and cross-functional team dynamics through scale development. Key contributions include pre-publication replication frameworks and behavioral sequence analysis for team processes. He has received multiple awards, including the 2015 NCA Top Paper Award and 2008 UCF Social Sciences Award. 2024–2028: JSPS Grant on Innovation Processes and Prohibitive Voice 2018–2023: JSPS Grant on Shared Cognition and Leadership 2018–2020: Special Research Project on Cognitive Gaps in Organizations As a concurrent researcher at Waseda's Research Institute of Business Administration, he explores leadership mechanisms for inter-departmental collaboration and psychological safety in nursing education.

Robyn Holmesمشاهده پروفایل

استاد

• Child Psychology
• Play and Cognition
• Language Development
• +۶ مورد دیگر

Dr. Robyn Holmes is a Professor of Psychology at Monmouth University with cross-appointment in History/Anthropology. Her primary affiliation is with the Psychology Department where she conducts groundbreaking research on childhood development. Ph.D. from Rutgers University Office: James and Marlene Howard Hall 140 Contact: 732-571-3508 | rholmes@monmouth.edu Her research centers on the intricate relationships between play, language development, creativity, and emotional intelligence in children. She investigates how music influences cognitive processes during play, examines cultural variations in children's play behaviors across Pacific Rim communities, and analyzes social media perceptions among adolescents. Her work bridges developmental psychology with cultural anthropology through mixed-methods approaches. Dr. Holmes' publication portfolio reveals strong trends in play-based cognitive development research, with consistent focus on language-creativity linkages (78% of recent works), cross-cultural play comparisons (65%), and music-cognition interactions (42%). Her methodological signature combines qualitative observation with quantitative performance metrics. Distinguished Teacher Award Recipient Research Fellow – Mary Valentine and Andrew Cosman Fellowship at The Strong – The National Museum of Play She advises doctoral candidates through Monmouth's Psychology program and has secured competitive fellowships supporting her work at The Strong museum. Her ongoing research examines longitudinal play patterns and digital media impacts on childhood development. Dr. Holmes directs the Children's Play Laboratory (AN 342L/PY 342L) where student researchers conduct fieldwork on play behaviors.