جست‌وجوی استاد و پژوهشگر

Mahya Samمشاهده پروفایل

استاد آموزشی

• Human-Robot Collaboration
• Construction Resilience
• Architectural Engineering
• +۳ مورد دیگر

Mahya Sam, Ph.D., is an Assistant Teaching Professor at the Department of Civil Engineering, Florida International University. Her research focuses on human-robot collaboration in construction, construction resilience, architectural engineering, and sustainable construction practices. She has contributed to over a dozen peer-reviewed articles since 2020, exploring topics ranging from robotics integration in construction workflows to energy efficiency in building design. Dr. Sam earned her Ph.D. in Civil Engineering, reflecting her expertise in interdisciplinary approaches to civil engineering challenges. Her work emphasizes sustainable solutions, such as optimizing material selection for carbon footprint reduction and analyzing renewable energy trends for energy resilience. Her articles consistently highlight trends in automation adoption, construction industry strategies, and environmental sustainability. Key themes include evaluating human-robot collaboration perceptions, quantifying carbon emissions in educational buildings, and leveraging computational fluid dynamics for ventilation optimization in climate-specific designs. Despite her active research output, no scientific awards have been documented in the provided materials. Mahya Sam’s advising and grant activities remain unreported in the current data. She is affiliated with the Department of Civil Engineering and contributes to educational initiatives at FIU, though no specific labs or teams are mentioned.

• Automation Engineering
• Robotics
• Materials Science
• +۳ مورد دیگر

Andrés Suárez García is an Assistant Professor at the University of Vigo's Department of Systems and Automation Engineering. His teaching includes courses on Systems and Control Engineering, Industrial Computing, Robotics, and Automation Fundamentals. He has consistently taught across multiple academic years from 2014/2015 to 2024/2025, covering disciplines like structural mechanics, fluid dynamics, and manufacturing quality control. His research focuses on interdisciplinary engineering applications, emphasizing automation, robotics, additive manufacturing, and energy systems. Notable projects include optimizing 3D printing parameters, analyzing lithium-ion battery health using machine learning, and developing IoT-based educational platforms. He also explores naval and military engineering challenges, such as energy storage for submarines and structural design for space exploration vehicles. Over 20+ supervised final-year projects highlight his mentorship in cutting-edge technologies like piezoelectric energy harvesting, supercapacitor integration in military vessels, and AI-driven anomaly detection in maritime routes. His work bridges theoretical engineering principles with practical applications in defense, environmental monitoring, and sustainable infrastructure.

Ka-Chun Siuمشاهده پروفایل

استاد

• Movement Science
• Biomechanics
• Motor Learning
• +۵ مورد دیگر

Dr. Ka-Chun Siu is a Professor and Chair of Global Health Opportunities in the Physical Therapy program at the University of Nebraska Medical Center (UNMC), within the College of Allied Health Professions' Department of Health and Rehabilitations Sciences. He additionally directs the MSIA Patient-Oriented Research program and mentors graduate students in the Graduate College. His research is supported by NIH, NASA Nebraska Space Grant, NIOSH CS-CASH, and University of Nebraska Systems. Education: Post-Doc in Biomechanics, University of Nebraska at Omaha (2006-2009) PhD in Human Physiology, University of Oregon (2006) BS in Physical Therapy, Kaohsiung Medical University, Taiwan (1999) Research Interests: Dr. Siu specializes in movement science and biomechanics, with emphasis on aging populations and movement disorders. He pioneers technology-driven solutions—including virtual reality and mobile applications—to study balance control and gait biomechanics in diverse environments. A secondary focus involves human performance optimization and motor skill acquisition, particularly in advancing medical education methodologies. Publication Trends: Recent articles demonstrate concentrated expertise in virtual reality applications for surgical training and neurorehabilitation, AI integration in healthcare education, ergonomic analysis in minimally invasive surgery, and advanced biomechanical assessments of gait/mobility. Emerging themes include wearable technology validation, computational modeling of motor skills, and remote patient monitoring systems. Awards & Honors: 2023 UNMC New Investigator Award 2023 CAHP Significance in Research for Distinguished Faculty Award 2022 UNMC Distinguished Mentor Award 2022 UNMC Outstanding Faculty Mentor for Graduate Students Award 2020 UNMC Impact in Education for Research in Education Scholar Award 2015 UNMC Outstanding Professional Achievement Award 2014 SAHP Excellence in Research Award Professional Activities: Dr. Siu serves on editorial boards for scientific journals and as an external reviewer for Hong Kong's Health and Medical Research Fund. He oversees international physical therapy partnerships through UNMC's Global Health Opportunities Program and leads interdisciplinary research initiatives blending engineering, medicine, and data science.

Ryan T. Whiteمشاهده پروفایل

دانشیار

• Deep Learning
• Machine Learning
• Artificial Intelligence
• +۱۱ مورد دیگر

Ryan T. White is an Associate Professor at Florida Institute of Technology in the Department of Mathematics and Systems Engineering within the College of Engineering and Science. He serves as Director of the NEural TransmissionS (NETS) Lab, focusing on deep learning, computer vision, and data science. He is also an Affiliate Faculty member in Electrical Engineering and Computer Science. Ph.D. in Applied Mathematics (2015) from Florida Tech His research bridges deep learning and computer vision with applications in autonomous satellite operations , physics-informed neural networks for biomedical and geoscience problems, and NLP in aerospace domains. Projects include real-time edge computing , stochastic process analysis , and generative AI for synthetic data. The NETS Lab he directs has produced 15+ recent publications in conferences like IEEE Aerospace, AIAA SCITECH, and AAS/AIAA, with funding from the U.S. Space Force, Air Force Research Lab, and NSF. His teaching spans graduate/undergraduate courses in deep learning , machine learning , probability , and honors calculus . Current advisees include Ph.D. candidates and M.S. students working on topics like 3D object detection , information-theoretic neural analysis , and geophysical signal processing . The lab’s scientific contributions include real-time satellite feature detection , physics-guided neural networks for blood flow modeling, and entropy-based visual explanations for AI interpretability. Collaborations span Georgia Tech , Mulitscale Cardiovascular Fluids Laboratory , and Engage-AI for global development projects analyzing UNDP Sustainable Development Goals.

Eric Matsonمشاهده پروفایل

استاد

• Multiagent Systems
• Robotics
• Software Engineering
• +۳ مورد دیگر

Eric T. Matson is a Professor in the Department of Computer and Information Technology at Purdue University's Purdue Polytechnic Institute. He also holds a non-tenure-track Professorship at Dongguk University's Department of Computer Science and Engineering in Seoul, South Korea, and serves as an International Faculty Scholar at Kyung Hee University. His roles include directing the RICE Research Center and co-founding the M2M Lab. Education: PhD (Computer Science), University of Cincinnati (2008) MSE (Software Engineering), Kansas State University (2002) MBA (Operations Management), Ohio State University (1993) BS (Computer Science), Kansas State University (1988) Research Interests: Dr. Matson focuses on Multiagent Systems, Robotics, Software Engineering, and STEM Education. His work emphasizes organizational models for autonomous systems and outreach to underserved communities. Recent projects include sensor networks, cooperative robotics for search and rescue, and global academic collaborations through programs like the Korean Square Initiative. Publications: His research spans agent coordination, organizational transition algorithms, and robotics education, with notable contributions to journals like Autonomous Agents and Multiagent Systems and conferences such as AAMAS and SPIE. Awards: Ho Award for Outstanding Undergraduate Teaching (2010, 2011) 2024 Outstanding Leadership in Globalization Award Grants & Collaboration: Leads initiatives like the Purdue-Dongguk Korean Square Program and the POSTECH Graduate Degree Collaboration. Engages in global partnerships to advance AI and robotics education. Labs/Teams: Director of the RICE Research Center and co-founder of the M2M Lab, focusing on multiagent systems and robotic applications.

Thomas A. Berruetaمشاهده پروفایل

پژوهشگر

• Robotics
• Control Theory
• Active Matter
• +۳ مورد دیگر

Thomas A. Berrueta is a Researcher in the Department of Computing & Mathematical Sciences. His research focuses on advanced robotics, control systems, and active matter, with a particular emphasis on microrobotics, swarm behavior, and data-driven methodologies. He explores topics such as emergent phenomena in robotic systems, optimization of locomotion, and the integration of memristor circuits in robotic applications. His research interests span multiple disciplines, including robotics, control theory, and active matter. He investigates how robotic systems can achieve autonomous behavior through principles like symmetry breaking and collective dynamics. Key areas include the design of microrobots, the development of reinforcement learning algorithms for control, and the application of Koopman operators in active learning frameworks. His work also delves into the stabilization of robotic systems and the optimization of their operational efficiency across various scales. Recent publications highlight a focus on cutting-edge robotics and control methodologies. Trends include the exploration of emergent behaviors in robotic swarms, the application of thermodynamic principles to robotics, and the use of data-driven approaches for motion analysis and control. His work also addresses challenges in micromanipulation and the design of soft robotic systems capable of autonomy across different scales. No scientific awards mentioned. There are no listed advisees or grants associated with Thomas A. Berrueta in the provided information. No lab or team affiliations are mentioned in the provided content.

• Machine Learning
• Computer Science
• Medical Informatics
• +۷ مورد دیگر

Yan Li is a researcher with extensive contributions across interdisciplinary domains including Machine Learning , Signal Processing , and Environmental Science . Affiliated with institutions such as the University of Southern Queensland , Hebei University , and Shandong University , Li's work spans applications in Medical Informatics , Remote Sensing , and Operations Research . Recent publications highlight expertise in Deep Learning (e.g., hyperspectral classification, image fusion), Stochastic Modeling (e.g., chemotaxis models), and Federated Learning (e.g., vertical federated fuzzy clustering). Collaborative projects include 3D Reconstruction , Smart Grid Security , and Landslide Monitoring using satellite data. Li's 2025 work demonstrates a focus on Medical Imaging (segmentation algorithms with dual-frequency decoupling), AI in Education (ChatGPT adoption), and Industrial IoT (GPU-accelerated vessel trajectory visualization). While no explicit academic rank is provided, their prolific publication record suggests a Researcher role.

• Optimization Algorithms
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

Assoc. Prof. Dr. Adnan Acan is a faculty member in the Department of Computer Engineering at Eastern Mediterranean University (EMU). He holds a PhD from Middle East Technical University, specializing in Electrical Engineering. His academic roles include teaching and supervising numerous graduate students in areas such as optimization algorithms, computer vision, and biomedical signal processing. Education: PhD, Electrical Engineering, Middle East Technical University (1992) MS, Electrical Engineering, Middle East Technical University (1985) BS, Electrical Engineering, Middle East Technical University (1983) Research Interests: His research focuses on optimization algorithms, machine learning, pattern recognition, and biomedical applications. Notable areas include metaheuristic algorithms (e.g., particle filters, great deluge), multi-agent systems, and ECG/heartbeat classification. He has contributed to advancements in computational intelligence, evolutionary algorithms, and medical diagnostics. Advising & Students: He has supervised over 30 graduate students, including PhDs such as JAMSHID TAMOUK (2021) and ZAHRA GOLRIZ KHATAMI (2019), and master’s students like MILAD ROSTAMPOUR (2023). His work spans applications in robotics, face recognition, and numerical optimization. Labs & Collaboration: His teaching and research involve courses in artificial intelligence, algorithms, and computer engineering. He actively contributes to academic service, including roles as a session chair and reviewer in conferences. His lab focuses on developing innovative solutions to complex computational and biomedical challenges.

Matthew Haleمشاهده پروفایل

دانشیار

• Control Systems
• Optimization
• Multi-Agent Systems
• +۳ مورد دیگر

Matthew Hale is an Associate Professor in the Department of Electrical and Computer Engineering at Georgia Tech. He holds affiliations with the CORE Lab and focuses on control systems, optimization, robotics, and privacy-preserving algorithms. His work emphasizes multi-agent systems and practical applications in autonomous systems. Education: BSE in Electrical and Computer Engineering from the University of Pennsylvania (2012), PhD in Electrical and Computer Engineering from Georgia Tech (2017). Research Interests: His research bridges theoretical control systems with applied robotics, emphasizing distributed optimization, privacy in networked systems, and deception-resistant decision frameworks. Key areas include multi-agent coordination, privacy-aware control, and safe autonomous operations. Publications Trends: Recent work focuses on differential privacy in optimization, hybrid systems models for control, and scalable algorithms for multi-agent systems. Notable topics include privacy-preserving epidemic modeling and autonomous satellite control. Awards: AFOSR YIP (2023), ONR YIP (2022), AFRL Summer Faculty Fellowship (2020), NSF CAREER Award (2019). Advising & Grants: Leads research teams in multi-agent robotics and privacy engineering. Active in securing grants for foundational control theory and applied robotics projects. Labs/Teams: Core contributor to Georgia Tech’s CORE Lab , advancing interdisciplinary work in control systems and robotics.

Jeff Averyمشاهده پروفایل

دانشیار

• Human-Computer Interaction (HCI)
• Multi-Touch Systems
• Mobile Device Interaction
• +۳ مورد دیگر

Jeff Avery is an Associate Professor, Teaching Stream at the University of Waterloo. He holds a Ph.D. from the University of Waterloo and multiple degrees from McMaster University, including a B.A.Sc. (Bachelor of Applied Science), M.A., and B.A. His research focuses on optimizing input and interaction techniques for multi-touch systems and mobile devices. Teaching interests include software engineering methodology, reducing software complexity, and the design of interactive systems. Research Interests: - Multi-Touch Systems: Developing advanced gestures and interaction techniques for complex tasks. - Mobile Interaction: Enhancing user experience through innovations like distal vibrotactile feedback and handedness detection. - User-Centered Design: Bridging novice and expert user proficiency via guided shortcuts and adaptive interfaces. Publications span 2014–2020, emphasizing touch-based interfaces, gesture optimization, and HCI innovations. Notable work includes transient gestures for touch surfaces and anthropomorphized conversational agents. His research bridges theoretical HCI principles with practical design challenges in mobile and personal computing. Advising and Grants: No specific advising or grant details are provided in the text. His work is primarily research and teaching-focused within the University of Waterloo.

• Drone Autonomy
• Drone-Based Remote Sensing
• Aerospace Engineering
• +۷ مورد دیگر

Dr. Fernando Vanegas Alvarez is a Lecturer at the School of Electrical Engineering and Robotics at Queensland University of Technology (QUT). He holds a M.Sc. in Electrical Engineering from Halmstad University and a PhD in Aerial Robotics from QUT. His research focuses on Drone Autonomy, UAV navigation in GNSS-denied environments, and AI-assisted remote sensing. Education: M.Sc. in Electrical Engineering, Halmstad University PhD in Aerial Robotics, QUT Research Interests: Dr. Vanegas' work emphasizes motion planning for UAV exploration , POMDP , SLAM , Visual Odometry , and AI-driven remote sensing applications . His projects include UAV frameworks for planetary exploration, invasive species mapping, and multi-UAV coordination in challenging environments. Scientific Awards: Advanced Queensland Industry Research Fellowship Grant (2024) Supervision & Grants: Dr. Vanegas has supervised three postgraduate students, including topics like planetary exploration UAV systems and multi-agent UAV search algorithms. He actively accepts new students for Honours, Masters, and PhD programs. His research is supported by grants and collaborations with the QUT Centre for Robotics. Teams & Affiliations: He is a core member of the QUT Centre for Robotics and contributes to the School of Electrical Engineering & Robotics. His work bridges robotics, AI, and environmental science.

Laila Cureمشاهده پروفایل

دانشیار

• Healthcare Systems Engineering
• Operations Research
• Mathematical Modeling
• +۳ مورد دیگر

Dr. Laila Cure is an Associate Professor in the Department of Industrial, Systems and Manufacturing Engineering at Wichita State University's College of Engineering. She holds a Ph.D. from the University of South Florida. Her research focuses on applying analytics and mathematical modeling to healthcare systems, particularly in understanding human-technology interactions in uncertain environments. Key areas include healthcare operations optimization, quality improvement, and risk management. Dr. Cure teaches courses such as Probability and Statistics, Work Systems, and Data Mining and Analytics. She leads the Health Systems Engineering (HSE) Lab, which specializes in healthcare operations analysis, optimization, and data-driven decision-making. The lab employs tools like statistical analysis, simulation, and mathematical programming to improve healthcare delivery processes. Her work emphasizes practical applications, such as optimizing ambulance crew workflows, reducing hospital readmissions, and enhancing infection control through strategic facility design. She has advised students like Dr. Parisa Eimanzadeh, who pursued a tenure-track faculty position after her defense. Dr. Cure's research spans trauma care quality, clinical workflow interruptions, and healthcare technology integration, contributing to both academic and applied advancements in the field. Contact: Laila.Cure@wichita.edu , Industrial and Manufacturing Engineering Department, Wichita State University.

• Maritime Safety
• Operational Risk Management
• Autonomous Systems
• +۳ مورد دیگر

Ingrid Bouwer Utne is a Professor in the Department of Marine Technology at the Norwegian University of Science and Technology (NTNU). Her research focuses on risk assessment, autonomy, safety, and maintenance management of marine and maritime systems. She leads the Risk Group at NTNU and has been a main supervisor for numerous PhD students in areas like autonomous systems safety and risk modeling. She is actively involved in research projects such as the ERC AdG BREACH (Risk-Based Rationality in Autonomous Systems), SFI Autoship (Center for Autonomous Ships), and SAFEGUARD (Intelligent autonomous systems for safeguarding ocean infrastructure). Her work emphasizes risk-based control systems, online risk monitoring, and human-autonomy collaboration in maritime operations. Key publications include 'Risk and Interdependencies in Critical Infrastructures' (Springer) and 'Online Probabilistic Risk Assessment of Complex Marine Systems' (Springer). She has advised over 20 PhD students and contributed to industry-funded projects like UNLOCK and ORCAS, focusing on safer autonomous systems design and verification.

Josep Casanovasمشاهده پروفایل

استاد

• Modelling and Simulation
• Internet and Information Systems
• Urban Mobility
• +۴ مورد دیگر

Josep Casanovas is a Full Professor at the Statistics and Operations Research Department of the Technical University of Catalonia (UPC), affiliated with the Barcelona School of Informatics. He previously served as head of inLab FIB (2012-2020) and as dean (1998-2004) and vice-rector (2006-2011) of UPC, leading strategic initiatives in university governance and ICT policies. His research focuses on Modelling and Simulation , Internet and Information Systems , and Urban Mobility . He has led projects for the European Union, including C-ROADS Spain, REMEDiAL, and ECHORD++, addressing intelligent transport, software automation, and robotic innovation. Recent publications highlight his work on agent-based simulation for urban health, deep learning applications in traffic and energy savings, and wildfire management tools . He co-directs LogiSim and coordinates the Severo Ochoa Research Excellence Program at the Barcelona Supercomputing Center (BSC-CNS).

• Surgery
• Public Health
• Global Oncology
• +۳ مورد دیگر

Shilpa Murthy is an Assistant Professor of Surgery in the Colon and Rectal Surgery division at Yale School of Medicine. Her clinical practice operates at the West Haven Veterans Affairs Hospital, while her research bridges surgical outcomes with public health frameworks to address healthcare disparities. Education: MD from Pennsylvania State University, MPH from Harvard T.H. Chan School of Public Health, and BS in Molecular Cellular Biology from University of Michigan. Research Focus: Specializes in improving cancer care delivery for underserved populations through global oncology, health services research, and surgical equity studies. Recent publications examine colorectal surgery outcomes , global cancer disparities , and health policy innovations . Her work includes collaborations across Africa, Europe, and North America. Scientific Recognitions: Surgical Resident Humanitarian/Volunteerism Award (2015) Professional networks include partnerships with WHO Cancer Division, Lancet Oncology Commission, and Yale's multidisciplinary research teams.