جست‌وجوی استاد و پژوهشگر

• Virtual Reality (VR)
• Human-Computer Interaction
• Haptic Feedback Systems
• +۷ مورد دیگر

Roope Raisamo is a Professor in the Department of Computing Sciences at Tampere University, part of the Faculty of Information Technology and Communication Sciences. His research focuses on advanced human-computer interaction, virtual/augmented reality systems, haptic feedback technologies, and their applications in medical, automotive, and assistive technology domains. He leads multidisciplinary projects involving collaboration with industry partners like car manufacturers and healthcare institutions. Key areas of expertise include: (1) Design of immersive XR environments with multimodal feedback integration, (2) Haptic actuator development using smart materials like magnetorheological fluids, (3) Ergonomic interfaces for autonomous vehicles, and (4) Accessibility solutions for seniors and disabled populations. His work bridges theoretical HCI research with practical applications seen in surgical training systems, automotive UIs, and wearable communication aids. Raisamo's research outputs from 2023-2025 show strong focus on: - Sensory augmentation in food perception through XR (2025) - Medical VR applications for surgical planning and tumor visualization (2024-2025) - Haptic-mediating technologies for automotive and industrial interfaces (2023-2025) He has pioneered the use of embedded haptic waveguides in steering wheel interfaces and developed novel textile-based AAC systems for non-verbal communication. Current projects include exploring the medical metaverse for collaborative surgical planning and creating AI-enhanced research tools like TAUCHI-GPT.

Prateek Bansalمشاهده پروفایل

استادیار

• Transportation Engineering
• Data Science
• Artificial Intelligence
• +۶ مورد دیگر

Dr. Prateek Bansal is a Presidential Young Assistant Professor at the National University of Singapore (NUS), leading the Behavioural Cognitive Science (BeCoS) lab. His research focuses on developing AI-driven methodologies to analyze mobility behavior and urban systems. He holds a PhD from Cornell University and has held fellowships at Imperial College London and visiting roles at multiple institutions. His expertise spans transportation engineering, econometrics, and causal inference. Dr. Bansal is an elected board member of the International Association of Travel Behaviour Research and serves on editorial boards of top journals like Transportation Research Part B . He has received prestigious awards including the Presidential Young Professorship (2021) and Leverhulme Trust Fellowship (2020). His lab investigates individual-level decision-making models and system-level urban planning frameworks. Education: PhD, Transportation Engineering (Cornell University, 2016-2019); MS, Transportation Engineering (UT Austin, 2013-2015); BTech, Civil Engineering (IIT Delhi, 2008-2013). Research interests include neurophysiological data modeling, activity-based urban systems, and causal inference for infrastructure planning. Notable contributions include studies on electric vehicle adoption, ride-sourcing demand estimation, and ethical decisions in autonomous systems. His work integrates machine learning with traditional transportation models to address contemporary challenges like urban congestion and sustainable mobility. Professional activities include organizing conferences, delivering keynotes (e.g., 2023 Summer School of Behavior Modeling), and advising on policy issues such as carsharing and road safety. The BeCoS lab collaborates globally, leveraging interdisciplinary approaches to advance transportation science.

• Computational Mechanics
• Structural Crashworthiness
• Additive Manufacturing
• +۵ مورد دیگر

Professor Qing Li is a faculty member at the School of Aerospace, Mechanical and Mechatronic Engineering, The University of Sydney. He obtained his PhD from Sydney in 2000, underwent postdoc training at Cornell University (2000-2001), and held academic roles at James Cook University (2004-2006). He joined Sydney in 2006 via a Sesqui senior lectureship, becoming Associate Professor in 2010 and Professor in 2014. He served as Director of Postgraduate Studies (2007-2012) and Director of Biomedical Engineering (2017-2019). Education: PhD (University of Sydney, 2000), ME (UTS), ME (Hunan) His research focuses on computational design, multidisciplinary optimization of nonlinear and time-dependent multifunctional materials, and biomedical applications. Key areas include additive manufacturing , biomechanics , and machine learning in structural reliability. Recent publications emphasize fracture modeling in biomaterials, reliability analysis, and tissue scaffold design. Recent publications highlight Bayesian learning for robotic systems, probabilistic transformation in reliability analysis, and phase field fracture models for additively manufactured composites. Collaborations with industry partners like Cochlear and Stryker span ARC , NHMRC , and MRFF projects. Awards: Clarivate Highly Cited Researcher (2020), Top 50 Australia Research Leader (2020), APACM Computational Mechanics Award (2016) Fellowships: ARC Future Fellow (2013-2017), ARC Australian Postdoctoral Fellow (2001) He supervises PhD students in projects like epidermal electrodes , Silver Diamine Fluoride remineralization , and virtual surgical planning . His leadership extends to the Centre for Advanced Materials Technology and editorial roles in computational methods journals.

Mohammad Sooratiمشاهده پروفایل

استادیار

• Artificial Intelligence
• Swarm Robotics
• Human-Swarm Interaction
• +۳ مورد دیگر

Dr. Mohammad Soorati is an Assistant Professor of AI at the University of Southampton , affiliated with the Department of Electronics and Computer Science. His research focuses on human-swarm interaction , swarm robotics , and explainable AI , with applications in trust modeling, aerial swarms, and distributed machine learning. He leads the eXplainable Human-swarm Systems project and co-investigates an EPSRC-funded initiative on 5G-connected UAVs. Dr. Soorati sits on the boards of the Center for Machine Intelligence and Center for Robotics. His research has been featured in outlets like IEEE Spectrum and Robohub . He serves as an associate editor for ICRA and academic editor for PLOS ONE, and holds editorial roles in high-impact robotics conferences (IJCAI, AAAI, AAMAS). His work explores tools for human operators to interpret multi-agent systems and enhance situational awareness. Dr. Soorati teaches Machine Learning Technologies , Interdisciplinary Team Project , and Programming I . He actively supervises PhD students in AI and robotics, with current advisees including Thomas Graham Kelly and William Hunt. His awards include the AAMAS Best Demonstration Award (2023) and a Best Paper Award at ACRS 2010.

Mitchell Pryorمشاهده پروفایل

استاد پژوهشی

• Robotics
• Automation
• Nuclear Engineering
• +۴ مورد دیگر

Mitchell Pryor is a Research Professor in the Department of Nuclear and Radiation Engineering at the University of Texas at Austin. He specializes in applied robotics and automation, particularly in hazardous environments such as nuclear facilities, energy sectors, and defense applications. Pryor earned his BSME from Southern Methodist University (1993), followed by an MS (1999) and PhD (2002) in Mechanical Engineering from UT Austin. His research focuses on robotics for hazardous environments, including nuclear waste management, autonomous systems, and human-robot collaboration. He leads the Nuclear & Applied Robotics Group (NRG) and co-founded RAPID, an industry affiliate program supporting automation in energy sectors. His work spans robotics in extreme environments, augmented reality interfaces, and task planning frameworks. Key collaborations include Army Futures Command (AFC), NASA, DARPA, and DOE national labs such as INL, LANL, and ORNL. Pryor’s contributions include developing the TeMoto software framework for robotic autonomy, virtual fixture systems, and radiation surveying methodologies. He chairs the ANS Robotics & Remote Systems Division and actively participates in IEEE, ASME, and other professional societies. His research emphasizes interdisciplinary approaches to deploy robotics in complex, uncertain environments for tasks like material handling, mobile manipulation, and environmental monitoring. Notable projects include AR-STAR for real-time robot data modification, MaRMOT for object tracking, and TeMoto 2.0 for task execution formalisms. His work bridges theoretical robotics with practical applications in nuclear safety, energy infrastructure, and defense systems.

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.

• Sensor Technology
• Environmental Monitoring
• IoT Systems
• +۳ مورد دیگر

Ada Fort is an Associate Professor in the Department of Information Engineering and Mathematics at the University of Siena, Italy. Her research focuses on advanced sensor systems, including environmental monitoring, biomedical instrumentation, and IoT applications. She holds a Laurea in Electronic Engineering (1989) and a Ph.D. in Nondestructive Testing (1992) from the University of Florence. Key research areas include wearable sensors for air quality monitoring, magnetic detection of contaminants, and QCM-based biosensors. Her work integrates machine learning for signal processing and fault detection in industrial and environmental systems. Notable projects involve self-sufficient IoT nodes powered by solar energy and low-cost sensor networks for agriculture and healthcare. Publications highlight innovations in sensor design, data imputation for environmental monitoring, and entropy-based security systems. Her contributions span interdisciplinary fields, linking engineering principles with applications in healthcare, agriculture, and climate science.

• Design
• Logistics
• Simulation
• +۳ مورد دیگر

Professor James P Scanlan is a Professor of Design at the University of Southampton within the School of Engineering and Physical Sciences. He holds a materials science degree from Manchester University (1977), an MSc in aerospace design from Salford University, and a PhD from the University of the West of England (1995) in computer modeling of aerospace design processes. Prior to academia, he worked in the aerospace industry for over a decade, including as Head of Manufacturing Research at BAe Regional Aircraft. His research focuses on design optimization, logistics, simulation, and organizational optimization, funded by BAE Systems, Airbus, Rolls-Royce, and the EPSRC. He leads the Computational Engineering Design Centre (CEDC) and runs MSc courses in aerospace IGDS. Notable external roles include membership at the US National Science Foundation and European Programme Committee for Value Driven Design. He has received the Rolls-Royce R&T Award for Creativity (2008). Beyond academia, Scanlan is a keen squash player and pilot of Piper Warrior aircraft. Education: BSc Materials Science, Manchester University (1977) MSc Aerospace Design, Salford University PhD in Computer Modelling of Aerospace Design Process, University of the West of England (1995) Research Interests: Design, logistics optimization, simulation, and autonomous systems integration, particularly in aerospace and healthcare logistics. Key Projects: Includes EPSRC-funded CASCADE Programme Grant, SAMULET Project, and DECODE (Decision Environment for Complex Designs). Recent work explores drone logistics safety, airspace sharing, and cost-benefit analyses for UAV adoption in healthcare. Awards: Rolls-Royce R&T Award for Creativity (2008) Advising & Grants: Supervises PhD students like Ben Grindley. Leads projects sponsored by EPSRC, European Union, and industry partners like Thales and Airbus. Labs/Teams: Director of the Computational Engineering Design Centre (CEDC), collaborating on advanced design and simulation methodologies.

• Machine Learning
• Computer-Aided Medical Diagnosis Systems
• Medical Signal/Image Processing
• +۵ مورد دیگر

Dr. Jiang Li is a Professor in the Batten College of Engineering & Technology at Old Dominion University (ODU). He holds a Ph.D. in Electrical Engineering from the University of Texas at Arlington (2004), an M.S. in Automation from Tsinghua University (2000), and a B.S. in Electrical Engineering from Shanghai Jiao Tong University (1992). Before joining ODU in 2007, he was a postdoctoral fellow at the NIH's Department of Radiology (2004–2006). Dr. Li's research focuses on machine learning, medical imaging, and signal processing. His work spans computer-aided diagnosis systems for medical applications, neural networks, and modeling/simulation. He has led or co-led numerous grants, including funded projects on biomarker identification, robotic dental implantation, and hazard detection. His research trends emphasize interdisciplinary applications of AI, such as medical imaging analysis, remote sensing, and cybersecurity in engineering systems. Recent publications highlight advancements in deep learning for radiation estimation, seagrass mapping, and adversarial attack detection. Awards : NIH Fellows Award for Research Excellence (2006) UTA TxTEC Award (2003) Image Processing Scholarship (2002) Herman Fellowship (2000) Dr. Li's advising and grants reflect collaborations across disciplines, with notable contributions to biomedical engineering and computational methods. He has contributed to labs and teams in medical imaging, robotics, and environmental remote sensing.

Julian Gardnerمشاهده پروفایل

استاد

• Microsensors
• MEMS Technology
• Electronic Engineering
• +۵ مورد دیگر

Julian Gardner is a Professor of Electronic Engineering at the University of Warwick's School of Engineering, leading the Electrical and Electronic Engineering Discipline Stream. He holds a First in Physics from Birmingham University, a PhD in Physical Electronics from Cambridge, and a DSc in Electronic Engineering from Warwick. His 30-year career includes 5 years in industry as an R&D Engineer and extensive research in chemical microsensors, founding companies like Cambridge CMOS Sensors (sold to ams in 2016) and spin-offs Flusso Ltd and Sorex Sensor Ltd. His expertise spans MEMS-based sensors, signal processing, and AI-driven data analysis. Research interests include chemical/environmental microsensors, MEMS devices, smart systems, electronic noses/tongues, and biomedical engineering. He teaches ES434 (ASICs, MEMS, and Smart Devices) and has authored 10 books, 500+ papers, and 20+ patents. Awards include the Royal Society Mullard Award and Fellowships from IET, IEEE, and the Royal Academy of Engineering. Education: B.Sc. (Hons) Physics, University of Birmingham Ph.D. Physical Electronics, University of Cambridge D.Sc. Electronic Engineering, University of Warwick Research Highlights: Electronic noses for healthcare and environmental monitoring CMOS-integrated gas sensors MEMS thermal flow sensors AI-driven sensor data analysis Awards: Royal Society Mullard Award (2018) IET & IEEE Fellowships Grants/Projects: Development of low-cost air quality monitoring systems Smart city IoT sensor networks Prostate cancer detection via lab-on-a-chip His labs include collaborations on particle sensing, thermal modulation techniques, and biomimetic systems. Ongoing work focuses on edge AI for real-time environmental sensing and wearable health monitoring devices.

• Radar Systems Engineering
• Biomedical Engineering
• Rehabilitation Engineering
• +۷ مورد دیگر

Dr. Graham Brooker is a Senior Lecturer at the University of Sydney's School of Aerospace, Mechanical and Mechatronic Engineering since 1999. He holds a PhD (2005) and degrees from the University of the Witwatersrand. Research Interests: Focuses on radar systems for autonomous navigation, rehabilitation engineering (dementia/Parkinson's), medical robotics (birth simulators), and millimeter-wave imaging. His work improves safety in mining/military environments and quality of life through assistive technologies. Recent Projects: Includes radar-acoustic interactions, entomological harmonic radar, dental robotics, cervical tissue modeling, and force analysis during childbirth. Active in developing low-cost radar solutions for road vehicles and microwave weed killing systems. Awards: Notable recognitions include 2010 AMME Teaching Award, 2012 Faculty Teaching Award, and top-tier conference paper prizes. Holds patents and has authored multiple textbooks like Introduction to Biomechatronics (2012) and Sensors for Ranging and Imaging (2022).

Saad Mubeenمشاهده پروفایل

استاد

• Embedded Systems
• Real-Time Communication
• Predictable Software Development
• +۵ مورد دیگر

Saad Mubeen is a Full Professor of Computer Science at Mälardalen University, Sweden, affiliated with the School of Innovation, Design and Engineering and the Division of Networked and Embedded Systems. He holds a Master's in Electrical Engineering (Embedded Systems) and a PhD in Computer Science and Engineering from Mälardalen University (2014), with a Docent title (2018) focused on vehicular embedded systems. His research emphasizes predictable embedded systems, timing analysis for real-time communication, and component-based software design. Key areas include model-driven development for automotive systems, integration of TSN/5G networks, and fault-tolerant industrial architectures. He has led projects on end-to-end timing analysis in distributed systems, ROS 2 verification, and cognitive edge-cloud scheduling. Publications span 2021–2025, focusing on real-time systems, network protocols (TSN, AVB, 5G), and industrial automation. Notable work includes frameworks for TSN configuration, fault diagnosis tools using NETCONF, and scheduling algorithms for heterogeneous edge-cloud environments. His contributions address critical challenges in timing predictability, security, and resource optimization for cyber-physical systems. Education contributions include problem-based learning modules for vehicular software engineering. He is actively involved in bridging academia and industry through collaborative research on next-generation automotive and industrial systems.

• Computer Networks
• Internet of Things (IoT)
• Network Architectures
• +۷ مورد دیگر

Rui Neto Marinheiro is an Associate Professor at the Department of Information Science and Technology, School of Technology and Architecture, Iscte - University Institute of Lisbon. He is also an Integrated Researcher at the Institute of Telecommunications - IUL, where he contributes to the Radio Systems Group. His academic leadership includes directing the Bachelor's Degree in Telecommunications and Computer Engineering and coordinating various institutional initiatives such as e-learning, audiovisual services, and international mobility programs. PhD in Electronics and Computer Science, University of Southampton (2001) Bachelor’s in Electrical and Computer Engineering, Faculty of Engineering, University of Porto (1995) His research focuses on advanced computer networking topics, including IoT communication architectures, software-defined networks, network security, mobility, and medium access control. His work bridges theoretical modeling with practical implementation in smart cities and distributed systems. He has led and participated in multiple national and international research projects funded by European and national agencies. The recent publications and projects reflect a strong trend in IoT-enabled smart environments, network resilience, and intelligent surveillance systems. His work integrates wireless technologies, data analytics, and autonomous systems, contributing to both academic knowledge and real-world applications in public safety, tourism, and telecommunications infrastructure. MoniCrowd – Adaptive system for crowding monitoring RESETTING – Digitalization of sustainable tourism ImpAr – Optical network impairment modeling SAAS – UAV surveillance via terrestrial networks LTE-Advanced Enhancements using Femtocells 3DVQM – 3D video quality monitoring E-NEXT – Networking technologies integration AGENTCITIES.RTD – Agent-based service networks Marinheiro actively supervises graduate students, with three doctoral theses and four master’s dissertations currently in progress, and has guided over twenty master’s students to completion. He has not received explicitly mentioned scientific awards in the provided text. His teaching responsibilities span network architecture, security, IoT, and digital communications across multiple undergraduate and institutional programs. He is affiliated with the Institute of Telecommunications - IUL (IT-Iscte), particularly within the Radio Systems Group, where he conducts research on wireless and optical networks. His academic management roles include laboratory coordination and promoting international student recruitment through Erasmus+.

Yang Linمشاهده پروفایل

استادیار

• Microfluidics
• Acoustofluidics
• Environmental Monitoring
• +۷ مورد دیگر

Yang Lin is an Assistant Professor at the University of Rhode Island , affiliated with the Department of Mechanical, Industrial & Systems Engineering . His research focuses on Microfluidics , Acoustofluidics , and Organ-on-a-Chip technologies, with applications in Environmental Monitoring , Food Safety , and Human Health . Education : Ph.D. in Mechanical Engineering (2019) and M.S. in Mechatronic Engineering (2015) from the University of Illinois at Chicago, and B.S. in Mechanical Design Manufacturing and Automation (2012) from Beijing Information Science and Technology University. Research Interests include: Acoustofluidics : Developing non-invasive, biocompatible fluid manipulation techniques using acoustic bubbles and membranes. AI-Enhanced Diagnostics : Leveraging convolutional neural networks for sample-to-answer diagnostic systems in public health. 3D Printed Microfluidics : Expanding additive manufacturing for low-cost, complex physiological structures in healthcare. Environmental Microfluidics : Detecting microplastics and contaminants in water and food systems. Publications highlight advancements in 3D printed microneedles , machine learning for nanoplastic detection , and magnetofluidic biosensors . Lab Members include current Ph.D. students and alumni who have completed M.S. and B.S. degrees under his mentorship.

• 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