جستجوی استاد راهنمای دانشگاهی

Zhijing Liaoمشاهده پروفایل

پژوهشگر ارشد

• Control Systems
• Renewable Energy
• Wave Energy Conversion
• +۳ مورد دیگر

Dr. Zhijing Liao is a Research Fellow at The University of Manchester, specializing in control systems and renewable energy. His research focuses on optimal control theory, model predictive control, and wave prediction techniques applied to offshore renewable energy systems. He has contributed to significant projects such as the Wave Energy Scotland Control Systems Project and the EPSRC-funded System-level Co-design Project for Wave Energy Converters. He holds a Doctor of Engineering from Queen Mary University of London (2017–2021), a Bachelor of Engineering from Politecnico Di Torino (2016–2017), and another Bachelor of Engineering from Beijing Institute Of Technology (2013–2017). His expertise spans control theory, wave energy systems, and offshore engineering. Research interests include advancing control strategies for wave energy converters (WECs), hybrid offshore platforms integrating wind and wave energy, and optimizing energy capture through predictive and nonlinear control methods. His work addresses challenges in real-time control, multi-mode motion systems, and multi-float configurations to enhance energy efficiency and system robustness. Recent work emphasizes sea-state-dependent control strategies, hardware-in-the-loop testing, and model predictive control frameworks tailored for nonlinear dynamics. Collaborations focus on validating control models through wave basin and tank testing, with applications to large-scale WEC demonstrators like the M4 system. Liao’s contributions aim to advance sustainable energy solutions aligned with UN Sustainable Development Goals, particularly in renewable energy deployment and climate action.

Daniel Websterمشاهده پروفایل

مدرس ارشد

• 3D Modeling
• Games Design
• Animation
• +۴ مورد دیگر

Daniel Webster is a Senior Lecturer in Games and Visual Effects at Staffordshire University's School of Digital, Tech, Innovation & Business. With a background spanning the games industry and academia, he specializes in 3D art, animation, and game design pipelines. His expertise includes 3D sculpting, character modeling, environment design, and Unreal Engine 4 implementation. Education: MSc (Hons) 3D Computer Games Design, Staffordshire University Postgraduate Certificate in Higher and Professional Education, Staffordshire University BSc (Hons) Computer Games Design, Staffordshire University Research & Teaching Focus: Daniel teaches modules like 'Advanced Vehicles and Weapons Prototyping' and 'Realtime Character Art and Production,' emphasizing 3D modeling pipelines, motion capture integration, and physially based rendering. His work bridges academic theory with industry practices, including collaborations on indie and AAA game titles. He holds a Fellowship of the Higher Education Academy (FHEA) and has contributed to Staffordshire University's recognition for research impact ('Outstanding/Very Considerable' per The Times 2023) and teaching quality. Though no personal awards are listed, his institution has received accolades for facilities and social inclusion (Whatuni 2023). Additional Roles: Daniel combines teaching with freelance 3D artistry and event management for games development, leveraging international experiences from China and Africa to inform his pedagogy.

Camilo Perez Quinteroمشاهده پروفایل

پژوهشگر ارشد

• Human-Robot Interaction
• Augmented Reality
• Virtual Reality
• +۳ مورد دیگر

Camilo Perez Quintero is a Research Fellow at the University of British Columbia's CARIS laboratory, specializing in Human-Robot Interaction systems. His current work includes developing augmented reality multimodal interfaces for aerospace manufacturing in collaboration with the German DLR and creating sidewalk navigation solutions for delivery robots through a Mitacs industry partnership. Education: Ph.D. in Computing Science, University of Alberta, Canada (2017) His research centers on communication mechanisms for human-robot collaboration, with expertise in augmented reality interfaces, haptic feedback systems, and gesture-based control. He excels at translating theoretical concepts into functional prototypes through multidisciplinary teamwork, focusing on mission-critical applications in manufacturing and urban environments where safety and intuitive interaction are paramount. Analysis of his 15 most recent publications (2017-2022) reveals consistent innovation in robot trajectory programming through multimodal interfaces, with significant contributions to safe human-robot collaboration in manufacturing via virtual barriers and pedestrian-aware navigation for sidewalk robots. His work bridges computer vision, robotics, and human-centered design, demonstrating particular strength in integrating tactile feedback with AR/VR systems for industrial applications. Grants and Programs: Mitacs Accelerate program developing HRI systems for sidewalk mobile robots with industrial partner German DLR collaboration on aerospace manufacturing interfaces He operates within UBC's CARIS laboratory, collaborating with mechanical engineering researchers and international partners to advance practical robotics solutions for real-world deployment in constrained environments.

• Computer Animation
• Visual Effects
• Procedural Systems
• +۳ مورد دیگر

Dr Anthony Bukowski is a Senior Lecturer and Programme Leader for the BSc Computer Animation & Visual Effects at Manchester Metropolitan University's Computing and Mathematics Department. He specializes in FX rendering, procedural systems, and VFX integration, with industry collaborations through Knowledge Transfer Partnerships (KTP). His academic roles include external examining at Leeds Beckett University and Nord University. Education: PhD, BSc, Fellow of the Higher Education Academy (FHEA) Notable Achievements: Multiple teaching award nominations, 'Outstanding' KTP completions (2013, 2018) Research interests focus on dynamic systems in VFX and applied technologies for creative industries. He leads undergraduate programs producing graduates for top studios like Framestore and DNEG. Current supervision includes a doctoral project on predictive models for elderly mobility impairments. Awards: Highlighted teaching excellence and industry-linked research impact

John Darbyمشاهده پروفایل

مدرس ارشد

• Computer Vision
• Machine Learning
• Human Movement Analysis
• +۵ مورد دیگر

Dr. John Darby is a Senior Lecturer in the Department of Computing, Mathematics and Digital Technology at Manchester Metropolitan University (MMU). He serves as the programme leader for the MSc Computer Science and teaches AI and machine learning modules. His research focuses on non-invasive Computer Vision techniques for analyzing human movements, spanning from skeletal muscle analysis to behavior classification and human-object interactions. He holds a PhD from MMU and has industry experience as a Software Engineer at Echostar Europe. Education: BSc Hons. in Computational Physics (University of Edinburgh, 2000–2003), MSc in Mobile and Distributed Computer Networks (Leeds Metropolitan University, 2003–2004), and a PhD from MMU (2006–2010). Postdoctoral roles included Research Assistant at IRM (2010–2011) and Research Associate at SCMDT (2011–2013). Research Interests: His work integrates Machine Learning, Image Processing, and Particle Filtering to address challenges in surveillance, biomechanics, and healthcare. Key applications include markerless motion tracking, implement recognition, and clinical decision support systems. He collaborates with the Image and Sensory Computation Group on interdisciplinary projects. Advising & Grants: While specific student names or grant details are not listed, his role as a Senior Lecturer and programme leader implies involvement in supervising postgraduate students and securing research funding. His projects often involve clinician-led approaches and industry partnerships. Labs/Teams: Active contributor to the Image and Sensory Computation Group, focusing on human movement analysis and healthcare technology applications.

• Biomechanics
• Sports Science
• Exercise Science
• +۳ مورد دیگر

Tom Outram is a Senior Lecturer in Sport, Outdoor and Exercise Science at the College of Science and Engineering. His research focuses on biomechanical interventions for mental health conditions, gait dynamics, cognitive-motor interactions, and sports performance optimization. He has co-authored studies on depression treatment through biomechanics, elite climber kinematics, and surgical outcomes in foot disorders. His work bridges clinical applications with sports science, particularly in understanding how physical movement impacts mental health and athletic performance. Outram's research outputs include contributions to conferences like the Royal College of Psychiatrists International Congress and the International Society of Biomechanics. He collaborates extensively with experts in psychiatry, sports engineering, and orthopedics. His recent studies investigate the feasibility of IMU sensors for motion capture and the biomechanical effects of surgical interventions on foot function. While no formal awards are listed, his active research profile spans multiple high-impact journals and conferences. His advising and grant activities are not explicitly detailed in the provided text, though his collaborative projects suggest involvement in interdisciplinary research teams. He is associated with labs focused on clinical biomechanics and sports performance analysis, contributing to both theoretical and applied aspects of human movement science.

Michael Uelschenمشاهده پروفایل

استاد

• Software Engineering
• Embedded Systems
• Multicore/Manycore Computing
• +۵ مورد دیگر

Prof. Dr.-Ing. Michael Uelschen is a Professor of Software Engineering for Technical Systems at Osnabrück University of Applied Sciences, part of the Faculty of Engineering and Computer Science. He holds a PhD in Mechanical Engineering and has over a decade of industry experience in automotive software development. His research focuses on energy-efficient embedded systems, model-driven software engineering, multicore systems, and medical technology applications such as motion analysis for rehabilitation. He teaches courses in software engineering, embedded systems, and parallel algorithms at both bachelor's and master's levels. Research Interests : Software Engineering for Automotive Embedded Systems, Power Optimization, Energy-Aware Design Patterns, Medical Motion Analysis (gait stability), IoT Sustainability, and Process Improvement (CMMI). His work often bridges theoretical models with practical implementation in real-time systems. Key Projects : Developed a contactless monitoring system for elderly/patient care using commodity electronics, supported by Bayer Healthcare Grants4Apps. Also contributed to frameworks for energy-efficient embedded systems design patterns and algorithms for kinematic analysis in clinical settings. Teaching : Leads courses like 'Software Engineering for Parallel Systems', 'Embedded Systems', and 'Object-Oriented Design'. Supervises student projects and theses in automotive and medical software domains.

• Nuclear Physics
• Particle Physics
• Radiation Detection Technology
• +۳ مورد دیگر

Dr. David O'Donnell is a Senior Lecturer in the Nuclear Physics Group at the University of Strathclyde, affiliated with the School of Computing, Engineering and Physical Sciences. His research focuses on probing the structure of exotic nuclei using gamma-ray and charged particle spectroscopy, with a particular emphasis on octupole correlations in actinide nuclei and pear-shaped nuclei studies. He contributed to the design of the STFC-funded Light Ion Spectrometer Array and is actively involved in the Scottish Centre for the Application of Plasma-based Accelerators (SCAPA), providing nuclear physics expertise in interdisciplinary projects. Research interests include developing scintillation-based radiation detectors for medical tumor margin detection and space gamma-ray burst monitoring. He also conducts Monte Carlo simulations for radiation interaction modeling. Recent work involves collaborations on the West of Scotland PET Centre for fluorine-18 radioactivity studies and the HIE-ISOLDE superconducting recoil separator. Key projects include CP violation searches via Mössbauer spectroscopy of Ac-227 and Coulomb excitation studies of radium isotopes. His work spans experimental nuclear physics, detector technology, and applications in medicine and space science.

• Theatre
• Acting
• Voice Acting
• +۲ مورد دیگر

Jane Perry is a Screen & Audio Tutor at Guildhall School of Music and Drama, with a distinguished career bridging classical theatre, film, and video game performance. She has performed extensively in the UK and Canada, including 5 years at the Shaw Festival in Ontario, and contributed to iconic media projects like The X-Files and the Hitman video game franchise. Specializations: Shakespearean theatre, modern drama, motion capture acting, voiceover for interactive media Jane integrates her industry expertise into teaching, focusing on stage, screen, and voiceover techniques. Her work with major studios and directors, combined with ongoing creative contributions to gaming and film, positions her as a bridge between academic training and contemporary performance practices.

Chris Childمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Game Development
• Reinforcement Learning
• +۳ مورد دیگر

Dr. Chris Child is a Senior Lecturer in the Department of Computer Science at City, University of London, and currently serves as the Associate Dean for Employability and Engagement since 2020. He leads initiatives such as virtual internships, client-based projects, and the Last Mile training program in collaboration with Accenture. As a researcher, he focuses on AI-driven game agents, employing techniques like reinforcement learning and approximate dynamic programming. Additionally, he founded Childish Things Ltd., a computer game company, and pioneered City’s first Data Science apprenticeship program. His academic journey includes a PhD in Approximate Dynamic Programming from City, University of London (2011), alongside leadership in game development and industry-academia partnerships. His educational background encompasses a BSc in Computer Science and Software Engineering (University of Birmingham, 1993), MSc in Cognitive Science (University of Birmingham, 1994), and a PGDip in Academic Practice (City, University of London, 2004). Professional memberships include the British Computing Society and IEEE. Research interests center on intelligent agents for games, robotics, and healthcare applications. Notable projects include the Cricket Captain game series, virtual laparoscopic training tools, and emotion-based reward systems for AI agents. His work bridges academic research with industry, emphasizing practical applications of AI in gaming and education. Advising and grants are not explicitly detailed, but his role in apprenticeship development highlights his commitment to student employability. His company Childish Things Ltd. exemplifies full-stack game development expertise, from design to marketing. Future research aims to integrate agent research into commercial games and improve software engineering practices in gaming.

Celine Dearingمشاهده پروفایل

مدرس

• Motion Capture Technology
• Digital Illustration
• Game Design
• +۳ مورد دیگر

Celine Dearing is a Teaching Fellow in Digital Cultures at the University of Plymouth's School of Art, Design and Architecture. She specializes in motion capture post-production with industry experience in AAA games and international film productions. Her creative research encompasses both traditional and digital children's illustration techniques, textile illustration using embroidery and fabric collage, and immersive world/character design for interactive media. She integrates professional industry practices into pedagogical approaches for game design education.

Nimsiri Abhayasingheمشاهده پروفایل

مدرس ارشد

• Inertial Measurement Unit (IMU) Applications
• Human Gait Modeling and Analysis
• Sensor Data Processing
• +۳ مورد دیگر

Nimsiri Abhayasinghe is a Senior Lecturer at Curtin University's School of Electrical Engineering, Computer and Mathematical Sciences. Their work focuses on inertial measurement units (IMUs), human gait modeling, and sensor-based systems for navigation, robotics, and biomedical applications. They are affiliated with the Faculty of Science and Engineering and contribute to the Office of the Provost's initiatives. Research interests include IMU calibration techniques, wearable sensor algorithms, and IoT-enabled assistive technologies. Notable contributions involve developing cost-effective IMU systems for navigation research, validating thigh angle estimation accuracy using optical motion capture, and creating gesture recognition systems for sign language. Publications span topics like human gait phase recognition, RPM detection using ignition pulses, and solar microgrid designs. Their work bridges mechanical engineering, computer science, and biomedical applications, emphasizing practical sensor integration and algorithmic innovation. No scientific awards are listed, but their research demonstrates expertise in sensor data analysis and interdisciplinary engineering solutions. Advising and grant details are not explicitly provided in the profile. They are based at Curtin Perth's New Technologies Building, Room 329.

Rami Hallacمشاهده پروفایل

دانشیار

• 3D Imaging
• Pediatric Surgery
• Machine Learning in Medicine
• +۳ مورد دیگر

Dr. Rami Hallac is an Associate Professor at the University of Texas Southwestern Medical Center and an imaging scientist at Children's Medical Center. His work focuses on integrating 3D imaging, modeling, and printing to enhance pediatric surgical outcomes, particularly in craniofacial deformities and surgical planning. He specializes in developing machine learning algorithms for diagnostic precision and minimizing radiation exposure during craniofacial assessments. His research interests include 3D craniofacial analysis , Cleft Lip and Palate correction , and AI-driven surgical planning . He has pioneered techniques like liquid latex molding for flap design and eye-tracking for deformity assessment thresholds. Dr. Hallac has published extensively on topics including pediatric surgery outcomes, 3D printing applications, and tumor imaging biomarkers. His work bridges clinical innovation with advanced imaging technologies, emphasizing patient-specific solutions and safety. Notable contributions include a 5-year study on craniofacial 3D printing and breakthroughs in non-radiographic pectus excavatum measurement. He collaborates with multidisciplinary teams to advance surgical precision and patient care.

Bart Staalمشاهده پروفایل

استاد

• Musculoskeletal disorders
• Physiotherapy effectiveness
• Patient-provider communication
• +۵ مورد دیگر

Bart Staal is a Professor and Lector at the HAN University of Applied Sciences, leading the Lectorate of Effective Factors in Movement Care. His research focuses on improving musculoskeletal care through practice-oriented studies examining diagnostic and treatment effectiveness. Key areas of expertise include physiotherapy mechanisms, patient-provider communication, and innovative rehabilitation techniques using virtual reality (VR). He holds editorial roles at BMC Musculoskeletal Disorders and the International Journal of Environmental Research and Public Health. Current projects include VR applications for shoulder and low back pain rehabilitation (VRISseR and VARIETY studies), personalized prehabilitation protocols for surgical patients, and interdisciplinary collaboration models in healthcare delivery. His work emphasizes data-driven approaches using motion sensors and machine learning to tailor treatments. Staal also investigates vocational interventions for workers with inflammatory arthritis to enhance workplace participation. Editorial roles: Senior Editor at BMC Musculoskeletal Disorders Committee memberships: ZonMw Sports and Exercise Committee Key initiatives: VR in rehabilitation, stratified care models, work-focused physiotherapy Publications span over 15 years, covering topics such as spinal surgery outcomes, ACL rehabilitation, and health literacy challenges in physiotherapy. His research bridges clinical practice with technological innovation, aiming to optimize care efficiency and patient outcomes.

• Machine Learning
• Neural Networks
• Computer Vision
• +۳ مورد دیگر

Michael Adjeisah is a Research Fellow at Bournemouth University's CfACTs Research Centre, focused on interdisciplinary research in machine learning and artificial intelligence. His work spans computer vision, natural language processing, health informatics, and data science, with applications in cultural heritage technology, low-resource language processing, and medical systems. Notable research areas include Adinkra symbol recognition using deep learning, graph neural networks for classification tasks, and sentiment analysis models leveraging attention mechanisms. He has contributed to advancements in neural machine translation for low-resource languages and blockchain-enabled privacy solutions for electronic health records. Adjeisah's publications reflect a strong emphasis on practical applications of AI, with recent work addressing challenges in spoken digit recognition for Amharic and respiration-based biometric systems. His research often integrates multi-sensor fusion and data augmentation techniques to enhance model performance in real-world scenarios.