جستجوی استاد راهنمای دانشگاهی

Manolya Kavakli-Thorneمشاهده پروفایل

دانشیار

• Virtual Reality
• Human-Computer Interaction
• Augmented Reality
• +۴ مورد دیگر

Dr. Manolya Kavakli-Thorne serves as Associate Professor and Honorary Professor at Macquarie University's School of Computing, specializing in advanced human-computer interaction systems. Her research bridges virtual reality, augmented reality, and gaming technologies with practical applications across diverse domains including healthcare, film production, and transportation safety. Her primary research interests focus on: Virtual reality systems design and implementation Human-computer interaction paradigms Augmented reality applications in real-world contexts Computer game mechanics and serious gaming Gesture recognition systems for 3D modeling Generative adversarial networks for image synthesis Analysis of her recent publications reveals a strong trajectory toward practical implementations of immersive technologies. Her work demonstrates increasing focus on real-world applications of virtual production systems in filmmaking, gamification for behavioral change, and medical applications of VR/AR technologies. The interdisciplinary nature of her research connects computer science with psychology, engineering, and creative industries. Dr. Kavakli-Thorne has secured significant research funding through 15 projects including the Centre for Elite Performance Expertise and Training (CEPET), Virtual-Reality intervention platforms for Cerebral Palsy patients, and Mobile Augmented Reality Systems (MARS) Design. Her collaborative approach is evident in projects spanning lifeguard performance enhancement and virtual reality dome systems development. Her laboratory work centers around immersive simulation environments, virtual production studios, and mobile augmented reality systems. Current research directions include refining generative AI applications in medical imaging, developing more intuitive multi-modal interfaces for 3D modeling, and expanding the use of serious games for safety-critical training scenarios.

Leslie Kaelblingمشاهده پروفایل

استاد

• Robotics
• Machine Learning
• Artificial Intelligence
• +۲ مورد دیگر

Leslie Kaelbling serves as the Panasonic Professor in MIT's Department of Electrical Engineering and Computer Science (EECS) and Director of Research for the MIT Quest for Intelligence, while also holding an investigator position at the Computer Science and Artificial Intelligence Laboratory (CSAIL). Her academic background includes a BA in philosophy and PhD in computer science, both earned at Stanford University. Professor Kaelbling's research centers on building intelligent robots capable of operating in uncertain environments through advanced learning, state estimation, and planning techniques. Her work bridges theoretical AI foundations with practical robotics applications, focusing on creating systems that adapt to complex real-world scenarios through probabilistic reasoning and decision-making under uncertainty. Analysis of her recent publications reveals a strong trajectory toward integrating foundation models with robotic planning systems, particularly leveraging vision-language models for constraint inference and diffusion models for task-motion planning. Her research increasingly emphasizes uncertainty quantification, neuro-symbolic representations, and sample-efficient learning methods for long-horizon manipulation tasks. Key scientific recognitions include: Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) Founder and inaugural Editor-in-Chief of the Journal of Machine Learning Research As Director of Research for the MIT Quest for Intelligence, she leads strategic initiatives advancing human and machine intelligence research, fostering cross-laboratory collaborations between CSAIL, neuroscience, and cognitive science groups to develop next-generation AI systems. Her leadership extends to shaping research directions in embodied intelligence and foundational learning algorithms.

Sim Chia Huaمشاهده پروفایل

مدرس

• Corporate Reporting
• Corporate Governance
• Accountability
• +۲ مورد دیگر

Dr. Sim Chia Hua serves as Associate Dean (Academic Practice) and Lecturer in Business at Swinburne University of Technology Sarawak Campus within the Faculty of Business, Design and Arts. With over 10 years of academic experience, she specializes in bridging corporate governance research with innovative educational practices. Her educational credentials include: PhD in Accounting MBA Bachelor of Accounting (Honours) Dr. Sim's research spans two interconnected domains: corporate governance reporting in emerging markets and educational methodology in business education. Her governance work examines how disclosure quality impacts firm valuation in Malaysia, while her educational research pioneers digital badge systems, problem-based learning, and post-pandemic assessment strategies. Recent publications (2022-2024) reveal increasing interdisciplinary focus, merging sustainability education with business curriculum development and analyzing geopolitical impacts on financial systems. Her 2023 research grants demonstrate active funding: Principal Investigator: Research Micro Fund project on peer tutoring efficacy Co-Investigator: Design Thinking program assessment for business students Co-Investigator: Real-time feedback systems for economics/accounting units As Associate Dean, Dr. Sim leads faculty development initiatives, new staff enculturation, and digital learning integration. She collaborates closely with Melbourne-based counterparts and Swinburne's Digital Learning Technologies unit to implement educational innovations across the Sarawak campus, emphasizing immediate application of pedagogical research in business education contexts.

• Robotics
• Computer Vision
• Machine Learning
• +۵ مورد دیگر

Zhang Fangyi is a research fellow at Queensland University of Technology's School of Electrical Engineering and Robotics, specializing in robotics, computer vision, and machine learning. With a PhD completed in 2018 titled 'Learning real-world visuo-motor policies from simulation,' Zhang has established a strong research trajectory focusing on bridging the gap between simulation and real-world robotics applications. Zhang's research interests center around robotic perception and manipulation, with particular expertise in sim-to-real transfer techniques, tactile sensing systems, and graph neural networks. Their work spans multiple domains including robotic grasping, fabric manipulation, face clustering algorithms, and graphene-based sensor development. A consistent theme throughout Zhang's research is the development of robust systems that can effectively transition from simulated environments to real-world applications. The publication record shows a clear evolution from foundational work in sim-to-real transfer (2015-2019) toward more specialized applications in tactile sensing and material science (2021-2024). Recent work demonstrates expanding interests into graphene-based sensor technology while maintaining core expertise in robotic perception. Zhang frequently collaborates with leading researchers at QUT including Peter Corke, with whom they've published multiple papers on robotic grasping and tactile sensing. Zhang's research has practical applications across multiple domains including assistive robotics, sensor development, and computer vision systems. Their work on laser-induced graphene sensors shows particular promise for next-generation tactile interfaces and wearable technology.

Kwon Kyung-haمشاهده پروفایل

استاد

• Wearable Medical Devices
• Energy Harvesting
• Optical Sensors
• +۳ مورد دیگر

Professor Kwon Kyung-ha is a faculty member in the Department of Electrical Engineering at Korea Advanced Institute of Science and Technology (KAIST), where he leads cutting-edge research in wearable medical technology and energy-efficient sensor systems. His research focuses on developing innovative solutions for continuous health monitoring through wearable devices. Professor Kwon specializes in energy harvesting technologies that utilize ambient light to power medical sensors, enabling 24/7 health monitoring without bulky batteries. His work integrates photometric methods, photovoltaic systems, and photoluminescent technologies to create adaptive power management solutions for medical wearables. Professor Kwon's recent publication in Nature Communications demonstrates significant advancements in reducing power consumption by 86.22% through ambient light utilization. His research spans multiple subfields including photoplethysmography for cardiovascular monitoring, blue-light dosimetry for skin protection, and microfluidic sweat analysis for detecting dehydration and electrolyte imbalances. His scientific achievements have been recognized through multiple prestigious research grants and awards: National Research Foundation of Korea's Excellent Young Researcher Project Regional Innovation Leading Research Center Project Ministry of Science and ICT's IITP Artificial Intelligence Semiconductor Graduate School Project BK FOUR Program (Connected AI Education & Research Program for Industry and Society Innovation) Professor Kwon actively mentors graduate students including Sim Young-min (integrated master's and doctoral program) and Park Do-yoon (doctoral program), and collaborates internationally with researchers such as Dr. Park Chan-ho at Northwestern University. His research team has developed an adaptive wireless wearable platform that integrates three complementary light energy technologies to enable continuous health monitoring. His laboratory focuses on developing practical applications of energy harvesting technology for medical devices, with emphasis on real-world implementation through flexible printed circuit boards that can be attached directly to skin. The team's work aims to shift the medical paradigm from treatment-centered to prevention-centered healthcare through continuous monitoring capabilities.