Lin Zhang
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
Also affiliated: Tongji University (2019–2025); City College of New York (2018); Beijing Institute of Technology (2023–2025); Southwest University (2024); Anhui University (2007); Xi'an University of Architecture and Technology (2024); Shenyang University of Technology (2025); Southwestern University of Finance and Economics (2025); Harbin Institute of Technology (2019); Purdue University West Lafayette (2017–2019); China University of Mining and Technology (2025); Dalian University of Technology (2020); Nanjing University of Science and Technology (2009); Anhui Sanlian University (2015); Dalian University (2020); Xi'an Honghui Hospital (2015); Shanghai Electric (China) (2025); Anhui Institute of Architectural Research and Design (2007); Shanghai Tongji Urban Planning and Design Institute (2025); Beijing Vaccum Electronic Research Institute (2017); Conway School of Landscape Design (2021–2023); Geely (China) (2025); University of Cincinnati (2020); Sichuan University of Science and Engineering (2020); Southeast University (2024); Shenyang Jianzhu University (2014–2023); Xi'an Jiaotong University (2015–2021); Ministry of Industry and Information Technology (2023); Northeastern University (2022)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Lin Zhang's research focuses on the application of advanced optical techniques and machine learning for sensitive detection and analysis. Her work includes developing surface plasmon resonance (SPR) biosensors, notably employing laser heterodyne feedback for enhanced sensitivity and speed in detecting biological and chemical targets. Publications detail SPR biosensors for COVID-19 spike antigen detection and fluoroquinolone detection, demonstrating applications in medical diagnostics and environmental monitoring.
Further research extends to optical phased arrays for beam forming and steering, and integrated optical amplifiers for long-haul data transmission, highlighting contributions to photonics and telecommunications. Additionally, Zhang investigates mid-to-long chain dicarboxylic acid production through systems metabolic engineering and explores machine learning applications, including dynamic obstacle avoidance for robotic systems using sim-to-real reinforcement learning. Her scholarship includes 51 publications and an h-index of 12, with 558 total citations.
Metrics
- h-index: 12
- Publications: 51
- Citations: 575
Selected Publications
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Enabling Service Robots to Open Self-Closing Doors using Deep RL and Generative Models (2025)
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Safe Reinforcement Learning-Based Motion Planning for Functional Mobile Robots Suffering Uncontrollable Mobile Robots (2023)
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Shadow removal of spacecraft images with multi-illumination angles image fusion (2023)
Collaboration Network
Top Collaborators
- Force-Vision Sensor Fusion Improves Learning-Based Approach for Self-Closing Door Pulling
- Enabling Service Robots to Open Self-Closing Doors using Deep RL and Generative Models
- Force-Vision Sensor Fusion Improves Learning-Based Approach for Self-Closing Door Pulling
- Enabling Service Robots to Open Self-Closing Doors using Deep RL and Generative Models
- Dynamic Obstacle Avoidance for Cable-Driven Parallel Robots With Mobile Bases via Sim-to-Real Reinforcement Learning
- Safe Reinforcement Learning-Based Motion Planning for Functional Mobile Robots Suffering Uncontrollable Mobile Robots
- Dynamic Obstacle Avoidance for Cable-Driven Parallel Robots With Mobile Bases via Sim-to-Real Reinforcement Learning
- Safe Reinforcement Learning-Based Motion Planning for Functional Mobile Robots Suffering Uncontrollable Mobile Robots
- Dynamic Obstacle Avoidance for Cable-Driven Parallel Robots With Mobile Bases via Sim-to-Real Reinforcement Learning
- Dynamic Obstacle Avoidance for Cable-Driven Parallel Robots With Mobile Bases via Sim-to-Real Reinforcement Learning
- Dynamic Obstacle Avoidance for Cable-Driven Parallel Robots With Mobile Bases via Sim-to-Real Reinforcement Learning
- Shadow removal of spacecraft images with multi-illumination angles image fusion
- Shadow removal of spacecraft images with multi-illumination angles image fusion
- Safe Reinforcement Learning-Based Motion Planning for Functional Mobile Robots Suffering Uncontrollable Mobile Robots
- Safe Reinforcement Learning-Based Motion Planning for Functional Mobile Robots Suffering Uncontrollable Mobile Robots
- Safe Reinforcement Learning-Based Motion Planning for Functional Mobile Robots Suffering Uncontrollable Mobile Robots
- Safe Reinforcement Learning-Based Motion Planning for Functional Mobile Robots Suffering Uncontrollable Mobile Robots
- Safe Reinforcement Learning-Based Motion Planning for Functional Mobile Robots Suffering Uncontrollable Mobile Robots
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