People

Dr Jinya Su

Honorary Senior Lecturer
School of Computer Science and Electronic Engineering (CSEE)
Dr Jinya Su

Profile

Biography

Dr Jinya Su left University of Essex in 2022 and currently holds an Honorary Senior Lecturer. He has published 50+ journal papers in Intelligent Autonomous Systems and their industrial applications. He has received the Outstanding Early Career Researcher Award from UoE (2020). ------------------------------------------------------------ He has led (as a PI/CoI) or participated a number of projects worth £4+ Million: Major projects at Essex: 4. Four PhD studentships including BBSRC Studentship (2021), TWI studentship (2021), Cross-faculty studentship (2020), Departmental studentship (Opportunitiy 2, 2022). But most end without beginning. 3. Oct/2021-Oct/2023: UAV remote sensing for rail trackside vegetation management, (Knowledge Transfer Partnerships) KTP project with Railscape, £188,629, Academic Supervisor. 2. Apr/2021-Apr/2022: FollowPV-Developing autonomous unmanned aerial vehicles with spatial awareness for improved image quality from solar farm inspections, Innovate UK: Robotics for a more resilient future R&D strand, £354.81K, Essex PI, in collaboration with Above Surveying Ltd (Lead) and Loughborough University. 1. Mar/2020--Mar/2022: Space-enabled crop disease management service via crop spraying drones (SCENE-CAD), Essex PI, Science & Technology Facilities Council (STFC)-Newton Fund, £500K.

Research and professional activities

Current research

Space-enabled Crop disEase maNagement sErvice via Crop sprAying Drones (SCENE-CAD)

STFC research grant (CoI) at £ 500K FEC
More information about this project

Using climatic and imaging data to predict apple fruit ripeness

This is a full PhD studentship via Collaborative Training Partnership for Fruit Crop Research (CTP FCR) funded by Biotechnology and Biological Sciences Research Council (BBSRC) and Industry (UK leading fruit industry organisations).
More information about this project

FollowPV-Developing autonomous unmanned aerial vehicles with spatial awareness for improved image quality from solar farm inspections

Robotics for a more resilient future R&D strand, Innovate UK project with Above Surveying, Ltd.

Publications

Journal articles (56)

Fu, W., Wang, B., Su, J., Cheng, Z., Liu, L. and Wang, Y., (2024). Three-Dimensional Ascent Guidance Method for Two-Stage Solid Rocket Launch Vehicles under Multiple Constraints and Uncertainties. Journal of Aerospace Engineering. 37 (1)

Li, T., Zhao, Z., Ding, S. and Su, J., (2024). Composite Controller Design for Quadrotor UAVs With Uncertainties and Noises Based on Combined Kalman Filter and GPIO. IEEE Transactions on Aerospace and Electronic Systems. 60 (1), 882-892

Li, J., Zhang, L., Li, S. and Su, J., (2024). A Time Delay Estimation Interpretation of Extended State Observer-Based Controller With Application to Structural Vibration Suppression. IEEE Transactions on Automation Science and Engineering. 21 (2), 1965-1973

YU, Z., ZHENG, X., YANG, JUN. and SU, J., (2024). Improved YOLOX-DeepSORT for Multitarget Detection and Tracking of Automated Port RTG. IEEE Open Journal of the Industrial Electronics Society. 5, 317-325

Wang, S., Li, S., Su, J., Li, J. and Zhang, L., (2023). Extended State Observer based Nonsingular Terminal Sliding Mode Controller for a DC-DC Buck Converter with Disturbances: Theoretical analysis and experimental verification. International Journal of Control. 96 (7), 1661-1671

Liao, L., Hu, Z., Hsu, C-Y. and Su, J., (2023). Fourier Graph Convolution Network for Time Series Prediction. Mathematics. 11 (7), 1649-1649

Liao, L., Luo, L., Su, J., Xiao, Z., Zou, F. and Lin, Y., (2023). Eagle-YOLO: An Eagle-Inspired YOLO for Object Detection in Unmanned Aerial Vehicles Scenarios. Mathematics. 11 (9), 2093-2093

Li, J., Zhang, L., Zhang, M., Li, S., Su, J. and Luo, L., (2023). Multi-modal vibration control for all-clamped plate subjected to periodic disturbances by ESO-based frequency-shaped LQR. Mechanical Systems and Signal Processing. 201, 110658-110658

Ma, J., Shen, H., Cai, Y., Zhang, T., Su, J., Chen, W-H. and Li, J., (2023). UCTNet with Dual-Flow Architecture: Snow Coverage Mapping with Sentinel-2 Satellite Imagery. Remote Sensing. 15 (17), 4213-4213

Feng, J., Su, J. and Feng, X., (2023). A Residual Multihead Self-Attention Network Using Multimodal Shallow Feature Fusion for Motor Fault Diagnosis. IEEE Sensors Journal. 23 (23), 29131-29142

Su, J., Yi, D., Coombes, M., Liu, C., Zhai, X., McDonald-Maier, K. and Chen, W-H., (2022). Spectral Analysis and Mapping of Blackgrass Weed by Leveraging Machine Learning and UAV Multispectral Imagery. Computers and Electronics in Agriculture. 192, 106621-106621

Yi, D., Fang, H., Hua, Y., Su, J., Han, J. and Quddus, M., (2022). Improving Synthetic to Realistic Semantic Segmentation with Parallel Generative Ensembles for Autonomous Urban Driving. IEEE Transactions on Cognitive and Developmental Systems. 14 (4), 1496-1506

Su, J., Wang, Y., Zhai, X., Meng, F. and liu, C., (2022). Snow Coverage Mapping by Learning from Sentinel-2 Satellite Multispectral Images via Machine Learning Algorithms. Remote Sensing. 14 (3), 782-782

Liao, L., Wang, Y., Zou, F., Bi, S., Su, J. and Sun, Q., (2022). A Multi-Sensory Stimulating Attention Model for Cities’ Taxi Service Demand Prediction. Scientific Reports. 12 (1), 3065-

Meng, Y., Zhong, W., Liu, C., Su, J., Su, J., Lan, Y., Wang, Z. and Wang, M., (2022). UAV spraying on citrus crop: impact of tank-mix adjuvant on the contact angle and droplet distribution. PeerJ. 10, e13064-e13064

Li, S., Zhang, L., Zhu, C., Su, J. and Li, J., (2022). Nonlinear ESO-based vibration control for an all-clamped piezoelectric plate with disturbances and time delay: design and hardware implementation. Journal of Intelligent Material Systems and Structures. 33 (18), 2321-2335

Hu, H., Su, J. and Ma, J., (2022). Editorial: Smart Hospital Innovation: Technology, Service, and Policy. Frontiers in Public Health. 10, 845577-

Su, J., Yi, D., Liu, C., Mi, Z., Su, B., Hu, X., Xu, X., Guo, L. and Chen, W-H., (2021). Aerial Visual Perception in Smart Farming: Field Study of Wheat Yellow Rust Monitoring. IEEE Transactions on Industrial Informatics. 17 (3), 2242-2249

He, X., Zhao, Z., Su, J., Yang, Q. and Zhu, D., (2021). Adaptive inverse control of a vibrating coupled vessel-riser system with input backlash. IEEE Transactions on Systems Man and Cybernetics: Systems. 51 (8), 4706-4715

Niño de Zepeda, MV., Meng, F., Su, J., Zeng, X-J. and Wang, Q., (2021). Dynamic Clustering Analysis for Driving Styles Identification. Engineering Applications of Artificial Intelligence. 97, 104096-104096

Zhang, T., Su, J., Xu, Z., Luo, Y. and Li, J., (2021). Sentinel-2 satellite imagery for urban land cover classification by optimized random forest classifier. Applied Sciences. 11 (2), 543-543

Zhang, T., Su, J., Liu, C. and Chen, W-H., (2021). State and parameter estimation of the AquaCrop model for winter wheat using sensitivity informed particle filter. Computers and Electronics in Agriculture. 180, 105909-105909

Lu, Y., Chen, X., Zhai, X., Saha, S., Ehsan, S., Su, J. and McDonald-Maier, K., (2021). A Fast Simulation Method for Analysis of SEE in VLSI. Microelectronics Reliability. 120, 114110-114110

Li, M., Chen, S., Zhao, H., Tang, C., Lai, Y., Ung, COL., Su, J. and Hu, H., (2021). The short-term associations of chronic obstructive pulmonary disease hospitalizations with meteorological factors and air pollutants in Southwest China: a time-series study. Scientific Reports. 11 (1), 12914-

Yi, D., Su, J. and Chen, W-H., (2021). Probabilistic Faster R-CNN with Stochastic Region Proposing: Towards Object Detection and Recognition in Remote Sensing Imagery. Neurocomputing. 459, 290-301

Zhang, T., Xu, Z., Su, J., Yang, Z., Liu, C., Chen, W-H. and Li, J., (2021). Ir-UNet: Irregular Segmentation U-Shape Network for Wheat Yellow Rust Detection by UAV Multispectral Imagery. Remote Sensing. 13 (19), 3892-3892

Liu, Y., Su, J., Shen, L., Lu, N., Fang, Y., Liu, F., Song, Y. and Su, B., (2021). Development of a mobile application for identification of grapevine (Vitis vinifera L.) cultivars via deep learning. International Journal of Agricultural and Biological Engineering. 14 (5), 172-179

Li, S., Zhu, C., Mao, Q., Su, J. and Li, J., (2021). Active Disturbance Rejection Vibration Control for an All-clamped Piezoelectric Plate with Delay. Control Engineering Practice. 108, 104719-104719

Chen, S., Song, Y., Su, J., Fang, Y., Shen, L., Mi, Z. and Su, B., (2021). Segmentation of field grape bunches via an improved pyramid scene parsing network. International Journal of Agricultural and Biological Engineering. 14 (6), 185-194

Su, J., Coombes, M., Liu, C., Zhu, Y., Song, X., Fang, S., Guo, L. and Chen, W-H., (2020). Machine Learning Based Crop Drought Mapping System by UAV Remote Sensing RGB Imagery. Unmanned Systems. 08 (01), 71-83

Yi, D., Su, J., Hu, L., Liu, C., Mohammed, Q., Mehrdad, D. and Chen, W-H., (2020). Implicit Personalization in Driving Assistance: State-of-the-Art and Open Issues. IEEE Transactions on Intelligent Vehicles. 5 (3), 397-413

Meng, Y., Han, Y., Liang, Z., Su, J. and Lan, Y., (2020). Harvest-aid application strategy in different cotton planting densities by unmanned aerial vehicle. International Journal of Precision Agricultural Aviation. 2 (1), 31-41

Wu, K., Su, J. and Sun, C., (2020). Output Feedback Control for Mobile Robot Systems with significant External Disturbances. Science in China Series F: Information Sciences. 63 (9)

Meng, Y., Su, J., Song, J., Chen, W-H. and Lan, Y., (2020). Experimental evaluation of UAV spraying for peach trees of different shapes: effects of operational parameters on droplet distribution. Computers and Electronics in Agriculture. 170, 105282-105282

Mi, Z., Zhang, X., Su, J., Han, D. and Su, B., (2020). Wheat stripe rust grading by deep learning with attention mechanism and images from mobile devices. Frontiers in Plant Science. 11, 558126-

Yi, D., Su, J., Liu, C., Quddus, M. and Chen, W-H., (2019). A machine learning based personalized system for driving state recognition. Transportation Research Part C: Emerging Technologies. 105, 241-261

Yi, D., Su, J., Liu, C. and Chen, W-H., (2019). New Driver Workload Prediction Using Clustering-Aided Approaches. IEEE Transactions on Systems Man and Cybernetics: Systems. 49 (1), 64-70

Yi, D., Su, J., Liu, C. and Chen, W-H., (2019). Personalized Driver Workload Inference by Learning From Vehicle Related Measurements. IEEE Transactions on Systems Man and Cybernetics: Systems. 49 (1), 159-168

Su, J. and Chen, W-H., (2019). Model-Based Fault Diagnosis System Verification Using Reachability Analysis. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 49 (4), 742-751

Yi, D., Su, J., Liu, C. and Chen, W-H., (2019). Trajectory Clustering Aided Personalized Driver Intention Prediction for Intelligent Vehicles. IEEE Transactions on Industrial Informatics. 15 (6), 3693-3702

Zhang, T-X., Su, J-Y., Liu, C-J. and Chen, W-H., (2019). Potential Bands of Sentinel-2A Satellite for Classification Problems in Precision Agriculture. International Journal of Automation and Computing. 16 (1), 16-26

Su, J., Liu, C., Hu, X., Xu, X., Guo, L. and Chen, W-H., (2019). Spatio-temporal monitoring of wheat yellow rust using UAV multispectral imagery. Computers and Electronics in Agriculture. 167, 105035-105035

Zhang, T., Su, J., Liu, C. and Chen, W-H., (2019). Bayesian Calibration of AquaCrop Model for Winter Wheat by Assimilating UAV Multi-Spectral Images. Computers and Electronics in Agriculture. 167, 105052-105052

Su, J., Liu, C., Coombes, M., Hu, X., Wang, C., Xu, X., Li, Q., Guo, L. and Chen, W-H., (2018). Wheat yellow rust monitoring by learning from multispectral UAV aerial imagery. Computers and Electronics in Agriculture. 155, 157-166

Su, J. and Chen, W-H., (2018). Further results on “Reduced order disturbance observer for discrete-time linear systems”. Automatica. 93, 550-553

Li, T-C., Su, J-Y., Liu, W. and Corchado, JM., (2017). Approximate Gaussian conjugacy: parametric recursive filtering under nonlinearity, multimodality, uncertainty, and constraint, and beyond. Frontiers of Information Technology & Electronic Engineering. 18 (12), 1913-1939

Smith, J., Su, J., Liu, C. and Chen, W-H., (2017). Disturbance Observer Based Control with Anti-Windup Applied to a Small Fixed Wing UAV for Disturbance Rejection. Journal of Intelligent & Robotic Systems. 88 (2-4), 329-346

Su, J., Yi, D., Liu, C., Guo, L. and Chen, W-H., (2017). Dimension Reduction Aided Hyperspectral Image Classification with a Small-sized Training Dataset: Experimental Comparisons. Sensors. 17 (12), 2726-2726

Su, J., Chen, W-H. and Yang, J., (2016). On Relationship Between Time-Domain and Frequency-Domain Disturbance Observers and Its Applications. Journal of Dynamic Systems, Measurement, and Control. 138 (9)

Su, J., Li, B., Chen, W-H. and Yang, J., (2016). Reduced-order disturbance observer design for discrete-time linear stochastic systems. Transactions of the Institute of Measurement and Control. 38 (6), 657-664

Su, J., Li, B. and Chen, W-H., (2015). On existence, optimality and asymptotic stability of the Kalman filter with partially observed inputs. Automatica. 53, 149-154

Su, J., Li, B. and Chen, W-H., (2015). Simultaneous state and input estimation with partial information on the inputs. Systems Science & Control Engineering. 3 (1), 445-452

Su, J., Li, B. and Chen, W-H., (2015). Recursive filter with partial knowledge on inputs and outputs. International Journal of Automation and Computing. 12 (1), 35-42

Yang, J., Su, J., Li, S. and Yu, X., (2014). High-Order Mismatched Disturbance Compensation for Motion Control Systems Via a Continuous Dynamic Sliding-Mode Approach. IEEE Transactions on Industrial Informatics. 10 (1), 604-614

Su, J., Yang, J. and Li, S., (2014). Continuous finite-time anti-disturbance control for a class of uncertain nonlinear systems. Transactions of the Institute of Measurement and Control. 36 (3), 300-311

Yang, J., Li, S., Su, J. and Yu, X., (2013). Continuous nonsingular terminal sliding mode control for systems with mismatched disturbances. Automatica. 49 (7), 2287-2291

Book chapters (1)

Su, J., Liu, C. and Chen, W-H., UAV Multispectral Remote Sensing for Yellow Rust Mapping: Opportunities and Challenges. In: Unmanned Aerial Systems in Precision Agriculture. Springer

Conferences (14)

Yi, D., Su, J. and Chen, W-H., (2019). Locust Recognition and Detection via Aggregate Channel Features

Zhang, T., Su, J., Liu, C. and Chen, W-H., (2019). Integration of Calibration and Forcing Methods for Predicting Timely Crop States by Using AquaCrop-OS Model

Hu, L., Su, J., Hutchinson, M., Liu, C. and Chen, W-H., (2018). Bayesian Estimation of A Periodically-Releasing Biochemical Source Using Sensor Networks

Zhang, T., Su, J., Liu, C. and Chen, W-H., (2018). Bayesian Calibration of AquaCrop Model

Su, J., Coombes, M., Liu, C., Guo, L. and Chen, W-H., (2018). Wheat Drought Assessment by Remote Sensing Imagery Using Unmanned Aerial Vehicle

Zhang, T., Su, J., Liu, C., Chen, W-H., Liu, H. and Liu, G., (2017). Band selection in sentinel-2 satellite for agriculture applications

Dewei Yi, Su, J., Liu, C. and Chen, W-H., (2016). Data-driven situation awareness algorithm for vehicle lane change

Su, J. and Chen, W-H., (2016). Fault diagnosis for vehicle lateral dynamics with robust threshold

Meng, F., Su, J., Liu, C. and Chen, W-H., (2016). Dynamic decision making in lane change: Game theory with receding horizon

Su, J., Chen, W-H. and Li, B., (2015). High order disturbance observer design for linear and nonlinear systems

Su, J., Chen, W-H. and Li, B., (2014). Nonlinear state estimation with nonlinear equality constraints

Su, J., Chen, W-H. and Li, B., (2014). Disturbance observer based fault diagnosis

Su, J., Li, B. and Chen, WH., (2013). Bayesian recursive filtering with partially observed inputs and missing measurements

Su, J., Yang, J. and Li, S., (2013). Finite-time disturbance rejection control for robotic manipulators based on sliding mode differentiator

Grants and funding

2021

FollowPV - Developing autonomous unmanned aerial vehicles with spatial awareness for improved image quality from solar farm inspections

Innovate UK (formerly Technology Strategy Board)

2020

Space-enabled Crop disEase maNagement sErvice via Crop sprAying Drones (SCENE-CAD)

Science and Technology Facilities Council

Precision Detection and Control of Oriental Armyworm, Mythimna separata (Walker), Infected Maize by Drone Scouting Empowered Precise Drone Spraying Systems

University of Sheffield (Funder)

Contact

j.su@essex.ac.uk

Location:

5B.525, Colchester Campus