| 职 称：副研究员 |
| 学 历：博士 |
| 邮箱：omisore@siat.ac.cn |
研究领域：学习的控制建模，内镜机器人系统，人工智能和机器学习与，人机交互控制自主手术导航 |
OMISORE Olatunji Mumini，博士，中国科学院深圳先进技术研究院副研究员。2010~2014年在HTRDG计算机有线公司软件工程师 工作2014年毕业于阿库雷联邦科技大学计算机科学；获中国科学院大学博士奖学金并于2019年获博士学位。2020~2021年模式识别与智能系统专业博士后研究方向是人工智能及机器人控制算法研究。期间作为牵头申请并获批NSFC外籍青年科学家基金项目、中国科学院国际人才基金项目（PIFI）和深圳科技研发资金面上项目。发表论文20篇SCI的期刊论文引用650余次； ICIT2017学生论文奖。担任IEEE T-RO、IEEE SMC、IEEE IROS等十余项会议与期刊审稿人。主要研究方向：学习的控制建模，内镜机器人系统，人工智能和机器学习与，人机交互控制自主手术导航。
(1) 科技部的引进人才专项；血管内心脏介入手术中智能机器人导航的多模数据融合研究；15万；主持；2021.01-2021.12
(2) 中国科学院国际人才计划；Research on Multimodal data fusion for Intelligent Robotic Catheterization during Intravascular Cardiac Interventions；50万；主持；2020.05-2021.12
(3) 国家自然科学基金（国际地区）；血管内心脏介入手术中智能机器人导航的多模数据融合研究；31万；主持；2020.01-2021.12
(4) 深圳市科技研发资金；针对智能心脏血管介入治疗的数据引导的机器人导管术的研究；30万；主持；2020.01-2021.12
(5) 国家自然基金联合基金；穿戴式精确定位介入手术机器人力觉感知与导丝操控机理研究；298万；参与；2020.03-2023.13
(6) 中国科学院深圳先进技术研究院；2018年度杰出青年创新研究基金；5万；主持； 2018.12 -2020.12
[1]. O. M. Omisore, S. P. Han, X. Jing, H. Li, Z. Li, and L. Wang, “A Review on Flexible Robotic Systems for Minimally Invasive Surgery”, IEEE Transactions on Systems Man Cybernetics-Systems, IF=9.309, Q1, (Accepted 2020).
[2]. O. M. Omisore, B. A. Ojokoh, A. E. Babalola, Y. Folajimi, and L. Wang, “An Affective Learning-based System for Diagnosis and Personalized Management of Diabetes Mellitus”, Future Generation Computer System, Elsevier, IF= 6.12, Q1 (Jan. 01, 2021).
[3]. O. M. Omisore, S. Han, L Ren, A. Elazab, N. A. Azeez, T. A. Talaat, H. Li, and L. Wang, “Deeply-Learnt Damped Least-Squares Method for Inverse Kinematics of Snake-Like Robots”, Neural Networks, Elsevier, 107: 34-47, IF=7.197, Q1 (Aug. 28, 2018).
[4]. O. M. Omisore, W. Duan, W. Du, Y. Li, S. Han, Y. Zheng, T Akinyemi, H. Li, X Gao, Y. Li, J. Xiong and L. Wang, “Towards task-specific autonomy in robotic interventions: Learning-based approach for skill assessment during cyborg catheterization ”, IEEE Transactions on Cybernetics, IF= 11.079, Q1 (Under Review, Submitted May 2020).
[5]. O. M. Omisore, S. P. Han, L. X. Ren, G. S. Wang, F. L. Ou, H. Li, and L. Wang, “Towards Characterization and Adaptive Compensation of Backlash in a Novel Robotic Catheter System for Cardiovascular Intervention”, IEEE Transactions on Biomedical Circuits and Systems, 12(4):824-838, IF=3.50, Q1 (May 15, 2018).
[6]. Omisore O. M., W. Du, W. Duan, H. Wang, Y. Zheng, Y. Al-Handarish, T. O. Akinyemi, Y. Liu, J. Xiong, and L. Wang, “Automatic Tool Segmentation and Tracking during Robotic Intravascular Catheterization for Cardiac Interventions”, Quantitative Imaging in Medicine and Surgery, IF= 3.22 , Q2 (Accepted, Jun. 15, 2021).
[7]. T. Akinyemi, O. M. Omisore¥, W. Duan, G. Lu, Y. Al-Handerish, S. Han, and L. Wang, “Fiber Bragg Grating-Based Force Sensors for Robot-assisted Cardiac Interventions: An Overview”, IEEE Sensors Journal, IF= 3.07, Q2 (Feb. 19, 2021).
[8]. Omisore O. M., Han S, Ren L, Zhang N., Ivanov K., Elazab A., and Wang L., “Non-Iterative Geometric Approach for Inverse Kinematics of Redundant Lead-Module in a Radiosurgical Snake-Like Robot”, BioMedical Engineering OnLine, 2017, 16:93, IF=1.68, Q3 (Aug. 01, 2017).
[9]. Y. Alhandarish, O. M. Omisore, W. Duan, J. Chen, L. Zebang, T. O. Akinyemi, W. Du, H. Li, and L. Wang, "Facile Fabrication of 3D Porous Sponges Coated with Synergistic Carbon Black/multiwalled carbon nanotubes For Tactile Sensing Applications", Nanomaterials, IF=4.324, Q3 (Sep. 29, 2020).
[10]. O. M. Omisore, S. Han, Y. Al-Handarish, W Du, W. Duan, T. O. Akinyemi, and L. Wang, “Motion and Trajectory Constraints Control Modeling for Flexible Surgical Robotic Systems”, Micromachines, IF=2.52, Q3 (Apr. 13, 2020).
[11]. W. J. Duǂ, O. M. Omisoreǂ, W. K. Duan, T. Zhou, X. D. Lv, Y. F. Li, S. P. Han, Y. Al-handarish, Q. H. Liu, L. Wang, "Exploration of Interventionists’ Technical Manipulation Skills for Robot-Assisted Intravascular PCI Catheterization”, IEEE Access, 2020(8): 53750-53765, IF=4.09, Q3 (Mar. 13, 2020).
[12]. W. J. Duǂ, O. M. Omisoreǂ, H. H. Li, K. Ivanov, S. P. Han, L. Wang, “Recognition of Chronic Low Back Pain during Lumbar Spine Movements Based on Surface Electromyography Signals”, IEEE Access, 2018:27-42, IF=3.86, Q3 (Apr. 17, 2018).
