Ameer H. Khan

   

 (+852) 65985117 |  ahakhan@polyu.edu.hk |  A.H. Khan (Citations: 1135) |  Ameer Hamza |  ahk



    

          Jan. 2022 ‑ Present

• Pioneered interdisciplinary research at the intersection of robotics, geo‑informatics, smart city, and IoT, contributing to Smart City Research Institute

(SCRI) initiatives.

• Designed robotics‑driven solutions addressing urban science and smart city challenges, emphasizing geo‑informatics integration.

• Mentored 5 Masters and 1 Bachelors student, with ongoing supervision of an additional Masters student.

• Delivered impactful courses including ’Geomatics Algorithms and Programming’, ’Smart Cities: Technologies and Solutions’, and ’Urban Science and

Systems’.

    

  June 2021 ‑ Dec. 2021

• Innovated dialogue intent classification algorithms, emphasizing few‑shot learning for NLP applications.

• Integrated cutting‑edge medical image classification techniques with NLP to develop Medical Visual Question Answering (Med‑VQA) systems.

  May 2021

Worked on a research framework for a multilingual conversational analytics engine using deep‑learning‑based NLP techniques.

  March 2021 ‑ April 2021

       

 June ‑ Aug. 2014

• Programmed PLC systems for medium‑size reactor component control.

• Designed a temperature transducer interface with an 8051‑microcontroller using assembly language.



     Graduated

    Aug. 2016 ‑ Jan. 2021

My research is primarily focused on developing an artificial learning‑based control framework for hybrid robotic agents, a novel combination of

traditional articulated robots with the emerging field of so robotics. I developed algorithms for the motion control of articulated robots while

consideringcritical real‑world constraintssuchas; obstacleavoidance, RCM constraints forsurgicalrobots,and nonholonomic constraints of the mobile

        CGPA: 3.93/4

    Sep. 2011 ‑ June 2015

I got my Bachelor’s degree in electrical engineering with a major in electronics and embedded systems while securing the second‑highest GPA in the

class. My final year project was the implementation of the Kalman‑filter on FPGA to analyze the fNIRS signal for real‑time detection of brain activity. I

was awarded scholarships and awards based on academic excellence.





• A.H. Khan, X. Cao and S. Li, “Management and Intelligent Decision‑Making in Complex Systems: An Optimization‑Driven Approach,”

Springer Nature, 2020. doi: 10.1007/978‑981‑15‑9392‑5

 

• A.H. Khan, S. Li, Dechao Chen, and Liefa Liao,“Tracking control of redundant mobile manipulator: An RNN based Metaheuristic Approach,”

Neurocomputing, 2020. doi: 10.1016/j.neucom.2020.02.109 Impact Factor: 5.5

• A.H. Khan, Z. Shao, S. Li, Q. Wang, and N. Guan, “Which is the best PID variant for pneumatic so robots? An experimental study,” IEEE/CAA Journal

of Automatica Sinica, vol. 7, no. 2, pp. 451‑460, 2020. doi: 10.1109/JAS.2020.1003045 Impact Factor: 7.84

• A.H. Khan, X. Cao, S. Li, V.N. Katsikis, and L. Liao, “BAS‑ADAM: An ADAM based approach to improve the performance of beetle antennae search

optimizer,” IEEE/CAA Journal of Automatica Sinica, vol. 7, no. 2, pp. 461‑471, 2020. doi: 10.1109/JAS.2020.1003048 Impact Factor: 7.84

• A.H. Khan and S. Li, “Sliding Mode Control With PID Sliding Surface for Active Vibration Damping of Pneumatically Actuated So Robots,” IEEE Access,

pp. 88793‑88800, 2020. doi: 10.1109/ACCESS.2020.2992997 Impact Factor: 3.47

• A.H. Khan, X. Cao, V.N. Katsikis, P. Stanimirović, I. Brajević, S. Li, S. Kadry and Y. Nam, “Optimal Portfolio Management for Engineering Problems Using

Nonconvex Cardinality Constraint: A Computing Perspective,” IEEE Access, 2020. doi: 10.1109/ACCESS.2020.2982195 Impact Factor: 3.47

• A.H. Khan, S. Li, X. Zhou, Y. Li, M.U. Khan, X. Luo, and H. Wang, “Neural & bio‑inspired processing and robot control,” Frontiers in neurorobotics, 2018.

doi: 10.3389/fnbot.2018.00072 Impact Factor: 3.493

• A.H. Khan, S. Li, B. Xu, and X. Cao, “A Model‑Free Approach for Online Optimization of Nonlinear Systems,” IEEE Transactions on Circuits and Systems

II: Express Briefs, 2021. doi: 10.1109/TCSII.2021.3079125 Impact Factor: 3.69

• L. Xiao, S. Li, F.J. Lin, Z. Tan, and A.H. Khan, “Zeroing neural dynamics for control design: comprehensive analysis on stability, robustness, and

convergence speed,” IEEE Transactions on Industrial Informatics, 15, no. 5, 2018. doi: 10.1109/TII.2018.2867169 Impact Factor: 11.64

• Y. Zhang, S. Li, J. Zou, and A.H. Khan, “A passivity‑based approach for kinematic control of manipulators with constraints,” IEEE Transactions on

Industrial Informatics, 2019. doi: 10.1109/TII.2019.2908442 Impact Factor: 11.64

• D. Guo, Z. Li, A.H. Khan, Q. Feng, and J. Cai, “Repetitive motion planning of robotic manipulators with guaranteed precision,” IEEE Transactions on

Industrial Informatics, 2020. doi: 10.1109/TII.2020.2970172 Impact Factor: 11.64

• A.H. Khan, X. Cao, and S. Li, “Recurrent Neural Network based Nonlinear Orientation Control of Redundant Stewart Platform,” Expert Systems With

Applications, Under Revision.

• D. Yang, W.Z. Shi, A.H. Khan, “Degeneracy‑Resistant LiDAR‑SLAM Algorithm based on Geometric and Visual Features Fusion,” Journal of Field

Robotics, Under Review.

 

• C. Yang, Y. Zhang, and A.H. Khan, “Undetectable Attack to Deep Neural Networks Without Using Model Parameters,” In International Conference on

Intelligent Computing (pp. 46‑57), Singapore, July 2023.

• X. Li, B. Liu, A.H. Khan, F. Lu, and X.M. Wu, “Multi‑modal pre‑training for medical vision‑language understanding and generation: An empirical study

with a new benchmark,” Conference on Health, Inference, and Learning (CHIL), Proceedings of Machine Learning Research 209:117–132, 2023.

• A.H. Khan, Z. Shao and S. Li, “A Novel Active Damping Mechanism for Multi‑Chambered Parallel So Robots,” IROS Workshop on So Robotic

Modeling and Control: Bringing Together Articulated So Robots and So‑Bodied Robots, short paper poster presentation, 2018.

 



• IEEE Transactions on Cybernetics

• Mathematics

• International Journal of Systems Science

• IEEE Open Journal of Circuits and Systems

• International Journal on Artificial Intelligence Tools

• IEEE Transaction on Industrial Informatics

• So Computing

• IEEE Transactions on Circuits and Systems II: Express Briefs

• IEEE Transactions on Cognitive and Developmental Systems

• PeerJ Computer Science

• Frontiers in Neurorobotics



• IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

• IEEE Symposium on Recent Advances in Electrical Engineering (RAEE)

• IEEE Conference on Decision and Control (CDC)

 

   PolyU

  April ‑ June 2019

Gained knowledge and experience in developing a business plan and learned tools to analyze its viability. The program spanned ten weeks, with a

focus on converting our research project into a commercial business idea.

  PolyU