Ameer H. Khan

   

 (+852) 65985117 |  ameer.h.khan@connect.polyu.hk |  A.H. Khan |  Ameer Hamza |  ahk



    

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

• Working on projects initiated by Smart City Research Institute (SCRI).

• Developing path planning and control algorithms for a mobile robotic platform for autonomous indoor localization and mapping.

• Teaching and research supervision of graduate students.

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

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

• Utilized the graph theory tostudy the patterns of the virus transmissionthrough a population while considering the social dynamics and environment

constraints.

• Utilized the computer graphics soware and physics engines to simulate the flow of virus particles and develop a microscopic understanding of the

dynamics of virus transmission.

    

  Sep. 2015 ‑ May 2016

• Worked in the Cyber‑physical systems lab at the Department of Computing under the supervision of Professor Zili Shao. The research was focused

on indoor localization, mapping, and path planning of drones.

• Completed an independent project to interface temperature transducer with 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 constraints suchas; obstacle avoidance, RCM constraints forsurgical robots, and nonholonomic constraintsofthemobile

platforms. I also explored the prospects of integrating so actuators with articulated robots and carried out several experimental studies to bridge the

gap between classical control and so robotic control paradigm.

My Ph.D. thesis presented a recurrent neural network (RNN)‑based generalized optimal‑control framework for hybrid robotic agents and applied it to

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, and X. Luo, “Obstacle avoidance and tracking control of redundant robotic manipulator: An RNN based metaheuristic approach,”

IEEE Transactions on Industrial Informatics, 2019. doi: 10.1109/TII.2019.2941916 Impact Factor: 10.22

• 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: 5.72

• 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: 6.17

• 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

• A.H. Khan, S. Li, and X. Cao, “Tracking control of redundant manipulator under active remote center of motion constraints: An RNN‑based

metaheuristic approach,” SCIENCE CHINA Information Sciences, 2020. doi: 10.1007/s11432‑019‑2735‑6 Impact Factor: 4.38

• A.H. Khan, X. Cao, S. Li, and C. Luo, “Using social behavior of beetles to establish a computational model for operational management,” IEEE

Transactions on Computational Social Systems, 2020. doi: 10.1109/TCSS.2019.2958522 Impact Factor: 3.29

• A.H. Khan and S. Li, “Dynamic manipulation of pneumatically controlled so finger for home automation,” Measurement, 108680, 2020. doi:

10.1016/j.measurement.2020.108680 Impact Factor: 3.93

• 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: 2.65

• 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: 3.29

• Q. Wu, X. Shen, Y. Jin, Z. Chen, S. Li, A.H. Khan, and D. Chen, “Intelligent beetle antennae search for UAV sensing and avoidance of obstacles,” Sensors,

19, no. 8, 2019. doi: 10.3390/s19081758 Impact Factor: 3.58

 

• 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.

• M.S. Nazir, M. Aqil, A. Mustafa, A.H. Khan, and F. Shams, “Real‑time brain activation detection by FPGA implemented Kalman filter,” International

Conference on Control, Automation and Systems (ICCAS), pp. 432‑435, 2015. doi: 10.1109/ICCAS.2015.7364954

 



• 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

organizing committee for a national level entrepreneurial competition, CREATE’15.

 

  

  May 2021

Delivered a research talk on the Applications of Optimization Algorithms for the Control of Robotic Systems.

   PolyU

  July 2019

Summarized the learning and experiences of ten weeks long entrepreneurial program. The presentation discussed important factors related to

commercializing a research project.

      PolyU