Dr Hasan Shaheed
PhD (Sheffield), PGCAP (London), SFHEA, MIEEE, CEng, MIET, NTF

 
Dr Hasan Shaheed

Reader in Robotics and Renewable Energy
Programme Director - Mechanical Engineering
Professional Body Liaison - IMechE
Member - Recruitment and Admissions Committee
Member - Academic Standards Committee
Member - Education Committee
Deputy Chair- University Academic Misconduct Panel

+44 (0)20 7882 7520
Engineering 316, Mile End

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support hours:
Wednesday: 12-1pm
Expertise: Design, model developments, control and optimisation of autonomous, robotics and renewable energy systems using traditional, artificial intelligence (AI) and machine learning (ML) approaches. Application areas include i) Aerial/ Solar Aerial robots for inspection/ monitoring, ii) Medical Robotics: Capsule robots for GI tract inspection, Surgical robotic retractor, iii) Assistive Technologies: prosthetics, elderly care robots, iv) Remote inspection/handling robots, v) Renewable Energy Systems: PV, Wind turbine, Pressure retarded osmosis, vi) Renewable energy-driven water treatment, vii) Expert systems. AI/ML approaches include deep learning, reinforcement learning neural networks, fuzzy logic, and biologically inspired optimisation techniques: GAs, Whale Optimisation, Grey Wolf Optimisation, etc.
Research Centre:
Affiliations: National Teaching Fellow
Senior Fellow, Higher Education Academy
CEng (Chartered Engineer)
Member, The Institution of Engineering and Technology, MIET
Member, The Institute of Electrical and Electronics Engineers, MIEEE

Brief Biography

Dr Shaheed obtained his PhD Artificial Intelligence (AI) based model developments and control of a flexible robotic manipulator system from the Department of Automatic Control and Systems Engineering, University of Sheffield, UK. He then joined the School of Engineering and Materials Science (SEMS), Queen Mary University of London, as a lecturer (Assistant Professor) where he is now a Reader.

Dr Shaheed's research is focused on the design, model development, control and optimisation of autonomous, robotic and renewable energy systems using traditional, artificial intelligence (AI) and machine learning (ML) approaches. He published over eighty peer-reviewed research articles in highly esteemed journals and conference proceedings and supervised 13 PhDs to successful completion supported by different funding schemes such as research councils, industry sponsorships, government of various countries and family sponsorships (self-financed). He also supervised several PDRAs, RAs and sponsored visiting research fellows.

Dr Shaheed's research in collaboration with Mr Mo Thaha, a colorectal surgeon at QMUL, on the design and experimental validation of a novel locomotion concept for an endoscopic capsule robot resulted in a patent at PCT stage and an international patent publication (PCT/EP2021/075342, WO 2022/058354/A1). Dr Shaheed received the Innovation Award, Proof of Concept Award, Engagement and Enterprise Award, Impact Acceleration Account Award, Barts Innovations in Healthcare Award and HEFCE Med Tech Super Connector Award from Queen Mary Innovation (QMI) due to the commercial potential of several of his research outputs.

Due to his research contribution to Renewable Energy, Dr Shaheed was invited by the Eni Scientific Secretariat to submit an application for an Eni Award, one of the most prestigious awards received by the world's leading scientists in the field. He supervised a research team to invent the 'first Solar Helicopter (Solarcopter) in the world'. The helicopter can be operated with solar energy only without the help of any Battery. The news appeared in several National and International Media, including the Daily Planet show of Discovery Channel, Gizmag, Fast Company and Designboom Magazines, the Daily Star and the Independent. The news was also broadcast by Channel I and Channel S. The project received the National Physical Laboratory prize in the Industrial Liaison Forum (ILF).

Dr Shaheed has been awarded a National Teaching Fellowship (NTF) - the most prestigious UK award for excellence in Higher Education teaching and student learning support. Widely recognised in the UK and internationally, the award celebrates individuals who have made an exemplary impact on student learning and promoted excellence in teaching. His name and others who won the award appeared in the Times Higher Education news.

www.heacademy.ac.uk/national-teaching-fellows-2017?page=2
www.timeshighereducation.com/news/daughter-follows-father-winning-uks-top-teaching-award
www.qmul.ac.uk/media/news/items/199683.html

Dr Shaheed has co-authored an advanced textbook "Parallel Computing for Real-time Signal Processing and Control" published by Springer. He has also co-authored four book chapters in the book "Flexible manipulator-modelling, simulation and control" published by the IET.

Dr Shahed is a chartered engineer (CEng), a member of the Institution of Engineering and Technology (MIET) , UK, and a member of the Institute of Electrical and Electronics Engineers (MIEEE).


Academic awards received:
[01] UK National Teaching Fellowship
[02] Engagement and Enterprise Award-Proof of Concept
[03] Barts Innovation in Healthcare Award
[04] QMUL, Drapers' Teaching Fellowship
[05] QMUL, 'Drapers' Award for Developments in Teaching and Learning'
[06] Dhaka University Book Prize for securing the first class first position in MSc.
[07] Janata Bank Scholarship & Dhaka University Prize for securing first class first position in BSc (Hons.).
[08] Talent Pool Scholarship for securing 3rd position in the combined merit list of Jessore Board in HSC.
[09] Chancellor's Awards from the Chancellor of the Univ. in Bangladesh for outstanding performance in SSC.
[10] Talent Pool Scholarship for securing 3rd position in the combined merit list of Jessore Board in SSC.

Research Supervision:

PhDs Completed [Primary Supervisor]
[01] Sara A., Modelling and optimisation of renewable energy powered water treatment, 2024
[02] Afsoon F. Abdollahi, Modelling and control of a robotic active capsule endoscope, 2023
[03] Chaoran Sun, Design, modelling and control of a solar-powered rotary aerial vehicle, 2022
[04] Stephen Agha, Design and adaptive control of a solar-powered multi-rotor unmanned aerial vehicle, 2020
[05] Ololade Obadina, Modelling and control of a leader-follower robotic manipulator system, 2019
[06] Aly Abidali, Design, fabrication, and control of a solar-powered multi-rotor micro aerial vehicle, 2019
[07] Yingxue Chen, Modelling, control and performance optimisation of renewable energy systems, 2019
[08] Vahid Elyasigomari, Prognosis and multi-category classification of cancer using biological data, 2017
[09] Tianyi Tao, Design, modelling and control of a robotic retractor for colorectal surgery, 2017
[10] S Wijewardana, Model predictive controller design for an efficient hybrid energy system, 2017
[11] Wei He, Modelling and control of osmotic energy extraction from natural salinity gradients, 2016
[12] Rakibul Hasan, Modelling and Interactional control of a multi-fingered robotic hand for grasping, 2015
[13] Akbar Rahideh, Model Identification and robust nonlinear MPC of a twin-rotor MIMO system, 2009

PhDs Ongoing [Primary Supervisor]
[01] Khalid O I Fagbemi, Solar-powered VTOL unmanned aerial system design and control
[02] Yufei Ba, A miniature low-cost assistive robotic system for disabled and elderly
[03] Sarah Hussain, Sensor integration and design and control of a prosthetic hand
[04] K M Talha Nahiyan, Prosthetic hand control with ML/AI MMG signal processing
[05] Xin Yang, Model development and control of a swarm of UAVs

***Potential students willing to pursue PhD in the fields of Aerial Robotics, Solar Aerial Robotics (Solarcopter), Medical Robotics, Capsule Robot, Surgical Robotic Retractor, Leader-follower Robot, Assistive Technologies, Prosthetics, Elderly Care Robots, Hybrid Renewable Energy Systems, Photovoltaics, Wind Power, Osmotic Power, Blue Energy, Water Treatment are encouraged to contact me.

Post-doctoral Research Assistants, Research Assistants and Visiting Research Fellows:
[01[ Sarah Hussain, Better the bone project, funded by EPSRC through IAA, March-December, 2023
[02] Dr Alireza Monjezi: UK-Egypt Institutional links programme funded by British Council, 2016-2018
[03] Julius Bernth, Design and control of robotic capsule endoscope funded by HEFCE, 2015-2016
[04] Professor Vandre Barbosa Briao, University of Passo Fundo, Brazil, funded by Royal Society, 2020-2022
[05] Professor Bidyadhar Subudhi, National Institute of Technology, Rourkela, India, 2012-'15
[06] Professor Ali Akbar Safavi, Professor, Shiraz University, Iran, 2005-'06
[07] Dr Abdulrahman Hasan Bajoda, BAE SYSTEMS Post-doctoral Summer Researcher, June-August, 2006.
[08] Pavel Sofer, Visiting Researcher, Feb 2009- August, 2009
[09] Dr Abdulrahman Hasan Bajoda, BAE SYSTEMS Post-doctoral Summer Researcher, June-August, 2009.

MEng Group Projects as Principal Supervisor
[01] Hybrid energy-driven drone delivery system (2019-'20)
[02] Solar-powered micro aerial vehicle (2019-'20)
[03] Gaze controlled wheel-chair (2016-'17)
[04] Lower-Limb Exoskeleton (2015-'16)
[05] Prosthetic Robotic Hand (2014-'15)
[06] Solar VIII (Solarcopter) (2013-'14)
[07] Light Flight (Solarcopter (2013-'14)
[08] Capsule Robot (2013-'14)
[09] Solarcopter (2012-'13)
[10] Capsule robot (2012-'13)

MSc Research Projects Supervised
[01] Bhayakumar Khasetiya, (2022-'23): End effect reduction of linear induction motor
[02] Zhengduo Xiao , (2022-'23): Covid-19 prediction using machine learning and smart wearable device
[03] Ahmed Alsaadawi, (2022-'23): Autonomous Mobile Robot
[04] Adeel Mehdi, (2022-'23): Hand motion control robots
[05] Yunis Salaad Dhallin, (2022-'23): Computer simulation and vibration analysis
[06] Libin Rockey Jacob Jacob, (2021-'22): Low-cost bioinic hand with universal joint at cmc analysis
[07] Lelun Wang, (2021-'22):PID control and Fuzzy PID control for quadrotor
[08] Matthew Alan Clisby, (2021-'22): A Novel Intra-UAV Swarm Communication Methodology
[09] Nada Afifi, (2021-'22): Passive Multi-Axis Prosthetics Leg Simulation
[10] Adam Abdallah Degaichia, (2021-'22): Development of a wireless controller for a robotic arm
[11] Jingwei Zhao, (2020-'21): Design and Control of Quadrotor UAV System
[12] Salman Khondoker, (2020-'21): Communication between Autonomous Vehicles via VLC
[13] Sarah Hussain, (2019-'20): Development of a Bionic Hand Control System
[14] Amar Abidali, (2019-'20): Wave energy conversion for electricity production
[15] Abdul Muhtasim Mujib, (2019-'20): Development of a hybrid battery electric vehicle charging system
[16] Mojan Omidvar, (2018-'19): Design and development of a robotic retractor for minimally invasive colectomy
[17] Sakthi Sundharam Sakthidasan, (2018-'19): Design, analysis and fabrication of a wheel legged rescue robo
[18] Nakibul Nuhash, (2016-'17): Design modelling and control of a fixed wing UAV
[19] Akshay Patel, (2015-'16): Modelling of powertrain architecture for new generation routemaster
[20] Adeel Anwar Mughal, (2014-'15): Robotic hand control using EMG signal
[21] Ayushma Giri, (2014-'15): Design and fabrication of an autonomous robot for pipeline monitoring
[22] Chiara Schiavone, (2013-'14): Cancer classification based on a particular gene selection method
[23] Szu-Wei Chou, (2013-'14): Design & modelling of a multifunctional prosthetic hand using EMG signal
[24] Ayesha Akhter, (2012-'13): Multi-category classification of prostate cancer
[25] Shariq Neshat Akhtar, (2012-'13): A bionic model of human arm and the measurement of EMG signal
[26] Maryam S. Mirjafari, (2012-'13): Diagnosis and classification of diseases using gene expression data
[27] Rashed Sobhan, (2012-'13): Evaluation of gene selection method for cancer classification
[28] Shu Zhao, (2011-'12): Analysis of Gene Expression Data for Diagnosis and Classification of Diseases
[29] Lorna Maclean, (2011-'12): Application of clustering techniques in the analysis of gene expression profiles
[30] Robert E. Martin, (2010-'11): Clinical Data Analysis using AI with Application to EMG Signal
[31] Tawfiq Peerally,(2010-'11): Colon Cancer Classification using Gene Expression Profile
[32] Shruthi Murthy, (2010-'11): Breast Cancer Diagnosis based on Wavelet and Artificial Neural Networks
[33] Cesar E Zapata G, (2009-'10): ECG Signal Classification using Wavelet and Artificial Neural Networks