Contact Dr Seemal Asif

Areas of expertise

  • Aerospace Manufacturing
  • Industrial Automation
  • Industrial Ergonomics and Human Factors

Background

Dr. Seemal Asif has over 11 years of experience in research development and delivery in the field of Automation, Robotics, and Systems Integration. Dr Asif has been involved in several projects sponsored by Airbus, EPSRC and Innovate UK. She has been instrumental in setting up the Human-robot Interaction for gesture control. One of her research projects focuses on the Relatime Error Correction and Compensation for the Industrial Robots on an open Network. She has an interest in Swarm Intelligence and Hybrid communication. Her work for assembly and automation has been recognised and respected widely. 

She has completed her Ph.D. in Robotics and Intelligent Automations at Cranfield University.  Seemal received her MSc Software Engineering from the University of York in 2010 and then joined the Intelligent Automation group at the Centre for Structures, Assembly, and Intelligent Automation at Cranfield University as a Research Fellow. Seemal has worked for 4 years in the software engineering industry in an institutional environment where she had the opportunity to research supportive tools for the University. During this time, she worked on multiple projects at various levels from developer to project manager.

She is interested in researching automation, robotics, intelligent automation, machine learning, artificial intelligence, software engineering, formal methods, and control theory. Being naturally inclined towards academia, she finished her MSc Computer Science in 2009 and obtained Eureka Scholarship for the MSc Software Engineering in York. She is a Gold Medalist for both her Undergrad and Masters.

As part of Cranfield University, she developed the Flexible Cell Coordinator (FLEXA). Flexa was the Seventh Framework Programme (FP7) project with the involvement of companies like Volvo Aero, Rolls-Royce, Avio, MTU (Germany), etc. She teaches and supervises MSc and PhD students in Robotics, Machine Learning, and IoT and Artificial Intelligence. 

She is registered as a Chartered Engineer (CEng) by British Engineering Council and recognized as a Fellow of the British Higher Education Academy (FHEA) in the UK and a member of the Institute of Engineering and Technology (IET).

Research opportunities

MSc by research and PhD opportunities are available in the following main areas:

  • Imitation Learning
  • Intelligent Robotic Hand
  • Automated Robotic Welding
  • Robotic inspection in confined spaces
  • Robot Swarm Communication Network – A Heterogeneous system 
  • Applied AI and Machine Learning

If you are interested in any of those topics or you may have your own idea, please first discuss with Dr Seemal Asif (s.asif@cranfield.ac.uk) email to arrange the time. To apply for a PhD position, fill in our online application form at Cranfield University - Online applicationsmentioning your preferred supervisor's name on the form.  Robotics is part of our Aerospace 'theme', so don't worry if the application form has this as the subject area.

Students are normally expected to identify their own source of funding, e.g. self-funding, an employer, or a nationally-funded scholarship.  From time to time, we have funding for PhD scholarships - we always advertise these at https://www.cranfield.ac.uk/research/phd?Keyword=&Theme=aerospace

Current activities

  • Machine Learning
  • Internet of Things
  • System Integration
  • Artificial Intelligence
  • Robotics 
  • Human-Robot Integration
  • Intelligent automation
  • Software Engineering, Design and Architecture
  • Machine Vision and Image Processing 
  • Formal Methods 
Research Students:

  • Shifan Li (2020-2023)
  • Angelos DIMAKOS (2020-21)
  • Ashish JAISWAL (2020-21)
  • Zhengwei JIN (2020-21)
  • Lalitha ORUGANTI (2020-21)
  • Daniel WOODHALL (2020-21)
  • Robert Zoumboulis-Airey (2020-21)
  • Ohima Agans-oliha (2020-21)
  • Daniella Alvarado (2019-20)
Research Titles:

  • Artificial Robotic hand for customising applications
  • Framework of Robotic GMAW Process in Simulation
  • Framework for Robot Swarm Communication Network – A Heterogeneous system 
  • Navigating in an unmapped environment with automatic obstacle avoidance
  • Imitation Learning for performing a task 
  • Automated robotic welding station
  • Application of different Machine Learning techniques on a Robot to enable multi-purposeness
  • A Framework for Controlling Multiple Industrial Robots using Mobile Applications
  • Imitation Learning of Bionic Hand

Module Leader for:

  • Robotics Control
  • Artificial Intelligence
  • Machine Learning
  • Signal Analysis

Clients

  • Airbus
  • Seventh Framework Programme (FP7) project with the involvement of companies such as Volvo Aero, Rolls-Royce, Avio and MTU (Germany).
  • EPSRC Centre of Intelligent Automation.
Research collaboration with Wootzano Ltd and HeyBeeSee

Publications

Articles In Journals

Conference Papers