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Dr Mark Post


Design, Manufacture and Engineering Management

Personal statement

Mark A. Post received his B.A.Sc. in electrical engineering from the University of Toronto in 2004, and his M.Sc. in ultrasonic material analysis and Ph.D. in space robotics from York University, Canada in 2008 and 2014 respectively.  His research background focuses on development of fully autonomous planetary rovers and nanosatellites, which involves development of a multitude of highly-integrated control and communications systems that allow intelligent and efficient autonomous operation.  He joined Strathclyde in January 2014, and work with the The Space Mechatronic Systems Technology (SMeSTech) Laboratory in the Department of Design, Manufacture and Engineering Management (DMEM).  He is an associate editor of the Canadian Aeronautics and Space Journal and have reviewed for several international journals including IEEE Trans. on Industrial Electronics and Mechatronics, Journal of Spacecraft and Rockets, Advances in Space Research, Sensors, and Acta Astronautica.


Has expertise in:

    Mark Post's experience in research includes machine vision for navigation and recognition, data fusion and actuator control systems, semantic probabilistic learning and reasoning methods, reliable and efficient embedded electronic and power architectures for robots in harsh environments, satellite orbit and attitude control, and manufacturing of structures in both Earth and Space environments.  He has developed feature-based visual mapping algorithms for robotic SLAM and object recognition, nonlinear filters and controllers for deeply-embedded processing and logic, a novel framework for high-reliability real-time distributed autonomous robotics, and innovative applications of probabilistic reasoning for robotic intelligence.

Prizes and awards

Strathclyde Teaching Excellence Award Nomination
Strathclyde Teaching Excellence Award Nomination: Most Innovative Teacher
Strathclyde Teaching Excellence Award Nomination

more prizes and awards


Autonomous micro-rovers for future planetary exploration and terrestrial sensing
Post Mark, Li Junquan
15th Reinventing Space Conference, (2017)
System framework for autonomous data processing onboard next generation of nanosatellite
Greenland Steve, Ireland Murray, Kobayashi Chisato, Mendham Peter, White David, Crowther Bill, Kabbabe Khris, Post Mark
15th Reinventing Space Conference, (2017)
Autonomous navigation with ROS for a mobile robot in agricultural fields
Post Mark A., Bianco Alessandro, Yan Xiu T.
14th International Conference on Informatics in Control, Automation and Robotics (ICINCO), (2017)
InFuse : infusing perception and data fusion into space robotics with open building blocks
Post Mark, Souvannavong Fabrice, Govinderaj Shashank, Gancet Jeremi, Bissonnette Vincent, Dominguez Raul, Lacroix Simon, Smisek Michal, Hidalgo-Carrio Javier, Wehbe Bilal, Fabisch Alexander, De Maio Andrea, Oumer Nassir, Bissonnette Vincent, Marton Zoltan-Csaba, Kottath Sandeep, Nissler Christian, Yan Xiu, Triebel Rudolph, Nuzzolo Francesco
14th International Conference on Informatics in Control, Automation and Robotics, (2017)
InFuse : a comprehensive framework for data fusion in space robotics
Govinderaj Shashank, Gancet Jeremi, Post Mark, Dominguez Raul, Souvannavong Fabrice, Lacroix Simon, Smisek Michal, Hidalgo-Carrio Javier, Wehbe Bilal, Fabisch Alexander, De Maio Andrea, Oumer Nassir, Bissonnette Vincent, Marton Zoltan-Csaba, Kottath Sandeep, Nissler Christian, Yan Xiu, Triebel Rudolph, Nuzzolo Francesco
14'th ESA Symposium on Advanced Space Technologies in Robotics and Automation, (2017)
Study for femto satellites using micro control moment gyroscope
Post Mark, Bauer Ralf, Li Junquan, Lee Regina
2016 IEEE Aerospace Conference, pp. 1-8, (2016)

more publications


Two of my most basic philosophies are “Everything is interesting in its own right” and “Anything is possible”. It greatly disturbs me to see students give up on something just because it is “completely boring” or “too hard to understand”. I make a great effort to determine how to present course material in such a way as to make it both interesting and easy to understand, to pass my enthusiasm on to students, andto give students in-class and out-of-class opportunities to play with new science and technology concepts and reach “Eureka” moments of understanding. Memory is most active when new and surprising elements are introduced and every student has a different learning style, so I use a multi-modal learning approach in the classroom incorporating slides and images, video, group activities, real-hardware demonstrations, and visits to laboratories. Learning and memorizing is easier if existing schema in the brain are activated before new information is introduced, so I focus on connecting subjects of study to immediate experiences that students can relate to easily with minimal abstraction. I also balance both summative and formative assessment in my classes to ensure a continuum of learning, and focus on making assessment methods authentic and easy for students to connect to real-world problems by including both memorization of concepts and use of those concepts.

The signature pedagogy of Engineering education is focused on practical applications, but many university programs have considerably more focus on theoretical knowledge rather than its application. When students cannot apply or understand technical concepts, I have found that it is often the link between the theoretical and the practical that is lacking, sometimes termed “Praxis” (Stierer, 2008). To ensure graduates can effectively apply what they have learned, I have frequently championed the cause of experiential education in the university. In a 1995 paper, Coleman has argued for the necessity of ”multi-disciplinary experience and vertical and horizontal integration of skills and teamwork.“ in an engineering program. (R. J. Coleman, "STEP’, 1995). I worked with the York University Rover Team (YURT) to make this student group into an excellent complement to a classroom education, and published results in an IAC conference paper and a journal paper (M.A.Post and R. Lee, “YURT”, Acta Astronautica, 2010). I currently run a Vertically Integrated Projects (VIP) program called Robotic Vehicles for Research and Education (ROVER) so that students can complete real-world robotics projects in a team, and broaden their experiences while obtaining credit for their work.

My philosophies of teaching have centred on these basic concepts:

  1. Provide many points of view to choose from and focus on conceptual simplicity and clarity
  2. Recognize that everyone is different, and structure material to allow for varying skill levels
  3. Ensure that theoretical and practical concepts are connected and associated to familiar ideas
  4. Give everyone a voice, and encourage constructive communication and feedback
  5. Give students freedom to innovate, choose their own path, and have fun with learning

Research interests

Mark Post's research interests focus on technologies to make robots and vehicles fully autonomous for long periods and capable of mobility, comprehensive sensing, and decision-making while handling harsh and rugged environments.  This includes high-reliability and efficient hardware and software architectures for autonomous operation, the design of lightweight and actuated deployable mechatronic structures, and adaptable machine vision and sensor fusion algorithms to give robots a comprehensive understanding of their environment.

Professional activities

15th Reinventing Space Conference
Control of wave energy converters using machine learning strategies
12'th UK-China Space Workshop
14th International Conference on Informatics in Control, Automation and Robotics (ICINCO)
2018 IEEE Aerospace Conference
Member of programme committee
DSTL Defence Academic Pathways Event

more professional activities


Big Data-Driven Distributed Microseismic Monitoring Method for Hydrofracturing Oil Exploration
Yang, Erfu (Principal Investigator) Li, David (Co-investigator) Post, Mark (Co-investigator)
Period 01-Apr-2017 - 31-Mar-2019
Big Data-Driven Distributed Microseismic Monitoring Method for Hydrofracturing Oil Exploration
Yang, Erfu (Principal Investigator) Post, Mark (Co-investigator) Li, David (Co-investigator)
This joint-project aims to address the fundamental research challenge related to the development of Big Data-driven distributed microseismic monitoring method for hydrofracturing oil exporation. This research challenge is related to microseismic image information processing and utilization, i.e., how to quickly and efficiently extract and analyze the information of interest for oil detection, tracking its distribution/storage from distributed data/images acquired by a huge number of sensors deployed across the oil field, through either fixed locations or autonomous vehicles platforms, such as unmanned ground vehicle (UGV). To address this challenge faced by the O&G industry, this joint project is focusing on novel Big Data-driven solutions which can integrate distributed data filtering, intelligent analytics and machine learning techniques to offer unique benefits in terms of its ability to bring in data from multiple and distributed sensing sources and provide a full suite of descriptive, predictive and prescriptive analytics.
Period 01-Apr-2017 - 31-Mar-2019
UK-China Space Mechatronic Systems Technology Laboratory Research Programme | McMaster, Thomas
Yan, Xiu (Principal Investigator) Post, Mark (Co-investigator) McMaster, Thomas (Research Co-investigator)
Period 01-Oct-2014 - 01-Oct-2018
Multi-Purpose CubeSat at the ISS
Post, Mark (Principal Investigator) Vasile, Massimiliano (Co-investigator)
Cubesats are routinely deployed at the ISS but only for classic stand-alone missions, relying on the natural decay of the spacecraft orbit and positive separation from the ISS. Future human exploration missions will require a number of techniques which could be efficiently demonstrated at the ISS with increasing levels of the complexity with a small Cubesat, serving as a multi-purpose platform adaptable for various missions. Among others, the purpose of exterior station inspection will be demonstrated in this project. This study is to define a multi-purpose 8U class Cubesat to be launched from the ISS in a pressurized logistics module and connected to an internal and external docking station for power supply and data transfer (AD[1]).
Period 01-Jan-2016 - 31-May-2016
INFUSE Infusing Data Fusion in Space Robotics (H2020 COMPET-4 OG3)
Post, Mark (Principal Investigator) Vasile, Massimiliano (Co-investigator) Yan, Xiu (Co-investigator)
Period 01-Nov-2016 - 31-Jan-2019
SIROM (Standard Interface for Robotic Manipulation of Payloads in Future Space Missions) (COMPET)
Yan, Xiu (Principal Investigator) Post, Mark (Co-investigator) Vasile, Massimiliano (Co-investigator) Donaldson, Karen (Researcher) Li, Youhua (Researcher)
Period 01-Nov-2016 - 31-Jan-2019

more projects


Design, Manufacture and Engineering Management
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