Matthew Danish

Dr Matthew Danish

Researcher at Mathematics and Computer Science department of Eindhoven University of Technology.
Visitor at the Computer Laboratory of Cambridge University [former postdoc].

[CV]

About

Dr Matthew Danish is an experienced researcher with a background in programming language theory, lightweight verification of scientific programs, systems topics including operating system implementation and sensor networks, machine learning for computer vision with an emphasis on object detection and tracking using low-power 'edge' computers, and more recently a cross-disciplinary fusion of geography and computer vision to develop a machine model of human perception of city streets. From Jan 2023 until Jan 2025 he was working at the Utrecht University Geosciences department of Human Geography and Spatial Planning. Before that, he was working as a postdoctoral research associate from 2015 to the end of 2022 at the University of Cambridge Department of Computer Science and Technology as a member of the Digital Technology Group and later the Systems Research Group.

While at Cambridge from 2015 to 2019 he was working on the CamFort and Fortran-Src projects, designing and delivering language analysis and refactoring software for lightweight verification and modernisation of scientific programs written in Fortran. He has collaborated with partners from the Met Office, Bloomberg and the Numerical Algorithms Group to help find bugs in large code bases and modernise older Fortran programs, as well as to disseminate knowledge about these tools and opportunities at numerous workshops.

From 2019 to 2022 in Cambridge he was a member of the Centre for Digital Built Britain within the Construction Innovation Hub, building intelligent sensors for the West Cambridge Digital Twin project. He developed the DeepDish project for object detection and tracking on edge systems, such as Raspberry Pi, within the Adaptive City framework, and co-authored several papers about topics ranging from intelligent sensors to data management to complex event recognition.

He was also a volunteer trustee of Cambridge Cycling Campaign (Camcycle) from 2017 to 2022, a local charity with over 1,600 members, working for more, better and safer cycling in the Cambridge region. As a volunteer, he led campaigns for safer streets and cycling-friendly development suitable for people of all ages and abilities. This entailed working with community groups, residents associations, elected councillors, council officers, planners and engineers to bring about concrete changes in the built environment to create healthier and more sustainable infrastructure that enables people to be able to safely and easily cycle as a mode of general-purpose transport.

Prior to moving to Cambridge (UK) he was a graduate student at Boston University (USA) completing a PhD in Computer Science and also engaged in volunteering and campaigning for safer streets as a member or partner of local organisations such as LivableStreets Alliance, WalkBoston and Boston Cyclist Union.

Papers, Reports and Presentations

Dissertation

Terrier: An embedded operating system using advanced types for safety. Boston University, 2015. [PDF]

Projects

Contest awards

Miscellaneous

Last updated: 31 Mar 2025