Tak Ming Wong

Duties • Conduct interdisciplinary research with engineering and visual computing research groups. • Implement a complete data handling procedure. • Collaborate with imaging system engineers to derive physical and mathematical models. • Train on simulation and real‑world data using different neural network architectures. • Evaluate experimental results using quantitative and qualitative metrics. • Manage 5 student helpers to assist with hyperparameter and network architecture optimization.

Duties • Undertake research and development activities for imaging, computer vision and graphics projects. • Develop products in the form of mobile apps, cloud platforms, Windows‑based software, embedded systems, DSP on SoC. • Work with business managers and strategical partners to provide direct technical support for collaborative projects. • Lead cross‑functional teams to manage projects and product development. • Provide business and strategical analysis from a technical perspective for stakeholders.

Duties • Design algorithms to convert monocular video to binocular video for SoC and FPGA platforms. • Implement the algorithm on the iOS platform as proof‑of‑concept. • Improve computational efficiency and effectiveness. Achievements • Optimized the algorithm on iOS ARMS processor by converting all floating‑point computations to fix‑point computations. • Extended the algorithm to a multi‑view video processing algorithm for an 8‑View stereoscopic display system.

• Dissertation (submitted): Optimization based Enhancement of THz Data and Image • Supervisors: Prof. Andreas Kolb, Prof. Peter Haring Bolívar, Prof. Michael Möller • Members of: Computer Graphics and Multimedia Systems Group (CGMM), DFG Research Training Group GRK 1564 Imaging New Modalities, Centre of Sensor Systems (ZESS)