Allan P. Engsig-Karup
Associate Professor in Scientific Computing, M.Sc.(Eng.), Ph.D.
Faculty Member of Center For Energy Resources Engineering (CERE), DTU

	  P. Engsig-Karup Scientific Computing
DTU Compute, Technical University of Denmark
Matematiktorvet, Building 303b/108
2800 Kgs.-Lyngby
Tel: (+45) 45 25 30 73
Fax: (+45) 45 88 26 73
Skype: a.p.engsigkarup
apek @

Research interests linked to applications of basic and applied mathematics research for Advanced Simulations and innovative use of Modern Computing Technologies and contribute to sustainability objectives

Publications, presentations, etc. or check out my profile at ResearchGate.

Internships with companies and research institutions

University Teaching

Course catalogue at DTU: Catalogue

Organized PhD schools, Workshops and Seminars

At the Scientific Computing Section of DTU Compute, we also host Scientific Computing Seminars.

Research and Innovation projects

Active and recent research areas in new technologies, computational mathematics and their applications

All highlights are build from scratch with an aim to deliver state-of-the-art approaches using advanced numerical methods as a part of research effort in my group.

Research in paradigm shifts in scientific computing using modern parallel programming paradigms and emerging many-core and heterogeneous architectures ranging from work desktops to the largest super-computing clusters in the world.
Novel algorithms and high-performance computing for fast (possibly real-time) calculations to pave the way for novel marine and naval hydrodynamics calculations.
Novel and efficient spectral (high-order) and adaptive algorithms for uncertainty quantification of problems with high dimensionality, data science, machine learning and stochastic simulations.
Massively parallel and scalable algorithms such as multigrid and multi-level algorithms for scientific engineering applications, e.g. reservoir simulation and hydrodynamics.

Novel application proof-of-concepts for engineering analysis, e.g. offshore engineering, computational fluid dynamics, room acoustics and vibro-acoustics.

Research in efficient and robust high-order unstructured numerical methods and time-dependent models.

Scientific Software Engineering

Drivers of the research are scientific software for scientific investigation.

Poster highlights of research

Supervision in Research projects (selected and recent)

Community service

2010, Co-founder (with colleagues at Scientific Computing Section) of GPULAB with strong focus on Scientific GPU Computing, fundamental aspects of high-performance and heterogenous computing on modern many-core architectures and software development for proofs of concepts related to next-generation scientific applications using modern programming paradigms (CUDA/OpenCL) and tools. GPUlab was designated Nvidia CUDA Teaching Center May 2012 and Nvidia CUDA Research Center (PI: Allan P. Engsig-Karup) since November 2012.

I am a member of the Scientific Council of Danish Center for Applied Mathematics and Mechanics (DCAMM).