Review of 2019

Happy New Year

2019 has come and gone. 2020 eagerly awaits getting acquainted. But first we look back one last time, trying to turn this into a old tradition. What have I done during the last year of some academic merit.

Publications: +3 (and currently +5 submitted)

 

Completed refereeing tasks: +9

  • Applied Physics Letters
  • Journal of Physics Communication
  • Super Conducting Science and Technology
  • Crystals
  • Journal of Physics: Condensed Matter (2x)
  • Diamond and Related Materials (3x)

 

Conferences & workshops: +7 (Attended) 

  • Consortium meeting D-NL-HIT, Hochschule Niederrhein, Krefeld, Germany, September 19th 2019
  • Workshop: Coatings Technology & Application of Machine Learning, Hochschule Niederrhein, Krefeld, Germany, September 2nd-6th , 2019
  • Summer School: “Let’s Talk Science”, Antwerp, Belgium, July 2nd, 2019 [invited plenary talk]
  • Summer School on Data Science, Maastricht University, The Netherlands, June 26th-28th,  2019
  • VSC-user day, Brussels, Belgium, June 4th, 2019 [poster presentation]
  • Belgian Physical Society annual meeting 2019, ULB, Brussels, May 22nd, 2019 [poster presentation]
  • SBDD XXIV, Hasselt University, Belgium, March 13th-15th, 2019

 

Science Communication Events: +3  

  • Casting Keynotes TEDxUHasselt:”The Virtual Lab”, November 26th, 2019 [first prize, TEDx talk 2020]
  • Summer School: “Let’s Talk Science”, Antwerp, Belgium, July 2nd, 2019 [invited plenary talk]
  • Universiteit van Vlaanderen: “Kan jij met je computer een snellere smartphone ontwikkelen”, February 19th, 2019 [Live presentation at UvV, Online April 1st]

 

Research Stay: +1           With Prof. Klauss-Uwe Koch, Westfälishe Hochschule, Recklinghausen, Germany, July 29th – August 2nd, 2019

PhD-students: +1             Guillaume Emerick (September 2019-August 2023,PhD student UHasselt-UNamur Project, Belgium, Awarded grant for this project)

Bachelor-students: +1   Siebe Frederix (3rd Bach. Phys., Project: Atoms in Molecules based on force partitioning)

Positions: +1                         Started working on Machine Learning at AMIBM of Maastricht University

 

Current size of HIVE:

  • Finally started a public version of HIVE at github: HIVE 4.x   (3.5K lines, 6 commands available)
  • 60K lines of program (code: 70 %)
  • ~90 files
  • 49 (command line) options

Hive-STM program:

And now, upward and onward, a new year, a fresh start.

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