Research Experience  
  • Computer Science. Driven by applications that will reach Petabytes per second rates, Victor's work scales the human discovery process with machine intelligence. As a foundation for such systems his research contributed to machine learning, parallel analytics, and software engineering. He has collaborated with major industry partners such as IBM, Intel, Sun Labs, Oracle in the exploration of industrial-strength techniques. Prior to MIT he headed the Multicore Software Engineering research group at KIT in Germany, supported by the Excellence Initiative and the "Eliteprogramm für Postdocs" of Baden-Wuerttemberg. 

  • Data Science. Victor's work is driven by case studies that demonstrate the power of computer-aided discovery in various contexts. He has been involved in
    • Astronomy: in software aspects of the NASA Transiting Exoplanet Survey Satellite (TESS) and exoplanet search, software aspects for chemistry and biology in search for life beyond our solar system; the ALMA Phasing project to enhance the ALMA Observatory with Very-Long Baseline Interferometry capabilities; software imaging for the Event Horizon Telescope (EHT)
    • Geoscience: Exploration of Earth surface deformation phenomena, volcanics, earthquakes, and atmospheric lee waves. 
    • Solar science: Murchison Widefield Array (MWA) observations of solar phenomena
    • Space science: the Radio Array of Portable Interferometric Detectors (RAPID), studies investigating space weather and the Earth's ionosphere. In the NSF Mahali project, he paved the way for new ionospheric data collection and analytics using mobile phones.
    • Planetary science: Techniques for AI-supported landing site selection on the Moon and on Mars

  • Victor served at MIT as a Principal Research Scientist and principal investigator in NASA and NSF projects. His research spanned MIT's Kavli Institute for Astrophysics and Space Research, MIT's Haystack Observatory, MIT's department of Earth, Atmospheric, and Planetary Sciences (EAPS), and MIT's Computer Science & Artificial Intelligence Laboratory (CSAIL).

 Teaching Experience                                                                      
  • Victor has international teaching experience and has taught in the US, Germany, and Switzerland. He enjoyed working with students while teaching several graduate and undergraduate level university courses and advising more than 30 undergraduate and graduate thesis students.

  • MIT
    • Artificial Intelligence in Science, IAP lecture (2019)
    • Artificial Intelligence for Transiting Exoplanet Survey Satellite Applications, 12S680, co-teaching with Prof. Sara Seager, new course (2019)
    • Computational Methods in Scientific Programming, Lectures on Python, 12.010 with T.Herring / C.Hill (2018)
    • Fundamentals of Machine Learning; Research Opportunities for Undergraduate Students Program (2017)
    • Geoinformatics for Natural Hazards Monitoring, 12.S590, co-teaching with Prof. Herring, new course designed by Pankratius/Herring (2017)
    • Astroinformatics for Exoplanets, 12.S680, co-teaching with Prof. Sara Seager, new course designed by Seager/Pankratius (2015, 2016)
    • Parallel Programming on Multicore Systems and Clouds; Research Opportunities for Undergraduate Students Program (2015, 2016)
    • Multicore Software Engineering; Research Opportunities for Undergraduate Students Program (2013, 2014)

  • Zurich Summer School, 2013; course on Multicore Software Engineering

  • Karlsruhe Institute of Technology, as head of Multicore Research Group at IPD Institute
    • Course: Edge-AI in software and sensor applications
    • Course: Software development for modern, parallel platforms (2008-2012; new course designed by myself)
    • Course: Multicore computers and clusters (2007-2010)
    • Course: Multicore programming in practice: tools, models, languages (2009-2012; new course designed by myself)
    • Course: Empirical Software Engineering (2009)
    • Multicore lab: tools, models, languages (2008-2009; exploring new teaching concept for multicore labs)
    • Multicore lab (2007)
    • Advisor of 13 graduate student theses, 11 undergraduate student theses

  • University of Karlsruhe, as teaching and research assistant at AIFB Institute
    • Course: Applied computer science I (with labs, University of Karlsruhe, 2003-2007)
    • Course: Data management in organizations (with labs, WU Vienna, 2003-2007)
    • Course: Business processes and software engineering (with labs, Hector School of Engineering and Management, 2006)
    • Course: Information systems development (with labs, Virtual Global University, 2003-2007)
    • Lab: Software engineering tools (University of Karlsruhe, 2006-2007; own design)
    • Advisor of 3 graduate student theses, 5 undergraduate student theses

 Open Source Project Lead                                                             

     Academic Genealogy :-)                                                                 
    • Ancestry graph thanks to the American Mathematical Society and Mathematics Genealogy Project