Victor Pankratius
MIT - pankrat at mit . edu
Victor Pankratius leads the MIT Data Science in Astro-&Geoinformatics Group. His research advances computer-aided discovery in a new breed of intelligent systems that leverage artificial intelligence with integrated domain knowledge. To scale on big data, his research also explores new techniques in parallel computing and software engineering for AI. Victor's data science work is driven by case studies and applications in multiple areas including astronomy, geoscience, solar science, planetary science, exoplanet search as well as chemistry and biology in search for life beyond our solar system. He is currently based at the MIT Kavli Institute for Astrophysics and Space Research where he serves as Principal Research Scientist and principal investigator in NASA and NSF projects. His research also spans MIT's Computer Science & Artificial Intelligence Laboratory (CSAIL), MIT's Haystack Observatory, and MIT's department of Earth, Atmospheric, and Planetary Sciences (EAPS).
- Research
* 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 a variety of contexts. In astronomy, he has been involved in software aspects of the NASA Transiting Exoplanet Survey Satellite (TESS); the ALMA Phasing project to enhance the ALMA Observatory with Very-Long Baseline Interferometry capabilities; software imaging for the Event Horizon Telescope; the Radio Array of Portable Interferometric Detectors (RAPID), and in the Murchison Widefield Array (MWA). In geoscience, his studies investigate space weather and ionospheric effects, planetary surface deformation phenomena, volcanics, and hazards. In the NSF Mahali project, he paved the way for new ionospheric data collection and analytics using mobile phones. His planetary science work contributes with AI-supported landing site selection on the Moon and on Mars. - Teaching. 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.
- Education. He holds a Habilitation degree (~2nd PhD) in Computer Science from the Karlsruhe Institute of Technology (2012) and a Dr.rer.pol. (1st PhD) degree with distinction from the University of Karlsruhe (2007). From the University of Münster, Germany, he received a Diplom degree (M.S.) in Business Computer Science best of class (2003) and a Bachelor of Science in Information Systems (BScIS, 2002).
 Publications
 Selected Publications - Computer-Aided Discovery: Towards Scientific Insight Generation with Machine Support
V. Pankratius, J. Li, M. Gowanlock, D. Blair, C. Rude, T. Herring, F. Lind, P. Erickson, C. Lonsdale, IEEE Intelligent Systems 31(4), pp. 3-10, Jul/Aug 2016
[New directions in AI-guided data discovery with domain knowledge infusion, with examples in geoscience and astronomy] - Mobile Crowd Sensing in Space Weather Monitoring: The Mahali Project
V. Pankratius, F. Lind, A. Coster, P. Erickson, J. Semeter. IEEE Communications Magazine 52(8), pp. 22-28, August 2014
[New data processing strategies towards enabling Earth's ionosphere as planet-wide sensor, e.g., for natural hazards] - Computer Aided Detection of Transient Inflation Events at Alaskan Volcanoes using GPS Measurements from 2005-2015
J. Li, C. Rude, D. Blair, M. Gowanlock, T. Herring, V. Pankratius. Journal of Volcanology and Geothermal Research 327(5), pp.634-642, Nov 2016
[Example of new discovery made with Computer-Aided Discovery approach] - Computer-Aided Discovery of Debris Disk Candidates: A Case Study Using the Wide-Field Infrared Survey Explorer (WISE) Catalog
Tam Nguyen, Victor Pankratius, Laura Eckman, Sara Seager, Astronomy & Computing vol 23, pp. 72-82, Elsevier, April 2018
[Example application in astronomy / exoplanets combining crowd sourcing and machine learning] - Computer-Aided Exploration of the Martian Geology
Guillaume Rongier, Victor Pankratius, Earth and Space Science 5(8), pp.393-407, Wiley, August 10, 2018
[Example of computer-aided planetary exploration and landing site identification in perspective of future increased autonomy missions] - Exploiting Variant-based Parallelism for Data Mining of Space Weather Phenomena
M. Gowanlock, D. Blair, V. Pankratius. 30th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2016), pp.760-769
[New form of parallelism for data discovery, illustrated for clustering algorithms; 496 submissions, 114 accepted, acceptance rate 23%] - Clustering Throughput Optimization on the GPU
M. Gowanlock, C. Rude, D. Blair, J. Li, V. Pankratius. 31st IEEE International Parallel & Distributed Processing Symposium (IPDPS 2017), pp.832-841
[BEST PAPER AWARD; 516 submissions, 116 accepted, acceptance rate 22%]
 - Towards Deriving Theories from Data: Explorations of Model Inference in Geophysics
Victor Pankratius, Cody Rude, Guillaume Rongier, Thomas Herring
American Geophysical Union, 2018 Fall Meeting, ID 447323, Session IN13A-01, Mon Dec 10, 2018 (accepted for presentation) - Convolutional Autoencoders for Earthquake Anomaly Detection in InSAR
Guillaume Rongier, Cody Rude, Thomas Herring, Victor Pankratius
American Geophysical Union, 2018 Fall Meeting, ID , Session IN025, 2018 (accepted for presentation) - Automatic InSAR Phase Modeling And Quality Assessment Using Machine Learning And Hypothesis Testing
Bas van de Kerkhof, Victor Pankratius, Ling Chang, Rob van Swol, Ramon F. Hanssen
IEEE Geoscience and Remote Sensing Symposium, Valencia, Spain, July 22-27, 2018 (accepted) - Deep Learning for Discovery of Atmospheric Mountain Waves in MODIS and GPS Data
Victor Pankratius, Justin Li, Cody Rude, Michael Gowanlock, Thomas Herring
American Geophysical Union, 2017 Fall Meeting, ID 225210, Session IN11E-01, Mon Dec 11, 2017 (accepted for presentation) - Discovering Coseismic Traveling Ionospheric Disturbances Generated by the 2016 Kaikoura Earthquake
Justin Li, Cody Rude, Michael Gowanlock, Victor Pankratius
American Geophysical Union, 2017 Fall Meeting, ID 225174, Session NH51C-06, Fri Dec 15, 2017 (accepted for presentation) - Discovery of Spatio-Temporal Relationships in GRACE, GPS Time Series, and Groundwater Data Using Voronoi Visualizations
Cody Rude, Justin Li, Guillaume Rongier, Michael Gowanlock, Thomas Herring, Victor Pankratius
American Geophysical Union, 2017 Fall Meeting, ID 231671, Session IN31D-09 , Wed Dec 13, 2017 (accepted for presentation) - Information Extraction from Dynamic PS-InSAR Time Series Using Machine Learning
- Bas van de Kerkhof, Victor Pankratius, Ling Chang, Rob van Swol, Ramon Hanssen,
- American Geophysical Union, 2017 Fall Meeting, ID 265894, Session G33A-05, Wed Dec 13, 2017 (accepted for presentation)
- Artificial Intelligence Support for Landing Site Selection on Mars
- Guillaume Rongier, Victor Pankratius,
- American Geophysical Union, 2017 Fall Meeting, ID 244037, Session P13G-08, Mon Dec 11, 2017
(accepted for presentation) - Clustering Throughput Optimization on the GPU [BEST PAPER AWARD]
Michael Gowanlock, Cody Rude, David Blair, Justin Li, Victor Pankratius. 31st IEEE International Parallel & Distributed Processing Symposium (IPDPS 2017), Orlando, Florida, May 29-June 2, 2017, pp.832-841
[516 submissions, 116 accepted, acceptance rate 22%]
- Mahali: Mobile Phones and Cloud Computing in Space Weather and Beyond
Victor Pankratius, David Mascharka, Phil Erickson, Frank Lind, Anthea Coster, Michael Hirsch, John Swoboda, Joshua Semeter. 97th American Meteorological Society Annual Conference, 14th Conference on Space Weather, Seattle, January 22-27, 2017 (accepted for presentation)
- Inferring Large-Scale Terrestrial Water Storage Through GRACE and GPS Data Fusion in Cloud Computing Environments
Cody Rude, Justin Li, Michael Gowanlock, Thomas Herring, Victor Pankratius. 47th Annual Fall Meeting, ID , Session H019 (Characterization of Large Groundwater Systems through the Integration of Data and Tools Across Spatial and Temporal Scales), San Francisco, 2016 (accepted for presentation)
- Shaping the Future of Astro- & Geo-Informatics Education
Victor Pankratius. BigSkyEarth Conference (Big Data Era in Sky and Earth Observation), Education in Big Data Era, Sorrento, Italy, Oct 24, 2016
- Exploiting Variant-based Parallelism for Data Mining of Space Weather Phenomena
Michael Gowanlock, David Blair, Victor Pankratius. 30th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2016), pp.760-769
[496 submissions, 114 accepted, acceptance rate 23%]
- The Mahali Project: Deployment Experiences from a Field Campaign in Alaska
Anthea Coster, Victor Pankratius, Timothy Morin, Will Rogers, Frank Lind, Philip Erickson, David Mascharka, Don Hampton, Joshua Semeter.
Institute of Navigation: International Technical Meeting- GNSS in Environmentally Challenged Environments, Monterey, California, Jan 25-28, 2016
- The Rise of Computer-Aided Discovery in Geoscience
Victor Pankratius, David Blair, Mike Gowanlock, Frank Lind, Phil Erickson. American Geophysical Union, 46th Annual Fall Meeting, ID 63854, Session IN32A-01, Wed Dec 16, 2015
- Mobile Devices and GPU Parallelism in Ionospheric Data Processing
David Mascharka, Victor Pankratius. American Geophysical Union, 46th Annual Fall Meeting, ID 62710, Session IN44A-06, Thu Dec 17, 2015
- The Application of Computer-Aided Discovery to Spacecraft Site Selection
David Blair, Michael Gowanlock, Thomas Herring, Victor Pankratius. American Geophysical Union, 46th Annual Fall Meeting, ID 74445, Session IN53C-07, Fri Dec 18, 2015
- Radio Array of Portable Interferometric Detectors (RAPID): Development of a Deployable Multiple Application Radio Array
Frank Lind, Colin Lonsdale, Andrew Faulkner, Chris Mattmann, Nima Razavi-Ghods, Russ McWhirter, William Rideout, Shakeh Khudikyan, Eloy de Lera Acedo, Paul Alexander, Jim Marchese, Chris Eckert, Roger Cappallo, Juha Vierinen, Robert Schaefer, Victor Pankratius, Divya Oberoi, Michael Joyce, Luca Cinquini, Rishi Verma, Michael Starch. International Conference on Electromagnetics in Advanced Applications, Turin, Italy, Sep 7-11, 2015, pp. 1337-1340
- A Smartphone App for GNSS Ionospheric Data Collection: Initial Field Test Results.
Andrew Kennedy, Ryan Kingsbury, Anthea Coster, Victor Pankratius, Phil Erickson, Paulo Fagundes, E. Rodrigues de Paula, Kerry Cahoy, Juha Vierinen. Institute of Navigation ION GNSS+ 2015 conference, Tampa, Florida, Sep 14-18, 2015
- The Mahali Space Weather Project: Advancing GNSS Ionospheric Science
Anthea Coster, Victor Pankratius, Frank Lind, Philip Erickson, Joshua Semester. Institute of Navigation ION GNSS+ 2014 conference, Tampa, Florida, Sep 8-12, 2014
- Auto-Adaptive Radio Astronomy Instruments
Victor Pankratius, Colin Lonsdale. Proc. Exascale Radio Astronomy, American Astronomical Society, Monterey, CA, USA, 30 March - 4 April, 2014
- Mahali: Space Weather Monitoring Using Multicore Mobile Devices
Victor Pankratius, Frank Lind, Anthea Coster, Philip Erickson, Joshua Semeter. American Geophysical Union, 46th Annual Fall Meeting, December 2013
- AutoTunium: An Evolutionary Tuner for General-Purpose Multicore Applications
Andreas Zwinkau, Victor Pankratius. 18th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2012), Singapore, December, 2012
[294 submissions, 87 accepted, acceptance rate 29%]
- Combining Functional and Imperative Programming for Multicore Software: An Empirical Study Evaluating Scala and Java
Victor Pankratius, Felix Schmidt, Gilda Garreton. 34th ACM/IEEE International Conference on Software Engineering (ICSE 2012), Zurich, Switzerland, June 2-9, 2012 (Research Track).
[408 submissions, 87 accepted, acceptance rate 21.3%]
- Moving Database Systems to Multicore - An Auto-Tuning Approach.
Victor Pankratius, Martin Heneka. International Conference on Parallel Processing (ICPP 2011), Taipei, Taiwan, September 13-16, 2011. IEEE digital library
[363 submissions, 81 accepted, acceptance rate 22.3%]
- Application-Level Automatic Performance Tuning on the Single-Chip Cloud Computer.
Victor Pankratius, Sven Bläse. 3rd Many-core Applications Research Community (MARC) Symposium, Germany. KIT Scientific Publishing, September 2011
[Best Paper Award - top3]
- OpenMPspy: Leveraging Quality Assurance for Parallel Software.
Victor Pankratius, Fabian Knittel, Leonard Masing, Martin Walser. Euro-Par 2011, Bordeaux, France, Springer LNCS 6853, August 29-September 2, 2011
[271 submissions, 81 accepted, acceptance rate 29.9%]
- Run-Time Automatic Performance Tuning for Multicore Applications.
Thomas Karcher, Victor Pankratius. Euro-Par 2011, Bordeaux, France, Springer LNCS 6852, August 29-September 2, 2011
[271 submissions, 81 accepted, acceptance rate 29.9%]
- Exploiting Cache Traffic Monitoring for Run-Time Race Detection.
Jochen Schimmel, Victor Pankratius. Euro-Par 2011, Bordeaux, France, Springer LNCS 6852, August 29-September 2, 2011
[271 submissions, 81 accepted, acceptance rate 29.9%]
- A Study of Transactional Memory vs. Locks in Practice.
Victor Pankratius, Ali-Reza Adl-Tabatabai. 23rd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2011), San Jose, California, USA, June 2011
[116 submissions, 35 accepted, acceptance rate 30%]
- Automated Usability Evaluation of Parallel Programming Constructs.
Victor Pankratius. 33rd ACM/IEEE International Conference on Software Engineering (ICSE 2011), New Ideas and Emerging Results Track, Honolulu, Hawaii. May 2011
[198 submissions, 46 accepted, acceptance rate 23%]
- Localizing Defects in Multithreaded Programs by Mining Dynamic Call Graphs.
Frank Eichinger, Victor Pankratius, Philipp W. L. Grosse, Klemens Boehm. Testing: Academic and Industrial Conference - Practice and Research Techniques (TAIC PART), LNCS 6303, Springer, 2010
- Engineering Parallel Applications with Tunable Architectures.
Christoph Schaefer, Victor Pankratius, Walter F. Tichy. 32nd ACM/IEEE International Conference on Software Engineering (ICSE 2010), Cape Town, South Africa, May 2010
[380 submissions, 52 accepted, acceptance rate 13.7%]
- New Horizons in Multicore Software Engineering.
Victor Pankratius, Michael Philippsen. 32nd ACM/IEEE International Conference on Software Engineering (ICSE 2010), Cape Town, South Africa, May 2010
- Multicore Software Engineering - The Next Challenge in Software Engineering.
Victor Pankratius, Walter Tichy, Peter Hinsbeeck. 32nd ACM/IEEE International Conference on Software Engineering (ICSE 2010), Cape Town, South Africa, May 2010
- XJava: Exploiting Parallelism with Object-Oriented Stream Programming.
Frank Otto, Victor Pankratius, Walter F. Tichy. Euro-Par2009, Springer LNCS 5704, August 2009
[257 submissions, 85 accepted, acceptance rate 33%]
- Atune-IL: An Instrumentation Language for Auto-Tuning Parallel Applications.
Christoph Schaefer, Victor Pankratius, Walter F. Tichy. Euro-Par2009, Springer LNCS 5704, August 2009
[257 submissions, 85 accepted, acceptance rate 33%]
- High-level Multicore Programming with XJava.
Frank Otto, Victor Pankratius, Walter F. Tichy. 31st ACM/IEEE International Conference on Software Engineering (ICSE 2009), New Ideas and Emerging Results, May 2009
[118 submissions, 21 accepted, acceptance rate 18%]
- Helgrind+: An Efficient Dynamic Race Detector.
Ali Jannesari, Kaibin Bao, Victor Pankratius, Walter F. Tichy. IEEE International Parallel & Distributed Processing Symposium (IPDPS 2009), May 2009
[440 submissions, 101 accepted, acceptance rate 23%]
- Herausforderung Multikern-Systeme (in German).
Walter Tichy, Victor Pankratius. Software Engineering 2008, Munich, Germany, February 2008
- Information Systems Development
at the Virtual Global University: An Experience Report.
Victor Pankratius, Wolffried Stucky. 27th ACM/IEEE International
Conference on Software Engineering (ICSE 2005), St. Louis, Missouri, USA,
May 2005
- A Formal Foundation
for Workflow Composition, Workflow View Definition, and Workflow Normalization
based on Petri Nets.
Victor Pankratius, Wolffried Stucky. Proc. of the Second Asia-Pacific Conference on
Conceptual Modelling (APCCM2005), Newcastle, Australia, Jan 30 - Feb 4,
2005 (available at ACM Digital Library)
[32 submissions, 9 accepted, acceptance rate 28%]
- Retrieving
Content with Agents in Web Service E-Learning Systems.
Victor Pankratius, Olivier Sandel, Wolffried Stucky. Proc. of the
Symposium on Professional Practice in AI, IFIP WG12.5, First IFIP Conference
on Artificial Intelligence Applications and Innovations (AIAI), Toulouse,
France, August 2004
Journals - A Hybrid Approach for Optimizing Parallel Clustering Throughput using the GPU
M. Gowanlock, C. Rude, D. Blair, J. Li, V. Pankratius, IEEE Transactions on Parallel and Distributed Systems, accepted Sep1, 2018, to appear - Characterizing the Complex Two N-Wave Ionospheric Signature of the 2016 Kaikoura Earthquake
Justin Li, Cody Rude, Victor Pankratius, Journal of Geophysical Research - Space Physics, accepted Nov 29 2018, to appear - Computer-Aided Exploration of the Martian Geology
Guillaume Rongier, Victor Pankratius, Earth and Space Science 5(8), pp.393-407, Wiley, August 10, 2018 - Intelligent Systems for Geosciences: An Essential Research Agenda
Y. Gil, S. Pierce, H. Babaie, A. Banerjee, K. Borne, G. Bust, M. Cheatham, I. Ebert-Uphoff, C. Gomes, M. Hill, J. Horel, L. Hsu, J. Kinter, C. Knoblock, D. Krum, V. Kumar, P. Lermusiaux, Y. Liu, C. North, V. Pankratius, S. Peters, B. Plale, A. Pope, S. Ravela, J. Restrepo, A. Ridley, H. Samet, S. Shekhar, K. Skinner, P. Smyth, B. Tikoff, L. Yarmey, J. Zhang
Communications of the ACM (CACM), accepted March 2018, to appear - Computer-Aided Discovery of Debris Disk Candidates: A Case Study Using the Wide-Field Infrared Survey Explorer (WISE) Catalog
Tam Nguyen, Victor Pankratius, Laura Eckman, Sara Seager, Astronomy & Computing vol 23, pp. 72-82, Elsevier, April 2018 - Parallel Optimization of Signal Detection in Active Magnetospheric Signal Injection Experiments
Michael Gowanlock, Cody Rude, Justin Li, Victor Pankratius, Computers and Geosciences Journal vol 114, pp. 107-116, Feb 11, 2018 - Field-aligned GPS Scintillation: Multi-Sensor Data Fusion
Sebastijan Mrak, Joshua Semeter, Michael Hirsch, Gregory Starr, Don Hampton, Roger Varney, Ashton Reimer, John Swoboda, Phil Erickson, Frank Lind, Anthea Coster, Victor Pankratius, Journal of Geophysical Research: Space Physics vol 123, Wiley, 19 pp., Jan 29, 2018 - The Alma Phasing System: A Beamforming Capability For Ultra-High-Resolution Science At (Sub)Millimeter Wavelengths
L. Matthews, G. Crew, S. Doeleman, R. Lacasse, A. Saez, W. Alef, K. Akiyama, R. Amestica, J. Anderson, D. Barkats, A. Baudry, D. Broguiere, R. Escoffier, V. Fish, J. Greenberg, M. Hecht, R. Hiriart, A. Hirota, M. Honma, P. Ho, C. Impellizzeri, M. Inoue, Y. Kohno, B. Lopez, I. Marti-Vidal, H. Messias, Z. Meyer-Zhao, M. Mora-Klein, N. Nagar, H. Nishioka, T. Oyama, V. Pankratius, J. Perez, N. Phillips, N. Pradel, H. Rottmann, A. Roy, C. Ruszczyk, B. Shillue, S. Suzuki, R. Treacy, Publications of the Astronomical Society of the Pacific 130(983), Dec 13, 2017, 28pp., arXiv draft - GPS Signal Corruption by the Discrete Aurora: Precise Measurements From the Mahali Experiment
Joshua Semeter, Sebastijan Mrak, Michael Hirsch, John Swoboda, Gregory Starr, Donald Hampton, Philip Erickson, Frank Lind, Anthea Coster, Hassanali Akbari, Victor Pankratius, Geophysical Research Letters 44(19), Wiley, pp. 9539--9546, October 5, 2017 - Optimizing Parallel Clustering Throughput in Shared Memory
Mike Gowanlock, David Blair, Victor Pankratius, IEEE Transactions on Parallel and Distributed Systems (TPDS), 28(9), pp. 2595-2607, Sep 1, 2017
- Wavelet-Based Characterization of Small-Scale Solar Emission Features at Low Radio Frequencies
Akshay Suresh, Rohit Sharma, Divya Oberoi, Srijan B. Das, Victor Pankratius, Brian Timar, Colin J. Lonsdale, Judd D. Bowman, Frank Briggs, Roger J. Cappallo, Brian E. Corey, Avinash A. Deshpande, David Emrich, Bryan M. Gaensler, Robert Goeke, Lincoln J. Greenhill, Bryna J. Hazelton, Melanie Johnston-Hollitt, David L. Kaplan, Justin C. Kasper, Eric Kratzenberg, Mervyn J. Lynch, S. Russell McWhirter, Daniel A. Mitchell, Miguel F. Morales, Edward Morgan, Stephen M. Ord, Thiagaraj Prabu, Alan E. E. Rogers, Anish Roshi, N. Udaya Shankar, K. S. Srivani, Ravi Subrahmanyan, Steven J. Tingay, Mark Waterson, Randall B. Wayth, Rachel L. Webster, Alan R. Whitney, Andrew Williams, Christopher L. Williams
The Astrophysical Journal 843(1), 12pp, June 27, 2017. arXiv draft
- Computer Aided Detection of Transient Inflation Events at Alaskan Volcanoes using GPS Measurements from 2005-2015
Justin Li, Cody Rude, David Blair, Michael Gowanlock, Thomas Herring, Victor Pankratius. Journal of Volcanology and Geothermal Research, vol 327(5), pp.634-642, November 2016
- There’s an App for That: Using a Smartphone for GNSS Ionospheric Data Collection
Andrew Kennedy, Ryan Kingsbury, Anthea Coster, Victor Pankratius, Philip. J. Erickson, Paulo Roberto Fagundes, Eurico R. de Paula, Kerri Cahoy, Juha Vierinen, GPS World, pp. 58-66, June 2016
- Computer-Aided Discovery: Towards Scientific Insight Generation with Machine Support
Victor Pankratius, Justin Li, Michael Gowanlock, David M. Blair, Cody Rude, Tom Herring, Frank Lind, Philip J. Erickson, Colin Lonsdale,
IEEE Intelligent Systems, vol. 31(4), pp. 3-10, July/August 2016
- GNSS-ISR data fusion: General framework with application to the high-latitude ionosphere
Joshua Semeter, Michael Hirsch, Frank Lind, Anthea Coster, Philip Erickson, Victor Pankratius, Radio Science, pp. 118-129, March 2016
- Computing in Astronomy: To See the Unseen
Victor Pankratius, Chris Mattmann. IEEE Computer 47(9), special issue on Computing in Astronomy, guest editors' introduction, pp.23-25, Sep 2014
- Imaging an Event Horizon: Mitigation of Scattering Toward Sagittarius A*
Vincent Fish, Michael Johnson, Ru-Sen Lu, Sheperd Doeleman, Katherine Bouman, Daniel Zoran, William T. Freeman, Dimitrios Psaltis, Ramesh Narayan, Victor Pankratius, Avery Broderick, Carl Gwinn, Laura Vertatschitsch. The Astrophysical Journal, 795(2), p. 134, June 2014 arXiv draft
- Imaging the Supermassive Black Hole Shadow and Jet Base of M87 with the Event Horizon Telescope
Ru-Sen Lu, Avery Broderick, Fabien Baron, John Monnier, Vincent Fish, Sheperd Doeleman, Victor Pankratius. The Astrophysical Journal, vol 788(2), pp. 1-10, June 20 2014. arXiv Draft
- Mobile Crowd Sensing in Space Weather Monitoring: The Mahali Project
Victor Pankratius, Frank Lind, Anthea Coster, Philip Erickson, Joshua Semeter. IEEE Communications Magazine, Special Issue on Mobile Crowd Sensing, 52(8), pp. 22-28, August 2014
- Software Engineering with Transactional Memory vs. Locks in Practice.
Victor Pankratius, Ali-Reza Adl-Tabatabai. Theory of Computer Systems 55(3), Springer, pp. 555-590, October 2014
[early view published online Mar 5, 2013]
- Data Mining for Defects in Multicore Applications: An Entropy-Based Call-Graph Technique.
Frank Eichinger, Victor Pankratius, Klemens Böhm. Concurrency and Computation: Practice and Experience, 26(1), pp. 1-20, Wiley,
published online Sep 18 2012, print Jan 2014
- Truck Scheduling on Multicore.
Victor Pankratius, Walter F. Tichy. it-Information Technology 53(2), pp. 60-65, Oldenbourg, 2011, ISSN 1611-2776
- Auto-Tuning Support for Manycore Applications - Perspectives for Operating Systems and Compilers.
Thomas Karcher, Christoph Schaefer, Victor Pankratius. ACM SIGOPS Operating System Review, 43(2), Special Issue on the Interaction among the OS, Compilers, and Multicore Processors, pp. 96-97, April 2009
- Parallelizing BZip2. A Case Study in Multicore Software Engineering.
Victor Pankratius, Ali Jannesari, Walter F. Tichy. IEEE Software 26(6), pp. 70-77, Nov.-Dec. 2009, ISSN: 0740-7459, DOI: 10.1109/MS.2009.183
- Product Lines for Digital Information Products.
Andreas Oberweis. Victor Pankratius, Wolffried Stucky. Information Systems, 32(6), pp. 909-936, 2007, Elsevier, ISSN: 0306-4379
- Reengineering of Educational Material: A Systematic Approach.
Victor Pankratius, Gottfried Vossen. International Journal of Knowledge and Learning (IJKL), 1(3), pp. 229-248, 2005, Inderscience Publishers, ISSN (Online): 1741-1017, ISSN (Print): 1741-1009
- Aspect-Oriented Reengineering of E-Learning Courseware.
Victor Pankratius, Wolffried Stucky, Gottfried Vossen. The Learning Organization: An International Journal, 12(5), pp. 457-470, 2005, Emerald Group Publishing, ISSN: 0969-6474
- Transfer Learning of InSAR Atmospheric Effects for Earthquake Characterization
Cody Rude, Guillaume Rongier, Thomas Herring, Victor Pankratius
American Geophysical Union, 2018 Fall Meeting, Session G41B, 2018 - Data Processing Explorations of Ionospheric Signatures from the August 24th, 2016 Central Italy Earthquake
Justin Li, Cody Rude, Victor Pankratius. American Geophysical Union, 47th Annual Fall Meeting, ID 203841, Session S43F, San Francisco, Thu Dec 15, 2016
- Computer-Aided Discovery Tools for Volcano Deformation Studies with InSAR and GPS
Victor Pankratius, Juliet Pilewskie, Cody Rude, Justin Li, Michael Gowanlock, Noa Bechor, Thomas Herring, Christelle Wauthier. American Geophysical Union, 47th Annual Fall Meeting, ID 139594, Session IN23B-1774 (New Approaches to Data Discovery Across Geoscience Domains II), San Francisco, Tue Dec 13, 2016
- Wavelet Based Characterization of Low Radio Frequency Solar Emissions
Akshay Suresh, Rohit Sharma, Srijan Bharati Das, Divya Oberoi, Victor Pankratius, Colin Lonsdale. 47th Annual Fall Meeting, ID SH11A-2218, Session SH11A (Understanding Solar and Heliospheric Data for Discovery), San Francisco, 2016
- GPU Accelerated Clustering for Arbitrary Shapes in Geoscience Data
Michael Gowanlock, Cody Rude, Justin Li, Victor Pankratius. American Geophysical Union, 47th Annual Fall Meeting, ID 139334, Session IN022 (Intelligent Systems for Geosciences: Practices, Technologies, and Applications of Advanced Reasoning that are Defining New Frontiers and Accelerating Scientific Discovery), San Francisco, 2016
- Improving Spacecraft Site Selection Through Computer-Aided Discovery And Data Fusion
David Blair, Michael Gowanlock, Justin Li, Cody Rude, Tom Herring, Victor Pankratius, 47th Lunar and Planetary Science Conference (LPSC), 2016
- Parallel Density-Based Clustering for Discovery of Ionospheric Phenomena
Michael Gowanlock, David Blair, Victor Pankratius. American Geophysical Union, 46th Annual Fall Meeting, ID 70326, Session IN43A-1722 (Big Data in the Geosciences: New Analytics Methods and Parallel Algorithms), Thu Dec 17, 2015
- Machine Learning in Ionospheric Phenomena Detection Using Passive Radar
Soubhik Barari, Victor Pankratius, Frank Lind. American Geophysical Union, 46th Annual Fall Meeting, ID 65374, Session IN51A-1781 (Big Data Analytics for Science Data I), Fri Dec 18, 2015
- Automated Characterisation of Weak Solar Bursts in the MWA Data
Akshay S., Divya Oberoi, Brian Timar, Victor Pankratius, Colin Lonsdale, Astronomical Society of India, 17-20 Feb, 2015
- Automated Discovery of Short Duration Solar Radio Bursts in Murchison-Widefield Array (MWA) Data
Brian Timar, Victor Pankratius, Colin Lonsdale, Divya Oberoi, Roger Cappallo, Lynn Matthews.
Session: Computer Vision Codes in Solar Physics: Challenges and Limitations, AGU Fall Meeting, 15-19 Dec, 2014
- A New Class of Weak Radio Bursts: Nanoflares and Coronal Heating?
Divya Oberoi, Akshay S, Colin Lonsdale, Brian Timar, Victor Pankratius, and MWA Collaboration
Session: Status and Challenges in Coronal Heating: Theory, Observations, and Simulation of Physical Processes, AGU Fall Meeting, 15-19 Dec, 2014
- Imaging the Supermassive Black Hole Shadow and Jet Base of M87 with the Event Horizon Telescope
Ru-Sen Lu, Avery Broderick, Fabien Baron, John Monnier, Vincent Fish, Sheperd Doeleman, Victor Pankratius. 223rd Meeting American Astronomical Society, Washington DC, January 5-9, 2014
- The ALMA Phasing Project: New Frontiers in Ultra-High Resolution Astronomy Enabled by a Beamformed ALMA
L. Matthews, W. Alef, J. Anderson, D. Barkats, G. Crew, S. Doeleman, V. Fish, J. Greenberg, M. Hecht, R. Hiriart, M. Honma, C. Impellizzeri, M. Inoue, R. Lacasse, B. Lopez, M. Mora-Klein, N. Nagar, V. Pankratius, N. Pradel, H. Rottmann, A. Roy, C. Ruszczyk, A. Saez, B. Shillue, R. Treacy, ALMA Phasing Project Team. 223rd Meeting American Astronomical Society, Washington DC, January 5-9, 2014
Books
Book Chapters
- Software Engineering in the Era of Parallelism.
Victor Pankratius. In "Emerging Research Directions in Computer Science", KIT Scientific Publishing, 2010
- A Strategy for Content Reusability with Product Lines derived from Experience in Online Education.
Victor Pankratius, Wolffried Stucky. Paola Inverardi and Mehdi Jazayeri (Eds), "Software Engineering Education in the Modern Age: Challenges and Possibilities", LNCS 4309, pp. 128-146, 2006, Springer Verlag, DOI: 10.1007/11949374_9
- Towards the Utilization of Grid Computing in Electronic Learning.
Victor Pankratius, Gottfried Vossen. in Jose C. Cunha and Omer F. Rana (Eds), "Grid Computing: Software Environments and Tools", December 2005, Springer Verlag, ISBN: 1-85233-998-5
Edited Proceedings
- Proceedings of the International Conference on Multicore Software Engineering, Performance, and Tools (MSEPT'12)
Victor Pankratius and Michael Philippsen (Eds), Prague, Czech Republic, May 31-June 1 2012, Springer LNCS 7303
- Proceedings of the 4th international workshop on Multicore software engineering
Victor Pankratius, Michael Philippsen. ACM, 2011
- Proceedings of the 3rd international workshop on Multicore software engineering
Victor Pankratius, Michael Philippsen. ACM, 2010
- Proceedings of the 2nd international workshop on Multicore software engineering
Adam Porter, Victor Pankratius, Lawrence Votta. ACM, 2009
- Proceedings of the 1st international workshop on Multicore software engineering
Victor Pankratius, Walter Tichy. ACM, 2008
- eOrganisation: Service-, Prozess-, Market Engineering.
Andreas Oberweis, Christof Weinhardt, Henner Gimpel, Agnes Koschmider, Victor Pankratius, Björn Schnizler (Eds.). Universitätsverlag Karlsruhe. 2007. ISBN: 978-3-86644-094-4 (Volume 1), 978-3-86644-095-1 (Volume 2), ISBN: 978-3-86644-093-7 (Set)
Workshops
- CorrelX: A Cloud-Based VLBI Correlator
Victor Pankratius, Antonio Vazquez. 5th International VLBI Technology Workshop, MIT Haystack Observatory, October 12-14, 2016
- Streaming Extensions for Object-Oriented Languages.
Frank Otto, Victor Pankratius, Walter F. Tichy. Position Statement, Workshop on Streaming Systems: From Web and Enterprise to Multicore, co-located with the 41st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), Lake Como, Italy, November 8, 2008
- Software Engineering for Multicore Systems - An Experience Report.
Victor Pankratius, Christoph Schaefer, Ali Jannesari, Walter F. Tichy. Proc. International Workshop on Multicore Software Engineering (IWMSE), co-located with ICSE2008, ACM, May 2008.
- Lernobjekte im E-Learning - Eine kritische Beurteilung zugrunde liegender Konzepte anhand eines Vergleichs mit komponentenbasierter Software-Entwicklung.
Victor Pankratius, Andreas Oberweis, Wolffried Stucky. 9. Workshop Multimedia in Bildung und Wirtschaft. Technische Universität Ilmenau, Ilmenau, September 2005
- E-Learning Grids: Einsatz von Grid Computing im elektronischen Lernen.
Victor Pankratius. Informatiktage 2003. Fachwissenschaftlicher Informatik-Kongress, Bad Schussenried, Germany, 2003
- Towards E-Learning Grids: Using Grid Computing in Electronic Learning.
Victor Pankratius, Gottfried Vossen. Proc. IEEE Workshop on Knowledge Grid and Grid Intelligence (in conjunction with 2003 IEEE/WIC International Conference on Web Intelligence / Intelligent Agent Technology), Halifax, Nova Scotia, Canada, October 2003
- E-Learning Grids.
Victor Pankratius. Conceptual and Technical Aspects of Electronic Learning, Seminar No 03191, Schloss Dagstuhl, Germany, May 2003
- Mikroprozessorarchitekturkonzepte (in German, "Microprocessor Architecture Concepts").
Victor Pankratius. Informatiktage 2002. Fachwissenschaftlicher Informatik-Kongress, Bad Schussenried, Germany, 2002
Technical Reports
- On the Benefits of Combining Functional and Imperative Programming for Multicore Software. An Empirical Study Comparing Scala and Java
Victor Pankratius, Felix Schmidt, Gilda Garreton. Karlsruhe Reports in Informatics 2011-31, edited by Karlsruhe Institute of Technology, Faculty of Informatics, November 2011
- Evolutionary Auto-Tuning for Multicore Applications
Andreas Zwinkau, Victor Pankratius. Karlsruhe Reports in Informatics 2011-29, edited by Karlsruhe Institute of Technology, Faculty of Informatics, October 2011
- Parallel SQL Query Auto-Tuning on Multicore
Victor Pankratius, Martin Heneka. Karlsruhe Reports in Informatics 2011-5, edited by Karlsruhe Institute of Technology, Faculty of Informatics, February 2011
- Auto-Tuning Multicore Applications at Run-Time with a Cooperative Tuner
Thomas Karcher, Victor Pankratius. Karlsruhe Reports in Informatics 2011-4, edited by Karlsruhe Institute of Technology, Faculty of Informatics, February 2011
- Search Algorithms for Automatic Performance Tuning of Parallel Applications on Multicore Platforms
Victor Pankratius. Karlsruhe Reports in Informatics 2010-8, edited by Karlsruhe Institute of Technology, Faculty of Informatics, July 2010
- TachoRace: Exploiting Performance Counters for Run-Time Race Detection
Jochen Schimmel, Victor Pankratius. Karlsruhe Reports in Informatics 2010-1, edited by Karlsruhe Institute of Technology, Faculty of Informatics, April 2010
- Does Transactional Memory Keep Its Promises? Results from an Empirical Study.
Victor Pankratius, Ali-Reza Adl-Tabatabai, Frank Otto. Technical Report 2009-12, IPD, University of Karlsruhe, Germany, September 2009
- Parallelizing BZip2. A Case Study in Multicore Software Engineering.
Victor Pankratius, Ali Jannesari, Walter F. Tichy. Technical Report, IPD Institute, University of Karlsruhe, Germany, April 2008
(this report is a previous version of the IEEE Software article, emphasizing different aspects)
- Software Engineering for Multicore Systems - An Experience Report
Victor Pankratius, Christoph Schaefer, Ali Jannesari, Walter F. Tichy. Technical Report, IPD Institute, University of Karlsruhe, Germany, December 2007
- Product Lines in E-Learning.
Andreas Oberweis, Victor Pankratius, Wolffried Stucky.Technical Report Nr. 501, AIFB Institute, University of Karlsruhe, Germany, August 2005. ISBN 3-9810441-0-X
- Towards E-Learning Grids: Using Grid Computing in Electronic Learning.
Victor Pankratius, Gottfried Vossen. Technical Report Nr. 98, Dept. of Information Systems, University of Muenster, September 2003
- Towards E-Learning Grids: Using Grid Computing in Electronic Learning.
Victor Pankratius, Gottfried Vossen. Research Report Series 2003-02, Department of Management Systems, University of Waikato, Hamilton, New Zealand, September 2003
Other Publications
- Guest Editors’ Introduction: Parallelism on the Desktop.
Victor Pankratius, Wolfram Schulte, Kurt Keutzer. Special Issue of IEEE Software 28(1), January/February 2011
- International Workshop on Multicore Software Engineering (IWMSE 2009).
Adam Porter, Victor Pankratius, Larry Votta. 31st ACM/IEEE International Conference on Software Engineering (ICSE 2009), Vancouver, Canada, May 2009
- Advances in Multicore Software Engineering.
Victor Pankratius, Adam Porter, Larry Votta. Software Engineering Notes 34(4), July 2009
- International Workshop on Multicore Software Engineering (IWMSE 2008).
Victor Pankratius, Walter Tichy. Companion of the 30th ACM/IEEE International Conference on Software Engineering (ICSE 2008), Leipzig, Germany, 2008
- Parallelism in Curricula: An International Survey.
David Meder, Victor Pankratius, Walter Tichy. Report of the International Working Group Software Engineering for parallel Systems, German Computer Science Society (Gesellschaft fuer Informatik e.V.), 2008
- Die Multicore-Revolution und ihre Bedeutung für die Softwareentwicklung.
Victor Pankratius, Walter F. Tichy, Objektspektrum 4/2008
Tutorials
- Data Science with Scikit Data Access and Scikit Discovery
C. Rude, G. Rongier, V. Pankratius. 2nd Annual Radio Science Symposium, MIT Haystack, Westford, MA, USA, November 8, 2017 - Multicore Software Engineering and Auto-Tuning.
Victor Pankratius. 34th ACM/IEEE International Conference on Software Engineering (ICSE 2012), Zurich, Switzerland
[52 proposal submissions, 17 accepted]
- Multicore Software Engineering.
Victor Pankratius. Technical Briefing at FSE/ESEC2011, Szeged, Hungary
- Multicore Software Engineering.
Victor Pankratius, Walter F. Tichy, Beverly Bachmayer. Full-Day Tutorial at the 32nd ACM/IEEE International Conference on Software Engineering (ICSE 2010), Cape Town, South Africa
- Multicore Software Engineering.
Victor Pankratius, Walter F. Tichy, Peter Hinsbeeck. Full-Day Tutorial at OOP 2010, January 25, Munich, Germany
- Multicore Software Engineering.
Victor Pankratius, Walter F. Tichy, Jeff Gallagher. Full-Day Tutorial at the 31st ACM/IEEE International Conference on Software Engineering (ICSE 2009), Vancouver, Canada
- Transactional Memory versus Locks - A Comparative Case Study
Victor Pankratius. Talk at "Technical Briefing on Multicore Software Engineering", Special Session at the 31st ACM/IEEE International Conference on Software Engineering (ICSE 2009), Vancouver, Canada
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Keynotes
- Keynote Speaker
"Computer-Aided Discovery in Astronomy", Multicore World & HPC: The Square Kilometre Array Example, Feb 2015, Wellington, New Zealand
- Keynote Speaker
"Improving Multicore Software Quality With Data Mining and Crowdsourcing Techniques", 10th PADTAD/ISSTA'12, Jul 2012, Minneapolis, USA
- Keynote Speaker
"Ubiquitous Auto-Tuning", November 2011, 4th MCC, Nov 2011, Linköping, Sweden
- Keynote Speaker
Autotuning Symposium -Int’l. Conf. on Parallel Processing and Applied Mathematics (PPAM), Sep 2011, Torun, Poland
- Keynote Speaker
"The Future of Auto-Tuning", 7th iWAPT/ICCS'12, Jun 2011, Singapore
Selected Invitations
- NASA Goddart Workshop on Artificial Intelligence, Goddart Space Flight Center, MD
November 2018 - National Astronomical Research Institute of Thailand
November 2018: International VLBI Technology Workshop, "Machine Learning and Cloud Correlation: Opportunities for VLBI" - NASA Machine Learning, Boulder, CO
April 2018 - Schlumberger-Doll Research, Cambridge, MA
April 2018: "Computer-Aided Discovery in the Geosciences" - NASA Cloud Analytics, Annapolis, MD
February 2018: "Can a Machine Win a Nobel Prize? Implications for Cloud Analytics” - Math+X Data Science Symposium, Rice University, TX
January 2018, "Computer-Aided Discovery: Can a Machine win a Nobel Prize?" - Lawrence Berkley National Laboratory, Berkeley, CA
June 2017, Colloquium on Computer-Aided Discovery
- Nvidia, Santa Clara, CA
July 2017, Talk on Computer-Aided Discovery
- Max Planck Institute, Bonn
April 2017, Colloquium on Computer-Aided Discovery
- NASA Goddart Space Flight Center, Maryland
April 2017, Colloquium on Computer-Aided Discovery
- Oracle, Redwood Shores
April 2017, Talk on Computer-Aided Discovery
- NASA AMES, CA
April 2017, Colloquium on Computer-Aided Discovery
- Intel, San Jose, CA
April 2017, GPS, Mobile Phones, and Cloud Computing in Space Weather Applications and Beyond
- NASA Jet Propulsion Laboratory (JPL), Pasadena
March 2017, Colloquium on Computer-Aided Discovery
- German Parliament, Berlin
March 2017, Education, Research & Technology Assessment Meeting
- NASA Langley / National Institute of Aerospace, Hampton, Virginia
February 2017, Colloquium on Computer-Aided Discovery
- NASA Headquarters, Washington DC
January 2017, Computer-Aided Discovery: Insight Generation with Machine Support
- Harvard University
October 2016, Institute for Theory and Computation (ITC) - Harvard–Smithsonian Center for Astrophysics
- Google, Digital Science, Nature Publishing Group, O'Reilly
July 2016, Interdisciplinary SciFoo conference
- US National Science Foundation, Washington DC
April 2016; "Big Data in Remote Sensing: Challenges & Solutions" seminar speaker
- Harvard University, Center for Astrophysics
April 2016
- University of New Hampshire
October 2015; colloquium speaker
- LIGO Lab (Laser Interferometer Gravitational-Wave Observatory)
October 2014; seminar speaker: "Computer-Aided Discovery: Scalable Machine Assistance for Big Data Science"
- Harvard University
September 2014, seminar speaker: "Big Computing and Computer-Aided Discovery in Astronomy"
- American Astronomical Society Meeting, Boston
June 2014, Invited Speaker: "Big Computing in Astronomy"
- Boston College, Newton
September 2013, seminar speaker: "Mobile Devices in Space Weather Monitoring"
- CERN – European Laboratory for Particle Physics and Nuclear Research
July 2012 (after discovery of new boson) Geneva, Switzerland - Research seminar invited speaker:
"Dealing with BIG Data - Exploiting the Potential of Multicore Parallelism and Auto-Tuning"
- Centre For Research On Evolution, Search And Testing – London, UK
March 2012 University College London - Research seminar invited speaker
- Linkoping University, Sweden
November 2011 Research seminar invited talk on Multicore Software Engineering
- Academy of Sciences – Heidelberg, Germany
November 2011 Networking meeting with academy members as part of the Landesstiftung elite program for Post-docs
- University of Vienna, Austria
November 2011 Invited talk: "Advances in Automatic Performance Tuning on Multicore"
- National Taiwan University, Taipei, Taiwan
September 2011 - Invited talk
- Oracle, Redwood Shores, California, USA
June 2011 Invited talk: "Perspectives for Database Systems and Programming Languages in the Multicore Age"
- Intel, Santa Clara, California, USA
June 2011 Invited talk: "New Directions in Automatic Performance Tuning"
- US Department of Energy
August 2010 Invited talk at CsCADS
- Microsoft Research, Redmond, USA
April 2010 Invited talk on Multicore Software Engineering
- IT summit of the German government (hosting chancellor Angela Merkel)
December 2009 Presentation of Multicore Software Engineering Young Investigator Group
- Microsoft Research, Redmond, USA
September 2009 Invited talk: "Empirical Lessons for Multicore Software Development"
- University of Texas at Austin, Texas, USA
September 2009 Invited talk: "Transactional Memory vs. Locks - A Comparative Case Study"
- IBM T.J. Watson Research Center, New York, USA
August 2009 Invited talk: "Multicore for everyone? Implications for Software Engineering."
- Accenture Technology Labs, San José, California, USA
March 2009 Invited talk: "Towards Industrial-Strength Multicore Software Engineering. How far are we?"
- Intel, Santa Clara, California, USA
March 2009 Invited talk: "Multicore Software Engineering - From Case Studies to Research Questions"
- Intel, Santa Clara, California, USA
February 2009 Invited talk: "Does Transactional Memory keep its promises? Results from an empirical study"
- Stanford University, USA
February 2009 Invited talk: "Multicore Software Engineering - From Case Studies to Research Questions"
- Sun Microsystems Labs, Menlo Park, California, USA
February 2009 Invited talk: "Multicore Software Engineering - From Case Studies to Research Questions"
- Heidelberg Innovation Forum, Heidelberg, Germany
November 27, 2007 Patent presentation "Automated Visual Web Page Testing"
- Fraunhofer Institut für Experimentelles Software Engineering (IESE), Kaiserslautern, Germany
August 18, 2005 Invited Talk: "Product Lines in E-Learning"
Community Service
- Program Committees
AAAI Conference on Artificial Intelligence (AAAI-19) Workshop on Engineering Dependable and Secure Machine Learning Systems (EDSMLS'19); AAAI Conference on Artificial Intelligence (AAAI-18) Workshop on Engineering Dependable and Secure Machine Learning Systems (EDSMLS'18); (AstroInfo'16) Astroinformatics 2016; (ParCo'17,'15, '13,'11) International Conference on Parallel Computing; (SAC'16-MUSEPAT) 31st ACM/SIGAPP Symposium on Applied Computing - Multicore Software Engineering, Performance, Applications and Tools track; (SAC'15) 30th ACM Symposium On Applied Computing, 2015; (SBAC-PAD'14) 26th International Symposium on Computer Architecture and High Performance Computing, 2014; (ICSE’14) 36th ACM/IEEE Intl’ Conference on Software Engineering; (IPDPS’14,'13) 27th IEEE Intl’ Parallel and Distributed Processing Symposium; (MUSEPAT',13, 12) Intl’ Conf. on Multicore Software Engineering, Performance, and Tools; 2nd Intl’ Conference Facing the Multicore-Challenge, 2011; (PADTAD/ISSTA’11) 9th ACM Workshop on Parallel and Distributed Systems: Testing, Analysis, and Debugging; (TRANSACT/FCRC'11) 6th ACM SIGPLAN Workshop on Transactional Computing; (iWAPT'10) 5th International Workshop on Automatic Performance Tuning; (MuCoCoS'10) 3rd International Workshop on Multi-Core Computing Systems; (ICPP'09) 38th International Conference on Parallel Processing; (IWMSE08-IWMSE11) International Workshop on Multicore Software Engineering
- External Reviewing Boards
(ICS'14) 28th International Conference on Supercomputing; (PPoPP'11,13, 14) ACM Principles and Practice of Parallel Programming; (SIGCSE'05–'09) ACM Technical Symposium on Computer Science Education; (ItiCSE'05–'09) Annual Conf. on Innovation and Technology in Computer Science Education
- Journal Reviews
ACM Transactions on Embedded Computing Systems; IEEE Transactions on Software Engineering; IEEE Transactions on Parallel and Distributed Systems; IEEE Transactions on Reliability; IEEE Communications; Elsevier Journal of Parallel Computing; Elsevier Journal of Parallel and Distributed Computing; Elsevier Journal of Web Semantics; Elsevier Information and Software Technology; Elsevier International Journal of Information Management; IBM Journal of Research and Development; IET Software; IJES Special Issue on Reconfigurable and Multi-core Embedded Systems; MDPI Sensors; Springer Empirical Software Engineering; Springer Distributed and Parallel Databases; Springer Computing Journal; Wiley Software: Practice & Experience; Wiley Software Testing, Verification, and Reliability; Wiley Software: Evolution and Process; Wiley Concurrency and Computation: Practice and Experience
- National Research Fund Proposal Reviews
NASA; US National Science Foundation (NSF); German National Science Foundation (DFG); Swiss National Science Foundation (SNF); Netherlands Organisation for Scientific Research (NWO)
- Advisory Committees, Panels
NASA; US National Science Foundation (NSF); Intelligent Systems in Geosciences (NSF research coordination network, is-geo.org)
- Instrument Design Reviews / CDR
ASTRON, Netherlands
- Organization of Conferences and Workshops
International Conference on Multicore Software Engineering, Performance, and Tools (MSEPT'12); (IWMSE 2008-2011) International Workshop on Multicore Software Engineering, co-located with ICSE (International Conference on Software Engineering); WI2007
Awards
- IPDPS 2017 - BEST PAPER AWARD
31st IEEE International Parallel & Distributed Processing Symposium, Orlando, FL, 2017
- Intel Leadership Award
For "Leadership in the Intel Academic Community and the Advancement of Parallel Computing"
awarded by Intel May 2009 during the 31st ACM/IEEE International Conference on Software Engineering (ICSE 2009), Vancouver, Canada
- Sun Microsystems Concurrent Computing Community Award
- KIT Computer Science Faculty Teaching Award
Awarded by president of KIT Press release in German
- Many-core Applications Research Community Symposium
- Microsoft Research Faculty Fellowship Finalist
Press Releases, Interviews, Videos
- MIT News, September 26, 2018: Software finds the best way to stick a Mars landing
- NASA, Washington DC, June 13, 2018: NASA TV Interview by Earth Science Technology Office
- Experian Data Science #DataTalk: June 7, 2018: Using Machine Learning to Find Planets & Other Astronomical Objects
- MIT News, March 29, 2018: Computer searches telescope data for evidence of distant planets; Machine-learning system uses physics principles to augment data from NASA crowdsourcing project
- APS Physics 11(4), January 9, 2018: Travel Advice for a Trip to the Red Planet
- Science Magazine 344(6179), April 2014
- Explaining Computer Science to middle school students in Massachusetts, 2012 (YouTube)
- Computerworld.ch, June 4, 2012
- Pervasive Monitoring, March 15, 2012 (YouTube, Interview in German)
- MM Logistik, February 9, 2012
- Motor-Traffic, February 8, 2012
- automotiveIT, February 8, 2012
- KIT press release, Uni-Online, IDW, February 8, 2012
- TV interview for channel 9, Microsoft Research, May, 2011
- Keynote Speech at ICCS/iWAPT, KIT Computer Science Faculty Press Release, May, 2011
- Multicore Talk at KIT (published at YouTube): February, 2011
- Faculty Teaching Award - KIT Computer Science Faculty Press Release, Nov 2010
- KIT Computer Science Faculty Press Release, Nov 24, 2009
- TV Interview for Intel, Nov 6, 2009
- IDW, May 5, 2008
- Computerzeitung March 8, 2004, No. 11, p. 8
- Computerzeitung July 9, 2004, No. 30, p. 21
Teaching Experience
- MIT
- 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: 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 - Scikit Data Access: Data Interfaces for Python, github.com/MITHaystack/scikit-dataaccess (Python, MIT License)
- Scikit Discovery: Data Discovery for Python, github.com/MITHaystack/scikit-discovery (Python, MIT License)
- Science Case Studies: Code for Scientists and Educators, github.com/MITHaystack/science-casestudies (Jupyter/Python notebooks, MIT License)
- CorrelX: A Cloud-Based Software Correlator for Very Long Baseline Interferometry (VLBI), github.com/MITHaystack/CorrelX (Hadoop, MIT License)
- MCheetah: Data Processing Framework for Android Phones with Multicore CPUs/GPUs, github.com/MITHaystack/mcheetah (Android/Java, MIT License)
- PyInSAR: Data Tools for Interferometric Synthetic-Aperture Radar Satellite Dat, github.com/MITeaps/pyinsar (Python, MIT License)
- Teaching repository: Python - A Crash Course by Example: github.com/vpankratius/teaching/tree/master/python
Academic Genealogy :-)
Thanks to the American Mathematical Society and Mathematics Genealogy Project tracing back PhD advisor's advisors, now I know that the following persons are among my academic ancestors: Desiderius Erasmus, Nicolaus Copernicus, as well as Carl Friedrich Gauß, Gottfried Wilhelm Leibniz, and others.
Have fun and check out the full graph:-)
[Google Plus Profile]
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Keynotes
