Massimo Minervini – PhD

Massimo Minervini
PhD
Personal Information
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Nationality
Date of birth
+39 320 1570860
[email protected]
www.imtlucca.it/massimo.minervini
Italian
16 April 1984
Education
2015 Ph.D. in Computer Science and Engineering, IMT School for Advanced Studies, Italy.
Advisor: Prof. Sotirios A. Tsaftaris
Thesis: Application-aware image compression and sensing platform for plant phenotyping
2015 Course on Arduino basics, Ass. Creiamo in 3D, Pisa, Italy.
2013 RegML Summer School, University of Genoa, Italy.
Regularization Methods for High Dimensional Learning
2010 M.Sc. in Computer Science, University of Bari, Italy.
Advisor: Prof. Corrado Mencar
Thesis: Serendipity injection in a fuzzy recommender system
Mark: 110/110 cum laude
2008 B.Sc. in Computer Science, University of Bari, Italy.
Advisor: Prof. Giovanni Semeraro
Thesis: Modelling natural language knowledge sources: the case of proverbs and common sayings
Mark: 110/110 cum laude
2007 Course on Python and Django programming, SistemData S.r.l., Bari, Italy.
2002 Course in memory techniques and speed reading, High Consulting S.r.l., Bari, Italy.
2002 Scientific High School Diploma, Liceo Scientifico Statale “A. Scacchi”, Bari, Italy.
Mark: 100/100
2002 European Computer Driving Licence (ECDL), Euroaccademia S.a.s., Bari, Italy.
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Areas of Expertise
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Computer vision;
Lossy image and video compression;
Machine learning and pattern recognition;
Plant phenotyping.
Work Experience
Jul. 2015 – Post-doc researcher, Pattern Recognition and Image Analysis, IMT School for Advanced
Jul. 2016 Studies, Lucca, Italy.
Research Advisor: Prof. Sotirios Tsaftaris.
3 Research activity funded by the EU’s FP7 project PHIDIAS (Phenotyping with a Highthroughput, Intelligent, Distributed, and Interactive Analysis System).
Oct. 2015 – Computer vision engineer, GiffizeTeam, Pisa, Italy.
Jun. 2016
3 Designed mobile app Giffize to automatically create animated GIFs from the image gallery.
3 Developed in Java and OpenCV on Android platform an algorithm for efficient and parallel
processing of image gallery.
Mar. 2011 – Doctoral researcher, Pattern Recognition and Image Analysis, IMT School for Advanced
Jul. 2015 Studies, Lucca, Italy.
Research Advisor: Prof. Sotirios Tsaftaris.
3 Investigated computer vision solutions for image-based plant phenotyping and developed
application-aware image compression strategies on resource constrained devices.
Nov. 2013 – Research intern, Institute of Plant Sciences (IBG-2), Forschungszentrum Jülich, Germany.
Feb. 2014 Research Advisor: Dr. Hanno Scharr.
3 Investigated state-of-the-art image and video compression standards for plant phenotyping.
2010 Graduate student, Computational Intelligence Lab, University of Bari, Italy.
Research Advisor: Prof. Corrado Mencar.
3 Developed an algorithm to incorporate the concept of serendipity in the film recommender
system ProfileMatcher, based on fuzzy user profiling and inference methods.
2009 Network Administrator, Department of Geophysics, University of Bari, Italy.
Reference: Prof. Luigi Pennetta.
3 Maintained Linux and Windows NT server and network of the geomorphology lab.
2008 Undergraduate student, Semantic Web Access and Personalization, Uni. of Bari, Italy.
Research Advisor: Prof. Giovanni Semeraro.
3 Modelling textual knowledge sources, such as proverbs and common sayings, in a system
(OTTHO – On the Tip of my THOught) that solves a language game, using text mining and
natural language processing techniques.
2005 Call centre operator, Fastweb, Bari, Italy.
3 Technical help desk and customer service, 80-hour training course.
Technical Skills
Development Matlab, Java, Python, C/C++, SQL,
Frameworks OpenCV, BisQue, Joomla, Django
LATEX, HTML, CSS, XML
Systems GNU/Linux, Raspberry Pi, Arduino, Android, Canon CHDK
Compression HEVC, JPEG, JPEG 2000, H.264, VP9,
Standards WebP, JPEG-LS, PNG
Languages
Italian Native language
English Proficient
Excellent writing, understanding, and speaking skills.
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German Basic (A2)
Goethe-Zertifikat A2: Start Deutsch 2.
Awards
2013 Recipient of the Academic Research Program Grant from PiCloud, Inc.
Presentations and Talks
2016 Research seminar at the Department of Agronomy, Food, Natural resources, Animals and
Environment (DAFNAE) of the University of Padova, Italy.
2016 Keynote and hands-on session at the 5th Int. Workshop on Image Analysis Methods for
the Plant Sciences, Angers, France.
2016 Oral presentation at the Italian Plant Phenotyping Initiative workshop, Rome, Italy.
2015 Oral presentation at the Int. Conf. on Visual Communications and Image Processing
(VCIP), Singapore.
2015 Poster presentation at the EPPN Plant Phenotyping Symposium, Barcelona, Spain.
2015 Poster presentation at the 10th European Researchers’ Night, Lucca, Italy.
2015 Oral presentation at the 26th British Machine Vision Conference (BMVC), Swansea, UK.
2014 Poster presentation at the 21st Int. Conf. on Image Processing (ICIP), Paris, France.
2013 Oral presentations at the 8th Int. Symp. on Image and Signal Processing and Analysis
(ISPA), Trieste, Italy.
2010 Poster presentation at the 11th AI*IA Symp. on Artificial Intelligence, Brescia, Italy.
Professional Service
2016 Lecture on image acquisition and storage at the University of Padova, Italy, as part of the
course entitled "Interpretazione di immagini telerilevate per l’analisi fenomica delle piante"
of the GIScience master.
2016 Chairman of the “2D imaging” session at the 5th Int. Workshop on Image Analysis Methods
for the Plant Sciences (IAMPS), Angers, France.
2015 Program committee member of the 2nd Computer Vision Problems in Plant Phenotyping
(CVPPP) workshop, held at the British Machine Vision Conf. (BMVC), Swansea, UK.
2014 – 2015 Organizing committee member of the 1st and 2nd Leaf Segmentation Challenge (LSC) and
the 1st Leaf Counting Challenge (LCC), hosted by the Computer Vision Problems in Plant
Phenotyping (CVPPP) workshops.
since 2012 Referee for international journals (IEEE Trans. on Image Processing, IEEE J. of Biomedical
and Health Informatics, IET Computer Vision, Machine Vision and Applications, PLOS
ONE, J. of Multimedia, Ecological Informatics, Int. J. of Information and Computer
Security) and conferences (European Conf. on Computer Vision, IEEE Int. Conf. on Visual
Communications and Image Processing, British Machine Vision Conf.).
Publications
[1] M. Minervini, M. V. Giuffrida, P. Perata, S. A. Tsaftaris, “Phenotiki: Affordable and open
image-based phenotyping of rosette plants,” The Plant Journal, 2016. Under review.
[2] S. A. Tsaftaris, M. Minervini, H. Scharr, “Machine learning for plant phenotyping needs
image processing,” Trends in Plant Science, 2016. In press.
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[3] M. Minervini, A. Fischbach, H. Scharr, S. A. Tsaftaris, “Finely-grained annotated datasets
for image-based plant phenotyping,” Pattern Recognition Letters, vol. 81, pp. 80–89, Oct.
2016. [PDF]
[4] H. Scharr, M. Minervini, A. P. French, C. Klukas, D. M. Kramer, X. Liu, I. Luengo Muntión,
J.-M. Pape, G. Polder, D. Vukadinovic, X. Yin, S. A. Tsaftaris, “Leaf segmentation in
plant phenotyping: a collation study,” Machine Vision and Applications, vol. 27, no. 4,
pp. 585–606, May 2016. [PDF]
[5] M. Minervini, S. A. Tsaftaris, “Classification-aware distortion metric for HEVC intra coding,”
in Int. Conf. on Visual Communications and Image Processing (VCIP), Dec. 2015. [PDF]
[6] M. Minervini, C. Rusu, M. Damiano, V. Tucci, A. Bifone, A. Gozzi, S. A. Tsaftaris, “Largescale analysis of neuroimaging data on commercial clouds with content-aware resource
allocation strategies,” International Journal of High Performance Computing Applications,
vol. 29, no. 4, pp. 473–488, Nov. 2015. [PDF]
[7] M. Minervini, H. Scharr, S. A. Tsaftaris, “The significance of image compression in plant
phenotyping applications,” Functional Plant Biology, vol. 42, no. 10, pp. 971–988, Sep.
2015. [PDF]
[8] M. Minervini, M. V. Giuffrida, S. A. Tsaftaris, “An interactive tool for semi-automated leaf
annotation,” in Proc. of the Computer Vision Problems in Plant Phenotyping (CVPPP)
Workshop, pp. 6.1–6.13. BMVA Press, Sep. 2015. [PDF]
[9] M. V. Giuffrida, M. Minervini, S. A. Tsaftaris, “Learning to Count Leaves in Rosette Plants,”
in Proc. of the Computer Vision Problems in Plant Phenotyping (CVPPP) Workshop, pp.
1.1–1.13. BMVA Press, Sep. 2015. [PDF]
[10] M. Minervini, H. Scharr, S. A. Tsaftaris, “Image analysis: The new bottleneck in plant
phenotyping [Applications Corner],” IEEE Signal Processing Magazine, vol. 32, no. 4, pp.
126–131, Jul. 2015. [PDF]
[11] M. Minervini, C. Rusu, S. A. Tsaftaris, “Computationally efficient data and application
driven color transforms for the compression and enhancement of images and video,” in
Color Image and Video Enhancement, pp. 371–393. Springer, 2015, ch. 13. [PDF]
[12] M. Minervini, C. Rusu, S. A. Tsaftaris, “Unsupervised and supervised approaches to color
space transformation for image coding,” in 21st Int. Conf. on Image Processing (ICIP),
Oct. 2014, pp. 5576–5580. [PDF]
[13] M. Minervini, M. A. Abdelsamea, S. A. Tsaftaris, “Image-based plant phenotyping with
incremental learning and active contours,” Ecological Informatics, vol. 23, pp. 35–48, Sep.
2014. [PDF]
[14] H. Scharr, M. Minervini, A. Fischbach, S. A. Tsaftaris, “Annotated image datasets of
rosette plants,” Forschungszentrum Jülich GmbH, Germany, Tech. Rep. FZJ-2014-03837,
Jul. 2014. [PDF]
[15] M. Minervini, C. Rusu, S. A. Tsaftaris, “Learning computationally efficient approximations
of complex image segmentation metrics,” in 8th Int. Symposium on Image and Signal
Processing and Analysis (ISPA), Sep. 2013, pp. 60–65. [PDF]
[16] M. Minervini, S. A. Tsaftaris, “Application-aware image compression for low cost and
distributed plant phenotyping,” in 18th Int. Conf. on Digital Signal Processing (DSP),
Jul. 2013, pp. 1–6. [PDF]
[17] M. Minervini, M. Damiano, V. Tucci, A. Bifone, A. Gozzi, S. A. Tsaftaris, “Mouse
neuroimaging phenotyping in the cloud,” in 3rd Int. Conf. on Image Processing Theory,
Tools and Applications (IPTA), Oct. 2012, pp. 55–60. [PDF]
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[18] G. Casalino, N. Del Buono, M. Minervini, “Nonnegative matrix factorizations performing
object detection and localization,” Applied Computational Intelligence and Soft Computing,
vol. 2012, Jan. 2012. [PDF]
[19] D. Dell’Agnello, A. M. Fanelli, C. Mencar, M. Minervini, “Serendipitous fuzzy item
recommendation with ProfileMatcher,” in Fuzzy Logic and Applications, vol. 6857, Aug.
2011, pp. 220–227. [PDF]
[20] M. Minervini, “Serendipity injection in a fuzzy recommender system,” in Abstract Booklet
of the First AI*IA Doctoral Consortium, Brescia, Italy, Dec. 2010.
[21] N. Del Buono, M. Minervini, “Nonnegative matrix factorizations performing object detection,” Dept. of Mathematics, University of Bari, Italy, Tech. Rep. 14/10, 2010.
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