Massimo Minervini
Curriculum Vitæ
Í
Piazza San Ponziano, 6
55100 Lucca
Italy
H +39 320 1570860
B [email protected]
www.imtlucca.it/massimo.minervini
minervini
Profile
I am currently a research associate of the Pattern Recognition and Image Analysis (PRIAn) unit at IMT
Institute for Advanced Studies, Lucca, Italy, and therein a Ph.D. candidate in Computer Science and
Engineering. My research activity is focused on the design and implementation of a low cost sensor for
image-based high-throughput plant phenotyping, and the development of a context-aware compression
algorithm on resource-constrained devices. My main interests are in image and video compression, computer
vision, machine learning, and life science applications. My work has spanned a diverse set of topics, at the
intersection of different fields. Topics in which I have produced original contributions include: image and
video compression, rate-distortion optimization, color space transformation, image segmentation, cloud
resource allocation, fuzzy recommender systems, and nonnegative matrix factorizations.
Personal Information
Date of birth April 16, 1984
Nationality Italian
Education
2015 Arduino Basics Course, Ass. Creiamo in 3D, Pisa, Italy.
2013 RegML Summer School, University of Genova, Genova, Italy.
Regularization Methods for High Dimensional Learning.
since 2011 Ph.D. candidate in Computer Science and Engineering, IMT Institute for Advanced
Studies, Lucca, Italy.
Advisor: Prof. Sotirios A. Tsaftaris
Thesis: Application-aware image compression and sensing platform for plant phenotyping
Expected graduation: July 2015
2010 M.Sc. in Computer Science, University of Bari, Bari, Italy.
Advisor: Prof. Corrado Mencar
Thesis: Iniezione di serendipità in un sistema di raccomandazione fuzzy
Mark: 110/110 cum laude
2008 B.Sc. in Computer Science, University of Bari, Bari, Italy.
Advisor: Prof. Giovanni Semeraro
Thesis: Modellazione di sorgenti informative testuali: il caso dei proverbi e dei modi di dire
Mark: 110/110 cum laude
2007 Python and Django Programming Business Course, SistemData S.r.l., Bari, Italy.
2002 Scientific High School Diploma, Liceo Scientifico Statale “A. Scacchi”, Bari, Italy.
Mark: 100/100
Publications
[1] M. Minervini, S. A. Tsaftaris, et al.∗ , “PhenoTiki: A turnkey solution to affordable
image-based plant phenotyping in a box”, manuscript in preparation, 2015.
[2] M. Minervini, S. A. Tsaftaris, “Classification-aware distortion metric for HEVC intra
coding,” submitted to the International Conference on Visual Communications and Image
Processing, 2015.
[3] 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,” submitted for publication to Machine Vision and
Applications, 2015.
[4] M. Minervini, A. Fischbach, H. Scharr, S. A. Tsaftaris, “Finely-grained annotated datasets
for image-based plant phenotyping”, submitted for publication to Pattern Recognition
Letters, 2015.
[5] M. Minervini, H. Scharr, S. A. Tsaftaris, “The significance of image compression in plant
phenotyping applications”, Functional Plant Biology, 2015, to appear.
[6] M. Minervini, H. Scharr, S. A. Tsaftaris, “Image analysis: The new bottleneck in plant
phenotyping”, IEEE Signal Processing Magazine, vol. 32, 2015. [PDF]
[7] 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. Springer, 2015, ch. 12. [PDF]
[8] M. Minervini, C. Rusu, S. A. Tsaftaris, “Unsupervised and supervised approaches to
color space transformation for image coding”, in 21st International Conference on Image
Processing (ICIP), Oct. 2014, pp. 5576–5580. [PDF]
[9] 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, Special Issue on Multimedia in Ecology and Environment. [PDF]
[10] H. Scharr, M. Minervini, A. Fischbach, S. A. Tsaftaris, “Annotated image datasets of rosette
plants”, Forschungszentrum Jülich GmbH, Jülich, Germany, Tech. Rep. FZJ-2014-03837,
Jul. 2014. [PDF]
[11] 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,
2014. [PDF]
[12] M. Minervini, C. Rusu, S. A. Tsaftaris, “Learning computationally efficient approximations
of complex image segmentation metrics”, in 8th International Symposium on Image and
Signal Processing and Analysis (ISPA), Sep. 2013, pp. 60–65. [PDF]
[13] M. Minervini, S. A. Tsaftaris, “Application-aware image compression for low cost and distributed plant phenotyping”, in 18th International Conference on Digital Signal Processing
(DSP), Jul. 2013, pp. 1–6. [PDF]
[14] M. Minervini, M. Damiano, V. Tucci, A. Bifone, A. Gozzi, S. A. Tsaftaris, “Mouse neuroimaging phenotyping in the cloud”, in 3rd International Conference on Image Processing
Theory, Tools and Applications (IPTA), Oct. 2012, pp. 55–60. [PDF]
∗
Tentative author list and title.
[15] 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]
[16] 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]
[17] M. Minervini, “Serendipity injection in a fuzzy recommender system”, in Abstract Booklet
of the First AI*IA Doctoral Consortium, Brescia, Italy, Dec. 2010.
[18] N. Del Buono, M. Minervini, “Nonnegative matrix factorizations performing object detection”, Department of Mathematics, University of Bari, Bari, Italy, Tech. Rep. 14/10, Jul.
2010.
Work Experience
since 2014 Research Associate, IMT Institute for Advanced Studies, Lucca, Italy.
Research Advisor: Prof. Sotirios Tsaftaris.
3 Member of the research unit PRIAn (Pattern Recognition and Image Analysis).
3 Research activity funded by the EU’s FP7 project PHIDIAS (Phenotyping with a Highthroughput, Intelligent, Distributed, and Interactive Analysis System).
Mar. 2011 – Doctoral Researcher, IMT Institute for Advanced Studies, Lucca, Italy.
Feb. 2014 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, Forschungszentrum Jülich, Jülich, Germany.
Feb. 2014 Research Advisor: Dr. Hanno Scharr.
3 Visiting at the Institute of Plant Sciences (IBG-2).
3 Investigated state-of-the-art image and video compression standards for plant phenotyping.
2010 Graduate Student, Computational Intelligence Lab (CILab), 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 laboratory.
2008 Undergraduate Student, Semantic Web Access and Personalization (SWAP) research
group, University 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.
Presentations and Talks
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
2015 Program committee member of the 2nd Computer Vision Problems in Plant Phenotyping
(CVPPP) workshop, held in conjunction with the British Machine Vision Conference
(BMVC), Swansea, UK, September 10, 2015.
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 Transactions on Image Processing, IEEE Journal of Biomedical and Health Informatics, Machine Vision and Applications, Journal of
Multimedia) and conferences (European Conference on Computer Vision).
Awards
2013 Recipient of the Academic Research Program Grant from PiCloud.
Areas of Expertise
{ Lossy image and video compression;
{ Computer vision;
{ Machine learning and pattern recognition.
Languages
Italian Native language
English Proficient
German Basic (A2)
Good writing, understanding, and speaking skills.
Goethe-Zertifikat A2: Start Deutsch 2.
Computer Skills
Operating GNU/Linux, Windows
Systems
Programming Matlab, Python, C/C++, Java, Prolog
Markup LATEX, HTML, CSS, XML
Languages
Graphics and Inkscape, GIMP, ImageJ, Adobe PreVideo miere
Embedded Raspberry Pi, Arduino, Canon CHDK
Systems
Compression HEVC, JPEG, JPEG 2000, H.264, VP9,
Standards WebP, JPEG-LS, PNG
Web Joomla, Django
Frameworks
Databases MySQL, Microsoft Access, SQL