Computer Science Graduate

Giacomo Serafini

Date of Birth: **.**.**** Place of Birth: San Don` di Piave (Venezia), Italy

a Nationality: Italian

Address: Via Risorgimento 16 30027 San Don` di Piave (Venezia), Italy

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Tel: (0039) 348-***-**** Email: *********@*****.***

EDUCATION

University of Udine, Italy December 2013

M.Sc. in Computer Science with score 100/110

Thesis: “Music Genre Recognition through Supervised Learning”

Investigated the problem of music genre classification through machine learning algorithms, with a focus on

ensemble learning. Conducted experiments on frame-level vs. segment-level audio features, and the effects of

segment length on classification accuracy

University of Leeds, England September 2009 - June 2010

Erasmus Student at the School of Computing

University of Udine, Italy October 2008

B.Sc. in Computer Science with score 92/110

Thesis: “Analysis and Synthesis of Sound Textures”

Studied the concept of sound textures, with a focus on Wavelet Tree Learning

SELECTED COURSEWORK AND ACADEMIC PROJECTS

Artificial Intelligence, Probability and Statistics, Robotics, Image Processing: Theories and Techniques, Mul-

timedia Systems, Human-Computer Interaction & Advanced Human-Computer Interaction, Operations Re-

search, Psychology of Communication, Web Content Personalization, Advanced Distributed Systems

Operations Research Fall 2013

• Developed Lingo models for solving linear programming, routing, allocation

and scheduling problems

Advanced Human-Computer Interaction Spring 2013

• Investigated gender-based differences in information processing and

cognitive strategies, Virtual Environment navigation, end-user programming and

targeted advertising

• Wrote a research paper describing the main findings and practical implications

Image Processing: Theories and Techniques Winter 2012

• Implemented image processing and segmentation algorithms in Matlab

Artificial Intelligence Spring 2010

• Conducted experiments on image feature extraction and classification with

Matlab and Weka

• Delivered a presentation about the use of Weka for regression analysis

and statistical classification

WORK EXPERIENCE

OSRAM Licht AG, Treviso, Italy Summer 2003

Intern

• Developed Agilent VEE programs for controlling laboratory instruments

SKILLS

Programming Languages Matlab, Haskell, Agilent VEE, L TEX

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Software Weka, Lingo (Optimization Modeling), Microsoft Office

Operating Systems Microsoft Windows, Linux

Languages Italian (native), English (fluent)

English Language Courses Dublin, Ireland (September 2003), Harrogate, England (September 2002),

Canterbury, England (September 2001)

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