Damiano Carra

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fototessera, October 3, 2018
Position
Associate Professor
Academic sector
ING-INF/05 - INFORMATION PROCESSING SYSTEMS
Research sector (ERC)
PE6_2 - Computer systems, parallel/distributed systems, sensor networks, embedded systems, cyber-physical systems

Office
Ca' Vignal 2,  Floor 1,  Room 82
Telephone
+39 045 802 7059
E-mail
damiano|carra*univr|it <== Replace | with . and * with @ to have the right email address.
Personal web page
http://profs.sci.univr.it/~carra/

Office Hours

Wednesday, Hours 9:00 AM - 11:00 AM,   Ca' Vignal 2, Floor 1, room 82

Curriculum

The main research topics of Damiano Carra are:
  • BigData systems: design, analysis and evaluation of large scale data processing systems;
  • Distributed Systemsi:anaysis of the Content Delivery Networks (CDNs), with a focus on cache management policies.
His work has been published on international journals related to network and distributed systems (IEEE Transactions on Parallel and Distributed Systems, IEEE Transaction on Computers, IEEE Transaction on Cloud Computing), and international conferences, such as IEEE Infocom, IEEE Cloud, IEEE BigData.

Modules

Modules running in the period selected: 48.
Click on the module to see the timetable and course details.

Course Name Total credits Online Teacher credits Modules offered by this teacher
Master's degree in Computer Science and Engineering Big data (2022/2023)   6  eLearning 6 
Bachelor's degree in Computer Science Computer Networks (2022/2023)   6  eLearning 6 
Master's degree in Data Science Mining Massive Datasets (2022/2023)   6  eLearning 6 
Master's degree in Computer Science and Engineering Big data (2021/2022)   6  eLearning 6 
PhD in Computer Science Big Data (2021/2022)   3  eLearning 3 
Bachelor's degree in Computer Science Computer Networks (2021/2022)   6  eLearning 6 
Master's degree in Data Science Mining Massive Datasets (2021/2022)   6  eLearning 6 
PhD in Computer Science Big Data Systems and Analytics (2020/2021)   5  eLearning 5 
Bachelor's degree in Computer Science Computer Networks (2020/2021)   6  eLearning 6 
Master's degree in Computer Science and Engineering Data-intensive computing systems (2020/2021)   6  eLearning 6 
Master's degree in Data Science Mining Massive Datasets (2020/2021)   6  eLearning 6 
Bachelor's degree in Computer Science Computer Networks (2019/2020)   6  eLearning 6 
Master's degree in Computer Science and Engineering Data-intensive computing systems (2019/2020)   6  eLearning 5  (Teoria)
1  (Laboratorio)
PhD in Computer Science Doctoral lessons (2019/2020)   50  eLearning 2 
Bachelor's degree in Computer Science Network programming and security (2019/2020)   6  eLearning 2  (Teoria)
1  (Laboratorio)
Bachelor's degree in Computer Science Computer Networks (2018/2019)   6  eLearning 6 
Master's degree in Computer Science and Engineering Data-intensive computing systems (2018/2019)   6  eLearning 1  (Laboratorio)
5  (Teoria)
Bachelor's degree in Computer Science Computer Networks (2017/2018)   6  eLearning 5 
Master's degree in Computer Science and Engineering Data-intensive computing systems (2017/2018)   6  eLearning 6 
Bachelor's degree in Computer Science Network programming and security (2017/2018)   6    4 
Bachelor's degree in Computer Science Computer Networks (2016/2017)   6    5 
Master's degree in Computer Science and Engineering Data-intensive computing systems (2016/2017)   6    6 
Bachelor's degree in Computer Science Network programming and security (2016/2017)   6    4 
Bachelor's degree in Computer Science Computer Networks (2015/2016)   6    6 
Master's degree in Computer Science and Engineering Data-intensive computing systems (2015/2016)   6    6 
Bachelor's degree in Computer Science Network programming and security (2015/2016)   6    3 
Bachelor's degree in Computer Science Computer Networks (2014/2015)   6    6 
Master's degree in Computer Science and Engineering Data-intensive computing systems (2014/2015)   6    6 
Bachelor's degree in Computer Science Network programming (2014/2015)   6    1  (laboratorio)
2  (Teoria)
PAS C310 Industrial IT workshop Sistemi operativi e reti (2014/2015)   4    2  RETI
Bachelor's degree in Computer Science Computer Networks (2013/2014)   6    6 
Master's degree in Computer Science and Engineering Data-intensive computing systems (2013/2014)   6    6 
Bachelor's degree in Computer Science Computer Networks (2012/2013)   6    6 
Master's degree in Computer Science and Engineering Multimedia embedded systems (2012/2013)   6    6 
Bachelor's degree in Computer Science Computer Networks (2011/2012)   6    6 
Master's degree in Computer Science and Engineering Multimedia embedded systems (2011/2012)   6    6 
Master's degree in Computer Science and Engineering Networked embedded systems (2010/2011)   6    6 
Bachelor's degree in Business Administration (Vicenza) Basic Information Technology Skills (2009/2010)   2    2 
Bachelor's degree in Computer Science Computer Networks (2009/2010)   6    6 
Bachelor's degree in Sport and Exercise Science Information Technology Skill (2009/2010)   2    2 
Master's degree in Computer Science and Engineering Networked embedded systems (2009/2010)   6    6 
Bachelor's degree in Computer Science Operating Systems (2009/2010)   12    3  [indirizzo generale] (Laboratorio)
Bachelor in Computer Science (until 2008-2009 academic year) Computer Networks (2008/2009)   5    1  Laboratorio
4  Teoria

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Research groups

Big Data Analytics
This research group deals with several topics regarding the management and analysis of big spatio-temporal datasets.
INdAM - Research Unit at the University of Verona
We collect here the scientific activities of the Research Unit of Istituto Nazionale di Alta Matematica INdAM at the University of Verona
Research interests
Topic Description Research area
Data intensive scalable computing Analysis, evaluation and design of large scale parallel systems, with particular emphasis on scalable data processing, Big Data systems, and Cloud Computing Information Systems
Information systems applications
Networking systems Design techniques for networking systems, particularly devoted to: - Protocol Design and Architectures - Performance Evaluation - Network Measurement and characterization - Overlay Networks Cyber-physical systems
Network architectures
Networked embedded systems Design techniques for networked embedded systems, particularly devoted to: - networked embedded systems co-design - networked embedded systems co-simulation - QoS-based design - M2M and sensor network design Cyber-physical systems
Embedded and cyber-physical systems
Projects
Title Starting date
Distributed Optimization for Large-scale Statistical Modeling 2/26/19
vEyes Wear: open hardware and software wearable platform 1/15/18
Computer Engineering for Industry 4.0 1/1/18
High performing computational models for biomedical information extraction and integration 1/1/17
Integrating national and international spontaneous adverse drug reaction knowledge bases for pattern discovery in pharmacovigilance. 1/1/16
Tools for cOoperating Objects applications Life-cycle (TOOL) 3/1/10
Piattaforme di servizio P2P: rete logica, requisiti e strumenti (PRIN 2008) 1/27/10



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