Introducing myself

Hi, my name is Christina Pavlopoulou. I was born in Athens, capital of Greece. Currently, I am a Ph.D student in Computer Science at the University of California, Riverside. I am member of the Databases Lab under the supervision of Professor Vassilis J. Tsotras.

In 2015, I completed the master program Computer Science and Technology in the Computer Engineering and Informatics Department of the University of Patras, Greece. I was member of Sense Lab researching team under the supervision of Associate Professor Sotiris Nikoletseas and I worked at the IoT Lab Project.

In 2013, I completed my undergraduate studies at the same department.

In this site, you can find information about my education and my research interests

About Me

Here, you can find my resume CV

EDUCATION

• 2015-now:PhD student in Computer Science at University of California, Riverside
• 2013-2015:Master student in Computer Science and Technology at Computer Engineering and Informatics Department
• 2008-2013: Undergraduate student at the Department of Computer Engineering and Informatics

SKILLS

• Computer Skills

Java, C, C++, Python, Prolog, PHP, SQL, Assembly, HTMl, Javascript, CSS, XML

Matlab, Eclipse

Android

• Languages

Certificate of Proficiency in English (Cambridge, Michigan)

Sorbonne(French)

Greek (native)

Teaching

During my master studies at the Department of Computer Engineering and Informatics I was a teaching assistant at the following courses:

• Databases Laboratory
• Introduction to C laboratory
• Architecture laboratory
• Object Oriented Programming laboratory (Java)

Research Interests

• Wireless Sensor Networks
• Machine Learning
• Pattern Matching
• Feature Extraction
• Neural Networks
• Data Analysis

IoT Lab Project

As member of the IoT Lab project (which is a European research program) I develop android applications which recognize the (smartphone)user's activity. Using funf framework to schedule the smartphone's sensors (accelerometers, gyroscopes) and by processing suitably their readings, it is possible to create a classification model using weka to infer the user's motion (sitting, lying, walking, running).

Publications

Christina Pavlopoulou, Gabriel Filios and Sotiris Nikoletseas. Efficient Parameterized Methods for Physical Activity Detection using only Smartphone Sensors. The 13th ACM International Symposium on Mobility Management and Wireless Access (Mobiwac 2015).

Feel free to contact me

• Address

Aliakmonos 22, Patras, GR-26442

• Email

pavlopoul@ceid.upatras.gr

cri_cri2911@hotmail.com

• Social

Skype name: christina.pavlopoulou1

Some useful links are below:

• My Fiance's Homepage
• University of Patras
• Department of Computer Engineering and Informatics
• Associate Professor Sotiris Nikoletseas
• IoT Lab Project