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Ghita Kouadri
UCL
London, United Kingdom
 

Ghita Kouadri Mostefaoui is currently a researcher at the computing laboratory at Oxford University. Her research interests include software engineering, context-aware computing, context-based security, security in general, and e-health.

Before joining Oxford University, she worked as a postdoctoral fellow at the University of Montreal, Canada, and as a research and teaching assistant at the University of Fribourg (Switzerland).

She received her engineering diploma in electronics (with first class honors) from the University of Blida, Algeria in 1996 under the supervision of Yazid Cherfa. In 1999, she earned an MS degree (pre-doctoral school) in computer science from Ecole Polytechnique Fédérale de Lausanne (Switzerland), where she worked in the virtual reality lab led by Daniel Thalmann. Ghita received her PhD in computer science from both the University of Fribourg and Université Pierre et Marie Curie (Paris 6) in 2004.

Ghita has published many papers on security, context, software engineering, and pervasive computing. She also serves as a technical reviewer for several conferences and journals including Symposium on Applied Computing (SAC), IEEE International Symposium on Security in Networks and Distributed Systems (SSNDS), Journal of Science of Computer Programming, IEEE Transactions on Systems, Man and Cybernetics, and ACM SIGecom Exchanges.

Ghita is member of the Institute of Electrical and Electronics Engineers (IEEE), the Association for Computing Machinery (ACM), and the Swiss Informaticians Society (SIS).

Even though Ghita has visited many countries and lived on three different continents, she is very attached to her home country, Algeria. Aside from computer science and electronics, Ghita has a passion for Arabic literature, Islamic art, and music.


     

Pandas for everyone: Python data analysis (2nd ed.)
Chen D., Pearson, Hoboken, NJ, 2023. 512 pp.  Type: Book (0137891156)

Pandas (the name comes from the term “panel data”) is an open-source Python library for manipulating large datasets. Tasks include data cleansing, analysis, and visualization. Pandas extends Python with two new data types: Series and D...

 

 Mathematical foundations of data science using R (2nd ed.)
Emmert-Streib F., Moutari S., Dehmer M., DE GRUYTER, Berlin, Germany, 2022. 408 pp.  Type: Book (3110795884)

Data science aims to extract relevant information from a large dataset for the purpose of decision making. Data science algorithms rely on several mathematical topics. Computationally, these algorithms can be implemented using several programming ...

 

Mathematical logic through Python
Gonczarowski Y., Nisan N., Cambridge University Press, Cambridge, UK, 2022. 284 pp.  Type: Book (1108949479)

Mathematical logic through Python, by Gonczarowski and Nisan, provides a Python implementation of logical concepts and mathematical proofs. It aims at covering major topics for a typical undergraduate course in mathematical logic....

 

A practical guide to digital forensics investigations (2nd ed.)
Hayes D., Pearson, Boston, MA, 2021. 677 pp.  Type: Book (978-7-897599-18-3)

Digital forensics has gained much interest in recent decades. Computing devices are widespread and used for countless applications. As a result, a huge number of digital traces can be fetched, analyzed, and, in case of a crime, used as...

 

 Clean craftsmanship: disciplines, standards, and ethics
Martin R., Pearson, Columbus, OH, 2021. 416 pp.  Type: Book (978-0-136915-71-3), Reviews: (2 of 2)

At first, computer programming was reserved for highly skilled people. Over the decades, programming languages have become more and more user friendly, making them accessible to more people. Nowadays, several countries around the world are general...

 
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