Thesis Preparatory Talks – Timetable

Thomas Gatt, Wednesday 28th May, 10.00 – 10.30am, Study Room – "What is a thesis?"

What is a thesis? Is it just another assignment?

Last year, during these talks, as students, our main question was – "But what really is a thesis? What can I do?"

Key points: Examples from personal experience; Description of various sections in a thesis; LaTeX; and Time management tips.


Mario Mallia Milanes, Wednesday 28th May, 1.30 – 3.30pm, Study Room – "Research Methods"

How to conduct research for your project.

Key points: Where to start from, how to organise your thoughts, how to write, proper analysis of data, how to come to a proper conclusion.


Andrew Cortis, Thursday 29th May, 2.30 – 4pm, Administration Hall (near student house) – "Reading a Paper"

A description of the different types of papers to read and how to tackle reading papers for your thesis.

Key points: Impact Factor, finding good papers, using references for finding more papers, tackling difficult papers, while saving time.


Chris Farrugia, ​Friday 30th May, 2.00 – 3pm,  Study Room – "Possible Research Ideas for Networking Students"

Overview of the following possible research ideas:

  1. DDOS Detection using Netflow Data

  2. Video Matrix Switch using managed Ethernet Switches

  3. NTP-based DDOS attacks: A Case For Switching to SNTP

  4. Detection of NAT Traversal Capabilities

  5. SIP Based Full-Duplex Wireless Intercom

Key points: Multimedia Networking; Denial of Service Attacks; NAT


Robert Abela, Thursday 5th June, 2.00 – 3.00pm, Study Room – "Research in Security"

A walkthrough of the latest developments in security and the research ideas that can be used in your dissertation.

A review of previous projects in the area.

Key points: Security: internet, software, network


Frankie Inguanez, Friday 6th June, 1.00 – 3.00pm,  Administration Hall (near student house), – "Research in Business Intelligence"

A review of possible research titles in the area of Business Intelligence, which includes amongst other topics optimization algorithms, recommender systems and database technologies.

Key points: Different research approaches; past, current and potential research titles; starting points for research.​