First Year Employability Lectures 2018-2019

This year the Employability Lectures Series runs every Monday morning from 11:00 to 12:00 in room CG76.


Date and timeSpeakerDetails
08/10/2018Prof. Balbir Barn (Middlesex University)Computer Science at Middlesex: Reasons to be cheerful.

In this talk, I will discuss computer science as an important subject and a career, identifying some important industrial trends and how you can maximise your educational experience at Middlesex. I will try and counter some of the issues around employability and what you can do. Finally, I will outline some of the research being conducted by your tutors, how it fits in with the taught programmes and how you can also participate in the co-design of your own learning.
15/10/2018Prof. Juan Augusto (Middlesex University)Introduction to Ubiquitous Computing.

Computer Science is currently transitioning to a different paradigm where computing is much closer to humans wherever they are, anytime, and decisions are related to much more personal dimensions, for example health and well-being. We will briefly glance at the development of this area, its potential and challenges.
22/10/2018Stevan Zivanovic (BTTB Ltd)What it takes to be a Software Tester.

Stevan will describe how he became involved in software testing and why he has found it such an exciting area for over 25 years. We will also explore what software testing is and why it is such a large part of the IT industry.
29/10/2018Prof. Franco Raimondi (Middlesex University)Avoiding errors in complex and critical systems.

An increasing large number of tasks are delegated to computer systems in which software and hardware interact: think of autopilots in modern planes, autonomous cars, medical devices, etc. However, these systems are typically built by humans and are therefore subject to human errors, not only in terms of "software bugs", but also in terms of design mistakes. In this talk I will present some approaches that help in the construction of more robust systems, ranging from testing to model checking, presenting some of my work in the area.
05/11/2018Nadia Alshahwan (Facebook)From academia to Facebook.

This talk will cover what it is like working at Facebook as a software engineer and how that compares to working in academia.
12/11/2018Enrico Scalavino (Google)Designing and Building Products At Google.

The aim of this talk is to give an idea of what Google's approach to product design and engineering looks like, who the people involved are, what their roles are and how they interact with each other.
19/11/2018Nicholas Fitton (Post-Quantum) and Povilas Urbonas(Rolls-Royce)Speaker: Nicholas Fitton (Post-Quantum)

Placements, Networking & Hackathons

This talk will be about the steps I suggest students take when finding a placement, including outreach, networking and interview tactics.

Speaker: Povilas Urbonas (Rolls-Royce)

A year as an intern at Rolls-Royce

Povilas will talk about his experience as a software engineer intern at Rolls-Royce. Also, he will discuss what he did in order to get this placement.
26/11/2018Prof. Chris Huyck (Middlesex University)AI and Computer Science at Middlesex and Beyond

After discussion of Chris' background, the talk will move on to his research, and later onto a discussion about programming, jobs, and jobs in AI. The research discussion will focus on Chris' two main areas of research, neural processing and natural language processing. Neural processing will discuss neurons, cell assemblies, cell assembly robots, neuro-cognitive models and the Human Brain Project. The natural language processing section will discuss information retrieval, conversational agents, and text extraction. Chris will also discuss other AI project he's worked on, and other AI research in the University. The talk will conclude with a discussion about programming, jobs, and jobs in AI.
03/12/2018Nima Fatania (CGI)The sky’s the limit

Academia will teach you what you need, but is this enough to get a job in the tech industry? In this talk, I will discuss my experience as an undergraduate at Middlesex University, particularly the skills and experiences that helped me get a job. Moreover, I will talk about my current role at CGI – Consulting for Government and Industry - and the opportunities available for students and graduates.
10/12/2018Rosie Hyde (Pirum Systems Ltd)Life After University

Life after university can be an exhausting maze. You have to cope with finding a job within a tough job market, learning how to work in a new environment and coping with everything your new life throws at you. In this presentation I will talk about how I’m making my way through it all, give tips on making the whole process easier and reflect on the past year an a half since I started my graduate role.
07/01/2019No Lecture
14/01/2019Dr. Bob FieldsGenerating Insights using Mobile Technology

In this talk I will describe the Insight project, a collaboration between CS, Product Design, and Psychology, that has resulted in research tools for collecting and analysing research data. Insight began as a project to collect rich, near-real-time data from participants in a study focused on mental health, using mobile phone apps and wearable technology. Study participants can be sampled many times over the course of a study, and the data uploaded to a server for later analysis. The tools are being used in a number of studies that go beyond the original focus of mental health. In the talk, I will highlight how projects like Insight can present Computer Scientists some of the most interesting opportunities that arise when working with such a range of different specialists – including designers, psychologists, architects, and healthcare professionals. Finding out about how other experts work and think, and how users make sense of the systems we develop, can be among the most fascinating challenges open to us.
21/01/2019Prof. Richard Bornat (Middlesex University)Learn to program (for Really Good Jobs)

I've lived through five decades of computing innovation, from the time when programs were written in assembly code and every manufacturer had their own programming language(s), then through the development of
machine-independent programming languages, through various times when programming was said to be out of date, through the time when it became a branch of engineering, into the time when the best jobs go to those that can program and think about how programming can be made more efficient. All that time there has been lots of work for programmers. If you can learn to program, you'll do all right. If you find it hard to begin with, don't worry: so does almost everyone else. There are hundreds or thousands of ways to go forward.
28/01/2019Prof. Juan Augusto (Middlesex University)Research as a career

We will look at research as a profession, and the profiles and requirements typically associated with a researcher. This will also include an overview of possibilities opened here at Middlesex University.
04/02/2019Dr. Simon Attfield
(Middlesex University)
Exploring Possible Futures: Human Computer Interaction and Interaction Design

In this talk I will give a short history my career, which has been a winding road indeed, and my research in the area of Human Computer Interaction, Interaction Design, Visualisation and Sensemaking. Through this I will discuss the multidisciplinary nature of Human Computer Interaction and how these areas have developed. These areas have lively career paths in both academia and industry for the interested student. I will try to give a sense of what each of these looks like and how an interested student might move in this direction from an IT related degree at Middlesex University. And if I can, I will unleash a few pearls of wisdom!
11/02/2019Dr. David Windridge (Middlesex University)Machine Learning and its Many Applications

As Associate Professor in Data Science I have research interests in topics like automated classification, autonomous vehicles, cognitive systems and computer vision, as well as interdisciplinary interests ranging across areas as diverse as psychological modelling and proteomic classification. I have consequently worked with a diverse range of industries in my research career including manufacturing, automotive, healthcare, media and defence. At the centre of all of these is the subject of machine learning; the science of getting machines to learn like humans. It will be the argument of my talk that, in employment terms, there is essentially nowhere now that machine learning cannot be applied, particularly given that, in many areas, machine learning can outperform humans at specific tasks. The job of Data Scientist will therefore be something that will be in enormous demand in the coming years, with companies increasingly requiring machine learning for imaginative and generalised use of the data they collect to e.g. provide bespoke services tailored to the individual client. It will therefore be the aim of my talk to give an overview of, and introduction to, machine learning and explore some of its applications in order to give a flavour of its diversity and relevance to contemporary corporate/societal needs.
18/02/2019Prof. Adam Ogilvie-Smith (CGI)
Working in Technology

Adam will first look briefly at the role of technology in our lives, and what it can do. From there he will discuss in more depth how companies develop technology, and hence examine the work that needs to be done and thus the variety of jobs available. He will end with thoughts for people looking to make the jump from university to employment in technology.
25/02/2019Andrea Magnorsky (Goodlord)
04/03/2019Russell Weetch (SmXi)
Blockchain and the opportunities it presents

We will be looking at Blockchain technology, what it is, how it works, what the employment opportunities are and what you need to make the most of them.
11/03/2019Armando Pesenti Gritti (EngageHub)Title:From Student to Software Engineer: 5 lessons learned so far

Abstract: When you are starting your career in any field, you probably have high hopes but don’t really know what to expect. In this talk, I will discuss what I’ve learned so far from my experience of transition into work life by presenting 5 serious (but common among students) misconceptions I had to overcome about being a Software Engineer.
18/03/2019Prof. Miltos PetridisFrom Blackboards and Similarity to Reasoning with Structure, Time and Space:

A Journey of discovery in AI, developing Knowledge Engineering applications to tackle real world problems.
A discussion of applying AI on real industrial problems using:
- Hybrid Systems – Blackboards
- Similarity – Case Based Reasoning (CBR)
- Reasoning with Structures
- Reasoning with Time
- Reasoning with Space
25/03/2019Olegs Celinskis and Adam Jarzebak
01/04/2019Catherine Walsh (Middlesex University)