Doctorands

"Warning, in music-words
devout and large,
that we are each other’s
harvest:
we are each other’s
business:
we are each other’s
magnitude and bond."

Gwendolyn Brooks, 1971

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Core Members

"The source of these problems of coordination and cooperation is not the nature of the individuals’ goals, or the instrumental character of rationality. Rather it is individualism about rationality, which holds the unit of activity exogenously fixed at the individual."
Hurley 2004


Fathemeh Najibi

sample-image I am a PhD candidate at the Artificial Intelligence Research Centre, at City, University of London. Currently, I am developing machine learning algortihms for forecasting renewable energy output, specifically on applications for Probabilistic Microgrids optimization, under the supervision of Eduardo Alonso and Dimitra Apostolopoulou.

Before starting my Ph.D., I was involved in both academia and industry. I worked as a researcher for Iran Power Transmission, Generation and Distribution Company (TAVANIR). I am experienced with different industrial software such as CYMDIST, DIgSILENT, ArcGIS, AutoCAD, NEPLAN, DIALux as well as academic software such as MATLAB and GAMS.

I am also a graduate teaching assistant for different modules such as Mathematics in Computing, Operating Systems, Systems Architecture, Introduction to Algorithms, Power System Design and Engineering Mathematics at City, University of London.

Nathan Olliverre

sample-image I am a PhD student researching the effective use of computer vision and machine learning in Magnetic Resonance Spectroscopy imaging under the supervision of Eduardo Alonso and Carlos Reyes-Adasoro. I have a vested interest in the generation of data through different means and have spent a large proportion of my time in various deep learning classification models. Outside of academia you can find me either at the gym or playing board games somewhere.

My thesis title is: Exploring the use of Computer Vision and Machine Learning in improving the non-invasive classification rate of brain tumours through Magnetic Resonance Spectroscopy.

I chaired for the British Machine Vision Association a One-Day Symposium entitled Generating data in computer vision and machine learning.


Esther Mulwa

sample-image I am PhD student at the Artificial Intelligence Research Centre. I am currently working on integrating Associative Learning Models and Deep Neural Networks, under the supervision of Eduardo Alonso and Esther Mondragón.

Before joining the PhD Program, I received a MBA and MSc in Data Science from Strathmore Business School and City, University of London, respectively. I have a vast industrial experience spanning over six years in Information System management in both FMCG and Telecommunications sectors. I have worked with several software and products such as MATLAB, Python, Oracle and Workday for both modelling and system management.

I work as a graduate teaching assistant for modules such as Introduction to AI, and Programming and Mathematics for AI, in the Department of Computer Science, City, University of London. Aside from research, I enjoy taking part in in different sports such as hiking, cycling and have participated actively in several marathons that support different charities.

Abdul Hafeez

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I am an Industrial PhD candidate at the Artificial Intelligence Research Centre, CitAI, at City, University of London working under the supervision of Eduardo Alonso and Michaël Garcia-Ortiz. In collaboration with EIT digital and Bosch group, I will be working on developing artificial enabled algorithms for predictive maintenance of connected vehicles. I have two master degrees in Machine Learning and Data Engineering, with professional experience in bringing machine learning to production with the help of cloud computing, data sciences and big data processing methodologies. Besides predictive maintenance, my interest lies in using machine learning and big data analytics techniques for real world artificial intelligence use cases like IoT and Industry 4.0.

I am passionate about software development and in my leisure time, I enjoy reading and traveling.

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Sami Saadaoui

sample-image I am an Industrial PhD student at the Artificial Intelligence Research Centre, CitAI, at City, University of London, working under the supervision of Eduardo Alonso and Alex Ter-Sarkisov. In collaboration with Ai-London and EIT Digital, I will be working on developing artificial intelligence solutions to enable the automatic configuration of efficient next best action advice in scenarios with different long-term financial planning goals and channel preferences in order to close the Advice Gap for Life, Pension & Investments (LP&I).

I have a master's degree in Computer Science Engineering of Distributed Computer Systems from Université du Littoral-Côte-d'Opale, France, and an Engineering degree (BSc+MSc) in Computer Science Parallel and Distributed Systems from Batna University, Algeria, with a solid professional experience in software development, architecture, and modern DevOps solutions.

I work as Head of AI R&D at Ai-London in different projects using different next generation technology stacks to enable Life, Savings and Investment providers to dramatically reduce their operational cost base and increase their strategic flexibility.

Vince Jankovics

sample-image I am a PhD student at the Artificial Intelligence Research Centre. I am working on representations that allow higher level reasoning and decision making for model-based reinforcement learning agents, under the supervision of Eduardo Alonso and Michaël Garcia-Ortiz.

I received my MSc degree in Robotics from the University of Bristol and my BSc in Mechatronics from the University of Southern Denmark. I worked as a machine learning engineer for 5 years, contributing to projects from various domains, such as image recognition, image enhancement, financial time series prediction and drug discovery.

I am interested in abstract reasoning that involves the creation of higher-level concepts that is crucial for achieving AGI. In my free time I enjoy skiing, growing vegetables and 3D printing.

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