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

Corina Cătărău-Cotuțiu

sample-image I am a PhD candidate at the Artificial Intelligence Research Centre, at City, University of London. I have as supervisors Esther Mondragón, Michaël Garcia-Ortiz and Eduardo Alonso.

My research focuses on understanding and developing a model that mimics the inner workings of a creative agent by making use of deep learning architectures with a focus on graph networks. I am interested in the process of functional creativity that will allow us to build more robust agents that generalise easier and use their resources more efficiently. Representation learning is also part of my research as in order for an agent to be creative it needs to posses a knowledge space (concept space) that can be manipulated.

Before this I have worked as a software developer in both Python and Java for 5 years. I obtained my MSc in Artificial Intelligence from City, University of London and have a BSc in Computer Science from the Technical University of Cluj-napoca.

I am passionate about learning how we as humans think and I am always eager to share my thoughts about it and happily be corrected when wrong.

     

Alexandra Clay

sample-image I am a PhD student at the Artificial Intelligence Research Centre at City, University of London. I am supervised by Dr. Eduardo Alonso and Dr. Esther Mondragón. for my topic of: Episodic Memory and Emotions in Artificial Systems and their Applications.

I am particularly interested in investigating whether the presence of personal experience could provide means for the development of a personality in an artificial agent. Also determining if integrating emotions into these personal experiences could provide a stronger framework on which novel experiences could be met with an emotional response.

Before beginning my PhD, I completed a BSc in Computer Science at City and worked as a software engineer in a technology startup for a year. I have experience in a number of technologies, including: Python, PyTorch, Neo4j, spaCy, AWS, and more. In my free time I enjoy reading and gardening.

Website     


Alexander Dean

AD I am a PhD student at City, University of London’s Artificial Intelligence Research Centre. My research is on the study of algebraic structures in continual representation learning, under the supervision of Dr. Esther Mondragón, Dr. Eduardo Alonso, Dr. Michaël Garcia-Ortiz and Dr Laure Daviaud.

Before starting my PhD, I received an MSci in Physics with Theoretical Physics from Imperial College London then studied for the MSc in Artificial Intelligence at City, University of London.

I am a strong advocate of developing mathematical frameworks to gain insights into problems and my research aims to apply ideas and techniques from Physics to Artificial General Intelligence; I’m also interested in the analysis of variational principles and their symmetries using abstract algebra to develop novel AI techniques and inspire new cognitive architectures.

 

Abdul-Basit Hafeez

AH I am an Industrial Doctoral student at the Artificial Intelligence Research Centre, CitAI, at City, University of London working under the supervision of Eduardo Alonso and and Alex Ter-Sarkisov. In collaboration with EIT digital and Bosch group, I will be working on developing AI-enabled algorithms for predictive maintenance of connected vehicles. I have two master's degrees in Machine Learning and Data Engineering, with professional experience in bringing machine learning to production in cloud and big data settings.

I am working on algorithms related to sequential prediction and textual representation including embeddings, RNNs, LSTMs, Autoencoders and Attention mechanisms. Besides predictive maintenance, I am also interested in the application of these algorithms in NLP and Recommendation Systems.

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

Website      


Kiran Ikram

sample-image I am PhD student at the Artificial Intelligence Research Centre at City, University of London. I am supervised by Dr. Eduardo Alonso, Dr. Esther Mondragón and Dr. Michaël Garcia-Ortiz.

My research focus is on building multi-agent artificial intelligence capable of strategic reasoning in cooperative-competitive settings. My work utilizes methods from deep reinforcement learning and evolutionary game theory to tackle the dilemmas that arise from many-agent interactions.

Prior to commencing my PhD, I obtained my MSc in Artificial Intelligence from City, University of London and my BBA in Finance from the University of Notre Dame. I have experience as a Fixed Income Trader, managing the one of the largest bond portfolios in Pakistan and as a Creative Director producing commercials for leading campaigns in the Asian region.

I was a Division-1 Varsity athlete with the University of Notre Dame’s Women’s Rowing Team for four years.

     

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.

Website      


Mpagi Kironde

sample-image I am a PhD candidate at the Artificial Intelligence Research Centre, CitAI, at City, University of London, working under the supervision of Esther Mondragón and Eduardo Alonso.

My research is focused on how we can integrate associative learning principles in deep learning (DL) models to make models that can generalise better and more robustly. Learning phenomena involves formation of complex associations, DL provides a natural framework to accommodate the representation of stimulus and associations. An important part of learning is how to represent and reuse knowledge, I will explore how we can use Convolution neural networks (CNN), a deep hierarchical architecture, to learn representations of stimuli at different levels of abstraction. Associative memory is another area of my research, how a given stimuli is stored and associated with related stimuli for retrieval later. I will explore how we can use deep associative neural architectures with their hierarchical structure for representation of associative memory. I will also be researching attention in learning theory and how to integrate it in DL models, inspired by the recent success of the Transformers architecture.

I obtained my MSc in Artificial Intelligence from City, University of London and have a BSc Hons in Computing science from University of Greenwich, London. Prior to embarking on my research journey, I worked as a Solution architect at Rank group, designing enterprise applications for the gaming platform. Before joining Rank Group, I worked as a tech lead at Bank of England, leading a team of developers to build an online platform for rules that regulate the financial services.

     

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