Jaleed Khan is an AI researcher and lecturer with more than six years of experience in industrial and academic setups. He serves as a consultant and trainer in the industry and teaches undergraduate and postgraduate courses in AI, data science and software development. Currently pursuing his PhD in AI at University of Galway’s Data Science Institute, Jaleed’s research blends deep learning and knowledge graphs to advance neuro-symbolic AI for visual understanding and reasoning. Jaleed has presented his work at the leading conferences including European Semantic Web Conference (ESWC), International Conference on Information and Knowledge Management (CIKM), International Conference on Document Analysis and Recognition (ICDAR), Knowledge Graph Conference (KGC) and has numerous publications in high impact journals. He is a member of prestigious organizations, such as Neural-Symbolic Learning and Reasoning (NeSy) Association, International Association for Pattern Recognition (IAPR), Pakistan Pattern Recognition Society (PPRS) and the Artificial Intelligence and Computer Vision (iVision) Lab at Institute of Space Technology, Islamabad. With experience as both a consultant and trainer in industry, as well as a lecturer and researcher in academic institutes, Jaleed is a versatile and accomplished professional in his field.

Supervisor: Professor Edward Curry

Priya graduated from Jawaharlal Nehru University with a Bachelor degree in Chinese Language, Literature and Culture study in 2015 and Master’s degree in Linguistics in 2018 She also holds an M. Phill in Linguistics from Dr. Bhimrao Ambedkar University in 2019. During the course of her studies she also worked as a senior linguist at Samsung R&D, Banglore, India, and Panlingua Language Processing LLP, New Delhi, India for short term projects. As a Linguist, her research area and academic background lie at the Junction of Linguistics and Computer Science, focusing on Natural Language Processing.

Her Masters thesis: Agreement in Rajbansi, and tries to find out morphological parameters and syntactic structure of the agreement system within Principle and Parameters framework. In her M.phil thesis: A Pragmatic Study of Gender-Directed Offensive and Threatening Language on Social media with Application in its Automatic Detection. It focuses on the pragmatic study of the linguistic structure helpful in detecting offensive language with especial reference to gender in code-mixed languages. In March 2019, She received DAAD fellowship to join International Spring School in Advanced Language Engineering conducted by University of Konstaz, Germany and University of Moratowa, Sri Lanka.

Currently, she is working on Minority languages of India, Magahi and Bhojpuri in particular.

Supervisors: Dr. John McCrae & Dr. Theodorus Fransen

Hoda holds a Ph.D. in Computer Algebra from the Isfahan University of Technology, Iran and Kassel University in Germany. Her doctoral work focused on the structure and computation of involutive bases. During her Ph.D. study, I worked at Shomara company in Iran as an intern where she had the opportunity to work with Time-series data in analysing the stock market data. Her concern has always been about being at the forefront of knowledge. Given the influence of data science on any area of science, particularly in industry and technology, after finishing her Ph.D., she has joined the Centre for Research Training (CRT) in Artificial Intelligence (AI) group at Insight Center for Data Analytics in NUI Galway since October 2019 where my research lies primarily n Data analysis, Machine learning, Deep learning, and their applications. As her background is in mathematics and symbolic computation knowledge, she has focused on conducting research in Neurosymbolic AI, asto address how symbolic AI can assist deep learning, in order to overcome the current black-box nature of Deep Learning.

Supervisors: Dr. Matthias Nickles

Nivranshu Pasricha is a fourth-year PhD student in the Unit for Natural Language Processing at the Data Science Institute, National University of Ireland, Galway, where he is supervised by Dr. Paul Buitelaar and Dr. Mihael Arcan. His research is in the field of Natural Language Generation which is a subfield of Artificial Intelligence and Computational Linguistics that is concerned with tools and techniques to produce meaningful texts in a human language such as English from some underlying non-linguistic representation of information. Nivranshu holds an MSc. in Computer Science (Data Analytics) from National University of Ireland, Galway where his thesis was focused on detecting bot behaviour in social media, under the supervision of Dr. Conor Hayes.

Prior to joining the CRT-AI funded PhD programme, Nivranshu worked as a Research Assistant at the Insight Centre for Data Analytics in Galway on the NURS project (Neural Machine Translation in Under Resourced Scenario) in collaboration with the United Language Group in Barcelona. The project aimed to improve the performance of Neural Machine Translation in low-resource and domain-specific scenarios by leveraging knowledge from existing Rule-Based Machine Translation systems.

Supervisors: Dr Paul Buitelaar & Dr Mihael Arcan