Staff Profile
Dr Jabir Alshehabi Al-Ani
Lecturer
My name is Jabir Alshehabi Al-Ani and I am a lecturer at York St John University, Data Science department. I have a PhD in computer science from the Department of Computer Science and Electronic Engineering, University of Essex, UK. I have over 10 years of knowledge in Machine Learning, AI, NLP, Data Retrieval, and Information Extraction both in academic and research environments, and industry.
- School – School of Science, Technology and Health
- Email – j.alshehabialani@yorksj.ac.uk
- Research - View my work in RaY
- Postgraduate Research Supervisor
Teaching
My current teaching role is to deliver lectures in two courses: Machine Learning and Practice in Interdisciplinary Problem Solving (PIIPS).
I lectured for about seven years before in several subjects which are:
- Artificial Intelligence
- Data Mining
- Data Analysis
- Machine Learning
- Introduction to Programming in Python
- Introduction to Database
- Information Retrieval
- Natural Language Engineering
- Computer Security
- Digital Communications
- Image Processing
- Computer Graphics
- Computer Architecture
Research
My research interests are in several subjects which are Natural Language Processing, Image Processing, and interdisciplinary fields with AI (healthcare and sociology studies).
Publications and conferences
Book chapter
'How to Manage International Multidisciplinary Research Projects', Konnikov, A., Rets, I., Hughes, K.D., Alshehabi Al-Ani, J., Denier, N., Ding, L., Hu, S., Hu, Y., Jiang, B., Kong, L., Tarafdar, M., Yu, D. 21/01/2022 In: Cheltenham : Edward Elgar (Accepted, In Press). (Book Chapter Peer Reviewed).
Journals
'Balancing Gender Bias in Job Advertisements with Text-Level Bias Mitigation', Shenggang Hu, Jabir Alshehabi Al-Ani, Karen D Hughes, Nicole Denier, Alla Konnikov, Lei Ding, Jinhan Xie, Yang Hu, Monideepa Tarafdar, Bei Jiang, Linglong Kong and Hongsheng Dai, Jan. 2020, Frontiers Big Data 5:805713, DOI: 10.3389/fdata.2022.805713.
'BIAS Word inventory for work and employment diversity, (in)equality and inclusivity (Version 1.0)', Alla Konnikov, Nicole Denier, Yang Hu, Karen D. Hughes, Jabir Alshehabi Al-Ani, Lei Ding, Irina Rets, Monideepa Tarafdar, Jan. 2022, SocArXiv, DOI: 10.31235/osf.io/t9v3a. (pre-print).
'Gendered STEM Workforce in the United Kingdom:The Role of Gender Bias in Job Advertising', Yang Hu, Monideepa Tarafdar, Jabir Alshehabi Al-Ani, Irina Rets, Shenggang Hu, Nicole Denier, Karen D. Hughes, Alla Konnikov, and Lei Ding, Jan 2022, Evidence submitted to the ‘Diversity in STEM’ Inquiry,Science and Technology Committee, House of Commons, UK Parliament. Jan 2020.
Conferences
'Machine Learning for Prediction of Wind Power and Resources in Hot Climate Region', Ahmad Saeed Mohammad, Jabir Alshehabi Al-Ani, Dhafer Zaghar, Sept. 2021, I3CAT (IEEE Conference). DOI: 10.1109/I3CAT53310.2021.9629401.
'Probabilistic Named Entity Recognition for non-standard format entities using co-occurrence word embeddings', Jabir Alshehabi Al-Ani; Maria Fasli, 2019 IEEE International Conference on Big Data (Big Data), Dec. 2019, DOI: 10.1109/BigData47090.2019.9005587.
'Convolutional Neural Network for Ethnicity Classification using Ocular Region in Mobile Environment', Ahmad Saeed Mohammad, Jabir Alshehabi Al-Ani, IEEE 2018 10th Computer Science and Electronic Engineering Conference (CEEC), Feb. 2019, DOI: 10.1109/CEEC.2018.8674194.
'Probabilistic Relational Supervised Topic Modelling using Word Embeddings', Jabir Alshehabi Al-Ani; Maria Fasli, Dec. 2018, 2018 IEEE International Conference on Big Data (Big Data), DOI: 10.1109/BigData.2018.8622326.
'Towards ethnicity detection using learning-based classifiers', Ahmad Saeed Mohammad, Jabir Alshehabi Al-Ani, IEEE 9th Computer Science and Electronic Engineering (CEEC), Sept. 2017, DOI: 10.1109/CEEC.2017.8101628.
