Faculty profile

Taufique Ahmed

Lecturer in Business Data Analytics

PG Dip (Science) in Business Data Analytics
Contact information


Block B, Merrion Centre
Merrion Road
Dublin 4
D04 H2H4





Taufique Ahmed is an author and lecturer on the Business Data Analytics programme at Hibernia College. He received Bachelor of Engineering (BE) and Master of Technology (MTech) degrees in Computer Science Engineering from Visvesvaraya Technological University, Belagavi, India in 2009 and 2013, respectively. He is currently pursuing a PhD degree with the Artificial Intelligence and Cognitive Load Research Laboratory at the School of Computer Science in Technological University Dublin. He was a lecturer at the Department of Computer Science and Engineering in Anjuman Institute of Technology and Management (AITM), Bhatkal, India from 2013 to 2021. While there, he taught several modules such as machine learning, deep learning, data mining, operating systems, system software and UNIX concepts. Additionally, he has overseen practical labs about machine learning, networking, shell programming, Python programming, databases and operating systems. He also worked as Training and Placement Officer in AITM from 2019 to 2021. In this role, he helped students identify employment options that matched their career interests and assisted students in all aspects of the job search, including CV writing, interviewing techniques and job referrals. He worked as a consultant for Marella Softlabs Private Ltd., India from 2017 to 2021 as a Senior Machine Learning Engineer. During this tenure, he worked on AI-enabled commercial healthcare, logistics and banking projects. He has practical work experience with machine learning and deep learning algorithms. He worked on many library packages such as scikit-learn, NumPy, pandas, NLTK, Matplotlib, seaborn and Keras, as well as TensorFlow, t-SNE and DBSCAN.

Research interests

Taufique’s main research interests include cognitive load modelling, machine learning, deep learning and natural language processing.


T. Ahmed and L. Longo (2022) ‘Examining the size of latent spaces of convolutional variational autoencoder trained with spectral topographic maps of EEG frequency bands’, IEEE Access, 10.

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