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Faculty and Staff

College / Department

College of Engineering and Technology

Teaching Areas

Artificial Intelligence, Machine Learning and Deep Learning, Big Data Technologies, Federated Learning and Privacy-Preserving AI, Data Structures and Algorithms, Computational Intelligence, Leadership and Teamwork in Tech Environments

Research Areas & Interests

Big Data Analytics, Computational Intelligence, Federated Learning for Privacy-Preserving Healthcare Analytics, Federated Learning for Privacy-Preserving Agricultural Data Analytics, Explainable AI, Sustainable AI

Education

(Ph.D.) in Faculty of Computer and Information Sciences, 2022
Visvesvaraya Technological University, India

Master of Engineering (M.E.) in Computer Science and Engineering, 2005
University Visvesvaraya College of Engineering, Bangalore University, India, India

Bachelor of Engineering in Computer Science and Engineering, 1998
The National Institute of Engineering, University of Mysore, India, India

Employment History

Visiting Assistant Professor, United Arab Emirates - University of Science and Technology of Fujairah

2024, Present

Associate Professor, India - REVA University, Bangalore, India

2012 , 2024

Lecturer, Oman - College of Applied Sciences, Ministry of Higher Education, Ibri, Sultanate of Oman

2009, 2011

Lecturer, Oman - Caledonian College of Engineering, Muscat, Sultanate of Oman

2007 , 2009

Assistant Professor, India - Visvesvaraya Technological University (Atria Institute of Technology), Bangalore, India

2006, 2007

Lecturer, India - Visvesvaraya Technological University (Atria Institute of Technology), Bangalore, India

2005, 2006

Lecturer, India - Visvesvaraya Technological University (Atria Institute of Technology), Bangalore, India

2000, 2005

Faculty and Programmer, India - Global Line Software Solutions, Bangalore, India

1998, 2000

Contact

a.pasha@uof.ac.ae

971 569832271

Dr. Akram Pasha

Visiting Assistant Professor

Dr. Akram Pasha specializes in teaching and research in Artificial Intelligence, Computational Intelligence, and Big Data Analytics. He has published in Scopus-indexed journals and conferences and actively contributed to curriculum development. He is dedicated to fostering innovation-driven learning and bridging the gap between academic theory and practical application.

Publications
  • Pasha, A., Ahmed, S. T., Painam, R. K., Mathivanan, S. K., Karthikeyan, P., Mallik, S., & Qin, H. (2024). Leveraging ANFIS with Adam and PSO Optimizers for Parkinson’s Disease Detection. Heliyon – Elsevier, 10(9), e30241. https://doi.org/10.1016/j.heliyon.2024.e30241

  • Naif Khalaf Alshammari, Adel Abdullah Alhusaini, Akram Pasha, et al. (2024). Explainable Federated Learning for Enhanced Privacy in Autism Prediction Using Deep Learning. Journal of Disability Research, 3(7). https://doi.org/10.57197/JDR-2024-0081

  • Pasha, A., & Latha, P. H. (2021). Well-Calibrated Probabilistic Machine Learning Classifiers for Multivariate Healthcare Data. International Journal of Advanced Research in Computer Science, 12(2). https://www.academia.edu/66720718

  • Pasha, A., & Latha, P. H. (2020). Bio-Inspired Dimensionality Reduction for Parkinson’s Disease Classification. Health Information Science and Systems – Springer, 8(1), 1–22. https://doi.org/10.1007/s13755-020-00104-w

  • Pasha, A., et al. (2020). Machine Learning Based Sentiment Analysis of Distributed Customer Product Reviews Data on Amazon. International Journal of Test Engineering and Management, 83(1). http://testmagzine.biz/index.php/testmagzine/article/view/8216

Conference Presentations
  • Privacy-Conscious Data Leakage Detection: An Experimental Evaluation of Machine Learning Models on Encrypted Data Presented at CSOC 2025, Lecture Notes in Networks and Systems (Springer), Scopus

  • AI-Driven Risk Scoring System for Automated Compliance Audits in Assisted Living Facilities Presented at CSOC 2025, Lecture Notes in Networks and Systems (Springer), Scopus

  • Machine Learning for ESG Analytics: Clustering and Time-Series Forecasting for Sustainability Assessment Presented at CSOC 2025, Lecture Notes in Networks and Systems (Springer), Scopus

  • Enhancing Breast Cancer Detection through Explainable Federated Learning Models Presented at CSOC 2025, Lecture Notes in Networks and Systems (Springer), Scopus

Awards & Honors
  • Corporate Trainer – 4-week C and C++ Training Program, EDGE Group PJSC, Abu Dhabi, Nov–Dec 2023

  • Resource Person – Python Programming, Training & Capacity Building Programme, Adithya College of Engineering, Dec 2023–Jan 2024

  • Resource Person – R Software Training Programme for Agricultural Research, University of Agricultural Sciences, Bangalore, Oct 2022

  • Organizing Co-Chair – International Conference on Innovations in Cybersecurity and Data Science (ICICDS-2024), REVA University

  • Organizing Co-Chair – IEEE-Sponsored International Conference on IDCIoT 2024, REVA University

  • Session Chair – International Conference on Advances in Computing and Information Technology (IACIT-2022), REVA University

  • Best Paper Award – Big Data Enabled E-learning Recommender, IACIT-2021, REVA University

  • Best Dissertation Award – Glasgow Caledonian University, 2008 (as Project Supervisor)

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