Faculty Members Details
Dr. A. Syed Haroon
Senior Lecturer
Dr. A. Syed Haroon
Senior Lecturer
Senior Lecturer
Dr. A. Syed Haroon
A dedicated academician and industry professional with over 22+ years of combined experience, including 11 years in higher education teaching and 11+ years in IT industry roles, specializing in Machine Learning, Deep Learning, Azure Cloud Solutions, .NET FullStack Development, and Data Engineering. Holds a Ph.D. in Computer Science with research focused on Parkinson’s Disease Diagnosis using Feature Selection and Ensemble Learning. Certified with six Microsoft Professional Certifications and experienced in delivering more than 50 workshops and seminars. Published extensively in SCI/Scopus-indexed journals and IEEE Conferences.
Over 22+ years of combined experience, including 11 years in higher education teaching
and 11+ years in IT industry roles, specializing in Machine Learning, Deep Learning,
Azure Cloud Solutions, .NET Full Stack Development, and Data Engineering
Machine Learning & Deep Learning
Cloud Computing (Azure, AWS)
- Dr. A. Syed haroon , Dr.jaisingh W , Dr. Kaarthiekheyan V, Dr. Leelambika KV (2025): An ensemble classification and binomial cumulative based PCA for diagnosis of Parkinson’s disease and autism spectrum disorder. Journal of Theoretical and Applied Information Technology (2025): Published: 15th May 2025. Vol.103. No.9. https://www.jatit.org/volumes/Vol103No9/9Vol103No9.pdf
- P Prabu, R Sivakumar, B Ramamurthy, Mohammad S Khan, A Syed Haroon, Shiju Sebastian(2024): Integrating Multimodal Deep Learning With CBT-ED: Advances for Eating Disorder Identification.Neuroscientific Insights and Therapeutic Approaches to Eating Disorders,Chapter 2, 284-298. https://www.igi-global.com/chapter/integrating-multimodal-deep-learning-with-cbt-ed/351699
- A. Syed Haroon and T.Padma (2023): Autism Spectrum Disorder Detection Using Enhanced Convolutional Neural Network and Wearable Sensors. First International Conference on Data Science and Advanced Computing (ICDSAC 2023): Published: 09 August 2023. https://www.itm-conferences.org/articles/itmconf/abs/2023/06/itmconf_icdsac2023_05018/itmconf_icdsac2023_05018.html
- Syed Haroon Abdul Gafoor and Padma Theagarajan (2022): Intelligent approach of score-based artificial fish swarm algorithm (SAFSA) for Parkinson's disease diagnosis. International Journal of Intelligent Computing and Cybernetics (2022) 15 (4): 540–561. Intelligent approach of score-based artificial fish swarm algorithm (SAFSA) for Parkinson's disease diagnosis | International Journal of Intelligent Computing and Cybernetics | Emerald Publishing
- A. Syed Haroon and T.Padma (2022): An ensemble classification and binomial cumulative based PCA for diagnosis of Parkinson’s disease and autism spectrum disorder. International Journal of System Assurance Engineering and Management (2022): Published: 05 July 2022, Volume 15, pages 216–231. An ensemble classification and binomial cumulative based PCA for diagnosis of parkinson’s disease and autism spectrum disorder | International Journal of System Assurance Engineering and Management
Delivered seminars in:
1. KGiSL Institute of Technology
2. Nehru Institute of Engineering & Technology
3. Karpagam College of Engineering
4. Multiple national-level technical forums
- One Day Workshop on Microsoft Azure
- KGiSL Institute of Technology, Coimbatore.
- .NET Full Stack Workshops
- Karpagam College of Engineering
- Institute of Engineering & Technology
- Nehru Institute of Engineering & Technology
- Several reputed institutions in Tamil Nadu
1. End-to-end development of ASP.NET Core Web API applications
2. Cloud migration projects using Azure App Services, Storage, DevOps Pipelines
3. Enterprise applications with Angular + .NET Core
4. Artificial Intelligence models for Parkinson’s & ASD Diagnosis
1. Recognized as a Microsoft Certified Trainer (MCT)
2. Appreciation from Kovai Systems for corporate training excellence
3. Published 15 technical blogs on Microsoft technologies
Google Scaholar Id : NwMHT8QAAAAJ
Research Gate
Scopus ID :
Researcher Id
Orcid id: https://orcid.org/0000-0003-0207-9990