Sheik Abdullah A

About

SHEIK ABDULLAH A is working as an Associate Professor in the School of Computer Science Engineering, Vellore Institute of Technology, Chennai. He completed his PhD from Anna University. He is a visiting faculty at The Institute of Mathematical Sciences IMSC Chennai and contributed and worked in computational biology, mathematical decision support models in clinical informatics, data analytics, and statistics. He is also a visiting researcher at Chennai Mathematical Institute (CMI) and is engaged in works corresponding to Timed automata and its applications. More recently, he has contributed his novelty in assessing risk factors that contribute to type II diabetes with swarm intelligence and machine learning approaches through his published book at CRC press Taylor and Francis. His works correspond to real-time analysis of medical data and medical experts with the development of clinical decision support models for hospitals in rural areas. He also contributed his research intelligence in NLP, big data, knowledge-based systems, E-governance, learning analytics, and probabilistic planning algorithms. He has published over 45 + archival research papers in SCI/SCIE to his credit, 30+ book chapters, and 2 books. Being a Gold medalist (PG), he has been awarded the honourable chief minister award for the best project in E governance. He contributes his interests in various international conferences and serves as a reviewer in IEEE, IEEE access, Elsevier, Springer, and CRC publishers. He is an active member of ACM and IEEE since July 2015 and being recognized for his extra-ordinal contribution to ACM chapter events with ACM faculty sponsor recognition (2015 – 2024).

Employment

• Vellore Institute of Technology Chennai Campus Associate Professor
  2024 - Present
• Vellore Institute of Technology University Assistant Professor Sr.G.2
  2022 - Present
• Thiagarajar College of Engineering Assistant Professor
  2012 - 2022

Education

• Anna University Chennai PHD
  2015 - 2019
• Kongu Engineering College M.E (CSE)
  2010 - 2012

Projects & Funding

Projects & funding information is unavailable.

Publications (78)

• Leveraging deep learning for enhanced diagnosis of autism spectrum disorder using resting-state functional magnetic resonance imaging and clinical data
  Results in Engineering 2025 DOI: 10.1016/j.rineng.2025.104444
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• A Novel Online Job Scam Detection of Imbalanced Data Using ML and NLP Models
  2024 DOI: 10.4018/979-8-3693-2909-2.ch007
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• DecentraliDrone: A decentralized, fully autonomous drone delivery system for reliable, efficient transport of goods
  Alexandria Engineering Journal 2024 DOI: 10.1016/j.aej.2023.12.049
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• Enabling Technology Integrated Learning for Autistic Children Using Augmented Reality Based Cognitive Rehabilitation
  SN Computer Science 2024 DOI: 10.1007/s42979-023-02495-5
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• An Automated Platform for evaluating the factors related to Music Recommendation System
  Advances in Computer Science Research 2024 DOI: 10.2991/978-94-6463-250-7_2
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• Disseminating the Risk Factors With Enhancement in Precision Medicine Using Comparative Machine Learning Models for Healthcare Data
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3400023
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• Enabling Customer Segmentation Based on Classical Partitioning Methods Upon Statistical Evaluation for E-commerce Business Applications
  2024 DOI: 10.1007/978-981-97-2053-8_16
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• Enhancing personalized learning with explainable AI: A chaotic particle swarm optimization based decision support system
  Applied Soft Computing 2024 DOI: 10.1016/J.ASOC.2024.111451
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• Deep Learning for Healthcare Services
  IoT and Big Data Analytics 2023 DOI: 10.2174/97898150802301230201
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• Swarm Intelligence and its Applications in Biomedical Informatics
  2023 DOI: 10.1201/9781003330189
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