Dr. Mahfooz Alam

About

MAHFOOZ ALAM is an Assistant Professor in the Department of MCA at G. L. Bajaj Institute of Technology and Management, Greater Noida, U.P., India. He received a Ph.D. degree in the Department of Computer Science, at Aligarh Muslim University (AMU), Aligarh, India. M. Alam has also served for six years as an Assistant Professor in the Department of Computer Science at Al-Barkaat College of Graduate Studies (ABCGS), Aligarh, India. He received his M.Tech. in Computer Science and Engineering from Dr. A. P. J. Abdul Kalam Technical University, Lucknow, India. He also completed his B.C.A. and M.C.A. in Computer Applications from Indira Gandhi National Open University (IGNOU) in New Delhi, India. He has published many research papers in international conferences and international journals of repute (including IEEE Access & Xplore, Springer, Elsevier, Wiley, IGI Global, etc.). He constantly seeks innovative approaches to address complex challenges in secured workflow allocation utilizing cutting-edge approaches heuristic, meta-heuristic, and machine learning, aiming to contribute to the existing body of knowledge and propose practical solutions. His research interests are Cloud Computing, Internet of Things, Workflow Scheduling, and Machine Learning.

Employment

• G. L. Bajaj Institute of Technology and Management Assistant Professor
  2025 - Present
• G. L. Bajaj College of Technology and Management Assistant Professor
  2024 - 2025
• Al- Barkaat College of Graduate Studies Assistant Professor
  2014 - 2020

Education

• Aligarh Muslim University Faculty of Sciences Ph.D
  2021 - 2024
• Dr. A. P. J. Abdul Kalam Technical University M. Tech. (CSE)
  2013 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (69)

• VertiDaX: an explainable hybrid deep learning model for dropout prediction with vertical integration
  PeerJ Computer Science 2026 DOI: 10.7717/peerj-cs.3718
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• LSDMA: Levelized security driven deadline constrained multiple workflow allocation model in cloud computing
  Future Generation Computer Systems 2026 DOI: 10.1016/j.future.2025.107941
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• Blockchain Driven Generative AI: Ensuring Data Provenance and Model Integrity
  2026 DOI: 10.1007/978-3-032-07275-7_3
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• Budget Aware Load Balancing Algorithm with Strict Deadline Constraints for Efficient Resource Utilization in Fog and Edge Environments
  2026 DOI: 10.1007/978-3-032-07275-7_11
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• Statistical Analysis Based Performance Evaluation of Secured Workflow Allocation Model in Cloud Environment
  2026 DOI: 10.1007/978-981-95-0681-1_20
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• A comprehensive review of product recommendation systems using deep learning techniques
  Knowledge and Information Systems 2026 DOI: 10.1007/s10115-025-02667-0
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• A Levelized Multiple Workflow Heterogeneous Earliest Finish Time Allocation Model for Infrastructure as a Service (IaaS) Cloud Environment
  Algorithms 2025 DOI: 10.3390/a18020099
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• Software Defects Prediction Using Generative Adversarial Network Based Data Balancing
  2025 DOI: 10.1007/978-3-031-83790-6_22
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• Exploration of Security, Trust, and Robustness for Workflow Allocation in Cloud Computing Environment
  2025 DOI: 10.1007/978-981-96-4543-5_10
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• Comprehensive Bibliographic Survey and Forward-Looking Recommendations for Software Defect Prediction: Datasets, Validation Methodologies, Prediction Approaches, and Tools
  IEEE Access 2025 DOI: 10.1109/ACCESS.2024.3517419
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