Prof. Suhel Mustajab

About

Suhel Mustajab is working as Professor, in the Department of Computer Science, Aligarh Muslim University (AMU), Aligarh. He joined Department of Computer Science in the year 1990; he did his Graduation in Electrical engineering from Z.H.C.E.T, AMU, Aligarh in 1986, Masters in Computer Science from AMU, Aligarh in 1990 and Ph.D. from AMU. Aligarh. He has 34 years of Teaching experience at National and International level and has guided around 160 dissertations at PG level and around 100 at UG level. His area of Interests are Soft computing, Image processing, Cloud Computing, and Internet of Things (IoT). On the administrative side, he has been working as Coordinator, National Education Policy, Aligarh Muslim University, Nodal officer, National Academic Depository, AMU. He has worked as Chairman, Department of Computer Science from 2013 to 2014, Director, Computer Centre, AMU, Aligarh from 2012 to 2013. He has worked as HOD/Program Coordinator, Department of Information Science & Technology, MCMAS (UMR-Rolla), Muscat for Four Years from July, 2004 till July 2008. He was actively involved in the development of the Salary and Accounting system of AMU, during his tenure as Systems Manager, CU-CAO AMU from 2000 to 2003 (on Deputation).

Employment

• Aligarh Muslim University Nodal Officer
  2018 - Present
• Aligarh Muslim university Chairman
  2013 - 2014
• Aligarh Muslim University Director
  2012 - 2013
• Aligarh Muslim University Professor
  1990 - Present

Education

• Aligarh Muslim University Master of Computer Science and Applications
  1987 - 1990
• Aligarh Muslim University B.Sc Engg
  1981 - 1986
• Aligarh Muslim University Ph.D.

Projects & Funding

Projects & funding information is unavailable.

Publications (35)

• 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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• Correction: A trustworthy hybrid model for transparent software defect prediction: SPAM-XAI (PLoS One (2024) 19:7 (e0307112) DOI: 10.1371/journal.pone.0307112)
  Plos One 2026 DOI: 10.1371/journal.pone.0343580
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• CEEMDAN-TCN-AutoLSTM: A Triple-Force Ensemble Using Cross-Stitch Networks for Short-Term Load Forecasting
  Arabian Journal for Science and Engineering 2025 DOI: 10.1007/s13369-025-10398-1
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• A secure and efficient identity-based RFID mutual Authentication scheme for IoT using elliptic curve cryptography
  International Journal of Computers and Applications 2025 DOI: 10.1080/1206212X.2025.2491075
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• Ensemble deep learning techniques for time series analysis: a comprehensive review, applications, open issues, challenges, and future directions
  Cluster Computing 2025 DOI: 10.1007/s10586-024-04684-0
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• A hybrid‐ensemble model for software defect prediction for balanced and imbalanced datasets using AI‐based techniques with feature preservation: SMERKP‐XGB
  Journal of Software: Evolution and Process 2025 DOI: 10.1002/smr.2731
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• An ensemble deep learning framework for energy demand forecasting using genetic algorithm-based feature selection
  Plos One 2025 DOI: 10.1371/journal.pone.0310465
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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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• 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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• Exploration of Secured Data Transmission in Internet of Things: A Survey
  Proceedings International Conference on Computing Power and Communication Technologies Ic2pct 2024 2024 DOI: 10.1109/IC2PCT60090.2024.10486716
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