Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 9
Books 0
Proceedings 0

Publications

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Scopus

Citations 26
h-index 3

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Professional Recognition

2010

Gold Medalist for Scoring the Highest Marks in College

Mohd Safi National Inter College, Hanswar Ambedkar Nagar

Community & Membership

2024

Project Review Committee

Member
2024

Grievance and Redressal Committee

Member
2024

Department Lab Committee

Member
2024

MOODLE Committee

Member
2024

IMS Committee

Member
2024

Sports Committee

Member

Indian Society for Technical Education (ISTE)

2025
Life Member,

Bio

Dr. Mohd Sakib serves as an Assistant Professor in the Department of Computer Applications at Madanapalle Institute of Technology and Science. He earned his PhD from Aligarh Muslim University, where he specialized in ensemble learning, deep learning, and time series analysis. Dr. Sakib has published several research papers in reputed journals and has presented his work at various International conferences.

Personal Details

  • Male
  • Madanapalle Institute of Science and Technology
Ph.D.
Aligarh Muslim University 2024
MCA
Aligarh Muslim University 2018
B.Sc (Computer Applications)
Aligarh Muslim University 2015
Assistant Professor Aug 2024 – —
Madanapalle Institute of Technology & Science, Madanapalle | Department of Computer Applications
Research Assistant Jun 2016 – May 2017
Aligarh Muslim University

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Scholarly Work

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An Efficient Ensemble Deep Learning Model for Estimations and Forecasting of Time Series Data

University Aligarh Muslim University
Year 2024
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Scholarly Publications

Optimizing support vector regression using grey wolf optimizer for enhancing energy efficiency and building prototype architecture

Open Access
article
Authors: Sakib, Mohd; Ahmad, Shahnawaz; Anwar, Khalid; Saqib, Mohd;

Ensemble deep learning techniques for time series analysis: a comprehensive review, applications, open issues, challenges, and future directions

Open Access
article
Authors: Sakib, Mohd; Mustajab, Suhel; Alam, Mahfooz;

An ensemble deep learning framework for energy demand forecasting using genetic algorithm-based feature selection

Open Access
Article
Authors: Sakib M.;Siddiqui T.;Mustajab S.;Alotaibi R.M.;Alshareef N.M.;Khan M.Z.

Enhanced multi-variate time series prediction through statistical-deep learning integration: the VAR-stacked LSTM model

Open Access
article

BiLSTM based approach for Energy Demand Forecasting and Synchronization among Smart Grids

Open Access
conference paper
Authors: Sakib, Mohd; Mustajab, Suhel; Anwar, Khalid; Alam, Mahfooz;

Multi-Network-Based Ensemble Deep Learning Model to Forecast Ross River Virus Outbreak in Australia

Open Access
Article

Anomaly Detection of ECG Time Series Signal Using Auto Encoders Neural Network

Open Access
Conference Paper

Deep Learning-Based Heartbeat Classification of 12-Lead ECG Time Series Signal

Open Access
Conference Paper