MS
Mohd Sakib
University of Petroleum and Energy Studies, Madanapalle Institute of Technology and Science, Aligarh Muslim University
Research areas: Decision Sciences · Management Science and Operations Research · Stock Market Forecasting Methods · Time Series Analysis and Forecasting · Smart Grid Energy Management
0000-0002-2856-8365
Employment
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UPES Assistant Professor2025 - Present
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Madanapalle Institute of Technology & Science Assistant Professor2024 - 2025
Education
- 2021 - 2024
- 2015 - 2018
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Aligarh Muslim University B.Sc(Computer Apps)2012 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (17)
- Long-Horizon Forecasting for Sensor Systems: An Experimental Study Using Linear and Transformer-Based Models Save
- CEEMDAN-TCN-AutoLSTM: A Triple-Force Ensemble Using Cross-Stitch Networks for Short-Term Load Forecasting Save
- Mitigating Adversarial Attacks in Industrial Cybersecurity Through NLP Strategies for E-Commerce Save
- Ensemble deep learning techniques for time series analysis: a comprehensive review, applications, open issues, challenges, and future directions Save
- AI Advancements in Internet of Things, Smart Healthcare, and Intelligent Devices Save
- AI- Driven Security and Intelligence in Cloud and Internet of Things Systems Save
- An ensemble deep learning framework for energy demand forecasting using genetic algorithm-based feature selection Save
- Mitigating Adversarial Attacks in Industrial Cybersecurity Through NLP Strategies for E- Commerce Save
- Optimizing support vector regression using grey wolf optimizer for enhancing energy efficiency and building prototype architecture Save
- BiLSTM based approach for Energy Demand Forecasting and Synchronization among Smart Grids Save
- Enhanced Multi-variate Time Series Prediction Through Statistical-Deep Learning Integration: The VAR-Stacked LSTM Model Save
- Anomaly Detection of ECG Time Series Signal Using Auto Encoders Neural Network Save
- Deep Learning-Based Heartbeat Classification of 12-Lead ECG Time Series Signal Save
- Machine Learning Approach on Multiclass Classification of Internet Firewall Log Files Save
- Multi-Network-Based Ensemble Deep Learning Model to Forecast Ross River Virus Outbreak in Australia Save
- Bitcoin Price Prediction using Machine Learning Save
- Machine Learning-Based Day-Ahead Market Energy Usage Bidding for Smart Microgrids Save