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Creative Technology Home Introduction Chair Department Departments Artifical Intelligence (AI) Data Sciece (DS) Software Engineering (SE) Program Details PLO's PEO's Program Offered Artifical Intelligence Data Science Software Engineeering Academic Calender Research Groups Industrial Advisory Board
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Mr. Nasir Ayub
Lecturer
Contact Information
  [email protected]
  --

Education Detail
Ph.D (Computer Science ) SEECS, NUST, Islamabad
MS (Software Engineering) COMSATS University Islamabad
BS (Computer Science ) FUUAST Islamabad

1. Abdulwahab Ali Almazroi, and Nasir Ayub. "Deep learning hybridization for improved malware detection in smart Internet of Things." Scientific Reports 14, no. 1 (2024)2. Abdulwahab Ali Almazroi, Faisal Alsubaei, Nasir Ayub, Inclusive Smart Cities: IoT-Cloud Solutions for Enhanced Energy Analytics and Safety. International Journal of Advanced Computer Science & Applications, 15(5), 2024. 3. Walid Atwa, Abdulwahab Ali Almazroi, Nasir Ayub "Reliable renewable energy forecasting for climate change mitigation". PeerJ Computer Science, 20244. Aldossary, Mohammad, Hatem A. Alharbi, Nasir Ayub . "Exploring Multi-Task Learning for Forecasting Energy-Cost Resource Allocation in IoT-Cloud Systems.", Computers, Material and Continua, 20245. Abdulwahab Ali Almazroi, Nasir Ayub "Enhancing aspect-based multi-labeling with ensemble learning for ethical logistics", PLOS One, 2024. 6. Abdulwahab Ali Almazroi, Nasir Ayub "Online Payment Fraud Detection Model using Machine Learning Techniques, IEEE Access, 2023.7. Abdulwahab Ali Almazroi, Nasir Ayub "Hybrid Algorithm-driven Smart Logistics Optimization in IoT-based Cyber-Physical Systems, Computers Materials and Continua (CMC), 2023.8. Abdulwahab Ali Almazroi, Nasir Ayub "Enhancing Smart IoT Malware Detection: A GhostNet-based Hybrid Approach, Systems, MDPI 2023.9. Muhammad Irfan, Nasir Ayub et al. "AQSA: Aspect-based Quality Sentiment Analysis for Multi-Labelling with Improved ResNet Hybrid Algorithm", Electronics, 202310. Abdulwahab Ali Almazroi, Nasir Ayub "Multi-task Learning for Electricity Price Forecasting and Resource Management in Cloud based Industrial IoT Systems, IEEE Access, (2023).11. Nasir Ayub et al. "Optimized DenseNet Model for Aspect based Multilabel Classification, Algorithms, MDPI (2023).12. Aimen Khalid, Gran Badshah, Nasir Ayub et al. "Software Defect Prediction Analysis Using Machine Learning Techniques", Sustainability, 202313. Muhammad Irfan, Nasir Ayub et al. "Ensemble learning approach for advanced metering infrastructure in future smart grids", PLOSOne, 202314. Nasir Ayub, Usman Ali et al., Predictive Data Analytics for Electricity Fraud Detection Using Tuned CNN Ensembler in Smart Grid. Forecasting. 2022; 4(4):936-948.15. Muhammad Irfan, Ch. Anwar Ul Hassan, Faisal Althobiani, Nasir Ayub et al. "Power Scheduling with Max User Comfort in Smart Home: Performance Analysis and Trade-offs", CMC COMPUTERS MATERIALS & CONTINUA 72, no. 1 (2022)16. Ch Anwar ul Hassan, Jawaid Iqbal, Nasir Ayub et al. "Smart Grid Energy Optimization and Scheduling Appliances Priority for Residential Buildings through Meta-Heuristic Hybrid Approaches." Energies 15, no. 5 (2022): 1752.17. Muhammad Irfan, Nasir Ayub et al. "Energy Theft Identification Using Adaboost Ensembler in the Smart Grids." CMC COMPUTERS MATERIALS & CONTINUA 72, no. 1 (2022): 2141-2158.18. Muhammad Irfan, Ali Raza, Faisal Althobiani, Nasir Ayub et al.,“Week Ahead Electricity Power and Price Forecasting using Improved DenseNet-121 Method”, CMC-COMPUTERS MATERIALS & CONTINUA 72, no. 1 (2022).19. Khursheed Aurangzeb , Nasir Ayub, Musaed Alhussein,“Aspect Based Multi-labeling using SVM Based Ensembler”, IEEE Access, 2021.20. Tahirkheli, Abeer Iftikhar, Muhammad Shiraz, Bashir Hayat, Muhammad Idrees, Ahthasham Sajid, Rahat Ullah, Nasir Ayub, and Ki-Il Kim. "A Survey on Modern Cloud Computing Security over Smart City Networks: Threats, Vulnerabilities, Consequences, Countermeasures, and Challenges." Electronics 10, no. 15 (2021): 181121. Akbar Ali , Nasir Ayub, Muhammad Shiraz, et. al. ,“Traffic Efficiency Models for Urban Traffic Congestion Control: A Survey”, Sustainability, 2021.22. Abdulwahab Ali Almazroi, Nasir Ayub. A Novel Method CNN-LSTM Ensembler based on Black Widow and Blue Monkey Optimizer for Electricity Theft Detection, IEEE Access, (2021).23. Shahzad Aslam , Nasir Ayub, et. al. ,“Toward Electric Price and Load Forecasting using CNN-based Ensembler in Smart Grids”, Sustainability, 2021.24. Rehan Akram, Nasir Ayub et al.,“Towards Big Data Electricity Theft Detection Based on Improved RUSBoost Classifiers in Smart Grid”, Energies 14, no. 23 (2021)25. Saleh Albahli, Nasir Ayub et al.,“Coronavirus disease (COVID-19) detection using X-ray images and enhanced DenseNet.”, Applied Soft Computing 110 (2021)26. Waqas Ahmad, Nasir Ayub, Tariq Ali, Muhammad Irfan, Muhammad Awais, Muhammad Shiraz, and Adam Glowacz. "Towards Short Term Electricity Load Forecasting Using Improved Support Vector Machine and Extreme Learning Machine." Energies 13, no. 11 (2020): 2907.27. Nasir Ayub, Muhammad Irfan, et al. "Big data analytics for short and medium-term electricity load forecasting using an AI techniques ensembler." Energies 13, no. 19 (2020): 5193.28. Albahli, Saleh, Muhammad Shiraz, and Nasir Ayub. "Electricity Price Forecasting for Cloud Computing Using an Enhanced Machine Learning Model." IEEE Access 8 (2020): 200971-200981Conferences:1. Ali Raza, Usman Ali, Nasir Ayub, et al, "Residential Electricity Power Forecasting using GRU-based CNN and SAE Ensembler." IEEE ICEST, 2023.2. Nasir Ayub, Khursheed Aurangzeb, Muhammad Awais, and Usman Ali. "Electricity Theft Detection using CNN-GRU and Manta Ray Foraging Optimization Algorithm." In 2020 IEEE 23rd International Multitopic Conference (INMIC), pp. 1-6. IEEE, 2020.3. Sheraz Aslam, Herodotos Herodotou, Nasir Ayub, and Syed Muhammad Mohsin. "Deep Learning based Techniques to Enhance the Performance of Microgrids: A Review." In 2019International Conference on Frontiers of Information Technology (FIT), pp. 116-1165. IEEE, 2019.4. Ali, Mughees, Nasir Ayub, Zainib Noshad, Amjad Rehman, Sana Mujeeb, and Nadeem Javaid. "Short-Term Electricity Price and Load Forecasting using Enhanced Support VectorMachine and K-Nearest Neighbor." 1st International Conference on Computing (ICC 2019) Riyadh, Saudi Arabia.5. Nasir Ayub, Nadeem Javaid, Sana Mujeeb, Maheen Zahid, Wazir Zada Khan and Muhammad Umar Khattak, "Electricity Load Forecasting in Smart Grids using Support VectorMachine", in 33rd International Conference on Advanced Information Networking and Applications (AINA), 2019.6. Syeda Aimal, Nadeem Javaid, Amjad Khan, Nasir Ayub, Tanzeela Sultana and Aroosa Tahir, "Data Analytics for Electricity Load and Price Forecasting in the Smart Grid", in 33rd International Conference on Advanced Information Networking and Applications (AINA), 2019.7. Nasir Ayub, Nadeem Javaid, Assad Abbas, Adnan Ishaq, Anam Yousaf and Muhammad Awais Ishtiaq, "Demand Side Management Scheduling of Appliances Using Meta HeuristicAlgorithms", in 13th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA), 2018.8. Nasir Ayub, Adnan Ishaq, Mudabbir Ali, Muhammad Azeem Sarwar, Basit Amin, and Nadeem Javaid, "An Efficient Scheduling of Power and Appliances Using Metaheuristic Optimization Technique", 9th International Conference on Intelligent Networking and Collaborative Systems INCoS 20179. Adnan Ishaq, Nasir Ayub, Arje Saba, Asad Ghafar Basit Amin, and Nadeem Javaid, "An Efficient Scheduling using Meta Heuristic Algorithms for Home Demand-side Management in Smart Grid", 9th International Conference on Intelligent Networking and Collaborative Systems (INCoS), 201710. Mudabbir Ali, Samia Abid, Asad Ghafar, Nasir Ayub, Hafsa Arshad, Sajawal Khan, and Nadeem Javaid, "Earth Worm Optimization for Home Energy Management System in Smart Grid", in 12th International Conference on Broadband Wireless Computing, Communication and Applications (BWCCA), 201711. Muhammad Azeem Sarwar, Basit Amin, Nasir Ayub, Syed Hassnain Faraz, Sajawal ur Rehman Khan, and Nadeem Javaid, "Scheduling of Appliances in Home Energy Management System using Elephant Herding Optimization and Enhanced Differential Evolution", 9th International Conference on Intelligent Networking and Collaborative Systems (INCoS), 201712. Basit Amin, Adia Khalid, Muhammad Azeem Sarwar, Asad Ghaffar, Adnan Satti, Nasir Ayub, and Nadeem Javaid, "Real Time Pricing based Appliance Scheduling in Home Energy Management using Optimization Techniques", 12th International Conference on Broadband Wireless Computing, Communication and Applications (BWCCA), 2017

Research Interest
Artificial Intelligence
Smart Grid
Natural Language Processing
Blockchain
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