
QUALIFICATION | |||
PhD Scholar | Computer Science | School of Electrical Engineering and Computer Science, National University of Science and Technology (NUST), Islamabad, Pakistan. | Since – 2020 |
MS | Software Engineering | COMSATS University Islamabad, Islamabad, Pakistan | 2019 |
BS | Computer Science | Federal Urdu University, Islamabad, Pakistan. | 2016 |
TEACHING EXPERIENCE | |||
Senior Lecturer | Department of Software Engineering, Faculty of Computing, Capital University of Science and Technology (CUST), Islamabad, Pakistan | Since – 2022 | |
Lecturer | Department of Computer Science, Federal Urdu University, Islamabad (FUUAST), Pakistan | 2019 – 2022 | |
Program Coordinator | Department of Computer Science, Federal Urdu University, Islamabad (FUUAST), Pakistan | 2019 – 2022 | |
Workshop Teaching and Tutor | Allama Iqbal Open University, 44000, Islamabad | 2020 – 2021 | |
Research Associate | ComSens Research Group at the Department of Computer Science, COMSATS University Islamabad, Islamabad, Pakistan | 2017 – 2019 | |
Teaching Assistant | Department of Computer Science, COMSATS University Islamabad, Islamabad, Pakistan | 2018 – 2019 | |
Visiting Lecturer | Department of Computer Science, Federal Urdu University, Islamabad, Pakistan | 2018 – 2019 |
INDUSTRIAL EXPERIENCE | |||
Assistant Team Leader & Developer | Secours Islamic France (SIF), NGO, Islamabad, Pakistan | 2015 – 2016 |
RESEARCH SUPERVISION | |||
1. | MS | Long Term Electricity Load Forecasting Based on Improved CNN-LSTM and Improved ELM | |
2. | MS | A Short Term Electricity Load and Price Forecasting Model Based on BAT Algorithm in Logistic Regression and CNN-GRU with WOA | |
3. | MS | Towards Big Data Electricity Theft Detection Based on Improved RUSBoost Classifiers | |
4. | MS | A Novel Approach Using Deep Learning for Network Based Intrusion Detection System | |
5. | MS | Towards Short Term Electricity Load Forecasting using Improved Support Vector Machine and Extreme Learning Machine | |
6. | MS | PCA-CSA Based SVM Model For Early Diabetic Retinopathy Detection | |
7. | MS | Aspect Based Sentiment Analysis using Deep Learning Based Ensembler | |
8. | MS | Potatoes Classification Using Machine Learning And Deep Learning Techniques | |
9. | MS | Hand Carry Weapon Classification Using Transfer Learning | |
10. | MS | A Novel Approach Using Deep Learning for Network Based Intrusion Detection System | |
11. | MS | Power System Fault Diagnosis using Deep Learning Approach | |
12. | MS | A Novel Aproach for Text Classification of Roman-Urdu Using CNN-Based Ensembler |
JOURNAL PUBLICATIONS | |||
1. | Muhammad Irfan, Nasir Ayub et al. “Electricity Load and Utility Price Forecasting using Advanced Metering Infrastructure in Future Smart Grids: Design Insights and Performance Trade-offs”, CMC COMPUTERS MATERIALS & CONTINUA 72, no. 1 (2022). [Submitted to Elsevier] | ||
2. | 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). [Submitted to CMC] | ||
3. | Atif Hussain, Nasir Ayub et al. “Long Term Electricity Load Forecasting Based on Improved CNN-LSTM and Improved ELM” Systems and Soft Computing, Elsevier, (2022). [Submitted to Elsevier] | ||
4. | 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. | ||
5. | 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. | ||
6. | 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). | ||
7. | Saleh Albahli, Nasir Ayub et al.,“Coronavirus disease (COVID-19) detection using X-ray images and enhanced DenseNet.”, Applied Soft Computing 110 (2021) | ||
8. | 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) | ||
9. | 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. | ||
10. | Shahzad Aslam , Nasir Ayub, et. al. ,“Toward Electric Price and Load Forecasting using CNN-based Ensembler in Smart Grids”, Sustainability, 2021. | ||
11. | Akbar Ali , Nasir Ayub, Muhammad Shiraz, et. al. ,“Traffic Efficiency Models for Urban Traffic Congestion Control: A Survey”, Sustainability, 2021. | ||
12. | 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): 1811 | ||
13. | Khursheed Aurangzeb , Nasir Ayub, Musaed Alhussein,“Aspect Based Multi-labeling using SVM Based Ensembler”, IEEE Access, 2021. | ||
14. | Albahli, Saleh, Muhammad Shiraz, and Nasir Ayub. “Electricity Price Forecasting for Cloud Computing Using an Enhanced Machine Learning Model.” IEEE Access 8 (2020): 200971-200981 | ||
15. | Nasir Ayub, Muhammad Awais, Usman Ali, Tariq Ali, Muhammad Irfan, Grzegorz M. Królczyk, Adam Glowacz. “Big Data Analytics for Short and Medium Term Electricity Load Forecasting using AI Techniques Ensembler.” Submitted in Energies (2020) | ||
16. | 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, [IF=2.78] |
CONFERENCE PUBLICATIONS | |||
1. | 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. | ||
2. | Sheraz Aslam, Herodotos Herodotou, Nasir Ayub, and Syed Muhammad Mohsin. “Deep Learning based Techniques to Enhance the Performance of Microgrids: A Review.” In 2019 International Conference on Frontiers of Information Technology (FIT), pp. 116-1165. IEEE, 2019. | ||
3. | Muhammad Talha Islam, Fahad Ahmed, Adia Khalid, Tanzila Saba, Nasir Ayub, and Nadeem Javaid. “Electricity Load and Price Forecasting using Enhanced Artificial Neural Network.” 1st International Conference on Computing (ICC 2019), Riyadh, Saudi Arabia. | ||
4. | Ali, Mughees, Nasir Ayub, Zainib Noshad, Amjad Rehman, Sana Mujeeb, and Nadeem Javaid. “Short-Term Electricity Price and Load Forecasting using Enhanced Support Vector Machine 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 Vector Machine”, 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 Heuristic Algorithms”, 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 2017 | ||
9. | 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), 2017 | ||
10. | 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), 2017 | ||
11. | 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), 2017 | ||
12. | 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 |