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Dr. Muhammad Affan Alim

Associate Professor

Iqra University

Education

Ph.D. (Computer Science) from Karachi Institute of Economics and Technology

MS (Computer Science) from Mohammad Ali Jinnah University

MSc. (Applied Physics) from University of Karachi

BSc Hons. (Mathematics) from University of Karachi

Research Interests

Computer Science
Pattern Recognition, Computer Vision, and Machine Learning
Data Science and Big Data Analytics

Biography

Affan Alim holds a BSc(hons.) degree in Mathematics from the University of Karachi and an MS degree in Computer Science from Mohammad Ali Jinnah University, Karachi. He further pursued his education and earned a Ph.D. in Computer Science in 2018 from the Karachi Institute of Economics and Technology, specializing in the domain of Machine Learning. Affan Alim has a keen interest in the fields of pattern recognition, computer vision, machine learning, data science, and Big data analytics. He has gathered extensive experience in the industry, academia, and research in the field of computer science, especially in the areas of Machine Learning, Data Science, and Big Data Analytics. With a cumulative experience of 22 years, Affan Alim has gained a diverse set of skills and knowledge in his career. His experience includes three years of web development in a UK based company in the United Kingdom. He has successfully executed numerous funding projects in Pakistan, leveraging his skills in machine learning, data science, and data analytics to make meaningful contributions to a range of projects and research endeavors.

Publications

Naseem, Imran, Affan Alim “Iris recognition using class-specific dictionaries.” Computers & Electrical Engineering 62 (2017): 178-193. (Impact Factor 4.3)
Alim, Affan, et al. “The most discriminant subbands for face recognition: A novel information-theoretic framework.” International Journal of Wavelets, Multiresolution and Information Processing 16.05 (2018): 1850040. (Impact Factor 1.4)
Affan Alim, Abdul Rafay, and Imran Naseem. “PoGB-pred: prediction of antifreeze proteins sequences using amino acid composition with feature selection followed by a sequential-based ensemble approach.” Current Bioinformatics 16.3 (2021): 446-456. (Impact Factor 4.00)
M. Zubair, Affan Alim “Reverse Image Search for Collage: A Novel Local Feature-based Framework.” IEEE Access (2023). (Impact Factor 3.9)
Khan, Khalid, Affan Alim “Air quality forecasting based on machine and deep learning models: an IoT application.” Sukkur IBA Journal of Computing and Mathematical Sciences 7.1 (2023): 1-11. (Y category)
Haris Ahmed, Affan Alim “Diabetes Diagnosis through Machine Learning: An Analysis of Classification Algorithms.” Lahore Garrison University Research Journal of Computer Science and Information Technology 7.1 (2023): 29-34. (Y category)
M. Affan Alim, Haris Ahmed, “A Comparative Study Of Heart Disease Prediction Based On Principal Component Analysis And Classification Techniques”. Webology (Y category)
Kashif Iqbal, AU Din, Affan Alim “Performance Evaluation of Environmental Sound Classification: A Machine Learning Stacking and Multi-Criteria Metrics Based Approach.” Quaid-E-Awam University Research Journal of Engineering, Science & Technology, Nawabshah. 21.01 (2023): 77-86. (Y category)
Haris Ahmed, Affan Alim “A Fuzzy Clustering-based Approach for Classifying COVID-19 Patients by Age and Early Symptom Indicators”. Lahore Garrison University Research Journal of Computer Science and Information Technology (Y category)
M. Wasim, Affan Alim “Alzheimer’s disease Detection: A deep Learning-based Approach.” Journal of Independent Studies and Research Computing 21.1 (2023). (Y category)
Baig, Hira Farman Ali, Noman Islam, and Affan Alim. “Exploring Exploring Machine Learning and Deep Learning Approaches for Disaster Prediction and Management: A Survey of Different Approaches: A Survey of Different Approaches for Disaster Prediction and Management through tweets.” Pakistan Journal of Engineering, Technology & Science 11.1 (2023): 45-73. (Y category)
Muhammad Affan, et al. “Robust heart disease prediction: a novel approach based on significant feature and ensemble learning model.” 2020 3rd International Conference on computing, mathematics, and engineering technologies (iCoMET). IEEE, 2020. (Conference)
M. Affan, et al. “Method for the secure electronic voting system: face recognition based approach.” Second international workshop on pattern recognition. Vol. 10443. SPIE, 2017. (Conference)
Alim, Affan, and Imran Naseem. “Classifier Independent Subbands Selection based on Information- Theoretic.” 2018 8th IEEE International Conference on Control System, Computing and Engineering (ICCSCE). IEEE, 2018. (Conference)
Imran Naseem, and M. Affan Alim. “Robust face recognition using a fusion of multiscale experts.” Fourth International Conference on Digital Image Processing (ICDIP 2012). Vol. 8334. SPIE, 2012. (Conference)

IU ORIC is thrilled to announce that 4 innovative packaging designs from IU have been granted design patents by the Intellectual Property Organization of Pakistan (IPO). A special endorsement to Dr. Baber Khan from the Media Sciences Department for his exceptional contributions.

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