• Home
  • Faculty Member
  • Dr. Muhammad Affan Alim

Dr. Muhammad Affan Alim

Associate Professor

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

About

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.

Area of Expertise

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

Publications & Research Work

Dr. Muhammad Shahnawaz Adil

Dr. Muhammad Shahnawaz Adil is an Associate Professor of Leadership and Strategic Management at Iqra University, Karachi. He holds more than 17 years of full-time university teaching, research, mentorship, and graduate thesis supervision experience. Additionally, he has been serving as the Cluster Head (Management) since January 2020 at the Main Campus. He is currently a member of the advisory and review boards of 18 national and international scholarly journals. 

He has presented various research ideas at international conferences abroad and has published over 25 research papers in national and international journals with 700+ Google citations. He has also authored a monograph on Leadership and Strategy published in Germany. He is an HEC-approved PhD supervisor and five Ph.D. candidates are going to complete their doctoral thesis under his sole supervision. In addition to supervising several industrial projects, 32 MPhil and hundreds of MBA students have successfully passed their research thesis in the Management discipline under his sole supervision. His research interests include the dark side of leadership, workplace mistreatment, multilevel modeling, and creative performance in higher education. He completed a ten-day comprehensive Training of Trainers conducted by Sindh HEC in May 2023.

Dr. Shahnawaz earned his Ph.D. degree in Management from an AACSB and AMBA-accredited business school of Malaysia in 2021. Earlier, he received his MPhil from Iqra University, a ‘triple-crown’ (AACSB, AMBA, and EQUIS-accredited) MBA from Newcastle University (UK), Postgraduate Diploma from Stratford College London (UK), and B.Sc. (Honours) with Distinction from London Metropolitan University, UK. He has secured seven consecutive distinctions in his academic career and has clinched First Class First Position at Sindh Board of Technical Education. He has been associated with Iqra University as a permanent faculty member in the Department of Business Administration since August 2008. His main hobbies include horse-riding, playing scrabble, cooking, bird-farming, and long driving.

  • 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)