Mr. Umair Muneer Butt

Academic Position:

Lecturer

Teaching Interests:

Computer Science, Data Science, Artificial Intelligence

Fields of Research (FoR):

Machine Learning, Data Mining, Data Science

Keywords:

Prediction, Forecasting, Clustering, Spatio-temporal, Ensemble, Time series Forecasting

Department:

Contact Details:

Social Links

Student Advising Schedule:

Monday 10:00 am – 04:00 pm (For Subjects) Thursday 10:00 am – 04:00 pm (For FYP Office)

BIOGRAPHY

UMAIR MUNEER BUTT received his BS. degree in CS from GIFT University, Pakistan, in 2012, and the MS. degree in CS from the National University of Sciences and Technology (NUST), Pakistan, in 2016. He is currently a Ph.D. Student with the School of Computer Sciences, University Sains Malaysia (USM), Malaysia. He has more than eight years of teaching and research experience in data mining, machine learning, data science, and image processing. He has served as a research associate for more than five years and worked on different real-world applications. Recently, he secured a Fundamental Research Grant Scheme (FRGS) from the Malaysian Government for crime predictions. He has authored several journals, conferences, and book chapters in well-reputed journals during his career. His current research interests include data science, data mining, and machine learning.

ACADEMIC APPOINTMENTS

No.  Designation Year  Experience  School/Institute/University
1. Lecturer May 2022 Continue The University of Chenab, Gujrat
2. Lecturer  2018 April 2022 University of Lahore, Gujrat 
3. Lecturer (Visiting) 2020 1 Year University of Management and Technology (UMT), Sialkot
4.  Lecture (Visiting) 2016-2018 2 years  The GIFT University, Gujrawala
5.  Lecturer 2016-2018 2 Years University of Gujrat, Sialkot campus
6. Research Associate 2013-2014 1.5 Year LUMS, Lahore
7. Research Assistant (Contract) 2012-2013 1 year UET, Lahore 

MY QUALIFICATIONS

No.  Degree / Program of Study Name Year Awarding Body/University/Institute
1 PhD (CS) 2019-Continued Universiti Sains Malaysia, Malaysia
2 MS (CS) 2014-2016 NUST, Islamabad
3 BS (CS) 2008-2012 The GIFT University, Gujrawala

MY RESEARCH ACTIVITIES: JOURNALS ARTICLES / BOOK CHAPTERS / PATENTS

No.Title Details
1

Hybrid of deep learning and exponential smoothing for

enhancing crime forecasting accuracy

Umair Muneer Butt, Sukumar Letchmunan, Fadratul Hafinaz Hassan, Tieng Wei Koh (2022). Hybrid of deep learning and exponential smoothing for enhancing crime forecasting accuracy. Plos ONE
2Spatio-temporal crime predictions by leveraging artificial intelligence for citizens security in smart citiesButt, U. M., Letchmunan, S., Hassan, F. H., Ali, M., Baqir, A., Koh, T. W., & Sherazi, H. H. R. (2021). Spatio-temporal crime predictions by leveraging artificial intelligence for citizens security in smart cities. IEEE Access, 9, 47516-47529.
3Spatio-temporal crime HotSpot detection and prediction: a systematic literature review. Butt, U. M., Letchmunan, S., Hassan, F. H., Ali, M., Baqir, A., & Sherazi, H. H. R. (2020). Spatio-temporal crime HotSpot detection and prediction: a systematic literature review. IEEE Access, 8, 166553-166574.
4Feature based algorithmic analysis on American sign language dataset. Butt, U. M., Husnain, B., Ahmed, U., Tariq, A., Tariq, I., Butt, M. A., & Zia, M. S. (2019). Feature based algorithmic analysis on American sign language dataset. Int. J. Adv. Comput. Sci. Appl, 10, 583-589.
5Machine Learning Based Diabetes Classification and Prediction for Healthcare Applications. Butt, U. M., Letchmunan, S., Ali, M., Hassan, F. H., Baqir, A., & Sherazi, H. H. R. (2021). Machine Learning Based Diabetes Classification and Prediction for Healthcare Applications. Journal of healthcare engineering, 2021.
6Automatic signature segmentation using hyper-spectral imaging. Butt, U. M., Ahmad, S., Shafait, F., Nansen, C., Mian, A. S., & Malik, M. I. (2016, October). Automatic signature segmentation using hyper-spectral imaging. In 2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR) (pp. 19-24). IEEE.
7Mobile cloud computing future trends and opportunities. Umair, S., Muneer, U., Zahoor, M. N., & Malik, A. W. (2016). Mobile cloud computing future trends and opportunities. In Managing and processing big data in cloud computing (pp. 105-120). IGI Global.
8Mobile computing: issues and challenges. Umair, S., Muneer, U., Zahoor, M. N., & Malik, A. W. (2015, December). Mobile computing: issues and challenges. In 2015 12th international conference on high-capacity optical networks and enabling/emerging technologies (HONET) (pp. 1-5). IEEE.
9Educational data classification framework for community pedagogical content management using data mining. Mushtaq, H., Siddique, I., Malik, B. H., Ahmed, M., Butt, U. M., Ghafoor, R. M. T., … & Farooq, U. (2019). Educational data classification framework for community pedagogical content management using data mining. Int. J. Adv. Comput. Sci. Appl, 10(1), 329-338.
10An Enhanced Firefly Algorithm using Pattern Search for Solving Optimization Problems.F Wahid, MS Zia, RNB Rais, M Aamir, UM Butt, M Ali, A Ahmed, IA Khan et al. “An Enhanced Firefly Algorithm using Pattern Search for Solving Optimization Problems”. IEEE Access, August 2020, Vol. 8, 148264-148288.
11Deep Learning-Based Growth Prediction System: A Use Case of China Agriculture. Khan, T., Sherazi, H. H. R., Ali, M., Letchmunan, S., & Butt, U. M. (2021). Deep Learning-Based Growth Prediction System: A Use Case of China Agriculture. Agronomy, 11(8), 1551.
12A Deep Insight into Signature Verification Using Deep Neural Network. Butt, U. M., Masood, F., Razzaq, S., Dar, Z., Azhar, S., Abbas, I., & Ahmad, M. (2020, September). A Deep Insight into Signature Verification Using Deep Neural Network. In Proceedings of SAI Intelligent Systems Conference (pp. 128-138). Springer, Cham.
13Ensemble Usage for Classification of EEG Signals A Review with Comparison.Z Unnisa, S Zia, UM Butt, S Letchmunan, S Ilyas. “Ensemble Usage for Classification of EEG Signals A Review with Comparison.” In International Conference on Human-Computer Interaction, pp. 189-208. Springer, Cham, 2020
14Predicting the Future Transaction from Large & Imbalanced Banking DatasetS Ilyas, S Zia, UM Butt, S Letchmunan, Z un Nisa. “Predicting the Future Transaction from Large & Imbalanced Banking Dataset”, International Journal of Advanced Computer Science and Applications, Volume 11 Issue 1, 273-286 January 2020.
15Analysis of Deep Neural Networks For Human Activity Recognition in Videos–A Systematic Literature Review. Ullah, H. A., Letchmunan, S., Zia, M. S., Butt, U. M., & Hassan, F. H. (2021). Analysis of Deep Neural Networks For Human Activity Recognition in Videos–A Systematic Literature Review. IEEE Access.
16Detecting video surveillance using VGG19 convolutional neural networks. Butt, U. M., Letchmunan, S., Hassan, F. H., Zia, S., & Baqir, A. (2020). Detecting video surveillance using VGG19 convolutional neural networks. Int. J. Adv. Comput. Sci. Appl., 11(2), 674-682.
17Model for Predicting Educational Domain Rate based on the Regional Level. Tariq, A., Tariq, I., Abbas, A., Butt, M. A., Shahid, M., & Butt, U. M. (2018). Model for Predicting Educational Domain Rate based on the Regional Level. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 9(9), 88-92.
18Classification of Non Discriminant ERD/ERS Comprising MI EEG SignalsZ unnisa Asif, MS Zia, A Abbas, S Ilyas, UM Butt. “Classification of Non Discriminant ERD/ERS Comprising MI EEG Signals” International Journal of Advanced Computer Science and Applications, Volume 11 Issue 1, 364-375, January 2020.
19Causal Impact Analysis on Android Market.AmanUllah, H., Fatima, M., Muneer, U., Ilyas, S., Rehman, R. A., & Afzal, I. Causal Impact Analysis on Android Market. https://dx.doi.org/10.14569/IJACSA.2019.0100644

MY RESEARCH SUPERVISION:

Areas of Co-Supervision  Machine Learning / Data Mining/Image Processing/Data Science

Currently Supervising

Student Name Research Topic Affiliation
Saher Rajput Analysis of Clustering algorithms for crime hotspot detection UOL
Sufiyan and Uzair Prostate Cancer detection and prediction UOL
Yasan, Adnan, and Warisha Intrusion line detection and crime prediction UOL

Completions

Student Name Research Topic Affiliation
M. Awais Crime hotspot detection using Cluster ensemble: A novel Technique UOL
M. Qasim Crime predictions using transfer learning UOL
Hadiqa Aman Ullah Analysis of Deep Neural Networks For Human Activity Recognition in Videos UOL
Anees Baqir Crime hotspot detection and prediction using HDBSCAN and SARIMA UOL
Sadaf Ilyas Predicting the future transaction from large and imbalanced banking dataset UOL
Zaib Un Nisa Classification of Non-Discriminant ERD/ERS Comprising Motor Imagery Electroencephalography Signals UOL

MY TEACHINGS:

Course Information (Name/Code) Year Taught Program (BS/MS/PhD) University /Institute
Computer Programming 2016 – 2017 BS SE University of Gujrat
Machine Learning 2016-2017 BSCS University of Gujrat
Data Mining 2016-2017 BSCS University of Gujrat
Theory of Automata 2017-2018 BSCS The GIFT University 
Compiler Construction 2017-2018 BSCS The GIFT University 
Computer Programming 2018 BS SE/CS University of Lahore, Gujrat
Data Structures and Algorithms 2018 – 2019 BS SE/CS University of Lahore, Gujrat
Web Engineering 2018-2019 BS SE/CS University of Lahore, Gujrat
Data Mining 2018 – 2019 BS SE/CS MSCS University of Lahore, Gujrat
Machine Learning 2018 – 2019 BS SE/CS MSCS University of Lahore, Gujrat
Probability and Statistics  2020 BS Software Engineering University of Lahore, Gujrat
Data Mining 2020 MS CS University of Lahore, Gujrat
Bio Statistics  2020-2021 BS Pharmacy University of Lahore, Gujrat
Machine Learning  2020-2021 BS CS University of Lahore, Gujrat
OOP  2020-2021 BS CS University of Lahore, Gujrat
Machine Learning 2021-2022 BS SE/CS University of Lahore, Gujrat