Dr. Muhammad Awais Shafique

Dr. Muhammad Awais Shafique

Dr. Muhammad Awais Shafique

Assistant Professor

awais.shafique@ucp.edu.pk
Ext: 265

Muhammad Awais Shafique is a Civil Engineer, specialized in Transportation Engineering. He completed his B.Sc. Civil Engineering and M.Sc. Transportation Engineering from University of Engineering and Technology (UET) Lahore, Pakistan, in 2008 and 2011 respectively. He earned his PhD. in Civil Engineering from University of Tokyo, Japan as a MEXT scholar in 2015 and continued his stay there till March 2016 as a Post-Doctoral researcher. From 2009, he has been in the academic profession and was associated with UET Lahore before shifting to University of Central Punjab (UCP) in 2017. His research interests include application of machine learning and pattern recognition in transportation.

PhD Civil Engineering University of Tokyo 2015
MSc Transportation Engineering University of Engineering and Technology Lahore 2011
BSc Civil Engineering University of Engineering and Technology Lahore 2008
Assistant Professor University of Central Punjab 2017 to date
Assistant Professor University of Engineering and Technology Lahore 2016 - 2017
Lecturer University of Engineering and Technology Lahore 2009 - 2016
1Shafique, M. A. and Hato, E. Incorporating MNL model into Random Forest for Travel Mode Detection, Mehran University Research Journal of Engineering and Technology [Submitted]
2Shafique, M. A. Afzal, M. S. Riaz, N. and Ahmed A. Public Perception regarding Autonomous Vehicles in Developing Countries: A Case study of Pakistan, Pakistan Journal of Engineering and Applied Sciences [Accepted]
3Shafique, M. A. and Hato, E. A Review of Automatic Travel Mode Detection Methods, Mehran University Research Journal of Engineering and Technology [Accepted]
4Shafique, M. A. and Hato, E. Improving the Accuracy of Travel Mode Detection for low Data Collection Frequencies, Pakistan Journal of Engineering and Applied Sciences [Accepted]
5Shafique, M. A. and Hato, E. Predicting The Mode Of Transportation Using GPS Data, For Vehicular Carbon Footprint Determination, International Journal of Engineering Research and Applications, 8 (10), 70-72 (2018)
6Shafique, M. A. and Hato, E. Travel Mode Detection with Varying Smartphone Data Collection Frequencies. Sensors 16, no. 5, 716 (2016)
7Shafique, M. A. and Hato, E. Use of acceleration data for transportation mode prediction, Transportation, 42(1), 163-188, (2015)
8Masood, R. Mehboob, A. Shafique, F. Shafique, M. A. Zafar, B. Maqsoom, A. and Ullah, Z. Investigating the Delay Factors of Construction Projects in Metropolitan City of a Developing Country. Journal of Civil Engineering and Architecture Research, 2(9), 947-955, (2015)
9Shafique, M. A. Hato, E. and Yaginuma, H. Using Probe Person Data for Travel Mode Detection, International Journal of Computer, Information, Systems and Control Engineering, 8(10), 1482 – 1486, (2014)
10Shafique, M. A. and Hato, E. Formation of Training and Testing Datasets, for Transportation Mode Identification. Journal of Traffic and Logistics Engineering, 3(1), 77-80, (2015)
11Shafique, M. A. and Qayyum, T. I. Comparison of Bearing Capacity Equations for vertical central loading, First International Conference on Geotechnique, Construction Materials and Environment (GEOMAT), Mie, Japan. (Nov. 2011)
12Shafique, M. A. and Hato, E. Formation of Training and Testing Datasets, for Transportation Mode Identification, 4th International Conference on Traffic and Transportation Engineering, Madrid, Spain. (May 2015)
13Shafique, M. A. and Hato, E. Optimum Training Sample Size for Travel Mode Detection using Smartphone, Annual International Conference on Transportation, Athens, Greece. (June 2015)
14Shafique, M. A. and Hato, E. A Comparison among various Classification Algorithms for Travel Mode Detection using Sensors’ data collected by Smartphones, 14th International Conference on Computers in Urban Planning and Urban Management, CUPUM 2015, MIT, Cambridge, Massachusetts. (July 2015)
15Shafique, M. A. and Hato, E. Modelling of Accelerometer Data for Travel Mode Detection by Hierarchical Application of Binomial Logistic Regression. Transportation Research Procedia 10, 236-244, (2015), 18th Euro Working Group on Transportation, EWGT 2015, Delft, The Netherlands. (July 2015)
16Shafique, M. A. and Hato, E. Classification of Travel Data with Multiple Sensor Information using Random Forest. Transportation Research Procedia 22, 144-153, (2017), 19th Euro Working Group on Transportation, EWGT 2016, Istanbul, Turkey. (Sep. 2016)
17Shafique, M. A. Hato, E. and Yaginuma, H. Using Probe Person Data for Travel Mode Detection, International Conference on Signal Processing, Pattern Recognition and Applications, Osaka, Japan. (Oct. 2014)
18Shafique, MA, Eiji Hato and Hideki Yaginuma. Optimum Feature Extraction Window Size for the Purpose of Travel Mode Detection using Smartphone's Accelerometer, 12th ITS Symposium 2014, Tohoku University, Sendai. (Dec 2014)
19Shafique, M. A. and Hato, E. A Review of Travel Data Collection Methods. 17th International Conference on Civil Engineering and Applied Mechanics, Paris, France. (April 2015)
20Shafique, M. A. and Hato, E. Predicting the Mode of Transportation using GPS data, for Vehicular Carbon Footprint determination, Fifth International Conference on Infrastructure Engineering in Developing Countries, Karachi, Pakistan (July 2017)
21Saeed, T. Raza, K. Asghar. S. and Shafique, M. A. Detection of Motorized and Non-motorized Modes using Smartphones, Fifth International Conference on Infrastructure Engineering in Developing Countries, Karachi, Pakistan (July 2017)

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