Discriminant Analysis using Ant Colony Optimization – An Intra-Algorithm Exploration
Ali, H., & Kar, A. K. (2018). Discriminant analysis using ant colony optimization–an intra-algorithm exploration. Procedia computer science, 132, 880-889.
CV
A summary of my research background is given below. For the complete CV, kindly email me.
Education
- Ph.D in Data-Driven Airport Operations Optimization, Nanyang Technological University, Singapore, 2022
- M.Tech. in Construction Project Management, Indian Institute of Technology Delhi, 2018
- B.Tech. in Mechanical Engineering, Manipal Institute of Technology, Karnataka, 2014
Graduate research experience
- September 2017 to May 2018: Research Assistant
- IIT Delhi
- Task: Analyse data on indian road accidents extracted from 30 national/regional newspaper reports
- Project : Crash analyses on Indian roads
- Supervisor: Emeritus Prof. Dinesh Mohan
Selected Publications (as First Author)
Impact of Stochastic Delays, Turnaround Time and Connection Time on Missed Connections at Low Cost Airports
Ali, H., Guleria, Y., Alam, S., Duong, V. N., & Schultz, M. (2019). Impact of stochastic delays, turnaround time and connection time on missed connections at low cost airports. In Proc. 13th USA/Eur. Air Traffic Management R&D Seminar.
A Passenger-centric Model for Reducing Missed Connections at Low Cost Airports with Gates Reassignment
Ali, H., Guleria, Y., Alam, S., & Schultz, M. (2019). A passenger-centric model for reducing missed connections at low cost airports with gates reassignment. IEEE Access, 7, 179429-179444.
Dynamic Hot Spot Prediction by Learning Spatial-Temporal Utilization of Taxiway Intersections
Ali, H., Delair, R., Pham, D. T., Alam, S., & Schultz, M. (2020, February). Dynamic hot spot prediction by learning spatial-temporal utilization of taxiway intersections. In 2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation (AIDA-AT) (pp. 1-10). IEEE.
Deep Reinforcement Learning Based Airport Departure Metering
Ali, H., Thinh, P. D., & Alam, S. (2021, September). Deep Reinforcement Learning Based Airport Departure Metering. In 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) (pp. 366-371). IEEE.
Integrated Airside Landside Framework to Assess Passenger Missed Connections with Airport Departure Metering
Ali, H., Pham, D. T., Alam, S., & Schultz, M. (2022). Integrated airside landside framework to assess passenger missed connections with airport departure metering.
A Deep Reinforcement Learning Approach for Airport Departure Metering under Spatial-Temporal Airside Interactions
Ali, H., Pham, D. T., Alam, S., & Schultz, M. (2022). A Deep Reinforcement Learning Approach for Airport Departure Metering Under Spatial–Temporal Airside Interactions. IEEE Transactions on Intelligent Transportation Systems.
Talks
Data Exploration & Visualisation Workshop With Python
Workshop at Online (Zoom), Nanyang Technological University
Death by PowerPoint: Online Workshop on Making Effective Presentations
Workshop at Online (Microsoft Teams), Nanyang Technological University, Singapore
Data Driven And Learning Based Approaches For Integrated Landside Airside Operations Optimization
Talk at Nanyang Technological University, Singapore
Intelligent Airport Congestion Management
Talk at Online Zoom, Australia
Teaching
Research Service
I am currently a reviewer for the following conferences/journals.
- Artificial Intelligence Review
- Air Traffic Management R&D Seminar
- IEEE Intelligent Transportation Systems Conference
- Winter Simulation Conference
- IEEE Access
- Journal of Air Transportation