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Sameer Alam

University of New South Wales

The University of New South Wales, Sydney NSW, Australia
4.60/5 · 5 reviews

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5.008/20/2025

Makes even hard topics easy to grasp.

4.005/21/2025

Inspires confidence and independent thinking.

5.003/31/2025

Always clear, concise, and insightful.

4.002/27/2025

Encourages critical thinking and analysis.

5.002/17/2025

Makes every class a rewarding experience.

About Sameer

Sameer Alam earned his PhD in Computer Science, specializing in machine learning, from the University of New South Wales (UNSW) in 2008, and an M.Tech in Computer Science from Birla Institute of Technology, Mesra, in 1999. He joined UNSW Canberra in the School of Engineering and Information Technology as University Lecturer, equivalent to Assistant Professor, in 2011 and was promoted to Senior Lecturer, equivalent to Associate Professor and titled Senior Lecturer in Aviation, in 2015. His postdoctoral research on AI algorithms for advanced air traffic concepts was funded by Eurocontrol's CARE Innovative Research Grant from 2009 to 2010 and Airservices Australia's ARC Linkage Grant from 2010 to 2011. Alam served as a visiting scientist at NASA Ames Research Center in 2011 and at École Nationale de l’Aviation Civile in Toulouse, France, from 2016 to 2017.

Alam's research at UNSW centered on artificial intelligence and simulation for air traffic management, including development of the Air Traffic Operations and Management Simulator (ATOMS), the first system integrating air traffic modeling with aircraft noise and emissions data to enable direct flight paths, reducing fuel consumption by up to 500 kg and noise by 35% on typical Sydney-Melbourne Boeing 747 flights. His work addressed airspace collision risk hot-spot identification, Australian airport network robustness via complex network analysis, ADS-B vulnerabilities, dynamic airspace sectorization, and lateral airway offset optimization using differential evolution. Key publications include "A complex network approach towards modeling and analysis of the Australian Airport Network" (2017), "Identification of ADS-B system vulnerabilities and threats" (2010), "A multi-objective approach for dynamic airspace sectorization using agent based and geometric models" (2012), "Atoms: Air traffic operations and management simulator" (2008), and "Predictive classification and understanding of weather impact on airport performance through machine learning" (2021). He received the 2011 ACT Young Tall Poppy of the Year Award, ANU Science Medal, and 2008 Fresh Science Award for his contributions to safer, greener aviation. Alam authored over 200 peer-reviewed publications, earned multiple best paper awards, and consulted for ICAO and others, impacting global air traffic safety and efficiency.