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Personal profile

Biography

Muhammad Aamir Cheema is currently a Lecturer (since Nov-2013) at Monash University, Melbourne. Prior to this, he was a Research Fellow (2011-2013) at School of Computer Science and Engineering at The University of New South Wales (UNSW), Australia. He obtained his Ph.D. degree (2008-2011) under the joint supervision of Prof. Xuemin Lin and Dr. Wei Wang from UNSW, Australia.

His Ph.D. thesis studied efficient processing of proximity-based spatial queries such as reverse k nearest neighbors queries, range queries and k-closest pairs queries. The thesis was awarded 2012 Malcolm Chaikin Prize for Research Excellence in Engineering. His current research interests include spatial databases, uncertain databases, data privacy and data quality.

Before he started his Ph.D., he served as Associate Lecturer at School of Computer Science and Engineering, University of New South Wales, Australia. He taught Database Systems (COMP9311) in 07s2. He received his Masters by Research degree in Computer Science and Engineering from UNSW, Australia (2005-2007) under the supervision of Prof. Xuemin Lin. The research problem addressed in the thesis was related to Nearest Neighbor Queries in Spatio-Temporal Databases. Interested readers can read this thesis (in the form of HTML pages) or as a pdf file. He completed his Bachelor of Electrical Engineering (specialisation in Computers) from UET Lahore, Pakistan, from 2001 to 2005.

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Research interests

My current research interests include spatial databases, mobile and pervasive computing, computational geometry and uncertain databases. Currently, I am working on two research projects related to location-based services (LBS).

1. Next-Generation Spatial Keyword Search

The exponentially growing interest in location-based services and the availability of geo-tagged data call for a highly usable, spatial keyword search system that efficiently answers various location-based keyword queries. The aim of the project is to build the next-generation spatial keyword search system that addresses several limitations in the current systems by allowing more meaningful distance measures, modeling uncertainty in data sources and queries, and exploiting rich information from several data sources. The outcome of the project will be new theories, models, methodologies, and a prototype system that is highly usable and efficient, hence enabling more effective and efficient location-based applications.


2. Efficiently Querying Uncertain Spatial Space

Location-based services are becoming increasingly popular due to exponentially increased usage of smartphones and cheap wireless network. This project aims to provide effective and efficient techniques to solve the most representative location-based queries in uncertain spatial space with probabilistic constraints. The constraints can be modified to model various important travelling domains such as road networks, Euclidean space with obstacles and indoor space etc. The project also takes into account the uncertainty present in the real world data. The successful completion of the project will enhance the location-based services used by a broad class of users and applications.

Monash teaching commitment

Dr Aamir Cheema has experience as the Lecturer for the following units in the Faculty of IT:

  • FIT1004 Data management
  • FIT3107 Advanced programming for database applications

Research area keywords

  • Databases
  • uncertain data
  • computational geometry
  • spatial databases

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2013 2023

Research Output 2007 2019

Density-based reverse nearest neighbourhood search in spatial databases

Allheeib, N., Islam, M. S., Taniar, D., Shao, Z. & Cheema, M. A., 2019, (Accepted/In press) In : Journal of Ambient Intelligence and Humanized Computing. 12 p.

Research output: Contribution to journalArticleResearchpeer-review

IG-Tree: an efficient spatial keyword index for planning best path queries on road networks

Haryanto, A. A., Islam, M. S., Taniar, D. & Cheema, M. A., 2019, (Accepted/In press) In : World Wide Web-Internet and Web Information Systems. 41 p.

Research output: Contribution to journalArticleResearchpeer-review

An efficient approximation algorithm for multi-criteria indoor route planning queries

Salgado, C., Cheema, M. A. & Taniar, D., 2018, 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS 2018): Tuesday November 6 - Friday November 9, 2018 — Seattle, Washington, USA. Banaei-Kashani, F., Hoel, E., Guting, R. H., Tamassia, R. & Xiong, L. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 448-451 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Continuous monitoring of range spatial keyword query over moving objects

Salgado, C., Cheema, M. A. & Ali, M. E., May 2018, In : World Wide Web-Internet and Web Information Systems. 21, 3, p. 687-712 26 p.

Research output: Contribution to journalArticleResearchpeer-review

Foreword

Cheema, M. A., Yang, S. & Shao, Z., 2018, Proceedings of the 9th ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness (ISA-2018): November 6th, 2018, Seattle, Washington, USA. Aamir Cheema, M., Yang, S. & Shao, Z. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 3 1 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

Activities 2016 2016

  • 1 Committees and working groups

Member - Faculty Research Committee - Faculty of Information Technology, Monash University

Aamir Cheema (Member)
1 Jan 2016

Activity: External Academic EngagementCommittees and working groups