About me
Dr. Md. Saiful Islam
Welcome to my page! Currently, I am a Lecturer (Big Data Analytics) in the School of Information Technology at Griffith University, Gold Coast, Australia. I also hold an adjunct research fellow position in Swinburne University of Technology, Melbourne, Australia. Before joining in Griffith, I was a Research Fellow in the School of Engineering and Mathematical Sciences, La Trobe University, Australia from May 2016 to Jan 2017 and Research Associate in the Department of Computer Science and Software Engineering at Swinburne from Nov 2013 to Apr 2016. I received PhD in Computer Science and Software Engineering from Swinburne University of Technology in Feb 2014. My PhD thesis "On Answering WHY and WHY-NOT Questions in Databases" was in Database Usability and Data Analytics, which resulted in a Australian Research Council Discovery Project DP140103499 (2014-2016). I received FICT Dean’s Award Research Excellence (2nd prize), Swinburne University of Technology in 2013 based on my ICDE 2013 paper "On Answering WHY-NOT questions in reverse skyline queries". Recently, I have received the best paper award in ACM SSDBM 2017 for the paper "Computing Influence of a Product through Uncertain Reverse Skyline".My teaching interest includes (not limited to):
Theory of Computing, Data Structure and Algorithms
Responsive Web Design and Web Application Development
Software Design, Planning and Management (SCRUM)
Structured and Object Oriented Programming
Database Management, Architecture and Administration
Data Mining Concepts and Techniques
Machine Learning and Information Retrieval
Data Science and Advanced Data Analytics
Business Information System Modeling and System Analysis
Customer, Operation and People Analytics
Database Usability: WHY and WHY-NOT Query
No-But-Semantic-Match Query Processing
Data Science and Parallel Data Analytics
Advanced Query: Data Indexing and Processing
Graph Data Management: Models and Approximations
Product Sustainment: Models and Algorithms
NewNeighbourhood Query Processing: Indexing and Algorithms
NewSport Analytics: Technology, Innovation and Prediction
Actively looking for research enthusiastic students and collaborators to work with for solving interesting data science and engineering problems. Contact me if you are persistent and want to showcase your work in venues such as ICDE*/TKDE*, PVLDB/VLDBJ*, SIGMOD/TODS, (Elsevier) Information Systems, CIKM*, WWW/WWWJ*, EDBT/ICDT, ICDM, SDM, DMKD, SSDBM*, Geoinformatica, KAIS and other flagship data eng./mining conferences and journals ("*" denotes my appearances). Skim through my projects page before contacting me!
Best Paper Award:
M.S. Islam, W. Rahayu, C. Liu, T. Anwar and B. Stantic, Computing Influence of a Product through Uncertain Reverse Skyline, Proc. of the 29th Intl. Conf. on Scientific and Statistical Database Management (SSDBM), pp. 4:1-4:12, 2017.
Research Grants:
NewGriffith University New Researcher Grant: Framework for Computing Top-k Most Important Targets/Aspects from Tourism Opinions, AUD 9,727 for 2018. Chief investigator and writer of the proposal.
Australian Research Council Discovery Grant (DP140103499): On Effectively Answering Why and Why-not Questions in Databases, AUD 373,250 for 2014-2016. Writer of the Proposal and Research Associate, March 2014-April 2016.
PhD Supervision:
Current PhD Students (Students who are currently working towards their PhD thesis):
Humayun Kayesh (with Griffith University, 2018 ~ present): Semantic Sentiment Analysis of Sport Related Twitter Data
Ryoma Ohira (with Griffith University, 2017 ~ present): Framework for Adaptive and Modular Genetic Algorithms
Shikha Anirban (with Griffith University, 2018 ~ present): Multilevel Graph Compression for optimizing different types of Pattern Queries
Agnes Haryanto (with Monash University, 2015 ~ present): Best Path Queries in Road Networks
Nasser Allheeib (with Monash University, 2016 ~ present): Neighborhood Query Processing in Spatial Data
PhD Graduates (Doctors who have graduated already):
Dr. Mehdi Naseriparsa (with Swinburne University of Technology, 2015 ~ 2018): "On Improving the Usability of Exploration over Semi-Structured Data", graduated in May 31, 2018!
Recent News (Archives):