Profile

I am founder and director of Data Science Research Group (DSRG) at Auckland University of Technology. I am a Senior Lecturer in School of Computer and Mathematical Sciences and Associate Professor in Department of Computer Science, NCBA&E Multan Campus. I received my PhD degree in Computer Science from The University of Auckland and have been awarded a best PhD thesis of the year. The title of my PhD research was “Efficient Joins to Process Stream Data”. Before that I have done my Master’s degree with distinction. I have about fifteen years research, industrial and teaching experience. As an outcome of my research, I published one book and more than 50 peer reviewed journals, conferences and workshops papers including in IEEE, ACM, and VLDB. My recent research has been published in Information Systems and in Journal of Computational and Applied Mathematics which are ranked A* and A respectively in Computing Research and Education Association (CORE). I have been reviewing for well-known journals and conferences in my area and have also served as a workshop chair in IEEE-ICDIM 2015. I have been invited to be a keynote speaker in IEEE INTECH 2016 and ICDIM 2013. I am organising an IEEE workshop IWDS since 2013. I also involve in doing research with my industry partners in New Zealand. I am an active ACM and IEEE member.


Research Interests

My primary research interests are:

  • Data Science
  • Big Data Management
  • Data Stream Processing
  • Active Databases
  • Real-time Data Warehousing
  • Data Mining and Machine Learning


Teaching

The key objective of my teaching is to enhance the skills of the students at both academic and professional level. In my opinion the major outcome of teaching is to provide a sound knowledge of the domain area to the students. This is important for their further qualifications and to compete with today’s industry requirements. I always enjoy teaching as my profession and I believe a teacher can play an important role in the society.

A list of undergrad and postgrad level courses which I have taught in recent few years.

2017

  • Logical Database Design
  • Data Warehousing and Big Data

2016

  • Logical Database Design
  • Data Warehousing and Big Data
  • Distributed and Mobile Systems

2015

  • Logical Database Design
  • Data Warehousing and Big Data
  • Software Project Development
  • Distributed and Mobile Systems

2014
  • Logical Database Design
  • Software Engineering for Service

2013
  • Logical Database Design
  • Software Engineering for Service
  • Software Project Development

2012
  • Logical Database Design
  • Enterprise Information System


Qualifications

  • PhD in Computer Science (with best PhD Award) – The University of Auckland
  • Postdoc – The University of Auckland
  • Fellow of The Higher Education Academy (FHEA), UK
  • MS in Computer Science (with distinction) – BUITMS, Pakistan
  • MSc in Computer Science – BZU, Pakistan
  • BSc – BZU, Pakistan


Research Funding

  • SRIF AUT (~$900,000), involve in INTERACT Centre of Technology Excellence Establishment Project (2016)
  • SRIF AUT ($50,000) for project Real-time Streaming Analyticst (2016)
  • Mid-career Research Grant ($25,000) for project Bridging the Gap between Real-time Big Data and Persistent Big Data (2016)
  • DCT Contestable Research Grant ($20,000) for project Smart Shopping with Real-time Shopping Cart Analysis (2016)
  • DCT SRIF Strategic Research Grant ($20,000) for project Forecasting Frequency and Time Synchronization Fluctuations in Electrical Signals (2016)
  • Orion Precision Driven Health Grant ($5,500) for project Post Discharge Application
  • The Digital Mobility Research Group Grant ($3,000) for project A Novel Technique for Processing of Live Mobile Streaming Data with Persistent Big Data (2016)
  • DCT SRIF Strategic Research Grant ($50,000) for project Supporting Real-time Pro- cessing of Gaze Data in a Brick-and-Mortar BaM 2.0 (2015)
  • Summer Scholarship ($5,000) for project Similarity Joins for Semi-Stream Data (2014)


Funding and Awards

  • Dean's Research Excellence Award (2016)
  • Finalist VC Research Excellence Award (2016)
  • Best Faculty Teaching Award (2015)
  • Mid-career Research Award (2015)
  • Best PhD thesis award, Department of Computer Science, The University of Auckland (2012)
  • In-time PhD completion award, The University of Auckland (2011)
  • Best poster award in CS Department, The University of Auckland (2011)
  • Best poster award, Faculty of Science, The University of Auckland (2009)
  • Distinction award in MS. Computer Science, BUITMS, Pakistan (2006)


Research Group Founder


Selected Research Publications

Books

  1. M. Asif Naeem, Web Content Mining from Hidden Web: A Methodical Web mining Approach from Automated Information Extraction from Dynamic Web Pages, LAP LAMBERT Academic Publishing, (2011). (URL)

Journal Publications

  1. M. Asif Naeem, Christof Lutteroth, Gerald Weber, "A Memory-Optimal Many-To-Many Semi-Stream Join", Distributed and Parallel Databased (ranked A in Core) (under submission).
  2. Rory P. Bunker, M. Asif Naeem, Wenjun Zhang, "Improving a Credit Scoring Model by Incorporating Bank Statement Derived Features", Expert Systems With Applications (Impact Factor 2.981) (under submission)
  3. Imran Sarwar Bajwa, Riaz Ul Amin, M. Asif Neem, "Semantic Analysis of Business Rules Using Machine Learning and RDF Ontology Model", International Journal of Semantic Computing, 11(2), 2017, (ranked B in CORE).
  4. Imran Sarwar Bajwa, M. Asif Naeem, Riaz Ul Amin, "Generating BPEL from SBVR using Machine Learning", Journal of Advanced Computational Intelligence and Intelli gent Informatics (Accepted).
  5. Imran Sarwar Bajwa, Fatima Karim, M. Asif Naeem, Riaz ul Amin (2017) "A Semi Supervised Approach for Catchphrase Classification in Legal Text Documents". Journal of Computers,  12(5), pp.451-461, 2017. (Impact Factor 0.787)
  6. Perera, Rivindu, Parma Nand, and M. Asif Naeem. "Utilizing typed dependency subtree patterns for answer sentence generation in question answering systems." Progress in Artificial Intelligence, Springer, 1-15, 2017. (pdf | bibTex)
  7. M. Asif Naeem, Gillian Dobbie, Christof Lutteroth, Gerald Weber (2017), "Skewed Distributions in Semi-Stream Joins: How much can Caching help?", Information Systems, 64,63-74, 2017. (pdf | bibTex) (ranked A* in Core)
  8. Imran Sarwar Bajwa, Nadeem Sarwar, and M. Asif Naeem, "Generating EXPRESS Data Models from SBVR." A. Physical and Computational Sciences: 381, 2016.  (pdf | bibTex)
  9. M. Asif Naeem, Imran Sarwar Bajwa, and Noreen Jmail, "A Cached-Based Stream-Relation Join Operator for Semi-Stream Data Processing", International Journal of Data Warehousing and Mining (IJDWM). 12(3), pp. 14-31, 2016. (Impact Factor 1.241)  (pdf | bibTex)
  10. N. Jamil, J. Müller, M. Asif. Naeem, C. Lutteroth, G. Weber, “Extending linear relaxation for non-square matrices and soft constraints”, Journal of Computational and Applied Mathematics, 308, (May 2016), pp. 346-360 (ranked A in ARC) (pdf | bibTex).
  11. M. Asif Naeem, Noreen Jamil, “An Efficient Stream-based Join to Process End User Transactions in Real-Time Data Warehousing”, Journal of Data and Information Management (JDIM), vol. 12, no. 3, pp. 201-215, 2014. (Impact Factor 0.572) (pdf | bibTex)
  12. M. Asif Naeem, Gillian Dobbie, Gerald Weber, “Efficient Processing of Streaming Updates with Archived Master Data in Near-Real-Time Data Warehousing”, Knowledge and Information Systems, Springer-Verlag, 2013.  (Impact Factor 1.702) (pdf | bibTex)
  13. Noreen Jamil, M. Asif Naeem, “Speeding Up SOR and Kaczmarz for Constraint-based GUIs with a Warm-Start Strategy”, Journal of Multimedia Processing and Technologies (JMPT), vol. 4, no. 3, pp. 179-188, 2013. (pdf | bibTex)
  14. M. Asif Naeem, Gillian Dobbie, Gerald Weber, “HYBRIDJOIN for Near-real-time Data Warehousing”, International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 7, no. 4, pp. 21-42, 2011. (Impact Factor 1.241) (pdf | bibTex)
  15. Imran Sarwar Bajwa, Ahsan Ali Chaudhri, M. Asif Naeem, “Processing Large Data Sets using a Cluster Computing Framework”, Australian Journal of Basic and Applied Sciences (AJBAS), vol. 5, no. 6, pp. 1614-1618, 2011. (H index 17) (pdf | bibTex)
  16. M. Asif Naeem, Noreen Jamil, “A Web Smart Space Framework for Intelligent Search Engines”, International Journal of Emerging Sciences, vol. 1, no. 1, pp. 1-10, 2011. (Impact Factor 0.674) (pdf | bibTex)

Conference and Workshop Publications

  1. Hoa Nguyen, Farhaan Mirza, M. Asif Naeem, Mirza Mansoor Baig, "Detecting Falls Using a Wearable Accelerometer Motion Sensor",  Proceedings of 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MOBIQUITOUS 2017). (ranked A in CORE)
  2. M. Asif Naeem, Kim Tung Nguyen, and Gerald Weber. A multi-way semi-stream join for a nearreal-time data warehouse. Proceedings of 28th Australasian Database Conference. Springer, 2017, (ranked B in CORE).
  3. Ali Haider Hussein Ghazala, M. Asif Naeem, Farhaan Mirza, Noreen Jamil, “Uncovering Useful Patterns in Shopping Cart Data”, Proceedings of IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD 2017) (ranked B in CORE)
  4. Herman Wandabwa, M. Asif Naeem, Farhaan Mirza, “Document Level Semantic Comprehension of Noisy Text Streams via Convolutional Neural Networks”, Proceedings of IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD 2017) (ranked B in CORE)
  5. Hoa Hong Nguyen, Farhaan Mirza, M. Asif Naeem, and Minh Nguyen, “A Review on IoT Healthcare Monitoring Applications and a Vision for Transforming Sensor Data into Real-time Clinical Feedback”, Proceedings of IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD 2017) (ranked B in CORE)
  6. Herman Wandabwa, M. Asif Naeem, Farhaan Mirza, "Aspect of Blame in Tweets: A Deep Recurrent Neural Network Approach", ACM, WWW 2017. (pdf | bibTex) (ranked A* in CORE)
  7. Nawal Chanane, Farhaan Mirza, M. Asif Naeem, M. Asfahaan Mirza, "Acceptance of Technology-Driven Interventions for Improving Medication Adherence", Proceedings of International Conference on Future Network Systems and Security (FNSS), Springer, 2017. (pdf | bibTex)
  8. Erum Mehmood, M. Asif Naeem, "Optimization of cache-based semi-stream joins", Proceedings of IEEE 2nd International Conference on Cloud Computing and Big Data Analysis (ICCCBDA), IEEE, 2017. (pdf | bibTex)
  9. M. Asif Naeem, Christof Lutteroth, Gerald Weber, “Optimising Queue-based Semi-Stream Joins by Introducing a Queue of Frequent Pages”, Proceedings of 27th Australian Database Conference (ADC), Springer-Verlag, 2016.  (pdf | bibTex)
  10. Hao Gao, M. Asif Naeem, Christof Lutteroth, Gerald Weber, “S3J: A Parallel Semi-Stream Similarity Join”, Proceedings of 18th International Workshop On Data Warehousing and OLAP (DOLAP), ACM, 2015. (pdf | bibTex)
  11. M. Asif Naeem, Imran Sarwar Bajwa, Noreen Jamil, “A Cache-based Semi-Stream Join to deal with Unmatched Stream Data”, Proceedings of 26th Australian Database Conference (ADC), Springer-Verlag, 2015. (pdf | bibTex)
  12. M. Asif Naeem, Imran Sarwar Bajwa, Noreen Jamil, “A Cached-based Approach to Enrich Stream Data with Master Data”, Proceedings of 10th IEEE International Conference on Digital Information Management (ICDIM'15) 2015.
  13. M. Asif Naeem, Gerald Weber, Christof Lutteroth, Gillian Dobbie, “Optimizing Queue-based Semi-Stream Joins with Indexed Master Data”, Proceedings of 16th International Conference on Data Warehousing and Knowledge Discovery (DaWaK), Springer-Verlag, 2014. (pdf | bibTex)
  14. M. Asif Naeem, “A caching approach to process stream data in data warehouse”, Proceedings of 9th IEEE International Conference on Digital Information Management (ICDIM'14), IEEE, 2014. (pdf | bibTex)
  15. Aqsa Mahmood, Kiran Qazi, Imran Sarwar Bajwa, M. Asif Naeem, “Natural language processing based interpretation of skewed graphs”, Proceedings of 3rd International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE, 2014. (pdf | bibTex)
  16. Shabana Ramzan, Imran Sarwar Bajwa, Ikram Ul Haq, M. Asif Naeem, “A model transformation from NL to SBVR”, Proceedings of 9th IEEE International Conference on Digital Information Management (ICDIM), IEEE, 2014. (pdf | bibTex)
  17. M. Asif Naeem, Gillian Dobbie, Gerald Weber, Christof Lutteroth, “A Generic Front-Stage for Semi-Stream Processing”. Proceedings of ACM 22nd International Conference on Information and Knowledge Management (CIKM), ACM, 2013. (pdf | bibTex)
  18. M. Asif Naeem, Gillian Dobbie, Gerald Weber, Christof Lutteroth, “SSCJ: A Semi-Stream Cache Join using a Front-Stage Cache Module”. Proceedings of 15th International Conference on Data Warehousing and Knowledge Discovery (DaWaK), Springer-Verlag, 2013. (pdf | bibTex)
  19. M. Asif Naeem, “Efficient Processing of Semi-Stream Data”, Proceedings of 8th IEEE International Conference on Digital Information Management (ICDIM), IEEE, 2013. (pdf | bibTex)
  20. M. Asif Naeem, “Tuned X-HYBRIDJOIN for Near-Real-Time Data Warehousing”. Proceedings of 15th Asia-Pacific Web Conference, APWeb (APWeb), Springer-Verlag, 2013. (pdf | bibTex)
  21. M. Asif Naeem, "A Robust Join Operator to Process Streaming Data in Real-time Data Warehousing", Proceedings of 8th IEEE International Conference on Digital Information Management (ICDIM), IEEE, 2013, pp. 119-124. (pdf | bibTex)
  22. M Asif Naeem, Gillian Dobbie, Gerald Weber, “A Lightweight Stream based Join with Limited Resource Consumption”, Proceedings of 14th International Conference on Data Warehousing and Knowledge Discovery (DaWaK), Springer-Verlag, 2012. (pdf | bibTex)
  23. M Asif Naeem, Saif Ullah, Imran Sarwar Bajwa, “Interacting with Data Warehouse by Using a Natural Language Interface”, Proceedings of 17th International conference on Applications of Natural Language Processing to Information Systems (NLDB),Springer-Verlag, 2012. (pdf | bibTex)
  24. M Asif Naeem, Gillian Dobbie, Gerald Weber, Imran Sarwar Bajwa, “Resource Optimization for Processing of Stream Data in Data Warehouse Environment”, Proceedings of International Conference on Advances in Computing, Communications and Informatics (ICACCI), ACM, 2012. (pdf | bibTex)
  25. M Asif Naeem, Imran Sarwar Bajwa, “Generating OLAP Queries From Natural Language Specification”, Proceedings of International Conference on Advances in Computing, Communications and Informatics (ICACCI), ACM, 2012. (pdf | bibTex)
  26. M. Asif Naeem, Gillian Dobbie, Gerald Weber, Imran Sarwar Bajwa, “Efficient Usage of Memory Resources in Near-Real-Time Data Warehousing”, Proceedings of International Multi-Topic conference, Springer-Verlag, 2012. (pdf | bibTex)
  27. M. Asif Naeem, Gillian Dobbie, Gerald Weber, Imran Sarwar Bajwa, “A Parametric Analysis of Stream based Joins”, Proceedings of International Multi-Topic conference, Springer-Verlag, 2012. (pdf | bibTex)
  28. Kashif Hameed, Imran Bajwa and M. Asif Naeem, “A Novel Approach for Automatic Generation of UML Class Diagrams from XMI”, Proceedings of International Multi-Topic conference, Springer-Verlag, 2012. (pdf | bibTex)
  29. M. Asif Naeem, Gillian Dobbie, Gerald Weber, “Optimised X-HYBRIDJOIN for Near-real-time Data Warehousing”, Proceedings of 23rd Australasian Database Conference (ADC), CRPIT, 2012. (pdf | bibTex)
  30. M. Asif Naeem, Gillian Dobbie, Gerald Weber, “X-HYBRIDJOIN for Near-real-time Data Warehousing”, Proceedings of 28th British National Conference on Databases (BNCOD), Springer-Verlag, 2011. (pdf | bibTex)
  31. Imran Sarwar Bajwa, M. Asif Naeem, “On Specifying Requirements using a Semantically Controlled Representation”, Proceedings of 16th International Conference on Applications of Natural Languages to Information Systems, Springer-Verlag, 2011. (pdf | bibTex)
  32. Ashfa Umber, Imran Sarwar Bajwa, M. Asif Naeem, “NL-Based Automated Software Requirements Elicitation and Specification”, Proceedings of First International Conference on Advances in Computing and Communications, 2011. (pdf | bibTex)
  33. Imran Sarwar Bajwa, M. Asif Naeem, Ahsan Ali Chaudhri, Shahzad Ali, “A Controlled Natural Language Interface to Class Models”, Proceedings of 13th International Conference on Enterprise Information Systems, 2011. (pdf | bibTex)
  34. M. Asif Naeem, Gill Dobbie, Gerald Weber, “R-MESHJOIN for Near-Real Time Data Warehousing”, Proceedings of 13th International Workshop On Data Warehousing and OLAP (DOLAP), ACM, 2010. (pdf | bibTex)
  35. Shafiq Alam, Gillian Dobbie, Patricia Riddle and M. Asif Naeem, “Particle Swarm Optimization Based Hierarchical Agglomerative Clustering”, Proceedings of IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2010. (pdf | bibTex)
  36. Shafiq Alam, Gillian Dobbie, Patricia Riddle and M. Asif Naeem, “A Swarm Intelligence Based Clustering Approach for Outlier Detection”, Proceedings of WCCI2010: IEEE World Congress on Computation Intelligence, 2010. (pdf | bibTex)
  37. M. Asif Naeem, Gill Dobbie, Gerald Weber, “Comparing Global Optimization and Default Settings of Stream-based Joins”, Proceedings of Business Intelligence for the Real Time Enterprise (BIRTE, VLDB Workshop), Springer-Verlag, 2009. (pdf | bibTex)
  38. M. Asif Naeem, Gill Dobbie, Gerald Weber, “An Event-Based Near Real-Time Data Integration Architecture”, Proceedings of International workshop on Middleware for Web Services, 2008. (pdf | bibTex)
  39. M. Asif Naeem, Imran S. Bajwa and M. Abbas Choudhary, “Hidden Web Data Processing for Knowledge Management”, Proceedings of IEEE International Conference on Advanced Computer vision and Information Technology, 2007. (bibTex)
  40. Imran Sarwar Bajwa, M. Asif Naeem, Riaz Ul Amin, Dr. Muhammad Nawaz, “Web Information Mining Framework using XML Based Knowledge Representation Engine”, Proceedings of 2nd International Conference on Software Engineering, 2006. (pdf | bibTex)
  41. Imran Sarwar Bajwa, M. Asif Naeem, Riaz Ul Amin, Dr. Abbas Choudhary, “Speech Language Processing Interface for Object Oriented Application Design using a Rule-base Framework”, Proceedings of 4th International Conference on Computer Applications, 2006. (pdf | bibTex)

Book Chapters

  1. M. Asif Naeem, “Online Processing of End-User Data in Real-Time Data Warehousing”, Improving Knowledge Discovery through the Integration of Data Mining Techniques, 2015. (pdf)
  2. M. Asif Naeem , Gillian Dobbie, and Gerald Weber, “Efficient processing of stream data over persistent data”, Big Data Computing, Taylor and Francis, 2012. (pdf)
  3. M. Asif Naeem , Gillian Dobbie, and Gerald Weber, “ Processing of Stream Data in a Real-Time Data Warehouse”, Big Data Management, Technologies, and Applications, IGI Global, 2012. (pdf)

Technical Reports

  1. M. Asif Naeem , Gillian Dobbie, and Gerald Weber , “HYBRIDJOIN for near-real-time data warehousing”, The University of Auckland, New Zealand, Tech. Rep., 2010. (pdf)
  2. M. Asif Naeem , Gillian Dobbie, and Gerald Weber , “X-HYBRIDJOIN for near-real-time data warehousing”, The University of Auckland, New Zealand, Tech. Rep., 2010. (pdf)

Thesis

  1. Muhammad Asif Naeem, “Efficient Joins to Process Stream Data”, PhD thesis, Department of Computer Science, The University of Auckland. (pdf)


Projects

Ongoing Projects

Developed Projects

  • A generic Front-Stage for semi-stream joins processing (Published in CIKM 2013)
  • CACHEJOIN for generalized data stream processing (Published in DaWaK 2012)
  • HYBRIDJOIN for real-time data stream processing in DWH (Published in IJDWM 2011)
  • X-HYBRIDJOIN for skewed data stream processing (Published in BNCOD 2011)
  • R-MESHJOIN for real-time ETL (Published in DOLAP 2010)

Supervised Projects

  • Reusing Past Replies to Respond to New Emails
  • Frequent Item-set Mining using Master Data
  • Multiphase Sem-Stream Joins  in Real-time Data Warehousing
  • Simlairty Joins in Stream Data
  • Designing of SkatClub website


Research Talks

  1. Updates on Data Science Research Group (DSRG) activities, Data Science Research Group Workshop, Auckland, New Zealand, 2017.
  2. Aspect of Blame in Tweets: A Deep Recurrent Neural Network Approach, The 2017 World Wide Web conference, Perth, Australia, 2017.
  3. Document Level Semantic Comprehension of Noisy Text Streams via Convolutional Neural Networks, The IEEE 21st International Conference on Computer Supported CooperativeWork in Design (CSCWD), Wellington, New Zealand, 2017
  4. Uncovering Useful Patterns in Shopping Cart Data, The IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD), Wellington, New Zealand, 2017.
  5. A Review on IoT Healthcare Monitoring Applications and a Vision for Transforming Sen- sor Data into Real-time Clinical Feedback, The IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD), Wellington, New Zealand, 2017.
  6. Recent Developments in Data Science, Keynote Speech at The 6th International conference on Innovative Computing Technology (INTECH 2016), Dublin, Ireland, 2016.
  7. Optimising Queue-Based Semi-stream Joins by Introducing a Queue of Frequent Pages, The 27th Australasian Database Conference (ADC), Sydney, Australia, 2016
  8. Research Challenges in Processing of Streaming Data particularly in the context of RDW, Data Science Research Group Workshop, Auckland, New Zealand, 2016.
  9. Caching and Load Shedding in Semi-Stream Joins for Skewed Big Data, eResearch NZ, Queenstown, 2016.
  10. Data Science Research Group (DSRG) Launch, Auckland, New Zealand, 2015.
  11. A Cache-based Semi-Stream Join to deal with Unmatched Stream Data, The 26th Australasian Database Conference, ADC 2015, Melbourne, Australia 2015.
  12. S3J: A Parallel Semi-Stream Similarity Join, 18th ACM International Workshop On Data Warehousing and OLAP, Melbourne, Australia, 2015.
  13. Memory Ecient Join to Process Semi-Stream Data, Centre for Arti cial Intelligence Research (CAIR ), AUT, 2015.
  14. Ecient Processing of Semi-Stream Data, Knowledge Engineering and Discovery Research (KEDRI), AUT, 2015.
  15. Optimizing Queue-based Semi-Stream Joins with Indexed Master Data, 16th International Conference on Data Warehousing and Knowledge Discovery, Munich, Germany, 2014.
  16. A Caching Approach to Process Stream Data in Data Warehouse, The 9th International Conference on Digital Information Management, Bangkok, Thailand, 2014.
  17. Natural Language Processing Based Interpretation of Skewed Graphs, The 3rd International Conference on Advances in Computing, Communications and Informatics, Delhi, India, 2014.
  18. A Generic Front-Stage for Semi-Stream Processing, The 22st ACM International Conference on Information and Knowledge Management (CIKM), San Francisco, CA, USA, 2013.
  19. SSCJ: A Semi-Stream Cache Join using a Front-Stage Cache Module, 15th International Conference on Data Warehousing and Knowledge Discovery (DaWaK), Prague, Czech Republic, 2013.
  20. Ecient Joins to Process Semi-Stream Data, Keynote Speech, The 9th International Conference on Digital Information Management, Islamabad, Pakistan, 2013.
  21. Tuned X-HYBRIDJOIN for Near-Real-Time Data Warehousing, The 15th Asia-Paci c Web Conference (APWeb), Sydney, Australia, 2013.
  22. Optimised X-HYBRIDJOIN for Near-Real-Time Data Warehousing, The 23rd Australasian Database Conference (ADC), Melbourne, Australia, 2012.
  23. A Lightweight Stream-based Join with Limited Resource Consumption, 14th International Conference on Data Warehousing and Knowledge Discovery, Vienna, Austria, 2012.
  24. Stream-based Joins with Limited Resource Consumption, Database Systems and Information Management (DIMA) Group, TU Berlin, 2012.
  25. A Parametric Analysis of Stream Based Joins, 8th International Multi-topic Conference, Pakistan, 2012.
  26. Ecient Usage of Memory Resources in Near-Real-Time Data Warehousing, 8th International Multi-topic Conference, Pakistan, 2012.
  27. X-HYBRIDJOIN for Near-real-time Data Warehousing, 28th British National Conference on Databases (BNCOD), Manchester, 2011.
  28. R-MESHJOIN for Near-Real Time Data Warehousing, 13th International Workshop On Data Warehousing and OLAP (DOLAP), Toronto, Canada, 2010.


Students

Current Students

Past Students

Scholarship Opportunities

A fully funded PhD position is available under the Data Science Research Group (DSRG) at the Auckland University of Technology (AUT). For details please visit the scholarship page.

In addition, there are various scholarships offer by AUT and NZ Government every year for both local and international students. For details, visit AUT scholarships and awards. You can also consider NZ International Doctoral Research Scholarships.


Professional Activities