Department of Computer Sciences
Quaid-i-Azam University, Islamabad

Umer Rashid

Profile Picture

Assistant Professor

HEC Approved Supervisor

📧 umerrashid-at-qau-edu-pk
☎ +92-51-9064-2012
     Quaid-i-Azam University, Islamabad, Pakistan

Research Interests

Academic Research/Projects

  1. Multiple Media Information Search Framework (Ph.D. thesis, 2012-2017)
  2. Multimodal Search Mechanism (M.Phil. Thesis, 2006-2007)
  3. Traffic Congestion Control Simulator of Islamabad (BS Project, 2005)

Distinctions/Awards

  1. PhD-IRSIP Award (2015)
  2. Quaid-I-Azam University Ph.D. Research Fellowship (2012-2017)
  3. Quaid-I-Azam University M.Phil. Research Fellowship (2006-2007)
  4. 1st position in M.Phil. (CS) batch spring 2006-2007
  5. Department Merit Certificate and Chancellors Medal

Experience

  1. Assistant Professor - Quaid-I-Azam University, Pakistan - October 2019 to date
  2. Lecturer - Quaid-I-Azam University, Pakistan - September 2010 to October 2019
  3. Lecturer - Riphah International University - June 2008 to August 2010
  4. Lecturer - Federal Government Liaquat Ali Degree College - September 2007 to May 2008
  5. Visiting Lecturer - Quaid-I-Azam University - September 2007 to July 2008
  6. Visiting Lecturer - Quaid-I-Azam University - February 2010 to Jun 2010

Academics

Research Publications

  1. Ahmed, A., Saleem, K., Khalid, O., & Rashid, U. (2021). On deep neural network for trust aware cross domain recommendations in E-commerce. Expert Systems with Applications, 174, 114757.
  2. Rashid, U., Saleem, K., & Ahmed, A. (2021). MIRRE approach: nonlinear and multimodal exploration of MIR aggregated search results. Multimedia Tools and Applications, 80(13), 20217-20253.
  3. Khan, A. R., Rashid, U., Saleem, K., & Ahmed, A. (2021). An architecture for non-linear discovery of aggregated multimedia document web search results. PeerJ Computer Science, 7, e449.
  4. Janjua, S. H., Siddiqui, G. F., Sindhu, M. A., & Rashid, U. (2021). Multi-level aspect based sentiment classification of Twitter data: using hybrid approach in deep learning. PeerJ Computer Science, 7, e433.
  5. Khan, A. R., & Rashid, U. (2021, April). A Relational Aggregated Disjoint Multimedia Search Results Approach using Semantics. In 2021 International Conference on Artificial Intelligence (ICAI) (pp. 62-67). IEEE.
  6. Javid, A., Rashid, U., & Khattak, A. S. (2020, November). Marking Early Lesions in Labial Colored Dental Images using a Transfer Learning Approach. In 2020 IEEE 23rd International Multitopic Conference (INMIC) (pp. 1-5). IEEE.
  7. Ahmed, A., Saleem, K., Rashid, U., & Baz, A. (2020). Modeling trust-aware recommendations with temporal dynamics in social networks. IEEE Access, 8, 149676-149705.
  8. Saddal, M., Rashid, U., & Khattak, A. S. (2019, November). A browsing approach to explore web image search results. In 2019 22nd International Multitopic Conference (INMIC) (pp. 1-6). IEEE.
  9. Rashid, U., Bhatti, M.A., Mustaq, M. (2018, October). Proximal Search of Image Segments in CBIR. 31st International Conference on Computer Applications in Industry and Engineering. 65-70.
  10. Rashid, U., & Arif, B. (2018). PERIA-Framework: A Prediction Extension Revision Image Annotation Framework. In Information Technology-New Generations (pp. 25-31). Springer, Cham.
  11. Rashid, U., & Bhatti, M. A. (2017). A framework to explore results in multiple media information aggregated search. Multimedia Tools and Applications, 76(24), 25787-25826.
  12. Rashid, U., Viviani, M., & Pasi, G. (2016). A graph-based approach for visualizing and exploring a multimedia search result space. Information Sciences, 370, 303-322.
  13. Rashid, U., Viviani, M., Pasi, G., & Bhatti, M. A. (2016). The browsing issue in multimodal information retrieval: a navigation tool over a multiple media search result space. In Flexible Query Answering Systems 2015 (pp. 271-282). Springer, Cham.
  14. Rashid, U., & Bhatti, M. A. (2015, October). Towards a conceptual framework to implement multiple media information search system. In 2015 Tenth International Conference on Digital Information Management (ICDIM) (pp. 154-159). IEEE.
  15. Rashid, U. (2015). ANN based expert system to predict disease in cardiac patients at initial stages. International Journal of E-Health and Medical Communications (IJEHMC), 6(2), 1-9.
  16. Rashid, U. (2014). A Methodological Approach: Formal Specification Of Quality Attributes Modeling Approcahes In The Waterfall Process Model. VAWKUM Transactions on Computer Sciences, 2(1), 15-20.
  17. Rashid, U. (2013). Information Design for Email Advertisements. VFAST Transactions on Software Engineering, 1(1), 30-34.
  18. Rashid, U., Bhatti, M. A., & Niaz, I. A. (2010, April). A task oriented hybrid framework for interface architecture design. In 2010 Seventh International Conference on Information Technology: New Generations (pp. 1172-1176). IEEE.
  19. Rashid, U., Niaz, I. A., & Bhatti, M. A. (2010). Fusion of multimedia document intra-modality relevancies using linear combination model. In Advanced Techniques in Computing Sciences and Software Engineering (pp. 575-580). Springer, Dordrecht.
  20. Rashid, U., Niaz, I. A., & Bhatti, M. A. (2010). Unified multimodal search framework for multimedia information retrieval. In Advanced Techniques in Computing Sciences and Software Engineering (pp. 129-136). Springer, Dordrecht.
  21. Rashid, U., Niaz, I. A., Amin, M. W., & Bhatti, M. A. (2009, October). Designing interactions using OAI model: A new interface modeling paradigm. In 2009 International Conference on Emerging Technologies (pp. 422-426). IEEE.
  22. Rashid, U., Niaz, I. A., & Bhatti, M. A. (2009, April). M3L: architecture for multimedia information retrieval. In 2009 Sixth International Conference on Information Technology: New Generations (pp. 1067-1072). IEEE.
  23. Rashid, U., & Bhatti, M. A. (2008). Exploration and management of web based multimedia information resources. In Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering (pp. 500-506). Springer, Dordrecht.
  24. Rashid, U., & Bhatti, M. A. (2007). Enhanced Term-specific Smoothing using Document World Clusters. In CITA'07, 5th International Conference on Information Technology in Asia (pp. 140-144).