Research Projects

The current focus of the SysLab team is to develop solutions and solve research problems related to many emerging topics in computer science and distributed/parallel systems. The continuous growth of Big data systems and evolution of NewSQL systems have highlighted many opportunities and applications. Similarly, advancements in Software defined Networking, Internet of Things, Cloud, Neural networks, Machine learning and Big data have open corridors of research for a smarter Planet. The SysLab team is working on numerous possibilities.

Current Projects
Phd Students:
  1. Big data for smart city
  2. SDN for Smart City
  3. Heterogeneous Volunteer Computing
  4. SDN and GPUs
  5.  BIg Data GPUs
MS Students:
  1. BGP Prefix Hijacking using Comparative Analysis ( Mr. Uzair)
  2. A Backfill Based Scheduler with Job Running Time Predictor For Heterogeneous GPU Clusters (Mr. Fayzan ul Haq)
  3. RCSDN: Resilient Controller Software Defined Network (Ms. Soomaiya Hamid)
  4. Health Quest (Mr. Shahzeb)
  5. Multi-threaded Implementation of Data Stream Processing Framework on GPUs (Mr. Ahsan)
  6. A comparative Analysis of Abstract Text Summarization (Ms. Tooba Siddiqui)
  7. Android Security ( Ms. Lareb Usman )
  8. SDN ( Ms. Hafiza Maryam )
BS Students:
  1. Resource Manager for MapReduce Based Heterogeneous GPU Cluster (Mr. Musab Mehboob, Mr. Moosa Khan, and Mr. Syed Muhammad Shahan Mustafa )
  2. GPU-Based firewall (Ms. Maryam, Ms. Rija, and Mr. Ali Qureshi)
  3. Signature-based pattern matching using GPUs (Mr. Tahir, Mr. Jazib-ul-hassan, Mr. Akhter Zaman, and Ms. Mishal)
Previous Projects:
  1. XFast Pro
  2. Vdrive
  3. ClickSafe
  4. Cloud Security
  5. Advancements in Hadoop
  6. Botnet Mitigation
  7. Android Security
  8. Browser Security
  9. Volunteer computing for Mobile
  10. Virtual Machines on Cloud
  11. Fuzzy Clustering of Web Documents using Hadoop
  12. Nano Data Centers
  13. Cloud Simulator
  14. Botnets
  15. Light weight Hadoop
  16. Collaborative Computing
  17. Droid Cloud
  18. Data Intensive Cloud Computing
  19. Internet Privacy

Last Updated: April 2017