Mr. Affan Ahmad Toor (MS SZABIST, Islamabad)


Affan Ahmad Toor completed his MS degree in Computer Sciences from the Shaheed Zulfikar Ali Bhutto Institute of Science and Technology Islamabad, Pakistan, in 2019, and joined academia. Before that, he has vast experience of working in software industry in the domains like web application development, mobile development, CRM consultancy, Cloud Computing and open source technologies. He has given trainings in software houses on dotnet development and provided consultancy on various projects. He has certification in Salesforce cloud CRM, ITIL, and Microsoft technologies.

MS Computer Sciences SZABIST, Islamabad, Pakistan 2019
MSc Computer Sciences Quaid-e-Azam University, Islamabad, Pakistan 2006
BSc Computer Sciences University of Punjab, Lahore, Pakistan 2004
Lecturer Capital University of Science and Technology (CUST), Islamabad Since – 2020
Visiting Lecturer Federal Urdu University of Arts, Science And Technology, Islamabad 2019 – 2020
Team Lead Predictive Analytics Lab, National Center of BigData and Cloud Computing (NCBC), SZABIST, Islamabad 2019 – 2019
Principal Software Engineer Figover, Islamabad 2017 – 2019
Principal Software Engineer HT Decisions, Islamabad 2018 – 2019
Senior Software Engineer OA Systems Pvt. Ltd., Islamabad 2012 – 2017
Development Lead Avenir Pvt. Ltd., Islamabad 2010 – 2012
Senior Software Engineer Sofnix Pvt. Ltd., Pakistan 2008 – 2010
Data Warehouse Lead Center of Agro-Informatics Research (CAIR), FAST-NU, Islamabad 2007 – 2008
Software Engineer HostBreak Pvt. Ltd., Rawalpindi 2007 – 2007
  1. Data Mining;
  2. Machine Learning;
  3. Data Stream Mining;
  4. Healthcare Informatics;
1. Efficient mining of IoT based data streams for advanced computer vision systems (Multimedia Tools and Application, 2020)
2. Mining Massive E-Health Data Streams for IoMT Enabled Healthcare Systems (MDPI Sensors, 2020)
3. A Robust Systematic Approach for Ensuring Optimal Telecom Service Delivery (IEEE Communication Magazine, 2020)
1. A. A. Toor, M. Usman and W. Ahmed, “A critical review of density-based data stream clustering techniques,” 2016 Eleventh International Conference on Digital Information Management (ICDIM), Porto, 2016, pp. 51-61.

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