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• Bachelor of Data Analytics
• Reporting Systems & Database Development
• Big Data Solutions Architecture
• Computer Programming & Analysis

• PhD in Computer Science (with Honors), Machine Learning, University of Sfax
• MS in Software Engineering (Embedded Systems), University of Tunis
• MS in Computer Engineering (with Honors), University of Carthage
• Bachelor of Science (BSc) (with Honors), University of Carthage

• PROG2200: Database: SQL
• PROG3200 - Database: Application Development
• PROG8080 - Programming: Database Management
• PROG8410 - NoSQL Database Implementation
• PROG8421 - Programming for Big Data
• PROG8590 - Relational Databases

• Big Data Engineering & Data Science
• Artificial Intelligence and Machine Learning
• Databases
• Team and Project Management

• 8+ years of hands-on industrial experience in solving challenging problems which require the use of advanced big data technologies, machine learning and software engineering.
• Microsoft Certified Data Scientist
  
• DELL EMC certified Cloud Infrastructure and Services E10-002 (V2)
• Assistant professor at King Abdul-Aziz University, Faculty of Computing & Information technology.

Publications:

• 2017, M. Triki, “Extending the Service Lifetime of a Battery-Powered System Supporting Multiple Active Modes”, IOSR Journal of Electrical and Electronics Engineering, vol: 12, pp. 34-46 DOI: 10.9790/1676-1203023446
• 2015, M. Triki, Y. Wang, A.C. Ammari, M. Pedram, “Hierarchical power management of a system with autonomously power-managed components using reinforcement learning”, Integration, the VLSI Journal, vol: 48, pp. 10-20 DOI : 10.1016/j.vlsi.2014.06.001
• 2014, M. Triki, Ahmed C. Ammari, Yanzhi Wang, Massoud Pedram, “Reinforcement learning algorithms for dynamic power management”, 2014 World Symposium on Computer Applications & Research (WSCAR), pp. 1-6 DOI: 10.1109/WSCAR.2014.6916835
• 2013, M. Triki, Ahmed C. Ammari, Yanzhi Wang, Massoud Pedram, “Reinforcement Learning- Based Dynamic Power Management of a Battery-Powered System Supplying Multiple Active Modes”, 2013 European Modelling Symposium (EMS), pp. 437-442 DOI : 10.1109/EMS.2013.74
• 2013, Yanzhi Wang, M. Triki, Xue Lin, A. C. Ammari, M. Pedram, “Hierarchical dynamic power management using model-free reinforcement learning”, 2013 14 th International Symposium on Quality Electronic Design (ISQED 2013), pp. 170-177 DOI: 10.1109/ISQED.2013.6523606
• 2012, M. Triki, Yanzhi Wang, Ahmed C. Ammari, Massoud Pedram, Dynamic Power Management of a Computer with self power-managed components. Lecture Notes in Computer Sciences (LNCS), Volume 7606, 2012. DOI: 10.1007/978-3-642-36157-9_22
  

Dr. Maryam enjoys meeting students from a variety of diverse backgrounds. She challenges students to do their best work to meet their program, career and educational goals. In the classroom, she is known for her engaging teaching style, fostering critical thinking and problem-solving skills in her students.