Bahria University

Discovering Knowledge

ENGR. MUHAMMAD YASEEN

Faculty Photo
PERSONAL INFORMATION
Faculty Photo
Email myaseen.buic@bahria.edu.pk
Phone Ext. 9259500 Ext3309
Research Areas / Expertise Power Systems
QUALIFICATION
Degree Passing Year Majors University
Bachelor of Electrical Engineering 2010 Electronics Bahria University
Masters of Science in Electrical Engineering 2016 Power Systems Bahria University
TEACHING EXPERIENCE
Designation From To Organization
Internee 01-Jan-0001 Present National Power Control Center, NPCC, and PEPCO
Visiting Lab Engineer 01-Sep-2010 01-Feb-2012 Department of Computer & Software Engineering, Bahria University Islamabad
Teaching Assistant (TA) 20-Oct-2010 19-Oct-2011 Department of Computer & Software Engineering, Bahria University Islamabad
Senior Lab Engineer / Junior Lecturer 01-Feb-2012 01-Aug-2016 Department of Computer & Software Engineering, Bahria University Islamabad
Senior Lecturer 01-Aug-2016 01-Jun-2020 Department of Electrical Engineering, Bahria University Islamabad
Assistant Professor 01-Jul-2020 Present Department of Electrical Engineering, Bahria University

Publications

Journals
  • Model Predictive Control (MPC) based distributed control algorithm for Bidirectional interlinking converter (BIC) in hybrid microgrids | International Transactions on Electrical Energy Systems
  • Time Critical Threshold Sensitive Protocol For HWSN | INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH
  • Resilient Constraint Energy Management for Microgrids: Integrating Wasserstein DRO and CVaR-Constrained MPC Under Renewable Uncertainty | IEEE Access
  • Improved consensus-based current sharing control approach for battery storage in hydrogen production systems | Journal of Energy Storage
  • Adaptive and intelligent control architectures for smart microgrid Systems: A comprehensive review | Energy Conversion and Management X
  • Artificial Intelligence-Based Load Forecasting and Energy Scheduling in Smart Microgrids | Annual Methodological Archive Research Review
  • RIS-ASSISTED UAV-ENABLED CELL-FREE MASSIVE MIMO SYSTEMS FOR 6G WIRELESS COMMUNICATION | Spectrum of Engineering Sciences
  • 6G-ENABLED AI-BASED SENSING AND COMMUNICATION CONVERGENCE: A COMPREHENSIVE SURVEY | Spectrum of Engineering Sciences
  • Specific Emitter Identification via Artificial Neural Networks | Pakistan Journal of Engineering, Technology and Science
Conferences
  • Renewable energy based microgrid scheme for greener ship: evaluation through techno-economic performance analysis | 2023 IEEE Sustainable Power and Energy Conference (iSPEC)
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