Timeline:
[July-22 till Now] Assistant Professor, Air University Islamabad, Pakistan.
[Oct-21 to May 22] Research Fellow (Post-Doctorate), East Anglia University, England, UK.
[Aug-21 to Sep-21] Assistant Professor, Air University Islamabad, Pakistan.
[Jan-17 to Dec-20] PhD Electrical Engineering, Newcastle University, Australia.
[Aug-13 to Dec-16] Research Associate, COMSATS University Islamabad, Pakistan.
[Aug-13 to Sep-15] MS Electrical Engineering, COMSATS University Islamabad, Pakistan.
[Aug-09 to Sep-13] BS Electrical Engineering, COMSATS University Islamabad, Pakistan.
Summary:
Ashfaq Ahmad is currently working as assistant professor in electrical and computer engineering department at Air University Islamabad, Pakistan. Previously, he served as research fellow in artificial intelligence laboratory within the school of computing sciences at the University of East Anglia, United Kingdom. Where, he carried investigations towards project 'REMeDY—Spearheading a revolution in energy market design', funded by Innovate UK (UKRI) [details on: REMeDY, UEA, UKRI]. Project REMeDY involved collaborations with local authorities, commercial organisations and academic institutions including Imperial College London, SMS Energy Services Limited, Vital Energi Utilities Limited, Places for People Group Limited (FutureGov. Ltd), University of East Anglia, and Southend on Sea Borough Council. He also worked in ComSens research lab at COMSATS University Islamabad as research associate.
Dr. Ahmad did PhD in electrical engineering from the University of Newcastle, Australia, and the BS and MS in electrical engineering from COMSATS University Islamabad, Pakistan. He has (co-)authored 40+ research publications in technical international journals and peer-reviewed international conferences. He has served and is actively serving as associate editor, guest editor, invited reviewer and technical program committee (TPC) member of several prestigious international journals and conferences/workshops. He is currently investigating the applications of machine learning and optimization techniques for the future energy internet, not limited to, but in the following potential areas.
Integration and Management of Distributed Energy Resources (DERs)
Vehicle-to-Grid (V2G) Integration and Its Impact
Electricity Theft Detection
Short-Term, Mid-Term, and Long-Term Load Forecasting
Networked Microgrids
Profiles:
Professional Affiliations/Memberships:
Pakistan Engineering Council (PEC)
Institute of Electrical and Electronics Engineers (IEEE)
IEEE Power and Energy Society
IEEE Communications Society
IEEE Young Professionals
Contact Details:
ashfaqcomsats[at]gmail.com
ashfaqahmad[at]ieee.org
ashfaq.ahmad[at]au.edu.pk