An instructor with a Ph.D. and around 25 years of cross-disciplinary experience, with a long list of skills and certificates. Throughout his international career, Assoc. Prof. Al-Dulaimi held different roles: teacher, lead teacher, head of department, lead instructor, research team leader, and Quality & Project manager. Using his solid academic foundations and extensive professional experience, he has inspired and guided many students toward significant professional achievements, providing them with comprehensive coaching and guidance to win many medals in academic competitions worldwide. In collaboration with a prominent Canadian POS systems company, he developed a POS software that stands as a pioneering solution, capable of resolving many challenges retail businesses encounter, marking a significant advancement in the industry.

His degrees and experience have equipped me with skills, knowledge, expertise in cutting-edge technologies, and best practices to maximize his potential as an instructor and researcher.

ACADEMIC QUALIFICATIONS  

• Concordia University, Montreal, Canada – 2016-2020
  Ph.D. in Electrical & Computer Engineering.
• Concordia University, Montreal, Canada – 2015-2016
  MEng in Quality Systems Engineering.
• University of Baghdad, Baghdad, Iraq – 1998-2001
  M.Sc. in Electronics & Communications Engineering.
• University of Baghdad, Baghdad, Iraq – 1992-1998
  B.Sc. in Electronics & Communications Engineering.

PROFESSIONAL APPOINTMENTS

• British University Vietnam (Vietnam) 
  Head of School, School of Computing & Innovative Technologies (2024 – current)
• Berries Group (Canada) 
  Quality & Project Manager (2022 – 2024)
• Tiger Produce, Canada (Canada) 
  Team Leader (Conduct field research study) (2021 – 2022)
  Data Analytics -Business Development- Strategic Planning
• Concordia University and York University (Canada)
  Postdoctoral Research Fellow (2021)
• Community Initiatives Support Program of Montreal City (Canada)
  Lead Instructor (2018 – 2020)
• Concordia University (Canada)
  Tutorial Lead Teaching Assistant (2016 – 2020)
• Institute of Applied Technology (United Arab Emirates)
  ICT Lead (2006 – 2013)
  IC3 Administrator
  Cyber C3 Coordinator
  IT Steering Committee – Member

RESEARCH AREAS / FIELDS

• Prognostic and Health Management (PHM) methodologies and their applications.
• Developing PHM Algorithms and General-Purpose Theories through Advanced Deep Learning Techniques.
• Advancing Maintenance Management and Quality Control with Deep Learning Methodologies.

RESEARCH PUBLICATIONS 

• A. Al-Dulaimi, S. Zabihia, A. Asif, and A. Mohammadi, (2019)
  “A multimodal and hybrid  deep neural network model for Remaining Useful Life estimation,” Computers in Industry, vol. 108, pp. 186-196.
• A. Al-dulaimi, S. Zabihi, A. Asif, A. Mohammadi, (2019)
  “NBLSTM: Noisy and Hybrid CNN and BLSTM-based Deep Architecture for Remaining Useful Life Estimation,” ASME Journal of Computing and Information Science in Engineering, no. 1182.
• A. Al-Dulaimi, A. Asif, and A. Mohammadi, (2020)
  “Noisy Parallel Hybrid Model of  NBGRU and NCNN Architectures for Remaining Useful Life Estimation,” Quality Engineering, Special Issue on Reliability Engineering, vol. 32, issue 3, pp. 371-387.

RESEARCH & CONFERENCE PRESENTATIONS / EXHIBITIONS  

• A. Al-Dulaimi, A. Asif and A. Mohammadi, (2020), “Multipath Parallel Hybrid Deep Neural Networks Framework for Remaining Useful Life Estimation,” IEEE (ICPHM),  pp 1-7. [Best Academic Paper Award].
• A. Al-Dulaimi, A. Asif and A. Mohammadi, (2020), “The Remaining Useful Life Estimation via a Parallel Hybrid Model of NBGRU and CNN”, IISE Annual Conference, Quality Engineering, vol. 32 no. 3, pp. 371-387.
• A. Al-Dulaimi, A. Asif and A. Mohammadi, (2020), “The Noisy Parallel Hybrid Model for Remaining Useful Life Estimation (NPHM) “, IISE Annual Conference, Quality Engineering, vol. 32 no. 3.
• A. Al-Dulaimi, A. Asif and A. Mohammadi, (2020), “The Noisy Multipath Parallel Hybrid Model for Remaining Useful Life Estimation (NMPM) “, PHM society, vol. 12 no. 1.
• A. Al-Dulaimi, S. Zabihia, A. Asif, and A. Mohammadi, (2019), “Hybrid Deep Neural Network Model for Remaining Useful Life Estimation,” ICASSP, pp. 3872-3876.

RESEARCH GRANTS  

• A. Al-Dulaimi (2019), “A multimodal and hybrid deep neural network model for Remaining Useful Life estimation” partially funded by the Natural Sciences and Engineering Research Council (NSERC) of Canada through the NSERC Discovery Grant RGPIN-2016-049988.
• A. Al-Dulaimi, A. Asif, and A. Mohammadi, (2020), “Noisy Parallel Hybrid Model of  NBGRU and NCNN Architectures for Remaining Useful Life Estimation,” partially funded by the Natural Sciences and Engineering Research Council (NSERC) of Canada through the NSERC Discovery Grant RGPIN-2016-049988.

AWARDS & HONOURS  

• Best Academic Paper Award (2020)
  IEEE International Conference on Prognostics and Health Management (ICPHM 2020), USA.
• The Prediction Era Award (2019)
  The community initiatives support program (CISP), of Montreal City, Canada.
• The Most Demanded Instructor Award (2018 & 2019)
  The community initiatives support program (CISP), of Montreal City, Canada.
• Out-of-Province Award (2016)
  Concordia University, Montreal, Canada.
• The best ICT Teacher (2009 & 2012)
  Institute of Applied Technology, Abu Dhabi, UAE.
• The best ICT Teacher for supporting SAPET [Saturday] program (2011)
  Institute of Applied Technology, Abu Dhabi, UAE.

MEMBERSHIPS

• The Institute of Electrical and Electronics Engineers (IEEE)
• Association for the Advancement of Artificial Intelligence (AAAI)
• Microsoft Certified Professional Community
• Institute of Industrial and Systems Engineers (IISE)
• American Society for Quality (ASQ)