Dr. Marran Al Qwaid | Artificial Intelligence | Best Researcher Award

Assistant Professor | Shaqra University | Saudi Arabia

Dr. Marran Al Qwaid is a distinguished academic and Vice Dean of E-Learning and Digital Transformation at Shaqra University, holding a Ph.D. in Computing and Information Systems. His extensive experience as an Assistant Professor in Computer Science reflects a strong foundation in Artificial Intelligence, cybersecurity, and digital innovation. Dr. Marran Al Qwaid has contributed significantly to research in Artificial Intelligence-driven optimization, secure data systems, and computational efficiency. His academic journey spans global institutions, earning degrees from reputed universities and professional certifications in Artificial Intelligence, cybersecurity, and leadership from renowned platforms. With publications in high-impact journals and participation in international conferences, he has established a profound presence in the field of Artificial Intelligence. His research explores Artificial Intelligence applications in secure computing, data privacy, and cyber defense, demonstrating advanced analytical and problem-solving skills. As an editor and committee member in multiple international journals and conferences, he showcases leadership in Artificial Intelligence research and digital transformation. Dr. Marran Al Qwaid has received recognition for his scholarly and administrative excellence, including appointments to key university committees related to Artificial Intelligence, cloud computing, and innovation governance. His technical expertise, combined with a vision for enhancing Artificial Intelligence education and application, marks him as a pivotal contributor to the digital future. His remarkable career underlines excellence in Artificial Intelligence teaching, research, and leadership. Scopus profile of 2 Citations, 4 Documents, 1 h-index.

Profile: Scopus

Featured Publication

1. Performance Optimization of Grounding System for Multi-Voltage Electrical Installation. (2025). Applied Sciences, Switzerland.

Assist Prof Dr. Amirali Amirsoleimani | AI Hardware design | Best Scholar Award

Assist Prof Dr. Amirali Amirsoleimani, York University, Canada

Dr. Amirali Amirsoleimani is an Assistant Professor at York University, Canada, with a strong background in Electrical and Computer Engineering. His research is dedicated to advancing AI and neuromorphic computing by integrating CMOS technology with emerging memory solutions and bio-inspired algorithms. He has received numerous accolades for his contributions, including the IEEE Larry K. Wilson Award and the Alumni Odyssey Award from the University of Windsor. Dr. Amirsoleimani’s work is focused on developing cutting-edge technologies for efficient, high-performance computing systems in smart environments.

PROFILE

Orcid

Education

Ph.D. in Electrical and Computer Engineering (Sep 2014 – Dec 2017)

University of Windsor, Windsor, ON, Canada

Dissertation: In-Memory Computing by Using Nano-ionic Memristive Devices

Advisor: Dr. Majid Ahmadi

External Examiner: Dr. Manoj Sachdev

M.Sc. in Electrical and Computer Engineering (Sep 2011 – Sep 2013)

Razi University, Kermanshah, Iran

Dissertation: Process Variation Analysis of CMOS and CMOS-Memristor Logic Gates

Advisor: Dr. Arash Ahmadi

B.Sc. in Electrical and Computer Engineering (Sep 2006 – Sep 2010)

Razi University, Kermanshah, Iran

Dissertation: Intelligent Digital Thermal Measurement with USB Data Transfer Protocol

Advisor: Dr. Reza Keyhani

Research Interest

Dr. Amirali Amirsoleimani’s research focuses on developing ultra-efficient artificial intelligence (AI) and neuromorphic computing solutions. His work involves the integration of CMOS circuits with emerging memory technologies such as RRAM and PCRAM, as well as bio-inspired spike-based computing algorithms. His goal is to design fully-integrated in-memory computing systems, employing a software-hardware co-design approach. Dr. Amirsoleimani leads an interdisciplinary team of experts to create innovative solutions at the device, circuit, and software levels, aimed at achieving low-power, high-performance AI for smart environments.

Professional Experience

Dr. Amirali Amirsoleimani is an Assistant Professor at York University, Canada. He has been recognized for his contributions to the field with the IEEE Larry K. Wilson Award in 2016, which is awarded to a single recipient annually in Canada. Dr. Amirsoleimani was also honored with a Best Poster Honorable Mention at the IEEE International Joint Conference on Neural Network in 2017. His involvement in IEEE has been notable, with various recognitions including Certificates of Recognition for his roles and contributions within the IEEE Windsor Section. Additionally, he received the Graduate Student Society (GSS) Scholarship in 2016, further highlighting his achievements in the academic and research communities.

TOP NOTABLE PUBLICATIONS

Dr. Marran Al Qwaid | Artificial Intelligence | Best Researcher Award

Dr. Marran Al Qwaid | Artificial Intelligence | Best Researcher Award

Featured Publication