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Journal of Engineering and Computational Intelligence Review (JECIR), ISSN (Online): 3105-4811 ISSN (Print): 3106-969X
The Journal of Engineering and Computational Intelligence Review (JECIR) is guided by a distinguished panel of experts who ensure our publication maintains the highest standards of academic rigor and relevance. Our board provides strategic oversight, upholds ethical practices, and champions the advancement of knowledge in engineering and computational intelligence.
Cheif Advisor
Dr. Muhammad Asif
CEO, Inverge Consultancy
Dr. Asif brings vital industry perspective and leadership, bridging cutting-edge academic research with practical, real-world applications in technology and consultancy to guide the journal's strategic direction.
Advisors
Dr. Sidra Swati
Lecturer, National University of Modern Languages (NUML)
With expertise in computational applications, Dr. Swati contributes a strong academic foundation, ensuring the journal's content maintains methodological soundness and educational value for a diverse scholarly audience.
Dr. Unaiza Khudai
Lecturer, Bahauddin Zakariya University, Multan
Dr. Khudai provides essential insights from a major research university, focusing on fostering high-quality, innovative studies that contribute meaningfully to the engineering and intelligent systems discourse.
Dr. Sadia Butt
Teaching Fellow, University of Engineering and Technology (UET), Lahore
Directly from a premier engineering institution, Dr. Butt ensures the journal's publications are technically robust and aligned with the evolving educational and research needs of the engineering community.
Dr. Amir Waheed
Senior Lecturer, Iqra University, Islamabad
Dr. Waheed offers valuable perspective on emerging trends and pedagogical approaches, helping to shape the journal's scope to include forward-looking research in computational intelligence and related fields.
Please send your manuscript/ research articles on one of the following Email Address:
Journal of Engineering and Computational Intelligence Review, ISSN (Online): 3105-4811 ISSN (Print): 3106-969X
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