Prof. Dr. Wael Badawy | Computer Science | Best Researcher Award

Egyptian Russian University | Egypt

Prof. Wael Badawy, is a distinguished engineer, researcher, and academic leader with over 28 years of experience in higher education, research, technology commercialization, and innovation management. He earned his Ph.D. in Computer Engineering from the University of Louisiana at Lafayette, USA, and an equivalent Ph.D. in Electrical Engineering recognized by the Egyptian Higher Council of Universities, complemented by M.Sc. and B.Sc. degrees in Computer Science and Automatic Control Engineering from Alexandria University, Egypt. Prof. Wael Badawy has held senior academic and leadership positions, including Executive Director of ABM College, Canada, Program Head of Data Science and Cybersecurity at the Egyptian Russian University, and professorships at Nile University, Badr University, and the American University in Cairo, where he has taught and supervised students in Artificial Intelligence, Deep Learning, Multimedia Engineering, Cybersecurity, and Information Technology Management. His research contributions encompass over 400 publications in high-impact journals and conferences, 56 books and proceedings, and 34 co-invented patents, with highly cited work including the IEEE Transactions on Circuits and Systems for Video Technology (2018). Prof. Badawy has received more than 90 prestigious awards and honors, including the QS Reimagine Education Awards (2023, shortlisted), Silicon Review “30 Innovative Brands of the Year” (2022), and multiple distinctions in STEM, business innovation, and leadership. He actively serves on international standardization committees, professional organizations such as IEEE and ACM, and national research councils, contributing to curriculum development, program design, and strategic planning in higher education. Prof. Wael Badawy’s extensive contributions to research, innovation, and education demonstrate his sustained impact on technology, society, and the global academic community, making him an exemplary candidate for the Best Researcher Award.

Featured Publications

Du, S., Ibrahim, M., Shehata, M., & Badawy, W. (2012). Automatic license plate recognition (ALPR): A state-of-the-art review. IEEE Transactions on Circuits and Systems for Video Technology, 23(2), 311–325.

Rahman, C. A., Badawy, W., & Radmanesh, A. (2003). A real-time vehicle’s license plate recognition system. In Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance.

Shehata, M. S., Cai, J., Badawy, W. M., Burr, T. W., Pervez, M. S., Johannesson, R. J., … (2008). Video-based automatic incident detection for smart roads: The outdoor environmental challenges regarding false alarms. IEEE Transactions on Intelligent Transportation Systems, 9(2), 349–360.

Ghallab, Y. H., Badawy, W., Kaler, K. V. I. S., & Maundy, B. J. (2005). A novel current-mode instrumentation amplifier based on operational floating current conveyor. IEEE Transactions on Instrumentation and Measurement, 54(5), 1941–1949.

Du, S., Shehata, M., & Badawy, W. (2011). Hard hat detection in video sequences based on face features, motion and color information. In 2011 3rd International Conference on Computer Research and Development, 4, 25–29.

Ghallab, Y., & Badawy, W. (2004). Sensing methods for dielectrophoresis phenomenon: From bulky instruments to lab-on-a-chip. IEEE Circuits and Systems Magazine, 4(3), 5–15.

Badawy, W., & Gomaa, H. (2015). Analyzing a segment of video. U.S. Patent No. 9,014,429.

Ghallab, Y. H., & Badawy, W. (2010). Lab-on-a-chip: Techniques, circuits, and biomedical applications. Artech House.

Badawy, W. (2009). Mesh based frame processing and applications. U.S. Patent No. 7,616,782.

Badawy, W. (2009). Video based monitoring system. U.S. Patent No. 7,612,666.

Mr. Muhammad Muteeb Butt | Engineering | Best Researcher Award

Istanbul Technical University | Turkey

Muhammad Muteeb Butt is a dynamic research engineer based in Ankara, Turkey, with a strong academic and industrial background in materials science, additive manufacturing (AM), and failure analysis. Currently contributing to cutting-edge research at Gazi University’s Additive Manufacturing Technologies Application and Research Centre, he combines advanced simulation techniques with practical engineering experience. Muteeb is a skilled professional who thrives in multidisciplinary environments, connecting microstructural analysis to fatigue life, and integrating machine learning in mechanical predictions.

Professional profile👤

Google Scholar

ORCID

Scopus

Strengths for the Awards✨

1. Strong Research Focus and Contribution:

Muteeb has a clearly defined niche in Additive Manufacturing (AM), especially the fatigue behavior of AM alloys, with a broad understanding spanning corrosion, failure analysis, process parameters, and machine learning applications.
He has 10+ journal publications, many in reputable, peer-reviewed journals, and a growing citation count (30+ as of April 2025), demonstrating emerging impact.
Reviewer for multiple journals, indicating recognition by the academic community for his expertise.

2. Multidisciplinary Skillset:

Demonstrates proficiency in experimental work (SEM, EDS, micro-CT, DSC, mechanical testing) and simulation tools (Flow 3D, Thermo-Calc, Python, SolidWorks).
His experience bridges fundamental materials science, applied engineering, and industrial practices, which is rare and valuable.

3. International and Cross-Sector Experience:

Has worked in research labs, industry, and academia across Pakistan and Turkey, showing adaptability and a global mindset.
Participation and presentations in international conferences (France, Italy, Turkey) enhance his visibility and academic network.

4. Practical Impact and Leadership:

Led projects with direct industrial applications (failure analysis, inspections, fitness for service).
Experience in lab establishment, project leadership, proposal writing, and academic mentoring.

🎓 Education

📘 Master of Science in Materials Science and Engineering (2017–2020), Institute of Space Technology, Pakistan
Thesis: Development of Iron Oxides-Based Nanocomposites for Enhanced Photocatalytic Activity – Focused on ZnS QDs on iron oxide nanoparticles for improved dye degradation.
📘 Bachelor of Science in Metallurgical and Materials Engineering (2012–2016), University of Engineering and Technology, Pakistan
Thesis: Development of araldite epoxy and RHA based composites – Studied mechanical property enhancement via rice husk ash treatments.

💼 Experience

Research Engineer, Gazi University, Turkey (2022–Present)

Developing fatigue life prediction models using CFD and ML.
Investigating fatigue, corrosion, and defect morphology in AM alloys.

Lab Engineer, Pak Austria Fachhochschule, Pakistan (2021–2022)

Established key teaching and research labs in metallurgy and materials testing.

Project Lead Engineer, Velosi Integrity and Safety, Pakistan (2021)

Led failure analysis and inspection projects, contributing to industrial safety protocols.

Research Associate, Institute of Space Technology, Pakistan (2017–2020)

Conducted over 40 failure analysis projects and reverse engineering evaluations.

🔬 Research Interests On Engineering

Additive Manufacturing: Process-property-performance relationships
Fatigue Behavior: Defect mapping, prediction models, microstructure analysis
Failure Analysis: Fractography, corrosion, and in-situ metallurgy
Machine Learning in Materials Engineering
Photocatalytic Nanomaterials for Environmental Applications

🏆 Awards & Certifications

🎓 Partial Scholarship for Master’s Degree (2017–2020)
🧪 CSWIP 3.1 Certified Welding Inspector (2016)

📚 Publications

Title: Conjunction of macroporosity and NH4F treatment for improved performance of TiO2 photoanode in quantum-dot sensitized solar cells
Authors: MA Basit, MM Butt, M Nazir, MN Ashiq
Year: 2019
Citations: 15
Title: Outlining the beneficial photocatalytic effect of ZnS deposition in simplistically developed iron oxide nanocomposites of different stoichiometry
Authors: MM Butt, TF Khan, M Muhyuddin, MA Akram, MZ Ansar, MA Basit, S Butt
Year: 2021
Citations: 6
Title: Corrosion in laser powder bed fusion AlSi10Mg alloy
Authors: H Laieghi, V Kvvssn, MM Butt, P Ansari, MU Salamci, AE Patterson, …
Year: 2024
Citations: 3
Title: Fatigue performance in additively manufactured metal alloys
Authors: MM Butt, H Laieghi, V Kvvssn, Z Uddin, M Shah, P Ansari, MU Salamci, …
Year: 2024
Citations: 3
Title: Failure analysis of a furnace tube support
Authors: A Jelani, MM Butt, OU Rauf
Year: 2024
Citations: 2
Title: Understanding the Effects of Manufacturing Attributes on Damage Tolerance of Additively Manufactured Parts and Exploring Synergy Among Process‐Structure‐Properties. A …
Authors: Z Uddin, MM Butt, V Kvvssn, MU Salamci, H Kizil
Year: 2024
Citations: 1
Title: Recent progress in additive manufacturing of 7XXX aluminum alloys
Authors: V Kvvssn, MM Butt, H Laieghi, Z Uddin, E Salamci, DB Kim, H Kizil
Year: 2025
Title: Data driven-based machine learning modelling and empirical correlations for predicting snow-covered area in the Swat Region, Pakistan
Authors: S Rashid, A Mustafa, A Iqbal, MU Farooq, MM Butt, M Naeem
Year: 2025
Title: Tempered martensite embrittlement of an alloy steel forging from an automobile vehicle system
Authors: MK Mehran, MM Butt, A Wakeel
Year: 2023

🧾 Conclusion

Muhammad Muteeb Butt exemplifies innovation in engineering research, merging academic depth with practical insight. His accomplishments in fatigue behavior, additive manufacturing, and nanomaterials research—supported by a growing citation record and active reviewer roles—underscore his potential as a leader in materials science. With international exposure and technical finesse, he is a strong candidate for any research-based recognition or award. 🌍

Muhammad Muteeb Butt | Engineering | Best Researcher Award