Muhammad Muteeb Butt | Engineering | Best Researcher Award

Posted on 23/04/202523/04/2025 by sciencefather

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. 🌍

Kennedy Chibuzor Onyelowe | Engineering | Outstanding Scientist Award

Posted on 21/03/202521/03/2025 by sciencefather

Assoc. Prof. Dr. Kennedy Chibuzor Onyelowe | Engineering | Outstanding Scientist Award

Michael Okpara University of Agriculture Umudike | Nigeria

Dr. Kennedy Chibuzor Onyelowe, is a distinguished Associate Professor of Civil Engineering at Michael Okpara University of Agriculture, Umudike, Nigeria, with a robust background in geotechnical engineering and sustainable construction materials. His academic journey has spanned multiple institutions across Nigeria and Greece, with notable expertise in computational soil mechanics and environmental geotechnics.

Professional profile👤

Google Scholar

ORCID

Scopus

Strengths for the Awards✨

Extensive Academic Background: Dr. Onyelowe holds a Ph.D. in Civil Engineering (Geotechnical Engineering) and is currently pursuing another doctoral dissertation, showcasing ongoing dedication to advancing knowledge.
Diverse Research Interests: His expertise spans Computational Soil Mechanics, Sustainable Construction Materials, Nanomaterials Technology, and more, reflecting a multidisciplinary approach essential for tackling modern engineering challenges.
Significant Teaching Experience: With over 15 years of teaching experience at undergraduate and postgraduate levels, he has mentored future engineers and contributed to shaping academic curricula.
Research Contributions: His work on synthesizing nanostructured ash, solid waste-based geopolymer cements, and modeling the effects of contact and seepage forces demonstrates innovative approaches in geotechnical and environmental engineering.
Publications and Editorial Roles: Dr. Onyelowe has a strong publication record and holds editorial roles in reputable journals, highlighting recognition by the global scientific community.
Leadership and Service: Serving as Deputy Dean, participating in university committees, and organizing engineering events showcase his leadership qualities and commitment to institutional development.

Education 🎓

Dr. Onyelowe holds a Doctoral Dissertation from the University of the Peloponnese, Patras, Greece (2022-2025), focusing on Civil Engineering (Structures). He earned his Ph.D. in Civil Engineering (Geotechnical Engineering) from the University of Nigeria, Nsukka (2012-2015), following his Master of Engineering in Civil Engineering (Soil Mechanics and Foundation Engineering) from the same institution (2009-2010). His undergraduate studies culminated in a Bachelor of Engineering in Civil Engineering (Structures) from the Federal University of Technology, Owerri (1998-2003).

Experience 🎗️

Dr. Onyelowe’s academic career began in 2007 as a Graduate Assistant at Michael Okpara University of Agriculture, Umudike, where he steadily advanced through the ranks to become an Associate Professor in 2021. He has held multiple concurrent roles, including Associate Professor (Sabbatical) at Niger Delta University and Research Fellow at the University of the Peloponnese. His extensive teaching experience spans undergraduate to Ph.D. supervision, with research focusing on sustainable construction materials and computational geotechnics.

Research Interests On Engineering 🔬

His research interests encompass Computational Soil Mechanics, Structures Concrete, Soft Computing/Artificial Intelligence, Sustainable Construction Materials, Geotechnical Engineering, Unsaturated Soil Mechanics, Modeling and Optimization, Nanomaterials Technology, Environmental Geotechnics, Computational Geotechnics, Transportation Geotechnics, Soil Erosion, Experimental Geotechnics, Solid Waste, and Geomaterials.

Awards 🏆

Dr. Onyelowe has been recognized internationally for his contributions to geotechnical engineering and sustainable construction materials. His accolades include memberships in prestigious professional bodies such as the International Society of Soil Mechanics and Geotechnical Engineering (ISSMGE) and the International Association of Engineers (IAENG).

Publications 📚

Title: Recycling and reuse of solid wastes; a hub for ecofriendly, ecoefficient and sustainable soil, concrete, wastewater and pavement reengineering
- Authors: KC Onyelowe, D Bui Van, O Ubachukwu, C Ezugwu, B Salahudeen
- Year: 2019
- Citations: 84
Title: Multi-objective optimization of sustainable concrete containing fly ash based on environmental and mechanical considerations
- Authors: KC Onyelowe, DPN Kontoni, AM Ebid, F Dabbaghi, A Soleymani
- Year: 2022
- Citations: 74
Title: Scheffe optimization of swelling, California bearing ratio, compressive strength, and durability potentials of quarry dust stabilized soft clay soil
- Authors: K Onyelowe, G Alaneme, C Igboayaka, F Orji, H Ugwuanyi, DB Van
- Year: 2019
- Citations: 72
Title: A comparative review of soil modification methods
- Authors: C Onyelowe Ken, FO Okafor
- Year: 2006
- Citations: 72
Title: Application of 3-algorithm ANN programming to predict the strength performance of hydrated-lime activated rice husk ash treated soil
- Authors: KC Onyelowe, M Iqbal, FE Jalal, ME Onyia, IC Onuoha
- Year: 2021
- Citations: 67
Title: Nanosized palm bunch ash (NPBA) stabilisation of lateritic soil for construction purposes
- Authors: KC Onyelowe
- Year: 2019
- Citations: 66
Title: Effect of micro sized quarry dust particle on the compaction and strength properties of cement stabilized lateritic soil
- Authors: RK Etim, DU Ekpo, IC Attah, KC Onyelowe
- Year: 2021
- Citations: 59
Title: Durability of nanostructured biomasses ash (NBA) stabilized expansive soils for pavement foundation
- Authors: KC Onyelowe, BV Duc
- Year: 2020
- Citations: 56
Title: Smart computing models of California bearing ratio, unconfined compressive strength, and resistance value of activated ash-modified soft clay soil with adaptive neuro-fuzzy inference system
- Authors: M Iqbal, KC Onyelowe, FE Jalal
- Year: 2021
- Citations: 55
Title: Rheology of mechanical properties of soft soil and stabilization protocols in the developing countries-Nigeria

Authors: K Onyelowe, DB Van, C Igboayaka, F Orji, H Ugwuanyi
Year: 2019
Citations: 55

Conclusion 🔖

Dr. Kennedy Chibuzor Onyelowe’s career is a testament to his dedication to advancing civil engineering through sustainable and innovative practices. His contributions to teaching, research, and professional practice continue to inspire future generations of engineers while addressing global challenges in geotechnics and construction materials.

Suganya | Engineering | Best Researcher Award

Posted on 19/03/202519/03/2025 by sciencefather

Dr. Suganya | Engineering | Best Researcher Award

Assistant Professor | SRM Institute of Science and Technology | India

Y. Suganya, M.E., (Ph.D.), is a dedicated academic professional with over 14 years of teaching experience in Computer Science and Engineering. Her research focuses on machine learning and deep learning techniques for ovarian cyst classification and prediction. She has contributed significantly to academia through publications, conference presentations, and departmental leadership.

Professional profile👤

Google Scholar

Strengths for the Awards✨

Research Excellence: Y. Suganya has a strong research background, with a focus on machine learning and deep learning applications in medical imaging, particularly ovarian cyst classification. Her Ph.D. work aligns well with contemporary research trends in AI-driven healthcare.
Publication Record: She has published extensively in reputable journals and conferences, including Springer and IEEE Xplore, with multiple papers indexed in Scopus. These publications demonstrate the depth and quality of her research.
Teaching and Mentorship: Nearly 15 years of teaching experience, with a proven track record of producing 100% results in several semesters, indicates her commitment to education and mentorship.
Leadership and Service: She has taken on significant responsibilities such as coordinating accreditation processes (NBA), acting as Chief Superintendent for examinations, and serving as a journal reviewer. These roles highlight her leadership skills and service to the academic community.
Technical Proficiency: Proficiency in programming languages like Python, C, C++, and Java supports her research in machine learning and data analysis, making her technically well-equipped.

🎓 Education

Ph.D. (Computer Science and Engineering)
- Annamalai University, Tamil Nadu, India
- Thesis: “Classification and Prediction of Ovarian Cysts Using Machine Learning and Deep Learning Techniques” (Thesis Submitted: October 16, 2023)
Master of Engineering (Computer Science and Engineering)
- MIET College of Engineering (Affiliated to Anna University), Tamil Nadu, India (June 2011) – CGPA: 8.22 (First Class)
Bachelor of Engineering (Computer Science and Engineering)
- Royal College of Engineering (Affiliated to Anna University), Tamil Nadu, India (April 2005) – Percentage: 66.6% (First Class)

💼 Experience

Assistant Professor
- Mookambigai College of Engineering, Tamil Nadu, India (June 24, 2011 – Present)
Lecturer
- Idhaya College of Engineering for Women, Tamil Nadu, India (January 2, 2006 – April 15, 2007)

🔬 Research Interests On Engineering

Machine Learning and Deep Learning
Medical Image Processing
Ovarian Cyst Classification and Prediction
Artificial Intelligence in Healthcare

🏆 Awards

Annual Membership in ACM Professional Membership (ID: 5666897)
Reviewer for Journal Manuscript (Signal, Image, and Video Processing – Springer Nature) – November 8, 2024
Chief Superintendent for Theory Examination (Nov/Dec 2023), Anna University
Coordinated NBA Accreditation Work for the Computer Science Department

📝 Publications

Title: A diagnosis of ovarian cyst using deep learning neural network with XGBoost algorithm
Authors: Y Suganya, S Ganesan, P Valarmathi, T Suresh
Year: 2023
Citations: 17
Title: Ultrasound ovary cyst image classification with deep learning neural network with Support vector machine
Authors: Y Suganya, S Ganesan, P Valarmathi
Year: 2022
Citations: 11
Title: Classification of medical x-ray images for automated annotation
Authors: S Ganesan, TS Subashini
Year: 2014
Citations: 10
Title: Novel approach of internet of things (IoT) based smart ambulance system for patient’s health monitoring
Authors: A Bekkanti, R Aishwarya, Y Suganya, P Valarmathi, S Ganesan, …
Year: 2021
Citations: 7
Title: Classification of X-rays using statistical moments and SVM
Authors: S Ganesan, TS Subashini, K Jayalakshmi
Year: 2014
Citations: 7
Title: An approach toward the efficient indexing and retrieval on medical X-ray images
Authors: S Ganesan, TS Subashini
Year: 2013
Citations: 7
Title: A content based approach to medical X-Ray image retrieval using texture features
Authors: S Ganesan, TS Subashini
Year: 2014
Citations: 6
Title: A Comparative Study on Consumer Courts in Tamil Nadu & Kerala States-A Statistical Survey Report
Authors: BY Krishna, Y Suganya
Year: 2011
Citations: 5
Title: Fuzzy based detection and swarm based authenticated routing in MANET
Authors: K Shanthi, T Jebarajan, P Sampath, W AMITABH, D RAMYA, …
Year: 2014
Citations: 3
Title: Comparative analysis of ovarian images classification for identification of cyst using ensemble method machine learning approach
Authors: Y Suganya, S Ganesan, P Valarmathi
Year: 2022
Citations: 2

📊 Conclusion

Y. Suganya is a passionate educator and researcher who has made remarkable contributions to machine learning and medical image processing, specifically focusing on ovarian cyst classification and prediction. With a wealth of teaching experience, active participation in departmental responsibilities, and numerous research publications, she continues to inspire and shape the future of computer science students.

Zejie Yu | Engineering | Best Researcher Award

Posted on 17/01/202517/01/2025 by sciencefather

Prof. Dr. Zejie Yu | Engineering | Best Researcher Award

Zhejiang University | China

Zejie Yu is a tenure-track professor at Zhejiang University in Hangzhou, China. With a strong foundation in optical and electronics engineering, he has contributed significantly to the fields of integrated photonics, nonlinear optics, and microwave photonics. His career began with his undergraduate studies at Zhejiang University, followed by a Ph.D. and postdoctoral research at The Chinese University of Hong Kong. He currently holds a prominent role in advancing photonic technologies and has made notable contributions to research in photonic chips and optical modulators.

Profile

Google Scholar

Orcid

Scopus

Strengths for the Awards

Academic and Professional Background:
- Zejie Yu holds a B.S. in Optical Engineering and a Ph.D. in Electronics Engineering, with a strong track record of postdoctoral research and current tenure-track professorship at Zhejiang University. His expertise spans integrated photonics, nonlinear optics, and microwave photonics, which are highly relevant to contemporary technological advancements.
Research Output:
- His extensive publication list, featuring high-quality papers in top-tier journals like Advanced Science, Nanophotonics, Laser & Photonics Reviews, and ACS Photonics, showcases his active and innovative contributions to the field of photonics.
- His work often addresses cutting-edge technologies, such as electro-optic modulators, supercontinuum generation, and high-bandwidth integrated photonics.
Professional Engagement:
- Zejie Yu’s roles as a TPC member for conferences like ACP 2020 and 2021, as well as his position as a guest editor for JOSA B and Chinese Optics Letters, illustrate his leadership in advancing the field.
- He has been invited to give talks at major international conferences, signifying his recognition and influence among peers.
Research Funding:
- His involvement in prestigious research projects funded by the National Natural Science Foundation of China and other significant national programs highlights his ability to secure funding for innovative and impactful research.

Education🎓

Zejie Yu’s academic journey began with a Bachelor of Science in Optical Engineering from Zhejiang University, China, in 2015. His focus on advanced engineering education led him to the prestigious Chinese University of Hong Kong, where he earned his Ph.D. in Electronics Engineering in 2019. He continued his research there as a postdoctoral fellow before joining Zhejiang University as a faculty member in 2020.

Experience📈

After completing his Ph.D., Zejie Yu worked as a postdoctoral researcher at The Chinese University of Hong Kong, where he honed his expertise in photonics and optics. In 2020, he transitioned to Zhejiang University as a tenure-track professor, where he continues to lead significant research projects. He also actively contributes to the scientific community as a young editor for Chinese Optics Letters and as a guest editor for JOSA B.

Research Interest On Engineering🔬

Zejie Yu’s primary research interests include integrated photonics, nonlinear optics, and microwave photonics. His work focuses on developing advanced photonic devices, including high-performance optical modulators, photonic chips, and the application of lithium niobate in integrated photonics. His ongoing projects aim to push the boundaries of photonic technologies for future communication and computing applications.

Award🏆

Zejie Yu’s innovative contributions to photonics have earned him recognition in the scientific community. His research has been featured in top-tier journals and presented at various international conferences. While specific awards are not mentioned, his contributions to the field have undoubtedly positioned him as a leading figure in photonics research.

Publication📚

Photonic integrated circuits with bound states in the continuum
- Authors: Z Yu, X Xi, J Ma, HK Tsang, CL Zou, X Sun
- Year: 2019
- Citations: 179
Genetic-algorithm-optimized wideband on-chip polarization rotator with an ultrasmall footprint
- Authors: Z Yu, H Cui, X Sun
- Year: 2017
- Citations: 139
Acousto-optic modulation of photonic bound state in the continuum
- Authors: Z Yu, X Sun
- Year: 2020
- Citations: 133
High-dimensional communication on etchless lithium niobate platform with photonic bound states in the continuum
- Authors: Z Yu, Y Tong, HK Tsang, X Sun
- Year: 2020
- Citations: 128
Ultralow‐loss silicon photonics beyond the singlemode regime
- Authors: L Zhang, S Hong, Y Wang, H Yan, Y Xie, T Chen, M Zhang, Z Yu, Y Shi, …
- Year: 2022
- Citations: 89
Genetically optimized on-chip wideband ultracompact reflectors and Fabry–Perot cavities
- Authors: Z Yu, H Cui, X Sun
- Year: 2017
- Citations: 89
Inverse-designed low-loss and wideband polarization-insensitive silicon waveguide crossing
- Authors: Z Yu, A Feng, X Xi, X Sun
- Year: 2018
- Citations: 60
Gigahertz acousto-optic modulation and frequency shifting on etchless lithium niobate integrated platform
- Authors: Z Yu, X Sun
- Year: 2021
- Citations: 57
Ultranarrow-band metagrating absorbers for sensing and modulation
- Authors: A Feng, Z Yu, X Sun
- Year: 2018
- Citations: 56
Compact electro-optic modulator on lithium niobate
- Authors: B Pan, H Cao, Y Huang, Z Wang, K Chen, H Li, Z Yu, D Dai
- Year: 2022
- Citations: 55

Conclusion🔮

Zejie Yu’s academic and professional trajectory exemplifies a commitment to advancing the field of integrated photonics. His impressive educational background, extensive research, and leadership in numerous professional activities reflect his significant contributions to photonics. His continued success as a tenure-track professor at Zhejiang University promises further innovation and breakthroughs in the field of photonic engineering.