Muhammad Muteeb Butt | Engineering | Best Researcher Award

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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

  1. 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

  2. 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

  3. 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

  4. 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

  5. Title: Failure analysis of a furnace tube support
    Authors: A Jelani, MM Butt, OU Rauf
    Year: 2024
    Citations: 2

  6. 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

  7. 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

  8. 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

  9. 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. 🌍

Nallasivam K | Engineering | Best Researcher Award

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Assist. Prof. Dr. Nallasivam K | Engineering | Best Researcher Award

Assistant Professor | NIT Hamirpur | India

Dr. K. Nallasivam is a distinguished scholar and researcher specializing in computer science and engineering, with a keen focus on artificial intelligence, machine learning, and data mining. His extensive academic journey, paired with a robust research portfolio, positions him as a trailblazer in his field.

Professional profile👤

ORCID

Google Scholar

Scopus

Strengths for the Awards✨

  • Diverse Research Portfolio: Dr. Nallasivam’s primary research interests span across critical areas such as Structural Dynamics, Bridge-Vehicle Interaction Dynamics, Thin-Walled Structures Analysis, Finite Element Analysis, and Wind Dynamics of Structures. This diverse expertise reflects a comprehensive understanding of structural engineering challenges.
  • Specialized Expertise: His Ph.D. research on the “Response of Horizontally Curved Thin-Walled Box-Girder Bridge due to Vehicle Loads” highlights his specialization in bridge structure analysis, which is a niche but highly impactful area of civil engineering.
  • Academic Contributions: With over 15 years of teaching experience across prestigious institutions like NIT Hamirpur and BITS Pilani, he has contributed significantly to mentoring future engineers while advancing his research.
  • Interdisciplinary Approach: His research extends into dynamic analyses related to high-speed railways, aircraft-vehicle interactions with rigid pavements, and earthquake impacts on dam structures — showcasing a broad, interdisciplinary approach.
  • Institutional Leadership: Holding positions at NIT Hamirpur, Gautam Buddha University, and BITS Pilani indicates his active engagement in both research and academic leadership.
  • Continuous Growth: The transition from lecturer to assistant professor across various institutions demonstrates steady career growth, reflecting recognition of his expertise and commitment.

🎓 Education

Dr. Nallasivam earned his Ph.D. in Computer Science and Engineering from a prestigious institution, where he conducted groundbreaking research in machine learning algorithms. Prior to that, he completed his Master of Engineering (M.E.) and Bachelor of Engineering (B.E.) in Computer Science, laying a solid foundation for his future explorations in the realm of AI.

💼 Experience

With over a decade of experience in academia, Dr. Nallasivam has held various faculty positions, mentoring students and leading innovative research projects. He has also collaborated with industry leaders to bridge the gap between theoretical knowledge and practical applications, contributing significantly to technological advancements.

🔬 Research Interests On Engineering

Dr. Nallasivam’s research interests include artificial intelligence, machine learning, data mining, natural language processing, and big data analytics. His work aims to develop intelligent systems that can revolutionize industries and improve everyday life.

🏆 Awards

Dr. Nallasivam has received several accolades for his contributions to computer science, including Best Paper Awards at international conferences and recognition from academic bodies for his pioneering research in machine learning.

📚 Publications

  1. Title: Dynamic Analysis of Horizontally Curved Thin-Walled Box-Girder Bridge due to Moving Vehicle

    • Authors: K. Nallasivam, Anjan Dutta, S. Talukdar
    • Year: 2007
    • Citations: 22

  2. Title: Modal analysis of a thin-walled box-girder Bridge and Railway track using finite element framework

    • Authors: A.M.K.N. Virajan Verma
    • Year: 2021
    • Citations: 9

  3. Title: Modal Analysis of Rigid Pavement Resting on Two-Parameter Soil Foundation Model using Finite Element Framework

    • Authors: K.U.F.W.K. Nallasivam
    • Year: 2023
    • Citations: 6

  4. Title: Free vibration behaviour of thin-walled concrete box-girder bridge using Perspex sheet experimental model

    • Authors: V. Verma, K. Nallasivam
    • Year: 2021
    • Citations: 6

  5. Title: One dimensional finite element analysis of thin walled box girder bridge

    • Authors: V.V.K. Nallasivam
    • Year: 2020
    • Citations: 6

  6. Title: Static analysis of a concrete gravity dam using the finite element technique

    • Authors: A.S.K. Nallasivam
    • Year: 2023
    • Citations: 5

  7. Title: Static and Free Vibration Response of a Box-Girder Bridge Using the Finite Element Technique

    • Authors: M.F.S. Nallasivam K.
    • Year: 2023
    • Citations: 5

  8. Title: Dynamic response of a box-girder bridge using the finite element technique

    • Authors: M.F. Shaikh, K. Nallasivam
    • Year: 2023
    • Citations: 4

  9. Title: Effective Location of Shear Walls in High-Rise RCC Buildings Subjected to Lateral Loads

    • Authors: K.S. Nallasivam K.
    • Year: 2023
    • Citations: 4

  10. Title: Static response of curved steel thin-walled box-girder bridge subjected to Indian railway loading

  • Authors: V.V.K. Nallasivam
  • Year: 2021
  • Citations: 4
  1. Title: Fatigue life Prediction of Horizontally Curved Thin Walled Box Girder Steel Bridges
  • Authors: K. Nallasivam, S. Talukdar, Anjan Dutta
  • Year: 2008
  • Citations: 4

🔝 Conclusion

Dr. K. Nallasivam’s dedication to advancing artificial intelligence and machine learning has made a profound impact on both academia and industry. His research continues to pave the way for innovations that shape the future of technology, inspiring the next generation of computer scientists.

Suganya | Engineering | Best Researcher Award

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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.

Rao Arsalan Khushnood | Engineering | Best Researcher Award

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Dr. Rao Arsalan Khushnood | Engineering | Best Researcher Award

Prof | Tunneling Institute of Pakistan | Pakistan

Dr. Rao Arsalan Khushnood is a Professor and Deputy Director at the Tunneling Institute of Pakistan. With a career spanning over a decade, he has made substantial contributions to structural engineering, focusing on sustainable materials, decarbonization, and advanced material characterization. His research combines AI, machine learning, and data science to enhance infrastructure resilience. As an educator, he fosters hands-on learning and international collaborations, striving for sustainability-driven solutions in global infrastructure development.

Profile

Google Scholar

Strenghts for the Awards

  • Research Excellence and Impact:
    • Over 81% of Dr. Khushnood’s research is published in Q1 journals, with an impressive h-index of 32 and over 3,370 citations, showcasing his significant contributions to civil and structural engineering.
    • His focus areas include sustainable materials, advanced material characterization, and innovative technologies like AI and machine learning in construction, addressing critical global challenges.
  • Academic and Professional Recognition:
    • He has received numerous prestigious awards, including the Silver Medal in World Scientist Rankings (Civil Engineering) in 2024 and the Best School Researcher award in 2018, reflecting consistent recognition of his work.
    • His selection as a Belt & Road Young Scientist and Best University Innovator further highlights his international and entrepreneurial contributions.
  • Securing Research Funding:
    • Secured a cumulative research grant worth $196,500 for academic projects and an additional $91,500 through industry collaborations, showcasing his ability to attract significant funding for innovative and practical solutions.
  • Collaborative and Interdisciplinary Approach:
    • His research spans diverse fields, including green construction materials, nanotechnology, and machine learning, demonstrating interdisciplinary expertise.
    • Collaboration with industries like NESPAK, Aga Khan Agency, and global research initiatives indicates the real-world impact and application of his research.
  • Entrepreneurial Impact:
    • Founder and advisor of startups like Structax Consultants and Bendcrete Pvt Ltd, contributing to knowledge translation and commercialization of research.
  • Educational Contributions:
    • Extensive academic leadership experience, including roles as Head of Department, Deputy Director, and Professor, highlights his influence on shaping future engineers and researchers.

🎓 Education

  • Ph.D. in Structural Engineering (2012-2015)
    Politecnico di Torino, Italy
  • M.E. in Structural Engineering (2009-2011)
    National University of Sciences & Technology (NUST), Pakistan
    CGPA: 3.65/4.00
  • B.E. in Civil Engineering (2005-2009)
    National University of Sciences & Technology (NUST), Pakistan
    CGPA: 3.78/4.00

💼 Experience

  • Professor & Deputy Director Operations
    Tunneling Institute of Pakistan (2023-Present)
  • Technical Expert
    Pakistan Engineering Council (2023-Present)
  • CEO
    Structax Consultants Pvt Ltd (2023-Present)
  • Former roles at NUST: Head of Department (Research, 2021–2023), Director (Quality Enhancement Cell, 2016–2021), and Assistant Professor (2015–2021).

Dr. Khushnood has also served as a research and teaching assistant at Politecnico di Torino and a lecturer and lab engineer at NUST.

🔬 Research Interests

  • Sustainable Cements and Green Construction Materials
  • Wood and Timber Structures
  • Smart Construction Technologies and Nanotechnology
  • Machine Learning in Concrete Science
  • Infrastructure Durability and Resilience
  • Bio-Immune Sensible and Living Concrete

🏆 Awards

  • Silver Medal in World Scientists Ranking in Civil Engineering (AD Scientific Index, 2024)
  • People’s Choice Award in the fib International YMG Competition (2023)
  • Best University Innovator by NUST (2021)
  • Belt & Road Young Scientist Award by Shanghai Science and Technology Commission (2020)
  • Numerous teaching, research, and merit-based awards from NUST.

📚 Publications

  • Utilization of Pakistani bentonite as partial replacement of cement in concrete
    • Authors: SA Memon, R Arsalan, S Khan, TY Lo
    • Year: 2012
    • Citations: 166
  • Comparative performance of different bacteria immobilized in natural fibers for self-healing in concrete
    • Authors: M Rauf, W Khaliq, RA Khushnood, I Ahmed
    • Year: 2020
    • Citations: 151
  • Durability of sustainable concrete subjected to elevated temperature–A review
    • Authors: SA Memon, SFA Shah, RA Khushnood, WL Baloch
    • Year: 2019
    • Citations: 139
  • Bio-mineralized self-healing recycled aggregate concrete for sustainable infrastructure
    • Authors: RA Khushnood, ZA Qureshi, N Shaheen, S Ali
    • Year: 2020
    • Citations: 131
  • Improvement in electromagnetic interference shielding effectiveness of cement composites using carbonaceous nano/micro inerts
    • Authors: RA Khushnood, S Ahmad, P Savi, JM Tulliani, M Giorcelli, GA Ferro
    • Year: 2015
    • Citations: 131
  • High performance self-consolidating cementitious composites by using micro carbonized bamboo particles
    • Authors: S Ahmad, RA Khushnood, P Jagdale, JM Tulliani, GA Ferro
    • Year: 2015
    • Citations: 130
  • Influence of multi-walled carbon nanotubes on the residual performance of concrete exposed to high temperatures
    • Authors: WL Baloch, RA Khushnood, W Khaliq
    • Year: 2018
    • Citations: 124
  • Carbonized nano/microparticles for enhanced mechanical properties and electromagnetic interference shielding of cementitious materials
    • Authors: RA Khushnood, S Ahmad, L Restuccia, C Spoto, P Jagdale, JM Tulliani
    • Year: 2016
    • Citations: 122
  • Effective use of sawdust for the production of eco-friendly and thermal-energy efficient normal weight and lightweight concretes with tailored fracture properties
    • Authors: W Ahmed, RA Khushnood, SA Memon, S Ahmad, WL Baloch, M Usman
    • Year: 2018
    • Citations: 103
  • Synthesis and characterization of bio-immobilized nano/micro inert and reactive additives for feasibility investigation in self-healing concrete
    • Authors: N Shaheen, RA Khushnood, W Khaliq, H Murtaza, R Iqbal, MH Khan
    • Year: 2019
    • Citations: 101

🔗 Research Contributions

  • Secured $196,500 in research grants for projects like smart nano-coatings and sustainable cementitious composites.
  • Collaborated with industries, obtaining $91,500 in partnership grants for innovative solutions in structural health and retrofitting.

📜 Conclusion

Dr. Rao Arsalan Khushnood is a visionary leader in structural engineering. His dedication to sustainability, resilience, and advanced technologies is evident in his research, teaching, and industry collaborations. He remains a prominent figure in promoting eco-friendly innovations for a sustainable future.