Muhammad Umair | Engineering | Best Researcher Award

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Dr. Muhammad Umair | Engineering | Best Researcher Award

National Textile University | Pakistan

Dr. Muhammad Umair is a Fulbright Postdoc Researcher at NCSU, USA (2025–2026), an Assistant Professor (on leave) at National Textile University (NTU), Pakistan, and a Professional Engineer (PE). Recognized as a Top 2% Highly Cited Researcher (Elsevier, 2023), he specializes in advanced textiles, composites, and protective materials. With 15+ years of industrial and academic experience, he has supervised 3 PhD, 28 MS, and 35 BS students and secured ₨234M (≈$850K) in research grants.

Professional profile👤

Google Scholar

ORCID

Scopus

Strengths for the Awards✨

Dr. Muhammad Umair exemplifies exceptional merit for the Best Researcher Award through his comprehensive portfolio of academic, industrial, and research achievements. As a Fulbright Postdoctoral Researcher at North Carolina State University (2025–2026), his global academic presence is already firmly established. Notably, he was named among the top 2% highly cited researchers in 2023 by Elsevier and Stanford University, a recognition that highlights his impact and influence in the field of textile engineering and composite materials.

He holds a Ph.D. in Textile Engineering with specialization in 3D woven fiber-reinforced polymeric composites and has accumulated 15 years of professional experience, encompassing 4 years in industry and 11 years in academia, including research and administration. His supervision record is commendable, with 3 PhDs, 28 MS, and 35 BS students either supervised or co-supervised, demonstrating his commitment to academic mentorship.

Education 🎓

  • PhD Textile Engineering (2018, NTU, Pakistan | CGPA: 3.53/4)

  • M.Sc. Textile Engineering (2014, NTU | CGPA: 3.60/4)

  • B.Sc. Textile Engineering (2009, NTU | CGPA: 3.20/4)

Experience 💼

  • Fulbright Postdoc Researcher, NCSU, USA (2025–2026)

  • Assistant Professor/Director, National Center for Composite Materials (NC²M), NTU (2018–2024)

  • Industrial Expert, Crescent Textile Mills (2010–2013)

  • Graduate Programs Coordinator, NTU (2022–2024)

Research Interests On Engineering 🔍

  • 2D/3D woven composites (H/I/T/O shapes, turbine blades)

  • Thermal protection textiles (heat/cold comfort)

  • Natural/high-performance fiber composites

  • Mechanical characterization & statistical modeling

Awards & Honors 🏆

  • Top 2% Highly Cited Researcher (Elsevier, 2023)

  • Fulbright Postdoctoral Fellowship (2025)

  • Permanent Member, International Association of Engineers (IAENG)

  • National Patent (#144198, IPO-Pakistan, 2024)

Publications 📚

  • Title: Extraction and characterization of novel fibers from Vernonia elaeagnifolia as a potential textile fiber
    Authors: K Shaker, RMWU Khan, M Jabbar, M Umair, A Tariq, M Kashif, Y Nawab
    Year: 2020
    Citations: 73

  • Title: Investigating the mechanical behavior of composites made from textile industry waste
    Authors: M Umar, K Shaker, S Ahmad, Y Nawab, M Umair, M Maqsood
    Year: 2017
    Citations: 67

  • Title: Effect of woven fabric structure on the air permeability and moisture management properties
    Authors: M Umair, T Hussain, K Shaker, Y Nawab, M Maqsood, M Jabbar
    Year: 2016
    Citations: 62

  • Title: Impact of hydrophobic treatment of jute on moisture regain and mechanical properties of composite material
    Authors: A Ali, K Shaker, Y Nawab, M Ashraf, A Basit, S Shahid, M Umair
    Year: 2015
    Citations: 56

  • Title: Structural textile design: interlacing and interlooping
    Authors: Y Nawab, STA Hamdani, K Shaker
    Year: 2017
    Citations: 52

  • Title: Textile engineering: an introduction
    Authors: Y Nawab, K Shaker
    Year: 2023
    Citations: 47

  • Title: Cellulosic fillers extracted from Argyreia speciose waste: a potential reinforcement for composites to enhance properties
    Authors: K Shaker, M Umair, S Shahid, M Jabbar, RMW Ullah Khan, M Zeeshan, et al.
    Year: 2022
    Citations: 47

  • Title: Fibers for technical textiles
    Authors: S Ahmad, T Ullah, Ziauddin
    Year: 2020
    Citations: 46

  • Title: Optimization of 3D woven preform for improved mechanical performance
    Authors: M Kashif, STA Hamdani, Y Nawab, MA Asghar, M Umair, K Shaker
    Year: 2019
    Citations: 45

  • Title: Mechanical Behaviour of Hybrid Composites Developed from Textile Waste
    Authors: Z Masood, S Ahmad, M Umair, K Shaker, Y Nawab, M Karahan
    Year: 2018
    Citations: 44

Conclusion 🌟

Dr. Umair is a leading researcher in advanced textiles and composites, bridging academia and industry. His work on 3D woven structures, sustainable materials, and protective gear has global impact, supported by prestigious grants and collaborations. His upcoming Fulbright research at NCSU aims to innovate 3D woven composites for automotive/sports industries.

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.