Shagufta Riaz | Engineering | Women Researcher Award

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Dr. Shagufta Riaz | Engineering | Women Researcher Award

Dr. Shagufta Riaz, National Textile University, Pakistan 

Dr. Shagufta Riaz is an Assistant Professor in the Department of Textile Engineering at National Textile University, Faisalabad, Pakistan. With a Ph.D. in Textile Engineering, she specializes in functional textiles, focusing on the use of nanomaterials for textile development. Dr. Riaz has authored several influential publications and has completed various high-impact research projects. She has worked as a researcher at the Wilson School of Textiles in the USA and is actively involved in advancing textile innovations. A member of prestigious international organizations like the Textile Institute and the Pakistan Engineering Council, Dr. Riaz is committed to sustainable textile solutions.

Professional Profile

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Suitability of Dr. Shagufta Riaz for the Research for Women Researcher Award

Dr. Shagufta Riaz is a highly accomplished researcher in textile engineering, specializing in functional textiles and nanotechnology applications. Her extensive academic background, including a Ph.D. in Textile Engineering and international research experience at the Wilson School of Textiles, NCSU, USA, demonstrates her expertise in the field. She has significantly contributed to the advancement of sustainable textile innovations, textile finishing, and the development of nanomaterials for multifunctional textile applications. As an HEC Ph.D. Approved Supervisor and a Fellow of the Textile Institute, UK, she has played a crucial role in mentoring young researchers and advancing academic excellence in textile engineering.

Her research portfolio includes several high-impact projects funded at both national and international levels, focusing on crucial areas such as RF-shielding maternity garments, recycling of cellulosic waste for graphene quantum dots, and sustainable bio-processing in textile manufacturing. Additionally, her collaborations with industry highlight her ability to bridge the gap between academic research and practical industrial applications. Notable projects include the development of antibacterial medical gauze, pesticide-resistant clothing, and UV-shielding protective garments, which showcase her commitment to improving textile functionality for real-world challenges.

๐ŸŽ“ Education

Dr. Shagufta Riaz holds a Ph.D. in Textile Engineering from National Textile University, Faisalabad, Pakistan, where she also completed her M.Sc. in Textile Advanced Materials Engineering and B.Sc. in Textile Engineering with distinctions. She further honed her skills as a researcher at the Wilson School of Textiles, North Carolina State University, USA. This educational foundation, coupled with her hands-on research experience, forms the backbone of her expertise in nanotechnology, textile finishing, and sustainable textile innovations.

๐Ÿ’ผ Professional Experience

Dr. Shagufta Riaz is an Assistant Professor at National Textile University, Faisalabad. She has led and collaborated on multiple research projects, including those in partnership with international institutions and the textile industry. Her professional experience spans research in textile engineering, focusing on nanomaterials and sustainable solutions. Dr. Riaz has consulted on industry projects to optimize processes in textile production, such as designing protective garments and improving fabric properties. Her role as a Ph.D. supervisor and her recognition as a Fellow of the Textile Institute, UK, highlight her significant contribution to academia and industry.

๐Ÿ… Awards and Recognition

Dr. Shagufta Riazโ€™s academic excellence is evidenced by her recognition as a Fellow of the Textile Institute, UK, and a Lifetime Member of the Pakistan Engineering Council. She has received multiple accolades for her contributions to textile engineering, including a significant number of awards for her research in nanotechnology and textile innovations. Her work, recognized internationally, is reflected in numerous high-impact publications and the completion of major research and consultancy projects in collaboration with the textile industry.

๐ŸŒ Research Skills On Engineering

Dr. Riaz is an expert in nanotechnology applications in textile engineering, particularly for the development of multifunctional textiles. Her research focuses on the integration of nanomaterials to enhance textile properties such as antimicrobial, UV resistance, and electrical shielding. She has completed several research projects under government and industry funding, contributing valuable advancements in sustainable textiles, functional finishes, and eco-friendly processes. Dr. Riazโ€™s skills extend to guiding doctoral research and publishing in prestigious journals, marking her as a leading researcher in textile engineering.

๐Ÿ“– Publication Top Notes

  • Fabrication of robust multifaceted textiles by application of functionalized TiOโ‚‚ nanoparticles

    • Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain, A. Younus
    • Citations: 95
    • Year: 2019

  • Functional finishing and coloration of textiles with nanomaterials

    • Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain, A. Rehman, A. Javid, K. Iqbal, โ€ฆ
    • Citations: 77
    • Year: 2018

  • Modification of silica nanoparticles to develop highly durable superhydrophobic and antibacterial cotton fabrics

    • Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain
    • Citations: 58
    • Year: 2019

  • Electrospun nanofiber-based viroblock/ZnO/PAN hybrid antiviral nanocomposite for personal protective applications

    • Authors: A. Salam, T. Hassan, T. Jabri, S. Riaz, A. Khan, K.M. Iqbal, S. Khan, M. Wasim, โ€ฆ
    • Citations: 41
    • Year: 2021

  • Cationization of TiOโ‚‚ nanoparticles to develop highly durable multifunctional cotton fabric

    • Authors: S. Riaz, M. Ashraf, H. Aziz, A. Younus, M. Umair, A. Salam, K. Iqbal, โ€ฆ
    • Citations: 31
    • Year: 2022

  • Layer by layer deposition of PEDOT, silver and copper to develop durable, flexible, and EMI shielding and antibacterial textiles

    • Authors: S. Riaz, S. Naz, A. Younus, A. Javid, S. Akram, A. Nosheen, M. Ashraf
    • Citations: 26
    • Year: 2022

  • Multifunctional formaldehyde-free finishing of cotton by using metal oxide nanoparticles and eco-friendly cross-linkers

    • Authors: N. Sarwar, M. Ashraf, M. Mohsin, A. Rehman, A. Younus, A. Javid, K. Iqbal, โ€ฆ
    • Citations: 24
    • Year: 2019

  • In situ development and application of natural coatings on non-absorbable sutures to reduce incision site infections

    • Authors: R. Masood, T. Hussain, M. Umar, Azeemullah, T. Areeb, S. Riaz
    • Citations: 21
    • Year: 2017

  • Selection and Optimization of Silane Coupling Agents to Develop Durable Functional Cotton Fabrics Using TiOโ‚‚ Nanoparticles

    • Authors: S. Riaz, M. Ashraf, T. Hussain, M.T. Hussain, A. Younus, M. Raza, A. Nosheen
    • Citations: 20
    • Year: 2021

  • Simultaneous fixation of wrinkle-free finish and reactive dye on cotton using response surface methodology

    • Authors: S. Abid, T. Hussain, A. Nazir, Z.A. Raza, A. Siddique, A. Azeem, S. Riaz
    • Citations: 16
    • Year: 2018

Farzad Pashmforoush | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Farzad Pashmforoush | Engineering | Best Researcher Award

Assoc. Prof. Dr. Farzad Pashmforoush, University of Maragheh, Iran

Farzad Pashmforoush is a distinguished Associate Professor at the University of Maragheh, specializing in Mechanical Engineering. Born on July 31, 1987, he has dedicated his career to advancing research in composite materials, artificial intelligence, finite element methods, and non-destructive testing. His academic journey began at the University of Tabriz, where he ranked first in his Bachelorโ€™s program. He continued his education at Amirkabir University of Technology, earning both his Masterโ€™s and PhD with exceptional grades. Dr. Pashmforoushโ€™s contributions to the field are reflected in his extensive research on damage identification in composite structures, optimization techniques, and material characterization. With numerous high-impact publications, citations, and an h-index of 9, his work has influenced academia and industry alike. His passion for innovation and excellence has earned him significant recognition, making him a leading figure in mechanical engineering research.

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Suitability for the Research for Best Researcher Award โ€“ Farzad Pashmforoush

Dr. Farzad Pashmforoush is a distinguished researcher and academic with a strong background in mechanical engineering, particularly in areas such as composite materials, finite element method (FEM), artificial intelligence, fracture mechanics, and non-destructive testing (NDT). His academic journey reflects excellence at every level, securing top ranks during his Bachelorโ€™s and Masterโ€™s degrees, followed by a high distinction PhD from Amirkabir University of Technology. His doctoral work on the numerical-experimental study of magnetic abrasive finishing of optical glass showcases innovative problem-solving abilities and a commitment to advancing material science and manufacturing techniques.

His research contributions are extensive and impactful, as evidenced by 26 high-quality journal publications in esteemed journals, over 400 citations, and an h-index of 9 on Google Scholar. His works span damage characterization in composite materials, deep learning for autonomous damage recognition, optimization techniques, and multiphysics simulations, demonstrating a multidisciplinary approach to mechanical engineering. Additionally, his application of artificial intelligence in non-destructive evaluation and advanced material testing methods showcases his ability to integrate cutting-edge technology into engineering research.

๐ŸŽ“ Education

Farzad Pashmforoushโ€™s academic journey began at the University of Tabriz, where he completed his Bachelor of Science in Mechanical Engineering in 2009, ranking first with a grade of 18.86. He continued his education at Amirkabir University of Technology, earning a Master of Science in 2011, with a thesis on damage modes in composite materials, also achieving first rank. He further advanced his studies, obtaining a Ph.D. in Mechanical Engineering from the same university in 2015. His doctoral thesis focused on numerical-experimental studies of magnetic abrasive finishing of optical glass. Throughout his academic career, Farzad maintained an outstanding academic performance, receiving top grades and contributing to innovative research. His advanced training and in-depth knowledge of mechanical engineering have set the foundation for a successful academic and research career.

๐Ÿ’ผ Professional Experience

Farzad Pashmforoush has had a distinguished academic career, with extensive experience as an Associate Professor in Mechanical Engineering at the University of Maragheh. He has taught and mentored students in advanced topics such as composite materials, non-destructive testing, and fracture mechanics. His research focuses on finite element methods, artificial intelligence applications in engineering, and composite material behavior. Farzad has also collaborated with international institutions on projects involving acoustic emission techniques for damage detection in composites and the optimization of manufacturing processes. His expertise in experimental mechanics, data analysis, and numerical modeling has resulted in numerous high-impact publications. As an educator and researcher, he is dedicated to advancing engineering technology while fostering the next generation of engineers through innovative teaching and research initiatives.

๐Ÿ… Awards and Recognition

Farzad Pashmforoush has received numerous accolades throughout his career for his outstanding contributions to mechanical engineering. He was recognized as a top graduate in both his undergraduate and graduate studies, receiving the first-rank distinction at both the University of Tabriz and Amirkabir University of Technology. His research on composite materials, non-destructive testing, and fracture mechanics has earned him high citation counts and recognition from peers in the academic community. Additionally, Farzad has been acknowledged for his role in advancing mechanical engineering research and education, earning grants and research funding for innovative projects. His excellence in teaching and research, along with his impactful publications, continues to shape the future of engineering education and practice.

๐ŸŒ Research Skills On Engineering

Farzad Pashmforoush possesses a broad range of research skills, making him a leading expert in his field. His proficiency in finite element methods (FEM) allows him to model and analyze complex engineering problems, particularly in the areas of composite materials and structural analysis. Farzadโ€™s research integrates artificial intelligence techniques, such as deep learning, to enhance the evaluation and optimization of engineering processes. His extensive use of non-destructive testing (NDT) methods, particularly acoustic emission, enables him to study material behavior and detect damage in real-time. In addition, his expertise in fracture mechanics and damage detection provides valuable insights into the durability and performance of materials. Farzadโ€™s approach combines theoretical analysis with experimental validation, ensuring the practical application of his research in industry. His innovative use of advanced technologies and methodologies has garnered widespread recognition in the engineering community.

๐Ÿ“– Publication Top Notes 

  • โ€œAutonomous damage recognition in visual inspection of laminated composite structures using deep learningโ€

    • Authors: S. Fotouhi, F. Pashmforoush, M. Bodaghi, M. Fotouhi
    • Journal: Composite Structures
    • Citation: 87
    • Year: 2021

  • โ€œCharacterization of composite materials damage under quasi-static three-point bending test using wavelet and fuzzy C-means clusteringโ€

    • Authors: M. Fotouhi, H. Heidary, M. Ahmadi, F. Pashmforoush
    • Journal: Journal of Composite Materials
    • Citation: 86
    • Year: 2012

  • โ€œDamage classification of sandwich composites using acoustic emission technique and k-means genetic algorithmโ€

    • Authors: F. Pashmforoush, R. Khamedi, M. Fotouhi, M. Hajikhani, M. Ahmadi
    • Journal: Journal of Nondestructive Evaluation
    • Citation: 83
    • Year: 2014

  • โ€œAcoustic emission-based damage classification of glass/polyester composites using harmony search k-means algorithmโ€

    • Authors: F. Pashmforoush, M. Fotouhi, M. Ahmadi
    • Journal: Journal of Reinforced Plastics and Composites
    • Citation: 72
    • Year: 2012

  • โ€œDamage characterization of glass/epoxy composite under three-point bending test using acoustic emission techniqueโ€

    • Authors: F. Pashmforoush, M. Fotouhi, M. Ahmadi
    • Journal: Journal of Materials Engineering and Performance
    • Citation: 66
    • Year: 2012

  • โ€œInfluence of water-based copper nanofluid on wheel loading and surface roughness during grinding of Inconel 738 superalloyโ€

    • Authors: F. Pashmforoush, R. D. Bagherinia
    • Journal: Journal of Cleaner Production
    • Citation: 64
    • Year: 2018

  • โ€œMonitoring the initiation and growth of delamination in composite materials using acoustic emission under quasi-static three-point bending testโ€

    • Authors: M. Fotouhi, F. Pashmforoush, M. Ahmadi, A. Refahi Oskouei
    • Journal: Journal of Reinforced Plastics and Composites
    • Citation: 64
    • Year: 2011

  • โ€œStatistical analysis on free vibration behavior of functionally graded nanocomposite plates reinforced by graphene plateletsโ€

    • Authors: F. Pashmforoush
    • Journal: Composite Structures
    • Citation: 48
    • Year: 2019

  • โ€œNano-finishing of BK7 optical glass using magnetic abrasive finishing processโ€

    • Authors: F. Pashmforoush, A. Rahimi
    • Journal: Applied Optics
    • Citation: 42
    • Year: 2015

  • โ€œInterfacial characteristics and thermo-mechanical properties of calcium carbonate/polystyrene nanocompositeโ€

    • Authors: F. Pashmforoush, S. Ajori, H. R. Azimi
    • Journal: Materials Chemistry and Physics
    • Citation: 27
    • Year: 2020

 

Siyuan Song | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Siyuan Song | Engineering | Best Researcher Award

๐Ÿ‘ค Assoc. Prof. Dr. Siyuan Song, Arizona State University, United States

Dr. Siyuan Song is an Associate Professor at Arizona State Universityโ€™s Del E. Webb School of Construction, within the School of Sustainable Engineering and the Built Environment. He specializes in construction safety, AI in construction, and workforce development. Dr. Song earned his Ph.D. in Civil Engineering from the University of Alabama, where he focused on construction equipment productivity. He has a strong background in construction engineering and management, which he combines with cutting-edge research in construction automation and robotics. He is dedicated to advancing safety in the construction industry through innovative training programs and workforce development initiatives. Dr. Song has contributed extensively to the field with a focus on enhancing safety protocols in high-risk environments, such as construction sites and surface mining.

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๐ŸŒŸ  Suitability For the Best Researcher Award

Siyuan Song, Ph.D., is an exceptional candidate for the Research for Best Researcher Award due to his extensive contributions to construction safety, workforce development, and AI in construction. As an Associate Professor at Arizona State University, Dr. Song has built a distinguished academic and professional portfolio. His research focuses on addressing critical issues in construction, such as workplace safety, health training, automation, and robotics. His work aligns with key global challenges, particularly in improving safety and health conditions for construction workers, an area in which he has secured significant research funding.

Dr. Songโ€™s professional achievements include receiving multiple prestigious awards, such as the Best Division Paper Award from the American Society for Engineering Education (ASEE) in 2023, and the Outstanding Contribution to Workplace Industry Training Award at the Immersive Learning Research Network (iLRN) Annual Conference in 2023. His dedication to advancing construction safety is evident in his leadership of numerous research projects funded by organizations like the Department of Labor (OSHA and MSHA), focusing on heat-related illness prevention, hazard awareness, and worker safety.

๐ŸŽ“ Education

Dr. Song completed his Ph.D. in Civil Engineering from the University of Alabama in 2017, where his dissertation focused on โ€œConstruction Equipment Travel Path Visualization and Productivity Evaluation.โ€ He also holds a Master of Science in Civil Engineering, with a thesis on โ€œLocation-Based Tracking of Construction Equipment for Automated Cycle-Time Analysis.โ€ His undergraduate degree, a Bachelor of Science in Construction Engineering and Management, was awarded by Suzhou University of Science and Technology in 2014. His academic path has been defined by his commitment to developing innovative solutions to enhance safety and productivity in the construction industry.

๐Ÿ’ผ  Professional Experience

Dr. Song has extensive teaching and research experience in the field of construction engineering. He currently serves as an Associate Professor at Arizona State University, where he focuses on AI-driven solutions in construction safety. Prior to this, Dr. Song was an Assistant Professor at the University of Alabama and the University of Southern Mississippi. His career has been marked by a strong focus on workforce safety, training, and the use of technology to address challenges in the construction sector. He has also contributed significantly to research grants related to occupational safety and health.

๐Ÿ… Awards and Recognition

Dr. Song has received numerous awards for his contributions to construction safety and engineering education. Notable honors include the 2023 Best Division Paper Award from the American Society for Engineering Education (ASEE) Annual Conference, and the 2023 University of Alabama 18 Under 31 Young Alumni Award. He also earned the 2022 ASCE ExCEEd Teaching Fellow Award for Excellence in Civil Engineering Education. Dr. Songโ€™s early academic achievements were recognized through several awards at Suzhou University of Science and Technology, including the Outstanding Student Awards and Outstanding Student Leader awards, reinforcing his leadership and excellence in the field of engineering.

๐ŸŒ Research Skills On Engineering

Dr. Songโ€™s research is focused on construction safety and the integration of AI and robotics into the industry. He has expertise in workforce development, workplace safety training, and the automation of construction processes. His research methods often combine traditional construction engineering approaches with emerging technologies like AI, data analytics, and robotics. Dr. Song is passionate about enhancing safety standards on construction sites and has developed training programs aimed at preventing heat-related illnesses and improving hazard awareness for workers in high-risk environments.

๐Ÿ“– Publication Top Notes

  • Improving tolerance control on modular construction project with 3D laser scanning and BIM: A case study of removable floodwall project
    • Authors: H Li, C Zhang, S Song, S Demirkesen, R Chang
    • Citation: Applied Sciences 10 (23), 8680
    • Year: 2020
  • Construction site path planning optimization through BIM
    • Authors: S Song, E Marks
    • Citation: ASCE International Conference on Computing in Civil Engineering 2019, 369-376
    • Year: 2019
  • Fuzzy Multicriteria Decisionโ€Making Model for Timeโ€Costโ€Risk Tradeโ€Off Optimization in Construction Projects
    • Authors: MA Alzarrad, GP Moynihan, MT Hatamleh, S Song
    • Citation: Advances in Civil Engineering 2019 (1), 7852301
    • Year: 2019
  • Impact variables of dump truck cycle time for heavy excavation construction projects
    • Authors: S Song, E Marks, N Pradhananga
    • Citation: Journal of Construction Engineering and Project Management 7 (2), 11-18
    • Year: 2017
  • A study on assessing the awareness of heat-related illnesses in the construction industry
    • Authors: S Song, F Zhang
    • Citation: Construction Research Congress 2022, 431-440
    • Year: 2022
  • Industrial safety management using innovative and proactive strategies
    • Authors: S Song, I Awolusi
    • Citation: Concepts, Applications and Emerging Opportunities in Industrial Engineering
    • Year: 2020
  • Work-related fatalities analysis through energy source recognition
    • Authors: S Song, I Awolusi, Z Jiang
    • Citation: Construction Research Congress 2020, 279-288
    • Year: 2020
  • A Software-Based Approach for Acoustical Modeling of Construction Job Sites with Multiple Operational Machines
    • Authors: B Sherafat, A Rashidi, S Song
    • Citation: Construction Research Congress 2020, 886-895
    • Year: 2020
  • Steel manufacturing incident analysis and prediction
    • Authors: S Song, Q Lyu, E Marks, A Hainen
    • Citation: Journal of Safety, Health and Environmental Research 14 (1), 331-336
    • Year: 2018
  • Impact of discretionary safety funding on construction safety
    • Authors: S Song, I Awolusi, E Marks
    • Citation: Journal of Safety Health and Environmental Research 13 (2), 378-384
    • Year: 2017