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.

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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.

🎓 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.

💼 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.

🏅 Awards and Recognition

Dr. Shagufta Riaz’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.

🌍 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. Riaz’s skills extend to guiding doctoral research and publishing in prestigious journals, marking her as a leading researcher in textile engineering.

📖 Publication Top Notes

  • Fabrication of robust multifaceted textiles by application of functionalized TiO₂ 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, …
    • 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, …
    • Citations: 41
    • Year: 2021

  • Cationization of TiO₂ nanoparticles to develop highly durable multifunctional cotton fabric

    • Authors: S. Riaz, M. Ashraf, H. Aziz, A. Younus, M. Umair, A. Salam, K. Iqbal, …
    • 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, …
    • 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 TiO₂ 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

AWAIS KHAN | Engineering | Best Researcher Award

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Assist. Prof. Dr. AWAIS KHAN | Engineering | Best Researcher Award

👤 Assist. Prof. Dr. AWAIS KHAN, Beijing Institute of Technology Zhuhai Campus, China

Dr. Awais Khan is an Assistant Professor at the Beijing Institute of Technology, Zhuhai Campus, specializing in advanced control systems, renewable energy technologies, and interval observers. With a PhD in Control Theory and Control Engineering from South China University of Technology, Dr. Khan has made significant contributions to mechatronics and control engineering during his tenure as a Postdoctoral Research Fellow at Shenzhen University. His research is recognized for its innovative approach, particularly in the application of control systems in energy-efficient technologies. A prolific researcher and published author, Dr. Khan has been actively involved in securing research funding and publishing in top-tier journals. His passion for both teaching and research allows him to foster a dynamic learning environment for students while contributing to the advancement of technology in engineering and energy sectors.

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🌟 Summary of Suitability for the Research for Best Researcher Award

Awais Khan’s impressive academic background and research trajectory make him highly suitable for the Research for Best Researcher Award. He currently serves as an Assistant Professor at the Beijing Institute of Technology, where he leads cutting-edge research in advanced control systems, renewable energy technologies, and interval observers. His teaching excellence, combined with his groundbreaking research contributions, aligns well with the award’s criteria, which honors those making significant academic and technological advancements.

Awais Khan’s postdoctoral experience at Shenzhen University further solidifies his research prowess, particularly in mechatronics and control engineering. His work has been recognized in reputable journals, with a consistent record of impactful publications in high-impact platforms such as IEEE Transactions and the Journal of the Franklin Institute. He has demonstrated leadership in securing research funding and fostering interdisciplinary collaboration.

🎓   Education 

Dr. Awais Khan holds a PhD in Control Theory and Control Engineering from the South China University of Technology (2016–2020), where his research focused on interval observers and their applications to control theory. Prior to that, he earned a Master’s degree in Electrical Engineering from the University of Engineering and Technology (UET) Lahore (2014–2016). Dr. Khan’s academic journey began with a Bachelor of Science in Electronics Engineering from UET Peshawar (2009–2013), which laid the foundation for his expertise in engineering and control systems. Throughout his academic career, he has received several scholarships, including the prestigious Chinese Government Scholarship for his PhD studies. His educational background is complemented by his active participation in various research projects, workshops, and technical conferences, enabling him to stay at the forefront of advancements in control systems, renewable energy technologies, and energy-efficient engineering solutions.

💼   Professional Experience 

Since 2022, Dr. Awais Khan has been an Assistant Professor at the Beijing Institute of Technology, Zhuhai Campus, where he teaches a range of courses, including C/C++, Probability & Statistical Analysis, Circuits & Electronics, and Physics. His role involves both delivering high-quality lectures and conducting groundbreaking research in advanced control systems, renewable energy, and interval observers. Prior to this, Dr. Khan was a Postdoctoral Research Fellow at Shenzhen University (2020–2022), where he worked on mechatronics and control engineering, developing innovative technologies in interdisciplinary research collaborations. His work on interval observers for nonlinear systems garnered attention, leading to publications in reputable journals. Dr. Khan has also contributed to National Natural Science Foundation of China projects, enhancing the understanding of control systems in uncertain environments. His teaching and research experience are central to his contributions to the field, shaping future engineers and advancing the integration of energy-efficient technologies.

🏅 Awards and Recognition 

Dr. Awais Khan has been recognized for his outstanding contributions to control systems and engineering through several prestigious awards and honors. Notably, he received the Best Presentation Award at the EECR in 2018, reflecting his excellence in research communication. His doctoral research, supported by the Chinese Government Scholarship, marked a milestone in the development of interval observers for linear and nonlinear systems. In addition, Dr. Khan serves as an editor for Technological Innovations & Energy and has been an active member of professional organizations, such as the IEEE and the International Association of Engineers, since 2024. His scholarly work has been widely recognized, with numerous publications in leading journals and conferences. He continues to secure research grants, supporting the advancement of innovative technologies in control systems and energy efficiency. Dr. Khan’s contributions to both academia and the engineering community have made him a respected figure in the field.

🌍  Research Skills On Engineering

Dr. Awais Khan possesses a deep proficiency in advanced control systems, renewable energy technologies, and interval observers. His research expertise spans control theory, nonlinear systems, and energy-efficient technologies, focusing on their applications in both academia and industry. With a strong background in mechatronics and control engineering, he has developed innovative solutions for system stability and energy optimization. Dr. Khan is skilled in designing interval observers for dynamic systems, particularly in uncertain environments, and has published extensively on the subject. His work also explores adaptive control strategies for robotics and power systems, leveraging cutting-edge technologies such as SiC and GaN. Dr. Khan is proficient in several programming languages, including Matlab, Simulink, Python, and C/C++, enabling him to implement complex models and simulations for his research. His skills in interdisciplinary collaboration and securing funding for research projects further highlight his versatility and commitment to advancing technological solutions in engineering.

 📖 Publication Top Notes

  • A survey of interval observers design methods and implementation for uncertain systems
    A Khan, W Xie, Z Bo, LW Liu
    Journal of the Franklin Institute, 358(6), 3077-3126, 2021
    Citation: 52
  • Design and Applications of Interval Observers for Uncertain Dynamical Systems
    A Khan, W Xie, Z Langwen, LW Liu
    IET Circuits, Devices & Systems, 14(6), 721-740, 2020
    Citation: 48
  • Path Planning for Wheeled Mobile Robot in Partially Known Uneven Terrain
    B Zhang, G Li, Q Zheng, X Bai, Y Ding, A Khan
    Sensors, 22(14), 5217, 2022
    Citation: 41
  • Finite‐time nonsingular terminal sliding mode control of converter‐driven DC motor system subject to unmatched disturbances
    A Rauf, M Zafran, A Khan, AR Tariq
    International Transactions on Electrical Energy Systems, 31(11), e13070, 2021
    Citation: 26
  • Interval state estimation for linear time-varying (LTV) discrete-time systems subject to component faults and uncertainties
    A Khan, W Xie, L Zhang, Ihsanullah
    Archives of Control Sciences, 29(2), 289-305, 2019
    Citation: 22
  • Set-Membership Interval State Estimator Design Using Observability Matrix for Discrete-Time Switched Linear Systems
    A Khan, LW Liu, W Xie
    IEEE Sensors Journal, 20(11), 6121-6129, 2020
    Citation: 20
  • Interval State Estimator Design for Linear Parameter Varying (LPV) Systems
    A Khan, X Bai, Z Bo, P Yan
    IEEE Transactions on Circuits and Systems II: Express Briefs, 68(8), 2865-2869, 2021
    Citation: 19
  • Finite‐time functional interval observer for linear systems with uncertainties
    L Liu, W Xie, A Khan, L Zhang
    IET Control Theory & Applications, 14(18), 2868-2878, 2020
    Citation: 14
  • Fault detection and diagnosis for a class of linear time-varying (LTV) discrete-time uncertain systems using interval observers
    Z Yi, W Xie, A Khan, B Xu
    2020 39th Chinese Control Conference (CCC), 4124-4128, 2020
    Citation: 14
  • Interval State Estimator Design Using the Observability Matrix for Multiple Input Multiple Output Linear Time-Varying Discrete-Time Systems
    A Khan, W Xie
    IEEE Access, 7, 167566-167576, 2019
    Citation: 13

H M IMRAN KAYS | Engineering | Best Researcher Award

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Mr. H M IMRAN KAYS | Engineering | Best Researcher Award

Mr. H M IMRAN KAYS, University of Oklahoma, United States

H.M. Imran Kays is a PhD candidate at the University of Oklahoma’s School of Civil Engineering and Environmental Science. He specializes in transportation engineering, particularly in flood propagation and cascading failures in interdependent transportation and stormwater networks. Imran’s research integrates socio-technical systems and crisis response communities, contributing to transportation resilience. His career includes work as a graduate research assistant at renowned institutions, with a solid background in transportation system modeling. Imran also serves as a major in the Corps of Engineers, Bangladesh Army, bringing a unique blend of academic rigor and practical experience. Throughout his career, he has earned numerous awards, including the 2024 Best Poster Award at the Oklahoma Transportation Symposium and various scholarships and fellowships. His innovative work is highly regarded in his field, influencing both academic research and real-world infrastructure solutions.

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Suitability for the “Research for Best Researcher Award” – H.M. Imran Kays

H.M. Imran Kays, a PhD candidate in Civil Engineering at the University of Oklahoma, stands out as an exceptional candidate for the “Research for Best Researcher Award” due to his impactful research in transportation engineering, particularly focusing on interdependencies between transportation and stormwater networks, resilience frameworks, and the modeling of cascading failures in critical infrastructure systems. His multidisciplinary approach, blending engineering with risk and resilience studies, has led to several high-quality publications, including journal articles and conference proceedings, which reflect his deep understanding of both theoretical and practical aspects of civil engineering and transportation.

Kays’ ongoing work, including his involvement in projects like “Modeling Flood Propagation and Cascading Failures in Interdependent Transportation and Stormwater Networks,” showcases his ability to address pressing global challenges like climate change and infrastructure resilience. His research bridges critical gaps in understanding the vulnerabilities of interconnected systems under stress, making it highly relevant to contemporary issues. Additionally, his impressive list of awards—such as the Best Poster Award at the 2024 Oklahoma Transportation Symposium and several prestigious scholarships—demonstrates recognition of his contributions from the academic community.

🎓 Education 

Imran Kays is currently pursuing his PhD in Civil Engineering at the University of Oklahoma, specializing in transportation engineering. He earned his MSc and BSc in Civil Engineering from the Military Institute of Science and Technology (MIST), Bangladesh, where he focused on transportation systems and their resilience. His academic journey includes distinguished research in socio-geographic monitoring, transportation policies, and infrastructure utilization metrics. Imran’s advanced education has been supported by several prestigious scholarships, including the 2024 Donald E Hall Scholarship and the Walt Kolb Civil Engineering Graduate Fellowship. His strong academic foundation underpins his research focus on transportation system modeling, including flood propagation and cascading failures in interdependent systems. The expertise gained during his PhD research is coupled with hands-on experience in major engineering projects, ensuring his work bridges theoretical knowledge with practical solutions in civil engineering.

💼 Professional Experience 

Imran Kays has substantial professional experience, including roles as a Graduate Research Assistant and PhD student at the University of Oklahoma’s School of Civil Engineering and Environmental Science, the Department of Civil and Environmental Engineering at Florida International University, and Georgia Southern University. His research primarily focuses on transportation engineering, with key studies on the interdependencies between transportation and stormwater networks. As a graduate research assistant, Imran has contributed to numerous high-impact projects, applying his expertise in flood modeling, traffic management, and crisis response frameworks. In addition to his academic work, Imran serves as a Major in the Corps of Engineers, Bangladesh Army, where he applies his engineering knowledge to real-world infrastructure and crisis management challenges. His professional experience spans a broad spectrum, from hands-on traffic analysis to sophisticated modeling and resilience planning, which has shaped his approach to solving complex engineering problems.

🏅 Awards and Recognition

Imran Kays has received multiple awards and recognitions throughout his academic career. He was honored with the Best Poster Award at the 2024 Oklahoma Transportation Symposium and has been awarded the 2024 Donald E Hall Scholarship and the 2024 Cleo Cross Scholarship. His academic excellence is further acknowledged by the 2024 Walt Kolb Civil Engineering Graduate Fellowship and the 2024 Bullard Dissertation Completion Fellowship. These accolades underscore his outstanding contributions to transportation research. Imran’s dedication to his field has also earned him the 2024 Robberson Travel Grant and the 2023 Gallogly College of Engineering Scholarship, among others. In addition to academic scholarships, Imran has been recognized for his work on the intersection of transportation and stormwater systems, with multiple publications and presentations at prestigious conferences. His achievements reflect his leadership in the field and his commitment to advancing transportation engineering.

🌍 Research Skills On Engineering

Imran Kays is a skilled researcher with a focus on transportation system modeling, resilience frameworks, and socio-technical systems in infrastructure. His expertise lies in analyzing and modeling the interdependencies between transportation and stormwater networks, exploring cascading failures during natural disasters. Imran has developed advanced resilience frameworks for transportation systems, incorporating data-driven approaches to assess infrastructure vulnerability and develop adaptive strategies. His work on integrating socio-geographic monitoring with transportation policies has received significant attention for its potential to shape future urban transportation planning. Additionally, Imran’s research includes flood modeling, crisis response communities, and risk perception analysis in online social networks. He employs a combination of AI, machine learning, and GIS to predict long-term traffic patterns and assess infrastructure resilience under varying conditions. Imran’s research contributes to the practical application of civil engineering in managing disasters and enhancing the resilience of transportation networks.

 📖 Publication Top Notes

  • H-CTM for simulating non-lane-based heterogeneous traffic
    Authors: HMI Kays, TH Shimu, M Hadiuzzaman, SM Muniruzzaman, …
    Citation: Transportation Letters, 11 (7), 382-390
    Year: 2019
  • Identifying crisis response communities in online social networks for compound disasters: the case of hurricane Laura and COVID-19
    Authors: KA Momin, HMI Kays, AM Sadri
    Citation: Transportation Research Record, 03611981231168120
    Year: 2023
  • Centrality-based lane interventions in road networks for improved level of service: the case of downtown Boise, Idaho
    Authors: MA Ahmed, HMI Kays, AM Sadri
    Citation: Applied Network Science, 8 (1), 2
    Year: 2023
  • Exploring the interdependencies between transportation and stormwater networks: The case of Norman, Oklahoma
    Authors: HMI Kays, AM Sadri, KKM Muraleetharan, PS Harvey, GA Miller
    Citation: Transportation Research Record, 2678 (5), 491-513
    Year: 2024
  • Towards Unifying Resilience and Sustainability for Transportation Infrastructure Systems: Conceptual Framework, Critical Indicators, and Research Needs
    Authors: HM Kays, AM Sadri
    Citation: arXiv preprint arXiv:2208.10039
    Year: 2022
  • Translating Social Media Crisis Narratives into Road Network Utilization Metrics: The Case of 2020 Oklahoma Ice Storm
    Authors: HM Kays, KA Momin, MB Thwala, KK Muraleetharan, AM Sadri
    Citation: arXiv preprint arXiv:2212.08616
    Year: 2022
  • Modeling Flood Propagation and Cascading Failures in Interdependent Transportation and Stormwater Networks
    Authors: HMI Kays, AM Sadri, PS Harvey, GA Miller
    Citation: International Journal of Critical Infrastructure Protection, 100741
    Year: 2025
  • Translating Risk Narratives in Socio-Technical Systems into Infrastructure Utilization Metrics During Compounding Hazard Events
    Authors: HMI Kays, KA Momin, KK Muraleetharan, AM Sadri
    Citation: Arif, Translating Risk Narratives in Socio-Technical Systems into …
    Year: 2024
  • A Data-driven Resilience Framework of Directionality Configuration based on Topological Credentials in Road Networks
    Authors: HM Kays, KA Momin, KK Muraleetharan, AM Sadri
    Citation: arXiv preprint arXiv:2401.07371
    Year: 2024
  • A Structural Equation Modeling Approach to Understand User’s Perceptions of Acceptance of Ride-Sharing Services in Dhaka City
    Authors: MMI Sourav, MR Islam, HM Kays, M Hadiuzzaman
    Citation: arXiv preprint arXiv:2210.04086
    Year: 2022

Siyuan Song | Engineering | Best Researcher Award

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

👤 Assoc. Prof. Dr. Siyuan Song, Arizona State University, United States

Dr. Siyuan Song is an Associate Professor at Arizona State University’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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🌟  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. Song’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.

🎓 Education

Dr. Song completed his Ph.D. in Civil Engineering from the University of Alabama in 2017, where his dissertation focused on “Construction Equipment Travel Path Visualization and Productivity Evaluation.” He also holds a Master of Science in Civil Engineering, with a thesis on “Location-Based Tracking of Construction Equipment for Automated Cycle-Time Analysis.” 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.

💼  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.

🏅 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. Song’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.

🌍 Research Skills On Engineering

Dr. Song’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.

📖 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 Decision‐Making Model for Time‐Cost‐Risk Trade‐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

 

 

Asad Ali | Engineering | Best Researcher Award

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Dr. Asad Ali | Engineering | Best Researcher Award

Dr. Asad Ali, Jiangsu University, China

Asad Ali is a dynamic and passionate Mechanical Engineer with a strong focus on fluid machinery, turbomachinery, and two-phase flow in pumps. Holding a Ph.D. from Jiangsu University, his research spans across various areas of power engineering, thermo-physics, and fluid dynamics. Ali is known for his hands-on approach to problem-solving and his ability to thrive both independently and as part of a collaborative team. With an impressive academic record and a love for challenges, Ali continuously seeks to apply innovative solutions in engineering. He is also actively involved in academic events and has been recognized for his contributions to research and innovation.

Professional Profile

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Suitability of Summary

Asad Ali is highly suitable for the “Research for Best Researcher Award” due to his extensive academic background, valuable contributions to mechanical engineering, and significant research in fluid machinery and two-phase flow dynamics. Holding a Ph.D. in Mechanical Engineering from Jiangsu University, Asad has demonstrated exceptional expertise in fluid mechanics, multiphase flow modeling, and pump performance analysis, specifically in the areas of gas-liquid two-phase flow in electrical submersible pumps and centrifugal pumps.

His research, particularly his work on unsteady gas-liquid two-phase flow, has not only advanced knowledge in his field but also provided practical insights into reducing noise and improving the efficiency of pumps in various industrial applications. Asad’s thesis on “Performance Evaluation and Unsteady Inner-Flow Characteristics of Mixed-Flow Type Electrical Submersible Pumps” is a notable example of his ability to merge experimental and computational methods to address real-world engineering challenges.

Education

Asad Ali earned his Ph.D. in Mechanical Engineering from Jiangsu University in 2023, with a specialization in Power Engineering and Engineering Thermo-physics. His thesis focused on “Numerical and Experimental Study on Performance Evaluation and Unsteady Inner-Flow Characteristics of Mixed-Flow Type Electrical Submersible Pumps under Gas-Liquid Two-Phase Flow.” Prior to his doctoral work, he completed an M.Sc. in the same field at Jiangsu University with a distinction (89.9%). His undergraduate studies were completed at the University of Agriculture, Faisalabad, where he obtained a B.Sc. in Agricultural Engineering, graduating with an A+ grade and a CGPA of 3.61. Ali’s academic journey is marked by excellence in both theoretical and applied engineering concepts, preparing him to tackle complex engineering challenges with advanced methodologies.

Professional Experience 

Asad Ali has honed his skills through various internships and research roles. He worked as a Ph.D. researcher at Jiangsu University, focusing on experimental and computational analysis of two-phase flow in electrical submersible pumps (ESP). His work involved simulating, experimenting, and visualizing the gas-liquid flow to evaluate pump performance. He also interned at the Water Management Training Institute (WMTI), Lahore, where he gained hands-on experience in water management systems and pump technology. Ali contributed significantly to organizing conferences such as the “14th Asian International Conference on Fluid Machinery” at Jiangsu University, showcasing his leadership and organizational skills. His technical expertise spans fluid mechanics, multiphase flow modeling, and pump acoustics, positioning him as a versatile engineer capable of addressing critical engineering problems.

Awards and Recognition 

Asad Ali’s contributions togi have earned him numerous accolades. He was awarded the prestigious “Best Sino-Foreign Joint Innovation Award” by Jiangsu University in 2020 for his outstanding research. Ali was also recognized with the “Best Volunteer Award” for his exceptional organizational skills during the “14th International Conference on Fluid Machinery.” In recognition of his academic excellence, Ali has been a recipient of multiple scholarships, including the Chinese Government’s “CSC Scholarship” for both his M.Sc. and Ph.D. studies. His achievements in academia were further honored with the “PEEF Merit Scholarship” from the Punjab Government of Pakistan during his undergraduate years. Ali’s work has not only been recognized locally but also internationally, as his publications in renowned journals such as Heliyon and Physics of Fluids have added significant value to the field of mechanical and fluid engineering.

Research Skills 

Asad Ali possesses strong research skills, with a deep understanding of fluid dynamics, particularly in the areas of multiphase flow and turbomachinery. His expertise includes numerical simulations, experimental testing, and the application of computational fluid dynamics (CFD) techniques to analyze and optimize the performance of mechanical systems like electrical submersible pumps (ESPs). He is proficient in using industry-standard software tools such as ANSYS, AutoCAD, and Pro-E for modeling and analysis. Ali is well-versed in noise reduction techniques, cavitation analysis, and the study of gas-liquid two-phase flow in pumps. His research also includes experimental validation of theoretical models, and he has published several high-impact papers on topics like energy performance and noise characteristics in centrifugal pumps. Ali’s research is centered on creating innovative solutions to improve efficiency and reduce noise and vibration in fluid machinery.

Publication Top Notes

1. The influence of water vapor on the internal flow characteristics within a hydrogen circulation pump
  • Authors: Ma, Q., Xia, Q., Wang, Q., Gao, G., Fall, I.
  • Publication Year: 2024
  • Citations: 1
2. CFD study of self-cleaning system of multi-stage tangential roller threshing unit for precise buckwheat breeding
  • Authors: Hussain, S., Jianjun, H., Yong, C., Ghafoor, A., Ahmed, M.
  • Publication Year: 2024
  • Citations: 1
3. Comprehensive analysis and identification of energy performance and unsteady two-phase flow patterns based on experiments and comparison between two distinct multiphase flow models
  • Authors: Ali, A., Yuan, J., Si, Q., Yolandani, Y., Fall, I.
  • Publication Year: 2024
  • Citations: 0
4. Small hydropower generation using pump as turbine; a smart solution for the development of Pakistan’s energy
  • Authors: Ali, A., Yuan, J., Javed, H., Osman, F.K., Islam, R.U.
  • Publication Year: 2023
  • Citations: 11
5. Prediction of hydrodynamic noise in ducted propeller using flow field-acoustic field coupled simulation technique based on novel vortex sound theory
  • Authors: Si, Q., Ali, A., Tian, D., Cheng, X., Yuan, J.
  • Publication Year: 2023
  • Citations: 7
6. Study on flow-induced noise propagation mechanism of cylinder-airfoil interference model by using large eddy simulation combined with vortex-acoustic equation
  • Authors: Qiaorui, S., Liu, J., Ali, A., Hong, X., Iqbal, S.
  • Publication Year: 2023
  • Citations: 3
7. Numerical and Experimental Investigation on Unsteady Flow and Hydraulic Radial Force of Low-Head Axial Flow Turbine
  • Authors: Sunsheng, Y., Ohiemi, I.E., Singh, P., Ali, A., Osman, F.
  • Publication Year: 2023
  • Citations: 2
8. Assessment of cavitation noise in a centrifugal pump using acoustic finite element method and spherical cavity radiation theory
  • Authors: Si, Q., Ali, A., Liao, M., Yuan, S., Bois, G.
  • Publication Year: 2023
  • Citations: 16
9. Intelligent Identification of Cavitation State of Centrifugal Pump Based on Support Vector Machine
  • Authors: He, X., Song, Y., Wu, K., Shen, C., Si, Q.
  • Publication Year: 2022
  • Citations: 1
10. Investigation of energy performance, internal flow and noise characteristics of miniature drainage pump under water–air multiphase flow: design and part load conditions
  • Authors: Ali, A., Si, Q., Yuan, J., Awais, M., Aslam, B.
  • Publication Year: 2022
  • Citations: 11

Tran Thi Bich Chau Vo | Industrial and Systems | Academic Excellence Award

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Tran Thi Bich Chau Vo | Industrial and Systems | Academic Excellence Award

PhD Candidate at National Kaohsiung University of Science and Technology, Taiwan🎓

Tran Thi Bich Chau VO is an accomplished academic and professional with a strong background in industrial management and engineering. With extensive experience in both academia and the textile and garment industry, she has demonstrated a commitment to advancing knowledge and practical applications in her field. Currently, she is pursuing a Ph.D. in Industrial Engineering and Management, focusing on optimizing workflow processes and efficiency. Her dedication to education, research, and industry innovation positions her as a leading figure in her domain.

Professional Profile 

🎓Education

Tran Thi Bich Chau VO is pursuing a Ph.D. in Industrial Engineering and Management at the National Kaohsiung University of Science and Technology, Taiwan, with a research focus on improving processing efficiency through workflow process reengineering, simulation, and value stream mapping. She previously earned a Master of Engineering in Industrial and Systems Engineering from Ho Chi Minh City University of Technology, where her thesis explored the effects of lean manufacturing in the garment industry. She also holds a Bachelor of Engineering in Garment Technology and Fashion from Ho Chi Minh City University of Technology and Education, with a thesis focused on improving production patterns in the garment sector.

💼Work Experience

Tran Thi Bich Chau VO has been a lecturer at the Faculty of Industrial Management at Can Tho University since 2014, where she imparts her knowledge to the next generation of engineers and managers. Prior to her academic career, she held significant roles in the textile and garment industry, including Head of the Research & Development Department at Thanhcong Textile Garment Investment Trading Joint Stock Company and as a Work Study staff member at Garment Fashion Limited. These roles allowed her to gain valuable industry insights, which she now integrates into her teaching and research.

🔍Research Focus 

Tran Thi Bich Chau VO’s research primarily focuses on enhancing industrial processes through innovative approaches such as workflow process reengineering, simulation, and value stream mapping. Her ongoing Ph.D. research aims to improve processing efficiency, particularly in industrial settings, reflecting her commitment to both theoretical advancement and practical application in the field of Industrial Engineering and Management. Her previous research on lean manufacturing in the garment industry also underscores her interest in optimizing production processes and increasing efficiency.

🏆Awards and Honors

While specific awards and honors are not mentioned in her profile, Tran Thi Bich Chau VO’s continuous advancement in her academic and professional journey, including her pursuit of a Ph.D. and her leadership roles in the industry, suggest a career marked by dedication and recognition within her field.

Conclusion

Tran Thi Bich Chau VO is a promising candidate for the Academic Excellence Award, given her strong academic background, relevant industry experience, and current engagement in impactful research. While her publication record and international collaborations could be areas for development, her dedication to improving process efficiency and her contributions to education make her a strong contender for this award.

📖Publications : 

    1. A comprehensive review of aeration and wastewater treatment 🌊♻️
      • Year: 2024
      • Journal: Aquaculture
      • Author: Vo, T.T.B.C.
    2. Recent Trends of Bioanalytical Sensors with Smart Health Monitoring Systems: From Materials to Applications 🧬📱
      • Year: 2024
      • Journal: Advanced Healthcare Materials
      • Author: Vo, T.T.B.C.
    3. Advances in aeration and wastewater treatment in shrimp farming: emerging trends, current challenges, and future perspectives 🦐🌍
      • Year: 2024
      • Journal: Aqua Water Infrastructure, Ecosystems and Society
      • Author: Vo, T.T.B.C.
    4. Improving processing efficiency through workflow process reengineering, simulation and value stream mapping: a case study of business process reengineering 🔄🏭
      • Year: 2024
      • Journal: Business Process Management Journal
      • Author: Vo, T.T.B.C.
    5. Improvement of Manufacturing Process Based on Value Stream Mapping: A Case Study 🛠️📈
      • Year: 2024
      • Journal: EMJ – Engineering Management Journal
      • Author: Vo, T.T.B.C.
    6. Optimal microgrid design and operation for sustainable shrimp farming ⚡🦐
      • Year: 2023
      • Journal: AIP Conference Proceedings
      • Author: Chau, V.T.T.B.
    7. Risk priority and risk mitigation approach based on house of risk: A case study with aquaculture supply chain in Vietnam 🚨🇻🇳
      • Year: 2023
      • Journal: AIP Conference Proceedings
      • Author: Chau, V.T.T.B.
    8. Optimizing New Product Development through a Systematic Integration of Design for Six Sigma (DFSS) and Theory of Inventive Problem Solving (TRIZ) 🆕🔍
      • Year: 2023
      • Journal: Operations and Supply Chain Management
      • Author: Vo, T.T.B.C.
    9. Improvıng Inventory Tıme in Productıon Lıne through Value Stream Mappıng: A Case Study ⏳🔧
      • Year: 2023
      • Journal: Journal of Engineering Science and Technology Review
      • Author: Vo, T.T.B.C.
    10. Organic dye removal and recycling performances of graphene oxide-coated biopolymer sponge 🧽🔄
      • Year: 2022
      • Journal: Progress in Natural Science: Materials International
      • Author: Vo, T.T.B.C

Byounghyun Jeon | Engineering | Best Researcher Award

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Byounghyun Jeon | Engineering | Best Researcher Award

Master student at Sungkyunkwan University, South Korea 🎓

Byounghyun Jeon is a prominent researcher in the field of materials science, specializing in laser processing of 2D materials and surface enhancement Raman scattering. With a solid educational background, significant work experience, and notable awards, he has demonstrated expertise and leadership in his research. His commitment to interdisciplinary collaboration and innovation makes him a leading figure in advancing material science technologies

Professional Profile 

🎓Education🧑‍🎓

Byounghyun Jeon holds a Master of Engineering in Mechanical Engineering from Sungkyunkwan University, South Korea, where he is currently studying under the guidance of Associate Professor Kyunghoon Kim. He completed his Bachelor of Engineering in Mechanical and Automotive Engineering at Inje University, South Korea. His academic background provides a strong foundation in mechanical engineering, with a focus on advanced material processing and innovative technologies.

💼Work Experience

Byounghyun Jeon is an Associate Professor in the Complex Materials Engineering & Systems (COME) Lab at Sungkyunkwan University, where he leads research in 2D material laser processing. Previously, he completed internships at the Korea Institute of Science and Technology (KIST) and Inje University, gaining hands-on experience in soft convergence materials and automotive noise control. His work experience demonstrates a comprehensive understanding of material science and effective project management.

🔍Research Focus 

Jeon’s research centers on laser processing of 2D materials, surface-enhanced Raman scattering, and the development of innovative material composites. His work involves resolving complex material processing challenges and integrating interdisciplinary approaches to achieve groundbreaking results. His focus on cutting-edge technologies and their practical applications underscores his dedication to advancing the field of materials science.

🏆Awards and Honors

Jeon has received notable recognition for his research, including the Outstanding Poster Award from The Korean Society of Mechanical Engineers (KSME) in 2022. His contributions to the field are further underscored by his involvement in high-impact conferences and his upcoming publications, reflecting his commitment to advancing knowledge in material science and laser processing technologies.

Conclusion

Byounghyun Jeon is a highly suitable candidate for the Best Researcher Award due to his exceptional expertise in laser processing, interdisciplinary collaboration, and substantial contributions to the field of materials science. His innovative approach and leadership in research make him a standout candidate for this prestigious recognition.

📖Publications : 

  1. Flexible Composites Designed for Physic Sensors, and Their Electromechanical and Adhesive Performances
    • Authors: TS Vo, TS Nguyen, TTBC Vo, B Jeon, S Han, K Kim
    • Journal: Journal of Materials Science and Technology
    • Year: 2024
    • Status: In Submission
  2. Characteristics and Preliminary Healing Ability of Polydimethylsiloxane Elastomers
    • Authors: TS Vo, TS Nguyen, B Jeon, TTBC Vo, S Han, SH Lee, K Kim
    • Journal: Journal of Materials Research and Technology
    • Year: 2024
    • Status: Under Review R1
  3. A Comprehensive Review of Chitosan-Based Functional Materials: From History to Specific Applications
    • Authors: TS Vo, PP Chit, VH Nguyen, T Hoang, KM Lwin, TTBC Vo, B Jeon, S Han, J Lee, Y Park, K Kim
    • Journal: International Journal of Biological Macromolecules
    • Year: 2024
    • Status: Under Review R1
  4. A Comprehensive Review of Laser Processing-Assisted 2D Functional Materials, and Their Specific Applications
    • Authors: TS Vo*, B Jeon*, VPT Nguyen, T Hoang, KM Lwin, TTBC Vo, S Han, K Kim
    • Journal: Materials Today Physics
    • Year: 2024
    • DOI: 10.1016/j.mtphys.2024.101536
  5. Recent Trends of Bioanalytical Sensors with Smart Health Monitoring Systems: From Materials to Applications
    • Authors: TS Vo, T Hoang, TTBC Vo, B Jeon, K Kim
    • Journal: Advanced Healthcare Materials
    • Year: 2024
    • DOI: 10.1002/adhm.202303923