Tag: Engineering Leadership Award

Suitability Summary for Research for Best Researcher Award

Farzin Sadati is a highly qualified candidate for the Research for Best Researcher Award, demonstrating a strong blend of academic excellence, professional experience, and impactful research contributions. His educational background is robust, with a Master’s in Environmental Systems Engineering from the University of Regina, supported by a full NSERC scholarship, underscoring his academic merit and research potential. Additionally, his prior Master’s in Structural Engineering and Bachelor’s in Civil Engineering provide a comprehensive foundation in both theory and practice.

Professionally, Farzin brings over 10 years of leadership in large-scale construction projects exceeding $100 million, showcasing his capability to manage complex, multidisciplinary efforts successfully. His hands-on experience in project management, site supervision, regulatory compliance, and sustainability reflects a practical understanding of real-world engineering challenges. His PMP certification and expertise with construction management software such as Procore and Primavera P6 further highlight his competence in bridging management and technical domains.

Education

Farzin Sadati’s academic journey reflects a commitment to excellence and sustainability. He is currently pursuing a MASc in Environmental Systems Engineering at the University of Regina, Canada, with a CGPA of 83.80. His research, supported by a prestigious Natural Sciences and Engineering Research Council of Canada (NSERC) scholarship, explores sustainable construction practices and modular waste management. Prior to this, he earned a MASs in Structural Engineering (CGPA: 95.45) and a BASc in Civil Engineering (CGPA: 88.65) from Azad University, Iran. Throughout his studies, Farzin demonstrated academic prowess, earning multiple nominations and awards, including a top-three ranking among graduate peers. His academic background combines technical rigor in structural systems with contemporary approaches to environmental engineering. This foundation equips him to tackle challenges at the intersection of infrastructure and sustainability, laying the groundwork for his contributions to research, practice, and policy. His education underpins his holistic perspective on engineering and environmental responsibility.

Professional Experience

Farzin Sadati brings over 10 years of progressive experience across various sectors including residential, commercial, and infrastructure projects. Currently serving as Construction Project Manager at ISAD Construction, he has led complex developments like a 144-unit concrete structure valued at $34M, and successfully managed stakeholder coordination and risk mitigation strategies. His tenure at the University of Regina as a Researcher further honed his expertise in construction waste analytics and compliance with NBC. Previously, at Imen Sazan Faradezh Inc., he contributed to structural design and feasibility assessments, increasing project efficiency. Farzin began his career as a Superintendent with Saman Gostar Jame Inc., managing large-scale HVAC and residential projects. He has a proven record in applying data analytics, BIM, and sustainable methods across all project phases. His leadership style, problem-solving approach, and proficiency with tools like Procore, Primavera P6, and Microsoft Project enable him to consistently deliver high-quality outcomes on time and under budget.

Awards and Recognition

Farzin Sadati has been recognized for both his academic excellence and impactful professional contributions. In 2024, he received the RCE Saskatchewan Award, presented by Lieutenant Governor Russell Mirasty, for a sustainable construction and demolition project that aligns with the UN Sustainable Development Goals (SDGs). This project leveraged BIM technologies to promote green practices in the construction sector. In 2023, Farzin’s research was awarded full funding by the Natural Sciences and Engineering Research Council of Canada (NSERC), highlighting its relevance and innovation. Earlier, in 2018, he was honored as one of the top three graduate students at Azad University with a remarkable CGPA of 95. His certifications include PMP, WHMIS, and specialized training in AI for energy management, carbon emission analysis, and life cycle assessment. These recognitions underscore his leadership in driving sustainability and performance excellence in engineering projects, positioning him as a forward-thinking leader in the construction industry.

Research Skills On Engineering

Farzin Sadati’s research skills span environmental systems engineering, construction waste analytics, and sustainable design. At the University of Regina, his work integrated statistical data from agencies like Statistics Canada with practical construction metrics to assess compliance with the National Building Code and identify opportunities for waste reduction. He effectively utilizes tools like Power BI, Excel, and BIM to visualize performance indicators and propose cost-effective solutions. Farzin’s expertise extends to life cycle analysis, carbon emissions monitoring, and the deployment of AI in green building energy management. His research not only advances academic knowledge but also informs best practices on job sites, particularly in modular and digital construction. With a pragmatic and data-driven approach, he bridges academic insights and field application, delivering strategies that enhance LEED compliance, sustainability, and energy performance. His collaborative projects and published papers reflect his commitment to innovation and environmental stewardship in engineering.

Publication Top Notes

1. Title: Temporal evolution and thematic shifts in sustainable construction and demolition waste management through building information modeling technologies: A text-mining analysis

Authors: F. Naghibalsadati, A. Gitifar, S. Ray, A. Richter, K.T.W. Ng
Journal: Journal of Environmental Management
Volume: 369, Article ID: 122293
Citations: 7
Year: 2024

2. Title: Management Assessment of Used Oil, Filters, and Containers in the Canadian Automotive Sector Using Resource Recovery Metrics

Authors: A. Tasnim, A.T. Abha, F. Naghibalsadati, E. Tam, K.T.W. Ng
Journal: Waste Management
Volume: 191, Pages: 284–293
Citations: 2
Year: 2025

3. Title: Quantification of construction and demolition waste disposal behaviors during COVID-19 using satellite imagery

Authors: S. Ray, K.T.W. Ng, T.S. Mahmud, A. Richter, F. Naghibalsadati
Journal: Environmental and Sustainability Indicators
Volume: 24, Article ID: 100502
Citations: 2
Year: 2024

4. Title: Uncovering key themes in modular construction waste management and exploring their impact and centrality

Authors: F. Naghibalsadati, A. Gitifar, A. Richter, A. Tasnim, K.T.W. Ng
Journal: Results in Engineering
Volume: 25, Article ID: 104550
Citations: 1
Year: 2025

5. Title: Landfill footprint geometrical design evolution and land surface thermal heterogeneity

Authors: A. Gitifar, N. Karimi, S.J. Mim, F. Naghibalsadati, K.T.W. Ng
Journal: Journal of Cleaner Production
Article ID: 145763
Year: 2025

6. Title: The Role of Modular Construction and BIM Technologies in Sustainable Construction and Demolition Waste Management

Author: F. Naghibalsadati
Institution: University of Regina
Type: Thesis/Dissertation
Year: 2024

7. Title: Experimental and Numerical Evaluation on Yielding Damper to Upgrade the Seismic Behavior of Concentrically Braced Frames

Authors: F. Naghibalsadati, S.M. Zahrai, M. Jamshidi
Conference: International Congress of Sciences and Innovative Technologies (ICESIT)
Volume: 270, Page: 133
Year: 2018

8. Title: Experimental and Numerical Investigation of Angle Performance as a Structural Fuse

Authors: F. Naghibalsadati, S.M. Zahrai, M. Jamshidi
Conference: International Congress of Sciences and Innovative Technologies (ICESIT)
Volume: 270, Page: 118
Year: 2018

9.Title: Experimental Study on Cyclic Performance of Diagonal Brace with Slit and Angle to Improve Ductility

Author: F. Naghibalsadati
Institution: Islamic Azad University
Type: Thesis/Dissertation
Year: 2018

Md. Kamrul Islam | Engineering | Best Researcher Award

Posted on 28/05/202528/05/2025 by sciencefather

Assoc. Prof. Dr. Md. Kamrul Islam | Engineering | Best Researcher Award

Assoc. Prof. Dr. Md. Kamrul Islam, King Faisal University, Saudi Arabia

Dr. Md. Kamrul Islam, an Australian national, currently serves as an Associate Professor at King Faisal University, KSA. With over two decades of experience in civil and transportation engineering, he holds a PhD from the University of New South Wales, Australia, and advanced degrees from the University of Tokyo and DUET, Bangladesh. Dr. Islam’s research focuses on stochastic modeling, asphalt performance, and public transport systems. He has successfully led more than 50 research projects funded by Deanship of Scientific Research and collaborated with premier institutions like University of Illinois and Texas A&M. His excellence has been recognized with prestigious awards such as the Furuichi Kimitake Prize and Institute Gold Medal. Dr. Islam is also a proactive academic mentor, guiding numerous undergraduate projects and contributing to international academic collaborations. His technical, analytical, and conceptual skills have made a significant impact on the field of engineering.

Professional Profile

Summary of Suitability for the Research for Best Researcher Award – Md. Kamrul Islam

Dr. Md. Kamrul Islam, affiliated with King Faisal University, Saudi Arabia, and an Australian citizen, presents a promising profile for the Research for Best Researcher Award. As a faculty member at a reputed institution in the Gulf region, he is likely engaged in cutting-edge research and academic collaboration, contributing significantly to his field. His dual academic and cultural experience, having connections in both Australia and the Middle East, potentially strengthens his international outreach and research dissemination impact.

Given the rigorous environment of King Faisal University, which emphasizes innovation and scholarly contributions, Dr. Islam’s ongoing involvement likely includes authoring peer-reviewed articles, mentoring postgraduate researchers, and participating in international conferences. If his work spans applied or interdisciplinary domains, it would further align with the award’s emphasis on impactful and forward-looking research contributions.

Education

Dr. Md. Kamrul Islam’s academic journey showcases his deep-rooted expertise in transportation and civil engineering. He earned his PhD in Transportation Engineering from the University of New South Wales, Australia, in 2014. His doctoral thesis focused on stochastic modeling of public transit performance, leading to several high-impact journal publications. Prior to this, he obtained his Master’s in Engineering with a major in Transportation Planning from the University of Tokyo, Japan, in 2006. His master’s research on urban systems and consumption behavior across East Japan equipped him with advanced simulation and data analysis skills. Dr. Islam began his academic pursuit with a B.Sc. in Civil Engineering from DUET, Bangladesh, in 2002, where he graduated with top honors and was later accredited by Engineers Australia as meeting professional engineer standards. His educational background has laid the foundation for his exceptional contributions to engineering research and teaching.

Professional Experience

Dr. Md. Kamrul Islam has extensive academic and industry experience. He is currently an Associate Professor (since September 2024) and was formerly an Assistant Professor (2015–2024) at the Department of Civil and Environmental Engineering, King Faisal University (KFU), KSA. At KFU, he spearheaded multi-institutional research collaborations and managed projects under the Saudi Aramco Chair on Asphalt Pavement. Before joining KFU, he held faculty positions at DUET, Bangladesh, from 2003 to 2015, progressing from Lecturer to Assistant Professor. His international experience includes roles as a Casual Graduate Academic at UNSW, Australia, and as a Civil Engineer at Pacific Consultant International in Japan, where he contributed to deep-sea port planning. Earlier, he worked as a Project Implementation Officer for the Ministry of Food and Disaster Management, Bangladesh. Throughout his career, he has balanced rigorous academic teaching, research leadership, and field-level infrastructure planning with exceptional professionalism.

Awards and Recognition

Dr. Md. Kamrul Islam’s outstanding academic and research contributions have earned him multiple prestigious accolades. In 2006, he received the Furuichi Kimitake Prize from the University of Tokyo for excellence in engineering graduation, recognizing his innovative thesis and academic merit. Earlier, in 2002, he was honored with the Institute Gold Medal by the Board of Governors of DUET, Bangladesh, for securing top marks in his undergraduate studies. His research success is further exemplified by securing and completing over 50 research projects sponsored by the Deanship of Scientific Research (DSR) at King Faisal University. These achievements are a testament to his commitment to advancing engineering through research, innovation, and academic collaboration. Additionally, his role in fostering international research networks and mentoring undergraduate students highlights his dedication to academic excellence and leadership in civil and transportation engineering.

Research Skill On Engineering

Dr. Md. Kamrul Islam exhibits a dynamic portfolio of advanced research skills. He specializes in transportation engineering, stochastic modeling, and asphalt material performance. His PhD research demonstrated his ability to analyze complex transit systems using computational techniques and large-scale algorithms in MATLAB. At KFU, he led multidisciplinary projects addressing sulfur-extended asphalt, pavement benchmarking, and life-cycle assessments. Dr. Islam has developed significant expertise in analytical modeling, data simulation, and numerical approximation, often applied to real-world transport networks. His work involves integrating academic theory with field-based applications, allowing for policy-relevant insights and innovations in civil infrastructure. He has also mastered collaborative research management, coordinating with leading institutions in the USA and Japan. With strong technical acumen, conceptual clarity, and problem-solving approaches, he continues to contribute to academic advancement and sustainable engineering solutions.

Publication Top Notes

Title: A review of the evolution of technologies to use sulphur as a pavement construction material
Authors: N. Sakib, A. Bhasin, M.K. Islam, K. Khan, M.I. Khan
Journal: International Journal of Pavement Engineering, 22(3), 392-403
Citations: 40
Year: 2021
Title: Towards sustainable road safety in Saudi Arabia: Exploring traffic accident causes associated with driving behavior using a Bayesian belief network
Authors: M.M. Rahman, M.K. Islam, A. Al-Shayeb, M. Arifuzzaman
Journal: Sustainability, 14(10), 6315
Citations: 33
Year: 2022
Title: Climate change in Bangladesh: Temperature and rainfall climatology of Bangladesh for 1949–2013 and its implication on rice yield
Authors: E. Alam, A.E.E. Hridoy, S.M.S.H. Tusher, A.R.M.T. Islam, M.K. Islam
Journal: PLOS ONE, 18(10), e0292668
Citations: 29
Year: 2023
Title: Predicting road crash severity using classifier models and crash hotspots
Authors: M.K. Islam, I. Reza, U. Gazder, R. Akter, M. Arifuzzaman, M.M. Rahman
Journal: Applied Sciences, 12(22), 11354
Citations: 28
Year: 2022
Title: Coupling of machine learning and remote sensing for soil salinity mapping in coastal area of Bangladesh
Authors: S.K. Sarkar, R.R. Rudra, A.R. Sohan, P.C. Das, K.M.M. Ekram, S. Talukdar, …
Journal: Scientific Reports, 13(1), 17056
Citations: 24
Year: 2023
Title: A bulk queue model for the evaluation of impact of headway variations and passenger waiting behavior on public transit performance
Authors: M.K. Islam, U. Vandebona, V.V. Dixit, A. Sharma
Journal: IEEE Transactions on Intelligent Transportation Systems, 15(6), 2432-2442
Citations: 23
Year: 2014
Title: Reliability analysis of public transit systems using stochastic simulation
Authors: M.K. Islam, U. Vandebona
Journal: Not specified
Citations: 21
Year: 2010
Title: Greenhouse gas emissions in the industrial processes and product use sector of Saudi Arabia—An emerging challenge
Authors: M.M. Rahman, M.S. Rahman, S.R. Chowdhury, A. Elhaj, S.A. Razzak, …
Journal: Sustainability, 14(12), 7388
Citations: 20
Year: 2022
Title: A critical, temporal analysis of Saudi Arabia’s initiatives for greenhouse gas emissions reduction in the energy sector
Authors: M.M. Rahman, M.A. Hasan, M. Shafiullah, M.S. Rahman, M. Arifuzzaman, …
Journal: Sustainability, 14(19), 12651
Citations: 19
Year: 2022
Title: Flood hazard mapping using GIS-based statistical model in vulnerable riparian regions of sub-tropical environment
Authors: A. Ghosh, U. Chatterjee, S.C. Pal, A.R.M. Towfiqul Islam, E. Alam, M.K. Islam
Journal: Geocarto International, 38(1), 2285355
Citations: 18
Year: 2023

Yakshansh Kumar | Engineering | Best Researcher Award

Posted on 12/02/202512/02/2025 by sciencefather

Mr. Yakshansh Kumar | Engineering | Best Researcher Award

Mr. Yakshansh Kumar, Delhi Technological University, India

Yakshansh Kumar is a highly motivated researcher and academician in the field of Civil Engineering, with a specialization in Pavement-Soil Dynamics. Currently pursuing his PhD at Delhi Technological University, he focuses on dynamic response analysis of pavement-soil systems using piezo sensors. He has actively contributed to several publications and international conferences, establishing himself as a promising expert in geotechnical engineering. Passionate about advancing knowledge and fostering innovation, Yakshansh is also involved in mentoring students and advancing research projects. His dedication and commitment are evident in his academic achievements and research pursuits.

Professional Profile

Summary of Suitability for the “Research for Best Researcher Award”

Yakshansh Kumar is a promising and dedicated researcher with a strong academic foundation and a demonstrated commitment to advancing the field of civil and geotechnical engineering, particularly in pavement-soil dynamics. Currently pursuing a Ph.D. at Delhi Technological University, his research focus on dynamic response analysis of pavement-soil systems using piezo sensors exemplifies his innovative approach to solving complex engineering challenges. His research is not only theoretically robust but also applied, with funding from the university’s IRD and the use of experimental testing and finite element analysis in his investigations.

Kumar’s publication record is impressive, with multiple articles in high-impact journals such as International Journal of Non-Linear Mechanics (SCIE, Q1) and Journal of Vibration Engineering and Technologies (SCIE, Q2). He has contributed to the scientific community with key insights on dynamic load vibrations, piezo-dynamics, and the role of machine learning in geotechnical analysis. His research has garnered attention on both national and international platforms, demonstrated by his active participation in numerous conferences, where he has won awards for best technical papers.

Education

Yakshansh Kumar holds a PhD in Civil Engineering from Delhi Technological University (DTU), where he is conducting research on the dynamic analysis of pavement-soil systems. He earned his Master’s degree in Geotechnical Engineering from DTU, achieving a CGPA of 7.49. He completed his Bachelor’s degree in Civil Engineering at Hindu College of Engineering (affiliated with DCRUSTM) with a CGPA of 6.37. Throughout his academic career, Yakshansh has demonstrated a strong foundation in engineering principles, with a specific interest in soil dynamics and pavement systems. His rigorous research work has led to multiple scholarly contributions in well-regarded journals and international conferences.

Professional Experience

Yakshansh Kumar has an extensive academic and research background. He is currently working on his PhD project, funded by the IRD-DTU, which focuses on pavement-soil dynamics using piezo sensors for experimental testing and finite element analysis. As part of his professional journey, Yakshansh has contributed to several research papers, conferences, and has collaborated with experts in geotechnical engineering. He has also participated as a reviewer in esteemed journals such as Transportation Infrastructure Geotechnology. In addition to his research, he has attended workshops and seminars, including a national seminar on Science Day and faculty development programs, showcasing his dedication to continuous learning. His involvement in teaching and research continues to shape his career path.

Awards and Recognition

Yakshansh Kumar has been recognized for his outstanding contributions to research and academic excellence. He was awarded the Best Technical Paper Award for his work on “Velocity Induced Post Elastic Response of Pavements” presented at the Sustainable Infrastructure: Innovations, Opportunities, and Challenges (SIIOC 2024). In addition, his paper on “Post Elastic Response of Pavement Subjected to Moving Load” received the Best Paper Award at the International Online Conference on Energy Science (ICES 2021). His work has been published in high-impact journals such as the International Journal of Non-Linear Mechanics and Journal of Vibration Engineering and Technologies. He has also been recognized as a reviewer for journals and international conferences, reflecting his academic credibility and recognition in the field of geotechnical engineering.

Research Skills On Engineering

Yakshansh Kumar possesses strong research skills, particularly in the areas of pavement-soil dynamics, finite element analysis, and piezo-dynamics of geomaterials. His expertise lies in dynamic response analysis using experimental testing and numerical modeling. His ongoing PhD project focuses on piezo sensors and their application to pavement systems, supported by funding from IRD-DTU. Yakshansh has demonstrated his proficiency in using advanced software for computational modeling and simulations, as well as conducting real-world experimental tests. His research contributes to understanding the behavior of pavements under dynamic loads, which is vital for improving infrastructure performance. His skills are complemented by his ability to collaborate with peers, present research at conferences, and publish in well-regarded journals.

Publication Top Notes

Damage evaluation in pavement-geomaterial system using finite element-scaled accelerated pavement testing
- Authors: Y Kumar, A Trivedi, SK Shukla
- Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2023). Damage evaluation in pavement-geomaterial system using finite element-scaled accelerated pavement testing. Transportation Infrastructure Geotechnology, 11(3), 922-933.
- Year: 2023
Damage evaluation in pavement-geomaterial system using finite element-scaled accelerated pavement testing
- Authors: Y Kumar, A Trivedi, SK Shukla
- Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2024). Damage evaluation in pavement-geomaterial system using finite element-scaled accelerated pavement testing. Transportation Infrastructure Geotechnology, 11(3), 922-933.
- Year: 2024
Deflections governed by the cyclic strength of rigid pavement subjected to structural vibration due to high-velocity moving loads
- Authors: Y Kumar, A Trivedi, SK Shukla
- Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2024). Deflections governed by the cyclic strength of rigid pavement subjected to structural vibration due to high-velocity moving loads. Journal of Vibration Engineering & Technologies, 12(3), 3543-3562.
- Year: 2024
Investigating the Influence of Frequency on Piezo-dynamics of Polyvinylidene Fluoride (PVDF) Films Embedded in Confined Geomaterials
- Authors: Y Kumar, A Trivedi, SK Shukla
- Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2024). Investigating the Influence of Frequency on Piezo-dynamics of Polyvinylidene Fluoride (PVDF) Films Embedded in Confined Geomaterials. Journal of Vibration Engineering & Technologies, 1-20.
- Year: 2024
Application of machine learning technique for dynamic analysis of confined geomaterial subjected to vibratory load
- Authors: A Boban, P Pateriya, Y Kumar, K Gaur, A Trivedi
- Citation: Boban, A., Pateriya, P., Kumar, Y., Gaur, K., & Trivedi, A. (2024). Application of machine learning technique for dynamic analysis of confined geomaterial subjected to vibratory load. AI in Civil Engineering, 3(1), 2.
- Year: 2024
Influence of Jute Reinforcement on the Stiffness Capacity of Cohesionless Pavement Geomaterials
- Authors: P Kumar, Y Kumar, A Trivedi
- Citation: Kumar, P., Kumar, Y., & Trivedi, A. (2023). Influence of Jute Reinforcement on the Stiffness Capacity of Cohesionless Pavement Geomaterials. International Conference on Interdisciplinary Approaches in Civil Engineering.
- Year: 2023
Numerical and Experimental Investigation of a Confined Geomaterial Subjected to Vibratory Load
- Authors: A Boban, Y Kumar, A Trivedi
- Citation: Boban, A., Kumar, Y., & Trivedi, A. (2023). Numerical and Experimental Investigation of a Confined Geomaterial Subjected to Vibratory Load. International Conference on Sustainable Infrastructure: Innovation.
- Year: 2023
Impact of Moving Load Vibrations on Pavement Damage Supported by Flow-Controlled Geomaterials
- Authors: Y Kumar, A Trivedi, SK Shukla
- Citation: Kumar, Y., Trivedi, A., & Shukla, S. K. (2024). Impact of Moving Load Vibrations on Pavement Damage Supported by Flow-Controlled Geomaterials. Available at SSRN 5002829.
- Year: 2024

AWAIS KHAN | Engineering | Best Researcher Award

Posted on 29/01/202529/01/2025 by sciencefather

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.

Professional Profile

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

Posted on 28/01/202528/01/2025 by sciencefather

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.

Professional Profile

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

Praveen Sankarasubramanian | Engineering | Best Researcher Award

Posted on 11/01/202511/01/2025 by sciencefather

Dr. Praveen Sankarasubramanian | Engineering | Best Researcher Award

Dr. Praveen Sankarasubramanian, RMD Research labs, India

Dr. Praveen Sankarasubramanian is a distinguished technologist and researcher with over 13 years of experience in software development, AI, cloud computing, and industrial safety. Currently, he serves as a Senior Software Developer at Pearson India Education Services, specializing in Java, Spring Boot, and AWS Cloud. Dr. Praveen is also the founder of RMD Research Labs, focusing on cutting-edge research in AI, NLP, and safety technologies. His academic expertise is complemented by a Ph.D. in Computer Science and Engineering from VELS University, an M.Tech. in Software Systems from Birla Institute of Technology and Science, and multiple certifications. Dr. Praveen has developed innovative solutions in various domains, including AI-driven safety mechanisms, cloud platforms, and personalized learning systems. His leadership, mentorship, and continuous drive for innovation have made a significant impact on both academic and industry landscapes.

Author Profile

Scopus Profile

Orcid Profile

Education:

Dr. Praveen Sankarasubramanian’s academic journey reflects his dedication to excellence in technology and engineering. He earned a Ph.D. in Computer Science and Engineering from VELS University (March 2018 – August 2023), where he focused on AI, NLP, and cloud-based technologies. His M.Tech. in Software Systems from Birla Institute of Technology and Science, Pilani (2015-2017) provided a solid foundation in advanced software development techniques. Further expanding his expertise, Dr. Praveen completed an Advanced Diploma in Industrial Safety from Bharat Sevak Samaj (2017-2018). Additionally, he pursued a Post Graduate Program in Business Administration with a focus on operations from Symbiosis (2012-2014). His academic background equips him with a diverse skill set, enabling him to tackle complex problems in software engineering, AI, and industrial safety. This foundation has played a key role in his successful integration of theoretical knowledge with practical solutions.

Professional Experience:

Dr. Praveen Sankarasubramanian has extensive professional experience, having held leadership roles in major global tech companies. Currently, he is a Senior Software Developer at Pearson India Education Services, where he focuses on cutting-edge technologies such as Java, AWS Cloud, and Spring Boot. Before this, Dr. Praveen was a Senior Software Engineer at Cognizant, where he managed multiple projects in personalized learning and analytics. He oversaw a cross-functional team of 48 members and led seven parallel projects, successfully meeting organizational and project goals. Dr. Praveen’s experience also spans roles at Software AG, GlobalLogic, and 8K Miles Software Services, where he developed cloud-based systems and advanced data analytics solutions. As the founder of RMD Research Labs, he continues to lead research projects in AI and NLP. His career has consistently showcased his ability to merge leadership with technical innovation to drive impactful solutions in both academia and industry.

Research Skills:

Dr. Praveen Sankarasubramanian possesses a diverse and highly advanced skill set in research, combining expertise in artificial intelligence (AI), natural language processing (NLP), machine learning (ML), cloud computing, and industrial safety. His research work spans several impactful areas, such as developing AI-driven safety systems, optimizing cloud platforms, and advancing personalized learning solutions in education technology. Dr. Praveen has also contributed to bandwidth optimization for video solutions and AI for predictive maintenance. His interdisciplinary approach allows him to apply theoretical research to real-world challenges, resulting in the creation of patents and innovative software solutions. Additionally, he has honed his skills in project management, utilizing Agile, Scrum, and JIRA to lead research teams effectively. Dr. Praveen’s research has not only influenced the tech industry but also shaped academic curricula, through his mentorship and contributions to educational resources such as books and journals for students.

Awards and Recognition:

Dr. Praveen Sankarasubramanian’s dedication to innovation and technology has earned him numerous accolades throughout his career. He holds a patent for a system to monitor and handle liquid sodium leakage and fire accidents using AI, which showcases his contribution to industrial safety. His work on bandwidth optimization for video solutions also demonstrates his innovative approach to solving critical tech challenges. Dr. Praveen’s leadership and expertise in cloud computing, AI, and software development have been widely recognized within the tech industry, especially during his tenure at Pearson India and Cognizant. He has also been recognized for his mentorship, having successfully onboarded and guided numerous associates and students in their professional journeys. As a researcher, his contributions have further been acknowledged in academic circles, making him a trusted mentor for the next generation of engineers. His accolades reflect his commitment to excellence, both as a researcher and as a leader.

Publications Titles:

A System and Method for Monitoring, Sensing, Analyzing, and Handling the Pre-determined Status of Liquid Metals
AI-driven Safety Mechanisms for Industrial Accidents
Bandwidth Optimization for Video Solutions in Cloud-Based Applications
Predictive Maintenance in Industrial Safety Systems Using Machine Learning
Developing Personalized Learning Solutions in Education Technology
Cloud Architecture for Scalable SaaS Platforms

Conclusion:

Dr. Praveen Sankarasubramanian is a highly qualified and innovative researcher whose contributions to AI, cloud computing, and industrial safety have made a significant impact. His ability to blend academic knowledge with practical solutions, demonstrated through patents and cutting-edge technologies, highlights his research excellence. With over 13 years of experience, he has successfully led teams, managed complex projects, and mentored the next generation of engineers. Dr. Praveen’s leadership, technical expertise, and dedication to continuous innovation make him a deserving candidate for the Research for Best Researcher Award, marking him as a pioneer in his field.

Top Notable Publications

Enhancing precision in agriculture: A smart predictive model for optimal sensor selection through IoT integration
- Authors: Sankarasubramanian, P.
- Citations: 0
- Year: 2025
- Journal: Smart Agricultural Technology
An efficient crack detection and leakage monitoring in liquid metal pipelines using a novel BRetN and TCK-LSTM techniques
- Authors: Sankarasubramanian, P.
- Citations: 0
- Year: 2024
- Journal: Multimedia Tools and Applications
Protection of Hazardous Places in Industries using Machine Learning
- Authors: Sankarasubramanian, P.
- Citations: 1
- Year: 2023
- Conference: 2023 International Conference on Emerging Smart Computing and Informatics (ESCI 2023)
Artificial intelligence-based detection system for hazardous liquid metal fire
- Authors: Sankarasubramanian, P., Ganesh, E.N.
- Citations: 1
- Year: 2021
- Conference: Proceedings of the 2021 8th International Conference on Computing for Sustainable Global Development (INDIACom 2021)
Realtime Pipeline Fire Smoke Detection Using a Lightweight CNN Model
- Authors: Kumar, V.K.S., Sankarasubramanian, P.
- Citations: 5
- Year: 2021
- Conference: Proceedings of the 2021 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT 2021)
IoT based prediction for industrial ecosystem
- Authors: Sankarasubramanian, P., Ganesh, E.N.
- Citations: 1
- Year: 2019
- Journal: International Journal of Engineering and Advanced Technology

Siyuan Song | Engineering | Best Researcher Award

Posted on 10/01/202510/01/2025 by sciencefather

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.

Professional Profile

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

Jingping Liu | Engineering | Best Researcher Award

Posted on 27/12/202427/12/2024 by sciencefather

Prof. Dr. Jingping Liu | Engineering | Best Researcher Award

Prof. Dr. Jingping Liu, Kunming University of Science and Technology, China

Jingping Liu, an Associate Professor at Kunming University of Science and Technology (KUST), holds a Ph.D. from Guangzhou Institute of Geochemistry, Chinese Academy of Sciences. With expertise in atmospheric science and engineering, her research focuses on heterogeneous photochemical reactions, indoor air pollution, and the catalytic degradation of sulfur and nitrogen-containing volatile organic compounds (VOCs). Since 2021, Dr. Liu has explored kinetics, mechanisms, and photochemistry of multiphase reactions on environmental surfaces, contributing to improved air quality and climate change models. Her prolific academic output includes over 48 SCI-indexed publications, with more than 1,400 citations and an h-index of 21. She has collaborated with leading global researchers and institutions, including the University of Pennsylvania and CNRS-IRCELYON. Her work has garnered recognition in prestigious journals such as Science Advances and Environmental Science & Technology, establishing her as a thought leader in atmospheric chemistry and industrial pollution control.

Professional Profile

Summary of Suitability for the “Research for Best Researcher Award”

Dr. Jingping Liu exemplifies excellence in the field of atmospheric science and environmental engineering, making him a strong candidate for the “Research for Best Researcher Award.” His academic journey, from earning a Ph.D. at the Guangzhou Institute of Geochemistry to becoming an Associate Professor at Kunming University of Science and Technology, highlights a career dedicated to advancing scientific understanding and addressing critical environmental challenges.

Dr. Liu’s research primarily focuses on the kinetics, mechanisms, and photochemistry of multiphase reactions on environmental and indoor surfaces, as well as innovative solutions for industrial VOC control. His work has significant real-world implications, contributing to improved air quality and climate change mitigation. With over 48 publications in high-impact journals such as Science Advances, JACS, and Environmental Science & Technology, his research outputs have garnered more than 1,400 citations, reflecting a strong influence in his field.

Education

Dr. Jingping Liu earned her Ph.D. in Atmospheric Chemistry from the Guangzhou Institute of Geochemistry, Chinese Academy of Sciences. Her academic journey reflects a steadfast commitment to exploring the science of air quality and environmental pollutants. She specialized in understanding heterogeneous photochemical reactions and their environmental impact, laying a strong theoretical foundation for tackling real-world pollution challenges. Dr. Liu actively engages in academic collaborations and research exchanges, contributing to her comprehensive grasp of atmospheric chemistry. Beyond her doctoral research, she has pursued specialized studies in catalysis, photochemistry, and pollutant control technologies, aligning her education with her mission to address pressing environmental challenges. These academic experiences have equipped her with the knowledge and research skills necessary to advance innovations in indoor air quality improvement and industrial VOCs control technologies, making her an influential voice in the scientific community.

Professional Experience

Dr. Jingping Liu is an Associate Professor at Kunming University of Science and Technology (KUST). She has extensive experience in atmospheric science and engineering, focusing on heterogeneous photochemical reactions and the mitigation of air pollution. Dr. Liu has led and contributed to numerous research projects, including four completed and five ongoing studies on photochemical reactions, indoor air quality, and VOC control technologies. She has collaborated with prominent researchers and institutions worldwide, such as Academician Joseph S. Francisco (University of Pennsylvania) and Professor Christian A. George (CNRS-IRCELYON). Dr. Liu has also actively participated in academic exchanges and conferences, sharing insights with the global scientific community. Her career achievements extend to mentoring young scientists, publishing influential research in high-impact journals, and enhancing KUST’s academic reputation. Through her innovative approach, she continues to make significant contributions to the fields of atmospheric chemistry and industrial pollution management.

Awards and Recognitions

Dr. Jingping Liu has achieved notable recognition in her field for her groundbreaking contributions to atmospheric science and environmental research. Her work has earned her several prestigious accolades, including high-impact publications in leading journals like Science Advances and Environmental Science & Technology. With over 1,400 citations and an h-index of 21, her research is widely referenced in the scientific community. Dr. Liu has collaborated with globally renowned researchers and institutions, which has further enhanced her academic and professional reputation. She has also contributed to significant advancements in VOC control technology and air quality improvement. Additionally, her innovative research has been recognized through successful patent publications, showcasing her practical applications of scientific discoveries. These honors reflect her dedication to advancing the understanding of environmental challenges and her commitment to developing sustainable solutions for air pollution and climate change.

Research Skills On Engineering

Dr. Jingping Liu excels in a diverse range of research skills pivotal to atmospheric science and environmental engineering. Her expertise includes designing and conducting advanced experiments to investigate heterogeneous photochemical reactions on environmental and indoor surfaces. She specializes in analyzing the formation mechanisms of pollutants such as HONO and brown carbon, utilizing state-of-the-art analytical techniques. Dr. Liu is adept at integrating photochemical models to enhance air quality and climate predictions. Her skillset extends to developing innovative technologies for industrial VOC degradation, emphasizing sulfur- and nitrogen-containing compounds. She also has extensive experience collaborating with international research teams, leveraging cross-disciplinary insights to address complex environmental challenges. With a keen eye for detail and a methodical approach, Dr. Liu has consistently contributed to impactful, data-driven solutions for air pollution control, making her an asset to both academia and industry.

Publication Top Notes

A systematic review of the source, formation mechanism, and environmental effects of HONO in the indoor air
- Authors: Lingling Li, Yuanzhe Li, Yanan Hu, Jingwei Zhang, Wei Du, Sasho Gligorovski, Jiangping Liu
- Citations: Crossref (no specific citation count available)
- Year: 2025
Resolving the Formation Mechanism of HONO via Ammonia-Promoted Photosensitized Conversion of Monomeric NO2 on Urban Glass Surfaces
- Authors: Jiangping Liu, Bai Li, Huifan Deng, Yan Yang, Wei Song, Xinming Wang, Yongming Luo, Joseph S. Francisco, Lei Li, Sasho Gligorovski
- Citations: Crossref (no specific citation count available)
- Year: 2023
Unraveling the Synergistic Reaction and the Deactivation Mechanism for the Catalytic Degradation of Double Components of Sulfur-Containing VOCs over ZSM-5-Based Materials
- Authors: Rui Tian, Jichang Lu, Zhizhi Xu, Wenjun Zhang, Jiangping Liu, Langlang Wang, Yibing Xie, Yutong Zhao, Xiaohua Cao, Yongming Luo
- Citations: Crossref (no specific citation count available)
- Year: 2023
Daytime SO2 chemistry on ubiquitous urban surfaces as a source of organic sulfur compounds in ambient air
- Authors: Huifan Deng, Pascale S. J. Lakey, Yiqun Wang, Pan Li, Jinli Xu, Hongwei Pang, Jiangping Liu, Xin Xu, Xue Li, Xinming Wang, et al.
- Citations: Crossref (no specific citation count available)
- Year: 2022

Julius Adinkrah | Engineering | Best Researcher Award

Posted on 09/12/202409/12/2024 by sciencefather

Mr. Julius Adinkrah | Engineering | Best Researcher Award

Mr. Julius Adinkrah, Kwame Nkrumah University of Science and Technology (KNUST), Ghana

Julius Adinkrah is a dedicated researcher and educator from Ghana, specializing in computer engineering and artificial intelligence. Currently pursuing a PhD in Computer Engineering at Kwame Nkrumah University of Science and Technology (KNUST), he has a strong academic foundation with an MPhil in Scientific Computing and Industrial Modelling and a BSc in Mathematics. His passion for AI applications in sustainable energy and data-driven solutions is evident in his impactful publications. Julius has demonstrated his commitment to advancing knowledge as a Teaching Assistant at KNUST and the University of Mines and Technology. His expertise spans programming languages, machine learning, and data analysis, complemented by scholarships like the ACE Impact Scholarship and AI for Development Africa Scholarship. Through his research and teaching, Julius strives to contribute innovative solutions to pressing global challenges while mentoring the next generation of technology leaders.

Professional Profile