Vidya Nandikolla | Engineering | Best Researcher Award

Published on by Academic Excellence

Best Researcher Award

Dr Vidya Nandikolla
Affiliation California State University Northridge
Country United States
Scopus ID 8339231200
Documents 25
Citations 136
h-index 5
Subject Area Engineering
Event International Academic Excellence Awards
ORCID 0000-0002-4151-4783

Dr Vidya Nandikolla
California State University Northridge,United States

Dr Vidya Nandikolla is an engineering researcher affiliated with California State University Northridge in the United States. Her documented research output includes work in autonomous vehicles, robotics, brain-computer interfaces, and simultaneous localization and mapping (SLAM), reflecting an interdisciplinary interest in intelligent robotic and autonomous systems. Available bibliographic indicators record 25 documents, 136 citations, and an h-index of 5.

Abstract

Dr Vidya Nandikolla’s research profile is situated within engineering applications involving robotics, autonomous systems, human-machine interaction, and computational sensing. Her publication record includes research on a hybrid EEG-based brain-computer interface (BCI) arm manipulator controlled through ROS and work concerning autonomous vehicles and LiDAR-based localization. These topics connect sensing, control, perception, and intelligent automation, all of which are central areas of contemporary engineering research.

Keywords

Robotics; autonomous vehicles; LiDAR; SLAM; brain-computer interface; ROS; robotic control; engineering; localization; intelligent systems.

Introduction

Modern autonomous and robotic platforms depend on reliable perception, localization, control, and human-machine communication. SLAM methods allow robotic systems to estimate their position while constructing representations of an environment, while BCI technologies investigate alternative mechanisms for controlling assistive robotic devices. Nandikolla’s documented work intersects these engineering challenges, providing a research profile that combines robotics with emerging sensing and control technologies. [2]

Research Profile

The available record identifies Engineering as the principal subject area. Her research themes include ROS-enabled robotic control, EEG-based BCI systems, autonomous vehicle technologies, and LiDAR SLAM. ROS is widely used as a framework for developing modular robotic applications, making its use relevant to experimental robotics and autonomous-system research. [3]

Research Contributions

  • Research involving a hybrid EEG-based BCI arm manipulator and ROS-based robotic control.
  • Investigation of autonomous vehicle technologies, including custom battery-pack design using solar energy.
  • Evaluation of Extended Kalman Filter odometry for improving the performance of 2D LiDAR SLAM algorithms. [1]

Publications

Evaluating the Impact of Extended Kalman Filter Odometry on the Performance of 2D LiDAR SLAM Algorithms is listed as a working paper and carries. Another documented publication is Teleoperation Robot Control of a Hybrid EEG-Based BCI Arm Manipulator Using ROS, published in the Journal of Robotics in 2022 and reported with five citations in the supplied record. A conference paper, Design and Analysis of an Custom Battery Pack Using Solar Energy for an Autonomous Vehicle, further demonstrates an application-oriented engineering focus.

Research Impact

The reported bibliometric record of 136 citations across 25 documents indicates measurable scholarly visibility. An h-index of 5 provides an additional bibliometric indicator of citation distribution. These metrics should be interpreted alongside publication quality, research relevance, technical contribution, and broader application potential rather than as standalone measures of research excellence. [4]

Award Suitability

Dr Vidya Nandikolla demonstrates characteristics relevant to consideration for a Best Researcher Award in Engineering, particularly through a research portfolio connecting robotics, autonomous mobility, BCI systems, and localization. The combination of published research, interdisciplinary engineering applications, and documented citation activity provides a reasonable academic basis for recognition. Final award assessment should consider the complete submitted evidence and the evaluation criteria established by the International Academic Excellence Awards.

Conclusion

Dr Vidya Nandikolla’s documented research reflects an engineering-oriented approach to robotics, autonomous systems, human-machine interfaces, and intelligent localization. Her publication activity and bibliometric indicators support recognition of sustained research engagement, while her work addresses practical challenges in emerging robotic technologies.

References

  1. Nandikolla, Vidya K. et al. (2026). Evaluating the Impact of Extended Kalman Filter Odometry on the Performance of 2D LiDAR SLAM Algorithms. Preprints.
    https://doi.org/10.20944/preprints202607.1435.v1
  2. Cadena, C. et al. (2016). Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age. IEEE Transactions on Robotics, 32(6), 1309–1332.
    https://doi.org/10.1109/TRO.2016.2624754
  3. Quigley, M. et al. (2009). ROS: an open-source Robot Operating System. ICRA Workshop on Open Source Software.
  4. Elsevier. (n.d.). Scopus author details: Vidya Nandikolla, Author ID 8339231200. Scopus.
    https://www.scopus.com/pages/authors/8339231200
  5. Nandikolla, Vidya K., and Medina Portilla, Daniel A. (2022). Teleoperation Robot Control of a Hybrid EEG-Based BCI Arm Manipulator Using ROS. Journal of Robotics.
  6. Nandikolla, Vidya K. et al. Design and Analysis of an Custom Battery Pack Using Solar Energy for an Autonomous Vehicle. Conference paper.

Rahul Diwate | Engineering | Best Researcher Award

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Best Researcher Award

Rahul Diwate
Vishwakarma Institute of Technology, India

Rahul Diwate
Affiliation Vishwakarma Institute of Technology
Country India
Scopus ID 57223038655
Documents 36
Citations 70
h-index 5
Subject Area Engineering
Event International Academic Excellence Awards
Google Scholar Profile A66xQuoAAAAJ

Rahul Diwate is an engineering researcher affiliated with Vishwakarma Institute of Technology whose supplied scholarly record includes work in pattern matching, data mining, computer vision, machine learning, flood prediction, and intelligent surveillance systems. The available profile reports 36 documents, 70 citations, and an h-index of 5. His publications demonstrate a progression from foundational computational methods toward applied machine learning and computer-vision problems, including object detection, fire detection, and predictive environmental modelling. [1] [3]

Abstract

Rahul Diwate’s supplied publication record reflects research across computer science and engineering applications, with particular emphasis on algorithms, data mining, machine learning, and computer vision. His work includes studies of pattern matching and association-rule mining as well as more recent investigations into YOLO-based object detection, flood prediction, and lightweight convolutional neural networks for fire detection. [1] [2] [4] Together, these publications indicate an applied research orientation toward computational methods capable of addressing practical engineering and information-processing challenges.

Keywords

Engineering; machine learning; data mining; pattern matching; computer vision; object detection; YOLO; convolutional neural networks; flood prediction; fire detection; intelligent systems.

Introduction

Engineering research increasingly uses computational intelligence to process complex data and support automated decision-making. Diwate’s publication record illustrates this development through research that moves from established algorithmic techniques toward machine-learning applications. Early work addressed pattern matching and association-rule mining, while later publications examined object detection, predictive modelling, and compact neural-network architectures. [1] [2] This trajectory places his research within a broader engineering effort to develop efficient computational solutions for real-world problems.

Research Profile

The supplied profile shows a multidisciplinary computational focus. Pattern matching provides a foundation for identifying structures within data, while association-rule mining supports the discovery of relationships among variables. More recent studies apply machine learning to visual recognition and environmental prediction. The work on YOLO v3 addresses object detection, whereas the flood-prediction study applies machine-learning techniques to an environmental forecasting problem. [3] [4]

Research Contributions

  • Research into algorithmic approaches for pattern matching, addressing fundamental computational search and recognition problems. [1]
  • Review-oriented research on association-rule data mining and its applications in information analysis. [2]
  • Application of YOLO v3 for object detection, demonstrating the use of deep-learning methods in computer-vision systems. [3]
  • Development and evaluation of machine-learning approaches for flood occurrence prediction and lightweight CNN-based fire detection. [4] [5]

Publications

  1. Study of different algorithms for pattern matching. MRB Diwate and SJ Alaspurkar, International Journal, 2013. The supplied record reports 23 citations. [1]
  2. Data mining techniques in association rule: A review. RB Diwate and A Sahu, International Journal of Computer Science and Information Technologies, 2014. The supplied record reports 16 citations. [2]
  3. Optimization in object detection model using YOLO v3. RB Diwate, A Zagade, MR Khodaskar and VR Dange, 2022 International Conference on Emerging Smart Computing and Informatics. The supplied record reports 9 citations. [3]
  4. A predictive model for occurrence of floods using machine learning techniques. A Sarkar, AM Kulkarni, MR Khodaskar, SP Tidake and RB Diwate, resmilitaris, 2023, 13(2), 5054–5072. [4]
  5. Lower complex CNN model for fire detection in surveillance videos. RB Diwate, LV Patil, MR Khodaskar and NP Kulkarni, 2021 International Conference on Emerging Smart Computing and Informatics. [5]

Research Impact

The supplied bibliometric profile reports 36 documents, 70 citations, and an h-index of 5. Individual publications have also accumulated measurable citations, with the pattern-matching study listed at 23 citations and the data-mining review at 16 citations in the supplied Google Scholar record. [1] [2] These figures indicate scholarly visibility within the relevant computational and engineering literature. Bibliometric measures, however, are best interpreted together with research quality, methodological contribution, authorship responsibility, and practical significance.

Award Suitability

The supplied evidence provides a suitable basis for considering Rahul Diwate for a Best Researcher Award in Engineering. His record demonstrates sustained engagement with computational research, progressing from algorithmic methods and data mining to machine learning, object detection, environmental prediction, and intelligent surveillance. The combination of 36 reported documents and 70 citations provides quantitative support for an established scholarly record. Final award evaluation should additionally consider verified publication records, originality, individual research contribution, technical rigor, and practical or scientific outcomes.

Conclusion

Rahul Diwate’s supplied academic profile reflects a coherent engineering research trajectory centered on computational intelligence and applied machine learning. His publications cover pattern matching, data mining, object detection, flood prediction, and fire detection, demonstrating applications across information processing, computer vision, and engineering problem-solving. The reported scholarly indicators and publication record provide relevant evidence for consideration within the Best Researcher Award category.

References

  1. Diwate, M. R. B., and Alaspurkar, S. J. (2013). Study of different algorithms for pattern matching. International Journal, 3(3). Google Scholar record.
    Publication record
  2. Diwate, R. B., and Sahu, A. (2014). Data mining techniques in association rule: A review. International Journal of Computer Science and Information Technologies. Google Scholar record.
    Publication record
  3. Diwate, R. B., Zagade, A., Khodaskar, M. R., and Dange, V. R. (2022). Optimization in object detection model using YOLO v3. 2022 International Conference on Emerging Smart Computing and Informatics.
    Publication record
  4. Sarkar, A., Kulkarni, A. M., Khodaskar, M. R., Tidake, S. P., and Diwate, R. B. (2023). A predictive model for occurrence of floods using machine learning techniques. resmilitaris, 13(2), 5054–5072.
    Publication record
  5. Diwate, R. B., Patil, L. V., Khodaskar, M. R., and Kulkarni, N. P. (2021). Lower complex CNN model for fire detection in surveillance videos. 2021 International Conference on Emerging Smart Computing and Informatics.
    Publication record
  6. Elsevier. (n.d.). Scopus author details: Rahul Diwate, Author ID 57223038655. Scopus.
    https://www.scopus.com/pages/authors/57223038655

KARTHIK M | Engineering | Research Excellence Award

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Dr. KARTHIK M | Engineering | Research Excellence Award

SRM Madurai College for Engineering and Tchnology | India

Dr. M. Karthik is a dedicated academician and researcher in the field of Electrical and Electronics Engineering, with a strong specialization in High Voltage Engineering. He currently serves as a Senior Grade Assistant Professor in the Department of Electrical and Electronics Engineering at SRM Madurai College for Engineering and Technology, Tamil Nadu. With over nine years of teaching experience across reputed engineering institutions, he has consistently contributed to academic excellence, curriculum delivery, and student mentorship. Dr. Karthik earned his Ph.D. (Part-Time) in High Voltage Engineering from Anna University, Chennai, completing his doctoral coursework at the Government College of Technology, Coimbatore, with outstanding academic performance. He also holds an M.E. degree in High Voltage Engineering, graduating as a university topper with distinction, and a B.E. degree in Electrical and Electronics Engineering. His strong academic foundation reflects his commitment to technical rigor and continuous learning. His primary research interests include liquid and solid dielectrics, high voltage insulation, and related reliability studies in power systems. Dr. Karthik has actively disseminated his research through multiple national-level conference paper presentations, covering interdisciplinary themes such as biomedical signal processing, intrusion detection systems, SCADA technology, energy conservation, fuel cell technologies, and advanced power electronics applications. An active contributor to the research community, Dr. Karthik maintains profiles on ORCID, Scopus, Google Scholar, Publons, and Vidwan, highlighting his scholarly engagement and research impact. Through his teaching, research, and academic service, he remains committed to advancing knowledge in high voltage engineering and fostering innovation in electrical engineering education.

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Featured Publications

An efficient waste management technique with IoT based smart garbage system
– Materials Today: Proceedings, 2023
Frequency control of PV-connected micro grid system using fuzzy logic controller
– Materials Today: Proceedings, 2021
Visualization of virtual environment through LabVIEW platform
– Materials Today: Proceedings, 2021
Studies on critical properties of vegetable oil based insulating fluids
– IEEE INDICON, 2015
Appropriate analysis on properties of various compositions on fluids with and without additives for liquid insulation in power system transformer applications
– Scientific Reports, 2024

Peter Anyin | Engineering | Research Excellence Award

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Dr. Peter Anyin | Engineering | Research Excellence Award

Institute for Intermodal Transports and Logistics Systems | Germany

Anyin, Peter Betianabeshe, Ph.D., is a transportation engineer and researcher specializing in traffic planning, simulation, and quantitative modeling of complex mobility systems. His academic and professional work is centered on developing data-driven and system-oriented approaches to improve traffic operations, urban mobility, and infrastructure planning, particularly in rapidly growing metropolitan regions. He is currently engaged in advanced research at Technische Universität Braunschweig, Germany, where his doctoral studies focus on transportation planning and traffic simulation, with a strong emphasis on designing quantitative metrics for evaluating microscopic traffic simulators and systemic planning frameworks. His Ph.D. research addresses the systemic planning of traffic in Lagos, Nigeria, integrating simulation-based methodologies with real-world mobility challenges. Dr. Anyin’s research expertise spans microscopic traffic simulation, queueing theory, statistical traffic data analysis, and computational modeling. He has extensive experience working with industry-standard simulation tools such as VISSIM, SUMO, Aimsun, and MATSim, alongside programming and analytical platforms including Python, MATLAB, Simulink, and SQL. His interdisciplinary research also extends into machine learning applications, such as generative adversarial networks and physics-informed neural networks, applied to traffic systems and pavement modeling. He has authored multiple peer-reviewed journal articles and conference papers on traffic simulation comparison, queueing models, sustainable transportation systems, and computational methodologies. His work has been published in reputable international journals and presented at global conferences. In addition to research, he actively supervises graduate students, contributes to collaborative urban planning projects, and engages with stakeholders to translate simulation research into practical transportation solutions.

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Featured Publications

Analytical Determination of Queueing System Performance for Sustainable Economic Development
– Arid Zone Journal of Engineering, Technology and Environment, 2022
MATLAB SimEvent for Traffic Queue Model
– Arid Zone Journal of Engineering, Technology and Environment, 2024
Simplified Octahedral Shear Stress Theory for Plane Elements
– Nnamdi Azikiwe University Journal of Civil Engineering, 2025
Formulation of Limit State Deflection Equation for Thin Rectangular Steel Plates Analysis
– Nnamdi Azikiwe University Journal of Civil Engineering, 2025
Pertuzumab Overcomes Chemotherapy/Trastuzumab Resistance in ER+/HER2+ Tumors Classified as Luminal Functional Subtype
– Cancer Research (Supplement), 2016

Sumaraj S | Engineering | Academic Excellence Award

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Dr. Sumaraj S | Engineering | Academic Excellence Award

Dr. Sumaraj is a Civil and Environmental Engineer with over a decade of academic and research experience, specializing in water and environmental sustainability. He holds a Ph.D. in Civil and Environmental Engineering from the University of Auckland, New Zealand, where his doctoral research contributed to advancing sustainable approaches in water and wastewater treatment systems. His strong academic foundation also includes a Master of Technology in Environmental Engineering and Management from the Indian Institute of Technology Kharagpur, where he graduated with distinction, and a Bachelor of Engineering in Civil Engineering from the National Institute of Engineering, Mysore. Dr. Sumaraj’s research interests span water and wastewater treatment engineering, sustainable technologies, nutrient contaminant remediation, carbon-based materials such as biochar and activated carbon, adsorption mechanisms, surface chemistry, analytical chemistry, and air pollution monitoring. His work reflects an interdisciplinary approach that integrates environmental science, engineering solutions, and sustainability-driven innovation, leading to peer-reviewed publications, conference presentations, and award-winning student research projects. Currently serving as an Assistant Professor in the Department of Civil Engineering at Nitte Meenakshi Institute of Technology, Bengaluru, Dr. Sumaraj is actively involved in teaching, mentoring, and academic leadership. He has designed and delivered courses in green technology, environmental sustainability, wastewater treatment, water supply engineering, and research methodology. Beyond the classroom, he plays a key role in industry–academia collaboration, skill development initiatives, and sustainability-focused training programs. A recipient of multiple scholarships and honors, including the University of Auckland Doctoral Scholarship and recognition under national and international sustainability programs, Dr. Sumaraj is also a certified Green-Belt Career and Higher Education Counsellor. His professional journey reflects a strong commitment to research excellence, environmental stewardship, and the development of future-ready engineers.

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Featured Publications

Moulya H.V | Engineering | Women Researcher Award

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Mrs. Moulya H.V | Engineering | Women Researcher Award

Nitte Meenakshi Institute Of Technology | India

Moulya Hosagadhe Venkataramana is an accomplished academic and construction engineering professional with extensive experience in Concrete Technology, Construction Management, and Quality Assurance and Quality Control (QA/QC). With over nine years of combined teaching and industry exposure, she has significantly contributed to engineering education, laboratory development, project execution, and applied research in sustainable construction materials. Her academic tenure includes impactful roles at Nitte Meenakshi Institute of Technology, Dayananda Sagar College of Engineering, and BTL Institute of Technology and Management, where she strengthened curriculum delivery, advanced laboratory infrastructure, and supported institutional development. Her research focuses on Geopolymer Concrete, sustainable materials, and modern construction technologies, reflecting her commitment to environmental responsibility and innovative engineering practices. She has published ten research papers, including contributions in Q2, Q3, and Q4 journals, and presented her work at eight national and international conferences. Her scholarly excellence has been recognized through multiple awards, including Best Paper Presentation at ICCSI 2024 and a Research Award for Journal Publications at NMIT. In the engineering domain, she has served in QA/QC and site engineering roles, managing material procurement, batching, testing, safety compliance, and process optimization for major construction projects. She contributed to the execution of large-scale works such as building facilities and commercial complexes, demonstrating precision in quality oversight and project coordination. She has also guided numerous student projects in geopolymer concrete and sustainable construction technologies, fostering innovation among emerging engineers. With expertise spanning project management, engineering design, laboratory establishment, and academic leadership, she continues to advance research and teaching in civil engineering.

Profile: Google Scholar

Featured Publications

  • Moulya, H. V., & Chandrashekhar, A. (2022). Experimental investigation of effect of recycled coarse aggregate properties on the mechanical and durability characteristics of geopolymer concrete. Materials Today: Proceedings, 59, 1700–1707.

  • Moulya, H. V., Vasu, V. K., Praveena, B. A., Rajesh, M., Ruthuparna, S. A., & Rahul, K. (2022). Study on acoustic properties of polyester–fly ash cenosphere/nanographene composites. Materials Today: Proceedings, 52, 1272–1277.

  • Choudhari, R. M., Kharche, N. A., Shekokar, S. R., Kharche, Y. A., Kharat, D. P., … Moulya, H. V. (2025). Examining dielectric constant improvement techniques for ferroelectric applications using PVDF-HFP/TFO composite films. Journal of Materials Science: Materials in Engineering, 20(1), 137.

  • Moulya, M. H. V. (2025). Self-healing concrete using nanomaterials to extend infrastructure longevity.

  • Moulya, M. H. V., Chandrashekhar, A., & Angadi, S. V. (2024). Geopolymer recycling process for sustainable construction materials management. B. Nitte Meenakshi Institute of Technology.

Farzin Naghibalsadati | Engineering | Best Researcher Award

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Mr. Farzin Naghibalsadati | Engineering | Best Researcher Award

Mr. Farzin Naghibalsadati, University of Regina, Canada

Farzin Sadati, PMP®, is a highly accomplished Civil Engineer with over a decade of expertise in large-scale industrial, commercial, and institutional construction. Currently based in Regina, Saskatchewan, he holds a Master’s degree in Environmental Systems Engineering and specializes in sustainable construction practices and project management. With strong technical proficiency in NBC codes, risk management, budgeting, and quality control, Farzin has led multi-million-dollar construction projects with notable success. He combines academic excellence, demonstrated by scholarships and awards, with real-world impact through roles in top construction firms and research initiatives. As a committed leader and effective communicator, he excels in coordinating interdisciplinary teams and optimizing project timelines and costs. His work bridges hands-on field experience and research innovation, with a recent focus on modular construction waste analytics. Farzin is affiliated with prominent engineering and project management organizations and is recognized for his leadership in promoting sustainable development goals (SDGs).

Professional Profile

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Orcid

Google Scholar

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

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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.

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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

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

Yakshansh Kumar | Engineering | Best Researcher Award

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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.

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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