Mahdi Shadabfar | Geotechnical Engineering | Best Researcher Award

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Prof. Mahdi Shadabfar | Geotechnical Engineering | Best Researcher Award

Assistant Professor, Ayatollah Boroujerdi University, Iran

Mahdi Shadabfar is a leading researcher and academic in the fields of artificial intelligence and machine learning, with a focus on geotechnical engineering. He currently serves as a Research Fellow at Lakehead University, Canada, specializing in probabilistic geohazard analysis using deep learning techniques. His extensive background includes postdoctoral research at Sharif University of Technology in Iran and Tongji University in China. Dr. Shadabfar has contributed significantly to geotechnical engineering, particularly in reliability analysis, risk assessment, and resilience of civil infrastructure under uncertain conditions. He holds a Ph.D. in Geotechnical Engineering from Hohai University, China, and has received numerous prestigious awards and honors for his work. Dr. Shadabfar’s research explores deep learning, Internet of Things (IoT), and disaster response strategies, aiming to drive innovation in civil and geotechnical engineering practices.

Profile

Google Scholar

Education

Dr. Mahdi Shadabfar holds a Ph.D. in Geotechnical Engineering from Hohai University, China (2012-2017), where he conducted pioneering research in the reliability analysis of induced damage by single-hole rock blasting. He earned his Master’s degree in Civil Engineering, Earthquake Engineering, from Shahid Beheshti University, Tehran, Iran (2009-2011), focusing on the seismic behavior of buried steel pipelines. His Bachelor’s degree, also from Shahid Beheshti University (2005-2009), was in Civil Engineering, with a thesis on retrofitting RC structures using FRP. Throughout his academic journey, Dr. Shadabfar has been recognized for his excellence in research and academic performance, achieving high GPAs in his studies. He has also pursued various short-term programs and received international recognition, including visiting tsunami-stricken areas of Japan as part of a research program sponsored by Japan’s Ministry of Education, Culture, Sports, Science, and Technology (MEXT).

Experience

Dr. Shadabfar has vast academic and professional experience in civil and geotechnical engineering. He is currently a Research Fellow at Lakehead University in Canada, focusing on probabilistic geohazard analysis using deep learning. Prior to this, he completed postdoctoral research at Sharif University of Technology in Iran, studying performance-based reliability analysis of underground structures, and at Tongji University in China, where he conducted risk and reliability assessments for geotechnical systems. In addition to his research roles, Dr. Shadabfar has taught at several institutions worldwide, including Fujian University of Technology (China), Lorestan University (Iran), and Shahid Beheshti University (Iran), where he led courses in earthquake engineering, geostatistics, and structural analysis. He also created and delivered online courses on his personal website, focusing on topics like deep neural networks and Monte Carlo sampling, demonstrating his commitment to academic innovation and knowledge dissemination in the field of geotechnical engineering.

Awards and Honors

Dr. Mahdi Shadabfar has received numerous prestigious awards and honors throughout his career. He was awarded funding from the Northern Ontario Heritage Fund Corporation (NOHFC) to support his research at Lakehead University. He also received national talent funding from Iran’s National Elites Foundation (INEF) for his research position at Sharif University of Technology. Dr. Shadabfar’s postdoctoral research at Tongji University in China was supported by dedicated research funding for two years. His academic excellence has been recognized through the “Academic Innovation” award from Hohai University for two consecutive years (2013-2014). Furthermore, he was awarded a full scholarship by the China Scholarship Council (CSC) for his doctoral studies in China. These accolades highlight his exceptional contributions to geotechnical engineering and research, reflecting his innovative approach to applying artificial intelligence and machine learning techniques in infrastructure resilience and risk analysis.

Research Focus

Dr. Mahdi Shadabfar’s research focuses on applying artificial intelligence and machine learning techniques in the field of geotechnical engineering, specifically in reliability analysis, risk assessment, and the resilience of civil infrastructure. His current work at Lakehead University revolves around probabilistic geohazard analysis through deep learning models. Dr. Shadabfar’s research is centered on optimizing urban infrastructure systems, improving disaster response planning, and assessing the impacts of climate change on civil structures. He is also deeply involved in exploring the Internet of Things (IoT) for smart cities and sustainable infrastructure development, along with predictive maintenance strategies. Furthermore, his work in digital twin technology and augmented reality aims to revolutionize civil engineering design and construction. Dr. Shadabfar’s research seeks to integrate cutting-edge technologies to create robust, sustainable, and resilient infrastructure systems capable of responding effectively to natural disasters and environmental challenges.

Publication Top Notes

  • Deep learning-based automatic recognition of water leakage area in shield tunnel lining 🛠️💧
  • Rock fragmentation induced by a TBM disc-cutter considering the effects of joints 🏗️💥
  • Deep learning‐based classification and instance segmentation of leakage‐area and scaling images of shield tunnel linings 📸🔧
  • Beam damage detection under a moving load using random decrement technique and Savitzky–Golay filter 🏗️⚙️
  • Resilience-based design of infrastructure: Review of models, methodologies, and computational tools 🏢💡
  • Image-based segmentation and quantification of weak interlayers in rock tunnel face via deep learning 🧱🔍
  • An optimization strategy to improve the deep learning‐based recognition model of leakage in shield tunnels 🔍🛠️
  • Multi-source data driven method for assessing the rock mass quality of a NATM tunnel face via hybrid ensemble learning models 📊🪨
  • A combined review of vibration control strategies for high-speed trains and railway infrastructures 🚄🔧
  • Approximation of the Monte Carlo sampling method for reliability analysis of structures 🧮🔬

 

 

Joon Kyu Lee | Geotechnical Engineering | Best Researcher Award

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Dr Joon Kyu Lee | Geotechnical Engineering | Best Researcher Award

Professor, University of Seoul, South Korea

Dr. Joon Kyu Lee is a Professor in the Department of Civil Engineering at the University of Seoul and the Director of the Geohazard Prevention Research Center. He has extensive expertise in geotechnical engineering, focusing on structural stability, foundation systems, and environmental geotechnics. Dr. Lee’s academic journey includes a PhD in Civil & Environmental Engineering from the University of Western Ontario, Canada. He has held various academic roles, including Assistant and Associate Professor at the University of Seoul. In addition, he has been a Visiting Scholar at the University of North Carolina, Charlotte. Dr. Lee is an active member of various professional organizations and serves as an editor for multiple academic journals. His research contributions have made a significant impact in both academia and industry, particularly in areas related to offshore structures, soil mechanics, and geohazard mitigation.

Profile

Scopus

Education

Dr. Joon Kyu Lee holds a PhD in Civil & Environmental Engineering (Geotechnical) from the University of Western Ontario, Canada (2012). His academic journey began with a BS in Civil & Urban Engineering (2005) and an MS in Civil Engineering (Geotechnical) (2007), both from Yonsei University, Korea. The doctoral research focused on advanced geotechnical engineering techniques and their practical applications. Dr. Lee’s educational background laid the foundation for his subsequent academic and research success, equipping him with expertise in soil mechanics, foundation systems, and environmental geotechnics. This diverse education has supported his broad research interests and innovative approaches in the civil engineering domain. His time at the University of Western Ontario, Canada, allowed him to work with leading experts in the field and shaped his ongoing commitment to advancing geotechnical engineering through both theoretical and practical research.

Experience

Dr. Joon Kyu Lee has accumulated a wealth of experience in academia and research, holding various prestigious roles at the University of Seoul. Since 2024, he has been a Professor in the Department of Civil Engineering, also serving as the Director of the Geohazard Prevention Research Center. Prior to his current position, Dr. Lee was an Associate Professor (2020-2022) and Assistant Professor (2016-2019) at the University of Seoul. His early career includes a Research Professor role at Yonsei University in 2015 and a Postdoctoral Research Associate position (2013-2014). Dr. Lee has also contributed to international academic communities as a Visiting Scholar in Civil and Environmental Engineering at the University of North Carolina, Charlotte (2022). His leadership extends beyond teaching, as he has been the Department Chair at the University of Seoul and served on various academic committees and review panels. Dr. Lee is known for his impactful research in geotechnical engineering.

Awards and Honors

Dr. Joon Kyu Lee has received numerous prestigious awards recognizing his outstanding contributions to academia and the field of civil engineering. In 2024, he was honored with the Minister’s Citation by the Ministry of Land, Infrastructure, and Transport of the Republic of Korea. Additionally, Dr. Lee received the Governor’s Citation from Gyeonggi Province in 2021 and the Presidential Award from the Korean Geotechnical Society in 2018. His dedication to teaching was also recognized with the Outstanding Teaching Award from the University of Seoul in 2017. Dr. Lee’s research excellence has earned him the Best Paper Presentation Award from the Korean Geotechnical Society in 2013. His early academic achievements were supported by the Brain Korea 21 Scholarship, which he received in 2006. These awards highlight Dr. Lee’s leadership in geotechnical engineering and his continued efforts to advance both academic research and education in the field.

Research Focus

Dr. Joon Kyu Lee’s research focuses on geotechnical engineering, with a special emphasis on soil mechanics, foundation systems, and structural stability in civil engineering. His work explores advanced topics such as the bearing capacity of foundations for offshore structures, the stability of footings on soils with voids, and the performance of tapered piles in heterogeneous soils. Dr. Lee’s contributions to eco-friendly engineering include the study of cemented paste backfills for mine stabilization. He also investigates the probabilistic resistance of subsea pipelines, contributing to safer marine engineering practices. His recent research on surface ground vibrations induced by tunnel blasting showcases his ability to integrate practical considerations with advanced theoretical modeling. Dr. Lee is dedicated to geohazard mitigation and the sustainable design of infrastructure. His work addresses both fundamental geotechnical problems and industry-relevant challenges, making him a key figure in advancing geotechnical and civil engineering practices.

Publication Top Notes

  1. Probabilistic Undrained Resistance of Subsea Buried Pipelines Against Upheaval Buckling 🌊🚢
  2. Evaluation of Surface Ground Vibrations Induced by Tunnel Blasts During Railway Construction: A Case Study 🚇🌍
  3. In-Plane Free Vibration of Laterally Symmetric Functionally Graded Material Arches 📐🏗️
  4. Stability Analysis of Axially Functionally Graded Heavy Column 🏛️💡
  5. Generalized Flexural Rigidity of Laterally Functionally Graded Material Cross Sections and Its Application to Cantilever Beam Elasticas 🛠️🔧
  6. Transverse Free Vibration of Pre-stressed Heavy Columns Laminated from Two-Hybrid Materials with Circular Cross-Section 🔄🏗️
  7. Probabilistic Ultimate Lateral Capacity of Two-Pile Groups in Spatially Random Clay 🌍⚙️
  8. Approximate Settlement Influence Factors for Bucket Foundations 🏝️⚓
  9. Free Vibration of Ogival Circular Arch ⏺️🔊
  10. Influence of Consolidation on Undrained Capacity of Two Interfering Footings on Heterogeneous Clays 🌱🛠️

Nagesh Dhore | Hygrothermoelasticity | Best Researcher Award

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Mr. Nagesh Dhore | Hygrothermoelasticity | Best Researcher Award

Assistant Professor, Gramgeeta Mahavidyalaya Chimur, India

Nagesh Dipak Dhore is the Head and Assistant Professor in the Department of Mathematics at Gramgeeta Mahavidyalaya, Chimur, Maharashtra. With a deep passion for mathematics and teaching, he has contributed extensively to the academic field, especially in the area of Thermoelasticity. His educational qualifications include an M.Sc., B.Ed., and SET in Mathematical Science. Nagesh is also a registered Ph.D. candidate at M. G. Arts & Science College, Armori, under the guidance of L. H. Khalsa. His contributions to academia are reflected in his publications and teaching experience.

Publication Profile

Google Scholar

Education

Nagesh holds an M.Sc. in Mathematics from Rashtrasant Tukdoji Maharaj Nagpur University (2014), a B.Ed. from Late Vithobaji Amle College of Education (2017), and a B.Sc. in Physics, Chemistry, and Mathematics from Nevjabai Hitkarini College, Nagpur (2012). Additionally, he qualified for the SET exam conducted by Savitribai Phule University, Pune in 2017, marking a significant milestone in his academic journey.

Experience

Nagesh Dipak Dhore brings over 5 years of full-time teaching experience at Gramgeeta Mahavidyalaya, Chimur. His career also includes contributory teaching positions at Shri Govindrao Munghate Arts & Science College (1 year), Christanand School & Junior College (2.5 years), and Government Polytechnic, Bramhapuri (1 year). His diverse experience in educational institutions highlights his commitment to advancing the field of mathematics.

Research Interests

Nagesh’s research interests focus on Thermoelasticity and its applications, particularly the study of hygrothermal effects on nanocomposite objects. His doctoral research, supervised by L. H. Khalsa, investigates the hygrothermal effects on nanocomposite materials, contributing to the understanding of material behavior under varying thermal and moisture conditions.

Awards

Nagesh’s dedication to academic excellence is reflected in his qualifications and research contributions. His academic journey has been marked by significant achievements, including his qualification in SET and his ongoing Ph.D. research under the guidance of a respected mentor.

Publications

Dhore, N. & Khalsa, L. (2022). “Hygrothermal effects on nanocomposite objects: A Review Article”, Aayushi International Interdisciplinary Research Journal, vol. 03, pp. 618-622.

Dhore, N. & Khalsa, L. (2023). “An analytical solution of time-fractional order hygrothermoelastic response of cylinder by ramp type heating”, International Journal Of Researches In Biosciences, Agriculture, And Technology, vol. II (XI), pp. 177-184.

Dhore, N., Khalsa, L., & Varghese, V. (2023). “Hygrothermoelastic analysis of non-simplenanobeam induced by ramp-type heating”, Archive of Applied Mechanics, vol. 93, pp. 3379-3392. DOI link.

Dhore, N., Khalsa, L., & Varghese, V. (2024). “Transient hygrothermoelastic damping analysis of cylindrical nanobeams within a fractional order system”, Acta Mechanica, vol. 235, pp. 285-301. DOI link.