Sina Farahani | Structural Engineering | Best Researcher Award

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Assist. Prof. Dr. Sina Farahani | Structural Engineering | Best Researcher Award

Shahid Chamran University | Iran

Assist. Prof. Dr. Sina Farahani is a dedicated researcher in Structural and Earthquake Engineering, with expertise spanning seismic design of structures, offshore wind turbine foundations, soil–structure interaction, and performance-based design. His research integrates advanced computational modeling, finite element analysis, and machine learning techniques to improve the seismic resilience of reinforced concrete and steel structures. Assist. Prof. Dr. Sina Farahani’s recent works, published in prestigious journals such as Engineering Structures, Earthquake Engineering & Structural Dynamics, Computers and Geotechnics, and Structures, focus on liquefaction-induced settlement prediction, buckling-restrained braced frames, and AI-driven settlement forecasting frameworks for offshore foundations. He has significantly contributed to developing displacement-based seismic design methodologies, offering new insights into the nonlinear dynamic behavior and optimization of complex structural systems. A member of several national and international engineering societies, Assist. Prof. Dr. Sina Farahani continues to advance sustainable and resilient structural engineering solutions through innovative interdisciplinary research and impactful publications.

Profile: Google scholar

Featured Publications

  • Farahani, S., Akhaveissy, A. H., & Damkilde, L. (2021). Equivalent viscous damping for buckling-restrained braced RC frame structures. Structures, 34, 1229–1252.

  • Nazarimofrad, E., Farahani, S., & Zahrai, S. M. (2019). Multiobjective optimal placement of active tendons to control irregular multistory buildings with soil–structure interaction. The Structural Design of Tall and Special Buildings, 28(4), e1581.

  • Farahani, S., & Barari, A. (2023). A simplified procedure for the prediction of liquefaction‐induced settlement of offshore wind turbines supported by suction caisson foundation based on effective stress analyses. Earthquake Engineering & Structural Dynamics, 52(15), 5072–5098.

  • Mohebkhah, A., & Farahani, S. (2016). Seismic behavior of direct displacement-based designed eccentrically braced frames. International Journal of Engineering—Transactions C: Aspects, 29(6), 752–760.

  • Moghaddam, A., Barari, A., Farahani, S., Tabarsa, A., & Jeng, D. S. (2023). Effective stress analysis of residual wave-induced liquefaction around caisson-foundations: Bearing capacity degradation and an AI-based framework for predicting settlement. Computers and Geotechnics, 159, 105364.

Alisson Silva | Construction Management | Best Researcher Award

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Mr. Alisson Silva | Construction Management | Best Researcher Award

Mr. Alisson Silva, Federal University of Bahia, Brazil

Mr. Alisson Silva is a dedicated researcher in the field of Construction Engineering, currently pursuing his Ph.D. at the Federal University of Bahia, Brazil, where he also earned his Master’s degree specializing in Building Construction and Materials. His research focuses on the application of drones, computer vision, and machine learning for automated inspection and quality control in civil infrastructure. With a solid academic background, including a B.Sc. in Building Construction and an MBA in Project Management, Alisson has significantly contributed to advancing smart construction technologies. He has authored numerous peer-reviewed journal articles and conference papers addressing topics such as facade inspection, YOLOv8-based damage detection, and BIM-integrated maintenance. Alisson is an active member of the Research Group in Construction Management and Technology (GETEC-UFBA) and collaborates with multidisciplinary teams across Brazil. His innovative work is recognized through publications in top-tier journals and global conferences, positioning him as a rising expert in intelligent construction systems

Publication Profile

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Educational Background

Mr. Alisson Silva has built a strong academic foundation in Construction Engineering, currently pursuing a Ph.D. at the Federal University of Bahia, Brazil, with a concentration in Building Construction and Materials under the guidance of Professor Dayana Bastos Costa. He previously completed his M.Sc. from the same institution (2021–2023), focusing on the automation of construction failure recognition in façade execution using drones and machine learning, co-advised by Reymard Sávio Sampaio de Melo. Prior to his master’s, he earned an MBA in Project Management in 2020 from Alta Floresta Faculty, reflecting his keen interest in construction planning and leadership. His academic journey began with a B.Sc. in Building Construction (2015–2019), also at Alta Floresta Faculty, located in Mato Grosso, Brazil. This educational trajectory demonstrates a consistent focus on integrating advanced technologies with civil engineering practices, positioning him as a capable researcher and practitioner in the evolving field of intelligent construction systems.

Research Focus

Mr. Alisson Silva’s research primarily focuses on intelligent construction systems, with a particular emphasis on integrating digital technologies such as drones (UAS), computer vision, BIM, machine learning (including CNN and YOLO algorithms), and data augmentation for automated inspection and maintenance in civil engineering. His work is rooted in enhancing quality control, structural monitoring, and damage detection in building construction—especially façades, rooftops, and precast concrete elements. Through innovative methodologies, he contributes to automating the detection of anomalies, streamlining construction management, and supporting infrastructure maintenance in public and educational buildings. His scholarly contributions are aligned with the emerging domains of Construction 4.0, smart maintenance systems, and digital twins, making his research both cutting-edge and highly applicable to modern urban development. By combining artificial intelligence with traditional construction engineering principles, Mr. Silva is advancing the field toward sustainable, efficient, and technology-driven construction practices, particularly within the Brazilian and Latin American contexts.

Publication Top Notes

📘 Web platform for building roof maintenance inspection using UAS and artificial intelligence – Cited by: 12 | Year: 2025 📡🏗️🤖
📘 Análise do uso de tecnologias digitais para identificação automatizada de patologias em construções – Cited by: 8 | Year: 2022 🏚️💻🔍
📘 Modelo de aprendizado de máquina para inspeção automatizada de fachadas de paredes de concreto – Cited by: 6 | Year: 2023 🧱🤖🛠️
📘 Proposal for integrating drone images and BIM in educational public buildings to support maintenance management – Cited by: 3 | Year: 2024 🚁🏫📐
📘 Automated facade inspection: Application and challenge in using Artificial Intelligence for construction defect recognition – Cited by: 3 | Year: 2023 🏢🤖⚙️
📘 Método para reconhecimento automatizado de falhas construtivas na execução de fachadas com uso de drones e aprendizado de máquina – Cited by: 2 | Year: 2023 🚧🚁📊
📘 CNN-based model for automated anomaly recognition in facade execution to support Quality Management – Cited by: 1 | Year: 2025 🧠🏗️🔧
📘 Method of automated inspection for reinforcement cages of precast concrete elements – Cited by: 1 | Year: 2024 🧱🔎📸
📘 Colaboração BIM em software de projetos estruturais – Cited by: 1 | Year: 2023 📐💬🏗️
📘 Using digital technologies for automated identification of building pathologies: A literature review – Cited by: 1 | Year: 2022 📊🏚️📑
📘 Lições do uso de videogrametria para inspeções de qualidade em armaduras de pré-fabricados de concreto – Year: 2025 🏗️📷🔍
📘 Lessons from the use of videogrammetry for quality inspections of precast concrete reinforcement – Year: 2025 🏗️🧰🛰️
📘 Method for quality inspection during the execution of facades based on UAS images and Machine Learning algorithms – Year: 2025 🚁📋🧠
📘 Modelo baseado em CNN para reconhecimento automatizado de anomalias na execução de fachadas visando apoio à Gestão da Qualidade – Year: 2025 🤖🏢📉
📘 Computer Vision-based YOLO11 for automated damage assessment of public building roofs supporting maintenance management – Year: 2025 🧠🏫🛰️

Younas Khan | Infrastructure | Best Researcher Award

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Dr. Younas Khan | Infrastructure | Best Researcher Award

Postdoctoral Researcher at East China University of Science and Technology, Shanghai, China

Dr. Younas Khan is a dedicated researcher and academic specializing in Rural Sociology, Food Security, and Social Development. He earned his PhD in Rural Sociology from the University of Agriculture, Peshawar, with distinction, focusing on institutional and subjective challenges to household food security in Northern Pakistan. Currently serving as a Postdoctoral Researcher at East China University of Science and Technology, Shanghai, he is actively involved in curriculum development and publishing in SCI-indexed journals. Dr. Khan has held various teaching and administrative roles at renowned Pakistani universities, including Kohat University and Bacha Khan University, and has supervised over 20 undergraduate and postgraduate students. His research interests span sociology of food and agriculture, gender studies, water-energy-food nexus, sustainability, and supply chain management. He has led funded research projects, including a principal investigator role for Oxfam-Pakistan, and is known for his commitment to interdisciplinary research and educational development across national and international platforms.

Publication Profile

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Academic Background

Dr. Younas Khan holds a strong academic foundation in Sociology and Rural Development. He earned his PhD in Rural Sociology from the University of Agriculture, Peshawar, where he explored the institutional and subjective challenges to food security in Northern Pakistan. His academic excellence is marked by a CGPA of 3.87 and a consistent record of gold medal distinctions throughout his MPhil and Bachelor’s degrees, both from leading Pakistani institutions. During his MPhil, he focused on women’s political participation barriers in District Lower Dir, while his undergraduate research addressed the socio-cultural and infrastructural constraints faced by women in accessing higher education. His education has equipped him with in-depth knowledge in areas such as food and agricultural sociology, gender studies, and sustainable development. This solid academic background forms the foundation of his interdisciplinary research career, combining theory with real-world challenges to create meaningful impact in the fields of sociology, public policy, and development. 📘

Professional Experience

Dr. Younas Khan has built a dynamic career in academia and research, with extensive experience across various institutions in Pakistan and China. He is currently a Postdoctoral Researcher at East China University of Science and Technology, Shanghai, where he is engaged in curriculum development and publishing in SCI-indexed journals. Previously, he served as a Lecturer and Visiting Faculty at Kohat University of Science & Technology, Bacha Khan University, and other reputable universities, where he taught and supervised students at the undergraduate and postgraduate levels. His administrative roles included Department Coordinator, Controller of Examinations, and member of academic committees. Dr. Khan also led a funded research project as Principal Investigator for Oxfam-Pakistan, focusing on gender and development issues. His interdisciplinary expertise spans food security, gender studies, sustainability, and social development. With a blend of academic rigor and practical field research, he continues to contribute meaningfully to both national and international academic landscapes. 📚

Awards and Honors

Dr. Younas Khan has earned notable recognition for his academic excellence and research contributions in the field of sociology and rural development. He is a two-time Gold Medalist, securing top positions during both his MPhil and Bachelor’s programs at the University of Agriculture, Peshawar, and Abdul Wali Khan University, respectively. His PhD research, which addressed food security challenges in Northern Pakistan, has been praised for its relevance and societal impact. In addition to his academic distinctions, Dr. Khan has been entrusted with leadership roles in various research projects, most notably as Principal Investigator for an Oxfam-Pakistan study focused on gender and unpaid care work. He has also been a featured speaker at provincial symposiums in Karachi and Quetta. These honors reflect his dedication to academic integrity, innovation, and social responsibility, establishing him as a respected voice in the fields of food sociology, gender studies, and sustainable development. 🌟

Research Focus

Dr. Younas Khan’s research is rooted in addressing critical societal challenges through the lens of sociology, with a primary focus on rural development, food security, and institutional dynamics. His PhD explored the structural and subjective barriers to achieving household food security in Northern Pakistan, laying the groundwork for his continued work on the sociology of food and agriculture. He is particularly interested in the Water-Energy-Food (WEF) Nexus, aiming to understand the interconnections between natural resource management and sustainable development. His research also extends to gender studies, with emphasis on women’s empowerment through education, politics, and economic participation. Additionally, Dr. Khan is exploring interdisciplinary areas such as supply chain management and econophysics, reflecting his commitment to evolving research landscapes. His work consistently bridges theoretical frameworks and practical applications, striving for impact-driven outcomes that benefit marginalized communities and contribute to policy development in Pakistan and beyond. 🧠

Publication Top Notes

A novel picture fuzzy Aczel-Alsina geometric aggregation information: Application to determining the factors affecting mango crops
Cited by: 32 | Year: 2022 🍃

Enhancing food security and nutrition through social safety nets: a pathway to sustainable development
Cited by: 20 | Year: 2023 🌾

Empowering hearts and shaping destinies: unveiling the profound influence of education on women’s mate selection in Pakistan – a comprehensive mixed-methods study
Cited by: 11 | Year: 2023 👩‍🎓

Determinants of food security through statistical and fuzzy mathematical synergy
Cited by: 10 | Year: 2024 📊

A cross-sectional analysis of familial alienation of transgender: with reference to District Swat-Pakistan
Cited by: 9 | Year: 2019

Excluding Women’s from Political Institution through Educational Deprivation
Cited by: 9 | Year: 2019 🗳️

Conclusion

Based on Dr. Younas Khan’s academic and professional profile, he is a highly suitable and deserving candidate for the Best Researcher Award, particularly in the fields of Sociology, Rural Development, Food Security, and Social Sciences. With a strong academic record highlighted by a PhD in Rural Sociology and gold medals at both MPhil and Bachelor levels, he demonstrates academic excellence and a relevant research focus. His broad interdisciplinary research themes, including gender studies, sustainability, and the Water-Energy-Food Nexus, reflect significant societal impact. Dr. Khan’s experience as Principal Investigator on a funded Oxfam-Pakistan project and his active role in national symposiums showcase leadership and applied research strength. Additionally, his extensive teaching and mentorship record, coupled with administrative contributions, reflect his dedication to academic service. Currently pursuing postdoctoral research in China with international collaborations and publishing in SCI journals, he shows strong global engagement and a forward-looking interdisciplinary approach, making him a competitive and well-rounded nominee for the award.

 

 

Ling Zhang | Engineering | Best Researcher Award

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Prof. Ling Zhang | Engineering | Best Researcher Award

Teacher | Hunan University, China

Ling Zhang, born on April 19, 1982, is a distinguished professor of Civil Engineering at Hunan University, China. She specializes in foundation treatment and pile foundation design, contributing extensively to soil mechanics and geotechnical engineering. Having earned her doctorate from Hunan University, she has rapidly advanced from associate professor to full professor. Her recent research emphasizes innovative applications of geosynthetics, numerical simulations, and experimental modeling to address engineering challenges in complex soil environments. Widely published in top-tier journals, she is recognized for advancing theories in soil-structure interaction and embankment stability, supporting China’s infrastructure development.

Publication Profile

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🎓 Education

Ling Zhang pursued her entire higher education at Hunan University, China, where she earned a Doctorate in Civil Engineering from September 2006 to June 2012. Her doctoral studies focused on advanced topics in foundation treatment and pile foundation design, offering her a solid grounding in geotechnical analysis and construction methods. Her research during this period combined both theoretical modeling and practical applications, laying the foundation for her future contributions to geosynthetic applications and soil reinforcement technologies. The program provided rigorous academic and field training, equipping her with the skills to excel in both teaching and high-impact research.

💼 Experience

Dr. Ling Zhang began her academic career at Hunan University, serving as an Associate Professor in Civil Engineering from January 2017 to December 2021. Demonstrating academic leadership and research excellence, she was promoted to full Professor in January 2022. Her work includes supervising graduate students, leading funded research projects, and publishing prolifically in international journals. Her expertise spans foundation treatment technologies and pile foundation theory. She also collaborates on interdisciplinary projects involving numerical and experimental techniques to address soil behavior under dynamic loading. Dr. Zhang continues to influence geotechnical engineering education and innovation in China.

🏆 Awards and Honors

While specific individual awards are not listed, Dr. Ling Zhang’s rapid academic progression and extensive publication record in high-impact journals suggest recognition of her scholarly excellence. Her numerous first-authored and corresponding-authored articles in journals like Geotextiles and Geomembranes, Transportation Geotechnics, and Computers and Geotechnics reflect international acknowledgment of her research contributions. She frequently collaborates with prominent experts and leads advanced numerical and experimental studies. Her role as a lead author in many collaborative works highlights her status as a respected researcher in soil mechanics and foundation engineering.

🔬 Research Focus

Dr. Ling Zhang’s research focuses on the treatment of special soil foundations and the design theory of pile foundations. She utilizes advanced numerical modeling (e.g., coupled continuum-discrete methods, spring-based trapdoor simulations) and laboratory testing to investigate geosynthetic-encased stone columns, soil arching effects, and cyclic loading behavior. Her recent studies delve into the mechanical-hydraulic response of composite foundations, stability of embankments, and erosion-induced strength degradation in coarse-grained soils. Through innovative modeling approaches, she aims to enhance the reliability and efficiency of foundation systems under complex loading and soil conditions, significantly advancing geotechnical engineering practices.

Conclusion

With her deep technical expertise, prolific research output, and strong academic standing, Dr. Ling Zhang is highly suitable and a compelling candidate for the Best Researcher Award. Her work not only advances theoretical understanding but also directly contributes to practical civil engineering solutions, making her a role model for innovation and academic excellence in her field.

Publication Top Notes

  • Soil Arching Evolution in GRPS Embankments: Numerical Spring-Based Trapdoor Tests
    Year: 2024
    Authors: Ling Zhang, Mengchao Deng, Jie Zhou, Zeyu Xu, Shuai Zhou, Yunhao Chen
    Link: https://onlinelibrary.wiley.com/doi/abs/10.1002/nag.3811Wiley Online Library+1Wiley Online Library+1

  • Numerical Stability Analysis of Sloped Geosynthetic Encased Stone Column Composite Foundation under Embankment Based on Equivalent Method
    Year: 2024
    Authors: Bo-Cheng Peng, Ling Zhang, Ze-Yu Xu, Peng-Lu Cui, Yang-Yang Liu
    Link: https://www.mdpi.com/2075-5309/14/9/2681MDPI

  • Analysis of Triaxial Shear Properties of Mudstone Coarse-Grained Soils Considering Penetrating Erosion Effects
    Year: 2025
    Authors: Yunhao Chen, Ling Zhang, Zhaofeng Cheng, Zhongshu Liu, Biao Luo, Xianghong Ding, Linrong Xu, Zhixing Deng, Zhiqiang Lu
    Link: https://doi.org/10.1016/j.trgeo.2024.101469TRID+1TRID+1

  • Numerical Simulation of Breakage in Geogrid-Encased Recycled Aggregate Columns with a Coupled Continuum-Discrete Method
    Year: 2024
    Authors: Xiaocong Cai, Ling Zhang, Jingpeng Tan, Meixiang Gu
    Link: https://doi.org/10.1016/j.trgeo.2024.101447TRID+1TRID+1

  • Spring-Based Trapdoor Experimental Investigation on Soil Arching of Pile-Supported Embankment Considering Arch Foot Settlement
    Year: 2025
    Authors: Ling Zhang, Jie Zhou, Shuai Zhou, Mengchao Deng, Minghua Zhao
    Link: https://zgglxb.chd.edu.cn/EN/10.19721/j.cnki.1001-7372.2025.02.009Chd.edu.cn

  • Numerical Multi-Span Segmented Trapdoor Test with Viscoelastic Boundary for Soil Arching within Pile-Supported Embankment under Cyclic Loading
    Year: 2024
    Authors: Jie Zhou, Ling Zhang, Shuai Zhou, Wei Lin, Yun-Hao Chen, Ming-Hua Zhao
    Link: https://onlinelibrary.wiley.com/doi/abs/10.1002/nag.3626Wiley Online Library+1Wiley Online Library+1

  • In Situ Investigation of the Dynamic Response and Settlement in the Expressway Culvert–Subgrade Transition Section Using a Vibration Exciter
    Year: 2023
    Authors: Zhiqiang Lu, Linrong Xu, Yunhao Chen, Yongwei Li, Na Su, Zixuan Yan, Kui Ding
    Link: https://www.mdpi.com/2076-3417/13/21/12050

 

Try Meng | Civil Engineering | Best Researcher Award

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Dr. Try Meng | Civil Engineering | Best Researcher Award

Dr. Try Meng, Autorité de sûreté nucléaire et de radioprotection (ASNR), France

Dr. Try Meng, born on December 5, 1991, in Phnom Penh, Cambodia, is a Civil Engineer with expertise in finite element methods, thermo-hydro-mechanical coupling, and non-linear concrete and steel behavior. He holds a Ph.D. in Civil Engineering from INSA-Rennes and works as a researcher at ASNR/DES/LMAPS. His research focuses on seismic behavior of nuclear reinforced concrete structures and numerical modeling of concrete containment buildings. Dr. Meng has contributed to various publications, including in Engineering Structures and Kerntechnik. He is fluent in Khmer, French, English, and Chinese. His technical skills include Castem, Fortran, Abaqus, and more. 🌍📐

 

Publication Profile

Scopus

Educational Background

Dr. Try Meng completed his Ph.D. in Civil Engineering at INSA-Rennes from 2017 to 2021, focusing on advanced engineering techniques. Prior to that, he earned a Master’s degree in Mechanical Engineering and Science for Engineers at INSA-Rennes (2016-2017). He also holds a Bachelor’s degree in Civil Engineering from the Institute of Technology Cambodia (ITC), completed between 2011 and 2016. Dr. Meng’s extensive academic background has equipped him with deep expertise in civil engineering and research, particularly in structural behavior and numerical modeling. 🎓🔧🌍

Professional Experience

Dr. Try Meng is currently a Research Engineer at ARSN/DES/LMAPS (2023-present), where he updates parameters using Bayesian approaches to analyze reinforced concrete structures under seismic loading, applying it to the SMART2013 model. He also works on explosion calculations for nuclear facility structures and impact analysis in the IMPACT projects. From 2021-2023, he worked at ASNR/DES/LMAPS and CEA/LM2S, focusing on mechanical behavior studies of nuclear reactor buildings and participated in the VERCORS benchmark and SMiRT26 conference. Earlier, Dr. Meng worked in civil and mechanical engineering research, publishing articles and completing internships on hybrid columns and structural analysis. 🔬🏗️

Technical Skills

Dr. Try Meng is a Civil Engineering Research Engineer specializing in finite element methods, thermo-hydro-mechanical coupling, and nonlinear behavior of concrete (damage models) and stainless steel (elasto-plasticity models). He works on nuclear reactor building simulations and leakage rate post-processing. In industry, he performs reinforced concrete and steel structure calculations based on Eurocode 2 and 3, including beam and column section design and reinforcement. He is fluent in Khmer (native), French (B1), English (TOEFL 500), and Chinese (B1). His technical expertise includes Castem, Fortran, MFront, Matlab, Abaqus, AutoCAD, and Latex. 💻🔧

Research Focus

Dr. Try Meng specializes in numerical modeling and mechanical behavior of prestressed reinforced concrete structures in the context of nuclear engineering. His research focuses on creep, aging, and leakage phenomena, particularly in concrete containment buildings, and applies these studies to real-world mock-ups like VERCORS. He also explores thermo-hydro-mechanical modeling to study the impact of climatic actions on buildings with internal insulation and thermal breaks. His expertise bridges structural mechanics, concrete technology, and climate impact studies for energy infrastructure and building performance. 🌍🏗️

Publication Top Notes

  • “Numerical modelling of creep, aging, and leakage of the prestressed reinforced concrete structure. Application to concrete containment building” (2024) – Kerntechnik 🏗️
  • “Numerical methodology on prestressed reinforced concrete containment building: Creep, aging, and leakage. Application to VERCORS mock-up” (2023) – Engineering Structures 🏢 – 8 citations
  • “Effect of climatic actions on buildings with internal insulation and thermal breaks: Multi-scale approach and thermo-hydro-mechanical modeling” (2021) – World Congress in Computational Mechanics and ECCOMAS Congress 🌍
Conclusion

Dr. Try Meng’s innovative research in structural engineering, particularly in nuclear reactor buildings, along with his advanced simulation techniques (such as FEM and Bayesian methods), makes him a strong contender for the Best Researcher Award. His academic credentials, ongoing research contributions, and impact on the field underscore his suitability for this award.

 

 

Chaminda Gallage | Pavement Engineering | Best Researcher Award

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Assoc Prof Dr. Chaminda Gallage | Pavement Engineering | Best Researcher Award

Assoc Prof Dr. Chaminda Gallage, Queensland University of Technology (QUT), Australia

Assoc. Prof. Dr. Chaminda Gallage is an esteemed geotechnical engineer and academician 🎓. With a Ph.D. from the University of Tokyo 🇯🇵, he holds key positions at QUT, Australia 🇦🇺, where he mentors and leads research in civil and environmental engineering. Recognized for groundbreaking work in real-time landslide prediction, he has earned numerous accolades, including the Australian Geomechanics Award 🏆 and QUT Science and Engineering Faculty Award 🥇. Dr. Gallage’s dedication extends beyond academia; he’s a valued member of prestigious societies like IGS and AGS, contributing significantly to the field of geotechnical engineering.

 

Publication Profile:

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Academic Qualification :

Dr. Chaminda Gallage boasts a stellar academic background 📚, with a Ph.D. and Master’s in Geotechnical Engineering from the University of Tokyo 🇯🇵. His pioneering Ph.D. research focused on real-time prediction of rain-induced embankment failure, utilizing minimal measurements and sophisticated back-analysis techniques. Prior to his doctoral studies, he delved into the complexities of time-dependent properties of liquefied sand for his Master’s thesis. This academic journey began with a Bachelor’s degree with First Class Honours in Civil Engineering from the University of Peradeniya 🇱🇰, Sri Lanka. Dr. Gallage’s academic prowess and research contributions have significantly enriched the field of geotechnical engineering.

 

Awards and Honors:

Dr. Chaminda Gallage’s exemplary contributions to geotechnical engineering have been widely recognized through a plethora of prestigious awards 🏆. Notably, his paper on real-time landslide prediction earned him the esteemed Australian Geomechanics Award in 2018. His outstanding research and teaching achievements were acknowledged with the QUT Science and Engineering Faculty Award the same year. Dr. Gallage’s commitment to mentoring is evident in certificates recognizing his supervision of doctoral theses awarded by QUT. Additionally, he has been honored with several best paper awards at international conferences, highlighting his significant impact on the field.

 

Research Focus:

Dr. Chaminda Gallage’s research primarily focuses on geotechnical engineering 🏗️, with a special emphasis on soil mechanics, unsaturated soil behavior, and geosynthetics. His extensive body of work encompasses studies on soil-water characteristic curves, hydraulic conductivity, embankment stability, and landslide prediction. Through laboratory experiments and field investigations, he delves into the intricate interactions between soil properties, environmental factors, and engineering structures. Additionally, his research extends to the performance evaluation of pavement materials, structural damage detection methods, and blast response analysis of underground structures. Dr. Gallage’s multidisciplinary approach contributes significantly to advancing knowledge and practices in geotechnical engineering and related fields.

 

Publication Top Notes:

  1. Effects of dry density and grain size distribution on soil-water characteristic curves of sandy soils📝 Cited by 194, 2010
  2. Laboratory measurement of hydraulic conductivity functions of two unsaturated sandy soils during drying and wetting processes 📝 Cited by 147, 2013
  3. Function of permeable geosynthetics in unsaturated embankments subjected to rainfall infiltration 📝 Cited by 88, 2007
  4. Blast response of segmented bored tunnel using coupled SPH–FE method 📝 Cited by 73, 2015
  5. Soil moisture monitoring at the field scale using neutron probe 📝 Cited by 70, 2014
  6. Direct shear testing on unsaturated silty soils to investigate the effects of drying and wetting on shear strength parameters at low suction 📝 Cited by 62, 2016
  7. An improved modal strain energy method for structural damage detection, 2D simulation📝 Cited by 53, 2015
  8. Assessment of recycled concrete aggregates as a pavement material 📝 Cited by 52, 2014
  9. Performance characteristics of recycled concrete aggregate as an unbound pavement material 📝 Cited by 47, 2019
  10. Effects of reclaimed asphalt materials on geotechnical characteristics of recycled concrete aggregates as a pavement material 📝 Cited by 46, 2019

 

Arun Kumar Ammasi | Civil Engineering | Best Researcher Award

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Dr.Arun Kumar Ammasi | Civil Engineering | Best Researcher Award

Dr.Arun Kumar Ammasi, Vellore Institute of Technology, Chennai, India

Dr. Arun Kumar Ammasi is a dedicated researcher and educator with a robust background in civil engineering. His research focuses on innovative applications of concrete materials, including the incorporation of plastic, rubber, and electronic wastes into concrete production. His work extends to using treated sewage sludge in manufacturing bricks, pavement, and solid blocks, contributing to sustainable construction practices. Dr. Ammasi explores Engineered Cementitious Composites (ECC) and Smart Dynamic Concrete (SDC) for enhanced structural performance. Additionally, his expertise encompasses the utilization of coal combustion products and the development of engineered geo-polymeric cementitious composites. In teaching, he emphasizes advanced concrete technology, construction materials, structural analysis, and more. Dr. Ammasi employs a dynamic teaching methodology, incorporating Project-Based Learning (PBL) and Research-Based Learning (RBL) to engage students effectively. He adopts a flipped classroom pedagogy, integrates contemporary assignments, and emphasizes continuous assessment for comprehensive learning. As the Head of the Department for Civil and Structural Engineering at VIT Chennai Campus, Dr. Ammasi also excels in administrative roles, demonstrating leadership and commitment to academic excellence. 🏗️🔬📚

Publication Profile:

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Education:

Dr. Arun Kumar Ammasi’s academic journey reflects a profound commitment to excellence in civil engineering. He completed his Doctor of Philosophy, focusing on the effects of fly ash on concrete properties, through an integrated Ph.D. program at VIT University from 2009 to 2015. 🏗️ His undergraduate studies were equally impressive, earning a Doctor of Philosophy (Ph.D.) Integrated degree with a remarkable 8 CGPA from Vellore Institute of Technology. 📚 Dr. Ammasi’s foundation in civil engineering began with a B.Tech. degree from Sona College of Technology, Anna University, Chennai, where he achieved an outstanding overall percentage of 81%. 🎓 His academic prowess extends to his secondary education, showcasing exceptional performance in physics, chemistry, mathematics, and biology. 🏫

Research Experience:

During his tenure as a Research Assistant at VIT University from 2009 to 2014, Dr. Arun Kumar Ammasi delved into innovative studies in green concrete 🌱. His research encompassed experimental investigations, evaluating the viability of substituting traditional components with coal ashes. Through meticulous analysis, he assessed concrete strength, durability, and cost-effectiveness, contributing significantly to sustainable construction practices. Dr. Ammasi’s expertise extended to developing predictive models for drying shrinkage in green concrete over a decade, enhancing long-term performance. Additionally, he pioneered the manufacture of artificial cold-bonded fly ash aggregates, a breakthrough in designing high-strength green concrete structures. 🧪🔬

Teaching Experience:

As an Associate Professor at VIT University Chennai Campus since July 2014, Dr. Arun Kumar Ammasi has demonstrated a passion for imparting knowledge in civil engineering disciplines 🏫. His extensive teaching portfolio includes courses for both B.Tech. Civil Engineering and M.Tech. Structural Engineering programs. Dr. Ammasi’s expertise encompasses a wide array of subjects such as Advanced Concrete Technology, Structural Analysis, and Finite Element Analysis, among others. 📚 Additionally, his role as a Teaching Assistant from 2010 to June 2014 involved conducting laboratory classes, where he facilitated hands-on learning experiences in RCC, limit state design of steel and concrete, and finite element analysis using Auto CAD, Staad Pro, and FORTRAN. 🖥️🧱

Awards:

Dr. Arun Kumar Ammasi’s contributions to the field of civil engineering have been recognized through several prestigious awards 🏆. Notably, he received the Best Paper Award at the IEEE conference held at EGS Pillay Engineering College, Nagapattinam, in March 2013, affirming the quality and significance of his research. Furthermore, Dr. Ammasi has been honored with Research Publication Awards for his publications in international peer-reviewed journals, spanning the years 2012, 2013, 2015, 2016, and 2017. These accolades underscore his dedication to producing impactful scholarly work and advancing knowledge in his field. 📝🌐

 Research Focus :

Dr. Arun Kumar Ammasi’s research focus primarily lies in sustainable construction materials and innovative applications in civil engineering 🌱. He has made significant contributions to the utilization of industrial by-products such as fly ash and sewage sludge in concrete production, emphasizing the enhancement of strength and durability while promoting environmental sustainability. Additionally, Dr. Ammasi’s work extends to eco-efficiency evaluations of self-compacting concrete using unconventional materials like magnesite mine waste, further highlighting his commitment to advancing eco-friendly construction practices. Through his interdisciplinary research efforts, he continually seeks to address contemporary challenges in the construction industry, paving the way for more sustainable and resilient infrastructure solutions. 🏗️🔬

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