Ishini Saparamadu | Construction AI | Young Innovator Award

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Ms. Ishini Saparamadu | Construction AI | Young Innovator Award

CEO at Concolabs, Sri Lanka

P V Ishini Nimasha Saparamadu is a dynamic and innovative researcher and enterprise AI solutions engineer specializing in digital transformation for the construction industry. She is currently affiliated with the University of Moratuwa, Sri Lanka, and Intelligent Label Solutions. Her work stands at the intersection of artificial intelligence, natural language processing (NLP), and construction law, contributing significantly to the advancement of smart construction technologies. As the founder of Concolabs (Pvt) Ltd, she has conceptualized and delivered pioneering digital tools such as Roboclause and MeasureonAir, aimed at enhancing the efficiency and accuracy of contract interpretation and project management processes. Her academic achievements, professional innovations, and research initiatives underscore her commitment to driving AI-powered change in traditionally rigid industry sectors.

Profile

Google Scholar

Education

Ishini graduated from the University of Moratuwa with a degree in Quantity Surveying, earning an exceptional GPA of 4.02 out of 4.2, placing her among the top-performing students of her cohort. Her academic journey was marked by a strong focus on integrating digital technologies into conventional construction practices. Her undergraduate research reflected a deep curiosity for NLP and its practical applications in contract analysis, setting a strong foundation for her research career. As a student, she received multiple scholarships and accolades recognizing both her scholastic excellence and potential for innovation in the construction domain.

Experience

Professionally, Ishini has gained diverse experience in both academic and industry-focused environments. As a research assistant at the University of Moratuwa, she has led and collaborated on multiple AI-powered construction tech projects. Concurrently, she serves as an Enterprise AI Solutions Engineer at Intelligent Label Solutions, where she transforms research prototypes into real-world enterprise applications. Her key projects include cost estimation automation, ERP development, BIM model integrations, and AI-driven regulatory tools. As the founder of Concolabs, she has demonstrated her entrepreneurial acumen by designing and developing practical tools like Roboclause and MeasureonAir, used widely for contract interpretation and automated interim payment processing.

Research Interest

Ishini’s research interests lie primarily in the areas of artificial intelligence in construction, contract interpretation using natural language processing, automation of construction law practices, BIM model manipulation via AI, and the overall digital transformation of project management. She is particularly drawn to the development of affordance-led NLP frameworks, vector database-powered AI chatbots, and compliance-focused document systems. Her work explores the convergence of legaltech, construction informatics, and intelligent systems to streamline traditionally manual and error-prone processes. Through her ongoing studies, she continues to push boundaries by evaluating the efficiency of LLMs in real-time construction administration contexts.

Award

Over her academic and early professional career, Ishini has received numerous prestigious recognitions for her outstanding contributions. She was the recipient of the Robin Jones Award and the Vidyajyothi Award for the Most Outstanding Graduate, honoring her academic excellence and innovative outlook. Her undergraduate research earned the Best Undergraduate Research and Best Paper Award at the World Construction Symposium, signifying her ability to translate complex concepts into practical, impactful outcomes. Furthermore, she was recognized as a semi-finalist for the CIOB Scholarship, further validating her status as a rising star in construction research and AI innovation.

Publication

Ishini has published impactful research in top-tier indexed journals and conference proceedings. Her notable works include:

Saparamadu, P. V. I. N., & Perera, B. A. K. S. (2023). Roboclause: A Natural Language Processing-Based Chatbot for Standard Construction Contract Interpretation. Built Environment Project and Asset Management – Cited by 3 articles.

Saparamadu, P. V. I. N., et al. (2024). Compliance Management in Construction: An NLP-powered Approach for Bi-Directional Document Systems. Buildings (MDPI) – Cited by 2 articles.

Saparamadu, P. V. I. N. (2023). Affordance-led Framework for Construction Law Automation through AI. World Construction Symposium Proceedings – Cited by 4 articles.

These publications explore the fusion of contract law and AI technologies, offering practical models and frameworks applicable in real-world construction contexts. Her articles are increasingly being cited, demonstrating growing academic and professional interest in her research themes.

Conclusion

P V Ishini Nimasha Saparamadu stands at the forefront of AI transformation within the construction industry, blending her academic rigor with entrepreneurial execution. Her contributions span the development of intelligent systems for contract interpretation, legal compliance, and process automation in construction. She is an emerging thought leader whose innovations are not only academically validated but also pragmatically applied in industry. Through her publications, software tools, and collaborative efforts, she continues to redefine how AI can bridge gaps in construction law and project management. As she advances in her research and industry roles, Ishini remains committed to empowering the next generation of digital tools for construction through data, intelligence, and foresight.

Jia Kaiewei | Artificial Intelligence | Best Scholar Award

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Dr. Jia Kaiewei | Artificial Intelligence | Best Scholar Award

Professor at Liaoning Technical University, Huludao, China

Kaiwei Jia is an accomplished academician and researcher currently serving as a Professor and Doctoral Supervisor in the field of Management Science and Engineering. He also holds the role of Vice Dean at the School of Business Administration, Liaoning Technical University. His academic journey is marked by extensive contributions to teaching, research, and institutional development. As a core member of the Liaoning Provincial Teaching Guidance Committee for Finance, he plays a significant role in shaping the financial education framework in the region. With a background in Economics and Statistics, Professor Jia has emerged as a thought leader in financial econometrics and policy research. His career is defined by a blend of theoretical insight and empirical rigor, and he has guided numerous graduate and doctoral students in their academic endeavors. Through his sustained commitment to academic excellence and administrative leadership, he has made substantial contributions to the academic community and the broader field of finance and economics.

Profile

Scopus

Education

Kaiwei Jia’s educational background is deeply rooted in economics and statistics. He earned his Ph.D. in Economics after completing a rigorous postgraduate program that emphasized macroeconomic policy, financial analysis, and quantitative methods. Subsequently, he undertook postdoctoral research in Statistics, where he refined his understanding of data interpretation, econometric modeling, and the application of statistical methodologies to economic problems. This interdisciplinary training has provided him with a comprehensive toolkit for analyzing complex economic phenomena. His academic progression reflects a strong emphasis on research-driven education, equipping him with both theoretical and practical skills. His transition from postgraduate studies to postdoctoral research marked a significant shift in his academic career, allowing him to delve deeper into areas such as financial econometrics, risk modeling, and empirical policy analysis.

Experience

Throughout his career, Professor Jia has maintained an unwavering commitment to teaching and mentoring. He has designed and delivered undergraduate, master’s, and doctoral-level courses in Econometrics, Financial Risk Management, Financial Econometrics, and Financial Data Analysis. His lectures are known for their analytical depth and emphasis on real-world application, which have earned him the respect of both peers and students. Beyond the classroom, he has played a pivotal role in curriculum development and academic governance at Liaoning Technical University. As Vice Dean, he has led several institutional initiatives aimed at enhancing academic quality and fostering innovation in finance education. Additionally, his membership in the Liaoning Provincial Teaching Guidance Committee for Finance has enabled him to influence regional academic standards, ensuring that finance education remains aligned with contemporary global developments.

Research Interest

Professor Jia’s research interests span a diverse array of topics within economics and finance. He focuses on financial stability and risk management, particularly the dynamics of financial contagion and systemic risk. His work explores the governance and risk prevention mechanisms in financial institutions, combining institutional theory with quantitative modeling. Additionally, he is deeply engaged in the study of monetary policy theory and methodology, emphasizing both the rules-based and discretionary approaches to macroeconomic regulation. His research extends to econometric methods, where he utilizes advanced statistical techniques to analyze financial and economic data. More recently, he has contributed to emerging areas such as green finance and climate finance, investigating how environmental factors intersect with financial risk and investment decisions. His multidisciplinary research approach integrates macroeconomic theory, quantitative analysis, and policy insights.

Award

In recognition of his scholarly achievements and academic leadership, Professor Jia has received several prestigious awards. He was honored with the First Prize in the 7th Liaoning Provincial Outstanding Achievement Award in Statistical Sciences, which acknowledges innovative contributions in statistical research. He also received the Second Prize in the Liaoning Provincial Philosophy and Social Science Achievement Award for his impactful work in economics and financial policy. These accolades reflect both the quality and societal relevance of his research, highlighting his role as a leading scholar in his field. His award-winning work has contributed to enhancing the understanding of financial risk, policy formulation, and statistical analysis at both regional and national levels.

Publication

Kaiwei Jia has published more than 30 academic papers in respected journals indexed by SSCI and CSSCI. His recent works reflect his ongoing dedication to cutting-edge research. In 2023, he co-authored “Did the ‘double carbon’ policy improve the green total factor productivity of iron and steel enterprises? A quasi-natural experiment based on carbon emission trading pilot,” published in Frontiers in Energy Research, exploring policy impact through econometric analysis. In the same year, he contributed to Frontiers in Psychology with “Digital financial and banking competition network: Evidence from China,” which examined competitive dynamics using network models. His 2022 publications include “Construction and empirical of investor sentiment evaluation system based on partial least squares” and “Empirical research of risk correlation based on Copula function method,” both appearing in the Journal of Liaoning Technical University (Natural Science Edition). These studies utilized advanced statistical tools to analyze investor behavior and risk correlation. Another 2022 work titled “Spatiotemporal Evolution of Provincial Carbon Emission Network in China,” published on SSRN, tackled environmental finance issues using spatial network methods. These publications not only reflect his diverse expertise but also have been cited by multiple articles, indicating his work’s influence within the academic community.

Conclusion

In summary, Professor Kaiwei Jia’s academic career is characterized by a strong dedication to education, a robust portfolio of interdisciplinary research, and impactful contributions to financial policy and risk management. His dual expertise in economics and statistics has allowed him to bridge theoretical frameworks with empirical application, making his research both rigorous and relevant. Through his teaching, he has nurtured the next generation of economists and financial analysts, while his administrative leadership has helped shape academic standards in finance education. His scholarly output and recognition through awards reflect a sustained contribution to the academic and policy-making community. Professor Jia continues to explore innovative themes in green finance and systemic risk, ensuring that his research remains at the forefront of addressing contemporary economic challenges.