Rabia Hassan | Computational Modeling and Simulation of FRPs | Innovative Research Award

Innovative Research Award

Rabia Hassan — Harbin Institute of Technology, Shenzhen, China

Rabia Hassan
Affiliation Harbin Institute of Technology, Shenzhen
Country China
Scopus 57617315700
Documents 8
Citations 113
h-index 6
Subject Area Computational Modeling and Simulation of FRPs
Event International Research Awards on Fiberreinforced Polymer
ORCID 0000-0002-5471-8398

Rabia Hassan is a computational materials scientist affiliated with Harbin Institute of Technology, Shenzhen, China, whose work applies density functional theory to two-dimensional transition metal dichalcogenides for electrocatalysis. She is considered here for the Innovative Research Award within the International Research Awards on Fiberreinforced Polymer.

Abstract

Rabia Hassan completed a Ph.D. in Materials Science and Engineering at Xi’an Jiaotong University, focusing on defect engineering, elemental doping and external field modulation of monolayer VSe2. Her first-principles studies examine hydrogen evolution, oxygen evolution and oxygen reduction reactions [2][3]. Earlier work addressed ionic liquids with antibacterial properties [4].

Keywords

Density functional theory; monolayer VSe2; transition metal dichalcogenides; electrocatalysis; hydrogen evolution reaction; oxygen evolution reaction; oxygen reduction reaction; defect engineering; doping; strain and electric field tuning; computational modeling; ionic liquids.

Introduction

Computational modeling helps predict advanced material behavior before costly experiments. Hassan applies density functional theory to understand how atomic-scale modifications influence catalytic activity [2]. Her path from chemistry in Pakistan to doctoral study in China moved from experimental synthesis toward first-principles simulation [5], reflected in eight Scopus-indexed documents [1].

Research Profile

Rabia Hassan holds a Ph.D. in Materials Science and Engineering from Xi’an Jiaotong University, where her thesis examined how defects, dopants and external fields alter monolayer VSe2 electrocatalysis [3]. Her expertise spans VASP-based DFT, ab initio molecular dynamics, and experimental techniques such as FTIR, UV-Vis and NMR [6].

Research Contributions

Rabia Hassan’s principal contribution is the computational study of monolayer VSe2 as an electrocatalyst, examining transition metal doping for hydrogen evolution [2] and defected monolayers for oxygen evolution and reduction [3]. She also contributed to ionic liquid research combining synthesis, biological evaluation and in silico analysis [4].Her comparative antibacterial testing of ionic liquids with octyl side chains [5] and a coauthored FTIR study using partial least squares wavenumber selection [6] extend this work. Two manuscripts on strain, electric field and vacancy engineering in doped VSe2 are in preparation.

Publications

Publications include density functional theory studies of monolayer VSe2 in the Journal of Physics and Chemistry of Solids [2] and Surface Science [3], alongside ionic liquid research in Molecules [4] and Heliyon [5]. Further FTIR-based chemometric work appears in Chemometrics and Intelligent Laboratory Systems [6]. Two manuscripts on strain and field tuning are in preparation.

Research Impact

According to Scopus, Hassan has eight indexed documents, 113 citations and an h-index of 6 [1]. Her work appears in journals including Journal of Physics and Chemistry of Solids [2], Surface Science [3] and Molecules [4], indicating peer-reviewed engagement across computational physics and chemistry. She has also taken part in international conferences, webinars and training programs on materials science, computational chemistry and research methodology, supporting continuing professional development alongside her publication record.

Award Suitability

The Innovative Research Award within the International Research Awards on Fiberreinforced Polymer recognizes computational modeling and simulation research. Hassan’s first-principles studies of defect, doping, strain and field effects demonstrate transferable simulation methods [2][3]. Her Scopus-indexed record [1] and combined computational and experimental chemistry background [4][5] support her suitability for consideration for this recognition.

Conclusion

Rabia Hassan’s research combines rigorous computational methodology with a background in experimental chemistry. Her studies of monolayer VSe2 contribute to understanding how structural and environmental modifications influence electrocatalytic behavior [2][3]. Her profile is presented here in connection with the Innovative Research Award [1].

References

  1. Elsevier. (n.d.). Scopus author details: Hassan, Rabia, Author ID 57617315700. Scopus. https://www.scopus.com/authid/detail.uri?authorId=57617315700
  2. Hassan, R., Ma, F., Li, Y., & Hassan, R. (2024). Computational investigation of hydrogen evolution reaction on transition metal-doped monolayer VSe2: A DFT approach. Journal of Physics and Chemistry of Solids, 192, 112070. https://doi.org/10.1016/j.jpcs.2024.112070
  3. Hassan, R., Hassan, R., & Ma, F. (2024). Density functional theory study on the electrocatalytic performance of defected monolayer vanadium diselenide for oxygen evolution and reduction reactions. Surface Science, 122669. https://doi.org/10.1016/j.susc.2024.122669
  4. Hassan, R., Nazir, F., Roosh, M., Qaisar, A., Habib, U., Sajini, A. A., & Iqbal, M. (2022). Synthesis, characterization, biological evaluation, and in silico studies of imidazolium-, pyridinium-, and ammonium-based ionic liquids containing n-butyl side chain. Molecules, 27(19), 6650. https://doi.org/10.3390/molecules27196650
  5. Hassan, R., Asghar, M. A., Iqbal, M., Qaisar, A., Habib, U., & Ahmad, B. (2022). Comparative evaluation of antibacterial activities of imidazolium-, pyridinium-, and phosphonium-based ionic liquids containing octyl side chains. Heliyon, 8(5), e09533. https://doi.org/10.1016/j.heliyon.2022.e09533
  6. Mehmood, T., Iqbal, M., & Hassan, R. (2020). Prediction of antibacterial activity in ionic liquids through FTIR spectrometry with selection of wavenumber by PLS. Chemometrics and Intelligent Laboratory Systems, 206, 104124. https://doi.org/10.1016/j.chemolab.2020.104124

Dongwook Kim | Computational Modeling and Simulation of FRPs | Best Researcher Award

Best Researcher Award

Dongwook Kim
Daelim Industrial Co., Ltd, South Korea

Dongwook Kim
Affiliation Daelim Industrial Co., Ltd
Country South Korea
Scopus ID 57189694073
Documents 25
Citations 125
h-index 6
Subject Area Computational Modeling and Simulation of FRPs
Event International Research Awards on Fiberreinforced Polymer

Dongwook Kim is a South Korean researcher and engineering professional affiliated with Daelim Industrial Co., Ltd. His scholarly activities focus on computational modeling, building information modeling (BIM), structural engineering, digital construction technologies, and simulation methodologies applicable to fiber-reinforced polymer and infrastructure systems. Through contributions in automated compliance checking, quality control frameworks, and intelligent prediction models, his work demonstrates an interdisciplinary approach that combines engineering practice with digital transformation initiatives in construction research.[1]

Abstract

This article presents an overview of the research activities and scholarly achievements of Dongwook Kim. His publications emphasize the integration of BIM technologies, semantic interpretation systems, automated quality control procedures, and predictive analytics for advanced infrastructure applications. The research portfolio reflects growing contributions to smart construction methodologies and computational engineering practices relevant to modern structural systems.[2]

Keywords

Computational Modeling, Building Information Modeling, Fiber-Reinforced Polymer, Smart Construction, Structural Engineering, Simulation, Digital Twin Technology.

Introduction

The increasing adoption of digital technologies in civil engineering has created opportunities for integrating computational modeling with intelligent infrastructure management. Dongwook Kim’s research aligns with this transition by developing methodologies that improve regulatory compliance verification, shape quality control, and predictive assessment of structural performance. These investigations contribute to enhanced efficiency and reliability in engineering practice.[3]

Research Profile

According to available bibliometric indicators, the researcher has produced twenty-five scholarly documents and accumulated more than one hundred citations with an h-index of six. His studies address computational modeling and simulation techniques, particularly within the domains of structural systems and digital construction management.[1]

Research Contributions

  • Development of ontology-driven semantic rule interpretation for automated regulatory compliance checking.
  • Creation of BIM-integrated frameworks for production-scale quality control of precast concrete members.
  • Application of multitask learning techniques for fatigue prediction in composite deck slabs.
  • Research on innovative connection systems for composite Rahmen bridges and construction efficiency enhancement.

Publications

  • Automated BIM-Based Regulatory Compliance Checking for Bridge Infrastructure Using Ontology-Driven Semantic Rule Interpretation: A Multi-Model Validation Study.
  • Automated BIM-Integrated 3D Laser Scanning Framework for Shape Quality Control of Precast Concrete Members.
  • Automation of Shape Quality Control for Precast Concrete Members Using 3D Scanning and BIM.
  • Multitask Learning-Based Prediction of Fatigue Performance in Steel–Concrete Composite Deck Slabs.
  • Corrugated Inner Wall Connections for Composite Rahmen Bridges: Advancing Design and Construction Efficiency.

Research Impact

The research outputs of Dongwook Kim contribute to the advancement of intelligent infrastructure systems by enabling automated decision-making and improving the precision of engineering workflows. The integration of machine learning and BIM methodologies provides practical implications for construction productivity, quality assurance, and sustainable infrastructure management.[4]

Award Suitability

The combination of interdisciplinary scholarship, publication productivity, and measurable citation performance indicates that Dongwook Kim demonstrates qualifications consistent with the objectives of the International Research Awards on Fiberreinforced Polymer. His investigations into computational simulation and digital construction frameworks support the broader advancement of engineering research and innovation.[5]

Conclusion

Dongwook Kim’s body of work reflects a sustained commitment to computational engineering, intelligent infrastructure systems, and advanced construction technologies. His publications and research outcomes illustrate the growing role of digital methodologies in structural engineering and provide a foundation for future developments in smart and resilient infrastructure systems.[6]

References

  1. Elsevier. (n.d.). Scopus author details: Dongwook Kim, Author ID 57189694073. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57189694073
  2. Kim, D. (2026). Automated BIM-Integrated 3D Laser Scanning Framework for Shape Quality Control of Precast Concrete Members.
    https://doi.org/10.3390/buildings16122383
  3. Kim, D. (2026). Automation of Shape Quality Control for Precast Concrete Members Using 3D Scanning and BIM.
  4. Kim, D. (2026). Multitask Learning-Based Prediction of Fatigue Performance in Steel–Concrete Composite Deck Slabs.
    https://doi.org/10.12989/sss.2026.37.4.301
  5. Kim, D. (2025). Corrugated Inner Wall Connections for Composite Rahmen Bridges: Advancing Design and Construction Efficiency.
    https://doi.org/10.1016/j.kscej.2025.100195
  6. International Research Awards on Fiberreinforced Polymer. (n.d.). Award information and recognition criteria.
    fiberreinforcedpolymer.com