Sihyun An | Financial Technology | Research and Development Excellence Award

Dr. Sihyun An | Financial Technology | Research and Development Excellence Award

Hankuk University of Foreign Studies | South Korea

Dr. Sihyun An is an emerging scholar whose research bridges AI in finance, asset pricing, real estate econometrics, business analytics, sustainability, and large language models, driving innovations in data-centric financial intelligence. His work covers housing price appraisal, market transparency, sentiment-driven valuation, floor-plan complexity, green sustainability indices, rare-event market risk, and LLM-based reasoning for property markets. He has published influential studies in leading journals including Humanities and Social Sciences Communications, Chaos, Solitons and Fractals, Financial Innovation, Scientific Reports, and Annals of Nuclear Energy, contributing advances in AI-enabled valuation models, hedonic datasets, transparent ML-based appraisal, and *cross-market information dynamics. His ongoing projects span quantum simulation in asset pricing, AI-powered nuclear decommissioning intelligence, financial crash forecasting, and synthetic sentiment generation using LLMs. With 20 citations, 7 publications, and an h-index of 3, he has presented at major international conferences and earned multiple distinctions for excellence in research, data science, and innovation, underscoring his rising impact at the intersection of technology, finance, and real-estate analytics.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Bae, S., Jung, L., Nam, S., An, S., & Ahn, K. (2025). Housing price estimation and reasoning based on a large language model. In Finance and Large Language Models (pp. 27–42). Springer Nature.

An, S., Bae, S., Song, Y., & Ahn, K. (2024). Aggregated hedonic dataset with a green index: Busan, South Korea. Data in Brief, 57, 111009.

An, S., Ahn, K., Bae, J., & Song, Y. (2024). Economic impacts of a subway system: Exploring local contexts in a metropolitan area. Research in Transportation Business and Management, 56, 101188.

An, S., Kim, J., Choi, G., Jang, H., & Ahn, K. (2024). The effect of rare events on information-leading role: Evidence from real estate investment trusts and overall stock markets. Humanities and Social Sciences Communications, 11, 1628.

Byun, H., Park, J., An, S., Kim, J., Kim, J., Lee, D. Y., & Lee, B. (2024). Intelligent nuclear decommissioning solution: Code for site characterization and management of overall surveys. Annals of Nuclear Energy, 196, 110212.

Afef Jmal Maalej | Blockchain | Women Researcher Award

Mrs. Afef Jmal Maalej | Blockchain | Women Researcher Award

Mrs. Afef Jmal Maalej, Faculty of Economics and Management of Sfax – University of Sfax, Tunisia

Mrs. Afef Jmal Maalej (b. 1984, Tunisia) is an Associate Professor at the University of Sfax and a leading researcher at the ReDCAD Laboratory. 🧠 She holds a PhD in Computer Systems Engineering with highest honors and specializes in software engineering, automated testing, and blockchain security. πŸ”πŸ’» With over a decade of teaching and research, she has supervised numerous theses and contributed to cutting-edge innovations in web services and smart contract testing. πŸ“šπŸ” A multilingual academic and certified Scrum specialist, she actively integrates AI and emerging technologies into education and research

Publication Profile

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πŸŽ“ Educational Background

Mrs. Afef Jmal Maalej has demonstrated outstanding academic excellence throughout her educational journey. πŸŽ“ From 2010 to 2016, she earned her PhD in Engineering of Computer Systems from the National School of Engineers of Sfax (ENIS), University of Sfax, Tunisia, graduating with the highest honour. 🧠 Prior to that, she completed a Master’s in Systems of Information and Dedicated New Technologies (2008–2009) with distinction. πŸ“‘ Her foundational training in Computer Science Engineering (2005–2008) at the same institution also earned her top honors. πŸ’» These achievements reflect her deep commitment to excellence in computing and research.

πŸ‘©β€πŸ« Professional Experience

Mrs. Afef Jmal Maalej has built a distinguished academic and research career at the University of Sfax, Tunisia. 🌍 Since 2018, she has served as an Associate Professor, contributing to higher education and advanced research. From 2013 to 2018, she worked as a University Assistant, following her earlier role as a Contractual Assistant from 2008 to 2013. πŸ“š Since 2010, she has been an active researcher at the ReDCAD Laboratory, where she explores software engineering, system testing, and blockchain technologies. πŸ”¬ Her continuous academic engagement reflects her dedication to education, innovation, and knowledge dissemination.

πŸ“œ Training & Certifications

Mrs. Afef Jmal Maalej has actively pursued professional development through diverse certifications and training programs. πŸŽ“ In 2022, she earned certifications in Scrum Fundamentals, Machine Learning with Python (CDOSS), and ISO 21001 Standard Requirements. 🧠 Her earlier training includes the 2019 Deep Learning INDABAX, and several 2017 workshops on Big Data, IoT, Mobile Platforms, and Open Educational Resources. πŸ’» She also completed training in computer skills and citizen education via the Virtual University of Tunisia. 🌐 Notably, in 2016, she attended the Spring School on Big Data, and in 2014, explored IP rights in software.

πŸ”¬ Research Focus

Mrs. Afef Jmal Maalej’s research is deeply rooted in software engineering, focusing on model-based testing, Web services, and smart city technologies. πŸ™οΈ Her work explores security and load testing, especially in WS-BPEL compositions, IoT applications, and blockchain-based systems. πŸ”πŸ“Š She has contributed to advancing automated testing, performance evaluation, and smart contract validation using formal and resource-aware frameworks. πŸ§ͺ Her interdisciplinary efforts integrate machine learning, cybersecurity, and distributed systems, aligning her with the evolving demands of critical infrastructures and digital innovation. πŸ’‘ Her impactful research supports smarter, safer, and more resilient digital environments.

Publication Top Notes

πŸ“˜ Security testing of IoT for smart city applications: A formal approach – πŸ” Cited by 70 – πŸ“… 2020 πŸ™οΈπŸ”
πŸ“˜ Towards a model-based testing framework for IoT security – πŸ” Cited by 59 – πŸ“… 2018 πŸ§ͺπŸ™οΈ
πŸ“˜ Model-based conformance & load tests: eHealth case study – πŸ” Cited by 58 – πŸ“… 2018 πŸ₯πŸ“Š
πŸ“˜ Distributed & resource-aware load testing of WS-BPEL – πŸ” Cited by 56 – πŸ“… 2018 βš™οΈπŸŒ
πŸ“˜ Load & functional tests for SOA: A model-based approach – πŸ” Cited by 53 – πŸ“… 2016 🧩πŸ§ͺ
πŸ“˜ Automated significant load testing for WS-BPEL – πŸ” Cited by 52 – πŸ“… 2013 πŸ”„βš™οΈ
πŸ“˜ Model-based conformance testing of WS-BPEL – πŸ” Cited by 52 – πŸ“… 2012 πŸ§ͺπŸ“˜
πŸ“˜ WS-BPEL conformance testing under load conditions – πŸ” Cited by 51 – πŸ“… 2012 βš™οΈπŸ“ˆ
πŸ“˜ Review of Testing Blockchain-Oriented Software – πŸ” Cited by 29 – πŸ“… 2022 β›“οΈπŸ§ 
πŸ“˜ Limitations of WS-BPEL under load conditions – πŸ” Cited by 24 – πŸ“… 2015 πŸ“‰πŸ› οΈ
πŸ“˜ Aspect-oriented checkpointing of web services – πŸ” Cited by 23 – πŸ“… 2010 πŸ’ΎπŸ”
πŸ“˜ Evaluation of load & stress testing approaches – πŸ” Cited by 19 – πŸ“… 2015 πŸ”¬πŸ“Š
πŸ“˜ Checkpointing for orchestrated web services – πŸ” Cited by 17 – πŸ“… 2009 πŸ§΅πŸ”

Madhura K | Blockchain Technology | Best Researcher Award

Dr. Madhura K | Blockchain Technology | Best Researcher Award

Dr. Madhura K, Manipal Institute Of Technology Bengaluru, India

Dr. Madhura K is an Assistant Professor (Senior Scale) in the Department of Information & Communication Technology at MIT, Bangalore. She holds a Ph.D. from Presidency University (2022), specializing in AI-driven Content Management Systems with Blockchain integration. With 13 years of teaching and 5 years of research experience, she has contributed extensively to academia with 7 journal publications, 4 conference papers, 10 workshops, and 2 published books. Passionate about cognitive computing, AI, and blockchain, she actively explores emerging technologies to enhance digital ecosystems.

Publication Profile

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πŸŽ“ Education

Dr. Madhura K earned her B.E. in Computer Science and Engineering from Visvesvaraya Technological University, K.V.G.C.E. Sullia (2008). She further pursued her M.E. in Computer Science and Engineering from Anna University, PMC TECH-Hosur (2015). In 2022, she obtained her Ph.D. from Presidency University, focusing on AI and Blockchain-embedded Content Management Systems with cognitive processing. Her multidisciplinary academic background equips her with expertise in intelligent data systems, machine learning, and secure content distribution.

πŸ† Awards & Honors

Dr. Madhura K has been recognized for her research contributions in AI-integrated blockchain systems. She has received multiple academic accolades for her excellence in teaching and research, with awards for best paper presentations at international conferences. Her contributions to AI-driven content management and secure digital systems have earned her institutional recognition. She is an active member of scholarly communities, contributing to AI, blockchain, and cognitive computing research.

πŸ“š Experience

Dr. Madhura K has 13 years of teaching experience, mentoring students in AI, blockchain, and data systems. She has guided research scholars in advanced computing domains, emphasizing secure content management and cognitive processing. With 5 years of research experience, she has worked on AI-powered content optimization and blockchain security. Her academic journey includes publishing in reputed journals, presenting at conferences, and organizing technical workshops to bridge theoretical learning with practical applications.

πŸ”¬ Research Focus

Dr. Madhura K’s research focuses on AI-driven Content Management Systems, integrating blockchain for enhanced security and cognitive computing for intelligent processing. She explores innovative AI models to automate content organization and retrieval, improving efficiency in digital ecosystems. Her work emphasizes decentralized networks, ensuring secure and transparent content access. Additionally, she investigates the role of deep learning in enhancing natural language processing for content optimization.

Publication Top Notes

1️⃣ Analysis of residual stress in SS321 laser butt-welded plates using finite element analysis – Cited by: 12 | Year: 2024 πŸ—οΈπŸ“Š
2️⃣ Usage of blockchain in real estate business for transparency and improved security – Cited by: 7 | Year: 2022 πŸ πŸ”—
3️⃣ End2end unstructured data processing, confidential data structuring & storage using image processing, NLP, ML, and blockchain – Cited by: 3 | Year: 2022 πŸ€–πŸ”
4️⃣ Designing an optimized confidential-data management system using preeminent access-control and blockchain – Cited by: 2 | Year: 2022 πŸ”‘πŸ“‚
5️⃣ Survey on technologies, benefits, challenges, and future suggestions to improvise the data security of confidential academic records in India – Cited by: 2 | Year: 2021 πŸŽ“πŸ”’
6️⃣ Applying cryptography and blockchain technology to secure an organization’s confidential documents – Cited by: 1 | Year: 2022 πŸ”πŸ’
7️⃣ Securing the organization documents in content management system with two levels of security using encryption and blockchain technology – Cited by: 1 | Year: 2021 πŸ“πŸ”—
8️⃣ An approach for securing organizational data using blockchain and cryptography – Cited by: 1 | Year: 2020 πŸ›‘οΈπŸ’Ύ
9️⃣ IoT-based wireless networks in hospitals: Ensuring seamless communication in critical situations – Cited by: 0 | Year: 2025 πŸ₯πŸ“‘
πŸ”Ÿ Software-defined network (SDN)-based data server computing system – Cited by: 0 | Year: 2025 πŸ’ΎπŸŒ