Qinxu Ding | Machine Learning and AI Applications | Best Researcher Award

Dr. Qinxu Ding | Machine Learning and AI Applications | Best Researcher Award

Dr. Qinxu Ding at Singapore University of Social Sciences, Singapore

PROFILES👨‍🎓

EARLY ACADEMIC PURSUITS 📚

This accomplished individual began their academic journey with a B.S. in Information and Numerical Science from Nankai University, Tianjin, China, graduating in July 2015 with an impressive GPA of 89/100. Their undergraduate studies laid a strong foundation in Mathematical Statistics, Probability Theory, and Data Mining, which paved the way for further academic exploration. They pursued a Ph.D. in Computational Mathematics at Nanyang Technological University, completing their thesis on Numerical Treatment of Certain Fractional and Non-fractional Differential Equations in April 2020.

PROFESSIONAL ENDEAVORS 💼

Currently, this individual serves as a Lecturer and DBA Supervisor in the Finance Programme at the Business School of the Singapore University of Social Sciences (SUSS) since July 2021. Their teaching portfolio includes various fintech courses such as Machine Learning and AI for FinTech, Blockchain Technology, and Risk Management for Finance and Technology. Prior to this role, they were a Research Fellow at the Alibaba-NTU Singapore Joint Research Institute, focusing on Explainable Artificial Intelligence.

CONTRIBUTIONS AND RESEARCH FOCUS 🔍

Their research interests lie at the intersection of applied machine learning, computational mathematics, and blockchain technology in fintech. They have made significant contributions through publications in top-tier AI conferences, including ICLR, NeurIPS, AAAI, and CIKM, as well as prestigious journals in computational mathematics and fintech.

IMPACT AND INFLUENCE 🌟

The individual has played a pivotal role in enhancing the understanding of machine learning models and their applicability in real-world financial scenarios. Their work on adversarial attacks in deep neural networks and the development of explainable AI frameworks has positioned them as a thought leader in the field, influencing both academic and industrial practices.

ACADEMIC CITES 📖

Their groundbreaking research has been recognized in multiple high-impact venues, highlighting their innovative approaches to complex problems in fintech. Notable publications include works on adversarial defenses, counterfactual explanations, and recommendation systems, reflecting a robust commitment to advancing knowledge in AI and fintech.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

As a Chartered Fintech Professional and a member of various academic committees, this individual continues to contribute to the fintech community. Their involvement in organizing the Global Web3 Eco Innovation Summit 2022 illustrates their dedication to fostering innovation and collaboration in the fintech space. Looking ahead, they aim to further bridge the gap between academia and industry, shaping the future of fintech through research and education.

TOP NOTED PUBLICATIONS 📖

Stable neural ode with lyapunov-stable equilibrium points for defending against adversarial attacks
    • Authors: Q. Kang, Y. Song, Q. Ding, W. P. Tay
    • Journal: Advances in Neural Information Processing Systems
    • Year: 2021
Non-polynomial Spline Method for Time-fractional Nonlinear Schrödinger Equation
    • Authors: Q. Ding, P. J. Y. Wong
    • Journal: 15th International Conference on Control, Automation, Robotics and …
    • Year: 2018
A hybrid bandit framework for diversified recommendation
    • Authors: Q. Ding, Y. Liu, C. Miao, F. Cheng, H. Tang
    • Journal: Proceedings of the AAAI Conference on Artificial Intelligence
    • Year: 2021
Quintic non-polynomial spline for time-fractional nonlinear Schrödinger equation
    • Authors: Q. Ding, P. J. Y. Wong
    • Journal: Advances in Difference Equations
    • Year: 2020
A survey on decentralized autonomous organizations (DAOs) and their governance
    • Authors: Q. Ding, D. Liebau, Z. Wang, W. Xu
    • Journal: World Scientific Annual Review of Fintech
    • Year: 2023
The skyline of counterfactual explanations for machine learning decision models
    • Authors: Y. Wang, Q. Ding, K. Wang, Y. Liu, X. Wu, J. Wang, Y. Liu, C. Miao
    • Journal: Proceedings of the 30th ACM International Conference on Information …
    • Year: 2021

Susan Stead | Technology Innovation | Best Researcher Award

Dr. Susan Stead , Technology Innovation, Best Researcher Award

Doctorate at RWTH University, Institute for Technology and Innovation Management, Germany

Google Scholar Profile
Scopus Profile

🌟Summary

Dr. Susan Stead is an Assistant Professor at RWTH Aachen University, specializing in Healthcare and Service Innovation. She serves as Managing Director of the Healthcare Innovation Lab and Digital Responsibility Lab at the Institute for Technology and Innovation Management. Her interdisciplinary research focuses on multisensory customer service experiences and the integration of artificial intelligence in healthcare.

🎓Education

  • Ph.D., Maastricht University, the Netherlands, 2020 Dissertation: “The Power of Senses: Unraveling Multisensory Customer Service Experiences”
  • M.Sc., International Business – Strategic Marketing (cum laude), Maastricht University, the Netherlands, 2014
  • B.B.A., Business Administration, Zuyd University of Applied Science, Maastricht, the Netherlands, 2013

💼 Professional Experience

Dr. Susan Stead brings over a decade of expertise in academia and research, currently serving as an Assistant Professor at RWTH Aachen University. Since joining RWTH Aachen in 2020, she has held pivotal roles including Managing Director of the Healthcare Innovation Lab and Digital Responsibility Lab at the Institute for Technology and Innovation Management. Dr. Stead’s career is marked by her leadership in interdisciplinary research, focusing on healthcare and service innovation. She has played a crucial role in advancing the understanding of multisensory customer service experiences and integrating artificial intelligence into healthcare practices. Her contributions extend to mentoring young talents in AI through her involvement with AI Grid and serving as a faculty board member at RWTH Aachen University.

🔬 Research Interests

Dr. Susan Stead’s research interests span the domains of healthcare and service innovation, with a particular emphasis on multisensory customer experiences and the application of artificial intelligence in healthcare settings. Her work explores how sensory modalities impact customer interactions and satisfaction, aiming to enhance service delivery across various industries. Dr. Stead is also passionate about digital transformation in service sectors, investigating how emerging technologies can optimize operational efficiencies and improve patient care outcomes. Her interdisciplinary approach integrates insights from service design, innovation management, and AI ethics, contributing to the development of future-focused strategies in healthcare innovation.

📖 Publication Top Noted

Application of artificial intelligence systems in the emergency room: Do the communication patterns give indications for possible starting points? An observational study

    • Authors: Tjardes, T., Meyer, L.M., Lotz, A., Stead, S., Walossek, N.
    • Journal: Unfallchirurgie (Germany)
    • Volume: 126
    • Issue: 7
    • Pages: 552–558
    • Year: 2023

Hospital resource endowments and nosocomial infections: longitudinal evidence from the English National Health Service on Clostridioides difficile between 2011 and 2019

    • Authors: Stead, S., Vogt, L., Antons, D., Klasen, M., Sopka, S.
    • Journal: Journal of Hospital Infection
    • Volume: 134
    • Pages: 129–137
    • Year: 2023

It is Really Not a Game: An Integrative Review of Gamification for Service Research

    • Authors: Ciuchita, R., Heller, J., Köcher, S., Sidaoui, K., Stead, S.
    • Journal: Journal of Service Research
    • Volume: 26
    • Issue: 1
    • Pages: 3–20
    • Year: 2023

The Inscrutable New Actor: An Employee Perspective on the Flipside of AI

    • Authors: Stead, S.
    • Conference: International Conference on Information Systems (ICIS 2023)
    • Year: 2023

Toward Multisensory Customer Experiences: A Cross-Disciplinary Bibliometric Review and Future Research Directions

    • Authors: Stead, S., Wetzels, R., Wetzels, M., Odekerken-Schröder, G., Mahr, D.
    • Journal: Journal of Service Research
    • Volume: 25
    • Issue: 3
    • Pages: 440–459
    • Year: 2022