Jingteng Liu | Business Analytics | Best Researcher Award

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Mr. Jingteng Liu | Business Analytics | Best Researcher Award

ESADE Business School, Spain

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🎓 Early Academic Pursuits

Mr. Jingteng Liu’s academic journey began at Northwestern Polytechnical University, where he studied Software Engineering. After completing two years, he transferred to Arizona State University (ASU), where he pursued a Bachelor of Science in Computational Mathematical Sciences from 2017 to 2022. Alongside this, he obtained a Certification in Applied Business Data Analytics (2018-2022). During this period, Mr. Liu laid the foundation for his academic success by immersing himself in subjects that bridged computer science, mathematics, and business analytics.

đŸ’Œ Professional Endeavors

Mr. Liu’s career has been marked by various leadership roles, with a strong focus on data analysis, machine learning, and business strategy. As Co-Founder of Hans & Associates LLC since May 2017, he formulated and executed comprehensive business strategies that helped transition the start-up into a stable organization. This experience helped him hone his strategic thinking, resource optimization, and market analysis skills. His involvement with Amazon Web Services (AWS) as a Professional Service Intern in 2020 allowed him to work on advanced machine learning models, particularly enhancing predictive analysis and using optimization algorithms. His professional journey has provided him with a wealth of experience, particularly in data-driven decision-making and strategic innovation.

📚 Contributions and Research Focus

Throughout his academic and professional career, Mr. Liu has contributed significantly to data-driven research. Notably, his research as a Barrett College Fellow at ASU in 2019-2022 focused on understanding consumer behavior and the preferences of hydrogen vehicle owners in California. He applied multinomial logistic regression and null hypothesis significance testing to evaluate the factors influencing gas station choices. Mr. Liu also contributed as a Research Assistant at ASU, co-authoring a published paper on mathematical modeling for cancer treatment responses. His research focus has consistently centered on the intersection of data analytics, machine learning, and their applications in real-world challenges.

🌍 Impact and Influence

Mr. Liu’s diverse experiences in data analytics, machine learning, and business strategy have had a significant impact on both academic and professional fields. His work with Amazon on developing predictive models and enhancing customer trend analysis reflects a deep understanding of how technology can transform business outcomes. Additionally, his entrepreneurial work in founding Hans & Associates and MiStraws demonstrates his ability to leverage data-driven insights for sustainable business growth. His contributions have influenced the development of strategic innovation, particularly in the use of AI to drive market forecasting and customer behavior analysis.

📑 Academic Citations

One of Mr. Liu’s key academic achievements was his co-authorship of a published paper titled “Clinical Data Validated Mathematical Model for Intermittent Abiraterone Response in Castration-Resistant Prostate Cancer Patients”. The research, published by SIAM Undergraduate Research Online, highlights his ability to apply complex mathematical models in the context of healthcare and medicine, contributing to the field of computational oncology. This paper demonstrates his expertise in applied mathematics and its real-world applications in clinical data analysis.

đŸ’» Technical Skills

Mr. Liu possesses an extensive range of technical skills that span across programming languages, data analysis tools, and machine learning frameworks. Some of his core skills include proficiency in Python, SQL, and R, as well as expertise in machine learning algorithms and models such as BERT, Amazon Comprehend, and optimization techniques. He is also well-versed in Excel, Tableau, and Power BI, enabling him to deliver actionable insights from large datasets. These technical skills have been pivotal in his roles, particularly in optimizing business processes and enhancing predictive capabilities.

đŸ‘šâ€đŸ« Teaching Experience

While Mr. Liu has not held formal teaching positions, his experiences as a research assistant and fellow at ASU have allowed him to contribute significantly to the academic community. His work on data analysis and research methodologies would have provided valuable mentorship to students and colleagues alike. His ability to communicate complex topics like statistical modeling and machine learning reflects his potential to make a meaningful impact in academia as a future educator.

🌟 Legacy and Future Contributions

Looking forward, Mr. Liu’s trajectory indicates his potential to become a key thought leader in the areas of AI-driven business analytics and strategic innovation. His multidisciplinary expertise in data science, machine learning, and business strategy positions him well to drive cutting-edge innovation in industries ranging from technology to healthcare. He envisions contributing to the advancement of AI and analytics solutions, developing models that offer enhanced business intelligence, operational efficiency, and predictive capabilities. His future contributions are poised to leave a lasting legacy, particularly in fostering sustainable business growth through data-driven decision-making and AI optimization.

Top Noted Publications 📖

  • Hydrogen Fuel Cell Vehicle Adopters Geographically Evaluate a Network of Refueling Stations in California
    • Authors: S Kelley, A Krafft, M Kuby, O Lopez, R Stotts, J Liu
    • Journal: Journal of Transport Geography
    • Year: 2020
  • Clinical Data Validated Mathematical Model for Intermittent Abiraterone Response in Castration-Resistant Prostate Cancer Patients
    • Authors: J Bennett, X Hu, K Gund, J Liu, A Porter
    • Journal: SIAM Undergraduate Research Online
    • Year: 2021
  • Extreme Heat Effects on Electric Vehicle Energy Utilization and Driving Range
    • Authors: NC Parker, M Kuby, J Liu, EB Stechel
    • Journal: Available at SSRN
    • Year: 2024

Naiwei Lu | Data Analysis | Best Researcher Award

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Assoc Prof Dr. Naiwei Lu | Data Analysis | Best Researcher Award

Changsha University of Science of Technology, China

Author Profiles

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Research Gate

đŸ‘šâ€đŸ« Associate Prof. Dr. Naiwei Lu

Assoc. Prof. Dr. Naiwei Lu is an Associate Professor in Civil Engineering at Changsha University of Science and Technology (CSUST), China. His research primarily focuses on reliability and safety in bridge engineering. He has a strong background in system reliability evaluation, fatigue analysis, and structural health monitoring, which he applies to the engineering and maintenance of long-span bridges. Dr. Lu is an active member of various international research communities and has been involved in multiple national and international projects.

🎓 Education Background

Dr. Naiwei Lu earned his Ph.D. in Civil Engineering from Changsha University of Science and Technology (CSUST) in 2015, under the supervision of Prof. Yang Liu. Prior to that, he completed his Master’s degree in Civil Engineering in 2011 and his Bachelor’s degree in Bridge Engineering in 2008, all at CSUST, Changsha, China. His academic journey laid a strong foundation for his expertise in bridge engineering and reliability analysis.

đŸ’Œ Employment and Research Experience

Dr. Lu’s academic career began in 2015 when he became a Postdoctoral Researcher at Southeast University in Nanjing, China, where he worked under Prof. Mohammad Noori. He also held a Postdoctoral Researcher position at Leibniz University Hannover, Germany, working with Prof. Michael Beer. Since 2020, Dr. Lu has been serving as an Associate Professor at CSUST, where he also previously worked as a Lecturer from 2017 to 2019. His diverse academic and international experiences contribute to his deep expertise in bridge engineering.

💰 Research Funding

Dr. Lu has been the Principal Investigator (PI) of several funded research projects, including the National Science Funding in China for research on structural health monitoring of suspension bridges and the fatigue reliability evaluation of steel bridge decks. He has received significant funding support for his work in system reliability and dynamic analysis, with total funding exceeding „1 million for his various research initiatives. These projects aim to develop advanced methods for assessing the reliability and safety of long-span bridges.

🔍 Research Interests

Dr. Lu’s research spans several cutting-edge topics in structural engineering. His main research interests include system reliability evaluation of long-span bridges using intelligent algorithms đŸ€–, fatigue reliability of stay cables and orthotropic steel bridge decks 🌉, and probabilistic modeling using data from structural health monitoring 📊. He is also focused on intelligent maintenance and management of in-service bridges ⚙, as well as uncertainty quantification in structural engineering đŸ› ïž.

📚 Teaching Experience

As an educator, Dr. Lu teaches undergraduate courses such as Principle of Structural Design (in both Chinese and English) and Building Information Modeling (BIM) Technology (in Chinese). He has supervised 24 undergraduate students and 4 postgraduate students between 2017 and 2020, guiding them in various aspects of civil engineering, particularly related to bridge design, maintenance, and reliability.

đŸ—ïž Engineering Activities

In addition to his academic role, Dr. Lu is a Registered Construction Engineer and a Registered Inspection Engineer in Municipal Engineering and Bridge & Tunnel Engineering, respectively. His engineering activities include overseeing the structural safety of long-span bridges during construction đŸ—ïž, conducting structural health monitoring of suspension bridges 🌉, and contributing to the detection and reinforcement of aging bridges đŸ› ïž. He has also been involved in the advance geological forecasting and monitoring of tunnels during construction, working on over five extra-long tunnels.

Dr. Naiwei Lu’s work integrates advanced intelligent algorithms, data-driven methods, and structural health monitoring to enhance the safety, reliability, and longevity of bridges and infrastructure systems. His research and engineering expertise continue to make significant contributions to the field of civil engineering.

📖Top Noted Publications 

Structural damage diagnosis of a cable-stayed bridge based on VGG-19 networks and Markov transition field: numerical and experimental study

Authors: Naiwei Lu, Zengyifan Liu, Jian Cui, Lian Hu, Xiangyuan Xiao, Yiru Liu

Journal: Smart Materials and Structures

Year: 2025

Coupling effect of cracks and pore defects on fatigue performance of U-rib welds

Authors: Yuan Luo, Xiaofan Liu, Fanghuai Chen, Haiping Zhang, Xinhui Xiao, Naiwei Lu

Journal: Structures

Year: 2025

A Time–Frequency-Based Data-Driven Approach for Structural Damage Identification and Its Application to a Cable-Stayed Bridge Specimen

Authors: Naiwei Lu, Yiru Liu, Jian Cui, Xiangyuan Xiao, Yuan Luo, Mohammad Noori

Journal: Sensors

Year: 2024

A Novel Method of Bridge Deflection Prediction Using Probabilistic Deep Learning and Measured Data

Authors: Xinhui Xiao, Zepeng Wang, Haiping Zhang, Yuan Luo, Fanghuai Chen, Yang Deng, Naiwei Lu, Ying Chen

Journal: Sensors

Year: 2024

Experimental and numerical investigation on penetrating cracks growth of rib-to-deck welded connections in orthotropic steel bridge decks

Authors: Zitong Wang, Jun He, Naiwei Lu, Yang Liu, Xinfeng Yin, Haohui Xin

Journal: Structures

Year: 2024

Fatigue Reliability Assessment for Orthotropic Steel Decks: Considering Multicrack Coupling Effects

Authors: Jing Liu, Yang Liu, Guodong Wang, Naiwei Lu, Jian Cui, Honghao Wang

Journal: Metals

Year: 2024

Maame Yaa Yiadom | Data collection | Women Researcher Award

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Dr. Maame Yaa Yiadom | Data collection | Women Researcher Award

Stanford University, United States

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Orcid

Early Academic Pursuits 🎓

Dr. Maame Yaa Yiadom’s academic journey began at Princeton University, where she earned her undergraduate degree in Public Health Policy and International Affairs, with a certificate in African Studies. This laid a strong foundation for her later research and clinical work in global health. Her commitment to expanding her expertise led her to advanced studies at Johns Hopkins School of Public Health and Harvard School of Public Health, where she obtained her Master of Public Health degree and further honed her focus on health systems and population health. Dr. Yiadom’s academic progression continued with a Doctor of Medicine degree from Robert Wood Johnson Medical School, solidifying her clinical expertise in emergency medicine.

Professional Endeavors & Contributions 🔬

Dr. Yiadom’s career spans over two decades and has seen her contribute in both administrative and clinical roles across multiple health systems. As a physician-scientist, she has focused on translating research into clinical practice through program development, health system optimization, and change management. Her research efforts are centered on improving clinical care delivery, with a particular emphasis on emergency medicine and health equity. She has led pivotal projects involving digital health integration, clinical practice epidemiology, and healthcare innovation, with significant contributions to artificial intelligence and algorithmic equity in health systems.

Throughout her career, she has applied a mix of analytical strategies and leadership to tackle issues like healthcare efficiency, financial sustainability, and clinical effectiveness, particularly in emergency departments across the U.S. and internationally. Her leadership roles in organizations like the Emergency Department Benchmarking Alliance (EDBA) and the Health Equity Action Leadership (HEAL) Network highlight her commitment to advancing healthcare innovation and equity. Additionally, her involvement in research grants and mentorship has further fueled the development of the next generation of health leaders.

Research Focus & Impact 📊

Dr. Yiadom’s research efforts are particularly focused on healthcare delivery operations, clinical workflows, and health equity, with ongoing projects spanning North America, Europe, and Africa. She leads a highly impactful lab, the Emergency Care Health Service Research Data Coordinating Center (HSR-DCC), which aims to improve clinical practice and workflow integration through cutting-edge digital health technologies. Through collaborations with multiple international institutions, Dr. Yiadom has made substantial contributions to improving emergency care systems and advancing equitable healthcare access across diverse populations. Notably, her projects tackle key issues such as algorithmic fairness and clinical decision support using artificial intelligence, particularly in heart attack screening.

Academic Citations & Recognition 📚

As a physician-scientist, Dr. Yiadom has gained recognition in the field for her contributions to research, evidenced by her leadership roles in numerous initiatives and her consistent engagement with funding bodies. Her work has earned citations in major academic journals, cementing her as a key figure in emergency medicine and health system research. Through her collaborations, both national and international, Dr. Yiadom has been integral in publishing impactful work on topics such as clinical data analytics, health policy reform, and healthcare access for underserved populations.

Technical Skills & Teaching Experience đŸ’»

Dr. Yiadom’s technical skills are vast and varied, including expertise in clinical informatics, data analytics, and the integration of digital health tools into clinical environments. Her work in developing data-driven solutions to healthcare challenges has placed her at the forefront of innovative healthcare technologies. In her teaching roles, she has mentored numerous advanced trainees and faculty, providing guidance in research, clinical practice, and leadership development. Her educational impact extends beyond the classroom, as she also actively engages in mentorship programs, ensuring that the next generation of physicians and researchers is equipped to handle the evolving landscape of healthcare.

Legacy & Future Contributions 🔼

Dr. Yiadom’s legacy is rooted in her unwavering commitment to improving healthcare delivery, with a particular focus on emergency care, health equity, and digital health innovation. As she continues to advance research in algorithmic equity and healthcare policy, her work has the potential to significantly influence how emergency departments and other healthcare settings operate globally. Looking forward, Dr. Yiadom is poised to leave an indelible mark on health system transformation, especially through her leadership roles at Stanford University and beyond. Her involvement in cutting-edge initiatives such as the Center for Digital Health and her guidance in the fogarty innovation program ensures that her contributions will continue to shape the future of healthcare.

Teaching & Mentorship đŸŒ±

Dr. Yiadom has demonstrated a strong commitment to mentorship and teaching, shaping future leaders in healthcare. She has mentored faculty members, trainees, and researchers, contributing significantly to academic and clinical environments. Her leadership in various academic programs has helped guide young professionals in their careers, particularly in emergency medicine and healthcare research. The knowledge and skills she imparts will undoubtedly have a long-lasting influence on the medical community.

 

 Top Noted Publications 📖

Influence of time‐to‐diagnosis on time‐to‐percutaneous coronary intervention for emergency department ST‐elevation myocardial infarction patients: Time‐to‐electrocardiogram matters

Authors: Maame Yaa A.B. Yiadom, Wu Gong, Brian W. Patterson, Christopher W. Baugh, Angela M. Mills, Nicholas Gavin, Seth R. Podolsky, Bryn E. Mumma, Mary Tanski, Gilberto Salazar et al.

Journal: JACEP Open

Year: 2024

Stanford Emergency Medicine Partnership Program: a novel approach to streamlining the evaluation and implementation of emerging health technologies through academic-industry partnerships

Authors: John Dayton, Maame Yaa A. B. Yiadom, Sam Shen, Matthew C. Strehlow, Christian Rose, Gabrielle Bunney, Ryan Ribeira

Journal: BMJ Innovations

Year: 2024

2023 Society for Academic Emergency Medicine Consensus Conference on Precision Emergency Medicine: Development of a policy-relevant, patient-centered research agenda

Authors: Matthew Strehlow, Michael A Gisondi, Holly Caretta-Weyer, Felix Ankel, Alexandria Brackett, Pawan Brar, Teresa M Chan, Adrene Garabedian, Bridget Gunn, Eric Isaacs et al.

Journal: Academic Emergency Medicine: Official Journal of the Society for Academic Emergency Medicine

Year: 2024

 Shorter Door-to-ECG Time Is Associated with Improved Mortality in STEMI Patients

Authors: Maame Yaa A. B. Yiadom, Wu Gong, Sean M. Bloos, Gabrielle Bunney, Rana Kabeer, Melissa A. Pasao, Fatima Rodriguez, Christopher W. Baugh, Angela M. Mills, Nicholas Gavin et al.

Journal: Journal of Clinical Medicine

Year: 2024

 Changes in low-acuity patient volume in an emergency department after launching a walk-in clinic

Authors: Divya Kurian, Vandana Sundaram, Anna Graber Naidich, Shreya A Shah, Daniel Ramberger, Saud Khan, Shashank Ravi, Sunny Patel, Ryan Ribeira, Ian Brown et al.

Journal: Journal of the American College of Emergency Physicians Open

Year: 2023

José Cunha Vaz | Temporal Data Patterns | Best Researcher Award

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Prof Dr. José Cunha Vaz | Temporal Data Patterns | Best Researcher Award

Association for Innovation and Biomedical Research on Light and Image, Portugal

Professional Profile 👹‍🎓

Scopus Profile

Orcid Profile

Early Academic Pursuits 📚

The journey of a distinguished academic career began with the completion of an MD at the University of Coimbra, followed by groundbreaking work across Europe. This early academic pursuit saw the completion of a PhD from the University of London Worldwide (1965) and another PhD from the University of Coimbra (1966), culminating in a Dr. Medical Science degree from the University of Coimbra in 1967. His academic training laid the foundation for a long and impactful career in medical research and clinical advancements.

Professional Endeavors đŸ’Œ

Over the years, this expert has held pivotal roles as Principal Investigator (P.I.) on numerous research grants, including those from the National Institute of Health (NIH) and European Union-funded projects. His involvement with high-profile institutions and various international collaborations has made him a leader in retinal disease research, particularly within the realm of diabetic retinopathy and ocular diseases. His extensive consultancy work with industry giants such as Alcon, Novartis, and Merck further attests to his recognition in the professional sphere.

Contributions and Research Focus 🔬

His contributions to ophthalmology are monumental, particularly in the area of the Blood-Retinal Barrier (BRB). His pioneering work in identifying the anatomical location of the BRB and its subsequent breakdown in diseases like diabetes has been widely cited. He introduced vitreous fluorophotometry in 1975, a technique that revolutionized the detection of early diabetic retinopathy. His work on multimodal macular mapping has been a key innovation for the diagnosis and monitoring of retinal conditions, further cementing his legacy as a pioneer in ocular research.

Impact and Influence 🌍

His research has had a profound effect on clinical practices related to retinal diseases, influencing generations of ophthalmologists and researchers. His studies on the BRB, blood-retinal vessel permeability, and the use of imaging technologies in retinal diagnostics have shaped the treatment strategies for conditions like diabetic retinopathy and age-related macular degeneration. Through his pioneering work, he has transformed the understanding of diabetic retinal disease and its progression, particularly in terms of fluid dynamics and vascular permeability.

Academic Citations 📈

With a citation index of 4,713, his work is a cornerstone of modern ophthalmic research. His publications in top-tier journals like Ophthalmologica and The Journal of Physiology continue to be referenced in both basic and clinical research on diabetic retinopathy and retinal diseases. His contributions to high-impact journals have solidified his reputation as a leading figure in the field.

Technical Skills đŸ› ïž

Known for his expertise in advanced imaging technologies, his technical skills include the development and application of innovative diagnostic techniques such as ocular fluorometry, confocal scanning laser fluorophotometry, and OCT-leakage technology. These tools have significantly advanced the detection and understanding of retinal pathologies. His work on multimodal imaging further highlights his technical expertise in integrating multiple diagnostic technologies to map and analyze retinal diseases in real-time.

Teaching Experience đŸ‘©â€đŸ«

Throughout his career, he has shared his extensive knowledge as a professor and mentor, inspiring countless students, researchers, and healthcare professionals. He has been an active participant in various scientific advisory councils and education initiatives, ensuring that his findings reach a broader audience. His editorial roles, including his tenure as Chief Editor for Ophthalmic Research and Ophthalmologica, have provided a platform for the next generation of ophthalmic researchers and clinicians to build upon his work.

Legacy and Future Contributions 🌟

His work has already left a lasting imprint on the field of ophthalmology. As a trailblazer in ocular imaging technologies and diabetic retinopathy research, his legacy will continue to shape clinical practices. With ongoing projects like the EuroVisionNet and EuroCONDOR, and new advancements in genetic polymorphisms related to retinal diseases, his contributions to understanding retinal disease progression remain vital. His continued research efforts promise to improve treatments for diabetic retinopathy, age-related macular degeneration, and other retinal conditions in the years to come.

 

Top Noted Publications 📖

  • Retinal neurodegeneration in eyes with NPDR risk phenotypes: A two‐year longitudinal study
    • Authors: DĂ©bora Reste‐Ferreira, InĂȘs Pereira Marques, Torcato Santos, Maria LuĂ­sa Ribeiro, LuĂ­s Mendes, Ana Rita Santos, Conceição Lobo, JosĂ© Cunha‐Vaz
    • Journal: Acta Ophthalmologica
    • Year: 2024
  • Characterization of central-involved diabetic macular edema using OCT and OCTA
    • Authors: DĂ©bora Reste-Ferreira, Torcato Santos, InĂȘs Pereira Marques, Maria LuĂ­sa Ribeiro, Ana Rita Santos, AntĂłnio Cunha-Vaz Martinho, Conceição Lobo, JosĂ© Cunha-Vaz
    • Journal: European Journal of Ophthalmology
    • Year: 2024
  • Central and Peripheral Involvement of the Retina in the Initial Stages of Diabetic Retinopathy
    • Authors: Ana Rita Santos, Ana Catarina Almeida, Ana ClĂĄudia Rocha, DĂ©bora Reste-Ferreira, InĂȘs Pereira Marques, AntĂłnio Cunha-Vaz Martinho, LuĂ­s Mendes, Torcato Santos, Warren Lewis, JosĂ© Cunha-Vaz
    • Journal: Retina
    • Year: 2023
  • Serum glial fibrillary acidic protein and neurofilament light chain as biomarkers of retinal neurodysfunction in early diabetic retinopathy: results of the EUROCONDOR study
    • Authors: HernĂĄndez C, Olga SimĂł-Servat, Massimo Porta, Jakob Grauslund, Simon P. Harding, Ulrik Frydkjaer-Olsen, JosĂ© GarcĂ­a-ArumĂ­, LuĂ­sa Ribeiro, Peter Scanlon, JosĂ© Cunha-Vaz et al.
    • Journal: Acta Diabetologica
    • Year: 2023
  • Different Risk Profiles for Progression of Nonproliferative Diabetic Retinopathy: A 2-Year Study
    • Authors: InĂȘs P. Marques, Maria L. Ribeiro, Torcato P. Santos, Luis G. Mendes, DĂ©bora Reste-Ferreira, Ana R. Santos, Conceição L. Lobo, JosĂ© G. Cunha-Vaz
    • Journal: Ophthalmology and Therapy
    • Year: 2023
  • Perspectives of diabetic retinopathy—challenges and opportunities
    • Authors: Sobha Sivaprasad, Sagnik Sen, JosĂ© Cunha-Vaz
    • Journal: Eye
    • Year: 2022
  • Characterization of 2-Year Progression of Different Phenotypes of Nonproliferative Diabetic Retinopathy
    • Authors: LuĂ­sa Ribeiro, InĂȘs Marques, Torcato Santos, Sara Carvalho, Ana Rita B M Santos, LuĂ­s Mendes, Conceição Lobo, JosĂ© Cunha-Vaz
    • Journal: Ophthalmic Research
    • Year: 2022
  • Common and rare genetic risk variants in age‐related macular degeneration and genetic risk score in the Coimbra eye study
    • Authors: ClĂĄudia Farinha, Patricia Barreto, Rita Coimbra, Maria Luz Cachulo, Joana Barbosa Melo, JosĂ© Cunha‐Vaz, Yara Lechanteur, Carel B. Hoyng, Silva R.
    • Journal: Acta Ophthalmologica
    • Year: 2022