Theresa Kühle | Data Analysis | Best Researcher Award

Mrs. Theresa Kühle | Data Analysis | Best Researcher Award

Mrs. Theresa Kühle at Universität Münster, Germany

👨‍🎓Professional Profile

🌟 Summary

Theresa Kühle is a dedicated medical student at the University of Münster, Germany, with a strong focus on pediatric cardiology, prenatal medicine, and psychosomatic disorders. Passionate about research and clinical practice, she has presented at several medical congresses and published research in the field of fetal heart failure. As a Cusanuswerk scholarship recipient, she is committed to advancing in her medical career with international experience.

🎓 Education

Since 2019, Theresa has been studying medicine at the University of Münster, Germany. She also gained international medical experience at the Universidad de Valladolid, Spain, in 2023. Theresa completed her Abitur at Gymnasium Schloss Neuhaus, Paderborn, in 2018, with an outstanding grade of 1.0.

💼 Professional Experience

Theresa has gained extensive practical experience in hospitals and medical settings. Since 2024, she has been working as an OP student in the Department of Gynaecology and Obstetrics at St. Franziskus-Hospital in Münster. She also gained clinical experience in pediatrics, cardiology, neurology, urology, and psychosomatic medicine at the University Hospital Münster. In addition, she has been a tutor for a sonography course at her university since 2024.

📑 Academic Citations

In 2024, Theresa presented posters at the 65th DGGG Congress in Berlin and the 47th Tri-Nation Meeting in Salzburg. She has also published a research paper on “Dyssynchronous fetal heart failure in maternal diabetes” with Prof. Dr. Ralf Schmitz, highlighting her active involvement in medical research.

🛠️ Technical Skills

Theresa possesses advanced skills in sonography, as evidenced by her role as a tutor in the ultrasound course at the University of Münster. She has a deep understanding of prenatal diagnostics, particularly in echocardiography and M-mode software. In addition, she is fluent in English (C1/C2), Spanish (B2.2), and French (B2), with proficiency in Latin.

👩‍🏫 Teaching Experience

Theresa has enriched her teaching portfolio by serving as a tutor for the sonography course at the University of Münster since 2024. She has also gained hands-on teaching experience in psychosomatic treatments, pediatrics, and psychotherapeutic practices during her medical training.

🔬 Research Interests

Her research focuses on pediatric cardiology, particularly congenital heart defects, and prenatal medicine, with a specific interest in fetal heart failure caused by maternal diabetes. Additionally, Theresa is passionate about psychosomatic medicine and psychological health treatments for children and adolescents.

📖Top Noted Publication

Dyssynchronous Fetal Heart Failure in Maternal Diabetes: Evaluation with Speckle Tracking Echocardiography and Novel M-Mode Software

Authors: Theresa M. Kühle, Angela Burgmair, Georg Schummers, Mareike Möllers, Kathrin Oelmeier, Chiara De Santis, Helen Ann Köster, Ute Möllmann, Daniela Willy, Janina Braun, et al.

Journal: Ultrasound in Medicine & Biology

Year: 2024

Boris Koffi | Data Analysis | International Insightful Analytics Achievement Award

Mr. Boris Koffi | Data Analysis | International Insightful Analytics Achievement Award

Mr. Boris Koffi at Goldman Sachs, United States

👨‍🎓 Profiles

👤 Summary

Detail-oriented finance professional with a strong background in quantitative risk analysis and management. Proven experience in corporate treasury operations, financial modeling, and actuarial analysis, complemented by strong analytical skills and a commitment to continuous improvement.

🎓 Education

  • Master’s in Quantitative Risk Analysis and Management
    Georgia State University, Atlanta, GA (Aug 2020 – Dec 2021) | GPA: 3.78/4.0
  • Bachelor of Actuarial Science & Risk Management & Insurance
    Georgia State University, Atlanta, GA (Aug 2017 – May 2020) | GPA: 3.79/4.0

💼 Professional Experience

  • Senior Analyst, Corporate Treasury at Goldman Sachs, Dallas, TX (Apr 2022 – Present): Manage external bank relationships and improve workflows. Oversee cash and securities accounts, conducting KYC processes. Analyze interest-bearing accounts using Excel and SQL for forecasting.
  • Actuarial Intern at Travelers, Hartford, CT (Jun 2021 – Aug 2021): Conducted quarterly reserve reviews and trend analysis for claims, providing actionable insights to senior actuaries.
  • Graduate Admin Assistant (Math Tutor) at Georgia State University (Aug 2020 – Dec 2021): Provided tutoring in math subjects and supported student learning through personalized study plans.

🌟 Leadership Activities

  • President, Actuarial Student Association (Dec 2019 – May 2020): Led organizational meetings and coordinated career fairs with industry partners.

🔍 Research Interests

Advanced credit risk models, financial econometrics, predictive modeling, and interest rate analysis.

📖  Top Noted Publications

 Optimizing treasury management in a high-inflation environment: A strategic framework for U.S. Financial Institutions

  • Author: Boris A. Koffi; Jodian Campbell
    Journal: World Journal of Advanced Research and Reviews
    Year: 2024

The Role of AI-powered financial analytics in shaping economic policy: A new era for risk management and national growth in the United States

  • Author: Jodian Campbell; Boris A. Koffi
    Journal: World Journal of Advanced Research and Reviews
    Year: 2024

Bingqian li | Financial Data Analysis | Best Researcher Award

Ms. Bingqian li, Financial Data Analysis , Best Researcher Award

Ms. Bingqian li at Nankai University, China

Professional Profile

Scopus Profile

🌟Summary

Bingqian Li is a dedicated graduate student at Nankai University, specializing in Finance with a focus on Corporate Finance. With a strong academic background and practical experience in economic research, Bingqian has demonstrated expertise in analyzing dynamic corporate production management and the impact of trade policy uncertainty on short-term financing. Their research contributions have been recognized through project selections and publications in reputable journals. Proficient in Stata, Matlab, Python, and C++, Bingqian is fluent in both Mandarin and English.

🎓Education

  • Nankai University, School of Finance
    • Master of Economics, Finance (Corporate Finance), Sep. 2022 – Jun. 2025
      • GPA: 89.16/100
      • Special Scholarships and recognition for outstanding social practice involvement.
  • Nankai University, School of Finance
    • Bachelor of Economics, Finance, Sep. 2017 – Jun. 2021
      • GPA: 85.96/100

💼 Professional Experience

Bingqian Li has gained valuable professional experience through intensive research and practical applications in economics, focusing on corporate finance dynamics. Their roles have included analyzing US manufacturing firms to uncover relationships between capacity utilization and inventory management. Bingqian has also contributed to developing dynamic production models that integrate fixed assets and capital utilization, showcasing a deep understanding of economic variables and firm-level strategies. Their dedication to high-quality research is underscored by project selections and publications that explore the intersection of economic policies with corporate financial practices.

🔬 Research Interests

Bingqian Li’s research interests span several critical areas within economics, with a primary focus on corporate finance and economic policy analysis. They are particularly interested in exploring the dynamics of production management, including the optimization of capital utilization and inventory strategies in manufacturing settings. Bingqian’s research also delves into the impacts of trade policy uncertainties on short-term financial practices, aiming to uncover how economic policies influence corporate decision-making. Their work contributes significantly to understanding the economic implications of policy changes and enhancing the efficiency and resilience of corporate financial operations in dynamic market environments.

📖 Publication Top Noted

Ebrahim Ghaderpour | Financial Data Analysis | Best Researcher Award

Dr. Ebrahim Ghaderpour, Financial Data Analysis, Best Researcher Award

Doctorate at Sapienza University of Rome, Italy

Professional Profile

Orcid Profile
Scopus Profile
Research Gate

Summary

Dr. Ebrahim Ghaderpour is an accomplished Assistant Professor in Remote Sensing for Engineering Geology at Sapienza University of Rome, specializing in ground deformation processes and cultural heritage monitoring using remote sensing techniques. He is also the Founder and CEO of Earth and Space Inc., focusing on Earth observation data analysis. With a robust background in academia and industry, Dr. Ghaderpour has extensive experience in teaching, research, and software development across various scientific disciplines.

Education

  • Ph.D. in Big Data Analytics, York University, Toronto, ON, Canada, 2018
  • Ph.D. in Theoretical and Computational Science, University of Lethbridge, Lethbridge, AB, Canada, 2014
  • M.Sc. in Mathematics, Isfahan University of Technology, Isfahan, Iran, 2010
  • B.Sc. in Applied Mathematics, University of Isfahan, Isfahan, Iran, 2007

Professional Experience

  • Assistant Professor, Department of Earth Sciences, Sapienza University of Rome, Italy (2022-present)
  • Founder and CEO, Earth and Space Inc., Calgary, AB, Canada (2020-present)
  • Postdoctoral Associate, Department of Geomatics Engineering, University of Calgary, Canada (2021-2022)
  • Sessional Instructor, University of Calgary and University of Lethbridge, Canada (2016-2022)
  • Research and Teaching Assistant, York University and University of Lethbridge, Canada (2013-2016)

📖 Publication Top Noted

Article: A fractional-order multiple-model type-2 fuzzy control for interconnected power systems incorporating renewable energies and demand response

  • Authors: Yan, S.-R., Dai, Y., Shakibjoo, A.D., Ghaderpour, E., Mohammadzadeh, A.
  • Journal: Energy Reports
  • Volume: 12
  • Pages: 187–196
  • Year: 2024

Article: On the stochastic significance of peaks in the least-squares wavelet spectrogram and an application in GNSS time series analysis

  • Authors: Ghaderpour, E., Pagiatakis, S.D., Mugnozza, G.S., Mazzanti, P.
  • Journal: Signal Processing
  • Volume: 223
  • Pages: 109581
  • Year: 2024

Article: Ground deformation monitoring via PS-InSAR time series: An industrial zone in Sacco River Valley, central Italy

  • Authors: Ghaderpour, E., Mazzanti, P., Bozzano, F., Scarascia Mugnozza, G.
  • Journal: Remote Sensing Applications: Society and Environment
  • Volume: 34
  • Pages: 101191
  • Year: 2024

Article: A fast and robust method for detecting trend turning points in InSAR displacement time series

  • Authors: Ghaderpour, E., Antonielli, B., Bozzano, F., Scarascia Mugnozza, G., Mazzanti, P.
  • Journal: Computers and Geosciences
  • Volume: 185
  • Pages: 105546
  • Year: 2024

Article: Personalized Blood Pressure Control by Machine Learning for Remote Patient Monitoring

  • Authors: Vu, M.T., Alattas, K.A., Bouteraa, Y., Ghaderpour, E., Mohammadzadeh, A.
  • Journal: IEEE Access
  • Year: 2024