Nishant Agarwal | Financial Data Analysis | Best Researcher Award

Mr. Nishant Agarwal l Financial Data Analysis | Best Researcher Award

University of Western Australia, Australia

Author Profiless

Scopus

Orcid

🎓 Early Academic Pursuits

Nishant Agarwal’s academic journey reflects a relentless pursuit of excellence. He holds a Ph.D. in Accounting from the prestigious Indian School of Business, Hyderabad, where he was awarded the ISB FPM Fellowship for his scholarly promise. As a visiting Ph.D. scholar at Michigan State University, he collaborated with renowned faculty, enriching his research acumen. His educational foundation includes an MBA from the Indian Institute of Management (IIM) Kolkata, where he received the esteemed Post Graduate Diploma in Management, and a Bachelor’s degree in Automation Engineering from the University of Delhi.

💼 Professional Endeavors

Currently a Lecturer in Accounting at the University of Western Australia (UWA), Nishant has been instrumental in leading units such as Financial Statement Analysis, Management Accounting, and Data Analytics since August 2018. His prior industry experience spans analytical roles at American Express, Unitech, and Tata Consultancy Services (TCS), showcasing his versatility and expertise in risk analytics, data modeling, and strategic planning.

🔬 Contributions and Research Focus

Nishant’s research interests include capital market intermediaries, disclosures, cybersecurity, information asymmetries, and cost behavior. His collaborative working papers explore nuanced topics such as audit matters, cost behavior under uncertainties, and resource allocation’s impact on financial metrics. His contributions have received significant recognition, securing grants like the IMA Incubator Grant and AFAANZ funding, underscoring his influence in the field.

🌟 Teaching Excellence

With over five years of teaching experience at UWA, Nishant has consistently delivered high-quality education, earning average ratings of 4.5/5 in postgraduate courses and 4.2/5 in undergraduate courses. He designed and piloted the “Introduction to Business Analytics” unit, a foundational course for the Master’s in Business Analytics program. His innovative teaching approach extends to workshops, such as the highly-rated “Causal Inference” workshop for Ph.D. students at ISB.

📚 Academic Influence and Citations

Nishant has contributed significantly to academia through his roles as a reviewer for premier journals, including Accounting and Finance and Accounting Horizons. His involvement with the Pacific Accounting Review’s Early Career Reviewer Board further highlights his commitment to advancing academic scholarship.

🔧 Technical Skills

Proficient in statistical tools such as SAS and data analytics platforms, Nishant combines technical expertise with theoretical knowledge. His skills in predictive modeling and risk analysis have been instrumental in both his industry and academic roles.

🎓 Legacy and Future Contributions

Nishant’s legacy as a dedicated mentor is evident in his supervision of four Ph.D. students and his contributions to academic service, including coordinating seminars and serving on research committees. His ongoing work with the UWA Data Institute and his involvement in ethics reviews demonstrate his commitment to shaping the future of accounting research and education. As a liaison for the Chartered Institute of Management Accountants (CIMA), Nishant bridges academia and professional practice, ensuring his impact resonates beyond the classroom.

🌐 Broader Impact

Through his interdisciplinary approach, spanning academia, industry, and professional development, Nishant Agarwal is a beacon of innovation and leadership in accounting and analytics. His work continues to inspire students, collaborators, and peers alike.

📖 Top Noted Publications
Institutional Theory and Hybrid Accounting and Control Systems
    • Authors: Agarwal, N., Krishnan, R., Weiler, L.
    • Journal: Journal of Management Accounting Research
    • Year: 2024
Cost Decisions of Supplier Firms: A Study Based on the Customer-Supplier Link
    • Authors: Agarwal, N., Agarwal, S.
    • Journal: Management Accounting Research
    • Year: 2024
Data Breach Notification Laws and the Cost of Private Debt
    • Authors: Agarwal, N., Agarwal, S., Chatterjee, C.
    • Journal: British Accounting Review
    • Year: 2024
Cost Stickiness and Stock Price Delay
    • Authors: Agarwal, N.
    • Journal: European Accounting Review
    • Year: 2024
Linking ESG-Investing Consciousness, Behavioral Biases, and Risk-Perception: Scale Validation with Specifics of Indian Retail Investors
    • Authors: Deka, J., Sharma, M., Agarwal, N., Tiwari, K.
    • Journal: European Journal of Business Science and Technology
    • Year: 2023
Growth Opportunities, Information Asymmetry, and Dividend Payout: Evidence from Mandatory IFRS Adoption
    • Authors: Agarwal, N., Chakraverty, A.
    • Journal: European Accounting Review
    • Year: 2023

Jodian Campbell | Financial Data Analysis | Global Innovations in Analytics Award

Ms. Jodian Campbell | Financial Data Analysis | Global Innovations in Analytics Award

Ms. Jodian Campbell Mercer University, United States

👨‍🎓 Profiles

👤 Summary

Data-driven professional with a strong background in analytics, business strategy, and project management. Adept at translating complex data into actionable insights and optimizing decision-making processes. Passionate about leveraging technology to enhance business outcomes.

🎓 Education

  • Python for Data Science, AI & Development, IBM (July 2024)
  • MBA in Business and Data Analytics, Mercer University, Atlanta, GA (May 2024)
  • BBA in Finance and Economics, University of Technology, Jamaica (Aug 2017)

💼 Professional Experience

  • Analytics Intern, Arbicare, Atlanta, GA (July 2024 – Present): Developed real-time dashboards and advanced data filtering techniques to enhance reporting accuracy and business strategies.
  • Client Services Officer, Strategic Alignment Limited, Kingston, Jamaica (Aug 2019 – June 2022): Analyzed complex datasets and created dynamic dashboards for clients, driving informed decision-making across various industries.
  • Project Coordinator, Sunbeam Children’s Home, St. Catherine, Jamaica (May 2018 – Aug 2019): Managed cross-functional teams and secured $1M in funding for a developmental program while leading proposal writing efforts.

🔍 Research Interests

Exploring advanced analytics, AI applications in business, and the impact of data-driven decision-making on organizational performance.

📖  Top Noted Publications
  • Authors: Paul O. Oyinloye; Jodian Campbell
    Journal: International Journal of Economic Policy
    Year: 2024
Optimizing treasury management in a high-inflation environment: A strategic framework for U.S. Financial Institutions
  • Authors: Boris A. Koffi; Jodian Campbell
    Journal: World Journal of Advanced Research and Reviews
    Year: 2024

Amal Ben Hamida | Financial Data Analysis | Best Researcher Award

Dr. Amal Ben Hamida | Financial Data Analysis | Best Researcher Award

Doctorate at Institute of Actuarial and financial sciences (ISFA), University Claude Bernard Lyon 1, France

👨‍🎓 Profiles

Orcid Profile
Google Scholar Profile
Research Gate Profile

👩‍🎓 Academic Backcround

Dr. Amal Ben Hamida is a Ph.D. student in Finance at the University Claude Bernard Lyon 1 and the University of Sousse. She focuses on statistical learning algorithms for portfolio optimization. Dr. Ben Hamida holds a Bachelor’s and a Master’s degree in Finance and Actuarial Sciences from the Institute of High Commercial Studies of Sousse. She has published two papers in prestigious journals and has taught at École Centrale de Lyon and IAE Lyon. Currently, she is an ATER at the University of Paris-Est Créteil.

🎓 Education

  • Bachelor’s Degree in Finance: Institute of High Commercial Studies of Sousse
  • Master’s Degree in Finance and Actuarial Sciences: Institute of High Commercial Studies of Sousse
  • Ph.D. in Finance: University Claude Bernard Lyon 1 and University of Sousse

💼 Professional Experience

  • Current Position: ATER at the University of Paris-Est Créteil
  • Past Teaching Positions: École Centrale de Lyon, IAE Lyon
  • Previous ATER Position: University of Jean Monnet

🔍 Research Interests

Dr. Amal Ben Hamida’s research interests are centered around several key areas in finance and statistical analysis. She is deeply involved in Financial Markets 📈 and Time Series Analysis 📊, focusing on understanding and predicting market behaviors. Her expertise extends to Statistical Analysis 🔢 and Portfolio Management and Optimization 💼, where she applies advanced algorithms to enhance financial decision-making. Additionally, Dr. Ben Hamida explores Econometrics 📉 and Applied Mathematics ➗ to develop robust models for financial forecasting. Her work also encompasses Financial Economics 💵 and Statistical Distributions 📚, integrating Artificial Neural Networks 🤖 and Mathematical Statistics 📏 for innovative analytical approaches. Her dedication to Applied Statistics and Computational Statistics 🔬 underscores her commitment to advancing financial research through rigorous and cutting-edge methodologies.

📖 Publications

The link between abnormal numbers and price movements of financial securities: How does Benford’s law predict stock returns?

  • Authors: Amal Ben Hamida, Christian de Peretti, Lotfi Belkacem
  • Journal: International Review of Financial Analysis
  • Year: 2024

 Machine learning based methods for ratemaking health care insurance

  • Authors: Amal Ben Hamida, Manel Kacem, Christian de Peretti, Lotfi Belkacem
  • Journal: International Journal of Market Research
  • Year: 2024

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