Nishant Agarwal | Financial Data Analysis | Best Researcher Award

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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

Sogand Dehghan | social network analysis | Best Innovation Award

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Ms. Sogand Dehghan | social network analysis | Best Innovation Award

Ms. Sogand Dehghan at K. N. Toosi University of Technology, Iran

👨‍🎓Professional Profiles

Orcid Profile

Google Scholar  Profile

👩‍💻 Summary

Ms. Sogand Dehghan an Information Technology specialist with expertise in data analysis and software development. My work primarily focuses on collecting, cleaning, and analyzing data from various sources to create actionable reports and dashboards for organizational decision-making. I am passionate about using data-driven strategies to help businesses achieve their goals, with a particular interest in social media analysis and its alignment with organizational objectives. Additionally, I enjoy developing data-driven software solutions that enhance operational efficiency.

🎓 Education

Ms. Sogand Dehghan earned my Master’s Degree in Information Technology from K.N. Toosi University of Technology (2019-2022) and my Bachelor’s Degree in Information Technology with a grade of 97% from Payame Noor University (2012-2016). My thesis, titled “Provision of an Efficient Model for Evaluation of Social Media Users Using Machine Learning Techniques,” focused on leveraging machine learning to assess social media engagement and user behavior.

💼 Professional Experience

Ms. Sogand Dehghan currently hold two key roles: as an Instructor at National Skills University, where I teach courses on Advanced Programming and Data Analysis (since Sep 2024), and as a Data Analyst at GAM Arak Industry, where I focus on data mining, machine learning, and visualizing data insights using tools like Power BI, Python, SQL Server, and SSRS (since Jan 2024). Additionally, I serve as a Software Developer at GAM Arak Industry, working with C#, ASP.NET Core, and SQL Server to build scalable software solutions (since Apr 2023). In my previous role at Kherad Sanat Arvand (Apr 2022 – Jun 2023), I honed my skills in data analysis and dashboard development.

📚 Academic Citations

My research has been published in prestigious journals. My paper, “The Credibility Assessment of Twitter Users Based on Organizational Objectives,” was published in Computers in Human Behavior (Sep 2024), where I developed a model for assessing the credibility of Twitter users by integrating profile data with academic sources like Google Scholar. Another notable publication, “The Evaluation of Social Media Users’ Credibility in Big Data Life Cycle,” appeared in the Journal of Information and Communication Technology (Sep 2023), in which I reviewed existing frameworks for evaluating social media user credibility.

🔧 Technical Skills

My technical skill set includes expertise in C#, ASP.NET, Python, and SQL Server for software development. I specialize in Data Visualization with Power BI, Data Mining, Machine Learning, and Social Network Analysis. Additionally, I have a solid foundation in Text Mining and Data Modeling, which enables me to provide comprehensive solutions for data-driven challenges in various organizational contexts.

👨‍🏫 Teaching Experience

As an Instructor at National Skills University, I teach Advanced Programming and Data Analysis. I focus on equipping students with the skills needed to thrive in the data-driven world of technology. My approach integrates real-world data problems with theoretical knowledge to help students apply their learning in practical scenarios.

🔍 Research Interests

My research interests lie in the intersection of Machine Learning and Social Network Analysis. I am particularly interested in developing models to evaluate social media user credibility, integrating heterogeneous data sources for organizational decision-making, and exploring the broader implications of big data in evaluating trust and influence within social networks.

 

Jianhong Hao | Predictive Analytics | Best Researcher Award

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Dr. Jianhong Hao | Predictive Analytics | Best Researcher Award

Doctorate at Honghui Hosipital, Xi’an Jiaotong University, China

👨‍🎓Professional Profiles

👨‍⚕️ Summary

Dr. Jianhong Hao is a Master of Anesthesia and a prominent researcher in perioperative care at Honghui Hospital, Xi’an Jiaotong University, China. His expertise lies in analyzing risk factors for perioperative complications and applying ultrasound technology for airway management. With over 9 SCI papers published in the last five years, his research focuses on improving patient outcomes, particularly in trauma and post-surgical settings.

🎓 Education

Dr. Hao completed his Master of Anesthesia at Xi’an Jiaotong University, where he developed a strong foundation in clinical anesthesia and perioperative medicine.

🏥 Professional Experience

Currently, Dr. Hao serves as a clinical specialist and researcher at Honghui Hospital. He specializes in risk factor analysis for perioperative complications and has made significant contributions to optimizing care for trauma and surgical patients.

📚 Academic Citations

Dr. Hao’s research is widely recognized in the scientific community. His publications in journals like Journal of Clinical Anesthesia and BMC Anesthesiology cover diverse topics such as postoperative pulmonary complications (PPCs) and the use of ultrasound in predicting respiratory issues in trauma patients.

💻 Technical Skills

Dr. Hao is skilled in utilizing ultrasound technology for airway management and perioperative care. He also specializes in statistical modeling, data analysis, and risk factor identification for various surgical complications, with an emphasis on predictive tools and clinical trials.

👩‍🏫 Teaching Experience

In addition to his clinical and research work, Dr. Hao is an educator at Xi’an Jiaotong University, where he mentors medical students and residents in anesthesia and perioperative management.

🔬 Research Interests

Dr. Hao’s research interests center around the identification of risk factors for perioperative complications, especially those involving trauma patients. His ongoing projects include developing risk stratification models based on lung ultrasound scores for traumatic lung injuries and optimizing care for patients with postoperative pulmonary complications.

🏅 Key Contributions

Dr. Hao has made pioneering contributions in the use of postoperative lung ultrasound scores to predict pulmonary complications in patients with blunt thoracic trauma. His work also includes developing models for early identification of risks in trauma patients and optimizing blood use in surgery

🤝 Collaborations

Dr. Hao collaborates with multidisciplinary teams at Honghui Hospital and is an active member of the Shaanxi Clinical Trial Research Society, contributing to ongoing clinical studies and evidence-based practices in anesthesia.