Mr. Ashok Ghimire | Computer Science | Westcliff University | United States
Ashok Ghimire is a dynamic researcher and professional specializing in artificial intelligence, data analytics, and financial technology. Born in Nepal and currently based in Anaheim, California, he has demonstrated a strong commitment to advancing computer science applications in banking, finance, and business intelligence. With over a decade of academic and professional experience, he has transitioned from banking operations and financial management in Nepal to advanced research in AI-driven data analytics in the United States. His work emphasizes leveraging machine learning, quantum computing, and big data to address critical challenges such as fraud detection, financial inclusion, and risk management. Ashok has earned recognition for his scholarly contributions, securing multiple scholarships and publishing extensively in reputed journals. In addition to his academic excellence, he contributes to the research community as a peer reviewer and conference evaluator. His forward-looking vision integrates technology and finance to create sustainable and secure digital ecosystems.
Author Profiles
Orcid | Google Scholar
Education
Ashok Ghimire has pursued a strong academic journey combining business, finance, and technology. He completed his high school and higher secondary education in Nepal with distinction before receiving an ICCR-funded scholarship to study for a Bachelor of Business Administration in Finance at MITSOM, Pune, India, where he graduated with distinction. Continuing his academic path, he earned an MBA in Finance and Marketing at Surya World, India, achieving high distinction and receiving support through Surya Pharmaceuticals’ CSR scholarship. Ashok’s academic excellence has been recognized with multiple scholarships at each stage of his education. Building on this foundation, he is currently pursuing a Doctor of Business Administration (DBA) in Business Intelligence and Data Analytics at Westcliff University, Irvine, California. His doctoral studies reflect his growing specialization in artificial intelligence, machine learning, and big data analytics, preparing him to make innovative contributions to the U.S. financial technology and banking sectors.
Experience
Ashok Ghimire has built a diverse professional background, beginning his career as a Management Trainee at CG Electronics, Nepal, where he gained experience in sales enhancement, product imports, and brand management. He later advanced to Assistant Manager and then Deputy Manager at Nepal Bank Limited, one of the country’s leading financial institutions. During his tenure, he managed credit assessments, financial risk evaluations, loan negotiations, and approvals of major projects, including hydroelectric power initiatives. His responsibilities also extended to customer relations, compliance, staff supervision, and branch operations. Ashok’s professional expertise lies in analyzing business proposals, conducting industry research, and making strategic financial recommendations. Since moving to the U.S., he has focused on academic research and peer reviewing for international journals and conferences, strengthening his global engagement in computer science, AI, and data analytics. His career path reflects a seamless integration of financial management and emerging digital technologies.
Awards and Honors
Ashok Ghimire’s academic and professional journey is distinguished by numerous awards and recognitions. He received scholarships at every stage of his higher education, beginning with Einstein Academy in Nepal, where he was awarded for his higher secondary studies. He later received the prestigious Indian Council for Cultural Relations (ICCR) scholarship for his undergraduate degree in Finance at MITSOM, Pune, India. His postgraduate studies were supported by a CSR scholarship from Surya Pharmaceuticals, enabling him to complete his MBA in Finance and Marketing with distinction. At Westcliff University, he has been recognized on the Dean’s List with Distinction and awarded the Founder’s Scholarship for Business during his doctoral studies. Beyond academia, Ashok has secured a UK Design Patent for an AI-based Facial Recognition Device (2025) and has established himself as an active peer reviewer for leading international journals and conferences, highlighting his global recognition as a scholar.
Research Focus
Ashok Ghimire’s research focus lies at the intersection of computer science, artificial intelligence, and financial technology. His work explores how AI, machine learning, and data analytics can transform the U.S. financial sector, particularly in enhancing fraud detection, anti-money laundering (AML) compliance, financial crime prevention, and risk management. He has published extensively on AI-driven predictive modeling, big data in banking, quantum computing applications in fraud detection, and the role of sentiment analysis in cryptocurrency markets. His research also extends to healthcare, education, and agricultural industries, where AI-driven solutions are shaping innovation and efficiency. Through his doctoral studies, he aims to strengthen the adoption of business intelligence and decision-support systems in organizations, especially in resource-constrained environments. His future vision is to integrate computer science with financial strategies to support economic inclusion, transparency, and security, ultimately contributing to both national priorities and global digital transformation.
Publications
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Exploring Benefits, Overcoming Challenges, and Shaping Future Trends of AI in Agriculture.
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Behavioral Intention to Adopt Artificial Intelligence in Educational Institutions.
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Exploring the Latest Trends in AI Technologies: Current State and Impacts.
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Applying TAM in IT Systems to Evaluate Decision Support Adoption.
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Advances in Smart Health Care: Paradigms, Challenges, Case Studies.
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Predictive Models Performance in Financial Services for At-Risk Customers.
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Harnessing Big Data with AI-Driven BI Systems for Real-Time Fraud Detection.
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AI-Powered Anomaly Detection for AML Compliance in US Banking.
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Quantum Computing in US Banking: Future of Fraud Prevention.
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Multi-Factor Forex Hedging Models with Reinforcement Learning.
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Organizational Factors Influencing Predictive Analytics Adoption for FX Exposure.
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Role of AI-Based Sentiment Detection in Forecasting Cryptocurrency Market.
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Leveraging AI for Trade-Based Money Laundering Detection.
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AI-Driven Drug Repurposing for Oncology Treatments.
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Meta-Synthesis of Barriers to Decision Tree Analytics in Payment Fraud.
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Enhancing Real-Time Fraud Detection Using RNNs.
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Sociotechnical Framework for Business Intelligence Adoption in SMEs.
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Data Analytics in Judicial Decision-Making.
Conclusion
Ashok Ghimire represents a new generation of scholars who bridge finance, technology, and computer science to drive innovation in real-world contexts. His academic journey, professional expertise, and extensive publications reflect a strong foundation in both theory and practice. Through his pioneering research on artificial intelligence, data analytics, and financial risk management, he is actively shaping the future of digital finance and business intelligence. His achievements, including international scholarships, patents, and peer-review contributions, highlight his credibility and leadership in the field. Positioned at the intersection of academia and industry, Ashok continues to contribute toward building smarter, safer, and more inclusive financial systems. His forward-looking vision makes him a strong candidate for recognition in the domain of Computer Science, particularly where technology and finance converge to address global challenges.