activity
20202025
most citedDeep Q-Network-based Adaptive Alert Threshold Selection Policy for Payment Fraud Systems in Retail Banking

14 citations · 43 across the 13 of their papers we have counts for

collaborators

14 papers

cs.CY2025

The Agentic Regulator: Risks for AI in Finance and a Proposed Agent-based Framework for Governance

Eren Kurshan, Tucker Balch, David Byrd

Generative and agentic artificial intelligence is entering financial markets faster than existing governance can adapt. Current model-risk frameworks assume static, well-specified…

cs.AR2025

3D Guard-Layer: An Integrated Agentic AI Safety System for Edge Artificial Intelligence

Eren Kurshan, Yuan Xie, Paul Franzon

AI systems have found a wide range of real-world applications in recent years. The adoption of edge artificial intelligence, embedding AI directly into edge devices, is rapidly gro…

cs.AR2025

Opportunities and Challenges for 3D Systems and Their Design

Philip Emma, Eren Kurshan

Although it is not a new concept, 3D integration increasingly receives widespread interest and focus as lithographic scaling becomes more challenging, and as the ability to make mi…

cs.LG2024

AI versus AI in Financial Crimes and Detection: GenAI Crime Waves to Co-Evolutionary AI

Eren Kurshan, Dhagash Mehta, Bayan Bruss +1

Adoption of AI by criminal entities across traditional and emerging financial crime paradigms has been a disturbing recent trend. Particularly concerning is the proliferation of ge…

cs.ET2024

Towards 3D AI Hardware: Fine-Grain Hardware Characterization of 3D Stacks for Heterogeneous System Integration & AI Systems

Eren Kurshan, Paul Franzon

3D integration offers key advantages in improving system performance and efficiency for the End-of-Scaling era. It enables the incorporation of heterogeneous system components and…

cs.LG2023★ 2 cited

Temporal Knowledge Distillation for Time-Sensitive Financial Services Applications

Hongda Shen, Eren Kurshan

Detecting anomalies has become an increasingly critical function in the financial service industry. Anomaly detection is frequently used in key compliance and risk functions such a…

cs.AI2023★ 5 cited

From the Pursuit of Universal AGI Architecture to Systematic Approach to Heterogenous AGI: Addressing Alignment, Energy, & AGI Grand Challenges

Eren Kurshan

Artificial intelligence (AI) faces a trifecta of grand challenges: the Energy Wall, the Alignment Problem and the Leap from Narrow AI to AGI. We present SAGI, a Systematic Approach…

cs.CY2021★ 4 cited

On the Current and Emerging Challenges of Developing Fair and Ethical AI Solutions in Financial Services

Eren Kurshan, Jiahao Chen, Victor Storchan +1

Artificial intelligence (AI) continues to find more numerous and more critical applications in the financial services industry, giving rise to fair and ethical AI as an industry-wi…

cs.LG2021★ 7 cited

Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice

Jiahao Chen, Victor Storchan, Eren Kurshan

We review practical challenges in building and deploying ethical AI at the scale of contemporary industrial and societal uses. Apart from the purely technical concerns that are the…

cs.ET2021

A Case for 3D Integrated System Design for Neuromorphic Computing & AI Applications

Eren Kurshan, Hai Li, Mingoo Seok +1

Over the last decade, artificial intelligence has found many applications areas in the society. As AI solutions have become more sophistication and the use cases grew, they highlig…

cs.CR2021★ 2 cited

Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook

E. Kurshan, H. Shen

The rise of digital payments has caused consequential changes in the financial crime landscape. As a result, traditional fraud detection approaches such as rule-based systems have…

cs.LG2021★ 3 cited

Financial Crime & Fraud Detection Using Graph Computing: Application Considerations & Outlook

E. Kurshan, H. Shen, H. Yu

In recent years, the unprecedented growth in digital payments fueled consequential changes in fraud and financial crimes. In this new landscape, traditional fraud detection approac…

cs.LG2020★ 14 cited

Deep Q-Network-based Adaptive Alert Threshold Selection Policy for Payment Fraud Systems in Retail Banking

Hongda Shen, Eren Kurshan

Machine learning models have widely been used in fraud detection systems. Most of the research and development efforts have been concentrated on improving the performance of the fr…

cs.LG2020★ 6 cited

Towards Self-Regulating AI: Challenges and Opportunities of AI Model Governance in Financial Services

Eren Kurshan, Hongda Shen, Jiahao Chen

AI systems have found a wide range of application areas in financial services. Their involvement in broader and increasingly critical decisions has escalated the need for complianc…