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Faculty Research Awards 2021

 

2021 JPMC AIR Faculty Research Award - Kick-off

Financial Crime

Engineer Bainomugisha


Makerere University

Generating Synthetic Datasets for Mobile Money Transactions for AI Research

Contacts: Parisa Hassanzadeh, Vamsi Potluru

Jure Leskovec


Stanford University

ROLAND 2.0: Graph Representation Learning for Transaction Networks

Contacts: Daniel Borrajo, Vamsi Potluru

Milind Tambe


Harvard University

Policies for Supervisory Audits: A Security Games and Bandit approach

Contacts: Sumitra Ganesh, Parisa Hassanzadeh

Data

Gilad Asharov


Bar-Ilan University

Scaling Secure Computation for Data Centers

Contacts: Tucker Balch, Antigoni Polychroniadou

 

Heather Miller


Carnegie Mellon University

Distributed Data Structures for Federated Learning

Contacts: Joshua Lockhart, Antigoni Polychroniadou

 

Giulia Fanti


Carnegie Mellon University

Producing Privacy-Preserving, Synthetic Time Series Datasets with Generative Adversarial Networks

Contacts: Vamsi Potluru, Yousef El-Laham

Rafail Ostrovsky


University of California, Los Angeles

CEDRIC: seCurE anD pRIvate Computation

Contacts: Antigoni Polychroniadou, Tucker Balch
 

Yan Liu


University of Southern California

Time Series Synthesization: Models, Evaluation Metrics and Benchmark Dataset

Contacts: Saumitra Mishra, Vamsi Potluru  
 

Daniela Rus


Massachusetts Institute of Technology

Auditable Debiased Decision Making

Contacts: Tucker Balch, Jason Long
 

Michael Mahoney


University of California, Berkeley

Interpretable machine learning methods for financial analytics

Contacts: Saumitra Mishra, Vamsi Potluru

 

Dawn Song


University of California, Berkeley

PrivShare: Privacy-preserving Data Analysis over Multiple Data Sources

Contacts: Antigoni Polychroniadou, Jacob Maat  
 

Shuran Song


Columbia University

Decoding Economic Trends with Human-in-the-loop Machine Perception

Contacts: Zhen Zeng, Joshua Lockhart

 

 

Economic Systems

Novella Bartolini


Sapienza University of Rome

Understanding interdependent market dynamics: vulnerabilities and opportunities

Contacts: Svitlana Vyetrenko, Tucker Balch  

Nathan Kallus


Cornell University

Offline Reinforcement Learning: Efficiency, Safety, Transparency, and Fairness

Contacts: Thomas Spooner, Daniele Magazzeni

 

Fernando Fernandez


Universidad Carlos III de Madrid

Adversarial Reinforcement Learning: Avoiding Malicious Behaviours

Contacts: Svitlana Vyetrenko, Kshama Dwarakanath

Sergey Levine


University of California, Berkeley

Offline Reinforcement Learning in Multi-Agent Networks: Smart Decisions from Logged Data

Contacts:


 

Chelsea Finn


Stanford University

Rapid and Robust Adaptation to Temporal Distribution Shift

Contacts: Sumitra Ganesh, Nelson Vadori
 

Rahul Savani


University of Liverpool

Robust Trading via Multi-Agent Adversarial Reinforcement Learning

Contacts: Svitlana Vyetrenko, Nelson Vadori

 

Nikolas Kantas


Imperial College London

Secure and Self-Optimizing Distributed Inference

Contacts: Vamsi Potluru, Yousef El-Laham
 

Zhangyang Wang


University of Texas at Austin

Learning Optimizers Made Adaptable and Applicable to Multi-Agent Systems

Contacts: Svitlana Vyetrenko, Nelson Vadori

 

Cognitive Workflows (Employees)

Umut Acar


Carnegie Mellon University

Diderot: Building the Next Generation Education Platform

Contacts: Salwa Alamir, Sameena Shah



Dorsa Sadigh


Stanford University

Learning and Leveraging Representations in Repeated Multi-Agent Interactions

Contacts: Daniel Borrajo, Parisa Zehtabi  

 

Christina Lee Yu


Cornell University

Exploiting Low Rank Structure for Provably Efficient Reinforcement Learning

Contacts: Sumitra Ganesh, Thomas Spooner



 

Giuseppe De Giacomo


Sapienza University of Rome

Resilience-based Generalized Planning and Strategic Reasoning

Contacts: NSunandita Patra, Daniele Magazzeni


 

Laurence Tratt


King’s College London

MIG: Migrating Languages

Contacts: Natraj Raman, Sameena Shah



 

Subbarao Kambhampati


Arizona State University

Automated Extraction and Execution Support for Cognitive Workflows in Finance

Contacts: Daniel Borrajo, Alberto Pozanco Lancho

 

William Yang Wang


University of California, Santa Barbara

OpenFinQA: Open Financial Question Answering via Tables and Text

Contacts: Charese Smiley, Sameena Shah
 

Jay Pujara


University of Southern California

A Table Understanding Approach to Improving Quantitative Cognitive Workflows

Contacts: Armineh Nourbakhsh, Sameena Shah

 

Diyi Yang


Georgia Tech

Scalable Modeling of Financial Documents for Improved
Decision-Making

Contacts: Charese Smiley, Natraj Raman

 

Client Experience

Elias Bareinboim


Columbia University

Causal Reinforcement Learning for Optimal and Personalized Decision-Making

Contacts: Sumitra Ganesh, Vamsi Potluru

 

Sarit Kraus


Bar-Ilan University

Meta-agents for human-agent collaboration

Contacts: Danial Dervovic, Daniele Magazzeni


 

Jundong Li


University of Virginia

Usable, Interpretable, and Fair Causal Effects Learning for Financial Applications

Contacts: Tucker Balch, Antigoni Polychroniadou

 

Nishant Mehta


University of Victoria

Attention pays: learning a structured model of client interest for improved financial product recommendations

Contacts: Nishant Mehta, Vamsi Potluru
 

Policy Compliance

Elefelious Getachew Belay


Addis Ababa Institute of Technology

Exploring AI and Machine Learning Technologies to track Policy Compliance of Highly Trusted Parties (HTPs) and incidents of Fraud at selected banking Intuitions in Ethiopia

Contacts: Mahmoud Mahfouz, Daniele Magazzeni

 

Kamalakar Karlapalem


IIIT Hyderabad

Applied Semantics Extraction and Analytics over Banking Documents

Contacts: Natraj Raman, Zhiqiang Ma





 

Ethical AI

Sebastian Angel


University of Pennsylvania

Private Federated Analytics with Efficient Key Management

Contacts: Antigoni Polychroniadou, Sahar Mazloom



 

Genevera Allen


Rice University

Improving Fairness and Interpretability of AI Systems through Minipatch Learning

Contacts: Svitlana Vyetrenko, Kshama Dwarakanath

 

Thomas Ristenpart


Cornell University

Improving Tech Abuse Interventions with IPV Survivors

Contacts: Antigoni Polychroniadou, Zhen Zeng



 

Xia Hu


Rice University

Multi-Aspect Interpretation Framework for Understanding AI Models on Financial Adverse Actions

Contacts: Saumitra Mishra, Cecilia Tilli
 

Dana Dachman-Soled


University of Maryland

Joint Fairness and Privacy Design for Financial Machine Learning Algorithms

Contacts: Danial Dervovic, Ivan Bruguer


 

Lin Tan


Purdue University

Testing and Improving the Fairness and Correctness of AI Systems: A Variance Perspective

Contacts: Salwa Alamir, Sameena Shah

 

Julia Stoyanovich


New York University

Nutritional Labels for Financial Products and Credit Decisions: Strengthening Accountability Through Public Disclosure

Contacts: Naftali Cohen, Danial Dervovic