activity
20232026
collaborators

9 papers

cs.AI2026

Certifying Interventional Agreement Among Observationally Equivalent Causal Models

Sourena Khanzadeh, Daniel Platnick, Marjan Alirezaie +1

Observationally equivalent causal models can still disagree about what happens under intervention, because interventions create inputs that never occur in observational data. We in…

cs.AI2026

Escaping Python Dependency Hell: A Hybrid Replay-and-Repair Pipeline for Python Dependency Resolution

Veronica Poweska, Ariana Oyanguren, Jessica Pourleyli +2

Dependency conflicts in Python ecosystems arise from incompatible version constraints, missing packages, and undocumented compatibility relationships, causing many real-world code…

cs.AI2026

Selective Forgetting: A Graph-Based Memory Framework for Long-Term LLM Agents

Theo Rusu, Sourena Khanzadeh, Manar Alalfi

Knowledge graphs have been proposed as a structured alternative to flat retrieval-augmented generation for long-term agent memory, on the assumption that representing conversations…

cs.AI2026

Share No More Than the Request Requires: Federated Disclosure for Perspective-Aware AI

Sourena Khanzadeh, Daniel Platnick, Marjan Alirezaie +1

Modern AI systems bring societal risks such as mass surveillance, extreme concentrations of power, and loss of user autonomy---calling into question a model where third-parties col…

cs.AI2026

Project Ariadne: A Structural Causal Framework for Auditing Faithfulness in LLM Agents

Sourena Khanzadeh

As Large Language Model (LLM) agents are increasingly tasked with high-stakes autonomous decision-making, the transparency of their reasoning processes has become a critical safety…

cs.AI2025

Breadth-First Search vs. Restarting Random Walks for Escaping Uninformed Heuristic Regions

Daniel Platnick, Dawson Tomasz, Eamon Earl +2

Greedy search methods like Greedy Best-First Search (GBFS) and Enforced Hill-Climbing (EHC) often struggle when faced with Uninformed Heuristic Regions (UHRs) like heuristic local…

cs.SE2025

AgentMesh: A Cooperative Multi-Agent Generative AI Framework for Software Development Automation

Sourena Khanzadeh

Software development is a complex, multi-phase process traditionally requiring collaboration among individuals with diverse expertise. We propose AgentMesh, a Python-based framewor…

cs.LG2024

GANsemble for Small and Imbalanced Data Sets: A Baseline for Synthetic Microplastics Data

Daniel Platnick, Sourena Khanzadeh, Alireza Sadeghian +1

Microplastic particle ingestion or inhalation by humans is a problem of growing concern. Unfortunately, current research methods that use machine learning to understand their poten…

cs.SE2023

Opti Code Pro: A Heuristic Search-based Approach to Code Refactoring

Sourena Khanzadeh, Samad Alias Nyein Chan, Richard Valenzano +1

This paper presents an approach that evaluates best-first search methods to code refactoring. The motivation for code refactoring could be to improve the design, structure, or impl…