14 citations · 47 across the 14 of their papers we have counts for
17 papers
PRIME: Towards Verifiable Evidence-Grounded Reasoning in LLM Agents
Hamed Khosravi, Xiaoming Huo
LLM agents are used to check records against an organization's requirements, for example whether a vulnerability report is ready for investigation. Requirements often allow several…
Certified Corruption Budgets: Anytime-Valid Leaderboard Claims under Adaptive Rigging
Hamed Khosravi, Xiaoming Huo
Public leaderboards for AI models are read continuously, and attackers can see every published standing. Vote rigging, selective disclosure of private variants, and benchmark conta…
Rank Confidence Sequences:Anytime-valid Leaderboards
Hamed Khosravi, Xiaoming Huo
Leaderboards rank models by their average scores on benchmark items, and they are consulted repeatedly while the evaluation is still running. Existing confidence intervals for a mo…
Beyond "AI Helps Humans": Decision-Targeted Evaluation Design for Human-Agent Teams in the Agentic Era
Hamed Khosravi, Xiaoming Huo
Wherever a coding agent works under engineer supervision, or a clinical model assists a radiologist, the deployment question is whether to keep the human-AI workflow or replace it…
Which LLM for Which Work? Budgeted Model Allocation under Uncertain Evaluation
Hamed Khosravi, Xiaoming Huo
A company with a fixed artificial intelligence (AI) budget must decide which large language model (LLM) handles each recurring workload. What it lacks is the quality table, how wel…
Conformal Selective Acting: Anytime-Valid Risk Control for RLVR-Trained LLMs
Hamed Khosravi, Xiaoming Huo
A local specialist LLM, fine-tuned with reinforcement learning from verifiable rewards (RLVR) on operator-local data, is installed in a regulated organization with per-deployment e…
Catching a Moving Subspace: Low-Rank Bandits Beyond Stationarity
Hamed Khosravi, Xiaoming Huo
Many bandit deployments (recommendation, clinical dosing, ad targeting) share two facts prior work handles only in isolation: rewards live on a low-dimensional latent subspace, and…
KANGURA: Kolmogorov-Arnold Network-Based Geometry-Aware Learning with Unified Representation Attention for 3D Modeling of Complex Structures
Mohammad Reza Shafie, Morteza Hajiabadi, Hamed Khosravi +2
Microbial Fuel Cells (MFCs) offer a promising pathway for sustainable energy generation by converting organic matter into electricity through microbial processes. A key factor infl…
From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision Making
Avijit Saha Asru, Hamed Khosravi, Imtiaz Ahmed +1
Discovering novel materials with desired properties is essential for driving innovation. Industry 4.0 and smart manufacturing have promised transformative advances in this area thr…
LNUCB-TA: Linear-nonlinear Hybrid Bandit Learning with Temporal Attention
Hamed Khosravi, Mohammad Reza Shafie, Ahmed Shoyeb Raihan +2
Existing contextual multi-armed bandit (MAB) algorithms fail to effectively capture both long-term trends and local patterns across all arms, leading to suboptimal performance in e…
A Comprehensive Approach to Carbon Dioxide Emission Analysis in High Human Development Index Countries using Statistical and Machine Learning Techniques
Hamed Khosravi, Ahmed Shoyeb Raihan, Farzana Islam +2
Reducing Carbon dioxide (CO2) emission is vital at both global and national levels, given their significant role in exacerbating climate change. CO2 emission, stemming from a varie…
Binary Gaussian Copula Synthesis: an LLM-powered data augmentation framework for early dialysis prediction in chronic kidney disease
Hamed Khosravi, Milad Khanchi, Mobina Noori +3
Only a small fraction of patients with chronic kidney disease (CKD) progress to dialysis, creating severe class imbalance that limits the performance of machine learning models for…
An Augmented Surprise-guided Sequential Learning Framework for Predicting the Melt Pool Geometry
Ahmed Shoyeb Raihan, Hamed Khosravi, Tanveer Hossain Bhuiyan +1
Metal Additive Manufacturing (MAM) has reshaped the manufacturing industry, offering benefits like intricate design, minimal waste, rapid prototyping, material versatility, and cus…
Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization
Ahmed Shoyeb Raihan, Hamed Khosravi, Srinjoy Das +1
Advancements in materials play a crucial role in technological progress. However, the process of discovering and developing materials with desired properties is often impeded by su…
Building Energy Efficiency through Advanced Regression Models and Metaheuristic Techniques for Sustainable Management
Hamed Khosravi, Hadi Sahebi, Rahim khanizad +1
In the context of global sustainability, buildings are significant consumers of energy, emphasizing the necessity for innovative strategies to enhance efficiency and reduce environ…
A Data Driven Sequential Learning Framework to Accelerate and Optimize Multi-Objective Manufacturing Decisions
Hamed Khosravi, Taofeeq Olajire, Ahmed Shoyeb Raihan +1
Manufacturing advanced materials and products with a specific property or combination of properties is often warranted. To achieve that it is crucial to find out the optimum recipe…
Chatbots and ChatGPT: A Bibliometric Analysis and Systematic Review of Publications in Web of Science and Scopus Databases
Hamed Khosravi, Mohammad Reza Shafie, Morteza Hajiabadi +2
This paper presents a bibliometric analysis of the scientific literature related to chatbots, focusing specifically on ChatGPT. Chatbots have gained increasing attention recently,…