Top-Down Pricing of IT Services Deals with Recommendation for Missing Values of Historical and Market Data. - Aly Megahed; Kugamoorthy Gajananan; Shubhi Asthana; Valeria Becker; Mark Smith 002; Taiga Nakamura (ICSOC, 2016)

HealthAdvisor: Recommendation System for Wearable Technologies enabling Proactive Health Monitoring. - Shubhi Asthana; Ray Strong; Aly Megahed (CoRR, 2016)

A Cognitive Prioritization for Reports Generated in Resource Constrained Applications. - Shubhi Asthana; Aly Megahed; Valeria Becker; Taiga Nakamura; Kugamoorthy Gajananan (SCC, 2017)

A Recommendation System for Proactive Health Monitoring Using IoT and Wearable Technologies. - Shubhi Asthana; Aly Megahed; Ray Strong (AIMS@SERVICES, 2017)

A Method for Selecting Peer Deals in IT Service Contracts. - Aly Megahed; Shubhi Asthana; Valeria Becker; Taiga Nakamura; Kugamoorthy Gajananan (AIMS@SERVICES, 2017)

A method for estimating annual cost reduction of IT service deals. - Kugamoorthy Gajananan; Aly Megahed; Shubhi Asthana; Valeria Becker; Taiga Nakamura; Mark Smith 002 (SOLI, 2017)

Solutioning of Highly-Valued IT Service Contracts. - Shubhi Asthana; Aly Megahed; Ahmed Nazeem; Valeria Becker; Taiga Nakamura; Sandeep Gopisetty (SCC, 2018)

Using Energy Storage to Modify the Shape of Internally Generated Demand to Fit a Prescribed Shape for Externally Presented Demand. - Ray Strong; Shubhi Asthana; Eric Butler; Kevin Roche; Raphael Arar; Cheryl A. Kieliszewski; Pawan Chowdhary; Sandeep Gopisetty (SCC, 2018)

Winnability Prediction for IT Services Bids. - Pei Guo; Aly Megahed; Shubhi Asthana; Paul R. Messinger (SCC, 2019)

Diagnosis of Neural Network via Backward Deduction. - Peifeng Yin; Lei Huang 018; Sunhwan Lee; Mu Qiao; Shubhi Asthana; Taiga Nakamura (IEEE BigData, 2019)

Human-in-the-Loop Business Modelling for Emergent External Factors. - Shubhi Asthana; Shikhar Kwatra; Christine T. Wolf; Pawan Chowdhary; Taiga Nakamura (IEEE BigData, 2020)

A Cloud-Migration Feasibility Advisor. - Shubhi Asthana; Aly Megahed; Ilyas Iyoob (ICDCS, 2020)

Multi-cloud Solution Design for Migrating a Portfolio of Applications to the Cloud. - Shubhi Asthana; Aly Megahed; Ilyas Iyoob (ICSOC Workshops, 2020)

Analytics and Operations Research Increases Win Rates for IBM's Information Technology Service Deals. - Aly Megahed; Taiga Nakamura; Mark Smith 002; Shubhi Asthana; Michael Rose; Maja Daczkowska; Sandeep Gopisetty (INFORMS J. Appl. Anal., 2020)

Joint time-series learning framework for maximizing purchase order renewals. - Shubhi Asthana; Pawan Chowdhary; Indervir Singh Banipal; Shikhar Kwatra; Taiga Nakamura (IEEE BigData, 2021)

Cognitive Advisory Agent. - Shubhi Asthana; Shikhar Kwatra (SMDS, 2021)

ML Model Change Detection and Versioning Service. - Shubhi Asthana; Shikhar Kwatra; Sushain Pandit (SMDS, 2021)

Integrated Data Mapping Engine (DaME) for Financial Services. - Shubhi Asthana; Ruchi Mahindru (IEEE Big Data, 2022)

System and Method on Order Management Using Neural Networks and Risk Modeling. - Shubhi Asthana; Bing Zhang 021; Pawan Chowdhary; Taiga Nakamura (IEEE Big Data, 2022)

Smart System for Multi-Cloud Pathways. - Indervir Singh Banipal; Shubhi Asthana (IEEE Big Data, 2022)

Mapping of Financial Services datasets using Human-in-the-Loop. - Shubhi Asthana; Ruchi Mahindru (ICAIF, 2022)

CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture. - Vikram Nitin; Shubhi Asthana; Baishakhi Ray; Rahul Krishna (ASE, 2022)

IDMU: Impact Driven Machine Unlearning. - Shubhi Asthana; Bing Zhang; Ruchi Mahindru; Indervir Singh Banipal; Pawan Chowdhary (IEEE Big Data, 2023)

Sustainable AI - Standards, Current Practices and Recommendations. - Indervir Singh Banipal; Shubhi Asthana; Sourav Mazumder (FTC (1), 2023)

Context Aware Auto-AI Framework. - Indervir Singh Banipal; Shubhi Asthana; Sourav Mazumder; Nadiya Kochura (FICC (2), 2024)

Resource Provider Determination in Cloud Environments. - Indervir Singh Banipal; Shubhi Asthana; Sourav Mazumder; Nadiya Kochura (FICC (2), 2024)

Intelligent Code Comments Morphing and Generation. - Indervir Singh Banipal; Shubhi Asthana; Sourav Mazumder; Nadiya Kochura (FICC (2), 2024)

Cognitive Programming Assistant. - Indervir Singh Banipal; Shubhi Asthana; Sourav Mazumder; Nadiya Kochura (FICC (3), 2024)

Enterprise Benchmarks for Large Language Model Evaluation. - Bing Zhang; Mikio Takeuchi; Ryo Kawahara; Shubhi Asthana; Md. Maruf Hossain; Guang-Jie Ren; Kate Soule; Yada Zhu (CoRR, 2024)

Evaluating Large Language Models with Enterprise Benchmarks. - Bing Zhang; Mikio Takeuchi; Ryo Kawahara; Shubhi Asthana; Md. Maruf Hossain; Guang-Jie Ren; Kate Soule; Yifan Mai 001; Yada Zhu (NAACL (Industry Track), 2025)

Deploying Privacy Guardrails for LLMs: A Comparative Analysis of Real-World Applications. - Shubhi Asthana; Bing Zhang; Ruchi Mahindru; Chad DeLuca; Anna Lisa Gentile; Sandeep Gopisetty (CoRR, 2025)

Adaptive PII Mitigation Framework for Large Language Models. - Shubhi Asthana; Ruchi Mahindru; Bing Zhang; Jorge Sanz (CoRR, 2025)

OneShield - the Next Generation of LLM Guardrails. - Chad DeLuca; Anna Lisa Gentile; Shubhi Asthana; Bing Zhang; Pawan Chowdhary; Kellen Cheng; Basel Shbita; Pengyuan Li 001; Guang-Jie Ren; Sandeep Gopisetty (CoRR, 2025)