Shubhi Asthana

According to our database, Shubhi Asthana authored at least 25 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

2023

Sustainable AI - Standards, Current Practices and Recommendations.

Indervir Singh Banipal, Shubhi Asthana, Sourav Mazumder

Proceedings of the Future Technologies Conference, 2023

IDMU: Impact Driven Machine Unlearning.

Shubhi Asthana, Bing Zhang, Ruchi Mahindru, Indervir Singh Banipal, Pawan Chowdhary

Proceedings of the IEEE International Conference on Big Data, 2023

2022

CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture.

Vikram Nitin, Shubhi Asthana, Baishakhi Ray, Rahul Krishna

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Mapping of Financial Services datasets using Human-in-the-Loop.

Shubhi Asthana, Ruchi Mahindru

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

Smart System for Multi-Cloud Pathways.

Indervir Singh Banipal, Shubhi Asthana

Proceedings of the IEEE International Conference on Big Data, 2022

System and Method on Order Management Using Neural Networks and Risk Modeling.

Shubhi Asthana, Bing Zhang, Pawan Chowdhary, Taiga Nakamura

Proceedings of the IEEE International Conference on Big Data, 2022

Integrated Data Mapping Engine (DaME) for Financial Services.

Shubhi Asthana, Ruchi Mahindru

Proceedings of the IEEE International Conference on Big Data, 2022

2021

ML Model Change Detection and Versioning Service.

Shubhi Asthana, Shikhar Kwatra, Sushain Pandit

Proceedings of the IEEE International Conference on Smart Data Services, 2021

Cognitive Advisory Agent.

Shubhi Asthana, Shikhar Kwatra

Proceedings of the IEEE International Conference on Smart Data Services, 2021

Joint time-series learning framework for maximizing purchase order renewals.

Shubhi Asthana, Pawan Chowdhary, Indervir Singh Banipal, Shikhar Kwatra, Taiga Nakamura

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Analytics and Operations Research Increases Win Rates for IBM's Information Technology Service Deals.

Aly Megahed, Taiga Nakamura, Mark Smith, Shubhi Asthana, Michael Rose, Maja Daczkowska, Sandeep Gopisetty

INFORMS J. Appl. Anal., 2020

Multi-cloud Solution Design for Migrating a Portfolio of Applications to the Cloud.

Shubhi Asthana, Aly Megahed, Ilyas Iyoob

Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020

A Cloud-Migration Feasibility Advisor.

Shubhi Asthana, Aly Megahed, Ilyas Iyoob

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

Human-in-the-Loop Business Modelling for Emergent External Factors.

Shubhi Asthana, Shikhar Kwatra, Christine T. Wolf, Pawan Chowdhary, Taiga Nakamura

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Diagnosis of Neural Network via Backward Deduction.

Peifeng Yin, Lei Huang, Sunhwan Lee, Mu Qiao, Shubhi Asthana, Taiga Nakamura

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Winnability Prediction for IT Services Bids.

Pei Guo, Aly Megahed, Shubhi Asthana, Paul R. Messinger

Proceedings of the 2019 IEEE International Conference on Services Computing, 2019

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

Proceedings of the 2018 IEEE International Conference on Services Computing, 2018

Solutioning of Highly-Valued IT Service Contracts.

Shubhi Asthana, Aly Megahed, Ahmed Nazeem, Valeria Becker, Taiga Nakamura, Sandeep Gopisetty

Proceedings of the 2018 IEEE International Conference on Services Computing, 2018

2017

A method for estimating annual cost reduction of IT service deals.

Kugamoorthy Gajananan, Aly Megahed, Shubhi Asthana, Valeria Becker, Taiga Nakamura, Mark Smith

Proceedings of the 2017 IEEE International Conference on Service Operations and Logistics, 2017

A Method for Selecting Peer Deals in IT Service Contracts.

Aly Megahed, Shubhi Asthana, Valeria Becker, Taiga Nakamura, Kugamoorthy Gajananan

Proceedings of the IEEE International Conference on AI & Mobile Services, 2017

A Recommendation System for Proactive Health Monitoring Using IoT and Wearable Technologies.

Shubhi Asthana, Aly Megahed, Ray Strong

Proceedings of the IEEE International Conference on AI & Mobile Services, 2017

A Cognitive Prioritization for Reports Generated in Resource Constrained Applications.

Shubhi Asthana, Aly Megahed, Valeria Becker, Taiga Nakamura, Kugamoorthy Gajananan

Proceedings of the 2017 IEEE International Conference on Services Computing, 2017

2016

HealthAdvisor: Recommendation System for Wearable Technologies enabling Proactive Health Monitoring.

Shubhi Asthana, Ray Strong, Aly Megahed

CoRR, 2016

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, Taiga Nakamura

Proceedings of the Service-Oriented Computing - 14th International Conference, 2016