1 citations · 2 across the 3 of their papers we have counts for
5 papers
A Large-Scale Study on the Development and Issues of Multi-Agent AI Systems
Daniel Liu, Krishna Upadhyay, Vinaik Chhetri +2
The rapid emergence of multi-agent AI systems (MAS), including LangChain, CrewAI, and AutoGen, has shaped how large language model (LLM) applications are developed and orchestrated…
Teaching Quantum Computing through Lab-Integrated Learning: Bridging Conceptual and Computational Understanding
Umar Farooq, Krishna Upadhyay
Quantum computing education requires students to move beyond classical programming intuitions related to state, determinism, and debugging, and to develop reasoning skills grounded…
What Users Value and Critique: Large-Scale Analysis of User Feedback on AI-Powered Mobile Apps
Vinaik Chhetri, Krishna Upadhyay, A. B. Siddique +1
Artificial Intelligence (AI)-powered features have rapidly proliferated across mobile apps in various domains, including productivity, education, entertainment, and creativity. How…
Assessing and Enhancing Quantum Readiness in Mobile Apps
Joseph Strauss, Krishna Upadhyay, A. B. Siddique +2
Quantum computers threaten widely deployed cryptographic primitives such as RSA, DSA, and ECC. While NIST has released post-quantum cryptographic (PQC) standards (e.g., Kyber, Dili…
Analyzing the Evolution and Maintenance of Quantum Software Repositories
Krishna Upadhyay, Vinaik Chhetri, A. B. Siddique +1
Quantum computing is rapidly advancing, but quantum software development faces significant challenges, including a steep learning curve, high hardware error rates, and a lack of ma…