207 citations · 247 across the 16 of their papers we have counts for
17 papers
Pedagogical AI in Mental Health: A Tri-Stream Fine-Tuned LLM Framework for Automated Clinical Supervision and Risk Triage
Shreeya Sharma, Ravish Gupta, Saket Kumar +1
Modern mental healthcare faces a critical shortage of senior supervisory oversight, leading to a "supervision gap" where novice therapists manage high-stakes risks with delayed pro…
Agentic AI for Clinical Urgency Mapping and Queue Optimization in High-Volume Outpatient Departments: A Simulation-Based Evaluation
Ravish Gupta, Saket Kumar, Maulik Dang
Outpatient departments (OPDs) in Indian public hospitals face severe overcrowding, with daily volumes reaching 200--8,000 patients~\cite{aiims2020annual}. The prevailing First-Come…
Agentic AI and Occupational Displacement: A Multi-Regional Task Exposure Analysis of Emerging Labor Market Disruption
Ravish Gupta, Saket Kumar
This paper extends the Acemoglu-Restrepo task exposure framework to address the labor market effects of agentic artificial intelligence systems: autonomous AI agents capable of com…
An Agentic Multi-Agent Architecture for Cybersecurity Risk Management
Ravish Gupta, Saket Kumar, Shreeya Sharma +2
Getting a real cybersecurity risk assessment for a small organization is expensive -- a NIST CSF-aligned engagement runs $15,000 on the low end, takes weeks, and depends on practit…
Evolution of AI Agent Registry Solutions: Centralized, Enterprise, and Distributed Approaches
Aditi Singh, Abul Ehtesham, Mahesh Lambe +8
Autonomous AI agents now operate across cloud, enterprise, and decentralized domains, creating demand for registry infrastructures that enable trustworthy discovery, capability neg…
Enhancing Clinical Decision Support and EHR Insights through LLMs and the Model Context Protocol: An Open-Source MCP-FHIR Framework
Abul Ehtesham, Aditi Singh, Saket Kumar
Enhancing clinical decision support (CDS), reducing documentation burdens, and improving patient health literacy remain persistent challenges in digital health. This paper presents…
A survey of agent interoperability protocols: Model Context Protocol (MCP), Agent Communication Protocol (ACP), Agent-to-Agent Protocol (A2A), and Agent Network Protocol (ANP)
Abul Ehtesham, Aditi Singh, Gaurav Kumar Gupta +1
Large language model powered autonomous agents demand robust, standardized protocols to integrate tools, share contextual data, and coordinate tasks across heterogeneous systems. A…
Pediatric Asthma Detection with Googles HeAR Model: An AI-Driven Respiratory Sound Classifier
Abul Ehtesham, Saket Kumar, Aditi Singh +1
Early detection of asthma in children is crucial to prevent long-term respiratory complications and reduce emergency interventions. This work presents an AI-powered diagnostic pipe…
NNN: Next-Generation Neural Networks for Marketing Measurement
Thomas Mulc, Mike Anderson, Paul Cubre +3
We present NNN, an experimental Transformer-based neural network approach to marketing measurement. Unlike Marketing Mix Models (MMMs) which rely on scalar inputs and parametric de…
A Survey of Large Language Model-Based Generative AI for Text-to-SQL: Benchmarks, Applications, Use Cases, and Challenges
Aditi Singh, Akash Shetty, Abul Ehtesham +2
Text-to-SQL systems facilitate smooth interaction with databases by translating natural language queries into Structured Query Language (SQL), bridging the gap between non-technica…
A Survey of Sustainability in Large Language Models: Applications, Economics, and Challenges
Aditi Singh, Nirmal Prakashbhai Patel, Abul Ehtesham +2
Large Language Models (LLMs) have transformed numerous domains by providing advanced capabilities in natural language understanding, generation, and reasoning. Despite their ground…
Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG
Aditi Singh, Abul Ehtesham, Saket Kumar +2
Large Language Models (LLMs) have advanced artificial intelligence by enabling human-like text generation and natural language understanding. However, their reliance on static trai…
Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries
Abul Ehtesham, Saket Kumar, Aditi Singh +1
Generative AI is reshaping the media landscape, enabling unprecedented capabilities in video creation, personalization, and scalability. This paper presents a comprehensive SWOT an…
Architectural Flaw Detection in Civil Engineering Using GPT-4
Saket Kumar, Abul Ehtesham, Aditi Singh +1
The application of artificial intelligence (AI) in civil engineering presents a transformative approach to enhancing design quality and safety. This paper investigates the potentia…
Exploring Prompt Engineering: A Systematic Review with SWOT Analysis
Aditi Singh, Abul Ehtesham, Gaurav Kumar Gupta +3
In this paper, we conduct a comprehensive SWOT analysis of prompt engineering techniques within the realm of Large Language Models (LLMs). Emphasizing linguistic principles, we exa…
Encouraging Responsible Use of Generative AI in Education: A Reward-Based Learning Approach
Aditi Singh, Abul Ehtesham, Saket Kumar +2
This research introduces an innovative mathematical learning approach that integrates generative AI to cultivate a structured learning rather than quick solution. Our method combin…
A Gated Recurrent Unit Approach to Bitcoin Price Prediction
Aniruddha Dutta, Saket Kumar, Meheli Basu
In today's era of big data, deep learning and artificial intelligence have formed the backbone for cryptocurrency portfolio optimization. Researchers have investigated various stat…