Sakhinana Sagar Srinivas

30 papers B 1Journal 27Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Agentic Multimodal AI for Hyperpersonalized B2B and B2C Advertising in Competitive Markets: An AI-Driven Competitive Advertising Framework. CoRR Sakhinana Sagar Srinivas, Akash Das, Shivam Gupta, Venkataramana Runkana
2025	J	`jnl`	AutoChemSchematic AI: A Closed-Loop, Physics-Aware Agentic Framework for Auto-Generating Chemical Process and Instrumentation Diagrams. CoRR Sakhinana Sagar Srinivas, Shivam Gupta, Venkataramana Runkana
2025	J	`jnl`	Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding. CoRR Sakhinana Sagar Srinivas, Venkataramana Runkana
2024	J	`jnl`	Accelerating Manufacturing Scale-Up from Material Discovery Using Agentic Web Navigation and Retrieval-Augmented AI for Process Engineering Schematics Design. CoRR Sakhinana Sagar Srinivas, Akash Das, Shivam Gupta, Venkataramana Runkana
2024	J	`jnl`	Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal Time Series Analysis in Low-Resource Settings. CoRR Sakhinana Sagar Srinivas, Geethan Sannidhi, Chidaksh Ravuru, Venkataramana Runkana
2024	J	`jnl`	Agentic Retrieval-Augmented Generation for Time Series Analysis. CoRR Chidaksh Ravuru, Sakhinana Sagar Srinivas, Venkataramana Runkana
2024	J	`jnl`	Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimation. CoRR Sakhinana Sagar Srinivas, Rajat Kumar Sarkar, Venkataramana Runkana
2024	J	`jnl`	Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning. CoRR Sakhinana Sagar Srinivas, Venkataramana Runkana
2024	J	`jnl`	Crossing New Frontiers: Knowledge-Augmented Large Language Model Prompting for Zero-Shot Text-Based De Novo Molecule Design. CoRR Sakhinana Sagar Srinivas, Venkataramana Runkana
2024	J	`jnl`	EMCNet : Graph-Nets for Electron Micrographs Classification. CoRR Sakhinana Sagar Srinivas, Rajat Kumar Sarkar, Venkataramana Runkana
2024	J	`jnl`	Foundational Model for Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoption. CoRR Sakhinana Sagar Srinivas, Chidaksh Ravuru, Geethan Sannidhi, Venkataramana Runkana
2024	J	`jnl`	Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization. CoRR Sakhinana Sagar Srinivas, Rajat Kumar Sarkar, Venkataramana Runkana
2024	J	`jnl`	Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technology. CoRR Sakhinana Sagar Srinivas, Krishna Sai Sudhir Aripirala, Shivam Gupta, Venkataramana Runkana
2024	J	`jnl`	Knowledge Graph Modeling-Driven Large Language Model Operating System (LLM OS) for Task Automation in Process Engineering Problem-Solving. CoRR Sakhinana Sagar Srinivas, Vijay Sri Vaikunth, Venkataramana Runkana
2024	J	`jnl`	Multi-Knowledge Fusion Network for Time Series Representation Learning. CoRR Sakhinana Sagar Srinivas, Shivam Gupta, Krishna Sai Sudhir Aripirala, Venkataramana Runkana
2024	—	`conf`	Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis. AAAI Spring Symposia Sakhinana Sagar Srinivas, Geethan Sannidhi, Venkataramana Runkana
2024	J	`jnl`	Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis. CoRR Sakhinana Sagar Srinivas, Geethan Sannidhi, Venkataramana Runkana
2024	J	`jnl`	Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning. CoRR Sakhinana Sagar Srinivas, Krishna Sai Sudhir Aripirala, Shivam Gupta, Venkataramana Runkana
2024	J	`jnl`	Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis. CoRR Sakhinana Sagar Srinivas, Chidaksh Ravuru, Geethan Sannidhi, Venkataramana Runkana
2024	J	`jnl`	Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models. CoRR Sakhinana Sagar Srinivas, Geethan Sannidhi, Sreeja Gangasani, Chidaksh Ravuru, Venkataramana Runkana
2024	J	`jnl`	Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in Copilot-Guided Cross-Modal Time Series Representation Learning. CoRR Sakhinana Sagar Srinivas, Chidaksh Ravuru, Geethan Sannidhi, Venkataramana Runkana
2024	J	`jnl`	Retrieval-Augmented Generation Meets Data-Driven Tabula Rasa Approach for Temporal Knowledge Graph Forecasting. CoRR Geethan Sannidhi, Sakhinana Sagar Srinivas, Venkataramana Runkana
2024	J	`jnl`	Retrieval-Augmented Instruction Tuning for Automated Process Engineering Calculations : A Tool-Chaining Problem-Solving Framework with Attributable Reflection. CoRR Sakhinana Sagar Srinivas, Geethan Sannidhi, Venkataramana Runkana
2024	J	`jnl`	Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis. CoRR Sakhinana Sagar Srinivas, Geethan Sannidhi, Sreeja Gangasani, Chidaksh Ravuru, Venkataramana Runkana
2024	J	`jnl`	Towards Automated Patent Workflows: AI-Orchestrated Multi-Agent Framework for Intellectual Property Management and Analysis. CoRR Sakhinana Sagar Srinivas, Vijay Sri Vaikunth, Venkataramana Runkana
2024	J	`jnl`	Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question Answering. CoRR Sakhinana Sagar Srinivas, Geethan Sannidhi, Venkataramana Runkana
2024	J	`jnl`	Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes. CoRR Sakhinana Sagar Srinivas, Rajat Kumar Sarkar, Sreeja Gangasani, Venkataramana Runkana
2023	—	`conf`	Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technolog. AI4DT&CP@IJCAI Sakhinana Sagar Srinivas, Shivam Gupta, Krishna Sai Sudhir Aripirala, Venkataramana Runkana
2023	J	`jnl`	Redefining Super-Resolution: Fine-mesh PDE predictions without classical simulations. CoRR Rajat Kumar Sarkar, Ritam Majumdar, Vishal Jadhav, Sakhinana Sagar Srinivas, Venkataramana Runkana
2022	B	`conf`	Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization. IEEE Big Data Sakhinana Sagar Srinivas, Rajat Kumar Sarkar, Venkataramana Runkana