Venkataramana Runkana

51 papers A 1B 2C 1Journal 41Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi Objective Design Optimization of Non Pneumatic Passenger Car Tires Using Finite Element Modeling, Machine Learning, and Particle swarm Optimization and Bayesian Optimization Algorithms. CoRR Priyankkumar Dhrangdhariya, Soumyadipta Maiti, Venkataramana Runkana
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
2025	J	`jnl`	Thought-For-Food: Reasoning Chain Induced Food Visual Question Answering. CoRR Riddhi Jain, Manasi Patwardhan, Parijat Deshpande, Venkataramana Runkana
2025	—	`conf`	Thought-for-Food: Reasoning Chain Induced Food Visual Question Answering. ICDM (Workshops) Riddhi Jain, Manasi Patwardhan, Parijat Deshpande, Venkataramana Runkana
2025	J	`jnl`	Two-level Solar Irradiance Clustering with Season Identification: A Comparative Analysis. CoRR Roshni Agrawal, Sivakumar Subramanian, Venkataramana Runkana
2025	J	`jnl`	Virtual metrology for chemical mechanical planarization of semiconductor wafers. J. Intell. Manuf. Balamurugan Deivendran, Vishnu Swaroopji Masampally, Naga Ravikumar Varma Nadimpalli, 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	—	`conf`	Design and Optimization of Heat Exchangers Using Large Language Models. KiL@KDD Sandeep Mishra, Vishal Jadhav, Shirish S. Karande, 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`	Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models. CoRR Sagar Srinivas, 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`	PointSAGE: Mesh-independent superresolution approach to fluid flow predictions. CoRR Rajat Kumar Sarkar, Krishna Sai Sudhir Aripirala, Vishal Sudam Jadhav, Sagar Srinivas, 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	A	`conf`	A Model-driven Approach for Knowledge-based Engineering of Industrial Digital Twins. MODELS Sushant Vale, Sreedhar Reddy, Sivakumar Subramanian, Subhrojyoti Roy Chaudhuri, Sri Harsha Nistala, Anirudh Deodhar, Venkataramana Runkana
2023	J	`jnl`	HyperLoRA for PDEs. CoRR Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, 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
2023	J	`jnl`	Symbolic Regression for PDEs using Pruned Differentiable Programs. CoRR Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, 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
2022	J	`jnl`	Real-time Health Monitoring of Heat Exchangers using Hypernetworks and PINNs. CoRR Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig, Venkataramana Runkana
2022	J	`jnl`	Semi-Supervised Cascaded Clustering for Classification of Noisy Label Data. CoRR Ashit Gupta, Anirudh Deodhar, Tathagata Mukherjee, Venkataramana Runkana
2021	J	`jnl`	Multi Scale Graph Wavenet for Spatio-temporal Wind Speed Forecasting. CoRR Neetesh Rathore, Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana
2021	—	`conf`	Multi Scale Graph Wavenet for Wind Speed Forecasting. IEEE BigData Neetesh Rathore, Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana
2021	C	`conf`	Universal Adversarial Attack on Deep Learning Based Prognostics. ICMLA Arghya Basak, Pradeep Rathore, Sri Harsha Nistala, Sagar Srinivas, Venkataramana Runkana
2021	J	`jnl`	Universal Adversarial Attack on Deep Learning Based Prognostics. CoRR Arghya Basak, Pradeep Rathore, Sri Harsha Nistala, Sagar Srinivas, Venkataramana Runkana
2021	J	`jnl`	Untargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series. CoRR Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana
2020	B	`conf`	Untargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series. IJCNN Pradeep Rathore, Arghya Basak, Sri Harsha Nistala, Venkataramana Runkana
2018	—	`conf`	Cascade Gaussian Process Regression Framework for Biomass Prediction in a Fed-batch Reactor. SSCI Vishnu Swaroopji Masampally, Aditya Pareek, Venkataramana Runkana
2009	J	`jnl`	Virtual indurator: A tool for simulation of induration of wet iron ore pellets on a moving grate. Comput. Chem. Eng. Sushanta Majumder, Pradeepkumar Vasant Natekar, Venkataramana Runkana