Virtual indurator: A tool for simulation of induration of wet iron ore pellets on a moving grate. - Sushanta Majumder; Pradeepkumar Vasant Natekar; Venkataramana Runkana (Comput. Chem. Eng., 2009)

Cascade Gaussian Process Regression Framework for Biomass Prediction in a Fed-batch Reactor. - Vishnu Swaroopji Masampally; Aditya Pareek; Venkataramana Runkana (SSCI, 2018)

Untargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series. - Pradeep Rathore; Arghya Basak; Sri Harsha Nistala; Venkataramana Runkana (IJCNN, 2020)

Multi Scale Graph Wavenet for Wind Speed Forecasting. - Neetesh Rathore; Pradeep Rathore; Arghya Basak; Sri Harsha Nistala; Venkataramana Runkana (IEEE BigData, 2021)

Universal Adversarial Attack on Deep Learning Based Prognostics. - Arghya Basak; Pradeep Rathore; Sri Harsha Nistala; Sagar Srinivas 001; Venkataramana Runkana (ICMLA, 2021)

Multi Scale Graph Wavenet for Spatio-temporal Wind Speed Forecasting. - Neetesh Rathore; Pradeep Rathore; Arghya Basak; Sri Harsha Nistala; Venkataramana Runkana (CoRR, 2021)

Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization. - Sakhinana Sagar Srinivas 001; Rajat Kumar Sarkar; Venkataramana Runkana (IEEE Big Data, 2022)

Semi-Supervised Cascaded Clustering for Classification of Noisy Label Data. - Ashit Gupta; Anirudh Deodhar; Tathagata Mukherjee; Venkataramana Runkana (CoRR, 2022)

Real-time Health Monitoring of Heat Exchangers using Hypernetworks and PINNs. - Ritam Majumdar; Vishal Jadhav; Anirudh Deodhar; Shirish Karande 001; Lovekesh Vig; Venkataramana Runkana (CoRR, 2022)

Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technolog. - Sakhinana Sagar Srinivas 001; Shivam Gupta; Krishna Sai Sudhir Aripirala; Venkataramana Runkana (AI4DT&CP@IJCAI, 2023)

A Model-driven Approach for Knowledge-based Engineering of Industrial Digital Twins. - Sushant Vale; Sreedhar Reddy; Sivakumar Subramanian; Subhrojyoti Roy Chaudhuri; Sri Harsha Nistala; Anirudh Deodhar; Venkataramana Runkana (MODELS, 2023)

Symbolic Regression for PDEs using Pruned Differentiable Programs. - Ritam Majumdar; Vishal Jadhav; Anirudh Deodhar; Shirish Karande 001; Lovekesh Vig; Venkataramana Runkana (CoRR, 2023)

HyperLoRA for PDEs. - Ritam Majumdar; Vishal Jadhav; Anirudh Deodhar; Shirish Karande 001; Lovekesh Vig; Venkataramana Runkana (CoRR, 2023)

Redefining Super-Resolution: Fine-mesh PDE predictions without classical simulations. - Rajat Kumar Sarkar; Ritam Majumdar; Vishal Jadhav; Sakhinana Sagar Srinivas 001; Venkataramana Runkana (CoRR, 2023)

Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis. - Sakhinana Sagar Srinivas 001; Geethan Sannidhi; Venkataramana Runkana (AAAI Spring Symposia, 2024)

Design and Optimization of Heat Exchangers Using Large Language Models. - Sandeep Mishra; Vishal Jadhav; Shirish S. Karande; Venkataramana Runkana (KiL@KDD, 2024)

PointSAGE: Mesh-independent superresolution approach to fluid flow predictions. - Rajat Kumar Sarkar; Krishna Sai Sudhir Aripirala; Vishal Sudam Jadhav; Sagar Srinivas 001; Venkataramana Runkana (CoRR, 2024)

Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimation. - Sakhinana Sagar Srinivas 001; Rajat Kumar Sarkar; Venkataramana Runkana (CoRR, 2024)

Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes. - Sakhinana Sagar Srinivas 001; Rajat Kumar Sarkar; Sreeja Gangasani; Venkataramana Runkana (CoRR, 2024)

Crossing New Frontiers: Knowledge-Augmented Large Language Model Prompting for Zero-Shot Text-Based De Novo Molecule Design. - Sakhinana Sagar Srinivas 001; Venkataramana Runkana (CoRR, 2024)

Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning. - Sakhinana Sagar Srinivas 001; Krishna Sai Sudhir Aripirala; Shivam Gupta; Venkataramana Runkana (CoRR, 2024)

Multi-Knowledge Fusion Network for Time Series Representation Learning. - Sakhinana Sagar Srinivas 001; Shivam Gupta; Krishna Sai Sudhir Aripirala; Venkataramana Runkana (CoRR, 2024)

Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technology. - Sakhinana Sagar Srinivas 001; Krishna Sai Sudhir Aripirala; Shivam Gupta; Venkataramana Runkana (CoRR, 2024)

Foundational Model for Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoption. - Sakhinana Sagar Srinivas 001; Chidaksh Ravuru; Geethan Sannidhi; Venkataramana Runkana (CoRR, 2024)

Retrieval-Augmented Generation Meets Data-Driven Tabula Rasa Approach for Temporal Knowledge Graph Forecasting. - Geethan Sannidhi; Sakhinana Sagar Srinivas 001; Venkataramana Runkana (CoRR, 2024)

Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models. - Sakhinana Sagar Srinivas 001; Geethan Sannidhi; Sreeja Gangasani; Chidaksh Ravuru; Venkataramana Runkana (CoRR, 2024)

Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal Time Series Analysis in Low-Resource Settings. - Sakhinana Sagar Srinivas 001; Geethan Sannidhi; Chidaksh Ravuru; Venkataramana Runkana (CoRR, 2024)

Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models. - Sagar Srinivas 001; Geethan Sannidhi; Venkataramana Runkana (CoRR, 2024)

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. - Sakhinana Sagar Srinivas 001; Chidaksh Ravuru; Geethan Sannidhi; Venkataramana Runkana (CoRR, 2024)

Agentic Retrieval-Augmented Generation for Time Series Analysis. - Chidaksh Ravuru; Sakhinana Sagar Srinivas 001; Venkataramana Runkana (CoRR, 2024)

Knowledge Graph Modeling-Driven Large Language Model Operating System (LLM OS) for Task Automation in Process Engineering Problem-Solving. - Sakhinana Sagar Srinivas 001; Vijay Sri Vaikunth; Venkataramana Runkana (CoRR, 2024)

Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning. - Sakhinana Sagar Srinivas 001; Venkataramana Runkana (CoRR, 2024)

Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis. - Sakhinana Sagar Srinivas 001; Chidaksh Ravuru; Geethan Sannidhi; Venkataramana Runkana (CoRR, 2024)

Retrieval-Augmented Instruction Tuning for Automated Process Engineering Calculations : A Tool-Chaining Problem-Solving Framework with Attributable Reflection. - Sakhinana Sagar Srinivas 001; Geethan Sannidhi; Venkataramana Runkana (CoRR, 2024)

Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question Answering. - Sakhinana Sagar Srinivas 001; Geethan Sannidhi; Venkataramana Runkana (CoRR, 2024)

EMCNet : Graph-Nets for Electron Micrographs Classification. - Sakhinana Sagar Srinivas 001; Rajat Kumar Sarkar; Venkataramana Runkana (CoRR, 2024)

Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis. - Sakhinana Sagar Srinivas 001; Geethan Sannidhi; Sreeja Gangasani; Chidaksh Ravuru; Venkataramana Runkana (CoRR, 2024)

Towards Automated Patent Workflows: AI-Orchestrated Multi-Agent Framework for Intellectual Property Management and Analysis. - Sakhinana Sagar Srinivas 001; Vijay Sri Vaikunth; Venkataramana Runkana (CoRR, 2024)

Accelerating Manufacturing Scale-Up from Material Discovery Using Agentic Web Navigation and Retrieval-Augmented AI for Process Engineering Schematics Design. - Sakhinana Sagar Srinivas 001; Akash Das; Shivam Gupta; Venkataramana Runkana (CoRR, 2024)

Two-level Solar Irradiance Clustering with Season Identification: A Comparative Analysis. - Roshni Agrawal; Sivakumar Subramanian; Venkataramana Runkana (CoRR, 2025)

Virtual metrology for chemical mechanical planarization of semiconductor wafers. - Balamurugan Deivendran; Vishnu Swaroopji Masampally; Naga Ravikumar Varma Nadimpalli; Venkataramana Runkana (J. Intell. Manuf., 2025)

Agentic Multimodal AI for Hyperpersonalized B2B and B2C Advertising in Competitive Markets: An AI-Driven Competitive Advertising Framework. - Sakhinana Sagar Srinivas 001; Akash Das; Shivam Gupta; Venkataramana Runkana (CoRR, 2025)

Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding. - Sakhinana Sagar Srinivas 001; Venkataramana Runkana (CoRR, 2025)

AutoChemSchematic AI: A Closed-Loop, Physics-Aware Agentic Framework for Auto-Generating Chemical Process and Instrumentation Diagrams. - Sakhinana Sagar Srinivas 001; Shivam Gupta; Venkataramana Runkana (CoRR, 2025)