Towards next-generation alert management of data centers. - Praveen Venkateswaran; Aruna Malapati; Maitreya Natu; Vaishali P. Sadaphal (COMSNETS, 2016)

Domain Driven Forecasting: Applying Theory Into Practice. - Praveen Venkateswaran; Vikrant Shimpi; Maitreya Natu; Vaishali P. Sadaphal (ICDM Workshops, 2016)

Touch To Talk: A Wearable Representing Social Media Metaphors. - Saumya Gupta; Praveen Venkateswaran; Shruti Khurana; Sindhuri Rayavaram (CHI Extended Abstracts, 2018)

Impact driven sensor placement for leak detection in community water networks. - Praveen Venkateswaran; Qing Han; Ronald T. Eguchi; Nalini Venkatasubramanian (ICCPS, 2018)

Augmenting in-situ with mobile sensing for adaptive monitoring of water distribution networks. - Praveen Venkateswaran; Mahima Agumbe Suresh; Nalini Venkatasubramanian (ICCPS, 2019)

REAM: Resource Efficient Adaptive Monitoring of Community Spaces at the Edge Using Reinforcement Learning. - Praveen Venkateswaran; Cheng-Hsin Hsu; Sharad Mehrotra; Nalini Venkatasubramanian (SMARTCOMP, 2020)

Robust and Generalizable Predictive Models for Business Processes. - Praveen Venkateswaran; Vinod Muthusamy; Vatche Isahagian; Nalini Venkatasubramanian (BPM, 2021)

Environment Agnostic Invariant Risk Minimization for Classification of Sequential Datasets. - Praveen Venkateswaran; Vinod Muthusamy; Vatche Isahagian; Nalini Venkatasubramanian (KDD, 2021)

REAM: A Framework for Resource Efficient Adaptive Monitoring of Community Spaces. - Praveen Venkateswaran; Kyle E. Benson; Chia-Ying Hsieh; Cheng-Hsin Hsu; Sharad Mehrotra; Nalini Venkatasubramanian (Pervasive Mob. Comput., 2021)

Leveraging Community Structure and Behavior for Smart Infrastructure. - Praveen Venkateswaran (2021)

Can You Teach Robotic Process Automation Bots New Tricks? - Yara Rizk; Praveen Venkateswaran; Vatche Isahagian; Vinod Muthusamy; Kartik Talamadupula (BPM (Blockchain and RPA Forum), 2022)

Towards Continual Learning in Interactive Digital Assistants for Process Automation. - Praveen Venkateswaran; Vinod Muthusamy; Yara Rizk; Vatche Isahagian (PMAI@IJCAI, 2022)

T2C: A Multi-User System for Deploying DNNs in a Thing-to-Cloud Continuum. - Chia-Ying Hsieh; Praveen Venkateswaran; Nalini Venkatasubramanian; Cheng-Hsin Hsu (MSN, 2022)

A Case for Business Process-Specific Foundation Models. - Yara Rizk; Praveen Venkateswaran; Vatche Isahagian; Vinod Muthusamy (CoRR, 2022)

FedGen: Generalizable Federated Learning. - Praveen Venkateswaran; Vatche Isahagian; Vinod Muthusamy; Nalini Venkatasubramanian (CoRR, 2022)

FedGen: Generalizable Federated Learning for Sequential Data. - Praveen Venkateswaran; Vatche Isahagian; Vinod Muthusamy; Nalini Venkatasubramanian (CLOUD, 2023)

A Case for Business Process-Specific Foundation Models. - Yara Rizk; Praveen Venkateswaran; Vatche Isahagian; Austin Narcomey; Vinod Muthusamy (Business Process Management Workshops, 2023)

TaskDiff: A Similarity Metric for Task-Oriented Conversations. - Ankita Bhaumik; Praveen Venkateswaran; Yara Rizk; Vatche Isahagian (EMNLP, 2023)

Towards large language model-based personal agents in the enterprise: Current trends and open problems. - Vinod Muthusamy; Yara Rizk; Kiran Kate; Praveen Venkateswaran; Vatche Isahagian; Ashu Gulati; Parijat Dube (EMNLP (Findings), 2023)

DiSTRICT: Dialogue State Tracking with Retriever Driven In-Context Tuning. - Praveen Venkateswaran; Evelyn Duesterwald; Vatche Isahagian (EMNLP, 2023)

Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search. - Walter Gerych; Yara Rizk; Vatche Isahagian; Vinod Muthusamy; Evelyn Duesterwald; Praveen Venkateswaran (AAAI, 2024)

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. - Ibrahim Abdelaziz; Kinjal Basu 002; Mayank Agarwal; Sadhana Kumaravel; Matthew Stallone; Rameswar Panda; Yara Rizk; G. P. Shrivatsa Bhargav; Maxwell Crouse; R. Chulaka Gunasekara; Shajith Ikbal; Sachindra Joshi; et al. (EMNLP (Industry Track), 2024)

A Conversational Assistant Framework for Automation. - Evelyn Duesterwald; Vatche Isahagian; K. R. Jayaram; Ritesh Kumar; Vinod Muthusamy; Punleuk Oum; Gegi Thomas; Praveen Venkateswaran (Middleware Industry, 2024)

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks. - Ibrahim Abdelaziz; Kinjal Basu 002; Mayank Agarwal; Sadhana Kumaravel; Matthew Stallone; Rameswar Panda; Yara Rizk; GP Bhargav; Maxwell Crouse; R. Chulaka Gunasekara; Shajith Ikbal; Sachin Joshi; et al. (CoRR, 2024)

Evaluating the Instruction-following Abilities of Language Models using Knowledge Tasks. - Rudra Murthy; Prince Kumar; Praveen Venkateswaran; Danish Contractor (CoRR, 2024)

OptiSeq: Optimizing Example Ordering for In-Context Learning. - Rahul Atul Bhope; Praveen Venkateswaran; K. R. Jayaram; Vatche Isahagian; Vinod Muthusamy; Nalini Venkatasubramanian (CoRR, 2025)

FLOW-BENCH: Towards Conversational Generation of Enterprise Workflows. - Evelyn Duesterwald; Siyu Huo; Vatche Isahagian; K. R. Jayaram; Ritesh Kumar; Vinod Muthusamy; Punleuk Oum; Debashish Saha; Gegi Thomas; Praveen Venkateswaran (CoRR, 2025)

Spotlight Your Instructions: Instruction-following with Dynamic Attention Steering. - Praveen Venkateswaran; Danish Contractor (CoRR, 2025)

Shift Happens: Mixture of Experts based Continual Adaptation in Federated Learning. - Rahul Atul Bhope; K. R. Jayaram; Praveen Venkateswaran; Nalini Venkatasubramanian (CoRR, 2025)