nPlug: a smart plug for alleviating peak loads. - Tanuja Ganu; Jagabondhu Hazra; Deva P. Seetharam; Saiful A. Husain; Vijay Arya; Liyanage Chandratilake De Silva; Rajesh Kunnath; Shivkumar Kalyanaraman (e-Energy, 2012)

Evaluating demand response programs by means of key performance indicators. - George A. Thanos; Marilena Minou; Tanuja Ganu; Vijay Arya; Dipanjan Chakraborty 001; Jan van Deventer; George D. Stamoulis (COMSNETS, 2013)

Hidden costs of power cuts and battery backups. - Deva P. Seetharam; Ankit Agrawal 004; Tanuja Ganu; Jagabondhu Hazra; Venkat Rajaraman; Rajesh Kunnath (e-Energy, 2013)

Sparse Max-Margin Multiclass and Multi-label Classifier Design for Fast Inference. - Tanuja Ganu; Sundararajan Sellamanickam; Shirish K. Shevade (SDM, 2013)

DRSim: A cyber physical simulator for Demand Response systems. - Tri Kurniawan Wijaya; Dipyaman Banerjee; Tanuja Ganu; Dipanjan Chakraborty 001; Sourav Battacharya; Thanasis G. Papaioannou; Deva P. Seetharam; Karl Aberer (SmartGridComm, 2013)

nPlug: An Autonomous Peak Load Controller. - Tanuja Ganu; Deva P. Seetharam; Vijay Arya; Jagabondhu Hazra; Deeksha Sinha; Rajesh Kunnath; Liyanage Chandratilake De Silva; Saiful A. Husain; Shivkumar Kalyanaraman (IEEE J. Sel. Areas Commun., 2013)

iDR: consumer and grid friendly demand response system. - Vikas Chandan; Tanuja Ganu; Tri Kurniawan Wijaya; Marilena Minou; George D. Stamoulis; George A. Thanos; Deva P. Seetharam (e-Energy, 2014)

Algorithms for upgrading the resolution of aggregate energy meter data. - Harshad Khadilkar; Tanuja Ganu; Zainul Charbiwala; Chee Ming Lim; Sathyajith Mathew; Deva P. Seetharam (e-Energy, 2014)

SocketWatch: An autonomous appliance monitoring system. - Tanuja Ganu; Dwi A. P. Rahayu; Deva P. Seetharam; Rajesh Kunnath; Ashok Pon Kumar; Vijay Arya; Saiful A. Husain; Shivkumar Kalyanaraman (PerCom, 2014)

Consumer Segmentation and Knowledge Extraction from Smart Meter and Survey Data. - Tri Kurniawan Wijaya; Tanuja Ganu; Dipanjan Chakraborty 001; Karl Aberer; Deva P. Seetharam (SDM, 2014)

DC Picogrids as power backups for office buildings. - Harshad Khadilkar; Vikas Chandan; Sandeep Kalra; Sunil Kumar Ghai; Zainul Charbiwala; Tanuja Ganu; Rajesh Kunnath; Chee Ming Lim; Deva P. Seetharam (SmartGridComm, 2014)

Individual and Aggregate Electrical Load Forecasting: One for All and All for One. - Sambaran Bandyopadhyay; Tanuja Ganu; Harshad Khadilkar; Vijay Arya (e-Energy, 2015)

Using renewables to reduce peak demand: Lessons from an Australian experience. - Arun Vishwanath; Sunil Kumar Ghai; Vikas Chandan; Tanuja Ganu; Zainul Charbiwala; Shivkumar Kalyanaraman; Charles Blake 002 (ISGT Asia, 2015)

Multi-User Energy Consumption Monitoring and Anomaly Detection with Partial Context Information. - Pandarasamy Arjunan; Harshad D. Khadilkar; Tanuja Ganu; Zainul M. Charbiwala; Amarjeet Singh 001; Pushpendra Singh 001 (BuildSys, 2015)

iPlug: Decentralised dispatch of distributed generation. - Subendhu Rongali; Tanuja Ganu; Manikandan Padmanabhan; Vijay Arya; Shivkumar Kalyanaraman; Mohamad Iskandar Petra (COMSNETS, 2016)

Optimising Lockdown Policies for Epidemic Control using Reinforcement Learning. - Harshad Khadilkar; Tanuja Ganu; Deva P. Seetharam (CoRR, 2020)

Language Translation as a Socio-Technical System: Case-Studies of Mixed-Initiative Interactions. - Sebastin Santy; Kalika Bali; Monojit Choudhury; Sandipan Dandapat; Tanuja Ganu; Anurag Shukla; Jahanvi Shah; Vivek Seshadri (COMPASS, 2021)

GCM: A Toolkit for Generating Synthetic Code-mixed Text. - Mohd Sanad Zaki Rizvi; Anirudh Srinivasan; Tanuja Ganu; Monojit Choudhury; Sunayana Sitaram (EACL (System Demonstrations), 2021)

Micro-climate Prediction - Multi Scale Encoder-decoder based Deep Learning Framework. - Peeyush Kumar; Ranveer Chandra; Chetan Bansal; Shivkumar Kalyanaraman; Tanuja Ganu; Michael Grant (KDD, 2021)

AI-assisted Cell-Level Fault Detection and Localization in Solar PV Electroluminescence Images. - M. R. Ahan; Akshay Nambi 001; Tanuja Ganu; Dhananjay Nahata; Shivkumar Kalyanaraman (SenSys, 2021)

Adaptive Streaming Perception using Deep Reinforcement Learning. - Anurag Ghosh; Akshay Uttama Nambi; Aditya Singh; Y. V. S. Harish; Tanuja Ganu (CoRR, 2021)

Predicting the Performance of Multilingual NLP Models. - Anirudh Srinivasan; Sunayana Sitaram; Tanuja Ganu; Sandipan Dandapat; Kalika Bali; Monojit Choudhury (CoRR, 2021)

LITMUS Predictor: An AI Assistant for Building Reliable, High-Performing and Fair Multilingual NLP Systems. - Anirudh Srinivasan; Gauri Kholkar; Rahul Kejriwal; Tanuja Ganu; Sandipan Dandapat; Sunayana Sitaram; Balakrishnan Santhanam; Somak Aditya; Kalika Bali; Monojit Choudhury (AAAI, 2022)

Reliable Energy Consumption Modeling for an Electric Vehicle Fleet. - Millend Roy; Akshay Uttama Nambi; Anupam Sobti; Tanuja Ganu; Shivkumar Kalyanaraman; Shankar Akella; Jaya Subha Devi; S. A. Sundaresan (COMPASS, 2022)

Too Brittle to Touch: Comparing the Stability of Quantization and Distillation towards Developing Low-Resource MT Models. - Harshita Diddee; Sandipan Dandapat; Monojit Choudhury; Tanuja Ganu; Kalika Bali (WMT, 2022)

Broken News: Making Newspapers Accessible to Print-Impaired. - Vishal Agarwal; Tanuja Ganu; Saikat Guha 002 (CoRR, 2022)

Document Navigability: A Need for Print-Impaired. - Anukriti Kumar; Tanuja Ganu; Saikat Guha 002 (CoRR, 2022)

Towards Optimizing OCR for Accessibility. - Peya Mowar; Tanuja Ganu; Saikat Guha 002 (CoRR, 2022)

Too Brittle To Touch: Comparing the Stability of Quantization and Distillation Towards Developing Lightweight Low-Resource MT Models. - Harshita Diddee; Sandipan Dandapat; Monojit Choudhury; Tanuja Ganu; Kalika Bali (CoRR, 2022)

Towards Zero-Shot and Few-Shot Table Question Answering using GPT-3. - Pragya Srivastava; Tanuja Ganu; Saikat Guha 002 (CoRR, 2022)

ChartParser: Automatic Chart Parsing for Print-Impaired. - Anukriti Kumar; Tanuja Ganu; Saikat Guha 002 (CoRR, 2022)

ChartParser: Automatic Chart Parsing for Print-Impaired. - Anukriti Kumar; Tanuja Ganu (SDU@AAAI, 2023)

MEGA: Multilingual Evaluation of Generative AI. - Kabir Ahuja; Harshita Diddee; Rishav Hada; Millicent Ochieng; Krithika Ramesh; Prachi Jain; Akshay Uttama Nambi; Tanuja Ganu; Sameer Segal; Mohamed Ahmed; Kalika Bali; Sunayana Sitaram (EMNLP, 2023)

Retrieval Augmented Chest X-Ray Report Generation using OpenAI GPT models. - Mercy Prasanna Ranjit; Gopinath Ganapathy; Ranjit Manuel; Tanuja Ganu (MLHC, 2023)

Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception. - Anurag Ghosh; Vaibhav Balloli; Akshay Nambi 001; Aditya Singh; Tanuja Ganu (NeurIPS, 2023)

MEGA: Multilingual Evaluation of Generative AI. - Kabir Ahuja; Rishav Hada; Millicent Ochieng; Prachi Jain; Harshita Diddee; Samuel C. Maina; Tanuja Ganu; Sameer Segal; Maxamed Axmed; Kalika Bali; Sunayana Sitaram (CoRR, 2023)

Breaking Language Barriers with a LEAP: Learning Strategies for Polyglot LLMs. - Akshay Uttama Nambi; Vaibhav Balloli; Mercy Prasanna Ranjit; Tanuja Ganu; Kabir Ahuja; Sunayana Sitaram; Kalika Bali (CoRR, 2023)

Evaluating LLMs' Mathematical Reasoning in Financial Document Question Answering. - Pragya Srivastava; Manuj Malik; Vivek Gupta 001; Tanuja Ganu; Dan Roth 001 (ACL (Findings), 2024)

INMT-Lite: Accelerating Low-Resource Language Data Collection via Offline Interactive Neural Machine Translation. - Harshita Diddee; Anurag Shukla; Tanuja Ganu; Vivek Seshadri; Sandipan Dandapat; Monojit Choudhury; Kalika Bali (LREC/COLING, 2024)

TorchSpatial: A Python Package for Spatial Representation Learning and Geo-Aware Model Development. - Qian Cao; Nemin Wu; Zhangyu Wang; Zeping Liu; Yanlin Qi; Jielu Zhang; Joshua Ni; Xiaobai Angela Yao; Hongxu Ma; Lan Mu; Stefano Ermon; Tanuja Ganu; et al. (GeoIndstry@SIGSPATIAL, 2024)

TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning. - Nemin Wu; Qian Cao; Zhangyu Wang; Zeping Liu; Yanlin Qi; Jielu Zhang; Joshua Ni; Xiaobai Angela Yao; Hongxu Ma; Lan Mu; Stefano Ermon; Tanuja Ganu; et al. (NeurIPS, 2024)

Rad-Phi2: Instruction Tuning Phi2 for Radiology. - Mercy Ranjit; Gopinath Ganapathy; Shaury Srivastav; Srujana Oruganti; Tanuja Ganu (Adv. Artif. Intell. Mach. Learn., 2024)

RAD-PHI2: Instruction Tuning PHI-2 for Radiology. - Mercy Ranjit; Gopinath Ganapathy; Shaury Srivastav; Tanuja Ganu; Srujana Oruganti (CoRR, 2024)

MMCTAgent: Multi-modal Critical Thinking Agent Framework for Complex Visual Reasoning. - Somnath Kumar; Yash Gadhia; Tanuja Ganu; Akshay Nambi 001 (CoRR, 2024)

Bridging the Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs. - Somnath Kumar; Vaibhav Balloli; Mercy Ranjit; Kabir Ahuja; Tanuja Ganu; Sunayana Sitaram; Kalika Bali; Akshay Nambi 001 (CoRR, 2024)

PromptWizard: Task-Aware Agent-driven Prompt Optimization Framework. - Eshaan Agarwal; Vivek Dani; Tanuja Ganu; Akshay Nambi 001 (CoRR, 2024)

RadPhi-3: Small Language Models for Radiology. - Mercy Ranjit; Shaury Srivastav; Tanuja Ganu (CoRR, 2024)

PromptWizard: Optimizing Prompts via Task-Aware, Feedback-Driven Self-Evolution. - Eshaan Agarwal; Raghav Magazine; Joykirat Singh; Vivek Dani; Tanuja Ganu; Akshay Uttama Nambi (ACL (Findings), 2025)

Bridging the Language Gap: Dynamic Learning Strategies for Improving Multilingual Performance in LLMs. - Somnath Kumar; Vaibhav Balloli; Mercy Ranjit; Kabir Ahuja; Sunayana Sitaram; Kalika Bali; Tanuja Ganu; Akshay Nambi 001 (COLING, 2025)

Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models. - Hengyi Wang; Haizhou Shi; Shiwei Tan; Weiyi Qin; Wenyuan Wang; Tunyu Zhang; Akshay Nambi 001; Tanuja Ganu; Hao Wang 014 (NAACL (Long Papers), 2025)

RAD-PHI3 at the NTCIR-18 HIDDEN-RAD: Hidden CausalityInclusion in Radiology Reports with Multimodal SmallLanguage Models. - Mercy Ranjit; Rahul Kumar 002; Shaury Srivastav; Anirban Porya; Tanuja Ganu (NTCIR, 2025)

EnCortex: A General, Extensible and Scalable Framework for Decision Management in New-age Energy Systems. - Millend Roy; Vaibhav Balloli; Anupam Sobti; Srinivasan Iyengar; Shivkumar Kalyanaraman; Tanuja Ganu; Akshay Uttama Nambi (CoRR, 2025)

Do You See Me : A Multidimensional Benchmark for Evaluating Visual Perception in Multimodal LLMs. - Aditya Kanade 001; Tanuja Ganu (CoRR, 2025)

Teacher-AI Collaboration for Curating and Customizing Lesson Plans in Low-Resource Schools. - Deepak Varuvel Dennison; Bakhtawar Ahtisham; Kavyansh Chourasia; Nirmit Arora; Rahul Singh; René F. Kizilcec; Akshay Uttama Nambi; Tanuja Ganu; Aditya Vashistha (CoRR, 2025)

Designing Culturally Aligned AI Systems For Social Good in Non-Western Contexts. - Deepak Varuvel Dennison; Mohit Jain; Tanuja Ganu; Aditya Vashistha (CoRR, 2025)

GeoBS: Information-Theoretic Quantification of Geographic Bias in AI Models. - Zhangyu Wang; Nemin Wu; Qian Cao; Jiangnan Xia; Zeping Liu; Yiqun Xie; Akshay Uttama Nambi; Tanuja Ganu; Ni Lao; Ninghao Liu; Gengchen Mai (CoRR, 2025)