CosMAC: Constellation-Aware Medium Access and Scheuduling for IoT Satellites
Jayanth Shenoy, Om Chabra, Tusher Chakraborty, Suraj Jog, Deepak Vasisth, Ranveer Chandra
ACM MobiCom | November 2024
Research for Industry
Unlocking new opportunities
论文与出版物
论文与出版物
按年份分类的论文与出版物
-
Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning
Nick Mecklenburg, Yiyou Lin, Xiaoxiao Li, Daniel Holstein, Leonardo Nunes, Sara Malvar, Bruno Silva, Ranveer Chandra, Vijay Aski, Pavan Kumar Reddy Yannam, Tolga Aktas
ArXiv | April 2024
Spectrumize: Spectrum-efficient Satellite Networks for the Internet of Things
Vaibhav Singh, Tusher Chakraborty, Suraj Jog, Om Chabra, Deepak Vasisht , Ranveer Chandra
USENIX NSDI | April 2024
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Maria Angels de Luis Balaguer, Vinamra Benara, Renato L. de F. Cunha, Roberto Estevão, Todd Hendry, Daniel Holstein, Jennifer Marsman, Nick Mecklenburg, Sara Malvar, Leonardo Nunes, Rafael Padilha, Morris Sharp, Bruno Silva, Swati Sharma, Vijay Aski, Ranveer Chandra
January 2024
-
GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models
Bruno Silva, Leonardo Nunes, Roberto Estevão, Vijay Aski, Ranveer Chandra
October 2023
AgriTera: Accurate Non-Invasive Fruit Ripeness Sensing via Sub-Terahertz Wireless Signals
Sayed Saad Afzal, Atsutse Kludze, Subhajit Karmakar, Ranveer Chandra, Yasaman Ghasempour
ACM MobiCom | October 2023
Best Paper
Community Economics for AI Powered Micro-Grid
September 2023
DBO: Fairness for Cloud-Hosted Financial Exchanges
Eashan Gupta, Prateesh Goyal, Ilias Marinos, Chenxingyu Zhao, Radhika Mittal, Ranveer Chandra
ACM SIGCOMM | September 2023
An Iterative Method for Hyperspectral Pixel Unmixing Leveraging Latent Dirichlet Variational Autoencoder
Kiran Mantripragada, Paul R. Adler, Peder Olsen, Faisal Z. Qureshi
IGARSS 2023 – 2023 IEEE International Geoscience and Remote Sensing Symposium | July 2023, pp. 7527-7530
Multi-market Energy Optimization with Renewables via Reinforcement Learning
Lucien Werner, Peeyush Kumar
June 2023
Imaging and seismic modelling inside volcanoes using machine learning
Gareth Shane O'Brien, Christopher J. Bean, Hugo Meiland, Philipp Witte
Nature Scientific Reports | January 2023, 第 13 卷
-
Intraurban NO2 hotspot detection via clustering of in-situ, remote, and modeled air quality data products
Anastasia Montgomery, Madeleine Daepp, Marah I Abdin, Pallavi Choudry, Sara Malvar, Scott Counts, Daniel E Horton
American Geophysical Union Fall Meeting | December 2022
Industry-scale CO2 Flow Simulations with Model-Parallel Fourier Neural Operators
Philipp Witte, Russell Hewett, Ranveer Chandra
NeurIPS 2022 Workshop Tackling Climate Change with Machine Learning | December 2022
Surrogate Modeling for Methane Dispersion Simulations Using Fourier Neural Operator
Qie Zhang, Micro Milletari, Yagna Oruganti, Philipp Witte
NeurIPS 2022 Workshop Tackling Climate Change with Machine Learning | December 2022
Proposal Track
SciAI4Industry – Solving PDEs for industry-scale problems with deep learning
Philipp Witte, Russell Hewett, Kumar Saurabh, AmirHossein Sojoodi, Ranveer Chandra
November 2022
Rethinking Cloud-hosted Financial Exchanges for Response Time Fairness
Prateesh Goyal, Ilias Marinos, Eashan Gupta, Chaitanya Bandi, Alan Ross, Ranveer Chandra
ACM HotNets | November 2022
Accelerating innovation with software abstractions for scalable computational geophysics
Mathias Louboutin, Philipp Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, Felix Herrmann
International Meeting for Applied Geoscience & Energy (IMAGE) | October 2022
Open Benchmarking Platform for Data Inversion Methods
Gerard Gorman, Fabio Luporini, Amik St-Cyr, Alexander Loddoch, A. Souza, Philipp Witte, Ken Hester, Fabrice Dupros, Mauricio Araya
Sixth EAGE High Performance Computing Workshop | September 2022
Source Attribution and Emissions Quantification for Methane Leak Detection: A Non-Linear Bayesian Regression Approach
Mirco Milletari, Sara Malvar, Yagna Oruganti, Leonardo Nunes, Yazeed Alaudah, Anirudh Badam
The 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science | September 2022
Best Paper Award Special Mention
Digital Water for Agriculture
Sara Malvar, Anirudh Badam, Ranveer Chandra
August 2022
Location Aware Super-Resolution for Satellite Data Fusion
Olaoluwa Adigun, Peder Olsen, Ranveer Chandra
IGARSS 2022 | July 2022
Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss
Vaishnavi Ranganathan, Peeyush Kumar, Upinder Kaur, Sarah Li, Tusher Chakraborty, Ranveer Chandra
IEEE Internet of Things Magazine | May 2022
Whisper: IoT in the TV White Space Spectrum
Tusher Chakraborty, Heping Shi, Zerina Kapetanovic, Bodhi Priyantha, Deepak Vasisht, Andrew Nelson, Parag Pandit, Prasad Pillai, Yaswant Chabria, Binh Vu, Ranveer Chandra
USENIX NSDI 2022 | March 2022
Democratizing Data-Driven Agriculture Using Affordable Hardware
Ranveer Chandra, Swami Manohar, Tusher Chakraborty, Jian Ding, Zerina Kapetanovic, Peeyush Kumar, Deepak Vasisht
IEEE Micro | January 2022, 第 42 卷(1): pp. 69-77
-
Unsupervised Machine Learning framework for sensor placement optimization: analyzing methane leaks
Shirui Wang, Sara Malvar, Leonardo Nunes, Kim Whitehall, Yagna Oruganti, Yazeed Alaudah, Anirudh Badam
NeurIPS 2021 Workshop Tackling Climate Change with Machine Learning | December 2021
Digital Agriculture for Small-Scale Producers: Challenges and Opportunities
Ranveer Chandra, Stewart Collis
Communications of the ACM | December 2021, 第 64 卷(12): pp. 75-84
Visage: Enabling Timely Analytics for Drone Imagery
Sagar Jha, Youjie Li, Shadi Noghabi, Vaishnavi Ranganathan, Peeyush Kumar, Andrew Nelson, Michael Toelle, Sudipta Sinha, Ranveer Chandra, Anirudh Badam
MobiCom ’21 | October 2021
Hyperwavve: A cloud-native solution for hyperscale seismic imaging on Azure
Qie Zhang, George Iordanescu, Wee Hyong Tok, Sverre Brandsberg-Dahl, Hari Krishnan Srinivasan, Ranveer Chandra, Navjot Kukreja, Gerard Gorman
First International Meeting for Applied Geoscience & Energy | September 2021
Low-cost In-ground Soil Moisture Sensing with Radar Backscatter Tags
Colleen Josephson, Manikanta Kotaru, Keith Winstein, Sachin Katti, Ranveer Chandra
ACM COMPASS | September 2021
Low-cost time-lapse seismic imaging of CCS with the joint recovery model
Felix J. Herrmann, Mathias Louboutin, Ziyi Yin, Philipp Witte
IMAGE 2021 | September 2021
Workshop: Geophysical Challenges in Presalt Carbonates
Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
InvertibleNetworks.jl – Memory efficient deep learning in Julia
Philipp Witte, Mathias Louboutin, Ali Siahkoohi, Felix J. Herrmann, Gabrio Rizzuti, Bas Peters
JuliaCon 2021 | July 2021
Redwood: A framework for clusterless supercomputing in the cloud
JuliaCon 2021 | July 2021
Lattice: A Vision for Machine Learning, Data Engineering, and Policy Considerations for Digital Agriculture at Scale
Somali Chaterji, Nathan DeLay, John Evans, Nathan Mosier, Bernard Engel, Dennis Buckmaster, Michael R. Ladisch, Ranveer Chandra
IEEE Open Journal of the Computer Society | June 2021, 第 2 卷
Preconditioned training of normalizing flows for variational inference in inverse problems
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp Witte, Felix J. Herrmann
AABI 2021 | January 2021
-
Interactive sound propagation for dynamic scenes using 2D wave simulation
Matthew Rosen, Keith Godin, Nikunj Raghuvanshi
Computer Graphics Forum (Symposium on Computer Animation) | September 2020, 第 39 卷(8)
Cloud-Enabled Interactive Sound Propagation for Untethered Mixed Reality
Mike Chemistruck, Kyle Storck, Nikunj Raghuvanshi
AES International Conference on Audio for Virtual and Augmented Reality (AVAR) | August 2020
Directional Sources and Listeners in Interactive Sound Propagation using Reciprocal Wave Field Coding
Chakravarty R. Alla Chaitanya, Nikunj Raghuvanshi, Keith Godin, Zechen Zhang, Derek Nowrouzezahrai, John Snyder
ACM Transactions on Graphics (SIGGRAPH 2020) | July 2020, 第 39 卷(4)
(Equal contribution from first and second listed authors)
Towards encoding perceptually salient early reflections for parametric spatial audio rendering
Fabian Brinkmann, Hannes Gamper, Nikunj Raghuvanshi, Ivan Tashev
AES convention | June 2020
Fast acoustic scattering using convolutional neural networks
Ziqi Fan, Vibhav Vineet, Hannes Gamper, Nikunj Raghuvanshi
ICASSP 2020 – IEEE International Conference on Acoustics, Speech and Signal Processing | May 2020
-
Perspective: white space networking with wi-fi like connectivity
Ranveer Chandra, Thomas Moscibroda
Computer Communications Review | December 2019, 第 49 卷(5): pp. 107-109
Towards Low Cost Soil Sensing Using Wi-Fi
Jian Ding, Ranveer Chandra
MobiCom 2019 | October 2019
ACM MobiCom 2019 Best Paper Runner Up
FarmBeats: Improving Farm Productivity Using Data-Driven Agriculture
Zerina Kapetanovic, Ranveer Chandra, Tusher Chakraborty, Andrew Nelson
SIAM News | July 2019
https://sinews.siam.org/Details-Page/farmbeats-improving-farm-productivity-using-data-driven-agriculture
Low-Cost Aerial Imaging for Small Holder Farmers
Vasuki Narasimha Swamy, Akshit Kumar, Rohit Patil, Aditya Jain, Zerina Kapetanovic, Rahul Sharma, Deepak Vasisht, Ranveer Chandra, Swami Manohar, Anirudh Badam, Gireeja Ranade, Sudipta Sinha, Akshay Nambi
ACM Compass 2019 | July 2019
ACM COMPASS 2019 Best Paper Award
-
Fall-curve: A novel primitive for IoT Fault Detection and Isolation
Tusher Chakraborty, Akshay Nambi, Ranveer Chandra, Rahul Sharma, Swami Manohar, Zerina Kapetanovic, Jonathan Appavoo
ACM SenSys | November 2018
Bill Gates features FarmBeats on GatesNotes
November 2018
Sensor Identification and Fault Detection in IoT Systems
Tusher Chakraborty, Akshay Nambi, Rahul Sharma, Ranveer Chandra, Swami Manohar, Zerina Kapetanovic
ACM SenSys (Demo) | November 2018
Parametric Directional Coding for Precomputed Sound Propagation
Nikunj Raghuvanshi, John Snyder
ACM Transactions on Graphics (TOG) – Proceedings of ACM SIGGRAPH 2018 | September 2018, 第 37 卷(4)
-
Experiences Deploying an Always-on Farm Network
Zerina Kapetanovic, Deepak Vasisht, Jongho Won, Ranveer Chandra, Mark Kimball
ACM GetMobile: Mobile Computing and Communications | June 2017, 第 21 卷
FarmBeats: An IoT Platform for Data-Driven Agriculture
Deepak Vasisht, Zerina Kapetanovic, JongHo Won, Xinxin Jin, Ranveer Chandra, Sudipta Sinha, Ashish Kapoor
Networked Systems Design and Implementation (NSDI) | March 2017
按研究领域分类的论文与出版物
-
CosMAC: Constellation-Aware Medium Access and Scheuduling for IoT Satellites
Jayanth Shenoy, Om Chabra, Tusher Chakraborty, Suraj Jog, Deepak Vasisth, Ranveer Chandra
ACM MobiCom | November 2024
Spectrumize: Spectrum-efficient Satellite Networks for the Internet of Things
Vaibhav Singh, Tusher Chakraborty, Suraj Jog, Om Chabra, Deepak Vasisht , Ranveer Chandra
USENIX NSDI | April 2024
AgriTera: Accurate Non-Invasive Fruit Ripeness Sensing via Sub-Terahertz Wireless Signals
Sayed Saad Afzal, Atsutse Kludze, Subhajit Karmakar, Ranveer Chandra, Yasaman Ghasempour
ACM MobiCom | October 2023
Best Paper
DBO: Fairness for Cloud-Hosted Financial Exchanges
Eashan Gupta, Prateesh Goyal, Ilias Marinos, Chenxingyu Zhao, Radhika Mittal, Ranveer Chandra
ACM SIGCOMM | September 2023
Rethinking Cloud-hosted Financial Exchanges for Response Time Fairness
Prateesh Goyal, Ilias Marinos, Eashan Gupta, Chaitanya Bandi, Alan Ross, Ranveer Chandra
ACM HotNets | November 2022
Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss
Vaishnavi Ranganathan, Peeyush Kumar, Upinder Kaur, Sarah Li, Tusher Chakraborty, Ranveer Chandra
IEEE Internet of Things Magazine | May 2022
Whisper: IoT in the TV White Space Spectrum
Tusher Chakraborty, Heping Shi, Zerina Kapetanovic, Bodhi Priyantha, Deepak Vasisht, Andrew Nelson, Parag Pandit, Prasad Pillai, Yaswant Chabria, Binh Vu, Ranveer Chandra
USENIX NSDI 2022 | March 2022
Democratizing Data-Driven Agriculture Using Affordable Hardware
Ranveer Chandra, Swami Manohar, Tusher Chakraborty, Jian Ding, Zerina Kapetanovic, Peeyush Kumar, Deepak Vasisht
IEEE Micro | January 2022, 第 42 卷(1): pp. 69-77
Digital Agriculture for Small-Scale Producers: Challenges and Opportunities
Ranveer Chandra, Stewart Collis
Communications of the ACM | December 2021, 第 64 卷(12): pp. 75-84
Visage: Enabling Timely Analytics for Drone Imagery
Sagar Jha, Youjie Li, Shadi Noghabi, Vaishnavi Ranganathan, Peeyush Kumar, Andrew Nelson, Michael Toelle, Sudipta Sinha, Ranveer Chandra, Anirudh Badam
MobiCom ’21 | October 2021
Low-cost In-ground Soil Moisture Sensing with Radar Backscatter Tags
Colleen Josephson, Manikanta Kotaru, Keith Winstein, Sachin Katti, Ranveer Chandra
ACM COMPASS | September 2021
Hyperwavve: A cloud-native solution for hyperscale seismic imaging on Azure
Qie Zhang, George Iordanescu, Wee Hyong Tok, Sverre Brandsberg-Dahl, Hari Krishnan Srinivasan, Ranveer Chandra, Navjot Kukreja, Gerard Gorman
First International Meeting for Applied Geoscience & Energy | September 2021
Perspective: white space networking with wi-fi like connectivity
Ranveer Chandra, Thomas Moscibroda
Computer Communications Review | December 2019, 第 49 卷(5): pp. 107-109
Towards Low Cost Soil Sensing Using Wi-Fi
Jian Ding, Ranveer Chandra
MobiCom 2019 | October 2019
ACM MobiCom 2019 Best Paper Runner Up
FarmBeats: Improving Farm Productivity Using Data-Driven Agriculture
Zerina Kapetanovic, Ranveer Chandra, Tusher Chakraborty, Andrew Nelson
SIAM News | July 2019
https://sinews.siam.org/Details-Page/farmbeats-improving-farm-productivity-using-data-driven-agriculture
Low-Cost Aerial Imaging for Small Holder Farmers
Vasuki Narasimha Swamy, Akshit Kumar, Rohit Patil, Aditya Jain, Zerina Kapetanovic, Rahul Sharma, Deepak Vasisht, Ranveer Chandra, Swami Manohar, Anirudh Badam, Gireeja Ranade, Sudipta Sinha, Akshay Nambi
ACM Compass 2019 | July 2019
ACM COMPASS 2019 Best Paper Award
Fall-curve: A novel primitive for IoT Fault Detection and Isolation
Tusher Chakraborty, Akshay Nambi, Ranveer Chandra, Rahul Sharma, Swami Manohar, Zerina Kapetanovic, Jonathan Appavoo
ACM SenSys | November 2018
Sensor Identification and Fault Detection in IoT Systems
Tusher Chakraborty, Akshay Nambi, Rahul Sharma, Ranveer Chandra, Swami Manohar, Zerina Kapetanovic
ACM SenSys (Demo) | November 2018
Bill Gates features FarmBeats on GatesNotes
November 2018
Experiences Deploying an Always-on Farm Network
Zerina Kapetanovic, Deepak Vasisht, Jongho Won, Ranveer Chandra, Mark Kimball
ACM GetMobile: Mobile Computing and Communications | June 2017, 第 21 卷
FarmBeats: An IoT Platform for Data-Driven Agriculture
Deepak Vasisht, Zerina Kapetanovic, JongHo Won, Xinxin Jin, Ranveer Chandra, Sudipta Sinha, Ashish Kapoor
Networked Systems Design and Implementation (NSDI) | March 2017
-
Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning
Nick Mecklenburg, Yiyou Lin, Xiaoxiao Li, Daniel Holstein, Leonardo Nunes, Sara Malvar, Bruno Silva, Ranveer Chandra, Vijay Aski, Pavan Kumar Reddy Yannam, Tolga Aktas
ArXiv | April 2024
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Maria Angels de Luis Balaguer, Vinamra Benara, Renato L. de F. Cunha, Roberto Estevão, Todd Hendry, Daniel Holstein, Jennifer Marsman, Nick Mecklenburg, Sara Malvar, Leonardo Nunes, Rafael Padilha, Morris Sharp, Bruno Silva, Swati Sharma, Vijay Aski, Ranveer Chandra
January 2024
GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models
Bruno Silva, Leonardo Nunes, Roberto Estevão, Vijay Aski, Ranveer Chandra
October 2023
Community Economics for AI Powered Micro-Grid
September 2023
An Iterative Method for Hyperspectral Pixel Unmixing Leveraging Latent Dirichlet Variational Autoencoder
Kiran Mantripragada, Paul R. Adler, Peder Olsen, Faisal Z. Qureshi
IGARSS 2023 – 2023 IEEE International Geoscience and Remote Sensing Symposium | July 2023, pp. 7527-7530
Multi-market Energy Optimization with Renewables via Reinforcement Learning
Lucien Werner, Peeyush Kumar
June 2023
Imaging and seismic modelling inside volcanoes using machine learning
Gareth Shane O'Brien, Christopher J. Bean, Hugo Meiland, Philipp Witte
Nature Scientific Reports | January 2023, 第 13 卷
Intraurban NO2 hotspot detection via clustering of in-situ, remote, and modeled air quality data products
Anastasia Montgomery, Madeleine Daepp, Marah I Abdin, Pallavi Choudry, Sara Malvar, Scott Counts, Daniel E Horton
American Geophysical Union Fall Meeting | December 2022
Surrogate Modeling for Methane Dispersion Simulations Using Fourier Neural Operator
Qie Zhang, Micro Milletari, Yagna Oruganti, Philipp Witte
NeurIPS 2022 Workshop Tackling Climate Change with Machine Learning | December 2022
Proposal Track
Industry-scale CO2 Flow Simulations with Model-Parallel Fourier Neural Operators
Philipp Witte, Russell Hewett, Ranveer Chandra
NeurIPS 2022 Workshop Tackling Climate Change with Machine Learning | December 2022
SciAI4Industry – Solving PDEs for industry-scale problems with deep learning
Philipp Witte, Russell Hewett, Kumar Saurabh, AmirHossein Sojoodi, Ranveer Chandra
November 2022
Source Attribution and Emissions Quantification for Methane Leak Detection: A Non-Linear Bayesian Regression Approach
Mirco Milletari, Sara Malvar, Yagna Oruganti, Leonardo Nunes, Yazeed Alaudah, Anirudh Badam
The 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science | September 2022
Best Paper Award Special Mention
Digital Water for Agriculture
Sara Malvar, Anirudh Badam, Ranveer Chandra
August 2022
Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss
Vaishnavi Ranganathan, Peeyush Kumar, Upinder Kaur, Sarah Li, Tusher Chakraborty, Ranveer Chandra
IEEE Internet of Things Magazine | May 2022
Unsupervised Machine Learning framework for sensor placement optimization: analyzing methane leaks
Shirui Wang, Sara Malvar, Leonardo Nunes, Kim Whitehall, Yagna Oruganti, Yazeed Alaudah, Anirudh Badam
NeurIPS 2021 Workshop Tackling Climate Change with Machine Learning | December 2021
Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
InvertibleNetworks.jl – Memory efficient deep learning in Julia
Philipp Witte, Mathias Louboutin, Ali Siahkoohi, Felix J. Herrmann, Gabrio Rizzuti, Bas Peters
JuliaCon 2021 | July 2021
Redwood: A framework for clusterless supercomputing in the cloud
JuliaCon 2021 | July 2021
Preconditioned training of normalizing flows for variational inference in inverse problems
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp Witte, Felix J. Herrmann
AABI 2021 | January 2021
Experiences Deploying an Always-on Farm Network
Zerina Kapetanovic, Deepak Vasisht, Jongho Won, Ranveer Chandra, Mark Kimball
ACM GetMobile: Mobile Computing and Communications | June 2017, 第 21 卷
FarmBeats: An IoT Platform for Data-Driven Agriculture
Deepak Vasisht, Zerina Kapetanovic, JongHo Won, Xinxin Jin, Ranveer Chandra, Sudipta Sinha, Ashish Kapoor
Networked Systems Design and Implementation (NSDI) | March 2017
-
Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning
Nick Mecklenburg, Yiyou Lin, Xiaoxiao Li, Daniel Holstein, Leonardo Nunes, Sara Malvar, Bruno Silva, Ranveer Chandra, Vijay Aski, Pavan Kumar Reddy Yannam, Tolga Aktas
ArXiv | April 2024
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Maria Angels de Luis Balaguer, Vinamra Benara, Renato L. de F. Cunha, Roberto Estevão, Todd Hendry, Daniel Holstein, Jennifer Marsman, Nick Mecklenburg, Sara Malvar, Leonardo Nunes, Rafael Padilha, Morris Sharp, Bruno Silva, Swati Sharma, Vijay Aski, Ranveer Chandra
January 2024
Open Benchmarking Platform for Data Inversion Methods
Gerard Gorman, Fabio Luporini, Amik St-Cyr, Alexander Loddoch, A. Souza, Philipp Witte, Ken Hester, Fabrice Dupros, Mauricio Araya
Sixth EAGE High Performance Computing Workshop | September 2022
Digital Water for Agriculture
Sara Malvar, Anirudh Badam, Ranveer Chandra
August 2022
Lattice: A Vision for Machine Learning, Data Engineering, and Policy Considerations for Digital Agriculture at Scale
Somali Chaterji, Nathan DeLay, John Evans, Nathan Mosier, Bernard Engel, Dennis Buckmaster, Michael R. Ladisch, Ranveer Chandra
IEEE Open Journal of the Computer Society | June 2021, 第 2 卷
-
An Iterative Method for Hyperspectral Pixel Unmixing Leveraging Latent Dirichlet Variational Autoencoder
Kiran Mantripragada, Paul R. Adler, Peder Olsen, Faisal Z. Qureshi
IGARSS 2023 – 2023 IEEE International Geoscience and Remote Sensing Symposium | July 2023, pp. 7527-7530
Location Aware Super-Resolution for Satellite Data Fusion
Olaoluwa Adigun, Peder Olsen, Ranveer Chandra
IGARSS 2022 | July 2022
FarmBeats: An IoT Platform for Data-Driven Agriculture
Deepak Vasisht, Zerina Kapetanovic, JongHo Won, Xinxin Jin, Ranveer Chandra, Sudipta Sinha, Ashish Kapoor
Networked Systems Design and Implementation (NSDI) | March 2017
-
Community Economics for AI Powered Micro-Grid
September 2023
An Iterative Method for Hyperspectral Pixel Unmixing Leveraging Latent Dirichlet Variational Autoencoder
Kiran Mantripragada, Paul R. Adler, Peder Olsen, Faisal Z. Qureshi
IGARSS 2023 – 2023 IEEE International Geoscience and Remote Sensing Symposium | July 2023, pp. 7527-7530
Intraurban NO2 hotspot detection via clustering of in-situ, remote, and modeled air quality data products
Anastasia Montgomery, Madeleine Daepp, Marah I Abdin, Pallavi Choudry, Sara Malvar, Scott Counts, Daniel E Horton
American Geophysical Union Fall Meeting | December 2022
Source Attribution and Emissions Quantification for Methane Leak Detection: A Non-Linear Bayesian Regression Approach
Mirco Milletari, Sara Malvar, Yagna Oruganti, Leonardo Nunes, Yazeed Alaudah, Anirudh Badam
The 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science | September 2022
Best Paper Award Special Mention
Digital Water for Agriculture
Sara Malvar, Anirudh Badam, Ranveer Chandra
August 2022
Unsupervised Machine Learning framework for sensor placement optimization: analyzing methane leaks
Shirui Wang, Sara Malvar, Leonardo Nunes, Kim Whitehall, Yagna Oruganti, Yazeed Alaudah, Anirudh Badam
NeurIPS 2021 Workshop Tackling Climate Change with Machine Learning | December 2021
Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
Lattice: A Vision for Machine Learning, Data Engineering, and Policy Considerations for Digital Agriculture at Scale
Somali Chaterji, Nathan DeLay, John Evans, Nathan Mosier, Bernard Engel, Dennis Buckmaster, Michael R. Ladisch, Ranveer Chandra
IEEE Open Journal of the Computer Society | June 2021, 第 2 卷
-
Community Economics for AI Powered Micro-Grid
September 2023
Multi-market Energy Optimization with Renewables via Reinforcement Learning
Lucien Werner, Peeyush Kumar
June 2023
Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss
Vaishnavi Ranganathan, Peeyush Kumar, Upinder Kaur, Sarah Li, Tusher Chakraborty, Ranveer Chandra
IEEE Internet of Things Magazine | May 2022
Unsupervised Machine Learning framework for sensor placement optimization: analyzing methane leaks
Shirui Wang, Sara Malvar, Leonardo Nunes, Kim Whitehall, Yagna Oruganti, Yazeed Alaudah, Anirudh Badam
NeurIPS 2021 Workshop Tackling Climate Change with Machine Learning | December 2021
Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
Low-Cost Aerial Imaging for Small Holder Farmers
Vasuki Narasimha Swamy, Akshit Kumar, Rohit Patil, Aditya Jain, Zerina Kapetanovic, Rahul Sharma, Deepak Vasisht, Ranveer Chandra, Swami Manohar, Anirudh Badam, Gireeja Ranade, Sudipta Sinha, Akshay Nambi
ACM Compass 2019 | July 2019
ACM COMPASS 2019 Best Paper Award
-
Community Economics for AI Powered Micro-Grid
September 2023
-
Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss
Vaishnavi Ranganathan, Peeyush Kumar, Upinder Kaur, Sarah Li, Tusher Chakraborty, Ranveer Chandra
IEEE Internet of Things Magazine | May 2022
-
SciAI4Industry – Solving PDEs for industry-scale problems with deep learning
Philipp Witte, Russell Hewett, Kumar Saurabh, AmirHossein Sojoodi, Ranveer Chandra
November 2022
Accelerating innovation with software abstractions for scalable computational geophysics
Mathias Louboutin, Philipp Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, Felix Herrmann
International Meeting for Applied Geoscience & Energy (IMAGE) | October 2022
-
Low-cost time-lapse seismic imaging of CCS with the joint recovery model
Felix J. Herrmann, Mathias Louboutin, Ziyi Yin, Philipp Witte
IMAGE 2021 | September 2021
Workshop: Geophysical Challenges in Presalt Carbonates
Interactive sound propagation for dynamic scenes using 2D wave simulation
Matthew Rosen, Keith Godin, Nikunj Raghuvanshi
Computer Graphics Forum (Symposium on Computer Animation) | September 2020, 第 39 卷(8)
Cloud-Enabled Interactive Sound Propagation for Untethered Mixed Reality
Mike Chemistruck, Kyle Storck, Nikunj Raghuvanshi
AES International Conference on Audio for Virtual and Augmented Reality (AVAR) | August 2020
Directional Sources and Listeners in Interactive Sound Propagation using Reciprocal Wave Field Coding
Chakravarty R. Alla Chaitanya, Nikunj Raghuvanshi, Keith Godin, Zechen Zhang, Derek Nowrouzezahrai, John Snyder
ACM Transactions on Graphics (SIGGRAPH 2020) | July 2020, 第 39 卷(4)
(Equal contribution from first and second listed authors)
Towards encoding perceptually salient early reflections for parametric spatial audio rendering
Fabian Brinkmann, Hannes Gamper, Nikunj Raghuvanshi, Ivan Tashev
AES convention | June 2020
Fast acoustic scattering using convolutional neural networks
Ziqi Fan, Vibhav Vineet, Hannes Gamper, Nikunj Raghuvanshi
ICASSP 2020 – IEEE International Conference on Acoustics, Speech and Signal Processing | May 2020
Parametric Directional Coding for Precomputed Sound Propagation
Nikunj Raghuvanshi, John Snyder
ACM Transactions on Graphics (TOG) – Proceedings of ACM SIGGRAPH 2018 | September 2018, 第 37 卷(4)
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Interactive sound propagation for dynamic scenes using 2D wave simulation
Matthew Rosen, Keith Godin, Nikunj Raghuvanshi
Computer Graphics Forum (Symposium on Computer Animation) | September 2020, 第 39 卷(8)
Cloud-Enabled Interactive Sound Propagation for Untethered Mixed Reality
Mike Chemistruck, Kyle Storck, Nikunj Raghuvanshi
AES International Conference on Audio for Virtual and Augmented Reality (AVAR) | August 2020
Directional Sources and Listeners in Interactive Sound Propagation using Reciprocal Wave Field Coding
Chakravarty R. Alla Chaitanya, Nikunj Raghuvanshi, Keith Godin, Zechen Zhang, Derek Nowrouzezahrai, John Snyder
ACM Transactions on Graphics (SIGGRAPH 2020) | July 2020, 第 39 卷(4)
(Equal contribution from first and second listed authors)
Parametric Directional Coding for Precomputed Sound Propagation
Nikunj Raghuvanshi, John Snyder
ACM Transactions on Graphics (TOG) – Proceedings of ACM SIGGRAPH 2018 | September 2018, 第 37 卷(4)
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Fall-curve: A novel primitive for IoT Fault Detection and Isolation
Tusher Chakraborty, Akshay Nambi, Ranveer Chandra, Rahul Sharma, Swami Manohar, Zerina Kapetanovic, Jonathan Appavoo
ACM SenSys | November 2018
Sensor Identification and Fault Detection in IoT Systems
Tusher Chakraborty, Akshay Nambi, Rahul Sharma, Ranveer Chandra, Swami Manohar, Zerina Kapetanovic
ACM SenSys (Demo) | November 2018
Experiences Deploying an Always-on Farm Network
Zerina Kapetanovic, Deepak Vasisht, Jongho Won, Ranveer Chandra, Mark Kimball
ACM GetMobile: Mobile Computing and Communications | June 2017, 第 21 卷
按类型分类的论文与出版物
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CosMAC: Constellation-Aware Medium Access and Scheuduling for IoT Satellites
Jayanth Shenoy, Om Chabra, Tusher Chakraborty, Suraj Jog, Deepak Vasisth, Ranveer Chandra
ACM MobiCom | November 2024
Spectrumize: Spectrum-efficient Satellite Networks for the Internet of Things
Vaibhav Singh, Tusher Chakraborty, Suraj Jog, Om Chabra, Deepak Vasisht , Ranveer Chandra
USENIX NSDI | April 2024
AgriTera: Accurate Non-Invasive Fruit Ripeness Sensing via Sub-Terahertz Wireless Signals
Sayed Saad Afzal, Atsutse Kludze, Subhajit Karmakar, Ranveer Chandra, Yasaman Ghasempour
ACM MobiCom | October 2023
Best Paper
DBO: Fairness for Cloud-Hosted Financial Exchanges
Eashan Gupta, Prateesh Goyal, Ilias Marinos, Chenxingyu Zhao, Radhika Mittal, Ranveer Chandra
ACM SIGCOMM | September 2023
Intraurban NO2 hotspot detection via clustering of in-situ, remote, and modeled air quality data products
Anastasia Montgomery, Madeleine Daepp, Marah I Abdin, Pallavi Choudry, Sara Malvar, Scott Counts, Daniel E Horton
American Geophysical Union Fall Meeting | December 2022
Surrogate Modeling for Methane Dispersion Simulations Using Fourier Neural Operator
Qie Zhang, Micro Milletari, Yagna Oruganti, Philipp Witte
NeurIPS 2022 Workshop Tackling Climate Change with Machine Learning | December 2022
Proposal Track
Industry-scale CO2 Flow Simulations with Model-Parallel Fourier Neural Operators
Philipp Witte, Russell Hewett, Ranveer Chandra
NeurIPS 2022 Workshop Tackling Climate Change with Machine Learning | December 2022
Rethinking Cloud-hosted Financial Exchanges for Response Time Fairness
Prateesh Goyal, Ilias Marinos, Eashan Gupta, Chaitanya Bandi, Alan Ross, Ranveer Chandra
ACM HotNets | November 2022
Accelerating innovation with software abstractions for scalable computational geophysics
Mathias Louboutin, Philipp Witte, Ali Siahkoohi, Gabrio Rizzuti, Ziyi Yin, Rafael Orozco, Felix Herrmann
International Meeting for Applied Geoscience & Energy (IMAGE) | October 2022
Open Benchmarking Platform for Data Inversion Methods
Gerard Gorman, Fabio Luporini, Amik St-Cyr, Alexander Loddoch, A. Souza, Philipp Witte, Ken Hester, Fabrice Dupros, Mauricio Araya
Sixth EAGE High Performance Computing Workshop | September 2022
Source Attribution and Emissions Quantification for Methane Leak Detection: A Non-Linear Bayesian Regression Approach
Mirco Milletari, Sara Malvar, Yagna Oruganti, Leonardo Nunes, Yazeed Alaudah, Anirudh Badam
The 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science | September 2022
Best Paper Award Special Mention
Location Aware Super-Resolution for Satellite Data Fusion
Olaoluwa Adigun, Peder Olsen, Ranveer Chandra
IGARSS 2022 | July 2022
Whisper: IoT in the TV White Space Spectrum
Tusher Chakraborty, Heping Shi, Zerina Kapetanovic, Bodhi Priyantha, Deepak Vasisht, Andrew Nelson, Parag Pandit, Prasad Pillai, Yaswant Chabria, Binh Vu, Ranveer Chandra
USENIX NSDI 2022 | March 2022
Unsupervised Machine Learning framework for sensor placement optimization: analyzing methane leaks
Shirui Wang, Sara Malvar, Leonardo Nunes, Kim Whitehall, Yagna Oruganti, Yazeed Alaudah, Anirudh Badam
NeurIPS 2021 Workshop Tackling Climate Change with Machine Learning | December 2021
Visage: Enabling Timely Analytics for Drone Imagery
Sagar Jha, Youjie Li, Shadi Noghabi, Vaishnavi Ranganathan, Peeyush Kumar, Andrew Nelson, Michael Toelle, Sudipta Sinha, Ranveer Chandra, Anirudh Badam
MobiCom ’21 | October 2021
Low-cost In-ground Soil Moisture Sensing with Radar Backscatter Tags
Colleen Josephson, Manikanta Kotaru, Keith Winstein, Sachin Katti, Ranveer Chandra
ACM COMPASS | September 2021
Low-cost time-lapse seismic imaging of CCS with the joint recovery model
Felix J. Herrmann, Mathias Louboutin, Ziyi Yin, Philipp Witte
IMAGE 2021 | September 2021
Workshop: Geophysical Challenges in Presalt Carbonates
Hyperwavve: A cloud-native solution for hyperscale seismic imaging on Azure
Qie Zhang, George Iordanescu, Wee Hyong Tok, Sverre Brandsberg-Dahl, Hari Krishnan Srinivasan, Ranveer Chandra, Navjot Kukreja, Gerard Gorman
First International Meeting for Applied Geoscience & Energy | September 2021
Micro-climate Prediction – Multi Scale Encoder-decoder based Deep Learning Framework
Peeyush Kumar, Ranveer Chandra, Chetan Bansal, Shivkumar Kalyanaraman, Tanuja Ganu, Michael Grant
2021 Knowledge Discovery and Data Mining | August 2021
InvertibleNetworks.jl – Memory efficient deep learning in Julia
Philipp Witte, Mathias Louboutin, Ali Siahkoohi, Felix J. Herrmann, Gabrio Rizzuti, Bas Peters
JuliaCon 2021 | July 2021
Redwood: A framework for clusterless supercomputing in the cloud
JuliaCon 2021 | July 2021
Preconditioned training of normalizing flows for variational inference in inverse problems
Ali Siahkoohi, Gabrio Rizzuti, Mathias Louboutin, Philipp Witte, Felix J. Herrmann
AABI 2021 | January 2021
Cloud-Enabled Interactive Sound Propagation for Untethered Mixed Reality
Mike Chemistruck, Kyle Storck, Nikunj Raghuvanshi
AES International Conference on Audio for Virtual and Augmented Reality (AVAR) | August 2020
Towards encoding perceptually salient early reflections for parametric spatial audio rendering
Fabian Brinkmann, Hannes Gamper, Nikunj Raghuvanshi, Ivan Tashev
AES convention | June 2020
Fast acoustic scattering using convolutional neural networks
Ziqi Fan, Vibhav Vineet, Hannes Gamper, Nikunj Raghuvanshi
ICASSP 2020 – IEEE International Conference on Acoustics, Speech and Signal Processing | May 2020
Towards Low Cost Soil Sensing Using Wi-Fi
Jian Ding, Ranveer Chandra
MobiCom 2019 | October 2019
ACM MobiCom 2019 Best Paper Runner Up
Low-Cost Aerial Imaging for Small Holder Farmers
Vasuki Narasimha Swamy, Akshit Kumar, Rohit Patil, Aditya Jain, Zerina Kapetanovic, Rahul Sharma, Deepak Vasisht, Ranveer Chandra, Swami Manohar, Anirudh Badam, Gireeja Ranade, Sudipta Sinha, Akshay Nambi
ACM Compass 2019 | July 2019
ACM COMPASS 2019 Best Paper Award
Fall-curve: A novel primitive for IoT Fault Detection and Isolation
Tusher Chakraborty, Akshay Nambi, Ranveer Chandra, Rahul Sharma, Swami Manohar, Zerina Kapetanovic, Jonathan Appavoo
ACM SenSys | November 2018
Sensor Identification and Fault Detection in IoT Systems
Tusher Chakraborty, Akshay Nambi, Rahul Sharma, Ranveer Chandra, Swami Manohar, Zerina Kapetanovic
ACM SenSys (Demo) | November 2018
FarmBeats: An IoT Platform for Data-Driven Agriculture
Deepak Vasisht, Zerina Kapetanovic, JongHo Won, Xinxin Jin, Ranveer Chandra, Sudipta Sinha, Ashish Kapoor
Networked Systems Design and Implementation (NSDI) | March 2017
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Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning
Nick Mecklenburg, Yiyou Lin, Xiaoxiao Li, Daniel Holstein, Leonardo Nunes, Sara Malvar, Bruno Silva, Ranveer Chandra, Vijay Aski, Pavan Kumar Reddy Yannam, Tolga Aktas
ArXiv | April 2024
An Iterative Method for Hyperspectral Pixel Unmixing Leveraging Latent Dirichlet Variational Autoencoder
Kiran Mantripragada, Paul R. Adler, Peder Olsen, Faisal Z. Qureshi
IGARSS 2023 – 2023 IEEE International Geoscience and Remote Sensing Symposium | July 2023, pp. 7527-7530
Imaging and seismic modelling inside volcanoes using machine learning
Gareth Shane O'Brien, Christopher J. Bean, Hugo Meiland, Philipp Witte
Nature Scientific Reports | January 2023, 第 13 卷
Re-Inventing the Food Supply Chain with IoT: A Data-Driven Solution to Reduce Food Loss
Vaishnavi Ranganathan, Peeyush Kumar, Upinder Kaur, Sarah Li, Tusher Chakraborty, Ranveer Chandra
IEEE Internet of Things Magazine | May 2022
Democratizing Data-Driven Agriculture Using Affordable Hardware
Ranveer Chandra, Swami Manohar, Tusher Chakraborty, Jian Ding, Zerina Kapetanovic, Peeyush Kumar, Deepak Vasisht
IEEE Micro | January 2022, 第 42 卷(1): pp. 69-77
Digital Agriculture for Small-Scale Producers: Challenges and Opportunities
Ranveer Chandra, Stewart Collis
Communications of the ACM | December 2021, 第 64 卷(12): pp. 75-84
Lattice: A Vision for Machine Learning, Data Engineering, and Policy Considerations for Digital Agriculture at Scale
Somali Chaterji, Nathan DeLay, John Evans, Nathan Mosier, Bernard Engel, Dennis Buckmaster, Michael R. Ladisch, Ranveer Chandra
IEEE Open Journal of the Computer Society | June 2021, 第 2 卷
Interactive sound propagation for dynamic scenes using 2D wave simulation
Matthew Rosen, Keith Godin, Nikunj Raghuvanshi
Computer Graphics Forum (Symposium on Computer Animation) | September 2020, 第 39 卷(8)
Directional Sources and Listeners in Interactive Sound Propagation using Reciprocal Wave Field Coding
Chakravarty R. Alla Chaitanya, Nikunj Raghuvanshi, Keith Godin, Zechen Zhang, Derek Nowrouzezahrai, John Snyder
ACM Transactions on Graphics (SIGGRAPH 2020) | July 2020, 第 39 卷(4)
(Equal contribution from first and second listed authors)
Perspective: white space networking with wi-fi like connectivity
Ranveer Chandra, Thomas Moscibroda
Computer Communications Review | December 2019, 第 49 卷(5): pp. 107-109
FarmBeats: Improving Farm Productivity Using Data-Driven Agriculture
Zerina Kapetanovic, Ranveer Chandra, Tusher Chakraborty, Andrew Nelson
SIAM News | July 2019
https://sinews.siam.org/Details-Page/farmbeats-improving-farm-productivity-using-data-driven-agriculture
Parametric Directional Coding for Precomputed Sound Propagation
Nikunj Raghuvanshi, John Snyder
ACM Transactions on Graphics (TOG) – Proceedings of ACM SIGGRAPH 2018 | September 2018, 第 37 卷(4)
Experiences Deploying an Always-on Farm Network
Zerina Kapetanovic, Deepak Vasisht, Jongho Won, Ranveer Chandra, Mark Kimball
ACM GetMobile: Mobile Computing and Communications | June 2017, 第 21 卷
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RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Maria Angels de Luis Balaguer, Vinamra Benara, Renato L. de F. Cunha, Roberto Estevão, Todd Hendry, Daniel Holstein, Jennifer Marsman, Nick Mecklenburg, Sara Malvar, Leonardo Nunes, Rafael Padilha, Morris Sharp, Bruno Silva, Swati Sharma, Vijay Aski, Ranveer Chandra
January 2024
GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models
Bruno Silva, Leonardo Nunes, Roberto Estevão, Vijay Aski, Ranveer Chandra
October 2023
Community Economics for AI Powered Micro-Grid
September 2023
Multi-market Energy Optimization with Renewables via Reinforcement Learning
Lucien Werner, Peeyush Kumar
June 2023
Digital Water for Agriculture
Sara Malvar, Anirudh Badam, Ranveer Chandra
August 2022
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SciAI4Industry – Solving PDEs for industry-scale problems with deep learning
Philipp Witte, Russell Hewett, Kumar Saurabh, AmirHossein Sojoodi, Ranveer Chandra
November 2022
Bill Gates features FarmBeats on GatesNotes
November 2018