Research
Affective Computing

Advance human wellbeing by developing new ways to communicate, understand, and respond to emotion
Research
Space Enabled

Advancing justice in Earth's complex systems using designs enabled by space
Research
Fluid Interfaces

Designing systems for cognitive enhancement
Research
City Science

Looking beyond smart cities
Research
Social Machines

Promoting deeper learning and understanding in human networks
Project Research

FedML: A Research Library and Benchmark for Federated Machine Learning

In this work, we introduce FedML, an open research library and benchmark that facilitates the development of new 'federated learning algo...
Publication Research

FedML: A Research Library and Benchmark for Federated Machine Learning

Chaoyang He, Songze Li, Jinhyun So, Mi Zhang, Xiao Zeng, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Xinghua Zhu, Jianzong Wang, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram and Salman Avestimehr. "FedML: A Research Library and Benchmark for Federated Machine Learning." NeurIPS-SpicyFL 2020.
Project Research

Commalla: Communication for All

(Note: This project was previously called ECHOS.)  Official Commalla website:  https://commallamit.wixsite.com/commal...
Project Research

dementAI

 dementAI is an open-source platform for modeling risk stratification of Alzheimer's dementia using spontaneous speech through ...
Archived
Project Research

SeqCLR: Self-supervised learning of features for time-series data

Interpreting human electroencephalogram (EEG) is a challenging task and requires years of medical training. We present a framework for le...
Archived
Project Research

DAMS: Differentially Private Sketching Data Structures

We propose an improved private count-mean-sketch data structure and show its applicability to differentially private contact tr...
Research
Signal Kinetics

Inventing, building, and deploying wireless sensor technologies to address complex problems in society, industry, and ecology
Research
Open Ocean

Open Ocean
Project Research

Research Area | Emergent Neural Networks to Redesign Clinical Testing of Medicines and Learning from Real World Evidence

Real World Data (RWD) and Real World Evidence (RWE) are playing an increasing role in healthcare decisions to support innovative use of E...
Project Research

Self-Learning AI Model Learns from Patient Data to Design Novel Clinical Trials

Technical summaryUnstructured learning problems without well-defined rewards are unsuitable for current reinforcement learning (RL) appro...
Research
Personal Robots

Building intelligent personified technologies that collaborate with people to help them learn, thrive, and flourish.
Center for Civic Media
Archived
Publication Research

Convolutional neural network for combined classification of fluorescent biomarkers and expert annotations using white light images

G. Yauney, K. Angelino, D. A. Edlund, P. Shah. IEEE 17th International Conference on Bioinformatics and Bioengineering (2017). DOI: 10.1109/BIBE.2017.00-37
Publication Research

Automated segmentation of gingival diseases from oral images

A. Rana, G. Yauney, L. C. Wong, O. Gupta, A. Muftu, P. Shah. IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT). IEEE (2017). DOI: 10.1109/HIC.2017.8227605
Publication Research

Machine learning algorithms for classification of microcirculation images from septic and non-septic patients

Perikumar Javia, Rana A, Shapiro NI, Shah P. IEEE Xplore, Proceedings of 17th International Conference on Machine Learning and Applications (2018) (Conference acceptance rate: 14%). DOI: 10.1109/ICMLA.2018.00097
Publication Research

Computational histological staining and destaining of prostate core biopsy RGB images with generative adversarial neural networks

Aman Rana, Yauney G, Lowe A, Shah P. IEEE Xplore, Proceedings of 17th International Conference on Machine Learning and Applications (2018) (Conference acceptance rate: 14%). DOI: 10.1109/ICMLA.2018.00133
Research
Health 0.0

Health 0.0
Project Research

Artificial Intelligence and Machine Learning in Clinical Development: A Translational Perspective

Technical summary: Future of clinical development is on the verge of a major transformation due to convergence of large new digital data ...
Project Research

Helping Emergency Care Physicians Diagnose Sepsis and Bacterial Infections with Machine Learning and Vision

General overview:Sepsis, a life-threatening complication of bacterial infection, leads to millions of worldwide deaths requires significa...
Project Research

AI Methods for Rapid Automated Staining and Destaining of Tissue Biopsies in Hospitals

General OverviewStaining of tissues sections using chemical and biological dyes has been used for over a century for visualizing various ...
Project Research

Machine Learning from Biomarker Signatures and Correlation to Systemic Health Conditions

Imaging fluorescent disease biomarkers in tissues and skin is a non-invasive method to screen for health conditions. We report an automat...
Project Research

Machine Learning and Automated Segmentation of Oral Diseases Using Biomarker Images

We report a novel method that processes biomarker images collected at the point of care and uses machine learning algorithms to provide a...
Project Research

Machine Learning for Combined Classification of Fluorescent Biomarkers and Expert Annotations Using White Light Images

Biomarker imaging provides non-invasive indicators of disease and is used by human experts to augment disease diagnosis. It is, however, ...
Project Research

Digital Clinical Trials with Novel Machine Learning and AI Architectures

Dr. Shah was an invited speaker and a contributor at The National Cancer Policy Forum developed workshop series at the The National Acade...
Research
Opera of the Future

Extending expression, learning, and health through innovations in musical composition, performance, and participation
Project Research

School Reviews

Parents often select schools by relying on subjective assessments shared by other parents—which are increasingly becoming available on sc...
Publication Research

Personalized Modeling of Real-World Vocalizations from Nonverbal Individuals

Narain, J.*, Johnson, K.T.*, Ferguson, C., O’Brien, A., Talkar, T., Zhang, Y., Wofford, P., Quatieri, T., Picard, R.W.,Maes, P., "Personalized Modeling of Real-World Vocalizations from Nonverbal Individuals," Proceedings of the International Conference on Multimodal Interaction (ICMI), Utrecht, Netherlands, October 2020. (*Co-first authors/Equal contribution)
Project Research

Theme | Mobility On-Demand

Urban populations around the world are rapidly growing. To improve livability, urban residents must reduce dependency on fossil fuels and...
Research
Camera Culture

Making the invisible visible–inside our bodies, around us, and beyond–for health, work, and connection
Project Research

PAL: a wearable on-device deep learning platform for personalized, context-aware, and closed-loop real-time support

OverviewPAL is a  wearable platform for personalized, context-aware, and always-present user change.  PAL has mu...
Project Research

Gobo

Your social media. Your rules.Gobo is an experiment, not a startup. We’re building it to change the conversation on social media and imag...
Research
Future Sketches

Exploring the essence of code as a creative medium
Research
Viral Communications

Creating scalable technologies that evolve with user inventiveness
Project Research

Splintering with distributions: A stochastic decoy scheme for private computation

We present a stochastic scheme for splitting the client data into privatized shares that are transmitted to the server in such settings. ...
Publication Research

Splintering with distributions: A stochastic decoy scheme for private computation

Vepakomma, P., Balla, J., Raskar, R., "Splintering with distributions: A stochastic decoy scheme for private computation." 6 Jul 2020.
Publication Research

Multimodal Inductive Transfer Learning for Detection of Alzheimer's Dementia and its Severity

@article{sarawgi2020multimodal, title={Multimodal Inductive Transfer Learning for Detection of Alzheimer's Dementia and its Severity}, author={Sarawgi, Utkarsh and Zulfikar, Wazeer and Soliman, Nouran and Maes, Pattie}, journal={arXiv preprint arXiv:2009.00700}, year={2020} }
Publication Research

Uncertainty-Aware Multi-Modal Ensembling for Severity Prediction of Alzheimer's Dementia

@misc{sarawgi2020uncertaintyaware, title={Uncertainty-Aware Multi-Modal Ensembling for Severity Prediction of Alzheimer's Dementia}, author={Utkarsh Sarawgi and Wazeer Zulfikar and Rishab Khincha and Pattie Maes}, year={2020}, eprint={2010.01440}, archivePrefix={arXiv}, primaryClass={cs.LG} }
Publication Research

Why have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles

@misc{sarawgi2020unified, title={Why have a Unified Predictive Uncertainty? Disentangling it using Deep Split Ensembles}, author={Utkarsh Sarawgi and Wazeer Zulfikar and Rishab Khincha and Pattie Maes}, year={2020}, eprint={2009.12406}, archivePrefix={arXiv}, primaryClass={cs.LG} }
Research
Human Dynamics

Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion
Research
Responsive Environments

Augmenting and mediating human experience, interaction, and perception with sensor networks
Archived
Research
Civic Media

Creating technology for social change
Archived
Research
Object-Based Media

Changing storytelling, communication, and everyday life through sensing, understanding, and new interface technologies
Archived
Research
Collective Learning

Transforming data into knowledge
Project Research

VizML: A Machine Learning Approach to Visualization Recommendation

Visualization recommender systems aim to lower the barrier to exploring basic visualizations by automatically generating results for anal...
Archived
Post Research

MAS.S64. Real-world Evaluation of Artificial Intelligence and Genome Editing Technologies

MAS.S64 Real-world Evaluation of Artificial Intelligence and Genome Editing Technologies - Fall 2020 Online CourseWhen: Tuesdays, 3-...
Archived
Project Research

Streetchange

Computer vision uncovers predictors of physical urban change

Archived
Post Research

KDD Workshop on Humanitarian Mapping

Neil Gaikwad from the Space Enabled research group is co-organizing the KDD Workshop on Humanitarian Mapping.
Project Research

Migratable AI

We live in a world of personified conversational assistants (agents). We interact with these agents in our daily lives such as smart spea...
Project Research

Research Area | Application, Interpretability and Clinical Translation of Deep Learning Algorithms for Medical Images

Research in our laboratory reduces dependence on specialized medical imaging devices, biological and chemical processes and creates new p...
Research
Sculpting Evolution

Cultivating wisdom through evolutionary and ecological engineering
Research
Molecular Machines

Engineering at the limits of complexity with molecular-scale parts
Archived
Research
Scalable Cooperation

Reimagining human cooperation in the age of social media and artificial intelligence
Project Research

Reversed Urbanism

Predicting Urban Performance through Behavioral Patterns in Temporal Telecom DataThis study explores a novel method to analyze diverse be...
Archived
Project Research

Machine Behavior

Machines powered by artificial intelligence (AI) increasingly mediate our social, cultural, economic, and ...
Archived
Archived
Project Research

A voting-based system for ethical decision making

The problem of ethical decision making presents  a grand challenge for modern AI research. Arguably the main obstacle to automating ...
Archived
Archived
Project Research

Nightmare Machine

For centuries, across geographies, religions, and cultures, people try to innovate ways of scaring each other. Creating a visceral emotio...
Archived
Archived
Project Research

DeepMoji

Emotional content is an important part of language. There are many use cases now showing that natural language processing is becoming an ...
Archived
Archived
Project Research

Norman

We present Norman, world's first psychopath AI. Norman was inspired by the fact that the data used to teach a machine learning algorithm ...
Archived
Archived
Project Research

Shelley: Human-AI Collaborated Horror Stories

Project website: shelley.ai Human-AI collaborated stories: stories.shelley.ai Follow @shelley_ai to collaborate ...
Archived
Post Research

Ishwarya Ananthabhotla and Jaya Narain among 2020 Apple Scholars in AI/ML

Each Scholar was chosen based on their innovative research and demonstrated leadership within their respective fields.
Project Research

Augmented Eternity and Swappable Identities

Have you ever wondered what a friend would do if she was in your decision-making situation? Or thought about where a family mem...
Thesis Research

Prediction and Analysis of Degree of Suicidal Ideation in Online Content

Jones, Noah. Prediction and Analysis of Degree of Suicidal Ideation in Online Content. 2020. MIT, SM Thesis.