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Our People Make HADR Happen
CMU HADR unites researchers from many different disciplines. We’re constantly working on better ways to respond to disasters and deliver humanitarian assistance and disaster relief.
Powered by students, faculty and staff from across the university
| Name | Department Affiliations | HADR Research Interests | Contact Information |
| Amir Barati Farimani | Mechanical Engineering; Biomedical Engineering; Chemical Engineering; Machine Learning |
Drone navigation and path planning in GPS-scrambled environments using deep reinforcement learning | Email | Website |
| Alan Black | Language Technologies Institute | Extracting information from speech, low resource language | Email | Website |
| Yang Cai | Cylab | Steganography, machine intelligence, video analytics, interactive visualization of big data, biomorphic algorithms, medical imaging systems, visual privacy algorithms, learning-on-the-fly video analytics on small UAVs for rescue and recovery | Email | Website |
| Kathleen Carley | Institute for Software Research; Engineering & Public Policy; Social & Decision Science; Heinz College | Social networks, fake news, text mining | Email | Website |
| Yuejie Chi | Electrical & Computer Engineering; Machine Learning | Machine learning, modeling future pandemics | Email | Website |
| Howie Choset | Robotics Institute | CMU HADR lead. Rescue robots, motion and path planning for disaster response | Email | Website |
| Artur Dubrawski | School of Computer Science | Data driven models of public health, understanding data, Applied AI, Medical Kit in a Ruck Sack | Email | Website |
| Fei Fang | Institute for Software Research | Game theory models and machine learning to plan scarce resourcing | Email | Website |
| Baruch Fischoff | Engineering & Public Policy; Institute for Politics & Strategy | Risk analysis | Email | Website |
| Jodi Forlizzi | Human-Computer Interaction Institute |
Designing for decision making and attention limits | Email | Website |
| Bob Frederking | Language Technologies Institute | Question answering, machine translation | Email | Website |
| Rayid Ghani | Machine Learning; Heinz College | Machine learning, public policy, social media analytics, text analytics, natural language processing, social networks | Email | Website |
| Martial Hebert | School of Computer Science |
Object/category recognition in clutter, feature analysis, event detection | Email | Website |
| Ed Hovy | Language Technologies Institute | Semantic analysis of text, event detection, text mining | Email | Website |
| Laszlo A. Jeni | Robotics Institute |
Computer vision for tracking and understanding human behavior by using mobile and distributed sensors |
Email | Website |
| Carlee Joe-Wong | Electrical & Computer Engineering |
Enabling intelligent communications for disaster response |
Email | Website |
| Michael Kaess | Robotics Institute | Mapping, state estimation, rescue robotics, collaborative robots | Email | Website |
| Aniket (Niki) Kittur | Human-Computer Interaction Institute |
Sensemaking, collective intelligence, visualization | Email | Website |
| Swarun Kumar | Electrical & Computer Engineering | Next-generation wireless network protocols and services | Email | Website |
| Changliu Liu | Robotics Institute | Motion planning, human-robot interactions, modeling pandemics in multi-agent systems | Email | Website |
| José Moura | Electrical & Computer Engineering; Biomedical Engineering | Modeling, simulation, and prediction of interventions | Email | Website |
| Graham Neubig | Language Technologies Institute | Low resource language translation for HADR | Email | Website |
| Jean Oh | National Robotics Engineering Center |
Semantic map construction (DoD/Korea MOTIE program for disaster response) | Email | Website |
| Jon Peha | Engineering & Public Policy; Electrical & Computer Engineering | Communications for public safety and disaster response | Email | Website |
| Adam Perer | Human-Computer Interaction Institute | Data visualization, human centered data science | Email | Website |
| Pradeep Ravikumar | Machine Learning |
Robust reinforcement learning for cognitive ISR for HADR Missions | Email | Website |
| Roni Rosenfeld | Machine Learning; Heinz College |
Operational flu tracking system - real time situational awareness technology based on proxy data sources | Email | Website |
| Anthony Rowe | Electrical & Computer Engineering; Cylab |
Extended reality systems | Email | Website |
| Ruslan Salakhutdinov | Machine Learning |
Robust reinforcement learning for cognitive ISR for HADR Missions | Email | Website |
| Marios Savvides | Electrical & Computer Engineering; Cylab | Biometric identification | Email | Website |
| Sebastian Scherer | Robotics Institute | Autonomous aerial robots for GPS-denied environments; adaptive fast search outdoors; indoor exploration with teams of aerial and ground robots; safe drone delivery | Email | Website |
| Dan Siewiorek | Electrical & Computer Engineering; Human-Computer Interaction Institute | Context aware mobile and wearable computing | Email | Website |
| Katia Sycara | Robotics Institute |
Swarms, multi-agent systems, human-robot interactions, game theoretic techniques | Email | Website |
| Pingbo Tang | Civil & Environmental Engineering | Data analytics and infrastructure | Email | Website |
| Matt Travers | Robotics Institute | Rescue robotics, motion planning, collaborative robots | Email | Website |
| Conrad Tucker | Mechanical Engineering; Machine Learning | Modeling pandemics using deep reinforcement learning | Email | Website |
| Osman Yagan | Electrical & Computer Engineering; Cylab | Infectious disease modeling | Email | Website |