
Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Carla E. Brodley
Also published under:C. E. Brodley, Carla Brodley, C. Brodley, Carly Brodley
Affiliation
Khoury College of Computer Sciences, Northeastern University, Boston, MA, U.S.A
Topic
Best Practices,Academic Advisors,Alignment Program,Bachelor Degree,Barriers To Entry,Budget Model,Cognitive Domains,Community College,Consortium Members,Data Partitioning,Demographic Groups,Direct Admission,Dirichlet Process,Disease Dataset,Disease Progression,Entire Dataset,Expanded Disability Status Scale,Experimental Distribution,Gaussian Process,Gaussian Process Mixture,Gaussian Process Model,Hierarchical Structure,High GPA,High School,Instance Pairs,Institutional Barriers,Institutional Leaders,Introductory Course,K-means Algorithm,Larger Community,Latent Variables,Level Of Disability,Master Of Science,Master’s Degree,Means Clustering,Mixture Model,Mixture Of Processes,Multiple Sclerosis,Multiple Sclerosis Patients,Penalty Term,Posterior Probability,Predict Disease Course,Predict Disease Progression,Prediction Model,Prior Experience,Process Model,Project Leader,Representation Of Women,Retention Problems,Series Of Meetings,
Biography
Dr. Carla E. Brodley is a professor in the Department of Computer Science at Tufts University. She received her Ph.D. in computer science from the University of Massachusetts, at Amherst in 1994. From 1994–2004, she was on the faculty of the School of Electrical Engineering at Purdue University, West Lafayette, Indiana. Professor Brodley's research interests include machine learning, knowledge discovery in databases and computer security. In 2004–2005 she was a member of the Defense Science Study Group. In 2001 she served as program co-chair for the International Conference on Machine Learning (ICML) and in 2004, she served as the general chair for ICML. Currently she is on the editorial board of the Journal for Machine Learning Research and an associate editor on the Machine Learning Journal. She is a member of the Computing Research Association's Committee on the Status of Women in Computing Research (CRA-W).