Javed A. Aslam Associate Professor PhD, Massachusetts Institute of Technology

Professor Aslam's research interests include machine learning, information retrieval, and the design and analysis of algorithms. In machine learning, he has focused on developing algorithms which are capable of learning in the presence of noisy or erroneous training data. In information retrieval, he has applied techniques from machine learning, information theory, and social choice theory to develop algorithms for automatic information organization, filtering, and metasearch and data fusion. He has also been involved in the fields of scheduling, ad hoc networking, computer security, and functional magnetic resonance imaging.

Prior to joining Northeastern University, he was an Assistant Professor in the Department of Computer Science at Dartmouth College, and he had held a postdoctoral position in the Division of Engineering and Applied Sciences at Harvard University.

Career Publication Highlights

Aslam, Javed A. and Mark Montague. 2001. Models for Metasearch. In Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 276-284. ACM Press.

Aslam, Javed A. and Scott E. Decatur. 1998. Specification and Simulation of Statistical Query Algorithms for Efficiency and Noise Tolerance. Journal of Computer and System Sciences, 56(2):191-208.

Aslam, Javed A. and Scott E. Decatur. 1998. General Bounds on Statistical Query Learning and PAC Learning with Noise via Hypothesis Boosting. Information and Computation, 141(2):85-118.

Personal Home Page

jaa@ccs.neu.edu