Electrical Engineering and Computer Science

All CSE Faculty

A  B  C  D  E  F  G  H  I  J  K  L  M  N  O  P  Q  R  S  T  U  V  W  X  Y  Z 

faculty photo Kamil, Amir
Lecturer III, Electrical Engineering and Computer Science
Division: CSE
Address: 2632 Beyster
Email: akamil @ umich.edu
Phone: 734-764-2138
 
faculty photo Kapritsos, Manos
Assistant Professor of Electrical Engineering & Computer Science, College of Engineering (through December 2016)
Division: CSE
Address: 4824 Beyster
Email: manosk @ umich.edu
Phone: 734-615-3343
Research Interests: Distributed systems, fault tolerance, formal verification, transaction processing.
 
faculty photo Kasikci, Baris
Visiting Assistant Professor, Electrical Engineering and Computer Science
Division: CSE
Address: 3709 Beyster (Temporary)
Email: barisk @ umich.edu
Phone: 734-647-4255 (Temporary)
Research Interests: Operating systems, dependable systems, program analysis, system security
 
No Photo
Kay, Matthew
Assistant Professor, School of Information
Assistant Professor, Electrical Engineering & Computer Science, Computer Science and Engineering
Division: CSE
Address: 105 S. State St.
Email: mjskay @ umich.edu
Phone: 734-763-2285
 
faculty photo Kieras, David E.
Professor, Electrical Engineering and Computer Science
Professor, Psychology Department
Division: CSE
Address: 3641 Beyster Bldg.
Email: kieras @ umich.edu
Phone: (734) 763-6739
Research Interests: Human-computer interaction, User interface design, Human cognition and performance, Natural language processing
 
faculty photo Koutra, Danai
Assistant Professor, Electrical Engineering & Computer Science
Division: CSE
Address: 3633 Beyster
Email: dkoutra @ umich.edu
Phone: 734-764-4237
Research Interests: Data mining, graph summarization and visualization, and applied machine learning.
 
faculty photo Kuipers, Benjamin
Professor, Electrical Engineering and Computer Science
Division: CSE
Address: 3741 Beyster Bldg.
Email: kuipers @ umich.edu
Phone: (734) 647-6887
Research Interests: The representation of commonsense and expert knowledge, with particular emphasis on the effective use of incomplete knowledge.