Usman Naeem

Contact Details

Title: Research Student
Tel: Internal: [13] 7408
National: 020 7882 7408
International: +44 20 7882 7408
Fax: National: 020 7882 7997
International: +44 20 7882 7997
Email: usman [dot] naeem [at] elec.qmul.ac.uk

Room: Eng 351

Research Group: Networks Research Group

Supervisor: Dr. John Bigham

Project title: Monitoring the Aged in a Home Environment - Analysis of the Intentions of Elderly People with Alzheimer’s Disease while Conducting Everyday Activities of Daily Life (ADL)

Biography

• 1st Class BSc Honours in Information and Communication Technology
• Winner of Student Project of the Year in Computing Awards 2005
• Winner of College Drapers Award for Project of the Year 2005
• Short-listed Nomination for Best Use of IT in Science, Engineering & Technology Awards 2005

Research Interests:

• Activity of Daily Life Recognition
• Reliable Task Recognition via Object Usage Data within the Home

Publications

• Naeem, U. Bigham, J. (2008). “Activity Recognition using a Hierarchical Framework”. Ambient Technologies for Diagnosing and Monitoring Chronic Patients Workshop, Tampere, Finland, January 29th, 2008

• Naeem, U. Bigham, J. Wang, J. (2007). “Recognising Activities of Daily Life Using Hierarchical Plans”.Proceedings of the 2nd European Conference on Smart Sensing and Context, LNCS 4793, Page(s): 175-189

• Naeem, U. Bigham, J. (2007). “A Comparison of Two Hidden Markov Approaches to Task Identification in the Home Environment”. Proceedings of the 2nd International Conference on Pervasive Computing and Applications, Page(s): 383-388