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Personal profile

Research Degree Supervision

Click Here to see all postgraduate research opportunities with Dr Shamaila Iram

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Electroencephalography Engineering & Materials Science
Neurodegenerative diseases Engineering & Materials Science
Early Diagnosis Medicine & Life Sciences
Classifiers Engineering & Materials Science
Alzheimer Disease Medicine & Life Sciences
Critical infrastructures Engineering & Materials Science
synchrony Earth & Environmental Sciences
Healthy Volunteers Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2011 2018

  • 9 Conference contribution
  • 5 Article
  • 1 Chapter

Connecting to Smart Cities: Analyzing Energy Times Series to Visualize Monthly Electricity Peak Load in Residential Buildings

Iram, S., Fernando, T. & Hill, R., 18 Oct 2018, Proceedings of the Future Technologies Conference (FTC 2018). Arai, K., Bhatia, R. & Kapoor, S. (eds.). Springer Verlag, p. 333-342 10 p. ( Advances in Intelligent Systems and Computing).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Time series
Energy utilization
Intelligent buildings
Energy efficiency

Exploring Cross-Domain Data Dependencies for Smart Homes to Improve Energy Efficiency

Iram, S., Fernando, T. & Bassanino, M., 5 Dec 2017, UCC '17 Companion: Companion Proceedings of the 10th International Conference on Utility and Cloud Computing. Association for Computing Machinery (ACM), p. 221-226 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Energy efficiency
Internet of things

A Novel Hybrid Engineering Methodology to Enhance Collaboration During the Design and Development of Meta Product Services

Iram, S., Fernando, T. & Bassanino, M., 20 Sep 2016, Collaboration in a Hyperconnected World: 17th IFIP WG 5.5 Working Conference on Virtual Enterprises, PRO-VE 2016, Porto, Portugal, October 3-5, 2016, Proceedings. Afsarmanesh, H., Camarinha-Matos, L. M. & Lucas Soares, A. (eds.). Springer, Cham, p. 385-393 (IFIP Advances in Information and Communication Technology; vol. 480).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Product design
Sustainable development
Software engineering

Early Diagnosis of Neurodegenerative Diseases from Gait Discrimination to Neural Synchronization

Iram, S., Vialatte, F. & Qamar, M. I., 2016, Applied Computing in Medicine and Health: A volume in Emerging Topics in Computer Science and Applied Computing. Al-Jumeily, D., Hussain, A., Mallucci, C. & Oliver, C. (eds.). Elsevier, p. 1-26 26 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

Neurodegenerative Diseases
Early Diagnosis
Healthy Volunteers
Alzheimer Disease

A classifier fusion strategy to improve the early detection of neurodegenerative diseases

Iram, S., Fergus, P., Jumeily, D. A., Hussain, A. & Randles, M., 2015, In : International Journal of Artificial Intelligence and Soft Computing. 5, 1, p. 23-44 22 p.

Research output: Contribution to journalArticle

Neurodegenerative diseases
Fusion reactions

Activities 2013 2013

  • 1 Oral presentation

On the Early Detection of Neurodegenerative Diseases from Gait and EEG Signals: A Machine Learning Approach

Shamaila Iram (Speaker), Dhiya Al-jumeily (Speaker), Abir Jaffar Hussain (Speaker), Paul Fergus (Speaker)
31 Mar 2013

Activity: Talk or presentation typesOral presentation