Personal profile
Biography
Callum Altham is a Graduate Teaching Assistant and PhD Candidate specializing in artificial intelligence and medical informatics. With a passion for both academia and industry, he combines teaching undergraduate computer science courses with research in the field of AI and medical informatics.
Having earned a Bachelor of Science degree in Computer Science, this educational background laid the groundwork for subsequent pursuits of a Master of Science degree in Cyber Security. Currently pursuing a Doctoral degree, he focuses his research on the intersection of artificial intelligence and medical informatics. His doctoral thesis, titled "Early Detection and Diagnosis of Parkinson’s Disease Dementia Using Deep Learning" aims to develop innovative approaches to identify and diagnose Parkinson's Disease Dementia at an early stage, enabling timely intervention and improved patient care.
In addition to their research pursuits, he serves as a Graduate Teaching Assistant, sharing his expertise with undergraduate students in the field of computer science. This experience as a teaching assistant allows him to effectively communicate complex concepts, mentor aspiring students, and create an engaging learning environment.
Education/Academic qualification
Cyber Security, MSc, Improving Adversarial Attacks on Deep Learning Based Medical Systems using Reinforcement Learning
Sept 2021 → Aug 2022
Award Date: 3 Nov 2022
Computer Science, BSc, Effective Human Facial Emotion Recognition using Deep Learning Techniques
Sept 2018 → Jul 2021
Award Date: 24 Jun 2021
Other positions
Graduate Teaching Assistant
1 Oct 2022 → …
Research Projects Coordinator
Apr 2022 → Sept 2022
Research Assistant
Mar 2021 → Aug 2021
Research Centres
- Data and Complex Systems Research Centre
- Centre for Intelligent Visual Computing Research
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 15 Life on Land
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Collaborations and top research areas from the last five years
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Early Detection of Parkinson's Disease Dementia Using Dual-Sided Multi-Scale Convolutional Neural Networks (DSMS-CNN)
ALTHAM, C., ZHANG, H., TROVATI, M., PEREIRA, E., Ray, N., Keller, S. & Macerollo, A., 19 Dec 2023, Medical Imaging and Computer-Aided Diagnosis: Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022). Su, R., Zhang, Y., Liu, H. & F Frang, A. (eds.). Springer, Vol. 810. p. 191-201 11 p. (Lecture Notes in Electrical Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review
Open AccessFile54 Downloads (Pure) -
Adaptive MUlti-scale Superpixel Embedding Convolutional Neural Network (AMUSE-CNN) for Land Use Classification
ZHANG, H., ALTHAM, C., TROVATI, M., Zhang, C., Ajienka, N., Lawal , O. & NWEGBU, C., 2022, In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15, p. 7631-7642 12 p.Research output: Contribution to journal › Article (journal) › peer-review
Open AccessFile7 Link opens in a new tab Citations (Scopus)106 Downloads (Pure) -
Automatic Detection of the CaRS Framework in Scholarly Writing Using Natural Language Processing
Omotola, O., Nnamoko, N., Lam, C., Korkontzelos, I., Altham, C. & Barrowclough, J., 11 Jul 2025, In: Industry Week. 14, 14, p. 1-29 29 p., 2799.Research output: Contribution to journal › Article (journal) › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)15 Downloads (Pure) -
Machine learning for the detection and diagnosis of cognitive impairment in Parkinson’s Disease: a systematic review
ALTHAM, C., ZHANG, H. & PEREIRA, E., 16 May 2024, In: PLoS ONE. 37 p., e0303644.Research output: Contribution to journal › Review article › peer-review
Open AccessFile28 Link opens in a new tab Citations (Scopus)238 Downloads (Pure) -
Early Detection of Parkinson’s Disease Dementia Using Dual-Sided Multi-scale Convolutional Neural Networks (DSMS-CNN)
Altham, C., Zhang, H., Trovati, M., Pereira, E., Ray, N., Keller, S., Macerollo, A. & Wieshmann, H., 20 Dec 2023, Medical Imaging and Computer-Aided Diagnosis - Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis MICAD 2022. Su, R., Zhang, Y., Liu, H. & F Frangi, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 191-201 11 p. (Lecture Notes in Electrical Engineering; vol. 810 LNEE).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review