Professor Ugail

Professor of Visual Computing. Mathematics is eternal, I do hope! #Science #ArtificialIntelligence #HumanIntelligence #Maldives

[Professor Ugail @ugail]

Practice is what makes progress.

[Professor Ugail @ugail]

Just published: Ugail, H., & Howard, N. (2026). Symmetry-Organised Complexity in Quantum Neural Networks. Symmetry, 18(6), 912. https://t.co/O4PPeJPwGG

[Professor Ugail @ugail]

Just published: Ugail, H.; Howard, N.; Elmahmudi, A.A.; Mnasri, Z. Subject-Wise Depression Screening from Eight-Channel Resting-State EEG Using Asymmetry-Aware Spectral Features and Connectivity Ablation. Sensors 2026, 26, 3065. https://t.co/AXmbLnixZv

[Professor Ugail @ugail]

The technology we have recently built to map someone's fingerprint from the tiny traces of sweat, lipids, salts, amino acids and other molecules they leave behind when they touch a surface. https://t.co/IUl7yfXyju

[Professor Ugail @ugail]

I have prepared some introductory material for anyone interested in learning more about the emerging area of quantum neural networks.

A Technical Introduction to Quantum Neural Networks https://t.co/9iWQi4Q41X

The material is intended as a starting point for students, researchers, and practitioners who want a technically oriented introduction to the concepts behind quantum neural networks.

[Professor Ugail @ugail]

In the world of classical computing, 2 seconds is a blink. In the world of Quantum Processing Units (QPUs), 2 seconds is an "eternity." I have been running jobs on real quantum hardware lately that highlight just how precious every microsecond of coherence is. We are working to discover how we can keep Quantum Neural Networks "trainable" even when things get messy within noisy quantum environments.

[Professor Ugail @ugail]

Is this the real face of Anne Boleyn? Results from our recent paper in npj Heritage Science (Reassessing Anne Boleyn and other Boleyn women in Holbein drawings using facial recognition, https://t.co/N0YrhWd3l7), https://t.co/GUhmQgZlES

[Professor Ugail @ugail]

Biharmonic Subdivision on Riemannian Manifolds https://t.co/jJPfJQRe9q

[Professor Ugail @ugail]

Going beyond loss and accuracy in AI model training. The standard metrics currently used during AI model training, such as loss and accuracy, may not reveal much about how internal representations unfold. Here, we look beyond accuracy to study how an AI vision model learns internally. By analysing the changing patterns of activity within the network during training, we show that there may be earlier and richer signals of learning progress than those provided by standard metrics alone. https://t.co/ZzA8NIYSoR

[Professor Ugail @ugail]

New publication - "Evaluation of latent diffusion enhanced face recognition under forensic image degradations", https://t.co/4LJtkhvWij

[Professor Ugail @ugail]

Pleasure speaking at the Maldives Annual Judicial Conference 2026 yesterday on the “Responsible use of Technology and Artificial Intelligence in Strengthening Judicial Efficiency”. Thank you @djamaldives for the kind invitation.

[Professor Ugail @ugail]

Do large language models possess consciousness? Our systematic investigation says no—with important caveats. We developed a mathematical framework that measures three key properties distinguishing conscious from unconscious brain states: how activity integrates across time scales, how different brain rhythms interact, and how flexibly the brain coordinates itself. When we applied these same measures to GPT-2, we found they behave fundamentally differently in AI. The scores depended heavily on operating settings (like "temperature" controls) rather than the AI's actual architecture. Even more striking: when we deliberately damaged the AI, complexity scores sometimes increased whilst performance got measurably worse. Therefore, our conclusion is, mathematical complexity doesn't equal subjective experience. LLMs are sophisticated prediction engines, not conscious agents—and our measurements confirm they lack the brain-like organisation characteristic of consciousness. https://t.co/PH5piIQrTq https://t.co/cPZfccHEhG

[Professor Ugail @ugail]

Just published this preprint. Neuroscience-inspired dynamical metrics can identify functional organisation in Large Language Models. https://t.co/V3iBC0aIZP

[Professor Ugail @ugail]

Understanding and measuring levels of consciousness in biological and artificial systems is a major scientific frontier. We attempt to address this by introducing a theory-neutral, empirically grounded framework that measures key neural dynamical properties—integration, organised complexity, and metastability—validated using both synthetic models and real EEG data. https://t.co/cPZfccHEhG

[Professor Ugail @ugail]

Our facial recognition work recently supported this reporting by The New York Times Visual Investigations team.

https://t.co/AtDb34BqG5

[Professor Ugail @ugail]

At the Gitex Global 2025 - showcasing our collaborative work with Dubai Police on accurate biometric gait recognition. Dubiometrics integrates non-invasive biometrics such as gait and face for accurate person authentication with ease. We are one step closer to creating a complete automated system for future passportless travel.

[Professor Ugail @ugail]

@NtshepyK @grok Here’s one. Tried to stick to the original as much as possible.

[Professor Ugail @ugail]

@Laiba_Mahloof Best of luck!

[Professor Ugail @ugail]

ދިވެހިރާއްޖޭގެ ފަޚުރުވެރި 60 ވަނަ މިނިވަން ދުވަހުގެ ހެޔޮއެދުންތައް އަރިސްކުރަން. އެތެރެއާއި އަދި ބޭރުން ވިއަަސް އަޅުގަނޑުމެންގެ ރާއްޖޭގެ މިނިވަންކަމަށް ހުރަސް އެޅޭ އުންޑަތަކުން ސަލާމަތްކޮށް އަޅުގަނޑުމެންގެ ރާއްޖެ މިނިވަންކަން މަތީ އަބަދުމެ ލަހައްޓަވާށި. އާމީން!

[Professor Ugail @ugail]

@ibrahimlatheef ޑރ. ތިޔައީ ބޯދާ ވިސްނުންފުޅެއް.

[Professor Ugail @ugail]

ގައުމުދެކެ ހަގިގީ ލޯބިވާ އެއްވެސް މީހަކު ނުވަތަ ބަޔަކު ސިޔާސީގޮތުން ވިއަސް ނުވަތަ އެެހެން ގޮަތަކުން ވިއަސް ކުރި ހޯދުމަށް އާންމު ފަރުދުން ކުރިމަތީ ދޮގުހެދުމާއި އޮޅުވާލުން އިސްނުކުރާނެ. އެފަދަމީހުން އެއީ ގައުމަށްވުރެ ތިމާމެންގެ އަމިއްލަ އެދުން މުހިންމުކަމަށް ދެކޭ މީހުން.

[Mihaaru @Mihaarunews]

ސިޔާސީ އޮއިވަރަކީ ގައުމީ ލޯބީގެ ކުރިމަތީގައި އެއްވެސް މާނައެއް ހުރި އެއްޗެއް ނޫން: ރައީސް
https://t.co/zdV3TYg6FP