Prof Venet Osmani

Venet Osmani

Professor of Clinical AI and Machine Learning

Digital Environment Research Institute
Queen Mary University of London
venetosmani.com
ORCID Google Scholar LinkedIn X

Research

machine learning, synthetic data, artificial data, generative modelling, prognostic modelling, diagnostic modelling

Underpinning Bioengineering, Cancer Models, Cardiovascular Models, Infectious Disease and Inflammation Models

Interests

My interdisciplinary research focuses on analysis of large-scale, longitudinal health records, including biomarkers, imaging, multi-omics, and routine care data to optimise treatment strategies, improve patient care and mitigate health inequities. Apart from clinical data, I also work on incorporating human behaviour data, such as those generated from wearable devices and smartphones, with a particular focus on mental health.

Methodological aspects of my research include generative architectures, such as GANs VAEs, and Diffusion Models, for synthetic (artificial) patient data, explainable AI methods and sample complexity.

The overarching objective of my research is to integrate predictive modelling at the bedside and bring the acquired evidence back, in a continuously improving feedback loop, consequently establishing a learning digital health system.

Publications

solid heart iconPublications of specific relevance to Predictive in vitro Models

2026

Coherent cross-modal generation of synthetic biomedical data to advance multimodal precision medicine
Marchesi R, Lazzaro N, Endrizzi W, Leonardi G, Pozzi M, Ragni F, Bovo S, Moroni M et al.
Plos Computational Biology, Public Library of Science (Plos) vol. 22 (4) 
16-04-2026
Reducing Class Bias In Data-Balanced Datasets Through Hardness-Based Resampling
Pukowski P, Osmani V
In Arxiv 
10-04-2026

2025

Machine Learning Analysis Applied to Prediction of Early Progression Independent of Relapse Activity in Multiple Sclerosis Patients
Poretto V, Endrizzi W, Betti M, Bovo S, Bellinvia A, Ragni F, Lapucci C, Moroni M et al.
European Journal of Neurology, Wiley vol. 32 (12) 
28-11-2025
Critical Challenges and Guidelines in Evaluating Synthetic Tabular Data: A Systematic Review
Nafis N, Esnaola I, Martinez-Perez A, Villa-Uriol M-C, Osmani V
In Arxiv 
11-09-2025
Multimodal Latent Fusion of ECG Leads for Early Assessment of Pulmonary Hypertension
Suvon MNI, Zhou S, Tripathi PC, Fan W, Alabed S, Khanal B, Osmani V, Swift AJ et al.
In Arxiv 
08-09-2025
Bias in vital signs? Machine learning models can learn patients’ race or ethnicity from the values of vital signs alone
Velichkovska B, Gjoreski H, Denkovski D, Kalendar M, Mullan ID, Gichoya JW, Martinez N, Celi L et al.
Bmj Health & Care Informatics, Bmj vol. 32 (1) 
01-07-2025
Reply to Comments on the Article “Machine Learning Predicts Risk of Falls in Parkinson's Disease Patients in a Multicenter Observational Study”
Malaguti MC, Longo C, Moroni M, Ragni F, Bovo S, Chierici M, Gios L, Avanzino L et al.
European Journal of Neurology vol. 32 (7) 
01-07-2025
Neuropsychological and clinical variables associated with cognitive trajectories in patients with Alzheimer's disease
Riello M, Moroni M, Bovo S, Ragni F, Buganza M, Di Giacopo R, Chierici M, Gios L et al.
Frontiers in Aging Neuroscience, Frontiers vol. 17 
27-05-2025
Generative AI mitigates representation bias and improves model fairness through synthetic health data
Marchesi R, Micheletti N, Kuo NI-H, Barbieri S, Jurman G, Osmani V
Plos Computational Biology, Public Library of Science (Plos) vol. 21 (5) 
19-05-2025
MeDSLIP: Medical Dual-Stream Language-Image Pre-training with Pathology-Anatomy Semantic Alignment
Fan W, Suvon MNI, Zhou S, Liu X, Alabed S, Osmani V, Swift AJ, Chen C et al.
In Arxiv 
30-04-2025
Machine Learning Predicts Risk of Falls in Parkison's Disease Patients in a Multicenter Observational Study
Malaguti MC, Longo C, Moroni M, Ragni F, Bovo S, Chierici M, Gios L, Avanzino L et al.
European Journal of Neurology, Wiley vol. 32 (5) 
30-04-2025

2024

Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection
Suvon MNI, Tripathi PC, Fan W, Zhou S, Liu X, Alabed S, Osmani V, Swift AJ et al.
In Arxiv 
05-07-2024
Artificial intelligence of imaging and clinical neurological data for predictive, preventive and personalized (P3) medicine for Parkinson Disease: The NeuroArtP3 protocol for a multi-center research study
Malaguti MC, Gios L, Giometto B, Longo C, Riello M, Ottaviani D, Pellegrini M, Di Giacopo R et al.
Plos One, Public Library of Science (Plos) vol. 19 (3) 
14-03-2024
Multimodal Variational Autoencoder for Low-Cost Cardiac Hemodynamics Instability Detection
Suvon MNI, Tripathi PC, Zhou S, Liu X, Alabed S, Osmani V
In Medical Image Computing and Computer Assisted Intervention – Miccai 2024, Springer Nature 296-306.  
01-01-2024

2023

An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care
Sheikhalishahi S, Bhattacharyya A, Celi LA
Artificial Intelligence in Medicine, Elsevier vol. 144 
14-09-2023
Machine learning models predict liver steatosis but not liver fibrosis in a prospective cohort study
Mamandipoor B, Wernly S, Semmler G, Flamm M, Aigner E, Datz C, Wernly B
Clinics and Research in Hepatology and Gastroenterology, Elsevier vol. 47 (7) 
17-07-2023
The impact of ethnic background on ICU care and outcome in sepsis and septic shock – A retrospective multicenter analysis on 17,949 patients
Koköfer A, Mamandipoor B, Flamm M, Rezar R, Wernly S, Datz C, Jung C
Bmc Infectious Diseases, Springer Nature vol. 23 (1) 
31-03-2023
A Survey of Bias in Healthcare: Pitfalls of Using Biased Datasets and Applications
Velichkovska B, Denkovski D, Gjoreski H, Kalendar M
 
01-01-2023

2022

Hyperlactatemia and altered lactate kinetics are associated with excess mortality in sepsis
Rezar R, Mamandipoor B, Seelmaier C, Jung C, Lichtenauer M, Hoppe UC, Osmani V
Wiener Klinische Wochenschrift, Springer Nature vol. 135 (3-4), 80-88.  
28-12-2022
Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation
Carrington AM, Manuel DG, Fieguth PW, Ramsay T, Osmani V, Bennett C, Hawken S, Magwood O et al.
Ieee Transactions On Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers (Ieee) vol. 45 (1), 329-341.  
05-12-2022
Automatically detecting Crohn’s disease and Ulcerative Colitis from endoscopic imaging
Chierici M, Puica N, Pozzi M, Colangelo A, Osmani V
Bmc Medical Informatics and Decision Making, Springer Nature vol. 22 (Suppl 6) 
18-11-2022
COVID-19 machine learning model predicts outcomes in older patients from various European countries, between pandemic waves, and in a cohort of Asian, African, and American patients
Mamandipoor B, Bruno RR, Wernly B, Wolff G, Fjølner J, Artigas A, Pinto BB, Schefold JC et al.
Plos Digital Health, Public Library of Science (Plos) vol. 1 (11) 
08-11-2022
Prediction of stress levels in the workplace using surrounding stress
Muñoz S, Iglesias CÁ, Osmani V
Information Processing & Management, Elsevier vol. 59 (6) 
01-11-2022
Mitigating Health Data Poverty: Generative Approaches versus Resampling for Time-series Clinical Data
Marchesi R, Micheletti N, Jurman G, Osmani V
In Arxiv 
26-10-2022
Machine Learning Models predict liver steatosis
Wernly B, Wernly S, Semmler G, Flamm M, Aigner E
 
01-08-2022
Delirium prediction in the ICU: designing a screening tool for preventive interventions
Bhattacharyya A, Sheikhalishahi S, Torbic H, Yeung W, Wang T, Celi LA
Jamia Open, Oxford University Press (Oup) vol. 5 (2) 
06-04-2022
Disease-Course Adapting Machine Learning Prognostication Models in Elderly Patients Critically Ill With COVID-19: Multicenter Cohort Study With External Validation
Jung C, Mamandipoor B, Fjølner J, Bruno RR, Wernly B, Artigas A, Pinto BB, Schefold JC et al.
Jmir Medical Informatics, Jmir Publications vol. 10 (3) 
31-03-2022
Management of intoxicated patients – a descriptive outcome analysis of 4,267 ICU patients
Rezar R, Jung C, Mamandipoor B, Seelmaier C, Felder TK, Wernly S, Zwaag SM, Osmani V
Bmc Emergency Medicine, Springer Nature vol. 22 (1) 
12-03-2022
Red Cell Distribution Width Is Independently Associated with Mortality in Sepsis
Dankl D, Rezar R, Mamandipoor B, Zhou Z, Wernly S
Medical Principles and Practice, Karger Publishers vol. 31 (2), 187-194.  
01-01-2022

2021

Machine Learning Models Cannot Replace Screening Colonoscopy for the Prediction of Advanced Colorectal Adenoma
Semmler G, Wernly S, Wernly B, Mamandipoor B, Aigner E, Osmani V
Journal of Personalized Medicine, Mdpi vol. 11 (10) 
29-09-2021
Participants’ Experience and Adherence in Repeated Measurement Studies Among Office-Based Workers
Lukan J, Bolliger L, Clays E, Mayora O
Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers. 
21-09-2021
Underweight but not overweight is associated with excess mortality in septic ICU patients
Danninger T, Rezar R, Mamandipoor B, Dankl D, Koköfer A, Jung C
Wiener Klinische Wochenschrift, Springer Nature vol. 134 (3-4), 139-147.  
16-09-2021
Benchmarking machine learning models on multi-centre eICU critical care dataset
Sheikhalishahi S, Balaraman V, Osmani V
In Arxiv 
05-08-2021
Gastroenterologist against the machine - opportunities and limitations of machine learning models for prediction of advanced adenoma
Semmler G, Wernly S, Wernly B, Mamandipoor B, Bachmayer S, Semmler L
54. Jahrestagung & 31. Fortbildungskurs der Österreichischen Gesellschaft für Gastroenterologie & Hepatologie – ÖGGH (Hybrid Veranstaltung). 
01-08-2021
ICU-Mortality in Old and Very Old Patients Suffering From Sepsis and Septic Shock
Bruno RR, Wernly B, Mamandipoor B, Rezar R, Binnebössel S, Baldia PH, Wolff G, Kelm M et al.
Frontiers in Medicine, Frontiers vol. 8 
09-07-2021
Prediction of Blood Lactate Values in Critically Ill Patients: A Retrospective Multi-center Cohort Study
Mamandipoor B, Yeung W, Agha-Mir-Salim L, Stone DJ, Osmani V, Celi LA
In Arxiv 
07-07-2021
Prediction of blood lactate values in critically ill patients: a retrospective multi-center cohort study
Mamandipoor B, Yeung W, Agha-Mir-Salim L, Stone DJ
Journal of Clinical Monitoring and Computing, Springer Nature vol. 36 (4), 1087-1097.  
05-07-2021
Use of eHealth Platforms and Apps to Support Monitoring and Management of Home-Quarantined Patients With COVID-19 in the Province of Trento, Italy: App Development and Implementation
Gios L, Falceri GC, Micocci S, Patil L, Testa S, Sforzin S, Turra E, Conforti D et al.
Jmir Formative Research, Jmir Publications vol. 5 (5) 
31-05-2021
Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation
Mamandipoor B, Frutos-Vivar F, Peñuelas O, Rezar R, Raymondos K, Muriel A, Du B, Thille AW et al.
Bmc Medical Informatics and Decision Making, Springer Nature vol. 21 (1) 
07-05-2021
The evolution of personalized healthcare and the pivotal role of European regions in its implementation
Nardini C, Osmani V, Cormio PG, Frosini A, Turrini M, Neumuth T, D’Errico G
Personalized Medicine, Taylor & Francis vol. 18 (3), 283-294.  
07-04-2021
Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation
Carrington AM, Manuel DG, Fieguth PW, Ramsay T, Osmani V, Wernly B, Bennett C, Hawken S et al.
In Arxiv 
21-03-2021
Propensity-Adjusted Comparison of Mortality of Elderly Versus Very Elderly Ventilated Patients
Wernly B, Bruno RR, Frutos-Vivar F, Peñuelas O, Rezar R, Raymondos K, Muriel A, Du B et al.
Respiratory Care, Sage Publications vol. 66 (5), 814-821.  
02-03-2021

2020

Failure of Lactate Clearance Predicts the Outcome of Critically Ill Septic Patients
Bruno RR, Wernly B, Binneboessel S, Baldia P, Duse DA, Erkens R, Kelm M
Diagnostics, Mdpi vol. 10 (12) 
18-12-2020
Machine learning predicts mortality in septic patients using only routinely available ABG variables: a multi-centre evaluation
Wernly B, Mamandipoor B, Baldia P, Jung C
International Journal of Medical Informatics, Elsevier vol. 145 
24-10-2020
Sex-specific outcomes and management in critically ill septic patients
Wernly B, Bruno RR, Mamandipoor B, Jung C
European Journal of Internal Medicine, Elsevier vol. 83, 74-77.  
12-10-2020
Benchmarking machine learning models on multi-centre eICU critical care dataset
Sheikhalishahi S, Balaraman V
Plos One, Public Library of Science (Plos) vol. 15 (7) 
02-07-2020
Blood Lactate Concentration Prediction in Critical Care.
Mamandipoor B, Majd M
Studies in Health Technology and Informatics, Ios Press vol. 270, 73-77.  
16-06-2020
Data-Driven Analysis of Parkinson's Disease and its Detection at an Early Stage
Talitckii A, Anikina A, Kovalenko E, Mayora O, Osmani V, Bril E, Somov A
Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare. 
18-05-2020
Unobtrusive Stress Assessment Using Smartphones
Maxhuni A, Hernandez-Leal P, Morales EF, Sucar LE, Osmani V
Ieee Transactions On Mobile Computing, Institute of Electrical and Electronics Engineers (Ieee) vol. 20 (6), 2313-2325.  
18-02-2020
Monitoring and detecting faults in wastewater treatment plants using deep learning
Mamandipoor B, Majd M, Sheikhalishahi S, Osmani V
Environmental Monitoring and Assessment, Springer Nature vol. 192 (2) 
29-01-2020
400: PREDICTING DELIRIUM RISK FOR THE FOLLOWING 24 HOURS IN CRITICALLY ILL PATIENTS USING DEEP LEARNING
Bhattacharyya A, Sheikhalishahi S, Krishnan S, Osmani V
Critical Care Medicine, Wolters Kluwer vol. 48 (1), 182-182.  
01-01-2020

2019

Blood lactate concentration prediction in critical care patients: handling missing values
Mamandipoor B, Majd M, Moz M, Osmani V
In Arxiv 
03-10-2019
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review
Sheikhalishahi S, Miotto R, Dudley JT, Lavelli A, Rinaldi F, Osmani V
In Arxiv 
15-08-2019
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review
Sheikhalishahi S, Miotto R, Lavelli A, Rinaldi F
Jmir Medical Informatics, Jmir Publications vol. 7 (2) 
27-04-2019

2018

Detecting dressing failures using temporal–relational visual grammars
Ruiz E, Osmani V, Sucar LE
Journal of Ambient Intelligence and Humanized Computing, Springer Nature vol. 10 (7), 2757-2770.  
22-08-2018
Automatic processing of Electronic Medical Records using Deep Learning
Osmani V, Li L, Danieletto M, Dudley J
Proceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare. 
21-05-2018
Processing of Electronic Health Records using Deep Learning: A review
Osmani V, Li L, Danieletto M, Glicksberg B, Dudley J, Mayora O
In Arxiv 
05-04-2018
Smartphone apps usage patterns as a predictor of perceived stress levels at workplace
Ferdous R, Osmani V, Mayora O
In Arxiv 
10-03-2018

2017

Enabling Prescription-based Health Apps
Osmani V, Forti S, Mayora O, Conforti D
In Arxiv 
29-06-2017
Challenges and opportunities in evolving TreC personal health record platform
Osmani V, Forti S, Mayora O
Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare. 
23-05-2017
Enabling prescription-based health apps
Osmani V, Mayora O
Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare. 
23-05-2017
Preface
Sucar E, Mayora O, Tapus A, Ahuactzin JM, Farinelli A, Moran A
Lecture Notes of The Institute For Computer Sciences Social Informatics and Telecommunications Engineering Lnicst vol. 179 LNICST 
01-01-2017

2016

Using Intermediate Models and Knowledge Learning to Improve Stress Prediction
Maxhuni A, Hernandez-Leal P, Morales EF, Osmani V, Mayora O
 
06-12-2016
Classification of bipolar disorder episodes based on analysis of voice and motor activity of patients
Maxhuni A, Muñoz-Meléndez A, Osmani V, Perez H
Pervasive and Mobile Computing, Elsevier vol. 31, 50-66.  
01-09-2016
Stress modelling and prediction in presence of scarce data
Maxhuni A, Hernandez-Leal P, Sucar LE, Osmani V
Journal of Biomedical Informatics, Elsevier vol. 63, 344-356.  
31-08-2016

2015

Smartphones in Mental Health: Detecting Depressive and Manic Episodes
Osmani V, Gruenerbl A, Bahle G, Haring C, Lukowicz P, Mayora O
In Arxiv 
19-10-2015
Automatic Stress Detection in Working Environments from Smartphones' Accelerometer Data: A First Step
Garcia-Ceja E, Osmani V, Mayora O
In Arxiv 
14-10-2015
Mobile health systems for bipolar disorder: The relevance of non-functional requirements in MONARCA Project
Mayora O, Frost M, Arnrich B, Gravenhorst F, Grunerbl A, Puiatti A, Reichwaldt N
In E Health and Telemedicine Concepts Methodologies Tools and Applications 1395-1405.  
23-09-2015
Investigating correlation between verbal interactions and perceived stress
Ferdous R, Osmani V, Mayora O
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 
01-08-2015
Smartphones in Mental Health: Detecting Depressive and Manic Episodes
Osmani V
Ieee Pervasive Computing, Institute of Electrical and Electronics Engineers (Ieee) vol. 14 (3), 10-13.  
30-06-2015
Automatic Stress Detection in Working Environments From Smartphones Accelerometer Data: A First Step
Garcia-Ceja E, Osmani V
Ieee Journal of Biomedical and Health Informatics, Institute of Electrical and Electronics Engineers (Ieee) vol. 20 (4), 1053-1060.  
16-06-2015
Welcome message from the Editors
Kiourti A, Osmani V
Eai Endorsed Transactions On Pervasive Health and Technology, European Alliance For Innovation N.O. vol. 1 (1) 
18-05-2015
Smartphone App Usage as a Predictor of Perceived Stress Levels at Workplace
Ferdous R, Osmani V
Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare. 
01-05-2015
Stress Modelling Using Transfer Learning in Presence of Scarce Data
Hernandez-Leal P, Maxhuni A, Sucar LE, Osmani V, Morales EF
 
01-01-2015
From Ubiquitous Computing to Human Aware Networking: Exploiting the Know-how of Ubicomp Research for Improving Networked-User Experience
Mayora O, Osmani V
Proceedings of the 3rd International Conference on Context-Aware Systems and Applications. 
01-01-2015

2014

Correlation of Significant Places with Self-Reported State of Bipolar Disorder Patients
Sabatelli M, Osmani V, Mayora O, Lukowicz P
 
01-11-2014
Exploring the link between behaviour and health
Gravenhorst F, Osmani V, Arnrich B
Personal and Ubiquitous Computing, Springer Nature vol. 19 (2), 255-257.  
25-09-2014
Mobile phones as medical devices in mental disorder treatment: an overview
Gravenhorst F, Muaremi A, Bardram J, Grünerbl A, Frost M, Osmani V, Arnrich B
Personal and Ubiquitous Computing, Springer Nature vol. 19 (2), 335-353.  
21-09-2014
Mobile monitoring of formal and informal social interactions at workplace
Matic A, Mayora-Ibarra O
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication. 
13-09-2014
Smartphone-Based Recognition of States and State Changes in Bipolar Disorder Patients
Grnerbl A, Muaremi A, Osmani V, Bahle G, hler S, Trster G, Mayora O, Haring C
Ieee Journal of Biomedical and Health Informatics, Institute of Electrical and Electronics Engineers (Ieee) vol. 19 (1), 140-148.  
25-07-2014
Tell me your apps and I will tell you your mood
Alvarez-Lozano J, Osmani V, Mayora O, Frost M, Bardram J, Faurholt-Jepsen M
Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments. 
27-05-2014
Session details: Data modeling and information management for pervasive assistive environments
Osmani V
Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments. 
27-05-2014
Using smart phone mobility traces for the diagnosis of depressive and manic episodes in bipolar patients
Gruenerbl A, Osmani V, Bahle G, Carrasco JC, Oehler S, Mayora O
Proceedings of the 5th Augmented Human International Conference. 
07-03-2014
Detecting Walking in Synchrony Through Smartphone Accelerometer and Wi-Fi Traces
Garcia-Ceja E, Osmani V, Maxhuni A
Lecture Notes in Computer Science, Springer Nature vol. 8850, 33-46.  
01-01-2014
Correlation of significant places with self-reported state of bipolar disorder patients
Sabatelli M, Osmani V, Gruenerbl A, Lukowicz P
Proceedings of the 4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies". 
01-01-2014
Mobile Health Systems for Bipolar Disorder: The Relevance of Non-Functional Requirements in MONARCA Project
Mayora O, Frost M, Arnrich B, Gravenhorst F, Grunerbl A, Muaremi A, Osmani V
International Journal of Handheld Computing Research, Igi Global vol. 5 (1), 1-12.  
01-01-2014

2013

Virtual uniforms
Matic A, Maxhuni A, Osmani V
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication. 
08-09-2013
Preface
Czerwinski M, Mayora O, Lukowicz P, Campbell A
Proceedings of The 2013 7th International Conference On Pervasive Computing Technologies For Healthcare and Workshops Pervasiveh 
02-09-2013
Investigation of indoor localization with ambient FM radio stations
Popleteev A, Osmani V, Mayora O
In Arxiv 
06-08-2013
Trade-offs in monitoring social interactions
Matic A, Osmani V
Ieee Communications Magazine, Institute of Electrical and Electronics Engineers (Ieee) vol. 51 (7), 114-121.  
08-07-2013
An analysis of distance estimation to detect proximity in social interactions
Osmani V, Carreras I, Matic A
Journal of Ambient Intelligence and Humanized Computing, Springer Nature vol. 5 (3), 297-306.  
08-01-2013
Automatic Sensing of Speech Activity and Correlation with Mood Changes
Matic A, Osmani V
In Pervasive and Mobile Sensing and Computing For Healthcare, Springer Nature 195-205.  
01-01-2013
Monitoring activity of patients with bipolar disorder using smart phones
Osmani V, Maxhuni A, Grünerbl A, Lukowicz P, Haring C
Proceedings of International Conference on Advances in Mobile Computing & Multimedia - MoMM '13. 
01-01-2013

2012

Analysis of Social Interactions Through Mobile Phones
Matic A, Osmani V, Mayora-Ibarra O
Mobile Networks and Applications, Springer Nature vol. 17 (6), 808-819.  
16-08-2012
Multi-modal mobile sensing of social interactions
Matic A, Osmani V, Maxhuni A
Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare. 
13-07-2012
Sedentary work style and heart rate variability: A short term analysis
Matic A, Cipresso P, Osmani V, Serino S, Gaggioli A, Mayora O
 
13-06-2012
A pilot study of short-term effects of non-sedentary behaviour on mood changes
Matic A, Osmani V, Mayora-Ibarra O
 
13-06-2012
Comm2Sense: Detecting Proximity Through Smartphones
Carreras I, Matic A, Osmani V
2012 IEEE International Conference on Pervasive Computing and Communications Workshops. 
01-03-2012
Investigation of indoor localization with ambient FM radio stations
Popleteev A, Osmani V, Mayora O
2012 IEEE International Conference on Pervasive Computing and Communications. 
01-03-2012
Speech activity detection using accelerometer
Matic A, Mayora O
Annual International Conference of The Ieee Engineering in Medicine and Biology Society (Embc), Institute of Electrical and Electronics Engineers (Ieee) vol. 2012, 2112-2115.  
01-01-2012
Mobile Stress Treatment: The Interstress Approach
Osmani V, Popleteev A, Maimone R
Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare. 
01-01-2012
Monitoring Dressing Activity Failures through RFID and Video
Matic A, Mehta P, Rehg JM, Osmani V
Methods of Information in Medicine, Thieme vol. 51 (01), 45-54.  
01-01-2012
Indoor Positioning Using FM Radio
Papliatseyeu A, Osmani V, Mayora O
In Emergent Trends in Personal Mobile and Handheld Computing Technologies 199-211.  
01-01-2012

2011

Mental health and the impact of ubiquitous technologies
Arnrich B, Osmani V
Personal and Ubiquitous Computing, Springer Nature vol. 17 (2), 211-213.  
30-09-2011
RFID-Based System for Tracking People: Approaches to Tagging Demented Patients
Matic A, Osmani V
 
01-01-2011
Correlation between self-reported mood states and objectively measured social interactions at work: A pilot study
Maxhuni A, Osmani V, Ibarra OM
Proceedings of the 5th International ICST Conference on Pervasive Computing Technologies for Healthcare. 
01-01-2011
Indoor Localization Using Audio Features of FM Radio Signals
Popleteev A, Mayora O
 
01-01-2011
Smart Phone Sensing to Examine Effects of Social Interactions and Non-sedentary Work Time on Mood Changes
Matic A, Popleteev A, Mayora-Ibarra O
 
01-01-2011

2010

FM radio for indoor localization with spontaneous recalibration
Matic A, Popleteev A, Mayora-Ibarra O
 
01-12-2010
UbiHealth 2010
Arnrich B, Osmani V, Riva G
Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing - Adjunct. 
26-09-2010
Indoor Positioning Using FM Radio
Papliatseyeu A, Osmani V
International Journal of Handheld Computing Research, Igi Global vol. 1 (3), 19-31.  
01-07-2010
Tuning to Your Position: FM radio based Indoor Localization with Spontaneous Recalibration
Matic A, Papliatseyeu A, Osmani V
2010 IEEE International Conference on Pervasive Computing and Communications (PerCom). 
01-03-2010
AID-ME: Automatic Identification of Dressing failures through Monitoring of patients and activity Evaluation
Matic A, Mehta P, Rehg JM, Osmani V
Proceedings of the 4th International ICST Conference on Pervasive Computing Technologies for Healthcare. 
01-01-2010

2009

FINDR: Low-Cost Indoor Positioning Using FM Radio
Papliatseyeu A, Kotilainen N, Mayora O
 
01-01-2009
Technologies to Monitor Cognitive Decline
Matic A
Proceedings of the 3d International ICST Conference on Pervasive Computing Technologies for Healthcare. 
01-01-2009
Human activity recognition supporting context-appropriate reminders for elderly
Osmani V, Zhang D, Balasubramaniam S
Proceedings of the 3d International ICST Conference on Pervasive Computing Technologies for Healthcare. 
01-01-2009

2008

Human activity recognition in pervasive health-care: Supporting efficient remote collaboration
Osmani V, Balasubramaniam S, Botvich D
Journal of Network and Computer Applications, Elsevier vol. 31 (4), 628-655.  
01-11-2008

2007

A Bayesian Network and Rule-Base Approach Towards Activity Inference
Osmani V, Balasubramaniam S
2007 IEEE 66th Vehicular Technology Conference. 
01-09-2007
Self-organising object networks using context zones for distributed activity recognition
Osmani V, Botvich D
Proceedings of the Second International Conference on Body Area Networks BodyNets. 
01-01-2007

2006

A Distributed Hierarchical Structure for Object Networks Supporting Human Activity Recognition
Osmani V, Gu T
 
01-01-2006

2005

Context driven, user-centric access control for smart spaces
White M, Jennings B, Osmani V
 
19-12-2005
An architecture for user-centric management of intelligent environments
Osmani V, Barrett K, Carroll R
 
01-12-2005

Generative AI Mitigates Representation Bias and Improves Model Fairness Through Synthetic Health Data
Marchesi R, Micheletti N, Kuo NI-H, Barbieri S, Jurman G, Osmani V
In Medrxiv 
Vital signs as a source of racial bias
Velichkovska B, Gjoreski H, Denkovski D, Kalendar M, Mamandipoor B, Celi LA, Osmani V
In Medrxiv 
Investigating Presence of Ethnoracial Bias in Clinical Data using Machine Learning
Velichkovska B, Gjoreski H, Denkovski D, Kalendar M, Celi LA, Osmani V
In Medrxiv 
AI learns racial information from the values of vital signs
Velichkovska B, Gjoreski H, Denkovski D, Kalendar M, Mullan ID, Gichoya JW, Martinez N, Celi LA et al.
In Medrxiv 
Disease-Course Adapting Machine Learning Prognostication Models in Elderly Patients Critically Ill With COVID-19: Multicenter Cohort Study With External Validation (Preprint)
Jung C, Mamandipoor B, Fjølner J, Bruno RR, Wernly B, Artigas A, Bollen Pinto B, Schefold JC et al.
In Jmir Preprints 
Use of eHealth Platforms and Apps to Support Monitoring and Management of Home-Quarantined Patients With COVID-19 in the Province of Trento, Italy: App Development and Implementation (Preprint)
Gios L, Crema Falceri G, Micocci S, Patil L, Testa S, Sforzin S, Turra E, Conforti D et al.
In Jmir Preprints 
Information extraction from clinical notes: A systematic review for Chronic Diseases (Preprint)
Sheikhalishahi S, Miotto R, Dudley JT, Lavelli A, Rinaldi F, Osmani V
In Jmir Preprints 
Coherent Cross-modal Generation of Synthetic Biomedical Data to Advance Multimodal Precision Medicine
Marchesi R, Lazzaro N, Endrizzi W, Leonardi G, Pozzi M, Ragni F, Bovo S, Moroni M et al.
In Biorxiv 

Grants

solid heart iconGrants of specific relevance to Predictive in vitro Models
bullet iconInterpretable Multi-Scale Integration Framework for Biological Systems: A Mechanistic Approach
Venet Osmani
£136,489 Biotechnology and Biological Sciences Research Council
01-02-2026 - 31-01-2030

bullet iconSynthetic clinical data for underrepresented populations: a UK-France alliance
Matteo Fumagalli, Moneeza Kalhan Siddiqui and Venet Osmani
£9,500 Department for Science, Innovation and Technology 
Grant Summary

01-01-2025 - 31-03-2025