DHD Awards 2025
DHD Career Award 2025
Prof. Nikolaos Maglaveras
University of Thessalonik
His main Contribution to Science and Career achievements are:
1. Big biodata driven multi-level CDSS :
In this area he developed management and analytics solutions related to multisource data availability both from controlled environments (e.g. clinical informatics systems, wet-labs for high and low throughput biomolecular data, pharmacogenomics and RIS data related to drug driven clinical trials) as well as social media, telemonitoring data, mHealth applications, and AAL related data.
2. Smart connected health systems:
Prof. Maglaveras is one of the pioneers of Connected Health. He explored the integration of behavioral informatics and telemonitoring health systems. In relation with this particular area, he has been developing and consolidating PhD programs in the wider (bio)medical informatics area which has helped building the necessary skills to a new generation of smart connected health systems in relation with the precision medicine concept
3. Coordinated and integrated care:
One of the ‘killer’ problems for the health system is the management of multimorbid patients. This is normally the case in chronic disease patients who develop comorbidities causing a more complex problem for the management of the patients, as well as for the organizational issues arising in this case. Prof. Maglaveras has made fundamental contributions in smart Connected Health models for managing and empowering the patient/citizen, while contributing for new integrated care models to improve care of complex chronic COPD multi-morbid patients. Such integrated healthcare system incorporates feedback from multi-scale and multi-level predictive modelling through telemonitoring systems and can be used to manage and trigger interactions between the patient/citizen and the healthcare professionals enabling a co-decision space as is the case in this project.
4. Patient Safety Informatics & Human Factors Engineering:
Medication related problems in health care constitute one of the major problems in patient safety, health complications and economic burden for the healthcare expenditure. The prescription errors related with the use of CPOEs and electronic health records combined with human factors have a profound effect in patient safety in the hospital. Prof. Maglaveras team has made fundamental contributions under the PSIP EU project, which is applied at the capital region of Copenhagen (14 hospitals) and the North Pas de Calais region in France (hospitals in Lille, Denain and Rouen), has helped reduce the death rate by 20% in patients having INR problems.
5. In silico modeling of the physiological and biomolecular systems and organs:
In this area, modeling of propagating action potentials in cardiac and neuron, modeling of the biomechanics of the atherosclerotic process, modeling of deep brain structures for volumetrics, and the evolution of the mutations and mechanisms causing cancer development, are specific areas where Prof. Maglaveras research has concentrated over the years.
DHD Outstanding Contribution Award
Prof. Yuan Ting Zhang, University of Hong Kong
For his outstanding contribution to cardiovascular health informatics and unobtrusive sensing and wearable devices. In particular, for his fundamental contributions to unobtrusive sensing and wearable devices, particularly in the field of BP monitoring and management. Professor Zhang’s research interests include unobtrusive sensing, wearable devices, tonoarteriography/cBP, and neural physiological modeling. He was selected on the lists of China’s Most Cited Researchers in Biomedical Engineering by Elsevier, the top 2% researcher worldwide by Stanford University, and ranked No. 1 researcher in cuffless BP technology during the last 30 years from 1990 to 2020. He won several national and international awards including IEEE-EMBS best journal paper awards, IEEE-EMBS Outstanding Service Award, IEEE-SA 2014 Emerging Technology Award, IEEE-EMBS Chapter Award in Greece, Asia-Pacific E-Medicine Technology Grand Award in Australia, Earl Owen Lecture at SMIT-IBEC2018 in Korea, and most recently he won the 2023 IEEE EMBS William J. Morlock Award. Prof. Zhang is elected as IAMBE Fellow, IEEE Fellow, AIMBE Fellow and AAIA Fellow for his contributions to the development of wearable and m-Health technologies.
DHD Best Paper Award 2025
Niksa Jakovljevic
University of Novi Sad
Tatjana Loncar-Turukalo
University of Novi Sad
Hidden Markov Model Based Respiratory Sound Classification
This paper presents a method based on hidden Markov models in combination with Gaussian mixture models for classification of respiratory sounds into normal, wheeze and crackle classes. Input features are mel-frequency cepstral coefficients extracted in the range between 50 Hz and 2000 Hz in combination with their first derivatives. The audio files are preprocessed to remove noise using spectral subtraction. Our best score achieved in the official ICHBI Challenge second evaluation phase is 39.56.