Biomechanics, biomedical engineering and physics of complex systems

Biomechanics, Biomedical Engineering, and Physics of Complex Systems Group research broadly encompasses the area of physiological, biological and physical complex systems studies, done by utilization of advanced methods and techniques of data pre-processing, analysis and modelling, including the usage of methods of modern statistical physics, AI and machine learning (ML). The focus of our studies is on the use of data sciences in various areas of research and/or on various complex systems.

During the last five years these specifically included:

  • ­analyses of effects of climate change on public and One health and studies of avenues for health and socio-economic adaptation to climate changes;
  • ­use of ML and AI for risk assessments and development of early warning systems;
  • ­studies of biomechanical relations in human locomotion by way of analyses of movements of various levels of complexity, to predict mechanical capacities of muscles and
  • ­researches of human gait and movement disorders in groups of patients with neurodegenerative diseases and disorders.

Activity and Services

Time and spatial (including geophysical) data analysis and modelling. Projections and forecasting, including with climate change. Use of ML in various sectors.

 

Key words

  • Data Science
  • Machine Learning
  • Biomechanics
  • Climate and OneHealth
  • Complex Systems

Expertise

Data analysis and modelling, using methodologies of conventional statistics and advanced statistical approaches such as the analysis of scaling and wavelet transform analysis. Mathematical and numerical time series modelling and projections.

Use of ML and AI for interdependency analysis and modelling.

Data acquisition in neurology and biomechanics.

Head of the Research Group

Senior research associate

Suzana Blesic

Senior research associate

Suzana Blesic

I am a statistical physicist and a data scientist and am working mostly on the time series analyses of records from various complex systems. I worked on the analyses and modelling of neuronal code information, the way nerve cells communicate within (any) nervous system, using constant electrical activity. This was at the beginning of my career. After I finished my PhD in neurophysics I switched my interest to other behavioural problems of other complex systems, to try and sharpen the mathematical and numerical tools I was using and gain a different perspective on the problem of understanding the data resulting from almost limitless influences from different (mostly temporal) scales. I am currently working with records from climate systems and am particularly interested in climate and environmental drivers of various socio-economic, including health outcomes. My goal is to try and grasp as much universal characteristics of these systems as I can, so that afterward I might be able to see and understand the features of any of these systems that were not seen and/or explained before.

Email:suzana@imi.bg.ac.rs

Group Members

Senior research associate

Suzana Blesic
Principal research fellow

Sladjan Milanović
Research assistant

Iva Radić

Senior research associate

Suzana Blesic

I am a statistical physicist and a data scientist and am working mostly on the time series analyses of records from various complex systems. I worked on the analyses and modelling of neuronal code information, the way nerve cells communicate within (any) nervous system, using constant electrical activity. This was at the beginning of my career. After I finished my PhD in neurophysics I switched my interest to other behavioural problems of other complex systems, to try and sharpen the mathematical and numerical tools I was using and gain a different perspective on the problem of understanding the data resulting from almost limitless influences from different (mostly temporal) scales. I am currently working with records from climate systems and am particularly interested in climate and environmental drivers of various socio-economic, including health outcomes. My goal is to try and grasp as much universal characteristics of these systems as I can, so that afterward I might be able to see and understand the features of any of these systems that were not seen and/or explained before.

Email:suzana@imi.bg.ac.rs

Principal research fellow

Sladjan Milanović

Sladjan Milanovic has a Ph.D. degree in biomedical engineering (motor control) from the University of Belgrade. He was Head of Department for Biomedical Engineering and Biophysics of Institute for medical Research (2007-2022). He is a principal research fellow and an experienced researcher with over 50 published papers and over 25 years of experience in neurophysiological research, motor control and motor learning. He is focused on non-invasive modulation of cortical excitability and plasticity of brain in healthy participants and patients with motor disorders with the aim of developing methods for assessing the role of muscle and neural factors and their adaptive changes in human locomotion. He carried out continuously upgrading skills (participation in doctoral studies at FSFV and the Faculty of Biology) and improving the quality of the research by introducing and adopting new methods of Acquisition and Analysis of electrophysiological signals. He is using advanced statistical methods and ML/AI to bring disciplines together to solve problems at their intersection.

Email:sladjan.milanovic@imi.bg.ac.rs

Research assistant

Iva Radić

Iva Radic is a research assistant in the Group for Biomechanics, biomedical engineering and physics of complex systems. She is working on her PhD at the Faculty of Sports and Physical Education of the University of Belgarde. Until now, she has been studying the application of methods taken from modern statistical physics and the physics of complex systems for biomechanical data processing and application in biomechanics. While in her work at the Faculty of Sports and Physical Education of the UB she develops her knowledge and skills in the field of acquisition (recording) and processing data on muscle activity from various force sensors. She is learning and using the detrended fluctuation analysis (DFA) and the local and global wavelet transform spectral analysis (WTS) to examine long-range temporal characteristics of force platform data depending on the task or history of injury.

 

2023-2027   PLANET4HEALTH – Translating Science into Policy: A Multisectoral Approach to Adaptation and Mitigation of Adverse Effects of Vector-Borne Diseases, Environmental Pollution and Climate Change on Planetary Health. Horizon Europe project no. 101136652.

2022-2025   CLIMOS – Climate monitoring and decision support framework for sand fly-borne diseases detection and mitigation with cost-benefit and climate-policy measures. Horizon Europe project no. 101057690 and UKRI (UK Research and Innovation) project no. 10038150.

2021 –   State of Data Science for Health in Africa. Financed by the U.S. National Institutes of Health (NIH), African Institute for Mathematical Sciences (AIMS), Bill & Melinda Gates Foundation, Millennium Challenge Corporation (MCC) / President’s Emergency Plan for AIDS Relief (PEPFAR, U.S. Department of State), Science for Africa Foundation, Rockefeller Foundation, U.K. Foreign, Commonwealth and Development Office (FCDO), U.S. Agency for International Development (USAID).

  Erasmus+ project Еcare4PD – Exchanging good practices in e-health care for adults with Parkinson’s and their family caregivers in Europe.

2018 – 2023   DAMOCLES – Understanding and modeling compound climate and weather events. COST Action no. CA17109.

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