Prof. Muhammad Mahtab Alam

  • PRINCIPAL INVESTIGATOR (PI)
  • Affiliation: Tallinn University of Technology
  • Address: Ehitajate tee 5, Tallinn, Estonia
  • Email: muhammad.alam@taltech.ee

Muhammad Mahtab Alam received M.Sc. degree in electrical engineering from Aalborg University, Denmark, in 2007, and Ph.D. degree from the University of Rennes1 (INRIA Research Center) in 2013, He did his postdoc research in the Qatar Foundation funded project Critical and Rescue Operations using Wearable Wireless Sensor Networks from Qatar Mobility Innovations Center during 2014-2016. In 2016, he has been elected as European Research Area Chair holder in cognitive electronics project and Associate Professor in Thomas Johann Seebeck Department of Electronics, Tallinn University of Technology. In 2018, he has obtained tenure professorship to chair Telia Professorship under the cooperation framework between Telia and Tallinn University of Technology. He has authored and co-authored over 55 research publications. His research interests include self-organized and self-adaptive wireless sensor and body area networks specific to energy efficient communication protocols and accurate energy modeling, Internet-of-things, public safety and critical networks, embedded systems, digital signal processing, and software defined radio. He is a principal investigator of NATO-SPS-G5482 grant as well as Estonian Research Council PUT-Team Grant.

STAFF

Dr Alar Kuusik

  • Affiliation: Tallinn University of Technology
  • Address: Ehitajate tee 5, Tallinn, Estonia
  • Email:  alar.kuusik@taltech.ee

Alar Kuusik received the Ph.D. degree in IT from the Tallinn University of Technology, Estonia, in 2001. He is currently a Senior Researcher with the Thomas Johann Seebeck Department of Electronics, Tallinn University of Technology. He has been participating in several international applied research projects and collaboration programs in Germany, Japan, Sweden, and USA. His recent research interests are related to IoT sensing and connectivity technologies and applications.

Prof. Yannick Le Moullec

Yannick Le Moullec received the MSc (EE) degree from Université de Rennes I (France) in 1999 and the PhD (EE) degree from Université de Bretagne Sud (France) in 2003. From 2003 to 2013 he successively held postdoc, assistant, and associate professor positions at Aalborg University (Denmark). He then joined TalTech, where he first was a senior researcher (2013 to 2016) and is now a professor. He has supervised 9 PhD theses and 50+ MSc theses; he is currently supervising 5 PhD theses and 5 MSc theses. He is Co-PI for the H2020 COEL ERA-Chair project. His research interests span HW/SW co-design, embedded systems, reconfigurable systems, and IoT.

Dr Katrin Gross-Paju (MD)

RESEARCH STAFF

Rida Khan

Rida Khan (PhD thesis: System Level Optimizations in Wearable Wireless Networks) has developed use-case requirements of the specific applications; this work has been published in Bodynet’2019 conference with paper title – SmartBAN Performance Evaluation for Diverse Applications, “ETIS 3.1”.It is important to note that the work has also been extended to the ETSI SmartBAN standard development for the work item:DTR/SmartBAN-0014, “Applying SmartBAN MAC (TS 103 325) for various use cases”. PI is “Rapporteur” of this workitem. Another publication was published in IEEE Access Journal with title – Throughput and Channel Aware MAC Scheduling for SmartBAN Standard, “ETIS 1.1”.

Triin Kask

Triin Kask (PhD Thesis Clinical Assistive Technology for Patients with Neurodegenerative Disease), has developed a mobile application and algorithm for analyzing the human gait patterns. One conference paper with title – Effects of Physical Exercise on Balange, Range of Motion (ROM) and Angular Velocity (AV) Measurements has been presented in XXIV World Congress of Neurology. Experiments were conducted by project team members with their consent. Heigo (Physiotherapist from Tallinn West Central Hospital) has been also hired for the joint work.

Abdul Saboor

Abdul Saboor (PhD Thesis: Closed-loop Communication System to Support Highly Responsive Neuromuscular Assistive Stimulation) is preparing state of the art on gait analysis and various methods that could be used in the project.

HOSPITAL STAFF

Heigo Maamägi