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Event Chairs

BIOSTEC Conference Co-Chairs

Ana Fred
Instituto de Telecomunicações and Instituto Superior Técnico (University of Lisbon)

Brief Bio
Ana Fred received the M.S. and Ph.D. degrees in Electrical and Computer Engineering, in 1989 and 1994, respectively, both from Instituto Superior Técnico (IST), Technical University of Lisbon, Portugal. She is a Faculty Member of IST since 1986, where she has been a professor with the Department of Electrical and Computer Engineering, and more recently with the Department of Biomedical Engineering. She is a researcher at the Pattern and Image Analysis Group of the Instituto de Telecomunicações. Her main research areas are on pattern recognition, both structural and statistical approaches, with application to data mining, learning systems, behavioral biometrics, and biomedical applications. She has done pioneering work on clustering, namely on cluster ensemble approaches. Recent work on biosensors hardware (including BITalino – and ECG-based biometrics (Vitalidi project) have been object of several nacional and internacional awards, as well as wide dissemination on international media, constituting a success story of knowledge transfer from research to market. She has published over 160 papers in international refereed conferences, peer reviewed journals, and book chapters. ... More >>

Hugo Gamboa
LIBPhys, Physics Department, Nova School of Science and Technology, Nova University of Lisbon

Brief Bio
Hugo Gamboa is an Assistant Professor at the Physics Department of the Sciences and Technology Faculty of the Universidade Nova de Lisboa and member of LIBPHYS. PhD in Electrical and Computer Engineering from Instituto Superior Técnico, University of Lisbon. As a Senior Scientist at Fraunhofer Portugal coordinates the Lisbon Office research group with the focus on Intelligent Systems. He is a founder and President of PLUX, a technology-based innovative startup in the field wireless medical sensors, focused on microelectronics, biosignal processing and software development.


Program Co-Chairs

Hui Liu
Cognitive Systems Lab, Faculty 3 - Mathematics and Computer Science, University of Bremen

Brief Bio
Hui Liu is a post-doctoral researcher at the Cognitive Systems Lab (CSL), University of Bremen, focusing on biomedical engineering, biosignal processing, human activity recognition (HAR), rehabilitation assistance, machine learning (ML), robotics, virtual reality, and music information retrieval (MIR). Hui Liu developed the first mobile system that senses and recognizes its users' movements in real-time, utilizing proximity wearable sensors integrated into a knee bandage. He invented Motion Units, a human activity modeling method with interpretability, generalizability, and expandability, rationalizing knowledge from kinesiology and automatic speech recognition into HAR research (2021). In 2022, Hui Liu proposed novel variants of the pitch histogram, the merged pitch histogram and the pitch-duration histogram, and successfully applied them to ethnomusicology studies and singing aids. Currently, Hui Liu has two technology patents pending. ... More >>

Giovanni Saggio
Electronics, University of Tor Vergata, Rome

Brief Bio
Giovanni Saggio received the M.Sc. and the Ph.D. degrees in Electronic Engineering from the University of Tor Vergata, Rome, Italy, in, respectively, 1991 and 1997. Since 1997 he's an Assistant Professor at the Department of Electronic Engineering, University of Rome “Tor Vergata”. His research interests include analog electronics, sensors, biomedical engineering, wearable devices, human-machine interface, brain-computer interfaces.


Doctoral Consortium Co-Chairs

Seraina A. Dual
KTH Royal Institute of Technology

Brief Bio
Seraina A. Dual is an Assistant Professor in Biomedical Signal Processing at KTH Royal Institute of Technology in Sweden. Prior, she was a postodoctoral fellow at the departments of Radiology at Stanford Medicine and Mechanical Engineering at Stanford University, mentored by Prof. Doff McElHinney, Prof. Daniel Ennis, and Prof. Alison Marsden. She graduated with a Bachelor's/Master's and Doctoral degree from the Federal Institute of Technology Zurich (ETH Zurich) in Mechanical Engineering. Her work focuses on developing dynamic systems, algorithms, and sensors inspired by her background in engineering and control methodology to either improve our pathophysiological understanding of disease or enable physiological interaction of patients with intelligent medical devices. ... More >>

Algimantas Krisciukaitis
Physics, Mathematics and Biophysics, Lithuanian University of Health Sciences

Brief Bio
Algimantas Krisciukaitis receiveid is Dipl. Eng. Electronics in 1980, and his Phd. Biophysics in 1989. A PostDoc in University of Stuttgart, Germany (between 1993-1996). Currently he is Professor at Dept. Physics, Mathematics, Biophysics, ate the Lithuanian University of Health Sciences.

Katarina Trojachanec Dineva
Faculty of Computer Science and Engineering, Skopje
North Macedonia

Brief Bio
Katarina Trojacanec started her studies at the Faculty of Electrical Engineering and Information Technologies, University "Ss. Cyrill and Methodius" in Skopje, Macedonia in 2004 at the Department of Computer Science and Engineering. She graduated at the same Faculty on June 2008. She defended her master thesis titled "Content Based Image Retrieval System for Magnetic Resonance Images" at the same Faculty in May 2010 under supervision of prof. d-r Suzana Loskovska. During her education at the Faculty of Electrical Engineering and Information Technologies in Skopje, she was continuously awarded for her successful s tudying. As the best student in the generation she was awarded with an "Engineering ring" by the Engineering Institution of Macedonia and with "Gold Coin" by the University "Ss. Cyril and Methodius", Macedonia. She obtained her initial working experience at the Faculty for Computer Science, European University in Skopje in 2008. She started to work at the Faculty of Electrical Engineering and Information Technologies in October 2008. Her research is focused on medical imaging, image processing, content based image retrieval, data mining, machine learning, and software engineering. ... More >>