Sponsors:

NSF

EMBS

IEEE

University of Houston

Columbia University

IEEE Brain

IEEE Life Sciences

Technical University of Crete

Past Editions:

Biocomplexity 2022

Biocomplexity 2019Biocomplexity 2018

Biocomplexity 2017Biocomplexity 2016

Biocomplexity 2015Biocomplexity 2014

Biocomplexity 2013Biocomplexity 2012

Biocomplexity 2011Biocomplexity 2010

Biocomplexity 2009Biocomplexity 2009

Biocomplexity 2007Biocomplexity 2005

Biocomplexity 2004Biocomplexity 2003

Biocomplexity 2002Biocomplexity 2001

 

Participants

Evangelia Antoniadi

Evangelia Antoniadi

Evangelia Antoniadi will receive her Diploma (Integrated Master) in July from the Department of Production Engineering and Management, Technical University of Crete, with a thesis based on Curves by Equations in Computer Aided Design Systems in order to be integrated into production systems. She also attended a Summer School in Industry 4.0 in Centrale Supélec (Paris, France, 2019) and did a 3 months internship with the ERASMUS+ programme in Tungaloy Iberica, S.L (Manresa, Spain, 2022). At the same time, she attended classes in “Computer Numerical Control and CNC Prepare” at Centre de Formació Pràctica. Her interests include bioengineering and especially biomechanics.
 
Vamshi Balanaga

Vamshi Balanaga

Vamshi Balanaga received his B.A. in Physics from UC Berkeley in May 2023 and will start a Ph.D. in EE at Stanford in the fall of 23. His research interests include neuromorphic computing (algorithms and novel hardware) and potential solutions to climate change. His undergraduate thesis was on the design and fabrication of neuromorphic spintronic gates in antiferromagnetic insulators. His research experiences span a broad range of fields from complexity theory and agent-based social science simulations to exploring superconductivity in graphene and plasma physics simulations. He likes to spend time outdoors and is a huge fan of climbing, hiking, surfing, and white-water kayaking.
 
Thodoris Balougias

Thodoris Balougias

Thodoris Balougias is a master's student in Translational Engineering in Health and Medicine at the National Technical University of Athens (NTUA) with great interest in AI and engineering methods applied in Biology and Neuroscience. Mechanical Engineer graduate NTUA. Diploma thesis on anti-aging drug prioritization deploying computational tools and deep learning models. Currently working as a research engineer at EVO human performance, a deep-tech bioengineering company which focuses on personalized sports performance enhancement and muscle injuries prevention.
 
Nicole Caballero Canchanya

Nicole Caballero Canchanya

Nicole Caballero Canchanya is a senior student of Biomedical Engineering at the Universidad Nacional Mayor de San Marcos (UNMSM), Lima, Peru. She won first place in Innovation Think Tank Siemens Healthineers Certification Program at Western University, Ontario, in 2021. In 2022, she won the ELAP scholarship promoted by the Government of Canada to study an exchange semester during winter 2023 at Memorial University of Newfoundland and Labrador. She has been a member and a volunteer in IEEE and EMBS since 2021, served as president of the EMBS UNMSM Student Chapter, president of the IEEE UNMSM Student Branch. She is currently the EMBS Adcom Student Representative and chair of the EMBS Student Activities Committee. Her areas of interest are rehabilitation engineering, innovation and data science. In her free time, she enjoys playing table tennis.
 
Rui Cui

Rui Cui

Rui Cui is currently a first-year PhD candidate in Fudan University, Shanghai, China. As a PhD student in the field of medical electronics and data processing, his research focuses on the development of capacity ECG technology and its applications in long term health monitoring and clinical settings based on machine learning, deep learning and edge computing technology. The novel system has the potential to revolutionize the way we diagnose and manage cardiovascular disease and sleep disease, offering a non-invasive, cost-effective, and highly accurate alternative to traditional ECG systems.
 
Ria Dawar

Ria Dawar

Ria Dawar is a senior at the University of Pennsylvania studying Bioengineering. While at Penn, she explored several projects that applied machine learning to medicine. These projects included using machine learning to detect apnea of prematurity in neonatal infants and using computer vision to track cells in a microfluidic channel. She is also involved in Systems Biology Research at the Radhakrishnan Lab at Penn where she aims to quantify how the SARS-CoV-2 virus interacts with the immune system. Outside of the classroom, she enjoys playing chess.
 
Andrew Friberg

Andrew Friberg

Andrew Friberg grew up in western China watching his dad build hydropower plants, trail bridges, and other community development projects in and near the Himalayan mountains. He majored in Physics and Computer Science at Brown University before starting a PhD program at the University of Pennsylvania, where he currently studies Medical Physics. His research aims to elucidate the mechanisms underlying FLASH radiation therapy, and to ensure accurate patient delivery. He loves hiking, running, frisbee, and soccer.
 
Leonie Hirsch

Leonie Hirsch

Leonie Hirsch is currently studying at the Albert-Ludwigs-University of Freiburg, Germany in the Bachelor of Science program: "Sport Science - Movement Science and Health" at the Institute of Sport and Sport Science. Her broad interests are in the area of complex human movement and the neuroscience behind it. In the group of Prof. Natalie Mrachacz-Kersting she works on several projects in collaboration with Paralympic athletes, focusing on motor control in different athletic movements. After completing her bachelor's degree, she would like to focus on the improvement and technical implementation of prostheses in a medical context.
 
Ennio Idrobo-Avila, Ph.D.

Ennio Idrobo-Avila, Ph.D.

Ennio Idrobo-Avila, Ph.D. was born in Popayán, Colombia, he has since childhood displayed a strong interest in music. He completed a BSc in Engineering Physics and a PhD in Engineering, majoring in digital signal/image processing and AI. His parallel interest in such areas as Music Therapy, Physiology, Cardiology, Cognitive Neuroscience, and Experimental Psychology led him to focus attention on the effect that musical elements might have on the behaviour of the heart. His doctoral thesis was provided with an award (laureate); meanwhile, the main outcomes of that research were presented at international events and published in several high-impact journals. Currently, he is a postdoc researcher in the group of Biosignal Processing, at University Medical Center Göttingen, Germany.
 
Andres Jaramillo-Gonzalez, Ph.D.

Andres Jaramillo-Gonzalez, Ph.D.

Andres Jaramillo-Gonzalez, Ph.D. did studies in Mechatronics, Cognitive Sciences and Neurophysiology in Mexico, and graduated with PhD degree in Neuroscience at the University of Tübingen, in Germany, in 2022. His early research was focused on the neurophysiology and signal processing for both, invasive and non-invasive Brain-Computer Interfaces, with later contributions during his doctoral research allowing communication in Locked-in and Complete Locked-in patients. He commenced his postdoctoral research under the supervision of Professor Natalie Mrachachz-Kersing at the University of Freiburg, with current focus on the physiology of motor control and neurorehabilitation.
 
Kimani Kanyutu

Kimani Kanyutu

Kimani Kanyutu is a student from Kenyatta University, Nairobi, Kenya pursuing a bachelors degree in Biomedical engineering. He is a volunteer with the EMBS Students Activities Committee (SAC) as a Junior Administrator and also the immediate past chair IEEE EMBS Kenyatta University Students Branch. His career objective is to work towards the improvement of healthcare through advancement in science and technology. His interest is in the areas of data science, machine learning and artificial intelligence and their application in the healthcare field. He is excited about the prospect of using his skills and knowledge to drive innovation in the biomedical engineering field. He is particularly interested in the fields of computer vision and deep learning and he believes that these technologies can revolutionize medical imaging and diagnosis. Ultimately his goal is to become a leading researcher and innovator in the field of biomedical engineering and to contribute to the development of solutions that improve the quality of life for people in his community and beyond.
 
Efterpi K Karapintzou

Efterpi K Karapintzou

Efterpi K Karapintzou is cooperating with the Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, Ioannina, Greece. She received the Diploma, 5-year degree, from the Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece, in 2022. She implemented a diploma thesis on the subject ‘Computational modeling of coronary arteries using CTCA and prediction of atherosclerotic disease progression’ and grade 10(excellent). She is also a Ph.D. candidate on the subject ‘Development of computational models using wearable devices to measure patient’s condition’ in the Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece.
 
Daphne Katsarou

Daphne Katsarou

Daphne Katsarou received the Diploma (5-year degree) in Materials Science and Engineering from the Department of Materials Science and Engineering, University of Ioannina, Ioannina, Greece, in 2018. After graduating, she started collaborating with the Unit of Medical Technology and Intelligent Information Systems as a Research Assistant in November 2019. She is also pursuing her Ph.D. degree in the Department of Biological Applications and Technology of the University of Ioannina, Greece, under the supervision of Prof. Costas Papaloukas. Her research interests lie in the fields of biomedical engineering and machine learning, data science and genetics. Recently, her attention has been directed towards multivariate time series forecasting, utilizing data from different data sources.
 
 Pulkit Khandelwal

Pulkit Khandelwal

Pulkit Khandelwal is a fourth year PhD candidate in the department of Bioengineering at the University of Pennsylvania under the supervision of Prof. Paul Yushkevich. Previously, he worked as a research intern at Google and Amazon. His research interests lie in medical image analysis developing methods for image segmentation and registration problems to aid image-guided surgery and develop biomarkers for neurodegenerative diseases. In particular, his current research focuses on developing quantitative methods for high-resolution postmortem 7 Tesla ex vivo MRI to study structure-pathology correlations in Alzheimer’s disease. He has also developed deep learning-based segmentation methods leveraging meta-learning, domain generalization, and few-shot learning. He is currently developing a deep learning method for diffeomorphic deformable 3D image registration method to register ex vivo and in vivo MRI via generative modeling networks within a contrastive learning framework. He is also interested in network neuroscience, computational anatomy, and shape analysis. Earlier, he completed his masters in computer science at McGill University under the supervision of Prof. Kaleem Siddiqi and Prof. Louis Collins, where he worked on spine segmentation in CT images using geometric flows using level sets and shape priors. Pulkit is an active reviewer for IEEE Transactions on Biomedical Engineering, Medical Image Analysis, MICCAI, MIDL and NeurIPS, and thoroughly enjoys teaching. In his spare time, he loves to bind books, explore rare books and manuscripts, and nerd out on coffee.
 
 Fatemeh Khorami

Fatemeh Khorami

Fatemeh Khorami is a Ph.D. candidate in the Mechatronics Systems Engineering program with a background in Biomedical Engineering, at Simon Fraser University in Canada. Her research focuses on understanding sex differences in soft tissue mechanical properties and how they relate to fall prevention strategies. Fatemeh uses a combination of experimental and computational methods to investigate the mechanical behavior of soft tissues in response to loading and deformation. Her work seeks to improve our understanding of the role that sex differences play in the risk of falls and injuries, particularly among older adults. In addition to doing her research, Fatemeh enjoys traveling and reading books and she is a huge fan of fantasy novels
 
 Youngbin Kim

Youngbin Kim

Youngbin Kim is a PhD student at Columbia University in the Laboratory of Stem Cells and Tissue Engineering led by Dr. Gordana Vunjak-Novakovic. His research focuses on applying computational methods to characterize cardiac function in videos of in vitro models of disease and drug response. Before he began his PhD training, he earned his bachelor’s degree at the University of California, Berkeley in 2019 in Bioengineering with a minor in Electrical Engineering and Computer Science. His current work applies signal processing and deep learning methods to gain a deeper understanding in tissue-engineered models. His broader interests include using deep learning and data science methods in the context of biomedicine to advance understanding of biology and improve patient outcomes.
 
Zuzanna Lazorko

Zuzanna Lazorko

Zuzanna Lazorko is a second-year Biomedical Engineering student at the Silesian University of Technology, where she will finish her B.Sc. degree with a specialty in Information Systems in Medicine. She is a member of "BioSoft" and IEEE student Clubs at her Faculty. The areas of her research interests are: medical imaging techniques, medical images analysis, biomedical signal acquisition & processing, numerical methods. During 3rd semester of her studies, she participated in the PBL project about "The use of machine learning techniques to create a classification and software for an application that evaluates differences in attention deficit states based on the EOG and ALCOGOGLI signal during the simulation of driving a motor vehicle", where she was involved in data acquisition, data processing, machine learning in MatLab and results analysis. In the future she plans to work in field of the medical images and signals processing area.
 
Minghui Liu

Minghui Liu

Minghui Liu received her M.S. degree in Electronic and Communication Engineering from Shanghai Jiao Tong University, China in 2020. She is currently working toward her Ph.D. degree at Center of Intelligent Medical Electronic (CIME), Fudan University, China. Her research focuses on exploring the relationship between sleep disorder OSA and macro-phenotype (such as EEG, ECG, voice, body appearance, etc.) or micro-phenotypes (such as microbiome, metabolomics, etc.), and identifying potential biomarkers by advanced machine learning or deep learning method for precision medicine and sleep intervention. The innovation of this project lies in its holistic approach to the study of OSA, considering not only the traditional clinical measures of OSA severity but also the complex interplay between the microbiome and metabolomics, etc.
 
Alisha Menon

Alisha Menon

Alisha Menon graduated from her Ph.D. in Electrical Engineering & Computer Science from UC Berkeley, advised by Professor Jan Rabaey, in December 2022. She is the recipient of the NSF Graduate Research Fellowship, UC Berkeley Fellowship, FURI Research Scholarship at Arizona State University, and University of Washington Research Experience for Undergraduates (REU). Awards include UC Berkeley EECS Excellence Award, UC Berkeley Outstanding Graduate Mentor Award, & Rising Star in EECS 2022. Her research focused on biosignal acquisition, processing and recognition shown with an EMG-based neural prosthetic with shared control. She is currently working on a startup effort to apply innovations in this biomedical sensor field to the deeply under-addressed women's health space. She is specifically focused on maternal & fetal health monitoring during pregnancy, where standards of care and patient outcomes have not improved in decades, with the aim to bring maternal care into the 21st century and alleviate the ongoing global maternal health crisis.
 
Micky Nnamdi

Micky Nnamdi

Micky Nnamdi is a Ph.D. student associated with the Bio-Medical Informatics and Bio-Imaging Laboratory (Bio-MIBLab) at Georgia Institute of Technology. Before his Ph.D., He earned his Bachelor‘s Degree from the Air Force Institute of Technology, Nigeria. His research interests include bioinformatics, machine learning, and signal & image analysis with broad applications to clinical decision support, focusing on healthcare improvement. His primary goal is to create novel intersections between deep learning, engineering, and medicine to discover novel biological and clinical knowledge to diagnose infectious diseases and improve classification trustworthiness.
 
Ourania Ntousi

Ourania Ntousi

Ourania Ntousi received her Diploma from the Department of Materials Science Engineering, University of Ioannina, Greece, in 2021, with a thesis based on the Prediction of atherosclerotic disease progression with the use of computational modeling in patients with non-invasive imaging of the arteries (CTCA). She is currently a Ph.D. student at the Department of Biological Applications and Technology - University of Ioannina, Ioannina, Greece. She is also collaborating with the Unit of Medical Technology and Intelligent Systems, University of Ioannina, Ioannina, Greece. Her research field focuses on biomedical engineering, computational modeling and other methods associated with bone regeneration through matrices known as scaffolds.
 
Marta Piwko

Marta Piwko

Marta Piwko graduated with her engineer degree in Computer Science and Medical Equipment. Currently a Master's degree student specializing in Biomedical Information Processing and Analysis at the Faculty of Biomedical Engineering in Zabrze, Silesian University of Technology. Her bachelor project concerned the use of convolutional neural networks in the automatic detection and segmentation of cancerous lesions on ultrasound images of the breast. She has been the mayor of the year for 4 years and is also an active activist of the Faculty’s Local Government. She is interested in data science, pathomorphology, artificial intelligence and its applications in modern medicine, as well as imaging and diagnostic imaging technologies - she is constantly deepening his knowledge in this field. The subject of her master thesis is the comparison of cell nuclei architecture in different types and subtypes of pulmonary adenocarcinoma, using features of the nucleus shape and texture of chromatin. She devotes her free time to reading interesting articles, as well as books on human psychology. She also enjoys physical activity, sports - especially handball and rollerblading. In the future, she plans to do doctoral studies, continuing to focus on artificial intelligence and its use in modern medicine. She has always had a passion for teaching others and passing on her knowledge to others, which decided to tie her further future with the university.
 
Jocelyn A. Ricard

Jocelyn A. Ricard

Jocelyn A. Ricard is originally from Minneapolis, MN and graduated from the University of Minnesota, Twin Cities with a Bachelors in neuroscience. Jocelyn has conducted research across various institutions, including at the International Sustainable Development Studies Institute in Chiang Mai, Thailand; the University of Minnesota; the German Center for Neurodegenerative Diseases in Berlin, Germany; Cornell University; and, most recently, as a research assistant at Yale University. Jocelyn is interested in studying how structural disadvantage and substance use disorders comorbidly affect brain function. Jocelyn will begin her PhD in neuroscience in the fall of 2023.
 
Jennifer Ruffing

Jennifer Ruffing

Jennifer Ruffing received her B.S. in Bioengineering with a concentration in medical devices from UC Berkeley in May 2023. She plans on applying for Ph.D. programs in the future with the intent to study reproductive endocrinology specifically regarding polycystic ovarian syndrome (PCOS). Her current research focuses on transradial prosthetic development with user-intent and has experience working in prosthetic clinics. In her free time, she enjoys going to the beach, finding new coffee shops, and exploring running trails.
 
Khrystyna Semkiv

Khrystyna Semkiv

Khrystyna Semkiv earned her bachelor's degree in Electrical Engineering from the National Technical University of Ukraine ‘Kyiv Polytechnic Institute’ (KPI) in 2020. Currently, she is pursuing a Master's degree in Communication and Information Technologies at Ulm University while also working at the Biomedical Engineering Department at the same university. Her current project involves discovering digital biomarkers for Parkinson's Disease using mobile phone sensors. To achieve this, she is applying signal processing and machine learning algorithms to identify distinct features of the pathology and explore the effects of levodopa medication, commonly used to treat Parkinson's. Khrystyna is also concurrently continuing her Master's studies at KPI while serving as chair of the KPI Student Branch since February 2023. Outside of her academic and professional pursuits, Khrystyna enjoys spending her free time swimming, hiking, playing music, and dancing.
 
Michael Sommeling

Michael Sommeling

Michael Sommeling is a BS/MS in computer engineering student at Villanova University. He researches wearable biomedical sensors—especially functional Near-Infrared Spectroscopy (fNIRS)—at the Optical Brain Imaging Laboratory. Additionally, he has collaborated with Villanova’s Transportation Engineering Laboratory, he spent a summer at Stanford University while interning at SLAC National Laboratory, and he will spend the upcoming summer at the NIH in the Section on Biomedical Optics. Fueled by a fervent passion for biomedical engineering, he recently founded the Villanova University Engineering in Medicine & Biology student club. Next year, Michael will head to Naples, Italy to conduct research at the Augmented Reality for Health Monitoring Laboratory of the University of Naples Federico II through a Fulbright fellowship.
 
Ben Tamo

Ben Tamo

Ben Tamo is a Ph.D. student at Georgia Institute of Technology transitioning from about 4 years of engineering practice with experience in various domains such as speech, image processing, generative, and predictive models. Ben is currently affiliated with the Bio-Medical Informatics and Bio-Imaging Laboratory (Bio-MIBLab) at Georgia Tech. His research interests are in applying machine learning and artificial intelligence to advance precision, predictive, and personalized medicine. He is also exploring explainable AI and causal inference to identify causal relationships between various patient variables and outcomes and provide interpretable and actionable recommendations to clinicians.
 
Stavroula Tassi

Stavroula Tassi

Stavroula Tassi received the Diploma (5-year degree) from the Department of Electrical Engineering and Computer Technology, University of Patras, Patras, Greece, in 2019. She is currently working toward the Ph.D. degree with the Department of Mechanical Engineering and Aeronautics, University of Patras, Patras, Greece. She is also collaborating with the Unit of Medical Technology and Intelligent Systems, University of Ioannina, Ioannina, Greece. Her research interests include, machine learning, network science, biomedical engineering, and data science. Lately, she focuses on synergistic interactions in high-dimentional data, and in the analysis of hypergraphs.
 
Alexandra Tsipourakis

Alexandra Tsipourakis

Alexandra Tsipourakis is a fifth-year (5-year degree) Undergraduate Electrical and Computer Engineering (ECE) student at the Technical University of Crete. After exploring various interesting fields through the vast variety of ECE courses, she found herself profoundly fascinated by the field of biomedical engineering. After that, she began focusing her course projects on bioengineering related topics, whenever possible, while still expanding her knowledge on programming languages, hardware and energy field studies too. This year, she is actively working on her thesis focusing on analysis of EEG in epilepsy after transcranial brain stimulation, using connectivity models and machine learning methods. Her bioengineering related projects so far mainly consist of neural network implementation projects; A simple voice recognition project and one more project focusing on the presentation of neural networks in AI and quantum computing. Her interest in bioengineering mostly comes from the extraordinary impact that its findings can have in improving people’s quality of life, as one of her future goals is to help others through her work as much as possible.
 
Madison Wilson

Madison Wilson

Madison Wilson graduated from the University of Illinois at Urbana-Champaign with bachelor’s degrees in both electrical engineering and psychology. She couldn’t decide which she liked more – engineering or neuroscience – but knew she liked sunshine better than snow, so joined Dr. Duygu Kuzum’s Neuroelectronics Lab at University of California San Diego in 2019. With a passion in developing technologies to better understand brain development and dysfunction, her thesis focus is to design 3D neural interfaces for brain and cortical organoid applications. She is an NSF Graduate Research Fellow and proud president of the Electrical and Computer Engineering Graduate Student Council at UC San Diego, through which she enjoys planning social, professional, and outreach events for her peers.
 
Joey Wu

Joey Wu

Joey Wu is a scientist in the Vagelos Integrated Program in Energy Research (VIPER) studying bioengineering and environmental science at the University of Pennsylvania. As a former researcher at the Penn Poethig Plant Transformation Laboratory, he developed genetically modified super-plants to support biofuel propagation. Currently a researcher at the Sales PFAS Plasma Lab at Drexel University, he is pursuing a project with the Penn Water Center, Philadelphia Water Department, and Clinton Global Institute to treat PFAS in drinking water and spread awareness of water pollutants. Joey is an active climate activist, organizing events for Save the Meadows movements, working with the Philadelphia Orchard Project, acting as a Penn Climate Speaker, a writer for Penn Climate Ventures, and a representative presenter for the VIPER Program.