Sponsors:

NSF

EMBS

IEEE

University of Houston

Columbia University

IEEE Brain

IEEE Life Sciences

Technical University of Crete

Past Editions:

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

Ran An

Ran An, PhD

Dr. Ran An holds BS degree in Electrical Engineering from Beijing University of Chemical Technology, and PhD degree in Chemical Engineering from Michigan Technological University. After receiving his PhD, Dr. An has worked as Research Engineer in ApoCell, Inc and LI-COR Biosciences, Inc. He is currently a Senior Research Associate with Dr. Umut Gurkan in Department of Mechanical and Aerospace Engineering at Case Western Reserve University. Dr. An has authored more than 20 peer-reviewed articles and 10 patents some of which have been licensed and commercialized by leading biotechnology companies with product in global market. Dr. An has received multiple research and training grants as the principle investigator or project director from organizations including the National Heart, Lung, and Blood Institute, National Institute of Diabetes and Digestive and Kidney Diseases, Center for Advancing Point of Care Technologies, and Air Force. Dr. An has won the NIH Technology Accelerator Challenge Award for Global Disease Diagnostics, NIH T32 Postdoc Fellowship Award, CAPCaT Point-of-Care Technology Development Award, Thrombosis & Hemostasis Summit of North America Young Investigator Travel Award, Cardiovascular Research Institute Retreat Poster Presentation Award, and American Electrophoresis Society Annual Meeting Poster Award.
 
Martyna Borak

Martyna Borak

Martyna Borak is a second-year Biomedical Engineering student at the Silesian University of Technology, where she will complete her B.Sc. degree with a specialty in Computer Science and Medical Equipment. She is a member of the “Biosoft” academic club. She represented Poland in IBO Challenge 2020 (a substitute for the 31st International Biology Olympiad Nagasaki, Japan), winning a bronze medal. She is fascinated by biomedical engineering, which allows her to meet biology with engineering. The areas Martyna is mainly interested in are medical imaging, artificial intelligence, programming, big data and signal processing. As a part of the mentorship program at SUT, she is working on AI applications in dermatology with her mentor. After graduation, Martyna plans to continue focusing on data science, especially in medical applications. She has always felt a passion for teaching, which she currently fulfills by working at medical and programming youth summer camps. She would like to become an educator in the future.
 
Yuyan Cai

Yuyan Cai

Yuyan Cai is from Nanjing, China. She is a fourth-year biomedical engineering student studying at Georgia Institute of Technology. She is interested in health informatics and eager to learn more computational model to be applied solving biomedical problems!
 
Andre Cakici

Andre Cakici

Andre Cakici is an M.Sc. student at the Department of Medical Engineering, Friedrich-Alexander Universitat Erlangen-Nurnberg. He received his B.Sc. in biomedical engineering with a minor degree in engineering management from Bahcesehir University in Turkey. Inspired by his fascination with the physiology of the human nervous system, in combination with his passion towards improving the life quality of people who suffer from neurodegenerative diseases, he has focused his research on neural interfaces, under the supervision of Prof. Dr. Alessandro del Vecchio at the Neuromuscular Physiology and Neural Interfacing Lab. He has been a member and a volunteer in EMBS since 2015, served as a founding student chapter chair at his alma mater, and then as a student representative at EMBS Turkey Chapter. He is currently the EMBS AdCom student representative. He enjoys cooking, reading, sailing and hiking.
 
Britney Forsyth

Britney Forsyth

Britney Forsyth is currently an MS student at Columbia University studying Biomedical Engineering. She previously received a BS in Biomedical Engineering and a BS in Mathematics from Penn State University. She is passionate about improving clinical outcomes, healthcare access, medical diagnostics and treatments through biomedical innovation. Britney’s current research interests center around deep learning and machine learning approaches to diagnostics. She hopes that digitization of healthcare will improve healthcare delivery in low-resource settings such that patients have access to information about their own health, regardless of income or place of residence.
 
Antony M. Gitau

Antony M. Gitau

Antony M. Gitau is an undergraduate student of Biomedical Engineering at Kenyatta University, Nairobi, Kenya. He is interested in Biomedical Data Science and wearable technology. Antony is an IEEE volunteer, serving as the secretary of Kenyatta University Student branch. He is also the chairperson of IEEE CAS, and a committee member in the executive committee of his university’s IEEE EMBS student branch. Last year, Antony was part of the IEEE EMBS student mentorship program as a mentee. During the mentorship program, he took part as a presenter in the annual conference organized by the Polish Telemedicine and eHealth Society. Antony is currently interning in a Data Science and Artificial Intelligence lab, where he is developing a smart wearable knee device. Antony is looking towards getting into biomedical data science specialization in his postgraduate studies.
 
Evangelia Ilia

Evangelia Ilia

Evangelia Ilia graduated with a bachelor’s in physics from the University of Crete, where she became familiar with bioinformatics through her lab experience in IMBB-FORTH. She is currently working towards her master’s degree in Biomedical Engineering, a program created as a collaboration between the Technical University of Crete, the University of Crete, and FORTH. Her future research interests include conventional and hybrid medical imaging, radiomics and AI medical imaging. In her free time she enjoys watching documentaries, drawing and baking for her and her friends.
 
Monica Isgut

Monica Isgut

Monica Isgut graduated magna cum laude from Emory University with a BS in Biology, after which she spent several years working at the Winship Cancer Institute and on entrepreneurial endeavors. During that time, she became the inventor of an issued patent for a bioassay platform technology and authored papers on diverse topics related to the effects of mindfulness meditation on inflammation and the role of natural products as combination drugs for cancer. Monica is now pursuing a PhD in Bioinformatics at Georgia Institute of Technology, where her research has focused on developing novel deep learning models to work with large-scale genomic and medical history data for incident disease prediction.
 
Elisavet Kapetanou

Elisavet Kapetanou

Elisavet Kapetanou received her diploma degree in Molecular Biology and Genetics from the Democritus University of Thrace, Greece, in 2021. She is currently pursuing her Masters degree in Biomedical Engineering at the University of Crete, Technical University of Crete and FORTH, Greece. She has previously worked in the fields of point of care diagnostics using synthetic biology and in bioinformatics by performing genomic analyses in bacterial strains. This summer, she will start her Master's thesis in bioinformatics and medical image analysis at the Institute of Computer Science, FORTH, Crete. Her research interests also include systems biology, regenerative medicine and computational neuroscience. In her free time she enjoys going for hikes, learning foreign languages and horse riding.
 
Vassiliki I. Kigka

Vassiliki I. Kigka

Vassiliki I. Kigka was born in Ioannina. She received her degree in Computer Engineering and Informatics from the Polytechnical School of the University of Patras in 2015 and completed her postgraduate studies with a specialization in Biomaterials and Biomedical Science in the Department of Engineering of the University of Ioannina in 2018. Today she is a PhD candidate in the Department of Materials Science Engineering of the University of Ioannina with research interest on the prognostic modeling of the development of atherosclerotic plaques in coronary and carotid arteries and since 2018, she is a student of the Medical School of the University of Ioannina. Since 2016 she is a member of the Unit of Medical Technology and Intelligent Information Systems of the University of Ioannina and her research interests include the cardiovascular image processing and the implementation of machine learning techniques.
 
Zeynep Kirimlier

Zeynep Kirimlier

Zeynep Kirimlier is a senior undergraduate, studying Biomedical Engineering at Ankara University, Turkey. She is currently working as IEEE EMBS Turkey Student Representative. She has done her undergraduate thesis research under the supervision of Prof.Dr.Pinar Yilgor Huri, at the Biomedical Engineering Department in the area of in-situ skin biopriting. The project "Extrusion Based Hand-held in Situ Skin Bioprinter Design for Epidermis" covers the topics of bioink rheology, UV-curing, tissue regeneration, ergonomic 3d design for in-situ applications. She has been research intern at The Scientific and Technological Research Council of Turkey. She is part of the R&D team that develops personalized biodegradable implants at BTech Innovation Inc. As a sportswoman, she is a swimming coach and referee. She also enjoys doing outdoor sports.
 
Yasemin Kose

Yasemin Kose

Yasemin Kose is pursuing bachelor of science degree in the field of Biomedical Engineering as a junior, and Electrical and Electronics Engineering as a second major with full scholarships at Yeditepe University, Turkey. She is currently the EMBS Chapter Chair of IEEE Yeditepe University Student Branch. She has enormous interest in the areas of machine learning, data science, algorithms, programming languages and medical imaging. She enjoys fitness and swimming in her leisure time. She is pleased due to the fact that EMBS has provide her a wide perspective for engineering career and also for her personal improvement. She has considerable enthusiasm to research in multidisciplinary fields in the future.
 
Regina Merine

Regina Merine

Regina Merine is a Health Informatics graduate student at IUPUI. She is from a pharmacy background with a Doctor of Pharmacy degree from Rajiv University of Health Sciences, Bangalore, India, and currently working as a graduate research assistant at Purkayastha's Lab of Informatics (PLHI). Her research interest lies in healthcare data analysis, the development of innovative mHealth applications, artificial intelligence, and machine learning in optimizing care and providing personalized therapy. She is currently involved in developing the LibreHealth cost-of-care mobile app and the study of the usability of the app at safety-net hospitals in two large US cities.
 
Haoyang Mi

Haoyang Mi

Haoyang Mi received his B.Eng degree in biomedical engineering from Northeastern University (China) and his M.S. degree from Johns Hopkins University. He is currently enrolled in the Ph.D. program in Johns Hopkins University School of Medicine, working in Dr. Aleksander Popel’s Systems Biology Laboratory. Haoyang's research interests focuses on the application of advanced imaging technology and computational methods to identify spatial prognostic and predictive biomarkers in tumor microenvironment from various cancer types, including breast cancer, muscle-invasive bladder cancer, and hepatocellular carcinoma.
 
Jean Pierre Ndabakuranye

Jean Pierre Ndabakuranye

Jean Pierre Ndabakuranye received his BSc in Electrical and Electronics Engineering from the National University of Rwanda (2013) and his M.S in Electronics Engineering from Hallym University - South Korea (2016). He is currently pursuing a PhD in Optical, Electrical and Biomedical Engineering fields at the University of Melbourne. He has taught and tutored Physics and Mathematics to advanced high school level students in Rwanda, South Korea and Australia (since 2010). He has held multiple sessional teaching positions at Unimelb and RMIT (since 2017). He possesses extensive knowledge and research interests and experiences in micro-sensors and diagnostics, electrical circuits and systems, data science and engineering, embedded systems design, optical and electrochemical biosensing, photochemistry, spectroscopy, etc. He has published multiple journal papers and has presented his work to numerous international conferences. He is keen to utilise his expertise in sensing and diagnostics for agricultural, environmental, and biomedical applications.
 
Shiv Patil

Shiv Patil

Shiv Patil graduated with a B.A. degree in Neuroscience from Columbia University in June 2021. As an undergraduate student, she has researched glial-mediated mechanisms of neuronal regeneration in the adult mammalian retina. Currently, He is completing a M.S. in Biomedical Engineering at Columbia. The focus of his research project is to investigate the change in the neurophysiological responses of hippocampal-cortical projections due to epilepsy, which involves EEG signal processing. In the future, he hopes to attend medical school and become involved in the translation of AI / neurotechnology to the clinical setting. Outside of the classroom, he actively volunteer as a tutor for grade school students in the New York City area. Her hobbies include reading philosophy, playing the guitar, and exercising.
 
Mikolaj Piatek

Mikolaj Piatek

Mikolaj Piatek was born and raised in Zabrze, Poland. He is a first-year student of Master of Science of Biomedical Engineering at Silesian University of Technology with specialty in Informatic in Medicine lead by the Department of Medical Informatics and Artificial Intelligence. He graduated with B.Sc. in Biomedical Engineering with specialty in Informatic and Medical Equipment at the same University in February 2022. He is also president of the student academic club BioSoft, where they develop their abilities in biomedical field together with other students. He is fascinated with how much impact technology can have in medicine. After graduation, he would like to continue his learning path in this field but also to share his knowledge and passion with others. His biggest hobby is athletic, which he has been training as a teenager. He is also interested in medical imaging, computer science, databases and music – especially playing the guitar.
 
Konstantinos D. Polyzos

Konstantinos D. Polyzos

Konstantinos D. Polyzos received the Diploma (5-years degree) from the Department of Electrical Engineering and Computer Technology, University of Patras, Patras, Greece, in 2018. He is currently working toward the Ph.D. degree (third year) with the Department of Electrical and Computer Engineering, University of Minnesota, Twin Cities, Minneapolis, MN, USA. His research interests include machine learning, signal processing, network science, and data science. Lately, he focuses on learning over graphs which can model complex networks including financial, social and biological ones to list a few. In the past, he has worked on the development of automatic aerial target recognition systems using passive Radar data. He is a Member of the SPiNCOM Research Group under the supervision of Prof. Georgios B. Giannakis. He has been awarded the UMN ECE Department Fellowship (2019), Gerondelis Foundation Scholarship (2020), Onassis Foundation Scholarship (2021), and the BEST PAPER AWARD at the International CIT & DS 2019 International Conference (2019).
 
Delfina Rodriguez

Delfina Rodriguez

Delfina Rodriguez is from Buenos Aires, Argentina and moved to Miami, FL at very young age. She is a first-generation, Hispanic female engineer! She is pursuing a master's degree in Biomedical Engineering at Columbia University with a particular focus on Tissue Engineering and Entrepreneurship and Innovation. She recently graduated with her bachelor's degree in Materials Science Engineering and a certificate in Biomaterials from the University of Florida. Her specialized knowledge in electronic and bio materials combined with her passion for biology, design, and innovation fuel her dream to create life changing products for the betterment of healthcare.
 
Zoe Sekyonda

Zoe Sekyonda

Zoe Sekyonda holds a BS degree in Biomedical Engineering from Makerere University in Uganda, Africa. She is a third-year PhD student in the Department of Biomedical Engineering at Case Western Reserve University, where she works with Dr. Umut Gurkan in the Department of Mechanical and Aerospace Engineering. Zoe had been a co-inventor on multiple biotechnology translational projects that culminated in 5 patents. Zoe has received numerous awards, including first place in the maternal Global Health category at BIG IDEAS, UC Berkeley CA, Stars in Global Health at Grand Challenges Canada, second prize in the Hope for Sickle Cell Disease Challenge at the National Heart, Lung, and Blood Institute, and Case western reserve graduate People's Choice award in 3-minute thesis presentation.
 
Seongmi Song

Seongmi Song

Seongmi Song is a doctoral student in the Department of Health and kinesiology at Texas A&M University, College Station, TX, US. Her research focuses on human neuromotor control and adaptation of dynamic movement. She has earned a bachelor's degree in Biomedical Engineering and a master's degree in Healthcare Engineering from Chonbuk National University, South Korea. As a doctoral student, she completed a Journeyman Fellowship through the Oak Ridge Association Program associated with Texas A&M University and the U.S. Army Research Laboratory at Aberdeen Proving ground from Feb. 2021-Aug. 2021. In 2020, She completed a summer internship at the U.S. Army Research Laboratory. Before she joined the Ph. D program, she worked at Seoul Asan Medical Center as a researcher from 2017 to 2018 and Korea Institute of Machinery and Materials (KIMM) in 2016-2017. This year, 2022, she was nominated and selected as one of two award recipients for excellence in research at Ethel Ashworth-Tsutsui Memorial Award 2022 for research. At the U.S.-Korea Conference in 2019, she won the best poster presentation award.
 
Melina Tourni

Melina Tourni

Melina Tourni was born in Athens, Greece. In 2018 she received her integrated Master’s Diploma in Electrical and Computer Engineering from the National Technical University of Athens, Greece, with a major in Computer Science. She conducted her thesis in collaboration with the NYU Langone's Applied Bioinformatics Laboratories, in which she studied Digital Image Processing methods and Deep Learning models for lung cancer histopathology images' feature extraction. In 2019, she enrolled in the Ph.D. program of Biomedical Engineering at Columbia University, as part of the Ultrasound Imaging Elasticity Laboratory (UEIL). Her research interests include the development of non-invasive ultrasound imaging techniques for the electric and mechanical activation mapping of the heart and further development of Electromechanical Wave Imaging for arrhythmia characterization and clinical assistance.
 
Eleftherios Trivizakis

Eleftherios Trivizakis

Eleftherios Trivizakis received his B.Sc. and M.Sc. Degree in Informatics Engineering from the Hellenic Mediterranean University. He is currently a PhD candidate in computational medical imaging at the Medical School, University of Crete and a member of Computational BioMedical Laboratory at ICS, FORTH. His research interests include machine learning, deep learning, and image & data analysis.
 
Konstantina-Helen Tsarapatsani

Konstantina-Helen Tsarapatsani

Konstantina-Helen Tsarapatsani graduated from the Department of Materials Science and Engineering of Polytechnic School, University of Ioannina. She is a Ph.D. Candidate at the National Technical University of Athens and her doctoral dissertation focuses on the development of predictive computational models for cardiovascular disease. She is simultaneously involved in activities related to a European-funded program and co-author of articles in scientific conferences and one peer-reviewed journal. Her scientific and research interests include Big Data, artificial intelligence, and computational modeling applied in the field of biomedical engineering.
 
Nikos Tsiknakis

Nikos Tsiknakis

Nikos Tsiknakis is a PhD candidate at the department of Oncology-Pathology at Karolinska Institutet in Sweden. His research focuses on developing novel artificial intelligence and especially deep learning methods based on H&E-stained tissue images for improving prognostication and therapy response in breast cancer. He has obtained a Master of Engineering degree in Electrical and Computer Engineering at the University of Patras in 2019. Following his undergraduate studies, he worked for two and a half years as research assistant at the Computational BioMedicine Laboratory (CBML) of the Institute of Computer Science, Foundation for Research and Technology – Hellas (FORTH). He has been involved in several EU Horizon 2020 funded programs, working on medical image analysis and deep learning. His research interests include computational analysis of medical imaging, computational pathology and artificial intelligence in healthcare.
 
Alexandra Tsipourakis

Alexandra Tsipourakis

Alexandra Tsipourakis is fourth-year undergraduate Electrical and Computer Engineering (ECE) student at the Technical University of Crete. After exploring various interesting fields through the ECE course, she found herself profoundly fascinated by the field of bioengineering. Due to that, she began focusing her course projects on bioengineering related topics in addition to expanding her knowledge on programming languages, hardware and energy field studies. Her bioengineering related projects so far consists of neural network implementation projects; one for a simple voice recognition project using TensorFlow’s Keras and one more project focusing on the presentation of neural networks in AI and quantum computing, while she also intends to expand her knowledge on statistic modeling and pattern recognition methods too. Her interest in bioengineering mostly comes from the extraordinary impact that its findings can have on improving people’s quality of life, as one of her future goals is to help others through her work as much as possible.
 
Elias Tzoc-Pacheco

Elias Tzoc-Pacheco

Elias Tzoc-Pacheco is a rising senior studying Biomedical Engineering at Columbia University. He has previously researched immunoregulation of HLH, RNA-seq approaches for alopecia areata, and small molecule kinematics for anti-fibrotic scaffolds. His current projects focus on biomaterial approaches for targeting inflammatory cell types in ligament/cartilage injuries and characterizing matrix content across tissues like the ACL in the knee. After completing his undergraduate studies, Elias hopes to enter an MD-PhD program and later work in translational research related to tissue engineering with applications in inflammation, regeneration, and autoimmune diseases. He will be spending the rest of his summer continuing his research projects, volunteering as a patient advocate in NYC, and giving tours for Columbia. Elias is an active member of the Latinx community on campus, loves trying new food, and going for hikes & bike rides.
 
Xiaoxi Wei

Xiaoxi Wei

Xiaoxi Wei is a third-year PhD student at Brain&Behaviour Lab Imperial College London. Xiaoxi's research interests focus on brainwave decoding and Brain-Computer Interfaces with machine learning to help people, especially paralysed patients, control their surroundings with the mind. EEG data collection usually takes a long training period for users, sometimes even for months. Xiaoxi is currently working on cross-subject and cross-dataset transfer learning to reduce calibration time and increase decoding accuracy. He was one of the main organisers of the BEETL competition (BEETL.ai) in NeurIPS 2021, and he is a reviewer as a program committee member of the 2022 NeurIPS competition Track.
 
Artur Wysoczanski

Artur Wysoczanski

Artur Wysoczanski received his B.S. degrees in mathematics and chemistry from the University of Massachusetts, Amherst in 2016. He is currently an MD-PhD candidate at Columbia University, where he is conducting his doctoral research in biomedical engineering under Prof. Andrew Laine. His current work focuses on machine and deep learning in computed tomography image analysis, with applications to COPD, emphysema phenotyping, and renal tumor detection and classification.
 
Lama Yassine

Lama Yassine

Lama Yassine is a current Masters Student in Biomedical Engineering (M.S.) at Columbia University in the City of New York. She completed her undergraduate degree at the University of California, Riverside where she majored in both Biology & Mathematics. She currently serves on different organizational boards within Columbia University’s graduate community, including the Engineering Graduate Student Council (EGSC) and the Graduate Society of Women Engineers (GradSWE). She has a passion for helping others and fostering a safe, vibrant and healthy community among her peers, and she aspires to channel her passion into a career that accomplishes this by saving lives using biomedical technology and machine learning.
 
Dimitris Zaridis

Dimitris Zaridis

Dimitris Zaridis graduated from Electrical engineering and computer science technical department of Democritus University of Thrace, Xanthi, Greece in 2019. In 2020, he started the PhD program at National Technical University of Athens, Greece. In those years, he has been working in ProCAncer-I EU project for prostate cancer detection via deep learning and machine learning techniques. His academic interests involves image processing and specifically the segmentation of prostatic zones and image filters. His publications are “A new smart-cropping pipeline for prostate segmentation using deep learning networks”, “A Method of Estimating the Partial Power Spectrum of a Bivariate Point Process and an Application to a Neurophysiological Data Set” and “A smart cropping pipeline to improve prostate’s peripheral zone segmentation on MRI using Deep Learning” while he obtained the Best Student Paper Award in 21st IEEE International Conference on BioInformatics and BioEngineering, 2021
 
Julia Zhao

Julia Zhao

Julia Zhao is a third-year undergraduate at Columbia University studying Biomedical Engineering and Computer Science. She is interested in a career as a physician-scientist focusing on the intersection of computational biology and tissue engineering. Currently, she is conducting single-cell genomics research on pancreatic cancer at Memorial Sloan Kettering Cancer Center. She has ample experience in wet lab as well, and she has dabbled in a few industry internships. In her free time, she enjoys performing dance, exploring New York City, and creating new dishes in her dorm kitchen.