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Festival of Innovation

in MedTech

16-20 September 2019 | Bucharest, Romania

Endorsed by:

SSIMA Re:Imagine Healthcare

Festival of Innovation in MedTech

SSIMA is the annual international MedTech festival in Eastern Europe, covering topics related to medical technology, such as: Deep Learning and Big Data in Healthcare, Medical Imaging, Medical Sensors and Robots and AI-based Data Analysis.
It covers these topics from academic, business and public policy perspectives, with the explicit aim of increasing relationships between Eastern European academics, companies and governments and their global counterparts. As the only MedTech event in Eastern Europe endorsed by MICCAI society, we feel privileged to have a wide audience, crossing international borders, in our pursuit of these purposes.

SSIMA’s speakers in past years include professors from MIT, Johns Hopkins, Harvard University, French Academy of Sciences, Technion Israel Institute of Technology, Eindhoven University and many others. National level policy makers and representatives from multinational companies have also participated. SSIMA is the place to learn, connect and decide on all MedTech matters concerning you or your organization.

Masterclass on Deep Learning

The academic curriculum of SSIMA will start with a full-day masterclass on Deep Learning by prof. Bart ter Haar Romeny, TU/e NL. The course is intended for a broad audience. Many topics are explained in depth, from convolutional neural nets, network topologies, error backpropagation, and many applications. Attention is paid to visualization of internal mechanisms, how to find and create suitable big data collections, and how to select the proper hard- and software environment. A special focus is on the relation with biological networks as in our brain, and network efficiency (faster training, less energy use). Prof. Romeny, this year awarded with the EMBS Distinguished Lecturer award,  is known as a gifted tutorial speaker.

 

Confirmed Speakers

Prof. Alejandro Frangi, PhD

Prof. Alejandro Frangi, PhD

University of Leeds, UK
Short Bio

Alejandro (Alex) was born in La Plata, Argentina. In 1991 he moved to Barcelona, Spain, where he obtained his undergraduate degree in Telecommunications Engineering from the Technical University of Catalonia (Barcelona) in 1996. Then he carried out research on electrical impedance tomography for image reconstruction and noise characterization at the same institution under a CIRIT grant. In 1997 he obtained a grant from the Dutch Ministry of Economic Affairs to pursue his PhD in Medicine at the Image Sciences Institute of the University Medical Center Utrecht on model-based cardiovascular image analysis. During this period he was visiting researcher at the Imperial College in London, UK, and in Philips Medical Systems BV, The Netherlands.

Professor Frangi is Diamond Jubilee Chair in Computational Medicine at the University of Leeds, Leeds, UK, with joint appointments at the School of Computing and the School of Medicine. He leads the CISTIB Center for Computational Imaging and Simulation Technologies in Biomedicine. He has been awarded a Royal Academy of Engineering Chair in Emerging Technologies (2019-2029).

Professor Frangi has edited several books, published 7 editorial articles and over 215 journal papers in key international journals of his research field and more than over 200 book chapters and international conference papers with an h-index 55 and over 20,700 citations according to Google Scholar. He has been three times Guest Editor of special issues of IEEE Trans Med Imaging, one on IEEE Trans Biomed Eng, and one of Medical Image Analysis journal. He was chair of the 3rd International Conference on Functional Imaging and Modelling of the Heart (FIMH05) held in Barcelona in June 2005, Publications Chair of the IEEE International Symposium in Biomedical Imaging (ISBI 2006), Programme Committee Member of various editions of the Intl Conf on Medical Image Computing and Computer Assisted Interventions (MICCAI) (Brisbane, AU, 2007; Beijing CN, 2010; Toronto CA 2011; Nice FR 2012; Nagoya JP 2013), International Liaison of ISBI 2009, Tutorials Co-Chair of MICCAI 2010, and Program Co-chair of MICCAI 2015. He was also General Chair for ISBI 2012 held in Barcelona. He is the General Chair of MICCAI 2018 held in Granada, Spain.

Professor Frangi is Chair of the Editorial Board of the MICCAI-Elsevier Book Series (2017-2020), and serves as Associate Editor of IEEE Trans on Medical Imaging, Medical Image Analysis, SIAM Journal Imaging Sciences, Computer Vision and Image Understanding journals. Professor Frangi was foreign member of the Review College of the Engineering and Physical Sciences Research Council (EPSRC, 2006-10) in UK, is a recipient of the IEEE Engineering in Medicine and Biology Early Career Award in 2006, the ICT Knowledge Transfer Prize (2008) and two Teaching Excellence Prizes (2008, 2010) by the Social Council of the Universitat Pompeu Fabra. He also was awarded the UPF Medal (2011) for his service as Dean of the Escuela Politècnica Superior. He was awarded the ICREA-Academia Prize by the Institució Catalana de Recerca i Estudis Avançats (ICREA) in 2008. Professor Frangi is an IEEE Fellow (2014), EAMBES Fellow (2015), SPIE Member, SIAM Member, MICCAI Member, and elected member to the Board of Directors of the Medical Image Computing and Computer Assisted Interventions (MICCAI) Society (2014-2018). Professor Frangi serves in the Scientific Advisory Board of the European Institute for Biomedical Imaging Research (EIBIR) and was Chair of the Fellows Committee of the IEEE EMBS (2017-2018).

Responsibilities & affiliations

 

Director of CISTIB Centre for Computational Imaging & Simulation Technologies in Biomedicine

Member of LICAMM Leeds Institute for Cardiovascular and Metabolic Medicine

Member of iMBE Institute of Medical & Biological Engineering

Member of LIFD Leeds Institute for Fluid Dynamics

 

Research interests

Professor Frangi’s main research interests lie at the crossroad of medical image analysis and modeling with emphasis on machine learning (phenomenological models) and computational physiology (mechanistic models). He has particular interest in statistical methods applied to population imaging and in silico clinical trials. His highly interdisciplinary work has been translated to the areas of cardiovascular, musculoskeletal and neuro sciences.

He been principal investigator or scientific coordinator of over 25 national and European projects, both funded by public and private bodies. During 1/2006-3/2010 he was coordinator of the @neurIST: Intergrated Biomedical Informatics for the Management of Cerebral Aneurysms, a 12.6M€ European Integrated Project, during 1/2006-12/2009 he was scientific co-PI for the Spanish CENIT Technology Platform CDTEAM funded with 15.7M€ by the Spanish Ministry of Science and Innovation through CDTI, in 2009-2012 he participated of the euHeart Integrated Project, in 2009-2012 in the Virtual Physiological Human Network of Excellence, and in 2009-2012 he was Scientific Coordinator of the CENIT Technology Platform cvREMOD funded with 13.6M€ by the Spanish Ministry of Science and Innovation through CDTI. He coordinates the € 13.3m-Integrated Project funded by the European Commission entitled VPH-DARE@IT DementiA Research Enabled by IT, led by CISTIB and involving other 19 European organizations. Finally, he has been recently awarded a £ 1.3m grant as Principal Investigator from the UK Engineering and Physical Sciences Research Council (EPSRC) for the project OCEAN: One-stop-shop Microstructure-sensitive Perfusion/Diffusion MRI: Application to Vascular Cognitive Impairment He is also one of the 5 co-investigators in the recently awarded EPSRC-NIHR HTC Partnership Award ‘Plus’: Medical Image Analysis Network (MedIAN) led by Oxford.

Under his leadership, CISTIB develops GIMIAS (Graphical Interface for Medical Image Analysis and Simulation, an open-source platform for rapidly developing pre-commercial software prototypes in the areas of image computing and image-based computational physiology modelling, and MULTI-X (Health Data Analytics and Modelling As a Service Platform), a cloud-based platform for computational phenomics, in silico medicine, and in silico clinical trials. The research and development conducted in his research group led to two spin-off companies Clintelis SA in 2009 and GalgoMedical SA (www.galgomedical.com) in 2013.

Qualifications

BSc/MSc Telecommunications Engineering, Universitat Politecnica de Catalunya, 1996, Barcelona, Spain

PhD Imaging Sciences, Utrecht University, 2001, Utrecht, The Netherlands

Professional memberships

IEEE

SPIE

MICCAI

EAMBES

Prof. Wiro Niessen, PhD

Prof. Wiro Niessen, PhD

Erasmus University MC, NL | CEO Quantib
Short Bio

Wiro Niessen was born in Geldrop, The Netherlands, on November 15, 1969. He received a MSc degree (cum laude) in Physics from Utrecht University, the Netherlands in 1993, and a PhD degree (cum laude) in Medical Imaging from Utrecht University, the Netherlands, in 1997. Part of the MSc programme was carried out at the University of Wisconsin, Madison, USA, and part of the PhD programme at Yale University, USA.

From 1997-2004 he was Postdoctoral Researcher, Assistant Professor and Associate Professor at the Image Science Institute of the University Medical Center Utrecht. In this period he was leading research theme groups in the fields of cardiovascular image analysis and image guided interventions, and supervised eleven PhD theses in these fields.

In 2005, he was appointed as a Full Professor of Biomedical Image Processing in the Departments of Radiology and Medical Informatics at the Erasmus MC. His research interests include many aspects of computer vision, biomedical image analysis, and computer assisted interventions. In 2005 he was also appointed Professor at Delft University of Technology, at the faculty of Applied Sciences.

Wiro Niessen was elected to the Dutch Young Academy (DJA) in 2005, and is Board Member of the Dutch Young Academy since 2009. He is Associate Editor of the IEEE Transactions on Medical Imaging and Elsevier’s Medical Image Analysis. He served as a Guest Editor on two Special Issues on Model-Based Image Analysis, and Growth and Motion Analysis of the IEEE Transactions on Medical Imaging, on a Special Issue on Medical Image Computing and Computer Assisted Intervention of Medical Image Analysis, and on a special issue on mathematical methods in biomedical image analysis in the International Journal of Computer Vision. He has (co)-authored over 230 publications, abstracts excluded, in the fields of computer vision, medical image analysis and image guided surgery, of which over 90 are in peer-reviewed international journals, and of which 5 received best paper awards.

Prof. Nikos Paragios, PhD

Prof. Nikos Paragios, PhD

Ecole CentraleSupelec, FR | CEO TheraPanacea
Short Bio

Distinguished Professor of Mathematics
Centrale Supélec
Founder, CEO and CTO of TheraPanacea

Nikos Paragios (D.Sc. (05), PhD (00), M.Sc. (96), B.Sc. (94)) is professor of Applied Mathematics and Computer Science, director of the Center for Visual Computing of Ecole Centrale de Paris & Ecole des Ponts – ParisTech, and scientific leader of GALEN group of Ecole Centrale de Paris/INRIA Saclay, Ile-de-France.

Professor Paragios is the founder, CEO and CTO of TheraPannacea, a company that uses artificial intelligence to improve traditional radiation therapy.

Prior to that he was professor of applied mathematics at Ecole Centrale de Paris (2005-2011), professor/research scientist (2004-2005) at the Ecole Nationale de Ponts et Chaussees, affiliated with Siemens Corporate Research (Princeton, NJ, 1999-2004) as a project manager, senior research scientist and research scientist. Professor Paragios was an adjunct professor at Rutgers University (2002 ) and at New York University (2004) and visiting professor at Yale (2007) and at University of Houston (2009).

Professor Paragios is an IEEE Fellow, has co-edited three books, published more than two hundred papers in the most prestigious journals and conferences of medical imaging and computer vision (DBLP server), and holds twenty one US patents. Professor Paragios is the Editor in Chief of the Computer Vision and Image Understanding Journal and has served/serves as an associate/area editor/member of the editorial board for the IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), the Computer Vision and Image Understanding Journal (CVIU), the International Journal of Computer Vision (IJCV), the Medical Image Analysis Journal (MedIA), the Journal of Mathematical Imaging and Vision (JMIV), the Imaging and Vision Computing Journal (IVC), the Machine Vision and Applications (MVA) Journal and the SIAM Journal in Imaging Sciences (SIIMS) while he was one of the program chairs of the 11th European Conference in Computer Vision (ECCV’10, Heraklion, Crete) and serves regularly at the conference boards of the most prestigious events of his fields (ICCV, CVPR, ECCV, MICCAI).

Prof. Bart ter Haar Romeny, PhD

Prof. Bart ter Haar Romeny, PhD

Eindhoven University of Technology, NL
Short Bio

Professor Emeritus of Biomedical Image Analysis
Department of Biomedical Engineering
Eindhoven University of Technology

Bart M. ter Haar Romeny is professor emeritus of Biomedical Image Analysis at the Department of Biomedical Engineering of Eindhoven University of Technology. His interests are medical image analysis, its foundations and clinical applications. In his research, in order to understand image structure and analysis, he takes a closer look at the human visual system. His interests are in particular the mathematical modelling of human visual perception to build optimal computer-aided diagnosis systems, multi-scale and multi-orientation differential geometry, medical visualization applications, and brain connectivity. He authored about 350 papers, conference contributions and book chapters on these issues, and holds 2 patents. His interactive tutorial book on perceptually inspired multi-scale image analysis and his edited book on non-linear diffusion theory in computer vision are widely used. He is project leader of the Sino-Dutch RetinaCheck project: AI supported screening for early signs of eye damage due to diabetes.

Bart M. ter Haar Romeny studied Applied Physics at Delft University of Technology where he received his MSc in 1978. He subsequently performed his military service as a Royal Dutch Navy officer and obtained his PhD from Utrecht University in 1983. He then became the principal physicist of the Utrecht University Hospital Radiology Department and (1986-1989) clinical project leader of the Dutch project in Picture Archiving and Communication Systems. From 1989-2001, he was Associate Professor at the Image Sciences Institute (ISI) of Utrecht University. In 2001 he was appointed full processor of Biomedical Image Analysis at the Department of Biomedical Engineering of Eindhoven University of Technology, where he retired in 2017. In 2010, Bart ter Haar Romeny was appointed as Distinguished NEU 100-Program Professor in Biomedical Image Analysis at Northeastern University (Shenyang, PR China). Since 2014, he is a Visiting Professor at the Chinese Academy of Science in Beijing (PR China) and since 2017, he is a Honorary Chair Professor in Medical Image Analysis at the National Taiwan University of Science & Technology in Taipei (Taiwan).

Prof. Dave Hawkes, PhD

Prof. Dave Hawkes, PhD

University College London

Professor Dave Hawkes, PhD, University College London

Dave Hawkes is currently the Director of the Centre for Medical Image Computing, previously having been Director of the EPSRC and MRC funded Interdisciplinary Research Collaboration on Medical Images and Signals (MIAS-IRC), an £8M six year program from 2003 to 2007 and Chairman of the Division of Imaging Sciences at King’s College London (2002-2004). He spent 10 years working as a clinical scientist within the NHS before returning to academia at the United Medical and Dental Schools of Guy’s and St Thomas’ Hospitals (UMDS), where he received a personal Chair in 1998. He was elected FMedSci in 2011, FBIR in 2007, FREng in 2002, FInstP in 1997 and FIPEM in 1993. He became an NIHR Senior Investigator in 2009.

Professor Dave Hawkes’ research interests are focused on both fundamental research in medical image computing and transfer of advanced computational imaging technologies across the whole spectrum of patient management from screening to diagnosis, therapy planning, image guided interventions and treatment monitoring. His specific interests encompass image matching, data fusion, visualisation, shape representation, surface geometry and modelling tissue deformation promoting medical imaging as an accurate measurement tool and image guided interventions. He was awarded a £6M EPSRC Programme grant “Intelligent Imaging: Motion, Form and Function across Scale,” in 2010. He is also PI of the £818k EPSRC Challenge Engineering project “Medical Imaging Markers of Cancer Initiation, Progression and Therapeutic Response” (2013-2016). He is co-I on another EPSRC Grant in high intensity focused ultrasound, and co-I on an NIHR Programme Grant for Applied Research with Steve Halligan (Radiology) on computer assisted detection of colon cancer. He is co-I of two HICF Wellcome/DoH Smart Surgery awards on image guided liver surgery and prostate interventions, each worth approximately £2M, the Wellcome/EPSRC Challenge Engineering £11M Program in Image Guided Fetal Surgery (2014-2021) and the CR-UK/EPSRC joint KCL/UCL Cancer imaging Centre. He is also on the Boards of the UCL CRUK Cancer Centre and the UCL Medical Informatics Centre. He is currently supervisor or co-supervisor of eight PhD students and author or co-author of over 300 peer reviewed scientific publications.

Most of Professor Hawkes’ translational work is done with some commercial sponsorship and Professor Hawkes is a strong advocate of the need for researchers to work with both healthcare providers and industry. He is co-founder of IXICO Ltd (www.ixico.com) a university spin-out that provides imaging solutions to the pharmaceutical industry, and was Director for several years. He is on the Scientific Advisory Board of several  small start-ups and research organisations.

Professor Hawkes gave the Crookshank Lecture to the Royal College of Radiologist in 2008 and the Wilhelm Roentgen Honorary Lecture to the European Congress of Radiology in Vienna in 2006.

Professor Dave Hawkes founded the Centre for Medical Image Computing (CMIC) at UCL in 2005 and has directed it since then.  He has been co-Director of the CR-UK, EPSRC and DoH funded joint UCL/KCL Comprehensive Cancer Imaging Centre since 2011. He was Chairman of the Division of Imaging Sciences at KCL between 2002 and 2004 and Director of the £8M EPSRC and MRC funded IRC in Medical Images and Signals from 2003-2007.

Since 2010 he has been Director of the EPSRC Programme “Intelligent Imaging: Motion, Form and Function across Scale” and co-Director of the CR-UK/EPSRC joint UCL KCL Cancer Imaging Centre.

Professor Hawkes’ teaching is primarily done on the Masters modules associated with the MSc in Medical Image Computing and the MRes in Medical and Biomedical Imaging. He coordinates and delivers most of the lectures on the course “Medical image analysis and image directed therapy”.

In 2009 he co-founded the UCL Doctoral Training Programme in Medical and Biomedical Imaging to provide a coherent postgraduate training by MRes, coupled with a PhD by research. He was DTP director from 2009 – 2010. The DTP has recruited 43 students from 2009-2012 using a wide range of funding sources.

Andrei Broder, PhD

Andrei Broder, PhD

Distinguished Scientist at Google, Mountain View, CA
Short Bio

Andrei Zary Broder  is a distinguished scientist at Google. Previously, he was a research fellow and vice president of computational advertising for Yahoo!, and before that, the vice president of research for AltaVista. He has also worked for IBM Research as a distinguished engineer and was CTO of IBM’s Institute for Search and Text Analysis.

In 1989, he discovered (independently from David Aldous) an algorithm for generating a uniform spanning tree of a given graph.

Over the last fifteen years, Broder pioneered several algorithms systems and concepts fundamental to the science and technology of the WWW. Some of the highlights include: In 1997, Broder led the development of the first practical solution for finding near-duplicate documents on web-scale using “shingling” to reduce the problem to a set-intersection problem and “min-hashing” or to construct “sketches” of sets. This was a pioneering effort in the area of locality-sensitive hashing. In 1998, he co-invented the first practical test to prevent robots from masquerading as human and access web sites, often referred to as CAPTCHA. In 2000, Broder, then at AltaVista, together with colleagues from IBM and DEC SRC, conducted the first large-scale analysis of the Web graph, and identified the bow-tie model of the web graph. Around 2001–2002, Broder published an opinion piece where he qualified the differences between classical information retrieval and Web search and introduced a now widely accepted classification of web queries into navigational, information, and transactional.

Prof. Stefan Carp, PhD

Prof. Stefan Carp, PhD

Harvard Medical School, US
Short Bio

Assistant Professor, Radiology, Harvard Medical School
Assistant in Biomedical Engineering, Radiology
Martinos Center, Massachusetts General Hospital
Building 149, Room 2301, 13th Street, Charlestown, MA 02129 USA
Email: carp@nmr.mgh.harvard.edu , tel. +1-617-643-2230

Education:

  • D. Chemical Engineering, U.C. Irvine, 2005
  • S. Chemical Engineering, MIT, 2000
  • S. Chemistry, MIT, 2000

My research focuses on the development of novel optical instrumentation for non-invasive tissue monitoring and the translation of these techniques for clinical use. In particular I am interested in the application of near-infrared diffuse optical tomography techniques for breast cancer diagnosis and chemotherapy guidance. We have recently shown that dynamic changes in tissue blood volume during fractional mammographic-like compression can be used to assess the early response of malignant lesions to neoadjuvant chemotherapy. I am currently preparing to conduct a follow-up study, that uses a multi-modal optical imaging system combined with digital breast tomosynthesis to characterize the outcome early prediction performance of dynamic optical biomarkers assessed during a multi-stage breast compression maneuver for HER2+ and TNBC patients undergoing NACT.

Prof. Ovidiu Andronesi, PhD, MD

Prof. Ovidiu Andronesi, PhD, MD

Harvard Medical School, US
Short Bio

Assistant Professor in Radiology
Center for Biomedical Imaging
Massachusetts General Hospital
Harvard Medical School

Research: https://qtim-lab.github.io/

Prof. Peter Meer, PhD

Prof. Peter Meer, PhD

Rutgers University, US
Short Bio

Distinguished Professor Emeritus
Electrical and Computer Engineering
Rutgers University

Peter Meer received the Dipl. Engn. degree from the Bucharest Polytechnic Institute, Romania in 1971, and the D.Sc. degree from the Technion, Israel Institute of Technology, Haifa, in 1986, both in electrical engineering. From 1971 to 1979 he was with the Computer Research Institute, Cluj, Romania, working on R&D of digital hardware. Between 1986 and 1990 he was Assistant Research Scientist at the Center for Automation Research, University of Maryland at College Park. In 1991 he joined the Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ and retired in 2018 as Distinguished Professor. He has held visiting appointments in Japan, Korea, Sweden, Israel and France, and was on the organizing committees of numerous international workshops and conferences. He was an Associate Editor of the IEEE Transaction on Pattern Analysis and Machine Intelligence between 1998 and 2002, was a Guest Editor of Computer Vision and Image Understanding for a special issue on robustness in computer vision in 2000, and was a member of the Editorial Board of Pattern Recognition between 1989 and 2005. He is coauthor of an award winning paper in Pattern Recognition in 1989, the best student paper in 1999, the best paper in 2000 and the runner-up paper in 2007 in the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). With coautors Dorin Comaniciu and Visvanathan Ramesh he received at the 2010 CVPR the Longuet-Higgins prize for fundamental contributions in computer vision in the past ten years. His research interest is in application of modern statistical methods to image understanding problems. He is an IEEE Life Fellow.

Prof. Nahum Kiryati, PhD

Prof. Nahum Kiryati, PhD

Tel Aviv University, IL
Short Bio

Professor
The Manuel and Raquel Klachky Chair of Image Processing
School of Electrical Engineering
Tel Aviv University

Nahum Kiryati is a professor in the School of Electrical Engineering at Tel Aviv University. He teaches and carries out research in the field of Image Processing and Computer Vision, and founded the Vision and Image Analysis (VIA) laboratory.

Prof. Kiryati obtained the B.Sc. degree in Electrical Engineering, summa cum laude, from Tel Aviv University in 1980. He received the M.Sc. and D.Sc. degrees from the Technion, Haifa, in 1988 and 1991 respectively. He was a visiting assistant professor at the Swiss Federal Institute of Technology (ETH Zurich) and a faculty member at the Technion. Since 1998 he is with Tel Aviv University.

Prof. Kiryati authored numerous articles in Image Processing, Video Analysis, Computer Vision, Medical Imaging and related fields. Having advised many graduate students, a few of his former students are now faculty members in leading universities.

Over the years, Prof. Kiryati’s research has been supported by various external funding sources, including the German-Israeli Foundation (GIF), the European Union, the Chief Scientist of the Ministry of Trade and Industry  and others. Prof. Kiryati has served on dozens of conference committees, as well as in editorial positions in professional journals.

In addition to his engineering activities, Prof. Kiryati obtained academic degrees in the Humanities and in Law. His legal interests include models for the funding of innovation, and the interplay between law and technology.

Prof. Kiryati is a Senior Member of the IEEE, and a member of the Israeli Bar Association.

Prof. Alon Wolf, PhD

Prof. Alon Wolf, PhD

Technion-Israel Institute of Technology, IL
Short Bio

Associate Professor
Director and founder Biorobotics and Biomechanics LAB (BRML)

Mechanical Engineering Department
Technion-Israel Institute of Technology
Vice President of Technion-Israel Institute of Technology
Co- Inventor and founder Merdrobotics Corporation

Alon Wolf earned all of his academic degrees from the faculty of Mechanical Engineering at the Technion Israel Institute of Technology in Israel, receiving his Ph.D. in 2002. Immediately after receiving his Ph.D., he joined the Mechanical Engineering department at Carnegie Mellon University (CMU) as a Post-Doctoral Research Associate.

In March of 2006 Prof. Alon Wolf joined the faculty of Mechanical Engineering at the Technion Israel Institute of Technology. Here he founded a new research lab, the Biorobotics and Biomechanics Lab (BRML). The objective of the research in the BRML is to develop fundamental theories in bio-kinematics and biomechanics as well as to apply these theories to applications in medical robotics and biorobotics. Prof. Wolf’s work was published in many leading journals, Book chapters, and conferences.

He is a co-inventor and co-founder of Medrobotics and is an Associate Editor for the prestige journal of Clinical Biomechanics. He won numerous research awards and was elected to the 2016-2017 IEEE Engineering in Medicine & Biology Society Distinguished Lecturer Program.

Prof. Wolf’s urban search and rescue snake robot and his surgical snake robot were elected best technology of 2012 and 2014 respectively, by the prestige journal of popular science.

Prof. George Verghese, PhD

Prof. George Verghese, PhD

Massachusetts Institute of Technology, US
Short Bio

Professor of Professor of Electrical and Biomedical Engineering
Department of Electrical Engineering and Computer Science
MIT – Massachusetts Institute of Technology
USA

George C. Verghese received his BTech from the Indian Institute of Technology, Madras in 1974, his MS from the State University of New York, Stony Brook in 1975, and his PhD from Stanford University in 1979, all in Electrical Engineering. Since 1979, he has been with MIT, where he is the Henry Ellis Warren (1894) Professor, and Professor of Electrical and Biomedical Engineering, in the Department of Electrical Engineering and Computer Science. He was named a MacVicar Faculty Fellow at MIT for the period 2011-2012, for outstanding contributions to undergraduate education.

Verghese is also a principal investigator with MIT’s Research Laboratory of Electronics (RLE). His research interests and publications are in the areas of dynamic systems, modeling, estimation, signal processing, and control. Over the past decade, his research focus has shifted from applications in power systems and power electronics entirely to applications in biomedicine. He directs the Computational Physiology and Clinical Inference Group in RLE.

M. Alex O. Vasilescu, PhD

M. Alex O. Vasilescu, PhD

Assoc.Director, UCLA Computer Vision and Graphics Lab | CSO, Tensor Vision

M. Alex O. Vasilescu received her education at the Massachusetts Institute of Technology and the University of Toronto.

Vasilescu introduced the tensor paradigm for computer vision, computer graphics, machine learning, and extended the tensor algebraic framework by generalizing concepts from linear algebra. Starting in the early 2000s, she re-framed the analysis, recognition, synthesis, and interpretability of sensory data as multilinear tensor factorization problems, noting that tensor algebra is a suitable framework for mathematically representing multi data constituent factors, and that it can demonstratively disentangle the causal factors of data formation.

The tensor framework is a powerful paradigm whose utility and value has been further underscored by theoretical evidence that has shown that deep learning is a neural network approximation of multilinear tensor factorization and shallow networks are linear tensor factorizations (CP decomposition).​

Vasilescu’s face recognition research, known as TensorFaces, has been funded by the TSWG, the Department of Defenses Combating Terrorism Support Program, and by IARPA, Intelligence Advanced Research Projects Activity. Her work was featured on the cover of Computer World, and in articles in the New York Times, Washington Times, etc. MIT’s Technology Review named her as TR100 honoree, and the National Academy of Science co-awarded the KeckFutures Initiative Grant.

George T. Haber

George T. Haber

Serial Entrepreneur, Managing Director at CrestaFund
Short Bio

Haber’s Law “If it can be done in Software AI will do it better”.

George is a dynamic example of that special breed of Silicon Valley entrepreneurs who are powering the technology revolution.

Visionary and successful Serial Entrepreneur, Marketing Guru and Strategist, with proven track record from vision to implement and manage High Tech Companies from StartUp to M&A or IPO.
Active Angel Investor in serious, innovative, disruptive technologies working with entrepreneurs to improve the world.

Frequently quoted, speaker at national and international conferences, and one of the key people of the story of the Xbox. You can read it in the book “Opening the Xbox: Inside Microsoft’s Plan to Unleash an Entertainment Revolution” By Dean Takahasi. ISBN-10: 0761537082

Specialties: Starting StartUps and helping Private / Public Companies with Strategy and Tactics to gain and sustain long term growth and financial success.

Expert in Marketing, Competitive Analysis, financing, mergers and acquisition.

Prof. Nikola Stikov, PhD

Prof. Nikola Stikov, PhD

École Polytechnique, University of Montreal
Short Bio
Dr. Nikola Stikov is associate professor of biomedical engineering, a researcher at the Montreal Heart Institute, and co-director of NeuroPoly, the Neuroimaging Research Laboratory at École Polytechnique, University of Montreal. His research runs the gamut of quantitative magnetic resonance imaging, from basic issues of standardization and accuracy, to biophysical modeling, microstructural imaging and clinical applications.

Dr. Stikov has been awarded the Stanford Electrical Engineering Outstanding Service Award in 2003, and the Stanford University Centennial Teaching Assistant Award in 2007. He is also the founder of MRBalkan.org, and has organized several international conferences for magnetic resonance imaging under the auspices of the International Society for Magnetic Resonance in Medicine (ISMRM). In 2014 Dr. Stikov was elected Junior Fellow of the ISMRM, and in 2015 he joined the editorial board of the journal Magnetic Resonance in Medicine (MRM), spearheading the journal’s Highlights initiative. Continuing with his science outreach activities, in 2016 Dr. Stikov established the official blog of the Organization for Human Brain Mapping (OHBM), and in 2018 he became chair of the communications committee of the Canadian Open Neuroscience Platform (CONP).

Azim Celik, PhD

Azim Celik, PhD

Regional Research Manager - Eastern Europe & Turkey | GE Healthcare
Short Bio

 

Prof. Mehmet Erturk, MD, PhD

Prof. Mehmet Erturk, MD, PhD

SBU Mehmet Akif Ersoy Chest Cardiovascular Surgery Training and Research Hospital
Short Bio

Chief Physician associate professor dr. Mehmet Erturk was born in 1975 in Trabzon, Turkey. He completed his primary and secondary education in Trabzon. He started his university life at 19 May Medical Faculty in 1995 and graduated from Istanbul University Istanbul Medical Faculty in 2001. He completed his Cardiology Specialist training at SBU Siyami Ersek Thoracic and Cardiovascular Surgery Training and Research Hospital between 2001-2006. He worked as a cardiologist at Istanbul Yavuz Sultan Selim State Hospital between 2006-2009. In March 2009, he started to work as a specialist in the Cardiology Department. In 2010, he became the chief assistant at the Cardiology Clinic.
In 2014, he spent 3 months at Emony University (Atlanta, USA) as an Observer. In the same year, he became an associate professor. In 2016, for a period of 2 months, he worked at Sadi Konuk Training and Research Hospital and Şişli Etfal Training and Research Hospital, Cardiology Clinic.

At the end of 2016, he was appointed to SBU Mehmet Akif Ersoy Chest Cardiovascular Surgery Training and Research Hospital as proxy. In February 2017, he was appointed to SBU Mehmet Akif Ersoy Chest Cardiovascular Surgery Training and Research Hospital as a manager.

Since December 2017, our hospital has been working as Chief Physician.

He is married and has three children.

Prof. Marius Leordeanu, PhD

Prof. Marius Leordeanu, PhD

Politehnica University Bucharest, RO | Institute of Mathematics Simion Stoilow, Romanian Academy
Short Bio

 

Prof. Laurent Cohen, PhD

Prof. Laurent Cohen, PhD

CEREMADE, Université Paris-Dauphine
Short Bio

Laurent David Cohen was born in 1962. He was student at the Ecole Normale Superieure , rue d’Ulm in Paris, France from 1981 to 1985. He received the Master’s and Ph.D. degrees in Applied Mathematics from University of Paris 6, France, in 1983 and 1986, respectively. He got the Habilitation à diriger des Recherches from University Paris 9 Dauphine in 1995.
From 1985 to 1987, he was member at the Computer Graphics and Image Processing group at Schlumberger Palo Alto Research, Palo Alto, California and Schlumberger Montrouge Research, Montrouge, France and remained consultant with Schlumberger afterwards. He began working with INRIA, France in 1988, mainly with the medical image understanding group EPIDAURE.
He obtained in 1990 a position of Research Scholar (Charge then Directeur de Recherche 1st class) with the French National Center for Scientific Research (CNRS) in the Applied Mathematics and Image Processing group at CEREMADE, Universite Paris Dauphine, Paris, France. His research interests and teaching at university are applications of Partial Differential Equations and variational methods to Image Processing and Computer Vision, like deformable models, minimal paths, geodesic curves, surface reconstruction, Image segmentation, registration and restoration.
For many years, he has been editorial member of the Journal of Mathematical Imaging and Vision, Medical Image Analysis and Machine Vision and Applications.

He was also member of the program committee for about 50 international conferences. He authored about 300 publications in international Journals and conferences or book chapters, and 6 patents.
In 2002, he got the CS 2002 prize for Signal and Image Processing. In 2006, he got the Taylor & Francis
Prize:

2006 prize for Outstanding innovation in computer methods in biomechanics & biomedical engineering.

He was 2009 laureate of Grand Prix EADS de l’Academie des Sciences
He was promoted IEEE Fellow 2010 for contributions to computer vision technology for medical imaging. 

 

Industry Space

Qmenta
Qmenta
Quantib
Quantib
Therapanacea
Therapanacea
RetinaCheck
RetinaCheck

SSIMA:Med

  • Students: 100
  • Residents: 250 €
  • Specialist doctors: 300 €
  • Industry & Other: 400 €
  • Sept. 16 Masterclass only: 100€

SSIMA:Tech

  • BSc, MSc students: 100€
  • PhD students: 250€
  • Academia: 300€
  • Industry & Other: 400€
  • Sept. 16 Masterclass only: 100€

SSIMA:High School

  • High School students in 11th and 12th grade
  • The program is free of charge

 

Partners

University Politehnica of Bucharest
University Politehnica of Bucharest
"Carol Davila" University of Medicine and Pharmacy Bucharest
"Carol Davila" University of Medicine and Pharmacy Bucharest
Technion - Israel Institute of Technology
Technion - Israel Institute of Technology
Eindoven University of Technology (TU/e)
Eindoven University of Technology (TU/e)
Romania-Israel-Chamber-of-Commerce-and-Industry
Romania Israel Chamber of Commerce and Industry

Professional Partners

Liga Studentilor Electronisti

Media Partners

Guerrilla Radio
Guerrilla Radio

Location

Conference venue at University Politehnica of Bucharest

SSIMA 2019 is to be hosted in the UPB’s Library/Conference Center (“Biblioteca Centrală UPB”). Please note that UPB’s campus is very vast, if to search for any information, use as reference the name of the university and the library building to locate the venue.

Here is a map of the UPB campus (click on the link for Google Maps):