Roberto Lavarelllo. B.Sc Electronic Eng., PUCP, 2000. M.Sc. and Ph.D. in Electrical and Computer Engineering, University of Illinois at Urbana-Champaign 2005 and 2009, respectively. Senior Professor of the Engineering Department at PUCP. His research is focused on non-invasive ultrasonic characterization for the evaluation of pathological conditions, multi-parametric quantitative ultrasound, and ultrasonic imaging techniques. Senior member of the IEEE. He served as Associate Editor for IEEE Transactions on Biomedical Engineering (2010-2012) and president of IEEE EMBS Peru Chapter (2014-2016). He is currently Associate Editor of IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control and IEEE Transactions on Medical Imaging. He is a member of the IEEE EMBS Technical Committee on Biomedical Imaging and Image Processing, IEEE SPS Technical Committee on Bio Imaging and Signal Processing, IEEE EMBS AdCom, IEEE Transactions on Medical Imaging Steering Committee, and IEEE International Ultrasonics Symposium Technical Program Committee.
Benjamín Castañeda, B. Sc Electronic Eng., PUCP, 2000. M.Sc. in Computer Engineering, Rochester Institute of Technology, 2004. M.Sc. and Ph.D. in Electrical and Computer Engineering, University of Rochester 2006 and 2009, respectively. Senior Professor of the Engineering Department at PUCP. Coordinator of Biomedical Engineering PUCP - UPCH, Coordinator of the Center for Research and Development in Medical Engineering PUCP. Member of the Peruvian Committee of Health Informatics. Among his research topics are the diagnosis of breast and prostate cancer using quantitative elastography, automated diagnosis of tuberculosis, three-dimensional measurement of wounds, diagnosis of cutaneous leishmaniasis, improvements in preventive diagnosis in maternal-perinatal health and telemedicine. Associate member of the IEEE SPS Technical Committee on Bio Imaging and Signal Processing. Young researcher award finalist - American Institute of Ultrasound in Medicine (2007 and 2011). SINACYT / CONCYTEC Award to the academic innovator (Peru, 2013). Winner of the National Inventions Contest - Patent (INDECOPI).
Sandra Pérez, B. Sc. Bioengineering, University of Antioquia, 2010. M.Sc. in Engineering and Doctor of Medical Sciences, Universidad Pontificia Bolivariana, 2013 and 2018 respectively. Professor and coordinator of the Clinical Engineering area of the Biomedical Engineering specialty of the PUCP-UPCH. She has 10 years of experience in Clinical Engineering issues and has developed research in the area of bionanotechnology. In medical images, her work areas are acquisition and processing of multispectral images, magnetic resonance imaging and photogrammetry in cardiac and dermatological applications. She is president of the IEEE-EMBS Peru Chapter and member of the Peruvian Association of Clinical Engineers.
B.Sc Electronic Eng., PUCP, 2014. Msc. Digital Signal and Image Processing, PUCP, 2019. He developed his undergraduate thesis in the ultrasonic detection of pneumonia in the pediatric population, winner of the PADET research fund (PUCP, 2014). His postgraduate research contemplated elastography and quantitative ultrasound techniques in in vivo applications. His areas of interest are elastography, quantitative ultrasound, regularization techniques, embedded systems and computer architecture. He is currently an assistant professor at the PUCP.
B.Sc. Electronic Eng., PUCP, 2015. Signal Processing and Digital Images, PUCP, 2017. Since 2015 he has been a research assistant in the laboratory working on medical imaging, quantitative ultrasound and skin characterization. She has mainly focused her research on monitoring the treatment of skin lesions caused by tropical diseases. The results of her work have been presented in several international conferences. Her research interests include: signal and image processing, medical imaging, ultrasound imaging, elastography, tissue characterization, computer modeling and biomaterials.
M. Sc. Physics, Université Paris VII, 2008. Ph. D., Physical acoustics, Aix-Marseille Université, 2012. Dr. Rouyer was part of the LIM through a Postdoctoral contract (CONCYTEC Grant) 2014-2016. His doctoral thesis was developed in the field of computed ultrasound tomography at the National Center of the Recherche Scientifique (CNRS), Laboratoire de Mécanique et d’Acoustique (LMA). During his work at the PUCP he carried out academic and clinical studies in the field of quantitative ultrasound. He directed the project of Early Detection of the therapeutic response during the treatment of cutaneous leishmaniasis using quantitative ultrasound techniques (Innóvate Peru, CONCyTEC). In 2017, he worked at the CNRS-LMA on high frequency acoustic retropropagation models for the characterization of red blood cell aggregation. His interests include acoustic tomography, mechanical and structural properties of soft matter, and quantitative ultrasound techniques.
B.Sc. Electronic Eng., PUCP, 2008. Digital Signal and Image Processing, PUCP, 2017. During his master's degree he worked on the development of a regularized method for the construction of ultrasonic attenuation images for tissue characterization. The results of their research were presented in International Symposium on Biomedical Imaging and International Ultrasonics Symposium. He received the PAIP (PUCP) and Marco Polo (PUCP) awards. He obtained a Doctorate scholarship (Cienciactiva-Concytec, Peru). He is currently doing his Ph. D. in Electrical and Computer Engineering, the University of Illinois at Urbana-Champaign. His interests include quantitative ultrasound imaging, tissue characterization, medical imaging, and optimization.
B.Sc. Electronic Eng., San Martín de Porres University, 2012. M. Sc. Digital Signal and Image Processing, PUCP, 2017. Between 2015 and 2016, he was a research assistant at the medical imaging laboratory at PUCP and since 2017 he is a research assistant at the digital signal processing laboratory in the same institution. His research interests include: signal and image processing, medical imaging, inverse problems, optimization, machine learning, neuroscience and brain-machine interfaces.
B.Sc Electronic Eng., PUCP, 2012. His undergraduate thesis was the implementation of a position monitoring system in an ultrasonic transducer to reconstruct the volume of a scanned region based on interpolation of 2D images. Double title of Msc. Mechatronics Engineering, TU Ilmenau - PUCP, 2017. His postgraduate thesis consisted of the implementation of elastography in real time and its applications in vivo. His areas of interest are quantitative ultrasound, optimization, beamforming, and translation research. He is currently doing his doctoral studies in Biomedical Engineering at Johns Hopkins University, USA.
B.Sc Electronic Eng., PUCP, 2011, M. Sc. Digital Signal and Image Processing, PUCP, 2015. M.Sc en Electrical Engineering, University of Rochester, 2016. M.Sc Ormachea won a Peruvian scholarship (FONDECYT-CONCYTEC) for his doctoral studies in United States. He is presently pursuing a Ph.D. degree in Electrical and Computer Engineering at the University of Rochester. His field of interest is related to the development of new biomedical ultrasound images in order to provide additional and more useful information for clinical diagnosis
B.Sc Electronic Eng., PUCP, 2012. Msc. Digital Signal and Image Processing, PUCP 2016. His postgraduate research contemplated the use of ultrasonic attenuation estimation techniques for the detection of cancerous lesions in the thyroid and breast. His areas of interest are multimodal image registration, quantitative ultrasound and radiological image processing. He is currently a Ph.D candidate at the University of Orleans, France through research focused on the registration of hyperspectral and endoscopic images for the improvement of gastrointestinal examination.
B.Sc. Physics, PUCP, 2014. M. Sc Digital Signal and Image Processing , PUCP, 2017. Member of the laboratory from 2015 to 2017, working on medical imaging, Sonoelastography, Holography with normal vibration and Vibroelastography. In particular, his work has focused on the diagnosis of breast cancer using elastographic techniques. The results obtained have been presented at international conferences. His subjects of interest include: processing and formation of medical images, elastography, biomaterials, nanoparticles and imaging at the molecular level.