Tentative



Dr. Sivaramakrishnan "Siva" Rajaraman

Research Scientist
National Library of Medicine, National Institutes of Health, Maryland, USA

RajaramanSivaramaKrishnan

Curriculum Vitae

Expertise and Research Interests: Dr. Sivarama Krishnan Rajaraman is working as a research scientist at the National Library of Medicine (NLM), National Institutes of Health (NIH). Dr. Rajaraman received his Ph.D. in Information and Communication Engineering from Anna University, India. He is involved in projects that aim to apply computational sciences and engineering techniques toward advancing life science applications. These projects involve the use of medical images for aiding healthcare professionals in low-cost decision-making at the POC screening/diagnostics. He is a versatile researcher with expertise in machine learning, data science, biomedical image analysis, and computer vision. He has more than 15 years of experience in academia where he taught core and allied subjects in biomedical engineering. He has authored several national and international journal and conference publications in his area of expertise. Dr. Rajaraman is an Editorial Board member of the journals PLOS ONE and MDPI Electronics. He is reviewing manuscripts for more than 75 journals including those published by Nature, Lancet, IEEE, MDPI, Elsevier, and other leading conferences including CVPR, EMBS, CBMS, and MICCAI. Dr. Rajaraman is a Life Member of the Society of Photo-optical Instrumentation Engineers (SPIE), a regular member of the Institute of Electrical and Electronics Engineers (IEEE), IEEE Engineering in Medicine & Biology Society (EMBS), and the Biomedical Engineering Society (BMES).

Honors and Awards: Dr. Rajaraman received the NLM Special Acts/Services Group Award in 2018. He is placed in the top 1% of reviewers consecutively on Publons’ global reviewer database for the award years 2017-18 and 2018-19. This award is determined by the number of peer review reports performed during the given award year.

Title of the presentation: Chest X-Ray Bone Suppression for Improving Classification of Tuberculosis-Consistent Findings

Prof. Min Xu

Assistant Professor of Computational Biology, Carnegie Mellon University
GHC 7709, 5000 Forbes Avenue, Pittsburgh, PA 15213
http://www.cs.cmu.edu/~mxu1

NMin Xu

Curriculum Vitae

EDUCATION:
  • University of Southern California, Los Angeles, PhD., 2009, Computational Biology and Bioinformatics (Dr. Xianghong Zhou)
  • University of Southern California, Los Angeles, M.A., 2009, Applied Mathematics (Dr. Sergey Lototsky)
  • National University of Singapore, School of Computing, Singapore, M.Sc (by research), 2003 (Dr. Rudy Setiono)
  • Beihang University, Beijing, B.E., 1999, Computer Science and Technology
PROFESSIONAL EXPERIENCE:
  • Assistant Professor , Computational Biology Department, School of Computer Science, Carnegie Mellon University, 2020 - Present
  • Training Faculty, Master of Science - Computer Vision (MSCV) Program, Robotics Institute, School of Computer Science, Carnegie Mellon University, 2016 - Present
  • Training Faculty, CMU-Pitt Ph.D. Program in Computational Biology, 2016 - Present
  • Senior Engineering Manager & Technical Lead, Petuum Inc. 2018 - 2020
  • Assistant Research Professor, Computational Biology Department, School of Computer Science, Carnegie Mellon University, 2016 - 2020
  • Research Associate, Program in Computational Biology and Bioinformatics, University of Southern California. Dr. Frank Alber. 2009 - 2016
  • Research Assistant, Program in Computational Biology and Bioinformatics, University of Southern California. Dr. Xianghong Zhou. 2004 - 2009
  • Bioinformatics Engineer, Institute of Molecular and Cell Biology and Institute of Molecular Agrobiology, Singapore. Dr. Jinrong Peng, 2001 - 2004
  • Software Engineer, Han Wang Co Ltd, Institute of Automation, Chinese Academy of Science, China, 1999
FUNDING:
  • NIH 1R01GM134020, PI, 6/9/2020 - 6/8/2024
  • NSF IIS-2007595, PI, 6/1/2020 - 5/30/2023
  • NSF DBI-1949629, PI, 6/1/2020 - 5/30/2023
STUDENT ADVISING
  • Xiangrui Zeng, PhD candidate, 2017 - Present. Center of Machine Learning and Health Fellowship, 2019
  • Tiffany Ma, Master Student, 2021
  • Xiaoyu Zhu, Master Student, 2020
  • Gregory Howe, Master Student, 2020
  • Bo Zhou, Master student, 2017 - 2019
  • Chang Liu, Master student, 2017 - 2019
  • Ka Wen Wang, Undergraduate student, 2017 - 2020
  • a) Honorable Mention for the Computing Research Association's (CRA) Outstanding Undergraduate Researcher Award for 2020
  • b) CMU Summer Undergraduate Research Apprenticeship
  • Yixiu Zhao, Undergraduate Student, 2017 - 2019
  • a) Elizabeth W. Jones Award for Excellence in Undergraduate Research in Experimental or Computational Biology for 2019
PROFESSIONAL SERVICE
  • Editorial
  • Guest Associate Editor, PLOS Computational Biology, 2020
  • Topic Editor, Frontiers in Molecular Biosciences and Physiology, 2020
  • Member, Editorial Board, Journal of Statistical Methods in Medical Research, 2012 - present
  • Committee and Society Positions
  • Faculty Hiring Committee, Computational Biology Department, CMU, 2019  -2020
  • Admissions Committee, Masters of Science in Computer Vision, 2017 - Present
  • Curriculum Committee, Joint CMU-Pitt Ph.D. Program in Computational Biology, 2016 - 2018
  • Admissions Committee, Joint CMU-Pitt Ph.D. Program in Computational Biology, 2016 - 2018
  • Committee and Society Positions
  • More than 13 Conferences
  • PUBLICATIONS
  • More than 67 papers
PROFESSIONAL SOCIETIES

Institute of Electrical and Electronics Engineers (IEEE), IEEE Computer Society, IEEE Engineering in Medicine and Biology Society, IEEE Signal Processing Society, Association for Computing Machinery (ACM), ACM Special Interest Group on Bioinformatics, Computational Biology, and Biomedical Informatics (SIGBio), ACM Special Interest Group on Artificial Intelligence (SIGAI), International Society for Computational Biology, British Machine Vision Association (BMVA)

Title of the presentation: Automatic analysis of cryo-electron tomography using computer vision and machine learning

Prof. Hamidreza Namazi

Adjunct Lecturer, School of Engineering, Monash University
Adjunct Fellow, College of Engineering and Science, Victoria University
Research Associate, Faculty of Kinesiology, University of Calgary
Researcher, Faculty of Sports Studies, Masaryk University
Visiting Professor, Faculty of Informatics and Management, University of Hradec Kralove
Editor of International Journal of Imaging Systems and Technology (IF=1.925)
Associate Editor of Fluctuation and Noise Letters (IF=0.988)
Editor of Technology and Health Care (IF=0.806)
Associate Editor of Frontiers in Medical Technology

Namazi

Curriculum Vitae

Dr. Hamidreza Namazi received his Ph.D. from Nanyang Technological University (Singapore) in 2013. His research interests primarily focus on mathematical and computational analysis and modeling of signals and images in biomedical engineering. He is the author of more than 80 peer-reviewed ISI journal papers in biomedical signal and image processing. He also serves as the editor of several ISI journals. Currently, he is officially affiliated with five universities. He is working as an adjunct lecturer at the School of Engineering, Monash University (Malaysia campus), as a research associate at the Faculty Kinesiology, University of Calgary (Canada), as a visiting professor at the University of Hradec Kralove (Czech Republic), as an adjunct fellow in Victoria University (Australia), and as a researcher at Faculty of sports sciences, Masaryk University (Czech Republic).


Dr. Eng. Lucia Billeci

National Research Council of Italy (CNR)
Institute of Clinical Physiology (IFC), Pisa, Italy.

Namazi

Curriculum Vitae

Lucia Billeci is a Biomedical Engineer, Researcher at the CNR-IFC. She graduated at the University of Pisa in 2007 with 110/110 cum laude and in 2011 she obtained the PhD in Automation, Robotics and Bioengineering at the University of Pisa. Her main research interests consist in the implementation and application of biomedical signal processing techniques (with particular attention to ECG, EEG, eye-tracking, surface EMG, Skin Conductance), for the study of the neurobiological and physiological aspects of neurodevelopmental, neurological and cardiovascular diseases. She is also interested in the application of wearable solutions for non-invasive monitoring of physiological and pathological situations. Moreover, she is interested in the application of machine learning techniques for a personalized medicine. She has been involved in numerous Research projects including the EU-FP7 project MICHELANGELO, implementing novel technologies for behavioral assessment in children with Autism Spectrum Disorders and the Tuscany Region – funded PANACEE focused on prediction and analysis of brain activity during transitions (epilepsy and sleep). She is part of the Editorial Board of Frontiers in Human Neuroscience, Frontiers in Psychology, BMC Neurology and PLOS ONE and she is reviewer of more than 30 international journals. She has been a lecturer in the Degree course in Biomedical Engineering and in the Degree Course in Clinical Psychology at the University of Pisa, as well as in the Masters organized by the Institute of Gestalt HCC Italy and by the Department of Clinical and Experimental Medicine of the University of Pisa. She has been the supervisor for several students in Biomedical Engineering and PhD students in Bioengineering. The awards obtained by Dr. Billeci during her career include the first prize at the Computer in Cardiology /PhysioNet Challenge 2013 "Noninvasive Fetal ECG". According to SCOPUS, she is author of more than 70 scientific publications (h-index: 20).


Dr Indrani Roy

University College London, UCL, IRDR, London, England

Namazi

Curriculum Vitae

Dr Indrani Roy is a Climate Scientist and undertook her Ph.D. at Imperial College, London, within the Space and Atmospheric Research Group. Since receiving her Ph.D., she has worked in various research organisations including Imperial College, London and the University of Exeter and has also previously worked for the Indian Meteorological Department. She is a Fellow of the Royal Meteorological Society (FRMetS) and Royal Astronomical Society (FRAS) and an Associate Fellow of Higher Education Academy (HEA). Indrani is a panel member of the Natural Environmental Research Council (NERC), UK and reviewer of many international journals including Nature Geoscience, Scientific Report and Climate Dynamics. She is also a reviewer of many grant funding bodies viz. National Science Foundation (NSF) US, Royal Society, NERC and NASA. She has 39 first / single-authored publications on the Web of Science and many of her research are multidisciplinary in nature and addressed pressing issues of current day science and society.


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