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Author Information
Yongchan Kwon (Seoul National University)
Young-geun Kim (Seoul National University)
Ender Konukoglu (ETH Zurich)
Peter Li (Henry M. Gunn High School)
John Guibas (Henry M. Gunn High School)
Tejpal Virdi (Henry M. Gunn High School)
Kuldeep Kumar (Ecole de Technologie Superieure)
Morteza Mardani (Stanford University)
Jelmer Wolterink (University Medical Center Utrecht)
Enhao Gong (Stanford University, Subtle Medical)
PhD Candidate in EE at Stanford. Founder of Subtle Medical and Polarr. Focus on Deep Learning based image processing and medical imaging technologies.
Natalia Antropova (The University of Chicago)
Johannes Stelzer (MPI for Biological Cybernetics / Universitaetsklinik Tuebingen)
Rene Bidart (Waterloo University)
Wei-Hung Weng (Massachusetts Institute of Technology)
Martin Rajchl (Imperial College London)
Marc Górriz (Universitat Politecnica de Catalunya (UPC))
Vineeta Singh (University of Cincinnati)
Machine learning and computer vision researcher.
Christopher Sandino (Stanford University)
Hiba Chougrad (UNIVERSITY CHOUAIB DOUKKALI)
Bob Hu (Stanford)
Isaac Godfried (EMMC)
Ke Xiao (Stanford University)
Heliodoro Tejeda Lemus (Stanford University)
Jordan Harrod (Cornell University)
ILSANG WOO (Asan Medical Center)
Vincent Chen (Stanford University)
Joseph Cheng (HeartVista, Inc.)
Vikash Gupta (University of Southern California)
I am a post-doctoral researcher at USC Imaging Genetics Center. It is one of the largest brain-imaging labs in the world, conducting very large studies on brain related disease. I received my bachelor’s degree in Mechanical Engineering from National Institute of Technology Karnataka in the year 2007. It is regarded as one of the best engineering institutes across the country. The same year I qualified for the Graduate Aptitude test in Engineering (GATE, 2007) with a 98.9 percentile and a rank of 206 among 19156 competing candidates across the country. I worked as a research assistant in Center for Robotics and Mechatronics at Indian Institute of Technology, Kanpur for a year. In the following years I pursued my masters in mechanical engineering at Vanderbilt University. During these years, I found myself more interested in biology and inverse problems. So, I did another masters in computational biology from University of Nice, France. I also won the scholarship to pursue my PhD studies at INRIA, France (the French national Institute for Research in Computer Science and Automation). I completed my PhD with honors in March 2015. Since July 2015 I am working as a postdoctoral researcher at the Imaging Genetics Center at University of Southern California.
Chuck-Hou Yee (Imagen Technologies)
Ben Glocker (Imperial College London)
Hervé Lombaert (ETS Montreal / Inria)
Hervé is Associate Professor at ETS Montreal, Canada and Affiliated Research Scientist at Inria, France - His research interests are in Statistics on Shapes, Data & Medical Images. He had the chance to work in multiple centers, including Microsoft Research (Cambridge, UK), Siemens Corporate Research (Princeton, NJ), Inria Sophia-Antipolis (France), McGill University (Canada), and Polytechnique Montreal (Canada). He is also a recipient of the François Erbsmann Prize, a top prize in Medical Image Analysis, earned a Best Thesis Award at Polytechnique Montreal, as well as several other prizes and fellowships - Hervé co-organized several workshops and special sessions in major international conferences, including NIPS and ICML, on Medical Image Analysis.
Maximilian Ilse (University of Amsterdam)
Aneta Lisowska (Heriot-Watt University)
Andrew Doyle (Montreal Neurological Institute)
Software Developer at the McGill Centre for Integrative Neuroscience. Interdisciplinary brainhacker and neurodata scientist.
Milad Mckie (University of Georgia)
#Milad S Makkie Email: miladmakkie@gmail.com• Cell: 706 207 2807 • Home Page: [www.miladmakkie.com](http://www.linkedin.com/in/miladmakkie)( **for more details** ) # Multi-Disciplinary, Innovative Data Scientist _A highly-trained data scientist with 4 years of leadership experience in IT and telemedicine industries (NIDCo); and 4 years of experience in working with variety of big data problems from system design and architecture (HELPNI paper) to DBs and web-dev (internships); and from designing deep learning models (IEEE trans paper) to implementing distributed models over terabytes of data (IEEE trans on BD and KDD). **Core Strengths** | • 13 Publications in top conferences and journals | • Co-founder of 2 LLC and 1 organization. | | --- | --- | | • Owning 5 Patents in biomedical engineering | • Serving board of directors of 5 LLCs and orgs | | • Diverse knowledge in science, eng and mgmt. | • Leading experiences in non-profits and LLCs | | --- | --- | **Technical Proficiency** | • Microsoft and CISCO certified (CCNA, MCITP, MCSE) | • Experienced in distribute processing tools especially Spark| | --- | --- | | • Familiar with majority of ML methods | • Experienced in Python (DataCamp Data Scientist in Python) | |• Highly experienced in cloud services (Amz EC2, S3)|• Highly experienced in webdevelopment (20+ websites) | | • Experienced in deep learning APIs (Keras and TF) | • Experience in Linux administration |• Experienced in SQL query optimization|Highly experienced in cloud services (Amz EC2, S3)|Highly experienced in webdevelopment (20+ websites)| | --- | --- | # Professional Experiences (Most Recents) **Research assistant** , **Teaching assistant and Web-developer** at [UGA](http://www.uga.edu/), GA • Aug 2012 – Present - Providing innovative big data analytics solutions for the Neuroscience community. - Lab instructor at JAVA programming classes Designed a modular e-learning/survey website **Data analysis & Software Intern** at [Nuesoft Technology](https://www.nuemd.com/) and [TSAV](http://tsav.com/), GA • May 2013 – Aug 2014 - DB transaction analysis MSQL SQL query optimization Live monitoring DBs' activities. Developing an online edu system using Python & RasPi Developing a video streaming software using FFmpeg library **Co-founder & CEO** at NIDCo Ltd (Telemedicine Industry Leader), Tehran • 2009 – 2012 - Training a technical team of 40 in streaming protocols •Leading sales and marketing teams - Organizing sessions to educate & culture telemed Leading telemedicine team ---------- # Educations ####• The University of Georgia, Athens, GA – Major GPA: 3.9 • Expected Spring 2018 **PhD Candidate in Computer Science, Minor in Statistics** (fMRI bigdata analysis, [CAID lab](http://caid.cs.uga.edu/)) Developing a comprehensive analytics platform to archive, design and process fMRI bigdata in a parallel and distributed fashion. Spark, Amazon EC2, GPU cluster, Deep Conv Neural Networks, Dictionary Learning. |Amirkabir University of Technology, Tehran • 2009-2012| Azad University, Tehran • 2005-2009| | --- | --- | |Master of Science in Biomedical Engineering | Bachelor of Science in Biomedical Engineering| | --- | --- | # Recent Awards - **Selected Candidate** at Graduate Emerging Leaders Program, GA Oct 2017-2018 One of the most prestigious programs at UGA. The yearlong highly selective leadership program designed for graduate students who are nearing completion of the terminal graduate degree in their discipline and who seek to gain or strengthen their leadership capabilities. - **Fellowship Award for Data Science program** at The Data incubator, NY Mar 2018 Selectively chosen (under 3% acceptance rate) to attend an intense 8-week data science fellowship. Benefited from exposure to state-of-the-art data science technology and the best minds in the discipline. - **Scholarship Award for Academic Excellence** at POOIA organization, GA Oct 2015 - POOIA scholarship recognizes students who exhibit intellectual curiosity and philosophical creativity. ---------- # Selected Publications - Makkie, M; Li, X, et al. "_Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis_", 22st ACM SIG **KDD** International Conference on Knowledge Discovery and Data Mining, San Francisco, 2016. - Huang, H, et al. "_Modeling Task fMRI Data via Deep Convolutional Autoencoder_", IEEE Transactions on Medical Imaging, June 2017. - Makkie, M; Li, X, et al. "_A Distributed Computing Platform for fMRI Big Data Analytics_", IEEE Transactions on Big Data, 2017. - Makkie, M, et al. "_HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI)_." Brain Informatics 2.4 (2015): 225-238. ---------- # Recent Leadership Involvments - **Board member** and secretary at [PCC](http://atlantapcc.org/), nonprofit org (501c) established on1989, GA Jan 2016 - present Providing educational, charity services; and organizing cultural festivals with over 14000 participants. - **Co-founder** and networking leader at GISO, nonprofit org, GA Apr 2014 – Nov 2015 ----------
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