ROHIT PHILIP [email protected] (520) 208 - 4732 www.ece.arizona.edu/~rphilip 1240 N. 7th Ave, Apt. 211, Tucson, AZ – 85705 www.linkedin.com/pub/rohit-philip/a1/41/586 PROFESSIONAL SUMMARY: • Computer Vision Ph.D. professional with over 8 years of experience as a graduate student, and 5 years of industry experience. • Strong theoretical background in Signal and Image Processing, Image Analysis, Machine Learning, Medical Imaging, Mathematics, and Statistics. • Exceptional analytical, programming, debugging, and technical writing skills. • Excellent leadership, communication, and interpersonal skills. • Proficient in MATLAB, OpenCV, Python, IDL, R, C, C++ programming languages. • Proficient in Perl, CGI, Javascript, VB Script and bash/shell scripting. • Professionally certified in Java, and SQL. • Exceptional MS Excel (including API programming), MS Word, MS Powerpoint, and LaTeX skills. • Extremely quick learner, and problem solver. SKILLS: Image Processing/Computer Vision MATLAB, OpenCV, IDL, ImageJ. Programming Languages C, C++, R, Python, Perl, Java, Bash. Scripting Languages VB Script, Javascript. Statistics Software JMP, Prism. General purpose Software MS Excel, MS Word, MS Powerpoint, LaTeX. Other Tools SQL, Putty, CMake. EDUCATION: Ph. D. - Doctor of Philosophy. Aug. ’13 – Present The University of Arizona, Tucson, Arizona. GPA: 3.63/4.00 (3.88/4.00 Post M.S.) Major: Electrical and Computer Engineering. Minor: Mathematics. Key Interests: Signal Processing, Image and Video Processing, Image Analysis, Computer Vision, Machine Learning, Pattern Recognition, Statistics, Mathematics. M.S. - Master of Science. Aug. ’05 – Dec. ’08 The University of Arizona, Tucson, Arizona. GPA: 3.38/4.00 Major: Electrical and Computer Engineering. B.E. – Bachelor of Engineering Jul. ’01 – May ’05 Anna University, Chennai, India. GPA: 77.71/100.00 Major: Electronics and Communication Engineering. (Honors: First Class with Distinction) 1 PUBLICATIONS: Peer-Reviewed Journal Articles: DW Todd, Rohit C. Philip, JJ Rodriguez, et al. “A Fully Automated High-Throughput Zebrafish Behavioral Ototoxicity Assay” Accepted after peer review at Zebrafish. Rohit C. Philip, JJ Rodriguez, et al. “Automated High-Throughput Damage Scoring of Zebrafish Lateral Line Hair Cells After Ototoxin Exposure”. Under peer review at Zebrafish. Rohit C. Philip, JJ Rodriguez, et al. “Kallynodetection: Redefining classical detection measures such as Precision, Recall, F-Measure, and G-Measure”. Undergoing final edits. Peer-Reviewed Conference Proceedings: Rohit C. Philip, S Ram, X Gao, and JJ Rodriguez. “A Comparison of Tracking Algorithm Performance for Objects in Wide Area Imagery” 2014 IEEE Southwest Symp. On Image Analysis and Interp. (SSIAI), San Diego, CA, Apr 6-8, 2014, pp. 109-12. Rohit C. Philip, and JJ Rodriguez. “Seed Pruning Using a Multi-Resolution Approach for Automated Segmentation of Breast Cancer Tissue” 2008 IEEE Intl. Conf. on Image Processing (ICIP), San Diego, CA, Oct 12-15, 2008, pp. 1436-9. Other Publications: DW Todd, Rohit C. Philip, M Niihori, JJ Rodriguez, and A Jacob. “High-Throughput Behavioral Zebrafish Assay for Drug Development Targeting Hearing Loss”, (abstract), AOS 149th Annual Meeting, American Otological Society, Chicago, IL, May 20-21, 2016. Best Poster Award. Rohit C. Philip. “Seed Pruning for Multi-Resolution Segmentation of Vasculature in Immunohistochemical Images”, Master’s Thesis, Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, 2008. 2 EXPERIENCE: University of Arizona, Tucson, AZ Aug. ’13 - Present Graduate Research Assistant As a member of the Signal and Image Laboratory (SaIL), at the University of Arizona, I worked as a Graduate Assistant with Dr. Jeffrey J. Rodriguez. During this period, I worked on numerous projects ranging from image segmentation, object detection, object tracking, web development, and hardware integration. Key Responsibilities: • Primarily responsible for detection of objects of interest (zebrafish), from video data. • Solely responsible for tracking these objects of interest from frame to frame. • Solely responsible for maintaining custom built system software to integrate a network of Raspberry Pi computer controlled infrared cameras. • Primary focus on research and development of image analysis solutions. • Developed a machine learning solution to automate a zebrafish damage scoring process, that was otherwise done manually. • Developed an object detection and tracking solution using state of the art object detection, and tracking algorithms to identify, and track zebrafish in video. • Assisted a colleague (and learnt a lot in the process) in developing a network of interconnected Raspberry Pi computers. • Developed new theory to solve an issue that arises with performance metrics such as precision, recall, and F-score when analyzing object detection algorithms that produced split positives and merged positives. • Primarily responsible for writing journal articles, conference papers, and posters. • Aided my advisor in writing an NIH grant proposal. • Developed a proof-of-principle solution for a patent application related to zebrafish detection and tracking. • Simulated pharmacokinetic release profiles for various pharmacological compounds. • Performed curve fitting to a library of equations, and linear regression to analyze pharmacokinetic release profiles of various drugs. • Simulated multiple dosing profiles. Environment: OpenCV, Python, MATLAB, Perl, Javascript, Bash, MS Excel, MS Word, MS Powerpoint, LaTeX, Ubuntu, Windows, Mac OS X. Takeda Pharmaceuticals (formerly Millennium), Cambridge, MA May ’14 - Aug. ’14 Biomedical Imaging Intern As a member of the Biomedical Imaging Group (BIG), I was responsible for developing custom software to analyze the efficacy of treatment in preclinical imaging studies, using PET scans of tumors implanted in mice, and treated with pharmacological compounds in different stages of development. 3 Key Responsibilities: • Solely responsible for developing a tumor classification algorithm using machine learning. • Segmentation of tumors from PET scans. • Extraction of salient features from the segmented tumors, including size, shape, and texture. • Training a support vector machine classifier to perform classification of tumors. • Analysis of data every week. • Archiving, and maintaining data. • Presentation of results. Environment: MATLAB, Windows, MS Excel, MS Word, MS Powerpoint. Webseer Technology Private Limited, Bangalore, India Jun. ’12 – Jul.’ 13 Research Engineer As a research engineer at a startup in India, I was primarily responsible for research and development of image analysis, signal processing solutions, some web development, and basic programming. Key Responsibilities: • Performed image segmentation on a wide variety of natural and medical images. • Developed an algorithm to analyze color content in strawberries. • Performed k-means clustering to separate strawberries from background. • Analyzed MRI images to determine volume. Environment: MATLAB, Windows. Agama Solutions Inc., Fremont, CA Jul. ’10 – Feb.’12 Systems QA Analyst As a systems quality assurance analyst, I worked as a contractor with Wells Fargo, on developing a regression test bed for an internal messaging application. We also worked on a mainframe database application, and a web service to post monetary transactions. Key Responsibilities: • Create test cases to cover 85% of the messages used in Wells Fargo’s internal messaging system. • Solely responsible for developing an automated system to create test cases in a different testing environment that cut programming time by 50%. • Worked on a CSC Hogan mainframe. Environment: Windows, QTP, QC, VB Script, Excel, Javascript, Perl. 4 Arizona Cancer Center, Tucson, AZ Jan. ’09 – Jun.’10 Assistant Research Engineer As a member of the Imaging Core group, at the Arizona Cancer Center, I was responsible for research and development of image processing software, primarily aimed at segmentation of tumors in MRI images. Key Responsibilities: • Development of image processing solutions to analyze volume of tumors implanted in the liver of a rat, using diffusion weighted magnetic resonance imaging (MRI). • Extract features from tumors resulting in the ability to quantify response to treatment. Environment: Windows, MATLAB, IDL. University of Arizona, Tucson, AZ Aug. ’05 – Dec. ’08 Graduate Research Assistant As a member of the Signal and Image Laboratory (SaIL), at the University of Arizona, I worked as a graduate assistant with Dr. Jeffrey J. Rodriguez, and the Imaging Core group with Dr. Robert J. Gillies during my Master’s degree. During this period, I worked on segmenting tumors from immunohistochemical images, registering them in three dimensions, and creating a 3D view of the tumors, and surrounding vasculature. Key Responsibilities: • Solely responsible for segmenting tumors, and vasculature from immunohistochemical images of breast cancer tissue. • Solely responsible for 3D registration of the tumors. • Developed a novel seed pruning algorithm to reduce the number of seed points from which to perform region growing to segment the tumors, and surrounding vasculature. Environment: Windows, MATLAB, IDL. University of Arizona, Tucson, AZ Jan. ’06 – May. ’06 Graduate Teaching Assistant Worked as a teaching assistant with the lunar and planetary sciences department at the University of Arizona, teaching a foundational course in natural sciences, including one guest lecture. REFERENCES: Dr. Jeffrey J. Rodriguez, Associate Professor, Dept. of Electrical and Computer Engineering, University of Arizona. Dr. Michael Mayersohn, Professor, College of Pharmacy, University of Arizona. 5 .