Assistant Attending Physicist
CurrentArtificial intelligence methodologies for fast and motion-tolerant MRI acquisition and reconstructions.
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@mskcc.org
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2 phones found area 703 and 650
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Victor Murray is listed as Experienced Research and Development Scientist | Image Signal Processing | Artificial Intelligence | Machine Learning | Technical Leader at Memorial Sloan Kettering Cancer Center, based in New York City Metropolitan Area, United States. AeroLeads shows a work email signal at mskcc.org, phone signal with area code 703, 650, and a matched LinkedIn profile for Victor Murray.
Victor Murray previously worked as Assistant Attending Physicist at Memorial Sloan Kettering Cancer Center and Senior Research Scientist at Memorial Sloan Kettering Cancer Center. Victor Murray holds Ph.D., Electrical Engineering from The University Of New Mexico.
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AeroLeads found 1 current-domain work email signal for Victor Murray. Compare company email patterns before reaching out.
With a Ph.D. in electrical engineering and 16+ years of experience driving innovation, adaptability, and applied science to solve complex problems, I bring an extensive portfolio of skills and knowledge. I possess working proficiency as a director, principal investigator, consultant, and bilingual professor, with an exceptional ability to translate complex technical concepts to different receptive groups. My expertise lies in image signal processing, deep learning, artificial intelligence, medical imaging, computer vision, electrical engineering, and engineering education. Besides, I am an accomplished technical leader, project designer, and patent creator with a remarkable record of invention using artificial intelligence and image processing.I am currently working on combining deep learning with image signal processing at the Memorial Sloan Kettering Cancer Center in New York City. As an exceeded consultant, I have helped institutions in the USA (Harvard University, University of New Mexico, Air Force Research Labs, VisionQuest Bio) and Peru make significant strides in researching, developing, evaluating, and deploying data-driven models for artificial intelligence industrial applications, including successful patent acquisitions in the USA and Peru.With my leadership expertise and seasoned professorship, I led the formation of Universidad de Ingeniería y Tecnología (UTEC)’s Department of Electrical Engineering and Mechatronics Engineering and other departments. Email: victormurray@seas.harvard.edu
Listed skills include Matlab, Image Processing, Algorithms, Fpga, and 19 others.
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New York, Ny, Us
Artificial intelligence methodologies for fast and motion-tolerant MRI acquisition and reconstructions.
New York, Ny, Us
MRSIGMA: signal and image processing with deep learning to make real-time 4D MRI for radiotherapy. Inventor of the MRI-Movienet network for real-time 4D MRI reconstruction.
Cambridge, Massachusetts, Us
• Research on multispectral image analysis in the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS).• Modeling and analyzing real data from a new multispectral sensor with the Nanophotonics Research Group.• More information at https://habbal.seas.harvard.edu/nanophotonics-research-group
Albuquerque, Nm, Us
• Research and engineering education between UNM and UTEC.• Active collaboration with the Department of Electrical and Computer Engineering (ECE) and ISTEC.
Albuquerque, Nm, Us
• Lead the collaboration between UNM and UTEC in terms: undergrad students, grad students, collaborative research and exchange programs, and a joint 4+1 program with the UNM graduate school of engineering.• Active collaboration with ISTEC.
Albuquerque, Nm, Us
• Led the research in the Image and Video Processing and Communication Lab, more than 20 top publications reached (until April 2012).• Developed, in collaboration with international partners, new algorithms for medical applications by extending my amplitude-modulation frequency-modulation (AM-FM) methods. AM-FM based patent granted: VisionQuest Biomedical (USA), University of Cyprus (Cyprus), Cyprus University of Technology (Cyprus), Imperial College London (UK). • Developed and led the team to create new, dynamically reconfigurable architectures for adaptive wiring panels for the Air Force Research Laboratory (AFRL). • Collaborated and key-researcher in several NIH (Phase I and II), DARPA and AFRL grant awards.
Albuquerque, Nm, Us
• New multiscale AM-FM-based algorithms for medical applications in collaboration to VisionQuest Biomedical (USA), University of Cyprus (Cyprus), Cyprus University of Technology (Cyprus), Imperial College London (UK).• Developed the first prototype of adaptive wiring panel hardware for the Air Force Research Laboratory (AFRL).• Writing of grant proposals to NIH and AFRL, and patent applications.
Albuquerque, Nm, Us
• Developed the first generation of algorithms to classify human activity in security videos for DARPA.• Developed and taught hardware design classes for UNM and FMAC (now COSMIAC), most of them using FPGAs and VHDL.• Developed an AM-FM method for image and video processing, core for 2 US patents, and millions of dollars in grants.
Albuquerque, Nm, Us
Instructor of undergraduate courses about digital circuits, computer architecture, and design of computers.
Lima, Lima, Pe
• Design and implementation of courses related to undergrad research. • Lead the research in the Department of Electrical Engineering.• Teaching, research, development and innovation in digital image and video processing, medical imaging, and hardware and computer design; in collaboration with the University of New Mexico and Harvard University. • Design of projects and workshops related to women in engineering, for example, "GIRLS POWER TECH 2018" with CISCO.• Implementation of the upgrade in the hardware and software of the laboratories.
Lima, Lima, Pe
• Managed and led the formation of the Dept. of Electrical Engineering (2013) and Mechatronics Engineering (2016). Also, proposed the creation of Computer Science (2016).• Results of the group lead included high-performing workplace culture according to Great Place to Work (GPTW), the most successful department in the university in terms of the students winning local and national competitions, high performance on publications and patents granted, first UTEC student-professor startup accepted in UTEC Ventures.• Continuously developed new methodologies to train undergrad students to research and publish, outperform learning by the creation and implementation of the UTEC GARAGE, an open-platform to adapt, create and fix inventions, new disruptive courses like Cognitive Computing in collaboration to IBM, and the creation of world-class laboratories in collaboration to Rockwell Automation, Siemens, CISCO and Telefónica del Perú.• First successful product awarded with a utility patent in Peru.• PI in national and international research projects, in collaboration with the University of New Mexico, Harvard University, and local companies.• Representation of Peru in the ECEDHA (Electrical and Computer Engineering Department Heads Association) conference (2017-2018).• President of the first UTEC research committee (2017).
Lima, Lima, Pe
• Led the creation of research groups in a brand-new and small university.• Obtained the first oral presentation, paper, funded research grant, and international course by UTEC.• Developed a new methodology to train undergrad students to research and publish. • Led the collaboration of UTEC with UNM, ISTEC, NAO robots, and Xilinx, including donations.
Startup to create apps to improve internal communication in companies (http://www.uma.la).
Cambridge, Massachusetts, Us
• Invited by Dr. Fawwaz Habbal, Executive Dean for Education and Research, in the John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard, to research on multispectral imaging using a new sensors technology in the Nanowire Group. • Modeled and analyzed the real data obtained by the newly implemented sensors and created the first real-time video processing demo.
Albuquerque, Nm, Us
Researched and developed advanced medical imaging algorithms, with an emphasis on diabetic retinopathy. Advised the technical team (Ph.D. and Ph.D. candidates). These algorithms are now the core of EyeStar (https://eyestar.ai).
Albuquerque, Nm, Us
Developed advanced image processing algorithms for age-related macular degeneration detection by extending my dissertation work on AM-FM methods. This work was later the core for the patent US 8,515,201 B1, the core of EyeStar (https://eyestar.ai), and for more than $1M in NIH grants.
Lima, Lima, Pe
• Managed and developed research projects, supervised student research and thesis projects, and reaching publishable results.• Curricular plan committee for the third year using problem-based learning (PBL) approach.
Lima, Lima, Pe
• Teaching assistant of the courses and labs of digital circuits, analog circuits, and electronic circuits and devices.
Lima, Lima, Pe
• Successfully developed two design projects for logic analysis of digital signals, including the design and implementation of VGA and mouse controllers using FPGAs and VHDL.
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Victor Murray works for Memorial Sloan Kettering Cancer Center.
Victor Murray is listed as Experienced Research and Development Scientist | Image Signal Processing | Artificial Intelligence | Machine Learning | Technical Leader at Memorial Sloan Kettering Cancer Center.
AeroLeads has found 1 work email signal at @mskcc.org for Victor Murray at Memorial Sloan Kettering Cancer Center.
AeroLeads has found 2 phone signal(s) with area code 703, 650 for Victor Murray at Memorial Sloan Kettering Cancer Center.
Victor Murray is based in New York City Metropolitan Area, United States while working with Memorial Sloan Kettering Cancer Center.
Victor Murray has worked for Memorial Sloan Kettering Cancer Center, Harvard University, The University Of New Mexico, Kraken Beer Company S.R.L., and Utec - Universidad De Ingeniería Y Tecnología.
You can use AeroLeads to view verified contact signals for Victor Murray at Memorial Sloan Kettering Cancer Center, including work email, phone, and LinkedIn data when available.
Victor Murray holds Ph.D., Electrical Engineering from The University Of New Mexico.
Victor Murray is listed with skills including Matlab, Image Processing, Algorithms, Fpga, Research, Vhdl, Electrical Engineering, and Signal Processing.
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