“How to create new ways to capture and share visual information”
Ramesh Raskar, Associate Professor, MIT Media Lab
Ramesh Raskar joined the Media Lab from Mitsubishi Electric Research Laboratories in 2008 as head of the Lab’s Camera Culture research group. His research interests span the fields of computational photography, inverse problems in imaging and human-computer interaction.
Recent projects and inventions include transient imaging to look around a corner, a next generation CAT-Scan machine, imperceptible markers for motion capture (Prakash), long distance barcodes (Bokode), touch+hover 3D interaction displays (BiDi screen), low-cost eye care devices (Netra,Catra), new theoretical models to augment light fields (ALF) to represent wave phenomena and algebraic rank constraints for 3D displays(HR3D).
In 2004, Raskar received the TR100 Award from Technology Review, which recognizes top young innovators under the age of 35, and in 2003, the Global Indus Technovator Award, instituted at MIT to recognize the top 20 Indian technology innovators worldwide. In 2009, he was awarded a Sloan Research Fellowship. In 2010, he received the Darpa Young Faculty award. Other awards include Marr Prize honorable mention 2009, LAUNCH Health Innovation Award, presented by NASA, USAID, US State Dept and NIKE, 2010, Vodafone Wireless Innovation Project Award (first place), 2011. He holds over 40 US patents and has received four Mitsubishi Electric Invention Awards. He is currently co-authoring a book on Computational Photography. [Personal webpage http://raskar.info]
John is the Project Innovator for the Camera Culture Group. John is working on new imaging platforms, developing hardware and software technologies for augmenting human vision. John is also working on large scale online learning, bringing young people from around the world together to solve some of the most important problems through rapid prototyping and helping foster an environment of entrepreneurship to take ideas into the real world for impact. He is a a co-instructor of MIT’s Computational Photography and Imaging, Fabrication and Ventures and an advisor for MIT’s Engineering the Medical Tricorder. John is building a community to foster and disseminate technology for social impact. He is a founder of Ideas in Action/TEDxBeaconstreet.com, All-American Triathlete, Loeb Fellow, Harvard University, one of the founding members of Citizen Schools, active photographer (blog has over 100k images, over 1m views, contributor to Getty Images) and family guy.
Karin Roesch is an entrepreneurial scientist with the Camera Culture Group. Karin currently works with the retinal imaging team, where she has developed a feature revealing computational retinal imaging and predictive analytics platform. Karin has prior experience as a research scientist at the University of California Los Angeles where she received her Ph.D. She also worked at Harvard Medical School Department of Genetics where she led and managed multiple projects with a focus on developing therapeutic treatments for degenerative disorders of the retina and established the first extensive microarray database for retinal glial cells. Furthermore, as an independent consultant for TFOS, Tear Film and Ocular Surface Society, Karin developed strategic vision for innovative educational services. As part of the Camera Culture Group, Karin has played an integral role in the success of the teams accomplishments at the Vodaphone Wireless Innovation Competition and she was also a finalist in the MIT 100k Business Plan Competition in 2013. Karin has published her work in Molecular Vision, Journal of Comparative Neurology and the Journal of Clinical Immunology to name a few.
Rohan is Biomedical Engineer and entrepreneur from Techstars Boston. He develops wearable devices for (1) new forms of human computer interaction and (2) low-cost healthcare diagnostics and screenings. Rohan is an iOS and Android developer and has launched 5 successful Android Apps with a combined 20,000+ active users. His work has been featured in local news, radio, TV, and more. He mentors startups at Harvard i-Lab, Startup Weekend, Startup Institute, and TechStars Boston. He also teaches at the MIT Media Lab and at startup events around the US on app development (Google Glass/Android), UI/UX strategies, Body Language/Pitches, and more.
Dan is a postdoctoral fellow in the Camera Culture Group in MIT Media Lab, MIT, Massachusetts Institute of Technology. He earned his Ph.D. in Computer Science Department, Technion, Israel institute of Technology working in GIP laboratory on invariant metrics of non-rigid shapes. His research provides new practical tools for analysing geometric data. He has a bachelor degree, Summa cum Laude, in both Mathematics and Computer Science, and is an alumnus of Technion’s Excellence Program. After receiving his masters degree he spent a summer internship working at HP-Labs Israel. Dan’s research was granted several excellence prizes including the Gutwirth and Intel awards. Dan was elected best lecturer on several occasions including the prestigious Technion directorship prize for outstanding adjunct teacher.
Micha is a postdoctoral associate in the Camera Culture group at the MIT Media Lab. His research interests deal with computational and numerical aspects of inverse problems, including applications to time resolved imaging, computation photography and medical images. Micha is also interested in various aspects of compressed sensing, dictionary learning and smart random sub-sampling. He finished his Ph.D studies at the Tel-Aviv University at the mathematical visual perception lab where he also received his M.Sc with honors. His doctoral dissertation included work on applying smart random sampling techniques (coresets) to dictionary learning, adaptive regularization methods for inverse problems and approximation methods for Maxwell’s equations in microscopy. In the industry, Micha has acted as chief architect for Sagivtech, a company providing GPU consultations and solutions, with specific expertise in imaging and vision applications, as well providing consultations and outsourcing services in the fields of imaging, vision and mathematical modeling for multiple companies in the Industrial inspection, defense and medical imaging fields.
Barmak is currently a Postdoctoral Associate at the MIT Media Lab. Barmak’s research interest covers a wide range of topics in optics and photonics; nano-optics, THz devices, holography, acousto-optics, and image/display related optics are a few to mention. He received his Ph.D. at the University of Victoria in 2013 and his M. Sc. and B.Sc. at the Isfahan University of Technology in 2006 and 2008 respectively. Barmak finished his Ph.D. work on enhancement of THz photoconductive switches using nanotechnology with 10 scientific journal publications and 3 patents. His other contributions include an invited TEDx talk on the future of THz technology and an introductory work on topological metrics for self-reconfigurable robots.
Munehiko is a Postdoctoral Associate in the Camera Culture Group at the MIT Media Lab. His research interests are centered around Human Computer Interaction, Human Interface, Human Perception, and Virtual Reality. His recent work specializes in interactions with large visual displays, and gesture-sensing technology on ordinary objects and human bodies. Munehiko is working on various projects to link humans and computers to provide people with improved means of interacting with the world, exercising his background in computer science, mechanical engineering, electrical engineering. Munehiko earned his Ph.D. in Engineering, M.S. in Information Science and Technology, B.E. in Mechanical Engineering from the University of Tokyo in 2013, 2009, and 2006, respectively. He also studied as an exchange student at Department of Computer Science and Engineering, Helsinki University of Technology in 2006-2007 academic year, where he worked in a 3D virtual reality research group under the supervision of Prof. Tapio Takala. Throughout 2011, Munehiko worked as a Lab Associate at the Interaction Group of Disney Research, Pittsburgh with Dr. Ivan Poupyrev on Swept Frequency Capacitive Sensing (Touché) project, which won a best paper award at ACM CHI 2012.
Nickolaos Savidis is a postdoctoral associate in the Camera Culture group at the MIT Media Lab. Nick previously studied at the University of Arizona where he received his PhD in Optical Sciences. Nick is fascinated with 3D imaging, the production of new display systems, optical design and developmental research. He currently works on the groups retinal imaging team visualizing images of the retina in easily operated, standalone devices, which enable disease diagnosis.
Anshuman Das is a postdoctoral associate in the Camera Culture Group at the MIT Media Lab and the MIT Tata Center for Technology and Design. Anshuman is interested in creating rapid diagnostics that are smart, predictive, and accessible and will improve the way diagnostics are carried out. Within the health diagnostics field he is exploring intersections with health diagnostics and optics, lasers, UV-VIS, soft x-ray, Raman, and terahertz spectroscopy. He is also interested in super-resolution optical imaging and soft matter based optical elements. He is currently working on electrical and optical sensing of infections, wide-angle endoscopy and designing smart otoscopes. Before coming to MIT Anshuman received his Ph.D. from JNCASR in India where he researched on light management, degradation, and electrode design in organic solar cells.
Matt is a Ph.D. student at the MIT Media Lab. He works with Henry Holtzman’s Information Ecology Group and Ramesh Raskar’s Camera Culture Group. He graduated from Tufts University in 2004 with a Bachelor of Science in Computer Engineering. He worked from 2004 to 2007 at Analogic Corp. as an Imaging Engineer, where he designed threat detection algorithms for Computed Tomography security scanners. he is interested in all kinds of imaging devices, and using them to enable new understanding and interaction.
Nikhil is a second year graduate student at the Media Lab. His research interests include computer vision/graphics and machine learning. At the Media Lab, he has worked on novel algorithms for material acquisition and scene analysis using ultrafast imaging. He has prior research experience in object tracking and biometrics. His hobbies are rowing and creative writing.
Ayush Bhandari is a PhD Candidate in the Camera Culture Group. His work focuses on signal processing, computational imaging and applied mathematics. He prepares mathematical models of novel imaging technology with a focus on inverse problems in Time-of-Flight (or ToF) imaging. Before MIT, Ayush was a researcher at EPFL (Switzerland), CUHK (Hong Kong), Temasek Labs/NTU (Singapore) and INRIA-Rennes (France).
Hisham Bedri is a research assistant in the Camera Culture group at the MIT Media Lab and an MSc candidate in the Engineering Systems Division of MIT (TPP). He has researched and developed systems to see around corners and through objects using sound waves and other forms of energy propagation. He is passionate about creating the next generation of “Iron Man” type displays. Before joining the Camera Culture group, Hisham studied Electrical Engineering at Tufts University where he developed a system to detect landmines using sound. He then worked at GE Healthcare where developed x-ray systems and evaluated PET image reconstruction algorithms. Hisham also has an entrepreneurial spirit and was ranked 2013 finalist at hackMIT and the MIT100K accelerate competition, as well as co-founded hackSUDAN, a hackathon in Khartoum, Sudan.
Guy is a research assistant at the Camera Culture group in MIT Media Lab. He holds a B.Sc. in Electrical Engineering and a B.Sc. in Physics from the Technion, Israel. He studied as part of the Technion’s program for excellent students and graduated with honors. Prior to joining the Media Lab he worked at Intel Israel, where he gained experience in the field of computer architecture. Guy has submitted several patents and co-authored a number of papers. His current research involves imaging through scattering, ultra-fast imaging and medical imaging.
Boxin Shi is a Postdoctoral Fellow. He is also affiliated with Prof. Sai-Kit Yeung’s group, at Singapore University of Technology and Design (SUTD), as an SUTD-MIT Joint Postdoctoral Fellow. His research interests are computer vision and computational photography. His recent works specializes in photometric methods, reflectance and illumination, physics-based vision, and 3D reconstruction. Boxin earned his Ph.D. degree in information science and technology from the University of Tokyo in 2013. During his Ph.D. study, he worked at the Computer Vision Lab, under the supervision of Professor Katsushi Ikeuchi. Before coming to the University of Tokyo, he received his Masters of Engineering from Peking University and Bachelors of Engineering from Beijing University of Posts and Telecommunications, China, in 2010 and 2007 respectively. He has worked at Visual Computing Group at the Microsoft Research in Asia as an intern in 2009, 2010, and 2012, supervised by Dr. Yasuyuki Matsushita. He has also worked at the National University of Singapore as a Research Engineer with Professor Ping Tan in 2011.
Everett Lawson is pursuing his master’s degree in the Camera Culture Group at the MIT Media Lab and the MIT Tata Center. Everett has been building cameras his whole life and he now brings this inquisitive nature and passion to the Lab. Everett builds devices that use a non-invasive approach to image the eye and diagnose health problems. With a background in visual systems and mechanical engineering, Everett contributes to many of the groups projects including EyeMitra a simple solution for early detection of Diabetic Retinopathy that can change the arc of growth of the world’s largest cause of blindness.
Hang Zhao is a first year graduate student in the Camera Culture Group. Hang is interested in computational photography and optical imaging. I n 2009, he received his Bachelors of Science from Zhejiang University in China, where he graduated with honors. At the Media Lab, his research involves applying novel optical sensors and computational methods to improve current quality of optical imaging, to devise future photography systems.
Achuta Kadambi is trained as an electrical engineer. He is currently a grad student at MIT. His core research focus is on signal processing, with an emphasis on problems that arise at the interface of physical sensors and computation. At the intersection of signal processing, computer vision, and machine learning, this work has a wide range of applications in (3D) cameras, robotics, and low-cost medical imaging. Previously he worked on computer vision problems at Tubemogul in Berkeley, CA and received his undergraduate degree from University of California at Berkeley.
Jon Seaton is a visiting student researcher at the MIT Media Lab and PhD student at the University of Wisconsin – Madison. He completed his undergraduate degree at UW–Madison in 4 years with a triple major in Physics, Mathematics, and Biomedical Engineering in 2011 and a masters degree in Medical Physics in 2012. He is also an alum of the Wisconsin Entrepreneurship Bootcamp and the Weinert Applied Ventures in Entrepreneurship program. Before joining the MIT Media Lab, he served as an analyst for one of the largest VC firms in the Midwest. He has won numerous business plan competitions and advised many early stage start-ups.
Krishna is an undergraduate student in biotechnology at Visvesvaraya Technological University. He is currently a visiting student at the MIT Media Lab. He is an anti –disciplinarian and has done several projects in various fields including, electronics, environmental, and healthcare. His curiosity and hands-on experience motivates him to research, design and test innovative prototypes. Currently Krishna is exploring retinal and dental imaging.
Vijay is an undergraduate student in Electronics and Communication at PES Institute of Technology, India. He is presently a Visiting Student at Media lab. He is a fellow of Health care lab housed at PESIT campus, involving himself in design and development of low cost, open source solutions to medical problems. His principle fields of interest are Human Electrophysiology, Wearable computing, Analog design & Machine Learning. He has represented India in few of the Global competitions. At Media lab, he is working on Time of Flight/Ultra-fast Imaging & its applications in Bio-medical field.
Annette is a visiting student at MIT Media Lab and a research assistant and PhD student at Vienna University of Technology, Austria. Her core research involves computer graphics, image processing and mobile computing in the field of mixed reality with a focus on optical tracking and 3D human computer interaction. Recent work was also concerned with medical applications in mixed reality and autonomous flight of unmanned Arial vehicles. She received her graduate degree in Computer Science from University of Applied Sciences Wiesbaden, Germany, and was involved in research on computer graphics in 3D Geographic information system as a research student at Fraunhofer Institute for Computer Graphics (IGD), Germany. At MIT Media Lab, Annette is working on ubiquitous human computer interaction with everyday objects by applying non-vision sensor technology.
Abhimanyu is an undergraduate at the Indian Institute of Technology, Delhi, majoring in Electrical Engineering. He is currently a visiting student at the MIT Media Lab. His primary research interest is to use computer vision and applied machine learning techniques to create solutions to modern imaging challenges. In MIT’s Camera Culture group he is working on creating a robust realtime object detection system which can learn, detect and track objects in different orientations using minimal training. Prior to the Media Lab, he spent a summer at Virginia Tech working as an intern at their Machine Learning laboratory.
John is a physician, entrepreneur, and an MBA student at the Sloan School of Management. John teaches the Engineering Health class at the Media Lab and is developing a health innovation pipeline for low cost diagnostics projects within Camera Culture. John’s own research into novel uses of health information and communication technology in the developing world was featured in the Stanford Social Innovation Review. He previously co-founded a company allowing physicians to access patient’s pharmacy records. He received his MD at the University of Calgary and trained as a family physician at the University of Toronto. He is also working on a project to wirelessly charge consumer electronics.
Julio C. Estrada, earned his Ph.D. in Optics Science at Centro de Investigaciones en Optica (CIO), Mexico, on interferogram analysis and phase demodulation methods. He is distinguished by the Mexican Council of Science and Technology (CONACYT) as a member of the National Research System (SNI) level II with a grant for his research. His areas of interest are optical metrology, image and signal processing, compressive sensing and technological applications of light propagation. Currently he is working on improving methods for structured light and studies on ultrafast optics and its applications.
Scientists and Post-docs:
Gordon Wetzstein, 2014, now at Stanford University
Chris Barsi, 2014, not at UMASS
Douglas Lanman, 2012, now at NVIDIA Research
Andreas Velten, 2012, now at University of Wisconsin
Yun Hee Kim, 2011
Ankit Mohan, 2010, now at Flutter (Bot Square Inc.)
Daniel Saakes, 2010
Amy Canham, 2014
Hayato Ikoma, 2014
Chunglin Wen, 2014
Otkrist Gupta, 2012
Jason Boggess, 2012
Roarke Horstmeyer, 2011
Rohit Pandharkar, 2011
Kevin Chiu, M.S. 2011
Jaewon Kim, M.S. 2010
Ahmed Kirmani, M.S. 2010
Sharmeen Browarek, MEng 2010
Dennis Miaw, MEng 2010
Jordan Sorensen, MEng 2010
Henna Nandwani, 2012
Amy Fritz, 2012
Tyler Hutchison, 2010
Ishaan Chugh, 2010
Biyeun M. Buczyk, 2010
Xiaoxi Wang, 2010
Shogo Fukushima from the University of Electro-Communications, Japan
Di Wu from Tsinghua University, China
Guy Satat from Technion, Israel
Chinmaya Joshi from College of Engineering, Pune
Matthew O’Toole from the University of Toronto, 2012
Siddharth Khullar from Rochester Institute of Technology, 2012
Kenishiro Fukushi from Tokyo Institute of Technology, 2012
Belen Masia from the University of Zaragoza, 2011
Vitor F. Pamplona, 2011
Abhijit Bendale, 2011
Erick Baptista Passos, 2011
Behzad Sajadi, 2011
Gordon Wetzstein, 2010
Tom Cuypers, 2010
Yasuhiro Mukaigawa, 2010
Manuel M. Oliveira, 2010
Masaki Suzuki, 2010
Gabriel Taubin, 2010
Shinsaku Hiura, 2009
Matthias Hullin, 2009
Grace Woo, 2008
Emily Zhao, 2008