1,740,681 research outputs found
Atul Salhotra oral history interview and transcript
This recording and transcript form part of a collection of oral history interviews conducted by the Chao Center for Asian Studies at Rice University. This collection includes audio recordings and transcripts of interviews with Asian Americans native to or living in Houston.Atul Salhotra was born in 1958 in Shimla, India. Atul grew up Hindu and continues to practice the religion to this day. Throughout his time in higher education, he studied engineering at the Institute of Technology in New Delhi, the Asian Institute of Technology in Thailand, as well as at MIT. He has taught at several universities and also worked with Woodward Clyde before deciding to start his own company, the Risk Assessment and Management (RAM) Group. Through an arranged marriage, he met his wife and raised two children together. As his children pursue various endeavors in their lives, Atul has learned to appreciate a more expansive definition of success. He also stays active in his temple, Arya Samaj of Greater Houston, and helps organize Diwali celebrations that welcome non-Indians and raise money for charity
The Future of Camera Technology with Atul Ingle
Single-photon camera sensors have the potential to revolutionize digital camera technology. These sensors can capture individual photons at high speeds, circumventing some of the limitations of current digital camera technologies. One challenge, however, is the sheer amount of data generated by the sensor, which is a hindrance to their widespread adoption. With the support of the National Science Foundation, Assistant Professor Atul Ingle is developing algorithms to solve this problem--algorithms that could enable the adoption of single-photon sensors in applications ranging from autonomous vehicles to medical imaging and the cameras in cellphones
Atul Kothari oral history interview and transcript
This recording and transcript form part of a collection of oral history interviews conducted by the Chao Center for Asian Studies at Rice University. This collection includes audio recordings and transcripts of interviews with Asian Americans native to or living in Houston.Mr. Atul Kothari left India for New York in 1974 and finally ended up in Houston in 1976 where he has lived ever since. He holds an MBA as well as a B. Tech. and MS in Chemical Engineering. He has owned his own public accounting firm since 1984 that has grown from just himself to a six person practice. More recently, Mr. Kothari has been involved with the Gandhi Library that hosts Mahatma Gandhi Week, a celebration of Gandhi’s birthday that includes the 1,000 Lights for Peace march. Mr. Kothari has also been instrumental in bringing the Eternal Gandhi Museum to Houston, the biggest project he is currently involved in
“What is the impact of utilizing so-called best practices in percutaneous coronary intervention?”: an interview with Atul Gupta
Atul Gupta, MD speaks to Adam Price-Evans, Managing Commissioning Editor of Future Cardiology. Atul Gupta is the Global Chief Medical Officer for the business group Image Guided Therapy at Philips, providing medical guidance to Philips’ clinical vision and strategy. As a practicing interventional and diagnostic radiologist, he also serves as a key external clinical voice for Image Guided Therapy. His key responsibilities include supporting innovation and product development in cardiology, peripheral vascular, surgical, oncology interventions, clinical education, office-based labs, medical affairs and new business development and ventures. He went to medical school and completed his postgraduate training in diagnostic radiology and a fellowship in interventional radiology. He maintains a clinical practice, performing interventional and diagnostic radiology in both hospital and office-based lab settings. </jats:p
Atul & Poonam Salhotra oral history interview on love
This recording and transcript form part of a collection of oral history interviews conducted by the Chao Center for Asian Studies at Rice University. This collection includes audio recordings and transcripts of interviews with Asian Americans native to or living in Houston.Poonam and Atul Salhotra met each other through their parents in an arranged marriage. Their first two meetings were with both of their families, and the third time being on their wedding day. They have been married for 33 years as of this interview. They have one son and one daughter who are both in their early 20s.
In this interview for the podcast “Modern Asian in Love” (working title), they spoke of their experiences and understanding of love, relationship and marriage. They also shared some of their disagreements on issues, such as surrounding whether the wife should work full-time or devote to the caretaking of the family; but Mr. Salhotra respected Mrs. Salhotra’s wish to pursue her career in teaching full-time. With the same level of understanding and embraciveness in the family, the couple also respected and supported their children’s decisions in their career and life choices, while not necessarily agree with them. However, the parents are proud of their children being independent and confident in their own choices
Conditional models for 3D human pose estimation:
Human 3d pose estimation from monocular sequence is a challenging problem, owing to highly articulated structure of human body, varied anthropometry, self occlusion, depth ambiguities and large variability in the appearance and background in which humans may appear. Conventional vision based approaches to human 3d pose estimation mostly employed "top-down methods", which used a complete 3d human model, in a hypothesized pose, to explain the configuration of the humans in the observed 2d image. In this thesis, we work with "bottom-up methods" for human pose estimation, that use low level image features to directly predict 3d pose. The research draws on recent innovations in statistical learning, observation-driven modeling, stable image encodings, semi-supervised learning and learning perceptual representations. We address the problems of (a) modeling pose ambiguities due to 3d-to-2d projection and self occlusion, (b) lack of sufficient labeled data for training discriminative models and (c) high dimensionality of human 3d pose state space. In order to resolve 3d pose ambiguities, we use multi-valued functions to predict multiple plausible 3d poses for an image observation. We incorporate unlabeled data in a semi-supervised learning framework to constrain and improve the training of discriminative models. We also propose generic probabilistic Spectral Latent Variable Models to efficiently learn low dimensional representations of high dimensional observation data and apply it to the problem of human 3d pose inference.Ph.D.Includes bibliographical references (p. 182-193)by Atul Kanauji
Mutual information relevance networks : functional genomic networks built from pair-wise entropy measurements
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Thesis (S.M.)--Harvard--Massachusetts Institute of Technology Division of Health Sciences and Technology, 2002.Includes bibliographical references (leaves 27-28).by Atul Janardhan Butte.Thesis (S.M.)--Harvard--Massachusetts Institute of Technology Division of Health Sciences and Technology, 2002
Julie Popel, Jackie Montana, Atul Mathu, Matt Ruppel, Herb Ehlers
Junior Class/Alumni Lunch. L-R Julie Popel, Jackie Montana, Atul Mathu, Matt Ruppel, Herb Ehlers \u276
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