Institute for Computational and Mathematical Engineering (ICME)
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Professor of Electrical Engineering and, by courtesy, of Education
BioOsgood is a mathematician by training and applies techniques from analysis and geometry to various engineering problems. He is interested in problems in imaging, pattern recognition, and signal processing.
Henry Dreyfus Professor of Chemistry and Professor, by courtesy, of Structural Biology
Current Research and Scholarly InterestsThe central theme of our research is to develop and apply novel theoretical methods to understand the physical properties of biological molecules, such as proteins, nucleic acids, lipid membranes, and small molecule therapeutics (eg protein folding or lipid vesicle fusion). As these phenomena are complex, my research employs novel theoretical and computational techniques. We apply these methods to develop novel therapeutics for protein misfolding diseases, such as Alzheimer's Disease.
Professor (Research) of Electrical Engineering, Emeritus
BioProfessor Emeritus Arogyaswami Paulraj, Stanford University, is a pioneer of MIMO wireless communications, a technology break through that enables improved wireless performance. MIMO is now incorporated into all new wireless systems.
Paulraj is the author of over 400 research papers, two text books and a co-inventor in 66 US patents.
Paulraj has won over a dozen awards, notably the Marconi Prize and Fellowship, 2014 and the IEEE Alexander Graham Bell Medal, 2011. He is a fellow of eight scientific / engineering national academies including the US, China, India and Sweden. He is a fellow of IEEE and AAAS.
In 1999, Paulraj founded Iospan Wireless Inc. - which developed and established MIMO-OFDMA wireless as the core 4G technology. Iospan was acquired in by Intel Corporation in 2003. In 2004, he co-founded Beceem Communications Inc. The company became the market leader in 4G-WiMAX semiconductor and was acquired by Broadcom Corp. in 2010. In 2014 he founded Rasa Networks to develop Machine Learning tools for WiFi Networks. The company was acquired HPE in 2016.
During his 30 years in the Indian (Navy) (1961-1991), he founded three national level laboratories in India and headed one of India’s most successful military R&D projects – APSOH sonar. He received over a dozen awards (many at the national level) in India including the Padma Bhushan, Ati Vishist Seva Medal and the VASVIK Medal.
Assistant Professor of Aeronautics and Astronautics and, by courtesy, of Electrical Engineering
BioDr. Marco Pavone is an Assistant Professor of Aeronautics and Astronautics at Stanford University, where he also holds courtesy appointments in the Department of Electrical Engineering, in the Institute for Computational and Mathematical Engineering, and in the Information Systems Laboratory. He is a Research Affiliate at the NASA Jet Propulsion Laboratory (JPL), California Institute of Technology. Before joining Stanford, he was a Research Technologist within the Robotics Section at JPL. He received a Ph.D. degree in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 2010. Dr. Pavone’s areas of expertise lie in the fields of controls and robotics.
Dr. Pavone is a recipient of a NASA Early Career Faculty award, a Hellman Faculty Scholar Award, and was named NASA NIAC Fellow in 2011. At JPL, Dr. Pavone worked on the end-to-end optimization of the mission architecture for the Mars sample return mission. He has designed control algorithms for formation flying that have been successfully tested on board the International Space Station.
Dr. Pavone is the Director of the Autonomous Systems Laboratory (ASL). The goal of ASL is the development of methodologies for the analysis, design, and control of autonomous systems, with a particular emphasis on large-scale robotic networks and autonomous aerospace vehicles. The lab combines expertise from control theory, robotics, optimization, and operations research to develop the theoretical foundations for networked autonomous systems operating in uncertain, rapidly-changing, and potentially adversarial environments. Theoretical insights are then used to devise practical, computationally-efficient, and provably-correct algorithms for field deployment. Applications include robotic transportation networks, sensor networks, agile control of spacecraft during proximity operations, and mobility platforms for extreme planetary environments. Collaborations with NASA centers are a key component of the research portfolio.
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioI am a first year Master's student in the Data Science Track of ICME. I graduated from McGill University in 2015 with a Bachelor of Science degree in Applied Mathematics. Upon graduation, I sought out an internship opportunity at Picton Mahoney Asset Management. I worked closely with one of their quantitative analysts, helping with the development of his analytical toolbox and creating new database scrubbing programs. At the end of my internship, I was offered a position with the Quantitative Infrastructure team. This experience opened my eyes to the profound impact that data science can have in industry. Seeking new opportunities I was driven to Stanford where I hope to enrich my knowledge of data science while discovering and gaining access to new socially responsible careers within the field of big data.