School of Engineering

Showing 11-20 of 42 Results

  • Michael Ohlrogge

    Michael Ohlrogge

    Ph.D. Student in Management Science and Engineering, admitted Spring 2012

    BioMichael Ohlrogge is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.

    Research Area: Finance and Economics and Joint JD Candidate

    Michael Ohlrogge produces innovative research at the intersection of law and finance, combining legal analysis with quantitative tools to tackle challenging issues that can only be addressed with a sophisticated, interdisciplinary approach. His research played a significant role in the decision by the United States Securities and Exchange Commission (SEC) to propose that public companies be allowed to comply with Dodd-Frank requirements to disclose median employee compensation by using statistical sampling techniques, reducing by orders of magnitude the compliance costs that firms face due to the new regulations.

    Michael is currently studying ways that changes in state-level anti-predatory lending laws during the early and mid 2000s impacted the subprime securitization market. I am also researching ways that stochastic models of corporate bond default risk can be improved by incorporating information about changes in the bankruptcy laws corporations are subject to. Ultimately, his research seeks to build a better understanding of ways that legal changes impact financial markets, with a focus on systemic risk.

    His areas of expertise include the following:
    - Dodd-Frank
    - Estimation of Median Employee Compensation and CEO Pay Ratio
    - Statistical Sampling
    - Statistical Analysis
    - Financial Regulation
    - Systemic Risk

  • Allison Okamura

    Allison Okamura

    Professor of Mechanical Engineering and, by courtesy, of Computer Science

    Current Research and Scholarly InterestsMy research focuses on developing the principles and tools needed to realize advanced robotic and human-machine systems capable of physical interaction. Application areas include surgery, simulation and training, rehabilitation, prosthetics, neuromechanics, exploration of hazardous and remote environments (e.g. space), design, and education.

  • Erik Carl Anders Olesund

    Erik Carl Anders Olesund

    Adjunct Lecturer,

    BioErik Olesund, is a strategic designer, user experience researcher, and improvisor. He studies, teaches, and uses design thinking to create a world where human-made systems and institutions serve people (and not the other way around).

    He previously served as a Lecturer, Teaching Fellow, and Global Program Manager at the Hasso Plattner Institute of Design (the at Stanford University. At the he taught human-centered design to students from all over campus, with a specific emphasis on its applications in government and the social impact sector. He also managed the's Global program and led their experimentation with mobile media learning experiences.

    Today he works as a design consultant at Collective Capital, helping organizations implement design thinking and use it to uncover the problems that matter most to their constituents. He continues to regularly teach at the and beyond.

    Erik holds a MSc in Management Science & Engineering from Stanford University and a BSc in Industrial Engineering and Management from Chalmers University.

  • Kunle Olukotun

    Kunle Olukotun

    Cadence Design Systems Professor and Professor of Electrical Engineering

    BioKunle Olukotun is the Cadence Design Systems Professor in the School of Engineering and Professor of Electrical Engineering and Computer Science at Stanford University. Olukotun is well known as a pioneer in multicore processor design and the leader of the Stanford Hydra chip mutlipocessor (CMP) research project. Olukotun founded Afara Websystems to develop high-throughput, low-power multicore processors for server systems. The Afara multicore processor, called Niagara, was acquired by Sun Microsystems. Niagara derived processors now power all Oracle SPARC-based servers. Olukotun currently directs the Stanford Pervasive Parallelism Lab (PPL), which seeks to proliferate the use of heterogeneous parallelism in all application areas using Domain Specific Languages (DSLs).