CMU Engineering Dean Honored for Global Edu Vision

  • By Paul McCloskey
  • 04/03/07
Pradeep Khosla, dean of Carnegie Mellon University's College of Engineering, was given the "Cyber Education Champion Award" from the Business Software Alliance, an association of software companies.

The award recognizes those who have "demonstrated exceptional skill and commitment in teaching students and educators about the importance of technology innovation, cyber ethics, and intellectual property issues."

Khosla, considered an authority on cybersecurity, innovation, and competitiveness, said his college's "vision is that future engineers must be able to enable, create, manage, and deploy innovation in a multinational, distributed environment." Khosla was also recognized for his focus on new approaches to managing the research and development relationship between universities and industry.

Carnegie Mellon Provost Mark Kamlet praised Khosla for being at the forefront of engineering education  and for "deploying innovative educational initiatives that will create the comparative advantage we seek as a university, and this award is a wonderful reminder of his outstanding academic leadership.'

In addition to his position as dean, Khosla is a professor of engineering and computer science and founding co-director of Carnegie Mellon's CyLab, a university-wide, multidisciplinary project that involves about 200 faculty, students, and staff that builds on more than two decades of Carnegie Mellon's leadership in information technology.

Khosla is credited with doubling the enrollment of Carnegie Mellon's Information Networking Institute. He also created the Master of Science program in Information Security Technology and Management and developed international graduate student programs with the Athens Information Technology Institute in Athens, Greece and with Cylab Korea and Cylab Japan.

Khosla was a member of a committee that created a new four-year undergraduate electrical and computer engineering curriculum at Carnegie Mellon. He also proposed the idea of teaching engineering to freshmen—an idea that has since been adopted widely by both U.S. and international universities.

Read More:

About the Author

Paul McCloskey is contributing editor of Syllabus.

Featured

  • futuristic crystal ball with holographic data projections

    Call for Opinions: 2025 Predictions for Higher Ed IT

    How will the technology landscape in higher education change in the coming year? We're inviting our readership to weigh in with their predictions, wishes, or worries for 2025.

  • cloud icon connected to a data network with an alert symbol (a triangle with an exclamation mark) overlaying the cloud

    U.S. Department of Commerce Proposes Mandatory Reporting Requirement for AI, Cloud Providers

    This proposed rule from the department's Bureau of Industry and Security aims to enhance national security by establishing reporting requirements for the development of advanced AI models and computing clusters.

  • person signing a bill at a desk with a faint glow around the document. A tablet and laptop are subtly visible in the background, with soft colors and minimal digital elements

    California Governor Signs AI Content Safeguards into Law

    California Governor Gavin Newsom has officially signed off on a series of landmark artificial intelligence bills, signaling the state’s latest efforts to regulate the burgeoning technology, particularly in response to the misuse of sexually explicit deepfakes. The legislation is aimed at mitigating the risks posed by AI-generated content, as concerns grow over the technology's potential to manipulate images, videos, and voices in ways that could cause significant harm.

  • glowing AI symbol integrated into a stylized cloud icon, surrounded by interconnected digital nodes and translucent security shields, set against a gradient white-to-blue background with grid lines and abstract risk charts

    Cloud Security Alliance Report Plots Path to Trustworthy AI

    A new report from the Cloud Security Alliance highlights the need for AI audits that extend beyond regulatory compliance, and advocates for a risk-based, comprehensive methodology designed to foster trust in rapidly evolving intelligent systems.