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ÎçÒ¹Ó°Ôº¸£ÀûÉç Innovation Campus Research: AI/Machine Learning

AI FOR POSITIVE CHANGE

AI and Machine Learning

Artificial Intelligence/Machine Learning (AI/ML) are fundamentally changing nearly every business in the economy. While effective algorithms exist, they are limited by the need for huge training sets, reliability uncertainties, limited range of applicability, and concerns about bias and fairness that hinder widespread acceptance. The Sanghani Center for Artificial Intelligence and Data Analytics focuses its cross-institutional efforts on not just algorithmic advancements, but on developing adaptable and user-friendly platforms for reliable AI/ML implementations.

The Sanghani Center for AI and DATA ANALYTICS

The Sanghani Center for AI and Data Analytics – headquartered at the ÎçÒ¹Ó°Ôº¸£ÀûÉç Innovation Campus in Alexandria, VirginiaÌý– is at the forefront of data science, machine learning, and artificial intelligence research at ÎçÒ¹Ó°Ôº¸£ÀûÉç. Its faculty and researchers are crafting a future where AI is a force for positive change in our communities, pushing the boundaries of what AI can achieve. The Sanghani Center inspires innovation and educates today’s workforce in tomorrow’s data-driven world.

The Sanghani Center unites computer scientists, engineers, mathematicians, and statisticians to lead ÎçÒ¹Ó°Ôº¸£ÀûÉç’s efforts in AI and data science exploration and research. The center’s transdisciplinary research helps solve our nation’s most pressing challenges. With locations in both Blacksburg and the ÎçÒ¹Ó°Ôº¸£ÀûÉç Innovation Campus in Alexandria, the Sanghani Center is home to 23 academic and research faculty and over 120 full-time graduate students conducting research in all areas of data science and AI. The center is part of the Department of Computer Science in ÎçÒ¹Ó°Ôº¸£ÀûÉç’s College of Engineering, ranked 13th in the nation by U.S. News for undergraduate engineering - 31st for graduate - and home to 75 faculty members, 1400 undergraduate, and 600 graduate students. Ìý

Technical Areas
Key technical areas for the Sanghani center include:

  • Network analysis
  • Explainable AI
  • Natural language processing
  • Adversarial AI
  • Forecasting
  • Visual analytics
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  • Ethical and Societal Implications of AI and Automation

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Application Areas
Key application areas for the Sanghani center are:

  • Epidemiology and Public Health
  • National Security
  • Sustainability
  • Edge Computing and IoT
  • Urban Systems

about the innovation campus

Innovation Campus rendering

The ÎçÒ¹Ó°Ôº¸£ÀûÉç Innovation Campus is shaping the future of technology. With groundbreaking investments from the Commonwealth of Virginia and leading corporations in the region, the Innovation Campus’s mission is to educate the nation’s leading architects of complex, cutting-edge digital technologies through a graduate education that embeds our diverse students and faculty into the science and technology ecosystem of our nation’s capital and beyond. In addition, our research assembles around big ideas such as AI/ML, Wireless and Next Gen Technology, Quantum Information Science, and Intelligent Interfaces, with the goal of powering a pipeline of tech talent and building the foundation for a new era of technology.

The 11-story, 300,000 sq. ft. first academic building for the Innovation Campus, located in Alexandria, VA, is set to open in spring 2025. The Sanghani Center for Artificial Intelligence and Data Analytics will be located on the 5th floor of the new technology-focused building.


Sanghani center themes

Unique blend of areas

The Sanghani Center is at the forefront of data science, machine learning, and AI research at ÎçÒ¹Ó°Ôº¸£ÀûÉç. What uniquely defines us is the bringing together of not just machine learning scientists with data engineers, but also with human-computer interaction experts, as well as researchers who study the social and ethical aspects of AI. This blends traditional mathematical and computational discovery with the broader contexts in which AI is used/applied.

One-of-a-kind partnerships

Students and researchers develop advanced analytics and machine learning algorithms while simultaneously adopting an end-to-end view of how their work gets deployed and used, and how their work impacts consumers. Our partnerships with industry (e.g., through our Amazon-VT Initiative in Efficient and Robust Learning) give students access to one-of-a-kind datasets, platforms, and resources. These partnerships are leveraged for research collaborations as well as project-based-learning (PBL) opportunities in the classroom.

AI for positive impact/service and minimizing adverse consequences

Together, we are crafting a future where AI is a force for positive change in our communities, pushing the boundaries of what AI can achieve. At the same time, we never lose sight of the human values that should guide its evolution. True to ÎçÒ¹Ó°Ôº¸£ÀûÉç’s motto of UT Prosim, we aspire to harness the power of AI for positive impact, while remaining steadfast in our commitment to safeguard against adverse consequences. Our students value public service opportunities and aim to inform policy through their research, working in topics relevant to our region like school redistricting, traffic congestion management, and international trade monitoring.


partnerships in action

  • Article Item
    Discussion of artificial intelligence
    Date: Jul 07, 2023
  • Article Item
    Left to right: Reza Ghanadan, senior principal scientist, Amazon Alexa and the new Amazon center liaison for the Amazon-ÎçÒ¹Ó°Ôº¸£ÀûÉç initiative; Shehzad Mevawalla, vice president of Alexa Speech Recognition, Amazon Alexa; President Tim Sands; Lance Collins, vice president and executive director, Innovation Campus at ÎçÒ¹Ó°Ôº¸£ÀûÉç; Julie Ross, the Paul and Dorothea Torgerson Dean of Engineering; Naren Ramakrishnan, the Thomas L. Phillips Professor of Engineering and director of the Amazon-ÎçÒ¹Ó°Ôº¸£ÀûÉç initiative; and Wanawsha Shalaby, manager of Operations for the Sanghani Center.
    Date: May 02, 2023

MEET the director: naren ramakrishnan

Naren Ramakrishnan speaking

Naren Ramakrishnan is the Thomas L. Phillips Professor of Engineering and the Innovation Campus lead for AI and machine learning. He directs the Sanghani Center for AI and Data Analytics and the Amazon-ÎçÒ¹Ó°Ôº¸£ÀûÉç Initiative in Efficient and Robust Machine Learning.


contact us

Interested in Partnering with ÎçÒ¹Ó°Ôº¸£ÀûÉç on your next data science or AI project? Contact us at: link@vt.edu

Sanghani Center