applied information technology graduate programs

Aisha Behr leverages dual roles in industry and academia to advance deep learning

Teresa Donnellan — Wed, 08 Jan 2025 15:17:30 +0000

Aisha Behr leverages dual roles in industry and academia to advance deep learning Teresa Donnellan Wed, 01/08/2025 - 10:17

With degrees from ��AV in civil engineering, systems engineering, and earth systems and geoinformation sciences, alumna Aisha Behr’s path to becoming a leader in artificial intelligence (AI) and machine learning is as diverse as it is inspiring. Now a director for the AI and machine learning business units at CGI, Behr also serves as an adjunct professor in George Mason’s Department of Information Sciences and Technology (IST), teaching applied information technology (AIT) classes in machine learning and deep learning.

Behr started her career in government contracting, where she first encountered the burgeoning field of data science.

Her work required her to apply data science techniques to geospatial analysis, sparking a deep interest in the subject. While working full-time, Behr pursued a PhD in earth systems and geoinformation sciences at George Mason. Her dissertation, which aimed to improve the SVD algorithm with spatial statistics, highlighted her innovative approach to integrating machine learning with spatial data.

Aisha Behr. Photo provided

While balancing her professional career with her academic pursuits, Behr found a new calling in teaching, starting as an adjunct after completing her PhD in 2020. Her industry experience proves invaluable in the classroom, allowing her to offer students a unique perspective on the practical applications of their studies.

"I wanted to make sure that students had a really good process and experience through the whole course," said Behr. By providing code templates and practical assignments, she ensures that students can confidently apply what they learn in the AI and machine learning field.

Behr's teaching philosophy is centered around making complex concepts accessible and engaging. She developed the courses AIT 636 Interpretable Machine Learning and AIT 746 Applied Deep Learning to emphasize hands-on learning.

“Dr. Behr has been an exemplary adjunct in the IST department, playing a critical role in developing our new applied AI technologies concentration for the master’s in AIT program, as well as several graduate courses,” said Ioulia Rytikova, an IST professor and the director of the master’s program in AIT.

Behr is excited about the potential of generative AI and other emerging technologies. She will continue integrating such advancements into her teaching, possibly through guest lectures and hands-on labs.

"I want our students to be able to have exposure to these very, very new technologies," she emphasized, noting that she likes to demonstrate to students how keeping up with technology can give them a competitive edge in their careers.

"I enjoy learning new concepts,” said Behr. “Being able to show a student that you can learn and then accelerate your career is why I like it so much."

Behr’s journey is a powerful example of how passion, adaptability, and a commitment to education can lead to a fulfilling and impactful career. Her dedication to bridging industry and academia ensures that her students are well-prepared to navigate and excel in the ever-evolving field of AI and machine learning.

Learn more about Information Sciences and Technology at George Mason

In This Story

Ioulia Rytikova

Topics

information sciences and technology

Artificial Intelligence

applied information technology graduate programs

Machine Learning

Adjunct Faculty

Alumni

IT master's student speaks at AWS Imagine EDU

Anonymous — Wed, 06 Oct 2021 14:08:36 +0000

IT master's student speaks at AWS Imagine EDU Anonymous (not verified) Wed, 10/06/2021 - 10:08

In This Story

Kamaljeet Sanghera

Master's student Maya Chatterjee (third from left) discussed cloud computing with students from other universities across the country at the AWS Imagine: EDU conference.

During the closing session of the Amazon Web Services (AWS) Imagine EDU conference in September, students from AWS Cloud Innovation Centers and AWS education programs discussed their educational experiences.

In front of an audience of nearly 300 people, applied information technology master’s student Maya Chatterjee joined speakers from Arizona State University and California Polytechnical Institute. The students were on hand to talk about their programs, discuss their experiences leveraging technology, and share how they were making a difference in their communities.

“I really appreciate that I got the platform to be able to speak about cloud computing education for higher education. I am passionate about getting minorities in cloud computing and technology, and it was encouraging to hear that there are educators who are eager to support this initiative,” says Chatterjee.

As the catalyst for Mason’s first Cloud Computing Conference last fall, Chatterjee says she’s been inspired to see how much her knowledge of cloud computing has accelerated her career and wanted to provide those same opportunities for others.

“My first AWS internship gave me the confidence to create an innovative solution and to constantly reinvent. I created four different solutions before the last one was finally approved and accepted,” she says. In her second internship, she learned a variety of new technologies and used machine learning and data analytics tools to help automate stress testing of a natural language processing tool. 

“Maya’s exceptional work ethic and professionalism are the kinds of attributes employers value,” says Kamaljeet Sanghera, executive director of the Institute for Digital InnovAtion. “Not only has Maya successfully applied her knowledge in two internships, but she is also a wonderful advocate for women and underrepresented groups in STEM. We know we will be hearing more about her.”