Akram Bayat

Research interests and focus

• Human-centered artificial intelligence
• AI applications in healthcare
• UX/UI design for intelligent systems
• Prompt engineering

Akram Bayat’s research is dedicated to advancing human-centered artificial intelligence that empowers people through intuitive, ethical, and impactful technology. Dr. Bayat focuses on bridging AI innovations with healthcare applications, user experience design, and automation to create systems that enhance human decision-making and well-being. By integrating insights from human-computer interaction and AI, she aims to develop intelligent tools that are both powerful and accessible, driving real-world positive change.

Education

• PhD in Computer Science, University of Massachusetts Boston

Biography

Akram Bayat is an assistant teaching professor at the Khoury College of Computer Sciences at Northeastern University, based in Silicon Valley. An AI scientist and educator passionate about advancing technology and shaping the next generation of innovators whose expertise spans artificial intelligence, machine learning, computer vision, human-computer interaction, and healthcare, she merges cutting-edge research with hands-on teaching to prepare students for real-world impact.

Her research journey began as a Postdoctoral Associate at the MIT Media Lab, where she explored novel intersections between engineering, medical imaging, AI, and HCI to create high-impact, patient-centered solutions. She then served as a Data Science Fellow at Innovate for Health, a joint initiative of UC Berkeley, UCSF, and Johnson & Johnson, applying advanced computational methods to solve critical healthcare challenges. She earned her PhD in Computer Science from the University of Massachusetts Boston, developing innovative machine learning algorithms and deep learning models for real-world applications.

Bayat leads the Human-Centered AI Lab at Northeastern University’s Silicon Valley campus, where her team conducts interdisciplinary research focused on designing AI systems that prioritize human needs and experiences. Students and collaborators interested in research opportunities are encouraged to visit the lab’s website to learn more.

Her teaching philosophy is rooted in empowering students to design human-centered computing solutions, integrating UX/UI design principles with AI-driven innovation. She fosters collaboration, creativity, and critical thinking, equipping students to thrive in the fast-moving technology landscape of Silicon Valley and beyond.

Recent publications