Research Areas

Cyberphysical Systems and IoT

Today, our phones, televisions, refrigerators, and more can send, receive, and act on data. This interconnection via the Internet of computing devices in everyday objects is called the "Internet of Things" (IoT). 

Cyberphysical systems (CPS) include the interconnection of IoT, but place an emphasis on integration with physical processes and real-time responses. Think self-driving cars and automated medical equipment. 

SCI faculty conduct research on CPS and IoT to improve how these devices function and ultimately how they can better help people and communities. 

Research Highlights

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Teaching Old Sensors New Tricks: How New Tech Empowers Your Healthcare

The paper by Assistant Professor Longfei Shangguan and his interdisciplinary research team introduces Asclepius, a novel medical device that repurposes recycled earphones as digital stethoscopes to enhance remote healthcare.

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Dr. Jacob Biehl Is Building Systems That Reshape Space

For Dr. Biehl, technical rigor and the usability needs of the people operating a system are not separate considerations. They're two organizing principles to how he approaches his research.

Affiliated Faculty
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Amy Babay, Assistant Professor

Dr. Babay's general research interests are in distributed systems and networking, with particular interests in building dependable critical infrastructure systems and enabling new internet services with demanding performance requirements. 

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Jacob Biehl, Associate Professor

Dr. Biehl’s research interests are at the intersection of systems and human computer interaction (HCI).  Most recently, his work has centered on designing, deploying, and evaluating IoT technologies that address important issues in workflow and work practice.

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Bruce Childers, Dean

Dr. Childers does research on software-hardware boundary for improved energy, performance, reliability, and robustness, with an emphasis on embedded systems, including the Internet of Things.

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Panos Chrysanthis, Professor

Dr. Chrysanthis' research interests lie within the areas of data management (Big Data, Databases, Data Streams & Sensor networks), distributed & mobile computing, workflow management, operating systems and real-time systems.

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Milos Hauskrecht, Professor

Dr. Hauskrecht's current research work explores new models and methods for time series analysis; low dimensional representations and summarizations of time series, structured active learning, planning and reinforcement learning.

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Ahmed Ibrahim, Teaching Associate Professor

Dr. Ibrahim currently teaches courses with a focus on Cybersecurity. He is passionate about enhancing and improving cybersecurity education and is actively developing hands-on cybersecurity content. 

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Xiaowei Jia, Associate Professor

Dr. Jia's research interests include physics-guided data science, spatio-temporal data mining, deep learning, and remote sensing. 

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Sherif Khattab, Teaching Assistant Professor

Dr. Khattab's research focuses on the systems aspects of cybersecurity as applied to cloud computing, Internet-of-Things, electronic voting, and Big Data.

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Stephen Lee, Assistant Professor

Dr. Lee's research interests lie broadly in the area of distributed systems and cyber-physical systems (CPS), with an emphasis on sustainability. 

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Daniel Mosse, Professor

Dr. Mosse's main research interest is in the allocation of resources (computing and network resources) in the realm of real-time, with main concerns being power management, security, and fault tolerance.

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Luis de Oliveira, Teaching Assistant Professor

Dr. Oliveira's current research interests are preservation and reproducibility of software-driven experimental workflows, real-time systems, and RF-based localization.

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Longfei Shangguan, Assistant Professor

Dr. Shangguan’s research interests are in all aspects of IoT systems: from building novel IoT applications, solving security issues, all the way down to optimizing the network stack and designing low-power IoT hardware.

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Pengfei Zhou, Assistant Professor

Dr. Zhou's research interests include the Artificial Intelligence of Things, mobile and networked sensing, and mobile networks.