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Department of Systems Engineering Research

Research with real-world applicability is a core part of the Department of Systems Engineering. From resilient infrastructure and healthcare systems to wireless broadband and cybersecurity, our work blends academia, government, and industry. These collaborations foster innovations that translate into solutions for today’s complex challenges.

Graduate Studies: Flexible, Supported, Connected

Graduate studies in Stevens’ Department of Systems Engineering integrate engineering, systems, and management, preparing students for complex challenges in design, development, and innovation while connecting them to New York’s industry opportunities.

Systems Engineering Graduate Studies
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Leading What's Next

Explore how Stevens is pushing the boundaries of Systems Engineering research—driving breakthroughs in design, innovation, and complex problem-solving.

Ying Wang and a group of students inspect a drone.

Associate Professor Ying Wang’s $1.19M DARPA Award Could Help Make AI More Energy Efficient

Ying Wang is developing energy-aware machine learning systems that can predict the power cost of AI decisions before they are made. Backed by a $1.19 million DARPA award, her research could help drones, robots and other battery-powered technologies maximize performance while operating within real-world energy constraints.

A photograph of the Hubble Space Telescope floating in outer space.

Stevens Team Sets Its Sights on a Revolutionary Approach to Extend the Life of the Hubble Space Telescope

Could a ring of nanosatellites give the Hubble Space Telescope a second life? Stevens-led research proposes a low-cost “smart exoskeleton” to overcome Hubble’s aging gyroscopes, helping this pioneering observatory continue producing groundbreaking science for years to come.

Studies Investigate How AI Can Aid Clinicians in Analyzing Medical Images

Studies Investigate How AI Can Aid Clinicians in Analyzing Medical Images

AI has emerged as a powerful tool for analyzing medical images, but its value depends on whether clinicians trust it. Studies of oncologists and radiologists who interpret breast cancer images have found that trust is shaped not just by accuracy, but by how AI presents information and supports decision-making.

Research Areas

Click the names of faculty below each area to learn more about their research experience and expertise.

Artificial Intelligence and Data Science

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  • Eman Alomar: Software quality, NLP, mining repositories, and Technical Depth, AI/ML for refactoring, maintenance, and evolution of software projects.

  • Sang Won Bae: AI for personal health, explainable AI for clinical support, multimodal sensing.

  • Ting Liao: Human-AI teaming, adaptive systems, trust in AI.

  • Carlo Lipizzi: AI, NLP, data science, large language models, knowledge representation, predictive AI, social media analytics, data storytelling, AI-augmented decision support.

  • Feng Liu: Epileptic brain networks, deep learning for apnea detection, brain stimulation devices, melanoma recurrence prediction.

  • David Darian Muresan: Data collection and analysis from sensors, AI, image processing.

  • Lu Xiao: AI-Assisted tools for software performance optimization, Testing and Validation

Complex Systems and Space Engineering

satellite above Earth.

  • Hao Chen: Space logistics, quantum computing, space healthcare.

  • Roshi Nilchiani: Complexity science, distributed AI for space systems, obsolescence management.

Defense Systems and Acquisition Innovation

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  • Philip Anton (SERC/AIRC): Digital transformation of defense acquisition, digital data management and analytics

  • Thomas McDermott (SERC/AIRC): Trusted AI systems, Digital engineering, Cost and Risk, Process Optimization

  • Dinesh Verma (SE & SERC/AIRC): Systems Engineering for Digital Age, Acquisition Innovation, Systems Engineering Practice

Human Factors, Health, and Rehabilitation Technologies

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  • Onur Asan: Organizational initiatives to transform ambulatory and hospital work, patient centered care/communication care coordination and workflow, patient outcomes

  • Oluwafemi Richard Oyeleke: Activity monitoring, mHealth, virtual reality for health rehabilitation.

  • Sang Won Bae: AI for personal health, explainable AI for clinical support, multimodal sensing.

  • Feng Liu: Epileptic brain networks, deep learning for apnea detection, brain stimulation devices, melanoma recurrence prediction.

Infrastructure and Resilience

aerial view of city with interconnecting nodes.

Systems Autonomy, Assurance, and Resilience

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  • Yasser Morgan: Quality of Service, Mobile networks, localized services, security and assurance.

  • Valerie Sitterle (SERC): Security in cyber physical systems, resilient systems, tradespace and affordability,

  • Ying Wang: Space logistics, quantum computing, space healthcare.

Systems Architecture, Design, and Optimization

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  • Amro M. Farid: Modeling, simulation, data analytics, artificial intelligence, machine learning, optimization, decision, and control systems for intelligent multi-energy engineering systems.

  • Mo Mansouri: Conceptual models and frameworks optimization for systems governance, policies, multi-agent systems. Value chains.

  • Philip Odonkor: Energy systems design, cyber-physical-social systems, cooperative intelligence in multi-agent systems.

  • Kishore Pochiraju: Robotic and Cyber Physical Systems, AI/ML for Design, Digital Twins, Manufacturing and Supply Chains, Lightweight Material Systems for Aerospace.

  • Ali Yassine: Mathematical modeling, data analytics, project management, technology and innovation management

Acquisition Innovation Research Center

The Acquisition Innovation Research Center (AIRC) was established in September 2020 by the Department of Defense (DoD) to infuse the innovation and alternative methods needed to better respond to the rapid increase of technological advancements critical to today’s warfighter.

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Research at the Leading Edge

The goal of the Center for Complex Systems and Enterprises (CCSE) is to enable insight and value gained from exploring real and computationally imagined complex systems. CCSE creates methods, practices and tools while incorporating existing approaches and solutions.

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Systems Engineering Research Center

The Systems Engineering Research Center (SERC) is a University-Affiliated Research Center (UARC) of the United States Department of Defense. Begun in 2008 and led by Stevens, SERC is a national resource providing a critical mass of systems engineering researchers.