CEA Research Clusters

Artificial Intelligence and Machine Learning are redefining how organizations harness data to drive efficiency, innovation, and strategic advantage. By leveraging advanced algorithms, statistical modeling, and scalable computing, we build intelligent systems capable of uncovering patterns, automating complex processes, and generating predictive insights. Our end-to-end approach spans data engineering, model development, deployment, and continuous optimization, ensuring solutions are robust, secure, and adaptable to evolving mission and business needs. The result is AI that not only delivers measurable impact but also integrates seamlessly into existing operations, empowering missions or organizations to make faster, smarter decisions. The following faculty have been actively working on this topic, contributing their expertise and advancing research in this area.

• Chunmei Liu
• Claudia Marin
• Dan Feng
• Danda B. Rawat
• Eric Seabron
• Gloria Washington
• Imtiaz Ahmed
• Jiang Li
• Legand L. Burge III
• Sanjana Hossain
• Sanjib Sharma
• Sara Kamanmalek
• Su Yan

Our research in cybersecurity, privacy, and resilience focuses on building systems that are secure by design, adaptive under stress, and trustworthy in the face of evolving threats. We develop advanced techniques in threat detection, cryptography, secure architecture, and privacy-preserving computation to protect data and critical infrastructure across diverse environments. Emphasizing resilience, we design and evaluate systems that can anticipate, withstand, recover from, and adapt to disruptions - whether from cyberattacks, system failures, or adversarial conditions. By integrating rigorous analysis with real-world application, our work advances the state of the art while enabling organizations to operate securely, maintain continuity, and safeguard sensitive information in an increasingly complex digital landscape. The following faculty have been actively working on this topic, contributing their expertise and advancing research in this area.

• Charles Kim
• Danda B. Rawat
• Hassan Salmani
• Imtiaz Ahmed
• Jiang Li
• Legand L. Burge III
• Wenjie Che

Our research in Advanced Manufacturing focuses on developing next-generation processes, materials, and intelligent systems that enhance precision, efficiency, and scalability in production environments. We integrate digital technologies such as automation, data analytics, and smart sensing with advanced fabrication methods—including additive manufacturing and hybrid processes—to enable highly adaptable and optimized manufacturing systems. Emphasizing quality, sustainability, and resilience, our work explores real-time monitoring, process control, and digital twins to improve performance and reduce waste. By bridging fundamental research with industrial application, we aim to transform manufacturing into a more agile, data-driven, and robust ecosystem capable of meeting the demands of modern industry. The following faculty have been actively working on this topic, contributing their expertise and advancing research in this area.

• Anqi Ji
• Dan Feng
• Gbadebo Owolabi
• John Odhiambo Onyango

Our research in Environmental Science and Sustainability focuses on understanding and addressing the complex challenges of climate change, resource management, and ecological resilience. We develop innovative solutions that integrate data-driven modeling, environmental monitoring, and sustainable technologies to minimize human impact and promote long-term ecological balance. Emphasizing renewable energy, circular economy practices, and conservation strategies, our work seeks to inform policy, guide responsible industry practices, and empower communities to make sustainable choices. By combining rigorous scientific research with practical applications, we aim to create systems and strategies that support a healthier planet for current and future generations. The following faculty have been actively working on this topic, contributing their expertise and advancing research in this area.

• Anqi Ji
• Cristiano Reis
• John Odhiambo Onyango
• John Tharakan
• Kimberly Jones
• Sanjib Sharma
• Sara Kamanmalek
• Solmaz Tabtabaei

Our research in Quantum Information Science and Engineering explores the frontiers of computing, communication, and sensing by harnessing the principles of quantum mechanics. We design quantum algorithms, architectures, and devices that push the limits of computational power, security, and precision, with applications spanning cryptography, optimization, and materials discovery. One of the key focuses include Quantum Machine Learning (QML), which combines quantum computing with advanced learning techniques to enable faster, more efficient data processing and pattern recognition beyond classical capabilities. By integrating theoretical foundations with experimental implementation, our research advances the development of scalable, robust, and practical quantum systems while opening new avenues for innovation across science and engineering. The following faculty have been actively working on this topic, contributing their expertise and advancing research in this area.

• Danda B. Rawat
• Eric Seabron
• Su Yan
• Tepper L. Gill

Our research in Next-Generation Wireless Systems and Networking focuses on designing and implementing advanced communication technologies that meet the demands of ultra-fast, reliable, and secure connectivity. We explore cutting-edge areas such as 5G/6G networks, edge computing, IoT integration, spectrum optimization, and intelligent network architectures to enable seamless data transmission and low-latency applications. Emphasizing scalability, energy efficiency, and resilience, our work develops innovative protocols, adaptive algorithms, and network management solutions that support emerging applications in smart cities, autonomous systems, and immersive media. By bridging theoretical research with practical deployment, we aim to advance the next era of wireless communication, empowering connected societies and future digital infrastructures. The following faculty have been actively working on this topic, contributing their expertise and advancing research in this area.

• Danda B. Rawat
• Imtiaz Ahmed
• Jiang Li

Our research in Biotechnology focuses on leveraging biological systems, molecular tools, and engineering approaches to address critical challenges in health, agriculture, and the environment. We explore areas such as genetic engineering, synthetic biology, bioinformatics, and bioprocessing to develop innovative solutions for disease treatment, sustainable production, and environmental remediation. By integrating cutting-edge research with practical applications, we aim to advance biotechnology that is both impactful and responsible, driving scientific discovery and societal benefit. The following faculty have been actively working on this topic, contributing their expertise and advancing research in this area.

• Cristiano Reis
• John Tharakan
• Solmaz Tabtabaei

Our research in Semiconductors and Materials focuses on developing advanced materials and devices that drive innovation in electronics, photonics, and energy technologies. We investigate novel semiconductors, nanomaterials, and fabrication techniques to enhance performance, efficiency, and scalability. By combining experimental studies with computational modeling, our work aims to create materials and devices that enable next-generation technologies in computing, communication, and sustainable energy solutions. The following faculty have been actively working on this topic, contributing their expertise and advancing research in this area.

• Dan Feng
• Hassan Salmani
• Wenjie Che
• Anqi Ji
• Gbadebo Owolabi
• Kellie Farster
• Nikolai Priezjev
• Solmaz Tabtabaei

Our research in Intelligent Transportation Systems and Air & Ground Mobility focuses on creating smart, connected, and efficient transportation solutions. We explore advanced traffic management, autonomous vehicles, air mobility, and multimodal transportation networks to enhance safety, reliability, and sustainability. By integrating sensors, data analytics, and AI-driven decision-making, our work aims to optimize mobility, reduce congestion, and support the development of next-generation air and ground transportation systems. The following faculty have been actively working on this topic, contributing their expertise and advancing research in this area.

• Danda B Rawat
• Nadir Yilmaz
• Sanjana Hossain

Our Interdisciplinary Research program brings together expertise from diverse fields to tackle complex, real-world challenges that cannot be addressed by single discipline alone. By integrating perspectives from science, engineering, social sciences, and technology, we foster innovative solutions that drive discovery, advance knowledge, and create societal impact. This collaborative approach enables us to explore new frontiers, bridge gaps between theory and application, and develop transformative solutions that are both holistic and practical. The following faculty have been actively working on this topic, contributing their expertise and advancing research in this area.

• Anqi Ji
• Chunmei Liu
• Claudia Marin
• Cristiano Reis
• Dan Feng
• Danda B. Rawat
• Farhana Ferdous
• Gloria Washington
• Girum Urgessa
• John Odhiambo Onyango
• John Tharakan
• Legand L. Burge III
• Nadir Yilmaz
• Robert E. Efimba
• Sanjana Hossain
• Sanjib Sharma
• Solmaz Tabtabaei
• Su Yan
• Tepper L. Gill
• Wenjie Che