Research
Research
Research Overview
The Department of Mechanical Engineering at Rowan University has an interdisciplinary research program. Our faculty and research staff partner with government laboratories and industries as well as other departments and colleges at Rowan University. These collaborative efforts lead to fundamental discoveries in various areas of science and engineering.
Major Research Areas
Advanced Manufacturing & Multifunctional Materials
This area focuses on the design, manufacturing, and optimization of materials that exhibit multiple functionalities, such as structural, chemical, thermal, and electrical properties. Research includes the development of multifunctional composites, advanced alloys and advanced manufacturing techniques, such as additive and hybrid manufacturing. This research aims to create materials with enhanced performance for applications in aerospace, defense, electronics, and other high-tech industries. This area also encompasses the development of functional materials and devices, including sensors, actuators, and wearable electronics.
Faculty: Dr. Mac Haas, Dr. Antonios Kontsos, Dr. Behrad Koohbor, Dr. Aditya Lele, Dr. Paromita Nath, Dr. Amin Nozariasbmarz, Dr. Anu Osta, Dr. Chen Shen, Dr. Wei Xue
Combustion, Reacting Flows, & Energy Systems
This area focuses on the study of combustion processes and reacting flows, including combustion chemistry, fluid dynamics, and heat and mass transfer mechanisms. It also covers energy storage technologies, such as batteries, capacitors, and supercapacitors. This research aims to improve the efficiency and sustainability of energy systems and enhance our understanding of complex chemical and physical interactions in these systems.
Faculty: Dr. Smitesh Bakrania, Dr. Mac Haas, Dr. Aditya Lele, Dr. Amin Nozariasbmarz
Digital Engineering, Artificial Intelligence (AI), & Machine Learning
This area encompasses the application of digital engineering methods, artificial intelligence (AI), and machine learning (ML) techniques to enhance cyberphysical systems. Research includes developing digital twins, predictive modeling, and optimization algorithms to improve system performance and decision-making. The goal is to advance the integration of AI and ML in engineering to drive innovation and efficiency.
Faculty: Dr. Antonios Kontsos, Dr. Aditya Lele, Dr. Paromita Nath, Dr. Yashwant Sinha
Engineering Education
This area focuses on the development and implementation of innovative teaching methods and educational technologies in engineering. Research includes the design of interactive learning experiences, the integration of digital tools and multimedia in education, the advancement of online and hybrid learning models, and integrated research and education activities to cultivate the future engineering workforce. Emphasis is placed on improving student engagement, enhancing the effectiveness of learning, and fostering critical thinking and problem-solving skills. This area also explores the assessment and evaluation of educational outcomes to ensure continuous improvement in engineering education.
Faculty: Prof. Melanie Amadoro, Dr. Smitesh Bakrania, Dr. Antonios Kontsos, Dr. Anu Osta, Dr. Yashwant Sinha, Dr. Mitja Trkov, Dr. Wei Xue
Experimental Mechanics & Structural Health Monitoring
Research in this area involves experimental mechanics, including the study of metals, multifunctional composites and graded structures. It also covers structural health monitoring techniques to assess and maintain the integrity of structures over time. This includes the development of metamaterials for enhanced sensing capabilities and the monitoring of noise and vibration to ensure structural performance and safety.
Faculty: Dr. Antonios Kontsos, Dr. Behrad Koohbor, Dr. Chen Shen, Dr. Yashwant Sinha, Dr. Paromita Nath
Human-Machine Interface (HMI) & Wearable or Soft Robotics
This area explores the development of hardware and software that facilitate effective human-machine interactions. It includes advancements in user interfaces, control systems, and sensor technologies across various industries. Additionally, research in wearable robotics focuses on developing robotic systems and soft robotics for applications in healthcare, rehabilitation, and human augmentation, improving functionality and user experience.
Faculty: Dr. Antonios Kontsos, Dr. Mitja Trkov, Dr. Wei Xue, Dr. Hong Zhang
Renewable and Alternate Energy
This area focuses on transitioning to a more sustainable energy system. This includes research into renewable and alternate energy, including solar, wind, thermal, hydropower, nuclear, and hydrogen. While each type has its benefits and challenges, collectively they provide diverse solutions to meet global energy demands and mitigate climate change. This group looks at the design, development, lifetime evaluation, implementation, operations, and maintenance, as well as the design of predictive and proactive maintenance schemes of existing and novel energy conversion systems and associated technologies.
Faculty: Dr. Smitesh Bakrania, Dr. Aditya Lele, Dr. Amin Nozariasbmarz, Dr. Yashwant Sinha
Robotics & Mechatronics
This research area covers the development of robotic systems and mechatronic devices for a variety of applications. It includes unmanned vehicles for agriculture, energy, and environmental monitoring, as well as electromechanical systems designed to enhance productivity and safety in industrial settings. The focus is on integrating robotics and mechanical systems to address complex real-world problems and improve operational efficiency.
Faculty: Dr. Mitja Trkov, Dr. Hong Zhang
Sustainable Materials & Processes
This area explores the development of novel sustainable processes and materials to address climate change and promote environmental sustainability. Research includes the use of multiscale simulations and machine learning tools to understand and accelerate material discovery. Key topics include sustainable fuel chemistry, material synthesis, polymer recycling, and thermal energy harvesting. This research aims to enhance material efficiency and create innovative solutions for sustainable manufacturing and processing.
Faculty: Dr. Mac Haas, Dr. Aditya Lele, Dr. Paromita Nath, Dr. Amin Nozariasbmarz
Uncertainty Quantification & Process Design
This area focuses on uncertainty quantification and management, particularly in the context of additive manufacturing, healthcare, and power systems. Research involves developing probabilistic models, digital twins, and methods for process design and control under uncertainty. The aim is to improve the reliability and predictability of engineering systems and processes by better understanding and managing uncertainties.
Faculty: Dr. Antonios Kontsos, Dr. Paromita Nath
Major Research Centers
Mechanical Engineering faculty also participate in the following research institutes and centers: