Bioinformatics, Information Theory, and Communications Laboratory
The Bioinformatics Information, Theory, and Communications Laboratory is a facility dedicated to research in the areas of communications, information theory, and bioinformatics. Within the communications area, several projects are underway in space-time coding, multiple input/multiple output communication systems, wireless sensor networks, and advanced modulation formats for bandwidth and power-efficient communications. In the bioinformatics area, projects focus on applying principles of source and channel coding theory, information theory, and pattern recognition to analyze and model genetic structures.
Director: Associate Professor Guillermo E. Atkin
Electric Drives and Energy Conversion Laboratory
The Electric Drives and Energy Conversion (EDEC) Laboratory houses research on advanced power electronics and energy conversion solutions toward sustainable energy technology. Using fundamentals of electromagnetic energy conversion, this lab focuses on improving efficiency of electric machines and developing fault-tolerant control strategies for power electronics and motor drive systems. Some specific research topics include the design and implementation of advanced power electronic converters for automotive systems, embedded controllers for renewable energy systems, innovative machine designs, analysis and simulation, and control strategies for electric motors and generators.
Director: Professor Mahesh Krishnamurthy
Electric Drives and Energy Conversion Laboratory
Electric Machines, Drives, and Power Electronics Laboratory
The Electric Machines, Drives, and Power Electronics Laboratory focuses on design and modeling of electric machines, adjustable speed drives, and power electronics applied to renewable energy systems and energy efficient power conversion.
Director: Associate Professor Ian Brown
Embedded Computing and Signal Processing Research Laboratory
The Embedded Computing and Signal Processing (ECASP) Research Laboratory is dedicated to research areas in ultrasonic imaging and signal processing, machine vision and autonomous navigation, System-on-Chip Designs, and high performance application-specific computing systems, reconfigurable architectures, computer vision and image analysis, target detection and estimation, data compression, neural networks, FPGA-based DSP systems, wireless sensor networks on medical and industrial applications for visually impaired people, smart sensors for visually impaired people and drone with applications in the area of robotics and transportation, and the Internet of Things.
Director: Walter and Harriet Filmer Endowed Chair in Electrical and Computer Engineering Jafar Saniie
Embedded Computing and Signal Processing Research Laboratory
Future Networking Research Laboratory
Research directions in the Future Networking Research Laboratory include internet and wireless networks, with the objective to develop practical technologies that can provide quality-of-service, guaranteed multimedia applications over wireless and wireline internet protocol-based networks. Specific research topics include service and application-oriented network architectures; autonomic network management; internet performance analysis; resource allocation and traffic engineering; network measurement; network security; wireless networks; and wireless/wireline interworking.
Director: Professor Yu Cheng
Future Networking Research Laboratory
Multimedia Communications Laboratory
The Multimedia Communications Laboratory is engaged in research related to theories, algorithms, and applications of multimedia processing and communications. Current research activities of the lab include computer vision and deep learning, image/video processing and communications, and computer vision for robotics.
Director: Associate Professor Joohee Kim
Multimedia Communications Laboratory
Power, Energy, and Control Research Laboratory (PEAC)
The Power Energy, and Control Research Group is based at Illinois Tech's Department of Electrical and Computer Engineering. Our mission is to seamlessly integrate the disciplines of control and systems engineering, power electronics, and power systems to tackle the fundamental challenges in energy and power systems. Our vision is to harmonize power grids worldwide, emphasizing our core values to be creative, active, positive, and supportive.
Director: Max McGraw Endowed Chair Professor of Energy and Power Engineering and Management Qing-Chang Zhong
Power, Energy, and Control Research Laboratory
Sustainable Networking Research Laboratory (SUN)
The Sustainable Networking Research Laboratory is dedicated to the research of wireless communication and networking including green radio communication networks, broadband multimedia services, radio resource allocation and mobility management, and cognitive radio networks.
Director: Associate Professor Lin Cai
Trustworthy and Intelligent Machine Learning (TIML) Research Lab
The Trustworthy and Intelligent Machine Learning Research Lab is an innovative research laboratory dedicated to building next-generation intelligent machine learning systems with trustworthiness at the center. The lab's research activities are centered around two key themes: trustworthy machine learning and intelligent machine learning for engineering. The trustworthy machine learning theme explores issues such as robustness, interpretability, transparency, privacy, and security in machine learning systems. This research theme aims to develop tools and techniques that enable the design and implementation of machine learning systems that can be trusted by end-users, regulators, and other stakeholders. The intelligent machine learning for engineering theme, on the other hand, focuses on the development of intelligent machine learning systems that enable the reliable and efficient development of engineering methodologies, tools, and practices. The lab's research outcomes are expected to have significant impacts on various domains, such as machine learning, computer vision, power systems, healthcare, and education.
Director: Assistant Professor Ren Wang
Assistant Professor Ren Wang’s Website
VLSI Design and Automation Research Laboratory
VLSI Design and Automation Research Laboratory (DA LAB) is working on the impact across disciplinary research in the areas of solid-state microelectronics, digital circuit designs, computer architecture, application-specific system design, and computer-aided design (CAD) algorithms for ultra-low power VLSI. We apply our research experience to other research domains, such as design for manufacturing to solve yield problems due to process variation, thermal effects, and electrical verification for system-on-chip design, and circuit optimization for new materials like nano-tube, fuel cells, and organic transistors. We believe that adaptation is a promising tool for improving not only the power efficiency, but also their performance, and possibly even their yield problems tremendously for future design technology nodes.
Director: Associate Professor Ken Choi
VLSI Design and Automation Research Laboratory
VLSI and SoC Research Laboratory
VLSI and SoC Research Laboratory focuses on research interests on reconfigurable computing, advanced computer architectures, hardware/software co-design and sensor systems. Current research targets system-on-a-chip (SoC) frameworks for FPGA and VLSI implementations of ultrasonic signal processing and imaging applications.
Director: Associate Professor Erdal Oruklu
VLSI and SoC Research Laboratory
Wireless and Optical Integration Laboratory
The Wireless and Optical Integration Laboratory focuses on research in wireless communications and mobile networks in general, specifically power control/resource allocation for various wireless networks, integration of heterogeneous networks, and reliable communications over OFDM or MIMO systems.
Director: Associate Professor Chi Zhou