Bijan Vosoughi Vahdat
Mohammad Bagher Shamsollahi
Biomedical Signal and Image Processing Lab
Robotics and Machine Vision Lab
Superconductive Electronics Research Lab (SERL)
Tel: (+98) 21-66164356
The standard of living in today’s modern societies depends, to a large extent, on progress in electrical engineering. Recent advances in electrical engineering (particularly bioelectric engineering) have influenced biological sciences and healthcare like no other discipline. Research carried out in the Bioelectric Engineering group of the EE department is at the forefront of this field, with four main subgroups consisting of researchers working tightly together to find efficient solutions for related real-world problems. The main focus of these subgroups is outlined below.
Biomedical Modeling and Control
Research activities in this subgroup include biomedical modeling and control of human physiological systems such as the heart and neuromuscular system, as well as design and modeling of prosthetic and assistant devices. In addition, research is conducted in the areas of bio-robotics, path planning, virtual and augmented reality, wireless sensor network and stereo vision, frequently with an emphasis on rehabilitation. The application of artificial intelligence in medicine and biology is another research topic in this subgroup. Some of the most promising projects that are currently running are “Control of exoskeleton system as an assistive device for human’s upper extremity”, and “Estimation of tissue deformation from ultrasound images in needle insertion procedures”, to name a few.
Medical Image Processing
The main goal of this subgroup is to develop image processing techniques that use different biomedical images captured via x-ray, ultrasound, MRI, nuclear medicine and optical imaging technologies for both diagnostic and therapeutic purposes. To this end, various research projects are conducted in the fields of noise cancellation, registration, localization, machine learning and statistical pattern recognition. Other research activities include bioinformatics and biological data analysis and processing. “Analysis and processing of high angular resolution diffusion images”, “Functional imaging of brain regions in the meth addicts” and “the estimation of blood pressure using video images of human face” are some examples of the recent research projects.
Biomedical Signal Processing
Biomedical signal processing is a combination of techniques and procedures used to automatically render noisy recorded signals into non-trivial information that are used to enhance monitoring, diagnosis and treatment. This subgroup focuses on developing novel methods for brain signal processing, brain source localization and cardiovascular signal processing. For example, various methods have been developed for ECG denoising, ECG fiducial point extraction, fetal ECG extraction and heart abnormality detection by Dynamic Bayesian Networks. Studies have also been carried out on semi-blind source separation and tensor decomposition techniques for EEG noise cancellation. Another major research topic of this subgroup is Brain Computer Interface (BCI) due to its increasing impact on human life. Other research activities include developing theoretical algorithms and their hardware implementations for medical and health-care issues. Implementation of EEG classification algorithms on FPGA, and development of a high-accuracy method for the cuff-less estimation of blood pressure using PPG signal are projects running in the Biomedical Signal Processing subgroup.
Bioelectronics and Bio-Optical Devices and Circuits
Research in this subgroup involves all aspects of research and development of electronic devices and circuits for bio-applications as well as use of biological materials and biological architectures for information processing systems and new devices. Bioelectronics, specifically bio-molecular electronics, is described as ‘the research and development of bio-inspired (i.e. self-assembly) inorganic and organic materials and of bio-inspired hardware architectures for the implementation of new information processing systems, sensors and actuators, and for molecular manufacturing down to the atomic scale’. The research topics in this subgroup include thermal (IR) and THz sensors and imaging, bioelectric field sensors and detection systems, DNA conductivity characterization and analysis, design of Self Powered Artificial Retina, noninvasive Glucometry, Biomagnetic sensors and SQUID based Magnetocardiography (MCG).
Many of the projects in our group are carried out in collaboration with international research laboratories, such as LTSI lab., University of Rennes 1, Rennes, France and Gipsa Lab., University of Grenoble, Grenoble, France. Moreover, some joint projects are conducted in collaboration with national research institutions, such as Ears, Nose & Throat, Head & Neck Research center and Department, Hazrat Rasoul Akram Hospital, Iran University of Medical Sciences (IUMS) on the subject of Tinnitus and its extended effects.
H. K. Aghajan
Mohammad Reza Aref
Mohammad Hasan Bastani
Mohammad Mehdi Nayebi
Mohammad Reza Pakravan
Microwaves and Optics
Amir Ahmad Shishegar
Ambient Intelligence Research Lab
Communication & Biological Network Analysis & Design Lab
Data Network Research Lab
Information Systems and Security Lab
Tel: (+98) 21-66165924
Research conducted in the Communications Systems group focuses on two main disciplines of Electrical Engineering namely Communications Theory and Signal Processing. Modern communications theory is preoccupied with investigating new ideas and methods for accommodating the exponential growth in data rates and coverage of broadband services throughout the world, as well as diversity of new Quality of Service requirements. Addressing these challenges is of paramount importance for the development of technologies such as 5G which is expected to become widespread soon. The growth of large-scale networks to appear in the so-called Internet of Things is another key challenge that communication systems research will face in coming years. As an example, topics such as Ambient Intelligence used in wide range of Smart Location Based services are now gaining more momentum, bringing in many new multi-disciplinary ideas from Machine Learning and Artificial Intelligence.
Future data networks should be able to handle human-human, human-things and things-things intercommunications. Networks are required to carry more traffic, support higher density of nodes, accommodate much less delay, cover larger areas, consume far less energy and be much more reliable. Here, the convergence of various fixed and mobile technologies and networks adds to the complexity. Part of the Communication Systems group research in this field focuses on new technologies that enhance not only the physical and multiple access layers of wireless and optical networks, but also provide new solutions at network layer as well. In particular, attention is paid to cognitive and collaborative radio techniques, optical spread spectrum techniques, routing algorithms, cross layer optimization and software defined networking (SDN). Network power consumption and operation efficiency are addressed through resource optimization and management, network scheduling, game theory and mechanism design. Attention is paid to energy harvesting as a novel technology through which wireless devices can have perpetual lifetime. However, the intermittent and stochastic nature of the harvested energy brings up new challenges to the design of the wireless devices.
Using information theoretic methods, research is also carried out on new algorithms and performance bounds of both wired and wireless systems comprising not only simple point to point connections, but also more complicated network systems, involving relay nodes, multiple access, and broadcast schemes. With the recent growth of interest in Biological systems, part of activities in the group has also been recently focused on topics such as Molecular Communications, Genomics Signal Processing and Systems Biology with wide applications in drug delivery and design.
Signal Processing research in the group cover a number of topics, from voice and image processing to sparse systems and blind source separation. Here, emphasize lies on leading-edge technology-related problems, as well as hot fundamental problems in signal processing theory. Theoretical signal processing mainly deals with mathematical models governing signal types and acquisition devices. These models are further studied to design optimal or suboptimal processing techniques. The applications of such models and techniques in real world signals such as audio, speech, image and video are studied under applied signal processing. In this case, one might try to further fine tune the theoretical tools to obtain tailored methods for specific applications.
Three Iranian National Science Foundation (INSF) Research Chair Awards on Network Information Theory and Security, Signal Processing, and Molecular Communications and a Type-Approval Test Lab for mobile base stations are part of achievements of this group in recent years. In addition, many faculty members have well-established connections with many universities and research centers in the world including EPFL, TU-Berlin, HKUST, KTH and Georgia Tech to name a few. Such interactions are at the core of the belief that world class research relies on the key pillar of collaboration among researchers.
Field & Wave Communications
At its heart, electromagnetics is the branch of physics which describes the motion and interaction of charged particles. Indeed, up to the early decades of the twentieth century, electromagnetic engineering was hardly discernible from physics. However, things rapidly changed in the course of the last century and the advent of wireless communications, radio and television, radar, satellite communication, and photonics has made electromagnetic engineering a vibrant and indispensable area within electrical engineering. The Microwave and Optical Communications group focuses on diverse aspects of electromagnetic field theory and engineering especially for communication applications.
Microwave circuit synthesis and design forms one of the major research areas within this group. As a highly dynamic discipline within microwave engineering, it focuses on the design and implementation of microwave filters, multiplexers, phased locked loops, inter injection locked oscillators. Design and analysis of linear and nonlinear microwave circuits and phase-noise measurement of microwave oscillators are other examples of currently running investigations in this field. Another related research area in the group is antenna design and configuration for applications such smart antennas and MIMO.
At a more theoretical level, studies are also performed on analytical and computational electromagnetics based on Green’s function techniques. Asymptotic methods are also explored, in particular for indoor/outdoor propagation modeling and scattering analysis.
Study of optical and plasmonic devices constitutes another line of research in the Microwave and Optical Communications group. Research is carried out on optical devices such as lasers, optical sensors and photovoltaics, and circuit modeling of photonic structures especially periodic structures. Plasmonic devices and circuits are also explored. Examples include the development of circuit models for conventional plasmonic waveguides and junctions, and study of Graphene-based plasmonic waveguides and absorbers.
Finally, attention is paid to THz engineering with particular emphasis on generation and propagation of millimeter- and THz waves, as well as related applications such as imaging.
The Communication group has participated in various projects involving many universities and international Research Labs including
Technical University Berlin
Technical University Dresden
Technical University Darmstadt
University of Oulu (Finland)
Tecnalia Research Center (Spain)
CUHK (Hong Kong)
University of Ottawa
Australian National University
Hong Kong University of Science and Technology
Chalmers University of Technology
GIPSA-lab in Grenoble, France
Center for International Scientific Studies and Collaboration (CISSC)
European Research Council (ERC)
Mehrzad Pour Mohammad Namvar
Mohammad Saleh Tavazoei
Ali Reza Farhadi
Maryam Babazadeh Kalvarzi
Intelligent Systems Laboratory,
Advanced Control Systems
Tel: (+98) 21-66165964
Control Engineering is the science of extracting useful work from physical phenomena. It predates the advent of electricity, with early control systems being purely mechanical. However, following the domination of electricity as the primary source of generation and transportation of power, sensing, actuation, and computation, the application of control engineering is currently based on electron devices.
Control engineering and its related fields will likely play a crucial role in future sustainable development of the Earth. Since our resources are bounded, survival of life as we know it will seize to exist unless we either discover new ways in which we can use our resources more efficiently to achieve the same outputs, or to extract more output from the amount of resources we use. Both of these heavily rely on advent of advanced control solutions in – and not limited to – the following areas:
• Efficient production of various forms of power. This includes mechanical from chemical such as in internal combustion or gas-turbine engines, electrical from mechanical such as in all kinds of generators used in wind, gas, steam, turbines, or electrical from light and heat such as in renewable energies.
• Optimal harvesting of raw material in the production of consumables such as steel, paper, wood, petrochemicals…
• Intelligent and autonomous healthcare systems which are becoming increasingly critical as the earth’s population ages, and an increasing amount of the human workforce are required to care for those who are out of work. In several countries, the ratio of retired to working people is almost 1 to 1.
• Intelligent management of resources. Consider for example the simple case of transportation. The roads in most developed countries have reached their capacity for human drivers. This is because the speed with which the human brain makes decisions is fixed (and slow). Therefore the faster you drive, the more space should exist between the vehicles. At 100km/h, the safe distance for a human driver with the vehicle in front is 60 meters. This means only 10% of the road surface is occupied at any one time. Autonomous self-driving cars with advanced sensing and control technologies can significantly increase the road utilization and increase effective transportation throughput without having to build any new roads.
It is evident that control engineers will play a crucial role in the technological transformation which will and must occur in the following decades. The mission of the Control Engineering group at the department of Electrical Engineering is precisely to train engineers which are ready to face precisely these challenges.
The control group has a rigorous and well-rounded training program which is delivered by esteemed academics with an international research record, and is served by several educational and research labs. This is complimented by several industrial projects which are managed by group members.
The main research activities of the current group members are,
• Modelling, analysis and control of fractional order systems.
• Various aspects of Model Predictive Control systems, such as distributed MPC, non-linear MPC, multi-model MPC
• Modeling and optimal control of large scale systems, networks, and interconnected systems.
• Multivariable control systems with an emphasis on industrial applications.
• Networked control systems, control over wired or wireless networks.
• Multi-agent control systems, consensus problems, obstacle avoidance problems.
• Industrial Control Systems, PID, PLC, and DCS systems.
• Optimization algorithms, convex algorithms, semi-definite programming, evolutionary algorithms
• Robotics, Humanoids, and distributed robotics systems, co-operative robotic systems
• Robust and Nonlinear control.
• Instrumentation and sensing for industrial processes.
The research activities are organized in several research labs which are headed by one of or more of the academic group members.
Saeed Bagheri Shouraki
Khosrow Haj Sadeghi
Artificial Creatures Laboratory
Intelligent Digital Systems Laboratory
Advanced Integrated Design Laboratory
Microprocessor Research Laboratory
Tel: (+98) 21-66164366
Very-large-scale integration (VLSI) is the process of building small-scaled electronic circuits, called electronic chips, which are used in nearly all electronic equipment, almost everywhere in the world. These days, the dimension of the main building blocks of these electronic chips, i.e. transistors, has been reduced to a fraction of a micrometer. With the aid of nanotechnology, the size of transistors may approach several nanometers which makes VLSI circuits faster. Large electronic chips today contain several hundreds of millions of transistors. The VLSI chips of a figure-tip size can provide functions that were delivered by thousands of print circuit-boards before.
The VLSI research has many aspects. It starts from architectural design aspects where efficient architectures using pipelining, parallel processing, folding and retiming techniques are employed to meet today’s challenging hardware specifications. It then goes to the next level, where the architecture is translated to various transistor configurations, with all transistors must be properly placed and connected so that the entire circuit can operate at high frequencies. The power consumption of circuits needs to be reduced. The reliability and testability must be addressed. It is worth mentioning that the VLSI design is closely related to fabrication processes and therefore research on solid-state materials is also performed.
VLSI research in the Digital Systems group aims at enhancing the technology in its design, test and architecture aspects. We focus on efficient VLSI architecture design to address the challenging specifications of future next generation systems such as next generation wideband wireless communications, biomedical research, internet of things, mobile health, and imaging systems. The targeted specifications may vary depending on the target application but includes low-power design, high throughput systems and energy efficient gadgets. Some of the active projects in Digital Systems group cover VLSI implementation of biomedical signal processing algorithms, architecture/algorithm design for 5G communication systems, high-throughput massive MIMO systems, ASIC/RTL digital circuit design, and algorithmic aspects of wireless networks.
Computer architecture involves the study of different techniques in design and optimization of processors, processor-based systems and their memory and I/O sub-systems. It ranges from tiny microcontrollers to large-scale cloud servers. A wide range of research topics fall in this category including parallel processors, virtualization and cloud computing. In particular, parallel processing involves both the study of parallel processors and design and optimization of algorithms which execute on parallel processors. Today, parallel processors are found in many systems including low-power smart watches, mobile processors, desktops and large scale servers.
Parallel implementation of machine learning algorithms on mobile GPU is an example of research topics that are being conducted in Digital Systems group. In particular, source code for the implementation of convolutional neural networks has been recently released publicly by this group at https://github.com/ENCP/CNNdroid
Artificial intelligence is, nowadays, one of the most popular and powerful fields of research whose main goal is to understand how an artificial system or algorithm can be trained to classify or regress specific patterns. Statistical learning, also called machine learning or pattern analysis, investigates methods of learning using statistical mathematics. Here, several patterns are used for training the system after which the test patterns are recognized or classified by the trained system. Theoretical development of learning methods, and application of machine learning for recognition of face, action, speech and biomedical signals such as EEG, ECG and EMG are examples of research conducted in Digital Systems group.
Another popular and powerful learning method is based on Artificial Neural Networks (ANNs) that were inspired by biological neurons in brain. ANN is a powerful tool for learning, classification, clustering and optimization. Deep learning, a specific form of ANN, has recently attracted much attention due to its high accuracy. It is expected that mobile phones will soon possess dedicated processors for deep learning algorithms. Moreover, researchers have recently combined various concepts from neural networks and Fuzzy logic to arrive at ANFIS and Fuzzy-ART systems.
Computer vision, also called machine vision or image analysis, is another key area of research within the Digital Systems group. Computer vision deals with analyzing images or frames of video in order to understand the concept and meaning of the image like humans. Image understanding, semantic processing, calculating camera model and image transformations such as panorama pictures are among the goals of computer vision. Dealing with two- and three-dimensional interest points in detection, description and tracking is another research area in the Digital Systems group. Other topics include activity recognition, face analysis, surveillance systems, image warping, tracking suspicious objects and object recognition and detection.
Data Network Research
Today, the demand for high speed data connectivity in fixed and mobile networks, and the need to ensure the desired quality of services for users, have created enormous challenges for the research community. Future data networks should be able to handle human-human, human-things and things-things intercommunications. Networks are required to carry more traffic, support higher density of nodes, provide much less delay, cover larger areas, consume far less energy and be much more reliable. Convergence of various fixed and mobile technologies and networks adds to the complexity.
Data Network Research Lab (DNRL) is focused on addressing the challenges of the future networks and the evolution of technology. Part of the research in this lab focuses on the new technologies that enhance the physical layer and multiple access capabilities of wireless and optical networks. We do research on topics such as cognitive and collaborative radio technologies and optical spread spectrum techniques, new evolving technologies in higher layers of networks such as routing algorithms, cross layer optimization and software defined networking (SDN). Other topics of interest includes increasing the efficiency of network operation by optimization of its resource management and addressing challenges such as network reliability and power consumption.
Seyed Mojtaba Atarodi
Ali Fotowat Ahmady
Mehrdad Sharif Bakhtiar
Nano- & Microelectronic devices:
Advanced Integrated Circuit Design Lab
Integrated Photonic Design Lab
Integrated Circuit Test and Measurement Lab
Integrated Circuit Design Lab
Nano and Microtechnology Lab
Nano Microscopy Lab
Superconductor Electronics Research Lab
Semiconductor Device Simulation Lab
Tel: (+98) 21-66164334
Recent advances in wireless communication theory as well as biomedical science, stimulates design and implementation of novel, low-power, area-efficient and low-cost circuits and systems. In several applications, which require high data rate or bandwidth, the operational frequency is pushed to millimeter-wave, terahertz and optics. Considering the high propagation loss, and low transmitted power at these bands, efficient, low-power and low-noise design techniques must be utilized, which usually requires Electromagnetic full-wave analysis of the circuit. On the other hand, in many applications the area or maximum power consumption of the device is limited by strict constrains. Particularly, in consumer electronics the IC cost is proportional to its area and power consumption which affects the battery life. Furthermore, there are cases, such as satellite communication or radar, where high transmitted power, highly linear transmitters, or receivers with high sensitivity are required. Circuit design for each of the above classes of applications requires different skills and tools.
The emphasis in Microelectronic Circuits group is on design of circuits and systems for various wireless applications such as cellular communication, phased array systems, satellite communication, GPS receivers, RFID systems, biomedical sensors, automotive radar, and RF power harvesting. To achieve these goals, different circuit blocks are designed, including efficient power amplifiers, low noise amplifiers, phase-locked circuits, frequency synthesizers, mixers, modulators and demodulators, low phase-noise oscillators, frequency converters, phase-shifters, and analog to digital converters (ADC).
Our objective is to teach and train our students at the highest level of semiconductor industry. This objective is achieved through multiple courses on circuit theory and analog design, constantly updated lab experiments, design projects using advanced CAD tools, as well as practical projects ranging from board-level to integrated circuits design and implementation. The focus of Electronics education in our group is on the improving students’ ability in analysis of BJT and CMOS transistor circuits through deep understanding of device behaviour, and circuit modeling. Moreover, our students are trained to design and synthesize functional circuits considering practical behavior of transistors at low and high frequencies, as well as environmental effects, such as noise, emission and temperature variation.
Ali Abbaspour Tehrani Fard
Mahmud Fotuhi Firouzabad
Seyed Hamid Hosseini
Zahra Nasiri Gheidari
Hashem Oraee Mirzamani
Ali Mohammad Ranjbar
Mohammad Reza Zolghadri
Reliability and Distributed Generation
Electric Drives and Power Electronics
High Voltage research
Power quality and micro-grid
Power Systems Control and Dynamics
Power System Modeling & Simulation
Power System Research
Tel: (+98) 21-66165965
Electrical energy systems have witnessed rapid changes in recent years, and even more changes are expected for near future. Technologically, flexibility in the control of transmission and distribution systems has been sought through power electronic switches and converters. Renewable energy sources like photovoltaics and wind turbines are growing very quickly and penetrating the electric grids both in the form of large generating plants and small to medium dispersed generators connected to distribution networks. On the other hand, proliferation of modern loads like electronic appliances, converter-based drives and electric vehicles are creating new challenges for the grid.
With respect to power management, most power systems have been restructured in recent years to provide open access to the system for all energy providers and trading entities in a competitive market place. System reliability and electric power quality are now of prime importance. To address these challenges, the future smart grids will rely on advanced infrastructures like wide area measurement and control systems and data communication networks, as well as grid-connected and autonomous microgrids, which might be ac, dc or hybrid.
Research in the Power Engineering group covers a wide spectrum of subjects with a particular focus on the fundamental R&D needs of Iranian electric power and energy industry. Our academic staff has been involved in a variety of industrial research projects from different Iranian national utility (Electric Distribution/ Regional Electric) companies, Tavanir Company, Iran Energy Efficiency Organization (IEEO-SABA), Tehran Urban & Suburban Railway Operation Co, gas and petroleum refineries, and private sector companies active in manufacturing of transformers, electric machines, and protection relays. Moreover, the group accommodates the Centre of Excellence for Power System Management & Control (CEPSMC), one of the three national centers of excellence in the department.
Reliability and Distributed Generation (RDG)
Reliability modeling, as well as reliable planning and operation of power systems and their components are essential ingredients in generation, transmission, and distribution of electric power. The RDG lab focuses on these aspects. Due to its long-standing association with the power industry, RDGL has an appreciation of the technical challenges facing power grids, and can help the power industry to address problems associated with integration of RE and DG technologies. Moreover, the lab provides advice on reliability-centered maintenance for electric power generation & transmission sectors, and performance-based regulation for power distribution companies. On the planning side, the lab has extensive experience in reliability analysis, critical component detection, and performance evaluation. It also helps design a future architecture for power industry that is based on highly efficient, low impact energy sources and technologies.
The Smart Grid Laboratory aims to develop innovative models to study the emerging smart grid technologies and optimally integrate them into the system planning and operation frameworks. The research activities of the laboratory span a broad range of topics including demand-side management, integration of renewable energy resources, integration of electricity storage systems, proliferation of electric and hybrid electric vehicles, distribution automation, plug-in hybrid electric vehicle (PHEV), and cyber security and privacy. In addition, the Smart Grid Laboratory supports Iranian electric power industry in its ongoing modernization of the nation’s electric grid. The laboratory is currently active in a number of industrial projects such as load commitment in smart homes, and feasibility study of PHEVs and their impact on distribution system demand-side management.
Power Quality & Microgrids (PQM)
The PQM lab is the country’s leading lab in power quality research. Equipped with up-to-date professional instruments, PQM lab carries out various fundamental and applied projects including harmonic estimation and load flow, power quality disturbance detection and classification, nonlinear load modeling, and novel power quality/energy monitoring and management systems. Another major activity of PQM lab involves the recently emerging field of micro grids. PQM lab focuses on all aspects of ac, dc, and hybrid microgrids, including power sharing issues in presence of nonlinear and imbalanced loads, and grid-connected and islanded modes of operation.
Electric Drives and Power Electronics (EDPEL)
EDPEL carries out theoretical and experimental research in different fields of power electronics and electric drives. The lab is well equipped with different measurement instruments as well as FPGA- and DSP-based boards and DC and AC power supplies. While general issues of the subject have been covered since its foundation in 1998, in recent years, highly reliable converters and fault tolerant high power converters are the main active subjects of EDPEL. EDPEL is actively involved in industrial projects like using Super-capacitors as regenerative breaking storage system, and variable speed drives for efficiency improvement of the pumps in gas and petroleum refinery companies.
Among other research fields of the group are insulation aging and partial discharge, wireless power transfer, pulse power, stability analysis and improvement of power system.
The Power Engineering group has been involved in many international research activities through collaborative research projects, Ph.D. student exchange and co-supervision programs with a number of universities including
Aalborg University, Denmark
Aalto University, Finland
Illinois Institute of Technology, USA
University of Toronto, Canada
University of British Columbia, Canada
University of Lorraine, France
University of New South Wales, Australia
University of Saskatchewan, Canada
Universidad Técnica Federico Santa María, Chile
University of New Brunswick, Canada
Universiti Teknologi Mara (UiTM), Shah Alam, Selangor, Malaysia