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Prof. Lotfi A. Zadeh

 

Biography:

rofessor in the Graduate School, Computer Science Division, Department of EECS, University of California, Berkeley. In addition, he is serving as the Director of BISC (Berkeley Initiative in Soft Computing).LotfiZadeh is an alumnus of the University of Tehran, MIT and Columbia University and held visiting appointments at the Institute for Advanced Study, Princeton, NJ; MIT, Cambridge, MA; IBM Research Laboratory, San Jose, CA; AI Center, SRI International, Menlo Park, CA;  and the Center for the Study of Language and Information, Stanford University.
LotfiZadeh is a Fellow of the IEEE, AAAS, ACM, AAAI, and IFSA. His current research is focused on fuzzy logic, semantics of natural languages, computational theory of perceptions, computing with words, extended fuzzy logic and Z-numbers.

www.eecs.berkeley.edu/Faculty/Homepages/zadeh.html

 







Prof. Alejandro Frangi

 

Abstract:

Computational Medicine: the interplay between image-based modelling and model-based imaging;
Access to multifactorial and multiscale digital data about health and disease state (aka biomarkers) could enable more personalised profiling of the individuals’ health status and quantitative disease modelling from population data. Eventually,better access to both patient and disease knowledge can impact on more effective diagnosis,prognosis,and treatment outcome. However,the profusion of biomedical data does not equate in itself to wiser patient care and rational care costs. On the contrary,it can contribute to the information deluge and fragmented health care provision that clinicians have to deal with daily. A modern and integrative approach to decision making in healthcare needs the ability to discover quantitative disease biomarkers (e.g. genetics,biochemistry,anatomy,physiology,etc.) and to build multifactorial decision support systems able to deal with the complexity and diversity of current data sources. It also requires,computational methods in the areas of computational sensing,imaging and modelling. In turn,national and international initiatives are gathering increasingly larger and richer multi-factorial biomedical data of cross-sectional and longitudinal population cohorts that will be crucial in developing more principled disease and disease progression models. Computational Medicine aims at developing the framework and tools to tackle these challenges. There is an unmet clinical need of a more holistic investigation of the human body that makes the best use of modern data sources and delivers practical methods and systems for personalized and predictive medicine. This talk will focus on and explain two specific issues. On the one side,how the integration of biomedical imaging and sensing,signal and image computing,and computational physiology are essential ingredients in addressing the challenge of a more personalized,predictive and integrative healthcare. On the other hand,how such principles are practically applied to address specific clinical challenges in the context of collaborative and interdisciplinary projects from the speaker´s experience. Finally,this keynote will also underline the importance of clinical evaluation as a key factor in achieving translational credibility and success. Evaluation ranges from technical validation of specific algorithmic components to clinical assessment of the proposed systems. The talk will conclude by outlining some of the areas where current research efforts fall short today and where further investigation is required in the future.

 


Biography:
Alejandro Frangi is Professor of Biomedical Image Computing at the University of Sheffield (USFD) and affiliated to the Electronic & Electrical Engineering Department.

He currently leads the Centerfor Computational Imaging & Simulation Technologies in Biomedicine (www.cistib.org). CISTIB is part of INSIGNEO Institute for in silicoMedicine,a joint initiative between USFD and the Sheffield Teaching Hospitals Foundation Trust to realise the scientific ambition behind the Virtual Physiological Human (VPH),producing a transformational impact on healthcare. His main research interests are in medical image computing,medical imaging and image-based computational physiology.

http://www.cistib.org/afrangi/




 

Prof. Dan Simon

 

Abstract:
An overview of above-knee prosthesis technology;
There are approximately 10 million amputees worldwide,including about 3 million above-knee amputees. The number of above-knee amputations is growing due to the increasing prevalence of diabetes. This talk will provide an overview of above-knee prosthesis technology,the current state-of-the-art in above-knee prosthesis research,and current research at Cleveland State University. CSU is developing a knee/ankle prosthesis with novel control approaches for improved prosthesis performance,and supercapacitor-based energy regeneration to lengthen the operational time of the prosthesis between battery charges. Presented topics will include state estimation,user intent recognition,human control identification,impedance control,and multi-objective optimization of prosthesis control and energy regeneration.



Biography:

Dan Simon is Professor in Department of Electrical and Computer Engineering,Cleveland State University. He received a PhD from Syracuse University,an MS from the University of Washington,  and a BS from Arizona State University,  all in Electrical Engineering.  His work experience includes time in the aerospace,automotive,  agricultural,  biomedical,  process control,  and software industries. Professor Simon has research interests in control theory, signal processing, embedded systems, and computer intelligence.

http://academic.csuohio.edu/simond/








Prof. Hassan Farhangi

 

Abstract:

Energy Conservation; The first step towards addressing Climate Change
Given rapid depletion of hydrocarbon resources,combined with adverse impacts of climate change,the advanced economies of the world,as well as developing nations,need to invest in energy conservation,loss reduction and rationalization of energy use. The objective is to equip communities,large and small,on-grid or off-grid,remote or urban,with efficient,economical,environmentally responsible,reliable and sustainable energy. However,the technologies required for this purpose are still in the making by pockets of experts spread around the globe. To ensure successful integration of those technologies into affordable solutions,and deployment of those solutions into communities,two parallel environments have to be created; one is a virtual community of practice,interconnecting interdisciplinary expertise in energy system design,energy management,energy distribution,etc,and focus these on the creation of standards,best practices,blueprints and actual solutions for affordable community-based electrification. Secondly,a physical sandbox to enable such solutions to be verified prior to deployment. This presentation describes a world-class Smart Microgrid designed by BCIT researchers,enabling experts from across the globe to work together to develop and validate affordable solutions for energy-efficient and green homes,hospitals,campuses,factories,communities and transportation. Solutions which could be adapted by many communities domestically and internationally.



Biography:

Dr. Hassan Farhangi,Ph.D.,SM-IEEE,PEng,is Dir of Smart Grid Research at British Columbia Institute of Technology in Burnaby,BC,and Adjunct Professor at Simon Fraser University (SFU). Dr. Farhangi is the chief system architect and the Principal Investigator of BCIT’s Smart Microgrid at its Burnaby Campus in Vancouver,British Columbia,and the Scientific Director and Principal Investigator of NSERC Smart MicroGrid Network (NSMG-Net). He has published and presented several papers in scientific journals and conferences in Smart Grid and is a member of various international standardization committees such as IEC CSC TC57 WG17 (IEC 61850),Cigre WG C6.21 (Smart Metering) and Cigre WG C6.22 (Microgrids Evolution). A frequent keynote speaker at various international Smart Grid conferences,Dr. Farhangi has more than 25 years of experience in academic and applied research. Before joining BCIT,he served as Chief Technical Officer (CTO) of a number of companies involved in the design and development of systems,components and solutions for the Smart Grid. Dr. Farhangi is a member of Association of Professional Engineers and Geoscientists of British Columbia (APEG),and a senior member of Institute of Electrical and Electronic Engineers (IEEE).

http://www.bcit.ca/appliedresearch/smart/team/hfarhangi.shtml








Prof. Mohammad Mahdi Nayebi

 

Abstract:

Low Frequency Radars;
In the history of radar development,low frequency (metric) radars have been replaced by microwave radars because of their low detection accuracy,inaccurate height finding,and discontinuous airspace coverage.
Recently,low frequency radar has been under more attention because of importance of stealth detection,so we should find solutions to overcome its weaknesses.
In this talk,we will explain this recent attention to low frequency radar and the possible ways to mitigate its inherent weaknesses.

 

Biography:

Mohammad Mahdi Nayebi is professor of Communications, Electrical Engineering in Department of Electrical Engineering, Sharif University of Technology. He received a PhD from TarbiatModarres University, Tehran, Iran. His work experience includes Radar Target Recognition,  Radar Imaging of Moving Targets and Optimum Target Detection. 

http://ee.sharif.edu/~nayebi/en/index.html







Prof. Gevork B. Gharehpetian



Abstract:

Flywheel Application for Frequency Regulation of Microgrids: Opportunities and Challenges
In interconnected power systems,frequency is an essential criterion for stability and also an index showing the balance of generation and consumption. Any deviation from the determined frequency range can affect the electrical equipments operation and power quality of delivered power. Considering   equipments dynamics,such as generators and transmission lines,monitoring and control of the system should be carried out to maintain power balance between generation and consumption,or in other words regulate the frequency in the determined range. Any changes in network load and generation can result in frequency deviations due to dynamic characteristics of generation units and transmission lines and also dependency of network active power consumption to frequency.
The same problem can be occurred in a microgrid (MGs). MGs present a new solution for supplying the electrical and thermal loads with high efficiency and reliability. Environmental considerations and technological achievements in cost-effective application of renewable energies and other distributed generation units can be realized in MGs. They have some advantages and also can result in some challenges. The islanded operation of MG is one of the most important challenges. In this condition,a distributed or centralized control system should be used to maintain the stability of the MG.
Storage systems can enhance MGs stability. Nowadays,the technological advances in storage systems make it possible to apply the storage systems with high power density and fast response time. On the other hand,by series and parallel combination of these systems,higher ratings can be achieved.  It is expected that in near future,the storage systems will play an important and effective role in frequency regulation of large power systems and MGs as well.
Different types of storage systems have been developed. Batteries,super-capacitors,superconductive magnetic storage systems,flywheel energy storage systems,etc. are some examples of them,which have different applications in power systems and MGs.
Among storage systems,some of them which have the fast charge and discharge response can be used for frequency regulation. The flywheel energy storage system has long lifetime and fast response,and can store or discharge energy for several minutes. Another characteristic of this environmental friendly storage system is its low losses. Therefore,it is a good option for frequency control of power systems. For example,in Massachusetts,USA,a 20MW flywheel energy storage system has been installed and used for frequency regulation.
In this presentation,firstly the frequency regulation in conventional power systems is investigated. Also,different frequency control methods are expressed,and the application of energy storage systems to overcome frequency control challenge is introduced. Then,flywheel energy storage system,as a good solution for this challenge,is described and finally the experimental setup of this storage,built at Amirkabir University of Technology (AUT),is introduced.

 

Biography:

Gevork B. Gharehpetian is professor of Electrical Engineering in Amirkabir University of Technology. He received his Ph.D. degree from Tehran University,Tehran,Iran. He was selected by the ministry of higher education as the distinguished professor of Iran and by IAEEE (Iranian Association of Electrical and Electronics Engineers) as the distinguished researcher of Iran and was awarded the National Prize in 2008 and 2010,respectively. His research interest include: Smart Grid,DGs,Monitoring of Power Transformers,FACTSDevices,HVDCSystems,Power Electronic Converters,Power System Transients.

http://ele.aut.ac.ir/~gharehpetian/


 



Prof. Eduard Alarcón

 

Abstract:
On the future of Energy harvesting: device,circuit,system and IoT application co-design and integration;
The concept of harvesting ambient energy as an alternative power source for supplying integrated circuits aiming more miniaturized and distributed applications has been gaining momentum in the past years. A functional energy harvesting system,both in terms of available power and compatibility with system integration,requires concurrently addressing the energy transducing devices together with power management circuits. This tutorial will address the topic of power management circuits specific for harvesters,particularly emphasizing tight joint characterization,modeling and circuit co-design of the energy transducing devices and the power management frontend integrated circuits,in turn emphasizing vertical co-design for IoT applications.



Biography:

Eduard Alarcón received the M. Sc. (National award) and Ph.D. degrees (honors) in Electrical Engineering from the Technical University of Catalunya (UPC BarcelonaTech), Spain,in 1995 and 2000,respectively. Since 1995 he has been with the Department of Electronic Engineering at UPC,where he became Associate Professor in 2000. From August 2003 to January 2004,July-August 2006 and July-August 2010 he was a Visiting Professor at the CoPECcenter, University of Colorado at Boulder, US,and during January-June 2011 he was Visiting Professor at the School of ICT/Integrated Devices and Circuits,Royal Institute of Technology (KTH), Stockholm, Sweden. During the period 2006-2009 he was Associate Dean of International Affairs at the School of Telecommunications Engineering,UPC. He has co-authored more than 300 scientific publications,5 books,7 book chapters and 10 patents,and has been involved in different National,European and US (DARPA,NSF) R&D projects within his research interests including the areas of on-chip energy management and RF circuits,energy harvesting and wireless energy transfer,and nanotechnology-enabled wireless communications. He has received the GOOGLE Faculty Research Award (2013),SAMSUNG Advanced Institute of Technology Global Research Program gift (2012),and INTEL Doctoral Student Honor Programme Fellowship (2014). He has given 30 invited or plenary lectures and tutorials in Europe, America and Asia,was appointed by the IEEE CAS society as distinguished lecturer for 2009-2010 and lectures yearly MEAD courses at EPFL. He has participated in Evaluation Boards for research proposals both in Europe (Chist-ERA,Belgium,Ireland,Italy) America (Canada) and Asia (Korea). He is elected member of the IEEE CAS Board of Governors (2010-2013),member of the IEEE CAS long term strategy committee,Vice President Finance of IEEE CAS (2015) and Vice President for Technical Activities of IEEE CAS (2016). He was recipient of the Myril B. Reed Best Paper Award at the 1998 IEEE Midwest Symposium on Circuits and Systems. He was the invited co-editor of a special issue of the Analog Integrated Circuits and Signal Processing journal devoted to current-mode circuit techniques,a special issue of the International Journal on Circuit Theory and Applications,invited associate editor for a IEEE TPELS special issue on PwrSOC. He co-organized special sessions related to on-chip power management at IEEE ISCAS03,IEEE ISCAS06 and NOLTA 2012,and lectured tutorials at IEEE ISCAS09,ESSCIRC 2011,IEEE VLSI-DAT 2012 and APCCAS 2012. He was the 2007 Chair of the IEEE Circuits and Systems Society Technical Committee on Power Circuits. He was the General co-chair of the 2014 international CDIO conference,the technical program co-chair of the 2007 European Conference on Circuit Theory and Design - ECCTD07 and of LASCAS 2013,Special Sessions co-chair at IEEE ISCAS 2013,tutorial co-chair at ICM 2010,Demo Chair of BodyNets 2012,track co-chair of IEEE ISCAS 2007,IEEE MWSCAS07,IEEE ISCAS 2008,ECCTD 09,IEEE MWSCAS09,IEEE ICECS 2009,ESSCIRC 2010,PwrSOC 2010,IEEE MWSCAS12 and TPC member for IEEE WISES 2009,WISES 2010,IEEE COMPEL 2010,IEEE ICECS 2010,IEEE PRIME 2011,ASQED 2011,ICECS 2011,INFOCOM 2011,MoNaCom 2012,LASCAS 2012,PwrSOC 2012,ASQED 2012,IEEE PRIME 2012,IEEE iThings 2012 and CDIO 2013. He served as an Associate Editor of the IEEE Transactions on Circuits and Systems - II: Express briefs (2006-2007) and Associate Editor of the Transactions on Circuits and Systems – I: Regular papers (2006-2012) and currently serves as Associate Editor Elsevier’s Nano Communication Networks journal (2009-),Journal of Low Power Electronics (JOLPE) (2011-) and in the Senior founding Editorial Board of the IEEE Journal on IEEE Journal on Emerging topics in Circuits and Systems,of which he is currently deputy Editor-in-Chief (2016).

https://www.eel.upc.edu/ca/personal/pagines-personals/Eduard_Alarcon/


 






Prof. Taher Niknam

Abstract:
Application of evolutionary algorithm to solve single/multi objective optimization problems.;
As the result of many existing difficulties such as dimensionality,differentiability and the possibility of trapping in local optima related to solving the complex nonlinear multiobjective optimization problems,traditional methods such as steepest decent,linear programming,dynamic programming,etc usually fail to find the optimum solutions. Most of the traditional techniques require gradient information and hence it is not possible to solve non-differentiable functions with the help of such traditional techniques. Therefore,in the last few years,a new optimization field referred to as nature-inspired meta-heuristic optimization is proposed which have resulted to satisfying outcomes in different types of optimization problems. The good performance of the evolutionary algorithms in solving difficult nonlinear optimization problems have allowed a wide variety of the algorithms such as Genetic Algorithm (GA) which works on the principles of the human society in producing the new generation,Particle Swarm Optimization (PSO) which works on the behavior of birds or school of fish,Ant Colony Optimization (ACO) which is inspired from the behavior of ants to search the food,Artificial Bee Colony (ABC) which works on the behavior of Honey bees for finding food,Honey Bee Mating Optimization Algorithm (HBMO) which is inspired from the mating process of the honey bees,Harmony Search (HS) which is inspired from the music player improvement,etc. the goal of this lecture is to prsent the application of the evolutionary algorithm for solving single and multi objective problems.

 

Biography:

TaherNiknam is professor of Electrical Engineering in Shiraz University of Technology. He received his Ph.D. in Electrical Engineering from Sharif University of Technology in 2005. He was awarded as the young investigator by Iranian IEEE Branch in 2014, and selected by the ministry of higher education as the distinguished professor in 2015.

http://eee.sutech.ac.ir/DrNiknam









Prof. Jawad A. Salehi

 

Abstract:
The title is "All-Optical Networks: The Future of Ultrahigh Speed Communications Systems"
Abstract: In this talk I begin by presenting new applications such as,video centric services,social networking,wireless communications and cloud services,that demand immense bandwidth in a typical communication networks and argue that the use of fiber-optics along with all-optical processing will become necessary to establish the required services for a vast number of customers all over the world. In particular,we will present an important access network namely fiber-to-the-home and discuss various multiple access techniques that support such networks using all-optical processing. Among various all-optical access technology I will highlight all-optical code division multiple access and discuss its advantages as compared with other multi access  techniques such as wavelength division multiple access and optical time division multiple access.

 

Biography:
Jawad A. Salehi is Professor of Electrical Engineering in Sharif University of Technology. He received a Ph.D.in Electrical Engineering from University of Southern California, Los Angeles in 1984.
He was chair of IEEE Iran Section in years 2005-2007.  He is Director of Optical Networks Research Laboratory, SUT from 2003.
He is introduced as among the 250 preeminent and most influential researchers worldwide, by ISI Web of Knowledge in computer science category.


http://sharif.edu/~jasalehi/

 
 



Prof. Saeed Gazor

 

Abstract:
This talk presents the signal processing challenges and our recent results of a joint research with Dr. Mohammad Hassan Shariat  (as the main contributor) and Professor Damian Redfearn (as surgeon) at Kingston General Hospital aimed for intercardiac surgery for enhanced treatment of Atrial Fibrillation

 

Biography:
Dr. Saeed Gazor received the B.Sc. degree in Electronics Engineering in 1987 and the M.Sc. degree in Communication Systems Engineering in 1989,from Isfahan University of Technology,both with Summa Cum Laude,the highest honors. He received his Ph.D. in Signal and Image Processing from Telecom Paris,Departement Signal (École Nationale Supérieure des Télécommunications /ENST,Paris),1994,France. From 1995 to 1998,he was an Assistant Professor in Isfahan University of Technology,Department of Electrical and Computer Engineering. He was a research associate at University of Toronto from January 1999 to July 1999.
Since 1999,he has been on the Faculty at Queen s University at Kingston,Ontario and currently holds the position of full Professor of the Department of Electrical and Computer Engineering. He is also cross-appointed to the Department of Mathematics and Statistics at Queen s University. He teaches courses and undertakes research related to signal processing.
His research has earned him a number of awards including; a Provincial Premier s Research Excellence Award (now known as Early Research Award)a Canadian Foundation of Innovation Award and an Ontario Innovation Trust Award. His research is supported by NSERC grants,grants from Communications and Information Technology Ontario and industrial grants including Nortel Networks. More information about Dr. Saeed Gazor research team can be found at: Advanced Multi-Dimensional Signal Processing Lab. He served as Editor for IEEE Signal Processing Letters. Dr. Gazor is a senior member of the Institute of Electrical and Electronics Engineers (IEEE),Institution of Engineering and Technology (IET) and Professional Engineers Ontario.



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24th  Iranian Conference on Electrical Engineering
(ICEE 2016)



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