IEEE Miami Section

September 23rd, 2014


Department of Electrical & Computer Engineering, Florida International University, College of Engineering &                        Computing In Conjunction with the Institute of Electrical and Electronics Engineers, Inc. Industry                                           Applications Society is pleased to invite you to lecture on


                          “Modeling and Updating Opin-ions and                                              

                                    Reaching a Consensus ”

                                   by      Kamal Premaratne, Ph.D. University of Miami

                                              Electrical and Computer Engineering                                                           

Date: Oct 23, 2014
Time: 6:00 pm – 8.00  pm
Place Engineering Centre
ECE Conference Room (EC 3753)


Soft evidence sources (i.e., human-based evidence) play a critical role in social networks and similar settings, where subjective evi-dence (e.g., opinions) is the norm. Study of opinion dynamics in these scenarios requires agent models that can capture the types of uncertainties and nuances characteristic of soft evidence (e.g., subjectivity of human-generated evidence, confidence bounds associated with such evidence). Convergence analysis becomes an extremely difficult problem in such environments because of evidence updating strategies, delays in evidence updating, and dynamic link structure (the set of ‘neighbors’ of an agent is not static). To address the corresponding challenges, we employ a Dempster-Shafer (DS) belief theoretic agent model. The consensus protocol we employ is guaranteed to generate what we refer to as a rational consensus, a notion which justifies the use of the con-sensus state to estimate the ground truth (even when it is unknown or only partially known). Its DS theoretic basis easily adapts itself to situations where agent states are captured with probability mass functions (which can be viewed as a special case of DS theoretic models). We also explore how this consensus protocol can be used to capture notions from social judgment theory (e.g., global affinity and the nature of persuasion of agents) thus leading to the formation of consensus clusters.


BIOGRAPHY :         

Kamal Premaratne                                                                                                                                                                                                                                                                                                                              Kamal Premaratne received the B.Sc. degree in Electronics and Telecommunication Engineering (with First-Class Honors) from University of Moratuwa, Sri Lanka. He obtained his M.S. and Ph.D. degrees, both in Electrical and Computer Engineering, from the University of Miami, Coral Gables, Florida, USA, where he is presently a Professor. He has received the “Mather Premium” and the “Heaviside Premium” of the Institution of Electrical Engineers (IEE), London, UK, and the “Eliahu I. Jury Excellence in Research Award” of the College of Engineering, University of Miami. He has served as an Associate Editor of the IEEE Transactions on Signal Processing and the Journal of the Franklin Institute. He is a Fellow of IET (formerly IEE) and a Senior Member of IEEE. His research interests include belief theory, evidence fusion, machine learning and knowledge discovery from imperfect data. His current work is sponsored by the US National Science Foundation (NSF) and the US Office of Naval Research (ONR).

September 15th, 2014


The IEEEXtreme team would like to extend a personal invitation to all IEEE members who would be interested in hosting, proctoring, or competing in IEEEXtreme 8.0, IEEE’s flagship computer programming competition beginning on 18 October, 2014 at 00:00 UTC. IEEEXtreme is a great opportunity for college students to prove their coding skills in a well-known international competition and compete for a set of great prizes.

Please post publicly some IEEEXtreme 8.0 flyers at your local school and spread the word about the competition!

Important points to keep in mind:

•There is no direct fee for participating in the competition, as it is an educational entertainment benefit for our IEEE student members.

•We will be hosting informational webinars on IEEEXtreme topics on 19 September and 26 September, which anyone interested can sign up for here:

•We have developed a short student/proctor guide on hosting an IEEEXtreme event and a media press kit for convenient advertising, both of which can find on the Xtreme website.

•You can check out our IEEEXtreme website ( for further registration information and competition rules. Any related questions can be directed to




July 1st, 2014

Department of Electrical & Computer Engineering, Florida International University, College of Engineering & Computing In Conjunction with the Institute of Electrical and Electronics Engineers, Inc. Industry Applications Society is pleased to invite you to lecture on

LLG micromagnetic analysis of perpendicular recording heads
- Energy-assisted magnetic recording -

by Professor Yasushi KANAI, Dr. Eng.

Department of Information and Electronics Engineering
Niigata Institute of Technology, Japan FIU

Date: Aug. 18, 2014
Time: 2:00 PM
Place:  ECE Department, FIU
10555 W. Flagler Street, Miami, Florida
ECE Conference Room (EC 3753)

Thermally-assisted magnetic recording (TAMR) and microwave-assisted magnetic recording (MAMR) are the two candidates for achieving an areal density of multi-terabit per square inch (Tbit/in2 firsthalf, magnetic write heads are modeled and analyzed micromagnetically for TMAR combined with shingled recording, targeting an areal density of 8 Tbit/in2 more than 8 Tbit/in2 system. In the second half, a model analysis was used to investigate a spin-transfer torque oscillator (STO) and magnetic write head for shingled MAMR, where the interactions between STO and write head were included. The magnetic head had a tilted main pole (MP) – trailing shield (TS) gap with respect to the medium surface. The head structure gives a larger recording field gradient in the crosstrack direction due to the wide pole. A STO placed in a tilted MP–TS gap had stable oscillation at cost of a small reduction in oscillation amplitude. is possible with shingled recording, compared with 4.4 Tbit/in2

For Seat Reservation Contact: Mr. Bharat 305-348-6194

For Lecture Information Contact Dr. O. A. Mohammed ( Tel: 305-348-3040.


Some of the pictures from this event:


April 24th, 2014

IEEE Miami Section in Conjunction with Energy Systems Research Laboratory at Florida International University is pleased to invite you to lecture on

A Magnetic “Spin” on Cancer Treatment

by Sakhrat Khizroev

Professor of Electrical and Computer Engineering, College of Engineering and Computing, FIU
Professor of Cellular Biology and Pharmacology Herbert Wertheim College of Medicine, FIU

Date: May 15, 2014
Time: 11:00 AM – 12:00 Noon
Place:  EC-2300, Engineering Center at 10555 West Flagler Street, Miami

Cancer is a complex disease of genetic alternations and cellular abnormalities that result in uncontrolled growth and progression of tumors. Despite advances in molecular biology research, the overall survival rate from cancer has not significantly improved. The current mostly chemistry-based approaches are limited because of the lack of adequate specificity of treatment to eradicate cancer while spare healthy cells. Although the circulatory system in conjunction with biomarker- specific monoclonal antibodies and/or receptor-driven ligands can deliver a drug to every cell in the body, bringing a drug inside the tumor cell past its membrane without affecting the healthy cells remains a formidable task. Needless to say, the emergence of a high-specificity targeted delivery technology would be a significant breakthrough. To overcome this stumbling block, we proposed a new “smart” nanotechnology approach that exploits the physics of magnetic spin to enable a molecular-level control of drug targeting and delivery. The approach takes advantage of (i) the difference between the membrane electric properties of cancer and healthy cells and (ii) the capability of magneto-electric nanoparticles (MENs) to serve as converters of a remotely supplied magnetic field into the nanoparticles’ intrinsic electric fields that in turn can trigger local nano-electroporation effects. This capability allows to remotely control the electric fields in the vicinity of intravenously injected drug-loaded nanoparticles and consequently enable the required specificity of the drug delivery to the tumor cells. Such fundamental control at the molecular level also opens a new pathway to develop a universal approach to “program” passive and active “tagging” properties of drug-loaded nanoparticles by tailoring them to specific biomarkers and receptors and ideally capable of “catching” isolated cancer stem cells.
Short Bio:
Professor Khizroev is an inventor with an expertise in nanomagnetic/ spintronic devices. His group’s current research focus is at the intersection of nanoengineering with medicine. He is tenured at the College of Engineering; however, his main lab is at the College of Medicine where his team works hand-in-hand with leading medical researchers and clinicians to advance the state of the art in areas of Oncology, Neurodegenerative Diseases, HIV/AIDs, Ophthalmology, and others. Prior to re-joining FIU in 2011 to lead the university-wide multi-disciplinary research effort in personalized nanomedicine, Khizroev was a tenured faculty (Professor from 2009-2011 and Associate Professor from 2006-2008) at the Department of Electrical Engineering of the University of California, Riverside (UCR). From 2003-2005, he was Associate Professor of Electrical Engineering at FIU, where he was tenured in 2005. Prior to his academic career, Khizroev spent almost four years as a Research Staff Member with Seagate Research (1999-2003) and one year as a Doctoral Intern with IBM Almaden Research Center (1997-1998). His team’s recent research accomplishments include pioneering discoveries that led to: (1). Nanotechnologies to fight Cancer, HIV/AIDS, Neurological Disorders; (2). Nanomagnetic and graphene-based spin devices for energy-efficient information processing; (4). 3-D magnetic memory/storage and near-field optical transducers for heat-assisted magnetic recording. Khizroev’s most notable past contribution to the modern field of information processing is his leading role to demonstrate the feasibility of perpendicular magnetic recording (PMR), which today became the main technology in the multi-billion-dollar data storage industry. For his pioneering contribution to the development of PMR and other information processing technologies, Khizroev was named a Fellow of National Academy of Inventors (2012). He holds over 30 granted US patents plus many international patents. He has authored over 120 peer-reviewed papers. He has acted as a guest science and technology commentator on television and radio programs across the globe. He has served as an Editor for IEEE Transactions on Nanotechnology, Nanotechnology, and IEEE Transactions on Magnetics and sits on editorial boards of several Science and Technology journals. Khizroev received a B.S/M.S. degree in Physics from Moscow Institute of Physics and Technology in 1992/1994, a M.S. degree in Physics from the University of Miami, and a PhD degree in Electrical and Computer Engineering from Carnegie Mellon University in 1999.

Some of the pictures from this event:

April 22nd, 2014

IEEE Miami Section in Conjunction with Energy Systems Research Laboratory at Florida International University is pleased to invite you to lecture on

Game Theory for Networked Systems: A Tutorial

by Dr. Walid Saad,

Professor, Ph.D., University of Miami

Date: Friday, May 2, 2014
Time: 11:00 AM – 12:00 PM
Place:  FIU Engineering Center, EC 3960
10555 W. Flagler Street, Miami, Florida

Next-generation networked systems, such as wireless networks or the smart grid, are characterized by three key features: heterogeneity, in terms of technology and services, dynamics, in terms of rapidly varying environments and uncertainty,and size, in terms of number of users, nodes, and services. The need for smart, distributed and self-organizing networking designs designs has become a central research issue in a variety of applications and scenarios. Incorporating self-organizing capabilities in heterogeneous networked systems motivates the development of innovative analytical techniques. In this respect, game theory is expected to play a critical role towards deploying intelligent, distributed, and flexible networked systems in which network devices can make independent and rational strategic decisions, smartly adapting to their environment.
This tutorial provides a comprehensive introduction to noncooperative game theory, reinforcement learning,
and cooperative game theory as they apply to the design of future networks. For each type of games, we present the fundamental components, introduce the key properties, mathematical techniques, and solution concept, and we describe the challenges and methods for applying these games in several emerging fields such as wireless networks, smart grid, and cybersecurity.

Short Bio:

Walid Saad received his B.E. degree in computer and communications engineering from Lebanese University in 2004, his M.E. in Computer and Communications Engineering from the American University of Beirut (AUB), Lebanon, in 2007, and his Ph.D degree from the University of Oslo, Norway, in 2010. Currently, he is an Assistant Professor at the Electrical and Computer Engineering Department at the University of Miami, Coral Gables, FL, USA. Prior to joining UM, he has held several research positions at institutions such as Princeton University and the University of Illinois at Urbana-Champaign. His research interests include wireless and small cell networks, game theory, network science, cognitive radio, wireless security, smart grids, and self-organizing networks. He has co-authored one book and over 90 international conference and journal publications in these areas.
In 2013, Dr. Saad received the NSF CAREER award for his research on self-organizing wireless systems. He was the author/co-author of the papers that received the Best Paper Award at the 7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), in June 2009, at the 5th International Conference on InternetMonitoring and Protection (ICIMP) in May 2010, and at IEEE WCNC in 2012. Dr. Saad is a recipient of several awards from the University of Miami that include the Provost Research Award (2011 and 2013) and the Eliahu I. Jury Award for early career researcher in 2013.

March 26th, 2014

IEEE Miami Section in Conjunction with Energy Systems Research Laboratory at Florida International University is pleased to invite you to lecture on

Distributed Control and Plug-n-Play Operation of Distribution Networks and Microgrids

by Dr. Zhihua Qu,

Professor and Chair of ECE, University of Central Florida, Orlando

Date: Friday, March 28, 2014
Time: 10:00 AM – 11:00 PM
Place:  FIU Engineering Center, EC 1115
10555 W. Flagler Street, Miami, Florida

In a smart grid, unpredictable and distributed generation must be seamlessly and autonomously incorporated into the operation of distribution networks and microgrids. In this talk, a plug-n-play design is presented for the general class of cyber-physical cooperative systems which consist of individual heterogeneous nonlinear physical systems, a physical network, and a network of intermittent local communication channels. By introducing a simple impact coefficient to quantify interactions among heterogeneous physical systems, a fully modular design methodology is proposed to separately design individual feedback controls of physical systems and network-level cooperative control, and their combination enables plug-n-play operation of the overall networked physically-constrained systems. For distribution networks and microgrids, the proposed control design renders distributed cooperative control/optimization algorithms that enable distributed VAR compensation, loss minimization and optimal dispatch of aggregate active power from distributed generation units. Sample results will be presented to illustrate their effectiveness.

Short Bio:

Dr. Qu received his Ph.D. degree in Electrical Engineering at the Georgia Institute of Technology in June 1990. Since then, he has been with the University of Central Florida (UCF). Currently, he is a Professor and the Chair of Electrical and Computer Engineering, the PI and Director of DoE-funded FEEDER center, and the SAIC Endowed Professor at UCF. Dr. Qu is the author of three books, including Robust Control of Nonlinear Uncertain Systems by John Wiley & Sons (1998) and Cooperative Control of Dynamical Systems by Springer Verlag (2009). He is a Fellow of IEEE and AAAS, he is serving on the board of ECEDHA, and he is/was an Associate Editor for Automatica, IEEE ACCESS, IEEE Transactions on Automatic Control.