IEEE Miami Section

IEEE
November 25th, 2014

 

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Wireless Communication Protocols for Smart Grid Neighborhood Area Networks and Their Privacy Threats

Invited Lecture by

Kemal Akkaya, Ph.D.
Associate Professor, FIU

Date: December 2, 2014
Time: 2:00 PM– 3:00 PM
Address: Department of Electrical and Computer Engineering Department, Florida International University, 10555 W. Flagler Street, Miami, Florida 33174
Room: EC-1105

akkayaAbstract: The upcoming Smart Grid is envisioned to use communication networks for two-way flow of data that will be generated from several new applications. These applications will run on different components of Smart Grid communication network includ-ing Neighborhood Area Networks, Home Area Network and Wide Area Networks. For each of these network components, various underlying infrastructure alternatives and standards based on wireless, fiber, powerlines, etc. are being considered for development. In this presentation, I will first talk about the wireless networking infrastructure options for the implementation of Neighborhood Area Networks. Particularly, I will look at the possibility of applying IEEE 802.11s and Zigbee mesh standards. In the second part of the presentation, I will look at privacy concerns due to smart meter data collected through the Neighborhood Area Networks. The collection of near real-time household energy consumption may reveal a lot of information about the life and behavior within the home. Therefore, in addition to traditional security problems, researchers need to tackle the pri-vacy issues raised as a result of the implementation of the Smart Grid Advanced Meter-ing Infrastructure (AMI). I will describe two approaches to provide consumer privacy on AMI: The first approach relies on generating obfuscation values to hide the actual usage from eavesdroppers and utility companies while preserving the utility companies’ ability to use the data for state estimation. The second ap-proach is the ultimate solution that relies on fully homomorphic encryption systems. I will talk about the feasibility of using these two approaches on an IEEE 802.11s-based AMI network.

 

For seat reservation and more information please contact IEEE Miami Section staff at rmoha023@fiu.edu or bsukh002@fiu.edu.


November 14th, 2014

123

The Energy Systems Research Laboratory presents

Electric traction machine choices for

hybrid & electric vehicles

Invited Lecture by

James R. Hendershot

Date: Nov 20, 2014
Time:  2:00 PM– 3:00 PM
Address Department of Electrical and Computer Engineering Department, Florida International University, 10555 W. Flagler Street, Miami, Florida 33174
Room: EC-2300

Abstract: How and why did the design engineers decide which electric machine type to develop for modern hybrid & electric vehicles? Similar machine types seem to be used in all hybrids. The all electric vehicles have been developed using a different machine topology. This presentation reviews theToyota Prius hybrid vehicle and many that followed to gain insight to this question. We will explain vehicle traction motor design and selection. The audience will come away with clear understanding of the choices, some tradeoffs and a starting placein mind for their own efforts. Details will be presented for the drive train of nearly every such vehicle currently in production. Knowledge of what has been done earlier will help avoid re-invention.

 

Short Bio: James R. Hendershot is the CEO of Motor Solver, LLC – the designer & supplier of teaching Dyno-Kits to domestic and foreign universities for the ONR/NSF sponsored Curriculum Courses called Reforming Electric Energy Systems Curriculum for Renewable/Storage, Smart Delivery and Efficient End User. Mr.Hendershot was tutored in the design, Development and testing of PM brushless motors and generators by Mr Gene Aha,(the original developer of PM brushless machines for the Apollo Space Program).He was one of the early developers of Switched Reluctance motors and generators. His Research interests include developing generators and alternators for wind-turbines, EV’s, and gas micro-turbines.

 

 

For seat reservation and more information please contact IEEE Miami Section staff at rmoha023@fiu.edu or bsukh002@fiu.edu.

 

To download his presentation click here.

 

Here are some pictures from this event:

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September 23rd, 2014

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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)

 

ABSTRACT:
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

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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: https://docs.google.com/a/fiu.edu/forms/d/1qTvOb2omUh-Z0HLE2OFzFQvc2ykxulO7Ph58QSaxM2o/viewform

•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 (www.ieee.org/xtreme) for further registration information and competition rules. Any related questions can be directed to IEEEXtreme@ieee.org.

 

Xtreme-8.0-Press-Kit

Xtreme-8.0-Student-and-Proctor-Guide


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)

Abstract:
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 (mohammed@fiu.edu) Tel: 305-348-3040.

 

Some of the pictures from this event:

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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

Abstract:
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: