Abdolah Loni Curriculum vitae

25 downloads 0 Views 89KB Size Report
Abdolah Loni. Curriculum vitae. CS & Mathematics Department, Allameh Tabataba'i University, Tehran, Iran. +98 (916) 705 2076. [email protected].
Abdolah Loni Curriculum vitae b

CS & Mathematics Department, Allameh Tabataba’i University, Tehran, Iran

T

+98 (916) 705 2076

B E

[email protected] ir.linkedin.com/in/abdolah-loni-73a712125

E DUCATION 2014 – 2017

Computer science — Cumulative GPA: 3.7 M ASTER ’ S D EGREE Allameh Tabataba’i University, Iran

2010 – 2014

Mathematics & Applications B ACHELOR ’ S D EGREE Shahrood University of Technology, Iran

H ONORS & AWARDS 2014

Competitive Examination — Computer Science - Graduate Level R ANK : 42 - BETWEEN 9560 CANDIDATES

2014

Mathematical Competition R ANK : 9 - BETWEEN 400 CANDIDATES Kerman, Iran

2013

Maths Olympiad R ANK : 3 Mashhad, Iran

R ESEARCH I NTERESTS • Distributed Systems • Distributed Embedded Systems • Optimal Energy Management & Strategy • Electricity Market & Smart Grid • Algorithm Design for Integrated Multi-Energy Systems

T ECHNICAL SKILLS P ROGRAMMING L ANGUAGES & S OFTWARE T OOLS

O PERATING S YSTEMS

C , C++, Java , Matlab, SQL , GAMS , Lingo , Lindo , VBA , LaTex , Weka , RapidMiner , Pascal , x86 Assembly Language Windows, Unix base

W ORK EXPERIENCE A PRIL 2015 – A UGUST 2015

S EPTEMBER 2015 – P RESENT

O CTOBER 2015 – P RESENT

Technical and Vocational Training Organization, Tehran, Iran S OFTWARE T ECHNICIAN & SUPERVISOR IN D ATA MINING PROJECTS . Allameh Tabataba’i Universiy, Tehran, Iran T HE LEADER OF G AME THEORY & C OMPUTER SCIENCES GROUPS Allameh Tabataba’i Universiy, Tehran, Iran S UPERVISOR ON O PTIMIZATION GROUP

A CADEMIC E XPERIENCE AS TA S PRING 2013

Operation Research

S PRING 2013

Linear Algebra

A UTUMN 2013 S PRING 2014

General Mathematics Advanced Computer Programming

A UTUMN 2015

Advanced General Mathematics

A UTUMN 2015

Set Theory

S PRING 2016

Advanced Numerical Analysis

S PRING 2016

Introduction to Probability

W ORKSHOPS D ECEMBER 2015

Computational Complexity This workshop was surrounding the definition of whole sorts of problems (P - NPComplete - NP-Hard) & how to reduce the special problem to 21 popular problems, e.g by using SAT , 3-SAT ,...

M AY 2016

Game Theory This workshop revolved around the definition & description of basic concepts of the Games & their Applications

L ANGUAGE P ROFICIENCY P ERSIAN

Native speaker

E NGLISH

IELTS Overall 7.5 : Listening 8.0 - Reading 8.0 - Speaking 7.0 - Writing 6.5

L ETTER OF R ECOMMENDATION • For getting letter of recommendation, please send Email to below scholars directly.

R EFERENCES M OUSA M ARZBAND , PH.D.

[email protected] ,[email protected] Assistant Professor — Department of Mechanical and Electrical Engineering Faculty of Engineering and Environment, Northumbria University, Newcastle Upon Tyne, United Kingdom (UK)

H ASSAN R ASHIDI , PH.D.

[email protected] , [email protected] Associate Professor — Department of Mathematics and Computer Science,University of Allameh Tabataba’i, Tehran, Iran

F ERESHTE -A ZADI P ARAND , PH.D.

[email protected] , [email protected] Assistant Professor — Department of Mathematics and Computer Science,University of Allameh Tabataba’i, Tehran, Iran

F AROKH F ORUHANDE , PH.D.

[email protected] Assistant Professor — Department of Mathematics, Shahrood University of Technology , Shahrood , Iran

S ELECTED R EASEACH P ROJECTS 2014 – S PRING

Fire Detection Recently, Ive been involved in a project by my supervisor that its name is Fire detection in a jungle or a company. We performed it as a prototype. At the first step, the temperature sensors (about 20 sensors) were located randomly in the forest. After that, whole sensors transferred data to a single node or an aggregator as real time by using image processing. We used ZigBee module to transfer date. Eventually, we monitored date by SCADA. One of the main disadvantages of ZigBee protocol is that it cant transfer voluminous data such as a movie and it made us change the protocol to GPRS (General Packet Radio Service).During this project, I have familiarized with the basic concept of distributed protocols such as propagation of information and propagation of information with feedback, iMANETs, Wireless ad hoc network and so forth.In fact, the primary objective of an ad-hoc network routing protocol is accurate and efficient route establishment between a pair of nodes.

2014 – S PRING

The Eliciting Objects Of A Large-Scale System I’ve elicited and performed completely whole objects of ATM bank and Virtual Museum by using of Coad & Yourdon and Shlaer & Mellor & etc methods

J ULY 2014

The Working On Smart Grid Scope.The Presenting A Utility Function In Order To Recognize & Choose The Best Utility For Each Smart Agent in Smart Grid I’m conducting research on coalition formation between Micro-grids in Smart Grid by using game theory methods. In Fact, each part of Smart Grid is managed by rational agents like a human. In Smart Grid, rational agents Want to Reach Their goals also maximize their profit by using purchase or sell available energy. Nowadays, the minimizing energy loss or maximizing utility is really vital & important. I’ve submitted a paper about it.In Smart Grid scope, the Micro-grids can interact together in order to minimize power loss. Actually, the coalition formation between Micro-grids is really necessary due to they can maximize & minimize their benefit & loss respectively. This utility function gives each coalition a real number dynamically. Eventually, they can recognize the best coalition via this utility function. Each rational agent can interpret the behavior of other rational agents via Game theory methods. Finally, the utility function is proved that can be convex.

N OVEMBER 2014

The Solving The Optimization Problems Through Advanced Algorithms; Advanced Algorithms For Minimizing the Cost Flow Problems These problems are related to vehicle scheduling in port automation (Published by ”Hassan Rashidi”, ”Edward Tsang”).I’ve solved some of them via heuristic algorithms and optimization methods(such as Benders Decomposition). Eventually,I compared results & reached to interesting results.

D ECEMBER 2016 – P RESENT

The presenting an algorithm for distributing coalitional value calculations among cooperating agents (Micro-grids) in Smart Grid As I pointed out above, Rational agents can cooperate together to minimize power loss. In fact, Coalition formation can be adopted in this area to solve the existing challenges. The process of forming coalitions of software agents generally requires calculating a value for every possible coalition which indicates how beneficial that coalition would be if it was formed. Now, instead of having a single agent (typically an aggregator) calculate all these values, it is more efficient to distribute this calculation among the agents, thus using all the computational resources available to the system and avoiding the existence of a single point of failure. Given this, I’ve presented a novel algorithm for distributing this calculation among agents in cooperative environments like Smart Grid. Specifically, by using our algorithm, each agent is assigned some part of the calculation. the calculation redundancy was reduced from 383229848 to 0, and the total number of bytes sent between the agents dropped from 1146989648 to 0.

F REE T IME A CTIVITIES AR T M USICS W ORKING O UT

Calligraphy Playing A Musical Instrument Volleyball & Fitness