Mohamed Habib Kammoun is an Assistant Professor in Tunisia who specializes in intelligent transportation systems. He holds a PhD in computing systems engineering. His research focuses on using multi-agent modeling, fuzzy logic, ant colony optimization and reinforcement learning to solve transportation problems. He has published papers on adaptive road traffic management systems and vehicle route guidance. He teaches courses in artificial intelligence, algorithms, programming languages, and intelligent systems design at multiple universities in Tunisia.
Most downloaded article for an year - International Journal on Soft Computing...ijsc
Soft computing is likely to play an important role in science and engineering in the future. The successful applications of soft computing and the rapid growth suggest that the impact of soft computing will be felt increasingly in coming years. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. This Open access peer-reviewed journal serves as a platform that fosters new applications for all scientists and engineers engaged in research and development in this fast growing field.
Most Viewed Article for an year in Academia - International Journal on Soft C...ijsc
Soft computing is likely to play an important role in science and engineering in the future. The successful applications of soft computing and the rapid growth suggest that the impact of soft computing will be felt increasingly in coming years. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. This Open access peer-reviewed journal serves as a platform that fosters new applications for all scientists and engineers engaged in research and development in this fast growing field.
Enhancing knowledge sharing in mechatronics system diagnostic and repair (a c...Yekini Nureni
This document discusses a proposed Knowledge-Based Virtual Community System (KBVCS) to enhance knowledge sharing for automotive diagnostic and repair. The system would allow various stakeholders like mechanics, drivers, and apprentices to share information virtually. It presents a conceptual framework and design for the system, which would be web-based and use a database, expert system, and artificial intelligence. Implementation details are provided for technologies, hardware requirements, and software requirements to run the KBVCS. The conclusion recommends the system be developed to reduce congestion at workshops and increase collaboration, with government support for infrastructure.
This document discusses various future transportation technologies and systems, including intelligent transportation systems. It describes technologies like wireless communications, computational technologies, and floating car data that could be applied to intelligent transport. It also outlines unconventional modes of transport like backpack helicopters, jet packs, launch loops, personal rapid transit, rolling highways, moving walkways, and the skyTran system. The goal of these future systems is more efficient, renewable, and smart transportation options.
This document is the curriculum vitae of Eugen Zaharescu, an Associate Professor at Ovidius University in Constanta, Romania. It provides personal details such as his name, date of birth, education history, and employment history. It lists that he received a PhD in Electronics and Telecommunications from Polytechnic University of Bucharest in 1981 and has been teaching courses in image processing, multimedia systems and other topics at Ovidius University since 1992. It also provides details on his research interests and activities in areas such as image processing, data bases and web technologies.
A Study on Road Accidents by Adolescence in Chennai Using Induced Fuzzy Cogni...ijcoa
Accidents are unplanned events which happen in an unforeseen situation. Road accidents caused by two wheelers are of major concern in the life of adults. Two wheelers have poor safety compared to other means of road transportation. The reasons for accidents are many and some are fuzzy in nature. In order to prevent accidents we must know how does it happen? In this paper, we analyze the causes of road accidents by adolescence in Chennai using Induced Fuzzy Cognitive Maps (IFCMs). IFCMs are a fuzzy-graph modeling approach based on expert’s opinion. This is the approach to study the problems with imprecise information.
Most downloaded article for an year - International Journal on Soft Computing...ijsc
Soft computing is likely to play an important role in science and engineering in the future. The successful applications of soft computing and the rapid growth suggest that the impact of soft computing will be felt increasingly in coming years. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. This Open access peer-reviewed journal serves as a platform that fosters new applications for all scientists and engineers engaged in research and development in this fast growing field.
Most Viewed Article for an year in Academia - International Journal on Soft C...ijsc
Soft computing is likely to play an important role in science and engineering in the future. The successful applications of soft computing and the rapid growth suggest that the impact of soft computing will be felt increasingly in coming years. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. This Open access peer-reviewed journal serves as a platform that fosters new applications for all scientists and engineers engaged in research and development in this fast growing field.
Enhancing knowledge sharing in mechatronics system diagnostic and repair (a c...Yekini Nureni
This document discusses a proposed Knowledge-Based Virtual Community System (KBVCS) to enhance knowledge sharing for automotive diagnostic and repair. The system would allow various stakeholders like mechanics, drivers, and apprentices to share information virtually. It presents a conceptual framework and design for the system, which would be web-based and use a database, expert system, and artificial intelligence. Implementation details are provided for technologies, hardware requirements, and software requirements to run the KBVCS. The conclusion recommends the system be developed to reduce congestion at workshops and increase collaboration, with government support for infrastructure.
This document discusses various future transportation technologies and systems, including intelligent transportation systems. It describes technologies like wireless communications, computational technologies, and floating car data that could be applied to intelligent transport. It also outlines unconventional modes of transport like backpack helicopters, jet packs, launch loops, personal rapid transit, rolling highways, moving walkways, and the skyTran system. The goal of these future systems is more efficient, renewable, and smart transportation options.
This document is the curriculum vitae of Eugen Zaharescu, an Associate Professor at Ovidius University in Constanta, Romania. It provides personal details such as his name, date of birth, education history, and employment history. It lists that he received a PhD in Electronics and Telecommunications from Polytechnic University of Bucharest in 1981 and has been teaching courses in image processing, multimedia systems and other topics at Ovidius University since 1992. It also provides details on his research interests and activities in areas such as image processing, data bases and web technologies.
A Study on Road Accidents by Adolescence in Chennai Using Induced Fuzzy Cogni...ijcoa
Accidents are unplanned events which happen in an unforeseen situation. Road accidents caused by two wheelers are of major concern in the life of adults. Two wheelers have poor safety compared to other means of road transportation. The reasons for accidents are many and some are fuzzy in nature. In order to prevent accidents we must know how does it happen? In this paper, we analyze the causes of road accidents by adolescence in Chennai using Induced Fuzzy Cognitive Maps (IFCMs). IFCMs are a fuzzy-graph modeling approach based on expert’s opinion. This is the approach to study the problems with imprecise information.
Integrated tripartite modules for intelligent traffic light systemIJECEIAES
The traffic in urban areas is primarily controlled by traffic lights, contributing to the excessive, if not properly installed, long waiting times for vehicles. The condition is compounded by the increasing number of road accidents involving pedestrians in cities across the world. Thus, this work presents an integrated tripartite module for an intelligent traffic light system. This system has enough ingredients for success that can solve the above challenges. The proposed system has three modules: the intelligent visual monitoring module, intelligent traffic light control module, and the intelligent recommendation module for emergency vehicles. The monitor module is a visual module capable of identifying the conditions of traffic in the streets. The intelligent traffic light control module configures many intersections in a city to improve the flow of vehicles. Finally, the intelligent recommendation module for emergency vehicles offers an optimal path for emergency vehicles. The evaluation of the proposed system has been carried out in Al-Sader city/Bagdad/Iraq. The intelligent recommendation module for the emergency vehicles module shows that the optimization rate average for the optimal path was in range 67.13% to 92%, where the intelligent traffic light control module shows that the optimization ratio was in range 86% to 91.8%.
Bayero University Kano, Post graduate Program, Civil Engineering Department, Masters in Highway Engineering, Advance traffic Engineering Assignment Presentation on a review of Microscopic model using artificial intelligence.
Application of artificial intelligence in microscopic model
Simulation Based Analysis of Bee Swarm Inspired Hybrid Routing Protocol Param...Editor IJCATR
Vehicular Ad-hoc Networks (VANET's) are basically emanated from Mobile Ad hoc networks (MANET's) in which
vehicles act as the mobile nodes, the nodes are vehicles on the road and mobility of these vehicles are very high. The main objective of
VANET is to enhance the safety and amenity of road users. It provides intelligent transportation services in vehicles with the
automobile equipment to communicate and co-ordinates with other vehicles in the same network that informs the driver’s about the
road status, unseen obstacles, internet access and other necessary travel service information’s. The evaluation of vehicular ad hoc
networks applications in based on the simulations. A Realistic Mobility model is a basic component for VANET simulation that
ensures that conclusion drawn from simulation experiments will carry through to real deployments. This paper attempts to evaluate the
performance of a Bee swarm inspired Hybrid routing protocol for vehicular ad hoc network, that protocol should be tested under a
realistic condition including, representative data traffic models, and the realistic movement of the mobile nodes which are the vehicles.
In VANET the simulation of Realistic mobility model has been generated using SUMO and MOVE software and network simulation
has been performed using NS2 simulator, we conducted performance evaluation based on certain metric parameters such as packet
delivery ratio, end-to-end delay and normalized overhead ratio.
This document summarizes an academic paper about using a partially observable Markov decision process to improve handoff latency in an automatic train control system that uses wireless local area networks with multiple-input multiple-output technologies. The objective is to reduce handoff decision time by considering channel estimation errors and balancing multiplexing gain versus diversity gain. It also provides background on train control systems, noting their evolution from mechanical to electromechanical to computer-based systems using wayside communication to determine train locations and ensure safe movement between tracks.
It is application of sensing, analysis, control and communication technologies to ground transportation.
ITS integrates with navigation system to provide drivers with real-time information on the best routes considering traffic conditions.
It is the conventional of the development of next generation technologies.
It plays major role in reducing risk, high accidents rate, traffic congestion, air pollution and on the other hand increasing safety, reliability, efficiencies, travel speed and traffic flow.
It takes vital part in global world
Way to green intelligent traffic control with vanetIAEME Publication
This document summarizes a paper that explores using vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication through vehicular ad-hoc networks (VANETs) to intelligently control traffic flow and enhance safety. The system would use sensors in vehicles and at intersections to detect vehicle and pedestrian positions in real-time. This information would be shared through VANET to dynamically schedule traffic lights based on current traffic conditions, warn drivers of obstacles or pedestrians, and efficiently schedule emergency vehicles. The goal is to create a smarter traffic system that improves traffic flow while enhancing safety for both drivers and pedestrians.
Hanafy Mahmoud Ali is an assistant professor at the Department of Computers and Systems Engineering, Faculty of Engineering, Minia University, El Minia, Egypt. He received his B.Sc., M.Sc. , and Ph.D. degrees from the Electrical Engineering Department, College of Engineering, Minia University, Minia, Egypt in 1997, 2002 and 2008, respectively
Transportation OS: A Simulation Platform to Explore Breakthrough Concepts in ...M. Ilhan Akbas
Today, transportation planners are asked to optimize the transportation system such that every participant has minimal latency while the costs of the overall infrastructure are minimized. The tools at hand focus on road design, signage, and traffic light management. These tools are coarse grained and must manage a variable degree of compliance from human drivers. Overall, this is a very difficult task. Perhaps the biggest opportunity for the transportation system is the electronics technology revolution, which makes many powerful tools available. These include the availability of customer point-to-point information (cellphone applications), dynamic traffic management (smart lights), and directive agents (Autonomous Vehicles or Commercial Fleets). Further, with the availability of these tools, fundamentally new customer engagement models can be enabled to optimize the transportation system. In this paper we present the Transportation OS, a next generation simulation environment, which is built to explore break-out models enabled by bottom-up electronics infrastructure. T-OS is differentiated by exploring concepts such as micro-tolling and dynamic traffic management combined with a top-down market based optimization paradigm.
The document discusses a proposed distributed traffic management system. It motivates the need for such a system due to problems with road congestion. It then outlines the proposed solution of using traffic management and intelligent transportation systems. It describes the application architecture, which uses technologies like Java, Qt, and PostgreSQL. It also discusses how open street maps and traffic simulation formats are integrated. Key aspects of the system like route editing, traffic light logic, vehicle simulation, and data visualization are covered. The benefits of a dynamic versus static approach are cited. Overall conclusions discuss future directions.
REVIEW OF MICROSCOPIC TRAFFIC MODEL USING ARTIFICIAL INTELLIGENCEAnikohAbraham
1) The document reviews an artificial intelligence microscopic traffic model (AITM) that uses equations of linear and radial motion as well as oriented bounding boxes for collision detection to simulate vehicle behavior.
2) The AITM allows researchers to generate traffic scenarios and optimize traffic control using complex data processing. It provides a virtual environment to study topics like traffic flow, emissions and fuel efficiency.
3) While the AITM provides realistic traffic simulations, it also has limitations like high costs and lack of responsive human-driven vehicles in driving simulators. Future research areas include improved human behavior models and high-fidelity multi-user capabilities.
This document summarizes a research paper on using cloud computing for intelligent transportation systems. The paper proposes using intelligent transportation clouds to provide services like traffic management strategies and decision support. It describes a prototype using multi-agent systems with mobile agents to manage traffic. Cloud computing can help handle large data storage and transportation needs efficiently. Intelligent transportation clouds could overcome issues with computing power, storage, and scalability faced by current traffic management systems.
The document discusses Intelligent Transportation Systems (ITS). ITS uses technologies like sensors, microchips and wireless communication to make transportation systems more efficient and safe. It allows different elements of transportation infrastructure like vehicles, traffic lights and message signs to communicate with each other. ITS aims to reduce traffic, environmental impact and accidents through real-time traffic information and communication between vehicles and infrastructure. ITS has become necessary due to high road accident deaths worldwide. Traditional safety improvements are not enough to address this problem so ITS provides a better solution through improved safety, mobility and connectivity. The document outlines some ITS applications for traffic management, commuters and emergency response.
The realistic mobility evaluation of vehicular ad hoc network for indian auto...ijasuc
In recent years, continuous progress in wireless communication has opened a new research field in
computer networks. Now a day’s wireless ad-hoc networking is an emerging research technology that
needs attention of the industry people and the academicians. A vehicular ad-hoc network uses vehicles as
mobile nodes to create mobility in a network.
It’s a challenge to generate realistic mobility for Indian networks as no TIGER or Shapefile map is
available for Indian Automotive Networks.
This paper simulates the realistic mobility of the Vehicular Ad-hoc Networks (VANETs). The key feature of
this work is the realistic mobility generation for the Indian Automotive Intelligent Transport System (ITS)
and also to analyze the throughput, packet delivery fraction (PDF) and packet loss for realistic scenario.
The experimental analysis helps in providing effective communication for safety to the driver and
passengers.
Evolutionary reinforcement learning multi-agents system for intelligent traf...IJECEIAES
The document summarizes a research paper that proposes a new approach called evolutionary reinforcement learning multi-agents system (ERL-MA) for intelligent traffic light control. The ERL-MA system combines computational intelligence and machine learning. It consists of two layers: a modeling layer that uses intersection modeling to understand junction constraints, and a decision layer that uses a novel greedy genetic algorithm and Q-learning to determine optimal phase sequences and signal timings. The approach is evaluated using a real-world traffic simulation scenario from Bologna, Italy. Results show the ERL-MA system achieves competitive performance compared to other adaptive traffic control systems in terms of various metrics.
Presentation by Tyron Louw at 2nd SIP-adus Workshop on Connected and Automated Driving Systems, Tokyo, October 2015
www.sip-adus.jp/workshop/program/speaker/profile/hf/linton.html
This document summarizes Dr. I.A. Sumra's research on using computing methods to secure vehicular ad hoc networks (VANETs). It discusses how VANETs work and their safety and non-safety applications. It also outlines key security requirements for VANETs like identification, authentication, privacy, and availability. The document then reviews various computing methods that could help secure VANETs, including cloud computing, grid computing, soft computing, trusted computing, quantum computing, pervasive computing, and their relationship to addressing security challenges in VANETs posed by dynamic topologies and attacker behaviors.
Cost Effective SMS Fire Approach for Transportation based on Vehicle Speediosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
This document proposes a speed-based SMS scheduling technique for vehicle tracking systems to reduce costs and database complexity. Existing techniques like time-based, distance-based, and manual SMS scheduling have limitations when traffic is congested or the vehicle breaks down. The proposed technique sends more SMS at low speeds and fewer SMS at high speeds. It was tested on routes of a public transportation system and showed improvements over existing techniques by sending fewer total SMS, reducing costs and database load. The technique makes the tracking system more efficient and reliable for monitoring vehicle locations.
Intelligent transportation system based on iot service for traffic controlMahmudulHasan474
This document discusses the development of an intelligent transportation system based on IoT to help control traffic and reduce congestion. It proposes a system that would use sensors and real-time data collection to monitor traffic conditions and automatically adjust traffic light signals accordingly. This is aimed to improve traffic flow and reduce time wasted in traffic jams. The system would collect data from vehicles and sensors around roads to analyze traffic patterns and control lights based on current traffic density to minimize congestion in a smart, dynamic way.
Integrated tripartite modules for intelligent traffic light systemIJECEIAES
The traffic in urban areas is primarily controlled by traffic lights, contributing to the excessive, if not properly installed, long waiting times for vehicles. The condition is compounded by the increasing number of road accidents involving pedestrians in cities across the world. Thus, this work presents an integrated tripartite module for an intelligent traffic light system. This system has enough ingredients for success that can solve the above challenges. The proposed system has three modules: the intelligent visual monitoring module, intelligent traffic light control module, and the intelligent recommendation module for emergency vehicles. The monitor module is a visual module capable of identifying the conditions of traffic in the streets. The intelligent traffic light control module configures many intersections in a city to improve the flow of vehicles. Finally, the intelligent recommendation module for emergency vehicles offers an optimal path for emergency vehicles. The evaluation of the proposed system has been carried out in Al-Sader city/Bagdad/Iraq. The intelligent recommendation module for the emergency vehicles module shows that the optimization rate average for the optimal path was in range 67.13% to 92%, where the intelligent traffic light control module shows that the optimization ratio was in range 86% to 91.8%.
Bayero University Kano, Post graduate Program, Civil Engineering Department, Masters in Highway Engineering, Advance traffic Engineering Assignment Presentation on a review of Microscopic model using artificial intelligence.
Application of artificial intelligence in microscopic model
Simulation Based Analysis of Bee Swarm Inspired Hybrid Routing Protocol Param...Editor IJCATR
Vehicular Ad-hoc Networks (VANET's) are basically emanated from Mobile Ad hoc networks (MANET's) in which
vehicles act as the mobile nodes, the nodes are vehicles on the road and mobility of these vehicles are very high. The main objective of
VANET is to enhance the safety and amenity of road users. It provides intelligent transportation services in vehicles with the
automobile equipment to communicate and co-ordinates with other vehicles in the same network that informs the driver’s about the
road status, unseen obstacles, internet access and other necessary travel service information’s. The evaluation of vehicular ad hoc
networks applications in based on the simulations. A Realistic Mobility model is a basic component for VANET simulation that
ensures that conclusion drawn from simulation experiments will carry through to real deployments. This paper attempts to evaluate the
performance of a Bee swarm inspired Hybrid routing protocol for vehicular ad hoc network, that protocol should be tested under a
realistic condition including, representative data traffic models, and the realistic movement of the mobile nodes which are the vehicles.
In VANET the simulation of Realistic mobility model has been generated using SUMO and MOVE software and network simulation
has been performed using NS2 simulator, we conducted performance evaluation based on certain metric parameters such as packet
delivery ratio, end-to-end delay and normalized overhead ratio.
This document summarizes an academic paper about using a partially observable Markov decision process to improve handoff latency in an automatic train control system that uses wireless local area networks with multiple-input multiple-output technologies. The objective is to reduce handoff decision time by considering channel estimation errors and balancing multiplexing gain versus diversity gain. It also provides background on train control systems, noting their evolution from mechanical to electromechanical to computer-based systems using wayside communication to determine train locations and ensure safe movement between tracks.
It is application of sensing, analysis, control and communication technologies to ground transportation.
ITS integrates with navigation system to provide drivers with real-time information on the best routes considering traffic conditions.
It is the conventional of the development of next generation technologies.
It plays major role in reducing risk, high accidents rate, traffic congestion, air pollution and on the other hand increasing safety, reliability, efficiencies, travel speed and traffic flow.
It takes vital part in global world
Way to green intelligent traffic control with vanetIAEME Publication
This document summarizes a paper that explores using vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication through vehicular ad-hoc networks (VANETs) to intelligently control traffic flow and enhance safety. The system would use sensors in vehicles and at intersections to detect vehicle and pedestrian positions in real-time. This information would be shared through VANET to dynamically schedule traffic lights based on current traffic conditions, warn drivers of obstacles or pedestrians, and efficiently schedule emergency vehicles. The goal is to create a smarter traffic system that improves traffic flow while enhancing safety for both drivers and pedestrians.
Hanafy Mahmoud Ali is an assistant professor at the Department of Computers and Systems Engineering, Faculty of Engineering, Minia University, El Minia, Egypt. He received his B.Sc., M.Sc. , and Ph.D. degrees from the Electrical Engineering Department, College of Engineering, Minia University, Minia, Egypt in 1997, 2002 and 2008, respectively
Transportation OS: A Simulation Platform to Explore Breakthrough Concepts in ...M. Ilhan Akbas
Today, transportation planners are asked to optimize the transportation system such that every participant has minimal latency while the costs of the overall infrastructure are minimized. The tools at hand focus on road design, signage, and traffic light management. These tools are coarse grained and must manage a variable degree of compliance from human drivers. Overall, this is a very difficult task. Perhaps the biggest opportunity for the transportation system is the electronics technology revolution, which makes many powerful tools available. These include the availability of customer point-to-point information (cellphone applications), dynamic traffic management (smart lights), and directive agents (Autonomous Vehicles or Commercial Fleets). Further, with the availability of these tools, fundamentally new customer engagement models can be enabled to optimize the transportation system. In this paper we present the Transportation OS, a next generation simulation environment, which is built to explore break-out models enabled by bottom-up electronics infrastructure. T-OS is differentiated by exploring concepts such as micro-tolling and dynamic traffic management combined with a top-down market based optimization paradigm.
The document discusses a proposed distributed traffic management system. It motivates the need for such a system due to problems with road congestion. It then outlines the proposed solution of using traffic management and intelligent transportation systems. It describes the application architecture, which uses technologies like Java, Qt, and PostgreSQL. It also discusses how open street maps and traffic simulation formats are integrated. Key aspects of the system like route editing, traffic light logic, vehicle simulation, and data visualization are covered. The benefits of a dynamic versus static approach are cited. Overall conclusions discuss future directions.
REVIEW OF MICROSCOPIC TRAFFIC MODEL USING ARTIFICIAL INTELLIGENCEAnikohAbraham
1) The document reviews an artificial intelligence microscopic traffic model (AITM) that uses equations of linear and radial motion as well as oriented bounding boxes for collision detection to simulate vehicle behavior.
2) The AITM allows researchers to generate traffic scenarios and optimize traffic control using complex data processing. It provides a virtual environment to study topics like traffic flow, emissions and fuel efficiency.
3) While the AITM provides realistic traffic simulations, it also has limitations like high costs and lack of responsive human-driven vehicles in driving simulators. Future research areas include improved human behavior models and high-fidelity multi-user capabilities.
This document summarizes a research paper on using cloud computing for intelligent transportation systems. The paper proposes using intelligent transportation clouds to provide services like traffic management strategies and decision support. It describes a prototype using multi-agent systems with mobile agents to manage traffic. Cloud computing can help handle large data storage and transportation needs efficiently. Intelligent transportation clouds could overcome issues with computing power, storage, and scalability faced by current traffic management systems.
The document discusses Intelligent Transportation Systems (ITS). ITS uses technologies like sensors, microchips and wireless communication to make transportation systems more efficient and safe. It allows different elements of transportation infrastructure like vehicles, traffic lights and message signs to communicate with each other. ITS aims to reduce traffic, environmental impact and accidents through real-time traffic information and communication between vehicles and infrastructure. ITS has become necessary due to high road accident deaths worldwide. Traditional safety improvements are not enough to address this problem so ITS provides a better solution through improved safety, mobility and connectivity. The document outlines some ITS applications for traffic management, commuters and emergency response.
The realistic mobility evaluation of vehicular ad hoc network for indian auto...ijasuc
In recent years, continuous progress in wireless communication has opened a new research field in
computer networks. Now a day’s wireless ad-hoc networking is an emerging research technology that
needs attention of the industry people and the academicians. A vehicular ad-hoc network uses vehicles as
mobile nodes to create mobility in a network.
It’s a challenge to generate realistic mobility for Indian networks as no TIGER or Shapefile map is
available for Indian Automotive Networks.
This paper simulates the realistic mobility of the Vehicular Ad-hoc Networks (VANETs). The key feature of
this work is the realistic mobility generation for the Indian Automotive Intelligent Transport System (ITS)
and also to analyze the throughput, packet delivery fraction (PDF) and packet loss for realistic scenario.
The experimental analysis helps in providing effective communication for safety to the driver and
passengers.
Evolutionary reinforcement learning multi-agents system for intelligent traf...IJECEIAES
The document summarizes a research paper that proposes a new approach called evolutionary reinforcement learning multi-agents system (ERL-MA) for intelligent traffic light control. The ERL-MA system combines computational intelligence and machine learning. It consists of two layers: a modeling layer that uses intersection modeling to understand junction constraints, and a decision layer that uses a novel greedy genetic algorithm and Q-learning to determine optimal phase sequences and signal timings. The approach is evaluated using a real-world traffic simulation scenario from Bologna, Italy. Results show the ERL-MA system achieves competitive performance compared to other adaptive traffic control systems in terms of various metrics.
Presentation by Tyron Louw at 2nd SIP-adus Workshop on Connected and Automated Driving Systems, Tokyo, October 2015
www.sip-adus.jp/workshop/program/speaker/profile/hf/linton.html
This document summarizes Dr. I.A. Sumra's research on using computing methods to secure vehicular ad hoc networks (VANETs). It discusses how VANETs work and their safety and non-safety applications. It also outlines key security requirements for VANETs like identification, authentication, privacy, and availability. The document then reviews various computing methods that could help secure VANETs, including cloud computing, grid computing, soft computing, trusted computing, quantum computing, pervasive computing, and their relationship to addressing security challenges in VANETs posed by dynamic topologies and attacker behaviors.
Cost Effective SMS Fire Approach for Transportation based on Vehicle Speediosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
This document proposes a speed-based SMS scheduling technique for vehicle tracking systems to reduce costs and database complexity. Existing techniques like time-based, distance-based, and manual SMS scheduling have limitations when traffic is congested or the vehicle breaks down. The proposed technique sends more SMS at low speeds and fewer SMS at high speeds. It was tested on routes of a public transportation system and showed improvements over existing techniques by sending fewer total SMS, reducing costs and database load. The technique makes the tracking system more efficient and reliable for monitoring vehicle locations.
Intelligent transportation system based on iot service for traffic controlMahmudulHasan474
This document discusses the development of an intelligent transportation system based on IoT to help control traffic and reduce congestion. It proposes a system that would use sensors and real-time data collection to monitor traffic conditions and automatically adjust traffic light signals accordingly. This is aimed to improve traffic flow and reduce time wasted in traffic jams. The system would collect data from vehicles and sensors around roads to analyze traffic patterns and control lights based on current traffic density to minimize congestion in a smart, dynamic way.
Intelligent transportation system based on iot service for traffic control
cv_habib_kammoun
1. Mohamed Habib
KAMMOUN
PhD, IEEE Senior Member, Google Developer
Assistant Professor, University of Sfax, Tunisia
Curriculum vitæ
Personal Data
Date of birth January 29, 1980
Place of birth Sfax (Tunisia)
Civil status Married, 1 Child
Nationality Tunisian
Address Av. Farhat Hached, 13 Rue Bella-Rigia, 3000 Sfax (Tunisia)
(+216) 98 414 608 / 55 414 610
(+216) 74 677 545
habib.kammoun@ieee.org ; @regim.org ; @enis.rnu.tn
Web page http://kammoun.regim.org/
Current Situation
Assistant Professor, Department of Computer Science and Communications
Faculty of Sciences (FSS), University of Sfax, Tunisia
Member of Research Groups in Intelligent Machines (REGIM-Lab.)
National Engineering School (ENIS), University of Sfax, Tunisia
IEEE Tunisia section chair
Diplomas
April 2015 Doctoral Degree on Computing System Engineering
National Engineering School (ENIS), University of Sfax, Tunisia
Sept. 2005 Master Degree on Computer Science, Dedicated Computer System New Technologies
(NTSID)
National Engineering School (ENIS), University of Sfax, Tunisia
June 2003 Four-year University Degree on Computer Science
Faculty of Sciences, University of Sfax, Tunisia
June 2001 D.U.E.S. Degree on Mathematics, Physics, Chemistry, Computer Science
Faculty of Sciences, University of Sfax, Tunisia
June 1998 Baccalaureate on Technology
April 9, 1938 secondary School, Sfax, Tunisia
Curriculum vitæ - Habib M. KAMMOUN - December 31, 2015 1/11
2. Employment
Since Sept.15 Assistant Professor, Department of Computer Science and Communications
Faculty of Sciences (FSS), University of Sfax, Tunisia
Sept.13 - Aug.
15
Assistant, Department of Computer Science and Communications
Faculty of Sciences (FSS), University of Sfax, Tunisia
Sept.08 - Aug.13 Assistant, Department of Computer Science
Faculty of Sciences, University of Gafsa, Tunisia
Sept.05 - Aug.08 Contractual assistant, Department of Computer Science and Communications
Faculty of Sciences, University of Sfax, Tunisia
Sept.03 - Aug.05 Researcher student, Department of Computer Science and Communications
Faculty of Sciences, University of Sfax, Tunisia
Research Activities
Research Interests
My research interests focus on the design of intelligent approaches to solve real-world
problems, especially transportation problems. In this context, I am interested in some
fields :
- MultiAgent Modeling and Simulation
- Fuzzy Logic
- Ant Colony Optimization
- Reinforcement Learning
- Vehicle Route Guidance System
- Road Traffic Simulation
Thesis
Subject Hybrid MultiAgent Road Traffic Management System : Assets of Ant-Hierarchical Fuzzy
Behavior in System Adaptativity
Abstract Road networks are characterized by their great dynamics including different entities in
interactions. This leads to more complex road traffic management. This thesis proposes
an adaptive multiagent system based on the ant colony behavior and the hierarchical
fuzzy model. This system allows adjusting efficiently the road traffic according to the
real-time changes in road networks by the integration of an adaptive vehicle route
guidance system. The proposed system is implemented and simulated under a multiagent
platform in order to discuss the improvement of the global road traffic quality in terms
of time, fluidity and adaptivity.
Field Computing System Engineering
National Engineering School, University of Sfax, Tunisia
Advisor Prof. Adel M. Alimi, REGIM-Lab., ENIS, Univ. of Sfax, Tunisia
(+216) 74 274 090 ; (+216) 74 275 595
adel.alimi@ieee.org - Web page : http://adel.alimi.regim.org/
Co-Advisor Prof. Jorge Casillas, Soft Computing and Intelligent Information Systems Laboratory
(SCI2S), Univ. of Granada, Spain
(+34) 958 240804 ; (+34) 958 243317
casillas@decsai.ugr.es - Web page : http://decsai.ugr.es/~casillas/
Co-Advisor Prof. Ilhem Kallel, ISIMS, Univ. of Sfax, Tunisia
(+216) 74 274 090 ; (+216) 74 677 545
ilhem.kallel@ieee.org
Curriculum vitæ - Habib M. KAMMOUN - December 31, 2015 2/11
3. Master
Title MultiAgent Modeling and Simulation of Autonomous Agents’ cooperation for Road
Supervision Framework (In French)
Abstract This work is placed in the context of conception, modelling and simulation of complex
systems, more especially the administration of road networks. It is integrated in the set-
ting of two recent domains : the multi-agent approach and the intelligent transport sys-
tems ITS. We present an architecture of road supervision system based on multi-agent
approach, called RoSMAS. This architecture is based on the Aalaadin organizational
model. A system design has been achieved using the AUML. A road network simu-
lator, RoSMAS2, has been achieved while using MadKit multi-agent platform. Some
simulation results are also presented.
Field Dedicated Computer System New Technologies (NTSID)
National Engineering School, University of Sfax, Tunisia
Advisor Prof. Mohamed Adel Alimi, REGIM-Lab., ENIS, Univ. of Sfax, Tunisia
Publications
Journal Paper
Habib M. Kammoun, Ilhem Kallel, Jorge Casillas, Ajith Abraham, Adel M. Alimi
(2014). Adapt-Traf : an Adaptive MultiAgent Road Traffic Management System based
on Hybrid Ant Hierarchical Fuzzy Model. Transportation Research Part C : Emerging
Technologies, vol.42, May 2014, pp.147-167.
International Book Chapter
Habib M. Kammoun, Ilhem Kallel, Adel M. Alimi (2008). A Hierarchical Fuzzy
Controller for Route Choice Problem. In New Developments in Robotics, Automation
and Control, InTech Open Access Publisher, ed. by A. Lazinica, Oct. 2008, pp.285-302.
International Conferences
11 Mariam Zouari, Sahar Cherif, Habib M. Kammoun, Hela Lajmi, Adel M. Alimi (2015).
Towards Type-2 Fuzzy Rule Base System for Road Choice. 15th International Confe-
rence on Intelligent Systems Design and Applications ISDA, December 2015, Marrakesh-
Morocco.
10 Hela Lajmi, Habib M. Kammoun, Adel M. Alimi (2015). Advanced control units’
diagnostic based on Ethernet for smart cars. 4th IEEE Int. Conf. on Advanced Logistics
and Transport ICALT, May 2015, Valenciennes-France, pp.269-274.
9 Hela Lajmi, Habib M. Kammoun, Adel M. Alimi (2014). Ethernet Video Analyzer for
Vehicle. 3rd Int. Conf. on Connected Vehicles and Expo ICCVE, Nov. 2014, Vienna-
Austria, pp.58-63.
8 Habib M. Kammoun, Ilhem Kallel, Adel M. Alimi (2012). Accuracy Preserving Inter-
pretability by a Hierarchical Fuzzy MultiAgent Design for Mobile Robot Controller. Int.
Conf. on Innovative Engineering Systems ICIES, Dec. 2012, Egypt, pp.190-195.
7 Kais Dai, Habib M. Kammoun, Adel M. Alimi (2012). H-FQL : A New Reinforcement
Learning Method for Automatic Hierarchization of Fuzzy Systems. IEEE 6th Int. Conf.
on Intelligent Systems IS, Sept. 2012, Sofia-Bulgaria, pp.54-59.
Curriculum vitæ - Habib M. KAMMOUN - December 31, 2015 3/11
4. 6 Habib M. Kammoun, Ilhem Kallel, Jorge Casillas, Adel M. Alimi (2011). Improvement
of the Road Traffic Management by an Ant-Hierarchical Fuzzy System. IEEE Symposium
on Computational Intelligence in Vehicles and Transportation Systems CIVTS, SSCI
2011, Apr. 2011, Paris-France, pp.38-45.
5 Habib M. Kammoun, Ilhem Kallel, Jorge Casillas, Adel M. Alimi. (2010). An Adaptive
Vehicle Guidance System instigated from Ant Colony Behavior. IEEE Int. Conf. on
Systems, Man, and Cybernetics SMC, Oct. 2010, Istanbul-Turkey, pp.2948-2955.
4 Sonia Kefi, Habib M. Kammoun, Ilhem Kallel, Adel M. Alimi (2010). Hybrid Fuzzy-
MutiAgent Planning for Robust Mobile Robot Motion. IEEE World Congress on Com-
putational Intelligence WCCI, July 2010, Barcelona-Spain, pp.1886-1893.
3 Habib M. Kammoun, Ilhem Kallel, Jorge Casillas, Adel M. Alimi (2008). A Road
Traffic MultiAgent Simulation using TurtleKit under MadKit. 9th Int. Conf. on Artificial
Intelligence and Soft Computing ICAISC, In Challanging Problems of Science series,
Computational Intelligence : Method and Applications, June 2008, Zakopane-Poland,
pp.503-514.
2 Habib M. Kammoun, Ilhem Kallel, Adel M. Alimi (2007). A Joint Hierarchical Fuzzy-
MultiAgent Model Dealing with Route Choice Problem. 4th Int. Conf. on Informatics
in Control, Automation and Robotics ICINCO, May 2007, Angers-France, pp.394-397.
1 Habib M. Kammoun, Ilhem Kallel, Adel M. Alimi (2005). RoSMAS2 : Road Super-
vision based Multi-Agent System Simulation. 2nd International Conference on Machine
Intelligence ACIDCA-ICMI, November 2005, Tozeur-Tunisia, pp.203-210.
Patent
Habib M. Kammoun, Ilhem Kallel, Adel M. Alimi (TN2009/0279) Systeme de gestion
du trafic routier integrant une methode de profilage du conducteur d’un vehicule et de
recherche du meilleur itineraire (nomme Systeme "Wajih"). INORPI, Tunisia.
Reports
3 Habib M. Kammoun (2015) Hybrid MultiAgent Road Traffic Management System :
Assets of Ant-Hierarchical Fuzzy Behavior in System Adaptativity. Doctoral thesis on
Computing System Engineering, National Engineering School (ENIS), Univ. of Sfax,
Tunisia.
2 Habib M. Kammoun (2005) MultiAgent Approach and Simulation for Road Super-
vision (In French). Master thesis on Dedicated Computer System New Technologies,
National Engineering School (ENIS), University of Sfax, Tunisia.
1 Habib M. Kammoun (2003) Development of a components library (In French). Four-
year Univ. Degree Report on Computer Science, Faculty of Sciences (FSS), Univ. of
Sfax, Tunisia.
Curriculum vitæ - Habib M. KAMMOUN - December 31, 2015 4/11
5. Pedagogical Activities
Teaching Experiences
in French, at the Faculty of Sciences of Sfax (FSS), of Gafsa (FSGf), at the National
Engineering School of Sfax (ENIS), at the International Institute of Technology of Sfax
(IIT), and at the Polytechnic Institute of Sfax (IPSAS) :
Subject Type School
Artificial intelligence Lecture,Tutorial FSS, FSGf, IIT, IPSAS
Algorithms and Data Structures I&II Lecture,Tutorial FSS, FSGf
Advanced Algorithms Tutorial FSS
C Programming Language Lecture, Practical FSS
C++ O.O Programming Language Tutorial FSS
C2i Integrated Course FSGf
Compiler Lecture,Tutorial FSGf
Formal language theory Lecture,Tutorial FSGf
Graph Theory Tutorial FSS
Intelligent System Design (MAS) Integrated Course ENIS
Mathematical logic Lecture,Tutorial FSGf
Faculty Responsibilities
Sept.12-Aug.13 Member of the Scientific Board, Faculty of Sciences, Univ. Gafsa, Tunisia
2008/2010 Deliberation president of LFSI2 (2008/2009 and 2009/2010), Faculty of Sciences, Univ.
Gafsa, Tunisia
Pedagogical, Soft skills, and Continuous Trainings
September 2015 Instructional Designer / Trainer Certificate, N-Training
June 15-17, 15 Quality Management Systems QMS Internal Auditor / lead Auditor (ISO 19011 : 2011,
Business Training, Sfax-Tunisia
June 2015 Efficient Trainer Certificate, N-Training
June 13-14, 14 IEEE Teachers in Service program (TISP) workshop, Dubai-UAE
May 10-11, 14 Training on ISO 9001 : 2008 quality management and FD X50-550, Business Training,
Sfax-Tunisia
March 20-23, 14 Training of trainers workshop, N-Training, Sousse-Tunisia
Dec.11 - Jan.12 English for Communication and Research, Schooling Plus, Sfax-Tunisia
Dec. 18-22, 11 Leadership Winter School LWS, Hammamet-Tunisia
Dec. 8-10, 2011 Application of Research Methodologies in Information Systems Research, PARE-
NIS/TEMPUS, Sfax-Tunisia
Jul. 19-23, 11 Summer School on Innovation SSI, Sousse-Tunisia
Dec. 15-17, 10 Training and Coaching workshop on Leadership and Ethics Empowerment for Young
Professionals, Hammamet-Tunisia
2008-2009-2010 11 Pedagogical training sessions, University of Gafsa-Tunisia
March21-25, 08 Spring School on Practice of free software (in French), EPL2, Gammarth-Tunisia
February 08 English for academic purposes - Speaking in academic settings, ENIS, Sfax-Tunisia
January 2008 Computer Science and Internet Certificate (C2i), Virtual University of Tunisia
Curriculum vitæ - Habib M. KAMMOUN - December 31, 2015 5/11
6. Dec.26-29, 07 Winter School on document preparation system : LaTeX (in French), ECO-LATEX,
Manastir-Tunisia
Nov. 07 English for academic purposes - Listening in academic settings, ENIS, Sfax-Tunisia
Nov.14, 07 Pedagogy Seminar, ESSTSS, Sfax, Tunisia
July 2-6, 07 LPI 101 Linux Certification Training (in French), Linux Professional Institute, AUF -
ADCNS, Sfax-Tunisia
March 19-23, 07 Transfer Training Workshop 3.2 : Design, development and use of online course (in
French), AUF - University of Kairouan, ISIGK, Kairouan-Tunisia
April, 05 Pedagogical Training Course, ENIS, Sfax-Tunisia
Apr. 13-14, 04 Spring Course on Pedagogy, ENIS, Sfax-Tunisia
Supervision Activities
2011/2012 Co-supervision of research master project : "Automatic Hierarchization of Fuzzy Systems
based on Reinforcement Learning : Application for Road Network", ENIS, Sfax-Tunisia
2009–>2011 Co-supervision of 2 professional master projects, ENIS, Sfax-Tunisia
2008–>2015 Supervision of 10 final projects, FSS and FSGf, Tunisia
Scientific and Technical Activities
Event Attendances
Sept. 15-18, 15 18th IEEE Int. Conf. Intelligent Transportation Systems (ITSC), Canary Islands-Spain
Feb. 9-10, 15 Afro-European Workshop, VSB-Technical University of Ostrava, Czech Republic
Nov. 21-23, 14 World Robotics Olympiad (WRO), Sochi-Russia
Sept. 10-11, 14 IEEE EPICS Workshop (Speaker), Egyptian Engineering Day (EED), Cairo-Egypt
Jul.31-Aug.2, 14 4th North American Engineers Group (NATEG) Days, Sfax-Tunisia
June 23-26, 14 GDG Global Organizer Summit and Google I/O, San Francisco-USA
Sept. 6-8, 12 IEEE 6th International Conference Intelligent Systems IS, Sofia-Bulgaria
Sept. 4, 12 Summer School On Cybernetics, Sofia-Bulgaria
Apr. 11-15, 11 IEEE Symposium Series on Computational Intelligence SSCI, Paris-France
Dec. 27-29, 10 2nd Doctoral School on Science and Technology JEDST (in French), Monastir-Tunisia
Oct. 10-13, 10 IEEE International Conf. on Systems, Man, and Cybernetics SMC, Istanbul-Turkey
July 18-23, 10 IEEE World Congress on Computational Intelligence WCCI, Barcelona-Spain
Aug. 23-29, 09 Advanced Course in Artificial Intelligence Summer school ACAI, Belfast, Northern
Ireland-United Kingdom
June 22-26, 08 9th International Conference on Artificial Intelligence and Soft Computing ICAISC,
Zakopane-Poland
Dec.13-14, 07 5th European Workshop on Multi-Agent Systems EUMAS, Hammamet-Tunisia
May 9-12, 07 4th International Conference on Informatics in Control, Automation and Robotics
ICINCO, Angers-France
Nov.24-25, 06 50th Anniversary of Artificial Intelligence : Past, Present and Future (in French), ATIA
- INSAT, Tunis-Tunisia
March23-26, 06 6th Conference on Electric and Computer Science GEI (in French),Hammamet-Tunisia
Curriculum vitæ - Habib M. KAMMOUN - December 31, 2015 6/11
7. Research Projects
Jan.11-Dec.14 Member of REGIM-Lab.’s project
Title Towards Smart Cars Navigation
Jan.05 - Dec.05 Member of Tunisian-Spanish cooperation project
Title Remote Control of Adaptive and Self-governing Mobile Robot Systems to Perform Joint
Task by Beta-type Genetic Fuzzy Systems
Partner Soft Computing and Intelligent Information Systems (SCI2S) Laboratory, University of
Granada, Spain
Research Stays and Scientific Visits
June 20, 2014 Research visit to the California Partners for Advanced Transportation Tech-
nology (PATH) program of the University of California, Berkeley, USA.
http ://www.path.berkeley.edu
July 6-16, 2010 Research stay supervised by Jorge Casillas, Thesis Advancement, in SCI2S Labora-
tory (Soft Computing and Intelligent Information Systems), Department of Computer
Science and Artificial Intelligence (DECSAI), University of Granada, Spain.
May 6-June 22,
2008
Research stay supervised by Jorge Casillas, Thesis Advancement, in SCI2S Labora-
tory (Soft Computing and Intelligent Information Systems), Department of Computer
Science and Artificial Intelligence (DECSAI), University of Granada, Spain.
May 14-June 9,
2007
Research stay supervised by Jorge Casillas, Thesis Advancement, in SCI2S Labora-
tory (Soft Computing and Intelligent Information Systems), Department of Computer
Science and Artificial Intelligence (DECSAI), University of Granada, Spain.
Nov.30-Dec.24,
2007
Research stay as part of the Tunisian-Spanish cooperation project (code 39/04/P), in
SCI2S Laboratory (Soft Computing and Intelligent Information Systems), Department
of Computer Science and Artificial Intelligence (DECSAI), University of Granada, Spain.
Associative Activities
Memberships
Since March 12 Machine Intelligence Research Labs (MIR Labs), USA
Since Aug. 11 Association of Sustainable Innovation in Tunisia
2009 Member of French Association for Artificial Intelligence (AFIA)
2006-2007 Member of Tunisian Association for Artificial Intelligence (ATIA)
Since Sept. 06 Member of Scientific Association for Research and Technological Innovation Support
(ASARIT)
Since April 06 Member of Institute of Electric and Electronic Engineering (IEEE), IEEE Computational
Intelligence Society (CIS), IEEE Computer Society (CS), and IEEE Systems, Man, and
Cybernetics (SMCS)
Since Sept. 04 Member of Research Groups in Intelligent Machines (REGIM Laboratory)
Curriculum vitæ - Habib M. KAMMOUN - December 31, 2015 7/11
8. Volunteering Positions
2015-2016 IEEE Tunisia Section, Chair
2015-2016 IEEE Region8 (Europe-Africa-MiddleEast) Strategic Planning Subcommittee, Member
2015-2016 IEEE IA Society Student Branch Chapters Area (Africa & Middle East), Chair
2015 IEEE CI Society chapters committee, Member
2015-2016 IEEE SMCS Tunisia Chapter, Chair
2015-2017 Association ASARIT, Treasurer
2014-2016 Association of Sustainable Innovation in Tunisia, Treasurer
2014-2015 IEEE Region 8 Professional Activities SubCommittee, Member
2014 IEEE ITSS Tunisia Chapter, Founder and Chair
2013-2015 IEEE CIS Student Activities Committee, Member
2013-2014 IEEE IAS Tunisia Chapter, Chair
2013-2014 IEEE CIS Tunisia Chapter, Chair
2013-2014 IEEE SMCS Tunisia Chapter, Vice-chair
2013-2014 IEEE GOLD Tunisia Affinity Group, Vice-chair
Since Jan.2013 IEEE Student Branch in ENIS, Counselor
Since Mar. 2012 Google Developers Group (GDG) Sfax, Founder and Chair
2011-2013 Association of Sustainable Innovation @ Tunisia, General Secretary and co-founder
2011-2012 IEEE Industry Applications Society Tunisia chapter, treasurer
2011-2012 IEEE GOLD Tunisia Affinity Group, chair
2011-2012 IEEE Computational Intelligence Society Social Media Committee, Member
2011-2012 IEEE Sfax Subsection, co-Founder and Treasurer
2010 IEEE GOLD Tunisia Affinity Group, co-Founder and vice-Chair
2010-2011 IEEE SMCS Student Activities Committee, Member
2010-2011 IEEE Computer Society Tunisia Chapter, Treasurer
2009-2010 IEEE SMCS Student Chapter in ENIS, Founder and Chair
2009-2012 IEEE Student Branch in ENIS, Founder and Chair
Awards
2015 IEEE Outstanding Branch Counselor Award
2015 IEEE IAS Outstanding Chapter Chair Award
2014 IEEE R8 Young Professionals Exceptional Volunteer Recognition certificate
2014 IEEEXtreme Programming Competition, Certificate of Appreciation
2014 IEEE Darrel Chong Student Activity Award
2013 IEEE Volunteer Leadership Training (VOLT) graduate Award
2013 IEEE Student Enterprise Award
2013 IEEE GOLD / Young Professionals certificate of Appreciation
2013 IEEE GOLD Hall of Fame Award
2011 IEEE Computer Society Certificate of Completion
2011 IEEE Best Student Branch Award by Tunisia section
2011 IEEE Best Tunisia chapter Award
Curriculum vitæ - Habib M. KAMMOUN - December 31, 2015 8/11
9. 2010 and 2011 IEEE Day Photo Contest Award
2010 IEEE R8 Exemplary Student Branch Award
2010 IEEE Outstanding SMC Student Branch Chapter Award
Participation to IEEE Events
Oct. 18-22, 15 IEEE IAS Annual Meeting, IAS Chapter Meeting, Texas-USA
Oct. 10-11, 15 105th IEEE Region 8 Committee Meeting, Ljubljana-Slovenia
Mar. 28-29, 15 104th IEEE Region 8 Committee Meeting, Limassol-Cyprus
Aug. 21-24, 14 IEEE Sections congress and 103rd IEEE Region 8 Committee Meeting, Amsterdam-
Netherlands
April. 5-6, 14 102nd IEEE Region 8 Committee Meeting, Budapest-Hungary
Oct. 5-6, 13 101st IEEE Region 8 Committee Meeting, Sarajevo-Bosnia and Herzegovina
Jul. 25-29, 12 IEEE R8 Student Branch and GOLD Congress 2012, Madrid-Spain
Oct. 9-13, 11 IEEE IAS Annual Meeting, IAS Chapter Meeting, Orlando-USA
Aug. 19-22, 11 IEEE Sections Congress, Region 8 Committee Meeting, GOLD Summit, Computer Chap-
ter Meeting, San Francisco-USA
Aug. 4-8, 10 IEEE R8 Student Branch and GOLD Congress 2010, Leuven-Belgium
May 19, 10 IEEE R-8 First COMP/RAS/EMB/IES/IAS/PELS Chapter Chairs Meeting, Lisbon-
Portugal
May 11-14, 09 1st IEEE Middle East Student Branch Congress, Amman-Jordan
Scholarships and Grants
June 2014 Travel Grant from Google to participate to the GDG Global Organizer Summit and
Google I/O 2014, San Francisco-USA
September 2012 Travel Grant from IEEE Region 8 to participate to the 6th Int. Conf. on Intelligent
Systems IS, Sofia-Bulgaria
April 2011 Travel Grant from IEEE Computational Intelligence Society to participate to the IEEE
Symposium Series on Computational Intelligence SSCI, Paris-France
August 2009 Travel grant from European Coordinating Committee for Artificial Intelligence (ECCAI)
to participate in the ACAI 2009 summer school, Belfast, UK
May 2008 Scholarship from Doctoral School in ENIS - Tunisia, for a research stay in University of
Granada, Spain
May 2007 Scholarship from Doctoral School in ENIS - Tunisia, for a research stay in University of
Granada, Spain
December 2005 Accommodation and Travel Grant from Tunisian-Spanish cooperation project (code
39/04/P) for a research stay in Granada - Spain
Curriculum vitæ - Habib M. KAMMOUN - December 31, 2015 9/11
10. Organizing Activities
2009 - 2013 Invitation of IEEE Distinguished Lectures : William A. Gruver (Canada) in Mar. 2009,
Jim Bezdek (USA) in Nov. 2009, Hiroshi Nakajima (Japan) in Mar. 2010, Ngoc-Thanh
Nguyen (Poland) in Oct. 2010, Ajith Abraham (Czech Republic) in Sept. 2011, Chris G.
Guy (UK) in Jan. 2012, Klaus Schilling (Germany) in May 2013, Vincenzo Piuri (Italy)
in June 2013, Bruno Meyer (France) in Nov. 2013, Imre J. Rudas (Hungary) in Dec.
2013, Wei-Bin Zhang (USA) in May 2014, Okyay Kaynak (Turkey) in August 2014,
David Vaglia (USA) in Dec. 2014
Jun28-Jul2, 16 IEEE PES Power Africa Conference, Livingstone-Zambia (publication chair)
June 1-3, 16 5th IEEE Int. Conf. on Advanced Logistics and Transport (ICALT), Krakow-Poland
(organizing co-chair)
Dec. 15-17, 15 15th Int. Conf. 15th on Intelligent Systems Design and Applications (ISDA), Marrakesh-
Morocco (conference chair)
Nov. 15-17, 15 10th Int. Conf. on Service Operations and Logistics, and Informatics (SOLI),
Hammamet-Tunisia (conference chair)
Nov. 12-15, 15 2nd IEEE CIS Summer School on Computational Intelligence (CITA), Gammarth-Tunisia
(school chair)
Oct. 5, 14 World Robotics Olympiad (WRO) Tunisian Qualifications, Sfax-Tunisia (organizing
chair)
Sept. 9-11, 15 2nd Int. Afro-European Conf. for Industrial Advancement (AECIA), Paris-France (pu-
blicity co-chair)
Aug. 23-26, 15 13th IAPR Int. Conf. on Document Analysis and Recognition (ICDAR), Gammarth-
Tunisia (finance chair)
May 20-22, 15 4th IEEE Int. Conf. on Advanced Logistics and Transport (ICALT), Valenciennes-France
(organizing co-chair)
Dec. 22-23, 14 2nd IEEE Tunisian Student Branches Congress TSBC, Sousse-Tunisia (general chair)
Oct. 11, 14 World Robotics Olympiad (WRO) Tunisian Qualifications, Sfax-Tunisia (organizing
chair)
Aug. 11-14, 14 6th Int. Conf. on Soft Computing and Pattern Recognition, Gammarth-Tunisia (orga-
nizing chair)
Aug. 11-14, 14 IEEE CIS Summer School on Computational Intelligence (CITA), Gammarth-Tunisia
(school chair)
May 1-3, 14 3rd Int. Conf. on Advanced Logistics and Transport (ICALT), Hammamet-Tunisia (or-
ganizing co-chair)
Dec. 15-17, 13 Int. Conf. on Individual and Collective Behaviors in Robotics (ICBR), Sousse-Tunisia
(organizing chair)
Dec. 16, 13 4th Int. robotics Competition (RoboComp), Sousse-Tunisia (communication chair)
Dec. 4-6, 13 13th Int. Conf. on Hybrid Intelligent Systems (HIS), Yassmine Hammamet-Tunisia (or-
ganizing chair)
May. 29-31, 13 2nd Int. Conf. on Advanced Logistics and Transport (ICALT), Sousse-Tunisia (organizing
co-chair)
Dec. 22, 12 3rd Robotics Competition, Monastir (organizing co-chair)
Sept. 15, 12 Software Freedom Day (SFD) Tunisia 2012, Monastir (organizing co-chair)
Apr. 7, 12 Android Workshop : Yasmine Open Day, Sfax (organizing co-Chair)
Mar. 25-28, 12 IEEE R8 MELECON Conference, Hammamet-Tunisia (student activities chair)
Curriculum vitæ - Habib M. KAMMOUN - December 31, 2015 10/11
11. Mar. 18-21, 12 Spring School on Governance, Sousse-Tunisia (program co-chair)
Dec. 18-20, 11 3th Int. Conf. on Next Generation Networks and Services NGNS, Hammamet-Tunisia
(publication chair, with IEEE Xplore)
Dec. 18-20, 11 2nd Robotics Competition, Hammamet-Tunisia (finance chair)
Sept. 17, 11 Software Freedom Day (SFD) Tunisia 2011, Sfax-Tunisia (organizing co-chair)
May 31-Jun 3,
11
4th Int. Conf. on Logistics LOGISTIQUA, Hammamet-Tunisia (publication chair, with
IEEE Xplore)
Dec. 27-29, 10 2nd Doctoral School on Science and Technology JEDST-ENIS, Monastir-Tunisia (orga-
nizing committee member)
Nov. 27, 10 IEEE ICT Companies Day, ENIS, Sfax-Tunisia (organizing chair)
Sept. 18, 10 Software Freedom Day, ENIS, Sfax-Tunisia (organizing chair)
Apr. 23-25, 10 1st Robotics Competition, ENIS, Sfax-Tunisia (finance chair)
March 16-19, 10 Workshop on Intelligent Machines : Theory and Applications WIMTA, Sousse-Tunisia
(co-chair)
Nov.5-8, 09 Workshop on Computational Intelligence in Systems Design : Theory and Applications
CISD, Djerba Island-Tunisia (organizing committee chair)
Dec.17-20, 06 Winter School on Valorization of Innovation by Patents (in French) EHVIB, Sousse-
Tunisia (local arrangement co-chair)
Nov.5-7, 05 2nd International Conference on Machine Intelligence ACIDCA-ICMI, Tozeur-Tunisia
(organizing committee member)
Dec.26-28, 04 Winter School on Matlab and Applications (in French) EHMA, Tozeur-Tunisia (organi-
zing committee member)
Curriculum vitæ - Habib M. KAMMOUN - December 31, 2015 11/11