Contact image
Email:
This email address is being protected from spambots. You need JavaScript enabled to view it.
Position:
Researcher
Room:
KN:E-123

Biography:

 

 

 

Languages:

 

Education:

 

 

 

I was born in the mountain city Kaleybar, a small town in southern (historical land of) Azerbaijan, which is located within the northwestern borders of Iran. The spoken language is the Turkic language of Azerbaijani (known as Türki in the region). The region also is known as Garadağ (because of the high number of mountains). On a side note, this region is the fatherland of Prof. Zadeh, the founder of fuzzy logic. 

 

Azerbaijani (Native), Persian (C2), Turkish (C2), English (C1), Czech (B1)

 

Ph.D. (2019) degree in Computer Engineering from Karadeniz Technical University, Trabzon, Turkiye

M.Sc. (2011) degree in Mechatronics Engineering from Islamic Azad University, East Azerbaijan Province, Ahar, Iran

B.Sc. (2009) degree in Software Engineerig from University of Applied Science and Technology, East Azerbaijan Province, Tabriz, Iran

     
Employment:  
Czech Technical University in Prague (2023-...)
VSB-Technical University of Ostrava (2019-2023)
     
Scholarships/Awards:   Best student paper in the Int Student Conf on EE POSTER-Prague (2017)
    Turkish Government Success Scholarship (2015)
     
ORCID:   ORCID iD iconorcid.org/0000-0002-8418-805X
GS profile:   Hossein B. Jond at Google Scholar
ScoScopus:  
57188587754
WebOfScience (ex Publons):   ABB-7801-2020
Research Interest:   game theory, control of network systems, multi-robot systems, opinion dynamics in social networks, fuzzy-based robot control, trajectory optimization, intelligent transport systems
     

Past Projects:

 

 

 

1. (Postdoc Researcher) Science without borders, (key activities: Autonomous driving, sensor integration, deep learning), Project registration number: CZ.02.2.69/0.0/0.0/16-027/0008463, 2019-2020. 

2. (Postdoc Researcher) Metaheuristics Framework for Multi-objective Combinatorial Optimization Problems (META MO-COP), (https://starfos.tacr.cz/en/project/LTAIN19176-project-main), 2020-2023.

     
Current Projects:   1. (Researcher) Agile swarms of aerial robots with reliable multimodal sensing and state-estimation capabilities: GACR 23-07517S, 2023-2025.
     
Peer Review:  

Journals:
IEEE Transactions on Systems, Man and Cybernetics: Systems, IEEE Transactions on Intelligent Transportation Systems, IEEE Control Systems Letters, IEEE Transactions on Control of Network Systems, Automatica, IEEE Transactions on Intelligent Vehicles, Expert Systems with Applications, International Journal of Robust and Nonlinear Control, PloS one, ISA Transactions, Robotics and Autonomous Systems, European Journal of Control, Robotica, Optimal Control Applications and Methods, Asian Journal of Control 

Conferences:
IEEE ITSC, IEEE SMC, IEEE CDC, ECC 

     
Preprints  
  1. Hossein Jond Aykut Yıldız A. B. Ozguler. Modeling and analysis of trolls in opinion formation on social networks with a differential game approach. 2023. BibTeX

    @misc{jond2023troll,
    	title = "Modeling and analysis of trolls in opinion formation on social networks with a differential game approach",
    	author = "Aykut Yıldız , A. B. Ozguler, Hossein Jond",
    	year = 2023,
    	note = "non-MRS",
    	journal = "Authorea"
    }
    
     
Journals:  
  1. Hossein B Jond. Distributed Differential Graphical Game for Control of Double-Integrator Multi-Agent Systems with Input Delay. IEEE Transactions on Control of Network Systems ():1-12, 2024. DOI BibTeX

    @article{10453977,
    	author = "Jond, Hossein B.",
    	journal = "IEEE Transactions on Control of Network Systems",
    	title = "Distributed Differential Graphical Game for Control of Double-Integrator Multi-Agent Systems with Input Delay",
    	year = 2024,
    	volume = "",
    	number = "",
    	pages = "1-12",
    	keywords = "Delays;Nash equilibrium;Games;Differential games;Multi-agent systems;Vectors;Laplace equations;Consensus;differential graphical game (DGG);distributed information;input delay;multi-agent system (MAS);Nash equilibrium",
    	doi = "10.1109/TCNS.2024.3371594"
    }
    
  2. Hossein B Jond. Differential Game Strategies for Social Networks With Self-Interested Individuals. IEEE Transactions on Computational Social Systems ():1-14, 2024. DOI BibTeX

    @article{10410428,
    	author = "Jond, Hossein B.",
    	journal = "IEEE Transactions on Computational Social Systems",
    	title = "Differential Game Strategies for Social Networks With Self-Interested Individuals",
    	year = 2024,
    	volume = "",
    	number = "",
    	pages = "1-14",
    	doi = "10.1109/TCSS.2024.3350736"
    }
    
  3. Hossein B Jond and Aykut Yıldız. A game approach to multi-dimensional opinion dynamics in social networks with stubborn strategist agents. European Journal of Control, page 100941, 2024. URL, DOI BibTeX

    @article{JOND2024100941,
    	title = "A game approach to multi-dimensional opinion dynamics in social networks with stubborn strategist agents",
    	journal = "European Journal of Control",
    	pages = 100941,
    	year = 2024,
    	issn = "0947-3580",
    	doi = "https://doi.org/10.1016/j.ejcon.2023.100941",
    	url = "https://www.sciencedirect.com/science/article/pii/S0947358023001693",
    	author = "Hossein B. Jond and Aykut Yıldız",
    	keywords = "Game theory, Multi-dimensional opinion dynamics, Nash/worst-case equilibrium, Social networks"
    }
    
  4. Hossein B Jond and Jan Platoš. Differential Game-Based Optimal Control of Autonomous Vehicle Convoy. IEEE Transactions on Intelligent Transportation Systems 24(3):2903-2919, 2023. DOI BibTeX

    @article{9961090,
    	author = "Jond, Hossein B. and Platoš, Jan",
    	journal = "IEEE Transactions on Intelligent Transportation Systems",
    	title = "Differential Game-Based Optimal Control of Autonomous Vehicle Convoy",
    	year = 2023,
    	volume = 24,
    	number = 3,
    	pages = "2903-2919",
    	note = "non-MRS",
    	doi = "10.1109/TITS.2022.3223303"
    }
    
  5. Hossein B Jond and Aykut Yıldız. Connected and automated vehicle platoon formation control via differential games. IET Intelligent Transport Systems 17(2):312-326, 2023. URL, DOI BibTeX

    @article{https://doi.org/10.1049/itr2.12260,
    	author = "Jond, Hossein B. and Yıldız, Aykut",
    	title = "Connected and automated vehicle platoon formation control via differential games",
    	journal = "IET Intelligent Transport Systems",
    	volume = 17,
    	number = 2,
    	pages = "312-326",
    	note = "non-MRS",
    	doi = "https://doi.org/10.1049/itr2.12260",
    	url = "https://ietresearch.onlinelibrary.wiley.com/doi/abs/10.1049/itr2.12260",
    	eprint = "https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/itr2.12260",
    	abstract = "Abstract In this study, the connected and automated vehicles platooning problem is resolved under a differential game framework. Three information topologies are considered here. Firstly, the Predecessor-following topology is utilised where the vehicles control the distance with respect to the merely nearest predecessor via a sensor link-based information flow. Secondly, the Two-predecessor-following topology is exploited where each vehicle controls the distance with respect to the two nearest predecessors. In this topology, the second predecessor is communicated via a Vehicle-to-vehicle link. The individual trajectories of connected and automated vehicles under the Nash equilibrium are derived in closed-form for these two information topologies. Finally, general information topology is examined and the differential game is formulated in this context. In all these options, Pontryagin's principle is employed to investigate the existence and uniqueness of the Nash equilibrium and obtain its corresponding trajectories. In the general topology, we suppose numerical computation of eigenvalues and eigenvectors. Finally, the stability behaviour of the platoon for the Predecessor-following, Two-predecessor-following and general topologies are investigated. All these approaches represent promising and powerful analytical representations of the connected and automated vehicle platoons under the differential games. Simulation experiments have verified the efficiency of the proposed models and their solutions as well as their better results in comparison with the Model Predictive Control.",
    	year = 2023
    }
    
  6. Mohammad Samadi Gharajeh and Hossein B Jond. An intelligent approach for autonomous mobile robots path planning based on adaptive neuro-fuzzy inference system. Ain Shams Engineering Journal 13(1):101491, 2022. URL, DOI BibTeX

    @article{SAMADIGHARAJEH2022101491,
    	title = "An intelligent approach for autonomous mobile robots path planning based on adaptive neuro-fuzzy inference system",
    	journal = "Ain Shams Engineering Journal",
    	volume = 13,
    	number = 1,
    	pages = 101491,
    	year = 2022,
    	issn = "2090-4479",
    	note = "non-MRS",
    	doi = "https://doi.org/10.1016/j.asej.2021.05.005",
    	url = "https://www.sciencedirect.com/science/article/pii/S2090447921002276",
    	author = "Mohammad {Samadi Gharajeh} and Hossein B. Jond",
    	keywords = "Adaptive neuro-fuzzy inference system, Autonomous mobile robot, Obstacle avoidance, Utility function, Steering angle",
    	abstract = "This paper proposes an efficient path planning technique for the autonomous collision-free navigation of wheeled mobile robots with simple hardware based on an adaptive neuro-fuzzy inference system (ANFIS). The distance between the robot and obstacles is measured using three ultrasonic sensors that are installed on the left, front, and right of the robot. These distances from the sensors form the inputs to the ANFIS-utility function block that calculates an obstacle avoidance steering angle for the robot. The obstacle avoidance behavior of the robot is modeled under six scenarios of facing an obstacle. The instantaneous position of the robot and the target are available from Global Positioning System (GPS) modules. A simulation mobile robot in V-REP has been integrated into the ANFIS controller coded in MATLAB. The simulation results show that the proposed ANFIS-utility function-based path planning technique surpasses some of the related algorithms in terms of finding near-optimal paths."
    }
    
  7. Mohammad Samadi Gharajeh and Hossein B Jond. Speed Control for Leader-Follower Robot Formation Using Fuzzy System and Supervised Machine Learning. Sensors 21(10), 2021. URL, DOI BibTeX

    @article{s21103433,
    	author = "Samadi Gharajeh, Mohammad and Jond, Hossein B.",
    	title = "Speed Control for Leader-Follower Robot Formation Using Fuzzy System and Supervised Machine Learning",
    	journal = "Sensors",
    	volume = 21,
    	year = 2021,
    	number = 10,
    	note = "non-MRS",
    	article-number = 3433,
    	url = "https://www.mdpi.com/1424-8220/21/10/3433",
    	pubmedid = 34069186,
    	issn = "1424-8220",
    	abstract = "Mobile robots are endeavoring toward full autonomy. To that end, wheeled mobile robots have to function under non-holonomic constraints and uncertainty derived by feedback sensors and/or internal dynamics. Speed control is one of the main and challenging objectives in the endeavor for efficient autonomous collision-free navigation. This paper proposes an intelligent technique for speed control of a wheeled mobile robot using a combination of fuzzy logic and supervised machine learning (SML). The technique is appropriate for flexible leader-follower formation control on straight paths where a follower robot maintains a safely varying distance from a leader robot. A fuzzy controller specifies the ultimate distance of the follower to the leader using the measurements obtained from two ultrasonic sensors. An SML algorithm estimates a proper speed for the follower based on the ultimate distance. Simulations demonstrated that the proposed technique appropriately adjusts the follower robot’s speed to maintain a flexible formation with the leader robot.",
    	doi = "10.3390/s21103433"
    }
    
  8. Sayyad Alizadeh, Hossein B Jond, Vasif V Nabiyev and Cemal Kose. Automatic Retrieval of Shoeprints Using Modified Multi-Block Local Binary Pattern. Symmetry 13(2), 2021. URL, DOI BibTeX

    @article{sym13020296,
    	author = "Alizadeh, Sayyad and Jond, Hossein B. and Nabiyev, Vasif V. and Kose, Cemal",
    	title = "Automatic Retrieval of Shoeprints Using Modified Multi-Block Local Binary Pattern",
    	journal = "Symmetry",
    	volume = 13,
    	year = 2021,
    	number = 2,
    	note = "non-MRS",
    	article-number = 296,
    	url = "https://www.mdpi.com/2073-8994/13/2/296",
    	issn = "2073-8994",
    	abstract = "A shoeprint is a valuable clue found at a crime scene and plays a significant role in forensic investigations. In this paper, in order to maintain the local features of a shoeprint image and place a pattern in a block, a novel automatic method was proposed, referred to as Modified Multi-Block Local Binary Pattern (MMB-LBP). In this method, shoeprint images are divided into blocks according to two different models. The histograms of all blocks of the first and second models are separately measured and stored in the first and second feature matrices, respectively. The performance evaluations of the proposed method were carried out by comparing with state-of-the-art methods. The evaluation criteria are the successful retrieval rates obtained using the best match score at rank one and cumulative match score for the first five matches. The comparison results indicated that the proposed method performs better than other methods, in terms of retrieval of complete and incomplete shoeprints. That is, the proposed method was able to retrieve 97.63% of complete shoeprints, 96.5% of incomplete toe shoeprints, and 91.18% of incomplete heel shoeprints. Moreover, the experiments showed that the proposed method is significantly resistant to the rotation, salt and pepper noise, and Gaussian white noise distortions in comparison with the other methods.",
    	doi = "10.3390/sym13020296"
    }
    
  9. Mohammad Samadi Gharajeh and Hossein B Jond. Hybrid Global Positioning System-Adaptive Neuro-Fuzzy Inference System based autonomous mobile robot navigation. Robotics and Autonomous Systems 134:103669, 2020. URL, DOI BibTeX

    @article{GHARAJEH2020103669,
    	title = "Hybrid Global Positioning System-Adaptive Neuro-Fuzzy Inference System based autonomous mobile robot navigation",
    	journal = "Robotics and Autonomous Systems",
    	volume = 134,
    	pages = 103669,
    	year = 2020,
    	issn = "0921-8890",
    	note = "non-MRS",
    	doi = "https://doi.org/10.1016/j.robot.2020.103669",
    	url = "https://www.sciencedirect.com/science/article/pii/S0921889020305091",
    	author = "Mohammad Samadi Gharajeh and Hossein B. Jond",
    	keywords = "Adaptive Neuro-Fuzzy Inference System (ANFIS), Autonomous mobile robot, Global Positioning System (GPS), Obstacle avoidance",
    	abstract = "The collision-free navigation of a mobile robot in clutter environments is challenging. Global Positioning System (GPS) and adaptive neuro-fuzzy inference system (ANFIS) are well-known techniques widely used for navigation and control, respectively. This paper proposes a hybrid GPS-ANFIS based method for collision-free navigation of autonomous mobile robots. The GPS-based controller keeps the navigation direction of the robot toward the static or dynamic target. It uses the coordinates received from the two GPS modules on the edges of the longitudinal axis of the robot all together with the coordinates of the target to divert it from the current path making a certain angle towards the target. The performance of the proposed method in navigating a mobile robot in clutter environments and its effectiveness in comparison with the other collision-free navigation methods has been evaluated through simulations. The evaluation criteria are on the basis of the obstacle avoidance behavior and the length of the discovered collision-free path by the robot. The results have shown that our hybrid GPS-ANFIS method navigates the robot toward the goal via a shorter path while avoiding the obstacles."
    }
    
  10. H B Jond, J Platoša and Z Sadreddini. Autonomous Vehicle Convoy Formation Control with Size/Shape Switching for Automated Highways. International Journal of Engineering 33(11):2174-2180, 2020. URL, DOI BibTeX

    @article{,
    	author = "Jond, H. B. and Platoša, J. and Sadreddini, Z.",
    	title = "Autonomous Vehicle Convoy Formation Control with Size/Shape Switching for Automated Highways",
    	journal = "International Journal of Engineering",
    	volume = 33,
    	number = 11,
    	pages = "2174-2180",
    	year = 2020,
    	note = "non-MRS",
    	publisher = "Materials and Energy Research Center",
    	issn = "1025-2495",
    	eissn = "1735-9244",
    	doi = "10.5829/ije.2020.33.11b.07",
    	abstract = "Today’s semi-autonomous vehicles are gradually moving towards full autonomy. This transition requires developing effective control algorithms for handing complex autonomous tasks. Driving as a group of vehicles, referred to as a convoy, on automated highways is a highly important and challenging task that autonomous driving systems must deal with. This paper considers the control problem of a vehicle convoy modeled with linear dynamics. The convoy formation requirement is presented in terms of a quadratic performance index to minimize. The convoy formation control is formulated as a receding horizon linear-quadratic (LQ) optimal control problem. The receding horizon control law is innovatively defined via the solution to the algebraic Riccati equation. The solution matrix and therefore the receding horizon control law are obtained in the closed-form. A control architecture consisting of four algorithms is proposed to handle formation size/shape switching. The closed-form control law is at the core of these algorithms. Simulation results are provided to justify the models, solutions, and proposed algorithms.",
    	keywords = "Automated Highway,Autonomous Vehicle,formation control,Receding Horizon Control,Size/Shape Switching",
    	url = "https://www.ije.ir/article_118794.html",
    	eprint = "https://www.ije.ir/article_118794_20281f59c72a813dcd5680b3f33c7023.pdf"
    }
    
  11. Jond Hossein Barghi and Nabiyev Vasif. On the finite horizon Nash equilibrium solution in the differential game approach to formation control. Journal of Systems Engineering and Electronics 30(6):1233-1242, 2019. DOI BibTeX

    @article{8945574,
    	author = "Barghi, Jond Hossein and Vasif, Nabiyev",
    	journal = "Journal of Systems Engineering and Electronics",
    	title = "On the finite horizon Nash equilibrium solution in the differential game approach to formation control",
    	year = 2019,
    	volume = 30,
    	number = 6,
    	note = "non-MRS",
    	pages = "1233-1242",
    	doi = "10.21629/JSEE.2019.06.17"
    }
    
  12. Hossein Jond, Vasif Nabiyev, Nurhan Özmen and Dalibor Lukáš. Existence of nash equilibrium in differential game approach to formation control. International Journal of Robotics and Automation 33:206, July 2018. DOI BibTeX

    @article{article2018,
    	author = "Jond, Hossein and Nabiyev, Vasif and Özmen, Nurhan and Lukáš, Dalibor",
    	year = 2018,
    	month = 07,
    	pages = 206,
    	note = "non-MRS",
    	title = "Existence of nash equilibrium in differential game approach to formation control",
    	volume = 33,
    	journal = "International Journal of Robotics and Automation",
    	doi = "10.2316/Journal.206.2018.4.206-5308"
    }
    
  13. Adel Akbarimajd and Hossein Jond. A contract-net model for foraging agents in dynamic environment. Pamukkale University Journal of Engineering Sciences 22:390-395, January 2016. DOI BibTeX

    @article{article2016,
    	author = "Akbarimajd, Adel and Jond, Hossein",
    	year = 2016,
    	month = 01,
    	note = "non-MRS",
    	pages = "390-395",
    	title = "A contract-net model for foraging agents in dynamic environment",
    	volume = 22,
    	journal = "Pamukkale University Journal of Engineering Sciences",
    	doi = "10.5505/pajes.2016.66934"
    }
    
     
Conferences:  
  1. Hossein B Jond. Control of Vehicle Platoons with Collision Avoidance Using Noncooperative Differential Games. In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) (). 2023, 770-776. DOI BibTeX

    @inproceedings{10422304,
    	author = "Jond, Hossein B.",
    	booktitle = "2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)",
    	title = "Control of Vehicle Platoons with Collision Avoidance Using Noncooperative Differential Games",
    	year = 2023,
    	volume = "",
    	number = "",
    	note = "non-MRS",
    	pages = "770-776",
    	keywords = "Simulation;Differential games;Nash equilibrium;Trajectory;Topology;History;Collision avoidance;collision avoidance;differential game;Nash equilibrium;vehicle platoon",
    	doi = "10.1109/ITSC57777.2023.10422304"
    }
    
  2. Hossein B Jond. Opinion Dynamics Optimization Through Noncooperative Differential Games. In 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT) (). 2023, 1749-1754. DOI BibTeX

    @inproceedings{10284216,
    	author = "Jond, Hossein B.",
    	booktitle = "2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)",
    	title = "Opinion Dynamics Optimization Through Noncooperative Differential Games",
    	year = 2023,
    	volume = "",
    	number = "",
    	note = "non-MRS",
    	pages = "1749-1754",
    	doi = "10.1109/CoDIT58514.2023.10284216"
    }
    
  3. Aykut Yıldız and Hossein Barghi Jond. Shooting Method for Opinion Dynamics. In 2023 46th International Conference on Telecommunications and Signal Processing (TSP) (). 2023, 56-59. DOI BibTeX

    @inproceedings{10197642,
    	author = "Yıldız, Aykut and Jond, Hossein Barghi",
    	booktitle = "2023 46th International Conference on Telecommunications and Signal Processing (TSP)",
    	title = "Shooting Method for Opinion Dynamics",
    	year = 2023,
    	volume = "",
    	number = "",
    	note = "non-MRS",
    	pages = "56-59",
    	doi = "10.1109/TSP59544.2023.10197642"
    }
    
  4. Aykut Yildiz and Hossein B Jond. Vehicle Swarm Platooning as Differential Game. In 2021 20th International Conference on Advanced Robotics (ICAR) (). 2021, 885-890. DOI BibTeX

    @inproceedings{9659431,
    	author = "Yildiz, Aykut and Jond, Hossein B.",
    	booktitle = "2021 20th International Conference on Advanced Robotics (ICAR)",
    	title = "Vehicle Swarm Platooning as Differential Game",
    	year = 2021,
    	volume = "",
    	number = "",
    	note = "non-MRS",
    	pages = "885-890",
    	doi = "10.1109/ICAR53236.2021.9659431"
    }
    
  5. Vahid Ashkani Chenarlogh, Hossein B Jond and Jan Platoš. A Robust Deep Model for Human Action Recognition in Restricted Video Sequences. In 2020 43rd International Conference on Telecommunications and Signal Processing (TSP) (). 2020, 541-544. DOI BibTeX

    @inproceedings{9163464,
    	author = "Chenarlogh, Vahid Ashkani and Jond, Hossein B and Platoš, Jan",
    	booktitle = "2020 43rd International Conference on Telecommunications and Signal Processing (TSP)",
    	title = "A Robust Deep Model for Human Action Recognition in Restricted Video Sequences",
    	year = 2020,
    	note = "non-MRS",
    	volume = "",
    	number = "",
    	pages = "541-544",
    	doi = "10.1109/TSP49548.2020.9163464"
    }
    
  6. Hossein B Jond and Jan Platos. A Fast Trajectory Tracking Control Design for Autonomous Driving. In 2019 7th International Conference on Robotics and Mechatronics (ICRoM) (). 2019, 1-6. DOI BibTeX

    @inproceedings{9071867,
    	author = "Jond, Hossein B. and Platos, Jan",
    	booktitle = "2019 7th International Conference on Robotics and Mechatronics (ICRoM)",
    	title = "A Fast Trajectory Tracking Control Design for Autonomous Driving",
    	year = 2019,
    	note = "non-MRS",
    	volume = "",
    	number = "",
    	pages = "1-6",
    	doi = "10.1109/ICRoM48714.2019.9071867"
    }
    
  7. Hossein B Jond and Jan Platoš. A Disturbance Activation Approach to Collision Avoidance Autonomous Driving. In 2019 5th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS) (). 2019, 1-6. DOI BibTeX

    @inproceedings{9066077,
    	author = "Jond, Hossein B. and Platoš, Jan",
    	booktitle = "2019 5th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS)",
    	title = "A Disturbance Activation Approach to Collision Avoidance Autonomous Driving",
    	year = 2019,
    	note = "non-MRS",
    	volume = "",
    	number = "",
    	pages = "1-6",
    	doi = "10.1109/ICSPIS48872.2019.9066077"
    }
    
  8. Zhaleh Sadreddini, Tuğrul Çavdar and Hossein Barghi Jond. A distance measurement method using single camera for indoor environments. In 2016 39th International Conference on Telecommunications and Signal Processing (TSP) (). 2016, 462-465. DOI BibTeX

    @inproceedings{7760921,
    	author = "Sadreddini, Zhaleh and Çavdar, Tuğrul and Jond, Hossein Barghi",
    	booktitle = "2016 39th International Conference on Telecommunications and Signal Processing (TSP)",
    	title = "A distance measurement method using single camera for indoor environments",
    	year = 2016,
    	note = "non-MRS",
    	volume = "",
    	number = "",
    	pages = "462-465",
    	doi = "10.1109/TSP.2016.7760921"
    }
    
  9. Hossein Barghi Jond, Rıfat Benveniste and Vasif V Nabiyev. Peak load appliance scheduling for demand-side management in the future smart grids. In 2015 3rd International Istanbul Smart Grid Congress and Fair (ICSG) (). 2015, 1-4. DOI BibTeX

    @inproceedings{7354925,
    	author = "Jond, Hossein Barghi and Benveniste, Rıfat and Nabiyev, Vasif V.",
    	booktitle = "2015 3rd International Istanbul Smart Grid Congress and Fair (ICSG)",
    	title = "Peak load appliance scheduling for demand-side management in the future smart grids",
    	year = 2015,
    	note = "non-MRS",
    	volume = "",
    	number = "",
    	pages = "1-4",
    	doi = "10.1109/SGCF.2015.7354925"
    }
    
  10. Hossein Barghi Jond, Vasif V Nabiyev and Adel Akbarimajd. Planning of mobile robots under limitted velocity and acceleration. In 2014 22nd Signal Processing and Communications Applications Conference (SIU) (). 2014, 1579-1582. DOI BibTeX

    @inproceedings{6830545,
    	author = "Barghi Jond, Hossein and Nabiyev, Vasif V. and Akbarimajd, Adel",
    	booktitle = "2014 22nd Signal Processing and Communications Applications Conference (SIU)",
    	title = "Planning of mobile robots under limitted velocity and acceleration",
    	year = 2014,
    	note = "non-MRS",
    	volume = "",
    	number = "",
    	pages = "1579-1582",
    	doi = "10.1109/SIU.2014.6830545"
    }
    
     
     
     
Supervised Bachelor Theses:  
  • V. D. Quy (VSB-Technical University of Ostrava, 2022): Solving vehicle platooning problem with neural networks
  • N. T. Pham (VSB-Technical University of Ostrava, 2022): Simple camera-based object distance estimation
Research Directions for BSc/MSc/PhD Students:  

 

  • Game-based optimal swarming/flocking
  • Perception-based flying
  • Self-swarness in robotics
  • Social robotics

Contact me at hossein.barghi.jond(at)fel.cvut.cz for details, or bring your own ideas to discuss.