ComNets Lab – Communication Networks Laboratory

M.Sc. Gurkan Celik


M.Sc. Gurkan Celik

Ph.D. Candidate

Electrical and Electronics Engineering / AKDENIZ UNIVERSITY


+90 242 227 4400 (internal 4354)

Gurkan Celik is Ph.D. candidate at Akdeniz University, Turkey. He received his M.Sc. degree in Electrical & Electronics Engineering from Akdeniz University, Turkey (2019) and B.Sc. degree in Electronics & Communication Engineering from Kocaeli University, Turkey (2015). During his bachelor he did two internships abroad. First is with IAESTE Programme at Electronics and Communication Engineering in Karunya University, India, aiming to separate mixed voices in the environment by using signal processing, supervised by Asst. Prof. Dr. Sugumar Durai. Second is with ERASMUS Internship at Instituto de Telecomunicações in Instituto Politecnico de Leiria, Portugal, aiming to trace melanoma disease course by using medical image processing techniques, supervised by Prof. Dr. Sérgio Faria. He is currently research assistant at ComNets Lab working on IoT, WSNs and localization techniques. He contributed 1 article, 1 book chapter and 3 conference papers.


  • Ph.D.

(2019 – Present) Akdeniz University, Institute of Science and Technology, Electrical and Electronics Engineering


  • M.Sc.

(2017–2019) Akdeniz University, Institute of Science and Technology, Electrical and Electronics Engineering (91.3/100)


  • B.Sc.

(2011–2015) Kocaeli University, Electronics and Communication Engineering (76/100)



  • M.Sc. (2019) – “Data Distribution System Design and ZigBee Based Application”

The increasing communication burden and energy consumption, changing security and user needs together with the developing technology require the transmission units to display intelligent behaviors while communicating with each other. To accomplish this, the network components for storing, processing and transmitting data; there is a need to evaluate the network situation and to organize the communication with each other well. For this purpose, optimized data distribution nodes are required within the networks that provide intelligent and low-cost data transmission, making their deployment efficient. In this study, recommendations for positioning methods in terms of interoperability, performance, resource management and innovative integrated platforms that can meet various user expectations and data distribution techniques were made. ZigBee based nodes for real environment testing were designed and produced. Results of measurements that check the energy status of the modules on the network in a smart data distribution system for the next generation internet and take into account their distance from each other. With the experiments; time of arrival (ToA) and the received signal strength indicator (RSSI) methods are compared. The findings indicate that in ToA based measurements are on average 1.13 times lower under outdoor conditions and 1.17 times higher under indoor conditions. RSSI based measurements on average 2.4 and under indoor conditions 2.6 times higher under outdoor conditions than the reference distance. The difference of the ToA values gives more accurate results for longer distances, so the estimates are closer to the expected value as the distance increases. Several filtering and statistical methods were used to reduce the error rate of these values.


  • B.Sc. (2015) – “High Resolution Image Mosaicing”

An image mosaic is a panoramic image generated by assembling sequential images belong to the same scene. This method is mainly used in mapping applications, the evaluation of the images acquired from unmanned aerial vehicles (UAV), and various computer vision applications. In this study, a novel blending method is proposed for automatic and seamless mosaicing of photos taken by an unprofessional digital camera. For the correction of consistent seams occurred during the mosaicing, the color differences around the overlapping regions are tried to fix. For this purpose, instead of the new image frame is to be assigned are averaged with the previous images frame. The intensity values are averaged and finally, the average values of color differences are applied to overlapping regions. Besides, the code is performed for the corresponding boundary regions in order to reduce the seams. The results show the effectiveness, computational complexity and accuracy of the algorithm. Consequently, these implementations realizing an image mosaicing implementation, have been examined and verified with the experimental results. The results of study indicate that the seams, which occurs after mosaicing, can be substantially reduced or completely eliminated. Besides, it is observed that the illumination differences are minimized. The panoramic image is obtained by applying feature extraction, image matching, outlier point detection and removal, respectively homography estimation and image fusion on the images taken as input.




  1. U. D. Ulusar, G. Celik, and F. Al-Turjman (2020). “Cognitive RF-Based Localization for Mission-Critical Applications in Smart Cities: An Overview”, Computers and Electrical Engineering, ELSEVIER


Book Chapters

  1. U. D. Ulusar, G. Celik, E. Turk, F. Al-Turjman and H. Guvenc (2018). “Practical Performability Assessment for ZigBee-Based Sensors in the IoT Era”, Performability in Internet of Things, EAI/Springer Innovations in Communication and Computing, Springer Nature



  1. U. D. Ulusar, G. Celik, E. Turk, F. Al-Turjman and H. Guvenc (2018). “Accurate Indoor Localization for ZigBee Networks”, International Conference on Computer Science and Engineering (UBMK)
  2. U. D. Ulusar, F. Al-Turjman and G. Celik, “An Overview of the Internet of Things and Wireless Communications”, In Proc. of the IEEE International Conference on Information Sciences and Engineering (UBMK), Antalya, Turkey, 2017, pp. 506-509.
  3. U. D. Ulusar, G. Celik and F. Al-Turjman (2017). “Wireless Communication Aspects in the Internet of Things: An Overview”, Local Computer Networks (LCN) Conference



  1. PI – “High Resolution Image Mosaicing Project” which contains creating panoramic frames obtaining from video sequences, TÜBİTAK-Bideb/2241-A (Industry Focused Undergraduate Thesis Support Programme) [€ 1,500]
  2. PI – “Separation of Multiple Audio Sources with Multiple Microphones by using Independent Component Analysis Method Project” which contains signal and speech processing funded by TÜBİTAK-Bideb/2209-A (Support Programme for Domestic Research Projects of University Students) [€ 1,000]
  3. PI – Social Responsibility Project “Youth Entrepreneur Leadership Academy” on Action-1.2, funded by the Ministry of European Union (EU) Affairs/National Agency for Education and Youth Programs Center [€ 5,750]



  1. (07/2017 – Present) Research Assistant – ComNets Lab “Designing a Smart Data Delivery Framework for the Future Internet Project”, aiming to suggest a framework for data distribution for IoT and WSNs, funded by TÜBİTAK-Ardeb/3001 (Initial R&D Projects Support Program)
  2. (09 – 12/2015) Researcher – ERASMUS Internship Programme at “Instituto de Telecomunicações” in “Instituto Politecnico de Leiria”, aiming to trace melanoma disease course by using medical image processing techniques, supervised by Prof. Dr. Sérgio Faria / PORTUGAL
  3. (10/2014 – 06/2015) Research Assistant – “Microprocessors and Embedded Systems Laboratory” at “Electronics and Communication Engineering Department” in “Kocaeli University”
  4. (08 – 09/2014) Intern – “Department of Body Production” in FORD Turkey Plant
  5. (07 – 08/2013) Researcher – IAESTE Programme at “Department of Electronics and Communication Engineering” in “Karunya University”, aiming to separate mixed voices in the environment by using signal processing, supervised by Asst. Prof. Dr. Sugumar Durai / INDIA




  • C / C++
  • Beyond Studio
  • Omnet++ 



  • IEEE Member: 94233391
  • Chamber of Electrical Engineers (EMO) Member: 61988



  • Turkish (Native)
  • English (High proficiency)
  • German (Beginner)



  • Travelling
  • Playing chess
  • Reading





Son Güncelleme : 31 July Tuesday 2018


Telephone: +90 242 227 4400 (4361)

Location: ComNets Lab, Computer Engineering Department, Akdeniz University Campus, 07070 Konyaalti/Antalya/TURKEY

GPS: 36°53’51.8″N 30°38’59.3″E


The mission of ComNets Lab is to provide conduct scientific production in the fields of communication networks with a universal level through high quality research abilities. Improve technologies in order to contribute to the technological transformation of information, to meet the needs of society at a high level in the fields of knowledge, technology and other areas.


The vision of ComNets Lab is to become a distinguished laboratory which continuously enhances the quality of its work which is sensitive to the entrepreneurial, and recognized internationally. The lab aims to increase the number of disabled people and women in those areas where they are underrepresented and therefore explicitly encourages them to apply.

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