EDUCATION

Ph.D.: Intelligent Information System Engineering, Fukuoka Institute of Technology, Fukuoka, Japan (2020)

M.Sc.: Telecommunication Engineering, Polytechnic University of Tirana, Albania (2015)

B.E.: Telecommunication Engineering, Polytechnic University of Tirana, Albania (2013)

RESEARCH INTEREST

Internet of Things (IoT), Opportunistic Networks (OppNet), Intelligent Algorithms (IA), Fuzzy Logic (FL), Machine Learning (ML), Artificial Intelligence (AI)

EXPERIENCE

Academic Experience

University of New York Tirana (AL), Department of Information and Intelligent Systems, Assistant Professor (2020-Current)

Fukuoka Institute of Technology (AL), Department of Information and Communication Engineering, Postdoctoral Researcher, (2020)

Fukuoka Institute of Technology(JP), Department of Information and Communication Engineering, Researcher (2017-2020)

Other Experiences

Fukuoka Institute of Technology, Web Administrator, (2017– 2020)

Vodafone Albania, M-Pesa Specialist, (2016 – 2017)

Raiffeisen Bank, Junior Network Engineer, (2016)

RESEARCH OUTPUTS

Refereed Journal Articles

Yamada, M., Cuka, M., Liu, Y., Oda, T., Matsuo, K., & Barolli, L. (2017). Evaluation of an IoT-based e- learning testbed. International Journal of Web Information Systems, 13(1), 2–13. https://doi.org/10.1108/ijwis-12-2016-0072.

Cuka, M., Elmazi, D., Inaba, T., Oda, T., Ikeda, M., & Barolli, L. (2017). An Integrated Fuzzy-Based System for Cluster-Head Selection and Sensor Speed Control in Wireless Sensor

Networks. International Journal of Distributed Systems and Technologies, 8(2), 1–14. https://doi.org/10.4018/ijdst.2017040101.

Matsuo, K., Cuka, M., Inaba, T., Oda, T., Barolli, L., & Barolli, A. (2018). Performance analysis of two WMN architectures by WMN-GA simulation system considering different distributions and transmission rates. International Journal of Grid and Utility Computing, 9(1), 75. https://doi.org/10.1504/ijguc.2018.090229.

Elmazi, D., Cuka, M., Bylykbashi, K., Spaho, E., Ikeda, M., & Barolli, L. (2018). Implementation of intelligent fuzzy-based systems for actor node selection in WSANs: A comparison study considering effect of actor congestion situation. Journal of High Speed Networks, 24(3), 187–199. https://doi.org/10.3233/jhs-180590.

Elmazi, D., Cuka, M., Kulla, E., Oda, T., Ikeda, M., & Barolli, L. (2017). Implementation and comparison of two intelligent systems based on fuzzy logic for actor selection in WSANs: effect of node density on actor selection. International Journal of Space-Based and Situated Computing, 7(4), 229. https://doi.org/10.1504/ijssc.2017.089885.

Cuka, M., Elmazi, D., Kulla, E., Oda, T., Ikeda, M., & Barolli, L. (2018). Implementation of two fuzzy- based systems for IoT device selection in opportunistic networks: effect of storage parameter on IoT device selection. International Journal of Communication Networks and Distributed Systems, 21(1), 95. https://doi.org/10.1504/ijcnds.2018.093400.

Cuka, M., Elmazi, D., Bylykbashi, K., Spaho, E., Ikeda, M., & Barolli, L. (2018). Implementation and performance evaluation of two fuzzy-based systems for selection of IoT devices in opportunistic networks. Journal of Ambient Intelligence and Humanized Computing, 10(2), 519–529. https://doi.org/10.1007/s12652-017-0676-0.

Cuka, M., Elmazi, D., Bylykbashi, K., Spaho, E., Ikeda, M., & Barolli, L. (2018). Effect of node centrality for IoT device selection in opportunistic networks: A comparison study. Concurrency and Computation: Practice and Experience, 30(21), e4790. https://doi.org/10.1002/cpe.4790

Cuka, M., Elmazi, D., Ikeda, M., Matsuo, K., & Barolli, L. (2019). IoT Node Selection in Opportunistic Networks: Implementation of Fuzzy-based Simulation Systems and Testbed. Internet of Things, 100105. https://doi.org/10.1016/j.iot.2019.100105.

International Conferences

Cuka, M., Ozera, K., Obukata, R., Elmazi, D., Oda, T., & Barolli, L. (2017, June). Implementation of a GA-based Simulation System for Placement of IoT Devices: Evaluation for a WSAN Scenario.
In International Conference on Emerging Internetworking, Data & Web Technologies (pp. 34-42). Springer, Cham.

Cuka, M., Elmazi, D., Matsuo, K., Ikeda, M., & Barolli, L. (2018, September). A Delay-Aware Fuzzy- Based System for Selection of IoT Devices in Opportunistic Networks. In International Conference on Network-Based Information Systems (pp. 16-29). Springer, Cham.

Cuka, M., Elmazi, D., Oda, T., Kulla, E., Ikeda, M., & Barolli, L. (2017, August). A fuzzy-based system for selection of IoT devices in opportunistic networks considering IoT device speed, storage and remaining energy parameters. In International Conference on Intelligent Networking and Collaborative Systems (pp. 16-27). Springer, Cham.

Cuka, M., Elmazi, D., Oda, T., Kulla, E., Ikeda, M., & Barolli, L. (2017, November). Effect of Storage Size on IoT Device Selection in Opportunistic Networks: A Comparison Study of Two Fuzzy-Based Systems. In International Conference on Broadband and Wireless Computing, Communication and Applications (pp. 100-113). Springer, Cham.

Cuka, M., Elmazi, D., Bylykbashi, K., Spaho, E., Ikeda, M., & Barolli, L. (2018, March). A fuzzy-based system for selection of IoT devices in opportunistic networks considering IoT device storage, waiting time and security parameters. In International Conference on Emerging Internetworking, Data & Web Technologies (pp. 94-105). Springer, Cham.

Cuka, M., Elmazi, D., Bylykbashi, K., Spaho, E., Ikeda, M., & Barolli, L. (2018, March). A fuzzy-based system for selection of IoT devices in opportunistic networks considering IoT device storage, waiting time and security parameters. In International Conference on Emerging Internetworking, Data & Web Technologies (pp. 94-105). Springer, Cham.

Cuka, M., Elmazi, D., Bylykbashi, K., Spaho, E., Ikeda, M., & Barolli, L. (2018). A Fuzzy-Based System for Selection of IoT Devices in Opportunistic Networks Considering IoT Device Storage, Waiting Time and Node Centrality Parameters. In 32nd International Conference on Advanced Information Networking and Applications (AINA) (pp. 710-716). IEEE

Cuka, M., Elmazi, D., Matsuo, K., Ikeda, M., & Barolli, L. (2018, July). A Fuzzy-Based System for Selection of IoT Devices in Opportunistic Networks Considering IoT Device Contact Duration, Storage and Remaining Energy. In International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (pp. 74-85). Springer, Cham.

Cuka, M., Elmazi, D., Matsuo, K., Ikeda, M., & Barolli, L. (2018, September). A Delay-Aware Fuzzy- Based System for Selection of IoT Devices in Opportunistic Networks. In International Conference on Network-Based Information Systems (pp. 16-29). Springer, Cham.

Cuka, M., Elmazi, D., Bylykbashi, K., Matsuo, K., Ikeda, M., & Barolli, L. (2018, October). A Fuzzy- Based System for Selection of IoT Devices in Opportunistic Networks Considering Number of Past Encounters. In International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (pp. 223-237). Springer, Cham.

Cuka, M., Elmazi, D., Matsuo, K., Ikeda, M., Barolli, L., & Takizawa, M. (2019, February). IoT Device Selection in Opportunistic Networks: A Fuzzy Approach Considering IoT Device Failure Rate.
In International Conference on Emerging Internetworking, Data & Web Technologies (pp. 39-52). Springer, Cham.

Cuka, M., Elmazi, D., Ikeda, M., Matsuo, K., Barolli, L., & Takizawa, M. (2019, March). Selection of IoT Devices in Opportunistic Networks: A Fuzzy-Based Approach Considering IoT Device’s Selfish Behaviour. In International Conference on Advanced Information Networking and Applications (pp. 251-264). Springer, Cham.

Cuka, M., Elmazi, D., Ikeda, M., Matsuo, K., & Barolli, L. (2019, July). IoT Node Selection and Placement: A New Approach Based on Fuzzy Logic and Genetic Algorithm. In Conference on Complex, Intelligent, and Software Intensive Systems (pp. 22-35). Springer, Cham.

Cuka, M., Elmazi, D., Matsuo, K., Ikeda, M., & Barolli, L. (2019, November). A Fuzzy-Based Simulation System for IoT Node Selection in Opportunistic Networks and Testbed Implementation. In International Conference on Broadband and Wireless Computing, Communication and Applications (pp. 32-43). Springer, Cham.

Cuka, M., Elmazi, D., Ikeda, M., Matsuo, K., & Barolli, L. (2020, February). IoT Node Selection in Opportunistic Networks: A Fuzzy-Based Approach Considering Node’s Successful Delivery Ratio (NSDR) as a New Parameter. In International Conference on Emerging Internetworking, Data & Web Technologies (pp. 64-72). Springer, Cham.

Cuka, M., Elmazi, D., Ikeda, M., Matsuo, K., Barolli, L., & Takizawa, M. (2020, August). A decision- making system based on fuzzy logic for IoT node selection in opportunistic networks considering node betweenness centrality as a new parameter. In International Conference on Intelligent Networking and Collaborative Systems (pp. 36-43). Springer, Cham.

Funded Research Projects

Cuka, M., Elmazi, D., Oda, T., Kulla, E., Ikeda, M., & Barolli, L. (2017, November). Effect of Storage Size on IoT Device Selection in Opportunistic Networks: A Comparison Study of Two Fuzzy-Based Systems. The Telecommunications Advancement Foundation (TAF).

GRANTS AND AWARDS

Winner of the Grant for non-Japanese researchers engaged in research at universities in Japan in the fields of C&C, The NEC C&C Foundation, Tokyo, Japan (2017)

Best Paper Award, First Author, The 11th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2017), Torino, Italy

Winner of Rotary Yoneyama Memorial Foundation for excellent foreign students who are studying or doing research at Japanese Institutions, Fukuoka, Japan (2018-2020)