Dr Ali Khoshkholghi


Dr Ali Khoshkholghi
NameDr Ali Khoshkholghi
Job titleLecturer in Computing Science
Research institute
Primary appointmentComputer Science
Email addressa.khoshkholghi@mdx.ac.uk
ORCIDhttps://orcid.org/0000-0002-6101-4305
Contact categoryResearcher

Education and qualifications

Grants

Prizes and Awards

Research outputs

Dissecting the hype: a study of WallStreetBets’ sentiment and network correlation on financial markets

Wang, K, Wong, B, Khoshkholghi, A., Shah, P., Naha, R, Mahanti, A and Kim, J 2024. Dissecting the hype: a study of WallStreetBets’ sentiment and network correlation on financial markets. 38th International Conference on Advanced Information Networking and Applications. Kitakyushu, Japan 17 - 19 Apr 2024

Analyzing land cover and land use changes using remote sensing techniques: a temporal analysis of climate change detection with Google Earth engine

Afzal, M., Ali, K., Kasi, M., Rehman, M., Khoshkholghi, A., Haq, B. and Shah, S. 2023. Analyzing land cover and land use changes using remote sensing techniques: a temporal analysis of climate change detection with Google Earth engine. IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications. Exeter, UK 01 - 03 Nov 2023

A novel scheduling algorithm for improved performance of multi-objective safety-critical wireless sensor networks using long short-term memory

Al-Nader, I., Lasebae, A., Raheem, R. and Khoshkholghi, A. 2023. A novel scheduling algorithm for improved performance of multi-objective safety-critical wireless sensor networks using long short-term memory. Electronics. 12 (23). https://doi.org/10.3390/electronics12234766

Leveraging oversampling techniques in machine learning models for multi-class malware detection in smart home applications

Chowdhury, A., Isalm, M., Kaisar, S., Naha, R., Khoshkholghi, A., Aiash, M. and Khoda, M.E. Leveraging oversampling techniques in machine learning models for multi-class malware detection in smart home applications. IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications. Exeter, UK 01 - 03 Nov 2023

Performance and cryptographic evaluation of security protocols in distributed networks using applied pi calculus and Markov Chain

Edris, E., Aiash, M., Khoshkholghi, A., Naha, R., Chowdhury, A. and Loo, J. 2023. Performance and cryptographic evaluation of security protocols in distributed networks using applied pi calculus and Markov Chain. Internet of Things. 24. https://doi.org/10.1016/j.iot.2023.100913

IoT-based emergency vehicle services in intelligent transportation system

Chowdhury, A., Kaisar, S., Khoda, M., Naha, R., Khoshkholghi, A. and Aiash, M. 2023. IoT-based emergency vehicle services in intelligent transportation system. Sensors. 23 (11). https://doi.org/10.3390/s23115324

Efficient design for smart environment using Raspberry Pi with Blockchain and IoT (BRIoT)

Ponugumati, S., Ali, K., Lasebae, A., Zahoor, Z., Kiyani, A., Khoshkholghi, A. and Maddu, L. 2023. Efficient design for smart environment using Raspberry Pi with Blockchain and IoT (BRIoT). CCGridW: 4th Workshop on Secure IoT, Edge and Cloud Systems (SioTEC) 2023. Bangalore, India 01 - 04 May 2023 IEEE. pp. 75-80 https://doi.org/10.1109/CCGridW59191.2023.00026

Information fusion-based cybersecurity threat detection for intelligent transportation system

Chowdhury, A., Naha, R., Kaisar, S., Khoshkholghi, A., Ali, K. and Galletta, A. 2023. Information fusion-based cybersecurity threat detection for intelligent transportation system. CCGridW: 4th Workshop on Secure IoT, Edge and Cloud Systems (SioTEC) 2023. Bangalore, India 01 - 04 May 2023 Bangalore, India IEEE. pp. 96-103 https://doi.org/10.1109/CCGridW59191.2023.00029

Federated learning for performance prediction in multi-operator environments

Lan, X., Taghia, J., Moradi, F., Khoshkholghi, A., Listo Zec, E., Mogren, O., Mahmoodi, T. and Johnsson, A. 2023. Federated learning for performance prediction in multi-operator environments. ITU Journal on Future and Evolving Technologies. 4 (1), pp. 166-177. https://doi.org/10.52953/PFYZ9165
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