Dr Ali Khoshkholghi
| Name | Dr Ali Khoshkholghi |
|---|---|
| Job title | Lecturer in Computing Science |
| Research institute | |
| Primary appointment | Computer Science |
| Email address | a.khoshkholghi@mdx.ac.uk |
| ORCID | https://orcid.org/0000-0002-6101-4305 |
| Contact category | Academic staff |
Biography
Biography I am an Assistant Professor (Lecturer) in Computer Science at Middlesex University London.
Teaching I serve as the module leader for two modules: CST2555: Operating Systems and Computer Networks. CST4560: Network Security and Mechanisms.
Employment
Assistant Professor
Middlesex University London
16 Jan 2023
Education and qualifications
PhD in Computer Science
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 Springer. pp. 263-273 https://doi.org/10.1007/978-3-031-57853-3_22A 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/electronics12234766Analyzing 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, United Kingdom 01 - 03 Nov 2023 IEEE. pp. 2018-2023 https://doi.org/10.1109/TrustCom60117.2023.00277Leveraging 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. 2023. 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, United Kingdom 01 - 03 Nov 2023 IEEE. pp. 2216-2221Performance 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.2023.100913IoT-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/s23115324Information 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/CCGridW59191.2023.00029Efficient 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/CCGridW59191.2023.00026Federated 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/PFYZ9165xURLLC in 6G with meshed RAN
Khoshkholghi, A., Mahmoodi, T., Pal, S., Chopra, S., Tendulkar, M. and Sarka, S. 2022. xURLLC in 6G with meshed RAN. ITU Journal on Future and Evolving Technologies. 3 (3), pp. 612-622. https://doi.org/10.52953/JTPE9471Edge intelligence for service function chain deployment in NFV-enabled networks
Khoshkholghi, A. and Mahmoodi, T. 2022. Edge intelligence for service function chain deployment in NFV-enabled networks. Computer Networks. 219. https://doi.org/10.1016/j.comnet.2022.109451IntOpt: in-band network telemetry optimization framework to monitor network slices using P4
Bhamare, D., Kassler, A., Vestin, J., Khoshkholghi, A., Taheri, J., Mahmoodi, T., Ohlen, P. and Curescu, C. 2022. IntOpt: in-band network telemetry optimization framework to monitor network slices using P4. Computer Networks. 216. https://doi.org/10.1016/j.comnet.2022.109214941
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