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ORCIDMohammad Ali Khoshkholghi
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2020 – today
- 2024
[c9]Kevin Wang, Bill Wong, Mohammad Ali Khoshkholghi, Purav Shah, Ranesh Naha
, Aniket Mahanti, Jong-Kyou Kim:
Dissecting the Hype: A Study of WallStreetBets' Sentiment and Network Correlation on Financial Markets. AINA (2) 2024: 263-273- 2023
- [j6]Ed Kamya Kiyemba Edris, Mahdi Aiash, Mohammad Ali Khoshkholghi, Ranesh Naha, Abdullahi Chowdhury, Jonathan Loo:
Performance and cryptographic evaluation of security protocols in distributed networks using applied pi calculus and Markov Chain. Internet Things 24: 100913 (2023) - [j5]Abdullahi Chowdhury, Shahriar Kaisar, Mahbub E. Khoda, Ranesh Kumar Naha, Mohammad Ali Khoshkholghi, Mahdi Aiash:
IoT-Based Emergency Vehicle Services in Intelligent Transportation System. Sensors 23(11): 5324 (2023) - [c8]Sunil K. Ponugumati, Kamran Ali, Aboubaker Lasebae, Zaid Zahoor, Anum Tanveer Kiyani, Ali Khoshkholghi, Maddu Latha:
Efficient Design for Smart Environment Using Raspberry Pi with Blockchain and IoT (BRIoT). CCGridW 2023: 75-80 - [c7]Abdullahi Chowdhury, Ranesh Naha, Shahriar Kaisar, Mohammad Ali Khoshkholghi, Kamran Ali, Antonino Galletta:
Information Fusion-based Cybersecurity Threat Detection for Intelligent Transportation System. CCGridW 2023: 96-103 - [c6]Mozina Afzal, Kamran Ali, Mumraiz Khan Kasi, Masood Ur Rehman, Mohammad Ali Khoshkholghi, Bushra Haq, Syed Ahmed Shah:
Analyzing Land Cover and Land Use Changes Using Remote Sensing Techniques: A Temporal Analysis of Climate Change Detection with Google Earth Engine. TrustCom 2023: 2018-2023 - [c5]Abdullahi Chowdhury, Mohammad Manzurul Islam, Shahriar Kaisar, Mahbub E. Khoda, Ranesh Naha, Mohammad Ali Khoshkholghi, Mahdi Aiash:
Leveraging Oversampling Techniques in Machine Learning Models for Multi-class Malware Detection in Smart Home Applications. TrustCom 2023: 2216-2221 - [i2]Mohammad Ali Khoshkholghi, Toktam Mahmoodi, Subhankar Pal, Subhash Chopra, Mayuri Tendulkar, Sandip Sarkar:
xURLCC in 6g with meshed RAN. CoRR abs/2301.08051 (2023) - [i1]Deng Pan, Mohammad Ali Khoshkholghi, Toktam Mahmoodi:
Decentralized federated learning methods for reducing communication cost and energy consumption in UAV networks. CoRR abs/2304.06551 (2023) - 2022
- [j4]Deval Bhamare, Andreas Kassler, Jonathan Vestin, Mohammad Ali Khoshkholghi, Javid Taheri, Toktam Mahmoodi, Peter Öhlén, Calin Curescu:
IntOpt: In-band Network Telemetry optimization framework to monitor network slices using P4. Comput. Networks 216: 109214 (2022) - [j3]Mohammad Ali Khoshkholghi, Toktam Mahmoodi:
Edge intelligence for service function chain deployment in NFV-enabled networks. Comput. Networks 219: 109451 (2022) - [c4]Deng Pan, Mohammad Ali Khoshkholghi, Toktam Mahmoodi:
Decentralized Federated Learning Methods for Reducing Communication Cost and Energy Consumption in UAV Networks. MobiCASE 2022: 18-30 - 2021
- [j2]Shuiguang Deng, Zhengzhe Xiang, Javid Taheri, Mohammad Ali Khoshkholghi, Jianwei Yin, Albert Y. Zomaya, Schahram Dustdar:
Optimal Application Deployment in Resource Constrained Distributed Edges. IEEE Trans. Mob. Comput. 20(5): 1907-1923 (2021) - 2020
- [j1]Mohammad Ali Khoshkholghi, Michel Gokan Khan, Kyoomars Alizadeh Noghani, Javid Taheri, Deval Bhamare, Andreas Kassler, Zhengzhe Xiang, Shuiguang Deng, Xiaoxian Yang:
Service Function Chain Placement for Joint Cost and Latency Optimization. Mob. Networks Appl. 25(6): 2191-2205 (2020) - [c3]Michel Gokan Khan, Javid Taheri, Mohammad Ali Khoshkholghi, Andreas Kassler, Carolyn Cartwright, Marian Darula, Shuiguang Deng:
A Performance Modelling Approach for SLA-Aware Resource Recommendation in Cloud Native Network Functions. NetSoft 2020: 292-300
2010 – 2019
- 2019
- [c2]Deval Bhamare, Andreas Kassler, Jonathan Vestin, Mohammad Ali Khoshkholghi, Javid Taheri:
IntOpt: In-Band Network Telemetry Optimization for NFV Service Chain Monitoring. ICC 2019: 1-7 - [c1]Mohammad Ali Khoshkholghi, Javid Taheri, Deval Bhamare, Andreas Kassler:
Optimized Service Chain Placement Using Genetic Algorithm. NetSoft 2019: 472-479
Coauthor Index
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