About

I’m a network engineer with hands‑on experience operating large‑scale ISP networks and an MASc researcher focused on AI‑driven network traffic classification (Self‑Supervised and Federated Learning). I honed my skills in network management, security, and automation across Cisco, Microsoft, and Mikrotik platforms. I work across routing and switching (BGP, OSPF, EIGRP, MPLS), Windows Server services (Active Directory, Group Policy, DHCP, DNS, IIS, Hyper-V) packet analysis and monitoring tools (Wireshark, Zabbix, Grafana, Cacti). I enjoy bridging research and operations—turning models and data into practical troubleshooting and automating networks.

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Research Interests

Professional Experience

As a research assistant under the guidance of Professor Walaa Hamouda, I am investigating AI-driven network traffic classification. My current research focuses on integrating deep learning techniques with network flow data analysis to enhance the accuracy and efficiency of traffic classification.

Pishgaman Communication Development company in line with the development of the country’s IT industry, has been starting since 2003. Presently, this company presents various services like ADSL2+, VDSL, TD-LTE, Public WIFI and VOIP in more than 300 cities in Iran. I had working experience as a network engineer in NOC of Pishgaman whit the aim of monitoring and troubleshooting.

Maktabkhooneh company is the biggest online learning and virtual education platform in Iran. It has been starting since 2011. I have worked as a Content Production Technician in network and security department.

Publications

1. Network Traffic Classification Using Self-Supervised Learning and Confident Learning

E. Eslami and W. Hamouda, “Network Traffic Classification Using Self-Supervised Learning and Confident Learning,” in IEEE Open Journal of the Communications Society, vol. 6, pp. 9100-9120, October 2025, doi: 10.1109/OJCOMS.2025.3625534.

2. FedSSL-NTC: A Robust Federated Self-Supervised Learning Framework for Network Traffic Classification Under Privacy Constraints

E. Eslami and W. Hamouda, “FedSSL-NTC: A Robust Federated Self-Supervised Learning Framework for Network Traffic Classification Under Privacy Constraints,” in IEEE Open Journal of the Communications Society, vol. 6, pp. 10023-10041, November 2025, doi: 10.1109/OJCOMS.2025.3635689

Certifications

Projects

1. Network Draw Application

Development and expansion of Computer Networks increasingly in various scales as well as the internet development make network topologies more complicated, which this makes it difficult to draw and monitor the network. Network Draw is the software which itself automatically starts drawing the network topology by connecting to the network equipment and extracting data as well as analyzing the extracted data, and in addition to draw the topology graphically, it provides capabilities for real-time and online monitoring to the user. You can watch the performing of application in this video and also download the software and its paper.

2. Capture Application

Introducing “Capture,” the network traffic capturing application designed with simplicity and user-friendliness in mind. Created with the purpose of easily capturing and analyzing network traffic on your PC. With just a few clicks, you can monitor the network traffic after selecting the network interface. Capture application empowers users by providing detailed information on each packet, offering a total of six essential features for a deeper understanding of the digital data stream. You can watch the performing of application in this video and also download the software.

Volunteer Experience

As a Volunteer and Session Chair Reserve at IEEE Internationa Conferance on Communications (ICC) 2025, held in Montréal, QC, Canada in June 2025, I contributed to the success of a flagship IEEE Communications Society conference. This role enabled me to engage with attendees, including professionals in communications and networking, fostering valuable connections and deepening my understanding of cutting-edge network technologies.

Eslamiehsan94@gmail.com