M. Ahmad Rathore

• Postdoctoral Fellow fellowship at Northwestern University, Chicago, USA. PhD in Computer Science from Gwangju Institute of Science & technology, South Korea.
• Adept at developing, executing and evaluating High performance Computing, Artificial Intelligence & machine vision, Distributed Cloud edge computing, System maintenance, optimization and time-series analysis.
• Experienced in open source development with over 10 years of experience in Industry.

Journals:

• Muhammad Ahmad, Muhammad Usman, and JongWon Kim. "Maintaining SmartX multi‐view visibility for OF@ TEIN+ distributed cloud‐native edge boxes." Transactions on Emerging Telecommunications Technologies (2020): e4101. (IF:3.310)
• Muhammad Ahmad , JongWon Kim. “ Spatio-temporal summarized visualization of smartX multi-view visibility in cloud-native edge boxes”, Computer Science and Information Systems,34-34, https://doi.org/10.2298/CSIS200317034R . (IF:1.17)
• Usman, Muhammad, Muhammad Ahmad Rathore, and JongWon Kim. "SmartX Multi-View Visibility Framework with Flow-Centric Visibility for SDN-Enabled Multisite Cloud Playground." Applied Sciences 9.10 (2019): 2045. (IF:2.679)
• Muhammad Ahmad, JongWon Kim. "An Efficient Network Framework based on Deep Learning for Managing the Growing Demand of Internet Traffic in Cloud-Native Edge Boxes”, Applied Software Computing, Elsvier. August 2022. (Submitted), (IF: 8.263)
• Shah Zeb, Muhammad Ahmad Rathore, Syed Ali Hassan,M. Shamim Hossain, and A Yassine “Accelerating Edge-Native Service Orchestration in AI-enabled NextG Networks”, IEEE Network Magazine, May 2022 (submitted), (IF: 10.693)

Journals Reviewer:

• IEEE Transactions on Neural Systems & Rehabilitation Engineering, https://www.embs.org/tnsre/ (IF:3.802)
• Wiley Transactions on Emerging Telecommunications Technologies, https://onlinelibrary.wiley.com/journal/21613915 (IF:3.310).

Conferences:

• Shah Zeb, Muhammad Ahmad Rathore,Aamir Mahmood,Syed Ali Hassan,JongWon Kim,Mikael Gidlund , “Edge Intelligence in Softwarized 6G: Deep Learning-enabled Network Traffic Predictions”, 2021 IEEE GLOBECOM 2021 conference
• Muhammad Ahmad Rathore and Han-Gue Jo, “Performance and Scalability Evaluation of Edge-based Summarized Flows in Distributed Cloud”, SMA 2021: The 10th International Conference on Smart Media and Applications (Best Paper Award)
• Muhammad Ahmad, SeungHyung Lee, JongWon Kim. “Persistent Operation Of OF@Tein+ Playground Verified By Smartx Multi-View Leveraged Visualization." 2020 the 10th International Workshop on Computer Science and Engineering (WCSE 2020), pp. 73-78, Yangon (Rangoon), Myanmar (Burma), February 26-28, 2020.
• Muhammad Ahmad , Muhammad Usman, and JongWon Kim. "Integrating Active Monitoring for Restricted Topology-awareness of SmartX Multi-View Playground Visibility." Proceedings of the 13th International Conference on Future Internet Technologies. 2018.
• Muhammad Ahmad,et al. "Comparing IO Visor and Pcap for Security Inspection of Traced Packets from SmartX Box." Advances in Computer Science and Ubiquitous Computing. Springer, Singapore, 2017. 1263-1268.
• Mamun, Muhammad Ahmad et al. "Detecting malicious urls using lexical analysis." International Conference on Network and System Security. Springer, Cham, 2016.
• Talaya Farasat, Muhammad Ahmad Rathore, Akmal Khan, Sun Park, and Jong Won Kim. 2021. BGP traffic volume forecasting using LSTM framework. In Proceedings of the 17th International Conference on emerging Networking EXperiments and Technologies (CoNEXT '21). Association for Computing Machinery, New York, NY, USA, 465–466. DOI:https://doi.org/10.1145/3485983.3493344.

Posters:

• “Democratizing Computation Pathology with Open Source Software “, 16th Annual Lewis Landsberg Research Day 2022, Northwester University, United States. https://www.feinberg.northwestern.edu/researchday/showItem.php?id=989618
• S M Wahidur Rahman, Muhammad Ahmad Rathore, Istiaque Ahmed, and Heung-No Lee, “RNN-based Prediction for Multi-Cryptocurrency Price Correlation”, IITP, ITRC South Korea, Nov 25~26th, 2021

Centre: Networked Intelligence Lab, GIST AI School, Gwangju Inst. of Sci. and Tech., South Korea.
Project Title: OFTEIN++: Open Federated Playgrounds for AI-inspired SmartX Services, Asi@Connect Project (Grant No: Asi@Connect-20-050)
Role in Project: Technical and Support level
Description:

• Support engineering, operations, and maintenance of Cloud-native Edge platform deployed in 12 regional sites, 50 distributed systems, and two centralized data centres
• Deploying Kubernetes Cluster, Openstack server, and monitoring resources usage using Elastic stack(ELK).
• Maintain and upgrade existing Data Lake/Analytics hardware to enable the sharing of operation/experimentation visibility/ application data
• Monitoring real-time traffic and application using application Logs, Perf, CloudWatch, Kafka, MQTT.
• Monitoring platform efficiencies, for maintaining accurate and up-to-date performance metrics, logging, and alarming
• Applying AI-inspired High Performance Computing (HPC) & High Performance Data Analytics (HPDA).

Deployment:

• Hands-on experience of scripting using: Python, Perl, XML, or JSON
• Applied configuration management tool (Salt, Chef, Ansible)

Tools/Software:

• OpenStack, Kubernetes, Ansible, KubeFlow, Python, NodeJs, React

· Administrative:

• · Assisted in Writing Project Proposal, Grant Contract. Administer the Project monthly meetings and prepare minutes.
• · Collaborate with financial and research teams to prepare Project’s reports (Interim, final)

Research Center: GIST AI School, Gwangju Inst. of Sci. and Tech., South Korea.

Project Title: OF@TEIN+: Building and operating Open and Federated Future Internet (SDN/NFV/Cloud- integrated) Testbed (Grant No: Asi@Connect-17-094)

Role in Project : Technical Level

URL : https://github.com/OFTEIN-NET/OFTEIN-Plus

Description :

• Establish multi-site Playground sites which consist of distributed hyper-converged box-style resources
• Configured resources to support cloud-native edge computing having software stack that is, microservices oriented with virtualized/containerized IoT-SDN-Cloud functionalities.
• For distributed cloud-native edge boxes enable centralized collection, ensuring reliable transfer of visibility data and resilience in running applications.
• Conducted Training at 1st OF@TEIN+ Annual meeting, on Software for SmartX Box, 2018, Malaysia.
• Conducted Training at 2nd OF@TEIN+ International Collaboration Conference and Workshop 2019, Malaysia

Research Center: GIST AI School, Gwangju Inst. of Sci. and Tech., South Korea.

Project Title : IoTcloudServe@TEIN

Role in Project : Technical Level

Description :

• Implementation for maintaining resilient and robust collection of visibility data, followed by integration (i.e. prepared and inferred) at a centralized place.
• Deployed applications on a cloud-native platform i.e. Kubernetes to facilitate in terms of automatic deployment, scaling, and management of distributed cloud-native applications.
• Presented in IoTcloudServe@TEIN Workshop, National University of Laos (NUOL)

Title: Maintaining and Forecasting time-series SmartX Multi-View Visibility for Cloud-native Edge Boxes in Multisite Cloud Playground

• Description: Since AI (artificial intelligence)-inspired High Performance Computing (HPC) & High-Performance Data Analytics (HPDA) is now a main priority for data scientists who confront challenges of inference latency and need to manipulate large amounts of data.
• However, the recent surge of measuring the dynamic environments, such as Cloud-native edge-based devices have been challenging for this task due to behaving non-linearly and with aperiodic characteristics during daily operations.
• This work proposed efficient methods for monitoring operational environment with continuity to maintain and sustain reliable services over distributed heterogenous networks.
• Propose a prototype validated solution to persistently maintain multi-view (i.e., resource-layer and flow layer) visibility data (monitoring) collection under varying situations and environments along with verification through interactive visualization support. Second, we address the significant challenges in measuring spatio-temporal data
• Verified a novel technique of network flows forecasting model based on Long short-term memory (LSTM) and seq2seq structure, that can be used to effectively manage network traffic of cloud-native edge boxes with spatio-temporal factor.

• Certified Ethical Hacker (CEH): Certification Number: ECC06590479690
• CCNA Course from Corvit Center (Cisco Academy Program), Pakistan.
• Oracle DBA Course from TECHNO-ED(Oracle Authorized Educational Center), Islamabad
• Microsoft Certified System Engineer (MCSE) Training Course from Corvit Islamabad Center.

Doctoral Studies

• March. 2017-Feb. 2021, fully funded Scholarship supported by Korean Ministry of Education.
• March. 2017-Feb. 2021, GIST (Gwangju Inst. of Sci. and Tech.), scholarship award for full tuition waivers.

Pitch Competitions

• Winner of Impact prize at Student pitch competition 2015, by Technology Management & Entrepreneurship (TME), Canada. https://blogs.unb.ca/newsroom/2015/04/students-vie-for-cash-prizes-at-annual-tme-student-pitch-competition.php
• Recipient of Dr. Wu Yee-sun and Mrs. Wu Ho Man-yuen Memorial Graduate Bursary for excellence in academic results, 2015.
• Inter-University Programming competetions