Carleton University

Chung-Horng Lung
Department of Systems
and Computer Engineering

Email: chlung@sce.carleton.ca
Tel: +1 613 520-2600 ext. 2642
Fax: +1 613 520-5727
Office: Mackenzie Building, Room 4434

 

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Post-Doc Fellows (First or Current Employment):

 

·       Aris Leivadeas, (Faculty, École de Technologie Supérieure, Montreal, Canada)

·       Mohammad Aazam, (Carnegie Mellon University, Qatar), (co-supervision with Prof. I. Lambadaris and Prof. M. St-Hilaire)

·       Yang Cao, (University of Illinois at Urbana-Champaign)

·       Yugui Cai, (Irdeto, Ottawa)

·       Jiehan Zhou, (Univ. of Oulu, Finland)

·       Benjamin F. Zhong, (Canada Post, Ottawa)

·       Ashraf Matrawy, (Faculty, School of BIT, Carleton University), (co-supervision with Prof. I. Lambadaris)

 

Past PhD Students (First or Current Employment):

 

Past Masters Students (First or Current Employment):

 

Completed by Thesis:

 

Completed by M.Eng. (ECE) Project:

·        Ricky Siek (co-supervision with Prof. Ajila), Investigation of 5G Network for Resource Management, Dec. 2020.

·        Mitulkumar Gajera, Experimental demonstration of Segment Routing (SR) and Multi-Protocol Label Switching (MPLS) Technology, April 2020.

·        Parth Patel, Experimental Demonstration of Segment Routing (SR) and Multi-Protocol Label Switching (MPLS) Technology, April 2020.

·        Kavyashree Puttaswami, (Ciena), Enhanced Handover Process for Reliable Video Streaming over SDN-based Wireless Networking, Dec. 2019.

·        Nikhil Shetty, Comprehensive Analysis of Machine Learning Algorithms for Intrusion Detection using Standard Network Datasets and Implementation of a Mitigation Technique using MTD, Dec. 2019.

·        Amith Suresh Mali, Detection and Mitigation of DDoS Attacks SDN based Networks using Machine Learning, Dec. 2019.

·        Tarim Islam, (Xplornet Communications), DDoS Detection and Mitigation in SDN-WISE IoT Network by Using Various Machine Learning Techniques, Aug. 2019.

·        Navid Hossain, (Transcom), DDoS Detection and Mitigation in SDN-WISE IoT Network by Using Various Machine Learning Techniques, Aug. 2019.

·        Saumil MacWan, (Ribbon Communication), Investigation of Moving Target Defense Technique to Prevent Poisoning Attacks in SDN, April 2019.

·        Jayanshu Gundaniya, (Blackberry/QNX), Implementation IoT Applictions as Microservices, April 2019.

·        Dhavel Vasveliya, (Lar-Mex, co-supervision with Prof. Ajila), IoT Network Security – Blockchain Approach, April 2019.

·        Naveen sai Muthyala (SnowM Inc.), Internet Traffic Classification using Machine Learning, April 2019.

·        Obaid Rahman, (Larus Technologies), DDoS Attacks Detection and Mitigation in SDN through Machine-Learning, April 2019.

·        Mohammad Ali Gauhar Quraishi, (CareFor), DDoS Attacks Detection and Mitigation in SDN through Machine-Learning, April 2019.

·        Abbas Mohamed Saied, DDoS Attacks Detection and Mitigation in SDN through Machine-Learning, April 2019.

·        Anurag Das (FDM Group, co-supervision with Prof. Ajila), Machine Learning for Network Intrusion Detection : Analysis and Comparison of Machine Learning Algorithms and Relevant Features for Detecting Cyber-attacks, Dec. 2018.

·        Sandra Rotaru (Checkpoint Software Technologies), Investigation of Security in Software-Defined Networks and Service Function Chaining, Dec. 2018.

·        Ritvik Pandey (Checkpoint Software Technologies), Investigation of Security in Software-Defined Networks and Service Function Chaining, Dec. 2018.

·        Subhajit Chatterjee (Ericsson, Canada), A Survey of Collaborative Caching in IoT and ICN as a Solution, Dec. 2018.

·        Harpreet Dhaliwal (Honeywell, Canada), Load Balancing using ECMP in Multi-Stage Clos Topology, April 2018.

·        Henan Kottayil Hyder (Ciena), Closed Loop Real Time DDoS Mitigation In SDN, April 2018.

·        Manveer Singh, (Morgan Stanley), Detection and Mitigation of DDoS Attacks in SDN, Dec 2017.

·        Avneet Behl (Embedded Navigation, Ford Motor), Closed loop DoS Attack Mitigation System for SDN, Dec 2017.

·        Bhumika Patel (Data Analyst, TD Bank), Hybrid Machine Learning Techniques for Network Intrusion Detection, Dec 2017.

·        Zaheenabanu Somani (Ceridian), Hybrid Machine Learning Techniques for Network Intrusion Detection, Dec 2017.

·        Linda Shi (Nokia), SD-VPN for IoT Networks, Aug 2017.

·        Fei Wang (NetBrain Technologies), SD-VPN for IoT Networks, Aug 2017.

·        Aarti ., OPNFV Fast Data Stack (FDS), April 2017.

·        Manjot K. Sidhu (Nova Networks), Network Architecture and QoS Study on Software Defined LTE Vehicluar Networks, April 2017.

·        Sudhanshu Dogra, (CGI), Network Architecture and QoS Study on Software-Defined LTE Vehicular Networks, Dec. 2016.

·        Abhishek Ajith Prasad, (Dynamic Strategy Inc.), SDN -NFV Realizing OpenDaylight-Docker-WordPress, Dec. 2016.

·        Harpreet Kumar, (Harris Corporation), SDN -NFV Realizing OpenDaylight-Docker-WordPress, Dec. 2016.

·        Manosh Jayawardena, (Telus), Evaluation of Traffic Engineering Mechanisms in Software-Defined Networks, Aug.2016.

·        Sameer Sultan, (Government), Evaluation of Traffic Engineering Mechanisms in Software-Defined Networks, Aug.2016.

·        Sankarshan Sakkarepattana Nagaraja Rao, (Evertz Microsystems), A Heuristic Caching Algorithm for Information-Centric Networks, Aug. 2016.

·        Yuji Qiu, (Epiphan Systems), Data Analytics for the Repeat Customers, April 2016.

·        Tejasvi Patel, (FDM Consulting), Analysis of Cloud Security Monitoring Tools, April 2016.

·        Ronak Vyas, (Amdocs), Performance Evaluation and Testing of Service Function Chaining, April 2016.

·        Harpal Singh, (Phreesia), Multipath TCP, April 2016.

·        Karamjit Kaur, (Phreesia), Multipath TCP, April 2016.

·        Gaganpal Bhasin, (FDM Consulting), SDN-NFV: Realizing OpenDayLight – Docker, April 2016.

·        Jagmeet Randhawa, (Trend Mirco), SDN-NFV: Realizing OpenDayLight – Docker, April 2016.

·        Wenjing Han, (Filecatalyst), Software Defect Prediction using Machine Learning Techniques and Hadoop, Mahout and R, Dec. 2015.

·        Bhargav Suchak (Amdocs), Simulation of a Content Delivery Network on a Cloud (AWS) Platform, April 2015.

·        Shrijit Das, (Thales, Canada), Software Defined Networks: Application Development for Floodlight Controller, April 2015.

·        Mandeep Kaur Guraya (Nokia), Experimental Framework to Evaluate The Impact of Software-Defined Networks’ Reactive Routing on Bittorrent’s Performance, Dec. 2014.

·        Rupinder Singh Bajwa (Nokia), Experimental Framework to Evaluate The Impact of Software-Defined Networks’ Reactive Routing on Bittorrent’s Performance, Dec. 2014.

·        Lakshmi Ramanathan, (CISCO), LISP - SDN for NFV, Dec. 2014.

·        Jagannath Chandrakanth, Content Distribution Networks Using Software Defined Networks, Dec. 2014.

·        Pradeepti Chollangi (CheckPoint Software Technologies), Content Distribution Networks Using Software Defined Networks, Dec. 2014.

·        Tahmina Taher, Performance Evaluation of NoSQL Database Systems, Sept. 2014.

·        Raviraj Vaghani, (CENX), A Comparison of Data Forwarding Schemes for Network Resiliency in Software Defined Networking, May 2014.

·        Vignesh Renganathan Raja (CIENA), An Openflow Controller Design for Failure Detection and Protection for a Multicasting Tree, May 2014.

·        Abhishek Pandey, (Eclipsys Solutions) An Openflow Controller Design for Failure Detection and Protection for a Multicasting Tree, May 2014.

·        Gurjot Kaur Garcha, Content Distribution in Software Defined Networks, May 2014.

·        Kailash Singh, (RCom), Design and Investigation of Layer 3 VPNs, May 2014.

·        Akshit Purohit, (SMITH), Concurrency Architecture Framework: Dynamic Thread Creation by Variability Management, May 2014.

·        Li Wang, (Program Analyst, Statistics Canada, co-supervision with Prof. S. Majumdar), NFC Based Access Control and Information Dissemination System, Aug. 2013.

·        Sidhant Sharma (Halogen Software), Energy Measurement for Mobile Cloud Computing, Aug. 2013.

·        Akhil Bansal, (Afilias), Bandwidth Shaping in a Cloud Environment under Linux: an Extension to CASViD, April 2013.

·        Mohammed Sanaullah, (Nova Networks), Performance Evaluation of XML Message Filtering Using Cloud Computing, April 2013.

·        Utkarsh Kanabar, (Halogen Software), Cloud Architecture for Service Level Agreement Violation Detection, Dec. 2012.  

·        Michael Hay, (IBM Canada), Network Coding and Quality of Service for Mobile Ad-hoc Networks, Aug. 2012.

·        Wenwei Chen (Health Canada), Cloud Computing: Security Issues and Challenges, Aug. 2012.

·        Vaibhav Sharma (Telus), Approaches to QoS and Reliability in Cloud Computing and Networking, May 2012.

·        Kavita Tiwari, (Ericsson, Canada), A Survey and Analysis of Self-Adaptive Systems for Service-Oriented, Virtualized, and Cloud Computing Environments, May 2012.

·        Chandan Mohapatra (Nokia, formerly Alcatel-Lucent), Next Generation Laboratory: J-Series, EX-Series & IXIA, (co-supervision with Prof. I. Lambadaris) May 2011.

·        Pragash Rajeswaran (CIENA, formerly Nortel), Random Early Detection Technique Based Self-Adaptive Policy, May 2011.

·        Hamid Mottaghi (FavaPars), Packet Length and Port-based IDS Using a Distributed Cluster Scheme for MANETs, May 2011.

 

Completed by M.Cs. (Computer Science) Project: