Dr Arash Bozorgchenani

Profile

I am a lecturer in Computer Science at the School of Computing. I obtained my B.Sc. and M.Sc. degrees in IT specializing in Computer Networks in 2013 and 2016, respectively, in Iran. In 2019, I earned a Ph.D. degree in Telecommunications and IT from the University of Bologna in Italy. In 2019, I also worked as a visiting researcher at the University of Manitoba, Canada. Following that, from 2019-2020, I held a post-doctoral position at the University of Bologna, Italy. From 2020-2023 I served as a Research Associate at Lancaster University, the UK.

My research experience spans across various fields including Computer Networking, Cloud/Edge Computing, Future Communication Systems, Wireless Communications, Resource Allocation, Programming, Algorithm Design, Optimization, and AI. I have experience working on national and European projects. One such project was GAUChO, a 3-year project funded by the Italian research minister, which involved 4 Italian universities. The project focused on designing and employing methodologies for a distributed and heterogeneous architecture to integrate fog computing and networking functionalities. Additionally, I actively worked on the H2020 SANCUS project, including 15 partners among 8 European countries, where I was responsible for the problem formulation and optimization of the joint Security-vs-QoS trade-off for Intrusion Detection and Response Systems.

The results of my research activities have been 20+ published papers, several of which are in top-level REF 4* IEEE Transactions, and several additional papers under review/submission. My research outputs have been published in IEEE, Elsevier, Springer, ACM, Wiley, MDPI, and top-level IEEE conferences. I have served as a TPC member, session chair, and organizing member of IEEE flagship conferences. I have also contributed to the academic community by peer-reviewing leading international journals for many years.

Research interests

I have researched a multitude of networking problems (with a higher focus on the networking and application layer), including user-to-server allocation, computation offloading, caching, bandwidth, and bit-rate allocation, service deployment, user clustering, and different resource allocation problems, studied in diverse scenarios and environments, such as static, vehicular edge computing, and air-ground (HAP and drone) communication. Since 2018, I have also been researching the application of AI algorithms to solve networking problems. 

My research interests are Cloud and Multi-access Edge Computing, Computer and Wireless Networking, Network Function Virtualization, Network Slicing, Video Content Delivery, and different methodologies (such as Optimization, AI, and Game-theoretical techniques) for solving network resource allocation problems for B5G/6G.

<h4>Research projects</h4> <p>Any research projects I'm currently working on will be listed below. Our list of all <a href="https://eps.leeds.ac.uk/dir/research-projects">research projects</a> allows you to view and search the full list of projects in the faculty.</p>

Qualifications

• PhD in Telecommunications and IT, University of Bologna, Italy
• B.Sc. and M.Sc. in IT (Computer Networks), Iran

Professional memberships

• IEEE Member

Research groups and institutes

• Distributed Systems and Services

<h4>Postgraduate research opportunities</h4> <p>We welcome enquiries from motivated and qualified applicants from all around the world who are interested in PhD study. Our <a href="https://phd.leeds.ac.uk">research opportunities</a> allow you to search for projects and scholarships.</p>

Projects

<li><a href="//phd.leeds.ac.uk/project/1914-collaborative-intelligent-computing-services-in-integrated-space-air-terrestrial-networks-">Collaborative Intelligent Computing Services in Integrated space-air-terrestrial Networks </a></li> <li><a href="//phd.leeds.ac.uk/project/1855-joint-localisation,-sensing-and-computation-for-future-communication-systems">Joint Localisation, Sensing and Computation for Future Communication Systems</a></li>