Dr. Arash Bozorgchenani, University of Leeds, United Kingdom
🎓 Dr. Arash Bozorgchenani earned his Ph.D. in Electronic, Telecommunications, and Information Technology from Universita di Bologna, Italy, in 2020, focusing on computation offloading in fog/edge computing and energy harvesting. Currently serving as a Lecturer (Assistant Professor) at the School of Computing, University of Leeds, since July 2023, he teaches Networks and Procedural Programming while supervising students at all levels. With prior roles as a Research Associate at Lancaster University and a Post-doctoral Researcher at Universita di Bologna and DEI-Digicomm Research laboratory, his expertise spans fog networking, cloud/edge computing, wireless networks, machine learning, optimization problems, cybersecurity, and game theory. Dr. Bozorgchenani has a prolific publication record and has received notable awards for his contributions, including the China Electronics Education Society’s Outstanding Doctoral Thesis Award and the Shaanxi Higher Education Institutions Science and Technology Research Outstanding Achievement Award. 🔍
🌐 Professional Profiles :
Scopus
Orcid
Google Scholar
🎓 Education:
Dr. Arash Bozorgchenani completed his Ph.D. in Electronic, Telecommunications, and Information Technology from Universita di Bologna, Italy, in 2020. His doctoral research focused on computation offloading in fog/edge computing and energy harvesting technologies.
💼 Professional Experience:
He has served as a Lecturer (Assistant Professor) at the School of Computing, University of Leeds, since July 2023, where he teaches Networks and Procedural Programming modules and supervises undergraduate, master’s, and Ph.D. students. Prior to this, he worked as a Research Associate at Lancaster University and as a Post-doctoral Researcher at Universita di Bologna and DEI-Digicomm Research laboratory.
🏆 Awards and Honors:
Dr. Arash Bozorgchenani has garnered a host of accolades throughout his career, including being endorsed by UK Research and Innovation under the Global Talent Route in 2021 🌍, securing a Lancaster University Research Grant for a three-year Research Associate position in 2020 🎓, and receiving a prestigious Universita di Bologna Research Fellowship for his post-doctoral work in 2019 🏆. His academic journey began with a full Ph.D. scholarship at Universita di Bologna in 2016, setting the stage for his subsequent research endeavors and accomplishments.
🌍 Research Interests:
Dr. Bozorgchenani’s research interests include fog networking, cloud/edge computing, wireless networks, machine learning, optimization problems, cybersecurity, and game theory. He has published extensively in these areas and has received recognition for his contributions.
📚 Publications:
He has authored numerous papers in prestigious journals and conferences, focusing on topics such as computation offloading, machine learning, vehicular communication, and optimization techniques.
🔍 Research Achievements:
Dr. Bozorgchenani’s research has been recognized with several awards, including the China Electronics Education Society’s Outstanding Doctoral Thesis Award and the Shaanxi Higher Education Institutions Science and Technology Research Outstanding Achievement Award.
📚 Publication Impact and Citations :
Scopus Metrics:
- 📝 Publications: 23 documents indexed in Scopus.
- 📊 Citations: A total of 419 citations for his publications, reflecting the widespread impact and recognition of Dr. Arash Bozorgchenani’s research within the academic community.
Google Scholar Metrics:
- All Time:
- Citations: 576 📖
- h-index: 12 📊
- i10-index: 13 🔍
- Since 2018:
- Citations: 565 📖
- h-index: 12 📊
- i10-index: 13 🔍
👨🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬
Publications Top Notes :
- Multi-objective computation sharing in energy and delay constrained mobile edge computing environments
- Published in IEEE Transactions on Mobile Computing in 2020.
- 116 citations.
- Centralized and distributed architectures for energy and delay efficient fog network-based edge computing services
- Published in IEEE Transactions on Green Communications and Networking in 2018.
- 60 citations.
- On the design of federated learning in latency and energy constrained computation offloading operations in vehicular edge computing systems
- Published in IEEE Transactions on Vehicular Technology in 2021.
- 59 citations.
- An Energy and Delay-Efficient Partial Offloading Technique for Fog Computing Architectures
- Published in IEEE Globecom in 2018.
- 57 citations.
- Computation offloading in heterogeneous vehicular edge networks: On-line and off-policy bandit solutions
- Published in IEEE Transactions on Mobile Computing in 2021.
- 48 citations.