email: firstname.lastname AT warwick DOT ac DOT uk
I am broadly interested in applying probability theory to understand the performance of networks and algorithms. I am particularly interested in algorithms and analysis for large-scale networks which include many real-world examples such as social networks, cloud networks, the internet, artificial neural networks, etc. I try to understand the performance of these networks by analysing the stochastic dynamics which describes the time evolution of the nodes and edges constituting the networks. Some keywords that describe my research are
- Applied Probability
- Performance Modelling and Analysis
- Dynamics of Complex Networks
- Mathematical Foundations of Machine Learning
I am always looking for motivated Ph.D. students with strong mathematical background to work with me. To have a better understanding of the type of research I do, please have a look at some of my recent papersLink opens in a new window. If you are interested to work with me, please send in your CV. Students with non-CS background (e.g., in Mathematics, Statistics, Electrical Engineering) are encouraged to apply. Information on the application process and funding opportunities can be found hereLink opens in a new window and hereLink opens in a new window.
The CS department at Warwick is one of the top computing departments in the UK (it ranks 4th among all computing departments in the latest Research Excellence Framework). It is well known for its research in theoretical and foundational areas of computer science. It is also strongly connected to the reknowned Warwick Mathematics Institute (WMI)Link opens in a new window.
- ACM SIGMETRICS/IFIP Performance 2023
- IFIP Performance (2020, 2021)
- International Teletraffic Congress (2019,2020,2022,2023)
- Organiser of workhop on "Queuing Theory for Emerging Classical and Quantum Systems (QTECQS)Link opens in a new window" at IFIP Performance 2023.
- Rising Scholar Award, International Teletraffic Congress, 2018
- Best Paper Award, IFIP Performance 2015
- Best Paper Award, International Teletraffic Congress 2015
- Best-in-session Presentation Award (in Scheduling-1 Session), IEEE INFOCOM 2018
- ST343/ST419: (Advanced) Topics in Data Science (Years taught: 2021-22, 2022-23)
- CS241: Operating Systems and Computer Networks (Years taught: 2019-20, 2020-21, 2021-22, 2022-23, 2023-24)
- S. Bhambay, A. Mukhopadhyay, and T. Vasantam, "The Power of Two Choices with Load Comparison ErrorsLink opens in a new window", ACM Mobihoc 2023.
- A. Mukhopadhyay, "Phase Transitions in Biased Opinion Dynamics with 2-choices RuleLink opens in a new window", Probability in Engineering and Informational Sciences, 2023.
- S. Bhambay, A. Mukhopadhyay, “Asymptotic Optimality of Speed-Aware JSQ for Heterogeneous Service SystemsLink opens in a new window”, Performance Evaluation, vol. 157, pp. 102320, 2022.
- A. Mukhopadhyay, R. R. Mazumdar, R. Roy, “Voter and Majority Dynamics with Biased and Stubborn AgentsLink opens in a new window”, Journal of Statistical Physics, vol. 181, pp. 1239–1265, 2020.
- A. Mukhopadhyay, N. Hegde, M. Lelarge, “Asymptotics of Replication and Matching in Large Caching SystemsLink opens in a new window”, IEEE/ACM Transactions on Networking, vol. 27(4), pp. 1657-1668, 2019.
- A. Mukhopadhyay, A. Karthik, and R. R. Mazumdar, “Randomized Assignment of Jobs to Servers in Heterogeneous Clusters of Shared Servers for Low DelayLink opens in a new window”, Stochastic Systems, vol. 6(1), pp. 90-131, 2016.
- A. Mukhopadhyay, R. R. Mazumdar, “Analysis of Randomized Join-The-Shortest-Queue (JSQ) Schemes in Large Heterogeneous Processor Sharing SystemsLink opens in a new window”, IEEE Transactions on Control and Network Systems, vol. 3(2), pp. 116-126, 2016.
Full list of publications can be found on Google ScholarLink opens in a new window
- Sanidhay Bhambay (2020-Present)
- Ruaidhri Archbold (2022-23)
- Ying Jin (2022-23)
- Gabriel Wright (2021-22)
- Ryan Headlam (2021-22)
- Mitch Goh (2020-21)
- Ernie Chow (2019-20)