Several students have completed their advanced degrees under the supervision of Raazesh Sainudiin. A list of current and former students is given below.

## Prospective MS or PhD Student

You may pursue research under my supervision in an area of mutual interest. Drop by my office for a chat if you are interested. You are welcome to send me a statement of purpose, a written research report (if available) and CV if you are not in Uppsala, Sweden.

Here is a subset of the following possible PhD topics:

- Mathematical models of meme evolution and their scalable statistical inference from global twitter streams in Apache Spark
- Scalable machine-learning and nonparametric methods in Apache Spark
- Scalable computer-aided proofs in Apache Spark
- Set-valued Mathematics, Applied Interval Analysis
- Randomized Set-valued Algorithms
- Nonparametric Statistical Methods with Recursively Computable Statistical Information Structures
- Mathematical Genetics: Combinatorial Stochastic Processes in Molecular Genetics
- Statistical Genetics: Sufficiency and Approximate Sufficiency of Statistical Experiments in Molecular Genetics, Particle Filtering over Partially-Ordered Experiments Graph
- Computational Genetics: Computationally Intensive Inference in Molecular Genetics using Approximate Bayesian/Likelihood Computations,
- Spatial Stochastic Processes for Image Formation
- Rigorous Parameter Estimation for a measurable double pendulum

## Current Students

### PhD Students

Currently there are no PhD students as primary supervisees.

### Masters Students

- 2020, Masters in Applied Mathematics and Statistics, Tian Yu Liu - (Senior Supervisor)
- 2020, Masters in Applied Mathematics and Statistics, Kieran Barber - (Senior Supervisor)
- 2020, Masters in Applied Mathematics and Statistics, Amelia Andersdotter - (Senior Supervisor)
- 2020, Masters in Applied Mathematics and Statistics, Jimmy Norqvist - (Senior Supervisor)
- 2020, Masters in Applied Mathematics and Statistics, Christoffer Långström - (Senior Supervisor) - Privacy Protecting Data Science: Models With Integrated Privacy Protection and GDPR Compliant Learning - thesis TBD - talk.

## Former Students

### At Uppsala University, Uppsala, SE

- 2019, Masters in Information Technology (Civilingenjör i IT), Kasper Ramström - (Senior Supervisor) - Botnet detection on flow data using the reconstruction error from Autoencoders trained on Word2Vec network embeddings.
- 2019, Masters in Mathematics, Joel Dahne - (Senior Supervisor) - Privacy and Analysis of Trajectories and Co-Trajectories thesis (1.9MB) and talk (5.7MB)
- 2018, Masters Programme in Mathemtics, Niklas Fastlund - (Thesis Examiner; Supervised by Kristiaan Pelckmans)
- 2018, Candidate Programme, Independent Project in Engineering Physics (Civilingenjör i Teknisk Fysik) Computational Science, Olof Björck (Main Supervisor)
- 2017, Masters Programme in Engineering Physics (Civilingenjör i Teknisk Fysik) Computational Science, Joakim Johansson - (Senior Supervisor; Examined by David Sumpter)

### At University of Canterbury, Christchurch, NZ

- 2016-2017, MSc Computational and Applied Mathematical Science, Rania Sahioun - (Co-Supervisor)
- 2014-2015, MSc Computational and Applied Mathematical Science, Jasper McKenzie - (Senior Supervisor). Jasper was awarded a Callaghan Career Award and took a permanent position as a Data Scientist in Telstra New Zealand’s Research and Development team, Christchurch. NZ.
- 2013-2014, MSc Computational and Applied Mathematical Science, Alan Williams - (Senior Supervisor). Joined a local IT company.
- 2014, PhD Computational and Applied Mathematics, Steve Manion - Unsupervised Knowledge-based Word Sense Disambiguation: Exploration and Evaluation of Semantic Subgraphs (Senior Supervisor). Steve won a Callaghan Career Award and took a permanent position as Data Scientist in Telstra New Zealand’s Research and Development team, Christchurch. NZ.
- 2014, PhD Mechanical Engineering, Hamid Asgari - Modelling and Control of Industrial Power Plant Gas Turbines Using Artificial Neural Networks (Co-supervisor).
- 2014, MSc Mathematics with Distinction, Connor Robinson-Arnull - A confidence-weighted temporal approach to recommender systems (Senior Supervisor). Connor joined a PhD Program in Pure and Applied Logic (PAL) at Carnegie Mellon University, Pittsburg, PA, USA in 2014
- 2013, MSc Statistics with Distinction, Irene Van Woerden - A statistical investigation of the risk factors for tuberculosis (Co-supervisor). 1) Irene joined Pagasus Health, Christchurch, NZ, as an information analyst in 2013 and (2) then joined a PhD program in Statistics at Arizona State University, Tempe in 2014.
- 2013, MSc Statistics with Distinction, Jennifer Harlow - Data-Adaptive Multivariate Density Estimation Using Regular Pavings, With Applications to Simulation-Intensive Inference (Senior Supervisor). Jennifer joined the School of Mathematics and Statistics, University of Canterbury, Christchurch, NZ, as a Senior Academic Tutor.
- 2013, PhD Statistics, Gloria Teng - Density Estimation with Statistical Regular Pavings (Senior Supervisor). Joined University Tunku Abdul Rahman, Kuala Lumpur, Malaysia as Lecturer in Data Mining.
- 2011, BSc Honours, Nuradilla Azhari - Exact transdimensional estimation of primate genetrees. High-school Maths and Stats Teacher in Malaysis.
- 2009-2010: Thomas Steinke - A Rigorous Extension of the Schönhage-Strassen Integer Multiplication Algorithm Using Complex Interval Arithmetic. Thomas joined a PhD program in Computer Science at Harvard University, Cambridge, Massachusetts, USA.
- 2009-2010: Josh Collins - Statistical Classification of Medical Images. Joined Maths PhD Program at Massey University, Palmerston North, New Zealand.
- 2008-2009: Piers Lawrence - UC Summer Scholar on A Mechatronically Measurable Double Pendulum. Joined Applied Maths PhD Program at University of Western Ontario, London, Canada.
- 2007-2008: Bry Ashman - programming for Galton’s Septcunx, a Visual Cognitive Tool GUI. Joined IP Traffic Analysis Team in local industry.