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.
- Co-advised PhD Students
- Olga Sunneborn Gudnadottir, CIM PhD Student, Uppsala University
- Albin Toft, WASP PhD Student, KTH
- Yasmin Tousinejad, WASP PhD Student, Uppsala University

### Masters Students under Progress

- 2023, Masters in Applied Mathematics and Statistics, Axel Sandstedt - (Senior Supervisor), Minimising Communication Costs in a Distributed Density Estimation Algorithm with Universal Performance Guarantees
- 2023, Masters in Applied Mathematics and Statistics, Kristofer Torp - (Senior Supervisor), Scalable Geospatial Trajectory Analysis from Antennae Signals in Time
- 2023, Masters in Applied Mathematics and Statistics, Alexander Christiansson - (Senior Supervisor), Nonparametric L1 Regression with Universal Performance Guarantees
- 2023, Masters in Data Science (Engineering Track), Oskar Asbrink - (Senior Supervisor), Exjobb thesis with Sensmetry
- 2023, Masters in Data Science (Engineering Track), Nicolás Martín Bekier - (Senior Supervisor), Exjobb thesis with trase
- 2020, Masters in Applied Mathematics and Statistics, Amelia Andersdotter - (Senior Supervisor)
- 2020, Masters in Applied Mathematics and Statistics, Jimmy Norqvist - (Senior Supervisor)

## Former Students

### At Uppsala University, Uppsala, SE

- 2022, Masters in Data Science (Data Engineering Track), Suparerk Angkawattanawit - (Senior Supervisor), LOCK-IN FREE: Lock-In Free Research Enablement Environment, thesis
- 2022, Masters in Information Technology (Civilingenjör i IT), Ammar Aldahiani - (Senior Supervisor), Big Data Interactive Visualization, thesis, video
- 2022, Masters in Applied Mathematics and Statistics, Johannes Graner - (Senior Supervisor), Scalable Algorithms in Nonparametric Computational Statistics, thesis, code, video
- 2022, Masters in Applied Mathematics and Statistics, Liyuan Zhang - (Senior Supervisor), Distributed Trajectories under Mobile Phone Network, thesis, code, video
- 2022, Masters in Data Science (Statistics and ML Track), Virginia Jimenez Mohedano - (Senior Supervisor) - Estimation of Point Processes on Directed Graphs thesis, code, video
- 2022, Masters in Data Science (Statistics and ML Track), Stavroula Rafailia Vlachou - (Senior Supervisor) - Simulations of Point Processes on Directed Graphs, thesis, code, video
- 2022, Masters in Information Technology (Civilingenjör i IT), Mattias Minuer - (Senior Supervisor) - Detecting Dissimilarity in Discourse on Social Media, thesis
- 2022, Masters in Applied Mathematics and Statistics, Kieran Barber - (Senior Supervisor) - Random Graph Models of a neocortical column in a rat's brain and their topological statistical distributions, thesis, code, video
- 2021, Masters in Applied Mathematics and Statistics, Alfred Lindström - (Senior Supervisor), Hawkes Processes on Social Media and Mass Media: A Case Study of the Black Lives Matter Movement in the Summer of 2020, thesis In Diva under progress, code, video
- 2022, Bachelor's Thesis in Applied Mathematics and Statistics, (Main Supervisor) - Mapped Regular Pavings, video
- 2021, Bachelor's Thesis in Applied Mathematics and Statistics, (Main Supervisor) - Simulating Transmission Processes on Networks thesis, video
- 2020, Masters in Applied Mathematics and Statistics, Christoffer Långström - (Senior Supervisor) - Privacy In Data Science: Statistical Models with Integrated Privacy Protection and GDPR Compliant Learning - thesis, talk.
- 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 preprint (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.