Best Machine Learning Specialists New Castle Near You

Author and references

WHAT ARE YOU LOOKING FOR

freelancers machine learning specialists New Castle

Tom Ryder
San Diego, California
Skills
  • Python
  • Machine Learning
  • Statistical Modeling
  • Research
  • R
  • SQL
  • Neo4j
  • Microsoft Azure
  • Amazon Web Services (AWS)
  • Java
  • Matlab
  • Big Data Analytics
  • Apache Spark
  • Cloud Computing
  • NoSQL
  • Shell Scripting
  • Secure Shell (SSH)
  • Web Servers
  • Data Science
  • Reinforcement Learning
  • Position: Machine Learning Scientist (Senior Engineer)
  • Current company: Qualcomm

Machine learning researcher with experience in computer vision, Bayesian statistics, generative modelling and data compression.


Experience
  • Machine Learning Scientist (Senior Engineer)
    Qualcomm
    1/2022
    San Diego, California, United States
  • Machine Learning Scientist
    Huawei
    1/2021
    London, United Kingdom
  • Machine Learning Scientist
    Deep Render
    6/2020
    London, England, United Kingdom
  • Teaching Assistant
    Newcastle University
    9/2017
    Newcastle upon Tyne, England, United Kingdom
  • Data Scientist (Intern)
    Red Hat
    1/2017
    Newcastle upon Tyne, United Kingdom
Training
  • Newcastle University
    Doctor of Philosophy (PhD)
    2017
  • Newcastle University
    Master's degree
    2016
  • Northumbria University
    Bachelor's degree
    2013
Jake Cowton
Newcastle upon Tyne, England
Skills
  • Deep Learning
  • DevOps
  • PyTorch
  • Computer Vision
  • Machine Learning
  • Research
  • Programming
  • Project Management
  • Computer Science
  • Big Data
  • Web Development
  • Artificial Intelligence (AI)
  • Amazon Web Services (AWS)
  • Python
  • Linux
  • HTML
  • Visual Basic
  • CSS
  • SQL
  • Git
  • Position: Machine Learning & Lead Data Engineer
  • Current company: Welcome: Real time travel plans
  • Languages: English · French · German

I'm an experienced ML engineer with expertise in the full life cycle of Deep Learning and Computer Vision models, from data collection and pipelines, to custom model design and deployment at scale.

My PhD research focused on applications of deep learning in precision agriculture. Alongside my academic work, I also have experience working in startups and bigger businesses. Whilst working towards my PhD, I co-founded two startups, which gave me an incredible rage of experiences.

Though my research background is in computer vision and time series analysis, my interests also lie in NLP, DevOps/MLOps, and privacy-preserving AI.


Experience
  • Machine Learning & Lead Data Engineer
    Welcome: Real time travel plans
    3/2020
    Remote
  • Senior Researach Associate
    Northumbria University
    2/2020
    Newcastle upon Tyne, United Kingdom
  • Co-Founder & Chief Scientific Officer
    Fair Custodian
    10/2018
    Newcastle upon Tyne, United Kingdom
  • Co-Founder
    Research Analytics
    10/2017
    Newcastle upon Tyne, United Kingdom
  • Research Technician
    Newcastle University
    10/2015
    Newcastle upon Tyne, United Kingdom
  • Software Developer
    CloudTrade
    7/2015
    Newcastle upon Tyne, United Kingdom
  • Technical Student
    CERN
    6/2013
    Meyrin, Geneva, Switzerland
Training
  • Newcastle University
    Doctor of Philosophy (Ph.D.)
    2016
  • Northumbria University
    BSc (Hons)
    2011
Bing Zhai
Newcastle upon Tyne, England
Skills
  • Navision
  • Experienced Business Analyst
  • ERP
  • Machine Learning
  • Data Warehousing
  • Data Mining
  • SharePoint
  • C#
  • .NET
  • T-SQL
  • Unix
  • Microsoft SQL Server
  • Databases
  • Database Design
  • ETL
  • SSIS
  • SSRS
  • Business Intelligence
  • Embedded Software Programming
  • Machine
  • Position: EPSRC Applied Machine Learning PhD Student (FT)
  • Current company: Newcastle University
  • Languages: English


Experience
  • EPSRC Applied Machine Learning PhD Student (FT)
    Newcastle University
    9/2018
    Newcastle upon Tyne, United Kingdom
  • Specialised Project Manager(PT)
    James Jones & Sons Ltd
    9/2017

  • IT Manager
    James Jones & Sons Pallets and Packaging
    5/2016
    Gateshead
  • IT Manager / BI programmer
    Twp-Packaging
    10/2009
    Gateshead
Training
  • Newcastle University
    PhD Candidate (FT)
    2018
  • University of Cambridge
    Visiting Researcher
    2021
  • Newcastle University
    Master’s Degree
    2013
  • Northumbria University
    Master’s Degree
    2008
Stephan Chalup
Greater Newcastle Area
Skills
  • Higher Education
  • Theory
  • University Teaching
  • Research
  • Management
  • Autonomous Agents
  • Machine Learning Applications
  • Aged Care Research
  • Big Data
  • Robotics
  • C
  • Computer Vision
  • Java
  • Artificial Neural Networks
  • Artificial Intelligence (AI)
  • Data Analytics
  • Deep Learning
  • Machine Learning
  • Programming
  • Software Development
  • Position: Professor
  • Current company: The University of Newcastle, Australia
  • Languages: English · German

Professor Stephan Chalup works in the areas of Artificial Intelligence and Machine Learning at the University of Newcastle, Australia. He was awarded his PhD in Computing in 2001 by QUT where he had studied at the Machine Learning Research Centre. Before he came to Australia he completed postgraduate studies in mathematics and neuroscience at the University of Heidelberg in Germany. His research interests include artificial neural networks, topological data analysis, manifold learning, humanoid robots, and autonomous agents. He is on the editorial boards of several journals, chaired conferences, and acted in various administrative roles including Head of Discipline. He heads and built up the Newcastle Robotics Lab and the Interdisciplinary Machine Learning Research Group.

https://www.newcastle.edu.au/profile/stephan-chalup
https://orcid.org/0000-0002-7886-3653


Experience
  • Professor
    The University of Newcastle, Australia
    1/2022

  • Associate Professor in Computing and IT
    University of Newcastle
    9/2000
    Callaghan, NSW, Australia
Training
  • QUT (Queensland University of Technology)
    Ph.D.
    1997
  • Heidelberg University
    Diplom-Mathematiker
  • University of Konstanz
    Vordiplom
    1984
  • Friedrich-Alexander-Universität Erlangen-Nürnberg

Amir Ebrahimi
Sydney, New South Wales
Skills
  • Pspice
  • Pattern Recognition
  • Image Processing
  • Neural Networks
  • Machine Vision
  • Matlab
  • Simulink
  • Labview
  • C
  • C++
  • VHDL
  • Machine Learning
  • Engineering
  • Orcad
  • Verilog
  • Simulations
  • Digital Signal Processors
  • Proteus
  • Signal Processing
  • Artificial Intelligence
  • Position: Machine Learning Engineer
  • Current company: EMVision Medical Devices Ltd
  • Languages: American English · Arabic · Persian

I received my master’s degree in Digital Electronics from the Amirkabir University of Technology, Tehran, Iran, in 2012. Currently, I am a PhD student in Information Technology at the University of Newcastle, Australia. I have academic publications and experience in software/hardware programming for several companies. My research interests are image processing, computer vision, machine learning, and artificial intelligence.


Experience
  • Machine Learning Engineer
    EMVision Medical Devices Ltd
    9/2021
    Sydney, New South Wales, Australia
  • Teaching Assistant
    University of Newcastle
    1/2020
    Newcastle, New South Wales, Australia
  • Hardware Software Design Engineer
    Abrisham Road Intelligent Systems
    11/2015
    Tehran Province, Iran
  • Hardware Software Design Engineer
    Takeen Company
    3/2015
    Tehran Province, Iran
  • Hardware Software Design Engineer
    Khazra Co.
    7/2014
    Tehran
  • Expert in Imaging Payload Subsystem
    Iran University of Science and Technology
    6/2013
    IUST Satellite Research Center, Imaging Payload Subsystem
  • Intern at power distribution facility
    Esfahan's Mobarakeh Steel Company
    6/2010
    Esfahan, Iran
Training
  • University of Newcastle
    Doctor of Philosophy - PhD
    2018
  • Amirkabir University of Technology - Tehran Polytechnic
    Master of Science (M.Sc.)
    2010
  • Shahrekord University
    Bachelor's degree
    2006
  • National Organization for Development of Exceptional Talents (Sampad)
    High School
    2002
Farshid Keivanian
Newcastle, New South Wales
Skills
  • Evolutionary Computation
  • Multi-objective Optimization
  • Machine Learning
  • Fuzzy Logic
  • Fuzzy Systems
  • Metaheuristics
  • Many-objective optimization
  • Neural Networks
  • Pattern Recognition
  • Artificial Neural Networks
  • Prediction
  • Google Colab
  • Microsoft Excel
  • Microsoft Access
  • NVivo
  • Tableau
  • Camtasia
  • MATLAB
  • Simulink
  • PostgreSQL
  • Position: Research and Development of Novel Software and Mobile Apps-Machine Learning and Data Analysis
  • Current company: Faraz Danesh Keivan Co.
  • Languages: English · Persian

Biography – Spearheaded the establishment of novel parallel search algorithms and decision-making models as the PhD student of Prof. Raymond Chiong. Refined accountability, problem-solving, self-motivated, innovative multi-skilled, independent researcher, and interpersonal skills introducing novel open-source platforms. Planned learning agility with a passion for solving new health, science, and engineering challenges using Artificial Intelligence. Processed data and performed complex calculations with Unix shell and High-Performance Computing (HPC). Trained top skills include Machine Learning, Quantitative and Qualitative Data Analysis, Statistical Analysis, Microsoft 365, LaTeX, Advanced Academic Writing and Speaking Style, and high-level expertise in a range of programming languages (MATLAB, Python, R, C/C++, bash, Java, and SQL). Excellent written scientific communication skills by completing six research studies sent to or published by the journals of Expert Systems with Applications (ESWA), Fuzzy Sets and Systems (FSS), Soft Computing (SC), Computational Science (CS), and PLOS ONE.
- Published paper fuzzy-metaheuristic single and multi-objective methods in ESWA to solve (or optimise) complex multimodal single and multi-objective optimisation problems by performing a fuzzy logic-based parallel search in the solution space. Comprehensive experiments have been conducted, and the results showed that our proposed approaches' performance is superior to well-established algorithms on complex benchmarks. The article has a direct link to the developed open-source software.
- Collected and analysed body fat lipids and circumferences data and established a novel, multi-objective fuzzy-evolutionary machine learning framework. The model can track fat deposits across the most vital features and produce more precise predictions than the current machine learning models in the literature (SC).
- Proposed a novel fuzzy logic-based suppressed/reinforced learning mechanism to identify representative patterns in highly overlapped, high-dimensional, and large-scale datasets (FSS).
- Designed a novel fuzzy evolutionary optimiser with my supervisor and the research team (Prof. Amir H Gandomi and Dr Alireza Kashani) to solve a complex geotechnical problem with minimum cost, weight, CO2 emission, and earthquake resistance (CS).

Awarded 4th place on the mobile app integration of a novel body fat prediction model at the Life Science Innovation export hub's pitch program at QUT. Hold the University of Newcastle fully funded stipend and tuition fees.


Experience
  • Research and Development of Novel Software and Mobile Apps-Machine Learning and Data Analysis
    Faraz Danesh Keivan Co.
    12/2015
    Esfahan, Iran
  • Research and Development of Novel Embedded Systems
    Raadiran Industrial Group Training and Research Center
    5/2008
    Esfahan, Iran
Training
  • University of Newcastle
    Doctor of Philosophy - PhD
    2018
  • University of Birjand
    Master of Science - MS
    2013

We help you choose machine learning specialists New Castle

We know you're looking for machine learning specialists New Castle and we know we'll help you with everything!
The combination of being a university city par excellence and being situated on the banks of the River Tyne makes it an explosive mix of a great tourist option. All you have to do is come and we'll do the rest, as we'll show you everything you need to know at fornewcastlelovers.com. We have a twin town called Gateshead, for next door two centuries ago in the midst of the Industrial Revolution we half maintained a shipbuilding and manufacturing centre, and since then, our people have treated each other with kindness and cheerfulness.
Characterised by many experts as one of the best British cities to live in, you're about to explore fornewcastlelovers.com, as we have hundreds of posts prepared for you, to educate you, and to make you fall in love with our city, which for us is the most beautiful city in the world!
Let's get to it! Fall in love with New Castle, fall in love with fornewcastlelovers.com.