Nitsa J Herzog

Nitsa J Herzog

Dr Nitsa Herzog is a highly accomplished professional with a unique blend of expertise in the fields of medicine and computer science. Over the past decade, she has focused on developing computer-aided diagnosis methods for various medical pathologies, specialising in applying computer vision and machine learning techniques to diagnose neurodegenerative diseases.

Currently, Nitsa holds the esteemed position of Program Leader for the MSc Big Data & Data Science Technology and MSc Leadership in the Digital Age programs at Northumbria University’s London campus. Additionally, she serves as the Module Leader for the Applied Data Sciences, Internet of Things (IoT), and IoT for Sustainable Development modules, showcasing her commitment to academic leadership and advancing cutting-edge technologies.

Driven by a passion for research, Nitsa’s interests lie in the realm of artificial intelligence, data analysis, and data modelling, with a particular focus on their applications in neuroscience, psychology, and social sciences. Her expertise in machine learning enables her to explore the profound potential of these disciplines, paving the way for ground-breaking advancements and transformative insights.

With a strong medical and computer science background, Dr Nitsa Herzog stands at the forefront of interdisciplinary collaboration, bridging the gap between diverse fields and driving innovation. Her relentless pursuit of knowledge and dedication to pushing scientific discovery’s boundaries make her an invaluable asset to the academic and research communities alike.

Dr Nitsa Herzog is an esteemed researcher with an extensive academic and industry background. She is actively engaged in research at both Northumbria University (NU) and Birkbeck College, demonstrating her commitment to advancing knowledge and contributing to the academic community.

In her early career, Dr Herzog gained valuable experience as a Matlab and SAS programmer, utilising her technical skills to develop innovative solutions. Additionally, she worked as a Business Consultant specialising in Cloud Computing, where she applied her expertise to assist organisations in optimising their technological infrastructure and operations.

With a medical background, Dr Herzog brings a unique perspective to her work. She has valuable experience working in both the Ward and A&E departments of Adolescent Psychiatry, where she provided crucial medical support and care to patients. Furthermore, she actively participated in Clinical Trials as a dedicated researcher, contributing to advancing medical knowledge and developing new treatments and interventions.

  • Herzog, N.J., Magoulas, G.D.: Brain Asymmetry Detection and Machine Learning Classification for Diagnosis of Early Dementia. Sensors, 21(3), p.778 (2021).
  • Herzog, N.J. and Magoulas, G.D., 2021, June. Deep Learning of Brain   Asymmetry Images and Transfer Learning for Early Diagnosis of Dementia. In International Conference on Engineering Applications of Neural Networks (pp. 57-70). Springer, Cham.
  • Herzog, N.J. and Magoulas, G.D., 2022. Machine Learning-Supported MRI Analysis of Brain Asymmetry for Early Diagnosis of Dementia. In Medical Informatics and Bioimaging Using Artificial Intelligence (pp. 29-52). Springer, Cham.
  • Herzog, N.J. and Magoulas, G.D., 2022. Convolutional Neural Networks-Based Framework for Early Identification of Dementia Using MRI of Brain Asymmetry. International Journal of Neural Systems, pp.2250053-2250053.
  • Herzog, N.J. and Magoulas, G.D., 2022. Transfer Learning and Magnetic Resonance Imaging Techniques for the Deep Neural Network-Based Diagnosis of Early Cognitive Decline and Dementia. In International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (pp. 53-66). Springer, Cham.

Qualifications

  • PhD in Computer Vision & Machine Learning, Birkbeck College University of London, London, UK (2023)
  • Master of Science, Technologies and Health, Université Paris-Est Créteil (UPEC), Paris, France (2017)
  • BSc (Honors), Information Technologies and Business Information Systems, Middlesex University London, UK (2011)
  • Doctor of Medicine (MD), Belarusian State Medical University, Minsk, Belarus (1994)

Professional certification and membership

  • Fellowship of the Higher Education Academy (FHEA), (2022)
  • SAS Certified Clinical Trials Programmer Using SAS 9, SAS Institution (2012)
  • Oracle 10g, Administration Part I Certificate, Oracle (2008)
  • MCTS Certificate for Microsoft SQL Server 2005, Microsoft (2008)
  • Cisco Certified Network Associate (CCNA), Cisco (2010)

Our faculty

Dilek Celik

Lecturer and Research Lead

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Dr Ning Tse

Programme Leader

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Dr Jawdat Al-Tarawneh

Business Lecturer and Module Leader for LD9718 Research Methods and Analytics for Business Practice

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Ian Lebeau

Pre-sessional Programme Leader

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Jie Sun

Marketing Lecturer

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Dr. Janakan Sothinathan

Senior Lecturer in Business Management

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Timea Kadar

MSc Digital Marketing Programme Leader

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Rejwan Bin Sulaiman

Lecturer and Module Leader

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Dr Chidera Christian Ugwuanyi

Business Lecturer

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Baba Shaheer Gutappa

Lecturer

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Dr Nasr Abosata

Lecturer in Cybersecurity

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Dr Sandy Hassan

Lecturer and Programme Leader

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Assist. Prof. Dr. Abdulrahman Salih

Assistant Professor in Cyber Security/AI

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Olugbenga Akintola, PhD

Lecturer of Business and Law

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Dr Zhewen Tang

Program Leader for MA Luxury Brand Management

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Richard Chamberlain

English Lecturer and Module Leader for LD7080 Academic Language Skills

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Elena Volodenko

Associate Dean, English for Academic Purposes

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Dr Guy Brown

Director of the Northumbria University London Campus

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Prof Hamid Jahankhani

MSc Cyber Security Programme Leader

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Dr Imad Nawaz

Associate Dean (Post Graduate Business Programmes)

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Dr. Mojdeh Mehrganrad

Graduate Certificate Pre-Masters Business and BA Business (top-up) Programme Leader

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Phil Thomas

MSc Project Management Programme Leader

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Dr Zana Grigaliuniene

BA (Hons) International Banking and Finance (Top-Up) Programme Leader

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Hemalatha Raj

Academic Community of Excellence (ACE) Computing Lecturer

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Matthew Fletcher

Academic Community of Excellence (ACE) Lecturer

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Jo Dennison

Head of Academic Community of Excellence (ACE)

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Dr Elizabeth Achinewhu-Nworgu

Module Leader for Human Resource Management

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Dr Haider al-Khateeb

Cyber Security Lecturer

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Dr. Abdul Ali

Operations and Supply Chain Management Lecturer

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Dr Gordon Bowen

Business and Marketing Lecturer

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Dr Aliar Hossain

Deputy Associate Dean and HoD Advance Practice NUL

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Dr Rose CW FONG

Deputy Associate Dean and HoD Computing Department

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Fin Garvey

Project Management Lecturer

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