Pokhrel, Sangita

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Contact

profile_image:

Name:

Pokhrel, Sangita

Email:

s.pokhrel@yorksj.ac.uk

Department:

London Campus

Organisation:

Computer Science and Data Science, York St Joh University, London Campus

Biography

Expertise:

Machine Learning, Big Data, Artificial Intelligence

Job title:

Lecturer

My Latest

Pokhrel, Sangita ORCID: https://orcid.org/0009-0008-2092-7029, Poudel, Sanjaya, Banjade, Shiv Raj, Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090 and Goonawardane, Chathurika (2025) Generative AI and Job Vulnerability: A Global Review. Recent Research Reviews Journal, 4 (2). pp. 281-305.
Chaudhary, Abhishek, Pokhrel, Sangita ORCID: https://orcid.org/0009-0008-2092-7029, Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090, Shah, Prashant Bikram ORCID: https://orcid.org/0009-0009-4149-0855 and Somasiri, Nalinda ORCID: https://orcid.org/0000-0001-6311-2251 (2025) Drug Review Sentiment Analysis: Applying Transformer-Based Models for Enhanced Healthcare. Journal of Data Science and Intelligent Systems. pp. 1-11.
Hamzat, Babatunde, Pokhrel, Sangita ORCID: https://orcid.org/0009-0008-2092-7029 and Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090 (2025) Early prediction of Alzheimer’s disease using machine learning algorithm: A convolutional neural network approach. Brain & Heart.
Somasiri, Nalinda ORCID: https://orcid.org/0000-0001-6311-2251, Alam, Amjad ORCID: https://orcid.org/0000-0001-7975-9973, Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090, Pokhrel, Sangita ORCID: https://orcid.org/0009-0008-2092-7029, Shah, Prashant Bikram ORCID: https://orcid.org/0009-0009-4149-0855, Karunarathne, Lakmali ORCID: https://orcid.org/0009-0000-7720-7817 and Ling, Soonleh ORCID: https://orcid.org/0000-0002-7104-3812 (2025) Comprehensive Learning of Artificial Intelligence and Machine Learning - Series 1: Uncover the Mystery of AI and ML for Beginners and Students. Amazon, Independently published
Shah, Prashant Bikram ORCID: https://orcid.org/0009-0009-4149-0855, Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090, Ling, Soonleh ORCID: https://orcid.org/0000-0002-7104-3812, Pokhrel, Sangita ORCID: https://orcid.org/0009-0008-2092-7029 and Somasiri, Nalinda ORCID: https://orcid.org/0000-0001-6311-2251 (2025) Histopathology Image Augmentation Using Generative Adversarial Models for Breast Cancer Diagnostics. In: 2025 International Aegean Conference on Electrical Machines and Power Electronics (ACEMP) & 2025 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM). IEEE, pp. 1-7
Karunarathne, Lakmali ORCID: https://orcid.org/0009-0000-7720-7817, Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090, Somasiri, Nalinda ORCID: https://orcid.org/0000-0001-6311-2251 and Pokhrel, Sangita ORCID: https://orcid.org/0009-0008-2092-7029 (2025) Navigating the Future: Blockchain-based Metaverse in Education. Journal of Information Technology and Digital World, 6 (4). pp. 373-387.
Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090, Karunarathne, Lakmali ORCID: https://orcid.org/0009-0000-7720-7817, Mahato, Ghanshyam and Pokhrel, Sangita ORCID: https://orcid.org/0009-0008-2092-7029 (2025) Unveiling the ChatGPT Educational Revolution: Assessing the Dynamic Impact on Students and Educators. Journal of Data Science and Intelligent Systems.
Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090, Pokhrel, Sangita ORCID: https://orcid.org/0009-0008-2092-7029 and Somasiri, Nalinda ORCID: https://orcid.org/0000-0001-6311-2251 (2025) Navigating the ethics and legality of deepfake technology: advancements, implications and responsible deployment. In: Ramamurthy, Karthik, Kulanthaivelu, Suganthi, Anand, Shajina and Murugan, Thangavel, (eds.) Generative AI Unleashed. The Institution of Engineering and Technology, pp. 159-176
Pokhrel, Sangita ORCID: https://orcid.org/0009-0008-2092-7029, Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090, Ling, Soonleh ORCID: https://orcid.org/0000-0002-7104-3812 and Somasiri, Nalinda ORCID: https://orcid.org/0000-0001-6311-2251 (2025) Understanding the Behaviors and Detecting the Mental Health Symptoms Among Students Using Machine Learning Algorithms. In: Raj, G., Unhelker, B. and Choudhary, A., (eds.) Advances in Artificial Intelligence and Machine Learning. Lecture Notes in Electrical Engineering (1264). Springer, pp. 13-30
Ganesan, Swathi ORCID: https://orcid.org/0000-0002-6278-2090, Karunarathne, Lakmali ORCID: https://orcid.org/0009-0000-7720-7817, Pokhrel, Sangita ORCID: https://orcid.org/0009-0008-2092-7029, Somasiri, Nalinda ORCID: https://orcid.org/0000-0001-6311-2251 and Kumar, Ganapathy (2025) Agricultural Application of Convolutional Neural Networks: A Case Study on Potato Plant Disease Detection Using Keras Image Generator and Data Augmentation Techniques. Journal of Innovative Image Processing, 6 (4). pp. 433-455.

My Most Viewed

#	Item title
1	Building Customized Chatbots for Document Summarization and Question Answering using Large Language Models using a Framework with OpenAI, Lang chain, and Streamlit	1450	1135
2	Empowering Education by Developing and Evaluating Generative AI-Powered Tutoring System for Enhanced Student Learning	1011	734
3	AI Content Generation Technology based on Open AI Language Model	840	592
4	Enhancing the Usability, Visibility, and Responsiveness of an Airline Reservation System: A User-Centered Design Approach	459	250
5	A Practical Application of Retrieval-Augmented Generation for Website-Based Chatbots: Combining Web Scraping, Vectorization, and Semantic Search	374	313
6	Enhanced Early Detection of Thyroid Abnormalities using a Hybrid Deep Learning Model: A Sequential CNN and K-Means Clustering Approach	292	199
7	Understanding the Behaviors and Detecting the Mental Health Symptoms Among Students Using Machine Learning Algorithms	66
8	Early prediction of Alzheimer’s disease using machine learning algorithm: A convolutional neural network approach	35	15
9	Drug Review Sentiment Analysis: Applying Transformer-Based Models for Enhanced Healthcare	7	1
10	Generative AI and Job Vulnerability: A Global Review	4	1