Postdoctoral Researcher in Computer Science and Artificial Intelligence
University of Electronic Science and Technology of China
Specializing in Natural Language Processing, Large Language Models, Deep Learning, Machine Learning, Sentiment Analysis, Explainable AI, Human-Centered AI, Data Science, Text Mining, and Conversational Recommender Systems.
Dr. Peter Atandoh is a Postdoctoral Researcher in Computer Science and Artificial Intelligence at the University of Electronic Science and Technology of China. With a strong foundation in machine learning and natural language processing, Dr. Atandoh conducts cutting-edge research focused on developing efficient and scalable solutions for sentiment analysis with Large Language Models.
His research encompasses the intersection of human-centered AI and advanced NLP techniques, with particular emphasis on explainable AI systems and conversational recommender systems. Dr. Atandoh has collaborated with leading researchers and institutions to advance the field of AI and machine learning.
Advanced techniques for understanding and processing human language in computational systems.
Development and optimization of large-scale language models for diverse applications.
Efficient and scalable approaches to analyze sentiments in textual data, particularly with LLMs.
Neural network architectures and training methodologies for complex learning tasks.
Creating interpretable AI systems that provide transparent decision-making processes.
Designing AI systems that prioritize human values and user needs.
Algorithms and methodologies for predictive modeling and pattern recognition.
Extracting meaningful information and patterns from large volumes of textual data.
Interactive systems that provide personalized recommendations through natural dialogue.
Peter Atandoh, Yongkang Li, Weikang Guo, Jinyu Guo, Jie Zou*. (2026). Expert Systems with Applications.
DOI: (https://doi.org/10.1016/j.eswa.2026.132138)Peter Atandoh*, Zhang Fengli*., Adu-Gyamfi, D., Atandoh, P. Nuhoho, R. (2023). Journal Of King Saud University - Computer And Information Sciences.
DOI: https://www.sciencedirect.com/science/article/pii/S1319157823001325Peter Atandoh∗, Fengli Zhang a, Mugahed A. Al-antari b,∗, Daniel Addo a, Yeong Hyeon Gu b,∗ (2024). Heliyon.
DOI: (https://doi.org/10.1016/j.heliyon.2024.e30756Peter Atandoh*, Fengli Zhang*., Adu-Gyamfi, D., Leka, H. & Atandoh, P. (2021). 2021 18th International Computer Conference On Wavelet Active Media Technology And Information Processing (ICCWAMTIP).
DOI: 10.1109/ICCWAMTIP53232.2021.9674171Leka, H., Fengli Z*., Kenea, A., Tegene, A., Peter Atandoh & Hundera, N. (2021). 2021 18th International Computer Conference On Wavelet Active Media Technology And Information Processing (ICCWAMTIP).
DOI: 10.1109/ICCWAMTIP53232.2021.9674067Peter Atandoh*, Fengli Zhang., Hakeem, P., Acheampong, E., Addo, D., Appiah-Twum, M., Adu-Gyamfi, D., Blankson, R. & Giza Wi, T. (2023). 2023 20th International Computer Conference On Wavelet Active Media Technology And Information Processing (ICCWAMTIP).
DOI: 10.1109/ICCWAMTIP60502.2023.10387131Acheampong, E., Zhou, S., Liao, Y., Peter Atandoh, Addo, D., Antwi-Boasiako, E., Nkrumah, R., Aggrey, E. & Appiah-Twum M. (2023). 2023 20th International Computer Conference On Wavelet Active Media Technology And Information Processing (ICCWAMTIP).
DOI: 10.1109/ICCWAMTIP60502.2023.10387139Appiah-Twum, M., Wenbo, X., Mawuli, C. & Peter Atandoh. (2023). 2023 20th International Computer Conference On Wavelet Active Media Technology And Information Processing (ICCWAMTIP).
DOI: 10.1109/ICCWAMTIP60502.2023.10387076Addo, D., Al-Antari, M., Zhou, S., Sarpong, K, Peter Atandoh, Acheampong, E., Muoka, G. & Saleh, R. 2023 7th International Symposium On Innovative Approaches In Smart Technologies (ISAS).
DOI: 10.1109/ISAS60782.2023.10391100University of Electronic Science and Technology of China, 2024
University of Electronic Science and Technology of China, 2025
University of Electronic Science and Technology of China, 2023-2024
Seminar Series, 2023
Currently mentoring 4 graduate students in NLP and machine learning research
Providing guidance on sentiment analysis, LLM optimization, and AI explainability
Supporting students in academic publishing and conference presentations
Collaborating with and supporting junior postdoctoral researchers
Providing guidance to student project work
University of Electronic Science and Technology of China
University of Electronic Science and Technology of China<
University of electronic science and technology of China, (Sep 2019 – July 2024)
University of electronic science and technology of China, (2019 – 2024)
Download a comprehensive view of Dr. Peter Atandoh's education, research experience, publications, and professional activities.
📄 Download Full CV (PDF)Ph.D. in Software Engineering(Artificial Intelligence and Natural Language Processing)
ME. in Software Engineering | B.Sc. in Computing with Accounting
Postdoctoral Researcher, University of Electronic Science and Technology of China
Natural Language Processing, Large Language Models, Sentiment Analysis, Deep Learning, Machine Learning, Explainable AI, Human-Centered AI, Data Science, Text Mining, Conversational Recommender Systems
Affiliation
University of Electronic Science and Technology of China
School of Computer Science and Engineering
Availability
Available for academic collaborations, research partnerships, and conference invitations.