Sepehr Karimi Arpanahi
About Me
I recently got my Master’s degree in Computer Engineering at the ECE School of the University of Tehran, Iran. My research interests lie at the intersection of Natural Language Processing (NLP), Social Network Analysis and Applied Machine Learning techniques for solving real-world problem. As a Research Assistant at the Social Networks Laboratory, I work under the mentorship of Dr. Masoud Asadpour to investigate cutting-edge techniques in predictive modeling and user interaction analysis on social media platforms. This lead to my Master’s thesis, titled “Retweet Prediction using Graph Neural Networks and Representation Learning,” focuses on predicting user interactions, such as retweets, on platforms like X (formerly Twitter). By leveraging Graph Neural Networks (GNNs) and Representation Learning, my research aims to improve the understanding of content diffusion and user behavior in dynamic, large-scale social networks.
I am also involved in collaborative research projects with Columbia University and Nottingham Trent University, exploring the use of Large Language Models (LLMs) for clinical decision support and the early detection of Alzheimer’s Disease. In these projects, I apply EEG signal analysis, deep learning, and multimodal data to develop predictive models with potential applications in healthcare.
Education
- M.Sc. in Computer Engineering, University of Tehran (2021 – 2024)
- B.Sc. in Electrical Engineering, Amirkabir University of Technology - Tehran Polytechnic (2016 – 2021)
Recent News
SofiaMind’s First Client
Published:
A significant milestone for SofiaMind was securing our first major client, the University of Tehran, in March 2024. We successfully deployed a chatbot system to handle various university services, from answering student inquiries to assisting with administrative tasks.
Research Assistantship at Nottingham Trent University
Published:
In March 2024, I joined Nottingham Trent University as a remote Research Assistant, working under the guidance of David Brown, Mufti Mahmud, Alexander Sumich, and Nadja Heym. Our project involves conducting a systematic review of deep learning approaches on EEG data for the early detection of Alzheimer’s Disease and Mild Cognitive Impairment (MCI).
Joining OptiGrid
Published:
In January 2024, I began working remotely with OptiGrid Pty Ltd, an Australian company focused on energy optimization solutions. My role involves building APIs for data-driven decision-making and performing data analysis and modeling to enhance system efficiency.
Research Assistantship at Columbia University
Published:
Starting in January 2024, I joined Columbia University as a remote Research Assistant under the mentorship of Dr. Maryam Zolnoori. Our research focuses on leveraging large language models (LLMs) for clinical decision support, with the ultimate goal of developing real-time diagnostic tools for healthcare.
Starting SofiaMind
Published:
Starting a company has always been a dream of mine, and in September 2023, I co-founded SofiaMind with a few talented students at University of Tehran. Our vision was to create intelligent chatbots leveraging state-of-the-art AI technologies such as large language models (LLMs) and retrieval-augmented generation (RAG).
Professional Experience
- Co-Founder and AI Engineer, SofiaMind Chatbot (September 2023 – Present)
- Building an intelligent chatbot powered by LLMs and Retrieval-Augmented Generation (RAG).
- Integrating cutting-edge NLP techniques for real-time customer support.
- Data Scientist and Backend Developer, OptiGrid Pty Ltd (October 2023 – Present)
- Developing APIs for data-driven energy optimization.
- Performing data analysis to enhance system efficiency.
** Recent Publications**
For a complete list of my publications, visit the Publications section.
- Deep Learning Approaches in EEG Analysis for Early Detection of Alzheimer’s Disease and Mild Cognitive Impairment: A Mini Systematic Review
Authors: Tahoura Morovati*, Hamed Vaezi*, Sepehr Karimi*, et al.
Published in: International Conference on Applied Intelligence and Informatics (Accepted, 2024).
Feel free to reach out to me via email or explore my GitHub.