Tasneem Selim

I am an Assistant Lecturer in Computer Science at Alexandria University, Egypt, with an MSc in Computer Science specializing in Computer Vision and Deep Learning. I am also a research member of Basira Lab at Imperial College London (I-X), working under the supervision of Dr. Islem Rekik.

My research focuses on Computer Vision, LLMs, Multi-agent AI, and AI in Education.

Actively seeking PhD opportunities in LLMs, multi-agent systems, computer vision, and AI in education.

Publications

Featured Publications

GNN-CB: A Graph Neural Network Competition Benchmark for Human and LLM Evaluation

Murad Hossen*, Tasneem Selim*, et al. (*co-first authors)

EMNLP 2026 (Main Conference)

Accepted

Students Engagement Level Detection in Online E-Learning Using Hybrid EfficientNetB7 Together with TCN, LSTM, and Bi-LSTM

Tasneem Selim, Islam Elkabani, Mohamed A. Abdou

IEEE Access, vol. 10, pp. 99573–99583, 2022

Published100+ Citations

All Publications

Research Experience

Alexandria University, Egypt · 2019 – Present

Multi-Agent LLMs in Education

2026 – Present

Proposing a multi-agent LLM framework for student-engagement classification, with specialized agents.

LLM Code-Generation Competition

2025 – Present

Developing an LLM code-generation competition benchmarking engagement classification

Lightweight Hybrid MobileNet-V2 with LSTM & Bi-LSTM for Student Engagement Detection

Jul - Sep 2025

Proposed a lightweight hybrid MobileNet-V2 with LSTM & Bi-LSTM for student engagement detection.

Published at the 26th International Arab Conference on Information Technology (ACIT), IEEE, 2025. Extended journal version under review at IAJIT (Special Issue).

From Prompt to Visuals: A Survey on Text-Based Visual Generation

2024 – 2025

Analyzed 100+ works on prompt-to-visual generation using GANs, diffusion models, and multi-agent systems. Under review at Cognitive Computation.

MSc Research Thesis

2020 – 2022

Developed hybrid EfficientNet-B7 + TCN/LSTM/BiLSTM models, improving DAiSEE SOTA by 3.89%.

Introduced the VRESEE dataset and achieved 94.47% accuracy.

Published in IEEE Access (100+ citations).

Basira Lab, Imperial College London (I-X), UK · 2025 – Present

Ethical AI Alliance · PI: Prof. Islem Rekik

Jul 2026 – Present

Contributing to the Global AI Harm Map, a large-scale initiative using dynamic knowledge graphs and LLM debate to characterize AI-related risks.

GNN-CB · PI: Prof. Islem Rekik

Mar 2026 – Aug 2026

Co-developed the first living, competition-based benchmark with dynamic leaderboards for evaluating humans and LLMs on GNN coding tasks — accepted at EMNLP (main conference).

GNNs for Rising Stars (G4RS) Mentee · Supervised by Prof. Islem Rekik

Nov 2025 – Feb 2026

Completed the selective G4RS mentorship program..

Fatima Institution, USA · May 2026 – Dec 2026

Research Fellow · Mentor: Dr. Safi Khan

Research on ASR and audio LLMs for Quranic Qira'at evaluation and enhancement.

University of Galway, Ireland · Jun 2026 – Sep 2026

Research Intern · PI: Prof. Saeed Alsamhi

Developing a multi-agent AI system for Parkinson's disease prediction and diagnosis.

University of Exeter, UK · Jun 2025 – Sep 2025

Research Assistant · PI: Prof. Mohammed Abdelsamea & Dr. Ahmed Karam Eldaly

Analyzed literature across causal inference, domain adaptation, and medical imaging.

Contributed to the conceptual framework for causal intelligence in healthcare (arXiv-Under Review).

Education

MSc in Computer Science

Alexandria University, Egypt · 2019 – 2022

GPA: 3.66/4.0 (Excellent)

Thesis: Automatic Student Engagement Detection in Online Learning

BSc in Computer Science

Alexandria University, Egypt · 2015 – 2019

GPA: 3.68/4.0 (Excellent with Honor – Ranked 1st in Class)

Graduation Project: Barter app using graph-based cycle detection for indirect exchange

Teaching

Alexandria University, Egypt

Assistant Lecturer, Computer Science Department

2021 – Present

Computer Vision Course

Designed a benchmark of 10 image classification competitions with a dynamic leaderboard

Supervised 300+ students in their final projects

Taught the course 8 times, covered CNNs, RNNs, and Siamese networks.

Machine Learning Course

Supervised 200+ students in their final projects.

Designed a FER-2013 ML competition for 18 teams with hidden test labels and a fully automated evaluation

Taught the course 4 times, covering data preprocessing and machine learning models.

Introduction to Artificial Intelligence Course

Taught 3 times, covering AI search, logic, and game-playing techniques.

Introduced the first coding curriculum for the course and designed its programming labs.

Supervised 100+ students through final AI projects, from problem formulation to evaluation.

Other Courses

Delivered labs in HCI, Software Testing, Software Engineering, Requirement Analysis, Data Structures, Databases, Mobile Development, OOP, and Programming I.

Skills & Awards

Languages & Frameworks

Python Java C++ TensorFlow Keras scikit-learn OpenCV PyTorch

Research Areas

Computer Vision Multi-agent AI LLM AI in Education

Awards

Award Fatima Fellowship – Selected out of more than 700 applicants.
Award ACIT – Best Paper Award.
Award G4RS Mentorship, Imperial College London – Selected 1 out of 300+ applicants and certified.
Award Undergraduate Ranking – Ranked 1st in undergraduate class.
Award NASA Space Apps Challenge – Ranked 4th on panel and 7th on hackathon
Award Egypt IoT Challenge – 1st place in ideation pitching camp for an IoT-based solution.