Publications
Conference Papers
2025
Ahatsham Hayat , Bilal Khan, Mohammad Rashedul Hasan, ConText-LE: Cross-Distribution Generalization for Longitudinal Experiential Data via Narrative-Based LLM Representations , Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) Findings [Acceptance rate: 17%] Ahatsham Hayat , Helen Martinez, Bilal Khan, Mohammad Rashedul Hasan, A Three-Tier LLM Framework for Forecasting Student Engagement from Qualitative Longitudinal Data , The 29th Conference on Computational Natural Language Learning (CoNLL 2025) [Acceptance rate: 19%] Ahatsham Hayat , Helen Martinez, Bilal Khan, Mohammad Rashedul Hasan, Harnessing Language Models to Predict and Enhance STEM Engagement Using Non-Cognitive Experiential Data , The 2025 ASEE Annual Conference Ahatsham Hayat , Mohammad Rashedul Hasan, A Context-Aware Approach for Enhancing Data Imputation with Pre-trained Language Models , The 31st International Conference on Computational Linguistics (COLING 2025)
2024
Ahatsham Hayat , Bilal Khan, Mohammad Rashedul Hasan, Leveraging Language Models for Analyzing Experiential Time-Series Data in Education , The 2024 International Conference on Machine Learning and Applications (ICMLA) [Acceptance rate: 24.3%] Ahatsham Hayat , Bilal Khan, Mohammad Hasan, Enhancing Transfer Learning for Early Forecasting of Academic Performance by Contextualizing Language Models , The 19th NAACL Workshop on Innovative Use of NLP for Building Educational Applications Ahatsham Hayat , Sharif Wayne Akil, Helen Martinez, Bilal Khan, Mohammad Rashedul Hasan未必, Hasan, Enhancing Zero-Shot Learning of Large Language Models for Early Forecasting of STEM Performance , The 2024 ASEE Annual Conference
2023
Ahatsham Hayat , Mohammad Rashedul Hasan, The Power of Personalization and Contextualization: Early Student Performance Forecasting with Language Models , The 2023 NeurIPS Workshop on Generative AI for Education (GAIED) HK Sharma, HF Mahdi, T Choudhury, Ahatsham Hayat , Automated System Configuration Using DevOps Approach , Proceedings of Fourth International Conference on Computer and Communication Technologies, Lecture Notes in Networks and Systems, vol 606, Springer, Singapore
Journal Articles
2025
P Baglat, Ahatsham Hayat , SS Mostafa, F Mendonça, F Morgado-Dias, Comparative analysis and evaluation of YOLO generations for banana bunch detection , Smart Agricultural Technology, Volume 12, 2025, 101100, ISSN 2772-3755
2024
Ahatsham Hayat , F Morgado-Dias, T Choudhury, TP Singh, K Kotecha, FruitVision: A deep learning based automatic fruit grading system , Open Agriculture, vol. 9, no. 1, 2024, pp. 20220276 Ahatsham Hayat , P Baglat, F Mendonça, SS Mostafa, F Morgado-Dias, Machine learning system for commercial banana harvesting , Eng. Res. Express 6 035202
2023
P Baglat, Ahatsham Hayat , F Mendonca, A Gupta, SS Mostafa, F Morgado-Dias, Non-Destructive Banana Ripeness Detection Using Shallow and Deep Learning: A Systematic Review , Sensors, 2023; 23(2):738
IV Manoj, SY Narendranath, PM Mashinini, H Soni, S Rab, S Ahmad, Ahatsham Hayat , et al., Artificial neural network-based prediction assessment of wire electric discharge machining parameters for smart manufacturing , Paladyn, Journal of Behavioral Robotics, Vol. 14 (Issue 1), pp. 20220118
Ahatsham Hayat , Breast Cancer Detection System from Thermal Images using SWIN Transformer , Journal Press India, June 15, 2023
2022
Ahatsham Hayat , F Morgado-Dias, Deep Learning-Based Automatic Safety Helmet Detection System for Construction Safety , Applied Sciences 12, no. 16: 8268 Ahatsham Hayat , F Morgado-Dias, BP Bhuyan, R Tomar, Human Activity Recognition for Elderly People Using Machine and Deep Learning Approaches , Information 13, no. 6: 275
2020
Ahatsham Hayat , S Jain, V Shahare, N Arora, S Rab, Real Time Human Activity Recognition Using Smart Phone , Advanced Science, Engineering and Medicine, Volume 12, Number 9, September 2020, pp. 1200-1203(4), American Scientific Publishers
2019
2018