Towards Understanding and Measuring COGNITIVE ATROPHY in LLM Behaviour
Authors: Abeer Badawi, Moyosoreoluwa Olatosi, Negin Baghbanzadeh, Laleh Seyyed-Kalantari, Frank Rudzicz, R. Shayna Rosenbaum, Sara Pishdadian, Elham Dolatabadi.
Research Publications
Position: Beyond Assistance—Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care | ICML 2025
𝐀𝐮𝐭𝐡𝐨𝐫𝐬: 𝐀𝐛𝐞𝐞𝐫 𝐁𝐚𝐝𝐚𝐰𝐢, 𝐌𝐝 𝐓𝐚𝐡𝐦𝐢𝐝 𝐑𝐚𝐡𝐦𝐚𝐧 𝐋𝐚𝐬𝐤𝐚𝐫, 𝐉𝐢𝐦𝐦𝐲 𝐗𝐢𝐚𝐧𝐠𝐣𝐢 𝐇𝐮𝐚𝐧𝐠, 𝐒𝐡𝐚𝐢𝐧𝐚 𝐑𝐚𝐳𝐚, 𝐄𝐥𝐡𝐚𝐦 𝐃𝐨𝐥𝐚𝐭𝐚𝐛𝐚𝐝𝐢.
When Can We Trust LLMs in Mental Health? Large-scale Benchmarks for Reliable LLM Evaluation | EACL 2025
𝐀𝐮𝐭𝐡𝐨𝐫𝐬: 𝐀𝐛𝐞𝐞𝐫 𝐁𝐚𝐝𝐚𝐰𝐢, 𝐄𝐥𝐚𝐡𝐞 𝐑𝐚𝐡𝐢𝐦𝐢, 𝐌𝐝 𝐓𝐚𝐡𝐦𝐢𝐝 𝐑𝐚𝐡𝐦𝐚𝐧 𝐋𝐚𝐬𝐤𝐚𝐫, 𝐒𝐡𝐞𝐫𝐢 𝐆𝐫𝐚𝐜𝐡, 𝐋𝐢𝐧𝐝𝐬𝐚𝐲 𝐁𝐞𝐫𝐭𝐫𝐚𝐧𝐝, 𝐋𝐚𝐦𝐞𝐬 𝐃𝐚𝐧𝐨𝐤, 𝐉𝐢𝐦𝐦𝐲 𝐇𝐮𝐚𝐧𝐠, 𝐅𝐫𝐚𝐧𝐤 𝐑𝐮𝐝𝐳𝐢𝐜𝐳, 𝐄𝐥𝐡𝐚𝐦 𝐃𝐨𝐥𝐚𝐭𝐚𝐛𝐚𝐝𝐢.
Multimodal Detection of Agitation in People With Dementia in Clinical Settings: Observational Pilot Study | JMIR Aging 2025
𝐀𝐮𝐭𝐡𝐨𝐫𝐬: 𝐀𝐛𝐞𝐞𝐫 𝐁𝐚𝐝𝐚𝐰𝐢, 𝐒𝐨𝐦𝐚𝐲𝐲𝐚 𝐄𝐥𝐦𝐨𝐠𝐡𝐚𝐳𝐲, 𝐒𝐚𝐦𝐢𝐫𝐚 𝐂𝐡𝐨𝐮𝐝𝐡𝐮𝐫𝐲, 𝐒𝐚𝐫𝐚 𝐄𝐥𝐠𝐚𝐳𝐳𝐚𝐫, 𝐊𝐡𝐚𝐥𝐢𝐝 𝐄𝐥𝐠𝐚𝐳𝐳𝐚𝐫, 𝐀𝐦𝐞𝐫 𝐌 𝐁𝐮𝐫𝐡𝐚𝐧.
A Scoping Review of Algorithmic Equity, Data Diversity, and Inclusive Design in the Transformer Era of Clinical NLP | Journal of Biomedical Informatics 2026
𝐀𝐮𝐭𝐡𝐨𝐫𝐬: 𝐒𝐡𝐞𝐫𝐢 𝐆𝐫𝐚𝐜𝐡*, 𝐀𝐛𝐞𝐞𝐫 𝐁𝐚𝐝𝐚𝐰𝐢*, 𝐅𝐚𝐫𝐚𝐡 𝐀𝐡𝐦𝐚𝐝, 𝐄𝐥𝐡𝐚𝐦 𝐃𝐨𝐥𝐚𝐭𝐚𝐛𝐚𝐝𝐢.
MARD: Mirror-Augmented Reasoning Distillation for Mechanism-Level Drug-Drug Interaction Prediction
Authors: Mohammadreza Riyazat, Vian Lelo, Rameen Jafri, Yumna Khan, Abeer Badawi.
Other Research Publications
(2021).
Detecting coronavirus from chest X-rays using transfer learning.
COVID.
(2026).
Training Therapeutic Judges and Multi-Agent Systems for Human-Aligned Mental Health Support.
Findings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP 2026).
(2026).
OpenMedReason: Scientific Reasoning Supervision for Medical Vision-Language Models.
arXiv preprint arXiv:2606.12169; submitted to NeurIPS 2026.
(2026).
Keyphrase Generative Representation of Youth Crisis Conversations Beyond Static Taxonomies.
arXiv preprint arXiv:2605.27546.
(2025).
Combining Video-Based Skeletal and Wearable Physiological Data for Early Detection of Agitation in Dementia Using Deep Learning.
Alzheimer’s Association International Conference.
(2025).
Not Lost After All: How Cross-Encoder Attribution Challenges Position Bias Assumptions in LLM Summarization | EMNLP 2025.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing.
(2024).
A Real-Time System for Monitoring and Managing Neuropsychiatric Symptoms in Dementia Patients.
2024 6th International Conference on Communications, Signal Processing, and their Applications (ICCSPA).
(2024).
Leveraging self-training and variational autoencoder for agitation detection in people with dementia using wearable sensors.
arXiv preprint arXiv:2412.19254.
(2024).
Profile of NPS in Neurocognitive Disorders: Sex Differences, and Identifying Targets for Digital Biometrics.
Alzheimer’s Association International Conference.
(2023).
Artificial intelligence and features investigating to detect neuropsychiatric symptoms in patients with dementia: A pilot study.
2023 IEEE Symposium Series on Computational Intelligence (SSCI).
(2023).
P171: Identifying pre-agitation biometric signature in dementia patients: A feasibility study.
International Psychogeriatrics.
(2023).
S13: Technology enabled care for neuropsychiatric symptoms of dementia: implementation at the point of care.
International Psychogeriatrics.
(2022).
12-lead ECG platform for real-time monitoring and early anomaly detection.
2022 International Wireless Communications and Mobile Computing (IWCMC).
(2022).
Energy saving on constrained 12-leads real-time ECG monitoring.
GLOBECOM 2022-2022 IEEE Global Communications Conference.
(2022).
Xbeats: A real-time electrocardiogram monitoring and analysis system.
Signals.
(2021).
3D-RadViz: Three Dimensional Radial Visualization for Large-Scale Data Visualization.
2021 IEEE Congress on Evolutionary Computation (CEC).
(2021).
ECG real-time monitoring and heart anomaly detection reimagined.
2021 IEEE 7th World Forum on Internet of Things (WF-IoT).
(2020).
Sensor Type, Axis, and Position-Based Fusion and Feature Selection for Multimodal Human Daily Activity Recognition in Wearable Body Sensor Networks.
Journal of Healthcare Engineering.
(2019).
Daily activity recognition using wearable sensors via machine learning and feature selection.
2018 13th International Conference on Computer Engineering and Systems (ICCES).
(2019).
Education development employing latest free space optical research papers for undergraduate communication engineering students in class and examination.
Education and Training in Optics and Photonics.
(2019).
Multimodal human activity recognition from wearable inertial sensors using machine learning.
2018 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES).