Select Publications
Book Chapters
, 2024, 'C3-PO: A Convolutional Neural Network for COVID Onset Prediction from Cough Sounds', in MultiMedia Modeling, Springer Nature, pp. 355 - 368, http://dx.doi.org/10.1007/978-3-031-53311-2_26
, 2024, 'How Do Native and Non-native Listeners Differ? Investigation with Dominant Frequency Bands in Auditory Evoked Potential', in Neural Information Processing, Springer Nature, pp. 350 - 361, http://dx.doi.org/10.1007/978-981-99-8138-0_28
, 2022, 'Machine Learning to Predict Rapeseed Traits from RNA-seq Data', in Workshops at 18th International Conference on Intelligent Environments (IE2022), IOS Press, http://dx.doi.org/10.3233/aise220031
, 2020, 'User Engagement with Driving Simulators: An Analysis of Physiological Signals', in HCI International 2020 – Late Breaking Papers: Digital Human Modeling and Ergonomics, Mobility and Intelligent Environments, Springer Nature, pp. 130 - 149, http://dx.doi.org/10.1007/978-3-030-59987-4_10
Journal articles
, 2026, 'Labels Generated by Large Language Models Help Measure Peoples Empathy in Vitro', IEEE Journal of Selected Topics in Signal Processing, 20, pp. 213 - 226, http://dx.doi.org/10.1109/jstsp.2026.3671186
, 2026, 'Ligand-based prediction of anti-bacterial compounds: Overcoming class imbalance in molecular data', Computational Biology and Chemistry, 120, pp. 108778, http://dx.doi.org/10.1016/j.compbiolchem.2025.108778
, 2025, 'Investigating the Impact of Antibiotics on Environmental Microbiota Through Machine Learning Models', IET Systems Biology, 19, pp. e70009, http://dx.doi.org/10.1049/syb2.70009
, 2025, 'Machine learning to predict gut microbiomes of agricultural pests', Neural Computing and Applications, 37, pp. 8435 - 8449, http://dx.doi.org/10.1007/s00521-025-10999-9
, 2024, 'Applications and Challenges of DNA-Based Electrochemical Biosensors for Monitoring Health: A Systematic Review', DNA, 4, pp. 300 - 317, http://dx.doi.org/10.3390/dna4030020
, 2024, 'An open set model for pest identification', Computational Biology and Chemistry, 108, pp. 108002, http://dx.doi.org/10.1016/j.compbiolchem.2023.108002
, 2024, 'MADE-for-ASD: A multi-atlas deep ensemble network for diagnosing Autism Spectrum Disorder', Computers in Biology and Medicine, 182, pp. 109083, http://dx.doi.org/10.1016/j.compbiomed.2024.109083
, 2023, 'Machine learning for detecting DNA attachment on SPR biosensor', Scientific Reports, 13, pp. 3742, http://dx.doi.org/10.1038/s41598-023-29395-1
, 2023, 'Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis', BMC Bioinformatics, 24, pp. 7, http://dx.doi.org/10.1186/s12859-022-05127-6
, 2022, 'The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review', BMC Medical Informatics and Decision Making, 22, http://dx.doi.org/10.1186/s12911-022-01985-5
, 2022, 'A ResNet attention model for classifying mosquitoes from wing-beating sounds', Scientific Reports, 12, pp. 10334, http://dx.doi.org/10.1038/s41598-022-14372-x
, 2014, 'Effects of Caffeinated Beverage Consumption on Electrocardiographic Parameters among Healthy Adults', Modern Applied Science, 8, http://dx.doi.org/10.5539/mas.v8n2p69
, 2014, 'Extraction of Inherent Frequency Components of Multiway EEG Data Using Two-Stage Neural Canonical Correlation Analysis', Modern Applied Science, 8, http://dx.doi.org/10.5539/mas.v8n1p164
Conference Papers
, 2026, 'TIME 2026: 2nd International Workshop on Transformative Insights in Multi-faceted Evaluation', Association for Computing Machinery (ACM), pp. 1199 - 1202, presented at Companion Proceedings of the ACM Web Conference 2026, http://dx.doi.org/10.1145/3774905.3794670
, 2025, 'Painthenticate: Feature Engineering on Multimodal Physiological Signals', Association for Computing Machinery (ACM), pp. 177 - 184, presented at Companion Proceedings of the 27th International Conference on Multimodal Interaction, http://dx.doi.org/10.1145/3747327.3764894
, 2025, 'When Robots Listen: Predicting Empathy Valence from Multimodal Storytelling Data', Association for Computing Machinery (ACM), pp. 415 - 423, presented at Proceedings of the 27th International Conference on Multimodal Interaction, http://dx.doi.org/10.1145/3716553.3750778
, 2025, 'TIME 2025: 1st International Workshop on Transformative Insights in Multi-faceted Evaluation', in Www Companion 2025 Companion Proceedings of the ACM Web Conference 2025, pp. 1848 - 1851, http://dx.doi.org/10.1145/3701716.3717748
, 2025, 'Unsupervised Search for Ethnic Minorities' Medical Segmentation Training Set', in 2025 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), IEEE, INDIA, Hyderabad, presented at 2025 International Conference on Acoustics Speech and Signal Processing-ICASSP-Annual, INDIA, Hyderabad, 06 April 2025 - 11 April 2025
, 2025, 'Flowering Time Prediction of Wheat From DIA-MS Data', Institute of Electrical and Electronics Engineers (IEEE), pp. 4810 - 4820, presented at 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), http://dx.doi.org/10.1109/wacv61041.2025.00471
, 2025, 'Aggregated Fuzzy Signature Structures for Multi-class Medical Diagnosis', in Communications in Computer and Information Science, Springer Nature, pp. 16 - 30, http://dx.doi.org/10.1007/978-981-96-6960-8_2
, 2025, 'Generating Realistic Images: Leveraging Frozen Large Diffusion Models', in Communications in Computer and Information Science, Springer Nature, pp. 305 - 318, http://dx.doi.org/10.1007/978-981-96-6975-2_21
, 2025, 'Graph-Augmented Sparse Attention for Medical Image Segmentation', in Lecture Notes in Computer Science, Springer Nature, pp. 355 - 368, http://dx.doi.org/10.1007/978-981-96-6585-3_25
, 2024, 'A Deep Learning Approach to Diabetes Diagnosis', in Communications in Computer and Information Science, Springer Nature, pp. 87 - 99, http://dx.doi.org/10.1007/978-981-97-5937-8_8
, 2024, 'Attention-Based Multi-layer Perceptron to Categorize Affective Videos from Viewer’s Physiological Signals', in Communications in Computer and Information Science, Springer Nature, pp. 25 - 34, http://dx.doi.org/10.1007/978-981-97-5934-7_3
, 2024, 'Spatial Transcriptomics Analysis of Zero-Shot Gene Expression Prediction', in Lecture Notes in Computer Science, Springer Nature, pp. 492 - 502, http://dx.doi.org/10.1007/978-3-031-72083-3_46
, 2023, 'Interpretable Machine Learning for Identifying Importance of Diabetes Parameters', Institute of Electrical and Electronics Engineers (IEEE), pp. 1 - 6, presented at 2023 6th International Conference on Electrical Information and Communication Technology (EICT), http://dx.doi.org/10.1109/eict61409.2023.10427949
, 2023, 'Curtin OCAI at WASSA 2023 Empathy, Emotion and Personality Shared Task: Demographic-Aware Prediction Using Multiple Transformers', Association for Computational Linguistics (ACL), pp. 536 - 541, presented at Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, http://dx.doi.org/10.18653/v1/2023.wassa-1.47
, 2022, 'An Evolutionary-based Neural Network for Distinguishing between Genuine and Posed Anger from Observers’ Pupillary Responses', INSTICC, pp. 653 - 661, presented at Proceedings of the 14th International Conference on Agents and Artificial Intelligence, http://dx.doi.org/10.5220/0010985100003116
, 2022, 'Machine Learning to Diagnose Neurodegenerative Multiple Sclerosis Disease', in Communications in Computer and Information Science, Springer Nature, pp. 251 - 262, http://dx.doi.org/10.1007/978-981-19-8234-7_20
, 2021, 'A Significance Assessment of Diabetes Diagnostic Biomarkers Using Machine Learning', in Studies in Health Technology and Informatics, pp. 36 - 38, http://dx.doi.org/10.3233/SHTI210657
, 2021, 'Systematics of Tephritid Fruit Flies: A Machine Learning Based Pest Identification System', MDPI, pp. 10400, presented at Proceedings of The 1st International Electronic Conference on Entomology, http://dx.doi.org/10.3390/iece-10400
, 2021, 'RealSmileNet: A Deep End-to-End Network for Spontaneous and Posed Smile Recognition', in Lecture Notes in Computer Science, pp. 21 - 37, http://dx.doi.org/10.1007/978-3-030-69541-5_2
, 2021, 'DeepVANet: A Deep End-to-End Network for Multi-modal Emotion Recognition', in Lecture Notes in Computer Science, Springer Nature, pp. 227 - 237, http://dx.doi.org/10.1007/978-3-030-85613-7_16
, 2021, 'FSE: a Powerful Feature Augmentation Technique for Classification Task', in Lecture Notes in Computer Science, Springer Nature, pp. 645 - 653, http://dx.doi.org/10.1007/978-3-030-92270-2_55
, 2021, 'Robotic Emotion Monitoring for Mental Health Applications: Preliminary Outcomes of a Survey', in Lecture Notes in Computer Science, Springer Nature, pp. 481 - 485, http://dx.doi.org/10.1007/978-3-030-85607-6_62
, 2020, 'Identifying Real and Posed Smiles from Observers’ Galvanic Skin Response and Blood Volume Pulse', in Lecture Notes in Computer Science, Springer Nature, pp. 375 - 386, http://dx.doi.org/10.1007/978-3-030-63830-6_32
, 2018, 'Detecting the doubt effect and subjective beliefs using neural networks and observers’ pupillary responses', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 610 - 621, http://dx.doi.org/10.1007/978-3-030-04212-7_54
, 2018, 'An Independent Approach to Training Classifiers on Physiological Data: An Example Using Smiles', in Lecture Notes in Computer Science, Springer Nature, pp. 603 - 613, http://dx.doi.org/10.1007/978-3-030-04179-3_53
, 2018, 'Artificial Neural Networks Can Distinguish Genuine and Acted Anger by Synthesizing Pupillary Dilation Signals from Different Participants', in Lecture Notes in Computer Science, Springer Nature, pp. 299 - 310, http://dx.doi.org/10.1007/978-3-030-04221-9_27
, 2017, 'Effect of Parameter Tuning at Distinguishing Between Real and Posed Smiles from Observers’ Physiological Features', in Lecture Notes in Computer Science, Springer Nature, pp. 839 - 850, http://dx.doi.org/10.1007/978-3-319-70093-9_89
Preprints
, 2026, FunnelNet: An End-to-End Deep Learning Framework to Monitor Digital Heart Murmur in Real-Time, http://dx.doi.org/10.48550/arxiv.2405.09570
, 2026, Privacy-Preserving Empathy Detection in Video Interactions, http://dx.doi.org/10.48550/arxiv.2504.10808
, 2025, UPLME: Uncertainty-Aware Probabilistic Language Modelling for Robust Empathy Regression, http://dx.doi.org/10.48550/arxiv.2508.03520
, 2025, Are You Really Empathic? Evidence from Trait, State and Speaker-Perceived Empathy, and Physiological Signals, http://dx.doi.org/10.48550/arxiv.2509.16923
, 2025, FreqSelect: Frequency-Aware fMRI-to-Image Reconstruction, http://dx.doi.org/10.48550/arxiv.2505.12552
, 2025, Empathy Detection from Text, Audiovisual, Audio or Physiological Signals: A Systematic Review of Task Formulations and Machine Learning Methods, http://dx.doi.org/10.48550/arxiv.2311.00721