• Shankar, A., Saikia, M. J.*, Dandapat, S. & Barma, S. (2024). Focal Cortical Dysplasia (Type II) Detection with Multi-modal MRI and a Deep-Learning Framework. npj Imaging 2, 31 (2024). https://doi.org/10.1038/s44303-024-00031-5

• Saikia, M. J.* (2023). Smart Fabric and e-Textile Sensor Technology for Wearables to Measure High Pressure. IEEE Transactions on Instrumentation and Measurement, 72, 1-9. https://doi.org/10.1109/tim.2023.3312487 [Solo-Authored]

• Saikia, M. J.* (2023). K-means Clustering Machine Learning Approach Reveals Groups of Homogeneous Individuals with Unique Brain Activation, Task, and Performance Dynamics using fNIRS. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 2535-2544.  https://doi.org/10.1109/TNSRE.2023.3278268 [Solo-Authored]

• Saikia, M. J.* (2021). A spectroscopic diffuse optical tomography system for the continuous 3D functional imaging of tissue - a phantom study. IEEE Transactions on Instrumentation and Measurement, 70. https://doi.org/10.1109/TIM.2021.3082314 [Solo-Authored]

• Saikia, M. J.*, Besio, W. G., & Mankodiya, K. (2019). WearLight: Toward a Wearable, Configurable Functional NIR Spectroscopy System for Noninvasive Neuroimaging. IEEE Transactions on Biomedical Circuits and Systems, 13(1), 91–102. https://doi.org/10.1109/TBCAS.2018.2876089 

Journal Papers

2025

1. Saikia, M. J.* & Borthakur, D., Artificial Intelligence (AI) in Patient–Healthcare Relationships: Psychosocial Perspective.IEEE Access, vol. 13, pp. 164682-164701, 2025, https://doi.org/10.1109/ACCESS.2025.3611818  [IF 3.6]

2. Bulusu, G., Vidyasagar, K.E.Ch, Mudigonda, M. & Saikia, M. J.* (2025). Cancer Detection Using Artificial Intelligence: A Paradigm in Early Diagnosis. Arch Computat Methods Eng (2025). https://doi.org/10.1007/s11831-024-10209-0 [IF 9.9]

3. B. Daurai, M. Gogoi, & Saikia, M. J.* (2025). A Point-of-Care Optical Biosensor for α-amylase Estimation using CdS/ZnS Quantum Dots. IEEE Transactions on NanoBioscience, https://doi.org/10.1109/TNB.2025.3604755 [IF 4.4]

4. B. B. Purkayastha, S. Barma, & Saikia, M. J.* (2025). A Resource-Efficient Cardiac Arrhythmia Detection Using Nonlinear Dynamics in Optimized Delay State Networks. IEEE Transactions on Biomedical Engineering. https://doi.org/10.1109/TBME.2025.3605297 [IF 4.5]

5. Barua, B., Chyrmang, G., Bora, K., Ahmed, G.N., Kakoti, L. & Saikia, M. J.* (2025). OralTILs-ViT: Joint Learning Framework for Classifying Tumor-Infiltrating Lymphocytes in Oral Squamous Cell Carcinoma. Scientific Reports, 15, 2938 (2025). https://doi.org/10.1038/s41598-025-86527-5  [IF 4.6]

6. Leiva-Araos, A., Gana, B., Allende-Cid, H., Garc´ıa, J., & Saikia, M. J.* (2025). Large scale summarization using ensemble prompts and in context learning approache, Scientific Reports. 15, 10259 (2025). https://doi.org/10.1038/s41598-025-94551-8 [IF 4.6]

7. Mohanty, P.K., Francis, S.A.J., Barik, R.K., Reddy, H.K., Roy, D.S., & Saikia, M. J.* (2025). IMPACT: An Interactive Multi-disease Prevention and Counterfactual Treatment System Using Explainable AI and a Multimodal LLM. PeerJ Computer Science, 11:e2839 https://doi.org/10.7717/peerj-cs.2839 [IF 3.8]

8. Kannan, A., Saikia, M. J.*, Kumar, S., & Datta, S. (2025), Detection of Valvular Heart Diseases From PCG Signals Using Machine and Deep Learning Models: A Review. IEEE Access, vol. 13, pp. 110344-110364, 2025. https://doi.org/10.1109/ACCESS.2025.3583263 [IF 3.6]

9. Sharma, M., Dogra, A., Goyal, B., Gupta, A., & Saikia, M. J.* (2025). Detail-preserving denoising of CT and MRI images via adaptive clustering and non-local means algorithm. Scientific Reports, 15, 23859 (2025). https://doi.org/10.1038/s41598-025-08034-x  [IF 4.6]

10. Barman, C., Singh, S., Saikia, M. J.*, & Barma, S. (2025). Attention-Based Dual Knowledge Distillation for Alzheimer’s Disease Stage detection Using MRI Scans. IEEE Open Journal of Instrumentation and Measurement. https://doi.org/10.1109/OJIM.2025.3589698  [IF 1.5]

11. Panja, S., Mondal, S., Nag, A., Singh, J., Saikia, M. J.*, & Barman, A.K. (2025). An Efficient Malware Detection Approach Based on Machine Learning Feature Influence Techniques for Resource-Constrained Devices. IEEE Access, 13, 12647–12665. https://doi.org/10.1109/ACCESS.2025.3526878. [IF 3.6]

12. Sharma A, Saxena A., Agrawal M., Kishor K., ..., & Saikia, M. J.* (2025). iSeizdiag: toward the framework development of epileptic seizure detection for healthcare. Front. Comput. Neurosci. 19:1545425. doi: https://doi.org/10.3389/fncom.2025.1545425 [IF 2.3]

13. Priyadarshini, R., Pandey, R., Ankit K C, Bhandari, D., Khadka, B., Barik, R.K., & Saikia, M. J.* (2025). A Faster, Integrated and Trusted Certificate Authentication and Issuer Validation System based on Blockchain. IEEE Access, vol. 13, pp. 27037-27049. https://doi.org/10.1109/ACCESS.2025.3539180 [IF 3.6]

14. Chettri, S. K., Deka, R. K., & Saikia, M. J.* (2025). Bridging the Gap in Adoption of Trustworthy AI in Indian Healthcare: Challenges and Opportunities.  AI, 6(1), 10.  https://doi.org/10.3390/ai6010010 [IF 5]

15. Maity, S. & Saikia, M. J.* (2025). Large Language Models in Healthcare and Medical Applications: A Review. Bioengineering 2025, 12(6), 631. https://doi.org/10.3390/bioengineering12060631  [IF 3.8]

16. Deka, A., Misra, D. D., Das, A., & Saikia, M. J.* (2025). Breast Cancer Classification via a High-Precision Hybrid IGWO–SOA Optimized Deep Learning Framework. AI, 6(8), 167. https://doi.org/10.3390/ai6080167 [IF 5]

17. Pingua, B., Sahoo, A., Kandpal, M.,..., & Saikia, M. J.* (2025). Medical LLMs: Fine-Tuning vs. Retrieval-Augmented Generation. Bioengineering, 12(7), 687. https://doi.org/10.3390/bioengineering12070687 [IF 3.8]

18. Hazarika, U., Borah, B. B., Roy, S., & Saikia, M. J.* (2025). Automated Detection of Aberrant Episodes in Epileptic Conditions: Leveraging EEG and ML Algorithms. Bioengineering 2025, 12, 355. https://doi.org/10.3390/bioengineering12040355 [IF 3.8]

19. Apat, H. K., Goswami, V., Sahoo, B., Barik, R.K., & Saikia, M. J.* (2025). Fog Service Placement Optimization: A Survey of State-of-the-Art Strategies and Techniques. Computers 2025, 14(3), 99. https://doi.org/10.3390/computers14030099 [IF 2.6]

20. Jadhav, D., Chettri, S. K., Tripathy, A. K., & Saikia, M. J.* (2025). A Technology-Driven Assistive Learning Tool and Framework for Personalized Dyscalculia Interventions. European Journal of Investigation in Health, Psychology and Education, 15(5), 85. https://doi.org/10.3390/ejihpe15050085 [IF 3.0]

21. Baruah, S., Deka, V., Das, D., Barman, U., & Saikia, M. J.* (2025). Enhanced Peer-to-Peer Botnet Detection Using Differential Evolution for Optimized Feature Selection. Future Internet, 17(6), 247. https://doi.org/10.3390/fi17060247 [IF 2.8]

22. Khansama, R. R., Priyadarshini, R., Nanda, S. K., Barik, R. K., & Saikia, M. J.* (2025). SGR-Net: A Synergistic Attention Network for Robust Stock Market Forecasting. Forecasting, 7(3), 50. https://doi.org/10.3390/forecast7030050 [IF 3.2]

23. Daimary, N., Sarmah, D., Bhattacharjee, A., Barman, U.,  & Saikia, M. J.* (2025). Geotechnical Performance of Lateritic Soil Subgrades Stabilized with Agro-Industrial Waste: An Experimental Assessment and ANN-Based Predictive Modelling. Geotechnics, 5(3), 65. https://doi.org/10.3390/geotechnics5030065 [IF 1.9]

24. Rout, J., Mishra, M., & Saikia, M. J.* (2025). Towards Reliable Fake News Detection: Enhanced Attention-Based Transformer Model. Journal of Cybersecurity and Privacy, 5(3), 43. https://doi.org/10.3390/jcp5030043

2024

25. Shankar, A., Saikia, M. J.*, Dandapat, S. & Barma, S. (2024). Focal Cortical Dysplasia (Type II) Detection with Multi-modal MRI and a Deep-Learning Framework. npj Imaging 2, 31 (2024). https://doi.org/10.1038/s44303-024-00031-5

26. Saikia, M. J.*, Kuanar, S., Mahapatra, D., & Faghani, S. (2024). Multi-Modal Ensemble Deep Learning in Head and Neck Cancer HPV Sub-typing. Bioengineering 2024, 11(1), 13. https://doi.org/10.3390/bioengineering11010013 [IF 4.6]

27. Cantelon, J. A., Navarro, E., Brunyé, T. T., Eddy, M. D., Ward, N., Pantoja-Feliciano, I., Whitman, J., Saikia, M. J., & Giles, G. E. (2024). Emotional, physiological, biochemical, and behavioral responses to acute stress and uncertainty in military personnel. PLOS ONE, 19(11), e0312443. https://doi.org/10.1371/journal.pone.0312443 [IF 2.9]

28. Sharma, A.M., Vig, R., Dogra, A.,..., & Saikia, M. J.* (2024). Enhanced low-light image fusion through multi-stage processing with bayesian analysis and quadratic contrast function. Scientific Reports 2024 14:1, 14(1), 1–29. https://doi.org/10.1038/s41598-024-67502-y  [IF 4.6]

29. Goyal, B., Dogra, A., Goyal, V.,..., & Saikia, M. J. (2024) Detailed-based dictionary learning for low-light image enhancement using camera response model for Industrial Applications. Scientific Reports 2024 14:1, 14(1), 1–19. https://doi.org/10.1038/s41598-024-64421-w  [IF 4.6]

30. Barua, B., Chyrmang, G., Bora, K., & Saikia, M. J.* (2024). Optimizing Colorectal Cancer Segmentation with MobileViT-UNet and Multi-Criteria Decision Analysis. PeerJ Computer Science 10:e2633. https://doi.org/10.7717/peerj-cs.2633 [IF 3.8]

31. Vidyasagar, K., Kumar, K.R., Sai, G., Ruchita, M. & Saikia, M. J.* (2024). Signal to Image Conversion and Convolutional Neural Networks for Physiological Signal Processing: A Review. IEEE Access, 12, 66726–66764. https://doi.org/10.1109/ACCESS.2024.3399114   [IF 3.9]

32. Pingua, B., Murmu, D., Kandpal, M.,..., & Saikia, M. J.* (2024). Mitigating adversarial manipulation in LLMs: a prompt-based approach to counter Jailbreak attacks (Prompt-G), PeerJ Computer Science, 10, e2374 https://doi.org/10.7717/peerj-cs.2374  [IF 3.8]

33. Nahar, A., Paul, S., & Saikia, M. J.*. (2024). A systematic review on machine learning approaches in cerebral palsy research. PeerJ, 12, e18270. https://doi.org/10.7717/PEERJ.18270 [IF 2.7]

34. Goyal, B., Dogra, A., Sharma, K. P., ... & Saikia, M. J.* (2024). Multimodality medical image fusion based on pixel significance with edge-preserving processing for clinical applications. Computers, Materials & Continua, 0(0), 1–10. https://doi.org/10.32604/cmc.2024.047256  [IF 3.1]

35. Brar, K.K., Goyal, B., Dogra, A., ..., & Saikia, M. J.* (2024). Multi-Class Skin Cancer Detection Using Fusion of Textural Features Based CAD Tool. Computers, Materials & Continua, 0(0), 1–10. https://doi.org/10.32604/CMC.2024.052548 [IF 3.1]

36. Das, S., Mishra, M., Priyadarshini, R., Barik, R. K.,& Saikia, M. J.* (2024). A Secure, Privacy-preserving, and Cost-efficient Decentralized Cloud Storage Framework using Blockchain. Journal of King Saud University-Computer and Information Sciences. 102260. https://doi.org/10.1016/j.jksuci.2024.102260 [IF 5.2]

37. Johnson, Z., and Saikia, M. J.* (2024). Digital Twins for Healthcare using Wearables. Bioengineering 2024, 11(6), 606. https://doi.org/10.3390/bioengineering11060606  [IF 4.6]

38. Majhi, V., Paul, S., Saha, G., Kunwar, A. J., & Saikia, M. J.* (2024). Importance of Health History Analysis in Parkinson’s Disease. Heliyon, 10(15). https://doi.org/10.1016/j.heliyon.2024.e34858  [IF 4.0]

39. Singh, S.G., Das, D., Barman, U., & Saikia, M. J.* (2024). Early Alzheimer's Disease Detection: An Organized Review of Machine Learning Techniques for Forecasting Transition from Mild Cognitive Impairment. Diagnostics 2024, 14(16), 1759; https://doi.org/10.3390/diagnostics14161759 [IF 3.0]

40. Rajendra, J., Sukumari, N. W., Jose, S.H., Rajendran, M., & Saikia, M. J.* (2024). Development of Self-Powered Energy Harvesting Electronic Module and Signal Processing Framework for Wearable Healthcare Applications. Bioengineering 2024, 11(12), 1252. https://doi.org/10.3390/bioengineering11121252. [IF 3.8]

41. Hazarika, C.J., Borah, A., Gogoi, P., Ramchiary, S.S.,..., & Saikia, M. J.* (2024). Development of Non-invasive Biosensor for Neonatal Jaundice Detection: A Review, Biosensors 2024, 14(5), 254. https://doi.org/10.3390/bios14050254 [IF 5.4]

42. Mohanty, P.K., Francis, S.J., Barik, R.K., Roy, D.S., & Saikia, M. J.* (2024). Leveraging Shapley Additive Explanations for Feature Selection in Ensemble Models for Diabetes Prediction. Bioengineering 2024, 11(12), 1215; https://doi.org/10.3390/bioengineering11121215  [IF 3.8]

43. Saikia, M. J.*, & Alkhader, A.S. (2024). Smart Textile Impact Sensor for e-Helmet to Measure Head Injury. Sensors 2024, 24(9), 2919.  https://doi.org/10.3390/s24092919 [IF 3.9] 

44. Tendhar, T., Marcotte, M. A., Mesquita, P. & Saikia, M. J.* (2024). Online Video-Mediated Compassion Training Program for Mental Health and Well-being of University Students. Healthcare 2024, 12(10), 1033. https://doi.org/10.3390/healthcare12101033 [IF 2.8]

45. Deka, R.K.,Ghosh, A., Nanda, S., Barik, R.K., & Saikia, M. J.* (2024). Smart Healthcare System in Server-less Environment: Concept, Architecture, Challenges, Future Directions. Computers 2024, 13(4), 105.  https://doi.org/10.3390/computers13040105 [IF 2.8]

46. Das, A., Deka, A., Medhi, K., & Saikia, M. J.* (2024). Advanced Supply Chain Management Using Adaptive Serial Cascaded Autoencoder with LSTM and Multi-Layered Perceptron Framework. Logistics 2024, 8(4), 102. https://doi.org/10.3390/logistics8040102 [IF 3.6]

47. Joshi, R. C., Awasthi, N., Parida, P., & Saikia, M. J.* (2024). Editorial: Physiological signal processing for wellness. Frontiers in Signal Processing, 4. https://doi.org/10.3389/frsip.2024.1496320  [IF 1.3]

48. Deka, A., Das, P.J., & Saikia, M. J.* (2024). Deep Learning to Authenticate Traditional Handloom Textile. Information 2024, 15(8), 465. https://doi.org/10.3390/info15080465 [IF 2.4]

49. Barman, U., Sarma, P., Rahman, M., ... & Saikia, M. J.* (2024). ViT-SmartAgri: Vision Transformer and Smartphone-based Plant Disease Detection for Smart Agriculture. Agronomy 2024,14(2), 327. https://doi.org/10.3390/agronomy14020327 [IF 3.7]

50. Barman, U., & Saikia, M. J.* (2024). Smartphone Contact Imaging and 1-D CNN-based for Leaf Chlorophyll Estimation for Agriculture. Agriculture 2024, 14(8), 1262. https://doi.org/10.3390/agriculture14081262   [IF 3.3]

51. Kandpal, M., Goswami, V., Pritwani, Y, Barik, R.K., & Saikia, M. J.* (2024) BS-GeoEduNet 1.0: Blockchain Assisted Serverless Framework for Geospatial Educational Information Network. ISPRS Int. J. Geo-Inf. 2024, 13(8), 274. https://doi.org/10.3390/ijgi13080274  [IF 3.4]

52. Lahon, P., Kandali, A. B., Barman, U.,..., & Saikia, M. J.* (2024). Deep Neural Network-Based Smart Grid Stability Analysis: Enhancing Grid Resilience and Performance. Energies 2024, 17(11), 2642. https://doi.org/10.3390/en17112642  [IF 3.2]

2023

53. Saikia, M. J.* (2023). Smart Fabric and e-Textile Sensor Technology for Wearables to Measure High Pressure. IEEE Transactions on Instrumentation and Measurement, 72, 1-9. https://doi.org/10.1109/tim.2023.3312487 [IF 5.6] [Solo-Authored]

54. Saikia, M. J.* (2023). K-means Clustering Machine Learning Approach Reveals Groups of Homogeneous Individuals with Unique Brain Activation, Task, and Performance Dynamics using fNIRS. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 2535-2544.  https://doi.org/10.1109/TNSRE.2023.3278268 [IF 4.9] [Solo-Authored]

55. Vinti, M., Saikia, M. J.*, Donoghue, J., Mandigout, S., Compagnat, M., & Kerman, K. L. (2023). Broader estimates of gastrocnemius activity generated a more representative cocontraction index: a study in pediatric population. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31, 4382–4389. https://doi.org/10.1109/TNSRE.2023.3329057 [IF 4.9]

56. Das, T., Dutta, P. K., & Saikia, M. J.* (2023). Gaussian Distributed Semi-Analytic Reconstruction Method for Optical Measurement of Tissue Oxygenation. IEEE Sensors, 23(23), 29536–29544.  https://doi.org/10.1109/JSEN.2023.3326974 [IF 4.3] 

57. Shah, K. D., Patel, D. K., Thaker, M. P., Patel, H. A., Saikia, M. J., & Ranger, B. J.* (2023). EMED-UNet: An Efficient Multi-Encoder-Decoder Based UNet for Medical Image Segmentation, in IEEE Access, 11, 95253-95266, 2023. https://doi.org/10.1109/ACCESS.2023.3309158 [IF 3.47]

58. Flanagan, K. & Saikia, M. J.* (2023). Consumer-Grade Electroencephalogram and Functional Near-Infrared Spectroscopy Neurofeedback Technologies for Mental Health and Wellbeing. Sensors 2023, 23(20), 8482. https://doi.org/10.3390/s23208482 [IF 3.9] 

59. Leonov, D., Kulberg, N., Yakovleva T., Solovyova, P., ... & Saikia, M. J. (2023). Innovative aberration correction in ultrasound diagnostics with direct phase estimation for enhanced image quality. Physical and Engineering Sciences in Medicine, 46(4), 1765–1778. https://doi.org/10.1007/s13246-023-01338-0 [IF 4.4]

60. Leonov, D.*, Venidiktova, D., Costa-Júnior, J. F. S., ... & Saikia, M. J. (2023). Development of an anatomical breast phantom from polyvinyl chloride plastisol with lesions of various shape, elasticity and echogenicity for teaching ultrasound examination. International Journal of Computer Assisted Radiology and Surgery, 19(1), 151–161. https://doi.org/10.1007/s11548-023-02911-4 [IF 3.4]

61. Borthakur, D., Paul, A., Kapil, D., & Saikia, M. J.* (2023). Yoga Pose Estimation Using Angle-Based Feature Extraction. Healthcare 2023, 11(24), 3133. https://doi.org/10.3390/healthcare11243133 [IF 2.8]

2022

62. Cay, G., Ravichandran, V., Saikia, M. J., Hoffman, L., Laptook, A., Padbury, J., & Mankodiya, K. (2022). An E-Textile Respiration Sensing System for NICU Monitoring: Design and Validation. Journal of Signal Processing Systems, 94(6), 543-557. https://doi.org/10.1007/s11265-021-01669-9 [IF 1.8]

63. Sadhu, S., Solanki, D., Constant, N., Ravichandran, V., Cay, G., Saikia, M. J., Akbar, U., & Mankodiya, K. (2022). Towards a Telehealth Infrastructure Supported by Machine Learning on Edge/Fog for Parkinson’s Movement Screening. Smart Health, 26, 100351. https://doi.org/10.1016/j.smhl.2022.100351

64. Tendhar, T., Marcotte, M. A., Saikia, M. J., & Mesquita, P. (2022). Relationship of Compassion for Self and Others to Sense of Well-Being of College Students. Journal of American College Health, 1–8. https://doi.org/10.1080/07448481.2022.2074276 [IF 2.4]

2021

65. Saikia, M. J.* (2021). A spectroscopic diffuse optical tomography system for the continuous 3D functional imaging of tissue - a phantom study. IEEE Transactions on Instrumentation and Measurement, 70. https://doi.org/10.1109/TIM.2021.3082314 [IF 5.6] [Solo-Authored]

66. Saikia, M. J.*, Besio, W. G., & Mankodiya, K. (2021). The Validation of a Portable Functional NIRS System for Assessing Mental Workload. Sensors, 21(11), 3810. https://doi.org/10.3390/s21113810 [IF 4.4]

67. Vinti, M.*, Saikia, M. J., Donoghue, J., Mankodiya, K. & Kerman, K. L. (2021). A modified Surface EMG Biomarker for Gait Assessment in Spastic Cerebral Palsy. Human Movement Science, 80, 102875. https://doi.org/10.1016/j.humov.2021.102875 [IF 2.4]

68. Brunyé, T. T.*, Drew, T., Saikia, M. J., Kerr, K. F., Eguchi, M. M., Lee, A. C., May, C., Elder, D. E., & Elmore, J. G. (2021). Melanoma in the blink of an eye: Pathologists’ rapid detection, classification, and localization of skin abnormalities. Visual Cognition, 29(6), 386–400. https://doi.org/10.1080/13506285.2021.1943093 [IF 2]

2020 and prior years

69. Saikia, M. J.*, Besio, W. G., & Mankodiya, K. (2019). WearLight: Toward a Wearable, Configurable Functional NIR Spectroscopy System for Noninvasive Neuroimaging. IEEE Transactions on Biomedical Circuits and Systems, 13(1), 91–102. https://doi.org/10.1109/TBCAS.2018.2876089 [IF 5.23]

70. Saikia, M. J., & Kanhirodan, R.* (2016). Region-of-interest diffuse optical tomography system. Review of Scientific Instruments, 87(1), 013701. https://doi.org/10.1063/1.4939054 [IF 1.7]

71. Saikia, M. J., Kanhirodan, R.*, & Mohan Vasu, R. (2014). High-speed GPU-based fully three-dimensional diffuse optical tomographic system. International Journal of Biomedical Imaging, 2014. https://doi.org/10.1155/2014/376456 [IF 1.3]

Conference Papers (Peer-reviewed)

72. Adusumallia, H., Inturia, S., Nalabolua, B., Baruah, H.G., Hatibaruah, R., Saikia, M.J. (2025). Multi-class Classification of LC Computed Tomography (CT) Images Using Transfer Learning Based on ResNet50. ICTCS 2024. https://doi.org/10.1007/978-981-96-4151-2_26

73. Thondithara, R. K., Datta, S., & Saikia, M. J.* (2024). ECG Synthesis from Reduced Lead Set using Neural Networks for Wearable Healthcare, IEEE INDICON24, pp. 1-4. https://doi.org/10.1109/INDICON63790.2024.10958337 

74. Vidyasagar, K.E.Ch, Sai, G.N.K., Munagala, R., & Saikia, M. J.* (2024). Gamified Rehabilitation and Physiotherapy using MediaPipe for Posture and Hand Gesture Recognitionn, IEEE ICMACC 2024. https://doi.org/10.1109/ICMACC62921.2024.10894406 

75. Vidyasagar, K.E.Ch, Manchikanti, V.J.D., Kanduri, H., & Saikia, M. J.* (2024). Portable multiparameter sensor fusion system for domestic applications, IEEE ICMACC 2024. https://doi.org/10.1109/ICMACC62921.2024.10894377 

76. Nath, A., Das, N., Borthakur, A., Nath, P.  A. Saikia, M. J., & Das, T. (2004). Paper Based Smart Sweat Sensor for Health Monitoring, 2024 6th International Conference on Electrical, Control and Instrumentation Engineering (ICECIE), Pattaya, Thailand, 2024, pp. 1-4, https://doi.org/10.1109/ICECIE63774.2024.10815691 

77. Vidyasagar, K.E.Ch, Karadula, R., Suraram, M., & Saikia, M. J.* (2024). Simulation and Control Solutions for Accessible Surgical Robotics in Developing Nations, 2024 IEEE 20th International Conference on Body Sensor Networks (BSN), Chicago, IL, USA, 2024, pp. 1-4, doi: https://doi.org/10.1109/BSN63547.2024.10780598 

78. Kim, N., Borthakur, D., & Saikia, M. J.* (2024) Machine Learning Approach for Music Familiarity Classification with Single-Channel EEG, 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA, 2024, pp. 1-4. https://doi.org/10.1109/EMBC53108.2024.10782402

79. Shankar, A., Chakraborty, D., Dandapat, S.  Barma, S., & Saikia, M. J.* (2024). Attention-based Deep Learning Framework for Seizure Type Classification, IEEE ASSIC 2024. https://doi.org/10.1109/ASSIC60049.2024.10507948

80. Kim, N., Borthakur, D., & Saikia, M. J.* (2024) Examining Brainwave Patterns in Response to Familiar Music: An EEG and Machine Learning Approach, IEEE SoutheastCon 2024. https://doi.org/10.1109/SoutheastCon52093.2024.10500273

81.  Nagrani, H. R., Patel, D. K., Shah, K. D., Patel, H. A., & Saikia, M. J.* (2023). Facial Expression Recognition using Convolutional Neural Network through Region-based Patch Generation: Harnessing Subtle Facial Cues, IEEE ICMLA 2023.  https://doi.org/10.1109/ICMLA58977.2023.00144  

82. Shankar, A., Chakraborty, D., Dandapat, S., Barma, S., & Saikia, M. J.* (2023). Seizure Type Detection Using EEG Signals Based on Phase Synchronization and Deep Learning, IEEE BSN 2023. https://doi.org/10.1109/BSN58485.2023.10331565

83. Vidyasagar, K.E.Ch, Raj, M.S., Mahreeen, S., & Saikia, M. J.* (2023). Gaze Tracking Control System for Wheelchair and Smart Home Automation, IEEE BSN 2023. https://doi.org/10.1109/BSN58485.2023.10331573

84. Gaudette, C., Cho, H., Saikia, M. J., & Ranger, B. J. (2022). Mimicry of skeletal muscle tissue with layered phantom for ultrasound imaging, IEEE MIT URTC Conference 2022. https://doi.org/10.1109/URTC56832.2022.10002212.

85. Saikia, M. J.* (2021). An embedded system based digital onboard hardware calibration for low-cost functional diffuse optical tomography system. Proc. SPIE 11632, Optics and Biophotonics in Low-Resource Settings VII, 1163207. https://doi.org/10.1117/12.2577332. [Solo-Authored]

86. Saikia, M. J.* (2021). Internet of things-based functional near-infrared spectroscopy headband for mental workload assessment.  Proc. SPIE 11629, Optical Techniques in Neurosurgery, Neurophotonics, and Optogenetics, 116292K. https://doi.org/10.1117/12.2577922 [Solo-Authored]

87. Saikia, M. J.* & Brunyé, T.T. (2021). K-means clustering for unsupervised participant grouping from fNIRS brain signal in working memory task. Proc. SPIE 11629, Optical Techniques in Neurosurgery, Neurophotonics, and Optogenetics, 116292M. https://doi.org/10.1117/12.2579114.

88. Saikia, M. J.* (2021). Design and Development of a Functional Diffuse Optical Tomography Probe for Real-time 3D Imaging of Tissue. Proc. SPIE 11639, Optical Tomography and Spectroscopy of Tissue XIV, 116391Q. https://doi.org/10.1117/12.2577433. [Solo-Authored]

89. Saikia, M. J.*, Kuanar, S., Borthakur, D., Vinti, M. & Tendhar, T. (2021). A machine learning approach to classify working memory load from optical neuroimaging data. Proc. SPIE 11629, Optical Techniques in Neurosurgery, Neurophotonics, and Optogenetics, 116292L. https://doi.org/10.1117/12.2578952.

90. Poorna, R., Kanhirodan, R., & Saikia, M. J.* (2021). Square-waves for frequency multiplexing for fully parallel 3D Diffuse Optical Tomography measurement. Proc. SPIE 11639, Optical Tomography and Spectroscopy of Tissue XIV, 116391S. https://doi.org/10.1117/12.2578500.

91. Costa, K., Hussey E., Fontes E., Olenich S., Saikia, M. J. , Elliott G., Cantelon J., & Giles G. (2021) Psychophysiological responses during maximal physical activity: A multimodal approach for understanding the role of affect in exercise, 8th annual SAS conference, 2021.

92. Matsumoto, C., Saikia, M. J., & Melanson, K. (2020). Correlates of Bite Behaviors Within Laboratory Meals in Healthy Women With Overweight and Obesity. In OBESITY (Vol. 28, pp. 72-72). 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY.

93. Matsumoto, C., Saikia, M. J., & Melanson, K. (2020). Improvement in Laboratory Eating Behavior at the Microstructural Level of Bites by Young Women with Overweight and Obesity. Current Developments in Nutrition, 4(Supplement_2), 1330–1330. https://doi.org/10.1093/cdn/nzaa059_047

94. Saikia, M. J.*, & Mankodiya, K. (2019). 3D-printed human-centered design of fNIRS optode for the portable neuroimaging. Design and Quality for Biomedical Technologies XII (Vol. 10870, p. 31). SPIE. https://doi.org/10.1117/12.2510955

95. Saikia, M. J.*, & Kanhirodan, R. (2019). A tabletop Diffuse Optical Tomographic (DOT) experimental demonstration system. Optics and Biophotonics in Low-Resource Settings V (Vol. 10869, p. 11). SPIE. https://doi.org/10.1117/12.2510857

96. Saikia, M. J.*, Mankodiya, K., & Kanhirodan, R. (2019). A point-of-care handheld region-of-interest (ROI) 3D functional diffuse optical tomography (fDOT) system. Optical Tomography and Spectroscopy of Tissue XIII (Vol. 10874, p. 90). SPIE. https://doi.org/10.1117/12.2510926

97. Abtahi, M., Shahriari, Y., Saikia, M. J., Cay, G., Akbar, U., & Mankodiya, K. (2019). EEG-fNIRS Combined Neuroimaging Study on PD patients performing UPDRS Motor Tasks (P5.8-020). Neurology, 92(15 Supplement) https://n.neurology.org/content/92/15_Supplement/P5.8-020.

98. Saikia, M. J.*, & Kanhirodan, R. (2019). Development of handheld near-infrared spectroscopic medical imaging system. Optics InfoBase Conference Papers, Part F168-BODA 2019, DS1A.6. https://doi.org/10.1364/BODA.2019.DS1A.6

99. Saikia, M. J., Manjappa, R., Mankodiya, K., & Kanhirodan, R. (2018). Depth sensitivity improvement of region-of-interest diffuse optical tomography from superficial signal regression. Optics InfoBase Conference Papers, Part F99-COSI 2018, CM3E.5. https://doi.org/10.1364/COSI.2018.CM3E.5

100. Saikia, M. J.*, & Mankodiya, K. (2018). A Wireless fNIRS Patch with Short-Channel Regression to Improve Detection of Hemodynamic Response of Brain. 3rd International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques, ICEECCOT 2018, 90–96. https://doi.org/10.1109/ICEECCOT43722.2018.9001342

101. Saikia, M. J.*, Cay, G., Gyllinsky, J. V., & Mankodiya, K. (2018). A Configurable Wireless Optical Brain Monitor Based on Internet-of-Things Services. 3rd International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques, ICEECCOT 2018, 42–48. https://doi.org/10.1109/ICEECCOT43722.2018.9001456

102. Saikia, M. J.*, Manjappa, R., & Kanhirodan, R. (2017). A cost-effective LED and photodetector based fast direct 3D diffuse optical imaging system. Optics InfoBase Conference Papers, Part F61-ECBO 2017, 104120Y. https://doi.org/10.1117/12.2285940

103. Abtahi, M., Cay, G., Saikia, M. J., & Mankodiya, K. (2016). Designing and testing a wearable, wireless fNIRS patch. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2016-October, 6298–6301. https://doi.org/10.1109/EMBC.2016.7592168

104. Saikia, M. J., Abtahi, M., & Mankodiya, K. (2016). Development of a Wireless Wearable fNIRS System. fNIRS2016, 2016-October.

105. Abtahi, M., Amir, A. M., Byrd, D., Saikia, M. J., & Mankodiya, K. (2016). Hand Flipping Detection in fNIRS data using Support Vector Machine. fNIRS2016, 2016-October.

106. Saikia, M. J., Manjappa, R., & Kanhirodan, R. (2016). Region-of-Interest Functional Diffuse Optical Tomography System. SPIE Translational Biophotonics, 2016-May.

107. Saikia, M. J.*, & Kanhirodan, R. (2014). Development of DOT system for ROI scanning. International Conference on Fibre Optics and Photonics, 2014, T3A.4. https://doi.org/10.1364/photonics.2014.t3a.4

108. Saikia, M. J.*, Rajan, K., & Vasu, R. M. (2014). 3-D GPU based real time Diffuse Optical Tomographic system. 2014 IEEE International Advance Computing Conference, IACC 2014, 1099–1103. https://doi.org/10.1109/IAdCC.2014.6779479.

109. Saikia, M. J.*, & Kanhirodan, R. (2014). High performance single and multi-GPU acceleration for Diffuse Optical Tomography. Proceedings of 2014 International Conference on Contemporary Computing and Informatics, IC3I 2014, 1320–1323. https://doi.org/10.1109/IC3I.2014.7019809

110. Bera, T. K., Saikia, M. J., & Nagaraju, J. (2013). A battery-based constant current source (Bb-CCS) for biomedical applications. 2013 4th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2013. https://doi.org/10.1109/ICCCNT.2013.6726810

Preprint Papers (Not peer-reviewed)

111. Patel, H. A., Patel, D. K., Shah, K. D., Saikia, M. J., & Ranger, B. J. (2023). Empowering Efficient Human Pose Estimation with Semantic Splitting, 14 June 2023, PREPRINT (Version 1) available at Research Square. https://doi.org/10.21203/rs.3.rs-3048490/v1

112. Saikia, M. J.* (2022). Optical Properties of Tissue in Near-infrared Region for NIRS-based Medical Imaging. Preprints 2022, 2022120187. https://doi.org/10.20944/preprints202212.0187.v1

113.  Alkhader, A.S., Saikia, M.J., Driscoll, B., & Mankodiya, K. (2020). Design and Characterization of a Helmet-Based Smart Textile Pressure Sensor for Concussion. Preprints 2020, 2020070629. https://doi.org/10.20944/preprints202007.0629.v1

Encyclopedia (Invited)

114. Flanagan, K.; Saikia, M. J.* (2023) Wearable Neurofeedback Technologies. Encyclopedia. Available online: https://encyclopedia.pub/entry/50469

115. Borthakur, D.; Paul, A.; Kapil, D.; Saikia, M. J.* (2023) Yoga Pose Estimation. Encyclopedia. Available online: https://encyclopedia.pub/entry/52765