Summary Statistics

• Total Peer-Reviewed Publications: 111 (77 Journal, 34 Conference) 

•  First/Corresponding/Solo-Authored: 91 (including 6 solo-authored papers, 3 in journals)

1. 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 Author) [IF 5.2]

2. 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 Author) [IF 5.9]

3. 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 Author) [IF 5.9]

4. 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 (First & Corresponding Author) [IF 5.23]

5. Bulusu, G., Vidyasagar, K. E. Ch, Mudigonda, M., & Saikia, M. J. (2025). Cancer Detection Using Artificial Intelligence: A Paradigm in Early Diagnosis. Archives of Computational Methods in Engineering, 32, 2365–2403. https://doi.org/10.1007/s11831-024-10209-0 (Corresponding Author) [IF 12.1]

6. 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. https://doi.org/10.1038/s44303-024-00031-5 (Corresponding Author) [Nature Partner Journal]

Journal Papers

2025

1. Bulusu, G., Vidyasagar, K. E. Ch, Mudigonda, M., & Saikia, M. J. (2025). Cancer Detection Using Artificial Intelligence: A Paradigm in Early Diagnosis. Archives of Computational Methods in Engineering, 32, 2365–2403. https://doi.org/10.1007/s11831-024-10209-0 (Corresponding Author) [IF 12.1]

2. Purkayastha, B. B., Barma, S., & 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 (Corresponding Author) [IF 4.5]

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

4. 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. https://doi.org/10.1038/s41598-025-86527-5 (Corresponding Author) [IF 3.9]

5. Leiva-Araos, A., Gana, B., Allende-Cid, H., García, J., & Saikia, M. J. (2025). Large scale summarization using ensemble prompts and in context learning approach. Scientific Reports, 15, 10259. https://doi.org/10.1038/s41598-025-94551-8 (Corresponding Author) [IF 3.9]

6. 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. https://doi.org/10.1038/s41598-025-08034-x (Corresponding Author) [IF 3.9]

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

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, 13, 110344–110364. https://doi.org/10.1109/ACCESS.2025.3583263 (Corresponding Author) [IF 3.6]

9. 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 (Corresponding Author) [IF 3.6]

10. 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, 13, 27037–27049. https://doi.org/10.1109/ACCESS.2025.3539180 (Corresponding Author) [IF 3.6]

11. 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 (Corresponding Author) [IF 5]

12. 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 (Corresponding Author) [IF 5]

13. Maity, S. & Saikia, M. J. (2025). Large Language Models in Healthcare and Medical Applications: A Review. Bioengineering, 12(6), 631. https://doi.org/10.3390/bioengineering12060631 (Corresponding Author) [IF 3.7]

14. 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 (Corresponding Author) [IF 3.7]

15. 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, 12, 355. https://doi.org/10.3390/bioengineering12040355 (Corresponding Author) [IF 3.7]

16. 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 (Corresponding Author) [IF 3.2]

17. 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 (Corresponding Author) [IF 3.0]

18. 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 (Corresponding Author) [IF 2.8]

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, 14(3), 99. https://doi.org/10.3390/computers14030099 (Corresponding Author) [IF 2.6]

20. 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 (Corresponding Author) [IF 2.5]

21. Das, S., Jagan, L., Singh, G. K., Kumar, S., Rout, J., Soni, A., Nanda, S. K., & Saikia, M. J. (2025). Multilayered digital image encryption approach to resist cryptographic attacks for cybersecurity. PeerJ Computer Science, 11, e3260. https://doi.org/10.7717/peerj-cs.3260 (Corresponding Author) [IF 2.5]

22. Sharma, A., Saxena, A., Agrawal, M., Kishor, K., ..., & Saikia, M. J. (2025). iSeizdiag: toward the framework development of epileptic seizure detection for healthcare. Frontiers in Computational Neuroscience, 19, 1545425. https://doi.org/10.3389/fncom.2025.1545425 (Corresponding Author) [IF 2.3]

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 (Corresponding Author) [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 (Corresponding Author) [CiteScore 3.8]

25. Grebennikova, V., Leonov, D., Zhou, Z., Costa-Júnior, J. F. S., Shestakova, D., Saikia, M. J., Vetsheva, N., Kulberg, N., Pashinceva, K., Omelianskaya, O., & Vasilev, Y. (2025). Design and validation of a technology for 3D printing training phantoms for ultrasound imaging. Physical and Engineering Sciences in Medicine. https://doi.org/10.1007/s13246-025-01670-7 (Author) [IF 2.0]

26. Baruah, S., Suresh, R., Govindarajulu, R. B., Kumar, C. J., Chanda, B., Dugar, L., & Saikia, M. J. (2025). Feature Extraction and Comparative Analysis of Firing Pin, Breech Face, and Annulus Impressions from Ballistic Cartridge Images. Forensic Sciences, 5(4), 62. https://doi.org/10.3390/forensicsci5040062 (Corresponding Author) [CiteScore 2.9]

27. 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 (Corresponding Author) [IF 1.5]

28. Majhi, V., Paul, S., Hussain, M. & Saikia, M. J. (2025). Surgical Procedures and Parkinson’s Disease: A Retrospective Analysis of Potential, The Open Bioinformatics Journal. (accepted) (Corresponding Author) [IF 0.87]

29. Lepcha, D. C., Goyal, B., Dogra, A., Singh, A., Ali, A., Kukreja, V. & Saikia, M. J. (2025). An adaptive multiscale fusion with non-linear unsharp masking for enhanced medical imaging, PLOS ONE. (accepted) (Corresponding Author) [IF 2.6]

30. Borthakur, D., Crockett, L., Mihalchan, J., Swann, J, & Saikia, M. J. (2025). Empowering Bystanders: A Psychological and Institutional Model for Intervention in Academic Bullying, Frontiers in Psychology. (accepted) (Corresponding Author) [IF 3.8]

2024

31. 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. https://doi.org/10.1038/s44303-024-00031-5 (Corresponding Author) [Nature Partner Journal]

32. 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, 36(10), 102260. https://doi.org/10.1016/j.jksuci.2024.102260 (Corresponding Author) [IF 6.1]  

33. 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, 14(5), 254. https://doi.org/10.3390/bios14050254 (Corresponding Author) [IF 5.4]

34. 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 (Corresponding Author) [IF 4.0]

35. 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, 14(1), 1–29. https://doi.org/10.1038/s41598-024-67502-y (Corresponding Author) [IF 3.9]

36. 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, 14(1), 1–19. https://doi.org/10.1038/s41598-024-64421-w (Author) [IF 3.9]

37. 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 (Corresponding Author) [IF 3.6]

38. Saikia, M. J., Kuanar, S., Mahapatra, D., & Faghani, S. (2024). Multi-Modal Ensemble Deep Learning in Head and Neck Cancer HPV Sub-typing. Bioengineering, 11(1), 13. https://doi.org/10.3390/bioengineering11010013 (First & Corresponding Author) [IF 3.7]

39. Johnson, Z., & Saikia, M. J. (2024). Digital Twins for Healthcare using Wearables. Bioengineering, 11(6), 606. https://doi.org/10.3390/bioengineering11060606 (Corresponding Author) [IF 3.7]

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, 11(12), 1252. https://doi.org/10.3390/bioengineering11121252 (Corresponding Author) [IF 3.7]

41. 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, 11(12), 1215. https://doi.org/10.3390/bioengineering11121215 (Corresponding Author) [IF 3.7]

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

43. 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, 8(4), 102. https://doi.org/10.3390/logistics8040102 (Corresponding Author) [IF 3.6]

44. Saikia, M. J. & Alkhader, A. S. (2024). Smart Textile Impact Sensor for e-Helmet to Measure Head Injury. Sensors, 24(9), 2919. https://doi.org/10.3390/s24092919 (First & Corresponding Author) [IF 3.5]

45. 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 International Journal of Geo-Information, 13(8), 274. https://doi.org/10.3390/ijgi13080274 (Corresponding Author) [IF 3.4]

46. 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 (Corresponding Author) [IF 3.1]

47. 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 (Corresponding Author) [IF 3.1]

48. 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, 14(16), 1759. https://doi.org/10.3390/diagnostics14161759 (Corresponding Author) [IF 3.0]

49. 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 (Author) [IF 2.9]

50. 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, 13(4), 105. https://doi.org/10.3390/computers13040105 (Corresponding Author) [IF 2.8]

51. 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, 12(10), 1033. https://doi.org/10.3390/healthcare12101033 (Corresponding Author) [IF 2.8]

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

53. 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 (Corresponding Author) [IF 2.5]

54. 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 (Corresponding Author) [IF 2.5]

55. 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 (Corresponding Author) [IF 2.4]

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

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

58. 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 (Corresponding Author) [IF 1.3]

2023

59. 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 Author) [IF 5.9]

60. 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 Author) [IF 5.2]

61. 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 (Corresponding Author) [IF 5.2]

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

63. 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. IEEE Access, 11, 95253–95266. https://doi.org/10.1109/ACCESS.2023.3309158 (Author) [IF 3.7]

64. Flanagan, K. & Saikia, M. J. (2023). Consumer-Grade Electroencephalogram and Functional Near-Infrared Spectroscopy Neurofeedback Technologies for Mental Health and Wellbeing. Sensors, 23(20), 8482. https://doi.org/10.3390/s23208482 (Corresponding Author) [IF 3.5]

65. 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 (Author) [IF 4.4]

66. 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 (Author) [IF 3.4] 

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

2022

68. 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 (Author) [CiteScore 7.7] 

69. 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 (Author) [IF 2.4]

70. 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 (Author) [IF 1.8]

2021

71. 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 Author) [IF 5.9]

72. 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 (First & Corresponding Author) [IF 3.5]

73. 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 (Author) [IF 2.4]

74. 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 (Author) [IF 2]
    
    

2020 and prior years

75. 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 (First & Corresponding Author) [IF 5.23]

76. 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 (First Author) [IF 1.7]

77. 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. https://doi.org/10.1155/2014/376456 (First Author) [IF 1.3]

Conference Papers (Peer-reviewed)

2025

78. Doodipala, R. R., Pandey, P., Rojas, C. T., Saikia, M. J., & Sitaram, R. (2025). Region-Aware Reconstruction Strategy for Pre-training fMRI Foundation Model. In Foundation Models for the Brain and Body Workshop-NeurIPS 2025. https://arxiv.org/abs/2511.00443 (Author)

79. 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. In ICTCS 2024. https://doi.org/10.1007/978-981-96-4151-2_26 (Author)

2024

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

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

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

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

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

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

86. 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 Recognition. In IEEE ICMACC 2024. https://doi.org/10.1109/ICMACC62921.2024.10894406 (Corresponding Author)

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

2023

88. 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. In 2023 International Conference on Machine Learning and Applications (ICMLA), Jacksonville, FL, USA, pp. 973–979. https://doi.org/10.1109/ICMLA58977.2023.00144 (Corresponding Author) 

89. 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. In IEEE BSN 2023. https://doi.org/10.1109/BSN58485.2023.10331565 (Corresponding Author)

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

2022

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

2021

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

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

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

95. 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. In Proc. SPIE 11629, Optical Techniques in Neurosurgery, Neurophotonics, and Optogenetics, 116292L. https://doi.org/10.1117/12.2578952 (First & Corresponding Author)

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

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

2019

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

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

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

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

102. 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 (Author)

2018

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

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

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

2017

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

2016

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

2014

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

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

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

2013

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

Conference Abstracts (Non-Archival)

1. 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. In 8th Annual SAS Conference, 2021.

2. Matsumoto, C., Saikia, M. J., & Melanson, K. (2020). Correlates of Bite Behaviors Within Laboratory Meals in Healthy Women With Overweight and Obesity. In OBESITY, 28, pp. 72-72.

3. 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

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

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

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

Preprint Papers (Not peer-reviewed)

7. 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

8. 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

9.  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

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

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