Professional Biography

My research spans adaptive immunity, physics, chemistry, and philosophy—pursued through an independent research sabbatical in Chittagong to cultivate a deeper conceptual foundation across the physical and biological sciences.

Physics & Electrodynamics

Energy Transmission: A phase-resolved analysis of the instantaneous Poynting vector demonstrates that electromagnetic waves develop discretely, alternating between magnetic-dominant and electric-dominant phases where only energy propagates.

Atomic Architecture: A novel Periodic Table built on nuclear architecture and magnetic susceptibility resolves longstanding placement anomalies present in traditional valence approximations.

Particle Genesis: Modeling classical field-theoretic foundations shows the topological emergence of mass and charge during electron–positron pair production within a generative vacuum.

Unified Gravity: Recent work explicitly defines gravity as the resultant field of a rotating magnetic field, establishing gravity lines as twisted magnetic lines and unifying electric, magnetic, and gravitational lines under magnetic field variations.

Adaptive Immunity

Differential Signaling: Introduces a high-resolution paradigm for self/non-self discrimination, incorporating the "Compaction-Gated Anchor-Piston" TCR model and "Focused Flexibility" BCR model to show how physical force-fields and conformational dynamics govern cell activation, selection, and lineage choice.

Water-Mediated Dynamics: Demonstrates how internal interstitial water scaffolds act as active mechanical rheostats regulating TCR triggering.

Autoimmune Escape: Applies these mechanical frameworks to a Type 1 Diabetes model, demonstrating how subtle structural perturbations allow autoreactive T cells to evade thymic negative selection and trigger organ-specific autoimmunity.

I continue to refine these theoretical models and explore their broader implications across disciplines.

Education & Credentials

• Ph.D. in Immunology, Structural Bioinformatics, & Biochemistry, Monash University, Clayton, Australia (2009)
• B.Sc. in Electrical and Electronic Engineering, BUET, Dhaka, Bangladesh (2003)

Academic & Professional Appointments

• Independent Researcher & Scholar | Chittagong, Bangladesh (2011–Present)
• Assistant Professor | Independent University Bangladesh (IUB) (Feb 2010 – Dec 2010)
• Graduate Tutor | Monash University, Biomedical Sciences (Aug 2008 – Oct 2009)
• Lecturer | International Islamic University Chittagong (IIUC), CCE Department (Apr 2003 – May 2005)

Research Publications

1.      Maassoom, Y. A. (2026). Rotational Origin of Gravitational Coupling: Angular Velocity as a Structural Variable in Mass and Magnetic Moment Discrepancies. ScienceOpen. 2026. https://doi.org/10.14293/PR2199.004212.v1   

2.      Maassoom, Y. A. (2026). Derivation of a Dual-Axis Model of Atomic Structure from Physical Periodicity (August 12, 2026). SSRN: https://ssrn.com/abstract=7269142  or http://dx.doi.org/10.2139/ssrn.7269142

3.      Maassoom, Y. A. (2026). Localized Dynamic Quenching of the N-Terminal Anchor and C-Terminal Plasticity Govern Human Class I TCR Triggering (August 12, 2026). SSRN: https://ssrn.com/abstract=7269019 or http://dx.doi.org/10.2139/ssrn.7269019

4.      Maassoom, Y. A. (2026). Topological Genesis of Mass and Charge: A Generative Vacuum Model for Electron–Positron Pair Production. ScienceOpen. 2026. DOI: https://doi.org/10.14293/PR2199.004187.v1   

5.      Maassoom, Y. A. (2026). Differential TCR Signaling and the Mechanics of Autoimmune Escape: A Type 1 Diabetes Paradigm. ScienceOpen. 2026. DOI: https://doi.org/10.14293/PR2199.004176.v1  

6.      Maassoom, Y. A. (2026). Water-mediated mechanical coupling governs T-cell discrimination in HLA-B*35 (v1). Research Square. https://doi.org/10.21203/rs.3.rs-10506720/v1

7.      Maassoom, Y. A. (2026). Phase-resolved analysis of electromagnetic energy transport via the instantaneous Poynting vector (v1). ECSarXiv. https://doi.org/10.1149/osf.io/rhv3y_v1

8.      Maassoom, Y. A. (2026). Differential signaling in adaptive immunity: Deciphering the mechanism to identify the physical and evolutionary bases of non-self (v1) . Research Square. https://doi.org/10.21203/rs.3.rs-10189940/v1

9.      Maassoom, Y. A. (2026). The role of antibody-induced antigen flexibility in regulating CD4+ T cell epitope generation (v1) . MDPI Preprints. https://doi.org/10.20944/preprints202606.2020.v1

10.   Maassoom, Y. A. (2026). Reconstructing the periodic table using the physical parameters of nuclear architecture (v1) . Research Square. https://doi.org/10.21203/rs.3.rs-10122191/v1

11.   Maassoom, Y. A. (2026). Differential T-cell receptor signaling: A novel paradigm for thymic selection and lineage commitment. Open Access Library Journal, 13, Article e14914. https://doi.org/10.4236/oalib.1114914

12.   Maassoom, Y. A. (2026). Natural dynamics: The necessity of change and the consequences of forced stasis. International Journal of Theology, Philosophy and Science, 10(18), 80–85. https://doi.org/10.26520/ijtps.2026.10.18.80-85

13.   Maassoom, Y. A. (in press). The universe of mind: Innocence, interference, and the asymmetry of judgement. International Journal of Theology, Philosophy and Science.

14.   Arafat (Maassoom), Y. (2009). A computational investigation of the structural and physicochemical basis of autoantigenicity [Manuscript]. Zenodo. https://doi.org/10.5281/zenodo.21425184

15.   Arafat (Maassoom), Y., Fenalti, G., Whisstock, J. C., Mackay, I. R., Banda, M. G., Rowley, M. J., & Buckle, A. M. (2009). Structural determinants of GAD antigenicity. Molecular Immunology, 47(2–3), 493–505. https://doi.org/10.1016/j.molimm.2009.08.022

16.   Arafat (Maassoom), Y., Kamruzzaman, J., Karmakar, G. C., & Fernandez-Recio, J. (2009). Predicting protein-protein interfaces as clusters of Optimal Docking Area points. International Journal of Data Mining and Bioinformatics, 3(1), 55–67. https://doi.org/10.1504/IJDMB.2009.023884

17.   Fenalti, G., Hampe, C. S., Arafat (Maassoom), Y., Law, R. H. P., Banga, J. P., Mackay, I. R., Whisstock, J. C., Buckle, A. M., & Rowley, M. J. (2008). COOH-terminal clustering of autoantibody and T-cell determinants on the structure of GAD65 provide insights into the molecular basis of autoreactivity. Diabetes, 57(5), 1293–1301. https://doi.org/10.2337/db07-1461

18.   Arafat (Maassoom), Y., Karmakar, G. C., Kamruzzaman, J., & Fernandez-Recio, J. (2006). Predicting protein-protein interface using desolvation energy similarity matching. In Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2006) (pp. 1–8). IEEE. https://doi.org/10.1109/CIBCB.2006.330987

19.   Arafat (Maassoom), Y., Kamruzzaman, J., & Karmakar, G. C. (2006). Prediction of protein-protein interface residues using sequence neighborhood and surface properties. In J. Wang, Z. Yi, J. M. Zurada, B. L. Lu, & H. Yin (Eds.), Advances in Neural Networks – ISNN 2006 (Lecture Notes in Computer Science, Vol. 3973, pp. 660–666). Springer. https://doi.org/10.1007/11760023_96

20. Arafat (Maassoom), Y. (2007, July 6–8). The structural basis of contrasting antigenicities of human GAD isoforms [Invited presentation]. 11th Australasian Autoimmunity Workshop, Alfred Hospital, Melbourne, VIC, Australia.