McMaster Logo                                                                                      Seshasai Srinivasan
Home Summary Research Teaching Publications Musings

My Role in the publications is identified with the following tags: 1 = data collection, 2 = data analysis, 3 = manuscript preparation, s = minor contribution (< 25%), e = equal contribution, m = major contribution (> 80%), f = full contribution, Supervisor = mentoring, co-authoring/ editing manuscripts, and some possible assistance with data analysis.

Click on the year below to view the publications for that year. A pdf version of all my publications can be obtained here.
 

  1. Syed Rahin Ahmed, Masoomeh Sherazee, Poushali Das, Md Shalauddin, Shamima Akhter, Wan Jefrey Basirun, Seshasai Srinivasan, Amin Reza Rajabzadeh. Electrochemical assisted enhanced nanozymatic activity of functionalized borophene for H2O2 and tetracycline detection. Biosensors and Bioeletronics. vol. 246, pp. 115857, 2024. (My Role: Co-Supervisor).

  2. Ilich A Ibarra, Catalina V Flores, Juan L Obeso, Herlys Viltres Cobas, Enelio Torres Garcia, Amin Reza Rajabzadeh, Seshasai Srinivasan, Ricardo A Peralta, Carolina Leyva. Spent coffee ground-calcium alginate biosorbent for adsorptive removal of methylene blue from aqueous solutions. RSC Sustainability. vol. 2, pp. 239-246, 2024. (My Role: Co-Supervisor).

  3. JuanL.Obeso, Herlys Viltres, Catalina V. Flores, Valeria B.Lopez-Cervantes, Camilo Serrano-Fuentes, Amin Reza Rajabzadeh, Seshasai Srinivasan, Ricardo A. Peralta, IlichA. Ibarra and Carolina Leyva. Al(III)-based MOF for the selective adsorption of phosphate and arsenate from aqueous solutions. RSC Applied Interfaces, DOI:10.1039/d3lf00061c, 2024. (My Role: Co-Supervisor).

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  1. Ankur Bassi, Soham Tushar Bodas, Syed Shuja Hasan, Gaganpreet Sidhu, Seshasai Srinivasan. Predictive Modeling of Hardness Values and Phase Fraction Percentages in Micro-Alloyed Steel during Heat Treatment Using AI. Metals, vol. 14(1), pp. 49, 2023. (My Role: Co-Supervisor).

  2. Mohammad Kalteh and Seshasai Srinivasan, Investigating the effect of surface roughness size and shape on the nanofluid behavior and nanoparticles aggregation in a square nanochannel by molecular dynamics simulation. Korean Journal of Chemical Engineering, accepted, in press, 2023. (My Role: Co-Supervisor).

  3. Syed Rahin Ahmed, Masoomeh Sherazee, Poushali Das, Jesse Dondapati, Seshasai Srinivasan and Amin Rajabzadeh, Borophene Quantum Dots with Enhanced Nanozymatic Activity for the Detection of H2O2 and Cardiac Biomarkers. ACS Applied Nano Materials, vol. 6(21), pp.19939-19946, 2023. (My Role: PI and Supervisor).

  4. Poushali Das, Sayan Ganguly, Andreas Rosenkranz, Bo Wang, Jinhong Yu, Seshasai Srinivasan, Amin Reza Rajabzadeh. MXene/0D nanocomposite architectures: Design, properties and emerging applications. Materials Today Nano, vol. 24, pp. 100428. (My Role: PI and Supervisor).

  5. Mohit Anil Lal, Akashdeep Singh, Ryan Mzik, Amirmsoud Lanjan and Seshasai Srinivasan. AI-based Nano-scale Material Property Prediction For Li-Ion Batteries. Preprints 2023, 2023111620. https://doi.org/10.20944/preprints202311.1620.v1 (My Role: PI and Supervisor).

  6. Masoomeh Sherazee, Syed Rahin Ahmed, Poushali Das, Seshasai Srinivasan and Amin Rajabzadeh, Electrochemically Enhanced peroxidase-like activity of nanohybrids for rapid and sensitive detection of H2O2 and Dopamine. Colloids and Surfaces A: Physicochemical and Engineering Aspects, pp. 132576, 2023. (My Role: PI and Supervisor).

  7. Roxana Paz, Herlys Viltres, Nishesh Kumar Gupta, Vivian Phung, Seshasai Srinivasan, Amin Rajabzadeh and Carolina Leyva, Covalent Organic Frameworks as Highly Versatile Materials for the Removal and Electrochemical Sensing of Organic Pollutants. Chemosphere, vol. 342, pp 140145, 2023. (My Role: PI and Supervisor).

  8. Zahra Moradi, Amirmasoud Lanjan, Ramavtar Tyagi and Seshasai Srinivasan, Review on current state, challenges and potential solutions in solid-state batteries research. Journal of Energy Storage, Vol. 73, Part C, pp 109048, 2023. (My Role: PI and Supervisor).

  9. Amirmasoud Lanjan, Zahra Moradi and Seshasai Srinivasan, A Computational Framework Combining Quantum Mechanics, Molecular Dynamics and Deep Neural Networks to Evaluate the Intrinsic Properties of Materials. The Journal of Physical Chemistry, vol. 127 (31), pp. 6603-6613, 2023. (My Role: PI and Supervisor). (My Role: PI and Supervisor).

  10. Roxana Paz, Herlys Viltres, Nishesh Kumar Gupta, Carolina Leyva, Rushikesh P Dhavale, Hyung-Ho Park, Adolfo Romero-Galarza, Amin Reza Rajabzadeh, Seshasai Srinivasan, High-capacity adsorptive removal and recovery of trivalent europium ions using zinc-based metal-organic frameworks: Adsorption and mechanism study. Inorganic Chemistry Communications, vol. 155, pp. 111049, 2023. (My Role: PI and Supervisor).

  11. Md. Shalauddin, Shamima Akhter, Wan Jefrey Basirun, Vannajan Sanghiran Lee, Ab Rahman Marlinda, Syed Rahin Ahmed, Amin Reza Rajabzadeh and Seshasai Srinivasan. Bimetallic metal organic framework anchored multi-layer black phosphorous nanosheets with enhanced electrochemical activity for paracetamol detection. Electrochimica Acta. vol. 454 pp 142423, 2023. (My Role: PI and Supervisor).

  12. Poushali Das, Masoomeh Sherazee, Parham Khoshbakht Marvi, Syed Rahin Ahmed, Aharon Gedanken, Seshasai Srinivasan, Amin Reza Rajabzadeh. Waste-Derived Sustainable Fluorescent Nanocarbon-Coated Breathable Functional Fabric for Antioxidant and Antimicrobial Applications. ACS Appl. Mater. Interfaces, vol 15 (24), pp. 29425-29439, 2023. (My Role: PI and Supervisor).

  13. Roxana Paz, Herlys Viltres, Nishesh Kumar Gupta, Carolina Leyva, Rushikesh P Dhavale, Hyung-Ho Park, Adolfo Romero-Galarza, Amin Reza Rajabzadeh, Seshasai Srinivasan. Fabrication of metal-organic frameworks with trimesic linkers for europium adsorption and recovery from aqueous solutions. Journal of Environmental Chemical Engineering. vol. 11(3), pp. 110084, 2023. (My Role: PI and Supervisor).

  14. Syed Rahin Ahmed, Ana Gomez Cardoso, Herlys Viltres CObas, Poushali Das, Aicheng Chen, Seshasai Srinivasan and Amin Reza Rajabzadeh. Graphdiyne Quantum Dots for H2O2 and Dopamine Detection. ACS Applied Nano Materials. vol. 6(10), pp. 8434-8443, 2023. (My Role: PI and Supervisor).

  15. Juan L. Obeso, Herlys Viltres, Catalina V. Flores, Alfredo La-Olvera, Amin Reza Rajabzadeh, Seshasai Srinivasan, Ilich A. Ibarra and Carolina Leyva1. Al(III)-based MOFs Adsorbent for Pollution Remediation: Insights into Selective Adsorption of Sodium Diclofenac. Journal of Environmental Chemical Engineering. vol. 11(3), pp. 109872, 2023. (My Role: PI and Supervisor).

  16. Amirmasoud Lanjan, Zahra Moradi and Seshasai Srinivasan. A Computational Framework for Evaluating Molecular Dynamics Potential Parameters Employing Quantum Mechanics. Molecular Systems Design & Engineering. vol. 8(5), pp. 632-646, 2023. (My Role: PI and Supervisor).

  17. Ana Gomez Cardoso, Syed Rahin Ahmed, Zahra Keshavarz-Motamed, Seshasai Srinivasan and Amin Rajabzadeh, Recent Advancements of Nanomodified Electrodes - Towards Point-of-Care Detection of Cardiac Biomarkers, Bioelectrochemistry. vol. 152, pp. 108440, 2023. (My Role: PI and Supervisor).

  18. Ana Gomez Cardoso, Herlys Viltres, Greter A Ortega, Vivian Phung, Rehmat Grewal, Hoda Mozaffari, Syed Rahin Ahmed, Amin Reza Rajabzadeh, Seshasai Srinivasan. Electrochemical sensing of analytes in saliva: Challenges, progress, and perspectives. Trends in Analytical Chemistry, vol. 160, pp. 116965, 2023. (My Role: PI and Supervisor).

  19. Adan Amer, Gaganpreet Sidhu and Seshasai Srinivasan, A Consideration of Gradeless Learning in Higher Education. Int. J. Ped. and teacher Educ. (in press) (2023). (My Role: PI and Supervisor).

  20. Adan Amer, Gaganpreet Sidhu, Maria Isabel Ramirez Alvarez, Juan Antonio Lopez Ramos, Seshasai Srinivasan. Equity, Diversity, and Inclusion Strategies in Engineering and Computer Science. Education Sciences, Accepted, in press. Also in Preprints 2023, 2023120860. https://doi.org/10.20944/preprints202312.0860.v1 (My Role: PI and Supervisor).

  21. [Conf.] Zhen Gao and Seshasai Srinivasan. Immersive and Diversified Artificial Intelligence Education. Int. Conf. on Interactive Mobile Communication, Technologies and Learning. 9-10 Nov (2023), Thessaloniki, Greece. (My Role: PI and Supervisor).
    [PDF]

  22. [Conf.] Ramavtar Tyagi and Seshasai Srinivasan (2023). A Strategy To Predict Early Thermal Runaway Event In Lithium-Ion Batteries Using Molecular Dynamics And Machine Learning Modelling. Proceesings of the 14th Int. Conf. on Thermal Engineering - Theory and Applications. 25-27 May, 2023, Yalova, Turkey. (My Role: PI and Supervisor).

  23. [Conf.] Martha Kafuko and Seshasai Srinivasan (2023). A Genetic Algorithm For Designing Cost Effective Multiphase Steels. Proceesings of the 14th Int. Conf. on Thermal Engineering - Theory and Applications. 25-27 May, 2023, Yalova, Turkey. (My Role: PI and Supervisor).

  24. [Conf.] Ankur Bassi, Soham Bodas, Syed Shuja Hasan, Gaganpreet Sidhu and Seshasai Srinivasan (2023). Predicting Steel Hardness And Microstructures Using Feed-Forward Neural Networks. Proceesings of the 14th Int. Conf. on Thermal Engineering - Theory and Applications. 25-27 May, 2023, Yalova, Turkey. (My Role: PI and Supervisor).

  25. [Conf.] Thomas Lee, Seshasai Srinivasan and Ahmed Elmogamer A Pedagogy for Microcredentials in Engineering Education: The MacAccess Example. Proceedings of the BRIC Symposium, pp. 38-39, 28 July 2023, Hamilton, Canada. (My Role: PI and Supervisor).
    [PDF]

  26. [Book] Amin Reza Rajabzadeh, Seshasai Srinivasan, Poushali Das, Sayan Ganguly. Magnetic Quantum dots for Bioimaging". CRC Press, Taylor & Francis Group. ISBN: 978-1-032-32146-2. DOI: 10.1201/9781003319870. (2023). (My Role: PI and Supervisor).

  27. [Book Ch.] Poushali Das, Seshasai Srinivasan, Amin Reza Rajabzadeh. Electromagnetic Interference Shielding Behavior of MXenes: Theoretical and Experimental Perspectives. Book title: MXene Nanocomposites: Design, Fabrication, and Shielding Applications. CRC Press, Taylor & Francis Group, pp. 137-152, 2023. (My Role: PI and Supervisor).

  28. [Book Ch.] Poushali Das, Akanksha Gupta, Moorthy Maruthapandi, Arumugam Saravanan, Seshasai Srinivasan, Amin Reza Rajabzadeh and Aharon Gedanken (2022). Polymer Composites for Biosensors. In: Jyotishkumar Parameswaranpillai and Sayan Ganguly (eds) Polymeric Nanocomposite Materials for Sensor Applications, pp 323 - 342, Elsevier. (My Role: 3e).

  29. [Book Ch.] Poushali Das, Syed Rahin Ahmed, Seshasai Srinivasan and Amin Reza Rajabzadeh and (2023). Optical Properties of Quantum Dots. In: Quantum Dots and Polymeric Nanocomposites: Synthesis, Chemistry and Applications, pp 69-85, CRC Press Taylor and Francis (accepted). (My Role: PI and Supervisor).

  30. [Patent] Syed Rahin Ahmed, Greter Amelia Ortega Rodriguez, Satish Kumar Tuteja, Seshasai Srinivasan, Amin Reza Rajabzadeh. Nanozymes with radical-scavenging capping agents and methods of detection therewith. Patent number 11592422. US Patent application no: 17743951. (My Role: PI and Supervisor).

  31. [Patent] Satish Kumar Tuteja, Syed Rahin Ahmed, Greter Amelia Ortega Rodriguez, Seshasai Srinivasan, Amin Reza Rajabzadeh (2023). Nanomaterials for electrochemical detection of phenolic analytes. US Patent Application no: 17919071. (My Role: PI and Supervisor).

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  1. Poushali Das, Sayan Ganguly, Arumugam Saravanan, Shlomo Margel, Aharon Gedanken, Seshasai Srinivasan and Amin Reza Rajabzadeh (2022). Naturally derived carbon dots in situ confined self-healing and breathable hydrogel monolith for anomalous diffusion-driven phytomedicine release. ACS Applied Bio Materials, accepted. 2022 (My Role: PI and Supervisor).

  2. Adan Amer, et al. (2022). Understanding the Cognitive Load Issues in Engineering Education. In: Nandeeta Bala, Alosin Cook-Sather and Sarah Slates (eds.). The Art of Partnership - Expanding Representations and Interpretations. International Journal for Students as Partners , Vol 6(2), pp 135-152. 2022 (My Role: PI and Supervisor).
    [PDF]

  3. Adan Amer, Gaganpreet Sidhu, Zhao Bo and Seshasai Srinivasan (2022). A Short Review of Online Learning Assessment Strategies. Int. J. Ped. and Teacher Educ., Vol 6(2), pp 74-87. 2022 (My Role: PI and Supervisor).
    [PDF]

  4. Poushali Das, Sayan Ganguly, Syed Rahin Ahmed, Masoomeh Sherazee, Shlomo Margel, Aharon Gedanken, Seshasai Srinivasan and Amin Reza Rajabzadeh (2022). Carbon dot-biopolymer based flexible functional films for antioxidant and food monitoring applications. ACS Applied Polymer Materials, vol. 4, 9323-9340. 2022 (My Role: PI and Supervisor).

  5. Syed Rahin Ahmed, Greter A Ortega, Satish Kumar, Seshasai Srinivasan and Amin Reza Rajabzadeh (2022). Strong Nanozymatic Activity of Thiocyanate Capped Gold Nanoparticles: An Enzyme-Nanozyme Cascade Reaction Based Dual Mode Ethanol Detection in Saliva. New Journal of Chemistry, Vol 2022, pp. 1194-1202. DOI: 10.1039/D1NJ03648C, Vol. 46, pp1194-1202, 2022. (My Role: PI and Supervisor).
    [Link]

  6. Herlys Viltres, Nishesh Kumar Gupta, Roxana Paz, Rushikesh P. Dhavale, Hyung-Ho Park, Carolina Leyva, Seshasai Srinivasan & Amin Reza Rajabzadeh (2022) Mercury remediation from wastewater through its spontaneous adsorption on non-functionalized inverse spinel magnetic ferrite nanoparticles, Environmental Technology. (My Role: PI and Supervisor).
    [Link]

  7. Shamima Akhter, Md. Shalauddin, Wan Jeffrey Basirun, Vannajan Sanghiran Lee, Syed Rahin Ahmed, Amin Rajabzadeh, and Seshasai Srinivasan. A Highly Selective Bifunctional Nanosensor Based on Nanocellulose and 3D Polypyrrole Decorated with Silver-Gold Bimetallic Alloy to Simultaneously Detect Methotrexate and Ciprofloxacin. Sensors and Actuators: B. Chemical, Vol. 373, pp. 132743, 2022. (My Role: PI and Supervisor)
    [Link]

  8. Amirmasoud Lanjan and Seshasai Srinivasan (2022). An Enhanced Battery Ageing Model Based on a Detailed Diffusing Mechanism in the SEI Layer. ECS Advances, Vol. 1, pp 030504, https://doi.org/10.1149/2754-2734/ac8e84. 2022. (My Role: PI and Supervisor)
    [PDF]

  9. Meng Zhang, Zi Xu Gu, Adan Amer, Gaganpreet Sidhu and Seshasai Srinivasan (2022). A Software Suite for Self-Paced Learning International Journal of Emerging Technologies in Learning, Vol 17, Issue 19, pp 20-32, 2022. https://doi.org/10.3991/ijet.v17i19.34575 (My Role: PI and Supervisor)
    [PDF]

  10. Arthur Wang, Chiral Mehta, Daniel Hilal, James Kabugo, Seshasai Srinivasan and Zhen Gao (2022). A Comparative Study of Deep Learning Models for Recognition of Poisonous Foods for Dogs. Sensors and Transducers, Vol 257, Issue 3, pp 38-44, 2022. (My Role: 3e)
    [PDF]

  11. Ramavtar Tyagi and Seshasai Srinivasan (2022). Co-Doping Studies to Enhance the Life and Electro-Chemo-Mechanical Properties of LiMn2O4 Cathode using Multi-scale Modeling and Neuro-computing Techniques Physical Chemistry Chemical Physics, Vol. 24 (31), pp. 18645-18666, 2022. (My Role: PI and Supervisor)

  12. Roxana Paz, Nishesh Kumar Gupta, Herlys Viltres, Carolina Leyva, Adolfo Romero-Galarza, Seshasai Srinivasan, and Amin Reza Rajabzadeh (2022). Lanthanides adsorption on metal-organic framework: Experimental insight and spectroscopic evidence. Separation and Purification Technology, Vol. 298, pp. 121606, 2022. (My Role: PI and Supervisor)

  13. Hadi Mehrtash, Dinara Konakbayeva, Solmaz Tabtabaei, Seshasai Srinivasan and Amin Rajabzadeh (2022). A New Perspective to Tribocharging: Could Tribocharging Lead to the Development of a Non-destructive Approach for Process Monitoring and Quality Control of Powders? Foods, Vol. 11 (5), pp. 693, 2022. (My Role: PI and Supervisor)
    [PDF]

  14. Gaganpreet Sidhu and Seshasai Srinivasan (2022). Adopting the Pedagogy of Trust and Its Impact on Learning. Int. J. End. Ped. https://doi.org/10.3991/ijep.v12i4.29719, 2022. (My Role: PI and Supervisor).
    [PDF]

  15. Leanne A Greaves, James McKendry, Nasim Muhammad and Seshasai Srinivasan (2022). The Transition from In-class to Online Lectures During a Pandemic: Understanding the Student Experience. Int. J. Eng. Educ., Vol. 38 (2), pp. 376-392, 2022. (My Role: PI and Supervisor).
    [PDF]

  16. Gaganpreet Sidhu and Seshasai Srinivasan (2022). Integration of Ethics, Sustainability, and Social Responsibility Components in an Undergraduate Engineering Course on Finite Element Analysis. Int. J. Eng. Educ., Vol. 38 (3), pp. 656-662, 2022. (My Role: PI and Supervisor).
    [PDF]

  17. Syed Rahin Ahmed, Masoomeh Sherazee, Seshasai Srinivasan, Amin Reza Rajabzadeh (2022). Nanozymatic Detection of Thiocyanate Through Acceleraating the Growth of Ultra-small Gold Nanoparticles/Graphene Quantum Dots Hybrids. Food Chemistry, Vol. 379, pp. 132152, 2022. (My Role: PI and Supervisor)
    [Link]

  18. Syed Rahin Ahmed, Masoomeh Sherazee, Seshasai Srinivasan, Amin Reza Rajabzadeh (2022). Positively Charged Gold Quantum Dots: An Nanozymatic "Off-On" Sensor for Thiocyanate Detection. Foods, Vol. 11, pp. 1189, 2022. (My Role: PI and Supervisor)
    [PDF]

  19. Simran Sandhu, Ramavtar Tyagi, Elahe Talaei, and Seshasai Srinivasan (2022). Using neurocomputing techniques to determine microstructural properties in a Li-ion battery. Neural Computing and Applications, https://doi.org/10.1007/s00521-022-06985-0, pp 1-17, 2022. (My Role: PI and Supervisor)

  20. Martha Sahyli Ortega Pijeira, Herlys Viltres, Jan Kozempel, Michal Sakmar, Martin Vlk, Derya llemozdemir, Mehila Ekinci, Seshasai Srinivasan, Amin Rajabzadeh, Edurado Ricci-Junior, Luciana Magalhaes Rebelo Alencar, Mohammed Al Qahtani, and Ralph Santos-Olivera (2022). Radiolabeled nanomaterials for biomedical applications: Radiopharmacy in the Era of Nanotechnology. EJNMMI Radiopharmacy and Chemistry, Vol. 7(1), pp. 1-36, , 2022. (My Role: Supervisor, 3s)

  21. Syed Rahin Ahmed, Seshasai Srinivasan and Amin Rajabzadeh (2022). Nanozymatic Detection of Thiocynate Through Acelerating the Growth of Ultra-Small Gold Nanoparticles/Graphene Quantum Dots Hybrid. Food Chemistry, Vol. 379, pp. 132152, 2022. (My Role: PI and Supervisor)

  22. Ramavtar Tyagi, Amirmasoud Lanjan and Seshasai Srinivasan (2022). Co-Doping Strategies to Improve the Electrochemical Properties of LixMn2O4 Cathodes for Li-Ion Batteries. ChemElectroChem. Vol. 9 (3), pp e202101626, 2022. (My Role: PI and Supervisor).

  23. Seshasai Srinivasan (2022). A Three-Stage Solidification Model for Food Particles. Foods, 2022, 11(1), 46; https://doi.org/10.3390/foods11010046. (My Role: PI)

  24. Greter Ortega, Syed Rahin Ahmed, Satish K. Tuteja, Seshasai Srinivasan, and Amin Reza Rajabzadeh (2022). A Biomolecule-free Electrochemical Sensing Approach based on a Novel Electrode Modification Technique: Detection of Ultra-Low Concentration of Delta-9-tetrahydro-cannabinol in Saliva by Turning a Sample Analyte into a Sensor Analyte. Talanta. Vol. 236, pp. 122863. (My Role: PI and Supervisor).

  25. [Book Ch.] Seshasai Srinivasan. The evolution of the Finite Element Analysis course: Steps towards human-centric engineering. In A. de Bie & C. A. Grise (Eds.), Where learning deeply matters: Reflections on the past, present, and future of teaching at McMaster University (Chapter 18). Paul R. MacPherson Institute for Leadership, Innovation and Excellence in Teaching, McMaster University.

  26. [Book Ch.] Geng, F., Srinivasan, S., Gao, Z., Bogoslowski, S., Rajabzadeh, A.R. (2022). An Online Approach to Project-Based Learning in Engineering and Technology for Post-secondary Students. In: Auer, M.E., Tsiatsos, T. (eds) New Realities, Mobile Systems and Applications. IMCL 2021. Lecture Notes in Networks and Systems, vol 411. Springer, Cham. https://doi.org/10.1007/978-3-030-96296-8_56 (My Role: 3e).

  27. [Book Ch.] Alavi, M., Srinivasan, S. (2022). Introduction of Online Labs to Enhance the Quality of the Real-Time Systems Course. In: Auer, M.E., Tsiatsos, T. (eds) New Realities, Mobile Systems and Applications. IMCL 2021. Lecture Notes in Networks and Systems, vol 411. Springer, Cham. https://doi.org/10.1007/978-3-030-96296-8_77 (My Role: 3e).

  28. [Book Ch.] Rajabzadeh, A.R., Mehrtash, M., Srinivasan, S. (2022). Multidisciplinary Problem-Based Learning (MPBL) Approach in Undergraduate Programs. In: Auer, M.E., Tsiatsos, T. (eds) New Realities, Mobile Systems and Applications. IMCL 2021. Lecture Notes in Networks and Systems, vol 411. Springer, Cham. https://doi.org/10.1007/978-3-030-96296-8_41 (My Role: 3e).

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  1. Seshasai Srinivasan, Juan Antonio Lopez Ramos, and Nasim Muhammad (2021). A Flexible Future Education Model-Strategies Drawn from Teaching during the COVID-19 Pandemic, Educ. Sci., 11, 557. https://doi.org/10.3390/educsci11090557 (My Role: 1e, 2e, 3m).
  2. Sylvie Antoun, Seshasai Srinivasan, and M Ziad Saghir (2021). A Refined Molecular Dynamics Approach to Predict the Thermophysical Properties of Positively Charged Alumina Nanoparticles Suspended in Water, International Journal of Thermofluids, doi: https://doi.org/10.1016/j.ijft.2021.100114 (My Role: 3s).
  3. Amirmasoud Lanjan, Zahra Moradi and Seshasai Srinivasan (2021). A Multi-Scale Investigation of Diffusion Mechanism Within the Solid-Electrolyte Interface Layer: Coupling Quantum Mechanics, Molecular Dynamics, and Macro-Scale Mathematical Modeling. ACS Applied Materials & Interfaces, DOI: 10.1021/acsami.1c12322. (My Role: PI and Supervisor).
  4. Ortega Greter, Del Sol Fernandez Susel, Portilla Yadileiny, Cedeño Enrique, Reguera Edilso, Srinivasan Seshasai, Barber Domingo F., Marin E., Rajabzadeh Amin Reza. Rod-like particles of polydopamine-CdTe quantum dots: An actuator as a photothermal agent and reactive oxygen species-generating nanoplatform for cancer therapy. ACS Applied Materials & Interfaces, https://doi.org/10.1021/acsami.1c08676. (My Role: 3s).
  5. Zahra Moradi, Amirmasoud Lanjan and Seshasai Srinivasan (2021). Multi-Scale Investigation into Co-Doping Strategy on The Electrochemical Properties of Li2RuO3 Cathode for Li-Ion Batteries". ChemElectroChem. Vol. 8, No. 1, pp 112-124. (My Role: PI and Supervisor).
  6. Jay Vora, Vivek K. Patel, Seshasai Srinivasan, Rakesh Chaudhari, Danil Yurievich Pimenov, Khaled Giasin and Shubham Sharma (2021). Optimization of Activated- Tungsten Inert Gas Welding Process Parameters Using Heat Transfer Search Algorithm: With Experimental Validation Using Case Studies. Metals. Vol. 11, No. 6, pp. 981. (My Role: 3s)
  7. Rohit Chand, Neha Mittal, Seshasai Srinivasan and Amin Rajabzadeh (2021). Upconverting Nanoparticles Clustering Based Rapid Quantitative Detection of Tetrahydrocannabinol (THC) on Lateral-flow Immunoassay". The Analyst. Vol. 146, No. 2, pp. 574-580. https://doi.org/10.1039/D0AN01850C. (My Role: PI and Supervisor)
  8. Syed Rahin Ahmed, Satish Kumar Tuteja, Greter Amelia Ortega Rodriguez, Seshasai Srinivasan and Amin Rajabzadeh (2021). Target Specific Aptamer-Induced Self-assembly of fluorescent Graphene Quantum Dots on Palladium Nanoparticles for Sensitive Detection of Tetracycline in Raw Milk. Journal of Food Chemistry, Vol. 346, pp 128893. (My Role: PI and Supervisor).
  9. Nasim Muhammad and Seshasai Srinivasan (2021). Online Education During a Pandemic - Adaptation and Impact on Student Learning. Int. J. Engineering Pedagogy, Vol. 11, No. 3, pp 71-83. (My role: 2f, 3f).
  10. Gaganpreet Sidhu, Seshasai Srinivasan and Nasim Muhammad (2021). Challenge-Based and Competency-Based Assessments in an Undergraduate Programming Course. Int. J. Emerging Technologies in Learning, Vol. 16, Isue 13, pp. 17-28.
  11. Syed Rahin Ahmed, Ana Gomez Cardoso, Satish Kumar, Greter A. Ortega, Seshasai Srinivasan and Amin Reza Rajabzadeh (2021)."Nanozymes in biosensing, therapeutics, and bioimaging" in "Nanozymes: Advances and Applications", Ed. Sundaram Gunasekaran, published by CRC Press, Taylor & Francis group, 2021. (My role: PI and Supervisor).
  12. Nasim Muhammad and Seshasai Srinivasan (2021). Transition from In-class to Online Lectures During A Pandemic: in "Visions and Concepts for Education 4.0", Eds M. E. Auer and D. Centea, ICBL 2020, AISC 1314, pp 1-8, Published by Springer Nature, Switzerland. (My role: 1e, 2f, 3f).
  13. Seshasai Srinivasan and Dan Centea (2021). Problem Based Learning in Finite Element Analysis: in "Visions and Concepts for Education 4.0", Eds M. E. Auer and D. Centea, ICBL 2020, AISC 1314, pp 1-7, Published by Springer Nature, Switzerland. (My role: 1f, 2f, 3m).
  14. Steven Bogoslowski, Fei Geng, Zhen Gao, Amin Rajabzadeh and Seshasai Srinivasan. (2021). Integrated Thinking - A Cross-disciplinary Project-Based Engineering Education: in "Visions and Concepts for Education 4.0", eds M. E. Auer and D. Centea, ICBL 2020, AISC 1314, pp 1-7, Published by Springer Nature, Switzerland. (My role: 3s).
  15. Dan Centea and Seshasai Srinivasan. (2021) Collaboration with Industry in the Development and Assessment of a PBL Course: in "Visions and Concepts for Education 4.0", eds M. E. Auer and D. Centea, ICBL 2020, AISC 1314, pp 1-7, Published by Springer Nature, Switzerland. (My role: 3s).
  16. Dan Centea and Seshasai Srinivasan (2021). Design of a Vehicle for Modern Mobilities in Metropolitan Areas. Proceedings of the 24th International Conference on Interactive Collaborative Learning - ICL2021.Conference 2021. 22-24 September 2021, Dresden, Germany.
  17. Gaganpreet Sidhu, Seshasai Srinivasan and Dan Centea (2021). Lessons Learnt in an Online Teaching Environment, and Cues for the Future. Proceedings of the 24th International Conference on Interactive Collaborative Learning - ICL2021.Conference 2021. 22-24 September 2021, Dresden, Germany.
  18. Simran Sandhu, Ramavtar Tyagi, Seshasai Srinivasan and Elahe Talaie Pashiri (2021). AI-Based Predictive Model to Determine Microstructural Properties in a Li-Ion Battery Proceedings of the BRIC Symposium - 2021, Vol. 01A/21, pp. A4-V1-BRIC2021, Hamilton, Canada
  19. Syed Rahin Ahmed, SeshasaiSrinivasan and Amin Reza Rajabzadeh (2021). Exciton-Plasmon Interaction in Semiconductor-MetalNanoparticle: Biological Assembly and applications. Proceedings of the BRIC Symposium - 2021, Vol. 01A/21, pp. B4-V1-BRIC2021, Hamilton, Canada
  20. Greter A. Ortega, Edilso Reguera, Seshasai Srinivasan, and Amin Reza Rajabzadeh (2021). Rod-like Particles of Polydopamine and CdTe Quantum Dots. Application in Biosensors and Cancer Therapy. Proceedings of the BRIC Symposium - 2021, Vol. 01A/21, pp. F2-V1-BRIC2021, Hamilton, Canada
  21. Ramavtar Tyagi and Seshasai Srinivasan (2021). Studying Electro-Mechanical Properties Of Electrode Materials Using Molecular Dynamics. Proceedings of the BRIC Symposium - 2021, Vol. 01A/21, pp. F3-V1-BRIC2021, Hamilton, Canada
  22. Amirmasoud Lanjan and Seshasai Srinivasan (2021). Doping of Cathode Materials in Li-Ion Batteries. Proceedings of the BRIC Symposium - 2021, Vol. 01A/21, pp. G1-V1-BRIC2021, Hamilton, Canada
  23. Hadi Mehrtash, Amin Rajabzadeh and Seshasai Srinivasan (2021). Charge Quantification During Tribocharging in Particle-laden Pipe Flows. Proceedings of the BRIC Symposium - 2021, Vol. 01A/21, pp. B2-V1-BRIC2021, Hamilton, Canada
  24. Seshasai Srinivasan (2021). A Short Note on the Emerging Technologies - Implication for a Software Engineer. BRIC Bulletin, Vol. 1, pp. 6-8.

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  1. Karthikumar Thakkar, Surendra Singh Kachhwaha, Pravin Kodgire and Seshasai Srinivasan, "Combustion Investigation of Ternary Blend Mixture of Biodiesel/N-Butanol/Diesel: CI Engine Performance and Emission Control". Renewable & Sustainable Energy Reviews, Vol. 137, pp 110468, 2020. (My role: 3s).

  2. Syed Rahin Ahmed, Rohit Chand, Satish Kumar Tuteja, Neha Mittal, Seshasai Srinivasan and Amin Rajabzadeh, "Recent Biosensing Advances in the Rapid Detection of Illicit Drugs". Trends in Analytical Chemistry. Vol. 131, pp 116006, 2020. (My Role: PI and Supervisor).

  3. Zahra Moradi, Amirmasoud Lanjan and Seshasai Srinivasan, "Enhancement of Electrochemical Properties of Lithium Rich Li2RuO3 Cathode Material". J Electrochemical Society. Vol. 167(11), pp 110537, 2020. (My Role: PI and Supervisor).

  4. Ramavtar Tyagi and Seshasai Srinivasan, "Molecular Dynamics Modeling of Lithium Ion Intercalation Induced Change in the Mechanical Properties of LixMn2O4". Journal of Chemical Physics, Vol. 153, pp 164712, 2020. (My Role: PI and Supervisor).

  5. Gaganpreet Sidhu, Seshasai Srinivasan and Sanjeewan Bhole, "A Model For Bainite Formation at Isothermal Heat Treatment Conditions", ASME Journal of Thermal Science and Engineering Applications, Vol. 12(1): 011006, 2020. (My role: PI and Supervisor).

  6. Seshasai Srinivasan and Nasim Muhammad, " Implementation of a Course in Computational Modeling of Biological Systems in an Undergraduate Engineering Program", Int. J. Engineering Education, Vol. 36 (3), pp 857-864, 2020. (My role: 2f, 3f).

  7. Seshasai Srinivasan and Nasim Muhammad, " A Constructivist Approach for Mathematics Education", Journal of Education and Pedagogy, Vol. 12, pp 1-5, 2020. (My role: 1e, 2f, 3f).

  8. Seshasai Srinivasan and Nasim Muhammad, " Effect of the Time of Day of Instruction on Student Learning", International Journal of Pedagogy and Teacher Education, Vol. 4, pp 126-137, 2020. (My role: 1e, 2f, 3f).

  9. Srinivasan S, Rajabzadeh AR and Centea D. (2020). A Project-Centric Learning Strategy in Biotechnology: in "The Impact of the 4th Industrial Revolution on Engineering Education. ICL 2019. Advances in Intelligent Systems and Computing." : pp 830-838. Springer Nature, Switzerland. (My role: 1p, 2f, 3f).

  10. Muhammad N and Srinivasan S. (2020). A Problem Solving Based Approach to Learn Engineering Mathematics. In "The Impact of the 4th Industrial Revolution on Engineering Education. ICL 2019. Advances in Intelligent Systems and Computing.": pp 839-848. Springer Nature, Switzerland. (My role: 1e, 2f, 3f).

  11. Centea D, Srinivasan S, Singh I and Wanyama T. (2020). A Collaborative Approach in Designing Curriculum for Industry 4.0 Software Integration Implementation. In "The Impact of the 4th Industrial Revolution on Engineering Education. ICL 2019. Advances in Intelligent Systems and Computing.": pp 135-144. Springer Nature, Switzerland. (My role: 3s).

  12. Srikumar Balasubramanian, Gaganpreet Sidhu and Seshasai Srinivasan, "Use of Artificial Intelligence for Injection Control Systems". ICTEA 2020, Proceedings of the 13th International Conference on Thermal Engineering: Theory and Applications, Baku, Azerbaijan, 2020. (My Role: PI and Supervisor).

  13. Gaganpreet Sidhu and Seshasai Srinivasan, "An Intelligent Algorithm for Designing High Carbon Bainitic Steels". ICTEA 2020, Proceedings of the 13th International Conference on Thermal Engineering: Theory and Applications, Baku, Azerbaijan, 2020. (My Role: PI and Supervisor).

  14. Ramavtar Tyagi and Seshasai Srinivasan, "Molecular Dynamics Modelling of Li-Ion Intercalation Induced Thermal Diffusion in LixMn2O4 Material". ICTEA 2020, Proceedings of the 13th International Conference on Thermal Engineering: Theory and Applications, Baku, Azerbaijan, 2020. (My Role: PI and Supervisor).

  15. Sylvie Antoun, M. Z. Saghir and Seshasai Srinivasan, "An improved molecular dynamics algorithm to study thermodiffusion in binary hydrocarbon mixtures", 16th International Heat Transfer Conference (IHTC-16) in Beijing, China, 2018. (My Role: Co-PI and Supervisor).

  16. Ken Tsoi, Seshasai Srinivasan and Zhen Gao. AI Recommendation System for Hamilton Public Library (Phase II). # pages 41. McMaster University, 2020.

  17. Sanaz Dastjerdi, Samin Farajollahi, Seshasai Srinivasan and Amin Rajabzadeh. A Machine Learning Algorithm to Determine Concentration of Ethanol in Fluids. # pages 56. McMaster University, 2020.

  18. Yash Dham, Zheng Huang, Seshasai Srinivasan and Zhen Gao. Artificial Intelligence-based Library Management System. # pages 40. McMaster University, 2020.

  19. Anirudh Gorantla, Ashwin Jacob, Saurabh Sashi Kumar, Seshasai Srinivasan and Zhen Gao. AI for Solar Refrigeration Systems in Long Haul Trucks - Hardware. # pages 39. McMaster University, 2020.

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  1. Subash Dhakal and Seshasai Srinivasan, "Study of Effective Electrical Conductivity of Additive Free Electrodes Using a Homogenization Method", Journal of Energy and Power Engineering, Vol. 13, pp. 249-266, 2019. (My Role: PI and Supervisor).

  2. Jay Vora, Abhishek Kumar, Seshasai Srinivasan,"Attaining optimized A-TIG welding parameters for carbon steels by advanced parameter-less optimization techniques: with experimental validation", J. Brazilian Society of Mechanical Sciences and Engineering, Vol. 41, No. 261, 2019. (My role: 3s).

  3. Seyedeh Hoda Mozaffari, Seshasai Srinivasan and M Ziad Saghir,"A Study on Thermodiffusion in Ternary Liquid Mixtures Using Enhanced Molecular Dynamics Algorithm with Experimental Validation", Can. J. Chem. Eng., Vol. 97 (1), pp 344- 350, 2019. (My Role: Co-PI and Supervisor)

  4. Srinivasan S and Centea D. (2019). An Active Learning Strategy for Programming Courses. In "Mobile Technologies and Applications for the Internet of Things. IMCL 2018. Advances in Intelligent Systems and Computing.": 327-336. Springer Nature, Switzerland. (My role: 1f, 2f, 3m)

  5. Centea D and Srinivasan S. (2019). Assessment in Problem-Based Learning Using Mobile Technologies. In "Mobile Technologies and Applications for the Internet of Things. IMCL 2018. Advances in Intelligent Systems and Computing.": 337-346. Springer Nature, Switzerland. (My role: 3s).

  6. Gaganpreet Sidhu, Seshasai Srinivasan and Sanjeewan Bhole, Microstructural Analysis of Heat Treated Steels, ICTEA 2019, Proceedings of the 12th International Conference on Thermal Engineering: Theory & Applications, Gandhinagar, Gujarat, India, 2019. (My Role: PI and Supervisor).

  7. Gaganpreet Sidhu, Seshasai Srinivasan and M. Ziad Saghir, Computational Analysis of Thermodiffusion in Ternary Liquid Mixtures, ICTEA 2019, Proceedings of the 12th International Conference on Thermal Engineering: Theory & Applications, Gandhinagar, Gujarat, India, 2019. (My role: PI and Supervisor).

  8. Seshasai Srinivasan and Gaganpreet Sidhu, "Technology and Intervention-Based Instruction for Improved Student Learning", ICEER2014 International Conference on Engineering Education and Research, Hamilton, Canada, 2014. (My Role: PI and Supervisor, 1f, 2s, 3e).

  9. Jaismine Wadhwa and Seshasai Srinivasan. Qualitative study on the limitations of Draeger DrugTest 5000 in comparison to Standardized Field Sobriety Tests in Ontario. # pages 17. McMaster University, 2019.

  10. Neel Patel, Ankur Patel, Darshan Singh and Seshasai Srinivasan. A Carpet Based Composite Material for Truck Wall Panels. # pages 46. McMaster University, 2019.

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  1. Gaganpreet Sidhu, Seshasai Srinivasan and Sanjeewan Bhole, "An algorithm for optimal design and thermomechanical processing of high carbon bainitic steels", International Journal of Aerodynamics, Vol.6 No.2/3/4, pp.176 - 196, 2018. (My Role: PI and Supervisor).

  2. Sylvie Antoun, M. Z. Saghir and Seshasai Srinivasan, "An improved molecular dynamics algorithm to study thermodiffusion in binary hydrocarbon mixtures", The Journal of chemical physics, Vol. 148(10), 104507, 2018. (My Role: Co-PI and Supervisor).

  3. Sylvie Antoun, M. Z. Saghir and Seshasai Srinivasan, "Composition effect on thermophobicity of ternary mixtures: An enhanced molecular dynamics method", The Journal of chemical physics, Vol. 149, 034502, 2018. (My Role: Co-PI and Supervisor).

  4. Gaganpreet Sidhu and Seshasai Srinivasan, "An Intervention-Based Active-Learning Strategy To Enhance Student Performance in Mathematics", Int. J. of Pedagogy and Teacher Education, Vol. 2 (6), pp 277-288, 2018. (My Role: Supervisor)

  5. Jeff Fortuna and Seshasai Srinivasan"Course Conversion from Face-To-Face to Online for Technical Courses", Proceedings of 2018 International Conference on Interactive Mobile Communication, Technologies and Learning (IMCL2018), Hamilton, Canada. pp. 129-138, 2018. (My role: 3s).

  6. Gaganpreet Sidhu, Seshasai Srinivasan and Sanjeewan Bhole,"A Model For Bainite Formation at Isothermal Temperatures", ICTEA2018, Proceedings of the 11th International Conference on Thermal Engineering, Doha - Qatar, 2018. (My Role: PI and Supervisor).

  7. Harjot Singh Hunjan, Nnamdi Umolu, Vishal Jha, Sharandeep Kaur Brar and Seshasai Srinivasan. Large Scale Manufacturing Facility for Recycling Tire Waste into Highway Noise Barriers. # pages 91. McMaster University, 2018.

  8. Sai Sudheer Gannavarapu and Seshasai Srinivasan. Recycled Carpet as Composite Material. # pages 15. McMaster University, 2018.

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  1. Seyedeh Hoda Mozaffari, Seshasai Srinivasan and M Ziad Saghir, "Thermodiffusion in binary and ternary hydrocarbon mixtures studied using a modified heat exchange algorithm", Therm. Sci. and Eng. Prog., Vol. 4, pp. 168-174, 2017. (My Role: Co-PI and Supervisor).

  2. Seyedeh Hoda Mozaffari, Seshasai Srinivasan and M Ziad Saghir, "Evaluations of Molecular Dynamics Methods for Thermodiffusion in Binary Mixtures", ASME J. Therm. Sci. and Eng. App., Vol. 9, pp. 031011, 2017. (My Role: Co-PI and Supervisor).

  3. Sidhu G, Srinivasan S and Centea D. (2017). Implementation of a Problem Based Learning Environment for First Year Engineering Mathematics. In "Social Progress and Sustainability.": 201-208. Aalborg: Aalborg Universitetsforlag, Denmark. (My role: 1f, 2f, 3m).

  4. Centea D and Srinivasan S. (2017). Enhancing Student Learning through Problem Based Learning. In "Social Progress and Sustainability.": 376-385. Aalborg: Aalborg Universitetsforlag, Denmark. (My role: 3e).

  5. Patrick Rushton, Seshasai Srinivasan and Gaganpreet Sidhu, "A Real-time Injection Control System for Transient Operation of IC Engines", ICTEA2017, Proceedings of the 10th International Conference on Thermal Engineering, Muscat - Oman, 2017. (My Role: PI and Supervisor).

  6. Seyedeh Hoda Mozaffari, Seshasai Srinivasan and M. Ziad Saghir, "Estimation of Thermodiffusion Factor for Binary Hydrocarbon Mixtures Using an Enhanced Non-Equilibrium Molecular Dynamics Algorithm", ICTEA2017, Proceedings of the 10th International Conference on Thermal Engineering, Muscat - Oman, 2017. (My Role: Co-PI and Supervisor).

  7. Gaganpreet Sidhu, Seshasai Srinivasan and Sanjeewan Bhole, "A Heuristic Algorithm For Optimal Design and Thermomechanical Processing of High Carbon Bainitic Steels", ICTEA2017, Proceedings of the 10th International Conference on Thermal Engineering, Muscat - Oman, 2017. (My Role: Co-PI and Supervisor).

  8. Gaganpreet Sidhu and Seshasai Srinivasan and Dan Centea, "Implementation of a Problem Based Learning Environment for First Year Engineering Mathematics", 6th International Research Symposium on PBL (IRSPBL), Bogota, Colombia, 2017. (My Role: PI and Supervisor).

  9. Dan Centea and Seshasai Srinivasan, "Enhancing Student Learning Through Problem Based Learning", 6th International Research Symposium on PBL (IRSPBL), Bogota, Colombia, 2017. (My Role: 3s)

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  1. M. Ziad Saghir, Amirhossein Ahadi, Abdulmajeed Mohamad and Seshasai Srinivasan, "Water Aluminum Oxide Nanofluid Benchmark Model", Int. J. Therm. Sci., Vol. 109, pp 148−158, 2016. (My role: 3s).

  2. Dan Centea and Seshasai Srinivasan, "A Comprehensive Assessment Strategy for a PBL Environment", International Journal of Innovation and Research in Educational Sciences, Vol. 3 (6), pp 364-372, 2016. (My role: 3s).

  3. Gaganpreet Sidhu and Seshasai Srinivasan, "An Efficient Grading Strategy for Large Classes", ICTEA2016, Proceedings of the 9th International Conference on Thermal Engineering, Abu Dhabi - United Arab Emirates, 2016. (My Role: PI and Supervisor).

  4. Seyedeh Hoda Mozaffari, Seshasai Srinivasan and M. Ziad Saghir, "Evaluation of Molecular Dynamics Methods for Thermodiffusion in Binary Mixtures", ICTEA2016, Proceedings of the 9th International Conference on Thermal Engineering, Abu Dhabi - United Arab Emirates, 2016. (My role: Co-PI and Supervisor).

  5. Gaganpreet Sidhu, Roustam Pallonji, and Seshasai Srinivasan, "Molecular Dynamics Simulations of Ion-Pairing in Electrochemical Fluids", ICTEA2016, Proceedings of the 9th International Conference on Thermal Engineering, Abu Dhabi - United Arab Emirates, 2016. (My Role: PI and Supervisor)

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  1. Srinivasan S and Centea D. (2015). Applicability of Principles of Cognitive Science in Active Learning Pedagogies. In "Proceedings of the 13th International Workshop Active Learning in Engineering.": 99-104. Aalborg: Aalborg Universitetsforlag, Denmark. (My role: 1f, 2f, 3m).

  2. Seshasai Srinivasan and Dan Centea, "Applicability of Principles of Cognitive Science in Active Learning Pedagogies ", IJCLEE 2015, International Joint Conference on the Learner in Engineering Education, Donostia - San Sebastian, Spain, 2015. (My Role: 1f, 2f, 3m).

  3. Dan Centea and Seshasai Srinivasan, "Problem Based Learning in the Conceptual Design of Hybrid Electric Vehicles ", IJCLEE 2015, International Joint Conference on the Learner in Engineering Education, Donostia - San Sebastian, Spain, 2015. (My Role: 3s).

  4. Gaganpreet Sidhu and Seshasai Srinivasan, "An Intervention-Based Active Learning Strategy Employing Principles of Cognitive Psychology", CEEA15, Proceedings of Canadian Engineering Education Associate (CCEA15) Conference, Hamilton, Canada, 2015. (My Role: PI and Supervisor).

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  1. Seshasai Srinivasan and M. Ziad Saghir, "Predicting Thermodiffusion in an Arbitrary Binary Liquid Hydrocarbon mixtures using Artificial Neural Networks", Neural Computing and Applications, Vol. 25, pp 1193-1203, 2014. (My role: 1f, 2f, 3m).

  2. A. Gully, H. Liu, Seshasai Srinivasan, A. K. Sethurajan, S. Schougaard and B. Protas, "Effective Transport Properties of Porous Electrochemical Materials - A Homogenization Approach", Journal of Electrochemical Society, Vol. 161 (8), pp. E3066-E3077, 2014. (My role: 2s, 3s).

  3. Seshasai Srinivasan and Gaganpreet Sidhu, "Technology and Intervention-Based Instruction for Improved Student Learning", ICEER2014 International Conference on Engineering Education and Research, Hamilton, Canada, 2014. (My Role: PI and Supervisor, 1f, 2s, 3e).

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  1. Seshasai Srinivasan and M. Ziad Saghir, "A Computational Evaluation of Micro-Scale and Macro-Scale Error Sources in a Thermodiffusive Cell", Journal of Computational Science, Vol. 5 (5), pp. 765−776, 2013. (My role: 1f, 2f, 3m).

  2. Seshasai Srinivasan and M. Ziad Saghir, "New Algebraic Expressions for Thermodiffusion in Binary n-Alkane Mixtures", Canadian Journal of Chemical Engineering, Vol. 91 (6), pp. 1168−1174, 2013. (My role: 1f, 2f, 3m).

  3. Seshasai Srinivasan and M. Ziad Saghir, "Modeling of Thermotransport Phenomenon in Metal Alloys Using Artificial Neural Networks", Applied Mathematical Modeling, Vol. 37, pp. 2850−2869, 2013. (My role: 1f, 2f, 3m).

  4. Seshasai Srinivasan and M. Ziad Saghir, Thermodiffusion in Multicomponent Mixtures: Thermodynamic, Algebraic and Neuro-Computing Models, Springer, USA, 2012. (My Role: 1f, 2f, 3m).

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  1. Seshasai Srinivasan and M. Ziad Saghir, "A Neurocomputing Model to Calculate the Thermo-Solutal Diffusion in Liquid Hydrocarbon mixtures", Neural Computing and Applications, Vol. 24, pp. 287−299, 2012. (My role: 1f, 2f, 3m).

  2. Aram Parsa, Seshasai Srinivasan and M. Ziad Saghir, "Impact of Density Gradients on the Fluid Flow Inside a Vibrating Cavity Subjected to Soret Effect", Canadian Journal of Chemical Engineering, Vol. 91 (3), pp. 550−559, 2012. (My role: 2s, 3s).

  3. M. Ziad Saghir, Seshasai Srinivasan and Stefan Van Vaerenbergh, "Soret Measurement for Multi-Component Hydrocarbon Mixtures from Space Experiment Conducted Onboard FOTON M3 Unmanned Satellite", Applied Mechanics and Materials, Vol. 225, pp. 470-474, 2012. (My role: 2f, 3s).

  4. Seshasai Srinivasan and M. Ziad Saghir, "Thermodiffusion in Ternary Hydrocarbon Mixtures: Part 2 - n-decane/ isobutylbenzene/tetralin", Journal of Non-Equilibrium Thermodynamics, Vol. 37, pp. 99-113, 2012. (My role: 1f, 2f, 3m).

  5. S. Srinivasan, Q. Galand, S. Van Vaerenbergh, M. Dejmeck, M. Z. Saghir, "Computational Investigation of Thermal Boundaries in Micro-Gravity Thermodiffusional Flows", Proceedings CASI-ASTRO 2012, Quebec city, Canada, 2012. (My Role: 1e, 2f, 3f).

  6. S. Srinivasan, M. Z. Saghir, Q. Galand, S. Van Vaerenbergh, M. Dejmeck, "Computational Evaluation of the Current Thermodiffusion Experiments on ISS", 63rd International Astronautical Congress, Paper ID: 15710, Italy 2012. (My Role: 1e, 2f, 3f).

  7. S. Srinivasan, D. Alonso de Mezquia, M.M. Bou-Ali2, M. Z. Saghir, "Experimental and Numerical Analysis of Molecular and Thermal Diffusion in Binary n-Alkane Mixtures", International Symposium on Multiphase flow and Transport Phenomena, Agadir, Morocco, 2012. (My Role: 1m, 2f, 3f).

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  1. Seshasai Srinivasan and M. Ziad Saghir, "Impact of the vibrations on Soret separation in binary and ternary mixtures", Fluid Dynamics and Material Processing, Vol. 7, pp. 201-216, 2011. (My role: 1f, 2f, 3m).

  2. Seshasai Srinivasan, D. Alonso de Mezquia, Mounir M. Bou-Ali, and M. Ziad Saghir, "Thermodiffusion and Molecular Diffusion in Binary n-alkane Mixtures: Experiments & Numerical Analysis", Philosophical Magazine, Vol. 91, pp. 4322-4344, 2011. (My role: 1e, 2f, 3m).

  3. Seshasai Srinivasan and M. Ziad Saghir, "Thermodiffusion in ternary hydrocarbon mixtures: Part 1 - n-dodecane/ isobutylbenzene/tetralin", Journal of Non-Equilibrium Thermodynamics, Vol. 36, pp. 243-258, 2011. (My role: 1f, 2f, 3m).

  4. Seshasai Srinivasan and M. Ziad Saghir, "Experimental Approaches to Study Thermodiffusion - A Review", International Journal of Thermal Sciences, Vol. 50, pp. 1125-1137, 2011. (My role: 1f, 2f, 3m).

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  1. Seshasai Srinivasan and M. Ziad Saghir, "Thermo-Solutal-Diffusion In High Pressure Liquid Mixtures In the Presence of Micro-Vibrations", International Journal of Thermal Sciences, Vol. 49, pp. 1613-1624, 2010. (My role: 1f, 2f, 3m).

  2. Seshasai Srinivasan and M. Ziad Saghir, "Significance of Equation of State and Viscosity on the Thermodiffusion Coefficients of a Ternary Hydrocarbon Mixture", Journal of High Temperatures-High Pressures, Vol. 39, pp. 65-81, 2010. (My role: 1f, 2f, 3m).

  3. Guillaume Galliero, Seshasai Srinivasan and M. Ziad Saghir, "Estimation of Thermodiffusion in Ternary Alkane Mixtures Using Molecular Dynamics and the Irreversible Thermodynamic Theory", Journal of High TemperaturesHigh Pressures, Vol. 38, pp. 315-328, 2010. (My role: 1e, 2e, 3m).

  4. Jan Macek , Vit Dolecek, Oldrich Vitek, Seshasai Srinivasan and Franz X. Tanner, "Optimization of Engine Control Strategies During Transient Processes Combining 1-D and 3-D Approaches", SAE paper 2010-01-0783, 2010. (My Role: 1e, 2e, 3s).

  5. Stefan Van Vaerenbergh, Quentin Galand, Naim Rahal, M. Ziad Saghir, Seshasai Srinivasan and Abdur Rehman, "DSC (Diffusion and Soret Coefficients) on SODI MSG: A Set of Transport Coefficients in Ternary Organic Liquid Mixtures", IAC conference, pp. IAC-10-D9.2.8, Prague, Czech Republic, 2010. (My Role: 2s, 3s).

  6. Seshasai Srinivasan, M. Touzet and M. Ziad Saghir, "Thermodiffusion of Ternary Hydrocarbon Mixtures in Microgravity", 9th International Meeting on Thermodiffusion, IMT9, Toulouse, France, 2010. (My Role: 2m, 3s).

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  1. Franz X. Tanner and Seshasai Srinivasan,"Computational Optimization of Fuel Injection Strategies in a Diesel Engine Using an Adaptive Gradient Method", Journal of Applied Mathematical Modeling, Vol. 33, No. 3, pp. 1366-1385, 2009. (My role: 1f, 2f, 3e).

  2. Seshasai Srinivasan and M. Ziad Saghir, "Experimental Data on Thermodiffusion in Ternary Hydrocarbon Mixtures", Journal of Chemical Physics, Vol. 131, pp. 124508, 2009. (My role: 1f, 2f, 3m).

  3. Van Vaerenbergh, Seshasai Srinivasan and M. Ziad Saghir, "Thermodiffusion in Multi-Component Hydrocarbon Mixtures: Experimental Investigations and Computational Analysis", Journal of Chemical Physics, Vol. 131, pp. 114505, 2009. (My role: 1f, 2f, 3m).

  4. Seshasai Srinivasan, Franz X. Tanner, Kathleen Feigl and Erich Windhab, "Development of a Solidification Model for Food Sprays", 8th World Congress of Chemical Engineers, Series-Food Processing & Emerging Trends, Vol. FPET1, Montreal, Canada, 2009. (My Role: 1f, 2f, 3f).

  5. Jan Macek, Oldrich Vitek, Vit Dolecek, Seshasai Srinivasan and Franz X. Tanner, "Improved Simulation of Transient Engine Operations at Unsteady Speed Combining 1-D and 3-D Modeling", SAE paper 2009-01-1109, 2009. (My Role: 1e, 2m, 3s).

  6. Seshasai Srinivasan and M. Ziad Saghir, "Influence of Viscosity on the Thermodiffusion Process in Hydrocarbon Mixtures", 8th World Congress of Chemical Engineers, Series- Other Contemporary Topics in Chemical Engineering, Vol. OCPOS, Montreal, Canada, 2009. (My Role: 1f, 2f, 3f).

  7. Seshasai Srinivasan, Tim Althaus, Erich Windhab, Franz X. Tanner and Kathleen Feigl, "Implementation and Validation of a Three-Stage Freezing Model for Food Sprays", Rheological Modeling & Numerical Methods, The International Symposium on Food Rheology and Structure - ISFRS 2009, Swiss Federal Institute of Technology (ETH)- Zurich, Zurich, Switzerland, 2009. (My Role: 1f, 2f, 3f).

  8. Seshasai Srinivasan, Morteza Islamian, Marcus Dejmeck and M. Ziad Saghir, "Estimation of the Thermodiffusion Coefficients for n-Dodecane/n-Butane/Methane Mixtures and Comparison with Experimental Data from Foton M3 Mission", IAC conference, pp. IAC-09-A2.3.1, Korea, 2009. (My Role: 1e, 2f, 3f).

  9. Franz X. Tanner, Seshasai Srinivasan, Tim Althaus, Kathleen Feigl and Erich Windhab, "Modeling and Validation of The Crystallization Process in Food Sprays", 11th Triennial International Conference on Liquid Atomization and Spray Systems (ICLASS), Vail, Colorado, USA, 2009. (My Role: 1m, 2f).

  10. Kathleen Feigl, Franz X. Tanner, Seshasai Srinivasan and Erich Windhab, "Numerical Investigation of Droplet Formation from Pores", Rheological Modeling & Numerical Methods, The International Symposium on Food Rheology and Structure - ISFRS 2009, Swiss Federal Institute of Technology (ETH)-Zurich, Zurich, Switzerland, 2009. (My Role: 3s).

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  1. Seshasai Srinivasan and Christopher Rutland, "Thermal and EGR Component Effects on the Combustion of nHeptane Fuel", SAE paper 2008-01-0951, 2008. (My Role: 1f, 2f, 3f).

  2. Jan Macek, Milos Polacek, Oldrich Vitek, Seshasai Srinivasan and Franz Tanner, "1-D Modeling of Transient Engine Operations Using Data Generated by a CFD Code", SAE paper 2008-01-0357, 2008. (My Role: 1e, 2e, 3s).

  3. Franz Tanner and Seshasai Srinivasan, "Optimization of Asynchronous Fuel Injection System in Diesel Engines by Means of a Micro-Genetic Algorithm and an Adaptive Gradient Method", SAE paper 2008-01-0925, 2008. (My Role: 1f, 2f, 3f).

  4. Jan Macek, Oldrich Vitek, Milos Polacek, M. Valacek, Z. Sika, Seshasai Srinivasan and Franz X. Tanner, "Global and Local Optimization of Transient Diesel Engine Operations by Combined One and Three Dimensional Simulations", Conference on Thermo-and Fluid Dynamic Processes in Diesel Engines, Proc. THIESEL, Valencia, Spain, 2008. (My Role: 1e, 2m).vspace-0.1cm.

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  1. Seshasai Srinivasan and Christopher Rutland," Combustion and Lift-Off Length Characteristics of n-Heptane Sprays Using Direct Numerical Simulations", SAE Paper 2007-01-4136, 2007. (My Role: 1f, 2f, 3f).

  2. Seshasai Srinivasan, Jan Macek, Milos Polacek, and Franz X. Tanner, "Computational Optimization of Split Injection System with EGR and Boost Pressure/Compression Ratio Variations in a Diesel Engine", SAE paper 2007-01- 0168, 2007. (My Role: 1m, 2f, 3m).

  3. Franz X. Tanner, Seshasai Srinivasan, "Global Optimization of a Two-Pulse Fuel Injection Strategy for a Diesel Engine Using Interpolation and a Gradient-Based Method", SAE paper 2007-01-0248, 2007. (My Role: 1f, 2f, 3f).

  4. H. G. Im, A. Trouve, C. J. Rutland, P. G. Arias, P. Narayanan, S. Srinivasan, C. S. Yoo, "Direct Numerical Simulations of Turbulent Counterflow Nonpremixed Flames", SciDAC Conference, Journal of Physics conference series, Boston, USA, 2007. (My Role: 1s, 2s).

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  1. Seshasai Srinivasan, Franz X. Tanner, Jan Macek and Milos Polacek,"Computational Optimization of Split Injections and EGR in a Diesel Engine Using an Adaptive Gradient-Based Algorithm", SAE Paper 2006-01-0059, 2006. (My Role: 1m, 2f, 3m).vspace-0.1cm

  2. Franz X. Tanner and Seshasai Srinivasan, "Gradient-Based Optimization of a Multi-Orifice Asynchron Injection System in a Diesel Engine Using an Adaptive Cost Function", SAE Paper 2006-01-1551, 2006. (My Role: 1f, 2f, 3f).

  3. Seshasai Srinivasan and Franz X. Tanner, "An investigation of the gradient determining strategies for the optimization of the split injection using a multi-dimensional CFD code", Sixteenth International Multidimensional Engine Modeling User's Group Meeting, Detroit, USA, 2006. (My Role: 1f, 2f, 3f).

  4. Franz X. Tanner and Seshasai Srinivasan, "Optimization of Diesel Engines by Means of Multi-Orifice Asynchronous Fuel Injection", Proc. 19th ILASS-Americas Annual Conference, Toronto, Canada, 2006. (My Role: 1f, 2f, 3f).

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  1. Franz X. Tanner and Seshasai Srinivasan, "Optimization of Fuel Injection Configurations for the Reduction of Emissions and Fuel Consumption in a Diesel Engine Using a Conjugate Gradient Method", SAE Paper 2005-01- 1244, 2005. (My Role: 1f, 2f, 3f).

  2. Seshasai Srinivasan and Franz X. Tanner, "A Conjugate Gradient Algorithm Applied to the Optimization of Split Injections for the Reduction of Emissions and Fuel Consumption in a Diesel Engine", Fifteenth International Multidimensional Engine Modeling User's Group Meeting, Detroit, USA, 2005. (My Role: 1f, 2f, 3f).

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  1. Seshasai Srinivasan,"Satellites", Spectrum 2000 at BVCOE College of Engineering, Bombay University, Bombay, India, 2000.

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  1. Seshasai Srinivasan, "Artificial Intelligence", Spectrum 99 at BVCOE College of Engineering, Bombay University, Bombay, India, 1999.

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