Chaitanya Krishna Vallabh

• Ph.D. (2017) Clarkson University (Mechanical Engineering)
• M.S. (2014) Clarkson University (Mechanical Engineering)
• Bachelor of Technology (2012) Vignan's Institute of Technology and Aeronautical Engineering (Aeronautical Engineering)

• StevensChefs LLC Member
• Undergraduate Convocation Member
• ME Senior Design Chair
• ME Senior Design Member
• Admitted Students Weekend Member
• ME Admitted Students Weekend Member
• Senior Design Chair
• Senior Design Member
• ME Industry Outreach Committee Member
• Mechanical Engineering Admitted Students Weekend Member
• ME AI Taskforce committee Member
• Senior Design Member
• Senior Design Chair
• Mechanical Engineering Admitted Students Weekend Member

• ASEE – American Society for Engineering Education Member
• Adhesion Society Member
• ASME – American Society of Mechanical Engineers Member

Conference Proceeding

1. Vallabh, C.; Fontaine, M. (2026). CRI: Hands-on activities designed to enhance comprehensive understanding of Statics concepts. 2026 ASEE Annual Conference \& Exposition.
2. Fontaine, M.; Vallabh, C. (2026). The Role of Geometry Skills in Statics Problem Solving. 2026 ASEE Annual Conference \& Exposition.
3. Fontaine, M.; Vallabh, C. (2025). Effects of Spatial Ability on the Mastery of Statics Concepts. 2025 ASEE Annual Conference \& Exposition.
4. Vallabh, C.; Akhavan, J.; Manoochehri, S. (2025). Enhancing Surface Quality in Hybrid FFF Using Real-Time Monitoring and Point Cloud Analysis (vol. Vol. 89206). International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
5. Vallabh, C.; Vusugi, S.; Manoochehri, S. (2025). Multi-Sensor 3D Inspection System for Enhanced Manufacturing Quality (vol. Vol. 89237). International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
6. Akhavan, J.; Vallabh, C. K.; Manoochehri, S. (2025). ENHANCING SURFACE QUALITY IN HYBRID FFF USING REAL-TIME MONITORING AND POINT CLOUD ANALYSIS. Proceedings of the ASME Design Engineering Technical Conference (vol. 2-A).
7. Vasugi, S. D.; Vallabh, C.; Manoochehri, S. (2025). MULTI-SENSOR 3D INSPECTION SYSTEM FOR ENHANCED MANUFACTURING QUALITY. Proceedings of the ASME Design Engineering Technical Conference (vol. 3B-2025).
8. Mahmoud, Y.; Lyu, J.; Vallabh, C.; Manoochehri, S. (2024). Melt Pool Depth Prediction in Directed Energy Deposition Single-Track Prints Using Point Cloud Analysis. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (vol. 88346, pp. V02AT02A024).
9. Akhavan, J.; Xu, K.; Vallabh, C.; Manoochehri, S. (2024). Real-Time Print Tracking in Metal Additive Manufacturing Using Acoustic Emission Sensors and Vision Transformer Algorithms. Volume 2: Manufacturing Equipment and Automation; Manufacturing Processes; Manufacturing Systems; Nano/Micro/Meso Manufacturing; Quality & Reliability (pp. V002T07A009). American Society of Mechanical Engineers.
   https://doi.org/10.1115/msec2024-125391.
10. Fontaine, M.; Vallabh, C. (2024). Correlating Common Errors in Statics Problem Solving with Spatial Ability. 2024 ASEE Annual Conference \& Exposition.
11. Caputo, A.; Neu, R. W.; Vallabh, C.; Zhao, X.; Zhang, H. (2023). Investigating the Influence of Build Parameters and Porosity on Fatigue of AM IN718. TMS Annual Meeting \& Exhibition (pp. 571--591).
12. Lyu, J.; Akhavan, J.; Mahmoud, Y.; Xu, K.; Vallabh, C.; Manoochehri, S. (2023). Real-Time Monitoring and Gaussian Process-Based Estimation of the Melt Pool Profile In Direct Energy Deposition. International Manufacturing Science and Engineering Conference. ASME.
13. Lyu, J.; Akhavan, J.; Mahmoud, Y.; Xu, K.; Vallabh, C.; Manoochehri, S.. Real-Time Monitoring and Gaussian Process-Based Estimation of the Melt Pool Profile In Direct Energy Deposition. International Manufacturing Science and Engineering Conference. ASME.

Journal Article

1. Cetinkaya, C.; Bazzocchi, M.; Dave, V. S.; Halkude, B.; Hussain, A. S.; Vallabh, C.; Razavi, S. M.; Stephens, J.; Steiner, R.; Sultan, T. (2026). A review of the State-of-the-Art: progress in ultrasonic and acoustic techniques for quality assessment in the development and manufacturing of oral solid dosage forms - Part II: Applications and emerging directions. International Journal of Pharmaceutics (vol. 698). 10.1016/j.ijpharm.2026.126925.
2. Zhang, H.; Caputo, A. N.; Neu, R. W.; Vallabh, C.; To, A. C.; Alam, M. J.; Zhao, X. (2026). Process-agnostic multi-metric nondestructive characterization of porosity in additive manufacturing via specialized single-camera two-wavelength pyrometry. Additive Manufacturing (vol. 127).
3. Liu, Y.; Zhang, H.; Vallabh, C. K.; Wiezorek, J. M.; Zhao, X. (2026). Integrating in-situ two-wavelength pyrometry with thermal field modeling to elucidate solidification microstructure in LPBF of IN718. International Journal of Advanced Manufacturing Technology (9-10 ed., vol. 144, pp. 7549-7566).
4. Cetinkaya, C.; Bazzocchi, M.; Dave, V. S.; Halkude, B.; Hussain, A. S.; Vallabh, C.; Razavi, S. M.; Stephens, J.; Steiner, R.; Sultan, T. (2025). A review of the state-of-the-art: progress in ultrasonic and acoustic techniques for quality assessment in the development and manufacturing of oral solid dosage forms- Part I: theoretical foundations and principles. International journal of pharmaceutics (pp. 126429). Elsevier.
5. Xu, K.; Vallabh, C.; Manoochehri, S. (2025). Integrating machine learning with multimodal monitoring system utilizing acoustic and vision sensing to evaluate geometric variations in laser directed energy deposition. The International Journal of Advanced Manufacturing Technology (7 ed., vol. 141, pp. 4335--4359). Springer London.
6. Xu, K.; Vallabh, C.; Manoochehri, S. (2025). Integrating Machine Learning with Multimodal Monitoring System Utilizing Acoustic and Vision Sensing to Evaluate Geometric Variations in Laser Directed Energy Deposition. arXiv.
   https://doi.org/10.21203/rs.3.rs-7435959/v1.
7. Mahmoud, Y.; Muralidhar, N.; Vallabh, C.; Manoochehri, S. (2025). Sim-to-Real Transfer Learning for Real-Time Melt Pool Geometry Prediction in Directed Energy Deposition. SSRN. Elsevier BV.
   https://doi.org/10.2139/ssrn.5622646.
8. Xu, K.; Mahmoud, Y.; Manoochehri, S.; Vallabh, C. (2025). Using acoustic emission signal analysis and machine learning algorithms for predicting mechanical hardness in laser directed energy deposition parts. The International Journal of Advanced Manufacturing Technology (pp. 1--20). Springer London London.
9. Xu, K.; Vallabh, C. K.; Manoochehri, S. (2025). Integrating machine learning with multimodal monitoring system utilizing acoustic and vision sensing to evaluate geometric variations in laser directed energy deposition. International Journal of Advanced Manufacturing Technology (7-8 ed., vol. 141, pp. 4335-4359).
10. Xu, K.; Mahmoud, Y.; Manoochehri, S.; Vallabh, C. K. (2025). Using acoustic emission signal analysis and machine learning algorithms for predicting mechanical hardness in laser directed energy deposition parts. International Journal of Advanced Manufacturing Technology (9 ed., vol. 138, pp. 4455-4474).
11. Akhavan, J.; Vallabh, C.; Zhao, X.; Manoochehri, S. (2024). Binocular Model: A deep learning solution for online melt pool temperature analysis using dual-wavelength Imaging Pyrometry. arXiv preprint arXiv:2408.11126.
12. Zhang, H.; Caputo, A. N.; Vallabh, C.; Zhang, H.; Neu, R. W.; Zhao, X. (2024). Evaluating and correlating multimodal process dynamics, microstructure features, and mechanical properties in laser powder bed fusion. Journal of Manufacturing Processes (vol. 127, pp. 511--530). Elsevier.
13. Zhang, H.; Caputo, A. N.; Vallabh, C. K.; Zhang, H.; Neu, R. W.; Zhao, X. (2024). Evaluating and correlating multimodal process dynamics, microstructure features, and mechanical properties in laser powder bed fusion. Journal of Manufacturing Processes (vol. 127, pp. 511-530).
14. Vallabh, C. (2024). Melt Pool Width Measurement in a Multi-Track, Multi-Layer Laser Powder Bed Fusion Print Using Single-Camera Two-Wavelength Imaging Pyrometry. The International Journal of Advanced Manufacturing Technology (vol. 132, pp. 2575–2585). Springer.
    https://link.springer.com/article/10.1007/s00170-024-13486-y.
15. Zhang, H.; Vallabh, C.; Zhao, X. (2023). Influence of Spattering on In-process Layer Surface Roughness during Laser Powder Bed Fusion. arXiv preprint arXiv:2303.00272.
16. Zhang, H.; Vallabh, C.; Zhao, X. (2023). Machine learning enhanced high dynamic range fringe projection profilometry for in-situ layer-wise surface topography measurement during LPBF additive manufacturing. Precision Engineering (vol. 84, pp. 1--14). Elsevier.
17. Vallabh, C.; Manoochehri, S. (2023). Dataset of in-situ coaxial monitoring and print’s cross-section images by Direct Energy Deposition fabrication.
    https://www.nature.com/articles/s41597-023-02672-4.
18. Zhang, H.; Vallabh, C.; Zhao, X. (2023). Influence of spattering on in-process layer surface roughness during laser powder bed fusion. Journal of Manufacturing Processes (vol. 104, pp. 289-306). Elsevier BV.
    http://dx.doi.org/10.1016/j.jmapro.2023.08.058.
19. Zhang, H.; Vallabh, C.; Zhao, X. (2022). Registration and fusion of large-scale melt pool temperature and morphology monitoring data demonstrated for surface topography prediction in LPBF. Additive Manufacturing (vol. 58, pp. 103075). Elsevier.

posted-content

1. Xu, K.; Vallabh, C.; Manoochehri, S. (2025). Integrating Machine Learning with Multimodal Monitoring System Utilizing Acoustic and Vision Sensing to Evaluate Geometric Variations in Laser Directed Energy Deposition. arXiv.
   https://doi.org/10.21203/rs.3.rs-7435959/v1.
2. Mahmoud, Y.; Muralidhar, N.; Vallabh, C.; Manoochehri, S. (2025). Sim-to-Real Transfer Learning for Real-Time Melt Pool Geometry Prediction in Directed Energy Deposition. SSRN. Elsevier BV.
   https://doi.org/10.2139/ssrn.5622646.