Nicholas May

Assistant Professor, Mechanical Engineering

Dr. Nicholas May obtained his PhD in biomedical engineering from the University of Connecticut and M.S and B.S in mechanical engineering from Manhattan College. His research focuses on next generation nano machining and imaging using femtosecond lasers combined with machine learning and gas assisted processing. His research is applied through device fabrication, reverse engineering, failure analysis, and 3D tomogrpahy. 

Courses Taught

  • ENGS 115: Introduction to Engineering
  • ENGS 201: Materials Science
  • ENGS 202: Materials Science Laboratory
  • MECH 211: Technical and Graphical Communication
  • Research
    • Femto-Second Laser Machining and Manufacturing: Development and design of systems capable of micro to nano scale laser machining purposed for precise manufacturing or geometric alteration
    • Femto-Second Laser Tomography: Production of high throughput large scale (millimeter-centimeter) cross-sectioning enabling large scale three-dimensional datasets at micro to nanometer resolutions
    • Correlative Microscopy: Develop techniques to enhance and enable workflows for in depth inspection and quantification of materials and systems across a length scale from millimeters to nanometers
    • Femto-second Laser Material Interaction and Gas-assisted Processing 
    • Utilization of Laser and Imaging Systems for 3D Tomography, Surface Adaptive Laser Machining, Subtractive Machining, Reverse Engineering, and Failure Anlysis 
  • Publications and Scholarly Activities
    1. Nicholas May, Hongbin Choi, Valery Ray, Pouya Tavousi, Sina Shahbazmohamadi, and Adrian Phoulady. "System and method of detecting or predicting materials in microelectronic devices and laser-based machining techniques with co2 assisted processing." U.S. Patent Application 18/160,986, filed August 3, 2023
    2. Hoveida, Pouria, Adrian Phoulady, Hongbin Choi, Nicholas May, Sina Shahbazmohamadi, and Pouya Tavousi. "Terahertz-readable laser engraved marks as a novel solution for product traceability." Scientific Reports13, no. 1 (2023): 12474. https://doi.org/10.1038/s41598-023-39586-5
    3. Phoulady, Adrian, Hongbin Choi, Nicholas May, Sina Shahbazmohamadi, and Pouya Tavousi. "Synthetic Data for Deep Learning: Segmentation of PCB X-Ray Images." (2023): 1897-1897. https://doi.org/10.1093/micmic/ozad067.979
    4. Hoveida, Pouria, Adrian Phoulady, Hongbin Choi, Nicholas May, Sina Shahbazmohamadi, and Pouya Tavousi., Terahertz Readable Laser Tags for Information Storage and Traceability, Microscopy and Microanalysis, Volume 29, Issue Supplement_1, 1 August 2023, Page 818, https://doi.org/10.1093/micmic/ozad067.406
    5. Choi, Hongbin, Adrian Phoulady, Pouria Hoveida, Nicholas May, Sina Shahbazmohamadi, and Pouya Tavousi. "Intelligent Ultrashort Pulsed Laser Machining Using Laser-Induced Breakdown Spectroscopy." (2023): 2014-2014, https://doi.org/10.1093/micmic/ozad067.1042
    6. May, Nicholas, Hongbin Choi, Adrian Phoulady, Shahram Amini, Pouya Tavousi, and Sina Shahbazmohamadi. "Gas-assisted femtosecond pulsed laser machining: A high-throughput alternative to focused ion beam for creating large, high-resolution cross sections." Plos one18, no. 5 (2023): https://doi.org/10.1371/journal.pone.0285158
    7. Amini, Shahram, Wesley Seche, Nicholas May, Hongbin Choi, Pouya Tavousi, and Sina Shahbazmohamadi.“Femtosecond laser hierarchical surface restructuring for next generation neural interfacing electrodes and microelectrode arrays.” Scientific Reports 12, 13966 (2022). https://doi.org/10.1038/s41598-022-18161-4 
    8. Nicholas May, Phoulady, Adrian, Hongbin Choi, Yara Suleiman, Sina Shahbazmohamadi, and Pouya Tavousi. "Rapid high-resolution volumetric imaging via laser ablation delayering and confocal imaging." Scientific Reports 12, no. 1 (2022): 1-16. https://doi.org/10.1038/s41598-022-16519-2
    9. Nicholas May, Hongbin Choi, Adrain Phoulandy, Pouya Tavousi, Sina Shahbazmohamadi, “Rapid three-dimensional reconstruction of printed circuit board using femtosecond laser delayering and digital microscopy” Microelectronics Reliability, 2022, 114659, ISSN 0026-2714
      https://doi.org/10.1016/j.microrel.2022.114659
    10. Nicholas May, Hongbin Choi, Adrian Phoulady, Yara Suleiman, Daniel DiMase, Pouya Tavousi, Sina Shahbazmohamadi, “Correlative multimodal imaging and targeted lasering for automated high-precision IC decapsulation” Microelectronics Reliability,2022, 114660, ISSN 0026-2714,
      https://doi.org/10.1016/j.microrel.2022.114660
    11. Nicholas May, Adrian Phoulady, Hongbin Choi, Pouya Tavousi, and Sina Shahbazmohamadi. "Single Image Composite Tomography Utilizing Large Scale Femtosecond Laser Cross-sectioning and Scanning Electron Microscopy." Microscopy and Microanalysis28, no. S1 (2022): 876-878.
    12. Suleiman, Yara, Nicholas May, Mi Zhang, Aiden Zhu, Shawn Zhang, Jeffrey McCutcheon, and Sina Shahbazmohamadi. "In-situ 3D X-ray Tomography and Analysis of Reverse Osmosis Membranes Under Compaction." Microscopy and Microanalysis28, no. S1 (2022): 270-271.
    13. Nicholas May, Hongbin Choi, Adrian Phoulady, Pouya Tavousi, and Sina Shahbazmohamadi. "Three-Dimensional Reconstruction of Printed Circuit Boards: Comparative Study between 3D Femtosecond Laser Serial Sectioning and Optical Imaging versus 3D X-Ray Computed Tomography." Microscopy and Microanalysis28, no. S1 (2022): 284-286.
    14. Adrian Phoulady, Nicholas May, Hongbin Choi, Sina Shahbazmohamadi, Pouya Tavousi, “A novel material detection method using femtosecond laser, confocal imaging and image processing enabling endpointing in fast inspection of microelectronics” Microelectronics Reliability, Volume 126,2021,114287,ISSN 0026-2714, https://doi.org/10.1016/j.microrel.2021.114287
    15. Choi, Hongbin, Adrian Phoulady, Nicholas May, Sina Shahbazmohamadi, and Pouya Tavousi. "Material prediction from confocal images of lasered samples." Microscopy and Microanalysis27, no. S1 (2021): 2754-2755.
    16. Phoulady, Adrian, Hongbin Choi, Nicholas May, Bahar Ahmadi, Pouya Tavousi, and Sina Shahbazmohamadi. "Model for predicting surface properties of lasered samples." Microscopy and Microanalysis27, no. S1 (2021): 3186-3189.
    17. Konnik, Matthew, Bahar Ahmadi, Nicholas May, Joseph Favata, Zahra Shahbazi, Sina Shahbazmohamadi, and Pouya Tavousi. "Training AI-Based Feature Extraction Algorithms, for Micro CT Images, Using Synthesized Data." Journal of Nondestructive Evaluation40, no. 1 (2021): 1-13.
    18. Nicholas May, Joseph Favata, Bahar Ahmadi, Pouya Tavousi, and Sina Shahbazmohamadi. "Correlative microscopy workflow for precise targeted failure analysis of multi-layer ceramic capacitors." Microelectronics Reliability114 (2020): 113858.https://doi.org/10.1016/j.microrel.2020.113858
    19. Rodnova, Zhanna, Tobias Saule, Richard Sadlon, Edward McManus, Nicholas May, Xiaoming Yu, Sina Shahbazmohamadi, and Carlos A. Trallero-Herrero. "Generation and control of phase-locked Bessel beams with a persistent noninterfering region." JOSA B37, no. 11 (2020): 3179-3183.
    20. Tavousi, Pouya, Bahar Ahmadi, Nicholas May, Sunshine Snider-Drysdale, Zahra Shahbazi, Daniel Di Mase, and Sina Shahbazmohamadi. "A New Fast Helium Ion Imaging Technique Through Rapid Acquiring and Restoring Using the Point Spread Function Deconvolution Method." Microscopy and Microanalysis26, no. S2 (2020): 1728-1731.
    21. Konnik, Matthew, Bahar Ahmadi, Nicholas May, Joseph Favata, Zahra Shahbazi, Sina Shahbazmohamadi, and Pouya Tavousi. "AI-based Feature Detection in X-ray-CT Images Using Synthesized Data." Microscopy and Microanalysis26, no. S2 (2020): 2116-2120.
    22. Nicholas May and Sina Shahbazmohamadi. "Femtosecond Laser decapsulation of micro-electronics Including parameter study and redeposition control." In 2019 Conference on Lasers and Electro-Optics (CLEO), pp. 1-2. IEEE, 2019.
    23. Celentano, Frank, Richard DiPasquale, Edward Simoneau, Nicholas May, Zahra Shahbazi, and Sina Shahbazmohamadi. "Reverse engineering and geometric optimization for resurrecting antique saxophone sound using micro-computed tomography and additive manufacturing." Journal of Computing and Information Science in Engineering17, no. 3 (2017).
    24. Celentano, Frank, Nicholas May, Edward Simoneau, Richard DiPasquale, Zahra Shahbazi, and Sina Shahbazmohamadi. "3D printing for manufacturing antique and modern musical instrument parts." In ASME International Mechanical Engineering Congress and Exposition, vol. 50688, p. V014T07A003. American Society of Mechanical Engineers, 2016.