Curriculum Vitae

Brian D'Alessandro



Education

  • Doctor of Philosophy in Computer Engineering
    New Jersey Institute of Technology, Newark, NJ, 2012
    Dissertation: Multispectral Imaging of Skin Lesions for Volumetric Chromophore Quantification

  • Master of Science in Computer Engineering
    New Jersey Institute of Technology, Newark, NJ, 2009

  • Bachelor of Science in Computer Engineering
    New Jersey Institute of Technology, Newark, NJ, 2008
    Minor in Computer Science

Patents

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Brian D'Alessandro, "Methods and apparatus for identifying skin features of interest," US Patent #11,164,670, November 2021.

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Brian D'Alessandro, Paul Matts, "Methods and apparatuses for age appearance simulation," US Patent #10,614,623, April 2020.

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Douglas Canfield, Mani Thomas, Zhen Lyu, Brian D'Alessandro, Daniel DiGregorio "Hair analysis methods and apparatuses," US Patent Application US20200383631A1, December 2020.

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Publications

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Chantal Rutjes, Adam Mothershaw, Brian M. D'Alessandro, Clare A. Primiero, Aideen McInerney-Leo, H. Peter Soyer, Monika Janda, Brigid Betz-Stablein, "Combining Automated Lesion Risk and Change Assessment Improves Melanoma Detection: A Retrospective Accuracy Study," Journal of Investigative Dermatology, (Article in Press), September 7, 2024, DOI: 10.1016/j.jid.2024.07.027

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Nicholas R. Kurtansky, Brian M. D'Alessandro, Maura C. Gillis, Brigid Betz-Stablein, Sara E. Cerminara, Rafael Garcia, Marcela Alves Girundi, Elisabeth Victoria Goessinger, Philippe Gottfrois, Pascale Guitera, Allan C. Halpern, Valerie Jakrot, Harald Kittler, Kivanc Kose, Konstantinos Liopyris, Josep Malvehy, Victoria J. Mar, Linda K. Martin, Thomas Mathew, Lara Valeska Maul, Adam Mothershaw, Alina M. Mueller, Christoph Mueller, Alexander A. Navarini, Tarlia Rajeswaran, Vin Rajeswaran, Anup Saha, Maithili Sashindranath, Laura Serra-García, H. Peter Soyer, Georgios Theocharis, Ayesha Vos, Jochen Weber, Veronica Rotemberg, "The SLICE-3D dataset: 400,000 skin lesion image crops extracted from 3D TBP for skin cancer detection," Scientific Data (Nature Research), vol. 11, article number 884, August 14, 2024, DOI: 10.1038/s41597-024-03743-w

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Alyce Mei-Shiuan Kuo, Rachel E. Reingold, Kwami F. Ketosugbo, Alexander Pan, Lukas Kraehenbuehl, Stephen Dusza, Devika Gajria, Diana E. Lake, Jacqueline F. Bromberg, Tiffany A. Traina, Monica N. Fornier, Ayca Gucalp, Brian M. D'Alessandro, Veronica Rotemberg, Megan Dauscher, Jerry Shapiro, Shari B. Goldfarb, Alina Markova, Mario E. Lacouture, "Oral minoxidil for late alopecia in cancer survivors," Breast Cancer Research and Treatment, August 4, 2024, DOI: 10.1007/s10549-024-07440-5

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Clare A. Primiero, Brigid Betz-Stablein, Nathan Ascott, Brian D'Alessandro, Seraphin Gaborit, Paul Fricker, Abigail Goldsteen, Sandra González-Villà, Katie Lee, Sana Nazari, Hang Nguyen, Valsamis Ntouskos, Frederik Pahde, Balázs E. Pataki, Josep Quintana, Susana Puig, Gisele G. Rezze, Rafael Garcia, H. Peter Soyer, Josep Malvehy, "A protocol for annotation of total body photography for machine learning to analyze skin phenotype and lesion classification," Frontiers in Medicine, vol. 11, no. 2024, April 9, 2024. DOI: 10.3389/fmed.2024.1380984

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Z. Paul Lorenc, Stacy Smith, Lawrence S. Bass, David Bank, Robert Weiss, Doug Canfield, Brian M. D'Alessandro, Lisa M. Cramer, "Validating the Reliability and Clinical Relevance of a Nasolabial Fold Photonumeric Scale," Journal of Drugs in Dermatology (JDD), vol. 23, no. 1, pp. 1284-1291, January 2024. DOI:10.36849/JDD.7316

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Z. Paul Lorenc, Stacy Smith, Lawrence S. Bass, David Bank, Robert Weiss, Doug Canfield, Brian M. D'Alessandro, Lisa M Cramer, "Validating the Reliability and Clinical Relevance of an Infraorbital Hollow Photonumeric Scale," Aesthetic Surgery Journal Open Forum, Volume 5, 2023, ojad052, DOI: 10.1093/asjof/ojad052

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Michael A. Marchetti, Zaeem H. Nazir, Japbani K. Nanda, Stephen W. Dusza, Brian D'Alessandro, Jennifer DeFazio, Allan C. Halpern, Veronica M. Rotemberg, Ashfaq A. Marghoob, "3D Whole-body skin imaging for automated melanoma detection," Journal of the European Academy of Dermatology and Venereology, vol. 37, no. 5, pp. 945-950, May 2023. DOI: 10.1111/jdv.18924

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Brigid Betz-Stablein, Brian D'Alessandro, Uyen Koh, Elsemieke Plasmeijer, Monika Janda, Scott W. Menzies, Rainer Hofmann-Wellenhof, Adele C. Green, H. Peter Soyer, "Reproducible Naevus Counts Using 3D Total Body Photography and Convolutional Neural Networks," Dermatology, vol. 238, no. 1, pp. 4-11, January 2022. DOI: 10.1159/000517218

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Paul J. Matts, Doug Canfield, Brian D'Alessandro, "A New Model to Simulate Human Facial Appearance, Accurately, and Realistically, across Age and Ethnicity", Plastic and Reconstructive Surgery, vol. 148, no. 6S, pp. 14S-20S, December 2021, DOI: 10.1097/PRS.0000000000008781

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Jarek P. Sacha, Tamara L. Caterino, Brian K. Fisher, Gregory J. Carr, R. Scott Youngquist, Brian D'Alessandro, Anthony Melione, Douglas Canfield, Wilma F. Bergfeld, Melissa P. Piliang, Raghu Kainkaryam, Michael G. Davis, "Development and qualification of a machine learning algorithm for automated hair counting," International Journal of Cosmetic Science, vol. 43, no. S1, pp. S34-S41, November 2021, DOI: 10.1111/ics.12735

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Oriol Yélamos, Rafael Garcia, Brian D'Alessandro, Mani Thomas, Sachin Patwardhan, Josep Malvehy, "Understanding Color" In: Pasquali P. (eds) Photography in Clinical Medicine. Springer, Cham. December 10, 2020. https://doi.org/10.1007/978-3-030-24544-3_8

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S. V. Patwardhan, B. D'Alessandro, M. Thomas, S. D. Kastner, D. DaSilva, "OLÉ: Facial Imaging System with Overhead Lighting Environment," White Paper, R&D and Technical Applications, Canfield Scientific, Inc., November 2016.

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Gabor Dobos, Carina Trojahn, Brian D'Alessandro, Sachin Patwardhan, Douglas Canfield, Ulrike Blume-Peytavi, Jan Kottner, "Effects of intrinsic aging and photodamage on skin dyspigmentation: an explorative study," Journal of Biomedical Optics, vol. 21, no. 6, 066016, June 2016. DOI: 10.1117/1.JBO.21.6.066016

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G. Dobos, C. Trojahn, A. Lichterfeld, B. D'Alessandro, S. V. Patwardhan, D. Canfield, U. Blume-Peytavi and J. Kottner, "Quantifying dyspigmentation in facial skin ageing: an explorative study," International Journal of Cosmetic Science, vol. 37, no. 5, pp. 542–549, 2015. DOI: 10.1111/ics.12233

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Brian D'Alessandro, Atam P. Dhawan, "3-D Volume Reconstruction of Skin Lesions for Melanin and Blood Volume Estimation and Lesion Severity Analysis," IEEE Transactions on Medical Imaging, vol. 31, no. 11, pp. 2083-2092, 2012. DOI: 10.1109/TMI.2012.2209434

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Brian D'Alessandro, Atam P. Dhawan, "Transillumination Imaging for Blood Oxygen Saturation Estimation of Skin Lesions," IEEE Transactions on Biomedical Engineering, vol. 59, no. 9, pp. 2660-2667, 2012. DOI: 10.1109/TBME.2012.2209647

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Brian D'Alessandro, Atam P. Dhawan, "Blood Oxygen Saturation Estimation in Transilluminated Images of Skin Lesions," in Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012), Hong Kong, Shenzhen, China, January 5-7, 2012. DOI: 10.1109/BHI.2012.6211686

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Brian D'Alessandro, Mark Madsen, Ehsan Samei, Xiang Li, Jin Wooi-Tan, Kevin S. Berbaum, Kevin Schartz, Robert Caldwell, Lionel S. Zuckier, "Synthetic Positron Emission Tomography-Computed Tomography Images for Use in Perceptual Studies," Seminars in Nuclear Medicine, vol. 41, no. 6, pp. 437-448, 2011. DOI: 10.1053/j.semnuclmed.2011.06.007

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Brian D'Alessandro, Atam P. Dhawan, "Voxel-Based, Parallel Simulation of Light in Skin Tissue for the Reconstruction of Subsurface Skin Lesion Volumes," in Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '11), Boston, MA, August 30 - September 3, 2011, pp. 8448-8451. DOI: 10.1109/IEMBS.2011.6092084

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Brian D'Alessandro, Atam P. Dhawan, Nizar Mullani, "Computer Aided Analysis of Epi-illumination and Transillumination Images of Skin Lesions for Diagnosis of Skin Cancers," in Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '11), Boston, MA, August 30 - September 3, 2011, pp. 3435-3438. DOI: 10.1109/IEMBS.2011.6090929

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Atam P. Dhawan, Brian D'Alessandro, Xiaolei Fu, "Optical Imaging Modalities for Biomedical Applications," IEEE Reviews in Biomedical Engineering, vol. 3, pp. 69-92, 2010. DOI: 10.1109/RBME.2010.2081975

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Brian D'Alessandro, Atam P. Dhawan, "Depth-Dependent Hemoglobin Analysis from Multispectral Transillumination Images," IEEE Transactions on Biomedical Engineering, vol. 57, no. 10, pp. 2568-2571, 2010. DOI: 10.1109/TBME.2010.2059025

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Brian D'Alessandro, Atam P. Dhawan, "Multispectral Transillumination Imaging of Skin Lesions for Oxygenated and Deoxygenated Hemoglobin Measurement," in Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '10), Buenos Aires, Argentina, August 31 - September 4, 2010, pp. 6637-6640. DOI: 10.1109/IEMBS.2010.5627145

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Brian D'Alessandro, Yun Q. Shi, "MP3 Bit Rate Quality Detection through Frequency Spectrum Analysis," in Proceedings of the 11th ACM Workshop on Multimedia and Security (MM&Sec '09), Princeton, NJ, September 7-8, 2009, pp. 57-62. DOI: 10.1145/1597817.1597828

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Atam P. Dhawan, Brian D'Alessandro, Sachin Patwardhan, Nizar Mullani, "Multispectral Optical Imaging of Skin-Lesions for Detection of Malignant Melanomas," in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '09), Minneapolis, MN, September 3-6, 2009, pp. 5352-5355. DOI: 10.1109/IEMBS.2009.5334045

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Atam P. Dhawan, Brian D'Alessandro, "Multi-Parameter Segmentation Of Brain Images," in Proceedings of the 4th International IEEE/EMBS Conference on Neural Engineering (NER '09), Antalya, Turkey, April 29 - May 2, 2009, pp. 222-225. DOI: 10.1109/NER.2009.5109273

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Roberto Rojas-Cessa, Lakshmi Ramesh, Ziqian Dong, Brian D'Alessandro, and Nirwan Ansari, "Implementation of a Parallel-Search Trie-Based Scheme for Fast IP Lookup," in Proceedings of the IASTED international Conference on Communication Systems, Networks, and Applications, Beijing, China, October 8-10, 2007, pp. 54-56. URL: https://dl.acm.org/citation.cfm?id=1650270.1650281

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Skills

Subjects
Deep Learning, Artificial Intelligence, Computer Vision, Image Analysis, Image Processing, Genetic Algorithms, Monte Carlo Simulation, Data Analysis, Classification, Computer Graphics, Front & Backend Website Design
Languages
C++, Python, MATLAB, HTML, CSS, R, PHP, MySQL
Tools
OpenCV, TensorFlow, caffe, Django, Version Control Software, TBB, CUDA
Applications
Microsoft Office; Adobe Photoshop, Illustrator, Premiere; Weka
Recreational
Reading, Guitar, Piano, Snowboarding, Photography, Computer Graphics, Chess, Scrabble, Juggling

Professional Experience

  • 2011-present: Principal Scientist / Image Analysis Research Scientist - R&D, Canfield Scientific, Parsippany, NJ
    • Developed unique and innovative image analysis, computer vision, artificial intelligence, and deep learning algorithms for skin feature detection and measurement, skin lesion analysis, and other cosmetic and clinical applications
    • Developed accurate algorithms for automatically detecting, segmenting, and quantifying features such as: eyelashes, teeth, wrinkles, pores, porphyrin, pigmentation, hair, color evenness, & skin lesions
    • Provided image analysis solutions for clinical trials in the pharmaceutical industry to demonstrate product and drug efficacy, as well as preclinical research in dermatology

  • 2009-2011: Doctoral Candidate - Dept. of Electrical & Computer Engineering, New Jersey Institute of Technology, Newark, NJ
    • Research in multispectral imaging of skin lesions for early detection of skin cancers
    • Developed a parallel processing simulation of light propagation in skin tissue
    • Performed image feature extraction and selection for the classification of skin lesion severity
    • Developed a skin phantom to test the proposed methods
    • Goal of research is to reconstruct the depth, blood volume, and chromophore distribution of suspected skin lesions for early detection and diagnosis of skin cancer

  • 2009-2011: Teaching Assistant - Dept. of Electrical & Computer Engineering, New Jersey Institute of Technology, Newark, NJ
    • Instructor for ECE 395 Microprocessor Lab. Taught 117 students over eight classes
    • Taught topics in assembly language programming & debugging, memory & register viewing, hardware interfacing
    • Conducted lectures on MATLAB, image processing, and state machine design
    • Selected for the Outstanding Teaching Assistant Award for 2010

  • 2009-2010: Research Assistant - Radiology Department, University of Medicine and Dentistry of New Jersey, Newark, NJ
    • Researched & analyzed 3D PET images of liver cancer for lesion classification in collaboration with a fourth year medical student
    • Investigated the artificial generation of fake PET lesions and backgrounds for medical image perception validation

  • 2008: Software Engineering Intern – TPF Development, IBM, Poughkeepsie, NY
    • Developed a driver on Linux to communicate with a server running on the IBM z/TPF operating system. Used sockets in C to send messages over TCP and UDP between systems
    • Joined & collaborated with the Communications team on a new cryptography project. Wrote and tested a C function to import a symmetric key that was wrapped by a public key, decrypt that symmetric key using a private key, then add that symmetric key to a database of keys
    • Developed a driver to stress test a mainframe system for the New York Police Department

  • 2007: Research Scholar - Dept. of Electrical & Computer Engineering, New Jersey Institute of Technology, Newark, NJ
    • Researched & studied nine existing packet classification algorithms for routing hardware
    • Improved one algorithm using various researched concepts
    • Wrote a program in Java to simulate and evaluate the performance of my algorithm compared to others, in terms of memory size and number of memory accesses

Honors & Awards

  • Finalist in the Student Paper Competition for the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2011
  • Finalist in the Student Paper Competition for the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2010
  • Outstanding Teaching Assistant in the Electrical & Computer Engineering Department (2010)
  • ECE Department Student Ambassador, In Recognition of Outstanding Performance in Academic Programs (2007)
  • NJIT Provost Scholarship (2008-2009)
  • NJ OSRP Scholarship (2004-2008)
  • NJ Edward J. Bloustein Distinguished Scholarship (2004-2008)
  • Albert Dorman Honors College Scholarship (2004-2008)
  • Graduated Summa Cum Laude (B.S.), achieved the Dean's List every semester

Professional Affiliations

  • Albert Dorman Honors College
  • Phi Eta Sigma National Honor Society
  • IEEE Student Member
  • IEEE Engineering in Medicine and Biology Society
  • IEEE Signal Processing Society
  • IEEE Computational Intelligence Society
  • Reviewer for IEEE Transactions on Biomedical Engineering Letters, 2010
  • Reviewer for IEEE Transactions on Instrumentation & Measurement, 2010-2011
  • Reviewer for IEEE Transactions on Medical Imaging, 2012

Citizenship

  • U.S. Citizen