Best Papers and Awards

• “Best Paper Award“, NDIA 2023
  • Nicholas R. Gans, Cody L. Lundberg, Jennifer Forsythe, Parker Ensing, Thirimachos Bourlai, “Targeting Simulation for Assessment of Lay Error under Varying Conditions”, NDIA Michigan Chapter, Ground Vehicle Systems Engineering and Technology Symposium, Modeling Simulation and Software Technical Session, Aug 15-17, 2023 – Novi, Michigan.
• “Best Student Paper Award“ by IEEE Biometrics Council 2022
  • Sara Abdeldayem and T. Bourlai, “A Novel Approach for ECG-based Human Identification using Spectral Correlation and Deep Learning“, IEEE Transactions in Biometrics, 2020.
• “One of the Best 26 Journal papers for 2015” among 10 Elsevier Journals. It was selected to appear in “Elsevier – Virtual Special Issues Celebrating the Breadth of Biometrics Research 2015”
  • N. Narang and T. Bourlai, Face recognition in the SWIR band when using single sensor multi-wavelength imaging systems, Image and Vision Computing, Journal – Elsevier, vol. 33, pp. 26-43, Jan 2015.
• “Best Paper Award“ of the International Conference IEEE EISIC 2017
  • Lingwei Chen, Yanfang Ye, and Thirimachos Bourlai, “Adversarial Machine Learning in Malware Detection: Arms Race between Evasion Attack and Defense”, IEEE EISIC, Athens, Greece, September 2017.
• “Best Conference Paper“, BTAS 2007
  • N.Poh, J. Kittler and T. Bourlai, Improving Device Interoperability by Likelihood Ratio-based Quality Dependent Score Normalization, Biometrics: Theory, Applications and Systems, Washington DC, U.S.A., 2007.

Books

• NEW … Book #5 Thirimachos Bourlai (Editor), Face Recognition Across the Imaging Spectrum, Second Edition, Springer Nature. Publication date: 7th October 2024
• Book #4 T. Bourlai, P. Karampelas and Reda Alhajj, and, “Disease Control through Social Network Surveillance“, Springer Nature, Advanced Sciences and Technologies for Security Applications Series. Publication date: 25th of August 2022.
• Book #3 T. Bourlai, P. Karampelas, and V. Patel, “Securing Social Identity in Mobile Platforms”, Technologies for Social Network Analysis and Identity Management“, Springer Nature, Advanced Sciences and Technologies for Security Applications Series. Published 2020.
• Book #2 P. Karampelas, and T. Bourlai, “Surveillance in Action”, Springer Nature, Advanced Sciences and Technologies for Security Applications Series. Published 2018.
• Book #1 Thirimachos Bourlai (Editor), Face Recognition Across the Imaging Spectrum on Amazon, Springer Nature. Published 2016.

Book Chapters

1. NEW … Jacob Rose, Ananya Zabin and T. Bourlai, “The Impact of Ocular Pathologies on Deep Learning-Based Recognition”, Book – Face Recognition across the Imaging Spectrum 2^nd Edition, Springer, ed. T. Bourlai, Publication date: 7th October 2024.
2. NEW … A. Zabin, A. Benecchi, Runqing Gao and T. Bourlai, “Assessment of Face Recognition Algorithms over Periocular and Binocular Areas of Human Face to Check Authentication Accuracy in the Events of Occlusion”, Book – Face Recognition across the Imaging Spectrum 2^nd Edition, Springer, ed. T. Bourlai, Publication date: 7th October 2024.
3. NEW … Suha Reddy Mokalla, Victor Philippe and T. Bourlai, “On Designing a Head Pose Estimation Approach in the Thermal Band through GAN-based Image Synthesis”, Book – Face Recognition across the Imaging Spectrum 2^nd Edition, Springer, ed. T. Bourlai, Publication date: 7th October 2024.
4. NEW … Victor Philippe, Ananya Zabin and T. Bourlai, “Distance-Based Classification of Biometric Images: Leveraging Deep Learning Models”, Book – Face Recognition across the Imaging Spectrum 2^nd Edition, Springer, ed. T. Bourlai, Publication date: 7th October 2024.
5. NEW … Neal J. Gieselman and T. Bourlai, “On Designing an Optimal Configuration and Calibration of Computer Monitors for Facial Image Analysis in Forensic Examination”, Book – Face Recognition across the Imaging Spectrum 2^nd Edition, Springer, ed. T. Bourlai, Publication date: 7th October 2024.
6. Victor Philippe, Suha Reddy Mokalla, Thirimachos Bourlai, The Effects of Face Masks on the Performance of Modern MWIR Face Detectors, Book – Disease Control through Social Network Surveillance, eds. T. Bourlai, P. Karampelas and Reda Alhajj, pp. 167-187, 2022.
7. Jacob Rose, Thirimachos Bourlai and Haiying Liu, Multispectral Face Mask Compliance Classification During a Pandemic, Book – Disease Control through Social Network Surveillance, eds. T. Bourlai, P. Karampelas and Reda Alhajj, 2022.
8. Ananya Zabin, Suha Reddy Mokalla and Thirimachos Bourlai. On the Effectiveness of Periocular-Based Human Authentication when Wearing Face Masks to Slow the Spread of COVID-19, Book – Disease Control through Social Network Surveillance, eds. T. Bourlai, P. Karampelas and Reda Alhajj, 2022.
9. T. Bourlai, “Data Collection Challenges for Multi spectral Biometric Research in a COVID 19 Era”, United States Military Academy Special Colloquium on Computational Engineering Mathematics 2020-2021, WIT Press, 2022.
10. T. Bourlai and Jacob Rose, “On Designing a Forensic Toolkit for Rapid Detection of Factors that Impact Face Recognition Performance when Processing Large Scale Face Datasets“, Book – Securing Social Identity in Mobile Platforms, eds. T. Bourlai, V. Patel and P. Karampelas, 2020.
11. Suha Reddy Mokalla and T. Bourlai, “Face Detection in the MWIR Spectrum“, Book – Securing Social Identity in Mobile Platforms, eds. T. Bourlai, V. Patel and P. Karampelas, 2020.
12. Neeru Narang and T. Bourlai, “Classification of Soft Biometric Traits when Matching Near-Infrared Long-range Face Images against their Visible Counterparts“, Book – Securing Social Identity in Mobile Platforms, eds. T. Bourlai, V. Patel and P. Karampelas, 2020.
13. M. Martin and T. Bourlai, “Unconstrained Face Recognition using Cell Phone Devices: Faces in the Wild“, Book – Securing Social Identity in Mobile Platforms, eds. T. Bourlai, V. Patel and P. Karampelas, 2020.
14. Xue Yang and Thirimachos Bourlai, “Video-Based Human Respiratory Wavelet Extraction and Identity Recognition”, Book – Surveillance in Action, eds. P. Karampelas and T. Bourlai, Hard Copy Publication 1st Quarter 2018.
15. Susan El-Naggar, Ayman Abaza and Thirimachos Bourlai, “A Study on Human Recognition using Auricle and Side View Face Images”, Book – Surveillance in Action, eds. P. Karampelas and T. Bourlai, Hard Copy Publication 1st Quarter 2018.
16. Nnamdi Osia, Thirimachos Bourlai and Lawrence Hornak, Facial Surveillance and Recognition in the Passive Infrared Bands, Book – Surveillance in Action, eds. P. Karampelas and T. Bourlai, Hard Copy Publication 1st Quarter 2018.
17. Neeru Narang and Thirimachos Bourlai, Deep Feature Learning for Classification when using Single Sensor Multi-Wavelength based Facial Recognition Systems in SWIR Band, Book – Surveillance in Action, eds. P. Karampelas and T. Bourlai, Hard Copy Publication 1st Quarter 2018.
18. J. K. Burgoon, D. Metaxas, T. Bourlai and A. Elkins, “Social Signals of Deception and Dishonesty“, Cambridge Press, July 2017.
19. Collection of Multi-Spectral Biometric Data for Cross-Spectral Identification Applications , J. Dawson, S. Leffel, C. Whitelam and T. Bourlai, Book – Face Recognition across the Imaging Spectrum, Springer, 2016.
20. Local Operators and Measures for Heterogeneous Face Recognition, N. Cao, N. Schmid, and T. Bourlai, Book – Face Recognition across the Imaging Spectrum, Springer, 2016.
21. Document to Live Facial Identification, A. Clark, C. Whitelam and T. Bourlai, Book – Face Recognition across the Imaging Spectrum, Springer, 2016

Patents

• T. Bourlai et al., US 20160379042 A1, “Apparatuses, systems, and methods for confirming identity”, 2018.
• T. Bourlai et al., US9449217 B1, “Image Authentication”, Published, Fall 2016.
• T. Bourlai et al. -# 2018-028, “High Accuracy and Volume Facial Recognition on Mobile Platforms”.  A Non-Provisional Patent Application, 2021 (Application # 62/653,156).

Technical Inquiry Response Requests

1. Thirimachos Bourlai (WVU) and Scott Armistead (DSIAC), “Standoff Biometric Identification Face Recognition”, DSIAC TECHNICAL INQUIRY (TI) RESPONSE REPORT, Fall 2019.
2. “Biometrics and Hygiene Considerations”, Biometrics Institute, 2020.

Latest Conferences

1. NEW 2025 … Neal Outland, Efthymia Antonoudi, Thirimachos Bourlai, Runqing Gao, Brandon Kang, “Trust in ai in financial planning: a psychological perspective on tasks and collaboration”, World Finance Conference, Malta, July, 2025.
2. Shufan Zhang, Thirimachos Bourlai and Jonathan Arnold, “MycorrhiSEE: a High-Resolution Image Dataset for Deep Learning Based Quantification of Arbuscular Mycorrhizal Fungi”, IEEE Big Data Conference, DC, Dec 2024.
3. M. Blaser, W. Porter, L. Fuhrer and T. Bourlai, “YOLOv10 Computer Vision Performance Measurement for Agricultural Vacuum Seed Meters,” 2024 IEEE International Conference on Big Data (BigData), Washington, DC, USA, 2024, pp. 1929-1936, doi: 10.1109/BigData62323.2024.10825689.
4. Hayat A. A. Cue, T. Bourlai, and Mark Lupo, “A CIS Controls V8.0 Scoring System using Combined Ranking-Weight Methods”, IEEE International Systems Conference (SysCon), Montral, CA, 2024.
5. Pai Chet Ng, Zhixiang Chi, Malcolm Low, Juwei Lu, Konstantinos Plataniotis, Nikolaos Boulgouris, Thirimachos Bourlai, Yong Man Ro, “Hyperspectreil Skin Vision Challenge: Can your camera see beyond your skin?“, IEEE ICASSP, Seoul, Korea, April 14-19, 2024.
6. Shufan Zhang, W. Lantz, I. Wilson, J. Spittle, S. Eastin, A. Mandal, J. Arnold, T. Bourlai, “A New Spline-Based Image Processing Technique with Applications to Whole-Slide Imaging of Plant Roots”, IEEE SoutheastCon 2024.
7. Kyle Matthew Becker, Andrew R Benecchi, Thirimachos Bourlai, “Passive Millimeter Wave Concealed Object Detection Using YOLOv8”, IEEE SoutheastCon 2024.
8. V. Philippe, T. Bourlai, “Exploring Image Augmentation Methods for Long-Distance Face Recognition Using Deep Learning”, IEEE SoutheastCon 2024.
9. A. Zabin, T. Bourlai, “FaceSensor ID: A High Precision Approach on Multi-Spectral (Visible and NIR) Camera Sensor Origin Identification”, IEEE SoutheastCon 2024.
10. L. Lacerda, Bourlai et al., “Nitrogen Stress Detection in Irrigated Corn Using Multispectral Imagery and Machine Learning Algorithms”, 16th International Conference on Precision Agriculture, 2024.
11. Vellidis, Bourlai et al., “Decision Support Tools for Developing Aflatoxin Risk Maps in Peanut Fields”, 16th International Conference on Precision Agriculture, 2024.
12. Nicholas R. Gans, Cody L. Lundberg, Jennifer Forsythe, Parker Ensing, Thirimachos Bourlai, “Targeting Simulation for Assessment of Lay Error under Varying Conditions“, NDIA Michigan Chapter, Ground Vehicle Systems Engineering and Technology Symposium, Modeling Simulation and Software Technical Session, Aug 15-17, 2023 – Novi, Michigan. Best Paper Award
13. Vellidis G, Bourlai T, Camelio J, Rhodes C, Scherm H, “Developing a continuum of education and training pathways in integrative precision agriculture”, 14th European Conference on Precision Agriculture, Bologna, Italy, 2-6 July 2023.
14. Morgan Sysskind, Cristiane Pilon, George Vellidis, Sunaab Kukal, Alicia Peduzzi, Thirimachos Bourlai, Physiological Changes in Rainfed Peanut: A Spatial and Temporal Analysis, ASA, CSSA, SSSA International Annual Meeting Open Science Inspires, St. Louis, MO, Oct 29 – Nov 1, 2023.
15. Kukal, S., Sysskind, M., Bourlai, T., Pilon, C., Peduzzi, A., Kemerait, R., & Vellidis, G., Developing a Mathematical Model for Detecting Aflatoxin Hotspots in Peanut Fields, ASA, CSSA, SSSA International Annual Meeting, St. Louis, MO. Oct 29 – Nov 1, 2023.
16. Chrisopher B. Nalty, Neehar Peri, Joshua Gleason, Carlos D. Castillo, Shuowen Hu, Thirimachos Bourlai, Rama Chellappa, “A Brief Survey on Person Recognition at a Distance“, IEEE Asilomar Conference on Signals, Systems, and Computers (ACSSC) , 2023.
17. Greg Murray, T. Bourlai and M. Spolaor, “Mask R-CNN: Detection Performance on SPEED Spacecraft with Image Degradation“, 3rd IEEE Workshop on Machine Learning for Big Data Analytics in Remote Sensing, IEEE Big Data, 2021.
18. Suha Mokalla, and T. Bourlai, “Robust LWIR-based Eye Center Detection through Thermal to Visible Image Synthesis“, F&G, 2021.
19. Sandip Purnapatra, Nic Smalt, Keivan Bahmani, Priyanka Das, David Yambay, Amir Mohammadi, Anjith George, T. Bourlai, Sébastien Marcel, Stephanie Schuckers, et al., “Face Liveness Detection Competition (LivDet-Face)-2021“, IEEE International Joint Conference on Biometrics (IJCB), pp. 1-10, 2021.
20. N Peri, J Gleason, CD Castillo, T. Bourlai, VM Patel, R Chellappa, “A Synthesis-Based Approach for Thermal-to-Visible Face Verification“, F&G, 2021.
21. T Bisztray, N Gruschka, T. Bourlai, L Fritsch, “Emerging Biometric Modalities and their Use: Loopholes in the Terminology of the GDPR and Resulting Privacy Risks“, International Conference of the Biometrics Special Interest Group, 2021.
22. S. Mokalla and T. Bourlai, “Effects of Demographics and Photometric Normalization on Image Translation GANs for Cross-Spectral Face Recognition“, IEEE Big Data / CyberHunt, 2021.
23. A D Clark et. al., “Characterizing Light-Adapted Pupil Size in the NIR Spectrum“, IJCB 2020 (online – virtual).
24. J. Rose and T. Bourlai, “Assessment of Data Augmentation Techniques for Firearm Detection in Surveillance Videos”, IEEE Big Data (Cyberhunt) 2020 (online – virtual).
25. Ananya Zabin and T. Bourlai, “On Designing Deep Learning Based Iris Sensor Model Identification Approach”, IEEE ASONAM (SNAST), 2020 (online – virtual).
26. Susan El-Naggar and T. Bourlai, “Evaluation of Deep Learning Models for Ear Recognition Against Image Distortions“, European Conference in Intelligence Security Informatics (The Premier European Conference on Counterterrorism and Criminology), Oulu, Finland, November 26-27, 2019.
27. Justin Romeo and T. Bourlai, “Semi-Automatic Geometric Normalization of Profile Faces“, European Conference in Intelligence Security Informatics (The Premier European Conference on Counter-terrorism and Criminology), Oulu, Finland, November 26-27, 2019.
28. J. Rose and T. Bourlai, “Deep Learning Based Estimation of Facial Attributes on Challenging Mobile Phone Face Datasets”, IEEE ASONAM, Vancouver, Canada, August 2019.
29. S. Mokalla and T. Bourlai, “On Designing MWIR and Visible Band based DeepFace Detection Models“, IEEE ASONAM, Vancouver, Canada, August 2019.
30. L. Chen, S. Hou, Y. Ye, T. Bourlai, S. Xu, L. Zhao, “iTrustSO: An Intelligent System for Automatic Detection of Insecure Code Snippets in Stack Overflow“, IEEE ASONAM, Vancouver, Canada, August 2019.
31. Sara S. Abdeldayem and Thirimachos Bourlai, “ECG-based Human Authentication using High-level Spectro-temporal Signal Features“, IEEE International Conference on Big Data 2018 (Cyberhunt Workshop), Seattle, Dec 2018.
32. Susan El-Naggar and T. Bourlai, “Ear Detection in the Wild using Faster R-CNN Deep Learning”, IEEE ASONAM (SNAST), August 2018.
33. Yanfang Ye, Yiming Zhang, Yujie Fan, Shifu Hou, Jian Liu and Thirimachos Bourlai, “Automate Underground Forum Analysis Based on Heterogeneous Information Network“, IEEE ASONAM (SNAST), August 2018.
34. Sara Abdeldayem and T. Bourlai, “Automatically Detecting Arrhythmia-related Irregular Patterns using the Temporal and Spectro-Temporal Textures of ECG Signals”, ICRP, August 2018.
35. Lingwei Chen, Yanfang Ye, and Thirimachos Bourlai, “Adversarial Machine Learning in Malware Detection: Arms Race between Evasion Attack and Defense”, IEEE EISIC, Athens, Greece, September 2017 (Best Paper Award).
36. Michael Martin, Jeremy Dawson, and Thirimachos Bourlai, “Large Scale Data Collection of Tattoo-Based Biometric Data from Social-Media Websites”, IEEE EISIC, Athens, Greece, September 2017.
37. N. Osia and T. Bourlai, “On Matching Visible to Passive Infrared Face Images Using Image Synthesis & Denoising”, 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017), June 2017.
38. N. Narang, M. Martin, D. Metaxas (Rutgers), T. Bourlai, “Learning Deep Features for Hierarchical Classification of Mobile Phone Face Datasets in Heterogeneous Environments”, 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017), June 2017.
39. S. C. Leffel, T. Bourlai and J. M. Dawson, “Autofocus for SWIR facial imagery utilizing Haar wavelets”, IEEE International Symposium on Technologies for Homeland Security (HST), May 2017.
40. N. Narang and T. Bourlai, “Deep Features based Classification of Multi-spectral Images when using for Face Recognition in the SWIR Band”, CVPR (WiCV), 2016 [Poster Presentation].
41. M. Martin, X. Xu, and T. Bourlai, “A Multimedia Application for Location-based Semantic Retrieval of Tattoos“, BTAS 2016.
42. Y. Du, T. Bourlai, and J. Dawson, “Automated Classification of Mislabeled Near-Infrared Left and Right Iris Images using Convolutional Neural Networks“, BTAS 2016.
43. X. Xu, M. Martin, and T. Bourlai, “Automatic Tattoo Image Registration System“, IEEE ASONAM (SNAST), August 2016 (~40% acceptance rate).
44. N. Narang and T. Bourlai, “On the Effectiveness of Statistical Hypothesis Testing in IR-based FR in Heterogeneous Environments“, IEEE ASONAM (SNAST), August 2016 (~40% acceptance rate).
45. N. Narang and T. Bourlai, “Gender and Ethnicity Classification using Deep Learning in Heterogeneous Face Recognition“, 9th IAPR International Conference on Biometrics (ICB), Halmstad, Sweden, June 13-16, 2016 (Accepted for Presentation).
46. S. Elnaggar, A. Abaza, Hany Ammar, and T. Bourlai, “On a Taxonomy of Ear Features“, IEEE HST, Waltham, MA USA, 10 – 12 May 2016 [Oral].
47. E. J. Moore and T. Bourlai et al., “Biclustering for ssDNA Aptamer Motif Prototypes“, IEEE International Conference on Biomedical and Health Informatics, Las Vegas, NV, 2016.

Latest Journals

1. NEW 2025 … Emanuela Marasco, Thirimachos Bourlai, Enhancing trust in Large Language Models for streamlined decision-making in military operations, Image and Vision Computing, 2025, 105489, ISSN 0262-8856, https://doi.org/10.1016/j.imavis.2025.105489.
2. C. C. Rakowski and T. Bourlai,”On Designing A Near Infrared Dorsal Hand Vein Authentication System,” in IEEE Access, vol. 12, pp. X-X, 2025, Accepted 10.27.24.
3. R. Gao and T. Bourlai, “On Designing a SwinIris Transformer Based Iris Recognition System,” in IEEE Access, vol. 12, pp. 30723-30737, 2024, doi: 10.1109/ACCESS.2024.3369035. Keywords: ^{Iris recognition; Transformers; Computational modeling; Feature extraction; Task analysis; Classification algorithms; Computer architecture;Biometrics (access control); Deep learning; Identification of persons; Biometrics; Swin Transformer; Deep learning; Human identification; Iris recognition.}
4. C. C. Rakowski and T. Bourlai, “On Enhancing Crack Semantic Segmentation Using StyleGAN and Brownian Bridge Diffusion,” in IEEE Access, vol. 12, pp. 34769-34784, 2024, doi: 10.1109/ACCESS.2024.3368376. Keywords: ^{Data models; Semantic segmentation; Bridges; Training; Deep learning; Context modeling; Adaptation models; Data models; Synthetic data; Hyperparameter optimization; Brownian motion; Data augmentation; Ensemble learning; StyleGAN; DeepLabV3+; Synthetic data generation; Hyperparameter tuning; Brownian bridge diffusion model; Semantic segmentation; Data augmentation; Ensemble modeling; Structural crack detection.}
5. J. Forsythe, P. Ensing, N. Gans, C. Lundberg, and T. Bourlai, “Development of a Human Performance Baseline of Lay Error in Targeting”, DEVCOM Analysis Center of the Department of Defense, Jan 2024.
6. T. Bourlai et al., “Data and Algorithms for End-to-End Thermal Spectrum Face Verification,” in IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 6, no. 1, pp. 1-14, Jan. 2024, doi: 10.1109/TBIOM.2023.3304999.
7. 89 Streamlining the acquisition and analysis of digital images for the assessment of horn fly abundance AM Warner, A Tani, SE Aggrey, T Bourlai, R Rekaya Journal of Animal Science 102 (Supplement_3), 26-27, 2024.
8. Suha Mokalla, T. Bourlai, “Utilizing Alignment Loss to Advance Eye Center Detection and Face Recognition in the LWIR Band“, IEEE TBIOM 2023 (accepted Feb 26th 2023).
9. Susan El-Naggar and T. Bourlai, “Exploring Deep Learning Ear Recognition In Thermal Images“, IEEE Transactions in Biometrics, Volume: 5, Issue: 1, January 2023.
10. Susan El-Naggar and T. Bourlai, “Image Quality Assessment for Effective Ear Recognition“, IEEE Access, (accepted Q4 2022), 2023.
11. Matthew L. Sigue, Thirimachos Bourlai and Max Spolaor, “On Designing Algorithms for Augmentation of On-Orbit CubeSats Sensor Data”, Journal of Small Satellites, 2022.
12. Sara Abdeldayem and T. Bourlai, “A Novel Approach for ECG-based Human Identification using Spectral Correlation and Deep Learning“, IEEE Transactions in Biometrics, 2020.
13. Lezi Wang, Xiang Yu, Thirimachos Bourlai, and Dimitris N. Metaxas, “A Coupled Encoder-Decoder Network for Joint Face Detection and Landmark Localization“, Elsevier, IMAVIS, 2019.
14. M. Martin and T. Bourlai, “Enhanced Tattoo Image Quality Assessment Through Multi-spectral Sensing”, IEEE Sensors Journal, January 2018.
15. N. Osia and T. Bourlai, “Bridging the Spectral Gap using Image Synthesis: A Study on Matching Visible to Passive Infrared Face Images”, MVA, Springer, 2017.
16. T. Bourlai, N. Narang and N. Mavridis, “On Designing Practical Long Range Near Infrared-based Face Recognition Systems“, Elsevier – Image and Vision Computing Journal, May 2016.
17. T. Bourlai and L. Hornak, “Face Recognition Outside the Visible Spectrum“, Elsevier – Image and Vision Computing Journal, March 2016 – Opinion Paper.
18. Z. Cao, N. A. Schmid, and T. Bourlai, “Composite multi-lobe descriptors for cross-spectral recognition of full and partial face“, Optical Engineering, Summer 2016.
19. E. Moore and T. Bourlai, “Expectation Maximization of Frequent Patterns – A Specific and Local Biclustering Algorithm for Biological Datasets“, IEEE/ACM Transactions in Computational Biology and Bioinformatics – Special Session, 2016.

Journals and Conferences up to 2016

1. Face recognition in the SWIR band when using single sensor multi-wavelength imaging systems , N. Narang and T. Bourlai, Image and Vision Computing, Journal – Elsevier, vol. 33, pp. 26-43, Jan 2015.
2. Accurate Eye Localization in the Short Waved Infrared Spectrum through Summation Range Filters, C. Whitelam and T. Bourlai, Elsevier – CVIU, June 2015 [Impact Factor 5Y 2.293].
3. On Designing an Unconstrained Tri-band Pupil Detection System for Human Identification , C. Whitelam and T. Bourlai, Journal of Machine and Vision Applications, Springer, (Accepted) June 2015 [Impact Factor 2013 – 1.444].
4. Imaging white blood cells using a snapshot hyper-spectral imaging system, C. Robison, J. Dawson, C. Kolanko and T. Bourlai, Algorithms and Technologies for Multispectral, Hyper-spectral, and Ultra-spectral Imagery XXI, SPIE (Defense + Security), Baltimore, MD, April 2015. (Accepted) [Oral]
5. Face Recognition by using Multispectral Imagery, T. Bourlai, InfraMation (Thermal Imaging Leading User’s Conference – Organized by FLIR), Nashville, Tennessee, May 12 – 14, 2015. [Oral] [Invited Paper]
6. Can we match ultraviolet face images against their visible counterparts?, N. Narang and T. Bourlai, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultra-spectral Imagery XXI, SPIE (Defense + Security), Baltimore, MD, April 2015.

2014

1. A Spectral Independent Approach for Physiological and Geometric Based Face Recognition in the Visible, Middle-Wave and Long-Wave Infrared Bands , N. Osia and T. Bourlai, Image and Vision Computing, Journal – Elsevier, Volume 32, Issue 11, November 2014, Pages 847–859. [Impact Factor 5Y 2.095].
2. Design and Evaluation of Photometric Image Quality Measures for Effective Face Recognition , A. Abaza, M. A. Harrison, T. Bourlai and A. Ross, (IEEE) IET Biometrics, 2014. [Impact Factor 1.412].
3. On Designing SWIR to Visible Face Matching Algorithms, C. Whitelam and T. Bourlai Intel Technology Journal , Edition on Biometrics and Authentication, August 2014 [ Invited Article ].
4. Expansion of Bioelectronics and Biosensing Applications through the Development of Computational Methods for Aptamer Discovery, E. Moore, K. Hickey, R. Ayscue, P. Gannett, L. Sooter, T. Menzies and T. Bourlai, NanoSAFE Bioelectronics and Biosensing International Symposium, Morgantown, WV, U.S.A., April 27-28, 2014.
5. Can the usage of human growth hormones affect facial appearance and the accuracy of face recognition systems?, J. Rose, M. Martins and T. Bourlai, SPIE, Baltimore, MD, USA, May 7th, 2014 [Oral].
6. Granting space and time to words: Blind semantic spatial localization for the case of facial images, N. Mavridis and T. Bourlai, IEEE International Conference on Robotics & Emerging Allied Technologies in Engineering (iCREATE), Islamabad, Pakistan, April 22-24, 2014.
7. Development and Evaluation of an Objective Method for Human Hair Examination Using Image and Mitochondrial DNA Analyses, A. S. McWhorter, N. Osia, T. Bourlai, T. Moroose and P. Buzzini, American Academy of Forensic Sciences (AAFS) Conference , Seattle, WA, Feb 17-22, 2014

2013

1. Reducing Pathogen Transmission in a Hospital Setting. Handshake verses Fist Bump: A Pilot Study, P. A. Ghareeb, T. Bourlai, et al., Elsevier – Journal of Hospital Infection, Sept. 25th (published online) 2013 [Impact Factor 2.855 / 5Y 3.221]
2. Methodological Insights on Restoring Face Photos of Multinational Passports, T. Bourlai and A. Clark, IEEE International Conference on Technologies for Homeland Security, Waltham, MA, U.S.A., 12-14 November, 2013 [Oral]
3. Securing Multimodal Biometric Data through Watermarking and Steganography, C. Whitelam, N. Osia and T. Bourlai, IEEE International Conference on Technologies for Homeland Security, Waltham, MA, U.S.A., 12-14 Nov, 2013 [Oral]
4. Applications of Passive Infrared Imaging to Forensic Facial Recognition, T. Bourlai et al. InfraMation, (Thermal Imaging Leading User’s Conference – Organized by FLIR), Loews Royal Pacific, Orlando, FL, November 5-7, 2013 [Oral] [Invited Paper]
5. Methodological Insights on Passport Image Enhancement, A. Clark and T. Bourlai, SPIE Newsroom Magazine – Defense & Security, Fall 2013.
6. Integrating Physiological Measurements with Avatars for Effective Identification Technologies, M. Martin, C. Greff, T. Bourlai, G. Cutlip and D. Pollina IEEE International Conference on Technologies for Homeland Security, Waltham, MA, U.S.A., 12-14 Nov, 2013 [Poster].
7. On Ear-based Human Identification in the Mid-Wave Infrared Spectrum, A. Abaza and T. Bourlai, Image and Vision Computing, Journal – Elsevier, June 2013 [Accepted] [Impact Factor 1.959]
8. Minimizing the Impact of Low Interoperability between Optical Fingerprint Sensors, E. Marasco, L. Lugini, B. Cukic, T. Bourlai, Biometrics: Theory, Applications and Systems (BTAS), Washington DC, Sept. 29 – Oct. 2, 2013.
9. Mid-wave IR Face Recognition Systems, T. Bourlai, SPIE Newsroom Magazine – Defense & Security, February 2013 [DOI: 10.1117/2.1201302.004745] [invited article].

2012

1. Holistic and Partial Face Recognition in the MWIR band using Manual and Automatic Detection of Face-based Features, N. Osia and T. Bourlai IEEE International Conference on Technologies for Homeland Security, Waltham, MA, U.S.A., 13-15 Nov, 2012.
2. Quality Metrics for Practical Face Recognition, A. Abaza, T. Bourlai, M. A. Harrison, IAPR International Conference on Pattern Recognition (ICPR), Tsukuba Science City, Japan, November 2012.
3. Fused-based Segmentation Method for Tracking of Human Lung Epithelial Cells , M. Martin, X. Li, Y. Qian, Y. Liu, and T. Bourlai, Biomedical Engineering Society Conference, Atlanta, GA, U.S.A., Oct. 2012.
4. Short-Wave Infrared for Face-based Recognition Systems, T. Bourlai, SPIE Newsroom Magazine – Defense & Security, April 2012 [DOI: 10.1117/2.1201204.004192] [Invited Article] .
5. Multi-Spectral Face Recognition: Identification of People in Difficult Environments , T. Bourlai and B. Cukic IEEE International Conference on Intelligence and Security Informatics , (ISI), Washington, U.S.A., June 2012 [Invited Paper].
6. The Human-Robot Cloud: Situated Collective Intelligence on Demand, N. Mavridis, T. Bourlai and D. Ognibene, IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems (IEEE-CYBER), Thailand, May 2012.
7. Evaluating the efficiency of a nighttime, middle-range infrared sensor for applications in human detection and recognition, T. Bourlai, J. VonDollen, N. Mavridis, C. Kolanko, SPIE, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII , Baltimore, U.S.A., Apr. 2012 [oral] .
8. Use of Thermal Imagery for Core Body Temperature Estimation during Pre-cooling, Exertion, and Recovery in Wild-land Firefighter Protective Clothing , T. Bourlai, R. R. Pryor, J. Suyama, S. E. Reis, and D. Hostler, Pre-hospital Emergency Care: Official Journal of the National Association of EMS Physicians and the National Association of State EMS Directors, [In Press] [Expected – May 2012].
9. A Study on using Middle-Wave Infrared Images for Face Recognition, T. Bourlai, A. Ross, C. Chen, and L. Hornak SPIE, Biometric Technology for Human Identification IX, Baltimore, U.S.A., Apr. 2012 [oral].
10. On Designing a SWIR Multi-Wavelength Facial-Based Acquisition System, T. Bourlai, N. Narang et. al. SPIE (Vol. 8353), Infrared Technology and Applications XXXVIII, Baltimore, U.S.A., Apr. 2012 [oral] .
11. Human Ear Detection in the Thermal Infrared Spectrum, A. Abaza and T. Bourlai SPIE (Vol. 8354), Thermo-sense: Thermal Infrared Applications XXXIV, Baltimore, U.S.A., Apr. 2012 [oral] .
12. SWIR Imaging for Facial Image Capture through Tinted Materials, J. Ice, N. Narang, C. Whitelam, N. Kalka, L. Hornak, J. Dawson, and T. Bourlai SPIE (Vol. 8353), Infrared Technology and Applications XXXVIII, Baltimore, U.S.A., Apr. 2012.

2011

1. Eye Detection in the Middle-Wave Infrared Spectrum, T. Bourlai and Z. Jafri IEEE Intl. Workshop on Information Forensics and Security, 2011 (32.5% Acceptance Rate) [oral].
2. Pupil Detection under Lighting and Pose Variations in the Visible and Active Infrared, T. Bourlai, C. Whitelam, I. Kakadiaris, IEEE Intl. Workshop on Information Forensics and Security, 2011 (32.5% Acceptance Rate) [oral].
3. Cross-spectral Face Recognition in Heterogeneous Environments: A Case Study on Matching Visible to Short-wave Infrared Imagery, N. Kalka, T. Bourlai, B. Cukic, L. Hornak International Joint Conference on Biometrics (IEEE, IAPR), 2011 (32% Acceptance Rate).
4. Can Facial Metrology Predict Gender?, D. Cao, C. Chen, M. Piccirilli, P. Marco, D. Adjeroh, T. Bourlai, A. Ross International Joint Conference on Biometrics (IEEE, IAPR), 2011 (32% Acceptance Rate).
5. Restoring Degraded Face Images for Matching Faxed or Scanned Photos, T. Bourlai, A. Ross, and A. Jain IEEE Transactions on Information Forensics and Security Vol. 6, Issue 2, pp. 371 – 384, June 2011.
6. Ascertaining Human Identity in Night Environments, T. Bourlai, N. Kalka, D. Cao, B. Decann, Z. Jafri, F. Nicolo, C. Whitelam, J. Zuo, D. Adjeroh, B. Cukic, J. Dawson, L. Hornak, A. Ross, N. A. Schmid, Distributed Video Sensor Networks, Springer, 2011, Part 7, 471-478, DOI: 10.1007/978-0-85729-127-1_31. [Book Chapter]

2010

1. Methodological Advances on Pulse Measurement through Functional Imaging, T. Bourlai, P. Buddharaju et al., Computational Surgery and Dual Training, Springer, 2010 [Book Chapter] .
2. On Design and Optimization of a Face Verification System that is Smart-Card-Based, T. Bourlai, J. Kittler and K. Messer Journal of Machine Vision and Applications Springer, vol. 21, issue 5, pp. 695-711, 2010.
3. The Multi-Scenario Multi-Environment BioSecure Multimodal Database (BMDB) , J. Ortega-Garcia, J. Fierrez, F. Alonso-Fernandez, J. Galbally, M. R. Freire, J. Gonzalez-Rodriguez, C. Garcia-Mateo, J. L. Alba-Castro, E. Gonzalez-Agulla, E. Otero-Muras, S. Garcia-Salicetti, L. Allano, B. Ly-Van, B. Dorizzi, J. Kittler, T. Bourlai, N. Poh et al. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, issue 6, pp. 1097-1111, June 2010.
4. Quality-based Score Normalization with Device Qualitative Information for Multimodal Biometric Fusion, N. Poh, J. Kittler and T. Bourlai IEEE Transactions on Systems, Man, and Cybernetics–Part A: Systems and Humans, vol. 4, no. 3, pp. 539-554, May 2010.
5. A Multimodal Biometric Test Bed for Quality-dependent, Cost-sensitive and Client-specific Score-level Fusion Algorithms, N. Poh T. Bourlai and J. Kittler Pattern Recognition Journal vol. 43, issue 3, pp. 1094-1105, March 2010.
6. Cross-spectral Face Verification in the Short Wave Infrared (SWIR) Band , T. Bourlai N. Kalka, A. Ross, B. Cukic, L. Hornak International Conference on Pattern Recognition , (ICPR) 2010.
7. Multispectral Eye Detection: A Preliminary Study, C. Whitelam, Z. Jafri T. Bourlai International Conference on Pattern Recognition, (ICPR) 2010 [oral] .

2009

1. Designing a Smart-Card-Based Face Verification System: Empirical Investigation, T. Bourlai, J. Kittler and K. Messer, Journal Machine Vision and Applications Springer, vol. 20, issue 4, p. 225-245, 2009.
2. Benchmarking Quality-dependent and Cost-sensitive Multimodal Biometric Fusion Algorithms, N. Poh T. Bourlai, J. Kittler, L. Allano, F. Alonso, O. Ambekar, J. Baker, B. Dorizzi, O. Fatukasi, J. Fierrez, H. Ganster, J-O. Garcia, D. Maurer, A. A. Salah, T. Scheidat and C. Vielhauer IEEE Transactions on Information Forensics & Security vol.4, issue 4, 2009.
3. On Matching Digital Face Images against Passport Photos, T. Bourlai, A. Ross and A. Jain IEEE International Conference on Biometrics, Identity and Security, Tampa U.S.A., 2009 [oral] .
4. On Enhancing Cardiac Pulse Measurements through Thermal Imaging, T. Bourlai, P. Buddharaju, et al. Information Technology and Applications in Biomedicine, Cyprus, 2009 [oral] .
5. Use of a Novel Thermal and Visual Facial Mapping System to Measure Stress in Surgeons May Provide a Valuable Metric in Surgical Skills Acquisition. A. Joseph, T. Bourlai, et al. American College of Surgeons Educational Consortium, Chicago, U.S.A., 2009 [oral] .

2008

1. High definition thermal and visual facial mapping: a valuable metric for surgical skill acquisition? B. Bass, E. Silverman, T. Bourlai J. Dowdall, I. Pavlidis, B.J. Dunkin, The Society of American Gastrointestinal and Endoscopic Surgeons, Philadelphia, PA, U.S.A.
2. Smart NEAT-o-Games: Novel Mobile Gaming versus Modern Sedentary Lifestyle, K. Kazakos, F. Yuichi, I. Pavlidis, J. Levine and T. Bourlai Human-Computer Interaction with Mobile Devices and Services, Amsterdam, The Netherlands.

2007

1. Smart-Card-Based Face Verification System: Empirical Optimization of Meta-Parameters, T. Bourlai J. Kittler and K. Messer, Carnahan Conference on Security Technology, Ottawa, Ontario, Canada.
2. Optimization of the Pre-Processing Stage of a Smart Card Face Verification System, T. Bourlai J. Kittler and K. Messer. European Signal Processing Conference, Poznań, Poland. [oral]
3. Improving Device Interoperability by Likelihood Ratio-based Quality Dependent Score Normalization, N.Poh, J. Kittler and T. Bourlai Biometrics: Theory, Applications and Systems, Washington DC, U.S.A.

2006

1. On Optimisation of Smart Card Face Verification Systems, T. Bourlai J. Kittler and K. Messer Advance Video and Signal based Surveillance, Sydney, Australia.
2. Database Size Effects on Performance on a Smart Card Face Verification System, T. Bourlai K. Messer and J. Kittler. Face and Gesture, Southampton, U.K.

2005

1. Performance Based Optimization in Face Verification using Smart Cards, T. Bourlai, K. Messer and J. Kittler Audio- and Video-based Biometric Person Authentication, New York, U.S.A. [oral]
2. JPEG Compression Effects on a Smart Card Face Verification System, T. Bourlai J. Kittler and K. Messer Machine Vision Applications, Tokyo, Japan. [oral].

2004

1. Face Verification System Architecture using Smart Cards, T. Bourlai, K. Messer and J. Kittler Pattern Recognition, Cambridge, U.K.
2. Performance versus Computational Complexity Trade-off in Face Verification T. Bourlai, K. Messer and J. Kittler Biometric Authentication, Hong Kong, China. [oral]