Dimitris G. Chachlakis, Ph.D.
Dimitris G. Chachlakis, Ph.D.
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Staff R&D Engineer
About Me
About Me
I am a Staff R&D Engineer at the Innovation Labs and Applied Technologies department, at Digimarc Corporation. Prior to joining Digimarc, I earned the Ph.D. degree in Electrical and Computer Engineering and the Diploma (5-year program) in Electronic and Computer Engineering from the Rochester Institute of Technology and the Technical University of Crete, respectively. In 2023, my Ph.D. Dissertation Thesis titled "Theory and algorithms for reliable multi-modal data analysis, machine learning, and signal processing.", earned the university-wide Outstanding Ph.D. Dissertation award. My research interests include robust multimodal (tensor) data analytics, signal processing, machine learning, convex/non-convex optimization, digital image watermarking, and object detection/computer vision, to name a few.
Professional Positions
Professional Positions
Staff R&D Engineer, Digimarc Corporation, April 2025 - Present.
Senior Research & Development Engineer, Digimarc Corporation, May 2021 - March 2024.
Research Assistant, Rochester Institute of Technology (during Ph.D. studies), Aug. 2016 - May 2021.
Education
Education
Doctor of Philosophy in Electrical and Computer Engineering, Rochester Institute of Technology , NY USA, 2021.
RIT-wide Outstanding Ph.D. Dissertation Award, 2023Engineering Diploma (5-year Program) in Electronic and Computer Engineering, Technical University of Crete, Greece, 2016.
Research Interests
Research Interests
Tensor Methods for Data Analysis.
Machine Learning.
Digital Image Watermarking.
Object Detection/Computer Vision.
Signal Processing.
Sparse Array Processing.
Convex/non-convex Optimization.
Data Fusion.
Theory and Algorithms for Lp-norm Data Analysis.
Awards
Awards
RIT-wide Oustanding Ph.D. Dissertation Award (2023)
Graduate student Scholarship, A. G. Leventis Foundation. (Aug. 2019 Meeting)
Graduate student Scholarship, Gerondelis Foundation, Inc. (Apr. 2018 Meeting)
Scholarly Work
Scholarly Work
Journal Articles
Journal Articles
[J6] D. G. Chachlakis, T. Zhou, F. Ahmad, and P. P. Markopoulos, Minimum Mean-Squared-Error Autocorrelation Processing in Coprime Arrays, in Digital Signal Processing (Elsevier), 2021.
Preprint @ arXiv, Science Direct, Matlab Codes[J5] D. G. Chachlakis and P. P. Markopoulos, Structured Autocorrelation Matrix Estimation for Coprime Arrays, in Signal Processing (Elsevier), 2021.
Preprint @ arXiv, Science Direct, Python Codes, C++ Codes[J4] D. G. Chachlakis, M. Dhanaraj, A. Prater-Bennette, and P. P. Markopoulos, Dynamic L1-norm Tucker Tensor Decomposition, accepted to appear in IEEE Journal of Selected Topics In Signal Processing, 2021.
Preprint @ TechRxiv, IEEE Xplore[J3] M. Sharma, M. Dhanaraj, S. Karnam, D. G. Chachlakis, R. Ptucha, P. P. Markopoulos, and E. Saber, YOLOrs: Object Detection in Multimodal Remote Sensing Imagery, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, November 2020.
IEEE Xplore[J2] D. G. Chachlakis, A. Prater-Bennette, and P. P. Markopoulos, L1-norm Tucker Tensor Decomposition, IEEE Access, November 2019.
Preprint @ arXiv, IEEE Xplore, Python Codes[J1] P. P. Markopoulos, D. G. Chachlakis, and E. E. Papalexakis, The exact solution to rank-1 L1-norm TUCKER2 decomposition, IEEE Signal Processing Letters, April 2018.
Preprint @ arXiv, IEEE Xplore, Python Codes
Conference Articles
Conference Articles
[C17] D. G. Chachlakis, M. Yousuf, and T. Filler, DeepSync: Affine Transform Recovery Via Convolutional Neural Networks for Watermark Synchronization, in Proceedings Electronic Imaging, San Francisco, CA, February 2024.
[C16] Y. Tsitsikas, D. G. Chachlakis, E. E. Papalexakis, and P. P. Markopoulos, L1-norm RESCAL decomposition, in Proceedings IEEE Asilomar Conference on Signals, Systems, and Computers (IEEE ACSSC 2020), Pacific Grove, CA, November 2020.
[C15] D. G. Chachlakis and P. P. Markopoulos, Novel Algorithms for Lp-quasi-norm Principal-Component Analysis, in Proceedings European Signal Processing Conference (EUSIPCO 2020), Amsterdam, NL, January 2021.
IEEEXplore, Python Codes[C14] D. G. Chachlakis, A. Prater-Bennette, and P. P. Markopoulos, L1-norm higher-order orthogonal iterations for robust tensor analysis, in Proceedings 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2020), Barcelona, Spain, May 2020.
IEEE Xplore, Python Codes[C13] M. Dhanaraj, M. Sharma, T. Sarkar, S. Karnam , D. G. Chachlakis, R. Ptucha, P. P. Markopoulos, and E. Saber, Vehicle Detection from multi-modal aerial imagery using YOLOv3 with mid-level fusion, in Proceedings 2020 SPIE Defense and Commercial Sensing (SPIE DCS 2020), Anaheim, CA, April 2020.
SPIE Digital Library[C12] D. G. Chachlakis and P. P. Markopoulos, Combinatorial search for the Lp-norm principal component of a matrix, in Proceedings IEEE Asilomar Conference on Signals, Systems, and Computers (IEEE ACSSC 2019), Pacific Grove, CA, November 2019.
IEEE Xplore, Python Codes[C11] K. Tountas, D. G. Chachlakis, P. P. Markopoulos, D. A. Pados, Iteratively Re-weighted L1-norm PCA of Tensor Data, in Proceedings IEEE Asilomar Conference on Signals, Systems, and Computers (IEEE ACSSC 2019), Pacific Grove, CA, November 2019.
IEEE Xplore[C10] D. G. Chachlakis, Y. Tsitsikas, E. E. Papalexakis, and P. P. Markopoulos, Robust multi-relational learning with absolute projection RESCAL, in Proceedings IEEE Global Conference on Information Processing (IEEE GlobalSIP 2019), Ottawa, Canada, November 2019.
IEEE Xplore, Python Codes[C9] D. G. Chachlakis, M. Dhanaraj, A. Prater-Bennette, and P. P. Markopoulos, Options for multimodal classification based on L1-TUCKER decomposition, in Proceedings SPIE Defense and Commercial Sensing (SPIE DCS 2019), Baltimore, MD, April 2019.
SPIE Digital Library[C8] P. P. Markopoulos, D. G. Chachlakis, and A. Prater-Bennette, L1-norm Higher-Order Singular-Value Decomposition, in Proceedings IEEE Global Conference on Signal and Information Processing (IEEE GlobalSIP 2018), Anaheim, CA, November 2018.
IEEE Xplore, Python Codes[C7] M. Dhanaraj, D. G. Chachlakis, and P. P. Markopoulos, Incremental complex L1-PCA for direction-of-arrival estimation, in Proceedings IEEE Western New York Signal and Image Processing Workshop (IEEE WNYSIPW 2018), Rochester, NY, October 2018.
IEEE Xplore[C6] D. G. Chachlakis, P. P. Markopoulos, and F. Ahmad, MMSE-based autocorrelation sampling for coprime arrays, in Proceedings IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2018), Calgary, Canada, April 2018.
IEEE Xplore, Python Codes[C5] D. G. Chachlakis and P. P. Markopoulos, Novel algorithms for exact and efficient L1-norm-based TUCKER2 decomposition, in Proceedings IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2018), Calgary, Canada, April 2018.
IEEE Xplore, Python Codes[C4] D. G. Chachlakis and P. P. Markopoulos, Robust decomposition of 3-way tensors based on L1-norm, in Proceedings SPIE Defense and Commercial Sensing (SPIE DCS 2018), Orlando, FL, April 2018.
SPIE Digital Library, Python Codes[C3] D. G. Chachlakis, P. P. Markopoulos, and F. Ahmad, The mean-squared-error of autocorrelation sampling in coprime arrays, in Proceedings IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (IEEE CAMSAP 2017), Curacao, Dutch Antilles, December 2017.
IEEE Xplore, Python Codes[C2] D. G. Chachlakis, P. P. Markopoulos, R. J. Muchhala, and A. Savakis, Visual tracking with L1-Grassmann manifold modeling, in Proceedings SPIE Defense and Commercial Sensing (SPIE DCS 2017), Anaheim, CA, April 2017.
SPIE Digital Library[C1] Y. Fountzoulas, D. G. Chachlakis, G. N. Karystinos, and A. Bletsas, GLRT-optimal blind MSK detection with log-linear complexity, in Proceedings International Conference on Telecommunications (IEEE ICT 2016), Thessaloniki, Greece, May 2016.
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