Internship at MERL

MERL's internship program gives students excellent opportunities to work in an industrial research lab environment side-by-side with world-class researchers.



Program Overview

The internship program at MERL emphasizes close collaboration with a particular researcher or members of a small team. Primary areas of work include:

  1. Artificial Intelligence including:
    1. Machine Learning
    2. Computer Vision
    3. Speech Recognition
    4. Acoustic Analysis
    5. Data Analytics
  2. Cyber-Physical Systems including:
    1. Signal Processing
    2. Digital & Optical Communications
    3. Multi-Physical Modeling
    4. Planning, Optimization & Control
    5. Dynamical Systems
  3. Design of Algorithms and Semiconductor Devices

The primary intent of MERL's internship program is to provide interns with experiences that help them enhance and accelerate their professional career, while contributing to new or ongoing initiatives at MERL. Interns are exposed to relevant industrial problems ranging from speculative and exploratory research to more practical engineering tasks. Interns have a chance to become familiar with the open research culture at MERL, produce publishable work, and develop an appreciation for how breakthrough research makes an impact on future products.

MERL considers graduate students from all over the world. As many of our projects benefit from specialized knowledge in a given field, graduate students pursuing a Ph.D. typically fill the majority of internship openings.

Set Your Own Path - Internships at MERL

The duration of a typical internship varies from 3 months to 1 year, with the majority of interns being employed during the summer months. As the summer is a very busy time, we encourage applications for non-summer internships and also prefer early applications for summer internships. Hiring decisions for the summer are typically made around January/February to allow enough time for any necessary paperwork (such as visa applications or other work eligibility forms) to be completed.

Boston is a fantastic city with one of the largest student populations of any city in the US. There are many social and leisure activities to get involved in, and no shortage of things to do during your stay. With close proximity to major universities such as MIT and Harvard, there are also many chances to attend seminars and lectures by well-known experts in various fields. During the summer, MERL organizes a number of social activities for interns. Some past activities included BBQ outings, whale watching and movie nights.

The key benefits of interning at MERL:

  1. Experience: At MERL, you work closely with top researchers and participate in a lab-wide R&D culture with a unique mix of curiosity-driven research and market-oriented prototyping.
  2. Publication: MERL is an open research lab with a strong tradition of publication in high-impact peer-reviewed venues. Internships typically aim at producing publication-worthy results and interns are co-authors on many papers each year.
  3. Compensation: MERL offers competitive salaries based on relevant education, skills, and work experience.
  4. Perks: MERL provides relocation assistance including travel costs; subsidies for commuting costs; and entertainment events for interns to get to know Boston and each other.
  5. Networking: Interns are encouraged to network with MERL's research staff, fellow interns, and faculty at local universities. Weekly socials and seminars provide many venues.
  6. Opportunity: Many MERL interns have gone on to distinguished careers at MERL. MERL research hosts have often provided letters of reference supporting their ex-interns' candidacies for jobs, fellowships, and tenure.
View Internship Openings
  • Recent Publications with MERL Interns

    Publications are an important output of MERL's research, and internships often lead to one or more publications. Below is a sample listing of some recent publications that include interns as co-authors. Please visit our publications page for a complete listing of MERL papers.

    •  Amadio, F., Dalla Libera, A., Nikovski, D.N., Carli, R., Romeres, D., "Learning Control from Raw Position Measurements", arXiv, January 2023.
      BibTeX arXiv
      • @article{Amadio2023jan,
      • author = {Amadio, Fabio and Dalla Libera, Alberto and Nikovski, Daniel N. and Carli, Ruggero and Romeres, Diego},
      • title = {Learning Control from Raw Position Measurements},
      • journal = {arXiv},
      • year = 2023,
      • month = jan,
      • url = {https://arxiv.org/abs/2301.13183}
      • }
    •  Kojima, K., Koike-Akino, T., Wang, Y., Jung Minwoo, , Brand, M.E., "Inverse design of two-dimensional freeform metagrating using an adversarial conditional variational autoencoder", SPIE Photonics West, January 2023.
      BibTeX TR2023-004 PDF
      • @inproceedings{Kojima2023jan,
      • author = {Kojima, Keisuke and Koike-Akino, Toshiaki and Wang, Ye and Jung Minwoo and Brand, Matthew E.},
      • title = {Inverse design of two-dimensional freeform metagrating using an adversarial conditional variational autoencoder},
      • booktitle = {SPIE Photonics West},
      • year = 2023,
      • month = jan,
      • url = {https://www.merl.com/publications/TR2023-004}
      • }
    •  Amadio, F., Dalla Libera, A., Antonello, R., Nikovski, D.N., Carli, R., Romeres, D., "Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application", IEEE Transaction on Robotics, DOI: 10.1109/​TRO.2022.3184837, Vol. 38, No. 6, pp. 3879-3898, December 2022.
      BibTeX TR2022-154 PDF
      • @article{Romeres2022dec,
      • author = {Amadio, Fabio and Dalla Libera, Alberto and Antonello, Riccardo and Nikovski, Daniel N. and Carli, Ruggero and Romeres, Diego},
      • title = {Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application},
      • journal = {IEEE Transaction on Robotics},
      • year = 2022,
      • volume = 38,
      • number = 6,
      • pages = {3879--3898},
      • month = dec,
      • doi = {10.1109/TRO.2022.3184837},
      • issn = {1941-0468},
      • url = {https://www.merl.com/publications/TR2022-154}
      • }
    •  Wang, B., Albader, M., Inoue, H., Kanemaru, M., "Induction Motor Eccentricity Fault Analysis and Quantification with Modified Winding Function based Model", International Conference on Electric Machines and Systems, DOI: 10.1109/​ICEMS56177.2022.9983377, December 2022, pp. 1-6.
      BibTeX TR2022-153 PDF
      • @inproceedings{Wang2022dec,
      • author = {Wang, Bingnan and Albader, Mesaad and Inoue, Hiroshi and Kanemaru, Makoto},
      • title = {Induction Motor Eccentricity Fault Analysis and Quantification with Modified Winding Function based Model},
      • booktitle = {2022 25th International Conference on Electrical Machines and Systems (ICEMS)},
      • year = 2022,
      • pages = {1--6},
      • month = dec,
      • doi = {10.1109/ICEMS56177.2022.9983377},
      • url = {https://www.merl.com/publications/TR2022-153}
      • }
    •  Cherian, A., Peng, K.-C., Lohit, S., Smith, K., Tenenbaum, J.B., "Are Deep Neural Networks SMARTer than Second Graders?", arXiv, December 2022.
      BibTeX arXiv
      • @inproceedings{Cherian2022dec,
      • author = {Cherian, Anoop and Peng, Kuan-Chuan and Lohit, Suhas and Smith, Kevin and Tenenbaum, Joshua B.},
      • title = {Are Deep Neural Networks SMARTer than Second Graders?},
      • booktitle = {arXiv},
      • year = 2022,
      • month = dec,
      • url = {https://arxiv.org/abs/2212.09993}
      • }
    •  Singh, A., Jones, M.J., Learned-Miller, E., "EVAL: Explainable Video Anomaly Localization", arXiv, December 2022.
      BibTeX arXiv
      • @article{Singh2022dec,
      • author = {Singh, Ashish and Jones, Michael J. and Learned-Miller, Erik},
      • title = {EVAL: Explainable Video Anomaly Localization},
      • journal = {arXiv},
      • year = 2022,
      • month = dec,
      • url = {https://arxiv.org/abs/2212.07900}
      • }
    •  Soushi Ueno, , Fujihashi, T., Koike-Akino, T., Watanabe, T., "Point Cloud Soft Multicast for Untethered XR Users", IEEE Transactions on Multimedia, December 2022.
      BibTeX TR2022-164 PDF
      • @article{SoushiUeno;Fujihashi2022dec,
      • author = {Soushi Ueno and Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi},
      • title = {Point Cloud Soft Multicast for Untethered XR Users},
      • journal = {IEEE Transactions on Multimedia},
      • year = 2022,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2022-164}
      • }
    •  Wang, Z.-Q., Wichern, G., Watanabe, S., Le Roux, J., "STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latency", IEEE/ACM Transactions on Audio, Speech, and Language Processing, December 2022.
      BibTeX TR2022-166 PDF
      • @article{Wang2022dec2,
      • author = {Wang, Zhong-Qiu and Wichern, Gordon and Watanabe, Shinji and Le Roux, Jonathan},
      • title = {STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latency},
      • journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
      • year = 2022,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2022-166}
      • }
    •  Petermann, D., Wichern, G., Subramanian, A.S., Wang, Z.-Q., Le Roux, J., "Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks", arXiv, December 2022.
      BibTeX arXiv
      • @article{Petermann2022dec2,
      • author = {Petermann, Darius and Wichern, Gordon and Subramanian, Aswin Shanmugam and Wang, Zhong-Qiu and Le Roux, Jonathan},
      • title = {Tackling the Cocktail Fork Problem for Separation and Transcription of Real-World Soundtracks},
      • journal = {arXiv},
      • year = 2022,
      • month = dec,
      • url = {https://arxiv.org/abs/2212.07327}
      • }
    •  Mowlavi, S., Nabi, S., "Optimal Control of PDEs Using Physics-Informed Neural Networks", Advances in Neural Information Processing Systems (NeurIPS) workshop, December 2022.
      BibTeX TR2022-163 PDF
      • @inproceedings{Mowlavi2022dec,
      • author = {Mowlavi, Saviz and Nabi, Saleh},
      • title = {Optimal Control of PDEs Using Physics-Informed Neural Networks},
      • booktitle = {Advances in Neural Information Processing Systems (NeurIPS) workshop},
      • year = 2022,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2022-163}
      • }
    •  Romero, O., Benosman, M., Pappas, G., "ODE Discretization Schemes as Optimization Algorithms", IEEE Conference on Decision and Control (CDC), December 2022.
      BibTeX TR2022-159 PDF
      • @inproceedings{Romero2022dec,
      • author = {Romero, Orlando and Benosman, Mouhacine and Pappas, Geroge},
      • title = {ODE Discretization Schemes as Optimization Algorithms},
      • booktitle = {IEEE Conference on Decision and Control (CDC)},
      • year = 2022,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2022-159}
      • }
    •  Tu, H., Wang, Y., Li, X., Fang, H., "Spatio-Temporal Thermal Monitoring for Lithium-Ion Batteries via Kriged Kalman Filtering", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC51059.2022.9992543, December 2022.
      BibTeX TR2022-162 PDF
      • @inproceedings{Tu2022dec2,
      • author = {Tu, Hao and Wang, Yebin and Li, Xianglin and Fang, Huazhen},
      • title = {Spatio-Temporal Thermal Monitoring for Lithium-Ion Batteries via Kriged Kalman Filtering},
      • booktitle = {IEEE Conference on Decision and Control (CDC)},
      • year = 2022,
      • month = dec,
      • doi = {10.1109/CDC51059.2022.9992543},
      • url = {https://www.merl.com/publications/TR2022-162}
      • }
    •  Raghunathan, A., Jha, D.K., Romeres, D., "Homogeneous Infeasible Interior Point Method for Convex Quadratic Programs", IEEE Conference on Decision and Control (CDC), December 2022.
      BibTeX TR2022-157 PDF
      • @inproceedings{Raghunathan2022dec,
      • author = {Raghunathan, Arvind and Jha, Devesh K. and Romeres, Diego},
      • title = {Homogeneous Infeasible Interior Point Method for Convex Quadratic Programs},
      • booktitle = {IEEE Conference on Decision and Control (CDC)},
      • year = 2022,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2022-157}
      • }
    •  Greiff, M., Berntorp, K., "Distributed Kalman Filtering: When to Share Measurements", IEEE Conference on Decision and Control (CDC), DOI: 10.1109/​CDC51059.2022.9993404, December 2022, pp. 5399-5404.
      BibTeX TR2022-158 PDF
      • @inproceedings{Greiff2022dec,
      • author = {Greiff, Marcus and Berntorp, Karl},
      • title = {Distributed Kalman Filtering: When to Share Measurements},
      • booktitle = {IEEE Conference on Decision and Control (CDC)},
      • year = 2022,
      • pages = {5399--5404},
      • month = dec,
      • publisher = {IEEE},
      • doi = {10.1109/CDC51059.2022.9993404},
      • issn = {2576-2370},
      • isbn = {978-1-6654-6761-2},
      • url = {https://www.merl.com/publications/TR2022-158}
      • }
    •  Singla, V., Aeron, S., Koike-Akino, T., Parsons, K., Brand, M.E., Wang, Y., "Learning with noisy labels using low-dimensional model trajectory", NeurIPS 2022 Workshop on Distribution Shifts (DistShift), December 2022.
      BibTeX TR2022-156 PDF
      • @inproceedings{Singla2022dec,
      • author = {Singla, Vasu and Aeron, Shuchin and Koike-Akino, Toshiaki and Parsons, Kieran and Brand, Matthew E. and Wang, Ye},
      • title = {Learning with noisy labels using low-dimensional model trajectory},
      • booktitle = {NeurIPS 2022 Workshop on Distribution Shifts (DistShift)},
      • year = 2022,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2022-156}
      • }
    •  Jha, D.K., Jain, S., Romeres, D., Yerazunis, W.S., Nikovski, D., "Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control", arXiv, December 2022.
      BibTeX arXiv
      • @article{Jha2022dec,
      • author = {Jha, Devesh K. and Jain, Siddarth and Romeres, Diego and Yerazunis, William S. and Nikovski, Daniel},
      • title = {Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control},
      • journal = {arXiv},
      • year = 2022,
      • month = dec,
      • url = {https://arxiv.org/abs/2212.01434}
      • }
    •  Tu, H., Moura, S., Wang, Y., Fang, H., "Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries", Applied Energy, DOI: 10.1016/​j.apenergy.2022.120289, Vol. 329, December 2022.
      BibTeX TR2022-155 PDF
      • @article{Tu2022dec,
      • author = {Tu, Hao and Moura, Scott and Wang, Yebin and Fang, Huazhen},
      • title = {Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries},
      • journal = {Applied Energy},
      • year = 2022,
      • volume = 329,
      • month = dec,
      • doi = {10.1016/j.apenergy.2022.120289},
      • url = {https://www.merl.com/publications/TR2022-155}
      • }
    •  Shimoya, R., Morimoto, T., van Baar, J., Boufounos, P.T., Ma, Y., Mansour, H., "Learning Occlusion-Aware Dense Correspondences for Multi-Modal Images", IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), November 2022.
      BibTeX TR2022-149 PDF
      • @inproceedings{Shimoya2022nov,
      • author = {Shimoya, Ryosuke and Morimoto, Tahashi and van Baar, Jeroen and Boufounos, Petros T. and Ma, Yanting and Mansour, Hassan},
      • title = {Learning Occlusion-Aware Dense Correspondences for Multi-Modal Images},
      • booktitle = {IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)},
      • year = 2022,
      • month = nov,
      • url = {https://www.merl.com/publications/TR2022-149}
      • }
    •  Romero, D., Lohit, S., "Learning Partial Equivariances from Data", Advances in Neural Information Processing Systems (NeurIPS), November 2022.
      BibTeX TR2022-148 PDF Presentation
      • @inproceedings{Romero2022nov,
      • author = {Romero, David and Lohit, Suhas},
      • title = {Learning Partial Equivariances from Data},
      • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
      • year = 2022,
      • month = nov,
      • url = {https://www.merl.com/publications/TR2022-148}
      • }
    •  Wang, H., Lohit, S., Jones, M.J., Fu, R., "What Makes a “Good” Data Augmentation in Knowledge Distillation – A Statistical Perspective", Advances in Neural Information Processing Systems (NeurIPS), November 2022.
      BibTeX TR2022-147 PDF
      • @inproceedings{Wang2022nov,
      • author = {Wang, Huan and Lohit, Suhas and Jones, Michael J. and Fu, Raymond},
      • title = {What Makes a “Good” Data Augmentation in Knowledge Distillation – A Statistical Perspective},
      • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
      • year = 2022,
      • month = nov,
      • url = {https://www.merl.com/publications/TR2022-147}
      • }
    •  Bralios, D., Tzinis, E., Wichern, G., Smaragdis, P., Le Roux, J., "Latent Iterative Refinement for Modular Source Separation", arXiv, November 2022.
      BibTeX arXiv
      • @article{Bralios2022nov,
      • author = {Bralios, Dimitrios and Tzinis, Efthymios and Wichern, Gordon and Smaragdis, Paris and Le Roux, Jonathan},
      • title = {Latent Iterative Refinement for Modular Source Separation},
      • journal = {arXiv},
      • year = 2022,
      • month = nov,
      • url = {https://arxiv.org/abs/2211.11917}
      • }
    •  Liu, Y., Sholokhov, A., Mansour, H., Nabi, S., "Physics-Informed Koopman Network", arXiv, November 2022.
      BibTeX arXiv
      • @article{Liu2022nov,
      • author = {Liu, Yuying and Sholokhov, Aleksei and Mansour, Hassan and Nabi, Saleh},
      • title = {Physics-Informed Koopman Network},
      • journal = {arXiv},
      • year = 2022,
      • month = nov,
      • url = {https://arxiv.org/abs/2211.09419}
      • }
    •  Skvortcov, P., Koike-Akino, T., Millar, D.S., Kojima, K., Parsons, K., "Dual Coding Concatenation for Burst-Error Correction in Probabilistic Amplitude Shaping", IEEE Journal of Lightwave Technology, DOI: 10.1109/​JLT.2022.3178675, Vol. 40, No. 16, pp. 5502-5513, November 2022.
      BibTeX TR2022-145 PDF
      • @article{Skvortcov2022nov,
      • author = {Skvortcov, Pavel and Koike-Akino, Toshiaki and Millar, David S. and Kojima, Keisuke and Parsons, Kieran},
      • title = {Dual Coding Concatenation for Burst-Error Correction in Probabilistic Amplitude Shaping},
      • journal = {IEEE Journal of Lightwave Technology},
      • year = 2022,
      • volume = 40,
      • number = 16,
      • pages = {5502--5513},
      • month = nov,
      • doi = {10.1109/JLT.2022.3178675},
      • issn = {1558-2213},
      • url = {https://www.merl.com/publications/TR2022-145}
      • }
    •  Tzinis, E., Wichern, G., Smaragdis, P., Le Roux, J., "Optimal Condition Training for Target Source Separation", arXiv, November 2022.
      BibTeX arXiv
      • @article{Tzinis2022nov,
      • author = {Tzinis, Efthymios and Wichern, Gordon and Smaragdis, Paris and Le Roux, Jonathan},
      • title = {Optimal Condition Training for Target Source Separation},
      • journal = {arXiv},
      • year = 2022,
      • month = nov,
      • url = {https://arxiv.org/abs/2211.05927}
      • }
    •  Aguilar Marsillach, D., Di Cairano, S., Weiss, A., "Abort-Safe Spacecraft Rendezvous on Elliptic Orbits", IEEE Transactions on Control Systems Technology, November 2022.
      BibTeX TR2022-142 PDF
      • @article{AguilarMarsillach2022nov,
      • author = {Aguilar Marsillach, Daniel and Di Cairano, Stefano and Weiss, Avishai},
      • title = {Abort-Safe Spacecraft Rendezvous on Elliptic Orbits},
      • journal = {IEEE Transactions on Control Systems Technology},
      • year = 2022,
      • month = nov,
      • url = {https://www.merl.com/publications/TR2022-142}
      • }
    •  Yen, H., Germain, F., Wichern, G., Le Roux, J., "Cold Diffusion for Speech Enhancement", arXiv, November 2022.
      BibTeX arXiv
      • @article{Yen2022nov,
      • author = {Yen, Hao and Germain, Francois and Wichern, Gordon and Le Roux, Jonathan},
      • title = {Cold Diffusion for Speech Enhancement},
      • journal = {arXiv},
      • year = 2022,
      • month = nov,
      • url = {https://arxiv.org/abs/2211.02527}
      • }
    •  Chatterjee, M., Ahuja, N., Cherian, A., "Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation", Advances in Neural Information Processing Systems (NeurIPS), November 2022.
      BibTeX TR2022-140 PDF
      • @inproceedings{Chatterjee2022nov,
      • author = {Chatterjee, Moitreya and Ahuja, Narendra and Cherian, Anoop},
      • title = {Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation},
      • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
      • year = 2022,
      • month = nov,
      • url = {https://www.merl.com/publications/TR2022-140}
      • }
    •  Yu, X., Smedemark-Margulies, N., Aeron, S., Koike-Akino, T., Moulin, P., Brand, M.E., Parsons, K., Wang, Y., "Improving Adversarial Robustness by Learning Shared Information", Pattern Recognition, DOI: 10.1016/​j.patcog.2022.109054, Vol. 134, pp. 109054, November 2022.
      BibTeX TR2022-141 PDF
      • @article{Yu2022nov,
      • author = {Yu, Xi and Smedemark-Margulies, Niklas and Aeron, Shuchin and Koike-Akino, Toshiaki and Moulin, Pierre and Brand, Matthew E. and Parsons, Kieran and Wang, Ye},
      • title = {Improving Adversarial Robustness by Learning Shared Information},
      • journal = {Pattern Recognition},
      • year = 2022,
      • volume = 134,
      • pages = 109054,
      • month = nov,
      • doi = {10.1016/j.patcog.2022.109054},
      • issn = {0031-3203},
      • url = {https://www.merl.com/publications/TR2022-141}
      • }
    •  Schneider, T., Belousov, B., Chalvatzaki, G., Romeres, D., Jha, D.K., Peters, J., "Active Exploration for Robotic Manipulation", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2022.
      BibTeX TR2022-139 PDF
      • @inproceedings{Schneider2022oct,
      • author = {Schneider, Tim and Belousov, Boris and Chalvatzaki, Georgia and Romeres, Diego and Jha, Devesh K. and Peters, Jan},
      • title = {Active Exploration for Robotic Manipulation},
      • booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
      • year = 2022,
      • month = oct,
      • url = {https://www.merl.com/publications/TR2022-139}
      • }
    •  Ma, Y., Wang, Y., Di Cairano, S., Koike-Akino, T., Guo, J., Orlik, P.V., Guan, X., Lu, C., "Smart Actuation for End-Edge Industrial Control Systems", IEEE Transactions on Automation Science and Engineering, DOI: 10.1109/​TASE.2022.3216217, October 2022.
      BibTeX TR2022-138 PDF
      • @article{Ma2022oct,
      • author = {Ma, Yehan and Wang, Yebin and Di Cairano, Stefano and Koike-Akino, Toshiaki and Guo, Jianlin and Orlik, Philip V. and Guan, Xinping and Lu, Chenyang},
      • title = {Smart Actuation for End-Edge Industrial Control Systems},
      • journal = {IEEE Transactions on Automation Science and Engineering},
      • year = 2022,
      • month = oct,
      • doi = {10.1109/TASE.2022.3216217},
      • url = {https://www.merl.com/publications/TR2022-138}
      • }
    •  Mowlavi, S., Nabi, S., "Optimal control of PDEs using physics-informed neural networks", Journal of Computational Physics, October 2022.
      BibTeX TR2022-143 PDF
      • @article{Mowlavi2022oct,
      • author = {Mowlavi, Saviz and Nabi, Saleh},
      • title = {Optimal control of PDEs using physics-informed neural networks},
      • journal = {Journal of Computational Physics},
      • year = 2022,
      • month = oct,
      • url = {https://www.merl.com/publications/TR2022-143}
      • }
    •  Xia, H., Wang, P., Ding, Z., "Incomplete Multi-view Domain Adaptation via Channel Enhancement and Knowledge Transfer", European Conference on Computer Vision (ECCV), DOI: 10.1007/​978-3-031-19830-4_12, October 2022.
      BibTeX TR2022-134 PDF
      • @inproceedings{Xia2022oct,
      • author = {Xia, Haifeng and Wang, Pu and Ding, Zhengming},
      • title = {Incomplete Multi-view Domain Adaptation via Channel Enhancement and Knowledge Transfer},
      • booktitle = {European Conference on Computer Vision (ECCV)},
      • year = 2022,
      • month = oct,
      • doi = {10.1007/978-3-031-19830-4_12},
      • isbn = {978-3-031-19830-4},
      • url = {https://www.merl.com/publications/TR2022-134}
      • }
    •  Ahmed, S.M., Lohit, S., Peng, K.-C., Jones, M.J., Roy Chowdhury, A.K., "Cross-Modal Knowledge Transfer Without Task-Relevant Source Data", European Conference on Computer Vision (ECCV), Avidan, S and Brostow, G and Cisse M and Farinella, G.M. and Hassner T., Eds., DOI: 10.1007/​978-3-031-19830-4_7, October 2022, pp. 111-127.
      BibTeX TR2022-135 PDF Video Software Presentation
      • @inproceedings{Ahmed2022oct,
      • author = {Ahmed, Sk Miraj and Lohit, Suhas and Peng, Kuan-Chuan and Jones, Michael J. and Roy Chowdhury, Amit K},
      • title = {Cross-Modal Knowledge Transfer Without Task-Relevant Source Data},
      • booktitle = {Computer Vision--ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23--27, 2022, Proceedings, Part XXXIV},
      • year = 2022,
      • editor = {Avidan, S and Brostow, G and Cisse M and Farinella, G.M. and Hassner T.},
      • pages = {111--127},
      • month = oct,
      • publisher = {Springer},
      • doi = {10.1007/978-3-031-19830-4_7},
      • isbn = {978-3-031-19830-4},
      • url = {https://www.merl.com/publications/TR2022-135}
      • }
    •  Mansour, H., Lohit, S., Boufounos, P.T., "Distributed Radar Autofocus Imaging Using Deep Priors", IEEE International Conference on Image Processing (ICIP), October 2022.
      BibTeX TR2022-129 PDF Video
      • @inproceedings{Mansour2022oct,
      • author = {Mansour, Hassan and Lohit, Suhas and Boufounos, Petros T.},
      • title = {Distributed Radar Autofocus Imaging Using Deep Priors},
      • booktitle = {IEEE International Conference on Image Processing (ICIP)},
      • year = 2022,
      • month = oct,
      • url = {https://www.merl.com/publications/TR2022-129}
      • }
    •  Koike-Akino, T., Wang, Y., "quEEGNet: Quantum AI for Biosignal Processing", IEEE Conference on Biomedical and Health Informatics (BHI), September 2022.
      BibTeX TR2022-121 PDF Video Presentation
      • @inproceedings{Koike-Akino2022sep,
      • author = {Koike-Akino, Toshiaki and Wang, Ye},
      • title = {quEEGNet: Quantum AI for Biosignal Processing},
      • booktitle = {IEEE Conference on Biomedical and Health Informatics (BHI)},
      • year = 2022,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2022-121}
      • }
    •  Tsiligkaridis, A., Zhang, J., Paschalidis, I.C., Taguchi, H., Sakajo, S., Nikovski, D.N., "Context-Aware Destination and Time-To-Destination Prediction Using Machine Learning", IEEE International Smart Cities Conference, DOI: 10.1109/​ISC255366.2022.9922593, September 2022.
      BibTeX TR2022-120 PDF
      • @inproceedings{Tsiligkaridis2022sep,
      • author = {Tsiligkaridis, Athanasios and Zhang, Jing and Paschalidis, Ioannis Ch. and Taguchi, Hiroshi and Sakajo, Satoko and Nikovski, Daniel N.},
      • title = {Context-Aware Destination and Time-To-Destination Prediction Using Machine Learning},
      • booktitle = {IEEE International Smart Cities Conference},
      • year = 2022,
      • month = sep,
      • doi = {10.1109/ISC255366.2022.9922593},
      • url = {https://www.merl.com/publications/TR2022-120}
      • }
    •  Wang, S., Guo, J., Wang, P., Parsons, K., Orlik, P.V., Nagai, Y., Sumi, T., Pathak, P., ,, "X-Disco: Cross-technology Neighbor Discovery", IEEE International Conference on Sensing, Communication, and Networking, September 2022.
      BibTeX TR2022-119 PDF
      • @inproceedings{Wang2022sep2,
      • author = {Wang, Shuai and Guo, Jianlin and Wang, Pu and Parsons, Kieran and Orlik, Philip V. and Nagai, Yukimasa and Sumi, Takenori and Pathak, Parth and},
      • title = {X-Disco: Cross-technology Neighbor Discovery},
      • booktitle = {IEEE International Conference on Sensing, Communication, and Networking},
      • year = 2022,
      • month = sep,
      • url = {https://www.merl.com/publications/TR2022-119}
      • }
    •  Zawislak, R., Greiff, M., Kim, K.J., Berntorp, K., Di Cairano, S., Mao, K., Parsons, K., Orlik, P.V., Sato, Y., "GNSS Multipath Detection Aided by Unsupervised Domain Adaptation", ION-GNSS+ Conference, DOI: 10.33012/​2022.18333, September 2022, pp. 2127-2137.
      BibTeX TR2022-118 PDF
      • @inproceedings{Zawislak2022sep,
      • author = {Zawislak, Remy and Greiff, Marcus and Kim, Kyeong Jin and Berntorp, Karl and Di Cairano, Stefano and Mao, Konishi and Parsons, Kieran and Orlik, Philip V. and Sato, Yuki},
      • title = {GNSS Multipath Detection Aided by Unsupervised Domain Adaptation},
      • booktitle = {ION-GNSS+ Conference},
      • year = 2022,
      • pages = {2127--2137},
      • month = sep,
      • publisher = {Institute of Navigation},
      • doi = {10.33012/2022.18333},
      • url = {https://www.merl.com/publications/TR2022-118}
      • }
    •  Rapp, J., Mansour, H., Boufounos, P.T., Orlik, P.V., Koike-Akino, T., Parsons, K., "Maximum Likelihood Surface Profilometry via Optical Coherence Tomography", IEEE International Conference on Image Processing (ICIP), DOI: 10.1109/​ICIP46576.2022.9897247, September 2022, pp. 1561-1565.
      BibTeX TR2022-117 PDF Video
      • @inproceedings{Rapp2022sep,
      • author = {Rapp, Joshua and Mansour, Hassan and Boufounos, Petros T. and Orlik, Philip V. and Koike-Akino, Toshiaki and Parsons, Kieran},
      • title = {Maximum Likelihood Surface Profilometry via Optical Coherence Tomography},
      • booktitle = {IEEE International Conference on Image Processing (ICIP)},
      • year = 2022,
      • pages = {1561--1565},
      • month = sep,
      • doi = {10.1109/ICIP46576.2022.9897247},
      • issn = {978-1-6654-9620-9},
      • isbn = {2381-8549},
      • url = {https://www.merl.com/publications/TR2022-117}
      • }
    •  Tzinis, E., Wichern, G., Subramanian, A.S., Smaragdis, P., Le Roux, J., "Heterogeneous Target Speech Separation", Interspeech, DOI: 10.21437/​Interspeech.2022-10717, September 2022, pp. 1796-1800.
      BibTeX TR2022-115 PDF
      • @inproceedings{Tzinis2022sep,
      • author = {Tzinis, Efthymios and Wichern, Gordon and Subramanian, Aswin Shanmugam and Smaragdis, Paris and Le Roux, Jonathan},
      • title = {Heterogeneous Target Speech Separation},
      • booktitle = {Interspeech},
      • year = 2022,
      • pages = {1796--1800},
      • month = sep,
      • doi = {10.21437/Interspeech.2022-10717},
      • url = {https://www.merl.com/publications/TR2022-115}
      • }
    •  Russel, R.H., Benosman, M., van Baar, J., Corcodel, R., "Lyapunov Robust Constrained-MDPs for Sim2Real Transfer Learning" in Federated and Transfer Learning, August 2022.
      BibTeX TR2022-111 PDF
      • @incollection{Russel2022aug,
      • author = {Russel, Reazul Hasan and Benosman, Mouhacine and van Baar, Jeroen and Corcodel, Radu},
      • title = {Lyapunov Robust Constrained-MDPs for Sim2Real Transfer Learning},
      • booktitle = {Federated and Transfer Learning},
      • year = 2022,
      • month = aug,
      • url = {https://www.merl.com/publications/TR2022-111}
      • }
    •  Koike-Akino, T., Wang, P., Yamashita, G., Tsujita, W., Nakajima, M., "Quantum Feature Extraction for THz Multi-Layer Imaging", International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz), DOI: 10.1109/​IRMMW-THz50927.2022.9896037, August 2022.
      BibTeX TR2022-110 PDF Video Presentation
      • @inproceedings{Koike-Akino2022aug,
      • author = {Koike-Akino, Toshiaki and Wang, Pu and Yamashita, Genki and Tsujita, Wataru and Nakajima, M.},
      • title = {Quantum Feature Extraction for THz Multi-Layer Imaging},
      • booktitle = {International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)},
      • year = 2022,
      • month = aug,
      • publisher = {IEEE},
      • doi = {10.1109/IRMMW-THz50927.2022.9896037},
      • issn = {2162-2035},
      • isbn = {978-1-7281-9427-1},
      • url = {https://www.merl.com/publications/TR2022-110}
      • }
    •  Wang, Z., Ahmad, A., Quirynen, R., Wang, Y., Bhagat, A., Zeino, E., Zushi, Y., Di Cairano, S., "Motion Planning and Model Predictive Control for Automated Tractor-Trailer Hitching Maneuver", IEEE Conference on Control Technology and Applications (CCTA), DOI: 10.1109/​CCTA49430.2022.9966181, August 2022, pp. 676-682.
      BibTeX TR2022-109 PDF
      • @inproceedings{Wang2022aug,
      • author = {Wang, Zejiang and Ahmad, Ahmad and Quirynen, Rien and Wang, Yebin and Bhagat, Akshay and Zeino, Eyad and Zushi, Yuji and Di Cairano, Stefano},
      • title = {Motion Planning and Model Predictive Control for Automated Tractor-Trailer Hitching Maneuver},
      • booktitle = {IEEE Conference on Control Technology and Applications (CCTA)},
      • year = 2022,
      • pages = {676--682},
      • month = aug,
      • publisher = {IEEE},
      • doi = {10.1109/CCTA49430.2022.9966181},
      • url = {https://www.merl.com/publications/TR2022-109}
      • }
    •  Menner, M., Chakrabarty, A., Berntorp, K., Di Cairano, S., "Learning Optimization-based Control Policies Directly from Digital Twin Simulations", IEEE Conference on Control Technology and Applications (CCTA), DOI: 10.1109/​CCTA49430.2022.9966077, August 2022, pp. 895-900.
      BibTeX TR2022-108 PDF
      • @inproceedings{Menner2022aug,
      • author = {Menner, Marcel and Chakrabarty, Ankush and Berntorp, Karl and Di Cairano, Stefano},
      • title = {Learning Optimization-based Control Policies Directly from Digital Twin Simulations},
      • booktitle = {IEEE Conference on Control Technology and Applications (CCTA)},
      • year = 2022,
      • pages = {895--900},
      • month = aug,
      • doi = {10.1109/CCTA49430.2022.9966077},
      • url = {https://www.merl.com/publications/TR2022-108}
      • }
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