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.

    •  Ahmed, S.M., Lohit, S., Peng, K.-C., Jones, M.J., Roy-Chowdhury, A.K., "Cross-Modal Knowledge Transfer Without Task-Relevant Source Data", arXiv, September 2022.
      BibTeX arXiv
      • @article{Ahmed2022sep,
      • 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},
      • journal = {arXiv},
      • year = 2022,
      • month = sep,
      • url = {https://arxiv.org/abs/2209.04027}
      • }
    •  Yu, J., Pu, W., Koike-Akino, T., Wang, Y., Orlik, P.V., Buehrer, R.M., "Multi-Band Wi-Fi Sensing with Matched Feature Granularity", IEEE Internet of Things Journal, DOI: 10.1109/​JIOT.2022.3190826, July 2022.
      BibTeX TR2022-105 PDF
      • @article{Yu2022jul,
      • author = {Yu, Jianyuan and Pu, Wang and Koike-Akino, Toshiaki and Wang, Ye and Orlik, Philip V. and Buehrer, R. Michael},
      • title = {Multi-Band Wi-Fi Sensing with Matched Feature Granularity},
      • journal = {IEEE Internet of Things Journal},
      • year = 2022,
      • month = jul,
      • doi = {10.1109/JIOT.2022.3190826},
      • issn = {2327-4662},
      • url = {https://www.merl.com/publications/TR2022-105}
      • }
    •  Yerazunis, W.S., Weiss, A., Radyjowski, P., Cottrell, R., "On-Orbit Fabrication of Spacecraft Structures by Direct Solar Photopolymerization", Solid Freeform Fabrication Symposium, July 2022.
      BibTeX TR2022-104 PDF
      • @inproceedings{Yerazunis2022jul,
      • author = {Yerazunis, William S. and Weiss, Avishai and Radyjowski, Patryk and Cottrell, Richard},
      • title = {On-Orbit Fabrication of Spacecraft Structures by Direct Solar Photopolymerization},
      • booktitle = {Solid Freeform Fabrication Symposium},
      • year = 2022,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2022-104}
      • }
    •  Koike-Akino, T., Wang, Y., "AutoVAE: Mismatched Variational Autoencoder with Irregular Posterior Prior Pairing", IEEE International Symposium on Information Theory (ISIT), DOI: 10.1109/​ISIT50566.2022.9834769, July 2022.
      BibTeX TR2022-071 PDF Video Presentation
      • @inproceedings{Koike-Akino2022jul,
      • author = {Koike-Akino, Toshiaki and Wang, Ye},
      • title = {AutoVAE: Mismatched Variational Autoencoder with Irregular Posterior Prior Pairing},
      • booktitle = {IEEE International Symposium on Information Theory (ISIT)},
      • year = 2022,
      • month = jul,
      • publisher = {IEEE},
      • doi = {10.1109/ISIT50566.2022.9834769},
      • issn = {2157-8117},
      • isbn = {978-1-6654-2159-1},
      • url = {https://www.merl.com/publications/TR2022-071}
      • }
    •  Xia, H., Wang, P., Koike-Akino, T., Wang, Y., Orlik, P.V., Ding, Z., "Adversarial Bi-Regressor Network for Domain Adaptive Regression", International Joint Conference on Artificial Intelligence (IJCAI), Lud De Raedt, Eds., DOI: 10.24963/​ijcai.2022/​501, July 2022, pp. 3608-3614.
      BibTeX TR2022-103 PDF
      • @inproceedings{Xia2022jul,
      • author = {Xia, Haifeng and Wang, Pu and Koike-Akino, Toshiaki and Wang, Ye and Orlik, Philip V. and Ding, Zhengming},
      • title = {Adversarial Bi-Regressor Network for Domain Adaptive Regression},
      • booktitle = {International Joint Conference on Artificial Intelligence (IJCAI)},
      • year = 2022,
      • editor = {Lud De Raedt},
      • pages = {3608--3614},
      • month = jul,
      • publisher = {IJCAI},
      • doi = {10.24963/ijcai.2022/501},
      • url = {https://www.merl.com/publications/TR2022-103}
      • }
    •  Rambhatla, S., Jones, M.J., Chellappa, R., "An Empirical Analysis of Boosting Deep Networks", International Joint Conference on Neural Networks (IJCNN), July 2022.
      BibTeX TR2022-075 PDF Presentation
      • @inproceedings{Rambhatla2022jul,
      • author = {Rambhatla, Sai and Jones, Michael J. and Chellappa, Rama},
      • title = {An Empirical Analysis of Boosting Deep Networks},
      • booktitle = {International Joint Conference on Neural Networks (IJCNN)},
      • year = 2022,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2022-075}
      • }
    •  Raghunathan, A., Cardonha, C., Bergman, D., Nohra, C.J., "Recursive McCormick Linearization of Multilinear Programs", arXiv, July 2022.
      BibTeX arXiv
      • @article{Raghunathan2022jul,
      • author = {Raghunathan, Arvind and Cardonha, Carlos and Bergman, David and Nohra, Carlos J.},
      • title = {Recursive McCormick Linearization of Multilinear Programs},
      • journal = {arXiv},
      • year = 2022,
      • month = jul,
      • url = {https://arxiv.org/abs/2207.08955}
      • }
    •  Zhang, J., Tsiligkaridis, A., Taguchi, H., Raghunathan, A., Nikovski, D.N., "Transformer Networks for Predictive Group Elevator Control", European Control Conference (ECC), DOI: 10.23919/​ECC55457.2022.9838059, July 2022.
      BibTeX TR2022-100 PDF
      • @inproceedings{Zhang2022jul,
      • author = {Zhang, Jing and Tsiligkaridis, Athanasios and Taguchi, Hiroshi and Raghunathan, Arvind and Nikovski, Daniel N.},
      • title = {Transformer Networks for Predictive Group Elevator Control},
      • booktitle = {European Control Conference (ECC)},
      • year = 2022,
      • month = jul,
      • doi = {10.23919/ECC55457.2022.9838059},
      • url = {https://www.merl.com/publications/TR2022-100}
      • }
    •  Jha, D.K., Romeres, D., Yerazunis, W.S., Nikovski, D.N., "Imitation and Supervised Learning of Compliance for Robotic Assembly", European Control Conference (ECC), July 2022.
      BibTeX TR2022-099 PDF
      • @inproceedings{Jha2022jul,
      • author = {Jha, Devesh K. and Romeres, Diego and Yerazunis, William S. and Nikovski, Daniel N.},
      • title = {Imitation and Supervised Learning of Compliance for Robotic Assembly},
      • booktitle = {European Control Conference (ECC)},
      • year = 2022,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2022-099}
      • }
    •  Smedemark-Margulies, N., Wang, Y., Koike-Akino, T., Erdogmus, D., "AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data", International Conference of the IEEE Engineering in Medicine & Biology Society (EMBS), DOI: 10.1109/​EMBC48229.2022.9871649, July 2022.
      BibTeX TR2022-098 PDF
      • @inproceedings{Smedemark-Margulies2022jul,
      • author = {Smedemark-Margulies, Niklas and Wang, Ye and Koike-Akino, Toshiaki and Erdogmus, Deniz},
      • title = {AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data},
      • booktitle = {International Conference of the IEEE Engineering in Medicine & Biology Society (EMBS)},
      • year = 2022,
      • month = jul,
      • publisher = {IEEE},
      • doi = {10.1109/EMBC48229.2022.9871649},
      • issn = {2694-0604},
      • isbn = {978-1-7281-2782-8},
      • url = {https://www.merl.com/publications/TR2022-098}
      • }
    •  Demir, A., Koike-Akino, T., Wang, Y., Erdogmus, D., "EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals", International Conference of the IEEE Engineering in Medicine & Biology Society (EMBS), DOI: 10.1109/​EMBC48229.2022.9871984, July 2022.
      BibTeX TR2022-097 PDF
      • @inproceedings{Demir2022jul,
      • author = {Demir, Andac and Koike-Akino, Toshiaki and Wang, Ye and Erdogmus, Deniz},
      • title = {EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals},
      • booktitle = {International Conference of the IEEE Engineering in Medicine & Biology Society (EMBS)},
      • year = 2022,
      • month = jul,
      • publisher = {IEEE},
      • doi = {10.1109/EMBC48229.2022.9871984},
      • issn = {2694-0604},
      • isbn = {978-1-7281-2782-8},
      • url = {https://www.merl.com/publications/TR2022-097}
      • }
    •  Cao, W., Benosman, M., Zhang, X., Ma, R., "Domain Knowledge-Infused Deep Learning for Automated Analog/Radio-Frequency Circuit Parameter Optimization", ACM/IEEE Design Automation Conference, July 2022.
      BibTeX TR2022-096 PDF
      • @inproceedings{Cao2022jul,
      • author = {Cao, Weidong and Benosman, Mouhacine and Zhang, Xuan and Ma, Rui},
      • title = {Domain Knowledge-Infused Deep Learning for Automated Analog/Radio-Frequency Circuit Parameter Optimization},
      • booktitle = {ACM/IEEE Design Automation Conference},
      • year = 2022,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2022-096}
      • }
    •  Menner, M., Ma, Z., Berntorp, K., Di Cairano, S., "Location and Driver-Specific Vehicle Adaptation Using Crowdsourced Data", European Control Conference (ECC), DOI: 10.23919/​ECC55457.2022.9838135, July 2022, pp. 769-774.
      BibTeX TR2022-095 PDF
      • @inproceedings{Menner2022jul,
      • author = {Menner, Marcel and Ma, Ziyi and Berntorp, Karl and Di Cairano, Stefano},
      • title = {Location and Driver-Specific Vehicle Adaptation Using Crowdsourced Data},
      • booktitle = {European Control Conference (ECC)},
      • year = 2022,
      • pages = {769--774},
      • month = jul,
      • doi = {10.23919/ECC55457.2022.9838135},
      • url = {https://www.merl.com/publications/TR2022-095}
      • }
    •  Greiff, M., Di Cairano, S., Berntorp, K., "Dynamic Clustering for GNSS Positioning with Multiple Receivers", International Conference on Information Fusion (FUSION), DOI: 10.23919/​FUSION49751.2022.9841289, July 2022, pp. 1-7.
      BibTeX TR2022-094 PDF
      • @inproceedings{Greiff2022jul,
      • author = {Greiff, Marcus and Di Cairano, Stefano and Berntorp, Karl},
      • title = {Dynamic Clustering for GNSS Positioning with Multiple Receivers},
      • booktitle = {International Conference on Information Fusion (FUSION)},
      • year = 2022,
      • pages = {1--7},
      • month = jul,
      • doi = {10.23919/FUSION49751.2022.9841289},
      • isbn = {978-1-6654-8941-6},
      • url = {https://www.merl.com/publications/TR2022-094}
      • }
    •  Berntorp, K., Greiff, M., Di Cairano, S., "Bayesian Sensor Fusion of GNSS and Camera With Outlier Adaptation for Vehicle Positioning", International Conference on Information Fusion (FUSION), DOI: 10.23919/​FUSION49751.2022.9841302, July 2022, pp. 1-8.
      BibTeX TR2022-093 PDF
      • @inproceedings{Berntorp2022jul,
      • author = {Berntorp, Karl and Greiff, Marcus and Di Cairano, Stefano},
      • title = {Bayesian Sensor Fusion of GNSS and Camera With Outlier Adaptation for Vehicle Positioning},
      • booktitle = {International Conference on Information Fusion (FUSION)},
      • year = 2022,
      • pages = {1--8},
      • month = jul,
      • doi = {10.23919/FUSION49751.2022.9841302},
      • isbn = {978-1-7377497-2-1},
      • url = {https://www.merl.com/publications/TR2022-093}
      • }
    •  Raghunathan, A., Jha, D.K., Romeres, D., "Python-based Open Source Package for Optimization of Contact-rich Systems", Robotics: Science and Systems, June 2022.
      BibTeX TR2022-089 PDF
      • @inproceedings{Raghunathan2022jun,
      • author = {Raghunathan, Arvind and Jha, Devesh K. and Romeres, Diego},
      • title = {Python-based Open Source Package for Optimization of Contact-rich Systems},
      • booktitle = {Robotics: Science and Systems},
      • year = 2022,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2022-089}
      • }
    •  Kodama, T., Koike-Akino, T., Millar, D.S., Kojima, K., Parsons, K., "DNN-assisted phase distance tuned PSK modulation for PAM4-to-QPSK format conversion gateway node", Optics Express, DOI: 10.1364/​OE.449812, Vol. 30, No. 7, pp. 10866-10876, June 2022.
      BibTeX TR2022-091 PDF
      • @article{Kodama2022jun,
      • author = {Kodama, Takahiro and Koike-Akino, Toshiaki and Millar, David S. and Kojima, Keisuke and Parsons, Kieran},
      • title = {DNN-assisted phase distance tuned PSK modulation for PAM4-to-QPSK format conversion gateway node},
      • journal = {Optics Express},
      • year = 2022,
      • volume = 30,
      • number = 7,
      • pages = {10866--10876},
      • month = jun,
      • doi = {10.1364/OE.449812},
      • url = {https://www.merl.com/publications/TR2022-091}
      • }
    •  Shirai, Y., Jha, D.K., Raghunathan, A., Romeres, D., "Robust Pivoting Manipulation Using Bilevel Contact-Implicit Optimization", RSS Workshop on The Science of Bumping into Things, June 2022.
      BibTeX TR2022-090 PDF
      • @inproceedings{Shirai2022jun,
      • author = {Shirai, Yuki and Jha, Devesh K. and Raghunathan, Arvind and Romeres, Diego},
      • title = {Robust Pivoting Manipulation Using Bilevel Contact-Implicit Optimization},
      • booktitle = {RSS Workshop on The Science of Bumping into Things},
      • year = 2022,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2022-090}
      • }
    •  Li, K., Matsuda, T., Nishimura, K., Yagyu, E., Teo, K.H., Rakheja, S., "Trapping Phenomena in GaN HEMTs with Fe- and C-doped Buffer", Device Research Conference, June 2022.
      BibTeX TR2022-086 PDF
      • @inproceedings{Li2022jun2,
      • author = {Li, Kexin and Matsuda, Takashi and Nishimura, Kunihiko and Yagyu, Eiji and Teo, Koon Hoo and Rakheja, Shaloo},
      • title = {Trapping Phenomena in GaN HEMTs with Fe- and C-doped Buffer},
      • booktitle = {Device Research Conference},
      • year = 2022,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2022-086}
      • }
    •  Schperberg, A., Di Cairano, S., Menner, M., "Auto-Tuning of Controller and Online Trajectory Planner for Legged Robots", IEEE Robotics and Automation Letters, DOI: 10.1109/​LRA.2022.3185387, Vol. 7, No. 3, pp. 7802-7809, June 2022.
      BibTeX TR2022-085 PDF
      • @article{Schperberg2022jun,
      • author = {Schperberg, Alexander and Di Cairano, Stefano and Menner, Marcel},
      • title = {Auto-Tuning of Controller and Online Trajectory Planner for Legged Robots},
      • journal = {IEEE Robotics and Automation Letters},
      • year = 2022,
      • volume = 7,
      • number = 3,
      • pages = {7802--7809},
      • month = jun,
      • doi = {10.1109/LRA.2022.3185387},
      • url = {https://www.merl.com/publications/TR2022-085}
      • }
    •  Dzieciol, H., Koike-Akino, T., Wang, Y., Parsons, K., "Inverse Regular Perturbation with ML-Assisted Phasor Correction for Fiber Nonlinearity Compensation", Optics Letters, DOI: 10.1364/​OL.460929, Vol. 47, No. 14, pp. 3471-3474, June 2022.
      BibTeX TR2022-070 PDF
      • @article{Dzieciol2022jun,
      • author = {Dzieciol, Hubert and Koike-Akino, Toshiaki and Wang, Ye and Parsons, Kieran},
      • title = {Inverse Regular Perturbation with ML-Assisted Phasor Correction for Fiber Nonlinearity Compensation},
      • journal = {Optics Letters},
      • year = 2022,
      • volume = 47,
      • number = 14,
      • pages = {3471--3474},
      • month = jun,
      • doi = {10.1364/OL.460929},
      • url = {https://www.merl.com/publications/TR2022-070}
      • }
    •  Sullivan, A., Wang, J., Li, X., Chen, S., Abbot, L., "PointMotionNet: Point-Wise Motion Learning for Large-Scale LiDAR Point Clouds Sequences", CVPR Workshop on Autonomous Driving, June 2022.
      BibTeX TR2022-083 PDF
      • @inproceedings{Sullivan2022jun,
      • author = {Sullivan, Alan and Wang, Jun and Li, Xiaolong and Chen, Siheng and Abbot, Lynn},
      • title = {PointMotionNet: Point-Wise Motion Learning for Large-Scale LiDAR Point Clouds Sequences},
      • booktitle = {CVPR Workshop on Autonomous Driving},
      • year = 2022,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2022-083}
      • }
    •  Jin, S., Pu, W., Boufounos, P.T., Orlik, P.V., Takahashi, R., Roy, S., "Spatial-Domain Mutual Interference Mitigation for Slow-Time MIMO-FMCW Automotive Radar", IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), DOI: 10.1109/​SAM53842.2022.9827852, June 2022.
      BibTeX TR2022-067 PDF
      • @inproceedings{Jin2022jun,
      • author = {Jin, Sian and Pu, Wang and Boufounos, Petros T. and Orlik, Philip V. and Takahashi, Ryuhei and Roy, Sumit},
      • title = {Spatial-Domain Mutual Interference Mitigation for Slow-Time MIMO-FMCW Automotive Radar},
      • booktitle = {IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)},
      • year = 2022,
      • month = jun,
      • doi = {10.1109/SAM53842.2022.9827852},
      • issn = {2151-870X},
      • isbn = {978-1-6654-0633-8},
      • url = {https://www.merl.com/publications/TR2022-067}
      • }
    •  Koike-Akino, T., Wang, P., Wang, Y., "AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications", IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), DOI: 10.48550/​arXiv.2205.09115, June 2022.
      BibTeX TR2022-068 PDF Video Presentation
      • @inproceedings{Koike-Akino2022jun,
      • author = {Koike-Akino, Toshiaki and Wang, Pu and Wang, Ye},
      • title = {AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications},
      • booktitle = {IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)},
      • year = 2022,
      • month = jun,
      • doi = {10.48550/arXiv.2205.09115},
      • url = {https://www.merl.com/publications/TR2022-068}
      • }
    •  Li, P., Pu, W., Berntorp, K., Liu, H., "Exploiting Temporal Relations on Radar Perception for Autonomous Driving", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2022.
      BibTeX TR2022-069 PDF
      • @inproceedings{Li2022jun,
      • author = {Li, Peizhao and Pu, Wang and Berntorp, Karl and Liu, Hongwu},
      • title = {Exploiting Temporal Relations on Radar Perception for Autonomous Driving},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2022,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2022-069}
      • }
    •  Chatterjee, M., Ahuja, N., Cherian, A., "Quantifying Predictive Uncertainty for Stochastic Video Synthesis from Audio", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2022.
      BibTeX TR2022-082 PDF
      • @inproceedings{Chatterjee2022jun,
      • author = {Chatterjee, Moitreya and Ahuja, Narendra and Cherian, Anoop},
      • title = {Quantifying Predictive Uncertainty for Stochastic Video Synthesis from Audio},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2022,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2022-082}
      • }
    •  Liu, B., Koike-Akino, T., Wang, Y., Kim, K.J., Brand, M.E., Aeron, S., Parsons, K., "Data Privacy and Protection on Deep Leakage from Gradients by Layer-Wise Pruning", IEEE Information Theory and Applications Workshop (ITA), June 2022.
      BibTeX TR2022-080 PDF Presentation
      • @inproceedings{Liu2022jun,
      • author = {Liu, Bryan and Koike-Akino, Toshiaki and Wang, Ye and Kim, Kyeong Jin and Brand, Matthew E. and Aeron, Shuchin and Parsons, Kieran},
      • title = {Data Privacy and Protection on Deep Leakage from Gradients by Layer-Wise Pruning},
      • booktitle = {IEEE Information Theory and Applications Workshop (ITA)},
      • year = 2022,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2022-080}
      • }
    •  Liu, B., Koike-Akino, T., Wang, Y., Kim, K.J., Brand, M.E., Aeron, S., Parsons, K., "Data Privacy and Protection on Deep Leakage from Gradients by Layer-Wise Pruning", IEEE Information Theory and Applications Workshop (ITA), June 2022.
      BibTeX TR2022-080 PDF Presentation
      • @inproceedings{Liu2022jun2,
      • author = {Liu, Bryan and Koike-Akino, Toshiaki and Wang, Ye and Kim, Kyeong Jin and Brand, Matthew E. and Aeron, Shuchin and Parsons, Kieran},
      • title = {Data Privacy and Protection on Deep Leakage from Gradients by Layer-Wise Pruning},
      • booktitle = {IEEE Information Theory and Applications Workshop (ITA)},
      • year = 2022,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2022-080}
      • }
    •  Elango, P., Di Cairano, S., Kalabic, U., Weiss, A., "Local Eigenmotion Control for Near Rectilinear Halo Orbits", American Control Conference (ACC), June 2022.
      BibTeX TR2022-060 PDF
      • @inproceedings{Elango2022jun,
      • author = {Elango, Purnanand and Di Cairano, Stefano and Kalabic, Uros and Weiss, Avishai},
      • title = {Local Eigenmotion Control for Near Rectilinear Halo Orbits},
      • booktitle = {American Control Conference (ACC)},
      • year = 2022,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2022-060}
      • }
    •  Bonzanini, A.D., Mesbah, A., Di Cairano, S., "Multi-stage Perception-aware Chance-constrained MPC with Applications to Automated Driving", American Control Conference (ACC), June 2022.
      BibTeX TR2022-062 PDF
      • @inproceedings{Bonzanini2022jun,
      • author = {Bonzanini, Angelo Domenico and Mesbah, Ali and Di Cairano, Stefano},
      • title = {Multi-stage Perception-aware Chance-constrained MPC with Applications to Automated Driving},
      • booktitle = {American Control Conference (ACC)},
      • year = 2022,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2022-062}
      • }
    •  Berntorp, K., Menner, M., "Online Constrained Bayesian Inference and Learning of Gaussian-Process State-Space Models", American Control Conference (ACC), June 2022.
      BibTeX TR2022-066 PDF
      • @inproceedings{Berntorp2022jun,
      • author = {Berntorp, Karl and Menner, Marcel},
      • title = {Online Constrained Bayesian Inference and Learning of Gaussian-Process State-Space Models},
      • booktitle = {American Control Conference (ACC)},
      • year = 2022,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2022-066}
      • }
    •  Vaskov, S., Quirynen, R., Menner, M., Berntorp, K., "Friction-Adaptive Stochastic Predictive Control for Trajectory Tracking of Autonomous Vehicles", American Control Conference (ACC), June 2022.
      BibTeX TR2022-065 PDF
      • @inproceedings{Vaskov2022jun,
      • author = {Vaskov, Sean and Quirynen, Rien and Menner, Marcel and Berntorp, Karl},
      • title = {Friction-Adaptive Stochastic Predictive Control for Trajectory Tracking of Autonomous Vehicles},
      • booktitle = {American Control Conference (ACC)},
      • year = 2022,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2022-065}
      • }
    •  Pervej, M.F., Guo, J., Kim, K.J., Parsons, K., Orlik, P.V., Di Cairano, S., Menner, M., Berntorp, K., Nagai, Y., Dai, H., "Mobility, Communication and Computation Aware Federated Learning for Internet of Vehicles", IEEE Intelligent Vehicles Symposium (IV), June 2022.
      BibTeX TR2022-079 PDF
      • @inproceedings{Pervej2022jun,
      • author = {Pervej, Md Ferdous and Guo, Jianlin and Kim, Kyeong Jin and Parsons, Kieran and Orlik, Philip V. and Di Cairano, Stefano and Menner, Marcel and Berntorp, Karl and Nagai, Yukimasa and Dai, Huaiyu},
      • title = {Mobility, Communication and Computation Aware Federated Learning for Internet of Vehicles},
      • booktitle = {IEEE Intelligent Vehicles Symposium (IV)},
      • year = 2022,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2022-079}
      • }
    •  Nabi, S., Caulfield, C.-C., "Airflow Optimization to Prevent Transmission of COVID-19", International Conference on Building Energy and Environment (COBEE), May 2022.
      BibTeX TR2022-077 PDF
      • @inproceedings{Nabi2022may,
      • author = {Nabi, Saleh and Caulfield, Colm-Cille},
      • title = {Airflow Optimization to Prevent Transmission of COVID-19},
      • booktitle = {International Conference on Building Energy and Environment (COBEE)},
      • year = 2022,
      • month = may,
      • url = {https://www.merl.com/publications/TR2022-077}
      • }
    •  Raghunathan, A., Jha, D.K., Romeres, D., "PYROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation", IEEE International Conference on Robotics and Automation (ICRA), DOI: 10.1109/​ICRA46639.2022.9812069, May 2022.
      BibTeX TR2022-057 PDF Software
      • @inproceedings{Raghunathan2022may,
      • author = {Raghunathan, Arvind and Jha, Devesh K. and Romeres, Diego},
      • title = {PYROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation},
      • booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
      • year = 2022,
      • month = may,
      • publisher = {IEEE},
      • doi = {10.1109/ICRA46639.2022.9812069},
      • isbn = {978-1-7281-9681-7},
      • url = {https://www.merl.com/publications/TR2022-057}
      • }
    •  Liu, B., Koike-Akino, T., Wang, Y., Parsons, K., "Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems", IEEE International Conference on Communications (ICC), DOI: 10.1109/​ICC45855.2022.9838445, May 2022.
      BibTeX TR2022-052 PDF Video Presentation
      • @inproceedings{Liu2022may3,
      • author = {Liu, Bryan and Koike-Akino, Toshiaki and Wang, Ye and Parsons, Kieran},
      • title = {Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems},
      • booktitle = {IEEE International Conference on Communications (ICC)},
      • year = 2022,
      • month = may,
      • publisher = {IEEE},
      • doi = {10.1109/ICC45855.2022.9838445},
      • issn = {1938-1883},
      • isbn = {978-1-5386-8347-7},
      • url = {https://www.merl.com/publications/TR2022-052}
      • }
    •  Liu, B., Koike-Akino, T., Wang, Y., Parsons, K., "Learning to Learn Quantum Turbo Detection", arXiv, May 2022.
      BibTeX arXiv
      • @article{Liu2022may,
      • author = {Liu, Bryan and Koike-Akino, Toshiaki and Wang, Ye and Parsons, Kieran},
      • title = {Learning to Learn Quantum Turbo Detection},
      • journal = {arXiv},
      • year = 2022,
      • month = may,
      • url = {https://arxiv.org/abs/2205.08611}
      • }
    •  Koike-Akino, T., Pu, W., Wang, Y., "Quantum Transfer Learning for Wi-Fi Sensing", IEEE International Conference on Communications (ICC), DOI: 10.1109/​ICC45855.2022.9839011, May 2022.
      BibTeX TR2022-044 PDF Video Presentation
      • @inproceedings{Koike-Akino2022may2,
      • author = {Koike-Akino, Toshiaki and Pu, Wang and Wang, Ye},
      • title = {Quantum Transfer Learning for Wi-Fi Sensing},
      • booktitle = {IEEE International Conference on Communications (ICC)},
      • year = 2022,
      • month = may,
      • doi = {10.1109/ICC45855.2022.9839011},
      • issn = {1938-1883},
      • isbn = {978-1-5386-8347-7},
      • url = {https://www.merl.com/publications/TR2022-044}
      • }
    •  Zhu, D., Kojima, K., Koike-Akino, T., Brand, M.E., "Global Phase Correction Improves Metalens Efficiency", Conference on Lasers and Electro-Optics (CLEO), DOI: 10.1364/​CLEO_QELS.2022.FM1B.3, May 2022.
      BibTeX TR2022-049 PDF
      • @inproceedings{Zhu2022may,
      • author = {Zhu, Dayu and Kojima, Keisuke and Koike-Akino, Toshiaki and Brand, Matthew E.},
      • title = {Global Phase Correction Improves Metalens Efficiency},
      • booktitle = {Conference on Lasers and Electro-Optics (CLEO)},
      • year = 2022,
      • month = may,
      • publisher = {Optica},
      • doi = {10.1364/CLEO_QELS.2022.FM1B.3},
      • isbn = {978-1-957171-05-0},
      • url = {https://www.merl.com/publications/TR2022-049}
      • }
    •  Koike-Akino, T., Wang, P., Yamashita, G., Tsujita, W., Nakajima, M., "Quantum Feature Extraction for THz Multi-Layer Imaging", arXiv, May 2022.
      BibTeX
      • @article{Koike-Akino2022may5,
      • 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},
      • journal = {arXiv},
      • year = 2022,
      • month = may
      • }
    •  Lin, C., Ma, Y., Sels, D., "Application of Pontryagin’s Maximum Principle to Quantum Metrology in Dissipative Systems", Physical Reivew A, DOI: 10.1103/​PhysRevA.105.042621, Vol. 105, No. 4, pp. 042621, May 2022.
      BibTeX TR2022-048 PDF
      • @article{Lin2022may,
      • author = {Lin, Chungwei and Ma, Yanting and Sels, Dries},
      • title = {Application of Pontryagin’s Maximum Principle to Quantum Metrology in Dissipative Systems},
      • journal = {Physical Reivew A},
      • year = 2022,
      • volume = 105,
      • number = 4,
      • pages = 042621,
      • month = may,
      • doi = {10.1103/PhysRevA.105.042621},
      • url = {https://www.merl.com/publications/TR2022-048}
      • }
    •  Jung, M., Kojima, K., Koike-Akino, T., Wang, Y., Zhu, D., Brand, M.E., "Finding the Right Deep Neural Network Model for Efficient Design of Tunable Nanophotonic Devices", Conference on Lasers and Electro-Optics (CLEO), DOI: 10.1364/​CLEO_SI.2022.SW5E.6, May 2022.
      BibTeX TR2022-047 PDF Video Presentation
      • @inproceedings{Jung2022may,
      • author = {Jung, Minwoo and Kojima, Keisuke and Koike-Akino, Toshiaki and Wang, Ye and Zhu, Dayu and Brand, Matthew E.},
      • title = {Finding the Right Deep Neural Network Model for Efficient Design of Tunable Nanophotonic Devices},
      • booktitle = {Conference on Lasers and Electro-Optics (CLEO)},
      • year = 2022,
      • month = may,
      • publisher = {Optica},
      • doi = {10.1364/CLEO_SI.2022.SW5E.6},
      • isbn = {978-1-957171-05-0},
      • url = {https://www.merl.com/publications/TR2022-047}
      • }
    •  Koike-Akino, T., Kojima, K., Wang, Y., "AutoML Hyperparameter Tuning of Generative DNN Architecture for Nanophotonic Device Design", Conference on Lasers and Electro-Optics (CLEO), DOI: 10.1364/​CLEO_AT.2022.JW3A.44, May 2022.
      BibTeX TR2022-046 PDF Presentation
      • @inproceedings{Koike-Akino2022may3,
      • author = {Koike-Akino, Toshiaki and Kojima, Keisuke and Wang, Ye},
      • title = {AutoML Hyperparameter Tuning of Generative DNN Architecture for Nanophotonic Device Design},
      • booktitle = {Conference on Lasers and Electro-Optics (CLEO)},
      • year = 2022,
      • month = may,
      • publisher = {Optica},
      • doi = {10.1364/CLEO_AT.2022.JW3A.44},
      • isbn = {978-1-957171-05-0},
      • url = {https://www.merl.com/publications/TR2022-046}
      • }
    •  Shirai, Y., Jha, D.K., Raghunathan, A., Romeres, D., "Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization", IEEE International Conference on Robotics and Automation (ICRA), May 2022.
      BibTeX TR2022-045 PDF
      • @inproceedings{Shirai2022may,
      • author = {Shirai, Yuki and Jha, Devesh K. and Raghunathan, Arvind and Romeres, Diego},
      • title = {Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization},
      • booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
      • year = 2022,
      • month = may,
      • url = {https://www.merl.com/publications/TR2022-045}
      • }
    •  Ma, Y., Guo, J., Wang, Y., Chakrabarty, A., Ahn, H., Orlik, P.V., Guan, X., Lu, C., "Optimal Dynamic Transmission Scheduling for Wireless Networked Control Systems", IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, DOI: 10.1109/​TCST.2022.3141581, May 2022.
      BibTeX TR2022-043 PDF
      • @article{Ma2022may,
      • author = {Ma, Yehan and Guo, Jianlin and Wang, Yebin and Chakrabarty, Ankush and Ahn, Heejin and Orlik, Philip V. and Guan, Xinping and Lu, Chenyang},
      • title = {Optimal Dynamic Transmission Scheduling for Wireless Networked Control Systems},
      • journal = {IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY},
      • year = 2022,
      • month = may,
      • doi = {10.1109/TCST.2022.3141581},
      • url = {https://www.merl.com/publications/TR2022-043}
      • }
    •  Mowlavi, S., Benosman, M., Nabi, S., "Reinforcement Learning State Estimation for High-Dimensional Nonlinear Systems", International Conference on Learning Representations (ICLR) Workshop, April 2022.
      BibTeX TR2022-042 PDF
      • @inproceedings{Mowlavi2022apr,
      • author = {Mowlavi, Saviz and Benosman, Mouhacine and Nabi, Saleh},
      • title = {Reinforcement Learning State Estimation for High-Dimensional Nonlinear Systems},
      • booktitle = {International Conference on Learning Representations (ICLR) Workshop},
      • year = 2022,
      • month = apr,
      • url = {https://www.merl.com/publications/TR2022-042}
      • }
    •  Jha, D.K., Romeres, D., Jain, S., Yerazunis, W.S., Nikovski, D., "Design of Adaptive Compliance Controllers for Safe Robotic Assembly", arXiv, April 2022.
      BibTeX arXiv
      • @article{Jha2022apr,
      • author = {Jha, Devesh K. and Romeres, Diego and Jain, Siddarth and Yerazunis, William S. and Nikovski, Daniel},
      • title = {Design of Adaptive Compliance Controllers for Safe Robotic Assembly},
      • journal = {arXiv},
      • year = 2022,
      • month = apr,
      • url = {https://arxiv.org/abs/2204.10447}
      • }
    •  Wang, Z.-Q., Wichern, G., Watanabe, S., Le Roux, J., "STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latency", arXiv, April 2022.
      BibTeX arXiv
      • @article{Wang2022mar,
      • 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 = {arXiv},
      • year = 2022,
      • month = apr,
      • url = {https://arxiv.org/abs/2204.09911}
      • }
    •  Sanz-Alcaine, J.M., Sanz-Gorrachategui, I., Pajovic, M., Orlik, P.V., "Online Voltage Prediction Using Gaussian Process Regression for Fault-Tolerant Photovoltaic Standalone Applications", Neural Computing and Applications, DOI: 10.1007/​s00521-021-06254-6, Vol. 33, No. 23, pp. 16577–16590, March 2022.
      BibTeX TR2022-038 PDF
      • @article{Sanz-Alcaine2022mar,
      • author = {Sanz-Alcaine, José Miguel and Sanz-Gorrachategui, Ivan and Pajovic, Milutin and Orlik, Philip V.},
      • title = {Online Voltage Prediction Using Gaussian Process Regression for Fault-Tolerant Photovoltaic Standalone Applications},
      • journal = {Neural Computing and Applications},
      • year = 2022,
      • volume = 33,
      • number = 23,
      • pages = {16577–16590},
      • month = mar,
      • doi = {10.1007/s00521-021-06254-6},
      • url = {https://www.merl.com/publications/TR2022-038}
      • }
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