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.

    •  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}
      • }
    •  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}
      • }
    •  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}
      • }
    •  Raghunathan, A., Jha, D.K., Romeres, D., "PYROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation", IEEE International Conference on Robotics and Automation (ICRA), 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,
      • 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), 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,
      • 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), 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,
      • 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), 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,
      • url = {https://www.merl.com/publications/TR2022-049}
      • }
    •  Lin, C., Ma, Y., Sels, D., "Application of Pontryagin’s Maximum Principle to Quantum Metrology in Dissipative Systems", Physical Reivew A, 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,
      • month = may,
      • 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), 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,
      • 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), 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,
      • url = {https://www.merl.com/publications/TR2022-046}
      • }
    •  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}
      • }
    •  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}
      • }
    •  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}
      • }
    •  Yu, J., Pu, W., Koike-Akino, T., Orlik, P.V., "Multi-Modal Recurrent Fusion for Indoor Localization", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP43922.2022.9746071, April 2022.
      BibTeX TR2022-018 PDF
      • @inproceedings{Yu2022apr,
      • author = {Yu, Jianyuan and Pu, Wang and Koike-Akino, Toshiaki and Orlik, Philip V.},
      • title = {Multi-Modal Recurrent Fusion for Indoor Localization},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2022,
      • month = apr,
      • publisher = {IEEE},
      • doi = {10.1109/ICASSP43922.2022.9746071},
      • issn = {2379-190X},
      • isbn = {978-1-6654-0540-9},
      • url = {https://www.merl.com/publications/TR2022-018}
      • }
    •  Slizovskaia, O., Wichern, G., Wang, Z.-Q., Le Roux, J., "Locate This, Not That: Class-Conditioned Sound Event DOA Estimation", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 2022.
      BibTeX TR2022-023 PDF
      • @inproceedings{Slizovskaia2022mar,
      • author = {Slizovskaia, Olga and Wichern, Gordon and Wang, Zhong-Qiu and Le Roux, Jonathan},
      • title = {Locate This, Not That: Class-Conditioned Sound Event DOA Estimation},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2022,
      • month = apr,
      • url = {https://www.merl.com/publications/TR2022-023}
      • }
    •  Shah, A.P., Geng, S., Gao, P., Cherian, A., Hori, T., Marks, T.K., Le Roux, J., Hori, C., "Audio-Visual Scene-Aware Dialog and Reasoning Using Audio-Visual Transformers with Joint Student-Teacher Learning", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 2022.
      BibTeX TR2022-019 PDF
      • @inproceedings{Shah2022apr,
      • author = {Shah, Ankit Parag and Geng, Shijie and Gao, Peng and Cherian, Anoop and Hori, Takaaki and Marks, Tim K. and Le Roux, Jonathan and Hori, Chiori},
      • title = {Audio-Visual Scene-Aware Dialog and Reasoning Using Audio-Visual Transformers with Joint Student-Teacher Learning},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2022,
      • month = apr,
      • url = {https://www.merl.com/publications/TR2022-019}
      • }
    •  Petermann, D., Wichern, G., Wang, Z.-Q., Le Roux, J., "The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 2022.
      BibTeX TR2022-022 PDF
      • @inproceedings{Petermann2022apr,
      • author = {Petermann, Darius and Wichern, Gordon and Wang, Zhong-Qiu and Le Roux, Jonathan},
      • title = {The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2022,
      • month = apr,
      • url = {https://www.merl.com/publications/TR2022-022}
      • }
    •  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}
      • }
    •  Li, P., Pu, W., Berntorp, K., Liu, H., "Exploiting Temporal Relations on Radar Perception for Autonomous Driving", arXiv, April 2022.
      BibTeX arXiv
      • @article{Li2022apr,
      • author = {Li, Peizhao and Pu, Wang and Berntorp, Karl and Liu, Hongwu},
      • title = {Exploiting Temporal Relations on Radar Perception for Autonomous Driving},
      • journal = {arXiv},
      • year = 2022,
      • month = apr,
      • url = {https://arxiv.org/abs/2204.01184}
      • }
    •  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, 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,
      • month = mar,
      • url = {https://www.merl.com/publications/TR2022-038}
      • }
    •  Anantharaman, R., Abdelrahim, A., Martinuzzi, F., Yalburgi, S., Saba, E., Fischer, K., Hertz, G., de Vos, P., Laughman, C.R., Ma, Y., Shah, V., Edelman, A., Rackauckas, C., "Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components", AAAI 2022 Workshop on AI based Design and Manufacturing, March 2022.
      BibTeX TR2022-034 PDF
      • @inproceedings{Anantharaman2022mar,
      • author = {Anantharaman, Ranjan and Abdelrahim, Anas and Martinuzzi, Francesco and Yalburgi, Sharan and Saba, Elliot and Fischer, Keno and Hertz, Glen and de Vos, Pepijn and Laughman, Christopher R. and Ma, Yingbo and Shah, Viral and Edelman, Alan and Rackauckas, Chris},
      • title = {Composable and Reusable Neural Surrogates to Predict System Response of Causal Model Components},
      • booktitle = {AAAI 2022 Workshop on AI based Design and Manufacturing},
      • year = 2022,
      • month = mar,
      • url = {https://www.merl.com/publications/TR2022-034}
      • }
    •  Jin, S., Pu, W., Boufounos, P.T., Orlik, P.V., Roy, S., "Automotive Radar Interference Mitigation with Fast-Time-Frequency Mode Retrieval", IEEE Radar Conference (RadarCon), March 2022.
      BibTeX TR2022-029 PDF
      • @inproceedings{Jin2022mar,
      • author = {Jin, Sian and Pu, Wang and Boufounos, Petros T. and Orlik, Philip V. and Roy, Sumit},
      • title = {Automotive Radar Interference Mitigation with Fast-Time-Frequency Mode Retrieval},
      • booktitle = {IEEE Radar Conference (RadarCon)},
      • year = 2022,
      • month = mar,
      • url = {https://www.merl.com/publications/TR2022-029}
      • }
    •  Rosen, E., Rammohan, S., Jha, D.K., "Learning robot motor skills with mixed reality", International Workshop on Virtual, Augmented, and Mixed-Reality for Human-Robot Interactions ACM/IEEEE International Conference on Human-Robot Collaboration 2022, March 2022.
      BibTeX TR2022-032 PDF
      • @inproceedings{Rosen2022mar,
      • author = {Rosen, Eric and Rammohan, Sreehari and Jha, Devesh K.},
      • title = {Learning robot motor skills with mixed reality},
      • booktitle = {International Workshop on Virtual, Augmented, and Mixed-Reality for Human-Robot Interactions ACM/IEEEE International Conference on Human-Robot Collaboration 2022},
      • year = 2022,
      • month = mar,
      • url = {https://www.merl.com/publications/TR2022-032}
      • }
    •  Shirai, Y., Jha, D.K., Raghunathan, A., Romeres, D., "Chance-Constrained Optimization in Contact-Rich Systems for Robust Manipulation", arXiv, March 2022.
      BibTeX
      • @article{Shirai2022mar,
      • author = {Shirai, Yuki and Jha, Devesh K. and Raghunathan, Arvind and Romeres, Diego},
      • title = {Chance-Constrained Optimization in Contact-Rich Systems for Robust Manipulation},
      • journal = {arXiv},
      • year = 2022,
      • month = mar
      • }
    •  Nabi, S., Grover, P., Caulfield, C.-C., "Robust preconditioned one-shot methods and direct-adjoint-looping for optimising Reynolds-averaged turbulent flows", Computers & Fluids, March 2022.
      BibTeX
      • @article{Nabi2022mar,
      • author = {Nabi, Saleh and Grover, Piyush and Caulfield, Colm-cille},
      • title = {Robust preconditioned one-shot methods and direct-adjoint-looping for optimising Reynolds-averaged turbulent flows},
      • journal = {Computers & Fluids},
      • year = 2022,
      • month = mar
      • }
    •  Chakrabarty, A., Maddalena, E., Qiao, H., Laughman, C.R., "Scalable Bayesian Optimization for Model Calibration: Case Study on Coupled Building and HVAC Dynamics", Energy and Buildings, DOI: 10.1016/​j.enbuild.2021.111460, Vol. 253, pp. 111460, March 2022.
      BibTeX TR2022-030 PDF
      • @article{Chakrabarty2022mar,
      • author = {Chakrabarty, Ankush and Maddalena, Emilio and Qiao, Hongtao and Laughman, Christopher R.},
      • title = {Scalable Bayesian Optimization for Model Calibration: Case Study on Coupled Building and HVAC Dynamics},
      • journal = {Energy and Buildings},
      • year = 2022,
      • volume = 253,
      • pages = 111460,
      • month = mar,
      • doi = {10.1016/j.enbuild.2021.111460},
      • url = {https://www.merl.com/publications/TR2022-030}
      • }
    •  Bortoff, S.A., Schwerdtner, P., Danielson, C., Di Cairano, S., Burns, D.J., "H-Infinity Loop-Shaped Model Predictive Control with HVAC Application", IEEE Transactions on Control Systems Technology, March 2022.
      BibTeX TR2022-028 PDF
      • @article{Bortoff2022mar,
      • author = {Bortoff, Scott A. and Schwerdtner, Paul and Danielson, Claus and Di Cairano, Stefano and Burns, Daniel J.},
      • title = {H-Infinity Loop-Shaped Model Predictive Control with HVAC Application},
      • journal = {IEEE Transactions on Control Systems Technology},
      • year = 2022,
      • month = mar,
      • url = {https://www.merl.com/publications/TR2022-028}
      • }
    •  Chakrabarty, A., Maddalena, E., Qiao, H., Laughman, C.R., "Scalable Bayesian Optimization for Parameter Estimation of Coupled Building and HVAC Dynamics", Energy and Buildings, DOI: 10.1016/​j.enbuild.2021.111460, Vol. 253, pp. 111460, March 2022.
      BibTeX TR2022-030 PDF
      • @article{Chakrabarty2022mar2,
      • author = {Chakrabarty, Ankush and Maddalena, Emilio and Qiao, Hongtao and Laughman, Christopher R.},
      • title = {Scalable Bayesian Optimization for Parameter Estimation of Coupled Building and HVAC Dynamics},
      • journal = {Energy and Buildings},
      • year = 2022,
      • volume = 253,
      • pages = 111460,
      • month = mar,
      • doi = {10.1016/j.enbuild.2021.111460},
      • url = {https://www.merl.com/publications/TR2022-030}
      • }
    •  Hori, C., Shah, A.P., Geng, S., Gao, P., Cherian, A., Hori, T., Le Roux, J., Marks, T.K., "Overview of Audio Visual Scene-Aware Dialog with Reasoning Track for Natural Language Generation in DSTC10", The 10th Dialog System Technology Challenge Workshop at AAAI, February 2022.
      BibTeX TR2022-016 PDF
      • @inproceedings{Hori2022feb,
      • author = {Hori, Chiori and Shah, Ankit Parag and Geng, Shijie and Gao, Peng and Cherian, Anoop and Hori, Takaaki and Le Roux, Jonathan and Marks, Tim K.},
      • title = {Overview of Audio Visual Scene-Aware Dialog with Reasoning Track for Natural Language Generation in DSTC10},
      • booktitle = {The 10th Dialog System Technology Challenge Workshop at AAAI},
      • year = 2022,
      • month = feb,
      • url = {https://www.merl.com/publications/TR2022-016}
      • }
    •  Cao, W., Benosman, M., Zhang, X., Ma, R., "Domain Knowledge-Based Automated Analog Circuit Design with Deep Reinforcement Learning", AAAI Conference on Artificial Intelligence, February 2022.
      BibTeX TR2022-017 PDF
      • @inproceedings{Cao2022feb,
      • author = {Cao, Weidong and Benosman, Mouhacine and Zhang, Xuan and Ma, Rui},
      • title = {Domain Knowledge-Based Automated Analog Circuit Design with Deep Reinforcement Learning},
      • booktitle = {AAAI Conference on Artificial Intelligence},
      • year = 2022,
      • month = feb,
      • url = {https://www.merl.com/publications/TR2022-017}
      • }
    •  Ke, L., Peng, K.-C., Lyu, S., "Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition", AAAI Conference on Artificial Intelligence, February 2022.
      BibTeX TR2022-015 PDF Presentation
      • @inproceedings{Ke2022feb,
      • author = {Ke, Lipeng and Peng, Kuan-Chuan and Lyu, Siwei},
      • title = {Towards To-a-T Spatio-Temporal Focus for Skeleton-Based Action Recognition},
      • booktitle = {AAAI Conference on Artificial Intelligence},
      • year = 2022,
      • month = feb,
      • url = {https://www.merl.com/publications/TR2022-015}
      • }
    •  Yurdakul, C., Millar, D.S., Mansour, H., Wang, P., Kojima, K., Koike-Akino, T., Parsons, K., Orlik, P.V., "Linefield Coherent Sensing", arXiv, DOI: 10.48550/​arXiv.2202.12161, February 2022.
      BibTeX arXiv
      • @article{Yurdakul2022feb,
      • author = {Yurdakul, Celalettin and Millar, David S. and Mansour, Hassan and Wang, Pu and Kojima, Keisuke and Koike-Akino, Toshiaki and Parsons, Kieran and Orlik, Philip V.},
      • title = {Linefield Coherent Sensing},
      • journal = {arXiv},
      • year = 2022,
      • month = feb,
      • doi = {10.48550/arXiv.2202.12161},
      • url = {http://arxiv.org/abs/2202.12161}
      • }
    •  Medin, S.C., Egger, B., Cherian, A., Wang, Y., Tenenbaum, J.B., Liu, X., Marks, T.K., "MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation", AAAI Conference on Artificial Intelligence, February 2022.
      BibTeX TR2022-011 PDF Video
      • @inproceedings{Medin2022feb,
      • author = {Medin, Safa C. and Egger, Bernhard and Cherian, Anoop and Wang, Ye and Tenenbaum, Joshua B. and Liu, Xiaoming and Marks, Tim K.},
      • title = {MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation},
      • booktitle = {AAAI Conference on Artificial Intelligence},
      • year = 2022,
      • month = feb,
      • url = {https://www.merl.com/publications/TR2022-011}
      • }
    •  Vijayshankar, S., Chakrabarty, A., Grover, P., Nabi, S., "Co-Design of Reduced-Order Models and Observers from Thermo-Fluid Data", IFAC Journal of Systems and Control, DOI: 10.1016/​j.ifacsc.2021.100181, Vol. 19, pp. 100181, January 2022.
      BibTeX TR2022-009 PDF
      • @article{Vijayshankar2022jan,
      • author = {Vijayshankar, Sanjana and Chakrabarty, Ankush and Grover, Piyush and Nabi, Saleh},
      • title = {Co-Design of Reduced-Order Models and Observers from Thermo-Fluid Data},
      • journal = {IFAC Journal of Systems and Control},
      • year = 2022,
      • volume = 19,
      • pages = 100181,
      • month = jan,
      • doi = {10.1016/j.ifacsc.2021.100181},
      • url = {https://www.merl.com/publications/TR2022-009}
      • }
    •  De Silva, U., Ma, R., Koike-Akino, T., Yamashita, A., Nakamizo, H., "A Modular 1D-CNN Architecture for Real-time Digital Pre-distortion", IEEE Radio and Wireless Symposium (RWS), January 2022.
      BibTeX TR2022-007 PDF
      • @inproceedings{DeSilva2022jan,
      • author = {De Silva, Udara and Ma, Rui and Koike-Akino, Toshiaki and Yamashita, Ao and Nakamizo, Hideyuki},
      • title = {A Modular 1D-CNN Architecture for Real-time Digital Pre-distortion},
      • booktitle = {IEEE Radio and Wireless Symposium (RWS)},
      • year = 2022,
      • month = jan,
      • issn = {2473-4640},
      • isbn = {978-1-6654-3472-0},
      • url = {https://www.merl.com/publications/TR2022-007}
      • }
    •  Fujihashi, T., Koike-Akino, T., Watanabe, T., "Federated AirNet: Hybrid Digital-Analog Neural Network Transmission for Federated Learning", arXiv, January 2022.
      BibTeX arXiv
      • @article{Fujihashi2022jan2,
      • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi},
      • title = {Federated AirNet: Hybrid Digital-Analog Neural Network Transmission for Federated Learning},
      • journal = {arXiv},
      • year = 2022,
      • month = jan,
      • url = {https://arxiv.org/abs/2201.04557}
      • }
    •  Lohit, S., Jones, M.J., "Model Compression Using Optimal Transport", IEEE Winter Conference on Applications of Computer Vision (WACV), January 2022.
      BibTeX TR2022-006 PDF Presentation
      • @inproceedings{Lohit2022jan,
      • author = {Lohit, Suhas and Jones, Michael J.},
      • title = {Model Compression Using Optimal Transport},
      • booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
      • year = 2022,
      • month = jan,
      • url = {https://www.merl.com/publications/TR2022-006}
      • }
    •  Fujihashi, T., Koike-Akino, T., Watanabe, T., "Overhead Reduction for Graph-Based Point Cloud Delivery Using Non-Uniform Quantization", IEEE International Conference on Consumer Electronics (ICCE), DOI: 10.1109/​ICCE53296.2022.9730509, January 2022.
      BibTeX TR2022-005 PDF
      • @inproceedings{Fujihashi2022jan,
      • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi},
      • title = {Overhead Reduction for Graph-Based Point Cloud Delivery Using Non-Uniform Quantization},
      • booktitle = {IEEE International Conference on Consumer Electronics (ICCE)},
      • year = 2022,
      • month = jan,
      • publisher = {IEEE},
      • doi = {10.1109/ICCE53296.2022.9730509},
      • issn = {2158-4001},
      • isbn = {978-1-6654-4154-4},
      • url = {https://www.merl.com/publications/TR2022-005}
      • }
    •  Yu, L., Liu, D., Mansour, H., Boufounos, P.T., "Fast and High-Quality Blind Multi-Spectral Image Pansharpening", IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/​TGRS.2021.3091329, Vol. 60, pp. 1-17, January 2022.
      BibTeX TR2022-004 PDF
      • @article{Yu2022jan,
      • author = {Yu, Lantao and Liu, Dehong and Mansour, Hassan and Boufounos, Petros T.},
      • title = {Fast and High-Quality Blind Multi-Spectral Image Pansharpening},
      • journal = {IEEE Transactions on Geoscience and Remote Sensing},
      • year = 2022,
      • volume = 60,
      • pages = {1--17},
      • month = jan,
      • doi = {10.1109/TGRS.2021.3091329},
      • issn = {1558-0644},
      • url = {https://www.merl.com/publications/TR2022-004}
      • }
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