- Date: July 6, 2026 - July 11, 2026
Where: COEX, Seoul, South Korea
MERL Contacts: Moitreya Chatterjee; Anoop Cherian; Stefano Di Cairano; Toshiaki Koike-Akino; Christopher R. Laughman; Jing Liu; Suhas Lohit; Kuan-Chuan Peng; Alexander Schperberg; Ye Wang; Gordon Wichern
Research Areas: Artificial Intelligence, Computer Vision, Machine Learning, Signal Processing
Brief - MERL researchers are proud to present 4 main conference papers and 6 workshop papers at ICML 2026. ICML, taking place from July 6-11 in Seoul, South Korea, is a premier international conference in machine learning.
Main Conference Papers with MERL Authors:
1. Understanding Dynamic Compute Allocation in Recurrent Transformers by Ibraheem Muhammad Moosa, Suhas Lohit, Ye Wang, Moitreya Chatterjee, and Wenpeng Yin.
2. LLawCo: Learning Laws of Cooperation for Modeling Embodied Multi-Agent Behavior by Qinhong Zhou, Chuang Gan, and Anoop Cherian.
3. Memory-Distilled Selection for Noise-Robust Anomaly Detection by Sirojbek Safarov, Jaewoo Park, Yoon G. Jung, Kuan-Chuan Peng, Wonchul Kim, Seongdeok Bang, and Octavia Camps.
4. Partial Ring Scan: Revisiting Scan Order in Vision State Space Models by Yi-Kuan Hsieh, Kuan-Chuan Peng, Xin Li, Ming-Ching Chang, Yu-Chee Tseng, and Jun-Wei Hsieh.
Workshop Papers with MERL Authors:
1. WISE: Weighted Iterative Society-of-Experts for Multimodal Multi-Agent Debate with Probabilistic Consensus by Anoop Cherian, Suhas Lohit, and Kuan-Chuan Peng. (Workshop on Scalable Learning and Optimization for Efficient Multimodal AI Agents (SCALE))
2. MIRROR: Multisensory Implicit Rejection-sampled RObotic policy by Amisha Bhaskar, Pratap Tokekar, Stefano Di Cairano, and Alexander Schperberg. (Workshop on Structured Probabilistic Inference & Generative Modeling)
3. Reinforced Neural Processes: Memory-Efficient Time-Series Forecasting with a World-Feedback-Trained Memory Policy by Nibraas Khan, Gordon Wichern, and Christopher R. Laughman. (Workshop on Reinforcement Learning from World Feedback (RLxF))
4. Connecting Low-Rank Adapters and Policy Stability in GRPO Fine-Tuning by Antonin Rottman, Francesco Tonin, Yongtao Wu, Toshiaki Koike-Akino, and Volkan Cevher. (Workshop on Connecting Low-rank Representations in AI (CoLorAI))
5. EinSort: Sorting is All We Need for Tensorizing LLM by Toshiaki Koike-Akino, Jing Liu, and Ye Wang. (Workshop on Connecting Low-rank Representations in AI (CoLorAI))
6. Temper and Tilt Lead to SLOP: Reward Hacking Mitigation with Inference-Time Alignment by Ye Wang, and Jing Liu, and Toshiaki Koike-Akino. (Workshop on Agents in the Wild: Safety, Security, and Beyond)
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- Date: June 1, 2026 - June 5, 2026
Where: Vienna, Austria
MERL Contacts: Radu Corcodel; Stefano Di Cairano; Purnanand Elango; Siddarth Jain; Alexander Schperberg; Kento Tomita
Research Areas: Artificial Intelligence, Computer Vision, Control, Dynamical Systems, Machine Learning, Optimization, Robotics
Brief - MERL researchers presented nine papers at the recently concluded IEEE International Conference on Robotics and Automation (ICRA) 2026 in Vienna, Austria. The papers covered a broad set of topics in robotics, including robot perception, visuo-tactile sensing, contact and pose estimation, manipulation, reinforcement learning, diffusion policies, loco-manipulation, contact-implicit trajectory optimization, legged locomotion, localization, and perception-aware planning.
IEEE ICRA is the flagship conference of the IEEE Robotics and Automation Society and the world’s largest and most comprehensive technical conference focused on research advances and the latest technological developments in robotics. The event attracts nearly 8,000 participants and receives more than 5,000 paper submissions.
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- Date: June 24, 2026
MERL Contact: Petros T. Boufounos
Research Areas: Computational Sensing, Signal Processing
Brief - MERL's Distinguished Research Scientist and IEEE Fellow Dr. Petros Boufounos has been elected Vice President–Conferences of the IEEE Signal Processing Society (SPS) for the 2027–2029 term. In this role, he will serve on the SPS Board of Governors and chair the SPS Conferences Board, overseeing the Society’s conferences, workshops, and other technical meeting activities.
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- Date: May 26, 2026 - May 29, 2026
Where: New Orleans, USA
MERL Contacts: Scott A. Bortoff; Vedang M. Deshpande; Stefano Di Cairano; Christopher R. Laughman; Jordan Leung; Hongtao Qiao; Zhaolin Ren; Abraham P. Vinod; Yebin Wang
Research Areas: Control, Dynamical Systems, Optimization, Robotics
Brief - MERL researchers presented 8 papers at the recently concluded American Control Conference (ACC) 2026 in New Orleans, USA. The papers covered a wide range of topics including robust controllable set computation, vapor compression cycle calibration, task-reasoning LLM agents, Minkowski-cost stable MPC, polynomial chaos approximation, invariant-set motion planning, heat-pump MPC architectures, and relaxed barrier-function MPC. Additionally, Zhaolin Ren was an invited speaker at Multi-Agent Dynamic Games workshop, and Abraham Vinod served as a panelist at the Professional Development and Career Advice for Young Professionals session.
As a sponsor of the conference, MERL maintained a booth for open discussions with researchers and students, and hosted a special session to discuss highlights of MERL research and work philosophy.
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- Date: April 15, 2026 - April 16, 2026
Where: NASA Johnson Space Center, Houston
MERL Contacts: Abraham P. Vinod; Avishai Weiss
Research Areas: Control, Dynamical Systems, Optimization, Robotics
Brief - MERL researchers Avishai Weiss and Abraham Vinod visited NASA Johnson Space Center to present recent advances in set-based reachability analysis for spacecraft guidance, navigation, and control, with an emphasis on powered descent guidance for lunar landing. They delivered an invited talk titled “Safe and Optimal Control for Spacecraft GN&C using Set-Based Reachability Analysis.”
The presentation introduced MERL’s recently developed set-based computational techniques for safe, optimal, and robust spacecraft control, including methods that specialize the approach for computing maximum divert envelopes and enabling real-time landing footprint prediction for landers. The talk was attended by researchers from NASA and the University of Washington, and generated extensive technical discussion.
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- Date: June 3, 2026 - June 7, 2026
Where: Colorado Convention Center, Denver, Colorado
MERL Contacts: Moitreya Chatterjee; Anoop Cherian; Kaen Kogashi; Suhas Lohit; Lalit Manam; Tim K. Marks; Pedro Miraldo; Kuan-Chuan Peng
Research Areas: Artificial Intelligence, Computer Vision, Machine Learning
Brief - MERL researchers are proud to present 7 papers, including two highlight papers (top 3.6% of submissions), and 2 workshops at CVPR 2026. CVPR, taking place from June 3-7 in Denver, CO, USA, is a premier international conference in computer vision.
Papers with MERL Authors:
1. Point4Cast: Streaming Dynamic Scene Reconstruction and Forecasting by Xinhang Liu, Pedro Miraldo, Suhas Lohit, Huaizu Jiang, Naoko Sawada, Yu-Wing Tai, Chi-Keung Tang, and Moitreya Chatterjee (Highlight Paper)
2. Parallel Rigidity Matters for Bundle Adjustment by Lalit Manam and Venu Govindu (Highlight Paper)
3. Revisiting Monocular SLAM with Spatio-Temporal Scene Modeling by Valter Piedade, Lalit Manam, Masashi Yamazaki, and Pedro Miraldo
4. AssemblyBench: Physics-Aware Assembly of Complex Industrial Objects by Danrui Li, Jiahao Zhang, Bernhard Egger, Moitreya Chatterjee, Suhas Lohit, Tim K. Marks, and Anoop Cherian
5. LASER: Layer-wise Scale Alignment for Training-Free Streaming 4D Reconstruction by Tianye Ding, Yiming Xie, Yiqing Liang, Moitreya Chatterjee, Pedro Miraldo, and Huaizu Jiang
6. SoREL: Soft-Label Refurbishment with Ensemble Learning for Noisy Long-Tailed Classification by Jun-Wei Hsieh, Ying-Hsuan Wu, Yi-Kuan Hsieh, Xin Li, Kuan-Chuan Peng, Ming-Ching Chang (CVPR Findings paper)
7. MMHOI: Complex 3D Multi-Human-Object Interaction Understanding by Kaen Kogashi and Anoop Cherian (PhysHuman Workshop paper)
Workshops Co-Organized by MERL:
1. Multimodal Algorithmic Reasoning Workshop by Anoop Cherian, Suhas Lohit, Kuan-Chuan Peng, Honglu Zhou, Kevin Smith, and Josh Tenenbaum
2. The Third Workshop on Anomaly Detection with Foundation Models by Kuan-Chuan Peng, Ying Zhao, and Abhishek Aich
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- Date: March 19, 2026
Where: Cambridge, MA
MERL Contact: Gordon Wichern
Research Areas: Artificial Intelligence, Machine Learning, Speech & Audio
Brief - MERL hosted the Boston AI Music Meetup on March 19, 2026, bringing together researchers, musicians, and technologists from the local community to explore the intersection of artificial intelligence and music. The event featured talks on emerging approaches in AI-driven audio and creative tools, including a presentation by Elena Georgieva (NYU MARL) on improving audio quality for singing and speech using CLAP-based methods, as well as a talk by Ashvala Vinay (NoneType) on creative workflows using infinite canvas systems. Following the presentations, attendees participated in a networking session, fostering discussion and collaboration across academia and industry.
The Boston AI Music Meetup has been held monthly since 2024 (including a presentation on MERL’s music source separation work in May 2025), and has grown to include over 1,200 subscribers, attracting attendees from across the Northeast. It provides a forum for knowledge exchange and collaboration within the rapidly evolving AI music ecosystem, with discussions spanning music information retrieval, generative AI, and machine learning for creative practice.
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- Date: March 17, 2026
MERL Contact: Toshiaki Koike-Akino
Research Areas: Artificial Intelligence, Communications, Machine Learning, Signal Processing
Brief - MERL researcher Toshiaki Koike-Akino will serve as a panelist at OFC 2026, the premier global event for optical communications and networking, to be held in Los Angeles, March 15–19.
Dr. Koike-Akino will participate in the special panel session titled “Machine Learning is Taking Over Optical Communications—But Which Algorithms Should We Use?” He will deliver a panel talk titled “Scaling AI with Light: AI Is Taking Over Optics — But Optics May Take Over AI.” His talk will discuss the growing synergy between AI and optical technologies, highlighting the emerging vision of leveraging optical physics not only as an application domain for AI, but also as a platform for scaling future AI systems.
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- Date: January 12, 2026
Where: Orlando, FL
MERL Contact: Purnanand Elango
Research Areas: Control, Optimization
Brief - MERL research scientist Purnanand Elango received the Atmospheric Flight Mechanics (AFM) Best Paper Award at the AIAA SciTech Forum 2026 in January for the paper, “Auto-tuned Primal-dual Successive Convexification for Hypersonic Reentry Guidance.”, that he co-authored during his PhD research at the University of Washington, before joining MERL.
The paper presents a trajectory optimization method that reduces parameter-tuning effort for nonconvex optimization algorithms, such as sequential convex programming, in solving a challenging real-world optimal control problems.
The AIAA SciTech Forum is the flagship conference (more than 6000 attendees from 48 countries) of the American Institute of Aeronautics and Astronautics, the world's largest professional technical society dedicated to aerospace.
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- Date: February 20, 2026
MERL Contact: Abraham P. Vinod
Research Areas: Control, Dynamical Systems, Optimization, Robotics
Brief - MERL researcher Abraham Vinod was an invited speaker at the inaugural CVXPY Workshop 2026, held at Stanford University, USA. CVXPY is an open-source, Python-embedded modeling language for convex optimization, and the workshop brought together researchers and practitioners to share ideas and real-world Python-based applications of convex optimization. Abraham’s talk, titled “pycvxset: Convex Sets in Python,” introduced MERL’s recently released open-source toolbox for convex set manipulation to the CVXPY community. The talk highlighted the toolbox’s capabilities and showcased recent applications in autonomous precision landing and robotics. The workshop details are available at https://www.cvxpy.org/workshop/2026/.
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- Date: February 11, 2026
MERL Contact: Stefano Di Cairano
Research Areas: Control, Dynamical Systems
Brief - Dr. Stefano Di Cairano, Distinguished Research Scientist at MERL and Fellow, IEEE has been recently elected as a member of the board of governor of the IEEE Control Systems Society, for the term 2026-2028.
The Control Systems Society (CSS) is the IEEE society dedicated to advancing the theory and practice of automatic control, engineering systems, and decision-making.
The Board of Governors has the responsibility for governing the IEEE Control Systems Society, by operating according to a set of bylaws to set strategic direction, provide necessary resources, and make key decisions to implement that will meet member needs.
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- Date: January 12, 2026 - January 16, 2026
Where: Orlando, Florida
MERL Contacts: Stefano Di Cairano; Purnanand Elango; Kento Tomita; Abraham P. Vinod; Avishai Weiss
Research Areas: Control, Dynamical Systems, Optimization
Brief - MERL researchers presented 3 papers at the recently concluded AIAA SciTech Forum 2026 in Orlando, Florida. The AIAA SciTech Forum is the flagship conference (more than 6,000 from 48 countries) of the American Institute of Aeronautics and Astronautics, the world's largest professional technical society dedicated to aerospace.
The papers presented by MERL researchers covered 1) a powered descent decision making approach to maximize the probability of safe landing, 2) a set-based robust, optimal, and resilient control architecture for autonomous precision landing, and 3) a continuous-time safe control policy for passively-safe spacecraft rendezvous on a Near Rectilinear Halo Orbit using successive convexification.
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- Date: December 10, 2025
Research Areas: Artificial Intelligence, Machine Learning, Robotics
Brief - Mitsubishi Electric Research Laboratories (MERL) researchers, together with collaborators at Mitsubishi Electric’s Information Technology R&D Center in Kamakura, Kanagawa Prefecture, Japan, and the Department of Information Engineering at the University of Padua, have developed a cutting-edge physics-embedded AI technology that substantially improves the accuracy of equipment degradation estimation using minimal training data. This collaborative effort has culminated in a press release by Mitsubishi Electric Corporation announcing the new AI technology as part of its Neuro-Physical AI initiative under the Maisart program.
The interdisciplinary team, including MERL Senior Principal Research Scientist and Team Leader Diego Romeres and University of Padua researchers Alberto Dalla Libera and Giulio Giacomuzzo, combined expertise in machine learning, physical modeling, and real-world industrial systems to embed physics-based models directly into AI frameworks. By training AI with theoretical physical laws and real operational data, the resulting system delivers reliable degradation estimates on the torque of robotic arms even with limited datasets. This result addresses key challenges in preventive maintenance for complex manufacturing environments and supports reduced downtime, maintained quality, and lower lifecycle costs.
The successful integration of these foundational research efforts into Mitsubishi Electric’s business-scale AI solutions exemplifies MERL’s commitment to translating fundamental innovation into real-world impact.
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- Date: December 2, 2025 - December 7, 2025
Where: San Diego
MERL Contacts: Petros T. Boufounos; Anoop Cherian; Radu Corcodel; Stefano Di Cairano; Chiori Hori; Christopher R. Laughman; Suhas Lohit; Pedro Miraldo; Saviz Mowlavi; Kuan-Chuan Peng; Arvind Raghunathan; Abraham P. Vinod; Pu (Perry) Wang
Research Areas: Artificial Intelligence, Computational Sensing, Computer Vision, Control, Data Analytics, Dynamical Systems, Machine Learning, Multi-Physical Modeling, Optimization, Robotics, Signal Processing, Speech & Audio
Brief - MERL researchers presented 2 main-conference papers and 5 workshop papers, as well as organized a workshop, at NeurIPS 2025.
Main Conference Papers:
1) Sorachi Kato, Ryoma Yataka, Pu Wang, Pedro Miraldo, Takuya Fujihashi, and Petros Boufounos, "RAPTR: Radar-based 3D Pose Estimation using Transformer", Code available at: https://github.com/merlresearch/radar-pose-transformer
2) Runyu Zhang, Arvind Raghunathan, Jeff Shamma, and Na Li, "Constrained Optimization From a Control Perspective via Feedback Linearization"
Workshop Papers:
1) Yuyou Zhang, Radu Corcodel, Chiori Hori, Anoop Cherian, and Ding Zhao, "SpinBench: Perspective and Rotation as a Lens on Spatial Reasoning in VLMs", NeuriIPS 2025 Workshop on SPACE in Vision, Language, and Embodied AI (SpaVLE) (Best Paper Runner-up)
2) Xiaoyu Xie, Saviz Mowlavi, and Mouhacine Benosman, "Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization", Workshop on Machine Learning and the Physical Sciences (ML4PS)
3) Spencer Hutchinson, Abraham Vinod, François Germain, Stefano Di Cairano, Christopher Laughman, and Ankush Chakrabarty, "Quantile-SMPC for Grid-Interactive Buildings with Multivariate Temporal Fusion Transformers", Workshop on UrbanAI: Harnessing Artificial Intelligence for Smart Cities (UrbanAI)
4) Yuki Shirai, Kei Ota, Devesh Jha, and Diego Romeres, "Sim-to-Real Contact-Rich Pivoting via Optimization-Guided RL with Vision and Touch", Worskhop on Embodied World Models for Decision Making
5) Mark Van der Merwe and Devesh Jha, "In-Context Policy Iteration for Dynamic Manipulation", Workshop on Embodied World Models for Decision Making
Workshop Organized:
MERL members co-organized the Multimodal Algorithmic Reasoning (MAR) Workshop (https://marworkshop.github.io/neurips25/). Organizers: Anoop Cherian (Mitsubishi Electric Research Laboratories), Kuan-Chuan Peng (Mitsubishi Electric Research Laboratories), Suhas Lohit (Mitsubishi Electric Research Laboratories), Honglu Zhou (Salesforce AI Research), Kevin Smith (Massachusetts Institute of Technology), and Joshua B. Tenenbaum (Massachusetts Institute of Technology).
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- Date: November 11, 2025 - November 13, 2025
MERL Contact: Abraham P. Vinod
Research Areas: Artificial Intelligence, Control, Dynamical Systems, Machine Learning, Optimization, Robotics
Brief - MERL researcher Abraham Vinod was invited to present MERL's latest research at the University of Texas at Austin and The University of Texas at Dallas this November. His talk discussed a tractable set-based method for a broad class of robust control problems with nonlinear dynamics and bounded uncertainty, with applications to powered descent guidance and drone motion planning problems. Additionally, he also presented MERL's recent research on environmental monitoring using hetereogenous robots, with applications in disaster management and search-and-rescue.
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- Date: November 14, 2025
MERL Contacts: Jonathan Le Roux; Gordon Wichern
Research Areas: Artificial Intelligence, Machine Learning, Speech & Audio
Brief - Two members of MERL’s Speech and Audio Team have been elected to important positions within the IEEE Audio and Acoustic Signal Processing Technical Committee (AASP TC), a leading body of the IEEE Signal Processing Society that brings together experts from academia and industry working on speech, music, environmental audio, spatial acoustics, enhancement, separation, and machine learning for audio. The committee plays a central role in guiding the scientific direction of the field by promoting emerging research areas, shaping major conferences such as ICASSP and WASPAA, organizing special sessions and tutorials, and fostering a vibrant and collaborative global community.
Jonathan Le Roux, Senior Team Leader and Distinguished Research Scientist, has been elected as the next Vice Chair of the AASP TC. His election reflects his longstanding contributions to the audio and acoustic signal processing community, his leadership in workshop and conference organization, and his significant impact across a wide range of research areas within the TC’s scope. Jonathan will serve a one-year term as Vice Chair, after which he will succeed Prof. Minje Kim (UIUC) as Chair of the AASP TC for a two-year term in 2027–28, helping steer the committee’s strategic initiatives and continued growth.
During the same election, Senior Principal Research Scientist Gordon Wichern, who currently serves as Chair of the Review Subcommittee, was reelected for a second three-year term as a member of the AASP TC, serving from 2026 to 2028. His continued presence on the committee reflects his impactful research and active service to the audio and acoustic signal processing community.
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- Date: April 7, 2025
Awarded to: Christopher Ick, Gordon Wichern, Yoshiki Masuyama, François G. Germain, and Jonathan Le Roux
MERL Contacts: Jonathan Le Roux; Yoshiki Masuyama; Gordon Wichern
Research Areas: Artificial Intelligence, Machine Learning, Speech & Audio
Brief - MERL's Speech & Audio team ranked 1st out of 3 teams in the Generative Data Augmentation of Room Acoustics (GenDARA) 2025 Challenge, which focused on “generating room impulse responses (RIRs) to supplement a small set of measured examples and using the augmented data to train speaker distance estimation (SDE) models". The team was led by MERL intern Christopher Ick, and also included Gordon Wichern, Yoshiki Masuyama, François G. Germain, and Jonathan Le Roux.
The GenDARA Challenge was organized as part of the Generative Data Augmentation (GenDA) workshop at the 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2025), and held on April 7, 2025 in Hyderabad, India. Yoshiki Masuyama presented the team's method, "Data Augmentation Using Neural Acoustic Fields With Retrieval-Augmented Pre-training".
The GenDARA challenge aims to promote the use of generative AI to synthesize RIRs from limited room data, as collecting or simulating RIR datasets at scale remains a significant challenge due to high costs and trade-offs between accuracy and computational efficiency. The challenge asked participants to first develop RIR generation systems capable of expanding a sparse set of labeled room impulse responses by generating RIRs at new source–receiver positions. They were then tasked with using this augmented dataset to train speaker distance estimation systems. Ranking was determined by the overall performance on the downstream SDE task. MERL’s approach to the GenDARA challenge centered on a geometry-aware neural acoustic field model that was first pre-trained on a large external RIR dataset to learn generalizable mappings from 3D room geometry to room impulse responses. For each challenge room, the model was then adapted or fine-tuned using the small number of provided RIRs, enabling high-fidelity generation of RIRs at unseen source–receiver locations. These augmented RIR sets were subsequently used to train the SDE system, improving speaker distance estimation by providing richer and more diverse acoustic training data.
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- Date: October 19, 2025 - October 23, 2025
Where: Honolulu, HI, USA
MERL Contacts: Petros T. Boufounos; Anoop Cherian; Toshiaki Koike-Akino; Hassan Mansour; Tim K. Marks; Pedro Miraldo; Kuan-Chuan Peng; Pu (Perry) Wang
Research Areas: Artificial Intelligence, Computer Vision, Machine Learning, Signal Processing
Brief - MERL researchers presented 3 conference papers and 3 workshop papers, co-organized 2 workshops, and delivered 2 invited talks at the IEEE International Conference on Computer Vision (ICCV) 2025, which was held in Honolulu, HI, USA from October 19-23, 2025. ICCV is one of the most prestigious and competitive international conferences in the area of computer vision. Details of MERL contributions are provided below:
Main Conference Papers:
1. "SAC-GNC: SAmple Consensus for adaptive Graduated Non-Convexity" by V. Piedade, C. Sidhartha, J. Gaspar, V. M. Govindu, and P. Miraldo. (Highlight Paper)
Paper: https://www.merl.com/publications/TR2025-146
2. "Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts" by C.-A. Yang, K.-C. Peng, and R. A. Yeh.
Paper: https://www.merl.com/publications/TR2025-124
3. "Manual-PA: Learning 3D Part Assembly from Instruction Diagrams" by J. Zhang, A. Cherian, C. Rodriguez-Opazo, W. Deng, and S. Gould.
Paper: https://www.merl.com/publications/TR2025-139
MERL Co-Organized Workshops:
1. "The Workshop on Anomaly Detection with Foundation Models (ADFM)" by K.-C. Peng, Y. Zhao, and A. Aich.
Workshop link: https://adfmw.github.io/iccv25/
2. "The 8th International Workshop on Computer Vision for Physiological Measurement (CVPM)" by D. McDuff, W. Wang, S. Stuijk, T. Marks, H. Mansour, V. R. Shenoy.
Workshop link: https://sstuijk.estue.nl/cvpm/cvpm25/
MERL Keynote Talks at Workshops:
1. Tim K. Marks, Keynote Speaker at the Workshop on Computer Vision for Physiological Measurement (CVPM).
Workshop website: https://vineetrshenoy.github.io/cvpmSeptember2025/
2. Tim K. Marks, Keynote Speaker at the Workshop on Analysis and Modeling of Faces and Gestures (AMFG).
Workshop website: https://fulab.sites.northeastern.edu/amfg2025/
Workshop Papers:
1. "Joint Training of Image Generator and Detector for Road Defect Detection" by K.-C. Peng.
paper: https://www.merl.com/publications/TR2025-149
2. "Radar-Conditioned 3D Bounding Box Diffusion for Indoor Human Perception" by R. Yataka, P. Wang, P.T. Boufounos, and R. Takahashi.
paper: https://www.merl.com/publications/TR2025-154
3. "L-GGSC: Learnable Graph-based Gaussian Splatting Compression" by S. Kato, T. Koike-Akino, and T. Fujihashi.
paper: https://www.merl.com/publications/TR2025-148
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- Date: July 27, 2025 - July 31, 2025
Where: Austin,TX
MERL Contact: Hongbo Sun
Research Area: Electric Systems
Brief - Hongbo Sun has been recognized with the 2025 IEEE PES Prize Paper Award for co-authoring the paper “Methods for Analysis and Quantification of Power System Resilience”, published in the IEEE Transactions on Power Systems in 2023. The paper summarizes the report prepared by an IEEE PES Task Force that defines and quantifies power system resilience. Resilience is a fairly new technical concept for power systems, and it is important to precisely delineate this concept for actual applications. This paper defines resilience, compares resilience with related technical concepts, and summarizes measures to enhance system resilience. Several gaps are identified to indicate further needs for research and development.
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- Date: August 27, 2025
Awarded to: Yingjie Hu (Student, Intern), Karl Berntorp, Stefano Di Cairano (MERL Researchers)
MERL Contact: Stefano Di Cairano
Research Areas: Control, Dynamical Systems, Signal Processing
Brief - MERL intern Yingjie Hu was recognized as the winner of the 2025 IEEE CCTA Best Student Paper Award for the paper "Optimal Measurement Projection in GNSS-RTK Factor Graph Optimization" written in collaboration with MERL Researchers Karl Berntorp and Stefano Di Cairano during the internship at MERL
The paper develops methods for measurement projections for reducing the computational burden of factor graph optimization algorithms in GNSS applications, thus enabling their use in real-time in a wider range of positioning applications.
The IEEE Conference on Control Technology and Application is the conference of the IEEE Control Systems Society focused on applications and technological advances of control systems
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- Date: June 1, 2025
Awarded to: Arvind Raghunathan, Daniel Nikovski
MERL Contacts: Daniel N. Nikovski; Arvind Raghunathan
Research Areas: Electric Systems, Optimization
Brief - A publication jointly authored by Mitsubishi Electric Corporation's Advanced Technology Center (ATC) and MERL researchers has been recognized with the 2025 IEEJ Distinguished Paper Award by the Institute of Electrical Engineers Japan. The paper titled "Power Band Model Based on Flow Network and Weekly Unit Commitment Problem Considering Reserve Market" published in the IEEJ Transactions on Power and Energy presents a novel Unit Commitment formulation for scheduling the generator operations. Arvind Raghunathan and Daniel Nikovksi were co-authors on this publication.
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- Date: July 16, 2025 - July 18, 2025
Research Areas: Artificial Intelligence, Control, Machine Learning, Optimization, Robotics, Human-Computer Interaction
Brief - MERL researcher Diego Romeres was invited to present MERL's latest research at two institutions in Italy this July, focusing on human-robot collaboration and LLM-driven assembly systems.
On July 16th, Dr. Romeres delivered a talk titled “Human-Robot Collaborative Assembly” at Fraunhofer Italia – Innovation Engineering Center (EIC) in Bolzano. His presentation showcased research on human-robot collaboration for efficient and flexible assembly processes. Fraunhofer Italia EIC is a non-profit research institute focused on enabling digital and sustainable transformation through applied innovation in close collaboration with both public and private sectors.
Two days later, on July 18th, Dr. Romeres was hosted by the University of Padua, one of Europe’s oldest and most renowned universities. His invited lecture, “Robot Assembly through Human Collaboration & Large Language Models”, explored how artificial intelligence can enhance human-robot synergy in complex assembly tasks.
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- Date: July 8, 2025 - July 10, 2025
Where: Denver, USA
MERL Contacts: Vedang M. Deshpande; Stefano Di Cairano; Purnanand Elango; Jordan Leung; Saviz Mowlavi; Abraham P. Vinod; Yebin Wang; Avishai Weiss
Research Areas: Control, Dynamical Systems, Electric Systems, Machine Learning, Multi-Physical Modeling, Robotics
Brief - MERL researchers presented 13 papers at the recently concluded American Control Conference (ACC) 2025 in Denver, USA. The papers covered a wide range of topics including Bayesian optimization for personalized medicine, machine learning for battery performance in eVTOLs, model predictive control for space and building systems, process systems engineering for sustainability, GNSS-RTK optimization, convex set manipulation, PDE control, servo system modeling, battery fault diagnosis, truck fleet coordination, interactive motion planning, and satellite station keeping. Additionally, MERL researchers (Vedang Deshpande and Ankush Chakrabarty) organized an invited session on design and optimization of energy systems.
As a sponsor of the conference, MERL maintained a booth for open discussions with researchers and students, and hosted a special session to discuss highlights of MERL research and work philosophy.
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- Date: June 23, 2025
Awarded to: Bingnan Wang, Tatsuya Yamamoto, Yusuke Sakamoto, Siyuan Sun, Toshiaki Koike-Akino, and Ye Wang
MERL Contacts: Toshiaki Koike-Akino; Bingnan Wang; Ye Wang
Research Areas: Machine Learning, Multi-Physical Modeling, Optimization
Brief - The MELSUR (Mitsubishi Electric SURrogate) team, consisting of a group of MERL and Mitsubishi Electric researchers, ranked first in two out of three categories in the GalFer Contest.
The GalFer (Galileo Ferraris) contest aims to compare the accuracy and efficiency of data-driven methodologies for the multi-physics simulation of traction electric machines. A total of 26 teams worldwide participated in the contest, which consists of three categories. The MELSUR team, including MERL staff Bingnan Wang, Toshiaki Koike-Akino, Ye Wang, MERL intern Siyuan Sun, Mitsubishi Electric researchers Tatsuya Yamamoto and Yusuke Sakamoto, ranked first for the category of "Novelty" and "Interpolation". The results were announced during an award ceremony at the COMPUMAG 2025 conference in Naples, Italy.
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- Date: June 24, 2025 - June 27, 2025
Where: Thessaloniki
MERL Contacts: Stefano Di Cairano; Daniel N. Nikovski; Yebin Wang
Research Areas: Control, Dynamical Systems, Machine Learning, Multi-Physical Modeling, Optimization, Robotics
Brief - MERL researchers contributed to both the technical program and workshop organization at the 2025 European Control Conference (ECC), held in Thessaloniki, Greece, from June 24 to 27. ECC is one of the premier conferences in the field of control.
In the main conference, MERL researchers presented four papers covering a range of topics, including: Representation learning, Motion planning for tractor-trailers, Motion planning for mobile manipulators, Learning high-dimensional dynamical systems, Model learning for robotics.
Additionally, MERL co-organized a workshop with the University of Padua titled “Reinforcement Learning for Robotic Control: Recent Developments and Open Challenges.” MERL researcher Diego Romeres also delivered an invited talk titled “Human-Robot Collaborative Assembly” in that workshop.
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