Alice Agogino

https://lnkd.in/grkhpeDc The typical approach to increasing the critical current density Jc in superconductors is to add defects that serve as vortex pinning centers. This may limit the maximum achievable Jc to ~30% of the depairing current density Jd. Here, we (a large collaboration lead by Prof. Masashi Miura) decided to target increasing Jd itself through electron doping and were able to achieve the highest in-field critical current densities for iron-based superconductors to-date!

42

Dear friends, you are invited to contribute with papers in the Special Issue entitled “Autonomous and Intelligent Robotics”, of the "Electronics" journal. Please also disseminate this opportunity to your colleagues and collaborators. We welcome contributions exploring the state of the art of autonomous systems, intelligent industrial robotics, and their transformative implications. This Special Issue covers various topics, from the design and implementation of autonomous and intelligent robotic systems to the intricate societal and ethical challenges they introduce. The journal "Electronics" is indexed in the Clarivate Analytics, Category Quartile Q2. https://lnkd.in/d5R_fT7n #intelligent #robots #autonomous #AI

43

Congratulations, Matthew DeLorenzo, on getting your first paper accepted and open-sourcing the code. While LLMs are increasingly used for code generation across various domains, there's a notable gap: few are evaluating the creativity of these codes. If you wish to assess the "creativity" of LLMs in generating Verilog code, here is a (incomplete) set of metrics. https://lnkd.in/gR6bjbNZ Here is the pre-print of the paper accepted at LAD. https://lnkd.in/gdbXAgSp

17

We at Northwestern University Computer Science Department were delighted to host shafi goldwasser, winner of the ACM, Association for Computing Machinery Turing Award, and Director of the Simons Institute for the Theory of Computing here on Friday May 10. She also shared with us the sad story that Jim Simons, mathematician and founder of Renaissance Technologies LLC passed away yesterday at the age of 86. Rest in peace Jim. Read more about Jim Simons here - https://lnkd.in/gPXrM6n8 #simons #acm Here talk was about "Trust, Backdoor Vulnerabilities and Possible Mitigations". Abstract: Cryptographic tools and models enable to trust the use of technology platforms controlled by worst case computationally bounded adversaries. In this talk I will use cryptographic modeling and tools to view trust dilemmas in various phases of the machine learning pipelines. We will touch on privacy in the training stage, verification of properties of machine learning models, and the possibility of achieving robustness in presence of backdoors.

81

As the lead PI along with the team including PI: Kshitij Khare (University of Florida), PI: Aaron Welters (Florida Institute of Technology), and CoPI Xianqi Li (Florida Institute of Technology), we received an NSF award titled "Collaborative Research: Data-driven Realization of State-space Dynamical Systems via Low-complexity Algorithms" from 2024 to 2027 (total $389,853 among universities). We will use data-driven methods and analyze state-space dynamical systems to predict and understand future states, surpassing classical techniques. We use machine learning (ML) algorithms to analyze and predict spatiotemporal data efficiently and extract hidden information from multidimensional data using low-complexity ML algorithms. We sincerely thank the program directors in Computational Mathematics at the Division of Mathematical Sciences at the NSF, as well as the reviewers for recognizing our work. #lowcomplexity, #dynamicalsystems, #SOTAML, #NSF_MPS, #DMSFunded, #ERAU, #UF, #FIT, #Convergeresearch https://lnkd.in/gR4JRcUZ

40

8 Comments

I'm excited to share some fantastic news—my colleagues and I have been honored with the prestigious 10-Year Test of Time Award for our co-authored paper at IEEE VIS 2024! This recognition highlights the lasting impact of our contributions to the field of visual analytics. Originally published in 2014, our paper, titled "Knowledge Generation Model for Visual Analytics," introduces a theoretical framework that outlines the key steps users take to derive actionable insights from data through their interactions with visual analytics systems. We presented a model featuring three interconnected loops—exploration, verification, and knowledge generation—to represent the cognitive processes involved in visual analysis. This framework emphasizes the central role of human cognition, serving as a foundation for evaluating existing systems and guiding the design of new ones to enhance knowledge discovery. Since its publication, I’ve relied on this diagram in nearly every presentation to explain my research and the broader field. It has significantly shaped how I view and articulate the value of collaboration between humans and computers in visual analytics systems. I’m thrilled to see our field advancing knowledge based on—and extending beyond—our work. I also want to express my deep appreciation to my co-authors, Dominik Sacha, Andreas Stoffel, Florian Stoffel, Geoffrey Ellis, and Daniel Keim! Paper: https://lnkd.in/eTf96ktn Award Page: https://lnkd.in/ekyhBXQv

206

11 Comments

Call for Papers: IEEE Life Members Conference 2025, Technical Sessions Conference Date: June 11-13, 2025 Location: Tufts University, Boston, MA, USA Submission Deadline: December 1, 2024 Notification of Acceptance: February 1, 2025 Publication-Ready Submission: March 15, 2025 Technical Program Chair: Dr. Jerry Hudgins, [email protected] The IEEE Life Members Conference 2025 invites submissions of original research papers, reviews, and case studies from IEEE Members and other professionals for its Technical Program. The conference technical program will promote collaboration and share advancements in technology products, services and processes developed for or directed at an aging population. The conference has three primary focus areas: 1. Technology – explore selected emerging technologies that impact seniors.  Technologies of the Future and the Next Chapter  Aging Society and Technology Progress 2. Applications – discuss applications of technology for aging populations  Financial and Investment Strategies  Smart Systems, Infrastructure, Equipment and Living 3. Contributions – sharing resources with future leaders  Mentors and Influencers in the Modern Society  Professional Development, Sharing and STEM Education Topics of Interest for Submissions • Technological Innovations: • Advances in Electrical and Electronics Engineering • Sustainable Energy Solutions, Green Technologies and Systems • Internet of Things (IoT) • Computing and Informatics: • Generative Artificial Intelligence and Machine Learning • Cybersecurity and Cybercrime • Cloud Computing • Industry Applications: • Healthcare and Telehealth • Biomedical Engineering • Telecommunications • Autonomous Systems and Robotics

1

Over the past few days, we had the privilege of organizing and hosting the Digital Twins for Manufacturing Workshop—a collaborative effort bringing together leading experts from academia, industry, and government to explore the transformative potential of Digital Twin (DT) technology in U.S. manufacturing. Key Highlights from the Workshop: 1. Paradigm Shift in Manufacturing: We explored how DTs are redefining the manufacturing landscape with real-time decision-making, predictive maintenance, and lifecycle management. 2. Strategic Roadmap for U.S. Leadership: Discussions centered on advancing DT technology to enhance the resilience, sustainability, and global competitiveness of U.S. manufacturing. 3. Standards and Interoperability: Participants emphasized the importance of unified data standards and interoperability frameworks to enable seamless DT adoption across industries. 4. Workforce Development: We addressed the critical need for educational pathways and training programs to prepare a skilled workforce capable of managing and innovating with DT technologies. 5. Collaboration Opportunities: The workshop highlighted the role of public-private partnerships, cross-industry collaborations, and shared R&D in accelerating DT advancements. This event was a remarkable platform for generating actionable insights, fostering interdisciplinary collaboration, and aligning strategies with national manufacturing priorities. Special Thanks to the Organizing Committee: This workshop would not have been possible without the dedication and expertise of our organizing committee: Sudarsan R. George Bollas Jacquelynn Garofano Krishna Pattipati Soundar Kumara Sankaran Mahadevan .Ripi Singh, Digital Transformation Coach Seth C. Newton Together, we are paving the way for the U.S. to lead in the development and deployment of Digital Twins, driving innovation and competitiveness in advanced manufacturing. For more details about the workshop, visit: https://lnkd.in/eBfRiCT7 Again, thank you to everyone who contributed to making this event a success! Let’s continue the momentum and build a future-ready manufacturing ecosystem. #DigitalTwins #SmartManufacturing #Innovation #DOE #NSF #UConn

39

5 Comments

Are you working at the intersection of foundation models, large vision models and earth observations? If so, we invite you to submit your work in the following special issue in the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing https://lnkd.in/gRDRMnyE Topics include (but are not limited to):  - Foundation Models, Large Vision Language Models and Large Multi-Modal Models in Remote Sensing  - Discriminative and Generative Models   - Training of Large Vision Models (e.g. masked image modeling, new datasets, and benchmarks)  - Deploying Large Vision Models for downstream tasks (e.g. segmentation, classification, regression, object detection, counting, change detection etc.)  - Adaptation strategies, prompt tuning and visual instruction tuning  - Few-shot and Continual learning  - Open-set recognition and classification  - Applications to Remote Sensing and Earth Observations  - Applications to multi-sensor and multi-temporal datasets IEEE Geoscience and Remote Sensing Society (GRSS) #ComputerVision #EarthObservations #IEEEGRSS #RemoteSensing #FoundationModels #LargeVisionModels #Geospatial #GeoAI

20

In my recently published paper in the #SEFI Journal of Engineering Education Advancement (JEAA), I investigate how undergraduate first-year mechanical engineering students use Generative Artificial Intelligence (#GenAI) tools in their #programming assessments. The findings indicate that attempting to ban these tools in assessments that focus on processes like code testing or error message explanation is impractical. Instead, these tools can significantly enhance and optimize students' learning experience rather than hinder them. Access and read the full paper here: https://lnkd.in/gRxvhN2z or scan the QR code in the photo below. UCL, UCL Engineering, UCL Mechanical Engineering #GenAI #EngineeringEducation #Engineering #GenerativeArtificialIntelligence

62

5 Comments

I am grateful to UC Berkeley Industrial Engineering & Operations Research for recommending the s.t. podcast, especially the very inspiring episode with Prof. Candi Yano!

90

Many thanks to INCOSE New England Chapter and Shamsnaz Bhada, Amro M. Farid, and Peter Huie for inviting me to speak at the Fall Workshop on #AI Landscape in #SystemsEngineering. The workshop was held at historic Worcester Polytechnic Institute and featured excellent discussions on why Systems Engineering is needed for AI-enabled systems. I spoke about our recently published work on #ExplainableAI and Test and Evaluation of #ReinforcementLearning. As systems engineers, we are not only interested in how AI works, but how, why, and where it fails.

65

2 Comments

“Trust and Dependence on Robotic Decision Support” has been published in IEEE Transactions on Robotics! Early access link here: https://lnkd.in/eMbcEQ-h. Bravo to Manisha Natarajan on her strong experimental work to inform how we design for appropriate trust in robotic systems.

13

It's #FreePaperFriday, and I'd like to follow up on last week's post about work in Purdue University School of Materials Engineering on experimental measurements of the properties of molecular crystals. Know what else we do here at Purdue? We also use computational tools to study these complex materials systems, and the complexity in the molecules, the need to consider atoms and molecules in the simulations, and the low symmetry structures make them just as tricky to simulate as to test experimentally. But hard doesn't stop Boilermakers. So, for today here's a new paper from Prof. Alejandro Strachan and Dr. Brian Lee at Purdue with their collaborators James Larentzos and John K Brennan at the Army Research Laboratory where they develop new computational force field methods to coarse grain the simulation of the crystalline material RDX, allowing simulations of structures in both crystalline and amorphous conditions and showing you can scale these up from a few molecules to particulate solids. https://lnkd.in/gk9tQk6z

48

Welcome to join this quantum computing talk by UCF CompArch seminar!

20

Congratulations to Tangyou Liu on having a paper accepted in IEEE Transactions on Robotics - one of the premier journals in robotics research! In the paper, "Automatic Tissue Traction Using Miniature Force-Sensing Forceps for Minimally Invasive Surgery", we developed a robust controller designed to automate tissue traction in minimally invasive surgery. This research demonstrates the feasibility and impact of automating delicate surgical tasks, which could significantly enhance precision and outcomes in surgical robotics. The research also contributes to pushing advancements in autonomous robotic surgery. The method builds on our earlier work, where we introduced a novel vision-based force sensor for minature forceps, published in IEEE/ASME Transactions on Mechatronics earlier this year. Paper: https://lnkd.in/gKnMwSDK A big thank you to our co-authors Xiaoyi Wang, Jay Katupitiya, and Jiaole Wang for their outstanding contributions to this work! We would also like to thank the great support from UNSW Mechanical and Manufacturing Engineering, UNSW Engineering, and UNSW Tyree Foundation Institute of Health Engineering! Learn more about our research: Paper: https://lnkd.in/grtuWXN6 Video: https://lnkd.in/gPJ4Sbgy #Research #Innovation #Robotics #Healthcare #MedicalRobotics #SurgicalRobotics #AutonomousSurgery

60

8 Comments

Another research topic: the field of medical robotics and intelligent systems. A list of research areas conducted by our ECE faculty is included at the end of this post. Assistant Professor Dr. Mostafa Rahbar's most recent paper, titled 'Enhanced U-Net with GridMask (EUGNet): A Novel Approach for Robotic Surgical Tool Segmentation,' can be found at the link below. Great work Dr. Rahbar! Mostafa Daneshgar Rahbar, Ph.D. is also currently working on another project with George P Pappas Ph.D. and Nabih Jaber, Ph.D. on an intraoperative visual intelligence system, specifically “Real-Time Surgical Instrument Segmentation for Enhanced Surgical Monitoring.” https://lnkd.in/eiSmfJDA This study proposed enhanced U-Net with GridMask (EUGNet) image augmentation techniques focused on pixel manipulation, emphasizing GridMask augmentation. This study introduces EUGNet, which incorporates GridMask augmentation to address U-Net’s limitations. EUGNet features a deep contextual encoder, residual connections, class-balancing loss, adaptive feature fusion, GridMask augmentation module, efficient implementation, and multi-modal fusion. These innovations enhance segmentation accuracy and robustness, making it well-suited for medical image analysis. The GridMask algorithm is detailed, demonstrating its distinct approach to pixel elimination, enhancing model adaptability to occlusions and local features. A comprehensive dataset of robotic surgical scenarios and instruments is used for evaluation, showcasing the framework’s robustness. Specifically, there are improvements of 1.6 percentage points in balanced accuracy for the foreground, 1.7 points in intersection over union (IoU), and 1.7 points in mean Dice similarity coefficient (DSC). These improvements are highly significant and have a substantial impact on inference speed. The inference speed, which is a critical factor in real-time applications, has seen a noteworthy reduction. It decreased from 0.163 milliseconds for the U-Net without GridMask to 0.097 milliseconds for the U-Net with GridMask. ECE faculty research areas include: . Intelligent Transportation Systems . Smart Grid Power Line Communications . Artificial Intelligence . Intelligent Systems . Medical Robotics . Wireless Communication, Vehicle Communication Network, Sensor Networks . Speech Enhancement Techniques . Internet of Things . Digital Signal Processing . Embedded System and Software . Non-Destructive Optical Detection, Ultrasound Generation and imaging, Photoacoustic Imaging and Sensing . Augmented reality #technology #robotics #smart #AI

44

2 Comments

🚀 Just Published! 🎉 I am excited to share the publication of our second research article, "Boundary Output Feedback Stabilization for a Novel Magnetizable Piezoelectric Beam Model," which is now available in the IEEE database. This study addresses the challenge of exponential stabilization in magnetizable piezoelectric beams by designing non-collocated controllers and observers. We prove uniform exponential stability through a novel Lyapunov-based approach, providing critical insights for model reduction techniques using Finite Differences. Co-authors are Western Kentucky University graduate students UTHMAN RASAQ, Ibrahim Khalilullah. #Research #Math #Piezoelectric #ControlSystems #PDE #Engineering #ModelReduction #Stability #IEEE

16