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NSF Programming

An Overview of the NSF DCSD Program

Session Organizers:
Marcello Canova, National Science Foundation, mcanova@nsf.gov
Alexander Leonessa, National Science Foundation, aleoness@nsf.gov
Alena Talkachova, National Science Foundation, atalkach@nsf.gov
Yue Wang, National Science Foundation, yuewang@nsf.gov

Abstract: The National Science Foundation (NSF) offers multiple funding opportunities for scientists and engineers, both within disciplinary programs in Engineering and other directorates, and through foundation-wide cross-cutting initiatives. Within the Civil, Mechanical and Manufacturing Innovation (CMMI) Division, the Dynamics, Control and Systems Diagnostics (DCSD) program supports fundamental theoretical, computational, and experimental research that is knowledge-driven or inspired by applications, focusing on the modeling, analysis, diagnostics and control of the dynamic behavior of systems. This Special Session will offer an overview of the DCSD program, highlighting funding opportunities for the research communities engaged in nonlinear dynamics, structural dynamics, vibrations, acoustics, fluid-structure interactions, and metamaterials. Participants will also learn about specific initiatives aimed at supporting junior investigators, along with essential guidelines for preparing proposals. Key aspects of NSF's criteria for Intellectual Merit and Broader Impacts will be discussed to aid in writing competitive proposals. The session will include a Q&A segment.

Talk Information: Program Directors from the National Science Foundation (NSF) will lead this session, beginning with an overview of the DCSD program and exploring challenges and opportunities relevant to the VIB community, within the current funding landscape. The session will then include suggestions for writing successful proposals. Participation is highly encouraged - attendees will be able to engage directly with the Program Directors, clarify any uncertainties, and discuss potential ideas or concerns.

Estimated Duration: 90 minutes


Marcello Canova, Ph.D.

Marcello Canova, Ph.D.
Program Director - Dynamics, Control and Systems Diagnostics (DCSD)
Boosting Research Ideas for Transformative and Equitable Advances in Engineering (BRITE)
Division of Civil, Mechanical and Manufacturing Innovation (CMMI)
National Science Foundation

Dr. Marcello Canova is a Program Director for the Dynamics, Control and Systems Diagnostics (DCSD), at the National Science Foundation. He is Professor in the Department of Mechanical and Aerospace Engineering at The Ohio State University and a core faculty member at the Center for Automotive Research. Dr. Canova conducts research in dynamic systems modeling, control optimization, and optimal control. His interests lie in advanced propulsion systems, vehicle electrification, energy storage systems, energy management and transportation systems. Dr. Canova has collaborated extensively with leading automotive manufacturers, government agencies, and research consortia, creating energy efficient solutions for internal combustion engines, hybrid electric vehicles, lithium-ion batteries and connected/automated vehicles. Dr. Canova’s contributions have been recognized through numerous peer-reviewed publications, patents, and invited talks at international conferences.

 

Alena Talkachova, Ph.D.

Alena Talkachova, Ph.D.
Program Director, Dynamics, Control and Systems Diagnostics (DCSD)
Division of Civil, Mechanical and Manufacturing Innovation (CMMI)
National Science Foundation

Dr. Alena Talkachova is a Program Director for the Dynamics, Control and Systems Diagnostics (DCSD), at the National Science Foundation. She is a Professor in the Biomedical Engineering Department and a member of a graduate faculty in the Electrical and Computer Engineering Department at the University of Minnesota. Dr. Talkachova has extensive expertise in cardiac electrophysiology, cardiac imaging, numerical simulations, and signal processing. She investigates the electrical activity of the heart from a nonlinear dynamics perspective, aiming to reveal mechanisms of complex cardiac rhythms leading to arrhythmias and to develop algorithms to control such arrhythmias. Dr. Talkachova also developed several novel signal frameworks to perform sophisticated analysis of various bio-signals with the aim to reveal their intrinsic complexity, which cannot be captured via standard signal processing approaches. Dr. Talkachova’s contributions have been recognized through numerous peer-reviewed publications, patents, and invited talks at international conferences.

 

Alex Leonessa, Ph.D.

Alex Leonessa, Ph.D.
Program Director - Dynamics, Control and Systems Diagnostics (DCSD)
Foundational Research in Robotics (FRR)
Mind, Machine and Motor Nexus (M3X)
Division of Civil, Mechanical and Manufacturing Innovation (CMMI)
National Science Foundation

Dr. Alexander Leonessa is a leader in control systems, robotics, and human-machine interaction with over 20 years of experience in academia and research administration. He holds a Ph.D. in Aerospace Engineering and a M.S. in Applied Mathematics from Georgia Tech as well as a B.S. in Aeronautical Engineering from the University of Rome "La Sapienza." A former Full Professor at Virginia Tech, Dr. Leonessa has authored 140+ publications, secured $25 million in research funding, and graduated 50+ graduate students. His work, funded by NSF, DoD, and NASA, spans autonomous vehicles, assistive robotics, and intelligent control systems. He has held leadership roles as Associate Department Head, Director of the Proposal Development Institute, and Chair of the Commission on Research, where he modernized curricula, strengthened industry ties, and advanced interdisciplinary collaboration. Currently, as a Program Director at NSF, he shapes national research priorities in control systems, robotics, and human-machine interaction. A dedicated mentor and advocate for faculty and students, he champions collaboration, innovation, and strategic growth in engineering.

 

Yue Wang, Ph.D.

Yue Wang, Ph.D.
Program Director - Dynamics, Control and Systems Diagnostics (DCSD)
Foundational Research in Robotics (FRR)
Boosting Research Ideas for Transformative and Equitable Advances in Engineering (BRITE)
Division of Civil, Mechanical and Manufacturing Innovation (CMMI)
National Science Foundation

Dr. Yue Wang is a Program Director for the DCSD, FRR, and BRITE programs at the National Science Foundation (NSF). She is the Warren H. Owen-Duke Energy Professor of Engineering and the Director of the Interdisciplinary and Intelligent Research (I2R) laboratory at the School of Mechanical and Automotive Engineering at Clemson University. Dr. Wang’s research interests are human-robot interaction systems, multi-robot systems, and cyber-physical systems. Her research contributions include trust-based control for human-robot collaboration systems, collaborative robotics for manufacturing, multi-robot symbolic motion planning, and human-aware control and learning of autonomous vehicles. Dr. Wang has received the Air Force Office of Scientific Research Young Investigator Program (AFOSR-YIP) award, the NSF CAREER award, and the Air Force Summer Faculty Fellowships. Dr. Wang is a Fellow of ASME and a Senior Member of IEEE. She has served as an (Associate) Editor for several leading ASME, IEEE, and IFAC journals and conferences in controls and robotics. Dr. Wang’s contributions have been recognized through numerous peer-reviewed publications including best and top-cited papers, and invited talks at international conferences, universities, national laboratories, and industries. Her work has been featured in NSF Science360, ASEE First Bell, State News, SC EPSCoR/IDeA Research Focus, and Clemson University News.

CHALLENGES IN THE DESIGN OF COMPLEX SYSTEMS 2025

To encourage students to think about the future of engineering design and the intellectual foundations which are essential for the development of the field, NSF and ASME sponsor a student design essay competition. Winners receive $1,500 to attend the 2025 ASME Design Technical Conference (IDETC) which will be in Anaheim, California.

Note: This competition is funded by NSF.

The Competition – Story
You are a consultant working for a high tech, global manufacturing enterprise. That company wants to position itself to be a high-tech global design and manufacturing enterprise in the year 2040. As a consultant, you want the company to succeed both domestically and globally so you will need to:

  • Define the characteristics of a successful high-tech enterprise in the year 2040.

  • Identify the most important challenge this company will face in 2040 and focus your essay on this challenge. Propose a solution for this challenge. What needs to be done today to meet this challenge?

  • Based on critical analysis, identify issues worthy of investigation. Be sure to include tables and figures as necessary. We are especially interested in the scientific foundations for understanding the product realization process which are suitable for a global enterprise in 2040.

As AI tools including generative AI are available, we believe you must learn to use them to your advantage. This year you may use generative AI and other AI tools to frame your essay and then comment on your experience. Acknowledge the tools that you use in your essay. Please ensure that you are not using material verbatim for already published material – that is a clear case of plagiarism. Your comments should be included in a separate document and the references and should include which tool(s) you used, your queries and raw outputs and how these were modified and adapted. You will be evaluated for checking for hallucinations, thoughtful prompts and meaningful modifications of raw outputs. There is no page limit to the discussion of the use of AI.

Judging Criteria
Students are judged on scholarship, the depth and sophistication of their arguments, logical presentation of material, correct English usage, and relevance to problems facing the US industry, government, and research communities. There are separate categories for graduate and undergraduate students.

Awards and Responsibilities
An award to cover expenses to attend the conference will be made to the winners of this competition up to $1,500 per team. The reimbursement will take place after the conference upon the receipt of an invoice that includes receipts to substantiate expenditures. A winner must present his/her findings at a poster session at IDETC in order to receive the reimbursement. Every winner will receive a certificate to record his/her accomplishment.

Submission Format and Dates
Any graduate or undergraduate student enrolled in a university anywhere in the world is eligible although the focus is on students enrolled in universities in the United States.

Multiple authors are limited to two people. The travel grant is shared between the co- authors. A student may receive no more than 2 awards over the years.

Essays should be a maximum of 10 pages long – this does not include the reference list. In addition, include an Appendix about your use of advanced AI tools and generative AI.

There are separate categories for submissions by graduate and undergraduate students. The research paper may be the outcome of a course for which the student receives academic credit.

Deadlines
Papers Due: May 15, 2025
Target Date for Notification of Winners: June 25, 2025
IDETC 2025: August 17-20, 2025

Please include a cover page with:
Email address, phone number and address for all authors, university aļ¬ƒliation including advisor's name and whether this submission is for the graduate or undergraduate category. NOTE: we will remove this page when sending the submission out for review, so this should be the only page on which your identifying information appears.

Submit Entries to both Professor Janet K. Allen, janet.allen@ou.edu, 404-403-3296 and Professor Farrokh Mistree, farrokh.mistree@ou.edu, 404-502-9086.

For more information see IDETCtravel.com.

About IDETC 2025
The 2025 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference will be held in Washington, D.C.

We gratefully acknowledge support from NSF Award 2345214. The opinions, findings, and conclusions or recommendations expressed in the submissions are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.