Design of Autonomous Manipulator using MATLAB and Simulink
Speaker: Ronal George Application Engineer at MathWorks
Wednesday, April 5, 2023 11 am -12 pm PST
Zoom Link
Meeting ID: 848 0245 7883
Passcode: 2023
Synopsis: Developing manipulators, humanoids, and other autonomous robotics applications involves a range of subsystems such as perception, motion planning, and controls. MATLAB and Simulink provide algorithms and tools for robotics and autonomous systems to design, simulate, test, and deploy autonomous algorithms in a single development environment. In this seminar, you will learn how to design and develop an end-to-end workflow for an autonomous Manipulator (Robot Arm) Applications. Through several examples, we will cover: • Using a rigid body tree model to represent a robot structure • Low-fidelity joint-space and task-space motion models • Modelling the kinematics and dynamics of manipulators • Trajectory Generation for shape tracing and pick-and-place workflows.
Robot Behavior Adaptation for Personalized Longitudinal Interaction
Alyssa Kubota, Ph.D. Candidate, Department of Computer Science and Engineering, University of California San Diego
Thursday March 9, 2023 1:00-1:50 PM
HH803
Speaker Bio: Alyssa Kubota is a final-year Ph.D. student in Computer Science and Engineering at UC San Diego. Her research interests are at the intersection of robotics, artificial intelligence, and pervasive health. She works on developing embodied AI systems that enable robots to longitudinally and autonomously learn and adapt to people in real world environments. She has been awarded two Best Paper Award Honorable Mentions for her work at the HRI and CSCW conferences, and an exceptional teaching award at UCSD. Prior to the Ph.D., she studied Computer Science as an undergraduate at Harvey Mudd.
For more information, please contact Dr. Xiaorong Zhang, xrzhang@sfsu.edu
Energy-Efficient AI/Machine-Learning-Based Hardware Architectures for Biomedical Applications
Omiya Hassan, Ph.D. Candidate, Department of Electrical Engineering and Computer Science, University of Missouri, Columbia
Wednesday March 8, 2023 1:00-1:50 PM
HH803
Speaker Bio: Omiya Hassan is currently working as a graduate instructor and a Ph.D. candidate. in the Department of Electrical Engineering and Computer Science (EECS) at the University of Missouri. She received her Bachelor of Science degree in Electrical and Electronics Engineering (EEE) in 2017 from United International University, Bangladesh. She served as a lecturer at Presidency University, Bangladesh, in the Department of Electrical and Computer Engineering (ECE) in 2018. Her current research topic focuses on designing energy-efficient machine-learning (ML) model-based integrated circuits (IC) for biomedical applications. Her research interest includes Integrated Circuit Design, VLSI, Embedded Computing Systems, Biomedical Instrumentation, and Domain-Specific Hardware Architecture Design. Ms. Hassan received the IEEE Instrumentation and Measurement Society’s Graduate Research Fellowship Award in 2021, achieved the Outstanding Doctoral Student Award of 2021 from the Department of EECS at the University of Missouri, received the prestigious Research in Excellence from The Graduate Professionals Council at the University of Missouri and was awarded the University of Missouri’s Outstanding Undergraduate Research Mentor of the year 2022 for her teaching and mentorship. She is a fellow 2022 Rising Star of Electrical Engineering and Computer Science (EECS). Besides research and education, Ms. Hassan is a trained vocalist in South Asian Tagore Music and loves to indulge herself in Nature, Art, and Music.
For more information, please contact Dr. Xiaorong Zhang, xrzhang@sfsu.edu
Navigating Uncertainty in Safety-Critical Cyber-Physical Systems: From Optimization to Planning to Perception
Dr. Siavash Farzan, Assistant Teaching Professor, Robotics Engineering Department, Worcester Polytechnic Institute
Monday, March 6, 2023 1:00-1:50 PM
HH803
Speaker Bio: Siavash Farzan is an Assistant Teaching Professor in the Robotics Engineering Department at Worcester Polytechnic Institute. Farzan received his Ph.D. in Robotics from the Georgia Institute of Technology in 2021. His research focuses on safety-critical motion planning and control of cyber-physical systems to operate in unstructured and dynamic real-world settings. Farzan has several years of experience in industry as an Embedded Systems Engineer, which informs his research and teaching. He has an interest in innovative instructional technologies, and has co-developed the first lab-based online Mechatronics course (hosted on edX), which brings hands-on engineering education to anyone around the world who wants to learn.
For more information, please contact Dr. Xiaorong Zhang, xrzhang@sfsu.edu
Energy Efficiency for Industrial Decarbonization
Speaker: Dr. Ethan Languri, Associate Professor, Tennessee Tech University
Friday Mar. 3, 2023 1:00-1:50 PM
HH803
Abstract: The U.S. Department of Energy's Industrial Decarbonization Roadmap, published in September 2022, identifies energy efficiency as one of the four pillars of decarbonizing the manufacturing industry. Improving industrial energy efficiency not only reduces energy costs and usage for manufacturers, but also decreases greenhouse gas emissions and increases plant resiliency. In this seminar, Dr. Languri will delve into the details of several energy efficiency projects that he has led as the principal investigator. One such project involves the efficient cooling of transformers, which are critical components in the power industry, used in transmission and distribution systems for voltage-changing devices. Transformers generate heat that requires management to increase their lifetime and reduce maintenance costs. Efficient transformer cooling is an essential factor in this regard. It has been reported that the lifetime of transformers can increase by 10% with just a 1°C decrease in core temperature. However, traditional transformer oil, typically a mineral oil, has low thermal conductivity which limits heat transfer from the core of the transformer to the surroundings. To address this issue, the seminar will discuss the use of functionalized nanodiamond particles to enhance the heat transfer rate of transformer oil, leading to a remarkable 82.5% improvement in natural convection heat transfer with only 0.4% weight functionalized nanodiamonds added to the baseline fluid. The study examines the transformational growth in heat transfer rate achieved by functionalizing 5 nm-size diamond particles to transformer oil's molecules
Model-Based Design: Simulation to Real World
Speaker: Terry Denery, Ph.D., Principal Application Engineer at MathWorks
Wednesday, March 1, 2023 11 am -12 pm
HHS Building 362
Synopsis: Model-Based Design with MATLAB/Simulink provides a mathematical and visual approach to develop complex systems. It provides a common language for cross-functional teams that work in mechanics, electronics, controls, software, etc. The teams develop models of motors & drives, mechanical linkages, electronics boards, algorithms, and various other components. It is in the Simulink system models that components are brought together, and interfaces and requirements are defined. Through the simulation in Simulink, system dynamics are understood, and component design iterations advance rapidly. Session Details: 1. Simulating Mechatronics Systems 2. Developing Controls 3. Generating Software for Arduino from Simulink Models 4. Test Control on Arduino Please bring your great questions – we are looking forward to an interactive session!
Advancing Clean Energy and Understanding Climate Change through the Study of Phase Changing Solid-Liquid Flows
Speaker Dr. Kedar Shete, PhD, Mechanical Engineering, UMass Amherst
Tuesday, Feb. 28, 2023, 1:00pm-1:50pm
HH803 (Hensill Hall)
Speaker Bio: Dr. Kedar Shete is a recent graduate from the University of Massachusetts Amherst in Mechanical Engineering. He was awarded the Industrial Assessment Center (IAC) Award for Excellence in Applied Energy Engineering Research 2020. He is currently a Co-PI on a supercomputing grant with National Renewable Energy Laboratory (22.8 million core hours) and Principal Investigator on a supercomputing grant at Argonne Leadership Computing Facility (ALCF, 1.2 million core hours), both awarded for the study of phase changing flows. He served as lead student of the UMass IAC from Sep 2017 to Dec 2022. Prior to that, he has conducted research related to the design of air-cooled heat exchangers, and fluidized bed risers. His current interests are phase changing solid-liquid flows, experimental studies of LDES and direct numerical simulations. Kedar is a member of American Physical Society, Division of Fluid Dynamics and a member-at-large of the Topical Group on Energy Research and Applications (GERA). He is a reviewer for Journal of Energy Storage.
Machine Intelligence of Ubiquitous Computing in the Internet of Things
Speaker Fei Dou Ph.D. Candidate, Department of Computer Science and Engineering, University of Connecticut
Monday, Feb. 27, 2023, 1:00pm-1:50pm
HH803 (Hensill Hall)
Speaker Bio: Fei Dou is a final-year Ph.D. candidate in the Department of Computer Science and Engineering at the University of Connecticut, under the supervision of Prof. Jinbo Bi. Her research centers on exploring how AI/ML can improve the efficiency, privacy, and scalability of the IoT. Specifically, Fei is mainly working on Indoor Location-based Services (ILBS), Edge Computing, and Remote Sensing Imagery Analysis by developing new methods from the perspectives of Reinforcement Learning, Federated Learning, and Contrastive Learning. Fei’s work has been published in highlyselective and high-impact journals such as IEEE IOT-J, and she has served as a reviewer at top-notch conferences and journals including ICLR, AAAI, IJCAI, Sensors, etc. More information can be found on her webpage https://fayedou.github.io/.
Multi-Temperature, Multi-Module Latent Thermal Storage Ensembles with Artificial Neural Network Control
Speaker Dr. Alanna Cooney, PhD Mechanical Engineering, UC Berleley
Friday, Feb. 24, 2023, 3:30pm-4:20pm
HH803 (Hensill Hall)
Speaker Bio: Dr. Alanna Cooney is a recent PhD graduate from the University of California, Berkeley. She previously received her MS from Marquette University in 2018 and BS from Washington University in St. Louis in 2012. From 2012 to 2016, Dr. Cooney worked as a mechanical engineer designing HVAC systems for data centers, electronic trading firms, and financial institutions. She received a Certificate of Teaching and Learning in Higher Education at UC Berkeley and has taught courses on Thermodynamics and Experimentation and Measurements. Her research interests include thermal energy storage, phase change heat transfer, machine learning, exergy analyses, and HVAC electrification and decarbonization. She has received multiple awards including the Art Rosenfeld Award for Energy Efficiency, an ARCS Foundation Fellowship, and the Outstanding Graduate Student Instructor Award
Performance Enhancement of Energy Storage Based Solar Thermal Systems: A Multi-Pronged Solution
Speaker Dr. Sarvenaz Sobhansarbandi Assistant Professor in Mechanical Engineering, University of Missouri – Kansas City (UMKC)
Tuesday Feb. 14, 2023 1:00-1:50 PM
HH803 (Hensill Hall)
Speaker Bio: Dr. Sarvenaz Sobhansarbandi is an assistant professor of mechanical engineering and director of Advanced Renewable/Thermal Energy (ART-E) laboratory at University of Missouri – Kansas City (UMKC). Dr. Sobhansarbandi received her Ph.D. in Mechanical Engineering from the University of Texas at Dallas in May 2017. Her research work is in the area of thermal and fluid sciences, with the focus on solar thermal technologies and energy storage systems. Her other focused research area is the design/optimization of thermal management systems (TMS) for high power applications. Dr. Sobhansarbandi has gained several years of research experience in the broad area of Thermo-Fluids including: (a) computational fluid dynamics/hybrid numerical modeling, and experimental analysis of solar water heating (SWH) technology; and (b) design/development of energy storage units by utilization of thermal energy storage composites and/or batteries.