Siemens Digital Twin Course for Computer Science Students

🚀 Master Digital Twin Technologies with Siemens Academic Programs Step into the world of Industry 4.0 with an intensive, hands-on course focused on Digital Twin technologies. Designed for senior Computer Science and Mechatronics Engineering students, this program combines theory, simulation, and real-world case studies used in modern smart manufacturing and cyber-physical systems. From foundational concepts to full digital twin implementation, this course equips you with practical skills to design, simulate, and integrate intelligent digital-physical systems. What You’ll Learn: Digital twin foundations, history, and the five-dimensional lifecycle model Core technologies enabling smart and connected systems Digital twin–driven virtual verification, design evaluation, and commissioning Industrial applications and real-world case studies Languages and tools including ROS, FMI, and Siemens simulators Structured digital twin development using Innexis Virtual System Interconnect Research topics in immersive and collaborative digital twins Capstone Project: Build and deploy a digital twin on AWS Virtual Private Cloud (VPC) Who Should Apply? Fourth-year students in Computer Science or Mechatronics Engineering with: • A solid understanding of embedded systems • Proficiency in Python and C++ • Interest in smart systems, simulation, and Industry 4.0 technologies Course Details: Instructor: Dr. Mohamed Abd El Salam Duration: 3 weeks Format: Fully online Location: Egypt Application Deadline: 20 January 2026 Apply here: https://sie.ag/4DLcqN ⚠️ Seats are limited. Early registration is recommended. Why Enroll? Gain hands-on experience with digital twin tools and simulation platforms Learn technologies actively shaping smart manufacturing and Industry 4.0 Build a strong foundation for graduate research and advanced system design Join Siemens Academic Programs and take a decisive step toward the future of digital-physical system innovation. #SiemensAcademicPrograms #DigitalTwin #Industry40 #SmartManufacturing #Simulation #ROS #FMI #EmbeddedSystems #Mechatronics #ComputerScience #EngineeringEducation #FutureEngineers #AcademicPrograms

🚀 Master Digital Twin Technologies with Siemens Academic Programs Step into the world of Industry 4.0 with an intensive, hands-on course focused on Digital Twin technologies. Designed for senior Computer Science and Mechatronics Engineering students, this program combines theory, simulation, and real-world case studies used in modern smart manufacturing and cyber-physical systems. From foundational concepts to full digital twin implementation, this course equips you with practical skills to design, simulate, and integrate intelligent digital-physical systems. What You’ll Learn: Digital twin foundations, history, and the five-dimensional lifecycle model Core technologies enabling smart and connected systems Digital twin–driven virtual verification, design evaluation, and commissioning Industrial applications and real-world case studies Languages and tools including ROS, FMI, and Siemens simulators Structured digital twin development using Innexis Virtual System Interconnect Research topics in immersive and collaborative digital twins Capstone Project: Build and deploy a digital twin on AWS Virtual Private Cloud (VPC) Who Should Apply? Fourth-year students in Computer Science or Mechatronics Engineering with: • A solid understanding of embedded systems • Proficiency in Python and C++ • Interest in smart systems, simulation, and Industry 4.0 technologies Course Details: Instructor: Dr. Mohamed Abd El Salam Duration: 3 weeks Format: Fully online Location: Egypt Application Deadline: 20 January 2026 Apply here: https://sie.ag/4DLcqN ⚠️ Seats are limited. Early registration is recommended. Why Enroll? Gain hands-on experience with digital twin tools and simulation platforms Learn technologies actively shaping smart manufacturing and Industry 4.0 Build a strong foundation for graduate research and advanced system design Join Siemens Academic Programs and take a decisive step toward the future of digital-physical system innovation. #SiemensAcademicPrograms #DigitalTwin #Industry40 #SmartManufacturing #Simulation #ROS #FMI #EmbeddedSystems #Mechatronics #ComputerScience #EngineeringEducation #FutureEngineers #AcademicPrograms

🚀 Master Digital Twin Technologies with Siemens Academic Programs Step into the world of Industry 4.0 with an intensive, hands-on course focused on Digital Twin technologies. Designed for senior Computer Science and Mechatronics Engineering students, this program combines theory, simulation, and real-world case studies used in modern smart manufacturing and cyber-physical systems. From foundational concepts to full digital twin implementation, this course equips you with practical skills to design, simulate, and integrate intelligent digital-physical systems. What You’ll Learn: Digital twin foundations, history, and the five-dimensional lifecycle model Core technologies enabling smart and connected systems Digital twin–driven virtual verification, design evaluation, and commissioning Industrial applications and real-world case studies Languages and tools including ROS, FMI, and Siemens simulators Structured digital twin development using Innexis Virtual System Interconnect Research topics in immersive and collaborative digital twins Capstone Project: Build and deploy a digital twin on AWS Virtual Private Cloud (VPC) Who Should Apply? Fourth-year students in Computer Science or Mechatronics Engineering with: • A solid understanding of embedded systems • Proficiency in Python and C++ • Interest in smart systems, simulation, and Industry 4.0 technologies Course Details: Instructor: Dr. Mohamed Abd El Salam Duration: 3 weeks Format: Fully online Location: Egypt Application Deadline: 20 January 2026 Apply here: https://sie.ag/5miLH1 ⚠️ Seats are limited. Early registration is recommended. Why Enroll? Gain hands-on experience with digital twin tools and simulation platforms Learn technologies actively shaping smart manufacturing and Industry 4.0 Build a strong foundation for graduate research and advanced system design Join Siemens Academic Programs and take a decisive step toward the future of digital-physical system innovation. #SiemensAcademicPrograms #DigitalTwin #Industry40 #SmartManufacturing #Simulation #ROS #FMI #EmbeddedSystems #Mechatronics #ComputerScience #EngineeringEducation #FutureEngineers #AcademicPrograms

#researchpaper #researchers #article #online #submissionsopen #RegisterNow #Register #Papersubmission #opencall #event #applynow #free #CallForPapers #callforsubmissions #submission #Submit #SubmitYourPaper #submitnow #deadline #phdstudent #phdresearch #research #ResearchScholar Mechatronics and Applications: An International Journal (MECHATROJ) Webpage URL: https://lnkd.in/fkNw35p Scope & Topics Mechatronics and Applications: An International Journal (MECHATROJ) is a quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Mechatronics and Applications. The journal focuses on all technical and practical aspects of Mechatronics Engineering Research, applications and Implementation techniques. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding advances in mechanical design, computing, control systems, microprocessors, electronics and intelligent machines and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Mechatronics and applications. Topics of interest include, but are not limited to the following. Topics of interest include, but are not limited to, the following Automotive systems Autonomous systems Biomedical Engineering Control and Automation Design, Modeling and Simulation of Mechatronic systems Electrical Machines, Drives & Power Electronics Engineering and Automation Intelligent control Machine Design Manufacturing Engineering Measurement and Diagnostics Mechatronic Education Real-time Systems Robotics Signal Processing Paper Submission Authors are invited to submit papers for this journal through Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. Submission Deadline: January 12, 2026 Contact us: mechatrojjournal@airccse.com (or) mechatroj@aircconline.com (or) mechatrojjournal1821@gmail.com Submission URL: https://lnkd.in/fkX5-sA

Exploring Adaptive Filters & System Identification — My First Winter Project in Electrical Engineering This winter, I had the opportunity to dive into the world of adaptive filters and system identification, powerful tools widely used in signal processing, communication systems, audio engineering, biomedical devices, and control systems. These techniques enable systems to learn and adapt in real time, making them essential in applications like noise/echo cancellation, channel equalization, and predictive modeling. Under the guidance of Prof.Nithin George, our team — Me(Pushkar kamble), @Mayank chaudhari and Shivansh Kapur , worked on understanding the fundamentals and dynamics of adaptive filters, with a focus on the LMS (Least Mean Squares) algorithm. Prof.Nithin George shared a research paper with us that introduced concepts such as: 1.Adaptive filters & echo cancellation 2.System identification 3.Recursive Least Squares (RLS) Regularization 4.Third-order tensor decomposition 5.Nearest Kronecker product While the paper covered advanced techniques, our project mainly focused on building a strong foundation on understanding what filters are, how they are developed, and how adaptive filters update themselves over time. 📌 What we did Built intuition for adaptive filter frameworks Developed simulations to perform system identification Implemented code to test how filters adapt over iterations Analyzed how the LMS algorithm updates filter weights Observed how the error between desired and predicted output decreases over time (shown in the simulation result below) Our results showed that LMS is highly effective for adaptive system identification, offering simplicity, stability, and good convergence behavior. This was our first hands-on project in electrical engineering, and it has strengthened our interest in signal processing and intelligent systems. Grateful for the learning, mentorship, and teamwork throughout this journey. Excited to explore more in this domain! Below is the image of the simulation of an adaptive filter which we have created. #AdaptiveFilters #SystemIdentification #LMSAlgorithm #SignalProcessing #ElectricalEngineering #LearningJourney #Research #TeamWork

Soft Sensors Final Year Projects – Virtual Sensing Solutions: Explore projects that estimate physical values using data models instead of hardware sensors. Learn process monitoring, prediction, and industrial automation concepts. Best for engineering and applied science students. https://lnkd.in/g9ZhKeGP #FinalYearProjects #SoftSensors #IndustrialAutomation #DataModeling #StudentProjects #BTechProjects #MTechProjects #ControlSystems #TechProjects #AcademicProjects

𝗪𝗵𝗮𝘁 𝗶𝘀 𝗠𝗲𝗰𝗵𝗮𝘁𝗿𝗼𝗻𝗶𝗰𝘀—𝗮𝗻𝗱 𝘄𝗵𝘆 𝗱𝗼𝗲𝘀 𝗶𝘁 𝗺𝗮𝘁𝘁𝗲𝗿? Mechatronics is the fusion of mechanical engineering, electrical engineering, and control systems—creating intelligent machines and smart production processes. It’s the crucial next step after mastering fluid power and automation, and the essential bridge towards Industry 4.0 technologies like IIoT, smart sensors, and AI-driven systems. At Didactic Services Ltd, our 𝗗𝗦𝗟 𝟮𝟬𝟮, 𝗦𝗸𝗶𝗹𝗹𝘀 𝗖𝗼𝗻𝘃𝗲𝘆𝗼𝗿, and 𝗠𝗼𝗱𝘂𝗹𝗮𝗿 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 are purpose-built to support this transition, offering hands-on training tools that build a solid foundation in real-world mechatronics applications. 💡 𝗪𝗵𝘆 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿 𝗳𝗼𝗿 𝗹𝗲𝗮𝗿𝗻𝗲𝗿𝘀? Because gaining skills in mechatronics doesn’t just boost technical know-how, it massively enhances employability. As industries evolve, employers are actively seeking individuals who understand integrated systems and can work across disciplines. Mechatronics-trained individuals stand out. 🚀 Whether you’re upgrading your curriculum or upskilling your workforce, we provide the stepping stones for the future of industrial automation. 👀 This is just the beginning. Keep an eye out over the next two weeks as we spotlight how our mechatronics range can transform your training approach. #Mechatronics #TechnicalEducation #EmployabilitySkills #Industry40 #AutomationTraining #STEMCareers #DidacticServicesLtd

From Transistors to Robots: A Deep Dive into Electronic Engineering. Electronic Engineering is a dynamic field focused on the design, development, testing, and application of electronic circuits, devices, and systems. This fascinating field ranges from tiny transistors to complex, revolutionary products—such as self-driving vehicles, humanoid robots, smart cities, battery management systems, biomedical devices, and satellites. It often combines core electrical concepts with other engineering disciplines to create the technology we rely on every day. In short, it is a major player in shaping the big picture of our modern world. To understand the scope of the industry, here are some of the primary sub-fields of electronic engineering: ● Analog & Digital Electronics: Dealing with continuous signals, amplifiers, and linear circuits (Analog) versus discrete signals, logic gates, and digital systems (Digital). ● Power Electronics: Managing the efficient conversion and control of electrical power. ● Embedded Systems: Integrating hardware and software to perform specialized, dedicated tasks. ● Microelectronics: The design and manufacturing of integrated circuits (ICs) and microchips. ● Signal Processing: Analyzing, modifying, and synthesizing signals (spanning audio, video, and data). ● Telecommunications: Focusing on wireless communication andnetworking. ● Robotics: Combining electronics, mechanics, software, and control theory to build automated systems. Mathematics is the true language of this field. To succeed, electronic engineers need a strong foundation in mathematics, physics, and statistics: ● Mathematics: Calculus, linear algebra, and differential equations. ● Physics: Electromagnetism, quantum mechanics, thermodynamics, and fluid mechanics. ● Statistics & Probability: Essential for analyzing sensor data and training AI models. There are many more core subjects, focus areas, and practical skills required for the field, which you can see detailed in the attached mind map. Personally, this is my favorite engineering category. In the upcoming blogs, we will take a deep dive into electronics, starting with a closer look at Embedded Systems in the next post. — Avishka Dilshan ProjectElectron | BluePrint 003 #Electrical #Electronic #Engineering #STEM #DailyLearning

One-Day Workshop on Industrial Applications of LabVIEW The Department of Electrical & Electronics Engineering, Shri Ramswaroop Memorial University (SRMU) successfully organized a One-Day Workshop on “Industrial Applications of LabVIEW” on 19th December 2025 at the Virtual Instrumentation Lab (B5-104). The workshop was conducted by Er. Aniruddha K. Gautam, Co-Founder & Director, ENGGIMATRIX Solutions, a leading automation company specializing in LabVIEW-based software solutions, Industrial Automation, Data Acquisition & Logging, and Test & Measurement. Key Highlights of the Workshop: ·        Fundamentals of LabVIEW Programming ·        Exposure to real-world industrial applications ·        Insightful interaction with an industry expert ·        Hands-on learning approach The session was highly beneficial for faculty members from Engineering, Biotechnology, and Pharmacy, enhancing their practical understanding of LabVIEW and its industrial relevance. The event was organized under the guidance of the university leadership and concluded with the distribution of Certificates of Participation to all attendees. Such initiatives reflect SRMU’s continued commitment to industry–academia collaboration and skill-oriented learning. The department sincerely expresses its gratitude to Shri Pankaj Agarwal (Hon’ble Chancellor), Smt. Pooja Agarwal (Hon’ble Pro Chancellor), and Dr. Vijay Tiwari (Hon’ble Vice Chancellor) for their constant guidance, encouragement, and support in making this event successful. #DEEE #LabVIEW #IndustrialApplications #FacultyDevelopment #HandsOnLearning #Automation #ENGGIMATRIX #SRMU #EngineeringEducation #SkillDevelopment Abhishek Kumar Saxena Dr. Alkesh Agrawal Dr. Sandeep Ojha Dr. Shubham Mishra Shivani Singh Dr. Mritunjay Rai Dr. Jay Pandey Dr. Vijay Laxmi Mishra Er. Sandeep Dixit Sandeep Tiwari Dr. Akhilesh Kumar Gupta Abhishek Verma

Special Thanks to Piotr Demidowicz, Piotr Fiszer, Saad Ahmed from Texas Instruments and the team from FORVIA HELLA for all the support provided in bringing this project to life. The two-phase interleaved buck–boost DC–DC converter was developed as an educational and experimental platform intended to support hands-on learning and in-depth investigation of modern power electronics and digital control systems. The platform enables the study and practical implementation of the following key topics: 1. Analog sensing and digital data acquisition - Voltage sensing and measurement techniques - Current sensing and measurement techniques - Power and efficiency evaluation - Temperature sensing and monitoring 2. Step Up / Step Down DCDC Convertor transfer function behavior in dependancy of: - Duty cycle - Switching Frequency - Dead time (deadband) - Interleaving phase shift 3. Plant identification and frequency response analysis - Frequency response measurement using a Vector Network Analyzer (VNA) - Digital Signal Processing (DSP)-based frequency response analysis, including C2000 Software Frequency Response Analyzer (SFRA) techniques 4. Digital control loop design and validation a. Classic control strategies - Constant voltage regulation - Constant Current regulation - Constant Power control b. Advanced control techniques - Adaptive Control methods - Predictive Control methods 5. Hardware-in-the-Loop (HIL) and Model-Based Design using MathWorks - System modeling and simulation using MATLAB - Control design, verification, and implementation using Simulink This educational platform will offer students of Universitatea Politehnica din Timişoara a comprehensive environment for experimental learning and research in the areas of power electronics, data acquisition systems, digital signal processing, and closed-loop control theory. #DCDC #DSP #C2000 #DigitalControl https://lnkd.in/dV_XbNN5