INDIA
13 July 2023 | Bangalore
18 July 2023 | Hyderabad
MATLAB EXPO India brought together engineers, educators, researchers, and scientists to hear real-world examples, see hands-on demonstrations, and learn more about the latest features and capabilities in MATLAB and Simulink.
Featured Speakers
Sunil Motwani, MathWorks
Dr. Arun Mulpur, MathWorks
Vadiraj Krishnamurthy, Bosch Global Software Technologies
R VIjayalayan, MathWorks
Moderator: Prashant Rao, MathWorks
Moderator: Dr. Lakshminarayan Viju Ravichandran, MathWorks
Venue
Radisson Blu Outer Ring Road
90-4, Outer Ring Rd, Marathahalli,
Bengaluru, Karnataka 560037
Exhibitors
What You Missed
Master Classes
Attendees engaged in master classes delivered by senior MathWorks engineers covering AI, wireless communications, automotive, and electrification.
Customer Examples
Participants heard about real-world applications from leading MathWorks customers.
Networking and Customer Interactions
Attendees met with MATLAB and Simulink users, MathWorks technical engineers, and product developers.
Consulting Booth
Participants learned how MathWorks Consulting Services can help accelerate adoption of MATLAB and Simulink in projects and provide tool customization on top of shipping capabilities.
Registration and Welcome
Welcome Note and Introductions
Sunil Motwani
Sunil Motwani is a country manager, sales and services, at MathWorks India. He has been at MathWorks since 2008, from the time it started operations in India. He has more than 30 years of experience in sales of technology products for various industry segments in India including automotive, aerospace and defense, communications, semiconductors, medical devices, and industrial automation. Sunil has a bachelor’s degree in electronics engineering from Visvesvaraya National Institute of Technology (VNIT), Nagpur, and a postgraduate diploma in software technology from National Centre of Software Technology (NCST), Mumbai.
LinkedIn Profile
Keynote: Moonshots: How Engineers and Scientists Are Achieving the Impossible
Moonshots—projects with lofty and seemingly impossible goals—are the engines that drive innovation, increase human knowledge, and improve our standard of living. Over 50 years ago, NASA's Apollo program landed the first people on the moon, accomplishing a literal moonshot and fostering emerging technologies that are now ubiquitous, such as integrated circuits, photovoltaic cells, and digital image processing. Today, engineers and scientists are aiming to generate unlimited clean energy, create advanced medical devices to save and improve lives, travel to Mars, and explore the universe. In this talk, learn about some of these visionary projects, the role MATLAB® and Simulink® played in helping engineers and scientists achieve their goals, and how you can apply these same tools and techniques to your own "moonshots."
Dr. Arun Mulpur
Arun Mulpur is a senior industry group manager at MathWorks. He has worked in the areas of design automation and algorithm and system design for over 28 years, including 21 years at MathWorks. His team works with companies in the communications, electronics, semiconductors, software and internet, energy production, medical devices, and robotics industries. They focus on enabling customer engineering teams in the development of new technologies and products and improving engineering workflows for algorithm development, system design, simulation, prototyping, and implementation. Arun holds a B.E. degree in electrical engineering from Osmania University, where he was awarded the Khateeb Mahmood Hussain Gold Medal. He also holds M.S. and Ph.D. degrees in electrical engineering and an M.B.A. from the University of Massachusetts.
LinkedIn Profile
Customer Keynote: Software-Defined Vehicles
Vadiraj Krishnamurthy
Vadiraj Krishnamurthy heads technology and innovation as CTO of Bosch Global Software Technologies. He has 25 years of experience at Bosch Group in various product engineering roles. Vadiraj has rich experience in software and system engineering and powertrain and vehicle dynamics control systems. He is a certified product engineering coach and an expert in the Design Review Based on Failure Mode (DRBFM) method. Vadiraj holds an engineering degree in electronics and communication from RV College of Engineering, Bangalore.
What’s New in MATLAB and Simulink R2023a
Learn about new capabilities in MATLAB® and Simulink®. This talk highlights new tools such as interactive apps, Live Editor tasks, and high-level functions for completing tasks in MATLAB with little to no coding; and new features in Simulink for defining input signals, managing design variants, and debugging simulations. See new capabilities for building and testing your code and models, using Python® with both MATLAB and Simulink, and integrating with other tools and environments, including Jupyter®, VS Code, and Unreal®.
Vijayalayan R
Vijayalayan R heads automotive industry and location field application engineering at MathWorks India. He and his team facilitate the adoption of Model-Based Design, empowering customers to embrace next-generation technologies on their journey towards electrification, AI, and software-defined vehicle projects. Vijayalayan is part of the management committee of the SAE India Bangalore section and has 23 years of industry experience. Prior to joining MathWorks, he worked in embedded systems leadership at Cranes Software International Limited and as a Scientist B at the Gas Turbine Research Establishment. Vijayalayan holds a bachelor's degree from Manonmaniam Sundaranar University and a master's degree in control and instrumentation from IIT Madras.
LinkedIn Profile
Tea Break, Technology Showcase* and Networking
Ramanuja Jagannathan, MathWorks
Kishore Siddani, MathWorks
Ramanuja Jagannathan, MathWorks
Kishore Siddani, MathWorks
Master Class: Developing Electrified Propulsion Systems for a Sustainable Future
Electrified propulsion systems are essential for achieving a sustainable future in transportation. As global demand for electricity continues to increase, efficient and sustainable methods are needed to generate, store, and consume this energy.
Batteries, motors, and power electronics are the fundamental building blocks of such systems, and simulation studies can play an important role in accelerating their design and development. In this master class, learn how to create a battery cell model and scale it to a pack or module within minutes. Additional topics include motor and power electronics converter modeling techniques and design control algorithms to regulate their speed, torque, and other performance characteristics.
The concepts and workflows presented in this session can be applied to grid-scaled energy storage and industrial motor drives as well. The examples highlight the Model-Based Design approach, which can be a powerful enabler to test what-if scenarios and bring in efficiency in development.
Rahul Choudhary
Rahul Choudhary is a principal application engineer at MathWorks India, specializing in system modeling and control design. He has over 12 years of experience in power electronics control, motor control, multidomain modeling, and real-time simulation. Before joining MathWorks, Rahul worked as a control engineer at Eaton India Engineering Centre, where he was involved in developing prognostics and health monitoring algorithms for proof-of-concept projects for their electrical products.
He holds a master’s degree in systems and control engineering from Indian Institute of Technology Bombay, Mumbai, and a bachelor’s degree in electronics and instrumentation engineering from Institute of Engineering and Technology, Lucknow, India.
Ramanuja Jagannathan
Ramanuja Jagannathan is a senior application engineer at MathWorks India working on modeling, simulation, control design, and simulation deployment for mechatronics applications. He has experience working in customer projects involving mechatronic machine design, robotic manipulators, reinforcement learning–based controllers, and digital twin deployment. Before joining MathWorks, he was a senior engineer at Larsen and Toubro working in project planning and control of railway projects. Ramanuja’s academic background is in process control, and he completed a master’s program at National Institute of Technology, Tiruchirappalli, India.
LinkedIn Profile
Master Class: FPGA-Based Implementation of Beamforming Algorithms for Radar and Wireless Systems
Beamforming is widely used in radar, sonar, medical imaging, and audio applications to focus transmitted signals from a sensor array in a specific direction. Conventional beamformers have fixed weights while adaptive beamformers have weights that respond to the environment. In this session, see how you can model and simulate beamforming algorithms, and how to automatically generate optimal HDL code from the model and verify it for implementation on an FPGA.
Sumit Garg
Sumit Garg is a senior application engineer at MathWorks India specializing in design analysis and implementation of radar signal processing and data processing applications. He works closely with customers in areas of radar, phased array, and sensor fusion. He has around 12 years of industrial experience in the development of hardware and software applications in the radar domain.
Kishore Siddani
Kishore Siddani is an application engineer at MathWorks. He works closely with customers to help them adopt Model-Based Design to accelerate the design and deployment of applications including communications, radar, controls, and deep learning. He has nine years of industry experience working on implementation of applications targeting the Xilinx® Zynq® platform and other SoC devices. Prior to joining MathWorks, Kishore worked for Huawei Technologies, handling telecom clients internationally in around seven countries. He was also an engineer at Uurmi Solutions, where he was involved in the design and development of custom OFDM-based communication systems for defense applications.
LinkedIn Profile
Prashant Rao, MathWorks
Prashant Rao, MathWorks
Panel Discussion 1: Implementing AI in Engineering: Reliability, Explainability, and Accuracy
Artificial intelligence (AI) has emerged as a transformative technology intended to revolutionize various industries. This panel discussion focuses on the use of AI in engineering and technology, particularly on how engineers and scientists use AI in their research and development (R&D) workflows, and how they are implementing AI-based systems in real-world applications including robotics, wireless communications, autonomous vehicles, aviation, healthcare, automation, manufacturing, and electrification.
The panel consists of experts from diverse engineering fields who have hands-on experience in AI implementation. The discussion covers topics such as responsible and ethical implementation of AI, AI reliability, explainability, accuracy, deployment, verification and certification, and the use of generative AI in engineering and its implications.
Moderator
Prashant Rao
Prashant Rao heads the Application Engineering team at MathWorks India. He and his team focus on helping customers across industry verticals and application domains to accelerate and reduce risk in their development processes through the usage of MATLAB and Simulink products. He has a wide exposure with customers ranging from large enterprises to startups spanning commercial, government, and educational organizations. Prashant is a regular contributor at industry forums, sharing his views around megatrends in technology and especially how artificial intelligence (AI) is enabling engineers and scientists to build smarter systems.
LinkedIn Profile
Lunch and Technology Showcase*
Dr. Lakshminarayan Viju Ravichandran, MathWorks
Dr. Lakshminarayan Viju Ravichandran, MathWorks
Panel Discussion 2: Enabling Engineers and Scientists to Tackle Climate Change
The climate crisis is here, and it is impacting people around the world. We cannot leave addressing climate change just to the climate scientists. There is a broad array of possible solutions for reducing greenhouse gas emissions, and most of these are interdisciplinary in nature. Hence, every scientist and engineer has a role to play via fundamental and applied research.
“Electrification of everything” is a key megatrend addressing climate crisis. It cuts across not only transportation, but also defense, healthcare, and energy. One of the key areas where business leaders are focusing as they maneuver through this megatrend is training their workforce with system engineering skills—with academia acting as a feeder into industry with the right curriculum and projects.
In this panel discussion, industry experts, policy makers, and academicians will deliberate on the directions that Indian industry and academia should take to empower engineers and contribute effectively toward tackling climate change.
Moderator
Dr. Lakshminarayan Viju Ravichandran
Dr. Lakshminarayan Viju Ravichandran leads the education technical evangelist team at MathWorks India, focusing on the application of MATLAB and Simulink in curriculum development and research. His interests lie in finding synergies between industry and academia. He has over 7 years of experience in academic research and 10 years in the industry. Prior to joining MathWorks, Viju worked as a research associate at Arizona State University, where he obtained his master’s and Ph.D. degrees in electrical engineering. He was involved in the development and design of signal processing algorithms, analysis of biological data, and architectural implementation of signal processing algorithms. As a postdoctoral fellow at Emory University, he worked at the Department of Radiology and Imaging Sciences developing algorithms in image processing for medical data.
LinkedIn Profile
Gaurav Ahuja, MathWorks
Dr. Rishu Gupta, MathWorks
Peeyush Pankaj, MathWorks
Gaurav Ahuja, MathWorks
Dr. Rishu Gupta, MathWorks
Peeyush Pankaj, MathWorks
Master Class: Developing Safe and Secure Embedded Software from Desktop to Cloud Using Model-Based Design
Model-Based Design is a popular approach for developing embedded software in accordance with functional safety standards such as IEC 61508, ISO 26262, and IEC 62304. However, matching safety objectives with operational constraints can pose significant challenges for engineers, project managers, and quality assurance managers. In this master class, MathWorks engineers will showcase the reference workflow for Model-Based Design for development safety applications. The master class will also discuss how to effectively integrate the reference workflow into a continuous integration (CI) and continuous delivery (CD) pipeline that automates software development lifecycle tasks. By the end of this master class, attendees will have a better understanding of how to:
- Use Model-Based Design for developing embedded software in accordance with functional safety standards.
- Ensure MISRA compliance for generated and handwritten code
- Set up and deploy a Model-Based Design workflow in a CI/CD pipeline.
- Bonus Takeaway: Using Model-Based Development for Service-Oriented Architectures for Software Defined Vehicles
Rajat Arora
Rajat Arora is an automotive industry application engineer at MathWorks with a focus on verification and validation and code generation products. He has accumulated more than a decade of experience working in both the automotive and software industries. Before joining MathWorks, he worked at Magneti Marelli and Robert Bosch, where he led teams of engineers responsible for developing software for engine control, safety, and transmission systems. Rajat holds an M.B.A. from the Indian School of Business, Hyderabad, and a bachelor’s degree in electronics and communication engineering from Maharshi Dayanand University in Delhi/NCR.
LinkedIn Profile
Gaurav Ahuja
Gaurav Ahuja is an experienced application engineer at MathWorks India, where he has been helping customers successfully adopt MATLAB and Simulink for over seven years. He focuses on assisting customers to develop safety-critical systems across all industries and adhere to their industry-specific safety standards. Gaurav has worked with customers in a variety of industries, including automotive, aerospace, railways, medical devices, industrial automation, and consumer electronics. He is skilled in model verification and validation, auto C code generation and certification, and is always eager to tackle new technical challenges. Gaurav holds a master's degree in embedded systems from BITS Pilani.
Master Class: Driving into the Future: AI-Enabled Autonomous Systems
Artificial intelligence (AI) is increasingly being used in autonomous systems to enhance their performance, efficiency, and safety. AI algorithms such as deep learning, reinforcement learning, and machine learning are commonly used to develop AI-enabled autonomous systems. These algorithms allow the system to learn from data and improve its performance over time. High resolution sensors such as camera, lidar, and radar provide a wealth of data that feed perception algorithms and enable new ways of understanding the surrounding environment. Perception and navigation subsystems leverage deep learning and machine learning for a variety of applications such as object detection and target classification, estimating occupancy map for navigation, acceleration motion planning, and more. Control leverage reinforcement learning develops controllers for vehicle actuation in a complex environment.
In this master class, learn how MATLAB® and Simulink® enable engineers and scientists working on autonomous systems (UAVs, UGVs) to build and leverage artificial intelligence in their workflows while working on perception, navigation, and controls.
Highlights:
- Handling data (scarcity, annotation, large data, preprocessing)
- Developing and hyperparameter tuning of AI models
- Formally verifying the robustness properties of AI models
Use cases:
- Acceleration of motion planning using deep learning
- Development of a hybrid controller for an automated parking valet
Jayanth Balaji Avanashilingam
Jayanth Balaji Avanashilingam works as a senior application engineer at MathWorks in the area of artificial intelligence. He primarily focuses on areas of data analytics applications involving time-series data. Jayanth has eight years of research and industrial experience, and has worked on developing AI, machine learning, and deep learning solutions for retail optimization, computer vision, natural language processing, and other application areas. Prior to joining MathWorks, Jayanth worked as a senior AI engineer at Impact Analytics, Bangalore.
Dr. Rishu Gupta
Rishu Gupta is a principal application engineer at MathWorks India. He primarily focuses on automated driving and artificial intelligence applications. Rishu has over nine years of experience working on applications related to visual contents. He previously worked as a scientist at LG Soft India in the Research and Development unit. Rishu holds a bachelor’s degree in electronics and communication engineering from BIET Jhansi; a master’s in visual contents from Dongseo University, South Korea, working on the application of computer vision; and a Ph.D. in electrical engineering from University Technology Petronas, Malaysia.
Peeyush Pankaj
Peeyush Pankaj is a principal application engineer at MathWorks, where he has been promoting MATLAB products for data science. He works closely with customers in the areas of predictive maintenance, digital twin, enterprise integration, and big data. Peeyush has over 12 years of industry experience with a strong background in aviation. Prior to joining MathWorks, he has extensively worked on aircraft engine designs, testing, and certification. He has filed 25 patents on advanced jet engine technologies and prognostic health monitoring of aircraft engines. Peeyush holds a master’s degree in advanced mechanical engineering from the University of Sussex, UK.
Tea Break, Technology Showcase* and Networking
*Technology Showcase will be running throughout the day.
Featured Speakers
Sunil Motwani, MathWorks
Dr. Arun Mulpur, MathWorks
Dr. C.V. Jawahar, IIIT Hyderabad
R Vijayalayan, MathWorks
Moderator: Prashant Rao, MathWorks
Moderator: Dr. Lakshminarayan Viju Ravichandran, MathWorks
Venue
Hyderabad International Convention Centre
Novotel & HICC Complex (Near HITEC City)
P.O Bag 1101, Cyberabad Post Office
Hyderabad – 500081
Exhibitors
What You Missed
Master Classes
Attendees engaged in master classes delivered by senior MathWorks engineers covering AI, wireless communications, automotive, and electrification.
Customer Examples
Participants heard about real-world applications from leading MathWorks customers.
Networking and Customer Interactions
Attendees met with MATLAB and Simulink users, MathWorks technical engineers, and product developers.
Consulting Booth
Participants learned how MathWorks Consulting Services can help accelerate adoption of MATLAB and Simulink in projects and provide tool customization on top of shipping capabilities.
Agenda
Registration and Welcome
Welcome Note and Introductions
Sunil Motwani
Sunil Motwani is a country manager, sales and services, at MathWorks India. He has been at MathWorks since 2008, from the time it started operations in India. He has more than 30 years of experience in sales of technology products for various industry segments in India including automotive, aerospace and defense, communications, semiconductors, medical devices, and industrial automation. Sunil has a bachelor’s degree in electronics engineering from Visvesvaraya National Institute of Technology (VNIT), Nagpur, and a postgraduate diploma in software technology from National Centre of Software Technology (NCST), Mumbai.
LinkedIn Profile
Keynote: Moonshots: How Engineers and Scientists Are Achieving the Impossible
Moonshots—projects with lofty and seemingly impossible goals—are the engines that drive innovation, increase human knowledge, and improve our standard of living. Over 50 years ago, NASA's Apollo program landed the first people on the moon, accomplishing a literal moonshot and fostering emerging technologies that are now ubiquitous, such as integrated circuits, photovoltaic cells, and digital image processing. Today, engineers and scientists are aiming to generate unlimited clean energy, create advanced medical devices to save and improve lives, travel to Mars, and explore the universe. In this talk, learn about some of these visionary projects, the role MATLAB® and Simulink® played in helping engineers and scientists achieve their goals, and how you can apply these same tools and techniques to your own "moonshots."
Dr. Arun Mulpur
Arun Mulpur is a senior industry group manager at MathWorks. He has worked in the areas of design automation and algorithm and system design for over 28 years, including 21 years at MathWorks. His team works with companies in the communications, electronics, semiconductors, software and internet, energy production, medical devices, and robotics industries. They focus on enabling customer engineering teams in the development of new technologies and products and improving engineering workflows for algorithm development, system design, simulation, prototyping, and implementation. Arun holds a B.E. degree in electrical engineering from Osmania University, where he was awarded the Khateeb Mahmood Hussain Gold Medal. He also holds M.S. and Ph.D. degrees in electrical engineering and an M.B.A. from the University of Massachusetts.
LinkedIn Profile
Customer Keynote: Towards Safe Driving in Unstructured Environments
India has one of the largest road networks in the world and is emerging as the fastest growing network. With more and more vehicles on the road, safety is now more crucial than ever before. The driving conditions in countries like India are diverse and the traffic behavior is highly unstructured compared with the rest of the world. Inspecting and assessing the quality of traffic infrastructure is challenging due to the length of roads and frequency that inspections are needed. These driving conditions pose unique challenges that are yet unsolved for research in artificial intelligence (AI) and machine learning (ML) systems, and hence offer opportunities for possible technical innovations. Road safety is challenged by chaotic and unstructured driving environments such as lack of delineated lanes; heavy traffic of smaller vehicles like cycles, cycle-rickshaws and auto-rickshaws; large numbers of people and animals on the road; and potholes. Addressing these challenges to bring safety and autonomy to vehicles and traffic infrastructure is of paramount importance. This talk will explore technology challenges like “What are the dimensions beyond technology?”, and “What are the unique issues for countries like India?”
Dr. C. V. Jawahar
Dr. C. V. Jawahar is the Dean of Research and leads the Centre for Visual Information Technology (CVIT) at IIIT-H. His research work focuses on computer vision, machine learning, and multimedia systems. Conscious of the social and practical relevance and application of research, he is actively engaged with several government agencies, ministries, and leading companies around innovating at scale through research. C.V. is an elected Fellow of the Indian National Academy of Engineers (INAE) and the International Association of Pattern Recognition (IAPR). He was awarded the ACM India Outstanding Contribution to Computing Education (OCCE) Award in 2021, and has more than 100 publications in top-tier conferences and journals.
What’s New in MATLAB and Simulink R2023a
Learn about new capabilities in MATLAB® and Simulink®. This talk highlights new tools such as interactive apps, Live Editor tasks, and high-level functions for completing tasks in MATLAB with little to no coding; and new features in Simulink for defining input signals, managing design variants, and debugging simulations. See new capabilities for building and testing your code and models, using Python® with both MATLAB and Simulink, and integrating with other tools and environments, including Jupyter®, VS Code, and Unreal®.
Vijayalayan R
Vijayalayan R heads automotive industry and location field application engineering at MathWorks India. He and his team facilitate the adoption of Model-Based Design, empowering customers to embrace next-generation technologies on their journey towards electrification, AI, and software-defined vehicle projects. Vijayalayan is part of the management committee of the SAE India Bangalore section and has 23 years of industry experience. Prior to joining MathWorks, he worked in embedded systems leadership at Cranes Software International Limited and as a Scientist B at the Gas Turbine Research Establishment. Vijayalayan holds a bachelor's degree from Manonmaniam Sundaranar University and a master's degree in control and instrumentation from IIT Madras.
LinkedIn Profile
Tea Break, Technology Showcase* and Networking
Ramanuja Jagannathan, MathWorks
Kishore Siddani, MathWorks
Ramanuja Jagannathan, MathWorks
Kishore Siddani, MathWorks
Master Class: Developing Electrified Propulsion Systems for a Sustainable Future
Electrified propulsion systems are essential for achieving a sustainable future in transportation. As global demand for electricity continues to increase, efficient and sustainable methods are needed to generate, store, and consume this energy.
Batteries, motors, and power electronics are the fundamental building blocks of such systems, and simulation studies can play an important role in accelerating their design and development. In this master class, learn how to create a battery cell model and scale it to a pack or module within minutes. Additional topics include motor and power electronics converter modeling techniques and design control algorithms to regulate their speed, torque, and other performance characteristics.
The concepts and workflows presented in this session can be applied to grid-scaled energy storage and industrial motor drives as well. The examples highlight the Model-Based Design approach, which can be a powerful enabler to test what-if scenarios and bring in efficiency in development.
Rahul Choudhary
Rahul Choudhary is a principal application engineer at MathWorks India, specializing in system modeling and control design. He has over 12 years of experience in power electronics control, motor control, multidomain modeling, and real-time simulation. Before joining MathWorks, Rahul worked as a control engineer at Eaton India Engineering Centre, where he was involved in developing prognostics and health monitoring algorithms for proof-of-concept projects for their electrical products.
He holds a master’s degree in systems and control engineering from Indian Institute of Technology Bombay, Mumbai, and a bachelor’s degree in electronics and instrumentation engineering from Institute of Engineering and Technology, Lucknow, India.
Ramanuja Jagannathan
Ramanuja Jagannathan is a senior application engineer at MathWorks India working on modeling, simulation, control design, and simulation deployment for mechatronics applications. He has experience working in customer projects involving mechatronic machine design, robotic manipulators, reinforcement learning–based controllers, and digital twin deployment. Before joining MathWorks, he was a senior engineer at Larsen and Toubro working in project planning and control of railway projects. Ramanuja’s academic background is in process control, and he completed a master’s program at National Institute of Technology, Tiruchirappalli, India.
LinkedIn Profile
Master Class: FPGA-Based Implementation of Beamforming Algorithms for Radar and Wireless Systems
Beamforming is widely used in radar, sonar, medical imaging, and audio applications to focus transmitted signals from a sensor array in a specific direction. Conventional beamformers have fixed weights while adaptive beamformers have weights that respond to the environment. In this session, see how you can model and simulate beamforming algorithms, and how to automatically generate optimal HDL code from the model and verify it for implementation on an FPGA.
Sumit Garg
Sumit Garg is a senior application engineer at MathWorks India specializing in design analysis and implementation of radar signal processing and data processing applications. He works closely with customers in areas of radar, phased array, and sensor fusion. He has around 12 years of industrial experience in the development of hardware and software applications in the radar domain.
Kishore Siddani
Kishore Siddani is an application engineer at MathWorks. He works closely with customers to help them adopt Model-Based Design to accelerate the design and deployment of applications including communications, radar, controls, and deep learning. He has nine years of industry experience working on implementation of applications targeting the Xilinx® Zynq® platform and other SoC devices. Prior to joining MathWorks, Kishore worked for Huawei Technologies, handling telecom clients internationally in around seven countries. He was also an engineer at Uurmi Solutions, where he was involved in the design and development of custom OFDM-based communication systems for defense applications.
LinkedIn Profile
Prashant Rao, MathWorks
Prashant Rao, MathWorks
Panel Discussion 1: Implementing AI in Engineering: Reliability, Explainability, and Accuracy
Artificial intelligence (AI) has emerged as a transformative technology intended to revolutionize various industries. This panel discussion focuses on the use of AI in engineering and technology, particularly on how engineers and scientists use AI in their research and development (R&D) workflows, and how they are implementing AI-based systems in real-world applications including robotics, wireless communications, autonomous vehicles, aviation, healthcare, automation, manufacturing, and electrification.
The panel consists of experts from diverse engineering fields who have hands-on experience in AI implementation. The discussion covers topics such as responsible and ethical implementation of AI, AI reliability, explainability, accuracy, deployment, verification and certification, and the use of generative AI in engineering and its implications.
Moderator
Prashant Rao
Prashant Rao heads the Application Engineering team at MathWorks India. He and his team focus on helping customers across industry verticals and application domains to accelerate and reduce risk in their development processes through the usage of MATLAB and Simulink products. He has a wide exposure with customers ranging from large enterprises to startups spanning commercial, government, and educational organizations. Prashant is a regular contributor at industry forums, sharing his views around megatrends in technology and especially how artificial intelligence (AI) is enabling engineers and scientists to build smarter systems.
LinkedIn Profile
Lunch and Technology Showcase*
Dr. Lakshminarayan Viju Ravichandran, MathWorks
Dr. Lakshminarayan Viju Ravichandran, MathWorks
Panel Discussion 2: Enabling Engineers and Scientists to Tackle Climate Change
The climate crisis is here, and it is impacting people around the world. We cannot leave addressing climate change just to the climate scientists. There is a broad array of possible solutions for reducing greenhouse gas emissions, and most of these are interdisciplinary in nature. Hence, every scientist and engineer has a role to play via fundamental and applied research.
“Electrification of everything” is a key megatrend addressing climate crisis. It cuts across not only transportation, but also defense, healthcare, and energy. One of the key areas where business leaders are focusing as they maneuver through this megatrend is training their workforce with system engineering skills—with academia acting as a feeder into industry with the right curriculum and projects.
In this panel discussion, industry experts, policy makers, and academicians will deliberate on the directions that Indian industry and academia should take to empower engineers and contribute effectively toward tackling climate change.
Moderator
Dr. Lakshminarayan Viju Ravichandran
Dr. Lakshminarayan Viju Ravichandran leads the education technical evangelist team at MathWorks India, focusing on the application of MATLAB and Simulink in curriculum development and research. His interests lie in finding synergies between industry and academia. He has over 7 years of experience in academic research and 10 years in the industry. Prior to joining MathWorks, Viju worked as a research associate at Arizona State University, where he obtained his master’s and Ph.D. degrees in electrical engineering. He was involved in the development and design of signal processing algorithms, analysis of biological data, and architectural implementation of signal processing algorithms. As a postdoctoral fellow at Emory University, he worked at the Department of Radiology and Imaging Sciences developing algorithms in image processing for medical data.
LinkedIn Profile
Vaishnavi H.R., MathWorks
Dr. Rishu Gupta, MathWorks
Peeyush Pankaj, MathWorks
Vaishnavi H.R., MathWorks
Dr. Rishu Gupta, MathWorks
Peeyush Pankaj, MathWorks
Master Class: Accelerating Production of Industry-Compliant Embedded Software Using Model-Based Design
In high-integrity embedded applications, where extremely high product confidence is needed as a failure may prove to be catastrophic, it is crucial to develop a more robust code.
Simulink® enables users to design and simulate algorithms and quickly deploy production-quality software from these algorithms. Instead of writing thousands of lines of code by hand, engineers can leverage automatic code generation to increase productivity, improve quality, and foster innovation. Equivalence testing to ensure robust code transformation is a recommended practice by multiple industry standards.
Along with code generation, you will also learn how to use Polyspace® for formal verification of the embedded software. Polyspace provides two capabilities within this workflow: the inclusion of compliance checking with coding rules and, more importantly, the application of formal methods to prove the absence of runtime error.
In this master class, engineers from MathWorks will introduce the embedded software development workflow using tools that guarantee a robust and efficient workflow. Learn more about how Model-Based Design supports a faster transition from design to deployment with streamlined verification and validation workflow.
Vamshi Kumbham
Vamshi Kumbham is a senior application engineer at MathWorks India specializing in modeling, simulation, automatic code generation, and verification and validation. He works closely with customers across domains to help them use MATLAB and Simulink in their workflows. He has over 12 years of industry experience in design and development of software applications in the automotive domain. He has been a part of the complete life cycle of automotive projects. Before joining MathWorks, Vamshi worked for Bosch as a senior software engineer and for Hyundai Motor India Engineering as assistant manager. He holds a bachelor’s degree in electronics and communication from Sri Venkateswara Engineering College.
Vaishnavi H.R.
Vaishnavi H.R. is an application engineer with MathWorks India focusing on the field of verification and validation, and primarily concentrating on static source code analysis and verification of the embedded code.
Prior to joining MathWorks, Vaishnavi worked with HCL Technologies, Bangalore, and on V&V projects pertaining to the aero industry with clients like Rockwell Collins.
LinkedIn Profile
Master Class: Driving into the Future: AI-Enabled Autonomous Systems
Artificial intelligence (AI) is increasingly being used in autonomous systems to enhance their performance, efficiency, and safety. AI algorithms such as deep learning, reinforcement learning, and machine learning are commonly used to develop AI-enabled autonomous systems. These algorithms allow the system to learn from data and improve its performance over time. High resolution sensors such as camera, lidar, and radar provide a wealth of data that feed perception algorithms and enable new ways of understanding the surrounding environment. Perception and navigation subsystems leverage deep learning and machine learning for a variety of applications such as object detection and target classification, estimating occupancy map for navigation, acceleration motion planning, and more. Control leverage reinforcement learning develops controllers for vehicle actuation in a complex environment.
In this master class, learn how MATLAB® and Simulink® enable engineers and scientists working on autonomous systems (UAVs, UGVs) to build and leverage artificial intelligence in their workflows while working on perception, navigation, and controls.
Highlights:
- Handling data (scarcity, annotation, large data, preprocessing)
- Developing and hyperparameter tuning of AI models
- Formally verifying the robustness properties of AI models
Use cases:
- Acceleration of motion planning using deep learning
- Development of a hybrid controller for an automated parking valet
Jayanth Balaji Avanashilingam
Jayanth Balaji Avanashilingam works as a senior application engineer at MathWorks in the area of artificial intelligence. He primarily focuses on areas of data analytics applications involving time-series data. Jayanth has eight years of research and industrial experience, and has worked on developing AI, machine learning, and deep learning solutions for retail optimization, computer vision, natural language processing, and other application areas. Prior to joining MathWorks, Jayanth worked as a senior AI engineer at Impact Analytics, Bangalore.
Dr. Rishu Gupta
Rishu Gupta is a principal application engineer at MathWorks India. He primarily focuses on automated driving and artificial intelligence applications. Rishu has over nine years of experience working on applications related to visual contents. He previously worked as a scientist at LG Soft India in the Research and Development unit. Rishu holds a bachelor’s degree in electronics and communication engineering from BIET Jhansi; a master’s in visual contents from Dongseo University, South Korea, working on the application of computer vision; and a Ph.D. in electrical engineering from University Technology Petronas, Malaysia.
Peeyush Pankaj
Peeyush Pankaj is a principal application engineer at MathWorks, where he has been promoting MATLAB products for data science. He works closely with customers in the areas of predictive maintenance, digital twin, enterprise integration, and big data. Peeyush has over 12 years of industry experience with a strong background in aviation. Prior to joining MathWorks, he has extensively worked on aircraft engine designs, testing, and certification. He has filed 25 patents on advanced jet engine technologies and prognostic health monitoring of aircraft engines. Peeyush holds a master’s degree in advanced mechanical engineering from the University of Sussex, UK.
Tea Break, Technology Showcase* and Networking
*Technology Showcase will be running throughout the day.
Technology Showcase
View full Technology Showcase details
Artificial Intelligence
Robotics and Autonomous Systems
Electrification
Model-Based Systems and Software Engineering
Communications and Radar Systems