INDIA
13 July 2023 | Bangalore
18 July 2023 | Hyderabad
The in-person MATLAB EXPO India brings 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.
This is an invite-only event and registration is mandatory. We have limited seats available. If you are interested but have not received an invite, please send an email with your full name, designation, and company name to marketing_india@mathworks.com
Featured Speakers
Sunil Motwani, MathWorks
Dr. Arun Mulpur, MathWorks
Vadiraj Krishnamurthy, Bosch Global Software Technologies
Prashant Rao, MathWorks
What to expect
Master Classes
Engage in master classes delivered by senior MathWorks engineers covering AI, wireless communications, automotive, and electrification.
Customer Examples
Hear about real-world applications from leading MathWorks customers.
Networking and Customer Interactions
Meet and engage with MATLAB and Simulink users, MathWorks technical engineers, and product developers.
Consulting Booth
MathWorks Consulting Services can help accelerate adoption of MathWorks tools in your projects. Consulting Services also provides tool customisation on top of our shipping capabilities. Jump-start your project by applying MathWorks tools.
Agenda
Tracks
Registration and Welcome
Welcome Note and Introductions
Sunil Motwani
MathWorks
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
MathWorks
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
Vadiraj Krishnamurthy
Bosch Global Software Technologies
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®.
Prashant Rao
MathWorks
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
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
MathWorks
Rahul Choudhary is a senior application engineer at MathWorks India and specializes in the field of system modeling and control design. He has over 10 years of experience in power electronics control, motor control, multidomain modeling, and real-time simulation. Prior to joining MathWorks, Rahul worked with Eaton India Engineering Centre as a control engineer involved in developing prognostics and health monitoring algorithms for proof-of-concept projects using MATLAB and Simulink. 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
MathWorks
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
MathWorks
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 across domains to help them use MATLAB and Simulink in their workflows. He has more than 10 years of industrial experience in the design and development of hardware and software applications in the radar domain. He has been a part of the complete lifecycle of projects pertaining to aerospace and defense applications. Prior to joining MathWorks, he worked for Bharat Electronics Limited (BEL) and Electronics and Radar Development Establishment (LRDE) as a senior engineer. He holds a bachelor’s degree in electronics and telecommunication from Panjab University in Chandigarh.
Kishore Siddani
MathWorks
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
Panel Discussion 1
Lunch and Technology Showcase*
Panel Discussion 2
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
MathWorks
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
MathWorks
Gaurav Ahuja is an application engineer at MathWorks India, where he has been helping customers successfully adopt MATLAB and Simulink products for over five years. With a focus 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 aerospace, industrial automation, railways, medical devices, automotive, and consumer electronics. He is skilled in model verification and validation and automatic C code generation and certification. Gaurav holds a master's degree in embedded systems from BITS Pilani.
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
MathWorks
Jayanth Balaji Avanashilingam works as a senior application engineer at MathWorks in the area of artificial intelligence. He primarily focuses on data analytics for the application of time-series data. Jayanth has 7 years of research and industrial experience developing AI/machine learning/deep learning solutions for application areas like retail optimization, computer vision, and natural language processing. Prior to joining MathWorks, Jayanth was working as a senior AI engineer at Impact Analytics, Bangalore.
LinkedIn Profile
Dr. Rishu Gupta
MathWorks
Rishu Gupta is a principal application engineer at MathWorks India. He primarily focuses on artificial intelligence and automated driving. Rishu has over 10 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. He has published and reviewed papers in multiple peer-reviewed conferences and journals. 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, with a focus on biomedical image processing for ultrasound images.
LinkedIn Profile
Peeyush Pankaj
MathWorks
Peeyush Pankaj is a senior application engineer at MathWorks, where he promotes MATLAB products for data science. He works closely with customers in the areas of predictive maintenance, digital twins, enterprise integration, and big data. Peeyush has over 11 years of industry experience with a strong background in aviation. Prior to joining MathWorks, he worked on aircraft engine design, testing, and certification. Peeyush holds a master’s degree in advanced mechanical engineering from the University of Sussex, UK. He has filed 25 patents on advanced jet engine technologies and prognostic health monitoring of aircraft engines.
LinkedIn Profile
Tea Break, Technology Showcase* and Networking
*Technology Showcase will be running throughout the day.
Featured Speakers
Sunil Motwani, MathWorks
Dr. Arun Mulpur, MathWorks
Prashant Rao, MathWorks
Venue
Hyderabad International Convention Centre
Novotel & HICC Complex (Near HITEC City)
P.O Bag 1101, Cyberabad Post Office
Hyderabad – 500081
What to expect
Master Classes
Engage in master classes delivered by senior MathWorks engineers covering AI, wireless communications, automotive, and electrification.
Customer Examples
Hear about real-world applications from leading MathWorks customers.
Networking and Customer Interactions
Meet and engage with MATLAB and Simulink users, MathWorks technical engineers, and product developers.
Consulting Booth
MathWorks Consulting Services can help accelerate adoption of MathWorks tools in your projects. Consulting Services also provides tool customisation on top of our shipping capabilities. Jump-start your project by applying MathWorks tools.
Agenda
Tracks
Registration and Welcome
Welcome Note and Introductions
Sunil Motwani
MathWorks
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
MathWorks
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
Dr. C. V. Jawahar
IIIT Hyderabad
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®.
Prashant Rao
MathWorks
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
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
MathWorks
Rahul Choudhary is a senior application engineer at MathWorks India and specializes in the field of system modeling and control design. He has over 10 years of experience in power electronics control, motor control, multidomain modeling, and real-time simulation. Prior to joining MathWorks, Rahul worked with Eaton India Engineering Centre as a control engineer involved in developing prognostics and health monitoring algorithms for proof-of-concept projects using MATLAB and Simulink. 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
MathWorks
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
MathWorks
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 across domains to help them use MATLAB and Simulink in their workflows. He has more than 10 years of industrial experience in the design and development of hardware and software applications in the radar domain. He has been a part of the complete lifecycle of projects pertaining to aerospace and defense applications. Prior to joining MathWorks, he worked for Bharat Electronics Limited (BEL) and Electronics and Radar Development Establishment (LRDE) as a senior engineer. He holds a bachelor’s degree in electronics and telecommunication from Panjab University in Chandigarh.
Kishore Siddani
MathWorks
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
Panel Discussion 1
Lunch and Technology Showcase*
Panel Discussion 2
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
MathWorks
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 11 years of industry experience in design and development of software applications in the automotive domain. He has been a part of complete lifecycle of projects pertaining to automotive. 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 Venkateshwara Engineering College, Jawaharlal Nehru Technological University, Hyderabad.
Vaishnavi H.R.
MathWorks
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
MathWorks
Jayanth Balaji Avanashilingam works as a senior application engineer at MathWorks in the area of artificial intelligence. He primarily focuses on data analytics for the application of time-series data. Jayanth has 7 years of research and industrial experience developing AI/machine learning/deep learning solutions for application areas like retail optimization, computer vision, and natural language processing. Prior to joining MathWorks, Jayanth was working as a senior AI engineer at Impact Analytics, Bangalore.
LinkedIn Profile
Dr. Rishu Gupta
MathWorks
Rishu Gupta is a principal application engineer at MathWorks India. He primarily focuses on artificial intelligence and automated driving. Rishu has over 10 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. He has published and reviewed papers in multiple peer-reviewed conferences and journals. 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, with a focus on biomedical image processing for ultrasound images.
LinkedIn Profile
Peeyush Pankaj
MathWorks
Peeyush Pankaj is a senior application engineer at MathWorks, where he promotes MATLAB products for data science. He works closely with customers in the areas of predictive maintenance, digital twins, enterprise integration, and big data. Peeyush has over 11 years of industry experience with a strong background in aviation. Prior to joining MathWorks, he worked on aircraft engine design, testing, and certification. Peeyush holds a master’s degree in advanced mechanical engineering from the University of Sussex, UK. He has filed 25 patents on advanced jet engine technologies and prognostic health monitoring of aircraft engines.
LinkedIn Profile
Tea Break, Technology Showcase* and Networking
*Technology Showcase will be running throughout the day.
Technology Showcase
Artificial Intelligence
Electrification
Motor Control
Wireless Communications