Jayasurya Sevalur Mahendran is a graduate student studying robotics and autonomous systems with a focus on artificial intelligence. He has internship experience in data science, deep learning, swarm robotics, and embedded systems design. He is looking for internship or co-op opportunities starting in May 2020.
Data Science enthusiast, performing data analysis and predictive modelling using various machine learning algorithms. Sound knowledge of statistics used to gather insights from data and making data driven decisions.
Data Science enthusiast, performing data analysis and predictive modelling using various machine learning algorithms. Sound knowledge of statistics used to gather insights from data and making data driven decisions.
Actively Seeking Opportunity in VLSI& Semiconductor Industry. Looking for a challenging career to enhance my professional ability, skills and technical knowledge and growth in Semiconductor industry.
Actively Seeking Opportunity in VLSI& Semiconductor Industry. Looking for a challenging career to enhance my professional ability, skills and technical knowledge and growth in Semiconductor industry.
7 years overall experience. 6.2 Years experienced In Application development with PHP, MySQL and 0.8 Years experienced Backend Support with MySQL Database. Highly skilled in specification gathering, troubleshooting and quality assurance testing and database designing
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
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Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
1. Jayasurya Sevalur Mahendran
(480) 307 5037 | jsevalur@asu.edu | linkedin.com/in/jayasurya-sevalur-mahendran
SUMMARY
Robotics and Autonomous Systems Graduate student with internship experience in Data Science, Deep Learning, Swarm Robotics,
Embedded Systems Design and Programming. Looking out for Internship/CO-OP Opportunities to start from May 2020.
EDUCATION
• Master of Science in Robotics and Autonomous Systems (Artificial Intelligence) Expected May 2021
Arizona State University, Tempe, AZ, USA CGPA – 3.67/4.0
• Bachelor of Engineering in Instrumentation & Control Engineering May 2019
Anna University, Chennai, India, University Gold Medalist CGPA – 8.96/10
PROFESSIONAL EXPERINCE
Graduate Research Aide, ASU College of Health Solutions, Phoenix, Arizona Aug 2018- Present
• The research is focused around Alzheimer’s & Parkinson’s related disorders using MRI-based protocols, EEG
techniques and physical activity.
• My current responsibilities include developing deep learning model for Brain wave analysis and Brain Imaging to
segment any required region, Developing Applications in LabVIEW, Assisting with data collection of ECG, EMG
and motor testing, also on analyzing EEG and MRI data, generating graphs and table for reporting.
Machine Learning and Process Technology Intern, Council of Scientific & Industrial Research (CSIR) Nov 2018- Mar 2019
• Designed and Developed a Multi-Model Biometric System using Raspberry Pi and Deep learning that uses Facial, Vein, Iris
recognition to determine the person with an accuracy of 93.6%.
• Established cost-efficient and time effective milestones and also improved the security level.
Instrumentation and Telecom Intern, Saipem India Projects Pvt. Ltd. Oct 2018 - Nov 2018
• As a part of cross functional team, performed indexing on Piping and Instrumentation Diagram (PID) and sizing & selection
of valves for flow, level and temperature process.
• Designed the model of the plant using Smart Plant Instrumentation, and 3-D modeling software (PDMS, SP3D)
CERTIFICATIONS
Applied AI with Deep Learning by IBM, Coursera, Internet of Things, Introduction to Machine Learning, Linear Integrated
Circuits, Electrical Circuits NPTEL, Python Programming, Udemy, Programming in Java, Oracle
TECHNICAL SKILLS
Programming Languages: C, C++, Java, Python, R |Operating Systems: Linux OS: Ubuntu, CentOS |Software Tools: Debian,
Raspbian, Proteus8, MATLAB &Simulink, LabVIEW, Arduino IDE, ARM Controller
COURSE PROJECTS
E-Waste 3-D Printer using Arduino Mar 2018 - Oct 2018
• Built a printer using 80% of recycled components; used Repetier to link printer with Arduino and integrated it with a slicer
software that generates a sequence of sections of the object to be printed
Team Lead, Smart India Hackathon 2018 Software Edition (Team size: 6) Feb 2018 - Mar 2018
Voice Control for Home Automation using Smart Energy Meter
• Designed Arduino and Amazon Alexa voice service based smart home automation project based on smart energy meter to
monitor power consumption by electronic devices (light, fan, etc.); Ranked in top 10 out of 2K teams
Team Lead, Smart India Hackathon Hardware Edition 2018(Team size: 6) Jan 2018 - Jun 2018
Multi Model Biometric System using Raspberry Pi and Deep Learning
• Developed cost-effective Biometric system using Raspberry Pi and cryptographic algorithms (RSA &enhanced AES-256);
finished among top 10 out of 2000 participants
AWARDS
• Recipient of International Society of Automation Educational Foundation Scholarship 2019.
• Received Innovator Award for the project 'E-Waste 3-D Printer using Arduino' at the national-level project contest sponsored
by IEEE Madras Section, SSIT & ES, Sep 2018
• Secured All India Rank of 2 among 500,000 students in Indian Engineering Olympiad, May 2018
• Won Alexa Skill Wizard Challenge 2017 among 500 entries, Hackerearth.com, Dec 2017
• Won Rural Development Hackathon 2017 conducted by Hackerearth.com among 5000 entries, Sep 2017
