I strongly believe in the quote; "Anything worth doing is worth doing well!", by Hunter S Thompson and I always strive to achieve only the best in what I do, leading by example, always!
Paramount to the future of safety and autonomy, the automotive imaging market is at a key crossroads.
More information on https://www.i-micronews.com/products/imaging-for-automotive-2019/
Traditional vs. SoC FPGA Design Flow A Video Pipeline Case StudyAltera Corporation
This presentation compares the impact of traditional FPGA engineering design flow to one employed with an SoC FPGA. The two approaches will be contrasted in terms of their impacts on system architecture design, debugging, risk mitigation, system integration, bring-up, feature enhancements, design obsolescence, and engineering effort. A case study is presented that explores these impacts within a video pipeline development effort.
Intel Foveros and TSMC 3D SoIC are competing head-to-head for high-end packaging – How will Samsung react ?More information here : https://www.i-micronews.com/products/high-end-performance-packaging-3d-2-5d-integration-2020/
Presented for TTI Vanguard "Shift Happens" conference (http://bit.ly/TTIVshifthappens) visit to PARC, this is an overview of an all-printed and therefore low-cost, disposable sensor that conforms to the curvature of a helmet.
Developed for DARPA to monitor soldiers' blast exposure and prevent traumatic brain injury, the technology can be applied to multiple biomedical and other applications.
This project uses a temperature sensor to detect the occurrence of a fire and in that case uses a GSM module to send a text alert to the user's phone number.
To study the working principle of gas and smoke detector system
To design and construct of the gas and smoke detector system and control system using Arduino with Bluetooth module
To implement gas and smoke design in the project
At the very first time of smoke creation so that avoided the unwanted accident
BITS PILANI IoT PG PROGRAMME DESIGN ASSESSMENT.
The goal of the design assessment is to detect and predict forest fire promptly and accurately to minimize the loss of forests, wild animals, and people in the forest fire.
Paramount to the future of safety and autonomy, the automotive imaging market is at a key crossroads.
More information on https://www.i-micronews.com/products/imaging-for-automotive-2019/
Traditional vs. SoC FPGA Design Flow A Video Pipeline Case StudyAltera Corporation
This presentation compares the impact of traditional FPGA engineering design flow to one employed with an SoC FPGA. The two approaches will be contrasted in terms of their impacts on system architecture design, debugging, risk mitigation, system integration, bring-up, feature enhancements, design obsolescence, and engineering effort. A case study is presented that explores these impacts within a video pipeline development effort.
Intel Foveros and TSMC 3D SoIC are competing head-to-head for high-end packaging – How will Samsung react ?More information here : https://www.i-micronews.com/products/high-end-performance-packaging-3d-2-5d-integration-2020/
Presented for TTI Vanguard "Shift Happens" conference (http://bit.ly/TTIVshifthappens) visit to PARC, this is an overview of an all-printed and therefore low-cost, disposable sensor that conforms to the curvature of a helmet.
Developed for DARPA to monitor soldiers' blast exposure and prevent traumatic brain injury, the technology can be applied to multiple biomedical and other applications.
This project uses a temperature sensor to detect the occurrence of a fire and in that case uses a GSM module to send a text alert to the user's phone number.
To study the working principle of gas and smoke detector system
To design and construct of the gas and smoke detector system and control system using Arduino with Bluetooth module
To implement gas and smoke design in the project
At the very first time of smoke creation so that avoided the unwanted accident
BITS PILANI IoT PG PROGRAMME DESIGN ASSESSMENT.
The goal of the design assessment is to detect and predict forest fire promptly and accurately to minimize the loss of forests, wild animals, and people in the forest fire.
A 64-Bit RISC Processor Design and Implementation Using VHDL Andrew Yoila
1. Introduction
In today technology digital hardware plays a very important role in field of electronic and computer engineering products today. Due
to fast growing and competition in the technological world and rapid rise of transistor demand and speediness of joined circuits and
steeps declines of the price cause by the improvement in micro-electronics application Machineries. The introduction of computer to
the society has affected so many things in the society in which almost all problems can be solve using computers. Many industries
today are requesting for system developers that have the skills and technical knowhow of designing the program logics. VHDL is one
of the most popular design applications used by designer to implement such task. Reduce instruction set computing (RISC) processor
play a vital role with RISC AND BIST features which most dominants patterns can provide, in systems testing of the circuits below
the tests which is important to the quality component of testing [1]. Although the Reduced instruction set have few instructions sets, as
its bit’s processing’s sizes increase then the test’s patterns become denser and the structure’s faults is kept great. In view to enable the
Operation of the most instructions as registers to registers operation, Arithmetic logic unit is studied and a detail test patterns is being
develop. This report is prepaid keeping in mind where specific application is automated and controlled. This report has 33 instruction
set with MICA architecture. This report will focus mainly on the meaning of
i. RISC processor,
ii. the design,
iii. the architecture,
iv. the data part and the instruction set of the design.
v. VHDL.
MEMS & Sensors challenges & opportunities for the next decade 2016 Presentati...Yole Developpement
MEMS & Sensors enable key functionalities…
Current battleground of the industry
MEMS is a semiconductor technology thus enabling miniaturization and lower cost manufacturing of existing products
Automotive is the historical MEMS high volume market
Transition started in 2003 towards consumer products…
After decreasing die size, improvements are now focused on packaging issues and use of through silicon vias (TSVs) for instance
Coal Mine Safety Monitoring and Alerting System using IOT Basedijtsrd
In our day to day life electric power is more important and the power generating many more types. And one of its mining So our project fully based on mine safety and alerting system with uses of IOT Internet Of Things . Hear we used a robot for analyzing the danger in undergoing mining. So we are going to use LDR sensor, GAS sensor, RF sensor, LM35 temperature sensor and micro camera for visualization for controller operating the robot. Now we see uses of sensor LDR light dependent resistor when LDR is dark place its resistances is high and, when the LDR is light places its resistances is low, GAS sensor is used for identify the carbon dioxide percentage in mining places, the mine engineers work in underground so the LM35 sensor used to measuring the temperature, RF is master controller and it will be rise the massage on IOT. So we conclude that it will be useful for mine engineering safety. R. Karthick | R. T Ajaykarthik | D. R. P Rajarathnam | S. Sanjay | R. Tamil Kumaran | R. Sriram "Coal Mine Safety Monitoring and Alerting System using IOT Based" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-4 , June 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50274.pdf Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/50274/coal-mine-safety-monitoring-and-alerting-system-using-iot-based/r-karthick
Status of the CMOS Image Sensor Industry 2017 - Report by Yole DeveloppementYole Developpement
New applications are transforming the market and technology playing field for CMOS image sensors
It’s ten years down the line from the initial Apple iPhone that started the smartphone era. Since then, CMOS imaging has benefited from huge market demand and a technology-driven environment, resulting in an $11.6B industry in 2016. Photography and video is the main application, which is totally transformed by new use cases, new devices and new technologies.
The mobile market is key for the CMOS image sensor (CIS) industry. Despite saturation in the number of handsets, the CIS market has been able to maintain a 10.5% compound annual growth rate (CAGR) for the 2016-2022 period due to the introduction of dual and 3D cameras. These additional cameras are changing the industry’s drivers from form factor and image quality to interactivity.
Penetration into higher added value markets such as automotive, security and medical shows that CIS products are transforming use cases across the board. CIS technology adoption allows greater automation levels at low cost, while using newly available computing architectures such as deep learning. The CMOS image sensor industry is currently in a virtuous circle where a new technology is providing true customer value.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2019-embedded-vision-summit-tschudi
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Yohann Tschudi, Technology and Market Analyst at Yole Développement, presents the "AI Is Moving to the Edge—What’s the Impact on the Semiconductor Industry?" tutorial at the May 2019 Embedded Vision Summit.
Artificial intelligence is proliferating into numerous edge applications and disrupting numerous industries. Clearly this represents a huge opportunity for technology suppliers. But it can be difficult to discern exactly what form this opportunity will take. For example, will edge devices perform AI computation locally, or in the cloud? Will edge devices use separate chips for AI, or will AI processing engines be incorporated into the main processor SoCs already used in these devices?
In this talk, Tschudi answers these questions by presenting and explaining his firm's market data and forecasts for AI processors in mobile phones, drones, smart home devices and personal robots. He explains why there is a strong trend towards executing AI computation at the edge, and quantifies the opportunity for separate processor chips and on-chip accelerators that address visual and audio AI tasks.
A 64-Bit RISC Processor Design and Implementation Using VHDL Andrew Yoila
1. Introduction
In today technology digital hardware plays a very important role in field of electronic and computer engineering products today. Due
to fast growing and competition in the technological world and rapid rise of transistor demand and speediness of joined circuits and
steeps declines of the price cause by the improvement in micro-electronics application Machineries. The introduction of computer to
the society has affected so many things in the society in which almost all problems can be solve using computers. Many industries
today are requesting for system developers that have the skills and technical knowhow of designing the program logics. VHDL is one
of the most popular design applications used by designer to implement such task. Reduce instruction set computing (RISC) processor
play a vital role with RISC AND BIST features which most dominants patterns can provide, in systems testing of the circuits below
the tests which is important to the quality component of testing [1]. Although the Reduced instruction set have few instructions sets, as
its bit’s processing’s sizes increase then the test’s patterns become denser and the structure’s faults is kept great. In view to enable the
Operation of the most instructions as registers to registers operation, Arithmetic logic unit is studied and a detail test patterns is being
develop. This report is prepaid keeping in mind where specific application is automated and controlled. This report has 33 instruction
set with MICA architecture. This report will focus mainly on the meaning of
i. RISC processor,
ii. the design,
iii. the architecture,
iv. the data part and the instruction set of the design.
v. VHDL.
MEMS & Sensors challenges & opportunities for the next decade 2016 Presentati...Yole Developpement
MEMS & Sensors enable key functionalities…
Current battleground of the industry
MEMS is a semiconductor technology thus enabling miniaturization and lower cost manufacturing of existing products
Automotive is the historical MEMS high volume market
Transition started in 2003 towards consumer products…
After decreasing die size, improvements are now focused on packaging issues and use of through silicon vias (TSVs) for instance
Coal Mine Safety Monitoring and Alerting System using IOT Basedijtsrd
In our day to day life electric power is more important and the power generating many more types. And one of its mining So our project fully based on mine safety and alerting system with uses of IOT Internet Of Things . Hear we used a robot for analyzing the danger in undergoing mining. So we are going to use LDR sensor, GAS sensor, RF sensor, LM35 temperature sensor and micro camera for visualization for controller operating the robot. Now we see uses of sensor LDR light dependent resistor when LDR is dark place its resistances is high and, when the LDR is light places its resistances is low, GAS sensor is used for identify the carbon dioxide percentage in mining places, the mine engineers work in underground so the LM35 sensor used to measuring the temperature, RF is master controller and it will be rise the massage on IOT. So we conclude that it will be useful for mine engineering safety. R. Karthick | R. T Ajaykarthik | D. R. P Rajarathnam | S. Sanjay | R. Tamil Kumaran | R. Sriram "Coal Mine Safety Monitoring and Alerting System using IOT Based" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-4 , June 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50274.pdf Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/50274/coal-mine-safety-monitoring-and-alerting-system-using-iot-based/r-karthick
Status of the CMOS Image Sensor Industry 2017 - Report by Yole DeveloppementYole Developpement
New applications are transforming the market and technology playing field for CMOS image sensors
It’s ten years down the line from the initial Apple iPhone that started the smartphone era. Since then, CMOS imaging has benefited from huge market demand and a technology-driven environment, resulting in an $11.6B industry in 2016. Photography and video is the main application, which is totally transformed by new use cases, new devices and new technologies.
The mobile market is key for the CMOS image sensor (CIS) industry. Despite saturation in the number of handsets, the CIS market has been able to maintain a 10.5% compound annual growth rate (CAGR) for the 2016-2022 period due to the introduction of dual and 3D cameras. These additional cameras are changing the industry’s drivers from form factor and image quality to interactivity.
Penetration into higher added value markets such as automotive, security and medical shows that CIS products are transforming use cases across the board. CIS technology adoption allows greater automation levels at low cost, while using newly available computing architectures such as deep learning. The CMOS image sensor industry is currently in a virtuous circle where a new technology is providing true customer value.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2019-embedded-vision-summit-tschudi
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Yohann Tschudi, Technology and Market Analyst at Yole Développement, presents the "AI Is Moving to the Edge—What’s the Impact on the Semiconductor Industry?" tutorial at the May 2019 Embedded Vision Summit.
Artificial intelligence is proliferating into numerous edge applications and disrupting numerous industries. Clearly this represents a huge opportunity for technology suppliers. But it can be difficult to discern exactly what form this opportunity will take. For example, will edge devices perform AI computation locally, or in the cloud? Will edge devices use separate chips for AI, or will AI processing engines be incorporated into the main processor SoCs already used in these devices?
In this talk, Tschudi answers these questions by presenting and explaining his firm's market data and forecasts for AI processors in mobile phones, drones, smart home devices and personal robots. He explains why there is a strong trend towards executing AI computation at the edge, and quantifies the opportunity for separate processor chips and on-chip accelerators that address visual and audio AI tasks.
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.
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.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Immunizing Image Classifiers Against Localized Adversary Attacks
VEDANT GHODKE - RESUME
1. 1
VEDANT GHODKE
vedantghodke@gmail.com LinkedIn GitHub
Patent Application Number: 201921037397 A
Patent International Classification: A01K03/12 (‘Extraction of Bio-fuel from Milk and Milk Components’)
Patent Publication Date: October 25, 2019
Blog: THE OBSCURE (Informative blog based on factual citations)
About
Personable and astute engineering student (B.Tech in Electronics and Telecommunication Engineering) with proven
time management and collaboration skills developed by participation in several technical and non-technical activities
with a propitious record. Profound portfolio developed by gaining several academic accolades throughout. Possesses
keen interest in Data Science, Artificial Intelligence, Deep Learning, Neural Networks, Internet of Things and Robotics.
Educational Qualifications
Vishwakarma Institute of Technology, Pune, India July 2018 - July 2020
(B.Tech in Electronics and Telecommunication Engineering)
Current GPA: 9.47/10 (3rd semester)
Cumulative GPA: 9.49/10
Highlights
• Strong coding ability both in producing clean and efficient code as well as debugging and understanding large
code and data bases.
• Sound knowledge of multiple algorithms used for Data Sciences from various libraries in Python and proficient in
Machine Learning, Artificial Intelligence, Deep Learning, Neural Network skills for multiple types of applications.
• Experience in SAP Business One and S/4 HANA Enterprise Resource Planning (ERP) handling and back-end coding.
• Excellent knowledge of operating systems internals (toolchains) with analytical and problem solving skills.
Certifications
IBM:
1. Professional Data Science Engineer
2. Professional Machine Learning
3. Introduction to Professional Artificial Intelligence
4. Deep Learning Models using TensorFlow
Google:
1. Ultimate Professional Cloud Network Engineer
2. Professional Cloud Architect
3. Cloud Platform Fundamentals
Sr No Name of Institution Standard
Year of
Passing Board Percentage
1
Abhinava Vidyalaya English
Medium High School 10th June 2016
SSC Maharashtra
Board 92%
2 Ashok Vidyalaya and Junior College 12th June 2018
HSC Maharashtra
Board 82%
2. 2
4. Architecture of Big Data Solutions Using Google DataProc
5. TensorFlow 2.0 Using Keras AP
6. How Google Does Machine Learning?
7. Sequence Models for Time Series and Natural Language Processing on Google Cloud
8. Modern Natural Language Processing in Python
9. Machine Learning for Business and Enterprise Professionals
10. Flutter with Firebase
11. Digital Marketing on Digital Garage
12. Machine Learning MLFest - Beginner Track
Microsoft:
1. Microsoft Artificial Intelligence - Azure Technologies + AI 2020
Amazon Web Services:
1. AWS Certified Cloud Practitioner
Binghamton, State University of New York (SUNY), IBM Watson Technical School:
1. Design Thinking in Industry 4.0 by Prof. Dr. Micheal Testani
Udemy:
1. Artificial Intelligence Automation
2. Artificial Intelligence in Industry 4.0
3. Machine Learning And Deep Learning
4. Python For Machine Learning And Data Science Bootcamp
5. Python Network Programming For Network Engineers
6. Support Vector Machine In Python
7. Neural Networks In R Studio Using Keras And TensorFlow
8. Professional Problem Solving In Python
9. Web Development Bootcamp
10. Cyber Security
11. R Programming
12. Deep Reinforcement Learning (Hands-On AI)
13. Download Manager Using Python And PyQT5
14. Ethical Hacking
15. Java Programming (Basics)
16. Java Server Pages Programming
17. JavaScript - Build Real Projects
18. JavaScript Programming
19. Lambda With Functional Programming In Java8
20. Environmental Sciences
Software Skills
Programming Languages :
Procedural language : C Programming
Object Oriented Programming : C++ Programming, Python 3.0
Virtual Machine based Programming : Arduino Coding
Scripting language : JavaScript, Node.js, PHP, MATLAB, CSS, HTML, XML
Python Libraries: NumPy, SciPy, PyTorch, Theano, Keras, Scikit-Learn, TensorFlow 2.0, Pandas, NLTK, OpenCV
Web Technologies: HTML/HTML5, CSS2/CSS3, XML, XHTML, XSLT, AJAX, JavaScript (ReactJS + Node.js)
IDE & Tools: IBM Watson Cloud, Google Cloud, Google QwikLabs, Microsoft Azure Cloud Technologies for AI, AWS
Snowball, MS Visual Studio Code, MS Visual Studio, Sublime, PyCharm, Anaconda Package, Spyder, Jupyter Notebook,
Notepad ++, Simple Code Blocks, Adobe Spark, SAP Business One and SAP S/4 HANA
Operating Systems: Windows NT, Linux Distributions, iOS
3. 3
Testing techniques: UnitTesting, Integration Testing, Interface Testing, Regression Testing, Beta Testing
Testing Methodologies: Agile, Waterfall
Other Skills: MS Office, Corel Draw, Adobe DreamWeaver, Adobe Photoshop, R Statistical Project, MATLAB and
Simulink, NI MultiSim Suite, Proteus Professional Designing, Eagle Designing
Key Capstone Projects and Data-sets Handled
Project Name : Naval Mine Detector1
Technology: Deep Learning with Neural Networks using Scikit-Learn library of Python 3.0
Mentor: Piyush Manohar Khairnar Marvellous Infosystems
Description:
• Detection and classification of underwater objects in sonar imagery is a complicated problem, due to various factors
such as variations in operating and environmental conditions, presence of spatially varying clutters, variations in
target shapes, compositions and orientation.
• By application of the concept of Deep learning with Neural Networks, Naval Mines can be predicted very well.
Project Name : Periodic Process Logger with Auto Scheduled Log Report Plugin1
Technology: Selenium, ChromeDriver with NumPy and Pandas library of Python 3.0
Mentor: Piyush Manohar Khairnar Marvellous Infosystems
Description:
• This is a python project in which a log file is created with the current time and information about all running
processes as its name, PID, memory usage, thread count number of child process is stored.
• The automation script executes periodically depending on the interval specified by the user using scheduler of
python.
• After periodic execution it sends the log file with concerned status to the specified email address.
Project Name: Unmanned Robotic Vehicle for Landmine and Gas Detection1
Jan 2020 - May 2020
Mentor: Prof. Dr. Pooja Kulkarni Assistant Professor, VIT, Pune
Successfully developed a ZigBee module and Node MCU based unmanned robotic vehicle for landmine detection and
gas detection technology with real time optimization.
Project Name/Patent Title: Extraction of Bio-fuel from Milk2
Oct 2019
Mentor(s): Prof. Vivek Nagnath, Prof. Kalpesh Joshi Assistant Professors, VIT, Pune
Successfully extracted clean bio-fuel from milk and milk fats. Patent successfully published under Indian Judiciary with
international classification A01K03/12
Project Name: Autonomous Fire Fighting Robot1
Jun 2019 - Dec 2019
Mentor: Prof. Dr. Milind Kamble Academic Head and Faculty Professor, ENTC Dept, VIT, Pune
Successfully developed a multiple sensor based autonomous fire fighting robot under PMC development projects
using Arduino MEGA and relevant sensors.
Project Name: Autonomous Crab Robot1
Jan 2019 - Feb 2019
Mentor: Prof. Dr. Harshavardhan Khare Assistant Professor and Research Faculty, VIT, Pune
Designed and developed a working model of an application controlled robot involving development of a personalised
application using MIT Companion involving Arduino UNO coding under the VIT-TRF drive.
Project Name: Speed Governor and Accident Prevention System for Vehicles1
Jun 2018 - Dec 2018
Mentor: Prof. Dr. Sachin Sawant Assistant Research Head, VIT, Pune
Successfully developed a Speed Governor and Accident Prevention System for Vehicles using RFID Technology and
GSM and GPS modules, PIR Sensors respectively.
1
Available on viable request
2
All patent copyrights reserved by Vedant Ghodke
4. 4
Academic Achievements
2019: Successfully published a patent under Indian Judiciary for “Extraction of Bio-fuel from Milk and Milk
Components”
2018: HSC college topper for highest marks secured in Computer Science (vocational) subject
2015: Obtained scholarship and secured 4th
rank at district level in “MaharashtraTalent Search” (MTS) Exam
2013: Attained State Level scholarship in Higher Secondary
2013: Selected as the only student to represent High School for DNA Science Conference held at IISc, Bengaluru
2012: Succeeded in 1st
level of national “Homi Bhabha Science Competition” Exam
2011: Obtained scholarship at state level in Mathex 1st
level (Pravinya) and 2nd
level (Pradnya)
2010: Secured silver medal at National level and 16th
rank at International level in IOELExam (International
Olympiad for English Language) conducted by SilverZone Foundation, New Delhi
Extra-Curricular Achievements
Secured “Best Delegate” and “Best Delegation” award in United Nations Security Council (UNSC) crisis
committee at Panacea Model United Nations (MUN), 2019 organized by MIT-WPU, Pune.
Secured the 2nd place for “Voice of VIT” competition in Vishwakarandak 2019
Secured the 1st runner-up award for “Mr. Fresher 2018-19” in Vishwakarma Institute of Technology, Pune
Secured the 2nd place for “Hard Talk” segment in the Melange Fest held at Vishwakarma Institute of Technology,
Pune
Selected as the only student from college in poetry recitation at the Cultural Session organized by Pune
Municipal Corporation
Obtained silver medal at international level in “Global Cultural Olympiad” in vocal music at National University of
Singapore (NUS) organized by Akhil Bharatiya Sanskritik Sangha (ABSS), an Indian National Government body.
Internship Experiences
Academic Year 2018-19
Winter Internship: Dec 26, 2018 to Jan 6, 2019 (12 days)
Organization: Persistent Systems Ltd., Pune
Mentor and Supervisor: Mr. Atul Shenoy
Tasks Handled: Development of an application for intra-facility bus/shuttle booking with Agile methodology
Summer Internship: May 20, 2019 to July 04, 2019 (45 days)
Organization: SAP Business One and Hewlett-Packard Alliance, Pune
Mentors: Ms. Richa Tibrewal, Ms. Snehal Bagadiya
Supervisor: Mr. Kunj Tibrewal
Tasks Handled: Development of a Python 3.0 based application for SAP Business One and SAP S/4 HANA ERP
softwares as a WhatsApp and Email blaster plugin to be integrated with live customer base.
Active Memberships
The Google Developers’ Students Club (DSC), VIT Pune
The Google Summer of Code Prospective and Applicants’ Club, India (Prof. Dr.Vijay Barve)
The Google Code In Prospective Club, India (Prof. Dr.Vijay Barve)
The Google Hash Code Prospective Club, India (Prof. Dr.Vijay Barve)
International Electrical and Electronics Engineer Club (IEEE), London, United Kingdom
The Career Research and Development Forum (CRDF), Purdue University, USA (Prof. Milind Patwardhan)
Vishwakarma Institute of Technology – The Robotics Forum (VIT-TRF) (Prof. Dr. Harshavardhan Khare)
Akhil Bharatiya Sanskritik Sangha (ABSS)