This document is a resume for Jinank Jain which summarizes their education and qualifications. It outlines their Bachelor of Technology degree from IIT Jodhpur with excellent grades, as well as internship experiences developing web browser security tools and finite element methods. Their technical skills include proficiency in C++, C, PHP and experience with Java, Python and JavaScript. They have contributed to open source projects, published papers, and held leadership roles related to programming and web development at IIT Jodhpur.
Concept extraction from the web of things (3)Amélie Gyrard
Mahda Noura, Amelie Gyrard, Sebastian Heil and Martin Gaedke. Concept extraction from the web of things knowledge bases. International Conference WWW/Internet. 21-23 October 2018, Budapest, Hungary,
Paper: http://knoesis.org/node/2913
Semantic web technologies are a major driver for semantic interoperability in IoT-generated data by using shared vocabularies in an ontology-driven approach. While there is a growing interest in standardization of ontologies for IoT, there is still a lack of common agreement for a specific IoT ontology. Numerous concepts and relations have been designed within existing ontologies to handle different features of IoT data. However, there are many redundant and overlapping concepts designed within existing standardizations and groups. We found that new ontologies constantly redesign the same concepts in IoT. Therefore, it is a challenge to reuse and unify these different IoT ontologies with redundant concepts. In this paper, we investigate what are the most used terms within IoT ontologies? We identify the fourteen most popular ontologies within generic IoT and WoT domain. Analysis of popular concepts among these ontologies allows to automatically rank the knowledge. This work will enable guiding ontology engineers to re-use and unify existing ontologies, a required step to achieve semantic interoperability. Moreover, this work could contribute towards building iot.schema.org.
Keynote WFIoT2019 - Data Graph, Knowledge Graphs Ontologies, Internet of Thin...Amélie Gyrard
Keynote “Trends on Data Graphs & Security for the Internet of Things”
(Extended Version) #WF-IoT World Forum Internet of Things
Workshop on #Security and #Privacy for #InternetofThings and Cyber-Physical Systems #CPS
#Security #Toolbox #Attacks and #Countermeasures #STAC
#Security #KnowledgeGraphs #Ontologies
Speaker: Dr. Ghislain Atemezing(Research & Development Director, MONDECA, Paris, France) @gatemezing
Credits: Dr. Amelie Gyrard (Kno.e.sis, Wright State University, Ohio, USA)
Data has always been used in every company irrespective of its domain to improve the operational
efficiency and the products themselves. However, analyzing and extracting information from “Big Data”
is the next revolution in technology, since previously unknown nuggets of information are now made
visible. In fact, over 90% of the data available in the world has been generated in the last two years.
“Big Data” analytics has become the next hot topic for most companies - from financial institutions to
technology companies to service providers. Likewise in software engineering, data collected about the
development of software, the operation of the software in the field, and the users feedback on software
have been used before. However, collecting and analyzing this information across hundreds of thousands
or millions of software projects gives us the unique ability to reason about the ecosystem at large, and
software in general. At no time in history has there been easier access to extremely powerful
computational resources as it is today, thanks to the advances in cloud computing, both from the
technology and business perspectives. Therefore, it is easier today than ever before to analyze big data.
In this technical briefing, we will present the state-of-the-art with respect to the research carried out in the
area of big data analytics in software engineering research. We will present the research along three
dimensions:
1) What are the software engineering problems being solved? Examples of problems include: How
much source code is newly written and how much is reused from past projects? Can we
recommend best practices to developers by observing the development of software among
hundreds of thousands of software projects?
2) What are the datasets that are being used? Examples of my datasets include: all the mobile apps
in the Google Play store, all of the world's Open Source projects, and hundreds of gigabytes of
execution logs. Such large datasets provide us with a unique view into the SE field.
3) What are the tools and techniques available to analyze the large datasets? We intend to present
generic software solutions that have been applied to big datasets in other areas of research, and
the tools and techniques created by software engineering researchers.
In the end we will present the challenges inherently present in large datasets - volume, variety, velocity,
and veracity. Such challenges often complicate the analysis of the data and can invalidate the
interpretation of the results. We will conclude with the future opportunities that are present in big data
analytics for software engineering research.
Waseda Super Global University Program and Collaboration in Software PatternsHironori Washizaki
Hironori Washizaki, "Waseda Super Global University Program and Collaboration in Software Patterns", Invited talk at AsianPLoP 2016: 5th Asian Conference on Pattern Languages of Programs, February 24, 2016, Taipei, Taiwan
Concept extraction from the web of things (3)Amélie Gyrard
Mahda Noura, Amelie Gyrard, Sebastian Heil and Martin Gaedke. Concept extraction from the web of things knowledge bases. International Conference WWW/Internet. 21-23 October 2018, Budapest, Hungary,
Paper: http://knoesis.org/node/2913
Semantic web technologies are a major driver for semantic interoperability in IoT-generated data by using shared vocabularies in an ontology-driven approach. While there is a growing interest in standardization of ontologies for IoT, there is still a lack of common agreement for a specific IoT ontology. Numerous concepts and relations have been designed within existing ontologies to handle different features of IoT data. However, there are many redundant and overlapping concepts designed within existing standardizations and groups. We found that new ontologies constantly redesign the same concepts in IoT. Therefore, it is a challenge to reuse and unify these different IoT ontologies with redundant concepts. In this paper, we investigate what are the most used terms within IoT ontologies? We identify the fourteen most popular ontologies within generic IoT and WoT domain. Analysis of popular concepts among these ontologies allows to automatically rank the knowledge. This work will enable guiding ontology engineers to re-use and unify existing ontologies, a required step to achieve semantic interoperability. Moreover, this work could contribute towards building iot.schema.org.
Keynote WFIoT2019 - Data Graph, Knowledge Graphs Ontologies, Internet of Thin...Amélie Gyrard
Keynote “Trends on Data Graphs & Security for the Internet of Things”
(Extended Version) #WF-IoT World Forum Internet of Things
Workshop on #Security and #Privacy for #InternetofThings and Cyber-Physical Systems #CPS
#Security #Toolbox #Attacks and #Countermeasures #STAC
#Security #KnowledgeGraphs #Ontologies
Speaker: Dr. Ghislain Atemezing(Research & Development Director, MONDECA, Paris, France) @gatemezing
Credits: Dr. Amelie Gyrard (Kno.e.sis, Wright State University, Ohio, USA)
Data has always been used in every company irrespective of its domain to improve the operational
efficiency and the products themselves. However, analyzing and extracting information from “Big Data”
is the next revolution in technology, since previously unknown nuggets of information are now made
visible. In fact, over 90% of the data available in the world has been generated in the last two years.
“Big Data” analytics has become the next hot topic for most companies - from financial institutions to
technology companies to service providers. Likewise in software engineering, data collected about the
development of software, the operation of the software in the field, and the users feedback on software
have been used before. However, collecting and analyzing this information across hundreds of thousands
or millions of software projects gives us the unique ability to reason about the ecosystem at large, and
software in general. At no time in history has there been easier access to extremely powerful
computational resources as it is today, thanks to the advances in cloud computing, both from the
technology and business perspectives. Therefore, it is easier today than ever before to analyze big data.
In this technical briefing, we will present the state-of-the-art with respect to the research carried out in the
area of big data analytics in software engineering research. We will present the research along three
dimensions:
1) What are the software engineering problems being solved? Examples of problems include: How
much source code is newly written and how much is reused from past projects? Can we
recommend best practices to developers by observing the development of software among
hundreds of thousands of software projects?
2) What are the datasets that are being used? Examples of my datasets include: all the mobile apps
in the Google Play store, all of the world's Open Source projects, and hundreds of gigabytes of
execution logs. Such large datasets provide us with a unique view into the SE field.
3) What are the tools and techniques available to analyze the large datasets? We intend to present
generic software solutions that have been applied to big datasets in other areas of research, and
the tools and techniques created by software engineering researchers.
In the end we will present the challenges inherently present in large datasets - volume, variety, velocity,
and veracity. Such challenges often complicate the analysis of the data and can invalidate the
interpretation of the results. We will conclude with the future opportunities that are present in big data
analytics for software engineering research.
Waseda Super Global University Program and Collaboration in Software PatternsHironori Washizaki
Hironori Washizaki, "Waseda Super Global University Program and Collaboration in Software Patterns", Invited talk at AsianPLoP 2016: 5th Asian Conference on Pattern Languages of Programs, February 24, 2016, Taipei, Taiwan
Profile Summary
14 years of Total Experience in Python Development
10 Years in Leading Teams, Scrum Master and Management
8 Years of experience as Solution Architect in multiple projects.
Open source Contributor in Python Software Foundation
Research & Development, Proof of Concepts, SDLC process
Gathering information from Clients directly and Reporting
Agile Methodology and Cloud Technology SME
Corporate Trainer for Python, Flask and Agile
Conducting Interviews for Python, Linux, C++
Domain Exposure: Banking, Finance, Digital, Network Security, Energy, CFD,
HPSA, Server Automation
Want to move your career forward? Looking to build your leadership skills while helping others learn, grow, and improve their skills? Seeking someone who can guide you in achieving these goals?
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Watch this to learn:
* Overview of the PMISSC Mentoring Program: Mission, vision, and objectives.
* Benefits for Volunteer Mentors: Professional development, networking, personal satisfaction, and recognition.
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* How to Get Involved: Steps to participate and resources available for support throughout the program.
Learn how you can make a difference in the project management community and take the next step in your professional journey.
About Hector Del Castillo
Hector is VP of Professional Development at the PMI Silver Spring Chapter, and CEO of Bold PM. He's a mid-market growth product executive and changemaker. He works with mid-market product-driven software executives to solve their biggest growth problems. He scales product growth, optimizes ops and builds loyal customers. He has reduced customer churn 33%, and boosted sales 47% for clients. He makes a significant impact by building and launching world-changing AI-powered products. If you're looking for an engaging and inspiring speaker to spark creativity and innovation within your organization, set up an appointment to discuss your specific needs and identify a suitable topic to inspire your audience at your next corporate conference, symposium, executive summit, or planning retreat.
About PMI Silver Spring Chapter
We are a branch of the Project Management Institute. We offer a platform for project management professionals in Silver Spring, MD, and the DC/Baltimore metro area. Monthly meetings facilitate networking, knowledge sharing, and professional development. For event details, visit pmissc.org.
New Explore Careers and College Majors 2024.pdfDr. Mary Askew
Explore Careers and College Majors is a new online, interactive, self-guided career, major and college planning system.
The career system works on all devices!
For more Information, go to https://bit.ly/3SW5w8W
The Impact of Artificial Intelligence on Modern Society.pdfssuser3e63fc
Just a game Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?Assignment 3
1. What has made Louis Vuitton's business model successful in the Japanese luxury market?
2. What are the opportunities and challenges for Louis Vuitton in Japan?
3. What are the specifics of the Japanese fashion luxury market?
4. How did Louis Vuitton enter into the Japanese market originally? What were the other entry strategies it adopted later to strengthen its presence?
5. Will Louis Vuitton have any new challenges arise due to the global financial crisis? How does it overcome the new challenges?
1. Jinank Jain
Computer Science and Engineering – B. Tech, IIT Jodhpur
Ph: +91-7597846108 | GitHub: @jinankjain | Email- ug201210017@iitj.ac.in
Education
July 2012 – Current Bachelor of Technology, Computer Science and Engineering
IIT Jodhpur
CURRENT GPA - 9.52/10 (Department Rank 2)
April 2011 – July
2012
Class 12, All India Senior School Certificate Examination
B.R. Birla Public School
Aggregate Percentage Marks – 92.6%
April 2009 – July
2010
Class 10, All India Secondary School Examination
Saint Paul’s School
Aggregate CGPA -9.6/10
Internships
May-July 2015
(Dr. Deepak
Garg)
Max Plank
Institute For
Software Systems
Saarbrucken
(Germany)
Sensitive User Information Flow Control In Browsers
Developed a taint tracking framework in Webkit (Safari) Browser Engine to track flows
of sensitive information at fine granularity.
Enforcing developer and user-provided data protection policies on these flows via a
robust declassification mechanism.
Efficient dynamic information flow tracker for all of ECMAScript 5, the event loop of the
browser and all of the DOM up to Level 3
Exposed various new API calls at the Javascript Interpreter Level.
May-July 2014
(Dr. Rajen Sinha)
IIT Guwahati
Finite Element Method For Parabolic Interface Problem
Developed algorithm for various time discretization schemes such as Backward Euler,
Crank Nicolson and Two Point Backward Euler for parabolic interface problem.
Used various sort of bisection and refinement algorithm like RGB refinement and used
adaptivity for further refinement.
Verified optimality of various types of estimators such as space, time, L2
and H1
estimators and their experimental order of convergence.
December 2014
(Dr. Bhiksha Raj
and Dr. Rita
Singh)
NITK- Carnegie Melon University Joint Winter School
Developed an algorithm for emotion detection from text using Word2Vec Tool.
Used various heuristics approach and classifier to distinguish various sort of emotions.
Worked upon Caffee a Neural Networks Framework.
Projects
Open Source
Contribution
Mozilla.Org
Fixed various bugs for Firefox JavaScript Engine and have level one access in the
community vouched by a senior member of the community and name also there on the
credits page of Firefox.
Other Organizations: Servo Browser Engine, PyDy and many more
B.Tech Thesis
(Dr. Deepak
Garg)
Information Flow Control In Internet Of Things
Developing a robust system where user could define policies to protect their sensitive
information.
Developing some sort of declassification mechanism where user could define which
information could be released on the network or not.
Aug 2014
( Dr. G. Harit)
Carrom Board (In Python)
A multiplayer game with all real time physics defined for collision between striker and pegs
and motion of striker and peg follow all Newton’s Laws of Motion with proper friction for
deceleration.
Used PyGame module for visual simulation of Carrom Board.
Aug 2014
(Dr. G.Harit)
Train Traffic Control Simulator (In Python)
Automatically allocated time and platform for train which come on station. Used PyQt
Module for visual simulation of train movement.
Used socket for communicating between trains and central server. Each train
communicated with server in separate thread.
2. Nov 2014
(Dr. G.Harit)
Simulation of Elevator system using an energy efficient algorithm
Complete Elevator System was implemented in Python using Tkinter.
Algorithms schedules user request on real time in an energy efficient manner.
Complete automated test cases were written for every worst case scenario.
April 2015
(Dr. V.
Ramana)
Codejudge (in Django and Node.Js)
A customized online judge which is used for hosting competitive programming contest.
Used various self-load balancing techniques so that it could handle large amount of
request without failure.
January 2015
(Dr. G.Harit)
Implementation of Unix Shell in C
Supports pipes - could run various commands using pipes.
Input and Output Redirection support to or from a external file.
Run processes background or foreground with the help &
January 2015
(Microsoft)
Microsoft Hackathon Code.Fun.Do
Developed a game for windows phone named Twin Trouble during an 24 hour Hackathon.
Game was developed in JS, HTML and CSS. IDE used for development was Visual Studio
March 2015
(Dr. G.Harit)
Real Time Process Scheduler
Developed a library in C++ for forking dummy process and run them when required
according to any scheduling algorithm.
Algorithms like FCFS, SJF, RR, and Multi Level Feed Back Queue were available in the library.
APRIL 2015
(Dr. K.R. C)
Intelligent Spell Corrector
Context based smart spell corrector using the semantics associated with the content.
Publications
June 2015 Journal of Scientific Computing: A Posteriori Error Analysis of Two-step Backward Differentiation Formula
Finite Element Approximation for Parabolic Interface Problems. Link
Achievements
2015 Awarded DAAD Fellowship in 2015 one among 200 selected student over Indian Sub Continent.
2014 Awarded NPDE-TCA Fellowship 2014 by IIT Bombay one among 27 selected students all over India.
2013 ACM-ICPC: Our team qualified for the onsite regionals rounds at IIT KGP.
2015 Microsoft Hackcon: Our team ranked #1 in institute and qualified for onsite finals at Hyderabad
2012 Got selected in Top 1% in National Standard Chemistry Olympiad conducted by IAPT
2015 Current Department Rank 2nd
and Institute Rank 3rd
Technical Skills
Programming
Languages
Proficient in: C++, C and PHP
Significance experience with JAVA, Python, JavaScript, HTML, CSS, Matlab and Octave
Dabbled with Ruby and Scala
Specific
Technolgy
Client Side: AJAX, jQuery, AngularJS
Server Side: Rest Based APIs, Express.JS, Web Sockets, and Google App Engine
Platforms: Node.JS, DJANGO and CakePHP
Databases: MySQL, MongoDB
Tools Version Control : Git
Position of Responsibility
2013-14 Head, Web Development at IGNUS Annual Techno Cult Fest of IIT Jodhpur
2013-14 Coordinator, Programming and Web Development Club at Sci-Tech Council, IIT Jodhpur
2013-14 Student Guide at Counseling Service – IIT Jodhpur
2015-16 Coordinator, Web Development at Career Development Cell of IIT Jodhpur