Akshit Arora is a final year computer engineering student at Thapar University in India. He has conducted research internships at IIT Mandi and IIT Delhi focused on artificial intelligence, machine learning, and data analytics. Some of his projects include developing an interactive landslide simulation tool and analyzing politician tweets to detect policy opinions. He has published papers and presented his work at several conferences. Arora is proficient in programming languages like Python and skills like data mining, machine learning, and software engineering.
Employing Simple Connected Pattern Array Grammar for Generation and Recognition of Connected Patterns on an Image Neighborhood
1Vishnu Murthy. G, 2V. Vijaya Kumar, 3B.V. Ramana Reddy
1,2Anurag Group of Institutions, Hyderabad, AP,India.
3Mekapati Rajamohan Reddy Institute of Technology and Science, Udayagiri, AP,India.
Overwriting Grammar Model to Represent 2D Image Patterns
1Vishnu Murthy. G, 2Vakulabharanam Vijaya Kumar
1,2Anurag Group of Institutions, Hyderabad, AP,India.
Texture Classification Based on Binary Cross Diagonal Shape Descriptor Texture Matrix (BCDSDTM)
1P.Kiran Kumar Reddy, 2Vakulabharanam Vijaya Kumar, 3B.Eswar Reddy
1RGMCET, Nandyal, AP, India, 2Anurag Group of Institutions, Hyderabad, AP, India
3JNTUA College of Engineering, India.
https://www.youtube.com/watch?v=uBijGs1NJCE&list=PLqJzTtkUiq54DDEEZvzisPlSGp_BadhNJ&index=13
Semantic and AI research communities have a strong body of work focuses on extracting facts from the web automatically and represent them in a graph based representation. NELL and Knowledge Vault are two prominent knowledge graphs of that kind. However, due to the inherent noise of the web the resulting knowledge also contain noisy data. With the huge volume of the facts extracted from the web, it is impractical to use traditional reasoning approaches to capture the inconsistencies in these knowledge graphs. This work addresses this issue by using semantics in the form of schema knowledge together with statistics in the form of confidence value of facts derived from information extraction techniques. They use probabilistic soft logic which is a recently introduced statistical learning approach which allows to assign weights to the logical statement and their dependencies. The weighted soft logic rules are represented in a probabilistic graphical model with their dependencies to identify the different interpretations of a KG and pick the most consistent KG.
References
Pujara, Jay, et al. "Using Semantics and Statistics to Turn Data into Knowledge." AI Magazine 36.1 (2015): 65-74.
Pujara, Jay, et al. "Knowledge graph identification." International Semantic Web Conference. Springer Berlin Heidelberg, 2013.
Lise Getoor “Combining Statistics and Semantics to Turn Data into Knowledge” ESWC Keynote 2015
Industrial Attachment Program (IAP) ReportAkshit Arora
Project report for IAP, project developed for automating the Industrial Attachment Program of Dept. of Mechanical Engineering at Thapar University. Developed under the guidance of Dr. Ajay Batish (Professor at Mechanical Engg. Dept, TU)
Android Capstone Project, Final Deliverable DocumentationNate Betz
This is the deliverable documentation I created describing my app developed for the final capstone project of Coursera's Mobile Cloud Computing with Android Specialization. It was submitted along with a video walkthrough of the app and the project source code (available upon request).
Employing Simple Connected Pattern Array Grammar for Generation and Recognition of Connected Patterns on an Image Neighborhood
1Vishnu Murthy. G, 2V. Vijaya Kumar, 3B.V. Ramana Reddy
1,2Anurag Group of Institutions, Hyderabad, AP,India.
3Mekapati Rajamohan Reddy Institute of Technology and Science, Udayagiri, AP,India.
Overwriting Grammar Model to Represent 2D Image Patterns
1Vishnu Murthy. G, 2Vakulabharanam Vijaya Kumar
1,2Anurag Group of Institutions, Hyderabad, AP,India.
Texture Classification Based on Binary Cross Diagonal Shape Descriptor Texture Matrix (BCDSDTM)
1P.Kiran Kumar Reddy, 2Vakulabharanam Vijaya Kumar, 3B.Eswar Reddy
1RGMCET, Nandyal, AP, India, 2Anurag Group of Institutions, Hyderabad, AP, India
3JNTUA College of Engineering, India.
https://www.youtube.com/watch?v=uBijGs1NJCE&list=PLqJzTtkUiq54DDEEZvzisPlSGp_BadhNJ&index=13
Semantic and AI research communities have a strong body of work focuses on extracting facts from the web automatically and represent them in a graph based representation. NELL and Knowledge Vault are two prominent knowledge graphs of that kind. However, due to the inherent noise of the web the resulting knowledge also contain noisy data. With the huge volume of the facts extracted from the web, it is impractical to use traditional reasoning approaches to capture the inconsistencies in these knowledge graphs. This work addresses this issue by using semantics in the form of schema knowledge together with statistics in the form of confidence value of facts derived from information extraction techniques. They use probabilistic soft logic which is a recently introduced statistical learning approach which allows to assign weights to the logical statement and their dependencies. The weighted soft logic rules are represented in a probabilistic graphical model with their dependencies to identify the different interpretations of a KG and pick the most consistent KG.
References
Pujara, Jay, et al. "Using Semantics and Statistics to Turn Data into Knowledge." AI Magazine 36.1 (2015): 65-74.
Pujara, Jay, et al. "Knowledge graph identification." International Semantic Web Conference. Springer Berlin Heidelberg, 2013.
Lise Getoor “Combining Statistics and Semantics to Turn Data into Knowledge” ESWC Keynote 2015
Industrial Attachment Program (IAP) ReportAkshit Arora
Project report for IAP, project developed for automating the Industrial Attachment Program of Dept. of Mechanical Engineering at Thapar University. Developed under the guidance of Dr. Ajay Batish (Professor at Mechanical Engg. Dept, TU)
Android Capstone Project, Final Deliverable DocumentationNate Betz
This is the deliverable documentation I created describing my app developed for the final capstone project of Coursera's Mobile Cloud Computing with Android Specialization. It was submitted along with a video walkthrough of the app and the project source code (available upon request).
EU: Refrigerated Vessels (Ships) – Market Report. Analysis and Forecast to 2020IndexBox Marketing
IndexBox Marketing has just published its report: “EU: Refrigerated Vessels (Ships) - Market Report. Analysis And Forecast To 2020”. This report focuses on the EU ship market, providing a comprehensive analysis and the most recent data on its market size and volume, EU trade, price dynamics, domestic production, and turnover in the industry. The market trends section reveals the main issues and uncertainties concerning the industry, while the medium-term outlook uncovers market prospects. The attractivity index (IB Index) summarizes the source of existing opportunities as they appear in this market, as well as an interpretation of the trade figures.
Capstone Report - Industrial Attachment Program (IAP) Evaluation PortalAkshit Arora
Capstone Project Report on IAP Evaluation Portal submitted in partial fulfillment of the requirements for the award of the degree of Bachelor of Engineering in Computer Science and Engineering Department by:
Abhinav Garg (101303004), Arush Nagpal (101303034), Akshit Arora (101303012) and Chahak Gupta (101303041)
Under the supervision of:
Dr. Prashant Singh Rana, Assistant Professor, CSED (http://psrana.com) and Dr. Ajay Batish, Professor, MED (www.thapar.edu/index.php/mechanical-engineering-department/faculty?pid=153&sid=387:dr-ajay-batish)
Thapar University,
Patiala, Punjab, India - 147004.
December 2016
Educate to elevate the students and make them prepare for the industrial requirements of IT Industry and all their future endeavors. And also interested both in academic and research sector for self-development.
Please Read on to find my Work Experience/Skills/Education etc.
If you think i am suitable for the position which is vacant in your company. just mail me up.
KISHAN J
This my currently updated carricular veta(Resume). I am pursuing Batchlor of technology in electronics and communication engineering at Birla Institute of applied sciences Nainital. I did my schooling from city montessori inter college lakhimpur kheri up. I have started my primari education from PRIMARI SCHOOL GAURIYA. I have won several awards i.e.- Young scientist award, Bal ratna award, Vigyan Ratna award, District scientist award. UP yuva ratna award. I have got prize by Dr.APJ Abdul kalm sir- Young scientist award 2013.
Organizational behavior presentation - Origins of IntelligenceAkshit Arora
Based on the following links:
http://bigthink.com/big-think-tv/the-origin-of-intelligence
https://www.ted.com/talks/simon_sinek_how_great_leaders_inspire_action
Asynchronous Processors - The Clock less FutureAkshit Arora
The synchronous processor chips of computers use a clock to time the entire chip. But this clock is also the cause of speed and power consumption headaches. Here is how an asynchronous chip overcomes these problems by eliminating the clock altogether.
A presentation by Akshit Arora and Ankit Goyal for Computer Science Architecture (UCS401) at Thapar University, Patiala
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
This comprehensive program covers essential aspects of performance marketing, growth strategies, and tactics, such as search engine optimization (SEO), pay-per-click (PPC) advertising, content marketing, social media marketing, and more
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. AkshitAroraFINAL YEAR · B.E. COMPUTER ENGINEERING
Thapar University, Patiala, India
(+91) 76960 61995 | akshit.arora1995@gmail.com | akshitarora.github.io/home/ | akshitarora | akshitarora1995
Education
Thapar University Patiala, India
B.E. IN COMPUTER ENGINEERING | CUMULATIVE GPA: 8.28 / 10 Jul 2013 - Jul 2017 (Expected)
• Research Focus: Artificial Intelligence, Machine Learning, Cognitive Science
Swami Sant Dass Public School (CBSE) Jalandhar, India
A.I.S.S.C.E. (XII, 2013): 92.8%, A.I.S.S.E. (X, 2011): 9.4 / 10 CGPA Mar 2009 - Apr 2013
Internships and Projects
Applied Cognitive Science (ACS) Lab, Indian Institute of Technology (IIT) Mandi Mandi, India
RESEARCH INTERN Dec 2016 - Present
• Development of human-performance modeling framework via physiological and signal processing tools for visual cognitive enhancement in
IVD, VR and AR paradigms.
• The project is funded by Defence Research and Development Organisation (DRDO), India. Working under supervision of Dr. Varun Dutt.
• Technologies used: Unity 3D, C#, NeuLog Sensors, Vuforia, Google Cardboard, ARToolkit
Data Analytics and Intelligence Research Group, IIT Delhi New Delhi, India
RESEARCH INTERN | GITHUB: HTTPS://GITHUB.COM/AKSHITARORA/POLITICIAN_IE May 2016 - Jun 2016
• Researched on various approaches in Natural Language Processing to detect opinion.
• Under supervision of Dr. Maya Ramanath, developed heuristics to determine whether a politician supports / opposes a public policy by
analyzing their tweets using Python.
• Python packages used: Scrapy, BeautifulSoup, JSON, NLTK, Twitter API, Requests.
ACS Lab, IIT Mandi Mandi, India
RESEARCH INTERN | LINK: HTTP://PRATIK.ACSLAB.ORG Jun 2015 - Present
• Developed a web-based research tool, Interactive Landslide Simulator (I.L.S.), to balance public risk perceptions and how people at risk could
adapt, to and mitigate the landslides in their neighbourhood. Working under the guidance of Dr. Varun Dutt.
• Projectselectedfor3oralpresentationsandajournalmanuscripthasbeensubmittedtoJournalofRiskAnalysisandiscurrentlyunderreview.
• Technologies used: PHP, MySQL, Twitter Bootstrap, Qualtrics, Palisade Decision Tools, Monte Carlo Simulations, Academic Prolific.
Computer Science and Engineering Department (CSED), Thapar University Patiala, India
PROJECT ASSISTANT | TEMPORARY LINK: HTTP://ONLINEHOSTELJ.IN/PHD Aug 2015 - Dec 2015
• Developed an online portal for maintaining Ph.D. student records and management of URB meetings.
• Worked under the guidance of Dr. Parteek Bhatia. Project about to be used live for upcoming Ph.D. students at the department.
• Technologies used: PHP, MySQL and Twitter Bootstrap.
Publications and Oral Presentations
1. Chaturvedi P, Arora A, Dutt V. Interactive Simulation Tool for Improving Awareness and Decision Making on Landslide Risks. Journal Paper
(Manuscript under review with Journal of Risk Analysis)
2. Chaturvedi P, Arora A, Dutt V. Interactive Landslide Simulator: A Tool for Landslide Risk Assessment and Communication. Advances in Applied
Digital Human Modeling and Simulation (Springer Books). 481: 231-243. Jul 2016. Paper.
3. ”Interactive landslide simulator: A tool for landslide risk and damage assessment” (P. Chaturvedi, A. Arora and V. Dutt). Applied Human Factors
and Ergonomics, Jul 2016, Orlando, Florida, USA. Oral Presentation
4. ”Influence of motivational factors on hackers’ and analysts’ decisions in dynamic security games” (Z. Maqbool, V. S. C. Pammi and V. Dutt).
Applied Human Factors and Ergonomics, Jul 2016, Orlando, Florida, USA. Oral Presentation
5. ”Cyber-security: Role of deception in cyber-attack detection” (P. Aggarwal, C. Gonzalez and V. Dutt). Applied Human Factors and Ergonomics,
Jul 2016, Orlando, Florida, USA. Oral Presentation
6. ”Interactive landslide simulator: A tool for landslide risk and damage assessment” (P. Chaturvedi, A. Arora and V. Dutt). 25th Convention of
National Academy of Psychology, Feb 2016, Allahabad, India. Oral Presentation
LAST UPDATED: JANUARY 22, 2017
2. Academic Achievements
Jul 2016 Received travel fellowship to attend Applied Human Factors and Ergonomics 2016 conference
from Thapar University and IIT, Mandi
Orlando, USA
2013-15 Co-Convener at International Forum for Leadership and Sustainability (social-startup) for 2
years Successfully organized awareness campaigns and creativity competitions for underprivileged
students
Patiala, India
2015 Secured 3rd position in ‘Capture The Flag‘ competition Cyber Security competition among 15+
colleges from India organized by TU
Patiala, India
2014 Attended International Workshop on Machine Learning Algorithms and Data Analytics orga-
nized by IEEE
Patiala, India
2014 Design Team Member designed posters, flex and artworks for Aranya 2014 (techno-cultural festival
at TU)
Patiala, India
2011 NASA CloudSat member Collecting ground data for NASA’s CloudSat mission at school. Jalandhar, India
Additional Skills and Relevant Coursework
Programming Languages: C, C++, C#, Python, MATLAB, PHP, HTML, CSS, JavaScript, MySQL, LATEX
Frameworks / Packages / Open Source Libraries: Twitter Bootstrap, CodeIgniter, Django, Impress JS, Scrapy, BeautifulSoup, JSON, NLTK, Twitter
API, Requests, Tweepy, ARToolkit, Vuforia
Tools / Operating Systems: GitHub, Palisade Decision Tools (@RISK and Evolver), Weka, Windows, Ubuntu, Fedora, macOS, Noobs (Raspberry Pi),
Unity 3D
Coursework: Analysis and Design of Algorithms, Advanced Data Structures, Database Management Systems, Software Engineering, Data Mining
and Warehousing, Artificial Intelligence, Analysis and Design of Information Systems, Natural Language Processing, Theory of Computation,
Operating Systems, Principles of Programming Languages, Web Technologies, Computer Networks, Computer System Architecture
LAST UPDATED: JANUARY 22, 2017