He is a Postdoctorate from Tel Aviv University, Israel, and a former Visting Professor at LAMBDA Lab, Tel Aviv University, Israel.
He is the recipient of the Young Faculty Research Fellowship from the Ministry of Electronics & Information Technology, Govt. of India. He has more than twenty years of academic experience, including six years at D.A.V College Amritsar.
He has earned his B.Tech from SLIET and MS from BITS Pilani. He is a doctorate in the field of NLP from Thapar University and a post-doctorate from Tel Aviv University, Israel.
He has published more than 100 research papers and articles in Journals, Conferences,
He is a winner of the Gold Medal at the International competition UNL Olympiad II
He is a well-known author and published textbooks in Databases and Data Mining. His latest book, “Data Mining and Data Warehousing: Principles and Practical Techniques,” was Published by Cambridge University Press in 2019. He is the author of popular books like “Simplified Approach to DBMS”, “Simplified Approach to Visual Basic” and “Simplified Approach to Oracle,” and “NoSQL in a Day”.
He has handled research projects of more than one crore rupees sponsored by International and National funding agencies. He is acting as Principal Investigator of DST Funded research project on “Automatic Generation of Sign Language from Hindi Text for Communication and Education of Hearing Impaired people”.
He has completed the Royal Academy of Engineering (UK) funded research project on “Innovative Research in Pedagogy with Mini-MOOCs blended with
He is passionate about teaching the masses through modern platforms like MOOCs. He runs multiple online courses over the Udemy platform and has more than 30,000 students. He is also running his YouTube Channel, “Parteek Bhatia: Simplifying Computer Education,” for sharing video sessions on Machine Learning, Big Data, DBMS, SQL, PL/SQL, and NoSQL.
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He has a
Books
Data Mining and Data Warehousing
Written in lucid language, this valuable textbook brings together fundamental concepts of data mining, machine learning and data warehousing in a single volume. Topics are discussed in detail with their practical implementation using Weka and R language data mining tools.
Table of Contents
Data Mining and Data Warehousing Preface Acknowledgment Dedication 1. Beginning with machine learning 2. Introduction to data mining 3. Beginning with Weka and R language 4. Data pre-processing 5. Classification 6. Implementing classification in Weka and R 7. Cluster analysis 8. Implementing clustering with Weka and R 9. Association mining 10. Implementing association mining with Weka and R 11. Web mining and search engine 12. Operational data store and data warehouse 13. Data warehouse schema 14. Online analytical processing 15. Big data and NoSQL Reference Index. |
Simplified Approach to DBMS
One of the best selling book, which explains each and every concept of DBMS in a simplified way. With ample amount of theory and practical questions, it has chapters on SQL and NOSQL as well. Latest topics like data warehousing have also been discussed in detail.
Table of Contents
Simplified approach to DBMS 1. Fundamentals of Database Management System 2. The architecture of Database Management System 3. Data Models 4. Relational Database Management System 5. Relational Algebra and Calculus 6. Entity-Relationship Model 7. Conversion of ER Diagrams to Tables 8. Normalization for refinement of data 9. Physical Database design 10. Transaction Management 11. Concurrency Control 12. Security and Integrity of data 13. Recovery of data 14. Distributed Database 15. Object-Oriented Databases and expert system 16. DBTG Model 17. Data Warehouse and Data mining 18. No-SQL Database 19. Enterprise Database Products 20. Beginning with SQL 21. Invoking SQL* Plus 22. Performing basic SQL operations 23. Basic SELECT statement 24. Inbuilt functions 25. Grouping of data 26. Joining of tables 27. Sub Queries 28. Managing Tables 29. Database objects, DCL and TCL statements 30. Pl/SQL Fundamentals and its statements 31. Error Handling 32. Cursor Management 33. Subprograms and packages 34. Database triggers 25. Advanced Topics Index |
Beginning with SQL
It covers the creation of tables, joining of tables, a grouping of data, subqueries, etc. in a simplified manner to train learners on basic concepts quickly and better prepare them for placements and interviews.
PL/SQL for beginners
Covers PL/SQL in a simplified manner and specially designed in kindle format to facilitate learning anywhere, any time from smartphone
.
NOSQL in a day
It covers NoSQL, Its models, and Big Data in a simplified manner to train learners on advanced concepts quickly and better prepare them for placements and interviews. It is specially designed in kindle format to facilitate learning anywhere, anytime from smartphone.
Designing Databases with ER Model
This book on Designing Databases with ER Model designed to better equip the learners for their University examination and placement interviews. This book is aimed at beginners, but it will give you enough information to get mastery on the subject.
This book covers the need of ER Model, Basics Constructs of ER Models, ER Notations, Concepts of Total and Partial Participation, Strong and Weak Entity Sets, Specialization, Generalization and Aggregation. .
Free Course on Udemy
YouTube Channel
To learn anywhere any time and your own place
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Softwares developed under various research projects
Automatic Text to Sign Language Generation System:
Website, Android Application and a Chrome Extension
For experiencing the online ISL portal, click:
For experiencing Sanket app on your Android Phone, click:
Punjabi WordNet Project
Punjabi WordNet is an online lexical resource. It is more than a conventional Punjabi dictionary. It is a combination of a dictionary and a thesaurus and much more. It provides information about a word from different perspectives with intra-word relationships.
A user can search for a Punjabi word and get its meaning. In addition, it gives the grammatical category namely noun, verb, adjective or adverb for the word being searched. Apart from the category for each sense, the Punjabi WordNet also provides information about the meaning of the word, example of the word usage, its synonyms (words with similar meanings), its antonyms and semantic and lexical relations of the selected word.
Hindi sentiment analysis system
This system provides real-time sentiments of input Hindi sentences. This system performs the sentiment analysis at three levels such as aspect, sentence and document level. At aspect level, the system accepts the input sentence and pre-processes it using Hindi dependency parser. The system extracts its relevant aspects and sentiment-bearing words and generates the dependency graph. Finally, the system assigns the polarity of sentiment word to its corresponding aspect on the basis of minimum path distance.
At the sentence level, the system takes the sentence as input and computes its polarity based on ML algorithms. The system is also able to perform sentiment analysis of tweets. It accepts the tweets on the basis of user-defined hash-tag and computes the overall polarity of hash-tag using machine learning and deep learning algorithms. This is system also has the facility to transliterate the input Hindi text using Google transliteration API.
Research Scholars
To Contact:
Dr. Parteek Bhatia
Professor
Deptt of Computer Sc & Engg
Thapar Institute of Engineering and Technology, Patiala
Phone (Office) :0175-2393374
Phone (Res) :0175-2393476
Mobile : 09876175046
E-mail: parteek.bhatia@thapar.edu
parteek.bhatia@gmail.com
Visiting Professor, Department of Computer Science,
Whitman College, Walla Walla, WA, USA.
kumarp@whitman.edu