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Dr. Rahul Pradhan

Dr. Rahul Pradhan

  • Assistant Professor
    Institute of Engineering & Technology

  • Department

    Department of Computer Engineering & Applications

  • Experience

    10 Years Teaching/Research experience in the field of Computer Science.

  • Qualifications

    • Ph.D.(CSE): Institute of Engineering and Technology, GLA University, Mathura, U.P, India.
    • M.Tech. (CSE) from GLA University, Mathura, India, in 2014,
    • IIT – GATE in Computer Science in 2012,2013,2017,
    • B.Tech. (IT) from Dr. A.P.J. Abdul Kalam Technical University (APJAKTU) (formerly Uttar Pradesh Technical University), Lucknow U.P., India, in 2009.

     

  • Undergraduate

    Thesis Supervised

  • Awarded/ Completed23

    Working3

  • Projects

  • Thesis Supervised26

    Completed/ Awarded19

    WorkingNIL

International Journal: 08

SCI:01

  • 01Pradhan, R., & Sharma, D. K. (2022). An ensemble deep learning classifier for sentiment analysis on code-mix Hindi–English data. Soft Computing, 1-18. [SCI]

Scopus : 07

  • 01Rahul Pradhan and Dilip Kumar Sharma, “A Framework for Topic Evolution and Tracking their Sentiments with Time” in International Journal of Fuzzy System Applications (IJFSA), IGI Global. Accepted for Publication November 2021. [Scopus (Elsevier)]
  • 02Rahul Pradhan and Dilip Kumar Sharma, "A hierarchical topic modeling approach for short text clustering", In International Journal of Information and Communication Technology (IJICT), Inderscience, Accepted for Publication October 2020. [Scopus (Elsevier)]
  • 03Pradhan, Rahul, and Dilip Kumar Sharma. "TemporalClassifier: Classification of Implicit Query on Temporal Profiles," International Journal of Information Technology and Web Engineering (IJITWE) 10, no.4: 44-66. http://doi.org/10.4018/IJITWE.2015100103
  • 04A. Chaturvedi and R. Pradhan, “Deep learning model for chess game player,” International Journal of Advanced Science and Technology, vol. 29, no. 3, pp. 5288–5298, 2020.
  • 05A. Chaturvedi and R. Pradhan, “A comparison on similarity measures for rating and trust-based algorithms for recommender systems,” International Journal of Advanced Science and Technology, vol. 29, no. 1, pp. 662–670, 2020.
  • 06A. Chaturvedi, A. Tripathi, R. Pradhan, and D. K. Sharma, “An effect of temporal information for trust aware recommender system,” International Journal of Recent Technology and Engineering, vol. 8, no. 1, pp. 231–237, 2019.
  • 07A. Tripathi, R. Pradhan, and A. Chaturvedi, “Plc reducer – a tool to generate possible reductions in coupling at the design level,” International Journal of Recent Technology and Engineering, vol. 7, no. 6, pp. 2036–2042, 2019.

National Conference : 07

  • 01Rahul Pradhan and Dilip Kumar Sharma, “A Frequency Based Approach to Extract Aspect for Aspect Based Sentiment Analysis” in Proceedings of Second International Conference on Computing, Communications, and Cyber-Security (IC4S 2020) organized by KEC, Ghaziabad, India during October 3-4, 2020. [Scopus]
  • 02Rahul Pradhan and Dilip Kumar Sharma, “Survey on Sentiment Analysis for Mix Code Text” in In International Conference on Artificial Intelligence and Sustainable Engineering (AISE-2020) held at NIT GOA, India, during January 18-20, 2021 [Scopus].
  • 03Pradhan, R., Tiwary, P., Agarwal, P., & Sharma, D. K. (2021, September). Pursuit for Authentic News using Machine Learning Models. In 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO) (pp. 1-5). IEEE.
  • 04Agarwal A., Pradhan R. (2021) Bees Classifier Using Soft Computing Approaches. In: Gupta D., Khanna A., Bhattacharyya S., Hassanien A.E., Anand S., Jaiswal A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1166. Springer, Singapore. https://doi.org/10.1007/978-981-15-5148-2_64
  • 05R. Pradhan, V. Khandelwal, A. Chaturvedi and D. K. Sharma, "Recommendation System using Lexicon Based Sentimental Analysis with collaborative filtering," 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC), 2020, pp. 129-132, doi: 10.1109/PARC49193.2020.236571.
  • 06R. Pradhan, M. Aggarwal, D. Maheshwari, A. Chaturvedi and D. K. Sharma, "Diabetes Mellitus Prediction and Classifier Comparitive Study," 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC), 2020, pp. 133-139, doi: 10.1109/PARC49193.2020.236572.
  • 07Pradhan R., Chaturvedi A., Tripathi A., Sharma D.K. (2020) A Review on Offensive Language Detection. In: Kolhe M., Tiwari S., Trivedi M., Mishra K. (eds) Advances in Data and Information Sciences. Lecture Notes in Networks and Systems, vol 94. Springer, Singapore. https://doi.org/10.1007/978-981-15-0694-9_41

Book Chapters: 02

  • 01Pradhan, Rahul, and Dilip Kumar Sharma. "TempClass: Implicit Temporal Queries Classifier." In Handbook of Research on Contemporary Perspectives on Web-Based Systems. edited by Elçi, Atilla, 188-212. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5384-7.ch010
  • 02Pradhan, Rahul, and Dilip Kumar Sharma. "TemporalClassifier: Classification of Implicit Query on Temporal Profiles." In Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications. edited by Management Association, Information Resources, 1143-1165. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5191-1.ch049

Projects:

  • Crawler for intra site
    • In this project student implement crawling process for within a website
    • This project is develop in .NET technology
  • Intelligent Parking System
    • In this project we try to find optimal position for parking
    • Project keep the track of time vehicle is parked and when it enters and exit for billing
    • Project develop using J2EE
  • CITRA
    • This project is a game like Temple Run and Counter Strike
    • Develop using Unity Game Engine
  • MCQ Generator
    • This project NLP based will take a paragraph as a input and produce MCQ for that paragraph.
    • MCQ will be of Fill in the blank format
    • 4 choices will be provided out of which one is correct.
    • Develop using Python
  • 01Seminar on “New Frontiers in Cloud Computing for BigData, IoT, and Smart Cities Applications and Opportunities for Systems and Data Mining Researchers” by Prof. Rajkumar Buyya, University of Melbourne, Australia at GLA University, Mathura on 24th December, 2016.
  • 02Seminar on “New Frontiers in Cloud Computing for BigData, IoT, and Smart Cities Applications and Opportunities for Systems and Data Mining Researchers” by Prof. Rajkumar Buyya, University of Melbourne, Australia at GLA University, Mathura on 24th December, 2016.
  • 03Seminar on “Data Mining Algorithms and their scalability in Cloud Environments” by Prof. Raj K Bhatnagar, University of Cincinnati, Ohio, USA at GLA University, Mathura on 19th December, 2016.
  • 04Resource Person to “Mozilla Web Literacy Workshop” in association with Mozilla on “Digital India, IOT, Big Data & Web Crawling Process” in GLA University, Mathura on 30th April, 2016
  • 05National Workshop on “Soft Computing and its Engineering Applications using MATLAB (SCEAM 2016)” at GLA University, Mathura on 4th – 5th March, 2016
  • 06IBM “Bluemix Enablement Session” at GLA University, Mathura on 20th November, 2015
  • 07Two days National Workshop on “Advancement in Mobile Communication” conducted by Department of Electronics & Communication Engg. Organized at GLA University, Mathura on October 16-17, 2015
  • 08National Workshop on “Reference management Tool Using Mendeley and How to Avoid Plagiarism” at GLA University, Mathura on 3rd October, 2015 
  • 09Faculty Enablement Program on “Big Data and Analytics” conducted by Infosys Limited at Pune DC from 16th February, 2015– 20st February, 2015
  • 10Text Mining Workshop 2014 organized by ACM Student Chapter, ISI Kolkata and Indian Statistical Institute at ISI, Kolkata from 6 – 8 January, 2014
  • 11International Conference – 2014 International Conference on Information Systems & Computer Networks at GLA University, Mathura from 1 - 2 March, 2014    
  • 12National Workshop on “Emerging Trends in Information Retrieval” at GLA University, Mathura on 27th September, 2014
  • 132014 3rd International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) at Amity University, Noida from 8 – 10 October, 2014
  • 14National Workshop on “Distributed Computing via Grid and Cloud” at GLA University, Mathura on 8th March, 2013 
  • 15Faculty Enablement Program on “Business Intelligence” conducted by Infosys Limited at Pune DC from 17th June, 2013– 21st, June, 2013
  • 16Workshop on “How to teach C: Fundamentals & Advances of C” at Hindustan College of Science & Technology, Mathura on 22nd October, 2010
  • 17National Seminar on “Emerging Trends in Computing Through IT Enabled Systems” (ETCITES ’09) at Anand Engineering College, Agra from 7-8 February, 2009
  • Associate Member of Computer Society of India (CSI), Mumbai, India.
  • Member of Association of Computing Machinery (ACM), USA.

Area of Interest

  • Big Data Analytics, Database Management System, Statistical Analysis, Machine Learning, Text Minin

Strength

  • My greatest strength is my attitude. I believe in myself. The way I think gives me confidence to complete my task.

Professional Experience

  • Working as an Assistant Professor in GLA University, Mathura, U.P., India, since July’2014.
  • Worked as an Assistant Professor at Ganeshi Lal Narayan Das Agarwal Institute of Technology, Mathura, U.P., India, from July’2009 to April’2014.

Awards and Honours

  • Certified & recognized as Bronze partner faculty under Inspire - The Campus Connect Faculty Partnership Model by Infosys Limited in December'2017.
  • Got Certificate of Merit for securing second position in M.Tech Course
  • Microsoft Technology Associate: Database Administration
  • Fundamentals IBM Certified Academic Associate, DB2 9 Database and Application Fundamentals
  • Qualified GATE in 2012, 2013 and 2017

Academic

  • Teaching subjects related to Computer Science at undergraduate and post graduate level. Guidance of projects, mini-projects and seminars undertaken by the students during their courses.

Administrative

Undertake administrative appointments in the college for conduct of academic curriculum and administrative tasks as required in running of University such as:

  • Class Advisor for B. Tech. (CSE) Course.
  • Assistant Admission Coordinator.

Special Lectures Taught/Teaching

Undertake special appointments for Placement Drive as required by Training & Placement Cell of GLA University, Mathura. Special Lectures taught on:

  • Database Management System. Under Infosys Campus Connect

Subject Taught/Teaching

  • Web Technology,
  • Data Mining & Data Warehousing,
  • Database Management System,
  • Theory of Computation
  • Discrete Mathematics,
  • Applied Statistical Analysis
  • Big Data Analytics
  • Information Retrieval Systems

Labs Taken

  • Web Technology Lab.,
  • Database Management Systems Lab.,
  • Software Project Management Lab.,
  • Software Engineering Lab.,
  • Computer Organization Lab.,
  • Mini Project Lab.
  • Applied Statistical Analysis Lab
  • Big Data Analytics Lab

Value Added Courses

Conducted following Value Added courses:

  • Academic Year 2021-22
    • Job Oriented Value Added Course on Exploring Data Science:  Statistics, Visualization, Big Data Analytics [July 2021]
  • Academic Year 2022-23
    • Job Oriented Value Added Course on Exploring Data Science:  Statistics, Visualization, Big Data Analytics [July 2022]
    • Job Oriented Value Added Course on Machine Learning [June 2022]
    • Job Oriented Value Added Course on Web Development [June-July 2022]
    • Job Oriented Value Added Course on Hybrid Mobile Application Development using Google’s Flutter [June 2022]