Specialization

Data Warehousing, Machine Learning, Soft Computing, Cyber Security

Email

ranjeet.ranjan@thapar.edu

Education
•    PhD in Computer Science, from School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi
•    M. Tech in Computer Science and Technology, from School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi
•    B. Tech in Computer Science and Engineering from G.H.I.T.M. Puri, B.P.U.T. Odisha

Trainings
•    Certified in 4 weeks training: Harappa Education: Inspiring Faculty Program in July 2021. 
•    Certified in 4 weeks course: NPTEL: TALE-OBE Learning in 2019.
•    Certified in 4-weeks course: NPTEL: Python for Data Science in 2020.

Experience
1.    Assistant Professor (Term), Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Patiala, India (Aug 2022 - present)
2.    Assistant Professor, School of Computing, DIT University, Dehradun, India (July 2019- Aug 2022)
3.    Assistant Professor, School of Computing Science & Engineering, Galgotias University, Gautam Buddh Nagar, U.P. India (Aug 2017-July 2019)

Journal Publications
1.    Parimala N. and Ranjeet Kumar Ranjan “Mapping extended rationale diagrams to OLAP queries,” ACM SIGSOFT Software Engineering Notes, May 2013 Volume 38 Number 3, 2013. DOI: https://doi.org/10.1145/2464526.2464538. (SCOPUS)
2.    Ranjeet Kumar Ranjan and Parimala N. “A bottom-up approach for creating goal hierarchy using olap query recommendation technique,” International Journal of Business Information Systems, InderScience, Vol. 28, No. 4, pp.425–446, 2018. DOI: https://doi.org/10.1504/IJBIS.2018.093656. (SCOPUS)
3.    Amit Singh, Ranjeet Kumar Ranjan, and Abhishek Kumar, “Credit Card Fraud Detection under Extreme Imbalanced Data: A Comparative Study of Data-level Algorithms,” Journal of Experimental & Theoretical Artificial Intelligence, Taylor & Francis, Vol. 34 Issue 4, pp. 571-598, 2021, DOI: https://doi.org/10.1080/0952813X.2021.1907795. (SCI Expanded, IF = 2.296)
4.    Bibek Kumar, Ranjeet Kumar Ranjan, and Arshad Husain, “A Multi-Objective Enhanced Fruit Fly Optimization (MO-EFOA) Framework for Despeckling SAR Images using DTCWT based Local Adaptive Thresholding,” International Journal of Remote Sensing, Taylor & Francis, Vol. 42, No. 14, pp. 5497–5518, 2021. DOI: https://doi.org/10.1080/01431161.2021.1921875. (SCI/SCI Expanded, IF= 3.531)
5.    Chirag Joshi, Ranjeet Kumar Ranjan, and Vishal Bharti, “A Fuzzy Logic based Feature Engineering Approach for Botnet Detection Using ANN,” Journal of King Saud University - Computer and Information Sciences (2021), Vo. 34, No. 9, pp. 6872-6882, Elsevier, DOI: https://doi.org/10.1016/j.jksuci.2021.06.018. (SCI Expanded, IF = 9.006)
6.    Chirag Joshi, Ranjeet Kumar Ranjan, and Vishal Bharti, “ANN-based Multiclass classification of P2P Botnet,” International Journal of Computing and Digital Systems (IJCDS), University of Bahrain Scientific Journals, Vol. 11, No. 1, pp. 1391-1325, 2022. DOI: https://dx.doi.org/10.12785/ijcds/1101107. (SCOPUS)
7.    Bibek Kumar, Ranjeet Kumar Ranjan, and Arshad Husain, “A Survey on Techniques Used for De-speckling of SAR Images,” International Journal of Social Ecology and Sustainable Development (IJSESD), IGI Global, Vol. 13 (1), pp. 1-14, 2022. DOI:  http://doi.org/10.4018/IJSESD.298331. (SCOPUS)
8.    Madhu Sharma, Ranjeet Kumar Ranjan, and Vishal Bharti, “A pseudo-random bit generator based on chaotic maps enhanced with a bit-XOR operation,” Journal of Information Security and Applications (JISA), Elsevier, Vol. 69, pp.103299, 2022, DIO: https://doi.org/10.1016/j.jisa.2022.103299. (SCI Expanded, IF=4.960)
9.    Madhu Sharma, Ranjeet Kumar Ranjan, and Vishal Bharti, “An image encryption algorithm based on a novel hyperchaotic Henon Sine map,” Multimedia Tools and Applications, Springer, 2022. DOI: https://doi.org/10.1007/s11042-022-13733-y. (SCI Expanded, IF= 2.577).
10.    Madhu Sharma, Ranjeet Kumar Ranjan, and Vishal Bharti, “An Improved image encryption algorithm using a new byte-shuffled Henon map,” International Journal of Information Technology, Springer, 2022. DOI: https://doi.org/10.1007/s41870-022-01092-8. (SCOPUS). 
11.    Bibek Kumar, Ranjeet Kumar Ranjan, and Arshad Husain, “A New Synthetic Aperture Radar (SAR) Image Classification Framework using SAR Descpeckling,” International Journal of Computing and Digital Systems (IJCDS), University of Bahrain Scientific Journals, Vol. 12, No.1, pp. 1129-1144, 2022. DOI: https://dx.doi.org/10.12785/ijcds/120190. (SCOPUS).
12.    Ranjeet Kumar Ranjan and Vijay Kumar, “A Systematic Review on Fruit Fly Optimization Algorithm and its Applications,” Artificial Intelligence Review, Springer, 2023. DOI: https://doi.org/10.1007/s10462-023-10451-1. (SCI Expanded, IF= 9.588).
13.    Ranjeet Kumar Ranjan and Amit Singh, “A Comparative Study of Deep Transfer Learning Models for Malware Classification using Image Datasets,” International Journal of Information and Computer Security, InderScience, 2022, DOI: http://doi.org/10.1504/IJICS.2022.10047490. (SCOPUS). 

Conference Publications
1.    Parimala N. and Ranjeet Kumar Ranjan “Identifying dissimilar OLAP query session for building goal hierarchy,” ICCAN 2017, Bhubaneswar, India. Progress in Computing, Analytics and Networking, vol 710, pp 295-304, 2018. Springer, Singapore. DOI: https://doi.org/10.1007/978-981-10-7871-2_29. (SCOPUS)
2.    Parimala N., Ranjeet Kumar Ranjan “Integration of Goal Hierarchies Built Using Multiple OLAP Query Sessions,” SCDA 2018, In: Soft Computing in Data Analytics. Advances in Intelligent Systems and Computing, vol 758, pp 427-439. Springer, Singapore. DOI: https://doi.org/10.1007/978-981-13-0514-6_43.  (SCOPUS)
3.    Chirag Joshi, Vishal Bharti, Ranjeet Kumar Ranjan, “Analysis of Feature Selection Method for P2P Botnet Detection,” 4th International Conference on Advances in Computing and Data Sciences (ICACDS 2020), University of Malta, Communications in Computer and Information Science, Springer, Singapore, vol 1244.2020. DOI: https://doi.org/10.1007/978-981-15-6634-9_25. (SCOPUS)
4.    Chirag Joshi, Vishal Bharti, Ranjeet Kumar Ranjan, “Botnet Detection Using Machine Learning Algorithms,” Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences (PCCDS-2020), NIT Kurukshetra, 56, 2020. Springer. DOI: https://doi.org/10.1007/978-981-15-7533-4_56.
5.    Madhu Sharma, Ranjeet Kumar Ranjan, and Vishal Bharti, “A new image encryption algorithm using bit shift Logistic chaotic map,” 12th InternationalConference on Computing Communication and Networking Technologies (ICCCNT 2021), Indian Institute of Technology Kharagpur, Kharagpur, pp 1-5, 2021. DOI: https://doi.org/10.1109/ICCCNT51525.2021.9580146.
6.    Pranjal Agarwal, Arshad Husain and Ranjeet Kumar Ranjan, “Pole Like Object Detection using PCA in Terrestrial LiDAR System,” 1st International Conference on Applied Mathematics, Modeling and Simulation inEngineering (AMSE 2021), Hyderabad, and publication in IOP Science: Journal of Physics Conference Series (JPCS), 2021. DOI: https://doi.org/10.1088/1742-6596/2089/1/012004. (SCOPUS)
7.    Bibek Kumar, Ranjeet Kumar Ranjan, and Arshad Husain, “SAR Object Detection using a Novel Convolutional Neural Network Architecture,” Proceedings of the International Conference onAdvanced Network Technologies and Intelligent Computing(ANTIC-2021), Banaras Hindu University, Varanasi, Volume 66, Issue 2, 2022. DOI: https://doi.org/10.37398/JSR.2022.660219. (UGC Care)
8.    Madhu Sharma, Ranjeet Kumar Ranjan, and Vishal Bharti, “Image Encryption Using Chaotic Map: A Survey,” Soft Computing: Theories and Applications (SoCTA2021), Lecture Notes in Networks and Systems, vol 425. Springer, Singapore, 2022. DOI: https://doi.org/10.1007/978-981-19-0707-4_75
9.    Kumar Shashvat, Arshpreet Kaur, Ranjeet Kumar Ranjan, and Vartika, “An Ensemble Model (Simple Average) for Malaria Cases in North India,” 6th International Conference on Smart Trends for Computing and Communication (SmartCom 2022), Lecture Notes in Networks and Systems, vol 396, Springer, Singapore, 2022. DOI: https://doi.org/10.1007/978-981-16-9967-2_61.
10.    Manpinder Singh, Saiba Dalmia, Ranjeet Kumar Ranjan, and Amit Singh, “Dress Pattern Classification using ResNet based Convolutional Neural Networks,” Information Systems and Management Science. ISMS 2021. Lecture Notes in Networks and Systems, vol 521. Springer, 2022. DOI: https://doi.org/10.1007/978-3-031-13150-9_8.
11.    Soumya Joshi, Vanshita Mittal, Navya Rawat and Ranjeet Kumar Ranjan, “Ship Detection from Despeckled Satellite Images using Deep Learning,” IEEE International Conference on Data Science and Information System (ICDSIS-2022), Malnad College of Engineering, Hassan, Karnataka, pp. 1-7, 2022, DOI: https://doi.org/10.1109/ICDSIS55133.2022.9915923.
12.    Bibek Kumar, Ranjeet Kumar Ranjan, and Arshad Husain, “A SAR ATR using a New Convolutional Neural Network Framework,” 4th International Conference on Machine Intelligence and Signal Processing (MISP2022), NIT Raipur, 2022 [Accepted].
13.    Abhyudaya Bora, Ritika Sah, Alabhya Singh, Deepak Sharma, and Ranjeet Kumar Ranjan, “Interpretation of machine learning models using XAI - A study on health insurance dataset,” 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2022, pp. 1-6, DOI: https://doi.org/10.1109/ICRITO56286.2022.9964649.

Other activities
•    Awarded with “Excellence in Research” for contribution in research at DIT University on 4th Sept 2021.
•    Invited Speaker on Machine Learning in the FDP: IoT Machine Learning held at RKGIT Ghaziabad from 27th May- 31st May 2019. 
•    Volunteered for teaching underprivileged children at Unnoticed: Children of JNU Construction Workers from 2012 to 2018.