Profile
Assistant Professor in the field of Computer Science & Engineering
Dr. Ranjeet Kumar Ranjan is working as an Assistant Professor in CSE Department at PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur. He received his Ph.D. (2018) and M.Tech (2013) from Jawaharlal Nehru University, New Delhi. He has over seven years of experience in academia, having previously served at Thapar Institute of Engineering and Technology, Patiala; DIT University, Dehradun; and Galgotias University, Greater Noida. His research interests encompass Data Warehousing, Machine Learning, Deep Learning, Soft Computing, and Cyber Security.
Database and Data Warehousing, Applied Machine Learning and Deep Learning, Soft Computing.
- M.Tech & Ph.D
School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi
- Aug 2017-July 2019 Assistant Professor
Galgotias University, Greater Noida
- July 2019-Aug 2022 Assistant Professor
DIT University, Dehradun
- Aug 2022-Aug 2024 Assistant Professor
Thapar Institute of Engineering & Technology, Patiala
Research
Areas or Specialisation / Project Activities / Publications / Books
Data Warehousing, Applied Machine Learning and Deep Learning, Soft Computing.
- Parimala N. and Ranjeet Kumar Ranjan, “Mapping extended rationale diagrams to OLAP queries,” ACM SIGSOFT Software Engineering Notes, Volume 38 Number 3, ISSN: 0163-5948, 2013. DOI:https://doi.org/10.1145/2464526.2464538
- 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, ISSN: 1746-0980, 2018. DOI: https://doi.org/10.1504/IJBIS.2018.093656. (SCOPUS)
- 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, ISSN: 1362-3079, 2021, DOI: https://doi.org/10.1080/0952813X.2021.1907795. (SCIE, IF = 1.8)
- 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, ISSN: 1366-5901, 2021. DOI: https://doi.org/10.1080/01431161.2021.1921875.(SCI/SCIE, IF= 3.0)
- 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, Elsevier, Vol. 34, No. 9, pp. 6872-6882, ISSN: 2213-1248, 2021. DOI: https://doi.org/10.1016/j.jksuci.2021.06.018. (SCI Expanded, IF = 5.2)
- 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, ISSN: 2210-142X, 2022.DOI: https://dx.doi.org/10.12785/ijcds/1101107. (SCOPUS)
- 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, ISSN: 1947-8402, 2022. DOI: http://doi.org/10.4018/IJSESD.298331. (SCOPUS)
- 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, ISSN: 2214-2134, 2022, DIO: https://doi.org/10.1016/j.jisa.2022.103299.(SCIE, IF=3.8)
- 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, Vol. 82, pp. 11949–11972, ISSN: 1573-7721, 2022. DOI: https://doi.org/10.1007/s11042-022-13733-y.(SCIE, IF= 3.0).
- 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, Vol. 15, pp. 267–277, ISSN: 2511-2112, 2022. DOI: https://doi.org/10.1007/s41870-022-01092-8. (SCOPUS).
- 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, ISSN: 2210-142X, 2022. DOI: https://dx.doi.org/10.12785/ijcds/120190. (SCOPUS).
- 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, Vol. 21, Nos. 3/4, pp. 293-319, ISSN: 1744-1773, 2023, DOI: https://doi.org/10.1504/IJICS.2023.132735. (SCOPUS).
- Ranjeet Kumar Ranjan and Vijay Kumar, “A Systematic Review on Fruit Fly Optimization Algorithm and its Applications,” Artificial Intelligence Review, Springer, Vol. 56, pp.13015–13069, ISSN: 1573-7462, 2023. DOI: https://doi.org/10.1007/s10462-023-10451-1.(SCI/SCIE, IF= 10.7).
- Vinay Gautam, Ranjeet Kumar Ranjan, Priyanka Dahiya, and Anil Kumar, “ESDNN: A Novel Ensembled Stack Deep Neural Network for Mango Leaf Disease Classification and Detection,” Multimedia Tools and Applications, Springer, Vo. 83, pp. 10989–11015, ISSN: 1573-7721, 2023. DOI: https://doi.org/10.1007/s11042-023-16012-6. (SCIE, IF= 3.0).
- Chirag Joshi, Ranjeet Kumar Ranjan, and Vishal Bharti, “ACNN-BOT: An Ant Colony Inspired Feature Selection approach for ANN based Botnet Detection,” Wireless Personal Communications, Springer, Vol. 132, pp. 1999–2021, ISSN: 1572-834X, 2023. DOI: https://doi.org/10.1007/s11277-023-10695-8. (SCIE, IF=1.9).
- Raunak Chhabra, Shailza Goswami, and Ranjeet Kumar Ranjan, “A Voting Ensemble Machine Learning based Credit Card Fraud Detection using Highly Imbalance Data,” Multimedia Tools and Applications, Springer, Vol. 83, pp. 54729–54753, ISSN: 1573-7721, 2023. DOI: https://doi.org/10.1007/s11042-023-17766-9. (SCIE, IF= 3.0)
- Manpinder Singh, Saiba Dalmia, Ranjeet Kumar Ranjan, “Detection of Diabetic Retinopathy and Age-related Macular Degeneration using DenseNet based Neural Networks,” Multimedia Tools and Applications, Springer, ISSN: 1573-7721, 2024. DOI: https://doi.org/10.1007/s11042-024-18701-2. (SCIE, IF= 3.0).
- Conference Proceedings:
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.
Parimala N. and 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, 2018. Springer, Singapore. DOI: https://doi.org/10.1007/978-981-13-0514-6_43.
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, pp.272–282, 2020. DOI: https://doi.org/10.1007/978-981-15-6634-9_25.
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.
Madhu Sharma, Ranjeet Kumar Ranjan, and Vishal Bharti, “A new image encryption algorithm using bit shift Logistic chaotic map,” 12th International Conference 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.
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 in Engineering (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.
Bibek Kumar, Ranjeet Kumar Ranjan, and Arshad Husain, “SAR Object Detection using a Novel Convolutional Neural Network Architecture,” Proceedings of the International Conference on Advanced 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.
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, Springer, vol 425. pp 835–844, 2022. DOI: https://doi.org/10.1007/978-981-19-0707-4_75.
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, Springer, vol 396, pp 655–664, 2022. DOI: https://doi.org/10.1007/978-981-16-9967-2_61.
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, Springer, vol 521, pp 91–103, 2022. DOI: https://doi.org/10.1007/978-3-031-13150-9_8.
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.
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,” 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.
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, Lecture Notes in Electrical Engineering, Springer, vol 997, pp.127–134, 2023. DOI: https://doi.org/10.1007/978-981-99-0085-5_11.
M. Tech./M.Des.
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Ph. D.
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Contact me
Feel free to contact
Ranjeet Kumar Ranjan
ranjeet.kr@iiitdmj.ac.in
https://www.linkedin.com/in/dr-ranjeet-kumar-ranjan-25b86634/
ranjeetghitm@gmail.com
(Fax) 91-
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