Pradip Dhal
Pradip Dhal
Assistant Professor
Pradip Dhal has two years of teaching experience. He has completed his MCA from the ITER, Shiksha O Anusandhan (SOA) Deemed to be University, Bhubaneswar. He has received his M.Tech. Degree in Computer Science from the Central University of South Bihar, Gaya, in 2019. He received his Ph.D. from the National Institute of Technology, Jamshedpur, in the Department of Computer Science & Engineering 2022. He works as an Assistant Professor (II) at Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, India.
Research Interests
Machine Learning, Pattern Recognition, Data Mining, Medical Image Analysis, Natural language Processing, Multi-objective Optimization, Image Processing, Audio Analysis
Machine Learning, Pattern Recognition, Data Mining, Medical Image Analysis, Natural language Processing, Multi-objective Optimization, Image Processing, Audio Analysis
Journals/Conferences :
1. Pradip Dhal, Chandrashekhar Azad, (2025), Zone Oriented Binary Multi-Objective Charged System Search Based Feature Selection Approach for Multi-Label Classification. Expert Systems, 42: e13803. https://doi.org/10.1111/exsy.13803
2. Pradip Dhal, Chandrashekhar Azad, A comprehensive survey on feature selection in the various fields of machine learning. Appl Intell 52, 4543–4581 (2022), https://doi.org/10.1007/s10489- 021-02550-9
3. Pradip Dhal, Chandrashekhar Azad, A multi-objective feature selection method using Newton’s law based PSO with GWO, Applied Soft Computing, Volume 107, 2021, 107394, ISSN 1568- 4946, https://doi.org/10.1016/j.asoc.2021.107394
4. Pradip Dhal, Chandrashekhar Azad, Hybrid momentum accelerated bat algorithm with GWO based optimization approach for spam classification. Multimed Tools Appl 83, 26929–26969 (2024). https://doi.org/10.1007/s11042-023-16448-w
5. Pradip Dhal, Chandrashekhar Azad, A fine-tuning deep learning with multi-objective-based feature selection approach for the classification of text. Neural Comput & Applic 36, 3525–3553 (2024). https://doi.org/10.1007/s00521-023-09225-1
6. Pradip Dhal, Chandrashekhar Azad, A lightweight filter based feature selection approach for multi-label text classification. J Ambient Intell Human Comput 14, 12345–12357 (2023). https://doi.org/10.1007/s12652-022-04335-5
7. Pradip Dhal, Chandrashekhar Azad, "A deep learning and multi-objective PSO with GWO based feature selection approach for text classification," 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2022, pp. 2140-2144, https://doi.org/10.1109/ICACITE53722.2022.9823473.
8. Pradip Dhal, Chandrashekhar Azad, "A multi-objective evolutionary feature selection approach for the classification of multi-label data," 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2022, pp. 1986-1989, https://doi.org/10.1109/ICACITE53722.2022.9823911.
9. Pradip Dhal, Chandrashekhar Azad, A multi-stage multi-objective GWO based feature selection approach for multi-label text classification," 2022 2nd International Conference on Intelligent Technologies (CONIT), Hubli, India, 2022, pp. 1-5, https://doi.org/10.1109/CONIT55038.2022.9847886.
10. Pradip Dhal, Chandrashekhar Azad, A novel approach for blood vessel segmentation with exudate detection in diabetic retinopathy," 2020 International Conference on Artificial Intelligence and Signal Processing (AISP), Amaravati, India, 2020, pp. 1-6, doi: https://doi.org//10.1109/AISP48273.2020.9073012.
1. Pradip Dhal, Chandrashekhar Azad, (2025), Zone Oriented Binary Multi-Objective Charged System Search Based Feature Selection Approach for Multi-Label Classification. Expert Systems, 42: e13803. https://doi.org/10.1111/exsy.13803
2. Pradip Dhal, Chandrashekhar Azad, A comprehensive survey on feature selection in the various fields of machine learning. Appl Intell 52, 4543–4581 (2022), https://doi.org/10.1007/s10489- 021-02550-9
3. Pradip Dhal, Chandrashekhar Azad, A multi-objective feature selection method using Newton’s law based PSO with GWO, Applied Soft Computing, Volume 107, 2021, 107394, ISSN 1568- 4946, https://doi.org/10.1016/j.asoc.2021.107394
4. Pradip Dhal, Chandrashekhar Azad, Hybrid momentum accelerated bat algorithm with GWO based optimization approach for spam classification. Multimed Tools Appl 83, 26929–26969 (2024). https://doi.org/10.1007/s11042-023-16448-w
5. Pradip Dhal, Chandrashekhar Azad, A fine-tuning deep learning with multi-objective-based feature selection approach for the classification of text. Neural Comput & Applic 36, 3525–3553 (2024). https://doi.org/10.1007/s00521-023-09225-1
6. Pradip Dhal, Chandrashekhar Azad, A lightweight filter based feature selection approach for multi-label text classification. J Ambient Intell Human Comput 14, 12345–12357 (2023). https://doi.org/10.1007/s12652-022-04335-5
7. Pradip Dhal, Chandrashekhar Azad, "A deep learning and multi-objective PSO with GWO based feature selection approach for text classification," 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2022, pp. 2140-2144, https://doi.org/10.1109/ICACITE53722.2022.9823473.
8. Pradip Dhal, Chandrashekhar Azad, "A multi-objective evolutionary feature selection approach for the classification of multi-label data," 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), Greater Noida, India, 2022, pp. 1986-1989, https://doi.org/10.1109/ICACITE53722.2022.9823911.
9. Pradip Dhal, Chandrashekhar Azad, A multi-stage multi-objective GWO based feature selection approach for multi-label text classification," 2022 2nd International Conference on Intelligent Technologies (CONIT), Hubli, India, 2022, pp. 1-5, https://doi.org/10.1109/CONIT55038.2022.9847886.
10. Pradip Dhal, Chandrashekhar Azad, A novel approach for blood vessel segmentation with exudate detection in diabetic retinopathy," 2020 International Conference on Artificial Intelligence and Signal Processing (AISP), Amaravati, India, 2020, pp. 1-6, doi: https://doi.org//10.1109/AISP48273.2020.9073012.