Deepti Sisodia | Fraud detection | Excellence in Research
Dr Deepti Sisodia Alliance University, India
She holds a Ph.D. in Computer Science & Engineering from the National Institute of Technology, Raipur, with a strong academic background. Completed in 2022, her journey includes a Master of Technology from Samrat Ashok Technological Institute and a Bachelor of Engineering in Computer Science & Engineering. Additionally, she achieved honors in Diploma in Computer Science & Engineering. With problem-solving skills, excellent communication, and a willingness to learn, she aspires to contribute creatively in a globally competitive and challenging environment.
🎓Education:
She is a highly qualified professional in the field of Computer Science & Engineering, holding a Ph.D. from the National Institute of Technology, Raipur, completed in 2022. Her educational journey includes a Master of Technology in Information Technology with an impressive aggregate of 73.30%, a Bachelor of Engineering in Computer Science & Engineering with a commendable aggregate of 71.60%, and a Diploma in Computer Science & Engineering with Honors, achieving an outstanding aggregate of 82.03%. Her academic excellence is evident from her high school examination results, where she passed with a commendable score of 66.70% from Trinity Convent Higher Secondary School, Vidisha, affiliated to the M.P. Board in Bhopal.
🌐 Profile Links:
🔍Reviewer in International Journals :
- Expert Systems with Applications, Elsevier, (SCIE Indexed) (8.654 IF)
- Electronic commerce research and applications, Elsevier, (SCIE Indexed), (6.0 IF)
- Engineering applications of artificial intelligence, Elsevier, (SCIE Indexed), (8.0 IF)
- International Journal of Imaging Systems and Technology (IMA), Wiley. (SCIE Indexed) (2.0 IF)
- Data Technologies and Applications, Emerald. (SCI Indexed) (1.67 IF)
- Journal of Intelligent & Fuzzy Systems, IOS, (SCI Indexed) (1.851 IF)
- KSII Transactions on Internet and Information Systems, Elsevier, (SCIE Indexed) (1.06 IF)
- PLOS digital health, (SCIE Indexed)
👩🔬Work Experience:
With over 8 years of comprehensive experience, she served as an Assistant Professor in the Department of Information Technology at Technocrats Institute of Technology Group of Institutions (T.I.T.) Bhopal (M.P.) from July 10, 2010, to August 28, 2017. Currently, she holds the position of Assistant Professor in the Department of Computer Science & Engineering at Alliance University Bengaluru, Karnataka, since February 1, 2023. Her dedication and expertise contribute to the academic landscape, reflecting a commitment to education and knowledge dissemination.
📊Publications:
- Gradient boosting learning for fraudulent publisher detection in online advertising”, Data Technologies and Applications Published By : 2020
- Quad division prototype selection-based k-nearest neighbor classifier for click fraud detection from highly skewed user click dataset Cited By : 17, Published By : 2022
- Data Sampling Strategies for Click Fraud Detection Using Imbalanced User Click Data of Online Advertising: An Empirical Review Published By : 2022
- Feature Distillation and Accumulated Selection for Automated Fraudulent Publisher Classification from User Click Data of Online Advertising Cited By : 8, Published By : 2022
- Feature Space Transformation of User-Clicks and Deep Transfer Learning Framework for Fraudulent Publisher Detection in Online Advertising Cited By : 11, Published By : 2022
- A hybrid data-level sampling approach in learning from skewed user-click data for click fraud detection in online advertising Cited By : 4, Published By : 2022
- Stacked Generalization Architecture for Predicting Publisher Behavior from Highly Imbalanced User-Click Dataset for Click Fraud Detection Cited By : 2, Published By : 2023
- A Transfer Learning Framework Towards Identifying Behavioral Changes of Fraudulent Publishers in Pay-per-Click Model of Online Advertising for Click Fraud Detection Cited By : 1, Published By : 2023
- Prediction of diabetes using classification algorithms Cited By : 473, Published By : 2018