Dr. Kezia Saini
Qualification : Ph.D. (LNM Institute of Information Technology, Jaipur)
Designation : Asst. Professor
Email: [email protected]
Details of Educational Qualification:
| Course | Specialization | Branch | Institute / University | Year of Passing |
|---|---|---|---|---|
| Ph.D. | Boolean Functions & its Cryptographic Properties | Pure Mathematics | LNM Institute of Information Technology, Jaipur | 2025 |
| M.Sc. | Mathematics | Mathematics | University of Delhi | 2017 |
| B.Sc. (Hons.) | Mathematics | B.Sc. (Hons.) | University of Delhi | 2015 |
Research Areas:
- Boolean Functions, Cryptography, Machine Learning
Research Identifiers:
- Scopus : https://www.scopus.com/authid/detail.uri?authorId=57561882300
- Vidwan : https://vidwan.inflibnet.ac.in/profile/586798
- Google scholar : https://scholar.google.com/citations?user=BlpHxBsAAAAJ&hl=en
- h-Index (As per Scopus Data) : 3
Publication Details:
| S.No | Publication Affiliation | Academic Year | Author Position | Details of Research Publication | Indexing | Publication | Journal Quartile (Q1/Q2/Q3/Q4) |
|---|---|---|---|---|---|---|---|
| 1 | MITS | 2025-26 | 3 | Eco-Modified asphalt binders: enhancing pavement longevity with Delonix seed extract and optimized crumb rubber granulometry. https://doi.org/10.1007/s10163-025-02455-6 | SCI | Article | Q2 |
| 2 | MITS | 2025-26 | 2 | Reliability-Based Pavement Design in Hot Climates: A Probabilistic Framework Using Environmental Damage Index. https://doi.org/10.1007/s42947-025-00691-5 | ESCI | Article | Q2 |
| 3 | MITS | 2025-26 | 2 | Multimodal AI framework for forecasting tree cover loss and carbon emissions in india: integrated time-series modeling, spatial volatility mapping, and explainable causal analysis. https://doi.org/10.1007/s11027-025-10279-w | SCI | Article | Q1 |
| 4 | MITS | 2025-26 | 2 | A Scalable Machine Learning Framework for Hydrological Water Quality Monitoring Using Physicochemical and Microbial Parameters. https://doi.org/10.3390/w17142158 | SCI | Article | Q1 |
| 5 | MITS | 2025-26 | 2 | AI-Driven Optimization of Nano-modified Bitumen: CO2 reduction Efficiency Through Machine Learning and Optimization Framework. https://doi.org/10.1007/s42947-025-00593-6 | ESCI | Article | Q2 |
| 6 | MITS | 2025-26 | 2 | Addressing uncertainty in pavement performance prediction: a quasi-Monte Carlo simulation-based reliability approach. Road Materials and Pavement https://doi.org/10.1080/14680629.2025.2527202 | SCI | Article | Q1 |
| 7 | MITS | 2024-25 | 1 | A hybrid machine learning framework for predicting moisture-induced pavement failure: integrating sensitivity analysis and data augmentation. https://doi.org/10.1080/14680629.2025.2520554 | SCI | Article | Q1 |
| 8 | Others | 2024-25 | 1 | Boolean function classes with high nonlinearity. https://doi.org/10.3934/amc.2023014 | SCI | Article | Q2 |
| 9 | Others | 2022-23 | 1 | On the higher-order nonlinearity of a new class of biquadratic Maiorana–McFarland type bent functions. AAECC 36, 415–425 (2023). https://doi.org/10.1007/s00200-023-00611-9 | SCI | Article | Q2 |
| 10 | Others | 2022-23 | 1 | Second-Order Nonlinearity of a Boolean Function Class with Low Spectra. https://doi.org/10.1007/978-3-031-29959-9_6 | Scopus | Conference Proceedings | |
| 11 | Others | 2021-22 | 1 | On the higher-order nonlinearity of a Boolean bent function class (Constructed via Niho power functions). https://doi.org/10.1007/s12095-022-00574-7 | SCI | Article | Q1 |