Ms. Mekhala

About

Mekhala serves as an Assistant Professor with over 9 years of distinguished experience in higher education, research, and technical training. She is recognized as an esteemed educator and learning specialist, possessing expertise in pedagogy, scholarly research, analytical reasoning, leadership, and problem-solving.

Her research focuses on databases, artificial intelligence/machine learning, deep learning, and computer vision. She is dedicated to utilizing emerging artificial intelligence technologies to craft innovative solutions for real-world challenges.

Experience

• 9+ Years

Qualification

• PhD (P) CSE
• M Tech- CSE
• B Tech- CSE

Research

• Patents Filed/Published: 2
• Scopus-Indexed Research Papers: 1
• International Conference Publications: 5

Other International Journal Publications: 6

Session Chair – IEEE Conference, G.L. BAJAJ, Greater Noida, 2023

Session Chair – IEEE Conference, G.L. BAJAJ, Greater Noida, 2024

Research

1. Mittal, A., Bajetha, D., Mekhala, Kumar, A., Ghosh, T., Kamboj, S., & Thelly, M. T. (2024). Artificial intelligence-guided discovery of anticancer compounds from marine plants: A focus on Sargassum SPP. African Journal of Biological Sciences, 6(Si3), 2509–2526. https://doi.org/10.33472/AFJBS.6.Si3.2024.2509-2526.
2. Kumar, A., Vij, A., Jain, A., & Singh, J. (2026, February). Comparative Evaluation of Blockchain-Fog Vs Cloud-Based Models for Real-Time Health Monitoring. In 2026 2nd International Conference on Cognitive Computing in Engineering, Communications, Sciences and Biomedical Health Informatics (IC3ECSBHI) (pp. 254-259). IEEE.
3. Singh, J., Tanwar, K., Kumar, A., Vij, A., & Jain, A. (2026, January). AI-Powered Resume and Job Description Matcher: A Semantic Similarity Approach Using SBERT and Contrastive Fine-Tuning. In 2026 International Conference on Smart Futuristic Technology (pp. 1-9). IEEE.
4. Kumar, M. (2025, November). Advancements In Object Detection for Transportation System: An Ai-Driven Comprehensive Review. In 2025 International Conference on Emerging Technologies and Innovation for Sustainability (EmergIN) (pp. 162-168). IEEE.
5. Raj, A., Kumar, M., Jha, B., & Tanwar, K. (2025, November). Real-Time Flood Forecasting Using Machine Learning. In 2025 2nd International Conference on Intelligent Systems for Cybersecurity (ISCS) (pp. 1-6). IEEE.
6. Singla, D., Thakur, K. C., & Narwaria, M. (2025, November). Smart Legal Advisor Mobile Application: A AI-Powered Legal Assistant. In 2025 2nd International Conference on Intelligent Systems for Cybersecurity (ISCS) (pp. 1-6). IEEE.

Area of Interest

• Deep Learning
• Computer Vision
• Artificial Intelligence & Machine Learning
• Database