A Mohan
VIT-AP University, Lovely Professional University, Pondicherry University, Shri Vishnu Engineering College For Women
About
Dr. Mohan Allam holds the position of Assistant Professor Senior Grade-2 at VIT-AP University. A Pondicherry University alumnus, his research prowess lies in the domains of Soft Computing, Image Processing, and IoT. His contributions to the academic world are evident in his numerous publications in reputable journals. Furthermore, he actively serves as a reviewer for various journals and is a valued member of organizations like ACM and IEI. His commitment to knowledge acquisition is reflected in his certifications in Online Teaching and Machine Learning from prestigious platforms.
Employment
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VIT-AP University Associate Professor Grade-12023 - Present
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Lovely Professional University Associate Professor2022 - 2023
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Shri Vishnu Engineering College For Women Assistant Professor2007 - 2021
Education
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Pondicherry University Ph.D.2016 - 2021
Projects & Funding
Projects & funding information is unavailable.
Publications (19)
- Advanced EEG signal classification for neural prosthetic devices using metaheuristic and deep learning techniques Save
- Comparative Analysis of Deep Learning Architectures for Rice Leaf Disease Detection Save
- Correction: Advanced EEG signal classification for neural prosthetic devices using metaheuristic and deep learning techniques (Frontiers in Digital Health, (2026), 7, (1706660), 10.3389/fdgth.2025.1706660) Save
- HTAC-Net: Hierarchical Temporal Acoustic Composition Estimation and Biological-Component Detection in Controlled Underwater Soundscapes Save
- PA-HydroPreNet: Multi-Task Spectral Enhancement and Bioacoustic Detection for Hydrophone-Array Monitoring Save
- A Hybrid Reinforcement Learning and Harris Hawks Optimization Framework for Multi-Objective Resource Management in IIoT Save
- Spatio-Temporal Graph Convolutional Networks for Accident Detection in Video Surveillance Save
- Real Time Flood Response Sysytem: Water Level Mapping and Stranded People Detection Save
- Comprehensive Detection of Fake Job Postings: Applying Advanced Data Balancing and Machine Learning Techniques to Combat Online Frauds Save
- Advanced Face and Liveness Detection in real-time using multi-model learning to combat Spoofing Attack Save