Dr.Mohammed.Ashik

About

Dr. Mohammed. Ashik has worked in various Engineering Collages and is currently serving as Assistant professor in the department of Electronics and Communication Engineering at Rajiv Gandhi University of Knowledge and Technologies (RGUKT), IIIT Srikakulam. His Expertise is in the field of Bio-Medical Signal Processing, Electronic instrumentation and Electronic System design. He earned both his masters and Ph.D from Andhra University, College of Engineering, Visakhapatnam, Andhra Pradesh, India. Where he developed deep expertise in sensor technologies and signal processing. He has over 5 Reputed Journals, over 3 International IEEE Conferences Publications and over 5 Patents and authored 2 Books with Royalty, has Participated in many FDPS and Technical Workshops and guided Projects and Internships. His academic endeavors are complemented by a commitment to translating complex theoretical concepts into accessible, hands-on projects for learners and Practitioners alike.

Employment

• Rajiv Gandhi University of Knowledge Technologies, IIIT Srikakulam Assistant Professor
  2024 - Present
• Wellfare Institute of Science Technology and Management, Affiliated to Andhra University, Visakhapatnam Assistant Professor
  2015 - 2024

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (29)

• Simulated depression risk classification from Parkinson’s voice features using a self-attention-enhanced MLP architecture
  Scientific Reports 2026 DOI: 10.1038/s41598-026-37773-8
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• A Comparative Evaluation of Image Pre-processing Techniques for Corn Leaf Disease Classification
  2026 5th International Conference on Electrical Computer and Telecommunication Engineering Icecte 2026 2026 DOI: 10.1109/ICECTE69292.2026.11429436
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• IoT-Based Smart Hydroponics for Automated Nutrient, Climate, Irrigation, and Health Monitoring
  2025 International Electronics Symposium Ies 2025 2025 DOI: 10.1109/IES67184.2025.11161182
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• Revolutionizing Alzheimer's: A CNN Model for Early Detection and Accurate Prediction
  2025 International Conference on Electrical Computer and Communication Engineering Ecce 2025 2025 DOI: 10.1109/ECCE64574.2025.11012989
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• Image Pre-processing for Deep Learning in Bone Fracture Classification: A Comparative Study
  2025 IEEE 2nd International Conference on Computing Applications and Systems Compas 2025 2025 DOI: 10.1109/COMPAS67506.2025.11381832
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• Hybrid Fuzzy Logic and Metaheuristic Optimized Trinetfusion Model for Liver Tumor Segmentation
  Journal of Electronics Electromedical Engineering and Medical Informatics 2025 DOI: 10.35882/jeeemi.v7i2.657
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• From Fresh to Foul: Deep Learning's Discerning Eye on Fruit Decay
  2025 International Conference on Electrical Computer and Communication Engineering Ecce 2025 2025 DOI: 10.1109/ECCE64574.2025.11013966
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• Direction of arrival estimation using full eigenstructure projection
  2025 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies Inspect 2025 2025 DOI: 10.1109/INSPECT67393.2025.11350591
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• Comparative Analysis of Machine Learning and Transformer Approaches for Fake Review Detection on Daraz E-Commerce Platform
  2025 IEEE International Conference on Quantum Photonics Artificial Intelligence and Networking Qpain 2025 2025 DOI: 10.1109/QPAIN66474.2025.11171748
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• Bone Fracture Classification in X-ray Images: A Deep Learning Approach Leveraging Transfer Learning
  2025 International Conference on Electrical Computer and Communication Engineering Ecce 2025 2025 DOI: 10.1109/ECCE64574.2025.11013431
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