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Hire BINISH M.

India

USD 8 /hr

Research, Artificial Intelligence, MATLAB, Simulink, Embedded System

Profile Summary

I am a multidisciplinary researcher with a strong background in power systems optimization, embedded systems, and artificial intelligence. My academic and project work primarily focuses on the application of advanced AI algorithms in biomedical and medical imaging systems, including intelligent diagnosis, classification, and segmentation tasks. In parallel, my research interests extend to power electronics and smart energy systems, with particular emphasis on MATLAB/Simulink-based demand-side management (DSM), multi-objective optimization for cost and peak load minimization, and the integration of renewable energy sources, . My work aims to develop efficient, intelligent, and sustainable solutions that bridge the gap between data-driven intelligence and real-world engineering systems.

Subject Matter Expertise

• ☆ Python
• ☆ SPSS
• ☆ Matlab
• ☆ Excel
• ☆ Tensorflow
• ☆ R
• ☆ Scikit-learn
• ☆ Medical Equipment & Supplies
• ☆ Hypothesis
• ☆ Peer Review
• ☆ Research Methodology
• ☆ Survey Design & Methodology
• ☆ Feasibility Studies
• ☆ Literature Search
• ☆ Gap Analysis
• ☆ Technical & Scientific Writing
• ☆ Journal Selection
• ☆ Manuscript & Journal Article Writing
• ☆ White Papers
• ☆ Textbook Content Writing
• ☆ Scientific Proofreading & Editing

Services

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing

Research Technology Scouting, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Healthcare Consulting, Scientific and Technical Consulting, Manufacturing Consulting

Data & AI Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization

Product Development Manufacturing, Product Launch Support, Packaging Design, Prototyping

Work Experience

Company Founder

SIGNAL SEMITECH PVT. LTD

January 2022 - Present

Assistant professor

A P J Abdul Kalam Technological University

July 2012 - Present

Education

Ph.D

A P J ABDUL KALAM TECHNOLOGICAL UNIVERSITY, KERALA, INDIA

July 2020 - Present

M Tech

Cusat

April 2012 - Present

Certifications

• AI and ML

  coursera

  July 2021 - Present

Publications

JOURNAL ARTICLE

Swarun Raj R.S., Binish M.C., Navya V.N., Vinu Thomas (2026). Classifying Alzheimer’s disease using machine learning: Insights from default mode network alterations . Biomedical Signal Processing and Control.

Binish M.C., Swarun Raj R.S., Vinu Thomas (2026). CBAM–SMK: Integrating Convolution Block Attention Module with separable multi-resolution kernels in deep neural networks for brain tumor classification . Biomedical Signal Processing and Control.

Binish M C, Vinu Thomas (2025). Impact of shared dense connectivity and channel width on convolutional block attention module for regional MRI-based brain tumor classification . Biomedical Physics & Engineering Express.

(2020). Computationally Efficient Intra and Inter Mode Decision in H.264/AVC . Procedia Computer Science.

(2016). A Fast Intra Prediction for H.264/AVC Based on SATD and Prediction Direction . Procedia Technology.

BOOK CHAPTER

M. C. Binish, M. A. Abini, Vinu Thomas (2026). MRI-Based Detection of Focal Cortical Dysplasia Using 3D Convolutional Neural Networks and Attention Mechanisms .

Joel T. Nanthikattu, Government Model Engineering College, Thrikkakara, Kochi, Kerala, India, Navaneeth N, Gokul D, Sonette T, Binesh T, Binish M. C., Vinu Thomas (2021). GPU based Segmentation and Classification of Brain Tumour from MRI Images . New Frontiers in Communication and Intelligent Systems.

CONFERENCE PAPER

Binish M C, Swarun Raj R S, Navya V N, Vinu Thomas (2024). A Deep Learning Based Classification of Alzheimer's Disease Using 3D CNN . 2024 1st International Conference on Trends in Engineering Systems and Technologies (ICTEST).

Brain Tumor Classification using Multi-Resolution Averaged Spatial Attention Features with CBAM and Convolutional Neural Networks bibtex . 2024 1st International Conference on Trends in Engineering Systems and Technologies (ICTEST).

Binish, M.C., Swarun Raj, R.S., Thomas, V.(2024). Brain Tumor Classification using Multi-Resolution Averaged Spatial Attention Features with CBAM and Convolutional Neural Networks . 2024 1st International Conference on Trends in Engineering Systems and Technologies, ICTEST 2024.

Swarun Raj, R.S., Navya, V.N., Binish, M.C., Thomas, V.(2024). A Deep Learning Based Classification of Alzheimer's Disease Using 3D CNN . 2024 1st International Conference on Trends in Engineering Systems and Technologies, ICTEST 2024.

Mathew, D., Binish, M.C., Jose, B.A.(2020). Computationally Efficient Intra and Inter Mode Decision in H.264/AVC . Procedia Computer Science. 171. p. 360-368.

BINISH M C, Athency Antony (2017). Brain Tumor Detection and Classification in MRI Images . National Conference on Advanced Computing, Communication and Electrical Systems.

(2014). Image encryption based on diffusion process and multiple chaotic maps . 2014 International Conference on Power Signals Control and Computations (EPSCICON).

Ameena Marshnil, N., Binish, M.C.(2014). Image encryption based on diffusion process and multiple chaotic maps . 2014 International Conference on Power Signals Control and Computations, EPSCICON 2014.