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Parmod Kumar

Assistant Professor
Department of Electrical and Computer Engineering
Mada Walabu University
Journal Associated: Annals of Robotics and Automation Biography:

Biography: I am Parmod Kumar, qualified Engineer offering 12 years of cross functional experience. I started my career as a Marine Engineer and worked with Mitsui O.S.K. Lines and Chevron Shipping Co. L.L.C. Presently I am working as an Assistant Professor with MWU, Ethiopia, a Data Science Trainer [URL] and volunteering as NPA Diversity Officer. I am at the same time working as a freelance research adviser to M.S. and Ph.D. students. I am further serving as a reviewer for various reputed international conferences and journals. I am passionate to listen and solve challenging problems. In Data Science training course, I teach 'Data Science Introduction and Toolbox', 'Data Extraction, Preparation, and Manipulation' 'Inferential Statistics', 'Principal Of Analytic Graph', 'Predictive Models and Machine Learning Algorithm – Supervised Regression', 'Predictive Models and Machine Learning Algorithm – Supervised Classification', 'Predictive Models and Machine Learning Algorithm – Unsupervised', 'Text Mining, Natural Language Processing, and Social Network Analysis', and 'Capstone Project.'

My academic credentials include Post Graduate Diploma in industrial Automation (PGDIA); Ph.D. - Control Systems and Signal Processing, M.S. - Measurement and Control Engineering, and B.E. - Marine Engineering.

Honesty, integrity, and dedication are my core strengths which have significantly contributed towards my career growth. I look forward to taking up assignments with greater responsibilities and creating the landmark. I am nature and animal lover and enjoy spending time with them. Also, I read books on diverse topics and play basketball, volleyball, and soccer. If you are interested in learning more about my experiences, or prospective collaborations, please contact me at and +91-7838779082.

Research Interest: Experimental Design, Biomedical Signal Processing and Analysis, Image Processing and Analysis; Dynamic Modelling and System Identification, Statistical Analysis and Modelling; Mathematical Approximation and Optimization, Biomedical Engineering, Machine Learning; Application of Artificial ntelligence, Fuzzy Logic, Neural Networks, Genetic Algorithm; Classical and Intelligent Control Systems, Mechatronics, Robot Architecture, Sensors and Actuators


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