Assistant Professor at Mizoram University, India
Dr. Kshetrimayum Robert Singh is an Assistant Professor in the Department of Electrical Engineering at Mizoram University, where he has served since 2011. He holds a Ph.D. from NIT Silchar with research focusing on image processing and neural networks for rice grain classification. With over 20 research papers, a book, two patents, and five ongoing research projects—two of which he leads as Principal Investigator—Dr. Singh has made significant contributions in the areas of digital image processing and pattern recognition. His notable innovations include the development of various texture feature extraction techniques for cereal grain classification. He is a member of IETE, ISTE, and NEAST, and currently supervises three Ph.D. scholars.
Profile:
🎓 Academic & Professional Journey:
Dr. Robert Singh holds a Ph.D. in Electrical Engineering from NIT Silchar, where his research focused on rice grain recognition using image processing and neural networks. He also earned his M.E. in Applied Electronics and B.E. in Electrical and Electronics Engineering. He has served as a Lecturer at KSR College of Technology, Guest Faculty at DOEACC Imphal, and Assistant Engineer at Mizoram University before joining his current post in 2011.
🔬 Research & Innovation:
His research interests lie in Digital Image Processing, Pattern Recognition, and Artificial Neural Networks. He has published 20+ research papers, holds 2 patents, and authored a book (ISBN: 978-3-659-69371-7). With a citation index of 217, h-index of 6, and 5 ongoing projects (PI in 2), his contributions are recognized nationally. One of his notable works includes cereal grain classification using advanced texture feature techniques, which also led to a German patent.
🏅 Awards & Memberships:
📚 Academic Engagement:
-
Former Head In-Charge, Department of Electrical Engineering
-
Member of several academic and administrative committees including the Board of Professional Studies and Teachers’ Grievance Redressal Committee
-
Currently guiding 3 Ph.D. scholars
💡 Specializations:
-
Texture feature extraction for image classification
-
Low-complexity feature selection methods
-
Microcontroller-based system design
-
Neural network applications in digital design
📊 Citation Metrics:
-
All Time Citations: 217
-
Citations Since 2020: 178
-
h-index: 6 (overall and since 2020)
-
i10-index: 5 (overall and since 2020)
Publication Top Notes:
-
Efficient Technique for Rice Grain Classification Using Back‐Propagation Neural Network and Wavelet Decomposition
-
A Comparison of Gray-Level Run Length Matrix and Gray-Level Co-Occurrence Matrix Towards Cereal Grain Classification
-
A Cascade Network for the Classification of Rice Grain Based on Single Rice Kernel
-
Comparative Analysis of Texture Feature Extraction Techniques for Rice Grain Classification
-
Medicinal Plant Species Classification Using Neural Network Classifier
-
Gray Level Size Zone Matrix for Rice Grain Classification Using Back Propagation Neural Network: A Comparative Study
-
Reviewing Demand Response for Energy Management With Consideration of Renewable Energy Sources and Electric Vehicles
-
Congestion Management by Generator Real Power Rescheduling Using Hybrid Grey Wolf Optimizer and Cuckoo Search Algorithm
-
Performance Analysis of a Grid Connected Solar-PV and PMSG-Wind Energy Based Hybrid System
-
Enhanced Harris Hawks Optimization Based Load Frequency Control of Multi Area Microgrid Based Water Treatment Plant With Consideration of 3DOF-(FO-PIDN)/(TIDN) Controller
-
Real Power Rescheduling of Generator for Transmission Line Congestion Management Using Atom Search Algorithm
-
Performance Analysis of a Standalone Inverter System Under Variable Loading Conditions
-
Study on Mutual Funds Trading Strategy Using TPSO and MACD
-
Fingerprint Indexing and Verification
-
Multi-Objective-Based Economic and Emission Dispatch With Integration of Wind Energy Sources Using Different Optimization Algorithms
-
Short-Term Load Forecasting for IEEE 33 Bus Test System Using SARIMAX
-
GSM Based Smart Irrigation System With Arduino UNO Powered by Solar Panel
-
Classification of Medicinal Plant Species Using Neural Network Classifier: A Comparative Study
-
Smart Three Layer Anti-Theft Vehicle Security System Based on Arduino Microcontroller
-
Texture Analysis for Rice Grain Classification Using Wavelet Decomposition and Back Propagation Neural Network