Bejai, Mangalore, India - 575004.
20+ yrs of Exp
Details verified of Dr Anil B V✕
 
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English Proficient
 
K V G College of Engineering   1998  
Bachelor of Engineering in Electronics and Communication Engineering
 
Sri Jaya Chamarajendra College of Engineering, Mysore  2001  
M Tech in Biomedical Instrumentation Engineering
 
Visveswaraya Technological University, Belagavi  2023  
PhD in Multi Biometrics for Rough-Neuro-Fuzzy Models
Bejai, Mangalore, India - 575004
 
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Class Location
  
  Online Classes (Video Call via UrbanPro LIVE) 
  
  Student's Home 
  
  Tutor's Home 
Years of Experience in BTech Tuition
20+
BTech Electrical & Electronics subjects
Electromagnetic Theory, Discrete Fourier Transforms And Digital Filter Design, Communication Systems, Neural Networks And Applications, Signal Processing, Control Systems, Digital Control Systems
BTech Electrical & Communication
Electromagnetic Waves, Digital Communication, Soft Computing Techniques, Digital Image Processing, Embedded System Design, Speech and Audio Processing, Linear and Digital Control Systems, Linear Systems & Signals, Neural Networks and Fuzzy Logic
BTech Computer Science subjects
Machine Learning, Machine Intelligence
BTech Branch
BTech Information Science Engineering, BTech Electrical & Electronics, BTech Instrumentation Engineering, BTech Computer Science Engineering, BTech Electrical & Communication Engineering
BTech Information Science subjects
Computer Organization & Microprocessor Systems, Machine Learning, Multimedia Communication, Neural Network and Fuzzy Logic, Pattern Recognition, Computer Vision
Experience in School or College
I have over 20 years of experience teaching Bachelor of Engineering students and approximately one year of industrial experience. I have taught subjects including Digital Signal Processing, Digital Image Processing, Artificial Neural Networks, Machine Learning, and Linear Algebra.
BTech Instrumentation subjects
Neural Networks and Fuzzy Logic, Digital Image Processing, Linear Control Theory, Digital Signal Processing, Computer Vision, Signals And Systems
Type of class
Regular Classes, Crash Course
Class strength catered to
Group Classes
Taught in School or College
Yes
Upcoming Live Classes
1. Which BTech branches do you tutor for?
BTech Information Science Engineering, BTech Electrical & Electronics, BTech Instrumentation Engineering and others
2. Do you have any prior teaching experience?
Yes
3. Which classes do you teach?
I teach BTech Tuition Class.
4. Do you provide a demo class?
Yes, I provide a free demo class.
5. How many years of experience do you have?
I have been teaching for 20 years.
Class Location
  
  Online Classes (Video Call via UrbanPro LIVE) 
  
  Student's Home 
  
  Tutor's Home 
Years of Experience in BTech Tuition
20+
BTech Electrical & Electronics subjects
Electromagnetic Theory, Discrete Fourier Transforms And Digital Filter Design, Communication Systems, Neural Networks And Applications, Signal Processing, Control Systems, Digital Control Systems
BTech Electrical & Communication
Electromagnetic Waves, Digital Communication, Soft Computing Techniques, Digital Image Processing, Embedded System Design, Speech and Audio Processing, Linear and Digital Control Systems, Linear Systems & Signals, Neural Networks and Fuzzy Logic
BTech Computer Science subjects
Machine Learning, Machine Intelligence
BTech Branch
BTech Information Science Engineering, BTech Electrical & Electronics, BTech Instrumentation Engineering, BTech Computer Science Engineering, BTech Electrical & Communication Engineering
BTech Information Science subjects
Computer Organization & Microprocessor Systems, Machine Learning, Multimedia Communication, Neural Network and Fuzzy Logic, Pattern Recognition, Computer Vision
Experience in School or College
I have over 20 years of experience teaching Bachelor of Engineering students and approximately one year of industrial experience. I have taught subjects including Digital Signal Processing, Digital Image Processing, Artificial Neural Networks, Machine Learning, and Linear Algebra.
BTech Instrumentation subjects
Neural Networks and Fuzzy Logic, Digital Image Processing, Linear Control Theory, Digital Signal Processing, Computer Vision, Signals And Systems
Type of class
Regular Classes, Crash Course
Class strength catered to
Group Classes
Taught in School or College
Yes
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