Trainers Profile

Course: MATLAB

 

trainer_matlab

 

 

 

 

 

  

 

 

Mr. Vaseem Durrani

 

 

Qualification:

M. Tech Software Systems

Mobile No:

+91-9910025548

E-mail ID:

[email protected]

Industry:

Software, Embedded Systems, AI, Robotics,

Currently working in:

Aedifico Tech Pvt Ltd

Industry experience in years:

11+years

Course Conducted under

PBL:

Machine Learning, IoT, Embedded Systems, Python, R,

MATLAB, Robotics, ARM7, C

Course experience:

1). Vishwaniketan (Vimeet) – 40+ PBL experience 2). HMR College (Delhi) – 30+ PBL experience 3). SIT (Ichalkarnji) – 10+ PBL experience

4). SVERI (Pandharpur) – 5+ PBL experience 5). SKN (Pandharpur) – 7+ PBL experience 6). PIET(Panipat) – 2+ PBL experience

7). Galgotia (Grater Noida) – 2+ PBL experience

Specialization:

MATLAB, PYTHON, ROBOTICS, EMBEDDED SYSTEMS, C, MACHINE LEARNING,

Expertise Areas:

Image Processing , Audio Processing, Embedded automation and control, simulation, software

development, Product development

 

Core skills and abilities:

 

Soft skills : Excellent Training capabilities

 

Technical Skills : Python , C, RTOS, MATLAB, Embedded C, R, Embedded Systems, Robotics, Automation, IoT, AI

 

 

Employment History: March, 2009 – Till Today

Organization Name: Aedifico Tech India Pvt. Ltd. Position Title: Chief Training Director

Profile Description: Providing Technical training to corporate and engineering students on

 

Software development and Embedded System Designing. Core domain includes following sub domain:

  1. Machine learning core projects handling
  2. IoT consultancy to the professionals and Learning enthusiasts
  3. Python software development consultancy
  4. ARM7TDMI/ARM9 processor core
  5. ATmega16 microcontroller
  6. PIC18 & PIC16 microcontroller
  7. MATLAB Simulation/ GUI development
  8. RTOS uclinux, VxWorks programming
  9. Python Application Development for data analysis
  10. Creating Real time simple embedded operating systems for scheduling task (sEOS)
  11. Wireless technologies (RFID, XigBee, GSM, Bluetooth, Wifi)
  12. Communication protocol like I2C, SPI, RS232
  13. C/C++, Data Structures, Embedded C

 

Role: Presently Head of the Department managing Team of 15 people for training and project in the Organization

Training History:

 

  1. Vishwaniketan (Vimeet) – 40+ PBL completed
  2. HMR College (Delhi) – 30+ PBL completed
  3. SIT (Ichalkarnji) – 10+ PBL completed
  4. SVERI (Pandharpur) – 5+ PBL completed
  5. SKN (Pandharpur) – 7+ PBL completed
  6. PIET(Panipat) – 2+ PBL completed
  7. Galgotia (Grater Noida) – 2+ PBL completed
  8. DTC (Greater Noida) – 3+ PBL completed
  9. Hindu college of engineering: 2+ PBL completed
  10. GTBIT (Delhi) – 1+ PBL completed

 

  1. DTU – 1+ PBL completed

 

 

Overall More than 3500 students trained

 

 

Project Handled/Undertaken:

 

  1. Client livewise: Home automation product with AI implementation
  2. Cline indan SME: Transformer winding machine complete software development
  3. Client: Indian SME: Design and implementation of Automated Washing machine using WIFI (POC)
  4. Client: UK based: Design and Development of RFID based transaction ID system (POC)
  5. Client: Indian SME: Design and development of BARCODE based inventory management system.
  6. Client: Indian SME: Design and development of Pair Trading (Auto Trading) software on MATLAB platform

 

 

 

 

Glance of Thesis Project Experiences (Completed over to 250 Thesis on MATLAB and Python):

 

All the thesis, have been exclusively implemented in the different MATLAB development environments (such as: Scripting, Simulink and GUI) and Python using various modules.

  1. A New Image Encryption Approach using The Integration of a Shifting Technique and the
  2. AES Algorithm.
  3. Face Recognition using GABOR Filter with SVM and neural networks.
  4. Facial Emotion Recognition using GABOR Algorithm (Happy, SAD, ANGER, NEUTRAL
  5. mood).
  6. Image Watermarking using 3 level dwt technique, dwt-SVD, LSB.
  7. Image Edge Detection using Ant Colony optimization.
  8. Speaker Recognition using MFCC and SVM technique.
  9. EEG and ECG signal Noise removal using EMD Algorithm.
  10. Character Recognition using MFCC and LVQ with SVM technique.
  11. Multilevel inverter implementation open and closed loop using fuzzy logic control.
  12. Real time object recognition using SIFT and SURF algorithm.
  13. Real Motion detection using background suppression algorithm.