Trainers Profile
Course: MATLAB
Mr. Vaseem Durrani
Qualification: |
M. Tech Software Systems |
Mobile No: |
+91-9910025548 |
E-mail ID: |
|
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:
- Machine learning core projects handling
- IoT consultancy to the professionals and Learning enthusiasts
- Python software development consultancy
- ARM7TDMI/ARM9 processor core
- ATmega16 microcontroller
- PIC18 & PIC16 microcontroller
- MATLAB Simulation/ GUI development
- RTOS uclinux, VxWorks programming
- Python Application Development for data analysis
- Creating Real time simple embedded operating systems for scheduling task (sEOS)
- Wireless technologies (RFID, XigBee, GSM, Bluetooth, Wifi)
- Communication protocol like I2C, SPI, RS232
- 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:
- Vishwaniketan (Vimeet) – 40+ PBL completed
- HMR College (Delhi) – 30+ PBL completed
- SIT (Ichalkarnji) – 10+ PBL completed
- SVERI (Pandharpur) – 5+ PBL completed
- SKN (Pandharpur) – 7+ PBL completed
- PIET(Panipat) – 2+ PBL completed
- Galgotia (Grater Noida) – 2+ PBL completed
- DTC (Greater Noida) – 3+ PBL completed
- Hindu college of engineering: 2+ PBL completed
- GTBIT (Delhi) – 1+ PBL completed
- DTU – 1+ PBL completed
Overall More than 3500 students trained
Project Handled/Undertaken:
- Client livewise: Home automation product with AI implementation
- Cline indan SME: Transformer winding machine complete software development
- Client: Indian SME: Design and implementation of Automated Washing machine using WIFI (POC)
- Client: UK based: Design and Development of RFID based transaction ID system (POC)
- Client: Indian SME: Design and development of BARCODE based inventory management system.
- 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.
- A New Image Encryption Approach using The Integration of a Shifting Technique and the
- AES Algorithm.
- Face Recognition using GABOR Filter with SVM and neural networks.
- Facial Emotion Recognition using GABOR Algorithm (Happy, SAD, ANGER, NEUTRAL
- mood).
- Image Watermarking using 3 level dwt technique, dwt-SVD, LSB.
- Image Edge Detection using Ant Colony optimization.
- Speaker Recognition using MFCC and SVM technique.
- EEG and ECG signal Noise removal using EMD Algorithm.
- Character Recognition using MFCC and LVQ with SVM technique.
- Multilevel inverter implementation open and closed loop using fuzzy logic control.
- Real time object recognition using SIFT and SURF algorithm.
- Real Motion detection using background suppression algorithm.