Project Engineering

SAINO RENJIT

*************@*****.***

Phone: +91-949*******

A highly resourceful, flexible and enthusiastic engineering graduate with knowledge and skills in

Electronics, Instrumentation and Signal Processing that can be applied in practical environments. This

is backed up by expertise in MATLAB and PIC programming. Currently l ooking for a challenging

and responsible position with an ambitious educational institution focused on industry and research.

EDUCATION

M.Tech. – Applied Electronics & Instrumentation with specialisation in Signal

Processing

Rajagiri School of Engineering & Technology, 2014 (Completion Dec ’14).

B.Tech. – Electronics and Instrumentation Engineering - 69%

Federal Institute of Science And Technology (FISAT), 2012

WORK EXPERIENCE

• Two months’ work experiences as Instrument Mechanic Lecturer in an Industrial Training

Institute for Instrument Engineering Trade

ACHIEVEMENTS

• GATE 2012 Qualified with 94.35 percentile.

• Participated in ISA technical activity seminar on Industrial Automation.

• Attended 3 day workshop on Software Defined Radio.

SKILL SET

1. Languages: C Programming, MATLAB, Micro Controller, R Programming (programming

language and software environment for statistical computing, data analysis and graphics).

2. Software: LaTeX (used for communication and publication of scientific documents), MS

office (Word, Excel, PPT).

3. Platforms: Linux, Windows

INDUSTRIAL EXPERIENCE

• FACT Udyogamandal Division, Eloor.

Industrial training in FACT Ammonia plant gave in-depth insight to DCS operation and

function. This also provided hands on experience with various Field Instruments like

transmitters, Control Valves and Gauges. It provided an opportunity to put in practice the

theoretical knowledge acquired in the classroom with practical application of knowledge

required to perform an industrial task. Also, it gave a feel of live work environment and the

tools used in the industry.

• NeST, Technology Specialists Group, Trivandrum.

As a Project Trainee I was exposed to live project environment in a software development

setting with rigorous training in R Programming and was given opportunity to learn the

basics of the software development process. I was also able to contribute to an assigned

project on a very basic level.

PROJECT WORK

1. Diagnosing lung status using PPG-derived respiratory signals

This project work presents a novel algorithm for diagnosing lung status using

photoplethysmographic (PPG)-derived respiratory signals. The algorithm contains two steps.

First one is the Respiratory cycle extraction process and second one is the automatic

evaluation of lungs status by the extracted respiratory signal. Modified Multiscale Principal

Component Analysis (MMSPCA) is used for extraction of respiratory activity embedded in

the PPG signals. A Support Vector Machine (SVM) classifier classifies the extracted

respiratory signals to normal or abnormal signal according to the number of beats per

minutes and signal energy. Simulation results in MATLAB shown that the algorithm

effectively diagnoses the lung status using the extracted respiratory signals.

1. Zerotree Coding of Compression of ECG Signal

This Project was taken up to transmit large amount of ECG and other biomedical data signals

through communication channels when capacity of the communication channels becomes a

constrain. Prominence of elective ECG data compression technique is high in these scenarios.

Project used Embedded Zerotree Wavelet algorithm in MATLAB for ECG data

compression and evaluated the characteristics and compression performance of ECG signals.

2. Binary Distillation Column Controller Using Fuzzy Logic

The project work used control strategy that combines decoupling, PID and fuzzy controller

for of the Binary Distillation Column of Methanol & Water. The processes of the distillation

column with its fuzzy controllers were simulated in MATLAB Simulink and fuzzy systems

were implemented in MATLAB using FIS Editor. The separation of methanol-water mixture

requires two control objects i.e., control of the composition of the distillate and control of the

composite of the bottom products.

Project compared response of PID WITHOUT DECOUPLER, WITH DECOUPLER &

FUZZY WITH DECOUPLER. The process controlled with fuzzy controller was found to be

faster and reaches the steady state values with minimum oscillations in both top and bottom

products composition control, compared with other two methods.

3. On Load Tap Changing

On Load Tap Changing: OLTC is used to change the tapping connection of the transformer

winding for voltage regulation under load condition of medium and large size feeder and

network without interrupting its service. By introducing OLTC in an electrical system, it

improves the operating efficiency of that system. LM358N Dual Operational Amplifier was

used as comparator circuit, 8-bit PIC controller PIC16F877A was programmed to compare

and energise the relay. A high-voltage, high-current Darlington transistor array ULN2003

relay was used for this purpose.

PERSONAL INFORMATION

Permanent Address: Areeckal house

Makkave,Vappalassery P.O

Angamaly, Kerala

PIN: 683572

Date of Birth : 19-11-1990

Gender : Female

Languages known : English, Malayalam

REFERENCES :

Other Available on request.

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