BIO

Personal Profile

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Name: SOUJANYA SYAMAL

Address: 11/15, K.N.Mukherjee Road, Talpukur, Barrackpore, 24 PGS(N), Kolkata 700123, West Bengal, India, PIN-700123

Mobile No. : +91-8697411510, +91-6291505784

E-Mail : soujanyasyamal@gmail.com, soujanya.syamal@infytechnism.org

Linkedin : www.linkedin.com/in/soujanyasyamal/

Website : www.soujanyasyamal.com

I am flexible, reliable and possess excellent time keeping skills. I am an enthusiastic, self-motivated, reliable, responsible and hardworking person. I am a mature team worker and adaptable to all challenging situations. I am able to work well both in a team environment as well as using my own initiative.

 

Education

2022 - 2023

Cranfield University, UK

2018 - 2022

Institute of Engineering and Management (IEM), Kolkata, India

2016 - 2018

Barrackpore Govt. High School, India

Masters in Science (MSc.)

Major- Connected and Autonomous Vehicle Engineering (Automotive)

School of Aerospace, Transport and Manufacturing,

Advanced Vehicle Engineering Centre

Cranfield University, UK

Bachelor in Technology (B.Tech.)

Department- Electronics and Communication Engineering

Grade- 9.2/10 CGPA (82.5%)

Higher Secondary

Major- Pure Science (Computer Science)

Marks- 76%

Experience

2019 - Present

Infytechnism

(infytechnism.org)

2021 - Present

Arthlex Research Pvt. Ltd

Chennai, India

2020 - 2021

Arthlex Research Pvt. Ltd

Chennai, India

Founder, Chief Executive Officer (C.E.O.), & President of Research and Development.

Research and Development Engineer.

R&D Department

Duties =
1. Designing algorithms for hardware-software interaction

2. Computer vision Algorithm

3. Research and development of software and Efficiency and implementation of Artificial intelligence for TBA PROJECT

4. Research on Product design and safety

5. Research on centralised intelligent processing unit for Project

6. Research on user experience

Internship - Researcher and Product scientist.

Project- Smart App controlled E-Bicycle

 

Research and Publications

2020 - IEEE Xplore

2021 - IEEE Xplore

2021 - IEEE Xplore

SPEED CONTROLLING & TRAFFIC MANAGEMENT SYSTEM (SCTMS)

IEEE 11th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference, Columbia University- Newyork, USA

DOI: 10.1109/UEMCON47517.2019.8993092

IoT Based Smart Security and Home Automation System

IEEE 11th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference, Columbia University- Newyork, USA

DOI: 10.1109/UEMCON47517.2019.8992994

Generalised Differential Cryptanalysis Check for Block Ciphers

2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), University of British Columbia (UBC), Canada

DOI: 10.1109/IEMCON.2019.8936149

 

Honours, Awards & Achievements

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2019

International Conference on English Learning & Teaching Skills 2019

BEST SESSION PAPER AWARD

Honor Issuer- ICELTS- IEM-Kolkata

June 2021

International Scientist Awards on Engineering, Science and Medicine 2021

Emerging Scientist Award

Honor Issuer- VDGOOD  Professional Association - International Scientist Awards on Engineering, Science and Medicine

December 2021

R&D Engineer, Arthlex

INTELLECTUAL PROPERTY AWARD

Honor Issuer- Arthlex Research Pvt. Ltd., India

For, Successfully Filing 5 patents together in EV Field

2019

SMART- International Makers' Faire, USA
Project Showcase

Research Project (physical) Showcase and Exhibition in Columbia University, Newyork, USA

May 2022

Graduation, B.Tech

Director's Award for Best Student Contribution

Honor Issuer- Institute of Engineering & Management, Kolkata

For, excellent performance and contribution towards the institution.

 
 

Patents

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December 2021

Indian Patent

December 2021

Indian Patent

SYSTEM AND METHODS FOR MEASURING ROAD CONDITION

id- 202141056351 · Filed Dec 4, 2021

Physimetric And Biometric Locking System And A Method Therefor

202141056352 · Filed Dec 4, 2021

December 2021

Indian Patent

Automatic Navigation Haptic System And A Method Therefor

202141056349 · Filed Dec 4, 2021

December 2021

Indian Patent

Wireless Charging System For Electric Cycle/Car

202141056348 · Filed Dec 4, 2021

December 2021

Indian Patent

SYSTEMS AND METHODS FOR MANAGING AUTONOMOUS VEHICLES

202141056350 · Filed Dec 4, 2021

The present invention provides systems and methods for measuring road conditions. The method may include receiving the navigation route information from the user. The method may include receiving one or more sensor data on the road condition. The method may include determining the road condition using machine learning techniques. The method may include suggesting an alternative route to the user using machine learning techniques. The method may include sharing the road condition information to the cloud system.

The present disclosure provides a discloses physimetric and biometric locking system and a method therefor. In an embodiment, the present disclosure uses a combination of different unique Identification method and combine every unique identification factor it produces a product that cannot be breeched without physical existence of the owner. Hence, the disclosed techniques provide more secure locking system.The present disclosure provides a discloses physimetric and biometric locking system and a method therefor. In an embodiment, the present disclosure uses a combination of different unique Identification method and combine every unique identification factor it produces a product that cannot be breeched without physical existence of the owner. Hence, the disclosed techniques provide more secure locking system.​​

The present disclosure generally relates to automatic navigation Haptic system and a method therefor. In accordance with an embodiment of the present disclosure, after starting the journey, the disclosed haptic navigation system may guide the rider/driver with 3D haptic sense feedback on whether the rider/drives have to turn right or left. In the traditional method of navigation, rider has to look the screen and drive, which is not safe. So, the disclosed navigation system navigates the driver with sense vibration feed to let the driver understand when and which direction they have to turn/move.

In an embodiment, the present disclosure discloses wireless charging system for electric cycle/car. The disclosed charging system may let user to charge its electric vehicle in 100% hassle free experience. In an embodiment, the system may a mat on which the user may drop/park the vehicle and the vehicle may start charging itself with optimized way. The disclosed mat like device may be conveniently placed on a floor just like rugs and carpet where the vehicle may be parked. The user may park the vehicle on the top of the mat and the vehicle may start charging wirelessly from the mat.

The present invention provides systems and methods for managing autonomous vehicles. The method may include receiving one or more sensor data indicating an environment of the vehicle The method may include processing the received sensor data using sense-learn-act model to drive a car autonomously through the streets of a smart city. The method may include synchronizing a transportation and traffic control systems simultaneously and in real-time. The method may include controlling and managing the traffic by an advanced cloud system.

Courses, Licenses and Certifications

October 2021

Stanford University

Machine Learning

Credential ID ZLYNE9LX4A9J, Issuer- Coursera

course Instructor- ANDREW NG

Associate Professor
Computer Science Department

Stanford University

February 2021

IEM-Kolkata

Artificial Intelligence

Credential ID 3219kj87, Issuer- Institute of Engineering and Management, Kolkata

October 2020

IEM-Kolkata

Internet of Things

Credential ID 90909kkjn98, Issuer- Institute of Engineering and Management, Kolkata

 

Projects

See All of my Projects in Details
Please click the link below ->

Jan 2021 - May 2022

Final Year Project (Thesis)

B.Tech

Autonomous Toy Car using Computer Vision and Deep learning techniques.

In this project, a toy car is converted into a self-driving car capable to move autonomously under a constrained environment. Self-driving capability is developed using computer vision and deep learning techniques. Initially, tracks are deployed on the surface in order to gather data through video streaming by using a webcam. From these video, images are extracted for classification of data into four different classes, i.e; right, left, forward and stop. This classified data is converted into required format using computer vision algorithms such that the data consists of only bright Hough lines on a black image. This data is then trained using Convolutional Neural Network such that the trained model is able to predict in real-time whether to move the steering of the car left, right, forward or stop, accordingly. This project does not include any sensor and is totally computer vision based. The training and inference is done using a core i5 laptop. The trained model takes the input images from live feed and predicts which direction to choose or stop. The trained model after prediction generates a string and through serial communication the string is sent to Arduino. Finally, the Arduino processes the wrappers embedded in its code according to the string received from the trained model and sends control signals to the motors of the toy car to move or stop according to the prediction.

July 2021 - Aug 2021

Self Project

Fake News Detection Using Machine Learning Ensemble Methods

The rise of false information in everyday access media venues like social media feeds, news blogs, and online newspapers has made it difficult to identify reliable news sources, necessitating the development of computer algorithms that can assess the authenticity of online content. We focus on the automatic detection of false information in internet news in this research. We make a two-fold contribution. First, we present two new datasets for the purpose of detecting fake news, each of which covers seven different news categories. We give many explanatory analyses on the identification of linguistic discrepancies in false news content, as well as a detailed description of the collecting, annotation, and validation procedure. Second, we run a series of learning experiments in order to develop reliable fake news detectors. Furthermore, we
presented comparisons of the automatic and manual detection of fake news.

Jun 2021 - oct 2021

Internship Project

Arthlex

Smart Electric Bicycle (App-Controlled)

An Electric Bicycle, Which can be monitored and controlled using an app. Also, the cycle acts as an IoT device, which can communicate between devices. The cycle has adaptive cruise control and ADAS features, Using Computer vision technology.

Jan 2019 - Aug 2019

Research Project

Showcased in SMART Makers' Faire, USA (Columbia University)

Automated Delivery Drone

A Hexa rotor flying machine (UAV) capable of lifting a package from a place transporting and dropping it to another location using ‘Way Point’ flying technology using Global Positioning System. Using custom 3D printed mechanical parts and arms, the package can be picked up and dropped off upon arriving on the destination.

Jan 2019 - May 2019

Self Project

IoT: Smart Home with Voice Control System

Smart home with traditional home appliances.

May 2021 - June 2022

Self Project

Stock Analysis using Python, LSTM model

Stock price Analysis is a machine learning project; in this Project, we developed a stock cost prediction model and build an interactive dashboard for stock analysis. We implemented stock market prediction using the LSTM model. OTOH, Plotly dash python framework for building dashboards.
To build the stock price prediction model, I used the NSE TATA GLOBAL dataset. This is a dataset of Tata Beverages from Tata Global Beverages Limited, National Stock Exchange of India To develop the dashboard for stock analysis I used another stock dataset with multiple stocks like Apple, Microsoft, Facebook

 
 

SKILLS

Electric Car

CONNECTED & AUTONOMOUS VEHICLE
 

Computer Robot

DEEP LEARNING & MACHINE LEARNING
 

Futuristic World

ROBOTICS & IOT
 

Computer Sketch

ARTIFICIAL INTELLIGENCE
 

Prosthetic Hand

HUMAN-COMPUTER INTERACTION
HARDWARE-SOFTWARE INTERACTION

Laptop

PYTHON, C 
 

Letter of
Recommendations
(Click on the letter to read)

 

Prof. Dr. Malay Gangopadhyay
Head of the Department, Electronics and Communication Engineering
Institute of Engineering & Management- Kolkata

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Dr. Himadri Nath Saha
Head of the Department, Computer Science
SNEC, Calcutta University

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Indranil Basu
Professor, Department of Electronics and Communication Engineering

Institute of Engineering and Management- Kolkata

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Prof. Sanghamitra Poddar
Head of the Department, Student Affairs and Alumni Relations
Institute of Engineering & Management- Kolkata

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TESTIMONIALS

“It was pleasant working with Soujanya for almost a year. He is very good at analytical, and problem-solving skills. Definitely a key team player. The Best thing about him is DEDICATION. The most dedicated person I have ever seen."

Dr. Bringham Nest

“A Man of Innovations and Innovative thinking. He always thinks out of the box idea, which is efficient, smart and new. Has excellent problem-solving skills. He always has a great solution, to every problem. A great team player, and definitely a true leader."

V.Kumar, Innovations Head, Arthlex

 

Get in Touch

+91 8697411510

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