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Coding Station

WELCOME TO MY HOMEPAGE

I'm Sayantika

a Computer Science Ph.D. Student 

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Sayantika Mandal

Research Scholar in AI,

 IIT Bombay, India

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About

About Me

MY BACKGROUND

Hi! I hail from the capital city of India. Currently pursuing a doctoral degree in Computer Science Engineering at IIT Bombay under the guidance of Prof. Swaprava Nath, my research interests are in AI: Game Theory and Mechanism Design and Deep Learning for real-world applications. After graduating from Shiv Nadar University, Delhi NCR with a B.Tech (highest distinction) in Electronics and Communication Engineering and a minor in Computer Science Engineering, I was a Junior Research Fellow (JRF) at IIT Patna under the guidance of Dr. Udit Satija for nearly half a year before joining IIT Bombay as a doctoral student. In addition to gaining valuable research experience in the field of Deep Learning and its applications in healthcare and communication, this opportunity provided me with insight into Ph.D. life and the skills needed for success. 
Apart from research, I try making time to sing, record music and create some art like sketches and mandalas. By the way, I am a B.A. in Classical Music (vocals)!

Education & Experience

Education

MY ACADEMIC JOURNEY

2023-Present

Indian Institute of Technology, Bombay – Mumbai, India; Ph.D.;  Computer Science & Engineering (Artificial Intelligence)

Research: Incentive-Driven Influence Maximization in Social Networks

Thesis Supervisor: Prof. Swaprava Nath

CPI: 8.04​

2018–2022

Shiv Nadar University – Sydney, Delhi NCR, India; B.Tech.;

Major:  Electronics & Communication Engineering;

Minor: Computer Science & Engineering

CGPA: 9.51

2016-2018

Sardar Patel Vidyalaya, Delhi, India; Class of 2018;

Subjects: Physics, Chemistry, Maths, Comp. Science

12th Percentage: 96%

10th CGPA: 9.8

Experience

MY EXPERIENCE

Jun. 2022–Dec. 2022

Indian Institute of Technology, Patna,

Project Research Assistant

Jan. 2022–May 2022

International Institute of Information Technology Bangalore, Research Intern

Jun. 2021–August 2021

Indian Institute of Technology, Patna,

Summer Research Intern

Jan. 2021–May 2021

Shiv Nadar University, Delhi NCR,

Junior Teaching Assistant - Digital Electronics

Aug. 2019–Jun. 2020

Shiv Nadar University, Delhi NCR,

Undergraduate Researcher

Projects

Projects

RESEARCH & COURSE PROJECTS

Jan 2024 - May 2024; IIT Bombay

RnD Project:

“Revenue maximization of banking products over social networks";

Advisor: Prof. Swaprava Nath

Collaboration: State Bank of India (SBI) and IIT Bombay Innovation Hub

Jun 2022 - Dec 2022; IIT Patna

Research Projects:

“Design and Implementation of Specific Emitter Identification System for Detecting Malicious UAVs/Drones and Transmitters";

"Development of wearable Intelligent Electro-Encephalograms Signal Analysis IoT-Enabled System for Unsupervised Mental Health Monitoring and Behaviour Analysis”

Advisor: Prof. Udit Satija

Jan 2022 - Jun 2022; IIIT Bangalore

Web Development Research Project:

“Gratia: Computing social capital on the web”

Advisors: Prof. S. Srinivasa (IIIT Bangalore), Prof. Dinkar Prasad (SNU)

Aug 2021 - Nov 2021; SNU, Delhi NCR

B.Tech. Minor Project:

"Development of an autonomous agent for Traffic Light Signal Control using Deep Reinforcement Learning"

Advisor: Prof. Madan Gopal

May 2021 - Jul 2021; IIT Patna

Summer Research internship:

"Development of a smartphone-based Application Framework for Real-Time Detection of Attention Deficit Hyperactivity Disorder (ADHD)"

Advisor: Prof. Udit Satija

Aug 2019 - Apr 2020; SNU, Delhi NCR

Opportunity of Undergraduate Research (OUR):

“Study of scaling ability and size effect in self-assembled phase change memory nanorods”

Advisor: Prof. A. Kanjilal

May 2019 - July 2019; University of Delhi

Summer Internship:

“C++ Programming for X-ray cross sections generated in Ion-Atom Collision Experiments”

Publications

RESEARCH PAPERS PUBLISHED & PRESENTED

JOURNAL PAPERS:

S. Mandal and U. Satija, "Time–Frequency Multiscale Convolutional Neural Network for RF-Based Drone Detection and Identification," in IEEE Sensors Letters, vol. 7, no. 7, pp. 1-4, July 2023, doi: 10.1109/LSENS.2023.3289145.

S. Mandal, G. P. Kumar, M. Saini, U. Satija and Y. Kumar, "A Unified Deep Learning Framework for Smartphone-Enabled ADHD Detection," in IEEE Transactions on Instrumentation and Measurement (IEEE TIM), vol. 73, pp. 1-11, 2023, doi: 10.1109/TIM.2023.3338713. 

CONFERENCE PAPERS:

S. Mandal and U. Satija, “Multi-scale Deep Learning-based Specific Emitter Identification with Dynamic IoT Environments,” in IEEE International Conference on Advanced Networks and Telecommunications Systems (IEEE ANTS), Accepted 2024 (not presented)

PRESENTED POSTERS/PAPERS:

Poster presentation entitled “Influence Maximization of Banking Products Over Social Networks” at the The Fifth Indian Symposium on Machine Learning (IndoML’24), organized by BITS Pilani, Goa Campus from 21-23 December, 2024.

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Oral presentation entitled “Using C++ Programming for Calculating Scientific Parameters Related to Ion-Atom Collision Experiments: A Self-Sufficient Package” at the National Conference on “Emerging Trends in Information Technology (NCETIT’19), organized by Kalindi College, University of Delhi.

Abstract published at Pg. No. 33.

​

Poster presentation entitled “Atomic Cross-section Calculations using C++ simulations” at the International Conference on Atomic, Molecular, Optical and Nano Physics with Applications (CAMNP'19), organized by the Department of Applied Physics, Delhi Technological University, New Delhi from 18-20 December, 2019.

Abstract published at Pg. No. 106.

Skills & Languages

MY SKILLS AND LANGUAGES

Machine Learning & Deep Learning

Frameworks: Tensorflow, Keras, PyTorch

Programming Languages: Java, Python, C, C++, MATLAB, LaTeX

Web Development: HTML, CSS, JavaScript; 

Android Development: Android Studio

Database Management: MySQL

Operating Systems: Windows, Linux

AI Concepts: Game Theory & Mechanism Design, Natural Language Processing

Languages: Hindi, English, Bengali, Punjabi

Hindi

English

Skills & Languages
Awards & Interests

Awards

MY ACHIEVEMENTS

Megan Kacholia Ph.D. fellowship awardee (2023)

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Highest Distinction in B.Tech. ECE (2022)

​

Dean's List awardee in 6 out of 7 semesters of B.Tech.

Interests

MY INTERESTS

Singing

Playing musical instruments
 

Creating Artwork

Creative Writing

Video Editing

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