Tamoghna

Tamoghna Sarkar

I'm a Ph. D. student @USC ECE, an Embedded IoT Researcher, an Ocassional HackMaster, an Indian Classical Violinist, a Photography lover

About Me

Tamoghna

Hi all, I'm a Ph.D. student, ECE@University of Southern California, working in Autonomous Networks Research Lab with Dr. Bhaskar Krishnamachari . I love working on exciting problem statements involving Distributed Systems and Embedded IoT. Know more about my past research experience through my workπŸš€

Autonmous Networks, Edge & Mobile Computing

90%

Embedded IoT(Healthcare, Wearables, Smart City, Agriculture)

95%

Distributed Systems

85%

Experience

Aug 2021 - Present

Ph. D., University of Southern California (ECE), Los Angeles, USA

Graduate Research Assistant

At Autonomous Networks Research Lab advised by Dr. Krishnamachari.

Graduate Teaching Assistant (sometimes)

For courses EE597 (Wireless Networks) and EE250 (Distributed Systems and IoT)

Jan 2019 - May 2019

Visiting Scholar & Research Intern, UC Berkeley, Berkeley, USA

Worked on various Entrepreneurship and Technology Innovation startups and worked as an IoT-ML intern at Citris Labs, Berkeley Engineering.

June 2016 - May 2020

B.Tech, SRM IST(EIE), Chennai, India

Ranked top 3%(First Class with Distinction) in the entire batch, CGPA:3.7/4, Dept. Rank~ 8/125.

Oct 2020 - Present

ML Engineer & Founding Member@Bharat Ventures, IIM~A, India

Nov 2020 - May 2021

Embedded IoT-Edge ML Researcher@Quasistatics Inc, Seattle, USA

Sept 2020 - May 2021

Research Assistant(IoT Networks, Fog Computing, Edge-ML)@Cognitive and AI Lab, Jadavpur University, Kolkata, India

May 2020 - Aug 2020

IoT & Distributed Computing Research@IIT~Kharagpur, India

Jan 2019 - May 2019

ML-IoT Research@Citris Lab, Berkeley, USA

Aug 2017 - May 2020

IoT Researcher@NextTech Lab, SRM IST, India

Nerdy Narratives: Commits & Manuscripts

CUDDOS

Portfolio-title
Title

ANRG + DARPA

Using a carefully designed testbed of 51 Raspberry Pi (RPi) devices, we mimic the complexities of a large-scale IoT system. To the best of our knowledge, this work is the first to deploy Edge Machine Learning for DDoS detection in a testbed of such a size replicating some of the complexities and intricacies of real-world IoT networks. We have designed the flow-level traffic and complexities of networked devices to closely mirror real-world scenarios. Furthermore, we introduce real-time inference capabilities by deploying the trained LSTM/MM-WC model on each Rpi device. This enables each node to autonomously detect DDoS attacks using real-time traffic, further enhancing the practicality of our framework.

Accepted in [SenSys'23: The 21st ACM Conference on Embedded Networked Sensor Systems]

DARSAN

Portfolio-title
Title

ANRG + SONY R&D Brussels Lab

We introduce DARSAN, a decentralized review system designed for Non-Fungible Token (NFT) marketplaces, to address the challenge of verifying the quality of highly resalable products with few verified buyers by incentivizing unbiased reviews.

Published in [International Conference on Blockchain ICBC 2023: Blockchain – ICBC 2023 Lecture Notes in Computer Science book series (LNCS, volume 14206)]

MAGNUM

Portfolio-title
Title

SWAN Lab

Under the supervision of Dr. Sudip Misra CSE Dept., developed a distributed framework for enabling Transfer Learning in B5G Powered Industrial-IoT(first of its kind).

A demand based delivery mechanism was demonstrated for distributing models among fog nodes.

An Optimization algorithm using Integer-Linear-Programming was developed for minimization of Transmission timein B5G networks.

Published in [IEEE Transactions on Industrial Informatics,October 2021]

BOLT

Portfolio-title
Title

CITRIS Labs, Berkeley + Collider Pitch

Developed an IoT sports wearable through Body Area Network, WSN with fog nodes in constrained environments.

Implemented AI on the edge, developed a novel algorithm to predict anomalies in regular athlete metrics.

Designed a storage based Resource Allocation algorithm, a Path Hopping Optimization algorithm for transmissionof files from cloud to end user via fog nodes, a Transmission Latency Optimization algorithm in 5G Network.

SUBSCRIPT

Portfolio-title
Title

What is it about?

Aims to help eradicate language barriers for English as foreign language speakers, AR glasses with real-time subtitles.

Developed a Neural Network model for Voice Recognition and real-time language translation.

RiCognEyes(UCLA, SRM IST)

Portfolio-title
Title

What is it about?

The entire system was processed on a low power Raspberry Pi Zero edge computer.

Implemented pre-trained Mask R-CNN using COCO dataset with 94% accuracy.

Implemented Image Captioning, OCR in the model and designed a text-to-speech feedback mechanism after imageclassification through audio output(I2S) for the visually impaired to navigate.

Published in [Information, Communication and Computing Technology. ICICCT 2020. Communications in Computer and Information Science, vol 1170. Springer, Singapore]

CARL

Portfolio-title
Title

What is it about?

Worked under Dr. P. Venkateswaran on a ML framework involving cloud-fog architecture for handling high volume Industrial-IoT data from multiple industrial sensors.

Developed of Neural Networks, Markov Decision Processes on FPGAs, for establishing model randomness with probabilistic distributions. Worked on Convex Optimizations towards reduction in communication, prediction latency.

Psst! Behind the scenes: I am fascinated about contributions towards Federated Learning implementations in Robust Networks!

Publications(2 Ongoing)

Correlation-Aware Neural Networks for DDoS Attack Detection In IoT Systems

Submitted to IEEE Transactions on Networking, Journal, Coming Soon!

[Waiting to be Accepted: Will be here soon with Git repo!]

CUDDoS: Correlation-aware Ubiquitous Detection of DDoS in IoT Systems

Accepted in SenSys'23(The 21st ACM Conference on Embedded Networked Sensor Systems), Conference Demo Paper, Nov 2023

[Getting Camera Ready: Will be here soon with Git repo!]

DARSAN: A Decentralized Review System Suitable for NFT Marketplaces

Published in International Conference on Blockchain ICBC 2023: Blockchain – ICBC 2023 Lecture Notes in Computer Science book series (LNCS, volume 14206), Conference, Sept 2023

[Link to Paper]

MAGNUM: A Decentralized Framework for Transfer Learning in B5G Powered Industrial IoT

Published in IEEE Transactions on Industrial Informatics, Journal, Oct 2021

[Link to Paper]

Design and Development of a Smart Eye Wearable for the Visually Impaired

Published in Information, Communication and Computing Technology. ICICCT 2020. Communications in Computer and Information Science, vol 1170. Springer, Singapore, Conference, Sept 2020

[Link to Paper]

Achievements

UI/UX design

MS/PhD offer at IIT-KGP(2021)

Computer Science Department

UI/UX design

SF HACKS, San Francisco State University(2019)

Best Hardware Hack

UI/UX design

LA HACKS, University of California, Los Angeles(2019)

Hackathon Winner

UI/UX design

Berkeley Study Abroad Fellowship

UC Berkeley

UI/UX design

Research Intern@National University of Singapore

School of Computing

UI/UX design

Collider Cup Finalist, UC Berkeley

SCET, UC Berkeley

UI/UX design

Travel Scholarship

ETHDenver 2019

UI/UX design

Directors Scholarship, SRM IST

19,900USD for studying@UCB

UI/UX design

Erdaletz Scolarship

Phi Kappa Sigma Berkeley Associates

References

customer-name

Dr. Sudip Misra

Professor@IIT Kharagpur(CSE), Cornell, Yale University

From Tamoghna's work under my supervision at IIT-Kharagpur, I can attest to his integrity and ambition towards research. The persistence and goal achieving nature of his will definitely be valuable to any group that he joins. I have every confidence in Tamoghna and give my highest recommendations. Good luck! πŸ”₯

customer-name

Dr. Shreyas Sen

GeorgiaTech Alumnus, Elmore Associate Professor@Purdue University

Looking at Tamoghna's journey till today from his early school, undergraduate days I can clearly envision him as an upcoming prolific researcher in his field. His profile reflects hardwork, determination and the steps he climbed to reach where he is today. I can comment that with the kind of extra miles he puts into his research, Tamoghna has in him the potential to churn out the finest results.

customer-name

Ken Singer

Professor@UC Berkeley, Director@Sutardja Center for Entrepreneurship and Technology

Tamoghna was the youngest member in all his teams but was the top excelling student in his classes at UC Berkeley. I've seen him grow throughout the last 3 years. Be it in-depth research or practical application, Tamoghna is your guy! πŸ”₯

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Dr. Angik Sarkar

Purdue University alumnus, CEO of numeorus Bay Area Startups

A perfect blend of Research, Application and Innovation = Tamoghna. Throughout his work at Quasistatics Inc, Tamoghna set deadlines for himself and sincerely met every deadline and thus completed the assigned targets for the projects on time. He worked with us on 2 MVPS for 7 months and looking at his dedication in IoT and Wearables, I'm sure about his bright future as an impactful Researcher in the community. I wish him all the best for his Doctoral studies at USC.

customer-name

Dr. P.A Sridhar

Professor@SRM IST(EIE), RMIT(Australia)

Tamoghna was among the top 2 percent of his batch and completed his bachelors with the highest grade. I will remember his stubborn, obsessive nature to troubleshoot and take a deeper look into any problem. Guiding Tamoghna throughout the last 2 years, I am certain that he is ready to make an impact in the research community. A versatile individual with a plethora of application-based skills along with cutting-edge research. All the best! πŸ‘

Get In Touch

Let's talk about everything!

Send me an email. πŸ‘‹

Tamoghna Sarkar, Ph. D. student ECE@USC