Hardware Security Artificial Intelligence ML Acceleration

VINAYAKA JYOTHI

Ph.D. — Researcher, builder, and entrepreneur
bridging the gap between silicon and intelligence.

01 The Story

From the chip labs of
NYU to the AI startups
of Bengaluru

Vinayaka Jyothi's journey starts where most people never look — inside the chip. At NYU Tandon School of Engineering, he earned his Ph.D. studying how to make hardware trustworthy: detecting trojans hidden in integrated circuits, fingerprinting FPGAs to prove authenticity, and building network security systems that operate at wire speed.

Over a dozen research papers. Ten patents spanning hardware trust and AI systems. 502 citations. An h-index of 12. Research stints at USC's Information Sciences Institute and The Hong Kong Polytechnic University. The academic track was prolific and impactful.

But Vinayaka saw a wider canvas. He moved from securing chips to building with them — architecting fleet-tracking systems on AWS IoT at Fleetco.in, developing AI-powered medical imaging tools at Ai-Bharata, and now leading AI and ML science at Snow Mountain AI. The thread connecting it all: a deep understanding that intelligence, whether artificial or embedded, must be built on trusted foundations.

502 Citations
10 Patents
12 h-index
3 Ventures
Ph.D. Electrical Engineering NYU Tandon School of Engineering 2017
M.S. Electrical Engineering Polytechnic Institute of NYU 2011
B.E. Electronics & Communication Visvesvaraya Technological University 2009
02 Research

Selected Publications

2025

CyberDome: Cloud Based Intrusion Detection and Mitigation

3rd International Conference on Sustainable Computing and Data Communication Systems

V. Karibandi, V. Jyothi, S. Miriyala, R. Mallisetti, C. Kanchipati

Conference
2024

Gesture Prognosis: Interactive Sign Language Learning using Real-Time Gesture Recognition

4th International Conference on Ubiquitous Computing and Intelligent Information Systems

V. Karibandi, V. Jyothi, A. Adepu, Y. Adla, N. Challa, Y. Thomas

Conference
2017

DPFEE: A High Performance Scalable Pre-Processor for Network Security Systems

IEEE Transactions on Multi-Scale Computing Systems, Vol. 4(1)

V. Jyothi, S. Addepalli, R. Karri

Journal
2017

Hardware Trojan Attacks in FPGA and Protection Approaches

The Hardware Trojan War: Attacks, Myths, and Defenses (Springer)

V. Jyothi, J. Rajendran

Book Chapter
2017

Fingerprinting Field Programmable Gate Arrays

IEEE International Conference on Computer Design (ICCD)

V. Jyothi, A. Poojari, R. Stern, R. Karri

Conference
2017

TAINT: Tool for Automated INsertion of Trojans

IEEE International Conference on Computer Design (ICCD)

V. Jyothi, P. Krishnamurthy, F. Khorrami, R. Karri

Conference
2016

FPGA Trust Zone: Incorporating Trust and Reliability into FPGA Designs

IEEE International Conference on Computer Design (ICCD)

V. Jyothi, M. Thoonoli, R. Stern, R. Karri

Conference
2016

BRAIN: BehavioR Based Adaptive Intrusion Detection in Networks

IEEE International Conference on VLSI Design (VLSID)

V. Jyothi, X. Wang, S. Addepalli, R. Karri

79 Citations
Conference
2015

Deep Packet Field Extraction Engine (DPFEE): A Pre-Processor for Network Intrusion Detection and Denial-of-Service Detection Systems

IEEE International Conference on Computer Design (ICCD)

V. Jyothi, S. Addepalli, R. Karri

Conference
2014

Intra-die Process Variation Aware Anomaly Detection in FPGAs

IEEE International Test Conference (ITC)

Y. Pino, V. Jyothi, M. French

Conference
2011

Design and Analysis of Ring Oscillator Based Design-for-Trust Technique

IEEE VLSI Test Symposium (VTS)

J. Rajendran, V. Jyothi, O. Sinanoglu, R. Karri

109 Citations
Conference
2011

Blue Team Red Team Approach to Hardware Trust Assessment

IEEE International Conference on Computer Design (ICCD)

J. Rajendran, V. Jyothi, R. Karri

Conference

Patents

2023

Systems and Methods for Artificial Intelligence with a Flexible Hardware Processing Framework

US Patent 11,544,525

S. Addepalli, V. Jyothi, A. Poojari

Patent
2022

Real-Time Customizable AI Model Collaboration and Marketplace Service over a Trusted AI Model Network

US Patent 11,423,454

S. Addepalli, V. Jyothi

Patent
2022

Systems and Methods of Security for Trusted Artificial Intelligence Hardware Processing

US Patent 11,507,662

S. Addepalli, V. Jyothi

Patent
2021

Systems and Methods for Power Management of Hardware Utilizing Virtual Multilane Architecture

US Patent 11,150,720

S. Addepalli, V. Jyothi

Patent
2020

System, Method and Computer-Accessible Medium for Network Intrusion Detection

US Patent 10,735,438

S. Addepalli, R. Karri, V. Jyothi

Patent
2020

Systems and Methods for Artificial Intelligence Hardware Processing

US Patent App. 16/528,543

S. Addepalli, V. Jyothi, A. Poojari

Patent
2020

Secure and Trusted Multi-Tenant Service Delivery Platform for Distributed AI Solution Model Compute Processors

US Patent App. 16/789,371

S. Addepalli, V. Jyothi, A. Poojari

Patent
2020

Lightweight, High-Speed and Energy Efficient Asynchronous AI Processing Interface Framework

US Patent App. 16/528,551

S. Addepalli, V. Jyothi, A. Poojari

Patent
2020

Systems and Methods for Continuous & Real-Time AI Adaptive Sense Learning

US Patent App. 16/528,549

S. Addepalli, V. Jyothi, A. Poojari

Patent
2015

Ring Oscillator Based Design-for-Trust

US Patent 9,081,991

V. Jyothi, R. Karri, J. Rajendran, O. Sinanoglu

Patent
03 Ventures

Building Things
That Matter

Co-Founder & CEO

Ai-Bharata

Next-generation AI products for healthcare. Built MyAiRa, an AI-driven automated diagnosis tool that delivers X-ray analysis results in seconds, even on mobile networks. Created Medishare, a secure platform for medical radiology scan sharing.

TensorFlow PyTorch FastAPI Flutter
Lead AI & ML Scientist

Snow Mountain AI

AI-powered business application development. Leading the research and engineering of machine learning systems that transform how businesses operate and make decisions.

Machine Learning AI Systems Python
Principal Software Architect

Fleetco.in

Architected an event-based fleet tracking system integrated with the Government of Karnataka's Department of Mining and Geology. Real-time IoT telemetry at scale.

AWS IoT Docker WebSocket Angular
04 Open Source

On GitHub

C

Hardware-Security

Hardware Security Labs — practical exercises for understanding hardware vulnerabilities, side-channel attacks, and trust assessment.

31
Verilog

FPGA-TrustFuzion

Incorporating trust, security, and reliability into FPGA designs through novel verification and validation techniques.

1
Tcl

hapi-des

Hardware API (HAPI): PYNQ hardware overlay with DES accelerator — bridging software interfaces and hardware cryptographic engines.

7
Resources

Deep-Learning-Resources

A curated collection of resources for getting started with deep learning — papers, tutorials, frameworks, and practical guides.

7
Verilog

V7_ETHERNET

VC707 Ethernet Xilinx Project — high-speed networking on Virtex-7 FPGAs for research and prototyping.

5
Python

easyai

A framework to make even a common person experiment with deep learning — democratizing AI research and development.

1
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