Research Work

Published Papers

Annual Investments on R&D

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Enhancing System Reliability and Uptime
DNK
Improving Security and Threat Mitigation
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Driving Innovation and Economic Growth
microscope
Enhancing System Reliability and Uptime
DNK
Improving Security and Threat Mitigation
atom
Driving Innovation and Economic Growth
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We are committed to confronting the significant hurdles in the realms

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Environment Classification

Digital Twin In Tactical Wireless Communication

GNN – Wireless Topology Optimization

Intelligent Signal Classification and Topology Reconstruction

Planning Resilient Wireless Network Topologies Using RL

Underwater Communication

Optical (infrared light) IRS , Underwater Channel Model

Secure Ad-hoc Underwater Tactical Wireless Networks

Joint comms-apps optimization

Multi RAT Routing optimization

Network slicing – Tactial network

MADOC task scheduling (SAT, UAV, Ground)

Differential Privacy for docitive networks

Decentralized control drones, app data layer

Multi-agent optimization

Docitive ML Strategy for URLLC (Ultra-Reliable and Low-Latency Communications)

Adhoc in 5G and 6G

5G localization/latency vs LPI/LPD optimization

Securing Traffic Routing in Tactical Network

RAN Slicing in Tactical Network

URLLC in UAV-enabled MEC for 6G Networks & MADOC

O-RAN traffic steering

LPI/LPD

Deep learning PHY waveform

Mesh waveform

Routing in Tactical Mobile Wireless Sensor Networks

Dynamic MAC Management using AI in Wireless Mesh Networks

Multi-channel mobile routing

ECCM

ECCM & Game theory

Empowering Innovation: Key Pillars of the Resilient Machine Learning Institute

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Enhancing System Reliability and Uptime

Research in AI and ML contributes to the development of communication systems that can predict, detect, and automatically respond to disruptions, ensuring continuous operation and minimizing downtime in critical infrastructures.

DNK
Improving Security and Threat Mitigation

AI and ML enable advanced threat detection and response mechanisms, helping to safeguard communication networks against increasingly sophisticated cyberattacks, ensuring data integrity and confidentiality.

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Driving Innovation and Economic Growth

By improving the resilience of communication systems, AI and ML research fosters technological advancements, supports the digital economy, and facilitates the development of new products and services, contributing to overall economic prosperity and competitiveness.

Our Publications

Welcome to the vibrant world of scholarly exploration at ReMI Institute. Our publications showcase the intellectual prowess and research endeavors of Students and Researchers alike, spanning diverse disciplines and cutting-edge topics. Dive into a repository of insightful articles, groundbreaking studies, and thought-provoking analyses, meticulously crafted by the brightest minds in academia. From innovative methodologies to groundbreaking discoveries, our publications serve as a testament to the relentless pursuit of knowledge and the unyielding commitment to scholarly excellence. Join us on a journey of discovery, where each publication illuminates new pathways and contributes to the ever-evolving landscape of academic inquiry.

Environment classification

Digital Twin In Tactical Wireless Communication

GNN - Wireless Topology Optimization

Intelligent Signal Classification and Topology Reconstruction

Planning Resilient Wireless Network Topologies Using RL

Adhoc in 5G and 6G

5G localization/latency vs LPI/LPD optimization

Securing Traffic Routing in Tactical Network

RAN Slicing in Tactical Network

URLLC in UAV-enabled MEC for 6G Networks & MADOC

O-RAN traffic steering

Joint comms-apps optimization

Multi RAT Routing optimization

Network slicing - Tactial network

MADOC task scheduling (SAT, UAV, Ground)

Differential Privacy for docitive networks

Decentralized control drones, app data layer

Mesh waveform

Routing in Tactical Mobile Wireless Sensor Networks

Dynamic MAC Management using AI in Wireless Mesh Networks

Multi-channel mobile routing

Multi-agent optimization

Docitive ML Strategy for URLLC (Ultra-Reliable and Low-Latency Communications)

Underwater Communication

O-RAN traffic steering

Optical(infrared light) IRS , Underwater Channel Model

LPI/LPD

Deep learning PHY waveform

ECCM

ECCM & Game theory

Our Scientists

At our Resilient Machine Learning Institute, scientists excel in pioneering research, crafting advanced machine learning solutions to enhance system resilience. Their expertise spans across computational intelligence, cybersecurity, network sciences, and applied data science, driving innovation and setting new standards in resilient technologies.

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test-tube Chemistry testing

medicine Biological evaluation

atom-2 Electrical signals

test-tube-big Toxicological assessment

By Research Areas

01
Environment classification

Researching and developing machine learning models that can adapt to changes in the environment and maintain performance under stress or attack.

02
Joint comms-apps optimization

Utilizing AI and ML to predict, detect, and respond to cyber threats in real time, enhancing the security of communication networks

03
Adhoc in 5G and 6G

Employing machine learning techniques to optimize network resources, manage traffic efficiently, and ensure robust and reliable communication services.

04
Underwater Communication

Using machine learning to predict system failures and detect anomalies in infrastructure, allowing for proactive maintenance and minimizing downtime.

05
Multi-agent optimization

Researching and developing machine learning models that can adapt to changes in the environment and maintain performance under stress or attack.

06
LPI/LPD

Researching and developing machine learning models that can adapt to changes in the environment and maintain performance under stress or attack.

07
Mesh waveform

Researching and developing machine learning models that can adapt to changes in the environment and maintain performance under stress or attack.

08
ECCM

Researching and developing machine learning models that can adapt to changes in the environment and maintain performance under stress or attack.

By Faculty

01
Department of Computational Intelligence

Specializing in the development of intelligent algorithms and systems that learn and adapt to their environment to enhance resilience.

02
Department of Cybersecurity and Resilience

Focused on researching advanced cyber defense mechanisms and resilient strategies to protect machine learning systems from cyber threats.

03
Department of Network Sciences

Dedicated to the study of network behavior, optimization, and the design of robust communication infrastructures using machine learning techniques.

04
Department of Applied Data Science

Concentrating on the practical application of data analytics and machine learning in real-world scenarios to improve system resilience and efficiency.

Resource Library

Upcoming Scientific Events

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