Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Mainak Adhikari

Assistant Professor Grade I

Indian Institute of Science Education and Research Thiruvananthapuram

No Info

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in Artificial Intelligence

Articles (20)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Collaborators (3)

Mohammad Ayoub Khan

Deputy Director

SAUDI ARABIA

View details

Deepak Puthal

UNITED ARAB EMIRATES

View details

Tarachand Amgoth

Associate Professor

Indian Institute of Technology (Indian School of Mines), Dhanbad

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Mainak Adhikari

Research Interests

Make your next move.

Explore related searches

Articles (20)

AgriFSL-Net: Few-Shot Learning Enabled Paddy Leaf Disease Recognition in Edge-Based Network

Optimized Multi-Scale Convolutional Neural Network-Wavelet Feature Fusion With Reinforcement-Based Explainable Selection

Staleness-Aware Semi-Asynchronous Federated Learning With Adaptive Learning Rates and Non-IID Data in Edge Networks

An Efficient and Robust Few-Shot Information Fusion for Paddy Disease Detection

Federated Learning Using Nesterov’s Momentum for Non-IID Data Handling in Edge Networks

Fusion of Edge Computing and Wireless Body Area Networks for Real-Time Data Processing

MarTA-Net: A Terrain-Aware U-Net Enhanced with Convolutional Block Attention Modules for Martian Surface Segmentation

Large Model-Assisted Federated Learning for Object Detection of Autonomous Vehicles in Edge

Decentralized Gossip-Assisted Deep Learning Model Training for Resource-Constraint Edge Devices

Real-Time Detection and Monitoring of Contagious Diseases Using Wearable Sensors and Lightweight Model in Edge Networks

FedTune-SGM: A Stackelberg-Driven Personalized Federated Learning Strategy for Edge Networks

A Hybrid Semi-Asynchronous Federated Learning and Split Learning Strategy in Edge Networks

Zero-Touch Self-Organizing Networks in 6G: Integrating Edge Computing and Artificial Intelligence

Nanorobot-Based Intelligent Symptoms Analysis and Recommendation Framework in Edge Networks

Fair Scheduling and Computation Co-Offloading for Industrial Applications in Fog Networks

Real-Time Paddy Field Irrigation Using Feature Extraction and Federated Learning Strategy

Edge-Centric Intelligent Early Warning System for Residual Soil Stability Prediction in Slope

Multi-View Ensemble Federated Learning for Efficient Prediction of Consumer Electronics Applications in Fog Networks

Blockchain for Cybersecurity in Edge Networks

Edge-Centric Collaborative Federated Learning for Irrigation Management of Paddy Fields Using Agriculture Sensor Data Processing

Collaborators (3)

Mohammad Ayoub Khan

Deepak Puthal

Tarachand Amgoth

Make your next move.