Dynamic Path Selection Algorithm for Bene-Networks. - Amitabha Chakrabarty; Martin Collier; Sourav Mukhopadhyay (CICSyN, 2009)

Symmetric Rearrangeable Networks: Algorithms and Rearrangement Limits. - Amitabha Chakrabarty; Martin Collier; Sourav Mukhopadhyay (ITNG, 2010)

Adaptive Routing Strategy for Large Scale Rearrangeable Symmetric Networks. - Amitabha Chakrabarty; Martin Collier; Sourav Mukhopadhyay (Int. J. Grid High Perform. Comput., 2010)

Cost Efficient Implementation of Multistage Symmetric Repackable Networks. - Amitabha Chakrabarty; Martin Collier (Int. J. Grid High Perform. Comput., 2011)

Low Complexity Routing Algorithm for Rearrangeable Switching Networks. - Amitabha Chakrabarty; Martin Collier (AINA, 2013)

O(log m. log N) routing algorithm for (2 log N-1)-stage switching networks and beyond. - Amitabha Chakrabarty; Martin Collier (J. Parallel Distributed Comput., 2014)

Service Based FOG Computing Model for IoT. - Tasnia Heya Ashrafi; Md. Arshad Hossain; Sayed Erfan Arefin; Kowshik Dipta Jay Das; Amitabha Chakrabarty (CIC, 2017)

FOG based distributed IoT infrastructure. - Tasnia Heya Ashrafi; Sayed Erfan Arefin; Kowshik Dipta Jay Das; Md. Arshad Hossain; Amitabha Chakrabarty (ICC, 2017)

Image Processing Based Indoor Localization System for Assisting Visually Impaired People. - Tasnia Heya Ashrafi; Sayed Erfan Arefin; Amitabha Chakrabarty; Mazidul Alam (UPINLBS, 2018)

Agent Based Fog Architecture using NDN and Trust Management for IoT. - Sayed Erfan Arefin; Tasnia Heya Ashrafi; Amitabha Chakrabarty (TENCON, 2019)

An Algorithm for Mapping a Traffic Domain Into a Complex Network: A Social Internet of Things Approach. - Sifatul Mostafi; Farzana Khan; Amitabha Chakrabarty; Doug Young Suh; Md. Jalil Piran (IEEE Access, 2019)

An Indoor Positioning and Navigation System Using Named Data Networking. - Sifat Ut Taki; Amitabha Chakrabarty; Md. Jalil Piran; Quoc-Viet Pham; Doug Young Suh (IEEE Access, 2020)

Identifying Bikers Without Helmets Using Deep Learning Models. - Md. Iqbal Hossain 002; Raghib Barkat Muhib; Amitabha Chakrabarty (DICTA, 2021)

Learning-driven Spatio-temporal Feature Extraction for Violence Detection in IoT Environments. - Dipon Kumar Ghosh; Amitabha Chakrabarty; Nafees Mansoor; Doug Young Suh; Md. Jalil Piran (ICTC, 2021)

Prediction Approaches for Smart Cultivation: A Comparative Study. - Amitabha Chakrabarty; Nafees Mansoor; Muhammad Irfan Uddin; Mosleh Hmoud Al-Adhaileh; Nizar Alsharif; Fawaz Waselallah Alsaade (Complex., 2021)

A Deep Neural Network Approach for Crop Selection and Yield Prediction in Bangladesh. - Tanhim Islam; Tanjir Alam Chisty; Amitabha Chakrabarty (CoRR, 2021)

Stacked Convolutional Autoencoder with Multi-label Extreme Learning Machine (SCAE-MLELM) for Bangla Regional Language Classification. - Prommy Sultana Hossain; Amitabha Chakrabarty; Md. Jalil Piran; Doug Young Suh (SPML, 2022)

A Deep Learning Approach to Integrate Human-Level Understanding in a Chatbot. - Afia Fairoose Abedin; Amirul Islam Al Mamun; Rownak Jahan Nowrin; Amitabha Chakrabarty; Moin Mostakim; Sudip Kumar Naskar (CoRR, 2022)

Two-stream Multi-dimensional Convolutional Network for Real-time Violence Detection. - Dipon Kumar Ghosh; Amitabha Chakrabarty (CoRR, 2022)

Environmental sound classification using convolution neural networks with different integrated loss functions. - Joy Krishan Das; Amitabha Chakrabarty; Md. Jalil Piran (Expert Syst. J. Knowl. Eng., 2022)

A Spatio-Temporal Graph Convolutional Network Model for Internet of Medical Things (IoMT). - Dipon Kumar Ghosh; Amitabha Chakrabarty; Hyeonjoon Moon; Md. Jalil Piran (Sensors, 2022)

Real-Time Mastitis Detection in Livestock using Deep Learning and Machine Learning Leveraging Edge Devices. - Kawshik Kumar Ghosh; Md. Fahim Ul Islam; Abrar Ahsan Efaz; Amitabha Chakrabarty; Shahriar Hossain (ISMICT, 2023)

Aggregating Different Scales of Attention on Feature Variants for Tomato Leaf Disease Diagnosis from Image Data: A Transformer Driven Study. - Shahriar Hossain; Md Tanzim Reza; Amitabha Chakrabarty; Yong Ju Jung (Sensors, 2023)

Enhancing Intrusion Detection: A Robust Ensemble Learning Approach with Explainable AI and Strategic Fused Voting-Stacking Mechanism. - Nafiz Imtiaz Rafin; Swattic Ghose; Ahsanul Islam; Md. Fahim Ul Islam; Md. Golam Rabiul Alam; Amitabha Chakrabarty (ICCA, 2024)

A Comprehensive Approach Toward Wheat Leaf Disease Identification Leveraging Transformer Models and Federated Learning. - Md. Fahim Ul Islam; Amitabha Chakrabarty; Sarder Tanvir Ahmed; Rafeed Rahman; Hyun-Han Kwon; Md. Jalil Piran (IEEE Access, 2024)

Semantic Segmentation on Panoramic Dental X-Ray Images Using U-Net Architectures. - Rafiatul Zannah; Mubtasim Bashar; Rahil Bin Mushfiq; Amitabha Chakrabarty; Shahriar Hossain; Yong Ju Jung (IEEE Access, 2024)

An interpretable fusion model integrating lightweight CNN and transformer architectures for rice leaf disease identification. - Amitabha Chakrabarty; Sarder Tanvir Ahmed; Md. Fahim Ul Islam; Syed Mahfuzul Aziz; Siti Sarah Maidin (Ecol. Informatics, 2024)

Wildfire Detection Powered by Involutional Neural Network and Multitask Learning With Dark Channel Prior Technique. - Md. Fahim Ul Islam; Noshin Tabassum; Amitabha Chakrabarty; Syed Mahfuzul Aziz; Mahdieh Shirmohammadi; Nasim Khonsari; Hyun-Han Kwon; Md. Jalil Piran (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Vision Transformers, Ensemble Model, and Transfer Learning Leveraging Explainable AI for Brain Tumor Detection and Classification. - Shahriar Hossain; Amitabha Chakrabarty; Thippa Reddy Gadekallu; Mamoun Alazab; Md. Jalil Piran (IEEE J. Biomed. Health Informatics, 2024)

A Resource-Efficient Federated Learning Framework for Intrusion Detection in IoMT Networks. - Md. Fahim Ul Islam; Amitabha Chakrabarty; Md. Golam Rabiul Alam; Siti Sarah Maidin (IEEE Trans. Consumer Electron., 2025)