Towards a Typology of eChannels of Distribution - An e-Tailer's Perspective. - Julian Ming-Sung Cheng; Stavros Kalafatis; Gwo-Ji Sheen; Laura Hsing-Jung Wu (Int. J. Electron. Bus. Manag., 2005)

QoS-aware ant routing with security constraints in optical fibre networks by using RGB pheromones. - Mohammed Al-Momin; Pavlos I. Lazaridis; John Cosmas; Zaharias D. Zaharis; Stavros Kalafatis; Albena Mihovska; Ian A. Glover (BlackSeaCom, 2016)

Global software engineering experience through international capstone project exchanges. - Dean Knudson; Stavros Kalafatis; Carsten Kleiner; Stephen Zahos; Barbara Seegebarth; Jonas Detterfelt; Iman Avazpour; Kristian Sandahl; Peter Gorder; Jeewani Anupama Ginige; Alex Radermacher; Hugo Caballero; et al. (ICGSE, 2018)

Red Teaming a Multi-Colored Bluetooth Bulb. - Ryan Vrecenar; Michael Hall; Joshua Zshiesche; Mahesh Naidu; Jeyavijayan Rajendran; Stavros Kalafatis (ICCD, 2019)

Distributed Computation and Dynamic Load balancing in Modular Edge Robotics. - Swarnabha Roy; Dharmendra Baruah; Steven Hernandez; Stavros Kalafatis (IRC, 2022)

A Dynamic Algorithm for Optimization of Network Traffic through Smart Network Switch Data Flow Management. - Souryendu Das; Weiting Lian; Stavros Kalafatis; Pavlos I. Lazaridis (NoF, 2022)

A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations. - Sambandh Bhusan Dhal; Kyle Jungbluth; Raymond Lin; Seyed Pouyan Sabahi; Muthukumar Bagavathiannan; Ulisses Braga-Neto; Stavros Kalafatis (Sensors, 2022)

IoT Security and Computation Management on a Multi-Robot System for Rescue Operations Based on a Cloud Framework. - Swarnabha Roy; Tony Vo; Steven Hernandez; Austin Lehrmann; Asad Ali; Stavros Kalafatis (Sensors, 2022)

A Deep Transfer Learning based approach for forecasting spatio-temporal features to maximize yield in cotton crops. - Krishna Chaitanya Gadepally; Sambandh Bhusan Dhal; Mahendra Bhandari; Juan Landivar 001; Stavros Kalafatis; Kevin J. Nowka (CISS, 2023)

Mixed Reality Equipment Training: A Pilot Study Exploring the Potential Use of Mixed Reality to Train Users on Technical Equipment. - Andrew Jerald Miller; Stavros Kalafatis (ICVARS, 2023)

Network Coding to Reduce Congestion and Improve Memory Buffer in Smart Switch. - Souryendu Das; Stavros Kalafatis (ISNCC, 2023)

Realistic Predictors for Regression and Semantic Segmentation. - Krishna Chaitanya Gadepally; Sambandh Bhusan Dhal; Stavros Kalafatis; Kevin J. Nowka (SERA, 2023)

An IoT-Based Data-Driven Real-Time Monitoring System for Control of Heavy Metals to Ensure Optimal Lettuce Growth in Hydroponic Set-Ups. - Sambandh Bhusan Dhal; Shikhadri Mahanta; Jonathan Gumero; Nick O'Sullivan; Morayo Soetan; Julia Louis; Krishna Chaitanya Gadepally; Snehadri Mahanta; John Lusher; Stavros Kalafatis (Sensors, 2023)

A Flexible Framework For Using NLP In XR. - Andrew Jerald Miller; Stavros Kalafatis (XR (1), 2024)

A Realistic Industrial Car Factory Digital Twin Simulation for Virtual Reality Applications and Robotic Training. - Florian Spiess 002; Swarnabha Roy; Mattias Hollmann; Christopher Cosway; Stavros Kalafatis (CASE, 2024)

Efficient Resource Allocation for Multi-Robot Collaboration via Traffic-Aware Pod Autoscaling. - Swarnabha Roy; Reece Dobson; Jack Campbell; Stavros Kalafatis (CIoT, 2024)

Optimizing Data Center Network Performance: A Comprehensive Analysis of Speed Testing, Caching, and Network Coding in Software Defined Networking. - Souryendu Das; Jacob Adamson; Aaron Lee; Vedant Vaideswar; Stavros Kalafatis (CNSM, 2024)

Speed Testing for Measuring Network Traffic in a Smart Network Switch. - Souryendu Das; Stavros Kalafatis (ICNC, 2024)

Shadow Cache and CEOFC Algorithm: Elevating OVS Performance through Intelligent Elephant Flow Retention and Hardware Offload. - Souryendu Das; Stavros Kalafatis (NFV-SDN, 2024)

NeurLZ: On Enhancing Lossy Compression Performance based on Error-Controlled Neural Learning for Scientific Data. - Wenqi Jia 003; Youyuan Liu; Zhewen Hu; Jinzhen Wang; Boyuan Zhang; Wei Niu 002; Junzhou Huang; Stavros Kalafatis; Sian Jin; Miao Yin (CoRR, 2024)

Testing the Performance of LSTM and ARIMA Models for In-Season Forecasting of Canopy Cover (CC) in Cotton Crops. - Sambandh Bhusan Dhal; Stavros Kalafatis; Ulisses Braga-Neto; Krishna Chaitanya Gadepally; Jose Luis Landivar-Scott; Lei Zhao 014; Kevin J. Nowka; Juan Landivar 001; Pankaj Pal; Mahendra Bhandari (Remote. Sens., 2024)

Synthetic Hand Gesture Datasets - Digits and ASL. - Pranav Vaidik Dhulipala; Samuel Oncken; Steven Claypool; Stavros Kalafatis (IEEE DataPort, 2024)

Smartly Managing Traffic and Latency in a Content-Based data center using Modified Packet Headers, Machine Learning, Load Balancing, and Network Telemetry. - Souryendu Das; Andrew White; Malcolm Lyn; Stavros Kalafatis (ICNC, 2025)