Dipanjan Adhikary

Dipanjan Adhikary

PhD Student in Computer Engineering

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About Me

I am a PhD student at the Performance and Resource Optimization in Networks (PROTON) Lab at Arizona State University under the guidance of Dr. Eirini Eleni Tsiropoulou .

Research Interests

Resource Management in Modern Communication Systems
Over-the-Air Computation
Non-Orthogonal Multiple Access (NOMA)
Wireless Physical Layer & ISAC Systems
QoS Improvement & Network Optimization
Reinforcement Learning & Game Theory
Internet of Things (IoT) & Embedded Systems
Information Security & Privacy

Education

Educational Timeline

PhD in Computer Engineering

Current

Arizona State University

January 2025 - Present

School of Electrical, Computer and Energy Engineering. Specializing in resource optimization in communication systems.

PROTON Lab

PhD in Electrical and Computer Engineering

Transferred

University of New Mexico

August 2024 - December 2024

Department of Electrical and Computer Engineering. Transferred to Arizona State University to continue research.

Master of Science in Communication Technology

Completed

Norwegian University of Science and Technology (NTNU)

August 2021 - July 2023

Department of Information Security and Communication Technology. Specialization in Information Security with thesis on Bluetooth mesh networks.

Thesis on QoS in Bluetooth Mesh

Bachelor of Science in Electrical and Electronic Engineering

Completed

Bangladesh University of Engineering and Technology (BUET)

July 2014 - January 2019

Major: Communication Systems, Minor: Electronics.

Skills & Technologies

Technical Skills & Expertise

Programming Languages

Core development languages and frameworks

Python
C
C++
MATLAB
Simulink

Wireless & Networking

Communication protocols and network technologies

Bluetooth Mesh
Digital Signal Processing
MQTT
Wireless Protocols
Software Defined Radio

Systems & Platforms

Operating systems and embedded platforms

Linux
Embedded Systems
Zephyr RTOS
VMware

Development & Analysis

Data analysis and development tools

Data Analysis
Git
Machine Learning
Research Methodology

Professional Experience

Work Experience Timeline

Arizona State University

Graduate Research Assistant

January 2025 - Present Tempe, Arizona, USA
Research Position

Currently working as a Graduate Research Assistant in the PROTON Lab at Arizona State University, conducting research in resource optimization and communication systems.

Research Focus: Working on resource management in modern communication systems, over-the-air computation, and Non-orthogonal Multiple Access (NOMA)
Academic Integration: Combining coursework with practical research applications in wireless communication
Lab Collaboration: Contributing to ongoing research projects in the Performance and Resource Optimization in Networks (PROTON) Lab

University of New Mexico

Graduate Teaching Assistant

August 2024 - December 2024 Albuquerque, New Mexico, USA
Academic Position

Served as a Graduate Teaching Assistant for ECE-341 Communication Systems in the Department of Electrical and Computer Engineering, supporting undergraduate coursework and laboratory sessions.

Teaching Support: Graded weekly homework assignments and performed invigilator duties during exams for ECE-341 Communication Systems
Student Mentoring: Provided guidance and support to undergraduate students in their academic pursuits
Academic Development: Gained valuable teaching experience while pursuing PhD coursework

Nordic Semiconductor ASA

Project Student

August 2022 - July 2023 Trondheim, Norway
Master's Thesis

Collaborated with the Bluetooth mesh R&D team to develop innovative message prioritization methods for high-traffic scenarios, achieving significant QoS improvements in network performance.

QoS Enhancement: Developed two novel message prioritization algorithms that significantly improved network performance under heavy traffic conditions
Technical Skills: Gained expertise in Zephyr RTOS, nRF Connect SDK, and Bluetooth mesh protocol
Research Impact: Published thesis work contributing to wireless communication optimization research

AiBA AI - Safe Digital Lives

Summer Intern

June 2022 - July 2022 Gjøvik, Norway
Internship

Focused on automatic detection of online abuse material using AI and machine learning approaches, contributing to safer digital environments.

Dataset Development: Collected, processed, and documented datasets for training abuse detection models
Market Analysis: Conducted comprehensive competitor analysis and technology landscape research
AI Research: Investigated automated approaches for online toxicity detection systems

Publications

Research Publications & Papers

6 Total • 4 Conference • 1 Journal • 1 Thesis

Journal Publications

Jamming Attacks Detection and Ejection in Over the Air Computation Concentrated Solar Power Systems

IEEE Internet of Things Journal, 2025 (Accepted)

IEEE IoT Security Over-the-Air Computation Solar Power
View Publication

Conference Publications

Denial of Service Attacks in Over-the-Air Computation for Internet of Medical Things

IEEE Globecom 2025 (Accepted)

IEEE IoMT Security Over-the-Air Computation
View Publication

DRAGON: Data and Resource Allocation in ISAC Systems based on Game Theory and Learning

IEEE International Conference on Communications (ICC) 2025

IEEE ISAC Game Theory Machine Learning
View Publication

Coopetition Based Inter-Operator Traffic Sharing for Energy Efficient Cellular Networks

13th International Conference on Signal Processing and Communication Systems 2019 (IEEE ICSPCS 2019)

IEEE Energy Efficiency Cellular Networks Game Theory
View Publication

Text to Braille Scanner with Ultra Low-Cost Refreshable Braille Display

2018 IEEE Global Humanitarian Technology Conference (IEEE GHTC 2018)

IEEE Accessibility Humanitarian Tech
View Publication

Thesis

Message Prioritization In Bluetooth Mesh Networks

Master's Thesis, NTNU Open, 2023

Bluetooth Mesh QoS Networking
View Publication

Featured Projects

Portfolio Projects & Innovations

Ultra Low-Cost Refreshable Braille Display

Developed a low-cost braille device with text-to-braille converter using novel sliding arrangement technology.

Hardware Accessibility Innovation

Pseudo One-Time Pad Cipher Machine

Built an Enigma-inspired cipher machine using only non-programmable ICs with cellular automata key randomization.

Cryptography Digital Electronics Security

Bone Age Estimation Using Deep Learning

Used RSNA dataset and MobileNets CNN to determine bone age from X-ray images with high accuracy.

Deep Learning Medical AI Computer Vision

Digital Break Room Platform

Designed video conferencing platform for remote employees using MQTT broker and agile methodology.

Web Development MQTT Remote Work