Dhinesh Kumar R

What's New

Partnered with Forest Research Institute (FRI), Dehradun to solve the forest related issues with the help of AI assistive technologies (Aug, 2024).
Won the Second Price in IDEATHON 2024 conducted by School of Electronincs Engineering at VIT (20-21 June 2024).
Presented our cutting-edge prototype "AdaptiSync: AI based Real Time ATCS using Edge Computing" at the prestigious R&D Innovation Fair, IInvenTiv, hosted by IIT Hyderabad. Where we showcased our product to Shri. Dharmendra Pradhan, Union Education Minister, Government of India. (19-20 Jan 2024).
Provided session on Research Area: Intelligent Transportation Systems - Adoptable for Autonomous Vehicles to Volvo R&D Groups assisted by Dr. Rammohan A.
Presented my research work in the prestigious conference - 14th ICCCNT, (IIT, Delhi) held on July 5 - 8th, 2023.

Honors

Obtained Raman Research Award & Dr. APJ Abdul Kalam Research Award for the research publications
Obtained prestigious academic grant "Great Britain Scholarship" for the year 2017 awarded by British Council (UK)

About

I possess extensive expertise in Telecommunication, Deep Learning, Machine Learning, Computer Vision, Edge Computing, Embedded Software, Statistics, Probability, and Network Management. My experience spans developing models from scratch and deploying them in real-world applications. Currently, I focus on Intelligent Transportation Systems (ITS), where I integrate advanced technologies such as 5G, Edge/Cloud Computing, AI, and emerging 6G innovations to enhance vehicular network architectures. I collaborate with research groups like NITS Lab and T-SIMLAB TEG at IIT Roorkee for cutting-edge research and product development. Previously, I had the opportunity to collaborate with the Defence Science and Technology Laboratory (DSTL), UK, where I applied advanced Deep Learning techniques to address defence-related challenges in telecommunications. I also bring significant expertise in software development, having worked with leading IT industries and R&D sectors. With my diverse skill set, I am committed to advancing sustainable infrastructure solutions. My work spans Smart Cities, Smart Traffic Infrastructure, intersection movement assistance for vehicles, UAV-based tracking and communication, and autonomous vehicle applications. I continuously push the boundaries of technology to address these critical areas.

Research Engineer

C-V2X/AI/ATCS/TELECOM/EDGE COMPUTING/AUTONOMOUS VEHICLE

Degree: PhD in Edge AI for V2X, India, MS in Mobile and Satellite Communications, UK, BE in Electronics and Communications Engineering, India.

With over three years of professional experience in both technical and management domains, I have honed my skills and qualities necessary for various roles. This has instilled in me the confidence to tackle critical projects and overcome challenging technical problems. In addition, I have actively engaged with customers, conducted extensive training sessions, and delivered presentations and webinars. I have also participated in research and business development activities, drawing on case studies. These experiences have continually fueled my passion for "Innovation". I firmly believe that with dedication and effort, anything can be accomplished.

Applied / Ongoing Research Grants New

1. AI driven Decision Support System (DSS) for Urban Heat Island (UHI) mitigation bridging adaption gap through Geospatial Analysis and IoT integration (2024) (Filed) - Co-Principal Investigator.

Patents (Filed/Published/Granted)

1. System for next-generation UAV deployment utilizing a novel decentralized multi-agent framework in rural and highway vehicular networks (2024) (Filed).

2. Wireless Edge Computing-Based Adaptive Traffic Control System with Real-Time Vehicle Tracking and Cloud Integeration (2023) (Application No: 202311079549).

3. System for Adaptive Resource Allocation for Enhancing Quality of Service in a Vehicular Communication Network (2023) (Application No: 202341076465).

Facts

Research Works in Numbers

People Guided

Significant Projects

Publications

Patents Filed

Programming Skills

My proficiency in programming languages can be quantified in the scale of 10, which reflects my level of expertise.

Python

MATLAB

C++

JavaScript

R Programming

Resume

Summary

Dhinesh Kumar R

Innovative and deadline-driven software developer with 3+ years of experience in software development and in the development of research oriented product solutions for the welfare of the society.

Autonomous Vehicle Research Centre (AVRC), India

Education

PhD in Edge Computing based Context Aware QoS improvement for V2X Communications

2021 - Present

Autonomous Vehicle Research Lab (AVRC), India

Obtained "Dr. APJ Abdul Kalam and Raman Research Award for the Publications"

Specialization:ITS, C-V2X, B-5G, N2N and some specific areas are 1. Predictive Spectrum Splicing 2. Edge Computing 3. AI-assisted Clustering Intelligence 4. Developing Agent based Learning algorithms.

Skills Include: MATLAB, Python, Deep Learning, multi-agent learning models, patents, research proposals, Research methods, analytical and problem-solving.

Masters in Mobile & Satellite Communications

2017 - 2019

University of Surrey, UK

Alumni of "Great Britain Scholarship 2017"

Specialization: Modulation and Channel coding, Fundamentals of Mobile communication, Applied Maths -Matrix and its applications, stochastic process, Detailed study on OSI layers (Physical Layers), Data and Network Security, Advanced 5G Wireless Technologies, OFDM and its application, Advanced Mobile Communication, Fundamentals and Advanced Satellite Communication, Physical Layer Security in Satellite Broadcasting.

Skills Include: MATLAB, Wireshark, Python, Operations of Modem and Spectrum Analyzer for Satellite Test Bed, LabVIEW, Deep Learning, Research methods, analytical and problem-solving.

Bachelors in Electronics & Communication Engineering

2012 - 2016

Anna University, India

Achieved "Distinction” with CGPA of 8.56 out of 10

Specialization: Digital Signal Processing, Digital Communication, Signal and Systems, Cryptography, Computer Networks, Microprocessor, Operating System.

Skills Include: MATLAB, PSPICE, C, Lab VIEW, XILINK.

Diploma in Hardware Technology

2012

SysSoft Computers, India

Achieved “Distinction”

Specialization: PC Assembling and troubleshooting, Computer Networks, Database Administration, Basics of Electronics and Microprocessor.

Software Environment & Hardwares Experiences

Software Environment: Visual Studio, AWS, DB2, NETSIM, NS3, OMNET++, Tableau, R Studio, Pycharm, TensorFlow, Eclipse, Advanced Excel, Micro-Python, Thonny.

Hardware: Jetson Nano, Rasperry Pi, Ardino, Jetson Xavier NX, Jetson Pegasus, Lidar, Intel Real-Sense Camera, Spectrum Analyser.

Transversal Technical Skills

Artificial Intelligence (ML/DL), Data Science, Software configurations, Real time and embedded software development, Digital communications, Software testing, Business Intelligence, Database Management.

Professional Experience

Assistant Professor - Research Core

Aug 2024 - Present

UPES, Dehradun

Designing and developing cutting-edge software solutions for optimizing large-scale, data-driven simulations. Leading research collaborations with startup partners and with government bodies for IoT systems, and smart city initiatives.

Visiting Research Intern

2023 - 2024

iHUB DivyaSampark, Indian Institute of Technology (IIT), Roorkee

Lead in the design, development, and implementation of the T-CPS for Intelligent Mobility and Efficient Traffic Control in Smart Cities: A Promising Future. Design, development and deployment of the ATCS algorithms with the integration of "Edge Computing" technology utilizing Jetson Xavier NX Module and AWS.

Lead Researcher

2022 - Present

Skill Lync

Subject matter expert in Computer Vision Models, Project Execution and Real time deployments to Professionals, Industry Delegates, Researchers and Students.

Research Associate

2021 - Present

Autonomous Vehicle Research Lab (AVRL), VIT, India

Framing up the End to End test bed for the C-V2X communications. Major works in 1. Predictive Spectrum Splicing 2. Edge Computing 3. AI assisted Clustering Intelligence. Works Assignments include : - Extensive Software development - Simulation/Execution - Preparation of Research Articles.

Wireless Development Engineer

2020

Mirabilis Design Inc, United States

Design and development of 5G - End to End physical layer architecture to analyze throughput, latency and power with 3GPP specifications and techniques. Trainer for VisualSim libraries and 5G system models to US and Asian clients. Backend software developer for the development of VisualSim library blocks.

Junior Engineer

2019 - 2020

Sree Raghavendra Engineering Services, India

Logic programming and data analysis for energy management systems. Preparation of project documentation based on system studies and fault analysis.

Project Student

2017 - 2019

Defence Space and Technology Laboratory (DSTL), UK

Design and development of Blind Classification of various Modulation and Channel Coding Schemes using Deep Learning Techniques. Extensive works include: Software Development, Research, Modelling, Real time testing and Project Expo.

Project Engineer

2016 - 2017

Wipro Technologies Limited, India

Software Development, Root Cause Analysis, Agile workflow, Database Management, System Integration Testing and Regression Testing.

Publications & Research Works

This section showcases my recent research works and publications in top-tier conferences and journals, providing a comprehensive overview of my research contributions.

All
Conference
Journal

Subhranil Das, Rashmi Kumari, Raghwendra Kishore Singh, Dhinesh Kumar R, Gauri Shanker Gupta. "Optimizing Bearing Health Measurement: A Statistical Feature Extraction Perspective". Engineering Applications of Artificial Intelligence (2024). (Impact Factor: 7.5) (In Review)

Dhinesh Kumar R, Rammohan A. "Optimizing UAV Deployment for Maximizing Coverage and Data Rate Efficiency using Multi Agent Deep Deterministic Policy Gradient and Bayesian Optimization". Frontiers of Information Technology & Electronic Engineering (2024). (Impact Factor: 3) (In Review)

Dhinesh Kumar R, Rammohan A. "Edge enabled Fully Distributed Multi-Agent Deep Reinforcement Learning Network for Quality-of-Service optimization in heterogenous Vehicular Networks ". Engineering Applications of Artificial Intelligence (2024). (Impact Factor: 7.5) (In Review)

Dhinesh Kumar R, Rammohan A, Hafiz Husnain Raza Sherazi, Zuhaib Ashfaq Khan "Optimizing Intersection Safety through Next-Gen Vehicular Communications: A Simulation-Based Evaluation of Intersection Movement Assist Systems". 3rd IEEE International Conference on Artificial Intelligence for Internet of Things (AIIoT 2024), IEEE (2024).

Dhinesh Kumar R, Rammohan A. "Revolutionizing Intelligent Transportation Systems with Cellular Vehicle-to-Everything (C-V2X) Technology: Current Trends, Use Cases, Emerging Technologies, Standardization Bodies, Industry Analytics and Future Directions". Vehicular Communications (2023). (Impact Factor: 6.7)

Dhinesh Kumar R, Rammohan A. "A Conceptual UAV based Resource Allocation Framework for Next-Generation Heterogeneous V2V Communication Architecture". The 14th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IIT Delhi. IEEE (2023).

Dhinesh Kumar R, Suresh Chavhan and Joel J.P.C. Rodrigues. "Integration of 5G Standalone and Non-Standalone Network Architectures for V2X Networks." 7th International Conference on Smart and Sustainable Technologies (SpliTech). IEEE, (2022).

Dhinesh Kumar R, Suresh Chavhan. "Shift to 6G: Exploration on trends, vision, requirements, technologies, research, and standardization efforts". Sustainable Energy Technologies and Assessments 54. (2022): 102666. (Impact Factor: 8.00)

Dhinesh Kumar R, Suresh Chavhan, Deepak Gupta, Ashish Khanna and Joel J.P.C. Rodrigues. "An intelligent self-learning drone assistance approach towards V2V communication in smart city." Proceedings of the 4th ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond. ACM, (2021).

Dhinesh Kumar R. "5G Technology: A Key Evolution for IOT."International Journal of Communication and Networking System, Volume: 08, Issue: 01, Pages 32-42, ISSN: 2278-2427 (2019).

Ravi K, Ponmanaselvan, Dhinesh Kumar R. "Fermat and his contributions to Mathematics."Bulletin of the Marathwada Mathematical Society Vol. 16, No. 2, Pages 22-29 (2015).

Jamuna, Ravi K, Dhinesh Kumar R. "Functional Equations in Wireless Sensor Networks."Bulletin of the Marathwada Mathematical Society Vol. 14, No. 2, Pages 86-93 (2013).

Journal Reviewer

- Technical Reviewer in IEEE Transaction on Fuzzy Systems (Impact Factor: 11.9).

- Technical Reviewer in Alexandria Engineering Journal (Impact Factor: 6.8).

- Technical Reviewer in Peer J – Computer Science Journal (Impact Factor: 3.061).

- Technical Reviewer in Science China Information Sciences – Telecom/Engineering (Impact Factor: 8.8).

- Technical Reviewer in Archives of Current Research International (Impact Factor: 2.0).

Testimonials

My testimonials represents the recommendation letters that attest to my professional achievements and capabilities. The collection of valuable recommendations obtained from various professors demonstrates my commitment to excellence and the recognition that I have received from esteemed peers in the field.