Dr. Arul Elango | Satellite Tracking Awards | Best Researcher Award

Dr. Arul Elango, Vignan’s Foundation for Science, Technology and Research, India

Dr. G. Arul Elango is an accomplished academic and researcher specializing in GPS signal processing and advanced computer science. He currently serves as an Associate Professor in the Advanced Computer Science and Engineering Department at Vignan’s Foundation for Science, Technology & Research, where he applies his extensive expertise in spatial data analysis and algorithm design. Dr. Elango completed his postdoctoral research at the University of Helsinki, Finland, and previously held a postdoctoral fellowship at the École de Technologie Supérieure in Montreal, Canada. He earned his Ph.D. in Electronics and Communication Engineering from Pondicherry Engineering College, focusing on enhancing GPS receiver performance under degraded conditions. With a robust professional background that includes teaching roles at various institutions in India, he has actively contributed to numerous high-profile research projects, including collaborations with the Natural Sciences and Engineering Research Council of Canada and the European Space Agency. Dr. Elango’s work is widely recognized in the fields of deep learning and geospatial data security, and he has supervised multiple graduate students, fostering the next generation of engineers and researchers.

Professional Profile:

SCOPUS

Best Researcher Award

Based on Dr. G. Arul Elango’s impressive academic and professional credentials, I strongly recommend him for the Best Researcher Award. His qualifications and contributions to the field of GPS signal processing and geospatial data analysis demonstrate his suitability for this recognition. Below are the key highlights from his Curriculum Vitae that support this recommendation.

Education 🎓

Postdoctoral Research
Spatiotemporal Data Analysis Group, Department of Computer Science, University of Helsinki, Finland
April 2021 – April 2023
Post-Doctoral Research Fellow
Laboratory of Space Technologies, Embedded Systems, Navigation, and Avionic (LASSENA), École de Technologie Supérieure, Montreal, Canada
January 2020 – April 2021
Ph.D. in GPS Signal Processing
Electronics and Communication Engineering, Pondicherry Engineering College (affiliated with Pondicherry Central University), India
2017
- Thesis: Software-Based GPS Receiver Acquisition and Positioning Performance Enhancement under Degraded Conditions.
Master of Engineering in Applied Electronics
College of Engineering, Guindy, Anna University, Chennai, India
June 2004
- Achieved First Class Honors.
Bachelor of Engineering in Electronics and Communication
National Engineering College (affiliated with Manonmaniam Sundaranar University), Tamil Nadu, India
2000
- Achieved First Class Honors.

Work Experience 💼

Associate Professor
Advanced Computer Science and Engineering Department, Vignan’s Foundation for Science, Technology & Research
July 2023 – Present
Associate Professor
Electronics and Communication Engineering Department, Sree Vidyanikethan Engineering College, Tirupati, India
January 2017 – November 2019
Research Scholar
Electronics and Communication Engineering Department, Pondicherry Engineering College, Pondicherry, India
January 2012 – June 2015
Associate Professor and Head
Electronics and Communication Engineering Department, Renganayagi Varatharaj College of Engineering, Sivakasi, Tamil Nadu, India
June 2015 – October 2016
Assistant Professor
Electronics and Communication Engineering Department, National Engineering College, Kovilpatti, Tamil Nadu, India
January 2010 – January 2012
Senior Lecturer
Electronics and Communication Engineering Department, Kalasalingam University, Tamil Nadu, India
June 2007 – January 2010
Design Engineer
NewTech Software Private Limited, Bangalore, India
July 2004 – June 2007

Achievements and Awards 🏆

Successfully designed algorithms for GNSS Software Defined Radio with anti-jamming capabilities under the Natural Sciences and Engineering Research Council of Canada.
Developed AI/Deep Learning algorithms for Ionospheric Anomaly Detection using GNSS SDR for the European Space Agency.
Contributed to resilience and security of geospatial data for critical infrastructures through deep learning algorithm design and deployment.

Publication Top Notes:

Design of a Smart Energy Meter and Monitoring System for Industrial and Residential Use Based on the Internet of Things

A new multipath channel estimation and mitigation using annihilation filter combined tracking loop implementation in software GPS receivers

Quasi-Real RFI Source Generation Using Orolia Skydel LEO Satellite Simulator for Accurate Geolocation and Tracking: Modeling and Experimental Analysis

Disruptive GNSS Signal detection and classification at different Power levels Using Advanced Deep-Learning Approach

A survey for recent techniques and algorithms of geolocation and target tracking in wireless and satellite systems

Dr. Emma Asbridge, University of Wollongong, Australia

An early career researcher with expertise in remote sensing, spatial science, physical geography, and Earth and environmental geosciences, Dr. Emma Asbridge currently serves as a Post-Doctoral Research Fellow at the University of Wollongong (UOW). Since April 2022, has been leading an ARC Discovery Project focused on mapping, measuring, and modeling mangrove responses to sea-level rise and climatic variability. With a strong commitment to advancing knowledge in coastal management and environmental processes, [he/she/they] employs state-of-the-art remote sensing technologies, field surveys, and remotely piloted aircraft (RPA) to study the dynamics of coastal ecosystems. Dr. Emma Asbridge is skilled in GIS and remote sensing software, programming in Python, and has substantial experience in managing and analyzing geospatial data. research efforts have resulted in the successful acquisition of six grants over the past two years, alongside contributions to teaching and supervising multiple honors and PhD projects. is passionate about fostering a culturally inclusive research environment and is dedicated to building strong collaborations with governmental agencies and international partners to promote effective coastal governance.

Summary of Suitability for Best Researcher Award :

This candidate is an early career researcher specializing in remote sensing, spatial science, physical geography, and Earth and environmental geosciences. Their expertise includes utilizing advanced remote sensing techniques, such as field surveys and remotely piloted aircraft (RPA), to assess environmental dynamics in coastal ecosystems. Specifically, they focus on relationships between vegetation dynamics, sediment processes, geomorphology, hydrology, and climate change impacts. They have significant teaching and supervisory experience, guiding Honours, Masters, and Ph.D. projects, as well as a proven track record in securing research funding.

Work Experience

Post-Doctoral Research Fellow
School of Earth, Atmospheric and Life Sciences, University of Wollongong (UOW)
April 2022 – Present

Leading the ARC Discovery Project: ‘Mapping, Measuring and Modelling Mangrove Response to Sea-Level Rise and Climatic Variability’.
Responsibilities include developing new approaches to mapping and modeling mangrove distribution, collaborating with government agencies, supervising research projects, and contributing to curriculum development.

Teaching Assistant
Assisted in teaching, practical supervision, administration, and student evaluation.
Supervised honours and PhD research projects.

Visiting Researcher
Japanese Veterinary Medical Association, Tokyo, Japan
Yamaguchi University, Yamaguchi, Japan

Conducted research related to large animal clinics and reproductive technologies.

Achievements

Successful integration of various spatial data types to analyze changes in mangrove environments.

Developed methodologies for measuring mangrove vertical elevation ranges.

Awarded 6 research grants (internal and external) over the past two years.

Completion of training focused on culturally responsive HDR supervision.

Publication top Notes: