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

Posted on 18/12/2024 by ScienceFather

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

Ms. Oumayma Sadgui | Remote Sensing Awards | Women Researcher Award

Posted on 19/10/2024 by ScienceFather

Ms. Oumayma Sadgui | Remote Sensing Awards | Women Researcher Award

Ms. Oumayma Sadgui, IAV Hassan II, Morocco,

Oumayma Sadgui is a Water and Forest Engineer currently working in Ifrane National Park and pursuing her Ph.D. at IAV Hassan II, specializing in Natural Resources Economics and Environment. With a rich educational background, she holds a State Engineer diploma in forestry economics from the National School of Forest Engineers (ENFI), along with diplomas in general forestry and agronomy. Since 2022, she has been actively involved with the National Water and Forests Agency and the IMU of the PLAR project, focusing on ecotourism development in Ifrane National Park. Oumayma has field experience in surveys, socio-economic and ecological diagnoses, forest inventories, and vegetation studies. She is skilled in statistical data analysis using SPSS, digital cartography (GIS), and remote sensing. Her work is complemented by her ability to lead workshops and training sessions.

Professional Profile:

ORCID

GOOGLE SCHOLAR

Suitability of Oumayma Sadgui for the Research for Women Researcher Award

Academic and Research Background:
Oumayma Sadgui’s strong academic and research background, particularly in natural resources economics and environmental sustainability, makes her a suitable candidate for the award. She holds a Ph.D. candidacy at IAV Hassan II in Natural Resources Economics and has completed significant research on ecosystem services, hydrologic systems, and forest economics. Her focus on economic evaluations of ecosystem services within protected areas like Ifrane National Park demonstrates a clear commitment to research on sustainable development and environmental conservation.

Education

2021-2024: PhD Candidate in Natural Resources Economics and Environment at IAV Hassan II.
2019-2021: State Water and Forest Engineer Diploma, specializing in Forestry Economics from ENFI (National School of Forest Engineers).
2017-2019: Diploma in General Forestry from ENFI.
2015-2017: Two years of preparatory cycle in Agronomy at ENAM.
2014-2015: Baccalaureate (Very Good Honors) in Life and Earth Sciences from Maarabat Boudnib Errachidia High School.

Professional Experience

Since 2022: Engineer at the National Water and Forests Agency, involved in the PIAR Project for ecotourism development in Ifrane National Park.
2021: End of study dissertation on the Economic Evaluation of Ecosystem Services in the Toubkal National Park.
2019: Summer Internship at the Provincial Direction of Water and Forests in Casablanca. Participated in an integrated development project in the Ben Slimane region and a multidisciplinary tour in the Middle Atlas and Rif.
2018: Summer Internship at the Regional Direction of Water and Forests in the Middle Atlas. Participated in a multidisciplinary tour in the Middle Atlas and East.
2014: Internship on a farm in Errachidia Province.

Publication top Notes:

Economic Assessment of Hydrologic Ecosystem Services in Morocco’s Protected Areas: A Case Study of Ifrane National Park

Evaluation and Mapping of Carbon Sequestration Service in Morocco’s Protected Areas : A case study of Ifrnae National Park

Hydrologic Ecosystem Services values in Morocco’s Protected Areas: A Case Study of Ifrane National Park

Impact of land use dynamics on ecosystem services in Ifrane National Park (INP)

Mr. Mohammad Marjani | Remote sensing | Best Researcher Award

Posted on 04/07/2024 by ScienceFather

Mr. Mohammad Marjani | Remote sensing | Best Researcher Award

Mr. Mohammad Marjani, Memorial University of Newfoundland, Canada

Mohammad Marjani is a dedicated researcher and educator currently pursuing a Doctor of Philosophy in Electrical and Computer Engineering at Memorial University of Newfoundland, specializing in advanced remote sensing and deep learning algorithms for environmental monitoring under the supervision of Dr. Masoud Mahdianpari. He holds a Master of Science in Geospatial Information System (GIS) from K.N.Toosi University of Technology, where he graduated with a stellar GPA of 4.0/4.0, focusing on wildfire spread modeling using deep learning techniques. His academic journey began with a Bachelor of Science in Geodesy and Geomatic Engineering from the same university, where he researched 3D change detection methods in point clouds.Marjani’s research interests span deep learning, machine learning, spatio-temporal modeling, and remote sensing, with particular emphasis on natural hazards like wildfires and methane monitoring. He has accumulated valuable teaching experience as a Teaching Assistant at both the Iran National Geographical Organization and K.N.Toosi University, imparting knowledge in image processing, MATLAB, and Python programming.In addition to his academic endeavors, Marjani is a co-founder of GeoHoosh, an educational group dedicated to promoting artificial intelligence in geomatic and geospatial engineering. His commitment to advancing the field through both research and education underscores his role as a rising expert in geospatial technologies and environmental monitoring.

Professional Profile

ORCID

🎓 EDUCATION

Doctor of Philosophy, Electrical and Computer Engineering
📅 Sep 2023 – Present
📍 Memorial University of Newfoundland, St. John’s, NL, Canada
🌐 Advanced remote sensing and deep learning algorithms for environment monitoring
👨‍🏫 Supervisor: Dr. Masoud Mahdianpari

Master of Science, Geospatial Information System (GIS)
📅 Sep 2020 – Nov 2022
📍 K.N.Toosi University of Technology, Tehran, Iran (KNTU)
📊 GPA: 18.58/20 (4.0/4.0)
🔥 The wildfire spread modeling using deep learning techniques
👨‍🏫 Supervisor: Dr. M.S. Mesgari

Bachelor of Science, Geodesy and Geomatic Engineering
📅 Sep 2016 – Sep 2020
📍 K.N.Toosi University of Technology, Tehran, Iran (KNTU)
📊 GPA: 16.22/20 (3.34/4.0)
📐 Thesis Title: Evaluation of 3D change detection methods in point clouds
👨‍🏫 Supervisor: Dr. H. Ebadi

🔬 RESEARCH INTERESTS

Deep Learning 🧠
Machine Learning 🤖
Spatio-temporal Modeling 🌍
Wildfire 🔥
Remote Sensing 🛰️
Natural Hazards 🌪️
Wetland Monitoring 🌿
Methane Monitoring 🌱

💼 EXPERIENCE

Teaching Assistantships, Faculty of Iran National Geographical Organization
🖥️ Image Processing
📅 Sep 2019 – Jan 2020

Taught MATLAB programming language 💻
Prepared lectures 📝
Graded course assessments 🧾
Defined assignments 📚

Teaching Assistantships, K.N.Toosi University of Technology
🖥️ Computational Intelligence
📅 Sep 2022 – Jan 2023

Taught Python programming language 🐍
Prepared lectures 📝
Graded course assessments 🧾
Defined assignments 📚

Co-Founder of GeoHoosh
🌐 Educational Group
📅 Sep 2023 – Present

One of the four founders of GeoIntelligence Education Group, named GeoHoosh in Persian 🇮🇷
Aims to educate Artificial Intelligence in the Geomatic/Geospatial engineering sub-fields 🧭