Rasool Mohsenzadeh | Mechanical Engineering | Best Researcher Award

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Assist Prof Dr. Rasool Mohsenzadeh, Mechanical Engineering, Best Researcher Award

Doctorate at Department of Mechanical Engineering, Iran

Summary:

Assistant Professor Dr. Rasool Mohsenzadeh is an accomplished researcher and educator in the field of mechanical engineering. He obtained his Ph.D. and M.S. degrees from Tabriz University, specializing in Mechanical Engineering, with a focus on nanocomposite materials and gear performance. Dr. Mohsenzadeh’s research interests lie in tribology, finite element analysis, and the mechanical behavior of polymer-based nanocomposites. He has published several articles in reputable journals, contributing significantly to the understanding of nanocomposite gear performance and material characterization. Alongside his research endeavors, Dr. Mohsenzadeh has extensive teaching experience, having instructed various courses in mechanical engineering at Technical and Vocational University in Tabriz. He is committed to advancing knowledge in his field and mentoring the next generation of engineers.

Professional Profile:

Scopus Profile

Google Scholar Profile

👩‍🎓Education & Qualification:

Ph.D. in Mechanical Engineering from Tabriz University, awarded on September 5, 2021. His dissertation focused on the “Wear, life, and failure behavior of polyacetal-carbon black-calcium carbonate nanocomposite gears” under the supervision of Dr. Karim Shelesh-Nezhad.

M.S. in Mechanical Engineering from Tabriz University, completed in 2012. His master’s thesis explored the “Wear, life, and failure behavior of polyacetal-carbon black-calcium carbonate nanocomposite gears,” also supervised by Dr. Karim Shelesh-Nezhad.

B.S. in Electrical Engineering and Mechanical Engineering from Technical and Vocational University, earned in 2008.

Dr. Rasool Mohsenzadeh’s research interests and professional experience are not provided in the provided information.

Professional Experience:         

Dr. Rasool Mohsenzadeh has amassed a wealth of experience in academia and research, contributing significantly to the field of mechanical engineering. His professional journey includes:

Research Project at Technical and Vocational University, 2022:

  • Focus: Improving the impact resistance and UV resistance of the bumper bracket.

Research Project at Khooshe Zarin Azerbaijan Company, 2021:

  • Objective: Investigating the feasibility of using nanocomposite water sprinklers in center pivot systems.

Instructor at Technical and Vocational University, Tabriz (2012-09-23 to 2012-09-05):

  • Taught courses such as Statics of Materials, Mechanics of Materials, Metrology, Mechanical Engineering Design, Hydraulics and Pneumatics, Turning, Milling, and Technical English.

Assistant Professor at Technical and Vocational University, Tabriz (from 2021-09-05 to present):

  • Conducting courses including Statics of Materials, Mechanics of Materials, Metrology, Mechanical Engineering Design, Hydraulics and Pneumatics, Turning, Milling, and Technical English.

Dr. Mohsenzadeh’s dedication to teaching and research, coupled with his expertise in mechanical engineering, underscores his commitment to advancing knowledge and preparing the next generation of engineers.

Honors and awards:

Dr. Rasool Mohsenzadeh was honored with the “Top Article” award at the 13th Conference of Nanotechnology Graduates in 2012 for his research titled “The effect of calcium carbonate nanoparticles on the wear behavior of PA6/PP gears” (in Persian). This recognition underscores his significant contribution to the field of nanotechnology and highlights the impact of his research on understanding the wear behavior of polymeric gears. Such accolades demonstrate Dr. Mohsenzadeh’s dedication to advancing knowledge in mechanical engineering and nanotechnology.

 Research Interest:

Dr. Rasool Mohsenzadeh’s research interests include:

  • Tribology and wear analysis of polymer-based nanocomposites
  • Finite element analysis and experimental validation of mechanical components
  • Performance evaluation and modeling of polymer nanocomposite gears
  • Synergistic effects of nano-scale inclusions on mechanical and thermal properties
  • Optimization of composite materials for enhanced mechanical performance
  • Impact resistance and fatigue analysis of polymer nanocomposites
  • Development of novel experimental techniques for material characterization
  • Investigation of nanomaterial applications in mechanical engineering components
  • Life analysis and failure mode assessment of polymer-based nanocomposite systems
  • Study of nanocomposite behavior under varying loading condition

Publication Top Noted:

Experimental and finite element analysis on the performance of polyacetal/carbon black nanocomposite gears

  • Authors: R Mohsenzadeh, K Shelesh-Nezhad, TN Chakherlou
  • Journal: Tribology International
  • Year: 2021
  • Citation count: 12

Load-bearing analysis of polymer nanocomposite gears using a temperature-based step loading technique: Experimental and numerical study

  • Authors: R Mohsenzadeh, BH Soudmand, K Shelesh-Nezhad
  • Journal: Wear
  • Year: 2023
  • Citation count: 11

A combined experimental-numerical approach for life analysis and modeling of polymer-based ternary nanocomposite gears

  • Authors: R Mohsenzadeh, BH Soudmand, K Shelesh-Nezhad
  • Journal: Tribology International
  • Year: 2022
  • Citation count: 11

Synergetic impacts of two rigid nano‐scale inclusions on the mechanical and thermal performance of POM/carbon black/CaCO3 ternary nanocomposite systems

  • Authors: R Mohsenzadeh, BH Soudmand, K Shelesh‐Nezhad
  • Journal: Polymer Composites
  • Year: 2022
  • Citation count: 10

Gear life and failure mode versus meshing stress in polyacetal/carbon black nanocomposite gears

  • Authors: R Mohsenzadeh, K Shelesh-Nezhad, TN Chakherlou, HH Yaghini
  • Journal: Engineering Failure Analysis
  • Year: 2022
  • Citation count: 9

 

 

Bolaji Oladipo | Mechanical Engineering

Posted on by Best Paper Award
Mr. Bolaji Oladipo: Leading Researcher in Mechanical Engineering

Summary:

Bolaji Oladipo is a dedicated and accomplished mechanical engineer currently pursuing a Ph.D. in Mechanical Engineering at the University of Rhode Island, USA, where he maintains an impressive GPA of 3.74/4.00. His academic journey includes a Master of Science in Mechanical Engineering from Rowan University, New Jersey, USA, and a Bachelor of Science in Mechanical Engineering from the University of Ibadan, Nigeria.

Bolaji has made significant contributions to the field of mechanical engineering, particularly in areas such as auxetic metamaterials, corrosion assessment, and material interface adhesion. His expertise extends to machine learning, finite element analysis, and materials modeling, as evidenced by his presentations at various conferences and workshops. He has showcased research findings through poster presentations on topics like auxetic TPU metamaterials and efficient strengthening of concrete cylinders.

Professional Profile:

🎓 Education:

  • Pursuing a Ph.D. in Mechanical Engineering at the University of Rhode Island, USA (2022 – Present) with a GPA of 3.74/4.00.
  • Master of Science in Mechanical Engineering from Rowan University, New Jersey, USA (2018 – 2020) with a GPA of 3.76/4.00.
  • Bachelor of Science in Mechanical Engineering from the University of Ibadan, Nigeria (2008 – 2014) with a GPA of 3.30/4.00.

📊 Conference Presentations: He have consistently demonstrated my expertise in machine learning, finite element analysis, and materials modeling through engaging presentations at diverse conferences and workshops. These platforms have provided me with opportunities to share and discuss cutting-edge research findings, contributing to the broader academic and professional discourse.

📝 Poster Presentations: He have effectively communicated my research insights through visually compelling posters, covering subjects like auxetic TPU metamaterials and the efficient strengthening of concrete cylinders. These presentations, showcased at various conferences and forums, have facilitated discussions and knowledge exchange within the academic and professional communities.

🔍 Journal Review: He contribute to the academic community by serving as a meticulous reviewer for the Journal of Materials in Civil Engineering, a prestigious publication under the American Society of Civil Engineers. This role involves evaluating and providing valuable insights into scientific research articles.

🏆 Awards and Honors: He take pride in receiving accolades for my research contributions, securing 1st place in the Sixth Rhode Island Transportation and Engineering Poster Competition. Additionally, He achieved 2nd place in the 2022 TIDC Student Poster Fan Favorite Contest, showcasing the recognition of my work within the academic realm.

🌐 Professional Memberships: As a dedicated professional, He hold esteemed memberships in reputable organizations such as the American Society of Civil Engineers and the Nigerian Society of Engineers. These affiliations reflect my commitment to staying connected with the broader engineering community and staying abreast of the latest advancements in the field.

👨‍💼 Work Experience: In the capacity of Founder and CEO of Custod Engineering Services Limited, He lead a dynamic team, providing comprehensive training in CAD/CAM software and delivering top-notch engineering consultancy services.

💼 Research Associate: Currently serving as a Graduate Research Associate at the Multiscale And Multiphysics Mechanics Laboratory, University of Rhode Island, He engage in diverse numerical simulations and experiments related to concrete cylinders. My responsibilities also include interpreting data and contributing to research articles.

👨‍🏫 Teaching Experience: With a background as a Graduate Teaching Assistant and Graduate Teaching Fellow, He actively contribute to the education sector. My roles have involved teaching labs and lectures, grading assignments, and fostering an enriching learning environment.

🌐 Global Experience: He have showcased my research findings on a global platform by presenting virtually at international conferences. This experience reflects my commitment to a broader perspective in academia and research.

🏆 Judging Experience: He was honored to be invited as a judge at the 2023 Virginia Junior Academy of Science (VJAS) Research Symposium, where He assessed and scored research papers, particularly in the engineering category.

Publication Top Noted:

Title: Corrosion assessment of some buried metal pipes using neural network algorithm

  • Authors: B.A. Oladipo, O.O. Ajide, C.G. Monyei
  • Journal: International Journal of Engineering and Manufacturing (IJEM)
  • Volume: 7
  • Issue: 6
  • Pages: 27-42
  • Year: 2017

Title: Integrating Experiments, Finite Element Analysis, and Interpretable Machine Learning to Evaluate the Auxetic Response of 3D Printed Re-entrant Metamaterials

  • Authors: B. Oladipo, H. Matos, N.M.A. Krishnan, S. Das
  • Journal: Journal of Materials Research and Technology
  • Volume: 2
  • Year: 2023

Title: Evaluating the adhesion response of acrylonitrile-butadiene-styrene (ABS)/thermoplastic polyurethane (TPU) fused interface using multiscale simulation and experiments

  • Authors: J.T. Villada, G.A. Lyngdoh, R. Paswan, B. Oladipo, S. Das
  • Journal: Materials & Design
  • Volume: 232
  • Pages: 112155
  • Year: 2023

Research Focus:

Auxetic Metamaterials: Bolaji has delved into the study of auxetic materials, exploring their unique mechanical properties and potential applications. These materials exhibit negative Poisson’s ratios, making them valuable for specific engineering applications due to their ability to expand laterally when stretched.

Corrosion Assessment: Bolaji has conducted research on the corrosion assessment of buried metal pipes, employing neural network algorithms to analyze and predict corrosion behavior. This work contributes to the understanding of corrosion processes and aids in the development of effective mitigation strategies.

Material Interface Adhesion: His research extends to evaluating the adhesion response of material interfaces, specifically focusing on acrylonitrile-butadiene-styrene (ABS)/thermoplastic polyurethane (TPU) fused interfaces. This work involves multiscale simulation and experiments to enhance our understanding of material interactions.

Finite Element Analysis (FEA): Bolaji has expertise in finite element analysis, utilizing tools like ANSYS Multiphysics to simulate and analyze complex mechanical systems. His work involves applying FEA techniques to study the mechanical behavior of structures, such as concrete cylinders.

Machine Learning Applications: With a keen interest in machine learning, Bolaji integrates this technology into materials science and engineering. His research involves the use of interpretable machine learning to evaluate the auxetic response of 3D printed re-entrant metamaterials, showcasing an interdisciplinary approach.

Global Infrastructure and Transportation: Bolaji’s research extends to the domain of transportation infrastructure durability. He has presented findings at conferences on topics related to the efficient strengthening of concrete cylinders, contributing to the development of resilient and sustainable infrastructure.

 

 

Zakria Qadir | Computer Engineering

Posted on by Best Paper Award
Dr. Zakria Qadir: Leading Researcher in Computer Engineering

🎉 Congratulations Dr. Zakria Qadir on Winning the Most Reader’s Article Award! 🏆 Your dedication to research, mentorship, and collaboration with international teams is truly commendable. This award is a testament to your outstanding work and the impact it has on the broader community.

Professional Profile:

🔬 Research Focus: Enthusiastic PostDoc Research Associate at UNSW Artificial Intelligence Institute, dedicated to pushing boundaries in DIGITECH. Research spans Artificial Intelligence, Machine Learning, Wireless Communication, IoT, and Cybersecurity. Highly cited Young STEM Researcher.

🎓 Education:

  • Ph.D. in Electrical and Computer Engineering (Western Sydney University).
    • Research: Smart UAVs for disaster relief, AI, ML, IoT applications.
  • Master’s in Sustainable Environment and Energy System (METU).
    • Thesis: Neural Network-Based Prediction Algorithms for Hybrid PV-Wind System.
  • Bachelor of Science in Electronic Engineering (UET Taxila).
    • Gold Medal Award for securing First Position.

🏆 Achievements:

  • Google Scholar: Citations 1000+, H-Index 17, Total Papers 40, Cumulative Impact Factor >100+.
  • Keynote Speaker at Core A conferences.
  • Fully Funded ARC Research Discovery Scholarship for Ph.D.
  • Various scholarships and awards for academic excellence.

👨‍💻 Professional Experience:

  • Post-Doc Research Associate at UNSW, collaborating with the Department of Defence Australia.
  • Research: Drones-aided AI Algorithms for Battlefield Scenarios.
  • Research Assistant at UNSW, collaborating with Cisco, focusing on Intelligent Transportation Systems.
  • Sessional Lecturer at Victoria University, teaching Data Science, AI, Computer Science, Business Analysis, Networking.
  • Casual Lecturer at Western Sydney University (WSU) and Melbourne Institute of Technology (MIT).
  • Lecturer at National University of Technology, teaching IoT, AI, and Machine Learning.
  • Senior Research Scientist at Imam Abdulrahman Bin Faisal University.
  • Graduate Teaching Assistant at Middle East Technical University (METU).
  • Lab Engineer at National University of Science and Technology (NUST).

Publication Top Noted:

  • Towards 6G Internet of Things: Recent advances, use cases, and open challenges
  • A Hybrid Deep Learning Approach for Bottleneck Detection in IoT
  • A strong construction of S-box using Mandelbrot set an image encryption scheme
  • Resource optimization in UAV-assisted wireless networks—A comprehensive survey
  • Autonomous UAV Path-Planning Optimization Using Metaheuristic Approach for Predisaster Assessment

📚 Skills:

  • Programming Languages: MATLAB, Python, C++.
  • Metaheuristic Algorithms: PSO, ACO, DGBCO, GWO.
  • Machine Learning (AI): Deep learning, Feature Extraction, CNN, FRNN, YOLO.
  • Understanding of Arduino, Raspberry Pi, Proteus, Lucid Chart, VOSViewer, LaTeX.

🎓 Teaching Experience:

  • Lectured and supervised students at various universities.
  • Lesson planning, preparation, and research in diverse areas.

🏅 Honors and Awards:

  • Graduate Teaching Assistant Scholarship at METU.
  • Gold Medal Award for securing First Position in Bachelors.
  • Best Engineering Project Award at UET Taxila.

🏆 Funding and Recognition:

  • Awarded ARC Research Discovery Scholarship, Research Candidate Support Funding, Teaching Assistant Scholarships, Travel Grants, and Research Grants.
  • Recognition from Core A conferences and Australia’s Natural Hazard Research.

 

The paper “A Prototype of an Energy-Efficient MAGLEV Train: A Step Towards Cleaner Train Transport” focuses on the development and evaluation of a prototype Magnetic Levitation (MAGLEV) train with an emphasis on energy efficiency. Below are some key points and important content from the paper:

Abstract:

  • Focus: Development and assessment of an energy-efficient MAGLEV train prototype.
  • Goal: Contributing to cleaner and more sustainable train transportation.

Introduction:

  • Motivation: Addressing the need for environmentally friendly and energy-efficient transportation solutions.
  • Importance of MAGLEV: Highlighting the advantages of MAGLEV technology, such as reduced friction and energy consumption.

Key Features of the MAGLEV Prototype:

  • Energy Efficiency Measures: Description of features and technologies incorporated to enhance energy efficiency.
  • Magnetic Levitation System: Explanation of the MAGLEV technology used in the prototype.
  • Propulsion System: Details about the propulsion mechanism and its role in energy savings.

Performance Evaluation:

  • Energy Consumption Analysis: Quantitative assessment of energy consumption compared to traditional train systems.
  • Environmental Impact: Discussion on the potential reduction in carbon footprint and environmental benefits.

Results and Findings:

  • Energy Savings Percentage: Presentation of the achieved energy savings compared to conventional trains.
  • Operational Stability: Evaluation of the MAGLEV prototype’s stability during operations.

Conclusion:

  • Significance: Emphasizes the significance of developing energy-efficient transportation solutions.
  • Future Implications: Discusses the potential widespread adoption of MAGLEV technology for cleaner and sustainable train transport.

Impact and Citations:

  • Citation Count: Indicates the paper’s impact and recognition within the research community.
  • Reader’s Count: Reflects the broader readership and interest in the paper’s findings.

Innovation and Contribution:

  • Novelty: Highlights any novel approaches, technologies, or methodologies introduced in the MAGLEV prototype.
  • Contribution to the Field: Describes how the research contributes to advancements in cleaner and energy-efficient transportation.

This summary provides a glimpse into the essential content of the paper, focusing on its goals, methodology, findings, and impact on the field of transportation and energy efficiency.

 

 

 

 

 

Yogesh | Artificial Intelligence

Posted on by Best Paper Award
Dr. Yogesh: Leading Researcher in Artificial Intelligence

Congratulations to Dr. Yogesh on Winning the Best Researcher Award! Dr. Yogesh is a dedicated researcher known for his impactful contributions to the field of Artificial Intelligence. His commitment to research, mentorship, and collaboration with international teams has earned him this prestigious recognition.

Dr. Yogesh is a distinguished researcher in the field of Artificial Intelligence, recognized for his outstanding contributions and achievements. Currently serving as Assistant Professor-III in the Department of Computer Science and Engineering at Chitkara University, Punjab, he brings a wealth of experience and expertise to his role.

Professional Profile:

🎓 Educational Qualifications:

  • Ph.D.: Amity University Uttar Pradesh, Noida, 2021
  • M. Tech: Amity University Uttar Pradesh, Noida, 2013 (84.7%)
  • B. Tech: Magadh University, Patna, 2007 (76%)

Gayan KIncy Kulatilleke | Machine learning

Posted on by Best Paper Award
Dr. Gayan KIncy Kulatilleke: Leading Researcher in Machine learning, AI

Dr. Gayan Kincy Kulatilleke is a distinguished researcher and expert in the field of Artificial Intelligence and Machine Learning. Holding a Ph.D. in AI, M.Sc. degrees in Big Data and Networking, and a B.Sc. in Engineering, he has garnered recognition for his outstanding contributions to the field.

As a leading academic at the University of Queensland, Brisbane, Dr. Kulatilleke serves as a Sessional Academic and Research Assistant, specializing in Computer Networks and High-Performance Computing. He also plays a pivotal role as an AI/ML Mentor for Summer and Internship Projects, showcasing his dedication to nurturing the next generation of innovators.

🎓 Education

  • PhD(AI), MSc(Big Data), MSc(Networking), BSc(Eng.), ACMA(UK), CGMA(USA), AMIE(SL)

🏆 Awards

  • Best Paper: Microsoft Award (Cybersecurity, HFES 2020)
  • Best Paper: CSIRO Award (AJCAI 2022)
  • “Global Knowledge Sharing” Award for Best Technical Publication (Virtusa 2003)
  • Runner Up: cmbHack.js 2014 (48-hour JavaScript Hackathon)
  • Multiple Australian Scholarships: UQ RTP, ARC LP for PhD

Professional Profiles:

Publication Top Noted

  • XG-BoT: An explainable deep graph neural network for botnet detection and forensics
  • HFE and cybercrime: Using systems ergonomics to design darknet marketplace interventions
  • Efficient block contrastive learning via parameter-free meta-node approximation
  • Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin
  • DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection

Research Focus 

Dr. Gayan Kincy Kulatilleke’s research encompasses a broad spectrum within the realms of Artificial Intelligence (AI) and Machine Learning (ML). While specific details of his research focus might require more recent information, the provided details indicate several areas of interest and expertise:

  1. Botnet Detection and Forensics
  2. Human Factors Engineering (HFE) and Cybercrime
  3. Contrastive Learning for Efficient Block Analysis
  4. Self-Supervised Learning for Money Laundering Detection
  5. Hybrid Deep Learning for Network Anomaly Detection

💼 Work Experience

University of Queensland, Brisbane

  • Sessional Academic & Research Assistant (01/2019 – Present)
    • Lead Tutor: Computer Networks, High-Performance Computing
    • AI/ML Mentor for Summer and Internship Projects
    • Presenter: High-Performance Compute GPU Clusters, ML Pipelines

Freelance AI ML and Software Consultant/Developer, Remote (01/2006 – Present)

  • Advanced skills in C++, OS, Automation, Integration, DevOps, Cloud Management, Google Technologies, Data Engineering, Software Development, AI/ML.

Mailot – Founder CTO, Brisbane (01/2023 – 06/2023)

  • GPT-3 Productivity SaaS Startup
  • NLP and Human Inputs for Augmented Responses
  • Integration of OpenAI, Langchain, Vector Databases with Node.js on Vercel

AMZ Consulting Pty Ltd, Sydney – Consultant/Trainer (05/2023 – Present)

  • PowerBI, Modelling, DAX, Integrations

TeleMARS, Brisbane – Lead AI ML Engineer and Researcher (04/2023 – Present)

  • AI Architecture Design, AI Analytics Solution Design
  • Development and Solution Delivery Management

Space Platform, Brisbane – Head ML (06/2019 – 06/2020)

  • Privacy Preserving Query and Intent Identification Algorithms
  • Research on IOS and Android’s Randomized MAC Addresses
  • Data Engineering, ETL Operations, ML Model Design and Implementation

Capital Staffing, London – Software Developer (10/2017 – 07/2018)

  • C#, .NET MSSQL Server, DevOps, Cloud Services

Central Bank of Sri Lanka – Senior Assistant Director (05/2005 – 10/2022)

  • AI ML Big Data Initiatives
  • Data Science and Analysis Teams Coaching
  • Implementation of Strategic IT Needs
  • Surveillance, Authentication, Access Control Systems Oversight

Virtusa Corporation, Colombo – Software Engineer (R&D) (05/2004 – 08/2004)

  • Managed R&D Portal, Global Technology Center Consultation
  • “Global Knowledge Sharing” Award for Best Technical Whitepaper

MillenniumIT (London Stock Exchange Group) – Application Engineer (08/2003 – 05/2004)

  • Global Support, Technical Advice to Capital Market Clients
  • Performance Benchmarking, Real-time Multithreaded C/C++ Code Development

🎓 Educational/Professional Qualifications

  • PhD Candidate, Tutor, Research Assistant, University of Queensland (2019 – 2023)
  • MSc Big Data Science, Queen Mary, University of London (2017 – 2018)
  • MSc Computer Science, Networking, University of Moratuwa, Sri Lanka (2004 – 2006)
  • BSc Computer Science & Engineering, University of Moratuwa, Sri Lanka (1999 – 2003)

🏆 Special Achievements/Publications

  • Google Research Profile: Link
  • “Microsoft Best Paper Award: Cybersecurity Technical Group” (2020)
  • “Global Knowledge Sharing” Award for Best Technical Publication (Virtusa 2003)

🤝 Positions of Responsibility

  • International Reviewer – Multiple AI ML Journals (2022 – Onwards)
  • Operational Committee Member – WiT Cyber Review Committee, Queensland (2023 – 2024)
  • Coordinator – Chess & Drafts Games, Central Bank Recreation Club (2010 – 2017)
  • Chief Examiner – Institute of Bankers, Sri Lanka (2009 – 2017)
  • Volunteer Work with ADB to Create Computer-Aided Educational Software for Schools (2004)

📚 Lateral Courses Completed

  • Macro Econometric Forecasting, IMF, Institute for Capacity Development, 2016
  • Financial Programming and Policies, Part 2: Program Design, IMF, 2012

🏆 Skills

  • Data, AI, Machine Learning Engineering
  • Software Development (Python, C++, C#)
  • AI ML (GPTx, Langchain Models, TensorFlow)
  • DevOps and Cloud Management (Azure, AWS)
  • Google Technologies (Data Studio, Firebase, Cloud Firestore)
  • Data Engineering (PowerBi, Tableau, DAX, Python-based Web Scraping)

🎉 Awards and Recognitions

  • Best Paper Awards (Microsoft, CSIRO)
  • Global Knowledge Sharing Award (Virtusa)
  • Australian Scholarships (UQ RTP, ARC LP)