Dr. Shadi Shehadeh, RAE energy,Canada
🔍 As a highly seasoned research and analytical professional with a Post-Doctoral Research Fellowship, Dr. Shadi Shehadeh boasts extensive expertise in the realms of data analysis, renewable energy, modeling, coding, and simulation. His qualifications are a testament to his exceptional skills and achievements. ✨
📚 Education and Training:
- 🎓 Ph.D. in Electrical Engineering, Dalhousie University.
- 📜 M.A.Sc. in Electrical Engineering, Dalhousie University.
- 🎓 B.E. in Electronic Engineering, Royal Scientific Society, Amman, Jordan.
- 🌐 Additional training includes Networking (Cisco Certified Networking Academy) and Electrical Equipment (Public Power Corporation, Athens, Greece).
🌐 Professional Profiles :
Scopus
Google Scholar
ORCID
🌟 Key Qualifications:
- 🚀 Proven ability to work effectively under pressure, managing multiple tasks with precision.
- 🌿 Deep knowledge in renewable energy sources, power systems, load management, and mathematics.
- 💡 Exceptional creativity in connecting facts and ideas, delivering innovative solutions.
- ⏰ Consistent record of completing tasks on time, meeting deadlines seamlessly.
🛠️ Analyst and Programming Skills:
- 🤔 Exceptional problem-solving, analytical, and creative skills.
- 📊 Proficient in data analysis, statistical analysis, modeling, and advanced forecasting techniques.
- 🖥️ Mastery in various simulation software, including Circuit Maker, Electronic Work Bench, Cadence Design Program, SPICE, MINITAB, R, and Matlab.
- 💻 Proficient in SQL, TensorFlow, Python, SAP Analytics Cloud, and HTML.
🗣️ Communications and Leadership Skills:
- 🎓 Strong professional, interpersonal, and communication skills.
- 🌐 Solid leadership experience, including instructing and teaching University Engineering courses and labs.
- 🤝 Proven ability to work cooperatively and independently.
- 📝 Accomplished in developing written research papers and delivering impactful oral presentations based on simulated results and analysis.
📅 Work Experience:
- 🌍 Currently a Research Engineer at RAE Energy, Edmonton, AB.
- 🔧 Prior roles include Engineering Consultant at Alberta Safety & Environmental Services and Post-Doctoral Research Fellow at Dalhousie University.
👨🏫 Academic Contributions:
- 🎓 Holds a Ph.D. in Electrical Engineering from Dalhousie University, Halifax, NS.
- 📚 Also achieved a Master’s degree in Applied Science and a Bachelor’s degree in Electronic Engineering.
🌟 Volunteer Experience:
- ⚽ Actively contributes as an Assistant Soccer Coach for the Griesbach Community League and a Math Tutor at the Edmonton Islamic Academy.
🏆 Licenses and Certifications:
- 📊 Database Foundations: Creating and Manipulating Data, LinkedIn 2020.
- 📈 SAP Analytics Cloud, LinkedIn 2019.
- 🚀 Intro to TensorFlow for Deep learning, UDACITY 2018.
- 📉 Data Analyst track, UDACITY 2017.
🧠 Research Interests 🔬🌐 :
🌐 Dr. Shadi Shehadeh is a dynamic researcher with a profound interest in advancing knowledge in the realms of renewable energy, solar energy, programming, optics, and forecasting. 🌞 His inquisitive mind explores the potential of sustainable energy sources, leveraging cutting-edge technologies and programming to optimize energy systems. 🔍 With a focus on innovation and a keen eye on the future, Dr. Shehadeh endeavors to contribute significantly to the fields of clean energy and predictive analytics. 🚀✨
📚 Publication Impact and Citations :
Scopus Metrics:
- 📝 Publications: 12 documents indexed in Scopus.
- 📊 Citations: A total of 67 citations for his publications, reflecting the widespread impact and recognition of Dr. Shadi Shehadeh’s research within the academic community.
Google Scholar Metrics:
- All Time:
- Citations: 125 📖
- h-index: 6 📊
- i10-index: 4 🔍
- Since 2018:
- Citations: 89 📖
- h-index: 5 📊
- i10-index: 2 🔍
👨🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬
Publications ( Top Note ) :
1. Most influential variables for solar radiation forecasting using artificial neural networks
Published Year: 2014, Journal: 2014 IEEE Electrical Power and Energy Conference, Cited By: 31
2. An overview of inverter topologies for photovoltaic electrical energy
Published Year: 2013, Journal: 2013 IEEE Electrical Power & Energy Conference, Cited By: 19
3. Photovoltaic multi-level inverters technology
Published Year: 2015, Journal: 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering, Cited By: 16
4. Investigation of photovoltaic coverage ratio for maximum overall thermal energy of photovoltaic thermal system
Published Year: 2019, Journal: Renewable Energy, Cited By: 13
5. An intelligent load management application for solar boiler system
Published Year: 2020, Journal: Sustainable Energy Technologies and Assessments, Cited By: 9
6. PV harmonic distribution analysis for various conditions
Published Year: 2016, Journal: 2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Cited By: 6
7. CO2 emissions reduction of photovoltaic thermal model using variable flow rate values
Published Year: 2018, Journal: 2018 IEEE Canadian Conference on Electrical & Computer Engineering (CCECE), Cited By: 5
8. Effect of weather conditions on harmonic performance of PV inverters
Published Year: 2019, Journal: Electric Power Components and Systems, Cited By: 4
9. Photovoltaic inverters technology
Published Year: 2015, Journal: 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering, Cited By: 4
10. Multistable cascaded optical resonators for deflection sensors
Published Year: 2010, Journal: IEEE Sensors Journal, Cited By: 4