Dr. Shadi Shehadeh : Enery and Protocol
Dr. Shadi Shehadeh, RAE energy,Canada
π 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. β¨
π Education and Training:
- π Ph.D. in Electrical Engineering, Dalhousie University.
- π M.A.Sc. in Electrical Engineering, Dalhousie University.
- π B.E. in Electronic Engineering, Royal Scientific Society, Amman, Jordan.
- π Additional training includes Networking (Cisco Certified Networking Academy) and Electrical Equipment (Public Power Corporation, Athens, Greece).
π Professional Profiles :Β
π Key Qualifications:
- π Proven ability to work effectively under pressure, managing multiple tasks with precision.
- πΏ Deep knowledge in renewable energy sources, power systems, load management, and mathematics.
- π‘ Exceptional creativity in connecting facts and ideas, delivering innovative solutions.
- β° Consistent record of completing tasks on time, meeting deadlines seamlessly.
π οΈ Analyst and Programming Skills:
- π€ Exceptional problem-solving, analytical, and creative skills.
- π Proficient in data analysis, statistical analysis, modeling, and advanced forecasting techniques.
- π₯οΈ Mastery in various simulation software, including Circuit Maker, Electronic Work Bench, Cadence Design Program, SPICE, MINITAB, R, and Matlab.
- π» Proficient in SQL, TensorFlow, Python, SAP Analytics Cloud, and HTML.
π£οΈ Communications and Leadership Skills:
- π Strong professional, interpersonal, and communication skills.
- π Solid leadership experience, including instructing and teaching University Engineering courses and labs.
- π€ Proven ability to work cooperatively and independently.
- π Accomplished in developing written research papers and delivering impactful oral presentations based on simulated results and analysis.
π Work Experience:
- π Currently a Research Engineer at RAE Energy, Edmonton, AB.
- π§ Prior roles include Engineering Consultant at Alberta Safety & Environmental Services and Post-Doctoral Research Fellow at Dalhousie University.
π¨βπ« Academic Contributions:
- π Holds a Ph.D. in Electrical Engineering from Dalhousie University, Halifax, NS.
- π Also achieved a Master’s degree in Applied Science and a Bachelor’s degree in Electronic Engineering.
π Volunteer Experience:
- β½ Actively contributes as an Assistant Soccer Coach for the Griesbach Community League and a Math Tutor at the Edmonton Islamic Academy.
π Licenses and Certifications:
- π Database Foundations: Creating and Manipulating Data, LinkedIn 2020.
- π SAP Analytics Cloud, LinkedIn 2019.
- π Intro to TensorFlow for Deep learning, UDACITY 2018.
- π Data Analyst track, UDACITY 2017.
π§ Research Interests π¬π :
π 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. π His inquisitive mind explores the potential of sustainable energy sources, leveraging cutting-edge technologies and programming to optimize energy systems. π 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. πβ¨
πΒ Publication Impact and Citations :Β
- πΒ Publications: 12 documents indexed in Scopus.
- πΒ Citations: A total of 67 citations for his publications, reflecting the widespread impact and recognition of Dr. Shadi Shehadehβs research within the academic community.
- All Time:
- Citations: 125 π
- h-index: 6 π
- i10-index: 4 π
- Since 2018:
- Citations: 89 π
- h-index: 5 π
- i10-index: 2 π
π¨βπ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. ππ¬
Publications ( Top Note ) :
1.Β 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.Β An overview of inverter topologies for photovoltaic electrical energy
Published Year: 2013, Journal: 2013 IEEE Electrical Power & Energy Conference, Cited By: 19
3.Β Photovoltaic multi-level inverters technology
Published Year: 2015, Journal: 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering, Cited By: 16
Published Year: 2019, Journal: Renewable Energy, Cited By: 13
5.Β An intelligent load management application for solar boiler system
Published Year: 2020, Journal: Sustainable Energy Technologies and Assessments, Cited By: 9
6.Β 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.Β 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.Β Effect of weather conditions on harmonic performance of PV inverters
Published Year: 2019, Journal: Electric Power Components and Systems, Cited By: 4
9.Β Photovoltaic inverters technology
Published Year: 2015, Journal: 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering, Cited By: 4
10.Β Multistable cascaded optical resonators for deflection sensors
Published Year: 2010, Journal: IEEE Sensors Journal, Cited By: 4