Vasileios Laitsos | Engineering | Best Review Article Award

Posted on by ScienceFather

Mr. Vasileios Laitsos | Engineering | Best Review Article Award

Mr. Vasileios Laitsos, University of Thessaly, Greece

Mr. Vasileios Laitsos is an accomplished researcher and electrical engineer from Greece, currently pursuing a PhD at the University of Thessaly, Department of Electrical and Computer Engineering, Volos. His research focuses on developing innovative forecasting models for electricity demand and wholesale electricity prices using artificial intelligence, particularly leveraging Python and the TensorFlow platform.

Education:

PhD in Electrical and Computer Engineering (July 2020 – Present)
University of Thessaly, Volos
Research Focus: AI-driven forecasting models for electricity demand and pricing.

Master’s in Smart Grid Energy Systems (October 2019 – February 2021)
University of Thessaly, Volos
Graduated as Valedictorian with a GPA of 9.63/10.
Thesis: “The Modern Power System from a Different Approach: Impact of Demand Side Management Methods.”

Diploma in Electrical and Computer Engineering (October 2011 – June 2017)
Aristotle University of Thessaloniki, Thessaloniki
GPA: 7.43/10.
Thesis: “Wind Power Forecasting using Support Vector Machines and Artificial Neural Networks.”

Professional Profiles:

ORCID Profile

Professional Experience:

Mr. Laitsos has a diverse professional background, with extensive experience in both research and industry. He currently serves as a Research Associate at HEDNO S.A. in Volos, where he contributes to European Union scientific programs such as ENFLATE and CENTAVROS, which focus on optimizing energy distribution systems. Concurrently, he is a Machine Learning Researcher for the ELVIS Research Project, working on developing a prototype integrated tool for managing the smart charging of electric vehicles by an EV Aggregator.

Previously, Mr. Laitsos served as a Technical Manager at Hellenic Dairies S.A., overseeing the electrical and electronic maintenance of the packaging department, leading a team of seven technicians, and managing two major projects. His earlier roles include Electrical Maintenance Engineer at Hellenic Halyvourgia S.A., where he gained hands-on experience with electrical circuits, AC/DC motors, and PLC systems, and an Electrical Engineer Internship at VIS S.A., where he familiarized himself with industrial electrical panels and machinery.

Skills and Achievements:

Mr. Laitsos possesses a comprehensive skill set, including expertise in machine learning, Python programming, TensorFlow, electrical circuit design, PLC systems, and energy system optimization. His leadership skills, team management experience, and ability to bridge the gap between theoretical research and practical implementation have been instrumental in his career. He is fluent in English and Greek and holds a valid driving license.

Publications:

1. The State of the Art Electricity Load and Price Forecasting for the Modern Wholesale Electricity Market

Journal: Energies

Publication Date: November 2024

DOI: 10.3390/en17225797

Contributors: Vasileios Laitsos, Georgios Vontzos, Paschalis Paraschoudis, Eleftherios Tsampasis, Dimitrios Bargiotas, Lefteri Tsoukalas

Source: Multidisciplinary Digital Publishing Institute

2. Enhanced Sequence-to-Sequence Deep Transfer Learning for Day-Ahead Electricity Load Forecasting

Journal: Electronics

Publication Date: May 2024

DOI: 10.3390/electronics13101996

Contributors: Vasileios Laitsos, Georgios Vontzos, Apostolos Tsiovoulos, Dimitrios Bargiotas, Lefteri Tsoukalas

Source: Multidisciplinary Digital Publishing Institute

3. Estimating Spatio-Temporal Building Power Consumption Based on Graph Convolution Network Method

Journal: Dynamics

Publication Date: May 2024

DOI: 10.3390/dynamics4020020

Contributors: Georgios Vontzos, Vasileios Laitsos, Avraam Charakopoulos, Dimitrios Bargiotas, Theodoros Karakasidis

Source: Multidisciplinary Digital Publishing Institute

4. State-of-the-Art of Electricity Load and Price Forecasting for the Modern Wholesale Electricity Market

Type: Working Paper

DOI: 10.20944/preprints202411.0165.v1

Source: Multidisciplinary Digital Publishing Institute

Conclusion:

Mr. Vasileios Laitsos is a highly promising researcher with significant contributions to the field of electricity load and price forecasting. His review article in Energies demonstrates a deep understanding of the subject and provides valuable insights for advancing the state of the art in energy forecasting. With minor improvements in scope and quantitative analysis, Mr. Laitsos’s work has the potential to be a benchmark for future research in the field. Given his multidisciplinary expertise, collaborative spirit, and impactful research, he is a strong candidate for the Best Review Article Award. Recognizing his work would not only honor his individual achievements but also encourage further advancements in energy forecasting and smart grid technologies.

 

 

 

 

 

Asmaa Mohammed | Engineering | Young Scientist Award

Posted on by ScienceFather

Dr. Asmaa Mohammed | Engineering | Young Scientist Award

Dr. Asmaa Mohammed, Electronics Research Institute, Egypt

Dr. Asmaa Mohammed is a dedicated researcher at the Electronics Research Institute in Egypt, specializing in the design and development of advanced antenna systems for wireless communications, cancer detection, and material characterization. She earned her Doctoral and Master’s degrees in Electronics and Communications from the Egypt-Japan University of Science and Technology (E-JUST), focusing on MIMO antennas and breast cancer detection using antennas and resonators, respectively. She also completed a post-doctoral research fellowship at the Department of Communication Engineering, Tohoku University, Japan, where she worked on high-gain dielectric antennas for wireless communication.

Education:

Post-Doctoral Research Fellow (May 2022 – Oct. 2022)
Department of Communication Engineering, Graduate School of Engineering, Tohoku University, Sendai, Japan.
Research Topic: High Gain Dielectric Antenna for Wireless Communication.

Doctoral Degree (Oct. 2017 – Nov. 2020)
Egypt-Japan University of Science and Technology (E-JUST), Department of Electronics and Communications.
Dissertation Topic: Design and Development of MIMO Antennas for Wireless Communications.

Master’s Degree (Feb. 2015 – Oct. 2017)
Egypt-Japan University of Science and Technology (E-JUST), Department of Electronics and Communications.
Dissertation Topic: Breast Cancer Detection Using Antennas and Resonators.

Graduate Studies (Oct. 2013 – Jan. 2015)
Ain Shams University, Faculty of Engineering, Electrical Engineering Department.
Completed ten advanced courses in electrical and communication engineering topics.

Bachelor’s Degree (Sep. 2007 – Jun. 2012)
Al-Azhar University, Faculty of Engineering, Electrical Department.
Graduation Project: Wireless Control System.

Professional Profiles:

Google Scholar

Professional Experience:

Professionally, Dr. Mohammed has a decade of experience in microstrip circuit research at the Electronics Research Institute, progressing from Research Assistant in 2013 to Researcher since 2020. She also has teaching experience as a lecturer at Al-Azhar University, where she instructed courses on Microwave Engineering and Electromagnetic Fields. Additionally, her volunteering efforts as a reviewer for reputable journals and conferences, and as a co-chair at international symposiums, reflect her commitment to advancing her field.

Research Interests:

Dr. Mohammed’s research interests include developing MIMO antennas, dielectric resonator antennas, RF planar passive components, microwave imaging for medical diagnostics, and thin-film hybrid components. Her expertise spans simulation, fabrication, and measurements using state-of-the-art tools such as CST Microwave Studio, Keysight ADS, and vector network analyzers. She has published extensively in high-impact journals and international conferences and serves as a reviewer for esteemed journals like Alexandria Engineering Journal and International Journal of Electronics..

Skills:

Simulations

Electromagnetic: CST Microwave Studio.
Circuit: Keysight ADS.

Measurements
Fabrication of planar and DR circuits using etching technique, LPKF machine, and
3D printer.
Vector Network Analyzer (S-Parameters Measurements, Calibrations)
Material Characterization using DAK
Radiation pattern Measurements

Conference Presentations:

Gomaa, A., Afifi, A., & Abdalrazik, A. (2024). A Dual-Band Wide Axial-Ratio Beamwidth Circularly-Polarized Antenna with V-Shaped Slot for L2/L5 GNSS Applications. In Proceedings of the 6th Novel Intelligent and Leading Emerging Sciences Conference (NILES) (pp. 119-122). Giza, Egypt, October 2024.

Afifi, A. I., Abd El-Hameed, A. S., Ahmed, S. M., Allam, A., & Abdel-Rahman, A. B. (2021). Asymmetric EBG Decoupling Structure for Coupling Reduction Applications. In Proceedings of the 15th European Conference on Antennas and Propagation (EuCAP). Düsseldorf, Germany, March 2021.

Afifi, A. I., Elsheakh, D. M., Abdel-Rahman, A. B., Allam, A., & Ahmed, S. M. (2019). Dual Broadband Coplanar Waveguide-Fed Slot Antenna for 5G Applications. In Proceedings of the 13th European Conference on Antennas and Propagation (EuCAP). Krakow, Poland, March 2019, pp. 1-3.

Afifi, A. I., & Abdel-Rahman, A. B. (2016). Ring Resonator for Breast Cancer and Broken Bones Detection. In Proceedings of the 28th Asia-Pacific Microwave Conference (APMC). New Delhi, India, December 2016, pp. 1-4.

Afifi, A. I., Abdel-Rahman, A. B., Allam, A., & Abd El-Hameed, A. S. (2016). A Compact Ultra-Wideband Monopole Antenna for Breast Cancer Detection. In Proceedings of the 59th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS). Abu Dhabi, United Arab Emirates, October 2016, pp. 1-4.

Publications:

Asmaa I. Afifi, Anwer S. Abd El-Hameed, Ahmed Allam, Sabah M. Ahmed, and Adel B. Abdel-Rahman
“New Approach for Designing Quad-Port Single Element Dielectric Resonator MIMO Antenna,”
Computers and Electrical Engineering, vol. 120, pp. –, Dec. 2024.

El-Nady S, Afifi A, El-Hameed A, Anwer S
“Sugar and Salt Concentration Detection in Water Employing ENZ Metamaterial Microwave Sensor,”
Wireless Personal Communications, pp. 1-20, Feb. 2024.

Abdalrazik A, Gomaa A, Afifi A
“Multiband Circularly-Polarized Stacked Elliptical Patch Antenna with Eye-Shaped Slot for GNSS Applications,”
International Journal of Microwave and Wireless Technologies, pp. 1-7, 2024.

El-Nady S, Elsharkawy RR, Afifi A. I., Abd El-Hameed AS
“Performance Improvement of Substrate Integrated Cavity Fed Dipole Array Antenna Using ENZ Metamaterial for 5G Applications,”
Sensors, vol. 22, no. 1, pp. 125, Dec. 2021.

Darwish, M. A., Asmaa I. Afifi, Anwer S. Abd El-Hameed, H. F. Abosheiasha, A. M. A. Henaish, D. Salogub, A. T. Morchenko, V. G. Kostishyn, V. A. Turchenko, and A. V. Trukhanov
“Can Hexaferrite Composites be Used as a New Artificial Material for Antenna Applications?”
Ceramics International, vol. 47, no. 2, pp. 2615-2623, Sep. 2020.

Asmaa I. Afifi, Adel B. Abdel-Rahman, Anwer S. Abd El-Hameed, Ahmed Allam, Sabah M. Ahmed
“Small Frequency Ratio Multi-Band Dielectric Resonator Antenna Utilizing Vertical Metallic Strip Pairs Feeding Structure,”
IEEE Access, vol. 8, pp. 112840 – 112845, Jun. 2020.

 

Conclusion:

Dr. Asmaa Mohammed is highly deserving of the Research for Young Scientist Award. Her contributions to the fields of wireless communication, antenna design, and biomedical imaging, combined with her academic achievements and international exposure, make her a standout young researcher. Her work is innovative, impactful, and multidisciplinary, addressing both technological and societal challenges. While there are opportunities for further growth in leadership, industry engagement, and public outreach, Dr. Mohammed has already established herself as a promising young scientist. With continued development in these areas, she will undoubtedly achieve even greater accomplishments in her future career.