Vasileios Laitsos | Engineering | Best Review Article Award

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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.

 

 

 

 

 

Pallavi Singh | Engineering | Most Cited Article Award

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Dr. Pallavi Singh | Engineering | Most Cited Article Award

Dr. Pallavi Singh, Hindustan Institute of technology and science, India

Dr. Pallavi Singh is a distinguished academic and researcher in Electronics and Communication Engineering at Hindustan Institute of Technology and Science, India. She has over a decade of teaching experience, including roles at MANIT Bhopal and CMRIT Bangalore, and a year in the industry at Spice.Net Limited, Delhi. Her research focuses on optical technologies, including SOA-MZI-based systems for optical logic gates and communication. She has authored numerous SCI-indexed journal articles on optical computing and network systems. With extensive academic contributions, Dr. Singh continues to advance optical communication technologies.

Professional Profiles

Scopus Profile

Orcid Profile

Google scholar Profile

Professionals Experience

Pallavi Singh is an accomplished professional with extensive experience in the fields of engineering, teaching, and research. She holds a robust academic and professional background in Electronics and Communication Engineering. Pallavi began her career in the industry as an Engineer in the Technical Support Division at EIL Delhi, working with Spice.Net Limited, New Delhi, from June 2002 to August 2003. She later transitioned to academia, amassing over 10 years of teaching experience in prestigious institutions across India.

Her teaching tenure includes roles as Lecturer at MANIT Bhopal and CMRIT Bangalore, where she gained valuable experience educating and mentoring students. Since July 2018, she has been serving as an Assistant Professor (Selection Grade) at Hindustan Institute of Technology and Science, Chennai, a renowned Deemed-to-be University. Her teaching career is complemented by her research expertise, gained during her four years and five months as a researcher at Allahabad University, Uttar Pradesh, where she delved into critical areas of Electronics and Communication Engineering.

Research Interests

Pallavi’s research interests focus on advanced communication systems, signal processing, and electronic circuit design, aiming to contribute innovative solutions to the industry and academia. With a blend of industrial, academic, and research experiences, Pallavi Singh is dedicated to advancing the field of Electronics and Communication Engineering through her work as an educator, mentor, and researcher.

Publications 

“Robotic Surveillance Monitoring for Land and Underwater Security”

Authors: Manoharan, L., Singh, P., Kumar, V.V., Adhil, M., Priyan, S.S.

Year: 2024

Citations: 0

“Smart City Transport Updater”

Authors: Kavitha, C.B., Singh, P., Vardhan, K.L., Deepak, D.

Year: 2023

Citations: 0

“Neural Network Architecture for ROI Segmentation Based on Melanoma Detection”

Authors: Singh, P., B.c, K., Naveen, P., Reddy, N.K.

Year: 2023

Citations: 0

Journal Articles

“Light fidelity optical network a comparative performance evaluation”

Authors: Tripathi, D.K., Singh, P.

Year: 2023

Citations: 1

“Novel approach to jointly optimize working and spare capacity of survivable optical networks”

Authors: Singh, A.K., Arun, V., Singh, P., Upadhayay, K.K.

Year: 2023

Citations: 0

“Comparative study of all-optical INVERTER and BUFFER gates using MZI structure”

Authors: Singh, P., Singh, A.K., Arun, V., Tripathi, D.K.

Year: 2023

Citations: 4

Conclusion

Dr. Pallavi Singh is a strong candidate for the “Most Cited Article Award.” Her impactful contributions to optical systems and logic gate designs, coupled with a consistent record of publications in high-impact journals, highlight her excellence in research. Addressing minor gaps in collaboration and visibility could further solidify her candidacy for this prestigious recognition.