Biography:
Gopal Lal Rajora completed his bachelor of Technology in Electronics Instrumentation and Control Engineering at Rajasthan Technical University, India, in 2015. He received a Master of Science in Applied Telecommunication and Engineering Management from Universitat Politècnica de Catalunya, Spain. Also, he holds a master of Science in Finance which he received from the University of Siena, Italy. Since November 2020 he has been working as a Researcher in Training and a doctoral student at the Institute of Technological Research (IIT) of the Universidad Pontificia Comillas, Madrid Spain.
Experience:
April 2014- August 2014.Traineeship Rochem Water treatment, Bhilwara Rajasthan, India. Worked on water purification system November 2013-Febuary 2014. Internship. DRM Office, North Western Railway, Bikaner, Rajasthan Indian Railway
Skills:
Communications and Signal Processing: Probability, Random Variables, Stochastic Processes, Estimation. Python Experience: Basics, Data Analysis, Project on Classification problem, Data flow, AWS Lambda. Py-spark, Experience in Data Collection using various tools. HTML5, CSS3, JavaScript, jQuery, Bootstrap, PHP GitHub.
G.L. Rajora, M.A. Sanz-Bobi, L. Bertling Tjemberg, P. Calvo-Báscones, "Refining Open-Source Asset Management Tools: AI-Driven Innovations for Enhanced Reliability and Resilience of Power Systems", Technologies, Vol. 14, nº. 1, pp. 57, January 2026. [Online: January 2026] doi: 10.3390/technologies14010057
JCR-JIF: 3,600 Q1 (2024) - SJR: 0,793 Q1 (2025) G.L. Rajora, M.A. Sanz-Bobi, C. Mateo, L. Bertling Tjemberg, "An Open-Source Tool-Box for Asset Management based on the asset condition for the Power System", IEEE Access, Vol. 13, pp. 49174 - 49186, 2025. [Online: March 2025] doi: 10.1109/ACCESS.2025.3551663
JCR-JIF: 4,200 Q2 (2025); - SJR: 0,884 Q1 (2025); G.L. Rajora, M.A. Sanz-Bobi, L. Bertling Tjemberg, J.E. Urrea Cabus, "A review of asset management using artificial intelligence-based machine learning models: applications for the electric power and energy system", IET Generation, Transmission & Distribution, Vol. 18, nº. 12, pp. 2155 - 2170, June 2024. [Online: June 2024] doi: 10.1049/gtd2.13183
JCR-JIF: 2,600 Q2 (2024); 2,800 Q2 (2025) - SJR: 0,748 Q2 (2024); 0,696 Q2 (2025) M. Nafees Muneera, G. Anbu Selvi, V. Vaissnave, G.L. Rajora, "A cryptographic based I2ADO-DNN security framework for intrusion detection in cloud systems", International Journal of Computer Network and Information Security, Vol. 15, nº. 6, pp. 40 - 51, December 2023. doi: 10.5815/ijcnis.2023.06.04
SJR: 0,307 Q3 (2023); 0,286 Q3 (2025) 
