Gå til hovedinnhold
0
Hopp til hovedinnhold
Muhammad Hamza Zafar

Muhammad Hamza Zafar

Stipendiat

Institutt for ingeniørvitenskap >

 

+47 37 23 37 44

+47 489 19 198

Kontor:
D3063 ( Jon Lilletuns vei 9, Grimstad )

Forskning

His research interests include robotics, wearables, human-robot teaming, deep learning and sustainable technologies.

Utvalgte publikasjoner

 

Vitenskapelige publikasjoner

  • Muqeet, Abdul; Israr, Asif; Zafar, Muhammad Hamza; Mansoor, Majad; Akhtar, Naureen (2023). A novel optimization algorithm based PID controller design for real-time optimization of cutting depth and surface roughness in finish hard turning processes. Results in Engineering (RINENG). ISSN: 2590-1230. 18doi:10.1016/j.rineng.2023.101142.
  • Abou Houran, Mohamad; Salman Bukhari, Syed M.; Zafar, Muhammad Hamza; Mansoor, Majad; Chen, Wenjie (2023). COA-CNN-LSTM: Coati optimization algorithm-based hybrid deep learning model for PV/wind power forecasting in smart grid applications. Applied Energy. ISSN: 0306-2619. 349doi:10.1016/j.apenergy.2023.121638.
  • Zafar, Muhammad Hamza; Mansoor, Majad; Abou Houran, Mohamad; Khan, Noman Mujeeb; Khan, Kamran; Raza Moosavi, Syed Kumayl; Sanfilippo, Filippo (2023). Hybrid deep learning model for efficient state of charge estimation of Li-ion batteries in electric vehicles. Energy. ISSN: 0360-5442. 282doi:10.1016/j.energy.2023.128317.

Forskningsgrupper

I sosiale medier

Sist endret: 26.05.2023 13:05