Dr Hamidreza Arjmandi

• PhD in Electrical Engineering, Electrical Engineering Department, Sharif University of Technology, Tehran, Iran  Thesis Topic: Molecular Communications. 
• Visiting PhD candidate, Friedrich-Alexander University of Erlangen-Nuremberg, Erlangen, Germany. 
• MSc in Electrical Engineering, School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran.
• BSc in Electrical Engineering, Shahed University, Tehran, Iran.

Dr Hamidreza Arjmandi serves as an Assistant Professor in Bioinformatics at the Institute of Cancer and Genomic Sciences in the College of Medical and Dental Sciences. Prior to joining the University of Birmingham, he held positions of Research Fellow and Assistant Professor (Research-Focused) at the University of Warwick from 2021 to 2023. During his tenure at Warwick, Dr Arjmandi received the Warwick BBSRC Flexible Talent Mobility Award and established productive collaborations with leading pharmaceutical companies, including AstraZeneca.

Before his time at Warwick, Dr Arjmandi held the position of Assistant Professor at the Electrical Engineering Department of Yazd University in Iran from 2016 to 2021. He was also the recipient of a competitive European Research Consortium for Informatics and Mathematics fellowship, hosted by the Norwegian University of Science and Technology in Trondheim, Norway, from 2019 to 2021.

In addition, Dr Arjmandi serves as an Associate Editor for IEEE Transactions on Nanobioscience. He has also taken on leadership responsibilities, serving as the lead TPC co-chair for the Workshop on Molecular Communications in the UK in 2022,  local organization chair for the ACM International Conference on Nanoscale Computing and Communication (NanoCom) held in UK, in 2023, and Chair of Challenges and Competitions in 27th Iranian Conference on Electrical Engineering, Yazd, Iran, 2019.

Dr Arjmandi's leadership extends to his involvement as the principal investigator for the "molecular communication networks" project funded by the Iran National Science Foundation from 2016 to 2018. Dr Arjmandi has contributed in development of two experimental molecular communications testbeds, leading to the publication of significant research findings.

Biological Data Analysis and Signal Processing

• Utilizing machine learning algorithms for analyzing biological data and signals
• Development of diffusion signal processing techniques for analyzing Microphysiological systems
• Exploration of mass transport phenomena in biological systems and its impact on disease development
• Investigation of semantic information and communication in biology to understand underlying processes from the information perspective 

Biocompatible Communication Systems

• Investigation of the fundamental principles of molecular communication
• Development of biosynthetic communication networks for health monitoring and early detection.
• Development of intelligent drug delivery systems to enhance targeted therapy effectiveness.
• Establishment of micro/nano/bio robotic communication networks

Associate Editor of IEEE Transactions on Nanobioscience