Professor Asen Asenov

Summary of research interests

Asen Asenov (FIEEE, FRSE) received his MSc degree in solid state physics from Sofia University, Bulgaria in 1979 and the PhD degree in physics from The Bulgarian Academy of Science in 1989.

He has ten years of industrial experience as a head of the Process and Device Modelling Group in Institute of Microelectronics, Sofia, developing one of the first integrated process and device CMOS simulators IMPEDANCE. In 1989–1991 he was a Visiting Professor at the Physics Department of Technical University of Munich, Germany. He joined the Department of Electronics and Electrical Engineering at the University of Glasgow in 1991, and served as a Head of Department in 1999-2003.

As a James Watt Professor in Electrical Engineering and a Leader of the Glasgow Device Modelling Group Asenov directs the development of 2D and 3D quantum mechanical, Monte Carlo and classical device simulators and their application in the design of advanced and novel CMOS devices. He has pioneered the simulations of statistical variability in nano-CMOS devices including random dopants, interface roughness and line edge roughness. He has over 550 publications and more than 160 invited talks in the above areas.



Affiliate (School of Engineering)


Dr. Adamu-Lema is a Glasgow University Affiliate and currently he is with Semiwise Ltd based at the University of Glasgow. He has more than 17 years of semiconductor device modeling and simulation experience in a research environment. His area of expertise includes course development, statistical simulation analysis, which is related to variability and reliability in advanced nano-scale devices, and statistical compact model. He has been involved with numerous research projects as a project co-ordinator and on different levels of collaborative tasks.He is also involved in teaching and course development of Electronics devices.

Google Scholar 



  • Affiliate (School of Engineering)


Tapas Dutta received the Ph.D. degree in nanoelectronics and nanotechnology from the Grenoble INP, France. Afterwards, he joined IIT Kanpur, India as a postdoctoral researcher. Since September 2017, he has been with the Device Modeling Group at the University of Glasgow, where he has been a co-developer of NESS (Nano Electronic Simulation Software). He was also with Semiwise Ltd., Glasgow during 2017-2021 where he worked on the development and commercialization of several new technologies: a variability-resistant CMOS architecture, CMOS variability driven encryption technology, 1-transistor SRAM etc.


  • Affiliate (School of Engineering)
Dr. Topaloglu is an expert in advanced modelling and simulation of power electronic circuits and semiconductor devices. He received the B.Eng, M.Eng. and PhD in electronic and electrical engineering. Dr. Topaloglu has an impressive number of high-quality publications in esteemed journals, such as Solid-State Electronics, IEEE, Journal of Electrical Engineering & Technology, as well as conference proceedings from leading international conferences, symposiums, and workshops (IEEE, SISPAD, etc.,). Some of his key scientific contributions to the field of Electrical Electronic Engineering can be summarized as:  
  • Developing new algorithms and numerical methods which he successfully implemented in numerical solver (Poisson) such as NESS at University of Glasgow. Key skills for this: C++, Python, GIT, Linux, Bash Script, etc,. 
  • State of the art design and optimization of power electronic devices such as MOSFET, HEMT, BJT, IGBT, DIODE, SiC devices, Si devices, GaN devices, transient analysis, mixed mode simulations, TCAD modelling, etc, in his current IUK project in Semiwise. Key skills for this: Synopsys Sentaurus knowledge, Linux, Python, Script, etc,. 
  • Extensive knowledge and know-how of optimization methods (e.g., numerical, and artificial intelligence) in the area not only of device modelling but also in device optimization. 
  • He has 14 years of of teaching experience, research project co-ordinator. His research interests are Nanoelectronics, Software development, Electromagnetic fields, Machine Learning, Statistical computation, Nanosensors, and Quantum technology. He also works on artificial intelligence and deep learning.

Nikolas Xeni


Nikolas Xeni Received his B.Eng. degree in Computer and Electronic systems engineering, with focus on Robotics and Mechatronics from Glasgow Caledonian University, Glasgow, U.K., in 2017. During the period of 2017-2019 worked as a Firmware Engineer under two companies and as a freelancer. In 2019, joined the Device Modelling Group at the School of Engineering, University of Glasgow for a PhD in nanoelectronics and semiconductor devices. Joined Semiwise ltd. in April 2022 as a software and TCAD Engineer.