The following people constitute the Editorial Board of Academic Editors for PeerJ Computer Science. These active academics are the Editors who seek peer reviewers, evaluate their responses, and make editorial decisions on each submission to the journal. Learn more about becoming an Editor.
Khalid Mahmood Aamir received Ph.D. degree in Computer Engineering (2008) from Lahore University of Management Sciences (LUMS), Lahore, Pakistan. In 1999, he received his MS in Systems Engineering, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Quaid-e-Azam University, Islamabad, Pakistan. Currently, he is working as Assistant Professor at Department of Computer Science and IT, University of Sargodha, Sargodha, Pakistan. His research interests include machine learning, bioinformatics and medical signal processing.
Karl Aberer is a full professor for Distributed Information Systems at EPFL Lausanne, Switzerland, since 2000; from 2005 to 2012 the director of the Swiss National Research Center for Mobile Information and Communication Systems (NCCR-MICS, www.mics.ch); since September 2012 he is Vice-President of EPFL responsible for information systems; member of the editorial boards of VLDB Journal, ACM Transaction on Autonomous and Adaptive Systems and World Wide Web Journal.
Dr. Berdakh Abibullaev received his M.Sc. and Ph.D. degrees in electronic engineering from Yeungnam University, South Korea in 2006, and 2010, respectively. He held research scientist positions at Daegu-Gyeongbuk Institute of Science and Technology (2010-2013) and at Samsung Medical Center, Seoul, South Korea (2013-2014). In 2014, he received the National Institute of Health postdoctoral fellowship to join a multi-institutional research project between the University of Houston and Texas Medical Center in developing neural interfaces for rehabilitation. He is currently an Assistant Professor at Robotics Department, Nazarbayev University, Kazakhstan. His research focuses on machine learning algorithms, neural signal processing and Brain-Computer/Machine Interfaces.
Adnan Abid is a Professor of Computer Science in the Department of Computer Science at University of Management and Technology, Pakistan. He is a member of IEEE and has been associated with Editorial Boards of well-reputed journals in the area of Computer Science. He completed his PhD from Politecnico di Milano, Italy in 2012.
Professor in Computer Science at Mälardalen University, Sweden, specialising in research areas such as software testing, software quality, software metrics and empirical software engineering in general.
Assistant Professor in the department of computer systems technology at North Carolina A & T State University. Research interests: Big data Analytics, Cloud Computing, Topic Modelling, and Geo Spatial information systems. Member of IEEE, ACM, and ASEE. Published more than 50 referred journal and conference papers and 4 book chapters.
Ayaz Ahmad is currently serving as Assistant Professor in the Department of Electrical and Computer Engineering, COMSATS University Islamabad - Wah Campus, Wah Cantt., Pakistan. He obtained his MS and Ph.D. degrees both in Telecommunication from Ecole Superieure d’Electricite (Supelec), Gif-sur-Yvette, France, in 2008 and 2011, respectively. He obtained his B.Sc. in Electrical Engineering from University of Engineering and Technology, Peshawar, Pakistan in 2006. From 2006 to 2007, he was a faculty member at the Department of Electrical Engineering, FAST-NUCES, Peshawar, Pakistan. Ayaz has several years of research experience and has authored/coauthored several scientific publications in various refereed international journals and conferences. He has also published several book chapters and is the leading co-editor of the book entitled, "Smart Grid as a Solution for Renewable and Efficient Energy" published in 2016. He is currently an Associate Editor with IEEE Access, and Springer Human-centric Computing and Information Sciences. He has also served as the guest editor of two special issues for IEEE Access. He is Senior Member of IEEE. His research interests include resource allocation in wireless communication systems, energy management in smart grid, and application of optimization methods to engineering problems.
Ghufran Ahmad's research focuses on microeconomic theory specifically dealing with resource allocation, social choice, and matching problems. He is currently working as an Assistant Professor at NUST Business School, Pakistan.
He received his B.Sc. (Hons) in Economics from Lahore University of Management Sciences, Pakistan in 2012. After that, he joined Texas A&M University in College Station, TX, USA to pursue his Ph.D. in Economics, completing it in 2017 under the supervision of Dr. Guoqiang Tian and Dr. Vikram Manjunath.
Dr. Irfan Ahmad is an Assistant Professor in Information and Computer Science department at King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia. He received his PhD in Computer Science from TU Dortmund, Germany in 2017.
Dr. Ahmad's research interests are in the areas of pattern recognition especially in document-image analysis, handwriting recognition, and machine-printed text recognition. In addition, he is also interested in machine learning and its applications including deep learning.
Sedat Akleylek received a B.Sc. degree in Mathematics majoring in Computer Science from Ege University in 2004 in Izmir, Turkey. His M.Sc. and Ph.D. degrees in Cryptography are from Middle East Technical University in 2008 and 2010, in Ankara, Turkey, respectively.
He is currently employed as an associate professor at the Department of Computer Engineering, Ondokuz Mayis University, Samsun, Turkey since 2016. He is also affiliated with the Cryptography Program at IAM, METU, Ankara, Turkey. He had a postdoctoral researcher position at the Cryptography and Computer Algebra Group, TU Darmstadt from July 2014 to July 2015. His research interests include in the areas of post-quantum cryptography, cryptographic functions, algorithms and complexity, architectures for computations in finite fields and machine learning for cyber security.
I am currently working as a Senior Lecturer at Nottingham Trent University, School of Science and Technology/Department of Computer Science, United Kingdom. My research interest includes the Internet of Things (IoT) and Applications, Health and IoT Applications, Data Science, Network Infrastructures & Emerging Technologies, Artificial Intelligence, Computational Intelligence and 5G Wireless Communications. I have established collaboration with the different international institutions over the world. I am an Associate Editor for IEEE Access and IEEE Sensors journals. I am a member of the Network Infrastructure and Cyber Security group (NICS) at NTU. I am involved in different projects with industries.
Alma Y. Alanis, received the Ph.D. degree in electrical engineering from the Advanced Studies and Research Center of the National Polytechnic Institute (CINVESTAV-IPN), Guadalajara Campus, Mexico, in 2007. Since 2008 she has been with University of Guadalajara, where she is currently a Chair Professor in the Department of Computer Science and since 2016 is dean of PhD Program of Electronic and Computer Sciences. She is also member of the Mexican National Research System (SNI-2) and member of the Mexican Academy of Sciences. She has published papers in recognized International Journals and Conferences, besides eight International Books. She is a Senior Member of the IEEE and Subject Editor of the Journal of Franklin Institute (Elsevier), IEEE/ASME Transactions on Mechatronics, IEEE Access, IEEE Latin American Transactions and Intelligent Automation & Soft Computing. In 2013 she receives the grant for women in science by L'Oreal-UNESCO-AMC-CONACYT-CONALMEX. In 2015, she receives the Research Award Marcos Moshinsky. Since 2008 she is member for the Accredited Assessors record RCEA-CONACYT, evaluating a wide range of national research projects, besides she has belonged to important project evaluation committees of national and international research projects. Her research interest centers on neural control, backstepping control, block control, and their applications to electrical machines, power systems and robotics.