Assist Prof Dr. Mohammad Alauthman | Detection | Excellence in Research

Assistant Professor at Information Security Department, University of Petra, Jordan

Dr. Mohammad Alauthman is an accomplished academic with a focus on cybersecurity and network security. Currently serving as an Assistant Professor at Petra University in Amman, Jordan, since 2020, Mohammad teaches a variety of courses in the Department of Information Security, including topics such as SOC analyst, Ethical Hacking, and Digital Forensics Investigation. Prior to this role, Mohammad was an Assistant Professor at Zarqa University from 2016 to 2020, where they taught courses in computer science, including Advanced Information and Networks Security and Introduction to Cybersecurity. Mohammad’s research interests lie in the application of artificial intelligence to cybersecurity, particularly in areas such as botnet detection, DDoS detection, and spam email detection. They have received grants for several research projects, demonstrating their dedication to advancing knowledge in their field. Mohammad’s academic background and teaching experience make them a valuable asset to the academic community, contributing to both research and education in the field of cybersecurity.

Profile

Education

Dr. Mohammad Alauthman is an Assistant Professor with a strong background in computer science and a specialization in network security. They earned their Ph.D. in Computer Science from Northumbria University at Newcastle, UK, in 2016, with a focus on Network Security. Their doctoral thesis, titled “An Efficient Approach to Online Bot Detection Based on a Reinforcement Learning Technique,” demonstrates their expertise in this field. Prior to their Ph.D., Mohammad completed a Master’s degree in Computer Science from Amman Arab University, Jordan, in 2005, and a Bachelor’s degree in Computer Science from Hashemite University, Jordan, in 2002. Mohammad’s academic journey has equipped them with a comprehensive understanding of computer science principles, particularly in the realm of network security.

Experience:

Dr. Mohammad Alauthman has a wealth of experience in academia, holding key positions at various institutions. Since 2021, they have served as the Chairman of the Information Security department at the Faculty of Information Technology, University of Petra, Amman, Jordan. Mohammad has also been a Full-time Assistant Professor in the Department of Information Security at the same university since 2020. Prior to their current role, Mohammad was the Chairman of the Internet Technology department and an Assistant Professor at the Faculty of Information Technology, Zarqa University, Jordan, from 2018 to 2020. Before that, they were a Full-time Assistant Professor in the Computer Science Department at Zarqa University from 2016 to 2018. Mohammad’s academic career also includes positions as a Lecturer in the Department of Computer Science and Information at Majmmah University, Saudi Arabia, from 2008 to 2012, and as a Lecturer at Al-Balqa Applied University, Jordan, from 2007 to 2008. These roles have provided Mohammad with a diverse range of experiences in academia, contributing to their expertise in computer science and information security.

Research Interest:

Dr. Mohammad Alauthman’s research interests are primarily focused on cybersecurity and network security, with a particular emphasis on cross-layered solutions for intrusion detection systems. Their central research revolves around the use of artificial intelligence for early botnet detection, DDoS detection, spam email detection, Internet of Things (IoT) security, and network traffic classification. In addition to their work in cybersecurity, Mohammad also has research interests in healthcare, specifically in the areas of skin cancer detection, diabetic retinopathy, and pain intensity assessment, utilizing deep learning techniques. Their research projects are interdisciplinary and aimed at addressing real-life problems, reflecting their commitment to advancing knowledge and solving practical challenges in these fields.

Grants:

Dr. Mohammad Alauthman has received several grants to support their research in cybersecurity and network security. In 2022, they were awarded a grant from the Dean of Scientific Research at the University of Petra (UoP) for a project titled “Forecasting Citation Counts Using Deep Recurrent Neural Network Techniques.” In 2021, Mohammad received a grant from Al-Balqa Applied University for a project focused on “Darknet Traffic Identification Using Max Voting Algorithms.” Prior to that, in 2019, they received another grant from Al-Balqa Applied University for their work on “Fast Flux Botnet Catcher Approach (FFBCA).” At Zarqa University (ZU), Mohammad received grants from the Dean of Scientific Research for two projects. In 2017, they received a grant for a project titled “P2P Bot Detection Using Deep Learning with Traffic Reduction Schema.” In 2018, Mohammad received a grant for a project titled “Botnet Spam Email Detection Using Deep Recurrent Neural Network.” These grants highlight Mohammad’s dedication to advancing research in cybersecurity and network security, focusing on innovative approaches to detect and mitigate threats.

Teaching Experience:

Dr. Mohammad Alauthman has been serving as an Assistant Professor at Petra University in the Department of Information Security, Faculty of Information Technology, Amman, Jordan, since 2020. In this role, they teach a range of courses covering topics such as SOC analyst, Ethical Hacking, Intrusion Detection System, Digital Forensics Investigation, Database Security, E-commerce Environment Security, Information and Network Security, Wireless Networks, and Introduction to Data Communication & Networking. Prior to joining Petra University, Mohammad was an Assistant Professor at Zarqa University in the Department of Computer Science, Faculty of Information Technology, Zarqa, Jordan, from 2016 to 2020. During their tenure at Zarqa University, Mohammad taught courses including Advanced Information and Networks Security (Master Level), Introduction to Cybersecurity, Introduction to Machine Learning, Networks, Artificial Intelligence, Special Languages in CS II (Python), Information Retrieval, Programming Language I (Java), Concepts of Programming Languages, Research Methodology and Ethics, and Advanced Programming Language (C#). These positions highlight Mohammad’s expertise in teaching a wide range of topics related to computer science and information security.

Publications:

IoT transaction processing through cooperative concurrency control on fog–cloud computing environment
- Authors: A Al-Qerem, M Alauthman, A Almomani, BB Gupta
- Citations: 244
- Year: 2019
An efficient reinforcement learning-based Botnet detection approach
- Authors: M Alauthman, N Aslam, M Al-Kasassbeh, S Khan, A Al-Qerem, KKR Choo
- Citations: 131
- Year: 2020
A P2P Botnet detection scheme based on decision tree and adaptive multilayer neural networks
- Authors: M Alauthaman, N Aslam, L Zhang, R Alasem, MA Hossain
- Citations: 129
- Year: 2018
Phishing Website Detection With Semantic Features Based on Machine Learning Classifiers: A Comparative Study
- Authors: A Almomani, M Alauthman, MT Shatnawi, M Alweshah, A Alrosan
- Citations: 120
- Year: 2022
DNS rule-based schema to botnet detection
- Authors: K Alieyan, A Almomani, M Anbar, M Alauthman, R Abdullah, BB Gupta
- Citations: 113
- Year: 2021
Machine Learning-driven optimization for SVM-based intrusion detection system in vehicular ad hoc networks
- Authors: A Alsarhan, M Alauthman, E Alshdaifat, AR Al-Ghuwairi, A Al-Dubai
- Citations: 49
- Year: 2023
Feature selection using a machine learning to classify a malware
- Authors: M Al-Kasassbeh, S Mohammed, M Alauthman, A Almomani
- Citations: 49
- Year: 2020
An online intrusion detection system to cloud computing based on NeuCube algorithms
- Authors: A Almomani, M Alauthman, F Albalas, O Dorgham, A Obeidat
- Citations: 43
- Year: 2018
Machine learning for phishing detection and mitigation
- Authors: M Alauthman, A Almomani, M Alweshah, W Alomoush, K Alieyan
- Citations: 28*
- Year: 2019
Botnet Spam E-Mail Detection Using Deep Recurrent Neural Network
- Authors: M ALAUTHMAN
- Citations: 26
- Year: 2020

Mr. Iddrisu Salifu, Artificial Intelligence, Best Researcher Award

Iddrisu Salifu at University of Cape Coast, Ghana

Mr. Iddrisu Salifu is a multidisciplinary researcher with a keen focus on coastal zone management, cardiometabolic epidemiology, and economic development. He holds a Master of Philosophy in Integrated Coastal Zone Management and another in Economics, reflecting his diverse academic background. Currently serving as a Research Scientist at the Cardiometabolic Epidemiology Research Laboratory (CERL), University of Cape Coast, Mr. Salifu actively contributes to investigating epidemiological aspects of cardiometabolic diseases while overseeing data collection, analysis, and manuscript preparation efforts. Additionally, he serves as a Tutor at the Institute of Education Sandwich Programme, where he teaches undergraduate economics courses. With a wealth of experience in field research, Mr. Salifu has collaborated on various projects focusing on coastal resilience, fisheries management, and economic development, demonstrating his commitment to addressing pressing societal issues. His dedication to research and his interdisciplinary approach underscores his efforts to advance knowledge and contribute to sustainable development initiatives.

Education:

Master of Philosophy (MPhil) in Integrated Coastal Zone Management, Africa Centre of Excellence in Coastal Resilience (ACECoR), University of Cape Coast, 2020-2022.
Master of Philosophy (MPhil) in Economics, University of Cape Coast, Ghana, 2017-2019.
Bachelor of Arts (BA) in Economics and Geography, University of Cape Coast, 2011-2015.

Profile:

Work Experience:

Research Scientist: Cardiometabolic Epidemiology Research Laboratory (CERL), Department of Health, Physical Education and Recreation (HPER), University of Cape Coast, July 2023-Present.

Tutor: Institute of Education Sandwich Programme, University of Cape Coast, August 2022-Present.

Assistant Secretary: African Science Frontiers Initiative (ASFI) Ambassadors, June 2022-Present.

Graduate Research Fellow: Chamber for Tourism Industry Ghana (CTI Ghana), August 2020-Present.

Field Research Assistant in various projects.

Honours & Awards:

World Bank’s Africa Centre of Excellence Scholarship, December 2020-Present.

Sustainable Ocean Alliance (SOA) Microgrant Winner, 2021.

CDO’s Power to the Fisher’s Project Microgrant Winner, 2021.

Professional Experience:

Mr. Iddrisu Salifu has accumulated diverse professional experiences across research, academia, and project management. Currently, he serves as a Research Scientist at the Cardiometabolic Epidemiology Research Laboratory (CERL) within the Department of Health, Physical Education, and Recreation (HPER) at the University of Cape Coast. In this role, he plays a pivotal role in devising strategies and plans to investigate epidemiological aspects of cardiometabolic diseases. His responsibilities include overseeing data collection, analysis, and manuscript preparation efforts, as well as supporting research funding efforts by writing grant proposals to secure resources for research projects.

In addition to his research role, Mr. Salifu also contributes to academia as a Tutor at the Institute of Education Sandwich Programme, University of Cape Coast. Here, he teaches various courses in economics at the undergraduate level, leveraging his academic background and expertise to educate and mentor students.

Furthermore, Mr. Salifu has served as an Assistant Secretary for the African Science Frontiers Initiative (ASFI) Ambassadors, where he plays a crucial role in fostering excellence in Africa’s science through competence acquisition, capacity building, and career development initiatives. Additionally, he serves as a Graduate Research Fellow at the Chamber for Tourism Industry Ghana (CTI Ghana), where he is involved in deciding on research programs and methodologies in collaboration with colleagues.

With his extensive experience as a Field Research Assistant on various projects related to agriculture, economics, and education, Mr. Salifu has demonstrated his ability to organize, supervise, and assist in data collection efforts, contributing valuable insights to research initiatives.

Research Interests:

Mr. Iddrisu Salifu’s research interests lie at the intersection of various disciplines, primarily focusing on coastal zone management, cardiometabolic epidemiology, and economic development. He is particularly interested in exploring strategies for enhancing the resilience of coastal communities to environmental hazards and climate change impacts. Additionally, his research delves into the epidemiological aspects of cardiometabolic diseases, aiming to understand their prevalence, risk factors, and public health implications. Furthermore, Mr. Salifu is passionate about examining economic development policies and their effects on sustainable tourism, fisheries management, and environmental conservation. Through his work, he aims to contribute to evidence-based decision-making processes and foster socio-economic development that is both inclusive and environmentally sustainable.

Mohammad Alauthman | Detection | Excellence in Research

Assist Prof Dr. Mohammad Alauthman | Detection | Excellence in Research

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Assist Prof Dr. Mohammad Alauthman | Detection | Excellence in Research

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Education

Experience:

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Teaching Experience:

Publications:

Mr. Iddrisu Salifu, Artificial Intelligence, Best Researcher Award

Education:

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