Sulyman Abdulkareem – Network Intrusion Detection – Best Researcher Award

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Sulyman Abdulkareem – Network Intrusion Detection – Best Researcher Award

Assoc Prof Dr. Sulyman Abdulkareem  distinguished academic and researcher in the field Network Intrusion Detection. He is a performance-driven Project Manager with an extensive academic background in Management and Information Systems and over 10 years of experience managing cross-functional teams to drive cost-effective technology solutions and execute key business projects in a technical environment. He has a proven ability to effectively manage knowledge, communicate, collaborate, and coordinate core IT functions, third parties, and vendors on initiatives to ensure project integration and alignment with overall requirements, security, compliance, standards, and quality assurance. Adept at managing all aspects of solution delivery, he excels in research, analysis, scope definition, resource planning and allocation, budget management, document development, status reporting, risk management, and change control.

🌐 Professional Profile

Educations📚📚📚

He holds a Doctor of Philosophy in Information and Communication Systems from the University of Surrey and a Master of Science in Management Information Systems with Distinction from Coventry University. Additionally, he has earned several professional certifications, including PRINCE 2 Foundation, CMI Level 7 in Professional Consulting, CMI Level 7 in Strategic Management and Leadership, and a certification in Security Policy Development.

 

PROFESSIONAL EXPERIENCE

Since October 2019, he has been serving as a Project Manager at IMBIL Consultancy Services Limited in London. In this role, he implemented a new Case Management System (CMS) tailored to the department’s specific needs, leading to a 40% increase in workflow efficiency and overall productivity of the legal department. He oversaw the development and implementation of a comprehensive enterprise resource planning (ERP) system for a major client, coordinating cross-functional teams, managing timelines and budgets, and ensuring the project met all specified requirements. He led the integration of a machine learning model into a client solution to predict customer behavior for e-commerce activities, enhancing business intelligence and personalized marketing strategies. Additionally, he implemented a data security system for a financial client in compliance with GDPR, ensuring all project activities adhered to relevant industry standards. He conducted daily stand-ups, regular project retrospectives, and feedback sessions, identifying areas for improvement and implementing process optimizations. By refining development processes, improving communication within the project team, and adopting new tools, he enhanced team efficiency and project quality. He standardized the filing system and promoted the use of cloud documentation and storage via SharePoint. Efficiently organizing and coordinating meetings with stakeholders, he scheduled, sent out invitations, prepared meeting agendas, took minutes, and distributed them promptly to ensure clear communication and accountability. He successfully optimized project processes by conducting gap analysis, gathering data on current processes, identifying associated KPIs, and redesigning these processes to improve alignment with desired outcomes, achieving a 65% improvement in these processes.

 

Doctoral Researcher –University of Surrey

He coordinated the DEDICAT 6G project in collaboration with industry giants like Airbus, Nokia, and Orange under the EU’s Horizon 2020 program, securing over €6 million in funding to enhance network efficiency and security. He led the design and implementation of an advanced Network Intrusion Detection Classifier for IoT networks, achieving superior efficiency and effectiveness compared to existing solutions. His groundbreaking research efforts culminated in the publication of a paper titled “IoT Network Intrusion Detection with Ensemble Learners,” detailing the development and success of an innovative network intrusion detection classifier. He collaborated effectively with project team members and security consultants at Mafic Ltd, contributing significantly to the successful completion of IoT solutions by documenting crucial research findings. He demonstrated proficiency in stakeholder management, and agile, waterfall, lean, PRINCE 2, SAFe, and SDLC methodologies. His expertise spans service management, risk and business analysis, process optimization, planning and budgeting, user acceptance testing (UAT), system administration, change management, requirements analysis, and documentation and reporting. He secured smooth laboratory operations and maintained up-to-date standardized operating procedures, resulting in a remarkable 90% success rate in meeting project deadlines. His planning and organizational skills ensured smooth operations by designing a comprehensive weekly schedule, maximizing productivity and efficiency.

As a lecturer at the University of Ilorin from February 2018 to September 2019, he collaborated with a software firm to develop new cybersecurity protocols, providing students with practical experience and creating innovative solutions that benefited the company. He established numerous partnerships with tech companies to collaborate on applied research projects. He led a pioneering research project on renewable energy technologies, engaging undergraduate and graduate students, yielding sustainable energy solutions and publishable research findings that significantly advanced the academic community’s understanding and the industry’s capabilities. He led annual research conferences and regular workshops at the university, where students and faculty could present their project findings, focusing on trending topics such as AI and inviting industry experts to provide networking opportunities for students. He supervised undergraduate projects, guiding more than 20 students through their research endeavors, achieving a remarkable 100% pass rate and witnessing a notable 20% increase in student engagement and active participation in various research and development initiatives. He successfully managed undergraduate class assignments and assessments, resulting in a high 95% completion rate and a notable 15% grade improvement by implementing strategies such as ensuring 95% lecture attendance and enhancing lecture materials, which reduced failure rates by 5% and fostered increased student engagement.

IT Project Manager

• Successfully led the Lifestalia Loan app project delivery within budget and ahead of schedule; Partnered with Apple and Google to deploy
on the App Store and Google Play store. Collaborated with cross-functional teams to uphold the Agile methodology in delivering this project,
resulting in a 30% improvement in project delivery time and a 15% increase in team productivity.
• Implemented UX enhancements based on findings, conducted comprehensive user research and analysis, and identified pain points and
areas for improvement within the app interface. Achieved a 25% increase in user satisfaction and a 20% decrease in user churn rate.
• Collaborated with the Power BI team to create real-time dashboards accessible to cross-functional teams, providing actionable insights into
current user trends, app usage metrics, and the impact of new and already-existing processes, improving decision-making by 60%.
• Effectively managed a high caseload of tasks while maintaining standards and adhering to established protocols. Prioritised tasks based on
urgency, efficiently allocating time and resources to assist clients and attend to other essential duties.
• Responsible for developing and maintaining project documentation. Utilised Trello, Jira, SharePoint, MS Project, and Visio in managing
multiple projects simultaneously within tight deadlines, ensuring seamless communication among stakeholders by preparing project status
& progress reports. Oversaw project timelines, budget tracking, and risk management to ensure the timely delivery of high-quality solutions
that meet client expectations and drive business growth.
• Oversaw transitioning on-premises servers, applications, and data to cloud-based platforms, AWS specifically. Elicited and documented
requirements for the change and developed UAT scripts and comprehensive migration steps.
• Established a robust risk management framework using the RAID log to identify, assess, and mitigate risks across project operations.
Conducted risk assessments, developed risk registers, and implemented risk mitigation strategies, resulting in a proactive approach to risk
management and a 15% reduction in compliance-related incidents.
• Prepared business and financial cases that contained forecasts, methods, assumptions, adopted metrics and sensitive analysis to help
management and other stakeholders make informed decisions before, during, and after any project.

📝🔬Publications📝🔬

Chien-Hua Tsai – Information Security -Best Researcher Award

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Prof. Dr. Chien-Hua Tsai – Information Security -Best Researcher Award

Chien – Hua Tsai  distinguished academic and researcher in the field Information System.

🌐 Professional Profile

Educations📚📚📚

He is currently a Full Professor in the Department of Accounting Information at Chihlee University of Technology, Taiwan. He earned his Ph.D. in Electrical Engineering and Computer Science from Case Western Reserve University, Ohio, USA in 2000. In 2007, he obtained a professional certificate in Information Security, specifically Certified Ethical Hacker (CEH), from EC-Council (membership ID ECC921640). He offers extensive consulting services on network management practices and has engaged with numerous clients in this capacity.

Journals Published 

Blockchain: Research and Applications, Annals of Operations Research, Information Systems and e-Business Management, The International Arab Journal of Information Technology, Security and Communication Networks, Computers and Electrical Engineering, KSII Transactions on Internet and Information Systems, Journal of Internet Technology

Areas of Research:

Prof. Tsai’s research interests include Information SystemsSecurity, Secure Communication Protocols, Public Key Cryptosystems,Electronic Transaction Security in Computer and Network Security, and Blockchain Technology Applications in Businesses

📝🔬Publications📝🔬

  • A Secure and Efficient Blockchain-Powered Scheme for e-Invoicing Application

    Blockchain: Research and Applications
    2024-07 | Journal article
    DOI: 10.1016/j.bcra.2024.100219
    CONTRIBUTORS: Hsiu-Li Lee; Chien-Hua Tsai

  • Supply chain financing scheme based on blockchain technology from a business application perspective

    Annals of Operations Research
    2023-01 | Journal article
    DOI: 10.1007/s10479-022-05033-3
    CONTRIBUTORS: Chien-Hua Tsai

  • A Robust Secure Self-Certified Concurrent Signature Scheme from Bilinear Pairings

    The International Arab Journal of Information Technology
    2021 | Journal article
    DOI: 10.34028/18/4/6
    Part ofISSN: 2309-4524
    CONTRIBUTORS: Chien-Hua Tsai; Pin-Chang Su

  • The application of multi-server authentication scheme in internet banking transaction environments

    Information Systems and e-Business Management
    2021-03-13 | Journal article
    DOI: 10.1007/s10257-020-00481-5
    CONTRIBUTORS: Chien-Hua Tsai; Pin-Chang Su

Dariush Abbasinezhad-Mood – Network Security – Top Researcher Award

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Dariush Abbasinezhad-Mood – Network Security

Dr.  Dariush Abbasinezhad Mood distinguished academic and researcher in the field Network Security.  His research interests include Cryptography, Trust and Reputation based Systems, Authentication Protocols, Smart Grid Security, Wireless Sensor Networks, Blockchain, Internet of Things, and Embedded Systems. Further, his job interests include Hyperledger Fabric, Linux, Single Board Computers, PCB Design, Networking, and Programming. He reviewed more than 620 articles in 70 journals like IEEE Transactions on Smart Grid, IEEE Transactions on Industrial Informatics, IEEE Systems Journal, and IEEE Internet of Things. He was elected as one of the world’s top reviewers on Publons in Computer Science and Cross-Field in 2019. He is seeking new job and research opportunities in his fields of expertise or other relevant fields. His preference is those jobs that can be done remotely.

 

🌐 Professional Profiles

Educations📚📚📚

He received the B.Sc. degree in Computer Science from Payame Noor University, Mashhad, Iran, in 2009 and the M.Sc. degree in Secure Communications from Imam Reza International University, Mashhad, Iran, in 2016 with the first rank. His M.Sc. thesis, which was about lightweight security protocols for smart grid communications, was elected as top thesis in 2017.

 Academic Positions:

In 2023, he served as a Senior Ethereum smart contract developer and deployer for an international project, working remotely with Unipoly Company based in Turkey. Prior to this, from 2021 to 2022, he was a Senior Hyperledger Fabric network operator and smart contract developer for a national project with RadinChain Company in Mashhad, Iran. His expertise in blockchain was further honed from 2020 to 2021 as a Blockchain expert for another national project at MayanChain Company, also located in Mashhad, Iran.

Before transitioning into blockchain roles, he dedicated his time from 2017 to 2021 to private teaching, focusing on Python, Qt, Hyperledger Fabric, and computer network security. He also imparted knowledge on Python programming, PyQt, PySide, Qt cross-compilation for ARM single board computers, and Hyperledger Fabric network design and smart contract programming. During this period, he engaged in design and programming of custom STM32 and ESP boards.

His earlier experiences include Qt cross-compilation with image processing libraries in 2019 for a knowledge-based company, as well as the preparation of customized Linux for Cubieboard with Qt in 2015, also for a knowledge-based company.

Courses and certificates

• Industrial robotics course (mobile robotics with Robotino) from Technical and Vocational Training Organization of Mashhad.
• LOGO PLC course from Technical and Vocational Training Organization of Mashhad.
• Electronic circuits analysis course with Proteus software from Technical and Vocational Training Organization of Mashhad.
• Fiber optic network designer course from Technical and Vocational Training Organization of Mashhad.
• Human resource management (HRM) course from Technical and Vocational Training Organization of Mashhad.
• Microcontrollers in robotics course from Technical and Vocational Training Organization of Mashhad.
• Entrepreneurship course from Technical and Vocational Training Organization of
Mashhad.
• Customer relationship management (CRM) course from Technical and Vocational
Training Organization of Mashhad.
• Negotiation of sales contracts course from Technical and Vocational Training Organization of Mashhad.
• Executive assistant in legal affairs course from Technical and Vocational Training
Organization of Mashhad.

Achievement

His achievements include being recognized as the top peer reviewer in Computer Science and Cross-Field by Publon in 2019. Additionally, his M.Sc. thesis was awarded the distinction of being the best at Imam Reza International University in Mashhad in 2017. He also ranked first among M.Sc. students at the same university in 2016.

In terms of interests, he demonstrates a passion for problem-solving, collaborating within teams, and a reputation for being hard-working and responsible. Furthermore, he exhibits a strong enthusiasm for learning about innovative technologies.

Publication

2. Ultra-Lightweight and Secure Blockchain-Assisted Charging Scheduling Scheme For
Vehicular Edge Networks By Utilization of NanoPi NEO, IEEE Transactions on
Vehicular Technology, 2022.
4. Efficient provably-secure dynamic ID-based authenticated key agreement scheme
with enhanced security provision, IEEE Transactions on Dependable and Secure
Computing, 2020.
5. Efficient provably-secure privacy-preserving signature-based key establishment protocol, Ad Hoc Networks, 2020.
for vehicle to grid connections with privacy protection, IEEE Transactions on Industrial Informatics, 2020.
7. Design and performance analysis of an efficient single flow IP traceback technique
in the AS level, International Journal of Communication Systems, 2020.
9. Three party secure data transmission in IoT networks through design of a lightweight
authenticated key agreement scheme, Future Generation Computer Systems, 2019.
10. Novel chaotic map-based privacy-preserving authenticated key agreement scheme
without the electricity service provider involvement, Security and Privacy, 2019.
11. Design of a lightweight and anonymous authenticated key agreement protocol for
wireless body area networks, International Journal of Communication Systems,
2019.
12. A secure and efficient key establishment scheme for communications of smart meters
and service providers in smart grid, IEEE Transactions on Industrial Informatics,
2019.

Tariq Mahmood – Network Resilience- Best Researcher Award

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Tariq Mahmood – Network Resilience

Tariq Mahmood  distinguished academic and researcher in the field Network Resilience. His research interests primarily focus on working with deep learning methodologies for integrating and analyzing extensive collections of multi-modal medical images, along with object detection/tracking. His research career began in 2013, with a focus on wireless sensor networks, specifically underwater sensor networks, and security on smartphone platforms, particularly Android. He worked on usage control and attestation for this immensely popular smartphone software stack.

During graduation, he successfully completed and delivered machine learning-based applications. Subsequently, his interests have evolved towards the development of machine learning and deep learning models to aid medical image analysis for tumor detection. He possesses hands-on experience working with radiology images and applying various deep learning techniques, including Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), time-series analysis, feature extraction, reinforcement, and supervised/unsupervised learning.

This diverse skill set positions him to contribute meaningfully to the dynamic intersection of deep learning and medical imaging. The application of these methodologies not only facilitates the integration of multi-modal medical images but also enhances object detection and tracking—particularly crucial in the context of tumor detection. His goal is to continue advancing these techniques, exploring emerging technologies and methodologies, and collaborating with experts in the field to further contribute to the ever-evolving landscape of medical image analysis.

🌐 Professional Profiles

Educations: 📚🎓

He is currently engaged in a post-doctoral position at the AIDA Lab within the College of Computer and Information Sciences (CCIS) at Prince Sultan University in Saudi Arabia, a position he has held since March 2023. Prior to this, he earned his Ph.D. in Software Engineering from Beijing University of Technology, China, graduating in June 2022. His academic journey also includes achieving a Master of Science in Computer Science from the University of Lahore, Pakistan, in November 2015, as well as an MSc in Information Technology from the University of Education, Pakistan, completed in January 2012. He initiated his academic pursuits with a Bachelor of Computer Science degree from Allama Iqbal Open University, Pakistan, awarded in March 200X (please replace ‘convert into a para use he’ with the specific year). This educational background underscores his commitment to advancing knowledge in the fields of computer science and software engineering.

HONORS & AWARD 

He has achieved notable recognition and awards throughout his academic journey, particularly during his time at Beijing University of Technology (BJUT) in China.

From September 2018 to June 2022, he was honored with the prestigious Chinese Government Scholarship at BJUT, showcasing his academic excellence and contributions. Subsequently, he received the Outstanding Graduate of 2022 Award in June 2022, further highlighting his exceptional academic performance.

His commitment to science and technology innovation is evident through multiple accolades, including the Science & Technology Innovation Award in May 2022 and again in June 2021 at BJUT. Additionally, he received the Special Research Contribution Award in both November 2021 and November 2020, recognizing his outstanding contributions to research.

Beyond academics, he actively participated in cultural events, receiving recognition for his role as the responsible person of his country’s booth and performer on cultural international day at BJUT in April 2019. His achievements also extend to non-academic spheres, such as receiving the dormitory excellent performance award on December 27, 2019, and achieving the 9th position in the Annual Sports event at BJUT on April 24, 2019.

These accolades collectively demonstrate his well-rounded achievements, encompassing academic excellence, research contributions, and active participation in cultural and extracurricular activities during his tenure at BJUT.

 

ACADEMIC EXPERIENCE AND ADMINISTRATIVE POSITIONS 

He has a comprehensive and diverse employment history, showcasing his commitment to academia and his contributions to the field of computer science. Currently, he holds the position of Assistant Professor of Computer Science (Part-time) at Prince Sultan University in Riyadh, Saudi Arabia, starting from August 2023. Simultaneously, he serves as an Assistant Professor of Computer Science at the University of Education in Lahore, a role he has held since December 2022. Within this position, he has taken on additional responsibilities as the Coordinator of the Information Technology and Computer Science Department in Pakistan. This role involves overseeing the Information Sciences Department at the Vehari Campus, where he has designed and taught a variety of undergraduate and graduate courses, covering topics ranging from Object-Oriented Programming to Research Methodology.

His earlier experiences include serving as a Lecturer of Computer Science at the University of Education in Lahore from March 2012 to June 2018. During this time, he also took on a visiting lecturer role at the National College of Business Administration & Economics (NCBAE) in Lahore, Pakistan, from September 2015 to August 2018. In these positions, he designed and taught courses, facilitated weekly lectures, and provided guidance to students at various academic levels.

Additionally, he served as a Lecturer and Academic Coordinator (Part-time) at Global Institute in Lahore, Pakistan, from January 2012 to July 2017. In this capacity, he was involved in algorithm development for new projects, overseeing hardware and software systems, and leading project teams to deliver solutions on time and within budget.

Throughout his work history, he has demonstrated a commitment to student engagement, innovative teaching methodologies, and effective coordination of academic departments, showcasing his expertise and dedication in the field of computer science.

 

Membership

In his editorial services, he actively contributes to the academic community through program and technical committee roles, notably in the International Conference on Frontier Computing (FC 2023) – WiDs at Prince Sultan University and the Seventh International Women in Data Science (WiDS) Conference in 2024. He extends his expertise to reviewing articles for esteemed journals such as PloSONE, The Journal of Supercomputer, Evolutionary Intelligence, COMPSAC, Imaging Science, Knowledge and Information Systems, Scientific Reports, and Heliyon.

His commitment to professional development is evident through his participation in various workshops and courses. Notably, he attended the Workshop on “Medical Image Processing with Python” at Prince Sultan University in Riyadh, Saudi Arabia, in June 2023. Additionally, he engaged in workshops covering diverse topics such as “Material State Awareness Defect Imaging Sizing & Characterization” in Beijing University of Technology, Beijing, China, and “The World’s Development of Non-Destructive & Evaluation of Trend Field” at the same institution in March 2019.

Other workshops include “Graph Convolutional Neural Network,” “Next Generation Cybersecurity Analytic Platform Big Data,” “Measuring Software Quality, Software Improvement Group,” and several others, demonstrating his continuous pursuit of knowledge and skill enhancement. These experiences contribute to his well-rounded professional profile, showcasing a dedication to staying current with advancements in his field and actively participating in the broader academic community.

INVITED TALKS AND PRESENTATIONS

He has been actively engaged in sharing his research findings and insights through invited talks and paper presentations at various international conferences. Notably, he presented a paper on “Breast Mass Detection and Classification Using Deep Convolutional Neural Networks for Radiologist Diagnosis Assistance” at the Computers, Software & Applications International Conference 2021 in Madrid, Spain, from July 12-16, 2021.

In a similar vein, he shared his expertise in a paper presentation on “A Robust CNN Model for Handwritten Digits Recognition and Classification” at the International Conference on Advances in Electrical Engineering and Computer Applications 2020 in Dalian, China, held from August 25-27, 2020.

He has also been invited to deliver talks on his research, including a presentation on “A Robust CNN Model for Handwritten Digits Recognition and Classification” at SEECT 2020 in Tianjin, China, on June 14, 2020. Additionally, he presented an invited talk titled “State-of-the-Art CNN-based Optimizer for Breast Lesions Segmentation and Classification in Mammogram Images” at Beijing University of Technology, China, on July 15, 2020.

His contributions extend to paper presentations, such as “3D Shape Retrieval Using Bag of Word Approaches” at the International Conference on Computing, Mathematics, and Engineering Technologies in 2019, held at Sukkur IBA University from June 30-31. Furthermore, he attended the International Conference on Bioinformatics and Biomedical Science 2019 at Beijing University of Technology, China, from October 23-25, 2019.

These talks and presentations underscore his active participation in the global scientific community, disseminating knowledge and contributing to advancements in the field of computer science and medical image analysis.

RESEARCH PROJECT

He is actively engaged in innovative research and development initiatives, contributing to advancements in healthcare and education. His work on Breast Cancer Detection involves leveraging computer vision and deep learning models, implemented with PyTorch and TensorFlow, to recognize cancer from medical images. This initiative holds the potential to revolutionize early breast cancer diagnosis, enhancing treatment outcomes.

With the project “My Antenatal Monitoring Assistant (MAMA),” he addresses the global challenges in maternal and fetal healthcare. Recognizing the critical issues that arise during pregnancy, such as complications leading to adverse outcomes for both the mother and infant, he aims to mitigate these challenges by employing technological solutions. The focus is on improving maternal lifestyle and increasing awareness about pregnancies to reduce associated risks.

The Skin Cancer Detector project showcases his commitment to simplifying healthcare procedures. By developing software that can detect skin cancer from images using computer vision, he aims to eliminate the need for painful and time-consuming laboratory tests, ultimately reducing the associated costs.

His initiative “Capturing Human Action for Smart Vehicles” is directed towards improving road safety. By developing a system that tracks eye movements, head movements, and gestures within specific time frames, he envisions a solution that alerts drivers to potential hazards. This aligns with the broader goal of enhancing safety in smart vehicles.

In the realm of education, his project “CMS for Graduate Students” involves developing a web-based Content Management System to store and manage graduate data according to the standards set by the National Computing Education Accreditation Council (NCEAC) and the Higher Education Commission (HEC).

Finally, his work on “Smart Medical Imaging Diagnostic (SMID)” reflects the integration of Artificial Intelligence (AI) with deep learning (DL) and machine learning (ML) algorithms for medical imaging analysis and classification. This initiative contributes significantly to the evolution of smart diagnostic tools in medical imaging, showcasing his dedication to leveraging technology for healthcare advancements.

Through these diverse projects, he demonstrates a holistic approach to leveraging technology for the betterment of healthcare practices and educational management. His innovative solutions have the potential to make a meaningful impact on early disease detection, maternal health, road safety, and academic data management.

 📚Top Noted Publication

Zhang Yiwei- Network Science – Best Researcher Award

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Zhang Yiwei- Network Science

Dr. Zhang Yiwei  distinguished academic and researcher in the field Network Science. He is currently serving as an Assistant Professor in the Department of Mathematics at Southern University of Science and Technology. His primary research interests in pure mathematics revolve around the interplay of dynamical systems, ergodic theory, probability theory, and optimizations. His work delves into the statistical properties of dynamical systems, particularly those generated by iterations of maps exhibiting a certain level of hyperbolicity. Emphasizing probabilistic studies, he explores topics such as ergodic optimization and thermodynamics formalism problems associated with the invariant measures of these systems.

Beyond theoretical pursuits, he actively engages in the practical applications of his research, modeling dynamics in real-world systems such as data-driven dynamical systems in cell biology and neuroscience. With an impressive track record, he has authored 24 manuscripts in peer-reviewed journals, collaborated with distinguished mathematicians, and received prestigious awards, including the Chen Shengshen Prize of Mathematics from the Chinese Mathematical Society and the Marc Yor Prize from the French Academy of Sciences. Notably, in 2020, he and his collaborators successfully resolved a 20-year-long standing conjecture in ergodic optimization originally proposed by Professors G. Yuan and B. Hunt at the University of Maryland in 1999.

Professional Profiles:

Publication
• Jian Ding, Zhiqiang Li and Yiwei Zhang, On the prevalence of the periodicity of maximizing
measures, Accepted for publication in Advance in Mathematics, (2023).
• Xiaobo Hou, Xueting Tian, and Yiwei Zhang, Topological structures on saturated sets,
optimal orbits and equilibrium states, Discrete Contin. Dyn. Syst. Series A, (2023), no. 43,
771-806.
2 • Xiankun Ren, Wenda Zhang, Yiwei Zhang, Upper capacity entropy and packing entropy
of saturated sets for amenable group actions, Discrete Contin. Dyn. Syst. Series A, (2023)
no. 43, 2812-2834.
• Jianyu Chen, Hongkun Zhang, and Yiwei Zhang, On Coupling Lemma and Stochastic
Properties for One-dimensional Expanding Maps, J. Dyn Differ Equat. (2022).
• Stefano Galatalo, Mark Holland, Tomas Persson and Yiwei Zhang, Anomalous time-scaling
of extreme events in infinite systems and Birkhoff sums of infinite observables, Discrete
Contin. Dyn. Syst. Series A, 41(2021), no.4, 1799-1841.
• Lulu Fang, Hiroki Takahasi and Yiwei Zhang, Precise asymptotics on the Birkhoff sums
for dynamical systems, Nonlinearity, 34(2021), no. 10, 7095-7108.
• Charles Bordenave, Yanqi Qiu and Yiwei Zhang, Spectral gap of sparse bistochastic matrices with exchangeable rows, Annales de l’Institut Henri Poincar´e – Probabilit´es et
Statistiques, 56(2020), no. 4, 2971-2995;
• Qianying Xiao and Yiwei Zhang, On the computation of extended rescaled Poincar´e map
for singular vector fields, Dyn. Syst, 35(2020), no. 2, 259-274.
• Hongfei Cui, Lulu Fang, Yiwei Zhang, A note on the run length function for intermittent
maps, J. Math. Anal. Appl. 472(2019), no.1, 937-946.
• Jiaojiao Yang, Min Wu, and Yiwei Zhang, Quasi-Lipschitz mapping, correlation and local
dimensions, Chaos, Solitons & Fractals, 105(2017), 224-229.
• Junlin Li, Hongbo Fu, Ziying He and Yiwei Zhang, Strong approximation rate for Wiener
process by fast oscillating integrated Ornstein-Uhlenbeck processes, Chaos, Solitons & Fractals. 113(2018), 314-325.
• Byott Nigel P., Lin Congping and Yiwei Zhang. On the mixing properties of piecewise
expanding maps under composition with permutations II: Maps of non-constant orientation,
Stoch. Dyn. 16(2016), no. 3. 1660013
• Ana Rodrigues and Yiwei Zhang, Fair measure and fair entropy for non-Markov interval
maps, Stoch. Dyn. (2016), no. 16, 1750035.
• Bochi Jairo and Yiwei Zhang, Ergodic optimization of prevalent super-continuous functions, Int. Math. Res. Not. IMRN(2016), no. 19, 5988-6017.

Abdul Ahad- Network – Young Scientist Award

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Abdul Ahad- Network

Dr. Abdul Ahad  distinguished academic and researcher in the field Network. Throughout his academic and professional journey, he actively participated in various workshops to enhance his skills and contribute to the academic community. He attended a 1-Day Faculty/Quality Directions Training on “Outcome Based Education” organized by the Pakistan Engineering Council at UMT, Sialkot, Pakistan. Additionally, he engaged in a series of workshops at the same institution, including a hands-on training workshop on Outcome Based Education (OBE) facilitated by Dr. Abdul Ahad, as well as workshops on writing top-notch research papers, streamlining writing with Overleaf/LaTeX, and launching research journeys.

Dr. Abdul Ahad also conducted a workshop on “Unveiling the Causes of Delay in Attaining PhD and Master’s Degrees: Strategies and Solutions for Timely Completion” at Govt. Degree College, Kabal, Swat, Pakistan, addressing the concerns of students. Further expanding his reach, he conducted a workshop on “Empowering Your Academic Writing with Overleaf/LaTeX” at Taylor’s University of Malaysia. These experiences underscore his commitment to professional development and knowledge dissemination in the realms of education and research.

Education

He earned his Ph.D. in Computer Science from Sunway University, Malaysia, spanning the years 2018 to 2022. Prior to his doctoral studies, he completed a Master’s degree in Computer Science at the Virtual University of Pakistan from 2015 to 2017. Earlier in his academic journey, he obtained a Master of Science degree in Computer Science from Swat University of Pakistan between 2012 and 2014. Complementing his academic achievements, he also pursued professional development by earning a Bachelor’s of Education (Be.D.) from Allama Iqbal Open University, Islamabad, Pakistan, during the academic year 2013 to 2014. Additionally, he holds a Diploma in Information Technology (DIT) from the Board of Technical Education, Peshawar, Pakistan. This comprehensive educational background reflects his dedication to advancing his knowledge and expertise in the fields of Computer Science and Information Technology.

Professional Profiles:

Employment History

In his multifaceted employment history, he has showcased versatility and expertise in various roles. Currently serving as a Visiting Researcher at Istanbul Technical University, Turkey, he is actively engaged in cutting-edge projects. His focus includes energy-efficient routing in Heterogeneous 5G Wireless Sensor Networks using game theory and the development of a heart stroke detection system employing Fuzzy K-Nearest Neighbor and Artificial Neural Network with Chi-Square and Best First Search algorithms.

Prior to this, he served as a Data Processing Officer for the Government of Pakistan, Revenue Department, where he managed data, implemented information systems, ensured data security, and handled backup and recovery processes. Concurrently, he held the position of Visiting Lecturer and Research Assistant at The University of Buner, Pakistan, where he contributed to both teaching and research endeavors, overseeing undergraduate and graduate students. His prior experiences also encompassed roles as a Teaching Assistant at Sunway University, Malaysia, and as a Visiting Lecturer at Govt. PG. Jahanzeb College Swat, Pakistan.

Earlier in his career, he served as an O & A Level Teacher and Network Administrator at The City School Swat Campus, responsible for teaching, network design, and maintenance. He also worked as a Network Administrator at Maxtech Institute, Virtual University Campus Mingora, Swat, Pakistan, where he played a pivotal role in network design, implementation, and maintenance, emphasizing security protocols. This comprehensive narrative reflects his extensive and dynamic professional journey across academia, research, and technology-driven roles.

Member of Conferences
In his commitment to advancing research and fostering collaboration, he has actively participated in several prominent international conferences and academic networks. Serving as the Workshop Chair, Sessions Chair, and Reviewer for the IEEE Conference Turkey 2023: The 10th International Conference on Wireless Networks and Mobile Communications, he demonstrated his leadership and expertise in the field.
Additionally, he contributed to the EAI HealthyIoT Conference Portugal 2023 as a Technical Committee Member, Sessions Chair, and Reviewer, showcasing his involvement in IoT technologies for healthcare. Similarly, he played key roles in the EAI GOODTECHS Conference Portugal 2023, serving as a Technical Committee Member, Sessions Chair, and Reviewer, emphasizing smart objects and technologies for social good.
Further extending his influence, he assumed the responsibilities of Workshop Chair, Sessions Chair, and Reviewer at the IEEE Conference Saudi Arabia 2023: International Conference on Smart Computing and Application. In tandem with his conference engagements, he holds memberships in various European Cooperation in Science and Technology (COST) Actions, including CA22104 (Behavioral Next Generation in Wireless Networks for Cyber Security), CA20104 (Network on evidence-based physical activity in old age – PhysAgeNet), CA19121 (Network on Privacy-Aware Audio- and Video-Based Applications for Active and Assisted Living – GoodBrother), and CA19136 (International Interdisciplinary Network on Smart Healthy Age-friendly Environments – NET4AGE-FRIENDLY). Through his active involvement in these conferences and networks, he has significantly contributed to the advancement of knowledge and collaboration in his areas of expertise.
Areas of Interest
Research interests include 5G, 6G, Internet of Things, Smart Healthcare, Smart Cities, Wireless Networks, Wireless Body Area Networks (WBAN), Security and Privacy, Intelligent
Transportation and Artificial Intelligence.
Journal Reviewer
I regularly review many journals and conferences including Future Generation Computer
Systems, IEEE Access, IEEE Sensor, Computer Networks, Internet of Things (Elsevier), Connection Sciences, Peer J: Computer Sciences, International Journal of Distributed Sensor
Networks, Applied Sciences, MDPI Sensors, Array and others.
Research Publications
1 Ahad, A., Ali, Z., Mateen, A., Tahir, M., Hannan, A., Garcia, N. M., & Pires, I. M. (2023). A comprehensive
review on 5g-based smart healthcare network security: Taxonomy, issues, solutions and future research
directions. Array, 100290.
2 Butt, H. A., Ahad, A., Wasim, M., Shayea, I., Coelho, P. J., Pires, I. M., & Garcia, N. M. (2023). Federated
machine learning in 5g smart healthcare: A security perspective review. Procedia Computer Science, 224,
580–586.
3 Mateen, A., Wasim, M., Ahad, A., Ashfaq, T., Iqbal, M., & Ali, A. (2023). Smart energy management
system for minimizing electricity cost and peak to average ratio in residential areas with hybrid genetic
flower pollination algorithm. Alexandria Engineering Journal, 77, 593–611.
4 Mughees, A., Tahir, M., Sheikh, M. A., Amphawan, A., Meng, Y. K., Ahad, A., & Chamran, K. (2023).
Energy-efficient joint resource allocation in 5g hetnet using multi-agent parameterized deep
reinforcement learning. Physical Communication, 102206.
5 Noreen, R., Zafar, A., Waheed, T., Wasim, M., Ahad, A., Coelho, P. J., & Pires, I. M. (2023). Unraveling the
inner world of phd scholars with sentiment analysis for mental health prognosis. Behaviour &
Information Technology, 1–13.
6 Ahad, A., & Tahir, M. (2022). Perspective—6g and iot for intelligent healthcare: Challenges and future
research directions. ECS Sensors Plus.
8 Ahad, A., Tahir, M., Sheikh, M. A., Ahmed, K. I., & Mughees, A. (2021). An intelligent clustering-based
routing protocol (crp-gr) for 5g-based smart healthcare using game theory and reinforcement learning.
Applied Sciences, 11(21), 9993.
9 Istiaque Ahmed, K., Tahir, M., Hadi Habaebi, M., Lun Lau, S., & Ahad, A. (2021). Machine learning for
authentication and authorization in iot: Taxonomy, challenges and future research direction. Sensors,
21(15), 5122.
10 Mughees, A., Tahir, M., Sheikh, M. A., & Ahad, A. (2021b). Energy-efficient ultra-dense 5g networks:
Recent advances, taxonomy and future research directions. IEEE Access.
11 Ahad, A., Tahir, M., Aman Sheikh, M., Ahmed, K. I., Mughees, A., & Numani, A. (2020). Technologies
trend towards 5g network for smart health-care using iot: A review. Sensors, 20(14), 4047.
12 Mughees, A., Tahir, M., Sheikh, M. A., & Ahad, A. (2020). Towards energy efficient 5g networks using
machine learning: Taxonomy, research challenges, and future research directions. IEEE Access, 8,
187498–187522.
13 Tahir, M., Habaebi, M. H., Dabbagh, M., Mughees, A., Ahad, A., & Ahmed, K. I. (2020). A review on
application of blockchain in 5g and beyond networks: Taxonomy, field-trials, challenges and
opportunities. IEEE Access, 8, 115876–115904.
14 Ahad, A., Tahir, M., & Yau, K.-L. A. (2019). 5g-based smart healthcare network: Architecture, taxonomy,
challenges and future research directions. IEEE access, 7, 100747–100762.
15 Ahad, A., Al Faisal, S., Ali, F., Jan, B., Ullah, N. et al. (2017). Design and performance analysis of dss (dual
sink based scheme) protocol for wbasns. Advances in Remote Sensing, 6(04), 245.
16 Ahad, A., Tariq, L., Niaz, S., & Inam, M. (2017). Design of secure and traceable requirement engineering
process for security-sensitive projects. Journal of Software Engineering and Applications, 10(12), 873–883.
17 Ahad, A., Ullah, Z., Amin, B., & Ahmad, A. (2017). Comparison of energy efficient routing protocols in
wireless sensor network. Am. J. Netw. Commun, 6, 67–73.

Zubaida Rehman- IoT security – Best Researcher Award

Posted on by usudeeparya

Zubaida Rehman- IoT security

Dr.   Zubaida  Rehman distinguished academic and researcher in the field IoT security. The focal point of her research was to enhance energy production while minimizing wake effects, a challenge that she addressed effectively through the application of Genetic Algorithms. This comprehensive study not only deepened her understanding of cutting-edge technologies in the field but also contributed to the ongoing discourse surrounding sustainable energy solutions.

Education

From 2012 to 2015, she pursued her Master of Computer Science at the National University of Computer and Emerging Sciences in Islamabad, Pakistan. Throughout this academic journey, she specialized in various domains such as Computational Intelligence, Advanced Databases, Cloud Computing, and Evolutionary Computation. The culmination of her academic endeavors was manifested in her research thesis, where she delved into the intricate realm of the Wind Turbine Layout Optimization Problem. Employing the innovative approach of Genetic Algorithms, she endeavored to optimize the layout design by incorporating diverse turbine sizes.

Professional Profiles:

Research Interest
With a diverse set of technical skills and a keen interest in cutting-edge research, she has a strong foundation in data science, encompassing data analysis and business analytics. Her expertise extends to areas such as cybersecurity, Internet of Things (IoT), and machine learning. Adept in computational intelligence, she excels in addressing real-world optimization problems with a focus on cost-effective and efficient analyses. Her proficiency in big data management within cloud environments is demonstrated through her work on effective scheduling for incoming data stream processing.
Work Experience
Her professional journey includes roles as a Software Engineer at KN Technologies Islamabad (Part Time) from January 2016 to December 2016, where she contributed to projects developed in C, C#, and PHP, demonstrating her skills in project planning and execution. As a Software Developer at Technology Architect Islamabad from January 2014 to December 2015, she engaged in the design and testing of ongoing projects, particularly focusing on Infinite-Space Shortest Path Problems and Semicontractive Dynamic Programming.
In the academic realm, she has made notable contributions with research papers published in renowned conferences such as IEEE Conference on Cloud Computing and Big Data Analysis 2016. Her survey paper on “Survey on Branch Prediction Techniques” was published in RJIIT 2017. She has further showcased her research acumen through term papers and reviews, including topics like the automatic design of multi-objective ant colony optimization algorithms, emerging trends in cloud computing, imperfect distributed learning in traffic light control, and a survey paper on the Rapid Multi-Agent Development Toolkit. Through her extensive academic and professional background, she continues to be a valuable asset in the intersection of technology, research, and software development.
Publication