Shereen Ismail | IoT Applications | Best Researcher Award

Ms. Shereen Ismail, IoT Applications, Best Researcher Award

Shereen Ismail at University of North Dakota, United States

Ms. Shereen Ismail is a highly qualified professional with a Master’s Degree (MSc.) in Computer Engineering and Networks from the University Of Jordan, Jordan, and a Bachelor’s Degree (BSc.) in Computer Engineering from the same university. She has a strong academic background with a focus on wireless sensor networks and computer engineering. Shereen has extensive teaching experience in various computer science and engineering subjects and has also worked as a Lab Supervisor and Technical Support Engineer. She holds several certifications related to computer systems and network management, showcasing her expertise in the field. Shereen is fluent in both Arabic (native) and English (fluent) languages.

Profile:

Education:

Master’s Degree (MSc.) in Computer Engineering and Networks

  • Institution: University Of Jordan, Jordan
  • Year: 2012
  • GPA: 3.36 out of 4.00
  • Thesis Title: “Efficient Techniques For Mobile Target Tracking In Wireless Sensor Networks”

Bachelor’s Degree (BSc.) in Computer Engineering

  • Institution: University Of Jordan, Jordan
  • Year: 2005
  • GPA: 3.32 out of 4.00
  • Graduation Project Title: “Performance Evaluation Of University Of Jordan Network”
Professional Experience:

Instructor and Lecturer: At the American University of Ras Al Khaimah in the UAE, Ms. Ismail has been an Instructor for courses like C++ programming, Computer Architecture, Embedded Systems, Digital Logic Design, Electrical Circuits, Microprocessors, and MATLAB laboratories. She also taught Computer Networks, Electrical Circuits, Programming using C++, Operating Systems, Communication Systems, and Numerical Methods at Al-Zaytoonah Private University in Jordan.

Lab Supervisor: During her tenure at the Applied Science University in Jordan, Ms. Ismail served as a Lab Supervisor, overseeing activities related to Electrical Circuits, Digital Electronics, Digital Logic Design, Computer Networks, Microprocessor, and Assembly Language labs.

Technical Support Engineer: Ms. Ismail gained hands-on experience as a Technical Support Engineer during her training at the Royal Scientific Society in Jordan, where she focused on computer maintenance and network troubleshooting.

Coordinator and Representative: Demonstrating her leadership skills, Ms. Ismail took on roles such as Institutional Effectiveness (IE) Coordinator for the School of Engineering at the American University of Ras Al Khaimah and Instructors Representative in the Faculty Senate, where she contributed to organizational and academic initiatives.

Research Interest:

Wireless Sensor Networks (WSNs): Investigating efficient techniques and protocols for mobile target tracking and data transmission in WSNs, with a focus on enhancing network performance, energy efficiency, and reliability.

Internet of Things (IoT) Security: Exploring IoT security challenges and solutions, including secure communication protocols, data encryption, access control mechanisms, and anomaly detection in IoT networks.

Computer Networks: Researching advanced concepts in computer networks such as network protocols, routing algorithms, network management, and quality of service (QoS) optimization for enhanced network performance and reliability.

Embedded Systems Design: Studying design methodologies for embedded systems, including hardware-software co-design, real-time operating systems (RTOS), low-power design techniques, and applications in IoT and robotics.

Digital Signal Processing (DSP): Investigating DSP algorithms and techniques for signal analysis, filtering, and processing in applications such as image processing, audio processing, and communication systems.

Machine Learning and Artificial Intelligence (AI): Exploring AI and machine learning models for data analysis, pattern recognition, and predictive analytics, with applications in computer vision, natural language processing (NLP), and data-driven decision-making.

Publication Top Noted:

Performance evaluation of selective and adaptive heads clustering algorithms over wireless sensor networks

  • Authors: KA Darabkh, SS Ismail, M Al-Shurman, IF Jafar, E Alkhader, …
  • Journal: Journal of Network and Computer Applications
  • Volume: 35
  • Issue: 6
  • Pages: 2068-2080
  • Cited by: 92
  • Year: 2012

Dynamic selection techniques for detecting GPS spoofing attacks on UAVs

  • Authors: T Talaei Khoei, S Ismail, N Kaabouch
  • Journal: Sensors
  • Volume: 22
  • Issue: 2
  • Pages: 662
  • Cited by: 48
  • Year: 2022

Static clustering for target tracking in wireless sensor networks

  • Authors: SS Ismail, AI Al Khader, KA Darabkh
  • Journal: Global Journal on Technology (Selected Paper of COMENG-2014)
  • Volume: 8
  • Pages: 167-173
  • Cited by: 29
  • Year: 2015

A comparative study of machine learning models for cyber-attacks detection in wireless sensor networks

  • Authors: S Ismail, TT Khoei, R Marsh, N Kaabouch
  • Conference: 2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile …
  • Pages: 23
  • Cited by: 23
  • Year: 2021

Evaluation of naïve Bayesian algorithms for cyber-attacks detection in wireless sensor networks

  • Authors: S Ismail, H Reza
  • Conference: 2022 IEEE World AI IoT Congress (AIIoT)
  • Pages: 283-289
  • Cited by: 21
  • Year: 2022

Guangcai Gong | Resource Conservation | Best Researcher Award

Prof. Guangcai Gong, Resource Conservation, Best Researcher Award

Professor at Hunan University, China

Professor Guangcai Gong is an esteemed academic and researcher specializing in Environmental Science and Engineering. He currently holds the position of Professor in the Department of Environmental Science and Engineering at Hunan University, where he has been actively involved in research and teaching since 1996. Throughout his career, Professor Gong has also held various international roles, including Visiting Professorships at Hopkins University, USA, and McGill University, Canada. He has a strong focus on building energy conservation, environment simulation, and control, contributing significantly to sustainable building practices and environmental engineering.

Profile:

Professional Experience:

Professor Guangcai Gong brings a wealth of expertise and experience to the field of Environmental Science and Engineering. Since 1996, he has served as a dedicated Professor in the Department of Environmental Science and Engineering at Hunan University. His contributions extend beyond academia, with international engagements including a Visiting Professorship at Hopkins University, USA, in 2013, and roles as a Visiting Scholar and Professor at McGill University, Canada, from 2004 to 2005. He also spent time as a Visiting Scholar at the University of Hong Kong in 2002. Prior to these roles, Professor Gong honed his research skills as a Postdoctoral Research Fellow at the Postdoctoral Research Station of Metallurgy, Central South University, from 1997 to 1999. Throughout his professional journey, he has been deeply involved in research, teaching, and collaborations, focusing particularly on building energy conservation, environment simulation, and control, thus contributing significantly to advancements in sustainable building practices and environmental engineering.

Research Interest:

Building Energy Conservation: Investigating advanced techniques and technologies to reduce energy consumption in buildings while maintaining optimal performance and occupant comfort.

Environment Simulation and Modeling: Utilizing computational models and simulations to analyze environmental processes, predict outcomes, and optimize design strategies for sustainable built environments.

Building Environment Control Systems: Developing innovative control systems to regulate indoor environmental factors such as temperature, humidity, and air quality, with an emphasis on energy efficiency and occupant well-being.

Sustainable Building Practices: Researching sustainable building materials, construction methods, and design principles to minimize environmental impact and promote eco-friendly building practices.

Renewable Energy Integration: Exploring the integration of renewable energy sources like solar, wind, and geothermal energy into building systems to reduce reliance on fossil fuels and mitigate greenhouse gas emissions.

Urban Environmental Quality: Studying strategies to improve urban environmental quality, including green infrastructure development, urban heat island mitigation, and pollution control measures.

Climate Change Adaptation: Investigating adaptation strategies for buildings and infrastructure in response to climate change challenges such as rising temperatures, extreme weather events, and sea-level rise.

Honors And Awards:

Second Prize of Science and Technology Progress of Hunan Province: This award recognizes significant contributions to science and technology advancement within Hunan Province. Professor Gong likely received this award for his research and innovations in environmental science and engineering.

Second Prize of China Machinery Industry Science and Technology Award: This national-level award is given to individuals or organizations for outstanding achievements in machinery industry science and technology. Professor Gong’s contributions to environmental engineering may have earned him this prestigious recognition.

Third Prize of Teaching Achievement of Hunan University: This award acknowledges excellence in teaching practices and achievements at Hunan University. Professor Gong’s dedication to teaching and mentoring students likely contributed to this recognition.

Excellent Teaching Quality Award of Hunan University: This award further highlights Professor Gong’s commitment to delivering high-quality education and fostering a positive learning environment.

The first “Tianyu” Teacher Award of Hunan University: This award is a testament to Professor Gong’s exceptional teaching skills and positive impact on students’ academic and personal development.

Baosteel Excellent Teacher Award: Unfortunately, I don’t have specific details about this award. If you have more information about the Baosteel Excellent Teacher Award, such as the criteria for selection or any other relevant details, please provide them, and I’ll be happy to include them in the biography.

Publication Top Noted:

New rationale for the effect of multiple buoyancies and their influence on the propagation of respiratory pollutants

  • Authors: Deng, X., Gong, G., He, X., Huang, Y., Chen, X.
  • Journal: Physics of Fluids
  • Year: 2024
  • Volume: 36
  • Issue: 1
  • Pages: 015116

A real options-based decision-making model analysis for climate change mitigation strategies on buildings

  • Authors: Li, W., Gong, G., Jia, H., Ren, Z., Chong, A.
  • Journal: Journal of Cleaner Production
  • Year: 2023
  • Volume: 429
  • Pages: 139524

Investigation on indoor airflow and contaminant dispersion of diffuse ceiling ventilation in heating and cooling modes

  • Authors: Peng, P., Zhang, C., Li, W., Chun, L., Guo, R.
  • Journal: Journal of Building Engineering
  • Year: 2023
  • Volume: 80
  • Pages: 107972
  • Citations: 3

Thermodynamic study on the effect of foaming on the heat and moisture control ability of humidity control material

  • Authors: Shi, X., Gong, G., Wu, Y., Fang, X., Wang, H.
  • Journal: Applied Thermal Engineering
  • Year: 2023
  • Volume: 234
  • Pages: 121323