Ali Shahidinejad | Key Exchange Protocols | Best Researcher Award

Dr. Ali Shahidinejad, Key Exchange Protocols, Best Researcher Award

Doctorate at Deakin University, Australia

Dr. Ali Shahidinejad is an accomplished researcher and educator in Information Technology and Computer Science. With a Ph.D. in Computer Science from the University Technology Malaysia and ongoing doctoral research at Deakin University on Blockchain-assisted Authentication Protocols for IoT, he specializes in optimizing communication systems and ensuring secure authentication mechanisms. His academic journey includes a Master’s degree in Computer Engineering from the Islamic Azad University of Arak, focusing on fuzzy controllers for internal combustion engines, and a Bachelor’s degree in Computer Engineering from the Islamic Azad University of Kashan, with a specialization in hardware. Dr. Shahidinejad’s expertise spans teaching, research, and industry engagement, covering computer science, network security, system programming, and more. He has taught at institutions such as Deakin University, Global College of Engineering and Technology (Muscat, Oman), and Islamic Azad University of Qom (Iran).

Profile:

Education:

PhD Candidate in Information Technology

  • Institution: Deakin University, Burwood, VIC 3125, Australia
  • Duration: February 2022 to February 2025
  • Research Area: Blockchain-assisted Authentication Protocols for IoT
  • Principal Supervisor: Prof Jemal Abawajy

Doctor of Philosophy (Computer Science)

  • Institution: University Technology Malaysia, Johor
  • Duration: February 2011 to May 2015
  • Thesis Title: Optimizing Wavelength Division Multiplexing-based Optical Wireless Communication Signalling System

Master of Science (Computer Engineering, Architecture of computer systems)

  • Institution: Islamic Azad University of Arak, Arak
  • Duration: September 2007 to September 2010
  • Thesis Title: Designing an Air/Fuel Ratio Fuzzy Controller for Internal Combustion Engines
  • Grade: 18.14 out of 20

Bachelor of Science (Computer Engineering, Hardware)

  • Institution: Islamic Azad University of Kashan, Kashan
  • Duration: September 2003 to July 2007
  • Grade: 16.90 out of 20
Professional Experience:

Dr. Ali Shahidinejad brings a wealth of professional experience to the realm of Information Technology and Computer Science. As a Lecturer, Tutor, and Marker at Deakin University in Australia, he imparts knowledge in specialized areas like Malware Analysis, Cyber Security Management, Advanced Network Security, and Secure Coding. His role as a Research Assistant at Deakin University involves active participation in multiple research projects, showcasing his dedication to cutting-edge research in the field. Prior to his tenure at Deakin, Dr. Shahidinejad served as a Lecturer at the Global College of Engineering and Technology in Muscat, Oman, where he taught comprehensive courses covering Computer and Network Systems, including Computer Architecture, Computer Networks, Operating Systems, and Network Security. His teaching portfolio extends further back to his time at the Islamic Azad University of Qom in Iran, where he delivered courses ranging from Network Security and Computer Networks to Microprocessor, Operating Systems, and System Programming. Through these roles, Dr. Shahidinejad has not only demonstrated his proficiency in teaching a diverse array of subjects but has also showcased his commitment to academic excellence and research-driven learning. His professional journey underscores his expertise in cybersecurity, communication protocols, blockchain technologies, and machine learning, making him a versatile and invaluable asset to the academic and research community.

Research Interest:

Dr. Ali Shahidinejad’s research interests span several key areas within Information Technology and Computer Science. His primary focus revolves around Blockchain-assisted Authentication Protocols for IoT, aiming to develop secure and efficient authentication mechanisms tailored specifically for the Internet of Things (IoT) paradigm. This research is crucial in addressing the security vulnerabilities inherent in interconnected IoT devices, ensuring robust protection against unauthorized access and data breaches. Additionally, Dr. Shahidinejad is deeply interested in communication protocols optimization, particularly in the context of wavelength division multiplexing-based optical wireless communication signaling systems. His research aims to enhance the performance, reliability, and scalability of communication systems, facilitating seamless data transmission across diverse networks. Moreover, his research endeavors extend to cybersecurity, covering areas such as malware analysis, secure coding practices, and network security protocols. By exploring innovative approaches in these domains, Dr. Shahidinejad aims to bolster cyber defense mechanisms, mitigate potential vulnerabilities, and safeguard critical information assets. Overall, Dr. Shahidinejad’s diverse research interests reflect a multidisciplinary approach to addressing contemporary challenges in Information Technology, emphasizing the integration of cutting-edge technologies to ensure secure, efficient, and resilient IT infrastructures.

Publication Top Noted:

A Survey on the Computation Offloading Approaches in Mobile Edge Computing: A Machine Learning-based Perspective

  • Authors: A Shakarami, M Ghobaei-Arani, AliShahidinejad
  • Journal: Computer Networks
  • Citations: 258
  • Year: 2020

Resource provisioning using workload clustering in cloud computing environment: a hybrid approach

  • Authors: A Shahidinejad, M Ghobaei-Arani, M Masdari
  • Journal: Cluster Computing
  • Pages: 1-24
  • Citations: 113
  • Year: 2020

An autonomous computation offloading strategy in Mobile Edge Computing: A deep learning-based hybrid approach

  • Authors: A Shakarami, A Shahidinejad, M Ghobaei-Arani
  • Journal: Journal of Network and Computer Applications
  • Pages: 102974
  • Citations: 111
  • Year: 2021

Resource Provisioning for IoT Services in the Fog Computing Environment: An Autonomic Approach

  • Authors: M Etemadi, M Ghobaei-Arani, A Shahidinejad
  • Journal: Computer Communications
  • Citations: 103
  • Year: 2020

A review on the computation offloading approaches in mobile edge computing: A game‐theoretic perspective

  • Authors: A Shakarami, A Shahidinejad, M Ghobaei‐Arani
  • Journal: Software: Practice and Experience
  • Citations: 89
  • Year: 2020

Mohamed Benghanem | Photovoltaic Systems | Best Researcher Award

Prof. Mohamed Benghanem, Photovoltaic Systems, Best Researcher Award

Professor at Islamic University of Madinah, Faculty of Science, Saudi Arabia

Prof. Mohamed Benghanem holds a Doctorate (PhD) in Instrumentation from the University of Science and Technologies (USTHB) in Algiers, Algeria, and the University Polytechnic of Madrid (UPM), Spain, completed in 2000. He also earned a Master’s degree (MsC) in Instrumentation from USTHB in 1991 and a Bachelor’s degree (BsC) in Electronics from the National Polytechnic School of Algiers in 1987. Prof. Benghanem has extensive teaching experience in physics, electronics, instrumentation, and sustainable energy, using software tools like Mathematica and Matlab. His research interests include mathematical physics, event-triggered control, renewable energy, and instrumentation. He has held various academic positions, including lecturer, assistant professor, associate professor, and professor, contributing significantly to his field through teaching and research.

Profile:

Education:

  • Doctorate (PhD) in Instrumentation from the University of Science and Technologies (USTHB), Faculty of Electronics, Algiers, Algeria, and University Polytechnic of Madrid (UPM), Spain (2000).
  • Master’s degree (MsC) in Instrumentation from the University of Science and Technologies (USTHB), Faculty of Electronics, Algiers, Algeria (1991).
  • Bachelor’s degree (BsC) in Electronics from the National Polytechnic School of Algiers, Algeria (1987).
Professional Experience:

Islamic University, Madinah, Saudi Arabia (2017-2024): Served as a Professor in the Physics Department, contributing to the university’s academic and research endeavors. His role involved teaching, research supervision, and academic leadership.

Taibah University, Madinah, Saudi Arabia (2012-2017): Held the position of Professor in the Physics Department, where he made significant contributions to teaching undergraduate and postgraduate courses, mentoring students, and conducting research.

Taibah University, Madinah, Saudi Arabia (2004-2012): Started as an Associate Professor, actively involved in teaching courses such as measurement and instrumentation, electronic circuits, and electricity and magnetism. He also played a role in curriculum development and academic administration.

University of Science and Technologies (USTHB), Algiers, Algeria (1991-2000): Began his academic career as a Lecturer and later became an Assistant Professor. He taught a wide range of subjects related to electrical and electronics measurement, digital electronics, microprocessors, and micro-controller systems.

Research Interest:

Prof. Mohamed Benghanem’s research interests encompass a broad spectrum of topics within the realm of physics and electronics. He is particularly interested in mathematical physics, delving into complex equations and theoretical frameworks that govern physical phenomena. His work in electronics spans from fundamental principles to advanced topics like instrumentation, measurement, and digital electronics. Moreover, he has a keen focus on sustainable and renewable energy, exploring innovative ways to harness and utilize energy resources efficiently. Additionally, Prof. Benghanem’s expertise extends to optimal control systems, electricity and magnetism, and the integration of computational tools like Mathematica and Matlab in physics research, showcasing a multidisciplinary approach to his academic pursuits.

Publication Top Noted:

Optimization of tilt angle for solar panel: Case study for Madinah, Saudi Arabia

  • Author: M Benghanem
  • Journal: Applied Energy
  • Volume: 88
  • Issue: 4
  • Pages: 1427-1433
  • Year: 2011
  • Citations: 515

An adaptive wavelet-network model for forecasting daily total solar-radiation

  • Authors: A Mellit, M Benghanem, SA Kalogirou
  • Journal: Applied Energy
  • Volume: 83
  • Issue: 7
  • Pages: 705-722
  • Year: 2006
  • Citations: 337

ANN-based modelling and estimation of daily global solar radiation data: A case study

  • Authors: M Benghanem, A Mellit, SN Alamri
  • Journal: Energy Conversion and Management
  • Volume: 50
  • Issue: 7
  • Pages: 1644-1655
  • Year: 2009
  • Citations: 330

Modeling and simulation of a stand-alone photovoltaic system using an adaptive artificial neural network: Proposition for a new sizing procedure

  • Authors: A Mellit, M Benghanem, SA Kalogirou
  • Journal: Renewable Energy
  • Volume: 32
  • Issue: 2
  • Pages: 285-313
  • Year: 2007
  • Citations: 296

Loss-of-load probability of photovoltaic water pumping systems

  • Authors: AH Arab, F Chenlo, M Benghanem
  • Journal: Solar Energy
  • Volume: 76
  • Issue: 6
  • Pages: 713-723
  • Year: 2004
  • Citations: 245

Fatima Ammari | Catalysis Biomass Nanomaterials | Best Researcher Award

Prof. Fatima Ammari, Catalysis Biomass Nanomaterials, Best Researcher Award

Professor at  Université Ferhat ABBAS Sétif 1, Algeria

Prof. Fatima Ammari is a highly accomplished academic with expertise in Chemistry and Catalysis. She obtained her Ph.D. in Chemistry (Catalysis) from Louis Pasteur University of Strasbourg, France, where she conducted research on selective hydrogenation of crotonaldehyde on catalysts based on platinum or palladium supported on zinc oxide or zinc chloride. Her professional journey includes significant contributions to research and teaching, with positions ranging from Senior Lecturer to Professor at the Department of Chemical Process Engineering, Ferhat-Abbas Sétif-1 University, Algeria. Prof. Ammari has also been involved in postdoctoral research projects focusing on automotive depollution, diesel soot oxidation, and hydrocarbon combustion at low temperatures on gold-based catalysts. Her work is well-recognized, with a substantial number of citations and a notable h-index, reflecting her impact in the field of catalysis and chemistry.

Profile:

Education:

  • Ph.D. in Chemistry (Catalysis) – Louis Pasteur University of Strasbourg, France (1999-2002)
  • Title: “Selective hydrogenation of crotonaldehyde on catalysts based on platinum or palladium supported on zinc oxide or zinc chloride supported on: reactivity-structure correlation”
  • Supervisor: Dr. Raymonde Touroude
  • DEA in Transition Metals and Molecular Engineering – Louis Pasteur University, Strasbourg 1, France (1999)
  • Chemical Engineering Degree – Ferhat-Abbas Sétif University, Algeria (1998)
  • Winner of the national contest in Chemical Engineering and received a 4-year scholarship in France
Professional Experience:

Prof. Fatima Ammari brings a wealth of expertise and experience to the field of chemical process engineering and catalysis. Her career spans various roles, starting from her tenure as a Lecturer and progressing to a Senior Lecturer and ultimately assuming the position of Professor at the Department of Chemical Process Engineering, Ferhat-Abbas Sétif-1 University, Algeria, a role she has held since July 2018. Prior to her professorship, she served as a Postdoctoral Researcher in prestigious European research projects focused on topics such as diesel soot oxidation and automotive depollution, further enhancing her knowledge and skills in these critical areas. Her extensive contributions to academia and research underscore her commitment to advancing the understanding and application of chemical processes and environmental sustainability.

Research Interest:

Prof. Fatima Ammari’s research interests revolve around catalysis and chemistry, particularly in the context of environmental applications and automotive depollution. She has a strong background in selective hydrogenation processes, catalyst development using platinum or palladium supported on zinc oxide or zinc chloride, and the correlation between catalyst reactivity and structure. Her work also extends to transition metals and molecular engineering. Additionally, she has experience in diesel soot oxidation mechanisms and low-temperature hydrocarbon combustion on gold-based catalysts. Her research aims to contribute to the development of efficient and sustainable catalytic processes for environmental protection and automotive emission control, aligning with her teaching and professional experiences in chemical process engineering.

Publication Top Noted:

Glucose dehydration reaction over metal halides supported on activated charcoal catalysts

  • Authors: Martin, G.D., Lara, B., Bounoukta, C.E., …, Ivanova, S., Centeno, M.Á.
  • Journal: Catalysis Today
  • Volume: 423
  • Pages: 114012
  • Year: 2023
  • Citations: 1

Fabrication of graphene nanoplatelets/MgAl-layered double hydroxide nanocomposites as efficient support for gold nanoparticles and their catalytic performance in 4-nitrophenol reduction

  • Authors: Banou, M., Niu, Y., Ammari, F., …, Palmer, R.E., Tizaoui, C.
  • Journal: Process Safety and Environmental Protection
  • Volume: 174
  • Pages: 891–900
  • Year: 2023
  • Citations: 5

Functionalized Biochars as Supports for Ru/C Catalysts: Tunable and Efficient Materials for γ-Valerolactone Production

  • Authors: Bounoukta, C.E., Megías-Sayago, C., Navarro, J.C., …, Centeno, M.Á., Odriozola, J.A.
  • Journal: Nanomaterials
  • Volume: 13
  • Issue: 6
  • Pages: 1129
  • Year: 2023
  • Citations: 2

Selective hydrodeoxygenation of levulinic acid to γ-valerolactone over Ru supported on functionalized carbon nanofibers

  • Authors: Bounoukta, C.E., Megías-Sayago, C., Rendón, N., …, Centeno, M.I., Odriozola, J.A.
  • Journal: Sustainable Energy and Fuels
  • Volume: 7
  • Issue: 3
  • Pages: 857–867
  • Year: 2023
  • Citations: 2

Pursuing efficient systems for glucose transformation to levulinic acid: Homogeneous vs. heterogeneous catalysts and the effect of their co-action

  • Authors: Bounoukta, C.E., Megías-Sayago, C., Ivanova, S., …, Centeno, M.A., Odriozola, J.A.
  • Journal: Fuel
  • Volume: 318
  • Pages: 123712
  • Year: 2022
  • Citations: 9

Masoud Rabieian | Environmental Engineering | Young Scientist Award

Mr. Masoud Rabieian, Environmental Engineering, Young Scientist Award

Masoud Rabieian at Babol Noshirvani Uneversity of Technology, Iran

Masoud Rabieian is a Ph.D. student at Babol Noshirvani University of Technology (BNTU) in the Department of Civil and Environmental Engineering. He completed his master’s degree in Environmental Engineering at BNUT in 2019. His research focuses on wastewater treatment and soil remediation, particularly using advanced oxidation processes for contaminant degradation.

Profile:

Education:

Mr. Masoud Rabieian is currently pursuing a Ph.D. at Babol Noshirvani University of Technology (BNTU) in the Department of Civil and Environmental Engineering. He obtained his master’s degree in Environmental Engineering from BNUT in 2019.

Professional Experience:

Masoud Rabieian has a strong professional background in environmental engineering and research. He is currently a PhD student at Babol Noshirvani University of Technology (BNTU), specializing in civil and environmental engineering. His experience includes conducting research on wastewater treatment and soil remediation, with a focus on advanced oxidation processes (AOPs) for contaminant degradation. He has published several papers in reputable journals like Water Research and Environment, Development and Sustainability, showcasing his expertise in modeling and optimizing remediation processes. His work also extends to exploring innovative methods for water treatment, such as non-thermal plasma methods and hybrid photocatalytic-ozonation processes. Through his contributions to academia and research conferences, Mr. Rabieian has demonstrated a commitment to advancing environmental engineering practices and sustainability initiatives.

Research Interest:

Masoud Rabieian has extensive research experience in the field of environmental engineering, focusing on wastewater treatment and soil remediation. His research primarily revolves around the application of advanced oxidation processes (AOPs) for contaminant degradation, particularly targeting pollutants like polycyclic aromatic hydrocarbons (PAHs). He has worked on innovative techniques such as integrating soil washing with advanced oxidation processes in continuous systems to optimize water usage and scale up modeling. Additionally, Mr. Rabieian has contributed significantly to the development of mathematical models for leakage detection and localization in water distribution systems. His research also encompasses the optimization of hybrid photocatalytic-ozonation processes for offshore produced water treatment, showcasing a multidisciplinary approach to environmental challenges. Through his research endeavors, Mr. Rabieian has demonstrated a commitment to addressing critical environmental issues and advancing sustainable solutions in engineering.

Publication Top Noted:

Simultaneously removal of PAHs from contaminated soil and effluent by integrating soil washing and advanced oxidation processes in a continuous system: Water saving …

  • Authors: M Rabieian, M Taghavijeloudar
  • Journal: Water Research
  • Year: 2024
  • Cited By: 121563

Development of a novel mathematical model for leakage detection and localization in the water distribution system: based on the modification of the hydraulic model

  • Authors: M Rabieian, F Qaderi
  • Journal: International Journal of Environmental Science and Technology
  • Year: 2024
  • Cited By: 1

Optimizing Hybrid Photocatalytic-ozonation for Offshore Produced Water Treatment

  • Authors: M Rabieian, F Qaderi
  • Journal: Journal of Mining and Environment
  • Year: 2024
  • Volume: 15
  • Issue: 1
  • Pages: 239-259

Modeling and optimization of PAHs contaminated soil remediation using green solvent in a continuous flow by response surface methodology

  • Authors: M Rabieian, F Qaderi
  • Journal: Environment, Development and Sustainability
  • Year: 2023
  • Cited By: 3

Zineddine Kouahla | BigData | Best Researcher Award

Prof. Zineddine Kouahla, BigData, Best Researcher Award

Professor at University of Guelma, Algeria

Prof. Zineddine Kouahla is a prominent academic and researcher specializing in computer science and Information Systems (IS). He holds a Doctorate in Informatique from the Université de Nantes, France, with a focus on Système d’Information (SI). With a Master’s degree in Image, Informatique et Ingénierie (3I) from the Université de Bourgogne, France, and an Ingénieur d’État En Informatique from Université 08 mai 1945 Guelma, Algeria, specializing in Intelligence Artificiel (IA), Prof. Kouahla has a strong educational background. His professional journey includes roles as a Contractual Teacher at several universities in France and Algeria, such as Université de Toulon du Var, Université de Jean Monnet St Etienne, and École polytechnique de l’Université de Nantes. Currently, he serves as an Enseignant titulaire, Maitre de Conférences Classe A in Informatique at the Université de Guelma. Prof. Kouahla’s research interests encompass data indexing, query processing, IoT systems, and cloud computing. In addition to his teaching and research activities, Prof. Kouahla has taken on administrative responsibilities as the Chef de département d’informatique at Université 08 Mai 1945 Guelma since 2016. His contributions to academia, coupled with his expertise in computer science, reflect his commitment to advancing knowledge and innovation in the field.

Profile:

Education:

Université d’Université Badji Mokhtar-Annaba – Algérie:

  • Habilitation universitaire en Informatique (2019) – Specialization: Informatique.

Université de Nantes – France:

  • Doctorat en Informatique (2009-2013) – Specialization: Système d’Information (SI).

Université de Bourgogne – France:

  • Master En Informatique (2008-2009) – Specialization: Image, Informatique et Ingénierie (3I).

Université 08 mai 1945 Guelma – Algeria:

  • Ingénieur d’État En Informatique (2001-2006) – Specialization: Intelligence Artificiel (IA).
Professional Experience:

Prof. Zineddine Kouahla is a seasoned academic with a wealth of experience in the field of computer science and Information Systems (IS). He has been serving as an Enseignant titulaire, Maitre de Conférences Classe A in Informatique at the Université de Guelma since 2014, where he plays a pivotal role in teaching a range of computer science courses and conducting cutting-edge research in areas such as data indexing, query processing, IoT systems, and cloud computing. Prior to this, he held teaching positions at prestigious institutions including Université de Toulon du Var and Université de Jean Monnet St Etienne in France, as well as École polytechnique de l’Université de Nantes. Prof. Kouahla has also contributed significantly to academic administration as the Chef de département d’informatique at Université 08 Mai 1945 Guelma since 2016, where he oversees the department’s operations and ensures the delivery of high-quality education and research initiatives. His multifaceted professional journey reflects his dedication to advancing knowledge and innovation in the field of computer science.

Research Interest:

Prof. Zineddine Kouahla’s research interests encompass several key areas in computer science and information systems. He focuses on advancing data management techniques, particularly in the realms of data indexing and query processing, aiming to develop efficient algorithms and strategies for handling large datasets effectively. His work also extends into the realm of Internet of Things (IoT) systems, where he investigates dynamic clustering and data indexing methods to enhance the scalability and performance of IoT networks. Additionally, Prof. Kouahla delves into cloud computing optimization, exploring ways to improve data storage, retrieval, and processing in heterogeneous cloud environments. His research also intersects with machine learning and artificial intelligence, applying these technologies to solve complex problems in data analytics and decision-making. Furthermore, he contributes to the field of multimedia information retrieval, developing models for organizing and retrieving multimedia content based on content analysis and user preferences. Overall, Prof. Kouahla’s research agenda reflects a deep commitment to advancing cutting-edge technologies and solutions in computer science.

Publication Top Noted:

An efficient indexing for Internet of Things massive data based on cloud‐fog computing

  • Authors: AE Benrazek, Z Kouahla, B Farou, MA Ferrag, H Seridi, M Kurulay
  • Journal: Transactions on Emerging Telecommunications Technologies
  • Year: 2020
  • Cited By: 38

A new intersection tree for content-based image retrieval

  • Authors: Z Kouahla, J Martinez
  • Conference: 2012 10th International Workshop on Content-Based Multimedia Indexing (CBMI)
  • Year: 2012
  • Cited By: 14

XM-tree: data-driven computational model by using metric extended nodes with non-overlapping in high-dimensional metric spaces

  • Authors: Z Kouahla, A Anjum, S Akram, T Saba, J Martinez
  • Journal: Computational and Mathematical Organization Theory
  • Year: 2019
  • Cited By: 13

Efficient camera clustering method based on overlapping fovs for wmsns

  • Authors: AE Benrazek, F Brahim, K Muhammet
  • Journal: International Journal of Informatics and Applied Mathematics
  • Year: 2019
  • Cited By: 13

A Survey on Big IoT Data Indexing: Potential Solutions, Recent Advancements, and Open Issues

  • Authors: Z Kouahla, AE Benrazek, MA Ferrag, B Farou, H Seridi, M Kurulay, …
  • Journal: Future Internet
  • Year: 2022
  • Cited By: 12

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

Yuting Huang | Energy Conversation | Best Researcher Award

Dr. Yuting Huang, Energy Conversation, Best Researcher Award

Doctorate at Hunan University, China

Dr. Yuting Huang is a highly skilled engineer and researcher specializing in Civil and Hydraulic Engineering, with a focus on Heating, Ventilation, and Air Conditioning (HVAC). She is currently pursuing a Ph.D. at Hunan University, building upon her Master’s degree in Power Engineering and Engineering Thermophysics from Guangxi University, where she ranked 2nd out of 40 students. Dr. Huang’s academic journey began with a Bachelor’s degree in Built Environment and Energy Application Engineering from Wuhan Textile University, where she ranked 1st out of 80 students under the guidance of Prof. Guangcai Gong. Her expertise lies in areas such as indoor thermal and humid environments, indoor air quality, thermal comfort, comfort ventilation, building load, energy efficiency, and computational fluid dynamics (CFD) simulation. Dr. Huang’s research aims to optimize the thermal and humid environment of buildings, contributing to advancements in environmental comfort and energy efficiency.

Profile:

Education:

Ph.D. in Civil and Hydraulic Engineering (Heating, Ventilation, and Air Conditioning)

  • Institution: Hunan University
  • Duration: September 2022 – present

Master’s in Power Engineering and Engineering Thermophysics

  • Institution: Guangxi University
  • Duration: September 2018 – January 2021
  • Rank: 2nd out of 40 students

Bachelor’s in Built Environment and Energy Application Engineering

  • Institution: Wuhan Textile University
  • Duration: September 2014 – June 2018
  • Rank: 1st out of 80 students
  • Supervisor: Prof. Guangcai Gong

Professional Experience:

Dr. Yuting Huang’s professional experience includes working as a Computational Fluid Dynamics (CFD) Engineer in the CAE (Computer Aided Engineering) department at BYD Auto Industry Company Limited from March 2021 to August 2022. In this role, she was involved in various projects related to thermal comfort, air duct optimization, defrosting performance of air conditioners, battery cooling systems, air intake simulations for radiators, and wind resistance simulations. Additionally, Dr. Huang has been actively engaged in research and academic activities during her studies, focusing on areas such as indoor thermal and humid environments, indoor air quality, comfort ventilation, building load forecasting, and system optimization. Her work has contributed to advancements in understanding the dynamic response characteristics of air-carrying energy radiant diffuse terminals and optimization methods for the thermal and humid environment of buildings. Overall, Dr. Huang’s professional experience demonstrates her expertise in HVAC engineering, computational fluid dynamics, and research in building environmental engineering.

Research Interest:

Dr. Yuting Huang’s research interests lie at the intersection of Civil and Hydraulic Engineering, with a specialized focus on Heating, Ventilation, and Air Conditioning (HVAC) systems and building environmental engineering. Her primary areas of interest include optimizing the Indoor Thermal and Humid Environment to enhance comfort and energy efficiency. She is particularly interested in investigating Indoor Air Quality factors, such as pollutants and ventilation systems, to create healthier indoor spaces. Dr. Huang also delves into Thermal Comfort research, studying the interplay of temperature, humidity, and air movement for optimal occupant comfort. Her work extends to Comfort Ventilation strategies, Building Load analysis for energy optimization, and developing Energy Efficiency solutions for HVAC systems and building envelopes. Utilizing Computational Fluid Dynamics (CFD) Simulation techniques, she models airflow, heat transfer, and pollutant dispersion to inform design and operation decisions. Through her research, Dr. Huang aims to advance sustainable building practices and improve indoor environmental quality for enhanced occupant well-being.

Publication Top Noted:

Photovoltaic power forecasting based on a support vector machine with improved ant colony optimization

  • Authors: M Pan, C Li, R Gao, Y Huang, H You, T Gu, F Qin
  • Journal: Journal of Cleaner Production
  • Volume: 277
  • Pages: 123948
  • Cited By: 137
  • Year: 2020

Review on slagging evaluation methods of biomass fuel combustion

  • Authors: C Chen, Y Bi, Y Huang, H Huang
  • Journal: Journal of Analytical and Applied Pyrolysis
  • Volume: 155
  • Pages: 105082
  • Cited By: 61
  • Year: 2021

Accurate heating, ventilation and air conditioning system load prediction for residential buildings using improved ant colony optimization and wavelet neural network

  • Authors: Y Huang, C Li
  • Journal: Journal of Building Engineering
  • Volume: 35
  • Pages: 101972
  • Cited By: 48
  • Year: 2021

Effect of oxygen enriched atmospheres on combustion of bagasse, coal and theirs blends by thermogravimetric analysis

  • Authors: C Chen, Y Huang, S Yang, S Qin, F Chen
  • Journal: Journal of Environmental Chemical Engineering
  • Volume: 8 (5)
  • Pages: 104398
  • Cited By: 30
  • Year: 2020

Slagging tendency estimation of aquatic microalgae and comparison with terrestrial biomass and waste

  • Authors: C Chen, Y Huang, S Qin, D Huang, X Bu, H Huang
  • Journal: Energy
  • Volume: 194
  • Pages: 116889
  • Cited By: 30
  • Year: 2020

Zunjie Yu | Cybersecurity | Best Researcher Award

Dr. Zunjie Yu, Cybersecurity, Best Researcher Award

Doctorate at Shandong University of Science and Technology, China

Dr. Zunjie Yu is currently pursuing a Ph.D. in control theory and control engineering at Shandong University of Science and Technology, Qingdao, China. Her research interests focus on event-triggered control and consensus analysis of multiagent systems. She has contributed significantly to these areas with publications in reputable journals, showcasing her expertise and contributions to the field.

Profile:

Education:

Dr. Zunjie Yu is pursuing a Ph.D. degree in Control Theory and Control Engineering at Shandong University of Science and Technology, Qingdao, China.

Professional Experience:

Dr. Zunjie Yu’s professional experience is primarily focused on her academic pursuits and research activities. She is currently engaged in pursuing a Ph.D. in control theory and control engineering at Shandong University of Science and Technology, Qingdao, China. Her work involves conducting research in the areas of event-triggered control and consensus analysis of multiagent systems. Through her research endeavors, Dr. Yu has published several notable papers in reputable journals, demonstrating her expertise and contributions to the field of control engineering.

Research Interest:

Dr. Zunjie Yu’s research interests revolve around control theory and control engineering, with a specific focus on event-triggered control and consensus analysis in multiagent systems. Her work aims to advance understanding and develop innovative solutions in these areas, addressing challenges such as secure control against cooperative attacks, stochastic nonlinear systems, hybrid multiagent systems, and consensus in directed networks. Dr. Yu’s research also extends to finite-time consensus, leader-following systems, and event-triggered communication strategies. Through her publications and ongoing research, she contributes significantly to the advancement of control theory and its applications in complex systems.

Publication Top Noted:

Event-triggered security consensus of continuous-time multi-agent systems against complex cooperative attacks

  • Authors: Zhang, W., Yu, Z., Jiang, X.
  • Journal: Information Sciences
  • Volume: 662
  • Year: 2024
  • Pages: 120260
  • Citations: 0

Event-Triggered Secure Control for Consensus of the Discrete-Time Multiagent System Against Complex Cooperative Attacks

  • Authors: Yu, Z., Zhang, W.
  • Journal: IEEE Transactions on Systems, Man, and Cybernetics: Systems
  • Year: 2024
  • Citations: 0

Almost sure consensus of stochastic nonlinear multi-agent systems via event-triggered control

  • Authors: Yu, Z., Zhang, W.
  • Journal: Nonlinear Dynamics
  • Volume: 111
  • Issue: 4
  • Year: 2023
  • Pages: 3469–3478
  • Citations: 7

Event-Triggered Sliding-Mode Control for Consensus of Second-Order Leader-Following Multi-Agent Systems

  • Authors: Lv, J., Yu, Z., Zhang, W.
  • Conference: Proceedings of the 2nd Conference on Fully Actuated System Theory and Applications, CFASTA 2023
  • Year: 2023
  • Pages: 367–371
  • Citations: 0

Finite-time consensus for the second-order leader-following nonlinear multi-agent system with event-triggered communication

  • Authors: Yu, Z., Zhang, W., Ma, L.
  • Journal: Journal of the Franklin Institute
  • Volume: 359
  • Issue: 12
  • Year: 2022
  • Pages: 6486–6502
  • Citations: 16

Dondapati Rajendra Dev | Internet of Things | Best Researcher Award

Mr. Dondapati Rajendra Dev, Internet of Things, Best Researcher Award

Dondapati Rajendra at  DevVignan’s Institute of Engineering for Women, India

Mr. Dondapati Rajendra Dev is an Assistant Professor at Vignan’s Institute of Engineering for Women since September 6th, 2018. He holds a Ph.D. in Image Processing from ANNAMALAI University, pursuing since December 2019. He completed his M.Tech in Software Engineering from GITAM Institute of Technology in 2014 and his B.Tech in Computer Science Engineering from Sri Sivani College of Engineering in 2010. He has industrial experience as a Jr. Software Engineer at EESOFT TECHNOLOGIES PVT. LTD from September 2010 to May 2012. His academic interests include Cyber Security & Cryptography, Software Engineering, Software Architecture, Cloud Computing, and Mobile Computing. He is a life member of various professional bodies including the Computer Society of India (CSI) and the International Association of Engineers (IAENG). He has strengths in maintaining good relationships, quick learning, and self-determination. His weaknesses include being introverted.

Profile:

Education:
  • Pursuing Ph.D. in Image Processing from ANNAMALAI University since December 2019.
  • M. Tech in Software Engineering from GITAM Institute of Technology, 2014.
  • B. Tech in Computer Science Engineering from Sri Sivani College of Engineering, 2010.
  • Intermediate in Maths, Physics, and Chemistry from Sri Chaitanya College, 2006.
  • SSC from Little J.K Public School, 2004.

Professional Experience:

Mr. Dondapati Rajendra Dev has a diverse professional experience that spans academia and industry. He currently serves as an Assistant Professor at Vignan’s Institute of Engineering for Women, a position he has held since September 6th, 2018. Prior to this, he worked as an Assistant Professor at Sanketika Institute of Technology and Management from July 26th, 2017, to September 4th, 2018, and as an Assistant Professor at Sri Sivani College of Engineering from October 10th, 2014, to May 31st, 2017. In the industry, he gained valuable experience as a Jr. Software Engineer at EESOFT TECHNOLOGIES PVT. LTD from September 2010 to May 2012. Throughout his career, Mr. Dondapati has demonstrated strong expertise in software engineering, cybersecurity, cryptography, software architecture, cloud computing, and mobile computing. He is well-versed in programming languages such as C, C#, Asp.net, and Python, along with web technologies like JavaScript, HTML, and CSS. His proficiency extends to platforms like Windows and Ubuntu, and he is skilled in using software tools such as Win runner, Android, XAMPP server, and Rational Rose Tool. As a member of professional bodies like the Computer Society of India (CSI), South Asia Institute of Science and Engineering (SAISE), Society of Digital Information and Wireless Communications (SDIWC), International Society for Research and Development (ISRD), and International Association of Engineers (IAENG), Mr. Dondapati remains engaged in the latest developments in his field. His strengths lie in building strong relationships, quick learning, and a self-determined approach to accomplishing tasks efficiently, even under stress. He acknowledges his introverted nature as a personal challenge but has effectively leveraged his skills and knowledge in both academic and industrial settings.

Research Interest:

Cyber Security & Cryptography: Investigating advanced cryptographic algorithms, secure communication protocols, and cybersecurity measures to protect sensitive data in digital environments.

Software Engineering: Enhancing software development methodologies, software architecture, and design patterns to improve software quality, maintainability, and reliability.

Distributed Systems: Researching distributed computing architectures, resource management, and communication protocols to develop efficient and scalable distributed systems.

Cloud Computing: Exploring cloud infrastructure, virtualization techniques, and cloud-based services to optimize resource utilization and provide reliable computing solutions.

Mobile Computing: Studying mobile application development, mobile operating systems, and mobile security to enhance the performance and security of mobile devices and applications.

Software Testing: Developing innovative software testing methodologies, automated testing tools, and techniques for ensuring software correctness and reliability.

Computer Networks: Investigating network protocols, network security mechanisms, and network performance optimization to create robust and secure network infrastructures.

Data Science: Applying data mining techniques, machine learning algorithms, and big data analytics to extract valuable insights from large datasets and support data-driven decision-making.

Internet of Things (IoT): Exploring IoT architectures, IoT security challenges, and applications of IoT technology in various domains such as healthcare, smart cities, and industrial automation.

Publication Top Noted:

A Study of Artificial Emotional Intelligence for Human–Robot Interaction

  • Authors: DR Dev, AK Badhan, R Roy
  • Journal: Journal of Critical Reviews
  • Volume: 7
  • Issue: 15
  • Pages: 1839-1842
  • Year: 2020
  • Citations: 6

Communication Technology for Users with Specific Learning Incapacities

  • Author: RR D. Rajendra Dev
  • Journal: CiiT International Journal of Artificial Intelligent Systems and Machine
  • Year: 2019
  • Citations: 5*

Socially intelligent robots: evolution of human-computer interaction

  • Authors: R Roy, DR Dev, VSR Prasad
  • Journal: J Crit Rev
  • Volume: 7
  • Issue: 15
  • Pages: 1843-1848
  • Year: 2020
  • Citations: 4

Metamorphosis Knowledge Probing of Guild Data through Chat Bot Using NLP

  • Author: DRD Rita Roy
  • Journal: CiiT International Journal of Artificial Intelligent Systems and Machine
  • Year: 2019
  • Citations: 4*

Uncertainty determination and reduction through novel approach for industrial IOT

  • Authors: DR Dev, VS Biradar, V Chandrasekhar, V Sahni, P Negi
  • Journal: Measurement: Sensors
  • Pages: 100995
  • Year: 2024