Dr. Islam Zada | Software Awards | Young Scientist Award

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Dr. Islam Zada | Software Awards | Young Scientist Award

Dr. Islam Zada, International Islamic University, Pakistan

Dr. Zada is an Assistant Professor in the Department of Software Engineering at International Islamic University (IIU), Islamabad, with a Ph.D. in Computer Science from the University of Peshawar. His research focuses on software defect prediction and clustering algorithms, with influential publications such as “Software defect prediction employing BiLSTM and BERT-based semantic feature” in Soft Computing and “Analysis of Simple K-Mean and Parallel K-Mean Clustering” in Scientific Programming. His expertise extends to teaching a broad range of software engineering courses, including Agile and Sustainable Software Engineering. Dr. Zada’s contributions reflect a strong commitment to advancing sustainable software practices and enhancing software performance analysis.

Professional Profile:

Google Scholar

Suitability for the Award

Dr. Islam Zada is highly suitable for the Research for Young Scientist Award due to the following reasons:

  1. Advanced Academic Background: Dr. Zadaā€™s academic journey, culminating in a Ph.D. in Software Engineering, underscores his deep understanding of and commitment to the field.
  2. Innovative Research: His Ph.D. research on an ontology-based integrated approach for sustainable software development is both timely and relevant, reflecting a focus on sustainability in software engineering, a crucial area in today’s tech landscape.
  3. Teaching and Mentorship: Dr. Zada has a rich teaching portfolio, having taught a wide range of software engineering and computer science courses at multiple institutions. His role as an Assistant Professor demonstrates his leadership and dedication to educating the next generation of software engineers.
  4. Impactful Publications: Dr. Zada has contributed to high-impact research, as evidenced by his publications. His work on software defect prediction using advanced AI techniques like BiLSTM and BERT is particularly noteworthy, highlighting his ability to apply cutting-edge methods to solve complex problems in software engineering.
  5. Young but Experienced: Despite his relatively recent entry into academia, Dr. Zada has amassed significant experience and accomplishments, making him a standout young researcher in his field.

Educational Background:

Dr. Zada holds a Ph.D. in Computer Science with a specialization in Software Engineering from the University of Peshawar, and a Masterā€™s in Software Engineering from the same institution. His academic foundation is complemented by a Masterā€™s and Bachelorā€™s degree in Computer Science from the University of Malakand. His thesis work on “An Ontology-Based Integrated Approach for Sustainable Software Development” reflects his commitment to advancing sustainable software engineering practices.

Professional Experience:

Dr. Zada has a diverse range of teaching and research roles, including his current position as an Assistant Professor in the Department of Software Engineering at International Islamic University (IIU), Islamabad. He has previously served as a lecturer at IIU, Kohat University of Science & Technology, and the University of Peshawar. His experience spans various institutions and includes roles such as Research Associate and IT Trainer, showcasing his broad expertise in software engineering and IT.

Courses Taught:

Dr. Zada has taught a wide array of courses including Data Structures, Software Project Management, Software Engineering & Re-engineering, Agile Software Engineering, and Green and Sustainable Software Engineering. His involvement in these courses indicates a strong commitment to educating the next generation of software engineers.

Research and Teaching Impact:

His research and teaching roles have had a significant impact, evidenced by his publications and contributions to the field. His research on software defect prediction and clustering algorithms has been well-received in the academic community, reflecting his role as a leading young scientist in software engineering.

Publication Top Notes:

  • Title: Software Defect Prediction Employing BiLSTM and BERT-Based Semantic Feature
    • Cited by: 44
    • Year: 2022
  • Title: Analysis of Simple K-Mean and Parallel K-Mean Clustering for Software Products and Organizational Performance Using Education Sector Dataset
    • Cited by: 22
    • Year: 2021
  • Title: Software Architecture for Pervasive Critical Health Monitoring System Using Fog Computing
    • Cited by: 15
    • Year: 2022
  • Title: Evaluation of Software Birthmarks Using Fuzzy Analytic Hierarchy Process
    • Cited by: 15
    • Year: 2015
  • Title: Analysis of Service-Oriented Architecture and Scrum Software Development Approach for IIoT
    • Cited by: 14
    • Year: 2021

 

 

Prof. Xiaodi Liu | Cloud model Awards | Best Researcher Award

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Prof. Xiaodi Liu | Cloud model Awards | Best Researcher Award

Prof. Xiaodi Liu, Anhui University of Technology, China

Dr. Xiaodi Liu is a distinguished Professor in the Department of Data Science at the School of Microelectronics & Data Science, Anhui University of Technology. His research interests span across big data, decision analysis, emergency management, complex system modeling, and social networks. Dr. Liu teaches courses such as Decision Analysis, Fuzzy Mathematics, Linear Algebra, and Advanced Mathematics. He has secured multiple prestigious grants, including those from the National Social Science Foundation of China, National Natural Science Foundation of China, and the Humanities and Social Sciences Foundation of the Ministry of Education of China. His dedication to research and teaching significantly contributes to advancements in data science.

Professional Profile:

Orcid
Scopus

šŸŽ“Ā Education

Prof. Xiaodi Liu completed his Ph.D. in Economics and Management at Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, CN, from 2012 to 2015. His research focuses on areas within economics and management, reflecting his commitment to advancing knowledge in these fields.

šŸ‘Øā€šŸ« Employment

Prof. Xiaodi Liu is currently employed at Anhui University of Technology in Ma’anshan, China, where he serves in the School of Mathematics & Physics. His professional focus encompasses research and teaching within the academic realm, contributing to the advancement of mathematical and physical sciences at his institution.

šŸ†Ā Research Interests

Prof. Xiaodi Liu is a dedicated researcher with a diverse array of interests spanning big data, decision analysis, emergency management, complex system modeling, and social networks. With a robust academic background and extensive research experience, Prof. Liu contributes significantly to advancing knowledge in these critical areas, aiming to enhance understanding and improve practices in complex systems and societal challenges.

Publication Top Notes:

  • Title: Large group emergency decision-making with bi-directional trust in social networks: A probabilistic hesitant fuzzy integrated cloud approach
    • Year: 2024
    • Cited By: 4
  • Title: Analysis of distance measures in intuitionistic fuzzy set theory: A line integral perspective
    • Year: 2023
    • Cited By: 5
  • Title: A two-stage multi-attribute group consensus model based on distributed linguistic assessment information from the perspective of fairness concern
    • Year: 2023
    • Cited By: 1
  • Title: Two-rank multi-attribute group decision-making with linguistic distribution assessments: An optimization-based integrated approach
    • Year: 2023
    • Cited By: 3
  • Title: Large group decision-making based on interval rough integrated cloud model
    • Year: 2023
    • Cited By: 8

 

 

Prof. Ridha Ejbali | Multimedia System | Best Researcher Award

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Prof. Ridha Ejbali | Multimedia System | Best Researcher Award

Prof. Ridha Ejbali, Research Team in Intelligent Machines, Tunisia

Prof. Ridha Ejbali, a distinguished academic from Tunisia šŸ‡¹šŸ‡³, is renowned for his expertise in the field of Information Systems. With a Research Habilitation and Doctorate from the National Engineering School of Sfax (ENIS), University of Sfax, Tunisia šŸŽ“, Prof. Ejbali has held key positions at the Faculty of Sciences of Gabes (FSG), University of Gabes, Tunisia, serving as both Associate Professor and Assistant Professor šŸ«. His dedication to academia extends to his roles as a member of the Scientific Council, Head of IT Department, and President of the UTT club “Teck Unified Team” at FSG. Prof. Ejbali’s research focuses on intelligent machines, encompassing areas such as machine learning, deep learning, pattern recognition, computer vision, classification, and security, as part of the Research Team in Intelligent Machines (RTIM) at FSG.

šŸŒ Professional Profile:

Scopus

Google Scholar

šŸŽ“ Qualifications

  • Research Habilitation in Engineering of Information Systems (July 2018): National Engineering School of Sfax (ENIS), University of Sfax, Tunisia
  • Doctorate in Engineering of Information Systems (December 2012): National Engineering School of Sfax (ENIS), University of Sfax, Tunisia

šŸ« Professional Experience

  • Associate Professor (2020 ā€“ Present): Faculty of Sciences of Gabes (FSG), University of Gabes, Tunisia
  • Assistant Professor (2014 ā€“ 2020): Faculty of Sciences of Gabes (FSG), University of Gabes, Tunisia

šŸŒ Responsibilities & Pedagogical Activities

  • Member of the Scientific Council at the Faculty of Sciences of Gabes since January 2021
  • Head of IT Department at the Faculty of Sciences of Gabes (September 2017 – January 2021)
  • President of UTT club “Teck Unified Team” at the Faculty of Sciences of Gabes since 2015

šŸ§  Research Work & Affiliations

  • Affiliation: Research Team in Intelligent (RTIM) at the Faculty of Sciences of Gabes
  • Research Topics: Machine learning, deep learning, pattern recognition, computer vision, classification, security

Publication Top Notes:

 

 

 

 

Mr. Abdullah Abualhamayl | Blockchain Applications Awards | Best Researcher Award

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Mr. Abdullah Abualhamayl | Blockchain Applications Awards | Best Researcher Award

Mr. Abdullah Abualhamayl , University of Technology Sydney, Australia

Abdullah Abualhamayl is a seasoned educator and PhD candidate at the University of Technology Sydney, specializing in computer science with a keen interest in Blockchain and Non-Fungible Tokens (NFTs) in real estate management. With over five years of experience as a lecturer at King Abdulaziz University in Jeddah, Saudi Arabia, Abdullah has demonstrated expertise in teaching computer skills to diverse student populations, coordinating courses, and training teaching assistants. He holds a Master of Science in Computer Science from California State University, San Bernardino, and a Bachelor of Science in Computer Science from King Abdulaziz University. Committed to advancing research, Abdullah has contributed to academic publications and serves as a peer reviewer in the blockchain field.

Professional Profile:

Google Scholar

šŸ“š Education:

Abdullah Abualhamayl is a dedicated scholar currently pursuing a Ph.D. in Computer Science at the University of Technology Sydney. His doctoral research focuses on Blockchain and Non-Fungible Tokens (NFTs) in real estate management, with an expected completion date of December 2025. Prior to his Ph.D. studies, Abdullah obtained a Master of Science degree in Computer Science from California State University, San Bernardino, in 2015, where he maintained an impressive GPA of 3.63/4.0. He also holds a Bachelor of Science degree in Computer Science from King Abdulaziz University, graduating with Second Class Honors in 2009 and achieving a GPA of 4.5/5.0. This strong academic background reflects Abdullah’s commitment to advancing his knowledge and expertise in the field of computer science.

šŸ¢ Experience:

Abdullah Abualhamayl is currently pursuing a Ph.D. in Computer Science at the University of Technology Sydney, specializing in Blockchain and Non-Fungible Tokens (NFTs) in real estate management. Expected to complete his doctoral studies by December 2025, Abdullah’s research focuses on exploring the applications and implications of emerging technologies in the real estate industry.

šŸ’¼ Professional Summary:

Abdullah Abualhamayl is an experienced educator with a strong background in computer science. His expertise spans practical and theoretical applications, with a particular focus on data mining, machine learning, and artificial intelligence. Currently engaged in research on Blockchain and NFTs, Abdullah contributes to academic discourse through research publications and peer review activities.

Publication Top Notes:

  1. Differential equation to verify the validity of the model of the whole-person mental health education activity in Universities
    • Published in: Applied Mathematics and Nonlinear Sciences
    • Year: 2021
    • Cited by: 8
    • Summary: This work presents a differential equation to validate the whole-person mental health education model in universities.
  2. Dynamic Nonlinear Differential Investment Decision Model For Scenic Spot System With Uncertainties And Emergencies
    • Published in: Fractals
    • Year: 2022
    • Cited by: 6
    • Summary: The paper proposes a dynamic nonlinear differential investment decision model for scenic spot systems under uncertainties and emergencies.
  3. Towards Fractional NFTs for Joint Ownership and Provenance in Real Estate
    • Published in: 2023 IEEE International Conference on e-Business Engineering (ICEBE)
    • Year: 2023
    • Cited by: 2
    • Summary: This paper explores fractional NFTs for joint ownership and provenance in real estate, presented at ICEBE 2023.
  4. Blockchain for real estate provenance: an infrastructural step toward secure transactions in real estate E-Business
    • Published in: Service Oriented Computing and Applications
    • Year: 2024
    • Summary: The article discusses the use of blockchain for real estate provenance, contributing to secure transactions in e-business.

 

 

 

 

 

Dr. Brijesh Kumar Chaurasia | Smart Technology Awards | Best Researcher Award

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Dr. Brijesh Kumar Chaurasia | Smart technology Awards | Best Researcher Award

Dr. Brijesh Kumar Chaurasia , Pranveer Singh Institute of Technology, Kanpur, India

Dr. Brijesh Kumar Chaurasia is a distinguished academic and researcher specializing in network security, with a primary focus on Vehicular Ad hoc Networks, Trust Management in VANETs, Blockchain, cloud authentication, and IoV/IoT. He earned his Ph.D. in Privacy Preservation in Vehicular Ad-hoc Networks from IIIT-Allahabad in 2013 and his M. Tech in Computer Science and Engineering from DAVV-Indore in 2006. With over 22 years of teaching experience and 4+ years in research and development, Dr. Chaurasia currently serves as a Professor and Dean of Research and Innovation at Pranveer Singh Institute of Technology, Kanpur. He has previously taught at ITM Group in Gwalior and IIIT Lucknow. He has been a principal investigator on several research grants, supervised numerous Ph.D. and postgraduate theses, and holds patents in IoT and smart systems. Dr. Chaurasia is actively involved in professional activities as a Senior Member of IEEE, Fellow of IETE, and member of IE and CSI. He has contributed to international journals and participated in various FDPs and workshops, showcasing his commitment to advancing knowledge and innovation in his field.

Professional Profile:

Google Scholar

šŸŽ“ Education:

Dr. Brijesh Kumar Chaurasia earned his Ph.D. in Computer Science and Engineering from IIIT-Allahabad, India, with his thesis focusing on Privacy Preservation in Vehicular Ad-hoc Networks. This prestigious degree was awarded on April 12, 2013, marking a significant milestone in his academic journey. Prior to his doctoral studies, Dr. Chaurasia completed his Master of Technology in Computer Science and Engineering from DAVV-Indore, India, in 2006. These educational accomplishments laid a strong foundation for his subsequent research and professional endeavors in the field of network security and technology.

šŸ’¼ Employment and Experience:

Dr. Chaurasia has a combined experience of over 27 years in Research & Development, Teaching, and Industry. Currently, he serves as a Professor in Computer Science and Engineering & Dean Research and Innovation at Pranveer Singh Institute of Technology, Kanpur. Previously, he held teaching positions at ITM Group, Gwalior, MP, India, and Indian Institute of Information Technology, Lucknow.

šŸ” Research Grants:

He has been involved in various research projects as Principal Investigator and Expert Member, securing grants for projects related to Hindi News portal development, IoT implementation and security, web redesigning, and Automatic Number Plate Recognition.

Publication Top Notes:

  1. Trust based location finding mechanism in VANET using DST
    • K Sharma, BK Chaurasia
    • 2015 Fifth International Conference on Communication Systems and Network, 2015
    • Cited by 66
  2. Message broadcast in VANETs using group signature
    • BK Chaurasia, S Verma, SM Bhasker
    • 2008 Fourth International Conference on Wireless Communication and Sensor Networks, 2008
    • Cited by 65
  3. Infrastructure based authentication in VANETs
    • BK Chaurasia, S Verma
    • International Journal of Multimedia and Ubiquitous Engineering, 2011
    • Cited by 54
  4. State of the art of data dissemination in VANETs
    • P Tomar, BK Chaurasia, GS Tomar
    • International Journal of Computer Theory and Engineering, 2010
    • Cited by 47
  5. Hiding sensitive association rules without altering the support of sensitive item(s)
    • D Jain, P Khatri, R Soni, BK Chaurasia
    • Advances in Computer Science and Information Technology. Networks and Communications, 2012
    • Cited by 43

 

 

 

Assist Prof Dr. Uğur Sorgucu | Electromagnetic Shielding | Best Researcher Award

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Assist Prof Dr. Uğur Sorgucu | Electromagnetic Shielding | Best Researcher Award

Assist Prof Dr. Uğur Sorgucu, Nevsehir Haci Bektas Veli University, Turkey

Dr. Uğur Sorgucu is an Assistant Professor with expertise in the effects of electromagnetic fields on biological systems, interdisciplinary artificial intelligence applications, soft computing, fuzzy systems, and electromagnetic compatibility (EMC). He holds a PhD in Electrical and Electronics Engineering with a focus on the thermal effects of electromagnetic fields. His research interests also include the measurement and evaluation of electromagnetic pollution caused by GSM networks. Dr. Sorgucu has extensive teaching experience in circuit theory, basic information technology use, artificial intelligence, and occupational health and safety. He has served as a Research Assistant at Nevşehir Hacı Bektaş Veli University and Bartın University.

šŸŒĀ Professional Profiles :

Google Scholar

Scopus

šŸŽ“ Education:

Dr. Uğur Sorgucu completed his Ph.D. in Electrical and Electronics Engineering with a focus on Telecommunication from Erciyes University in 2021. His thesis, “Investigation of Thermal Effects of Electromagnetic Fields with Different Methods and Modelling with Soft Calculation Methods,” was supervised by Prof. Dr. Ä°brahim Develi. He also holds a Master’s degree in Electrical and Electronics Engineering, specializing in Telecommunication, and a Bachelor’s degree in the same field.

šŸ‘Øā€šŸ« Academic and Professional Background:

Dr. Sorgucu has worked as a Research Assistant at both Nevşehir Hacı Bektaş Veli University and Bartın University, where he taught courses like Circuit Theory, Circuit Lab, Basic Information Technology Use, Artificial Intelligence and Engineering Applications, Occupational Health and Safety II, and Electromagnetic Compatibility.

šŸ” Research Areas:

His research interests include the effects of electromagnetic fields on biological systems, interdisciplinary artificial intelligence applications, soft computing, fuzzy systems, and electromagnetic compatibility (EMC).

šŸ† Achievements:

Dr. Uğur Sorgucu has made significant contributions to the field of Electrical and Electronics Engineering, particularly in the areas of electromagnetic fields and artificial intelligence.

šŸŒ Community Impact:

His work has the potential to improve understanding and management of electromagnetic pollution and its effects on living organisms, as well as advance the use of artificial intelligence in engineering applications.

Publications Top Notes :

  1. Modeling of heating and cooling performance of counter flow type vortex tube by using artificial neural network
    • Published year: 2010
    • Journal: International Journal of Refrigeration
    • Cited by: 36
  2. Measurement and analysis of electromagnetic pollution generated by GSM-900 mobile phone networks in Erciyes University, Turkey
    • Published year: 2012
    • Journal: Electromagnetic Biology and Medicine
    • Cited by: 28
  3. Prediction of temperature distribution in human BEL exposed to 900 MHz mobile phone radiation using ANFIS
    • Published year: 2015
    • Journal: Applied Soft Computing
    • Cited by: 13
  4. Arama ve Aranma Sırasında GSM 900 MHz Cep Telefonunun Yaydığı Elektromanyetik Radyasyonun Değişiminin Deneysel Olarak Gƶzlenmesi
    • Published year: 2011
    • Journal: Elektrik-Elektronik ve Bilgisayar Sempozyumu, Fırat Ɯniversitesi, Elazığ
    • Cited by: 6
  5. Head equivalent liquids: A review on composing, recipes and standards
    • Published year: 2016
    • Journal: Proceedings of the World Congress on Electrical Engineering and Computer
    • Cited by: 5

 

 

 

 

 

Resource Discovery

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Introduction of Resource Discovery :

Resource Discovery is a critical research area within network protocols and technology. It focuses on the development of efficient methods and algorithms for locating and identifying resources within a networked environment.

 

Distributed Resource Discovery Algorithms:

Research in this area explores algorithmse and techniques for finding and cataloging resources distributed acrose multiple nodes or devices in a network.

Semantic Resource Discovery:

This subtopic involves the use of semanticĀ  technologies and ontologies to enhance resource discovery by enobling more context-aware and intelligent searches.

Efficient and Scalable Discovery Protocols:

Researchers work on designing discovery protocols that can efficiently scale to lerge and dynamic networks, ensuring quick resource identification even in highly complex environments.

Security and Privacy in Resource Discovery:

This subfield deals with theĀ  challenges of securing resource discovery mechanisms while preserving user privacy, especially in applications like IoT and cloud computing.

Resource Discovery in Edge Computing:

Given the rise of edge computing, this subtopic explores resource discovery strategiesĀ  teilored to edge environments, optimising the utilization of edge resourcse for low-latensy applications.

Communication Network Protocols
Introduction of Communication Network Protocols : Communication Network Protocols research plays a pivotal role in shaping the ever-evolving landscape of modern telecommunications. It focuses on designing, analyzing, and optimizing protocols
New Design Contributions on All Protocol Layers Except the Physical Layer
Introduction of New Design Contributions on All Protocol Layers Except the Physical Layer : New Design Contributions on All Protocol Layers Except the Physical Layer research is at the forefront
Emerging Trends
Introduction of Emerging Trends: Emerging trends are the compass guiding us through the ever-evolving landscape of technology, business, and society. In a world marked by rapid change and innovation, these
Network virtualization
Introduction of Network Virtualization : Network virtualization is a burgeoning field of research that has revolutionized the way we conceptualize and manage computer networks. It involves the abstraction and decoupling
Performance Analysis
Introduction of Performance Analysis : Performance Analysis research plays a pivotal role in optimizing systems, applications, and processes across various domains. This dynamic field is dedicated to assessing, measuring, and
Agri-Tech Apps
Introduction of Agri-Tech Apps : Agri-Tech Apps research represents a pioneering frontier in agriculture, harnessing the power of digital technology to enhance productivity, sustainability, and efficiency in farming practices. This
Green Networking
Introduction of Green Networking : Green Networking research is at the forefront of the technology landscape, offering innovative solutions to address the environmental impact of modern network infrastructures. It is
Sensor Networks
Introduction of Sensor Networks : Sensor Networks research represents a dynamic and multidisciplinary field at the intersection of computer science, electronics, and telecommunications. It revolves around the deployment of a
Communication Theory
  Introduction of Communication Theory: Communication Theory research lies at the heart of our understanding of how information is transmitted, received, and interpreted in various contexts. This multidisciplinary field delves
Edge and Fog Computing
Introduction of Edge and Fog Computing : Edge and Fog Computing research are at the forefront of revolutionizing how we process data and deliver services in the age of IoT

Congestion and flow control

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Introduction of Congestion and Flow Control :

Congestion and flow control are fundamental aspects of network management, critical for ensuring efficient and reliable data transmission in modern computer networks. Research in this field is dedicated to developing strategies, protocols, and technologies that prevent network congestion, manage traffic flows, and optimize data delivery.

 

TCP Congestion Control Algorithms:

Investigating and designing new congestion control algorithms for the Transmission Control Protocol (TCP) to improve network efficiency and fairness.

Quality of Service (QoS) in Congestion Control:

Researching QoS-aware congestion control mechanisms that prioritize specific types of traffic, such AsĀ  real-time multimedia, to ensure a consistent user experience.

Network Traffic Modeling:

Developing models and simulations to predict and analyze network congestion, enabling proactiveĀ  congestion manegement stretegies.

Flow-based Congestion Control:

Exploring flow-level congestion control techniques that manage traffie based on specific application flows Rather than individual packets, optimizing resource allocation.

Congestion Control in Software-Defined Networking (SDN):

Adapting congestion control mechanismse to SDN architectures, where network resourcesĀ  can be dynamically allacated and managde using centralized controllers.

Communication Network Protocols
Introduction of Communication Network Protocols : Communication Network Protocols research plays a pivotal role in shaping the ever-evolving landscape of modern telecommunications. It focuses on designing, analyzing, and optimizing protocols
New Design Contributions on All Protocol Layers Except the Physical Layer
Introduction of New Design Contributions on All Protocol Layers Except the Physical Layer : New Design Contributions on All Protocol Layers Except the Physical Layer research is at the forefront
Emerging Trends
Introduction of Emerging Trends: Emerging trends are the compass guiding us through the ever-evolving landscape of technology, business, and society. In a world marked by rapid change and innovation, these
Network virtualization
Introduction of Network Virtualization : Network virtualization is a burgeoning field of research that has revolutionized the way we conceptualize and manage computer networks. It involves the abstraction and decoupling
Performance Analysis
Introduction of Performance Analysis : Performance Analysis research plays a pivotal role in optimizing systems, applications, and processes across various domains. This dynamic field is dedicated to assessing, measuring, and
Agri-Tech Apps
Introduction of Agri-Tech Apps : Agri-Tech Apps research represents a pioneering frontier in agriculture, harnessing the power of digital technology to enhance productivity, sustainability, and efficiency in farming practices. This
Green Networking
Introduction of Green Networking : Green Networking research is at the forefront of the technology landscape, offering innovative solutions to address the environmental impact of modern network infrastructures. It is
Sensor Networks
Introduction of Sensor Networks : Sensor Networks research represents a dynamic and multidisciplinary field at the intersection of computer science, electronics, and telecommunications. It revolves around the deployment of a
Communication Theory
  Introduction of Communication Theory: Communication Theory research lies at the heart of our understanding of how information is transmitted, received, and interpreted in various contexts. This multidisciplinary field delves
Edge and Fog Computing
Introduction of Edge and Fog Computing : Edge and Fog Computing research are at the forefront of revolutionizing how we process data and deliver services in the age of IoT