Tamirat Tafese | Management | Best Researcher Award

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Mr. Tamirat Tafese, Management, Best Researcher Award

Tamirat Tafese at Mizan Tepi University, Ethiopia

Mr. Tamirat Tafese is a dedicated professional with a strong educational background and leadership experience. He obtained his BA Degree in Management from Mizan Tepi University in 2018, followed by an MBA/Masters of Business Administration from Arbaminch University, School of Graduate Studies, specializing in Management in 2021. Currently, he serves as the Continuing and Distance Education Coordinator at the College of Business and Economics, Mizan-Tepi University, a position he has held since October 2023. With proficient computer skills and expertise in software applications such as Microsoft Office and statistical analysis tools like SPSS, STATA, EViews, and SEM, Mr. Tafese brings a wealth of knowledge to his role. Fluent in English, Amharic, and Wolaitegna, he effectively communicates across diverse linguistic contexts. His commitment to excellence and strong leadership abilities make him a valuable asset to his institution.

Profile:

Education:

MBA/Masters of Business Administration

  • Institution: Arbaminch University, School of Graduate Studies
  • Department: Management
  • Duration: 2020 – 2021

BA Degree in Management

  • Institution: Mizan Tepi University
  • Duration: 2016 – 2018
Professional Experience:

Mr. Tamirat Tafese has served as the Continuing and Distance Education Coordinator at the College of Business and Economics, Mizan-Tepi University, since October 2023. In this role, he oversees the coordination and management of continuing education programs, as well as the implementation of distance learning initiatives. His responsibilities include facilitating the development and delivery of courses, managing administrative tasks associated with distance education, and fostering effective communication among faculty, staff, and students. Through his leadership and dedication, Mr. Tafese plays a vital role in advancing the educational objectives of the institution and supporting the diverse learning needs of its stakeholders.

Research Interest:

Mr. Tamirat Tafese’s research interests likely revolve around various facets of management and education. With his background in management studies and current role as the Continuing and Distance Education Coordinator, his research interests may include exploring innovative approaches to organizational leadership, strategies for enhancing organizational effectiveness, and the dynamics of distance learning and continuing education. Specifically, he might be interested in investigating topics such as leadership styles, organizational culture, employee motivation, strategic management practices, and the impact of technology on education delivery. Additionally, he may have a keen interest in exploring best practices for online learning, instructional design methodologies, and factors influencing student engagement and success in virtual learning environments. Through his research endeavors, Mr. Tafese likely aims to contribute valuable insights to the fields of management and education, ultimately striving to improve organizational performance and enhance learning outcomes.

Publication Top Noted:

Title: The Effect of Human Resource Development Practice on Employee Performance with the Mediating Role of Job Satisfaction among Mizan Tepi Universityā€™s Academic Staff in Southwestern Ethiopia

  • Journal: Heliyon
  • Date: April 2024
  • DOI: 10.1016/j.heliyon.2024.e29821
  • Author: Tamirat Tafese Keltu

Alti Adel | Image Security | Best Researcher Award

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Assoc Prof. Alti Adel, Image Security, Best Researcher Award

Associate Professor at University of SETIF – 1, Algeria

Dr. Adel Alti is an Associate Professor specializing in Semantic-Based Automatic Generation of Reconfigurable Distributed Mobile Applications in Pervasive Environments, Medical Data Protection Using Blind Watermarking Technique, Security on Digital Images, Multimedia Document Adaptation Processes, and Smart Social Adaptation Platforms. He has authored several book chapters and research papers in these areas.

Profile:

Professional Experience:

Dr. Adel Alti has professional experience as an Associate Professor specializing in Semantic-Based Automatic Generation of Reconfigurable Distributed Mobile Applications in Pervasive Environments, Medical Data Protection Using Blind Watermarking Technique, Security on Digital Images, Multimedia Document Adaptation Processes, and Smart Social Adaptation Platforms.

Research Interest:

Dr. Adel Alti’s research interests include Semantic-Based Automatic Generation of Reconfigurable Distributed Mobile Applications in Pervasive Environments, Medical Data Protection Using Blind Watermarking Technique, Security on Digital Images, Multimedia Document Adaptation Processes, and Smart Social Adaptation Platforms.

Publication Top Noted:

Ā A new blind medical image watermarking based on weber descriptors and Arnold chaotic map
  • Auteurs: A. Soualmi, A. Alti, L. Laouamer
  • Journal: Arabian Journal for Science and Engineering
  • Volume: 43
  • NumĆ©ro: 12
  • Pages: 7893-7905
  • AnnĆ©e: 2018

Autonomic semantic-based context-aware platform for mobile applications in pervasive environments

  • Auteurs: A. Alti, A. Lakehal, S. Laborie, P. Roose
  • Journal: Future Internet
  • Volume: 8
  • NumĆ©ro: 4
  • Pages: 48
  • AnnĆ©e: 2016

Blockchain based context-aware CP-ABE schema for Internet of Medical Things security

  • Auteurs: B. Annane, A. Alti, A. Lakehal
  • Journal: Array
  • Volume: 14
  • Pages: 100150
  • AnnĆ©e: 2022

Integrating software architecture concepts into the mda platform with uml profile

  • Auteurs: A. Alti, T. Khammaci, A. Smeda
  • Journal: Model-Driven Engineering of Information Systems: Principles, Techniques, and Applications
  • AnnĆ©e: 2014

A novel blind medical image watermarking scheme based on Schur triangulation and chaotic sequence

  • Auteurs: A. Soualmi, A. Alti, L. Laouamer
  • Journal: Concurrency and Computation: Practice and Experience
  • Volume: 34
  • NumĆ©ro: 1
  • Identifiant: e6480
  • AnnĆ©e: 2022

Abdallah Soualmi | Cryptography | Best Researcher Award

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Dr. Abdallah Soualmi, Cryptography, Best Researcher Award

Doctorate at University Ferhat abbas setif 1, Algeria

Dr. Abdallah Soualmi completed his education with a Bachelor’s degree in Computer Science in June 2014, followed by a Master’s degree in Networks and Distributed Systems in June 2016. He achieved a Ph.D. in Machine Learning in May 2021, specializing in the protection of medical content using watermarking and cryptography.

Profile:

Education:

Dr. Abdallah Soualmi completed his Bachelor’s degree in Computer Science in June 2014, followed by a Master’s degree in Networks and Distributed Systems in June 2016. He achieved his Ph.D. in Machine Learning in May 2021, specializing in the protection of medical content using watermarking and cryptography.

Professional Experience:

Dr. Abdallah Soualmi’s professional experience spans academia and research, focusing on machine learning, data security, and cryptography. He began his career as a Research Fellow and Ph.D. Student at UFAS1 University, actively involved in cutting-edge research from September 30, 2016, to May 4, 2021. His work during this period contributed significantly to the fields of medical data security, cryptography, steganography, watermarking, data authenticity, authorship proofing, and data sharing monitoring. After completing his Ph.D., Dr. Soualmi transitioned to an academic role, initially as an Assistant Teacher at Cuillizi University from September 26, 2021, to September 26, 2022. He then progressed to become an Associate Lecturer at the same university, starting from September 26, 2022, until the present. In these roles, he has been instrumental in shaping the educational journey of students, imparting his knowledge in machine learning and computer science. Throughout his career, Dr. Soualmi has demonstrated a strong commitment to research excellence and academic development, with a focus on leveraging advanced technologies for enhancing data security and integrity. His contributions in both academia and research highlight his expertise and dedication to advancing the frontiers of machine learning and data protection.

Research Interest:

Dr. Abdallah Soualmi’s research interests are centered around machine learning, data security, and cryptography, with a particular focus on applications in medical data protection. He is passionate about exploring innovative approaches to ensure the security and integrity of sensitive medical information, employing techniques such as cryptography, steganography, watermarking, and data authenticity verification. Dr. Soualmi is also interested in data sharing monitoring mechanisms to enhance privacy and prevent unauthorized access to medical data. His research aims to contribute to the development of robust and reliable solutions for safeguarding healthcare information in an increasingly digital and interconnected world.

Publication Top Noted:

A new blind medical image watermarking based on weber descriptors and Arnold chaotic map

  • Authors: A Soualmi, A Alti, L Laouamer
  • Journal: Arabian Journal for Science and Engineering
  • Volume: 43
  • Issue: 12
  • Pages: 7893-7905
  • Citations: 43
  • Year: 2018

A novel blind medical image watermarking scheme based on Schur triangulation and chaotic sequence

  • Authors: A Soualmi, A Alti, L Laouamer
  • Journal: Concurrency and Computation: Practice and Experience
  • Volume: 34
  • Issue: 1
  • Pages: e6480
  • Citations: 20
  • Year: 2022

A novel blind watermarking approach for medical image authentication using MinEigen value features

  • Authors: A Soualmi, A Alti, L Laouamer
  • Journal: Multimedia Tools and Applications
  • Volume: 80
  • Issue: 2
  • Pages: 2279-2293
  • Citations: 17
  • Year: 2021

An imperceptible watermarking scheme for medical image tamper detection

  • Authors: A Soualmi, A Alti, L Laouamer
  • Journal: International Journal of Information Security and Privacy (IJISP)
  • Volume: 16
  • Issue: 1
  • Pages: 1-18
  • Citations: 16
  • Year: 2022

A blind image watermarking method for personal medical data security

  • Authors: A Soualmi, A Alti, L Laouamer
  • Conference: 2019 International Conference on Networking and Advanced Systems (ICNAS)
  • Pages: 1-5
  • Citations: 10
  • Year: 2019

 

 

Ali Shahidinejad | Key Exchange Protocols | Best Researcher Award

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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 gameā€theoretic perspective

  • Authors: A Shakarami, A Shahidinejad, M Ghobaeiā€Arani
  • Journal: Software: Practice and Experience
  • Citations: 89
  • Year: 2020

Mohamed Benghanem | Photovoltaic Systems | Best Researcher Award

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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

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

Professor atĀ  UniversitĆ© Ferhat ABBAS SĆ©tif 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 SĆ©tif-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 SĆ©tif 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 SĆ©tif-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.Ɓ.
  • 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: 891ā€“900
  • Year: 2023
  • Citations: 5

Functionalized Biochars as Supports for Ru/C Catalysts: Tunable and Efficient Materials for Ī³-Valerolactone Production

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

Selective hydrodeoxygenation of levulinic acid to Ī³-valerolactone over Ru supported on functionalized carbon nanofibers

  • Authors: Bounoukta, C.E., MegĆ­as-Sayago, C., RendĆ³n, N., …, Centeno, M.I., Odriozola, J.A.
  • Journal: Sustainable Energy and Fuels
  • Volume: 7
  • Issue: 3
  • Pages: 857ā€“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., MegĆ­as-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

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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 ā€¦

  • 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

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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 UniversitĆ© de Nantes, France, with a focus on SystĆØme dā€™Information (SI). With a Master’s degree in Image, Informatique et IngĆ©nierie (3I) from the UniversitĆ© de Bourgogne, France, and an IngĆ©nieur dā€™Ć‰tat En Informatique from UniversitĆ© 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 UniversitĆ© de Toulon du Var, UniversitĆ© de Jean Monnet St Etienne, and Ɖcole polytechnique de lā€™UniversitĆ© de Nantes. Currently, he serves as an Enseignant titulaire, Maitre de ConfĆ©rences Classe A in Informatique at the UniversitĆ© 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 dĆ©partement dā€™informatique at UniversitĆ© 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:

UniversitĆ© d’UniversitĆ© Badji Mokhtar-Annaba – AlgĆ©rie:

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

UniversitĆ© de Nantes – France:

  • Doctorat en Informatique (2009-2013) – Specialization: SystĆØme dā€™Information (SI).

UniversitĆ© de Bourgogne – France:

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

UniversitĆ© 08 mai 1945 Guelma – Algeria:

  • IngĆ©nieur dā€™Ć‰tat 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 ConfĆ©rences Classe A in Informatique at the UniversitĆ© 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 UniversitĆ© de Toulon du Var and UniversitĆ© de Jean Monnet St Etienne in France, as well as Ɖcole polytechnique de lā€™UniversitĆ© de Nantes. Prof. Kouahla has also contributed significantly to academic administration as the Chef de dĆ©partement dā€™informatique at UniversitĆ© 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 cloudā€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

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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 naĆÆve 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

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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