Lingrui Kong | Optimization | Best Researcher Award

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Dr. Lingrui Kong | Optimization | Best Researcher Award

Lecturerr at Dalian Maritime University, China

Dr. Lingrui Kong is a distinguished researcher specializing in logistics engineering and management. Born on May 31, 1995, in Hulunbuir, Inner Mongolia, China, she is a member of the Chinese Communist Party. Dr. Kong earned her Ph.D. in Engineering from Dalian Maritime University, focusing on logistics engineering and management, where she was a part of the Double First-Class initiative under the 211 Project. Her academic journey also includes a Bachelor of Management in Logistics Management (English Intensive) from the same university, where she graduated with top honors. Dr. Kong’s research interests include the optimization of container terminal operations, feeder vessel scheduling, and logistics system simulation. She has authored several high-impact publications in leading journals, such as the European Journal of Operational Research and Transportation Research Part E. Her work has been recognized with numerous awards, including the 2023 Outstanding Graduate of Dalian City and the 2021 COSCO Shipping Technology Innovation Outstanding Individual award. Dr. Kong has also played a key role in multiple national research projects and has been actively involved in academic activities, presenting her work at international symposiums and contributing as a reviewer for peer-reviewed journals.

Profile:

Education:

Dr. Lingrui Kong holds a Ph.D. in Engineering from Dalian Maritime University, where she specialized in Logistics Engineering and Management as part of the university’s Double First-Class initiative under the 211 Project. She pursued her Ph.D. from September 2019 to June 2023 under the supervision of Professor Mingjun Ji. Prior to her doctoral studies, Dr. Kong completed her Bachelor of Management in Logistics Management (English Intensive) at Dalian Maritime University from September 2013 to June 2017. She graduated with a GPA of 4.1, ranking 3rd in her major, and was guaranteed admission to the graduate program due to her academic excellence.

Professional Experience:

Dr. Lingrui Kong has built a robust professional portfolio through her involvement in significant research projects and leadership roles. As a key participant in National Natural Science Foundation projects, she has contributed to advancements in mechanical scheduling for automated container terminals and the dynamic coordination of feeder vessels and trucks utilizing IoT technologies. Her work in these areas has led to the publication of several influential papers in leading academic journals. In addition to her research roles, Dr. Kong has demonstrated leadership as the project leader for critical transportation planning initiatives, such as the Bus Planning Project for Wangqing County and the Intel Customs Gate and Intersection Traffic Planning Project. In these projects, she played a pivotal role in optimizing transportation systems, collaborating with various stakeholders, and delivering actionable insights that were implemented in urban and industrial contexts. Dr. Kong’s professional experience is further highlighted by her active participation in academic symposiums, where she has presented her research and received accolades, including the Best Research Award at the 6th International Doctoral Symposium on Logistics Information Management and Service Science.

Research Interests:

Dr. Lingrui Kong’s research interests are centered on the optimization of logistics and transportation systems, with a particular focus on container terminal operations and feeder vessel scheduling. Her work delves into the complexities of logistics system simulation, where she explores innovative approaches to enhance the efficiency and effectiveness of terminal operations. Dr. Kong is particularly interested in developing advanced algorithms and optimization models that address challenges in container slot planning, truck scheduling, and automated yard management. Her research aims to contribute to the field by providing practical solutions that improve the operational performance of logistics systems in both academic and industry contexts.

Skills:

Dr. Lingrui Kong possesses a diverse and advanced skill set that supports her research and professional activities in logistics and engineering. She is proficient in programming languages such as C++, Python, and Matlab, which she utilizes to develop complex operations research models and design algorithms. Her expertise extends to operations research modeling, where she applies mathematical and computational techniques to solve optimization problems in logistics. Dr. Kong also demonstrates strong writing skills, enabling her to effectively communicate her research findings through publications and presentations. Additionally, she is highly proficient in MS Office tools, which she leverages for data analysis, report writing, and project management. Her solid English language skills, demonstrated by a CET-6 score of over 550, further enhance her ability to engage with international research communities and contribute to global academic discourse.

Conclution:

Dr. Lingrui Kong’s outstanding academic achievements, impactful research contributions, and recognition within the academic and professional communities make her a highly deserving candidate for the Best Researcher Award. Her work not only advances the field of logistics engineering and management but also demonstrates the practical application of research to solve complex logistical challenges.

Publication Tob Noted:

Integrated Optimization of Multi-Machine Scheduling and Berth Allocation in Automated Ore Terminals

  • Authors: Gao, Z., Ji, M., Kong, L.
  • Published in: Computers and Industrial Engineering
  • Year: 2024
  • Volume: 192
  • Article: 110236
  • Citations: 0

Scheduling of Automated Guided Vehicles for Tandem Quay Cranes in Automated Container Terminals

  • Authors: Kong, L., Ji, M., Yu, A., Gao, Z.
  • Published in: Computers and Operations Research
  • Year: 2024
  • Volume: 163
  • Article: 106505
  • Citations: 3

Scheduling of Automated Ore Terminal Operations Based on Fixed Inflow Rhythm

  • Authors: Gao, Z., Ji, M., Kong, L., Hou, X.
  • Published in: Transportation Research Part E: Logistics and Transportation Review
  • Year: 2024
  • Volume: 182
  • Article: 103411
  • Citations: 1

Financial and Logistical Service Strategy of Third-Party Logistics Enterprises in Cross-Border E-Commerce Environment

  • Authors: Ji, J., Zheng, H., Qi, J., Kong, L., Ji, S.
  • Published in: Sustainability (Switzerland)
  • Year: 2023
  • Volume: 15(8)
  • Article: 6874
  • Citations: 8

An Exact Algorithm for Scheduling Tandem Quay Crane Operations in Container Terminals

  • Authors: Kong, L., Ji, M., Gao, Z.
  • Published in: Transportation Research Part E: Logistics and Transportation Review
  • Year: 2022
  • Volume: 168
  • Article: 102949
  • Citations: 7

Joint Optimization of Container Slot Planning and Truck Scheduling for Tandem Quay Cranes

  • Authors: Kong, L., Ji, M., Gao, Z.
  • Published in: European Journal of Operational Research
  • Year: 2021
  • Volume: 293(1)
  • Pages: 149–166
  • Citations: 12

Integrated Optimization of Feeder Routing and Stowage Planning for Containerships

  • Authors: Ji, M., Kong, L., Guan, Y.
  • Published in: Soft Computing
  • Year: 2021
  • Volume: 25(6)
  • Pages: 4465–4487
  • Citations: 6

Sonia Abdennadher | Blockchain | Best Researcher Award

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Dr. Sonia Abdennadher | Blockchain | Best Researcher Award

Associate Professor at Higher Colleges of Technology, United Arab Emirates

Dr. Sonia Abdennadher is an esteemed academic and researcher with a focus on corporate finance, corporate governance, financial management, and fintech applications. She currently serves as an Associate Professor at the Higher Colleges of Technology in the UAE, where she teaches a diverse range of finance and accounting courses. Dr. Abdennadher earned her Ph.D. in Business Administration with a specialization in Corporate Governance from Paris Saclay University in 2009, where her research centered on the impact of internet voting on corporate governance in French listed companies. Her scholarly work has been published in high-impact journals, contributing significantly to the fields of blockchain technology, corporate social responsibility, and fintech adoption in governance. Beyond her academic contributions, Dr. Abdennadher has held various leadership roles, including positions on promotion committees and as an Applied Research Coordinator, showcasing her dedication to advancing the knowledge and practice of finance and corporate governance through the integration of emerging technologies.

Profile:

Education:

Dr. Sonia Abdennadher holds a Ph.D. in Business Administration with a specialization in Corporate Governance, which she earned in July 2009 from Paris Saclay University (Paris Sud University) in France. Her doctoral research focused on analyzing the roles of new technologies in corporate governance, particularly the implementation of internet voting in shareholders’ general meetings within French listed companies. Paris Saclay University is globally recognized, ranked 15th by the Shanghai World University Rankings and 73rd according to the QS World Rankings 2025. Additionally, Dr. Abdennadher has a Master’s degree in Networks Management and Economics, also from Paris Saclay University, and a Master’s degree in International Finance, Trading, and Capital Markets from ISG Paris Business School. She began her academic journey with a Bachelor of Finance from ISG Tunis Business School in Tunisia. Her diverse educational background reflects her deep expertise in finance, economics, and corporate governance, coupled with a strong emphasis on the integration of technology in financial systems.

Professional Experience:

Dr. Sonia Abdennadher has a distinguished professional background in academia, marked by her significant contributions to teaching and research in finance and accounting. She currently serves as an Associate Professor at the Higher Colleges of Technology (HCT) in the UAE, a position she has held since 2017. At HCT, she teaches a wide array of courses, including Financial Accounting, International Financial Reporting Standards (IFRS), Corporate Finance, and Auditing. Dr. Abdennadher has also taken on leadership roles, such as Chair of the Promotion Committee for Business Faculty members across HCT branches and member of the Higher Faculty Promotion Committee. Additionally, she has served as the Applied Research Coordinator for Al Ain campuses, overseeing interdisciplinary research efforts, and as the Program Coordinator for the Finance Program at Al Ain Men’s Campus. Before joining HCT, Dr. Abdennadher was a tenured Associate Professor at the University of Rouen in France, where she taught advanced courses in accounting and finance and co-led the Master Program in Insurance and Private Asset Management. Her career also includes a role as an Assistant Professor at the Normandy School of Management, where she was instrumental in the development of the Master Program “Manager of Business Information Systems.” Dr. Abdennadher’s early academic appointments include Research and Teaching Assistant positions at the University of Evry and Paris Saclay University, where she taught financial management, auditing, and corporate finance. Throughout her career, she has been actively involved in executive education and the supervision of graduate students, reflecting her dedication to advancing knowledge and practice in her field.

Research Interests:

Dr. Sonia Abdennadher’s research interests are rooted in the fields of corporate finance and governance, with a particular focus on the intersection of technology and financial management. Her work explores the adoption and application of fintech innovations, such as internet voting, blockchain, and artificial intelligence, within corporate governance frameworks. Additionally, she is deeply interested in environmental, social, and governance (ESG) practices and disclosure, investigating how these factors influence organizational performance and sustainability. Dr. Abdennadher’s research also extends to auditing, financial accounting, and reporting, where she examines the impacts of new technologies on the accounting profession and corporate transparency. Her scholarly contributions aim to enhance our understanding of the evolving role of technology in finance and governance, with a particular emphasis on its practical applications in emerging markets and corporate structures.

Skills:

Dr. Sonia Abdennadher possesses a diverse skill set that encompasses both academic and practical expertise in finance and accounting. She is highly proficient in teaching various subjects within these fields, including corporate finance, financial accounting, auditing, and international financial reporting standards (IFRS). Dr. Abdennadher is well-versed in using e-learning platforms and digital tools, such as Blackboard, WileyPLUS, McGraw-Hill Connect, and Pearson MyLab, to enhance the learning experience for her students. Additionally, she is adept at utilizing smart online platforms like Bloomberg, CESIM, MS Teams, Zoom, and Nearpod for course delivery. Her experience extends to executive education, where she has successfully supervised graduate students’ theses and guided their research projects. Dr. Abdennadher’s comprehensive teaching skills, combined with her ability to integrate technology into her pedagogy, make her a valuable educator and researcher in the fields of finance and accounting.

Conclution:

Given her extensive research contributions, robust academic background, and leadership in both teaching and research, Dr. Sonia Abdennadher is highly suitable for the Research for Best Researcher Award. Her work not only advances the academic understanding of corporate governance and fintech but also has significant implications for the practice and implementation of these concepts in real-world financial markets.

Publication Tob Noted:

  • The Effects of Blockchain Technology on the Accounting and Assurance Profession in the UAE: An Exploratory Study
    • Authors: S. Abdennadher, R. Grassa, H. Abdulla, A. Alfalasi
    • Published in: Journal of Financial Reporting and Accounting, 20(1), 53-71
    • Cited by: 59
    • Year: 2022
  • Corporate Social Responsibility Antecedents and Practices as a Path to Enhance Organizational Performance: The Case of Small and Medium-Sized Enterprises in an Emerging Economy
    • Authors: W. Cheffi, C. Malesios, A. Abdel-Maksoud, S. Abdennadher, P. Dey
    • Published in: Corporate Social Responsibility and Environmental Management, 28(6), 1647-1663
    • Cited by: 29
    • Year: 2021
  • Investors’ Mood and Herd Investing: A Quantile-on-Quantile Regression Explanation from Crypto Market
    • Authors: G. Rubbaniy, K. Tee, P. Iren, S. Abdennadher
    • Published in: Finance Research Letters, 47, 102585
    • Cited by: 23
    • Year: 2022
  • The Effectiveness of E-Corporate Governance: An Exploratory Study of Internet Voting at Shareholders’ Annual Meetings in France
    • Authors: S. Abdennadher, W. Cheffi
    • Published in: Corporate Governance: The International Journal of Business in Society, 20(4)
    • Cited by: 14
    • Year: 2020
  • Executives’ Behaviour and Innovation in Corporate Governance: The Case of Internet Voting at Shareholders’ General Meetings in French Listed Companies
    • Authors: W. Cheffi, S. Abdennadher
    • Published in: Journal of Business Ethics, 156, 775-798
    • Cited by: 12
    • Year: 2019
  • L’impact du Web 2.0 sur les organisations
    • Authors: A. David, N. Monomakhoff, A. Hasnaoui, S. Damart, L. Zibara, S.A. Cheffi, et al.
    • Published in: Springer
    • Cited by: 9
    • Year: 2013
  • L’adoption du Vote par Internet aux Assemblées Générales des Actionnaires de Sociétés Cotées en France: Une Perspective Institutionnaliste
    • Authors: S. Abdennadher, W. Cheffi
    • Published in: Systèmes d’information et management, 16(2), 35-71
    • Cited by: 9
    • Year: 2011
  • Feasibility and Exploratory Study of Implementing the Blockchain Technology in the UAE Financial Markets
    • Authors: S. Abdennadher, M. Salem, S.A.S. Alkaabi, A.S. Alshebli
    • Published in: Contemporary Research in Accounting and Finance: Case Studies from the MENA Region
    • Cited by: 8
    • Year: 2022
  • Financial Market Determinants of Dynamic Herding in North-American Energy Market
    • Authors: G. Rubbaniy, S. Ali, S. Abdennadher, C. Siriopoulos
    • Published in: Available at SSRN
    • Cited by: 1
    • Year: 2022
  • Performance Analysis of a Blockchain Process Modeling: Application of Distributed Ledger Technology in Trading, Clearing and Settlement Processes
    • Authors: S. Abdennadher, W. Cheffi, A.H.M. Amin, M. Naveed
    • Published in: Journal of Open Innovation: Technology, Market, and Complexity, 100348
    • Cited by: (Not available)
    • Year: 2024
  • Toward a Smart Corporate Governance Scorecard: A Case Review of the UAE Listed Companies
    • Authors: S. Abdennadher
    • Published in: International Journal of Business Excellence
    • Cited by: (Not available)
    • Year: 2023

 

Yu Yang | Prevention And Control | Excellence in Research

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Dr. Yu Yang | Prevention And Control | Excellence in Research

lecturer at Xihua University, China

Dr. Yu Yang is a dedicated researcher and educator specializing in Geological Engineering with a focus on geohazard risk management and emergency response. He is currently a Lecturer at Xihua University’s School of Emergency Management, where he contributes to advancing knowledge and practices in emergency management. Dr. Yang completed his PhD in Geological Resources and Geological Engineering at Chengdu University of Technology, where he also earned his MSc and BSc degrees. His research expertise spans geohazard risk zoning, emergency management, and the long-term effects of geological hazards. With significant experience as a Technical Manager at Zhaozhi Future Technology and a Technical Research Position at the State Grid Sichuan Electric Power Company, Dr. Yang has applied his skills in remote sensing and environmental monitoring to address critical issues in disaster management. His innovative work is reflected in his publications and patents, showcasing his commitment to advancing geohazard assessment and mitigation technologies.

Profile:

Education:

Dr. Yu Yang completed his education at Chengdu University of Technology, where he pursued a comprehensive academic path in Geological Engineering. He obtained his PhD in Geological Resources and Geological Engineering from the State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, under the mentorship of Prof. Tang Chuan, with an expected graduation date in December 2023. Prior to this, he earned his MSc in Geological Engineering from the same institution, where he continued to work with Prof. Tang Chuan. Dr. Yang began his academic journey with a BSc in Geological Engineering from the School of Environmental and Civil Engineering at Chengdu University of Technology, graduating in July 2014. His education has provided him with a solid foundation in geological sciences and engineering, emphasizing geohazard prevention and management.

Professional Experience:

Dr. Yu Yang has accumulated extensive professional experience in the field of Geological Engineering, emphasizing geohazard risk assessment and emergency management. Currently serving as a Lecturer at Xihua University’s School of Emergency Management since April 2024, he imparts his expertise in emergency management strategies and geological hazard mitigation. Prior to this role, Dr. Yang worked as a Technical Manager at Zhaozhi Future Technology (Chengdu) Co., Ltd. from May 2021 to May 2023, where he focused on integrating remote sensing, risk assessment, and monitoring systems for effective emergency management. He also held a Technical Research position at the State Grid Sichuan Electric Power Company’s Electric Power Research Institute from August 2022 to February 2023, concentrating on dynamic risk zoning and environmental monitoring. Earlier in his career, Dr. Yang worked as an Engineer at the Chengdu Planning and Natural Resources Bureau’s Geological Environment Monitoring Station from July 2017 to May 2021, where he was responsible for geological disaster risk zoning, monitoring, forecasting, and emergency management.

Research Interests:

Dr. Yu Yang’s research interests are centered around geohazard risk assessment and management, with a particular focus on monitoring and mitigating the impacts of geological hazards. His work encompasses the development and application of advanced techniques for geohazard risk zoning, emergency management, and long-term hazard effects. Dr. Yang is keenly interested in the dynamic evolution of geohazards, such as landslides and debris flows, and how engineering interventions can be employed in disaster-prone areas to enhance resilience and safety. His research also explores the integration of remote sensing technologies and risk assessment systems to improve the accuracy of hazard predictions and response strategies.

Skills:

Dr. Yu Yang possesses a robust skill set tailored to the field of geological engineering and hazard management. His technical proficiency includes advanced expertise in remote sensing, risk assessment, and environmental monitoring. Dr. Yang is adept at employing geospatial analysis tools and techniques, such as GIS and remote sensing technologies, to assess and manage geological hazards. He has a strong background in developing and applying systems for dynamic risk zoning and early warning indicators. His skills extend to project management and technical research, reflecting his ability to lead and contribute to complex projects in hazard mitigation and emergency management. Additionally, Dr. Yang is proficient in patent development, having contributed to innovations in geohazard monitoring and risk assessment systems.

Conclution:

Dr. Yu Yang’s extensive background in geological engineering, demonstrated by his educational achievements, diverse work experience, significant research contributions, and patents, positions him as a strong candidate for the Research for Excellence in Research Award. His innovative approach to managing and understanding geohazards through practical applications and advanced research underscores his excellence in the field.

Publication Tob Noted:

 

Mohamed Fadl | Soil Sciences | Best Researcher Award

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Assoc Prof Dr. Mohamed Fadl | Soil Sciences | Best Researcher Award

Associte Professor at National authority for remote sensing and space sciences, Egypt

Assoc. Prof. Dr. Mohamed Fadl is an esteemed academic and researcher in the field of agriculture and environmental sciences. He holds a Bachelor’s degree in Agriculture from Al Azhar University, a Master’s degree from Benha University, and a Ph.D. from Menoufiya University, with a focus on remote sensing and GIS techniques for land and water resource management. Dr. Fadl’s research encompasses a wide range of topics including land reclamation, water resource management, and environmental monitoring. He has led numerous projects related to sustainable development and has been instrumental in assessing the impacts of water scarcity and land use changes in Egypt. In addition to his research, Dr. Fadl teaches advanced courses at Cairo University and Zagazig University and actively contributes as a reviewer for several scientific journals. His extensive expertise and dedication make him a leading figure in his field.

Profile:

Education:

Assoc. Prof. Dr. Mohamed Fadl’s educational background is marked by a series of advanced degrees and specialized training in agriculture and environmental sciences. He earned his Bachelor of Science degree in Agriculture from Al Azhar University, Assiut, Egypt, in 2006, with a focus on Soil and Water Pedology, achieving a general estimation of Very Good (81.8%). He further pursued his studies with a Master of Science degree from Benha University in 2010, where his thesis addressed the pedological changes of the Nile River course and its islands. Dr. Fadl completed his Ph.D. in Agriculture at Menoufiya University in 2015, with a thesis titled “Land and Water Resources Potentiality of East Oweinat Area, Egypt Using Remote Sensing and GIS Techniques.” His advanced education is complemented by scholarship grants and training in remote sensing and spatial analysis from the Academy of Scientific Research and Technology and the National Authority for Remote Sensing and Space Sciences (NARSS).

Professional Experience:

Assoc. Prof. Dr. Mohamed Fadl has a distinguished career in agricultural and environmental research, with significant contributions to both academic and applied fields. His professional experience includes serving as an academic lecturer at various institutions, including the Faculty of Arts at Cairo University and Zagazig University, where he has taught advanced courses in remote sensing and GIS. Dr. Fadl’s research endeavors are extensive, involving key projects with the National Authority for Remote Sensing and Space Sciences (NARSS) on topics such as land evaluation, water resource management, and environmental monitoring. He has been actively involved in governmental and collaborative projects, including land reclamation initiatives and assessments of the impacts of major infrastructure projects like the Ethiopian Renaissance Dam. Additionally, Dr. Fadl has contributed to scientific progress through his roles as a reviewer for numerous reputable journals, reflecting his influence and expertise in the field.

Research Interests:

Assoc. Prof. Dr. Mohamed Fadl’s research interests are centered on the application of remote sensing and GIS techniques to agricultural and environmental management. His work primarily focuses on evaluating land and water resources, assessing the impacts of environmental changes, and developing sustainable land management practices. Dr. Fadl has conducted extensive research on the reclamation of arid and semi-arid lands, monitoring environmental hazards, and analyzing the effects of water scarcity on soil and crop productivity. His projects also explore the integration of machine learning with remote sensing to enhance soil contamination assessments and evaluate agricultural sustainability. Through his research, Dr. Fadl aims to address critical challenges in land use and environmental conservation, contributing to sustainable development and resource management.

Skills:

Assoc. Prof. Dr. Mohamed Fadl possesses a broad range of skills essential for his work in agricultural and environmental sciences. He has advanced proficiency in remote sensing and GIS applications, including extensive experience with ArcGIS, ENVI, and Imagine software. Dr. Fadl is highly skilled in using Microsoft Office tools and educational software, enhancing his teaching and research capabilities. His expertise extends to spatial modeling and data analysis, crucial for evaluating land and water resources. Additionally, he has a solid foundation in environmental science, soil science, and agricultural sustainability. His language skills include fluency in Arabic and proficiency in English, supporting his work in international research and collaboration.

Conclution:

Assoc. Prof. Dr. Mohamed Fadl is a strong candidate for the Research for Best Researcher Award due to his comprehensive educational background, extensive research experience, significant publications, and active involvement in teaching and scientific review. His contributions to land and water resource management, environmental monitoring, and sustainable development underscore his suitability for this prestigious award.

Publication Tob Noted:

Title: Modeling soil quality in Dakahlia Governorate, Egypt using GIS techniques

  • Authors: A.D. Abuzaid
  • Journal: The Egyptian Journal of Remote Sensing and Space Sciences
  • Volume (Issue): 24 (2)
  • Pages: 255-264
  • Cited By: 42
  • Year: 2021

Title: Land degradation vulnerability mapping in a newly-reclaimed desert oasis in a hyper-arid agro-ecosystem using AHP and geospatial techniques

  • Authors: A.S. Abuzaid, M.A.E. AbdelRahman, M.E. Fadl, A. Scopa
  • Journal: Agronomy
  • Volume (Issue): 11 (7)
  • Article Number: 1426
  • Cited By: 38
  • Year: 2021

Title: Accumulation of Potentially Toxic Metals in Egyptian Alluvial Soils, Berseem Clover (Trifolium alexandrinum L.), and Groundwater after Long-Term Wastewater …

  • Authors: A.S. Abuzaid, H.S. Jahin, A.A. Asaad, M.E. Fadl, M.A.E. AbdelRahman, A. Scopa
  • Journal: Agriculture
  • Volume (Issue): 11 (8)
  • Article Number: 713
  • Cited By: 26
  • Year: 2021

Title: Mapping potential risks of long-term wastewater irrigation in alluvial soils, Egypt

  • Author: A.S. Fadl
  • Journal: Arabian Journal of Geosciences
  • Volume (Issue): 11 (15)
  • Cited By: 25
  • Year: 2018

Title: Assessment of land suitability and water requirements for different crops in Dakhla Oasis, Western desert, Egypt

  • Authors: M.E. Fadl, A.S. Abuzaid
  • Journal: International Journal of Plant & Soil Science
  • Volume (Issue): 16 (6)
  • Pages: 1-16
  • Cited By: 25
  • Year: 2017

Title: Evaluation of desertification severity in El-Farafra Oasis, Western Desert of Egypt: Application of modified MEDALUS approach using wind erosion index and factor analysis

  • Authors: M.E. Fadl, A.S. Abuzaid, M.A.E. AbdelRahman, A. Biswas
  • Journal: Land
  • Volume (Issue): 11 (1)
  • Article Number: 54
  • Cited By: 20
  • Year: 2021

Title: Agricultural sustainability evaluation of the new reclaimed soils at Dairut Area, Assiut, Egypt using GIS modeling

  • Authors: Y.A. Sayed, M.E. Fadl
  • Journal: The Egyptian Journal of Remote Sensing and Space Science
  • Volume (Issue): 24 (3)
  • Pages: 707-719
  • Cited By: 20
  • Year: 2021

Title: Modeling and Assessing Potential Soil Erosion Hazards Using USLE and Wind Erosion Models in Integration with GIS Techniques: Dakhla Oasis, Egypt

  • Authors: F.J.G.N.M.E.F. Salman A. H. Selmy, Salah H. Abd Al-Aziz, Raimundo Jiménez-Ballesta
  • Journal: Agriculture
  • Volume (Issue): 11 (11)
  • Cited By: 19
  • Year: 2021

Title: Soil Quality Assessment Using Multivariate Approaches: A Case Study of the Dakhla Oasis Arid Lands

  • Authors: F.J.G.N.M.E.F. Salman A. H. Selmy, Salah H. Abd Al-Aziz, Raimundo Jiménez-Ballesta
  • Journal: Land
  • Volume (Issue): 10 (10)
  • Cited By: 17
  • Year: 2021

Title: Effect of Marginal-Quality Irrigation on Accumulation of some Heavy Metals (Mn, Pb, and Zn) in TypicTorripsamment Soils and Food Crops

  • Authors: A.S. Abuzaid, M.A. Abdel-Salam, A.F. Ahmad, H.A. Fathy, M.E. Fadl, A. Scopa
  • Journal: Sustainability
  • Volume (Issue): 14 (3)
  • Article Number: 1067
  • Cited By: 15
  • Year: 2022

Title: Land Resources Evaluation for Sustainable Agriculture in El-Qusiya Area, Assiut, Egypt

  • Author: M.E.F.Y.A.A. Sayed
  • Journal: Egyptian Journal of Soil Science
  • Volume (Issue): 60 (3)
  • Pages: 289-302
  • Cited By: 13
  • Year: 2020

 

Göktuğ Öcal | Network Systems | Best Researcher Award

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Mr. Göktuğ Öcal | Network Systems | Best Researcher Award

Göktuğ Öcal at Bogazici University, Turkey

Mr. Göktuğ Öcal is a skilled data scientist and computer engineer with expertise in machine learning, time series forecasting, and AI-driven solutions. He holds an MSc in Computer Engineering from Boğaziçi University, where he focused on developing robust time series forecasting models and explored federated neural architecture search. His academic journey began with a BSc in Control and Automation Engineering from Istanbul Technical University, where he volunteered in AI research and led student robotics initiatives. In his professional career, Mr. Öcal has made significant contributions to the air conditioning, automotive, and energy management industries by developing predictive maintenance systems, driver evaluation algorithms, and energy-saving models. His technical proficiency includes Python, TensorFlow, SQL, and cloud platforms, enabling him to build scalable machine learning solutions. Beyond his professional work, he has a deep interest in cinema, communication, and graphical design, which he pursues through personal projects and blogging.

Profile:

Education:

Mr. Göktuğ Öcal holds an MSc in Computer Engineering from Boğaziçi University, Istanbul, where he studied from 2021 to 2024. His coursework included advanced subjects such as Deep Learning, Testing and Verification Techniques in Machine Learning, Natural Language Processing, Cloud Computing, and Operating Systems. During his studies, he conducted research on “Robust Time Series Forecasting Models against Adversarial Attacks,” which led to the development of LSTM-based robust forecasting models. His thesis focused on “Network-Aware Federated Neural Architecture Search,” showcasing his deep engagement with cutting developmments in the field. Before this, Mr. Öcal completed his BSc in Control and Automation Engineering from Istanbul Technical University in 2020. During his undergraduate studies, he volunteered at the Artificial Intelligence and Intelligent Systems Laboratory (AI2S) for two years, where he focused on robotics and AI-based time-series forecasting models. He also actively contributed to the OTOKON student club, where he organized robotics and coding courses and events.

Professional Experience:

Mr. Göktuğ Öcal has a rich professional background in data science, with experience spanning several key industries. In 2024, he worked as a Data Scientist at Daikin Europe, where he developed machine learning-powered predictive maintenance systems for residential air conditioning units and implemented MLOps pipelines using AWS and Databricks. From 2022 to 2024, he was a Data Scientist at Ford Otosan, a leading automotive manufacturer, where he created a driver evaluation algorithm using Python and PySpark to assess and train fleet drivers. He also served as a Scrum Master for the Data Analytics Center of Excellence (CoE), overseeing the development, coding, and deployment processes. Earlier, from 2020 to 2022, Mr. Öcal was a Data Scientist at Reengen, a company specializing in sustainability and energy management. There, he developed a time series analysis algorithm that identified energy-saving opportunities during non-operating hours for retail businesses, leading to an average energy cost reduction of 7%. He also enhanced operational efficiency by reducing the workload of customer teams by 40% through the implementation of advanced energy analysis tools and anomaly detection algorithms for IoT devices. His career began as a Data Science Assistant at Reengen, where he developed LSTM-based time series forecasting models to predict energy consumption across various sectors with a 6% error margin.

Research Interests:

Mr. Göktuğ Öcal’s research interests lie at the intersection of machine learning, time series forecasting, and AI-driven optimization techniques. He is particularly focused on developing robust models that can withstand adversarial attacks, as demonstrated by his work on LSTM-based time series forecasting. His interests also extend to federated learning, where he has explored network-aware federated neural architecture search to optimize distributed machine learning models. Additionally, Mr. Öcal is keen on advancing predictive maintenance systems, anomaly detection algorithms, and energy management solutions through the application of data science and machine learning methodologies. His work reflects a strong commitment to bridging the gap between theoretical research and practical, industry-relevant applications.

Skills:

Mr. Göktuğ Öcal is proficient in a diverse array of technical skills that are essential for data science and machine learning. He is highly skilled in programming languages such as Python, SQL, C++, MATLAB, and Java, and has extensive experience with machine learning frameworks like TensorFlow and Scikit-Learn. His expertise extends to big data and distributed computing, where he utilizes tools like PySpark and Databricks for processing large datasets. Mr. Öcal is also adept at time series analysis, statistical modeling, and implementing software development practices such as object-oriented programming and MLOps. His cloud computing skills are highlighted by his experience with AWS, and he is well-versed in using development tools like Git, Docker, Jupyter, and VS Code. Additionally, he holds certifications in Big Data with PySpark and SQL Fundamentals from Datacamp, and in Machine Learning from Stanford University on Coursera. Proficient in English, Mr. Öcal achieved an IELTS score of 7.0/9.0 in 2021, further demonstrating his strong communication abilities.

Conclution:

Given his solid academic background, demonstrated research abilities, and impact-driven professional experience, Mr. Göktuğ Öcal would be a compelling candidate for a research-focused award, particularly if the focus is on practical applications in data science and machine learning.

Publication Tob Noted:

Title: Network-aware federated neural architecture search

  • Authors: G. Öcal, A. Özgövde
  • Published In: Future Generation Computer Systems
  • Year: 2024

Ezekiel Agbon | Cybersecurity | Best Researcher Award

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Dr. Ezekiel Agbon | Cybersecurity | Best Researcher Award

Lecturer at the Department of Electronics and Telecommunications Engineering ABU Zaria at Nigeria

Dr. Ezekiel Agbon is a dedicated academic and researcher specializing in telecommunications engineering. He earned his PhD in Telecommunications Engineering from Ahmadu Bello University, Zaria, in 2022, following his MSc in Telecommunication Engineering (2018) and B.Eng. in Electrical and Electronics Engineering (2012) from the same institution. Currently serving as a Lecturer in the Department of Electronics and Telecommunications Engineering at Ahmadu Bello University since 2018, Dr. Agbon is involved in both undergraduate and postgraduate teaching, covering a wide range of courses in his field. His research focuses on innovative solutions to real-world challenges, exemplified by his work on a microcontroller-based wireless pulse oximeter and an electronic hand sanitizer dispenser during the COVID-19 pandemic. Beyond his academic and research duties, Dr. Agbon is actively involved in various administrative roles within his department and is a registered member of the Council for the Regulation of Engineering in Nigeria (COREN). His contributions to academia, research, and the engineering community make him a well-respected figure in his field.

Profile:

Education:

Dr. Ezekiel Agbon has an impressive educational background in the field of telecommunications and engineering. He earned his PhD in Telecommunications Engineering from Ahmadu Bello University, Zaria, in 2022, where he focused on advancing his expertise in this specialized area. Prior to his doctoral studies, he completed a Master of Science (MSc) in Telecommunication Engineering from the same university in 2018, building a strong foundation in both theoretical and practical aspects of telecommunications. Dr. Agbon’s academic journey began with a Bachelor of Engineering (B.Eng.) in Electrical and Electronics Engineering, also from Ahmadu Bello University, Zaria, in 2012. His early education was completed at Command Day Secondary School in Bauchi, Bauchi State, where he obtained his Senior Secondary School Certificate in 2006. This progressive academic trajectory reflects Dr. Agbon’s dedication to his field and his commitment to continuous learning and professional development.

Professional Experience:

Dr. Ezekiel Agbon has accumulated substantial professional experience in the field of telecommunications engineering. Since 2018, he has served as a Lecturer in the Department of Electronics and Telecommunications Engineering at Ahmadu Bello University, Zaria, where he has been instrumental in delivering undergraduate and postgraduate courses such as Digital Electronics I, Reliability and Maintainability, and Wireless Communication. Prior to this role, Dr. Agbon gained valuable research experience as a Research Assistant at Christ School, Ado Ekiti, Nigeria, in 2015. His professional experience is marked by his active involvement in developing innovative technologies, including a microcontroller-based wireless pulse oximeter and an electronic hand sanitizer dispenser in response to the COVID-19 pandemic. In addition to his teaching and research roles, Dr. Agbon has undertaken various administrative responsibilities, including serving as the Postgraduate Seminar Coordinator and Welfare Coordinator within his department. His extensive experience underscores his commitment to advancing knowledge and contributing to the engineering profession.

Research Interests:

Dr. Ezekiel Agbon’s research interests are primarily centered around telecommunications engineering, with a focus on developing practical solutions to contemporary challenges. His work includes innovative projects such as the creation of a microcontroller-based wireless pulse oximeter and an electronic hand sanitizer dispenser, highlighting his commitment to addressing real-world problems through technological advancements. Dr. Agbon is particularly interested in the integration of microcontroller technology with wireless communication systems to enhance healthcare and safety applications. His research also explores the development of efficient electronic systems and devices, reflecting his dedication to advancing the field of telecommunications and improving everyday technologies.

Skills:

Dr. Ezekiel Agbon possesses a robust set of skills in telecommunications engineering and related fields. His technical expertise includes advanced knowledge in microcontroller programming, wireless communication systems, and electronic system design. Dr. Agbon is skilled in developing practical solutions such as pulse oximeters and hand sanitizer dispensers, showcasing his ability to translate theoretical concepts into functional, real-world applications. He also demonstrates proficiency in digital electronics, reliability and maintainability of electronic systems, and the integration of wireless technologies. His experience in teaching both undergraduate and postgraduate students further highlights his strong communication skills and ability to convey complex technical concepts effectively. Dr. Agbon’s administrative roles, including coordinating postgraduate seminars and managing welfare activities, underscore his organizational and leadership abilities, enhancing his multifaceted skill set.

Conclution:

Dr. Ezekiel Agbon’s extensive academic qualifications, combined with his research innovations, professional contributions, and international engagement, make him a strong candidate for the Research for Best Researcher Award. His work exemplifies the qualities of a distinguished researcher who is not only advancing his field but also contributing to society at large.

Publication Tob Noted:

  • Hop-count Aware Wireless Body Area Network for Efficient Data Transmission
    • Authors: M. Iyobhebhe, A.D. Usman, A.M. Tekanyi, E.E. Agbon
    • Published in: Indonesian Journal of Computing, Engineering, and Design (IJOCED), 4(1), 47-56
    • Cited by: 7
    • Year: 2022
  • Enhancing Throughput Cluster-Based WBAN Using TDMA and CCA Scheme
    • Authors: M. Iyobhebhe, A.S. Yaro, H. Bello, E.E. Agbon, M.D. Al-Mustapha, M.T. Kabir
    • Published in: Pakistan Journal of Engineering and Technology, 5(3), 7-12
    • Cited by: 4
    • Year: 2022
  • A Review on Technology-Based Contact Tracing Solutions and Its Application in Developing Countries
    • Authors: A.O. Adikpe, A.S. Yaro, A.M.S. Tekanyi, M.D. Almustapha, E.E. Agbon, O.A. Ayofe
    • Published in: Jordan Journal of Electrical Engineering, 8(1), 48-64
    • Cited by: 3
    • Year: 2022
  • Development of an Android-Based, Voice-Controlled Autonomous Robotic Vehicle
    • Authors: A. Umar, M.A. Giwa, A.Y. Kassim, M.U. Ilyasu, I. Abdulwahab, E.E. Agbon, et al.
    • Published in: Engineering Proceedings, 58(1), 48
    • Cited by: 2
    • Year: 2023
  • Quick Response Code Technology-Based Contact Tracing Solutions to Mitigate Epidemic Outbreaks: A Review
    • Authors: A.O. Adikpe, E.E. Agbon, A.M. Giwa, H.T. Adeyemo, M.A. Adegoke, F.C. Njoku
    • Published in: Pakistan Journal of Engineering and Technology, 6(3), 34-43
    • Cited by: 1
    • Year: 2023
  • Coverage Probability Enhancement for Better Network Experience of Cell Edge Users in Hierarchical Heterogeneous Networks Using Coordinate Aided Transmission Beamforming Model
    • Authors: E.E. Agbon, A.D. Usman, M. Umar, A.T. Utev, H. Bello
    • Published in: Nigerian Journal of Engineering, 29(2), 24-24
    • Cited by: 1
    • Year: 2022
  • Enhancing the Spectral Efficiency of an Uncorrelated Nakagami-m Fading Channel Using a Modified Selection Combining Diversity Scheme
    • Authors: K.A. Ibrahim, A.D. Usman, S.M. Sani, H. Bello, E.E. Agbon
    • Published in: ATBU Journal of Science, Technology and Education, 9(3), 389-401
    • Cited by: 1
    • Year: 2021
  • Optimization Approach for Throughput and Lifetime Maximization of Energy Aware MANET
    • Authors: E.E. Agbon, M.G. Awe, H.I. Yarima, F.C. Njoku, I. Rahman
    • Published in: Computing & Information Systems, 23(1)
    • Cited by: 1
    • Year: 2019
  • Throughput Efficient AODV for Improving QoS Routing in Energy Aware Mobile Adhoc Network
    • Authors: A.D. Usman, S.M. Sulieman, E.E. Agbon, W.A. W.F.
    • Published in: Covenant Journal of Informatics and Communication Technology
    • Cited by: 1
    • Year: 2018
  • Facial Expression Recognition: A Review of Advanced Machine Learning Techniques
    • Authors: F.A. Jibrin, E.E. Agbon, O. Elvis, I. Yau, S.A. Mikail, M.D. Almustapha, et al.
    • Published in: ATBU Journal of Science, Technology and Education, 12(2), 645-651
    • Cited by: (Not available)
    • Year: 2024
  • Mitigating the Event and Effect of Energy Holes in Multi-hop Wireless Sensor Networks Using an Ultra-Low Power Wake-Up Receiver and an Energy Scheduling Technique
    • Authors: H. Odedokun, A. Usman, U.F. Abdu-Aguye, E.E. Agbon, A.Y. Kassim, et al.
    • Published in: Covenant Journal of Engineering Technology
    • Cited by: (Not available)
    • Year: 2024

Djamel Djenouri | Cybersecurity | Best Researcher Award

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Dr. Djamel Djenouri | Cybersecurity | Best Researcher Award

Associate Professor at University of the West of England, Bristol, United Kingdom

Dr. Djamel Djenouri is an Associate Professor in the Department of Computer Science and Creative Technology at the University of The West of England (UWE) in Bristol, UK. He is an ACM Senior Member, a Fellow of the UK Higher Education Academy, and a member of the Arab German Academy (AGYA). Dr. Djenouri holds a Doctorate in Computer Science and Engineering from the University of Science and Technology Houari Boumediene (USTHB) in Algiers, Algeria. His professional background includes significant roles as a Senior Research Scientist and Deputy Director at the CERIST Research Centre in Algeria. He has also worked as a Postdoctoral Fellow at NTNU in Norway and contributed to research projects in Germany and Italy. His research interests encompass wireless networks, Internet of Things (IoT), cybersecurity, and machine learning for smart environments. Dr. Djenouri has supervised numerous graduate theses and projects, reflecting his commitment to advancing research and education in his field.

Profile:

Education:

Dr. Djamel Djenouri’s academic journey is distinguished by his extensive education and specialized training. He earned his Doctorate in Computer Science and Engineering from the University of Science and Technology Houari Boumediene (USTHB) in Algiers, Algeria, from 2003 to 2007. Prior to this, he completed a “Magister” in Computer Science and Engineering at USTHB, graduating in 2003. His foundational education includes an Engineer degree in Computer Science and Engineering from USTHB, awarded in 2001. Dr. Djenouri further advanced his expertise with a Postdoctoral Fellowship in the ERCIM Program at NTNU in Trondheim, Norway, from 2008 to 2009. In 2020-2021, he achieved a Postgraduate Certificate in Academic and Professional Practice with distinction from the University of The West of England (UWE) in Bristol, UK.

Professional Experience:

Dr. Djamel Djenouri is currently an Associate Professor in the Department of Computer Science and Creative Technology at the University of the West of England (UWE), Bristol, UK. He has a distinguished career in research and academia, having previously served as a Senior Research Scientist and Deputy Director at CERIST Research Centre in Algiers, Algeria, where he was promoted to the highest research level, “Director of Research,” by a highly selective national committee. Dr. Djenouri also held adjunct professorships at Blida University and the University of Sciences and Technology Saad Dahleb, both in Algeria. His earlier roles include Research Assistant at CERIST, Postdoctoral Fellow at NTNU in Norway, and various teaching positions at USTHB and Blida University. His extensive experience spans both research and educational roles, demonstrating his significant contributions to the field of computer science and engineering.

Research Interests:

Dr. Djamel Djenouri’s research interests encompass a broad range of topics in computer science and engineering. His work focuses on wireless networks, particularly wireless sensor networks (WSN), with an emphasis on energy-efficient models, communication protocols, distributed algorithms, and quality of service. He is also deeply engaged in the Internet of Things (IoT), cyber-physical systems, and cybersecurity, exploring effective integration of IoT, sensors, and wireless technologies in smart environments such as smart buildings, smart health, and smart transportation. Additionally, Dr. Djenouri investigates mobile networks and ubiquitous computing, including protocols for mobile networking and distributed algorithms. His research further extends to the application of machine learning and data mining for analyzing sensor data in smart environments.

Skills:

Dr. Djamel Djenouri possesses a diverse set of skills in the field of computer science and engineering. His expertise includes designing and optimizing energy-efficient models and communication protocols for wireless sensor networks (WSN), as well as developing distributed algorithms to enhance system performance. He is proficient in integrating Internet of Things (IoT) technologies within smart environments and applications, with a strong focus on cybersecurity to safeguard IoT systems. Dr. Djenouri also excels in mobile networks and ubiquitous computing, applying his knowledge to improve networking protocols and develop robust applications. Additionally, he is skilled in applying machine learning and data mining techniques for analyzing and interpreting sensor data, contributing to advancements in smart environments.

Conclution:

Dr. Djamel Djenouri is an exemplary candidate for the Research for Best Researcher Award. His outstanding academic background, substantial research contributions, and significant professional achievements make him a distinguished figure in his field.

Publication Tob Noted:

  • Security Issues of Mobile Ad Hoc and Sensor Networks
    • Authors: D. Djenouri, N. Khelladi, L. Badache
    • Published in: IEEE Communications Surveys & Tutorials, 7(4), 2-28
    • Cited by: 744
    • Year: 2005
  • Congestion Control Protocols in Wireless Sensor Networks: A Survey
    • Authors: M.A. Kafi, D. Djenouri, J. Ben-Othman, N. Badache
    • Published in: IEEE Communications Surveys & Tutorials, 16(3), 1369-1390
    • Cited by: 231
    • Year: 2014
  • Machine Learning for Smart Building Applications: Review and Taxonomy
    • Authors: D. Djenouri, R. Laidi, Y. Djenouri, I. Balasingham
    • Published in: ACM Computing Surveys (CSUR), 52(2), 1-36
    • Cited by: 157
    • Year: 2019
  • A Study of Wireless Sensor Networks for Urban Traffic Monitoring: Applications and Architectures
    • Authors: M.A. Kafi, Y. Challal, D. Djenouri, M. Doudou, A. Bouabdallah, N. Badache
    • Published in: Procedia Computer Science, 19, 617-626
    • Cited by: 156
    • Year: 2013
  • Survey on Latency Issues of Asynchronous MAC Protocols in Delay-Sensitive Wireless Sensor Networks
    • Authors: M. Doudou, D. Djenouri, N. Badache
    • Published in: IEEE Communications Surveys & Tutorials, 15(2), 528-550
    • Cited by: 149
    • Year: 2013
  • MAC Protocols with Wake-up Radio for Wireless Sensor Networks: A Review
    • Authors: F.Z. Djiroun, D. Djenouri
    • Published in: IEEE Surveys and Tutorials
    • Cited by: 143
    • Year: 2016
  • A Survey on Urban Traffic Anomalies Detection Algorithms
    • Authors: Y. Djenouri, A. Belhadi, J.C.W. Lin, D. Djenouri, A. Cano
    • Published in: IEEE Access, 7, 12192-12205
    • Cited by: 135
    • Year: 2019
  • Traffic-Differentiation-Based Modular QoS Localized Routing for Wireless Sensor Networks
    • Authors: D. Djenouri, I. Balasingham
    • Published in: IEEE Transactions on Mobile Computing, 10(6), 797-809
    • Cited by: 130
    • Year: 2010
  • Deep Learning for Pedestrian Collective Behavior Analysis in Smart Cities: A Model of Group Trajectory Outlier Detection
    • Authors: A. Belhadi, Y. Djenouri, G. Srivastava, D. Djenouri, J.C.W. Lin, G. Fortino
    • Published in: Information Fusion, 65, 13-20
    • Cited by: 116
    • Year: 2021
  • Synchronization Protocols and Implementation Issues in Wireless Sensor Networks: A Review
    • Authors: D. Djamel, B. Mouloud
    • Published in: IEEE Systems Journal, 10(2), 617-627
    • Cited by: 116
    • Year

 

Omer Tariq | Cryptographic Accelerators | Best Researcher Award

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Mr. Omer Tariq | Cryptographic Accelerators | Best Researcher Award

Ph.D. Candidate at Korea Advanced Institute of Science and Technology, South Korea

Mr. Omer Tariq is a Ph.D. candidate at the Korea Advanced Institute of Science and Technology (KAIST), specializing in efficient and privacy-preserving deep learning for AIoT and Autonomous Systems. With over seven years of experience in Digital ASIC Design, Embedded Systems, and Hardware Design, Mr. Tariq has demonstrated a strong capability in developing and deploying innovative machine learning solutions using tools like TensorFlow, TensorRT, and PyTorch. His professional journey includes significant roles at the National Electronics Complex and the National Space Agency of Pakistan, where he led projects in SoC/RTL design, satellite imaging payload systems, and autonomous robotics. He is an accomplished researcher with several publications in prestigious journals, and his work is recognized for its impact on AI and robotics. Mr. Tariq holds a Bachelor of Science in Electrical Engineering from the University of Engineering and Technology, Taxila, and is actively seeking roles that will allow him to further contribute to the fields of AI and machine learning.

Profile:

Education:

Mr. Omer Tariq is currently pursuing a Doctor of Philosophy (Ph.D.) in Computer Science at the Korea Advanced Institute of Science and Technology (KAIST), School of Computing, specializing in Machine Learning and AI, with a CGPA of 3.74/4.3. His doctoral coursework includes advanced topics such as Programming for AI, Intelligent Robotics, Human-Computer Interaction, and Advanced Machine Learning. He previously earned a Bachelor of Science (BSc.) in Electrical Engineering from the University of Engineering and Technology (UET), Taxila, with a CGPA of 3.25/4.0. His undergraduate thesis focused on developing a “Computer Vision-Assisted Object Detection and Control Framework for a 3-DoF Robotic Arm,” showcasing his early interest in robotics and advanced computer architecture.

Professional Experience:

Mr. Omer Tariq has accumulated extensive experience across various high-tech sectors. From April 2019 to September 2022, he served as an Engineering Manager and Team Lead at the National Electronics Complex, Pakistan, where he led the verification and validation of high-performance SoC/RTL designs. He oversaw RTL development and optimization for integrated circuits, utilizing tools such as SystemVerilog and UVM. Prior to this, from October 2014 to April 2019, Mr. Tariq worked as an Assistant Manager at the National Space Agency (SUPARCO), Pakistan. In this role, he was instrumental in designing and developing satellite imaging payload systems and high-speed PCB designs, contributing to successful national satellite missions. Currently, Mr. Tariq is a Research Assistant in the Department of Industrial & Systems Engineering at KAIST, where he has been involved in designing and developing the electronics and power management module for the DAIM-Autonomous Mobile Robot. His work includes engineering advanced robotics software systems and implementing cutting-edge SLAM algorithms to enhance real-time navigation accuracy.

Research Interests:

Mr. Omer Tariq’s research interests are centered on advancing deep learning techniques for AIoT (Artificial Intelligence of Things) and autonomous systems, with a particular focus on efficiency and privacy preservation. His work explores the application of state-of-the-art machine learning frameworks such as TensorFlow, TensorRT, and PyTorch to develop innovative solutions that address complex challenges in these fields. Mr. Tariq is particularly engaged in improving robot motion planning, mapping, and localization (SLAM) algorithms to enhance autonomous systems’ navigation accuracy. His research also extends to federated learning approaches for secure AIoT-enabled applications, context-aware indoor-outdoor detection frameworks using smartphone sensors, and privacy-preserving methods in smart card authentication for Non-Fungible Tokens. His extensive work in these areas contributes to both theoretical advancements and practical implementations in machine learning and AI.

Skills:

Mr. Omer Tariq possesses a robust skill set in both software and hardware domains, crucial for his work in advanced machine learning and AI systems. He is proficient in programming languages such as C/C++, Python, SQL, SystemVerilog, and Verilog, enabling him to develop and optimize complex algorithms and systems. His expertise extends to a range of technologies and tools including TensorFlow, PyTorch, CUDA, and various AWS services like EC2, PostgreSQL, SQS, and Lambda. Additionally, he is adept in containerization and orchestration technologies such as Docker and Kubernetes. Mr. Tariq’s skills also encompass digital ASIC design and hardware tools, with experience using Cadence IC Design, Synopsys, Vivado/Vitis, and Altium Designer. This diverse technical knowledge underpins his ability to tackle intricate challenges in machine learning, embedded systems, and digital design.

Conclution:

Mr. Omer Tariq’s combination of academic excellence, professional experience, technical skills, and impactful research makes him a strong candidate for the Best Researcher Award. His contributions to AIoT, Autonomous Systems, and privacy-preserving technologies are not only innovative but also address critical challenges in today’s technological landscape. His achievements reflect a commitment to advancing knowledge and technology, making him deserving of recognition as a leading researcher in his field.

Publication Tob Noted:

  • A Smart Card Based Approach for Privacy Preservation Authentication of Non-Fungible Token Using Non-Interactive Zero Knowledge Proof
    • Authors: MBA Dastagir, O. Tariq, D. Han
    • Published in: 2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable
    • Citations: 1
    • Year: 2022
  • Compact Walsh–Hadamard Transform-Driven S-Box Design for ASIC Implementations
    • Authors: O. Tariq, MBA Dastagir, D. Han
    • Published in: Electronics 13 (16), 3148
    • Citations: Not yet cited
    • Year: 2024
  • TabCLR: Contrastive Learning Representation of Tabular Data Classification for Indoor-Outdoor Detection
    • Authors: MBA Dastagir, O. Tariq, D. Han
    • Published in: IEEE Access
    • Citations: Not yet cited
    • Year: 2024
  • 2D Particle Filter Accelerator for Mobile Robot Indoor Localization and Pose Estimation
    • Authors: O. Tariq, D. Han
    • Published in: IEEE Access
    • Citations: Not yet cited
    • Year: 2024
  • DeepIOD: Towards A Context-Aware Indoor–Outdoor Detection Framework Using Smartphone Sensors
    • Authors: MBA Dastagir, O. Tariq, D. Han
    • Published in: Sensors 24 (16), 5125
    • Citations: Not yet cited
    • Year: 2024
  • HILO: High-level and Low-level Co-design, Evaluation and Acceleration of Feature Extraction for Visual-SLAM using PYNQ Z1 Board
    • Authors: MB Akram Dastagir, O. Tariq, D. Han
    • Published in: 12th International Conference on Indoor Positioning and Indoor Navigation
    • Citations: Not yet cited
    • Year: 2022

 

Saran Kampeephat | Wireless Communication Systems | Best Researcher Award

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Assist Prof Dr. Saran Kampeephat | Wireless Communication Systems | Best Researcher Award

Lecter at Department of Electronic Engineering, Rajamagala University of Technology Isan, Thailand

Asst. Prof. Dr. Saran Kampeephat is a prominent academic in telecommunications engineering, currently serving at the Department of Electronic Engineering and Automatic Control Systems, Faculty of Engineering and Technology, Rajamangala University of Technology Isan. Born on June 12, 1984, Dr. Kampeephat has focused his career on advancing wireless communication systems, antenna and microwave engineering, and the utilization of metamaterials to enhance conventional antenna and microwave device efficiency. He holds a Ph.D. in Telecommunications Engineering, which he earned in 2014 from Suranaree University of Technology, where he also completed his Master’s degree in 2009 and his Bachelor’s degree with First-Class Honors in 2007. Dr. Kampeephat has a significant body of research, including numerous publications and conference papers, contributing to the development of advanced communication technologies. His work has positioned him as a leading expert in his field, driving innovation and excellence in telecommunications engineering.

Profile:

Education:

Asst. Prof. Dr. Saran Kampeephat holds an impressive academic background, having pursued his entire higher education at Suranaree University of Technology. He earned his Ph.D. in Telecommunications Engineering in 2014, where he focused on advanced topics in wireless communication and electromagnetic applications. Prior to this, he completed his Master of Engineering in Telecommunications Engineering in 2009, building a solid foundation in telecommunications systems and technologies. Dr. Kampeephat’s academic journey began with a Bachelor of Engineering in Telecommunications Engineering, where he graduated with First-Class Honors in 2007, demonstrating his early dedication and excellence in the field.

Professional Experience:

Asst. Prof. Dr. Saran Kampeephat has accumulated extensive professional experience in the field of telecommunications engineering, with a particular focus on wireless communication systems, antenna and microwave engineering, and electromagnetic applications. He currently holds a faculty position at the Department of Electronic Engineering and Automatic Control Systems, Faculty of Engineering and Technology, Rajamangala University of Technology Isan, where he contributes to both teaching and research. Dr. Kampeephat’s work is characterized by his innovative use of metamaterials to enhance the efficiency of conventional antennas and microwave devices. Throughout his career, he has published numerous research papers in prestigious journals and presented at international conferences, solidifying his reputation as a leading expert in his field. His professional journey is marked by a commitment to advancing the frontiers of telecommunications engineering through both academic excellence and groundbreaking research.

Research Interests:

Asst. Prof. Dr. Saran Kampeephat’s research interests lie at the intersection of telecommunications engineering and electromagnetic applications, with a strong focus on wireless communication systems. He is particularly interested in antenna and microwave engineering, where his work involves the design and optimization of high-performance antennas for various applications. Dr. Kampeephat has a specialized interest in the utilization of metamaterials to enhance the efficiency and functionality of conventional antennas and microwave devices. His research aims to push the boundaries of what is possible in wireless communication by developing innovative solutions that improve signal strength, reduce interference, and increase the overall performance of communication systems. Through his work, Dr. Kampeephat is contributing to the advancement of telecommunications technology, addressing both theoretical challenges and practical applications in the field.

Skills:

Asst. Prof. Dr. Saran Kampeephat possesses a diverse and highly specialized skill set in the field of telecommunications engineering. His expertise includes the design and optimization of wireless communication systems, where he excels in developing innovative solutions to improve signal transmission and reception. Dr. Kampeephat is proficient in antenna and microwave engineering, with advanced skills in the application of electromagnetic theory to design high-efficiency antennas. He is also skilled in the use of metamaterials, which he utilizes to enhance the performance of conventional antennas and microwave devices, pushing the limits of their efficiency and functionality. Additionally, Dr. Kampeephat is experienced in conducting rigorous research, data analysis, and technical writing, contributing to his extensive portfolio of publications in leading journals and conferences. His technical skills are complemented by his ability to lead research projects, collaborate with multidisciplinary teams, and mentor students, making him a well-rounded and highly effective academic and researcher in his field.

Conclution:

In conclusion, Asst. Prof. Dr. Saran Kampeephat’s comprehensive expertise in telecommunications engineering, particularly in the areas of wireless communication, electromagnetic applications, and antenna engineering, combined with his significant research contributions and active engagement in the academic community, make him a strong candidate for the Best Researcher Award. His work not only advances theoretical knowledge but also offers practical solutions to complex engineering problems, which is essential for the ongoing development of modern communication technologies.

Publication Tob Noted:

  • Gain Enhancement for Conventional Circular Horn Antenna by Using EBG Technique
    • Authors: R. Wongsan, P. Krachodnok, S. Kampeephat, P. Kamphikul
    • Published in: 2015 12th International Conference on Electrical Engineering/Electronics
    • Citations: 9
    • Year: 2015
  • Efficiency Improvement for Conventional Rectangular Horn Antenna by Using EBG Technique
    • Authors: S. Kampeephat, P. Krachodnok, R. Wongsan
    • Published in: International Journal of Electrical, Computer, Energetic, Electronic and
    • Citations: 9
    • Year: 2014
  • Gain and Pattern Improvements of Array Antenna Using MSA with Asymmetric T-Shaped Slit Loads
    • Authors: S. Kampeephat, P. Krachodnok, M. Uthansakul, R. Wongsan
    • Published in: WSEAS Transactions on Communications
    • Citations: 8
    • Year: 2008
  • Enhancement of Monopole Antenna Gain with Additional Vertical Wire Medium Structure
    • Authors: S. Kampeephat, P. Kamphikul, R. Wongsan
    • Published in: 2019 PhotonIcs & Electromagnetics Research Symposium-Spring (PIERS-Spring)
    • Citations: 5
    • Year: 2019
  • Gain Improvement for Conventional Rectangular Horn Antenna with Additional EBG Structure
    • Authors: S. Kampeephat, P. Krachodnok, R. Wongsan
    • Published in: 2014 11th International Conference on Electrical Engineering/Electronics
    • Citations: 5
    • Year: 2014
  • A Study of Gain Enhancement of Horn Antenna Using EBG
    • Authors: S. Kampeephat, P. Krachodnok, R. Wongsan
    • Published in: 2012 IEEE Asia-Pacific Conference on Antennas and Propagation
    • Citations: 5
    • Year: 2012
  • Gain Improvement for Conventional Rectangular Horn Antenna with Additional Two-Layer Wire Medium Structure
    • Authors: S. Kampeephat, P. Kamphikul, R. Wongsan
    • Published in: 2017 Progress in Electromagnetics Research Symposium-Fall (PIERS-FALL)
    • Citations: 3
    • Year: 2017
  • Directive Gain Array Antenna Using MSA with Asymmetric T-Shaped Slit Loads
    • Authors: S. Kampeephat, P. Krachodnok, M. Uthansakul, R. Wongsan
    • Published in: WSEAS International Conference. Proceedings. Mathematics and Computers in
    • Citations: 3
    • Year: 2008
  • Increasing the Gain of a Quarter Wave Monopole Antenna with a Vertical Wire Medium Structure
    • Authors: S. Kampeephat, W. Wiboonjaroen, P. Kamphikul, W. Sarikha
    • Published in: 2020 17th International Conference on Electrical Engineering/Electronics
    • Citations: 2
    • Year: 2020
  • A Study of Gain Improvement of a Slot Antenna Using Curved Metallic Holes Structure
    • Authors: A. Boonyakiat, P. Kamphikul, S. Kampeephat
    • Published in: 2020 17th International Conference on Electrical Engineering/Electronics
    • Citations: 2
    • Year: 2020
  • Efficiency Improvement of Patch Antenna with Metamaterial Technique for Modern Wireless Communication Applications
    • Authors: P. Kamphikul, S. Kampeephat, R. Wongsan
    • Published in: 2019 PhotonIcs & Electromagnetics Research Symposium-Spring (PIERS-Spring)
    • Citations: 2
    • Year: 2019
  • A Study of Gain Enhancement of Horn Antenna Using Various Shaped Woodpile EBG
    • Authors: S. Kampeephat, P. Krachodnok, R. Wongsan
    • Published in: IEICE Technical Report; IEICE Tech. Rep.
    • Citations: 2
    • Year: 2012

 

Dania Saleem | Cybersecurity | Best Researcher Award

Posted on by ScienceFather

Dr. Dania Saleem | Cybersecurity | Best Researcher Award

Lecturer at HITEC university Taxila, Pakistan

Dr. Dania Saleem is a dedicated mathematician and researcher specializing in algebraic cryptography. She holds a Ph.D. in Mathematics from Quaid-e-Azam University, Islamabad, where her research focused on developing innovative encryption schemes, including her published work on “Color Multiple Image Encryption Scheme Based on 3D-Chaotic Maps.” Dr. Saleem also completed her M.Phil in Mathematics at Quaid-e-Azam University, contributing to significant research in cryptography. With over six years of teaching experience, she currently serves as a Lecturer of Mathematics at HITEC University, Taxila, where she teaches various advanced mathematics courses. Dr. Saleem’s expertise includes mathematical modeling, MATLAB, C++ programming, and advanced encryption techniques. Her commitment to both teaching and research has made her a respected figure in her field.

 

Profile:

Education:

Dr. Dania Saleem has an impressive academic background in mathematics, with a focus on algebraic cryptography. She earned her Ph.D. in Mathematics from Quaid-e-Azam University, Islamabad, from 2017 to 2021. Her doctoral research led to the publication of the paper “Color Multiple Image Encryption Scheme Based on 3D-Chaotic Maps,” showcasing her expertise in cryptography. Prior to her Ph.D., she completed an M.Phil in Mathematics at Quaid-e-Azam University from 2015 to 2017, where she contributed to the research titled “An RGB Chaos-based Image Encryption Scheme using SHA-256 and Scan Patterns.” Dr. Saleem’s academic journey began with a Master’s degree in Mathematics from Govt. Post Graduate College Asghar Mall, Rawalpindi (2012-2014), during which she worked on the “Designing of One Time-pad Encryption Scheme using 4D-Dynamical System and Convolution Codes.” She holds a Bachelor’s degree in Mathematics from Govt. Degree College for Women B-Block, Rawalpindi, earned between 2010 and 2012. Throughout her academic career, Dr. Saleem has demonstrated a strong commitment to advancing the field of mathematics, particularly in the area of cryptography.

Professional Experience:

Dr. Dania Saleem has over six years of professional experience in academia, focusing on mathematics education and research. Since September 2021, she has been serving as a Lecturer of Mathematics at HITEC University, Taxila, where she teaches a range of undergraduate courses, including Discrete Mathematics, Ordinary Differential Equations, Metric and Topological Spaces, Real Analysis, Elements of Set Theory, Group Theory, and Rings and Fields. Prior to her current role, Dr. Saleem was a Visiting Lecturer at Arid Agricultural University, Rawalpindi, from January 2016 to August 2021. During this time, she taught various undergraduate mathematics courses, further honing her pedagogical skills and deepening her engagement with students. Dr. Saleem’s extensive teaching experience is complemented by her strong research background in algebraic cryptography, where she has made significant contributions through her published work and ongoing projects.

Research Interests:

Dr. Dania Saleem’s research interests are centered on algebraic cryptography, with a focus on developing advanced encryption schemes and exploring their applications. Her work delves into innovative methods for securing digital communications, employing techniques such as chaotic maps and dynamical systems to enhance encryption strategies. Dr. Saleem’s research includes the design and analysis of cryptographic systems, with notable contributions including her published study on “Color Multiple Image Encryption Scheme Based on 3D-Chaotic Maps.” She is also interested in the intersection of cryptography and information security, investigating how mathematical models can address contemporary challenges in securing sensitive data. Her ongoing research aims to advance the field of cryptography by developing more robust and efficient encryption methods.

Skills:

Dr. Dania Saleem possesses a diverse skill set that supports her expertise in mathematics and cryptography. She is proficient in Scientific Workplace and MATLAB, which are essential for conducting complex mathematical analysis and modeling. Her skills extend to Microsoft Visio for creating detailed diagrams and MS-Office for general documentation and presentation needs. Additionally, Dr. Saleem is adept in C++ Language, which she utilizes for programming and implementing cryptographic algorithms. Her expertise also includes Mathematica, a powerful tool for advanced mathematical computations and visualizations. These skills enable her to effectively teach advanced mathematics courses, conduct high-level research, and contribute to the development of innovative cryptographic techniques.

Conclution:

Dr. Dania Saleem’s comprehensive expertise, extensive teaching experience, and significant research achievements in algebraic cryptography make her a highly deserving candidate for the Best Researcher Award. Her dedication to advancing mathematical research, particularly in the domain of cryptography, coupled with her commitment to education, underscores her suitability for this prestigious recognition.

Publication Tob Noted:

  • 4D-Dynamical System and Convolution Codes Based Colored Image Encryption Scheme: Information Security Perception
    • Authors: D.S. Malik, T. Shah
    • Journal: Multimedia Tools and Applications
    • Year: 2024
    • Volume: 83, Issue 10
    • Pages: 29353–29375
  • Color Multiple Image Encryption Scheme Based on 3D-Chaotic Maps
    • Authors: D.S. Malik, T. Shah
    • Journal: Mathematics and Computers in Simulation
    • Year: 2020
    • Volume: 178
    • Pages: 646–666
    • Citations: 74