Michel Dossou | Telecommunications | Best Researcher Award

Michel Dossou | Telecommunications | Best Researcher Award

Assoc.Prof. Dr. Michel Dossou , University of Abomey-Calavi , Benin.

Michel Dossou is an accomplished academic and telecommunications expert with a Ph.D. in photonics from the University of Lille, France (2011). 🌟 A dynamic educator and Cisco-certified instructor, he has advanced networking and fiber optics expertise. Michel’s leadership in large-scale projects and multilingual proficiency (Fon, Mina, Goun, French, and English) enhance his global impact. 🌍 His accolades include prestigious fellowships, national awards in mathematics and sciences, and a €500,000 research grant.Β πŸ’‘Β With a passion for innovation and education, he continues to inspire future generations in optics, telecommunications, and networking.Β πŸš€

Publication ProfileΒ 

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Education And Experiance

  • πŸŽ“Β Ph.D. in Photonics (2011):Β University of Lille, France (Optics/Telecommunications).
  • πŸŽ“Β Engineering Degree (2006):Β Royal Military Academy, Brussels, Belgium.
  • 🏫 Associate Professorship (2019):Β Advanced academic distinction.
  • 🏫 Assistant Professorship (2015):Β Recognized teaching expertise.
  • πŸ“œΒ Certificate in Management (2014):Β University of Indore, India.

Suitability For the Award

Assoc. Prof. Dr. Michel Dossou is an ideal candidate for the Best Researcher Award due to his exceptional contributions to photonics, optics, and telecommunications. With a Ph.D. from the University of Lille and numerous prestigious fellowships, including a 500,000-euro grant, his research has significantly advanced optical technologies. His certifications in networking and fiber optics further highlight his expertise, making him a leading figure in his field with an impressive record of awards and recognition.

Professional Development

Michel Dossou is a forward-thinking educator and certified professional in telecommunications and networking.Β πŸ“‘Β He holds the Cisco Certified Network Associate (CCNA) credential, excelling in networking essentials, security, and automation. πŸ–§ An active NetAcad instructor, he mentors students in cutting-edge Cisco Networking Academy programs. 🌐 Additionally, Michel is a Certified Fiber Optic Technician (CFOT), recognized by the Fiber Optic Association for his technical expertise.Β πŸ”—Β His career blends practical skill development with academic excellence, making him a driving force in photonics, telecommunications, and advanced networking education.Β πŸ“˜

Research Focus

Michel Dossou’s research centers on optics, photonics, and telecommunications, with a special emphasis on advancing fiber optic technologies and network automation. πŸ”¬πŸ“‘ His work contributes to innovations in high-speed data transmission, laser-based communication, and the development of robust optical networks. πŸ’‘ Michel’s expertise in photonics extends to interdisciplinary applications, bridging theoretical research with practical advancements in telecommunications infrastructure. 🌍 His dedication to the field is evident in his academic contributions and his commitment to mentoring future researchers in photonics and network technologies. πŸš€

Awards And Honors

  • πŸ…Β Best Dissertation Award (2006):Β Royal Military Academy, Belgium.
  • πŸ₯‡Β National Mathematics and Physical Sciences Champion (2000):Β Peace Corps, Benin.
  • πŸ…Β National Mathematics Champion (1998):Β Institute of Mathematics and Physics, Benin.
  • πŸŽ–οΈΒ Fellowships:
    • Belgian Ministry of Defense for Master’s studies (2001-2006).
    • French National Center for Scientific Research (2007-2010).
    • University of Lille Research Fellowship (2010-2012).

Publication Top NotesΒ 

  • Mitigation of Spectral Shadowing Effect in Direct Detection Double-Pulse FBG-Assisted Phase-OTDR – 2024,Β πŸŒŸπŸ“–
  • Exploring Universal Filtered Multi Carrier Waveform for Last Meter Connectivity in 6G: A Street-Lighting-Driven Approach with Enhanced Simulator for IoT Application Dimensioning – 2024,Β Cited by: 1Β πŸ“‘βœ¨
  • A Novel Method for Fishing Boat Vibration Sensing Using an FBG-Based Warning Sign Pile Accelerometer – 2024,Β πŸš€πŸ“ˆ
  • IoT using LoRaWAN: A Security Analysis – 2024,Β πŸ”’πŸŒ
  • Research on CFBG Hydrophone for Vocalization Sensing of Oreochromis Mossambicus During Feeding – 2024,Β Β πŸŸπŸ”Š
  • Radio Coverage Prediction in Wireless Networks: A Bibliometric Study – 2024,Β πŸ“‘πŸ“š
  • Diaphragms Simulation, Fabrication, and Testing of a High-Temperature Fiber Optic F-P Accelerometer Based on MEMS – 2023,Β Cited by: 4Β πŸ”₯πŸ“

Prof. Dr. Chi Xu | Networking Awards | Best Researcher Award

Prof. Dr. Chi Xu | Networking Awards | Best Researcher Award

Prof. Dr. Chi Xu, Shenyang Institute of Automation, Chinese Academy of Sciences, China

Xu Chi, Ph.D. is a Professor at the Shenyang Institute of Automation, Chinese Academy of Sciences, specializing in control science and engineering. Born on February 2, 1987, in China, he obtained his Ph.D. in Control Theory and Control Engineering from the University of Chinese Academy of Sciences in 2017. Xu has held various academic positions, including Associate Professor and Assistant Professor at the same institute. He is actively involved in multiple guest professorships at institutions like Shenyang University of Technology and Shenyang Ligong University. Xu is a senior member of several professional societies, including IEEE and the China Institute of Communications. His research focuses on industrial wireless networks, tactile internet, and intelligent manufacturing, with significant contributions through various funded projects and numerous publications in leading journals.

Professional Profile:

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Summary of Suitability for the Best Researcher Award

Xu Chi, Ph.D., stands out as an exemplary candidate for the Best Researcher Award due to his profound contributions to control engineering and robotics, evidenced by his extensive research funding, numerous high-impact publications, innovative patents, and active participation in professional societies. His commitment to advancing technology, coupled with his leadership in academia, positions him as a deserving recipient of this prestigious award.

πŸŽ“Education:

Dr. Xu Chi completed his Postdoctoral Research in Control Science and Engineering at the Shenyang Institute of Automation, Chinese Academy of Sciences, in Shenyang, China, from June 2019 to June 2022. He earned his Ph.D. in Control Theory and Control Engineering from the University of Chinese Academy of Sciences in Beijing, China, between March 2013 and July 2017. Prior to his doctoral studies, Dr. Xu obtained a Master’s degree in Communication and Information Systems from Liaoning Technical University in Huludao, China, where he studied from September 2010 to January 2013. He also holds a Bachelor’s degree in Communication Engineering from the same institution, which he completed from September 2006 to July 2010, along with a Bachelor (Minor) in Engineering Management earned from May 2008 to July 2010 at Liaoning Technical University.

🏒Work Experience:

Dr. Xu Chi currently serves as a Professor at the State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences in Shenyang, China, a position he has held since March 2023. Before this role, he was an Associate Professor at the same laboratory from March 2020 to February 2023, and he previously worked as an Assistant Professor from September 2017 to February 2020. In addition to his primary appointment, Dr. Xu is a Guest Professor at several institutions, including Shenyang University of Technology since April 2021, Shenyang Ligong University since December 2020, and Shenyang University of Chemical Technology since September 2020. He has also been affiliated with the National Robotics Innovation Centre in Shenyang, China, as a Guest Professor since May 2019.

πŸ…Awards and Memberships:

Dr. Xu Chi is an esteemed member of various professional societies, reflecting his significant contributions to the field of engineering and technology. He has been a Senior Member of IEEE, the China Institute of Communications, and the Chinese Institute of Electronics since 2022. Additionally, he holds the status of Senior Member at the Chinese Institute of Command and Control and the China Computer Federation since 2021. Dr. Xu actively participates in governance and development initiatives as a Committee Member of the Youth Working Committee of the Chinese Association of Automation since 2021 and the Youth Innovation Promotion Association at the Chinese Academy of Sciences since 2019.

πŸ”¬Research Focus:

Dr. Xu Chi’s research primarily focuses on several cutting-edge areas within engineering and technology. His work centers around industrial wireless networks, exploring their potential to enhance communication in various sectors. He is also deeply engaged in the tactile internet, aiming to develop applications that require real-time interactions and feedback. Additionally, Dr. Xu contributes to intelligent manufacturing by researching innovative solutions that integrate automation and data exchange. His efforts include the development and implementation of ultra-reliable and real-time control networks tailored for industrial applications, as well as fusion and unified modeling methods for heterogeneous protocol suites. Furthermore, he is actively involved in researching adaptation technologies for industrial 5G networks to improve efficiency and reliability in manufacturing processes.

Publication Top Notes:

  • Title: End-to-end throughput maximization for underlay multi-hop cognitive radio networks with RF energy harvesting
  • Cited by: 168
  • Title: Outage Performance of Underlay Multihop Cognitive Relay Networks with Energy Harvesting
  • Cited by: 108
  • Title: Real-time scheduling of massive data in time sensitive networks with a limited number of schedule entries
  • Cited by: 62
  • Title: Harvesting-Throughput Tradeoff for RF-powered Underlay Cognitive Radio Networks
  • Cited by: 33
  • Title: Digital twin-driven collaborative scheduling for heterogeneous task and edge-end resource via multi-agent

 

 

Dr. Adnene Arbi | AI in Networking | Excellence in Research

Dr. Adnene Arbi | AI in Networking | Excellence in Research

Dr adnene arbi , EPT, Tunisia

Dr. Adnene Arbi, an Assistant Professor at the National School of Advanced Sciences and Technologies at Borj Cedria and a member of the Laboratory of Engineering Mathematics at Polytechnic School of Tunisia, is a prominent researcher in applied mathematics. His work is recognized for its depth in areas such as robust control, synchronization, time scale spaces, and dynamical systems. With more than 26 peer-reviewed publications, he is a distinguished figure in his field, contributing to both academic and practical advancements in mathematics.

Professional Profile:

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Suitability for the Research for Best Researcher Award

Dr. Adnene Arbi is exceptionally well-suited for a Research Excellence Award due to his comprehensive expertise, innovative contributions, and significant impact in the field of applied mathematics. His research encompasses a broad range of complex topics, including robust control, synchronization of neural networks, and time scale spaces, demonstrating a deep understanding of both theoretical and practical aspects of mathematics.

Dr. Arbi’s work is distinguished by his innovative methodologies and solutions to challenging mathematical problems. For instance, his development of a new technique for optimizing parameters in Support Vector Machines (SVM) during his Master’s studies highlights his capacity for pioneering research that addresses critical issues in computational mathematics. His subsequent research on the stability of Hopfield-type neural networks and his exploration of oscillatory systems and delayed differential equations further underscore his innovative approach and expertise.

Academic Background πŸ“š

Dr. Arbi’s academic journey is marked by excellence. He achieved his Habilitation in Applied Mathematics from the Preparatory Institute for Scientific and Technical Studies, University of Carthage in 2023, with a focus on functional spaces of oscillatory type and delayed dynamical models. His Ph.D. from the Faculty of Sciences of Bizerta in 2014 concentrated on the stability of Hopfield-type neural network models. Earlier, he earned a Master’s in Engineering of Mathematics and a Bachelor’s in Applied Mathematics, both from the University of Carthage, showcasing a strong foundation in mathematical theory and application.

Professional Experience πŸ’Ό

Dr. Arbi is an Assistant Professor at the National School of Advanced Sciences and Technologies at Borj Cedria and serves as a member of the Laboratory of Engineering Mathematics at the Polytechnic School of Tunisia. His professional roles include teaching various mathematics modules, ranging from analysis and numerical methods to data mining and simulation. He also holds editorial positions with several international journals, demonstrating his influence in the field.

Research Interests and Contributions πŸ”¬

Dr. Arbi’s research interests are broad and impactful, encompassing robust control, time scale spaces, stochastic and time-delay systems, and neural networks. His work often explores the dynamics of complex systems and their optimization, contributing to the theoretical and practical advancements in these areas. His research also delves into algorithm development and artificial intelligence, further broadening his impact.

Awards and Recognitions πŸ†

Dr. Adnene Arbi has garnered significant recognition throughout his academic career, reflecting his exceptional contributions to the field of applied mathematics. Notable among his accolades is the very honorable mention for his Habilitation in Applied Mathematics, awarded in 2023, which highlights his significant contributions to the study of functional spaces of oscillatory types and delayed dynamical models. Additionally, Dr. Arbi has received commendations for his doctoral research, which explored the stability of Hopfield-type neural networks, underscoring his expertise in both theoretical and applied mathematics. His role as a reviewer and editor for numerous high-impact journals also illustrates the esteem in which he is held by the academic community. These honors collectively underscore Dr. Arbi’s excellence in research and his influential role in advancing mathematical sciences.

Innovations and Impact πŸš€

Dr. Adnene Arbi’s innovation is highlighted by his development of novel techniques in parameter optimization for Support Vector Machines (SVM), enhancing machine learning efficiency. His work on oscillatory systems and time scale spaces introduces new analytical methods for dynamical systems. This innovation not only advances theoretical understanding but also has practical implications in control systems and artificial intelligence. Dr. Arbi’s contributions are widely recognized through his extensive publications and editorial roles, reflecting his significant impact on both academic research and real-world applications.

Publication Top Notes:

  1. Artificial Intelligence Techniques for Bankruptcy Prediction of Tunisian Companies: An Application of Machine Learning and Deep Learning-Based Models
    • Year: 2024
    • Journal: Journal of Risk and Financial Management
  2. Robust Model Predictive Control for Fractional-Order Descriptor Systems with Uncertainty
    • Year: 2024
    • Journal: Fractional Calculus and Applied Analysis
  3. Synchronization Analysis of Novel Delayed Dynamical Clifford-Valued Neural Networks on Timescales
    • Year: 2024
    • Journal: Journal of Algorithms and Computational Technology
  4. Morlet Wavelet Neural Network Investigations to Present the Numerical Investigations of the Prediction Differential Model
    • Year: 2023
    • Journal: Mathematics
  5. Designing a Bayesian Regularization Approach to Solve the Fractional Layla and Majnun System
    • Year: 2023
    • Journal: Mathematics
  6. Stability Analysis of Inertial Neural Networks: A Case of Almost Anti-Periodic Environment
    • Year: 2022
    • Journal: Mathematical Methods in the Applied Sciences
  7. Dynamics of Delayed Cellular Neural Networks in the Stepanov Pseudo Almost Automorphic Space
    • Year: 2022
    • Journal: Discrete and Continuous Dynamical Systems – Series S

Dr. Mokhtar Mohamed | Efficient Networking Awards | Best Researcher Award

Dr. Mokhtar Mohamed | Efficient Networking Awards | Best Researcher Award

Dr. Mokhtar Mohamed, Delta university for Science and Technology, Egypt

Dr. Mokhtar Mohamed is a dedicated scholar specializing in Engineering Mathematics, currently serving at Delta University for Science and Technology in Egypt. He holds a Ph.D. and an M.Sc. from the Faculty of Engineering at Zagazig University, with his doctoral research focusing on the nonlinear quadrature analysis of photocurrent transients in organic polymer solar cells, resulting in three published papers. Earlier, his master’s thesis explored nonlinear quadrature analysis in nano beam vibration problems, yielding two published papers. Dr. Mohamed’s academic pursuits highlight his expertise in advanced mathematical modeling, with interests spanning group methods for solving partial differential equations, hidden symmetries, fluid dynamics, boundary layer problems, and numerical analysis. His personal skills include effective communication, strong teamwork, and a goal-oriented approach, reflecting his commitment to academic excellence and research advancement in engineering sciences.

Professional Profile:

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πŸŽ“ Education:

Dr. Mokhtar Mohamed is a dedicated scholar specializing in Engineering Mathematics, holding a Ph.D. and an M.Sc. from the Faculty of Engineering at Zagazig University. His doctoral research focused on the nonlinear quadrature analysis of photocurrent transients in organic polymer solar cells, resulting in three published papers. Earlier, his master’s thesis explored nonlinear quadrature analysis in nano beam vibration problems, yielding two published papers. Dr. Mohamed’s academic pursuits highlight his expertise in advanced mathematical modeling and his contributions to the field of engineering sciences.

πŸ‘¨β€πŸ« Teaching Topics:

Expertise in Algebra, Analytic Geometry, Differential and Integral Calculus, Numerical Methods, Solution of Ordinary and Partial Differential Equations, Complex Analysis, Special Functions, Laplace Transform, Fourier Transform, Sequences, Infinite Series, Multiple Integrals, Statistics and Probability, Mechanics (Static and Dynamic courses).

πŸ”¬ Interests:

Research interests include group methods for solving partial differential equations, hidden symmetries of differential equations, fluid dynamics, boundary layer problems, and numerical analysis of nanobeam problems using DQM.

🌟 Personal Skills:

Known for good communication skills, adept at both independent work and teamwork, quick learner, goal-oriented, highly productive, and efficient worker.

Publication Top Notes:

 

 

Dr. Yasir AlKubaisi | Efficient Networking | Best Researcher Award

Dr. Yasir AlKubaisi | Efficient Networking | Best Researcher Award

Dr. Yasir AlKubaisi, Dubai Academic Health Corporation, United Arab Emirates

Dr. Yasir AlKubaisi is a distinguished electrical engineer and sustainable energy expert currently serving at the Dubai Academic Health Corporation, UAE. With a Ph.D. in Electrical Engineering from University Putra Malaysia, his research has significantly advanced energy harvesting systems. He also holds an MSc in Computer Engineering and a BSc in Electrical and Computer Engineering from the University of Technology, Baghdad. Since 2009, Dr. AlKubaisi has been pivotal in implementing sustainable projects within Dubai’s healthcare sector, including the Sustainable Blood Donation Bus. His extensive skills in project management, data analysis, and system design are complemented by his proficiency in LEED standards and various technical tools like MATLAB and AutoCAD. Recognized with numerous awards, including the MDIP Best Researcher Award in 2024, Dr. AlKubaisi’s work focuses on sustainable energy, electrical and control engineering, and robotics and automation.

Professional Profile:

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πŸŽ“ Education:

PhD: Electrical Engineering, University Putra Malaysia (UPM), May 2020.,Dissertation: “Gravitational Energy Harvesting System Based on Multistage Braking Technique for Multilevel Elevator Car Parking Building.”,MSc: Computer Engineering, University of Technology, Baghdad, Iraq, May 2005.,BSc: Electrical and Computer Engineering, University of Technology, Baghdad, Iraq, June 1994

πŸ’Ό Work Experience:

Dubai Academic Health Corporation, Dubai, UAE (2009-present):,Sustainable Engineer, Corporate Environmental Health-Safety & Sustainability Dept.,Key projects include the Sustainable Blood Donation Bus and various energy-saving initiatives.,Dubai Health Authority, Dubai, UAE (2009-2017),Various roles in the Engineering Department, focusing on project management, sustainability, and quality control.,Higher Education Computer Center, Iraq (1994-2007):,Significant experience in overseeing design solutions and managing technical teams.

🌐 Skills:

  • trong project management and technical skills including data analysis, system design, and process improvement.
  • Proficient in LEED standards, ISO, and JCI requirements for healthcare buildings.
  • Skilled in MATLAB, MS Office Suite, AutoCAD, and 3D Max

πŸ† Awards & Recognition:

  • MDIP Best Researcher Award, International Research Awards on Sensing Technology, 2024
  • Reviewer Recognition, Elsevier “Journal of Cleaner Production”, 2023
  • Various Certificates of Appreciation from Dubai Health Authority for environmental and sustainability contributions.

πŸ” Research Focus:

Publication Top Note:

 

 

 

Assoc Prof Dr. Lun Zhao | AI in Network Award | Best Researcher Award

Assoc Prof Dr. Lun Zhao | AI in Network Award | Best Researcher Award

Assoc Prof Dr. Lun Zhao, Shenzhen Polytechnic University, China

Dr. Lun Zhao, a distinguished academic and researcher at Shenzhen Polytechnic University, China πŸ‡¨πŸ‡³, holds dual Ph.D. degrees in Mechanical Engineering from Blekinge Institute of Technology, Sweden, and in Mechanical and Electrical Engineering from Kunming University of Science and Technology, China πŸŽ“. As a Distinguished Associate Researcher at the Institute of Intelligent Manufacturing Technology since 2022, Dr. Zhao has made significant strides in intelligent manufacturing, publishing over 70 academic papers, including 8 in JCR Area 1 journals πŸ“š. He has also been granted 4 authorized invention patents. Dr. Zhao leads the Intelligent Connection New Technology R&D Team and directs several key research centers. His outstanding contributions have earned him recognitions such as the Shenzhen Overseas High-Level Talent Introduction β€œPeacock Plan Category C” πŸ†. He has also hosted and participated in numerous research projects worth over 10 million RMB, demonstrating his expertise and leadership in the field 🌟.

🌐 Professional Profile:

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πŸŽ“ Educational Background

  • Ph.D. in Mechanical Engineering: Blekinge Institute of Technology, Sweden (2015.12-2017.1)
  • Ph.D. in Mechanical and Electrical Engineering: Kunming University of Science and Technology, China (2012.09-2018.06)

πŸ’Ό Professional Experience

  • Distinguished Associate Researcher: Institute of Intelligent Manufacturing Technology, Shenzhen Polytechnic University (2022.7–present)
  • Secondment: Shenzhen Municipal Science and Technology Innovation Commission Major Special Project Division (2022.12-2023.8)
  • Postdoctoral Fellow: Institute of Integration, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (2020.9–2022.6)
  • Distinguished Associate Professor: School of Mechanical Engineering, Guizhou University (2018.9-2020.7)

πŸ“š Academic Contributions

Dr. Zhao Lun has made significant contributions to the field of intelligent manufacturing. He has published over 70 academic papers, with 8 in JCR Area 1 journals. He has been granted 4 authorized invention patents and has supervised numerous postgraduate students, including 3 postdoctoral, 3 doctoral, and over 30 master’s students.

πŸ† Achievements and Roles

  • Leader: Intelligent Connection New Technology R&D Team
  • Director: Shenzhen Vocational College-Guangzhou Xindongli Ultrasonic Welding R&D Center
  • Director: Shenzhen Vocational College-Guangdong Haimingsheng Intelligent Connection Joint Laboratory
  • Postdoctoral Supervisor
  • External Tutor: Tsinghua University Shenzhen International Graduate School

🌟 Recognitions and Awards

  • Shenzhen Overseas High-Level Talent Introduction β€œPeacock Plan Category C”
  • Hosted and participated in research projects: Worth over 10 million RMB, including the 2022 National Key R&D Plan of the Ministry of Science and Technology, National Natural Science Foundation Youth Fund Project, China Postdoctoral Fund General Project, and Shenzhen High-end Talent Scientific Research Startup Project.

Publication Top Notes:

  • Numerical and experimental investigation of an Archimedes screw turbine for open channel water flow application
  • A Deep Convolutional Neural Network-Based Method for Self-Piercing Rivet Joint Defect Detection
  • Mechanical properties of ultrasonic welded and self-piercing riveted joints in a 5A06 aluminum alloy and a TA1 titanium alloy
  • Influence of Patterns on Mechanical Properties of Ultrasonically Welded Joints in Copper Substrate and Wire
  • Numerical study on the injection strategy on combustion and emission characteristics of a non-road diesel engine under different altitude conditions

 

 

 

 

Dr. Florence Rashidi | Optocom Awards | Best Researcher Award

Dr. Florence Rashidi | Optocom Awards | Best Researcher Award

Dr. Florence Rashidi, The University of Dodoma, Tanzania

Dr. Florence Upendo Rashidi, a Tanzanian Christian of Yao tribe descent, was born on February 21, 1982, in Dar es Salaam. She holds a Bachelor’s degree in Computer Science from Makerere University, a Master’s in Engineering in Communication and Information Systems from Huazhong University of Science and Technology, and a Doctorate in Computer Science and Technology from Hunan University. Florence has served in various capacities in academia, including as a lecturer at the University of Dodoma, where she also held administrative roles such as Acting Principal of the College of Informatics and Virtual Education. Her expertise extends to research, with projects funded by organizations like UDOM and COSTECH, focusing on ICT applications in areas such as child abuse reporting and maternal health. Additionally, she’s been involved in consultancy projects, outreach activities promoting STEM education, and mentorship programs for women in cybersecurity. Florence’s academic journey and professional contributions underscore her commitment to advancing technology and education in Tanzania.

Professional Profile:

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πŸŽ“ Education:

Dr. Florence Upendo Rashidi pursued her academic journey with zeal and determination, earning her Bachelor of Science in Computer Science from Makerere University, Uganda. Continuing her quest for knowledge, she furthered her studies and obtained a Master’s in Engineering in Communication and Information Systems from Huazhong University of Science and Technology, China. Undeterred by challenges, she pursued her passion for cutting-edge research and academic excellence, culminating in the attainment of a Doctor of Engineering in Computer Science and Technology from Hunan University, China. Through her academic pursuits, Dr. Rashidi has demonstrated a commitment to pushing the boundaries of knowledge in her field and contributing to the advancement of technology on a global scale.

πŸ‘©πŸΎβ€πŸ« Work Experience:

Dr. Florence Upendo Rashidi serves as a dedicated Lecturer at the University of Dodoma, where her responsibilities span teaching both undergraduate and postgraduate students, conducting groundbreaking research, and providing guidance to master’s students under her supervision. Her academic journey has been enriched by her dynamic engagement in various leadership capacities within the university, including stints as Acting Principal, Head of Department, and Coordinator. Prior to her academic tenure, Dr. Rashidi garnered valuable experience in the professional arena, holding pivotal roles such as Systems Analyst, Information System Officer, and Head of Section at esteemed institutions like the Institute of Finance Management and CRDB Bank PLC. Through her diverse experiences, Dr. Rashidi has demonstrated a commitment to both academic excellence and practical application in the field of computer science and technology.

πŸ” Research & Projects:

Dr. Florence Upendo Rashidi has been instrumental in leading and contributing to numerous research projects funded by esteemed organizations such as the University of Dodoma (UDOM), LACUNA, and COSTECH. Her expertise and dedication have been pivotal in advancing knowledge and addressing pressing issues in her field. Additionally, Dr. Rashidi has lent her consultancy skills to impactful projects like “Scouting and Mapping dark spots for Community Internet Connectivity,” funded by UNICEF Tanzania. Through her involvement in these initiatives, she has demonstrated a deep commitment to leveraging technology for the betterment of communities and promoting inclusive access to the internet.

Publication Top Notes:

  1. Spectrum slicing WDM for FSO communication systems under the heavy rain weather
    Published Year: 2017
    Journal: Optics Communications
    Cited By: 71
  2. Performance Analysis of Free Space Optical Communication Under the Effect of Rain in Arusha Region, Tanzania
    Published Year: 2014
    Journal: International Journal of Engineering Research & Technology
    Cited By: 13
  3. Analysis of rain effect in free space optical communication under NRZ modulation in two regions of Tanzania
    Published Year: 2014
    Journal: International Journal of Advanced Engineering and Nanotechnology
    Cited By: 8
  4. Performance investigation of FSO–OFDM communication systems under the heavy rain weather
    Published Year: 2017
    Journal: Journal of Optical Communications
    Cited By: 7
  5. Migrant From On Wall Notice-Board To An Online Announcement Displaying System For Tanzanian College’s
    Published Year: 2014
    Journal: International Journal of Research in Computer Applications and Robotics

 

 

 

 

Mr. Anil Gankotiya | Networking Award | Wireless Communication Innovator Award

Mr.Anil Gankotiya | Networking Award | Wireless Communication Innovator Award

Mr. Anil Gankotiya, Galgotias University, India

Anil Kr. Gankotiya is an Assistant Professor at the School of Computing Science & Engineering, Galgotias University, with a rich academic background spanning over twelve years. Prior to his current position, he served as a Senior Faculty in the IT Vertical at iNurture Education Solutions Pvt. Ltd. and as an Assistant Professor at Raj Kumar Goel Institute of Technology & Management. He holds a Ph.D. pursuit in Computer Science & Engineering from Uttarakhand Technical University, along with an M.E. from PEC University of Technology and a B.E. from Kumaon Engineering College. Anil is an accomplished author with a published technical book and several patents to his credit. He is an active member of IEEE and ACM and has received numerous accolades, including GATE qualification four times. Anil’s research interests lie in areas such as big data analytics, machine learning, and cybersecurity, as evidenced by his publications in esteemed journals and presentations at international conferences.

Professional Profile:

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πŸŽ“ Education:

Anil Kr. Gankotiya is a driven scholar currently pursuing his Ph.D. in Computer Science & Engineering at Uttarakhand Technical University, Dehradun, India. His academic journey began with a Master’s degree in Computer Science & Engineering from PEC University of Technology, Chandigarh, India, where he honed his skills and deepened his understanding of the field. Prior to his postgraduate studies, he completed his Bachelor’s degree in Computer Science & Engineering from Kumaon Engineering College, Dwarahat, India, laying the foundation for his academic and professional pursuits. This progressive academic trajectory reflects his commitment to continuous learning and advancement in the field of computer science and engineering.

πŸ’Ό Experience:

Anil Kr. Gankotiya has amassed a wealth of experience in academia and educational leadership throughout his career. He served as an Assistant Professor at Raj Kumar Goel Institute of Technology & Management (formerly RKGITW) in Ghaziabad, India, for over a decade, from 2010 to 2022. During his tenure, he demonstrated exceptional leadership skills by assuming the role of Head of Department for eight years, overseeing academic initiatives and fostering a conducive learning environment. Additionally, he played a pivotal role as the Coordinator of the National Innovation and Startup Policy (NISP) for two years, contributing to the promotion of innovation and entrepreneurship within the institution. Following his tenure at RKGITM, Anil transitioned to iNurture Education Solutions Pvt. Ltd. in Bangalore, India, where he served as a Senior Faculty member from 2022 to 2023, further enriching his pedagogical expertise and contributing to the education sector. This diverse experience underscores his dedication to academic excellence and leadership in higher education.

πŸ† Achievements:

Anil Kr. Gankotiya has achieved notable milestones throughout his career, reflecting his dedication and expertise in the field of computer science and engineering. His exceptional academic prowess is evident from his accomplishment of qualifying the Graduate Aptitude Test in Engineering (GATE) a remarkable four times, demonstrating his strong foundation and proficiency in the subject matter. In recognition of his outstanding leadership and contributions to academic excellence, he was honored with a Certificate of Appreciation during his tenure as Head of Department, underscoring his commitment to fostering a culture of learning and achievement. Furthermore, Anil has made significant contributions to the field through his publication of a technical book titled “Fundamentals of Big Data Analytics,” which showcases his expertise and insights in this rapidly evolving domain. These accolades reflect Anil’s passion for advancing knowledge and his dedication to excellence in academia and research.

Publication Top Notes:

  1. A comparative study of moodle with other e-learning systems
    • Authors: S. Kumar, AK Gankotiya, K Dutta
    • Conference: 2011 3rd International Conference on Electronics Computer Technology
    • Published Year: 2011
  2. An investigation of wireless sensor network: A distributed approach in smart environment
    • Authors: S. Singhal, AK Gankotiya, S Agarwal, T Verma
    • Conference: 2012 Second International Conference on Advanced Computing & Communication
    • Published Year: 2012
  3. Denial of service attacks and detection methods in wireless mesh networks
    • Authors: S. Seth, A Gankotiya
    • Conference: 2010 International Conference on Recent Trends in Information
    • Published Year: 2010
  4. A comparative study between wireless local area networks and wireless mesh networks
    • Authors: S. Seth, A Gankotiya, A Jindal
    • Conference: 2010 Second International Conference on Computer Engineering and
    • Published Year: 2010
  5. Current state of art research issues and challenges in wireless mesh networks
    • Authors: S. Seth, A Gankotiya, A Jindal
    • Conference: 2010 Second International Conference on Computer Engineering and
    • Published Year: 2010

 

 

Assoc Prof Dr. Yuchuan Fu | AI in Network | Best Researcher Award

Assoc Prof Dr. Yuchuan Fu | AI in Network | Best Researcher Award

Assoc Prof Dr. Yuchuan Fu, Xidian University, China

πŸ‘©β€πŸŽ“ Dr. Yuchuan Fu, a Ph.D. graduate in Telecommunications Engineering from Xidian University (2020), is currently an Associate Professor at Xidian University’s School of Telecommunications Engineering. She pursued joint Ph.D. studies at Carleton University, Canada, and has garnered acclaim for her 47 publications in esteemed journals and conferences, earning accolades such as the Outstanding Doctoral Thesis Award and the Best Paper Award at DIVANet’23. Her expertise lies in Artificial Intelligence for Internet of Vehicles and Intelligent Transportation Systems, with notable contributions recognized by prestigious entities like the China Electronics Education Society. Dr. Fu’s impactful research, including 2 ESI highly cited papers and 1 hot paper, underscores her commitment to advancing telecommunications. πŸ†πŸ”πŸ“š

🌐 Professional Profiles :

Scopus

Google Scholar

πŸŽ“ Education:

Dr. Yuchuan Fu received her Ph.D. degree from Xidian University, China, in Telecommunications Engineering in 2020.

πŸ‘©β€πŸ’Ό Experience:

She is currently serving as an Associate Professor at the School of Telecommunications Engineering, Xidian University, Shaanxi, China. Dr. Fu was a joint Ph.D. student with Carleton University, Canada, from 2018 to 2019.

πŸ† Achievements:

Dr. Fu’s research interests include AI for Internet of Vehicles, Internet of Things, and Intelligent Transportation Systems. She has published 47 papers in prestigious journals and conferences, with several being highly cited. Her research has earned her recognition through numerous awards, including the Outstanding Doctoral Thesis Award and Best Paper Awards at international conferences.

πŸ”¬ Research Focus:

Her current academic focus lies in the areas of Internet of Vehicles and Intelligent Transportation Systems.

πŸ“š Notable Honors:

  • Outstanding Doctoral Thesis Award (China Electronics Education Society, 2020)
  • Outstanding Achievement Award (Special Prize, Shaanxi Higher Education Institutions Science and Technology Research, 2022)
  • Best Paper Award (DIVANet’23 International Conference)
  • Best Demo Award Winner (12th NEEE/CIC International Conference on Communications in China)
  • Best Student Paper Award (ADHOCNETS 2018 International Conference)

πŸ“šΒ Publication Impact and Citations :

Scopus Metrics:

  • πŸ“Β Publications: 45 documents indexed in Scopus.
  • πŸ“ŠΒ Citations: A total of 648 citations for his publications, reflecting the widespread impact and recognition of Dr. Yuchuan Fu’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 911 πŸ“–
    • h-index: 15Β  πŸ“Š
    • i10-index: 18 πŸ”
  • Since 2018:
    • Citations: 899 πŸ“–
    • h-index: 15 πŸ“Š
    • i10-index: 18 πŸ”

πŸ‘¨β€πŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. πŸŒπŸ”¬

Publications Top Notes :

  1. Vehicle position correction: A vehicular blockchain networks-based GPS error sharing framework
    • Published in IEEE Transactions on Intelligent Transportation Systems in 2020.
    • 113 citations.
  2. A decision-making strategy for vehicle autonomous braking in emergency via deep reinforcement learning
    • Published in IEEE Transactions on Vehicular Technology in 2020.
    • 100 citations.
  3. Vehicular blockchain-based collective learning for connected and autonomous vehicles
    • Published in IEEE Wireless Communications in 2020.
    • 95 citations.
  4. A mobility-aware vehicular caching scheme in content centric networks: Model and optimization
    • Published in IEEE Transactions on Vehicular Technology in 2019.
    • 90 citations.
  5. A survey of blockchain and intelligent networking for the metaverse
    • Published in IEEE Internet of Things Journal in 2022.
    • 78 citations.