Dinesh Sharma | Computer Science | Best Researcher Award

Dr. Dinesh Sharma | Computer Science | Best Researcher Award

Dr. Dinesh Sharma, Manipal University Jaipur, India

Dr. Dinesh Sharma holds a Ph.D. in Computer Science and Engineering from Uttarakhand and an M.E. from C-DAC, Pune. With over 14 years of experience in technical and engineering education, he currently serves as an Associate Professor at Manipal University Jaipur. He has published multiple patents, including innovations in animal wellbeing and waste management. Dr. Sharma is a technical committee member for various international conferences and has acted as a guest editor for respected journals. He is also an AICTE High-Performance Computing Master Trainer, dedicated to advancing technology in education. ๐ŸŒโœจ

 

Publication profile

Scopus

Qualification

Dr. Dinesh Sharma is an accomplished academic in the field of Computer Science and Engineering, holding a Ph.D. from Uttarakhand Technical University. He also earned a Masterโ€™s degree in CSE from C-DAC, Pune, and a Bachelor’s degree from R.G.P.V., Bhopal. With over 14 years of experience in technical education, he currently serves as an Associate Professor at Manipal University Jaipur. Dr. Sharma has a strong research background, with multiple patents and publications focusing on innovative technologies. His contributions to academia include serving as a reviewer for numerous journals and as a technical committee member for various international conferences. ๐ŸŒโœจ

 

Professional Achievements ๐Ÿ†

Dr. Dinesh Sharma has made significant contributions to academia and industry, serving as a Guest Editor for a special issue on “Industrial System Pioneering in Industry 4.0” in the Journal of New Materials and Electrochemical Systems. He is an AICTE High-Performance Computing Master Trainer and has been invited as a session chair at numerous international conferences, including IEEE CSNT and CICN. Dr. Sharma coordinated a five-day Faculty Development Program on IoT at Amity University and served as an Associate Editor for Pragyan Journal of Information Technology. Additionally, he reviews for various SCI, IEEE, and Scopus-indexed journals. ๐ŸŒโœจ

 

Awards & Guided Projects ๐Ÿ…

Dr. Dinesh Sharma has successfully mentored CSE students who achieved remarkable milestones, including securing international funding of $1,000 and $250 from Latrobe University Technology Grand Challenge, where one project also won the 1st runner-up prize. Under his guidance, Mr. Ashish Kumar Mishra developed a โ€œSmart Attendance System,โ€ earning 1st position in a national challenge organized by Amazon and receiving โ‚น35,000. Additionally, Ms. Priyanshi Gupta won โ‚น30,000 and the runner-up prize at the “Gwalior Smart City Tech Challenge 2020.” Dr. Sharma also led the development of the web conferencing platform “Bharat Live” for online activities. ๐ŸŒ๐ŸŽ‰

 

Professional Experience ๐Ÿ“š

Dr. Dinesh Sharma brings over 14 years of expertise in technical and engineering education, specializing in software development with 8 years of freelance experience in C#, ASP.Net, PHP, Java, and Android app development. Currently, he serves as an Associate Professor in Data Science and Engineering at Manipal University Jaipur since August 2023, where he is also a software developer, KPI coordinator, and E-cell coordinator. Previously, he worked as an Assistant Professor at Amity University Madhya Pradesh and IMS Unison University, contributing significantly as a software developer and coordinator for various academic initiatives. His journey began as the Head of the Computer Science & Engineering Department at Amardeep College of Engineering and Management. ๐ŸŽ“๐Ÿ’ป

 

Conclusion

Dr. Dinesh Sharmaโ€™s qualifications, innovative research contributions, professional achievements, and mentorship make him an exemplary candidate for the Best Researcher Award. His commitment to advancing technology and educating future generations in the field of computer science is commendable, and he is well-deserving of this recognition.

 

Publication Top Notes

  • Neural network-based soil parameters predictive coordination algorithm for energy efficient wireless sensor networkCited by: 0 (2024) ๐Ÿพ
  • Automatic detection and classification of plant leaf diseases using image processing: A surveyCited by: 1 (2023) ๐ŸŒฑ
  • Enhancing Feature Extraction in Plant Image Analysis through a Multilayer Hybrid DCNNCited by: 0 (2023) ๐Ÿ–ผ๏ธ
  • Comparative Analysis of Skin Cancer Detection Using Classification AlgorithmsCited by: 1 (2023) ๐ŸŽ—๏ธ
  • Face Mask Detection Analysis for Covid19 Using CNN and Deep LearningCited by: 3 (2022) ๐Ÿ˜ท
  • Energy Efficient Multitier Random DEC Routing Protocols for WSN: In AgriculturalCited by: 18 (2021) ๐ŸŒพ
  • A new energy efficient multitier deterministic energy-efficient clustering routing protocol for wireless sensor networksCited by: 34 (2020) ๐Ÿ’ก
  • Comparative energy evaluation of lEACH protocol for monitoring soil parameter in wireless sensors networkCited by: 7 (2018) ๐ŸŒ
  • Enhance PeGASIS algorithm for increasing the life time of wireless sensor networkCited by: 6 (2018) โšก

Oussama Mounnan | Computer Science | Best Researcher Award

Mr. Oussama Mounnan | Computer Science | Best Researcher Award

Mr. Oussama Mounnan, Paris 8 University, France

Based on the detailed information provided about Mr. Oussama Mounnan, he appears to be a strong candidate for the “Best Researcher Award” due to his extensive experience and achievements in the field of cybersecurity, deep learning, and biometric access control. Below is a summary of his qualifications and contributions:

Publication profile

Professional Experience

Mr. Mounnan has been working as a Security Engineer since October 2015 at Weberfly-group in Marrakech, Morocco. He is responsible for managing, administering, and configuring network security systems, including firewalls, routers, switches, and VPN access. His role also includes performing network traffic analysis, implementing security policies, conducting security audits, and managing incidents. Additionally, he has experience in ethical hacking and penetration testing using various tools. Previously, he co-founded OussamaWeb, where he focused on IT maintenance, web development, and application creation from 2007 to 2015.

Research and Academic Background

Mr. Mounnan is currently pursuing a PhD in Computer Science at Ibn Zohr University-Agadir, Morocco, in collaboration with Paris 8 University, France. His research focuses on speech recognition using deep learning for biometric access control, a field that intersects artificial intelligence and cybersecurity. He has previously conducted research at the Oscar laboratory of Cadi Ayyad University, where he designed and tested systems for access control within the context of Big Data.

Technical Skills and Certifications

He has a comprehensive skill set covering programming languages (HTML, C, Python, Java), network security, system administration, virtualization, and data management tools. His certifications include ITIL V4, Prince2 Foundation, and various cybersecurity and machine learning credentials from Google, Coursera, and Fortinet. These certifications underline his commitment to staying updated in the rapidly evolving fields of IT security and data science.

Education

Mr. Mounnan holds a Masterโ€™s degree in Services, System Security, and Networks from the University of Lorraine, France, and a Bachelorโ€™s degree in Networks and Telecommunications from Universitรฉ Littoral Cรดte d’Opale, France. He has also completed specialized training in software engineering and information systems.

Additional Skills and Interests

He is proficient in English, French, and German at an advanced level. His interests include swimming, martial arts, reading, music, and scientific research, reflecting a well-rounded personality committed to both personal and professional development.

Publication Top Notes

  • Privacy-aware and authentication based on blockchain with fault tolerance for IoT enabled fog computing ๐ŸŒ๐Ÿ” | Cited by: 21 | Year: 2020
  • Decentralized access control infrastructure using blockchain for big data ๐Ÿ“Š๐Ÿ”— | Cited by: 10 | Year: 2019
  • Using blockchain based authentication solution for the remote surgery in tactile internet ๐Ÿฅ๐Ÿ–ฅ๏ธ | Cited by: 5 | Year: 2021
  • Anomaly detection for big data security: a benchmark ๐Ÿ”๐Ÿ”’ | Cited by: 3 | Year: 2021
  • Efficient Distributed Access Control using Blockchain for Big Data in Clouds โ˜๏ธ๐Ÿ“ˆ | Cited by: 3* | Year: 2019
  • A novel approach based on blockchain to enhance security with dynamic policy updating ๐Ÿ”„๐Ÿ” | Cited by: 1 | Year: 2020
  • A Review on Deep Anomaly Detection in Blockchain ๐Ÿ“š๐Ÿ›ก๏ธย  Year: 2024
  • Deep Speech Recognition System Based on AutoEncoder-GAN for Biometric Access Control ๐ŸŽค๐Ÿง ย  Year: 2023
  • Deep Learning-Based Speech Recognition System using Blockchain for Biometric Access Control ๐Ÿง ๐Ÿ”— Year: 2022
  • Towards a Privacy preserving Machine Learning based Access Control for the Internet of Things ๐ŸŒ๐Ÿค–ย  Year: 2022


Conclusion

Mr. Oussama Mounnan’s blend of practical experience, academic research, and extensive certifications make him a suitable candidate for the “Best Researcher Award.” His work in cybersecurity and deep learning, particularly in speech recognition for biometric access, highlights his significant contributions to these fields.

Federico Iannacci | Information Systems | Best Researcher Award

Dr. Federico Iannacci | Information Systems | Best Researcher Award

Dr. Federico Iannacci, University of Sussex, United Kingdom

Dr. Federico Iannacci appears to be a strong candidate for the Best Researcher Award based on his academic background and research contributions. Here are some key points that support his suitability for the award:

Publication profile

Extensive Academic Background:

Dr. Iannacci holds a PhD in Information Systems/Management from the London School of Economics, an MSc in Management from NJIT, and a degree in Economics and Finance from the University of Siena. This solid educational foundation has enabled him to excel in research and academia.

Significant Research Contributions:

Dr. Iannacci has published extensively in high-impact journals, including the Information Systems Journal, Journal of Information Technology, and European Management Review. His work focuses on information systems, digital technology in work environments, e-Government, and inter-organizational information sharing.

Editorial and Review Roles:

His role as a Senior Editor and former Associate Editor of the Information Systems Journal, as well as his involvement as a reviewer for various respected journals, underscores his expertise and recognition in the academic community.

Awards and Recognitions:

He has received awards such as the Golden Apple Award for teaching excellence and an LSE Research Studentship, reflecting his commitment to both research and education.

Professional Engagement:

Dr. Iannacci is actively involved in professional organizations like the Association for Information Systems (AIS) and the Qualitative Comparative Analysis (QCA) expertsโ€™ network. His participation in organizing conferences and serving as a track chair further highlights his active role in advancing his field.

Publication Top Notes

  • Information systems in the public sector: The e-Government enactment framework ๐Ÿ“Š – A Cordella, F Iannacci – The Journal of Strategic Information Systems – Cited by: 441 – Year: 2010
  • Reappraising maturity models in e-Government research: The trajectory-turning point theory ๐Ÿ“ˆ – F Iannacci, AP Seepma, C De Blok, A Resca – The Journal of Strategic Information Systems – Cited by: 89 – Year: 2019
  • Unravelling causal and temporal influences underpinning monitoring systems success: A typological approach ๐Ÿ” – F Iannacci, T Cornford – Information Systems Journal – Cited by: 57 – Year: 2018
  • When is an information infrastructure? Investigating the emergence of public sector information infrastructures ๐Ÿข – F Iannacci – European Journal of Information Systems – Cited by: 57 – Year: 2010
  • Coordination processes in open source software development: The Linux case study ๐Ÿ’ป – F Iannacci – Emergence: Complexity & Organization – Cited by: 53 – Year: 2005
  • Unpacking ostensive and performative aspects of organisational routines in the context of monitoring systems: A critical realist approach ๐Ÿ› ๏ธ – F Iannacci, KS Hatzaras – Information and Organization – Cited by: 42 – Year: 2012
  • The Linux managing model ๐Ÿง – F Iannacci – Valauskas, Edward J. – Cited by: 34 – Year: 2003
  • From acceptance to adaptive acceptance of social media policy change: A set-theoretic analysis of B2B SMEs ๐Ÿ“ฑ – F Iannacci, C Fearon, K Pole – Information Systems Frontiers – Cited by: 33 – Year: 2021
  • Beyond markets and firms ๐ŸŒ – F Iannacci, E Mitleton-Kelly – Valauskas, Edward J. – Cited by: 27 – Year: 2005
  • The economics of open-source networks ๐Ÿงฎ – F Iannacci – Communications & Strategies – Cited by: 25 – Year: 2002
  • Routines, artefacts and technological change: investigating the transformation of criminal justice in England and Wales โš–๏ธ – F lannacci – Journal of Information Technology – Cited by: 23 – Year: 2014


Conclusion

Dr. Iannacci’s extensive research output, academic service, and recognition within his field make him a strong candidate for a Best Researcher Award.

Daniso Beswa | Technology | Best Researcher Award

Dr. Daniso Beswa | Technology | Best Researcher Award

Senior lecturer, UNIVERSITY OF JOHANNESBURG, South Africa

Daniso Beswa is a distinguished senior lecturer and researcher at the University of Johannesburg, South Africa. With a deep commitment to advancing food security and nutrition, Dr. Beswa brings a wealth of expertise in food technology and security to his role. ๐ŸŒŸ

Publication Profile

Strengths for the Award:

  1. Extensive Research Contributions: Daniso Beswa has a robust portfolio of research in food science, particularly focusing on food security, indigenous food sources, and functional ingredients. His work on provitamin A-biofortified maize and the use of lesser-known local food sources highlights his commitment to addressing critical nutritional issues and advancing food science.
  2. High-Quality Publications: Beswa has a substantial number of peer-reviewed journal articles and book chapters, showcasing his research impact. His publications in respected journals such as Foods (Basel), Molecules, and the International Journal of Food Science reflect the quality and relevance of his work.
  3. Supervision and Mentoring: He has successfully supervised numerous postgraduate students, including PhD and MSc candidates. This demonstrates his role in fostering the next generation of researchers and his ability to guide and mentor emerging scientists.
  4. Community Engagement: Beswaโ€™s involvement in community projects, such as the Gwakwani Extended Projects and teaching at local schools, indicates his commitment to applying his research in practical, community-centered contexts.
  5. Professional Development and Teaching: His ongoing professional development and extensive teaching experience in food science and technology further support his expertise and contribution to the field.

Areas for Improvement:

  1. Broader Impact and Outreach: While Beswaโ€™s research is focused and impactful, increasing outreach efforts and translating his findings into policy recommendations or broader public awareness could enhance the societal impact of his work.
  2. Grant Funding and Collaborations: Securing more substantial research grants and fostering international collaborations could elevate the scope and scale of his research projects, leading to potentially groundbreaking advancements in food technology and security.
  3. Diversification of Research Topics: Expanding research into new and emerging areas of food science, such as sustainable food systems or innovative food processing technologies, could further enhance his research profile.

Conclusion:

Daniso Beswa is a highly deserving candidate for the Best Researcher Award. His extensive contributions to food science and technology, significant research output, successful supervision of postgraduate students, and community engagement underscore his exceptional qualifications. Addressing areas for improvement, such as expanding outreach and securing more research funding, could further enhance his already impressive impact in the field.

 

Education:

Dr. Beswa earned his PhD in Food Security from the University of KwaZulu-Natal, where his research centered on provitamin A-biofortified maize and its role in combating vitamin A deficiency. He also holds a Masterโ€™s in Food Technology from the University of Johannesburg, focusing on innovative uses of composite flours in breadmaking. ๐ŸŽ“

Experience:

As a senior lecturer at the University of Johannesburg, Dr. Beswa has conducted significant research into indigenous and lesser-known food sources as functional food ingredients. His work aims to enhance food security and nutritional quality through practical applications and innovative solutions. ๐Ÿ“š

Research Focus:

Dr. Beswa’s current research explores the potential of indigenous and less commonly used local food sources as functional ingredients, investigating their health benefits and applications in food technology. His past research has also delved into the use of biofortified maize and composite flours. ๐Ÿ”ฌ

Awards:

Dr. Beswa has been recognized for his contributions to food security and technology, although specific awards are not listed, his work is highly regarded in the field for its impact on addressing global nutritional challenges. ๐Ÿ†

Publications

  1. Effect of Cowpea and Pumpkin Powders on the Physicofunctional Properties, Total Phenolic Content, Antioxidant Activity, and Consumer Acceptability of Soup
    International Journal of Food Science
    2024-01
  2. Effect of Common Cooking and Drying Methods on Phytochemical and Antioxidant Properties of Corchorus olitorius Identified Using Liquid Chromatography-Mass Spectrometry (LC-MS)
    Molecules
    2022-12-19
  3. Cannabis sativa Cannabinoids as Functional Ingredients in Snack Foodsโ€”Historical and Developmental Aspects
    Plants
    2022-12-01
  4. Prospective Role of Indigenous Leafy Vegetables as Functional Food Ingredients
    Molecules
    2022-11-18
  5. Quantification of Oil Fractions of Deep-Fried Wheat Dough and Batter Enriched with Oat and Wheat Bran
    Journal of Food Quality

 

Sureshkumar Chelladurai | Information Technology | Best Researcher Award

Dr. Sureshkumar Chelladurai | Information Technology | Best Researcher Award

Dr. Sureshkumar Chelladurai, Vel Tech Rangarajan Dr Sangunthala R and D Institute of Science and Technology, India

Dr. Sureshkumar Chelladurai is a seasoned academic with over 12 years of experience in IT education. He currently serves as an Assistant Professor at Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology. Previously, he taught at Anna University, BIT campus, and Maha Barathi Engineering College. Dr. Chelladurai holds a Ph.D. in ICE from Anna University, an M.E. in CSE from Annamalai University, and a B.Tech in IT from SVCET, Tenkasi. His expertise spans programming languages, networks, cloud computing, operating systems, compiler design, and machine learning. ๐Ÿš€๐Ÿ“š

Publication Profile

Orcid

Experience ๐Ÿง‘โ€๐Ÿซ

Dr. Sureshkumar Chelladurai is a seasoned academic with a wealth of experience in teaching and research. He began his career as an Assistant Professor of IT at Maha Barathi Engineering College in Kallakurichi, Tamil Nadu, serving from June 2011 to July 2014, totaling 37 months. He then moved to Anna University, BIT Campus, Tiruchirappalli, Tamil Nadu, where he worked as a Teaching Fellow in IT from January 2015 to December 2023, accumulating 107 months of experience. Currently, Dr. Chelladurai holds the position of Assistant Professor of IT at Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, starting in December 2024. With over 12.3 years of experience, Dr. Chelladurai has established himself as a dedicated and knowledgeable educator.

Education ๐ŸŽ“

Dr. Chelladurai’s academic journey is marked by significant achievements. He completed his Ph.D. in Instrumentation and Control Engineering from Anna University, Chennai, in 2023. Prior to this, he earned his M.E. in Computer Science and Engineering from Annamalai University, Chidambaram, in 2011, with a commendable OGPA of 7.9. He also holds a B.Tech in Information Technology from SVCET, Puliyangudi, Tenkasi, Tamil Nadu, graduating in 2008 with a percentage of 69. His early education includes a Higher Secondary Certificate (HSC) from H.N.U.C. Hr. Sec. School, Puliyangudi, with a percentage of 76 in 2003, and a Secondary School Leaving Certificate (SSLC) from the same institution, where he scored 86% in 2000.

Research Focus

Dr. Sureshkumar Chelladurai’s research primarily revolves around enhancing the efficiency and security of wireless sensor networks (WSNs). His work spans various crucial aspects, including reducing traffic overhead, developing adaptive frameworks for spatial data, and implementing secure trust-based group key generation algorithms. Additionally, he focuses on improving energy efficiency and intrusion detection within WSNs using advanced techniques like fuzzy-based authentication and clustering. Dr. Chelladurai’s contributions significantly impact areas such as networks, cloud computing, machine learning, and cybersecurity, aiming to create more robust and efficient network systems. ๐ŸŒ๐Ÿ”๐Ÿ“ก

 

Publication Top Notes

  • Adaptive Graphical Routing Methodology for Reducing Traffic Overhead in Wireless Sensor Networks ๐Ÿ›ค๏ธ๐Ÿ“ก
    • Publication: Signal, Image and Video Processing
    • Year: 2023
    • DOI: 10.1007/s11760-023-02834-2
    • Contributors: C. Sureshkumar, S. Sabena, L. Sai Ramesh
    • Cited by: –
  • Design of an Adaptive Framework with Compressive Sensing for Spatial Data in Wireless Sensor Networks ๐Ÿ–ผ๏ธ๐ŸŒ
    • Publication: Inventive Computation and Information Technologies
    • Year: 2021Secure Trust-Based Group Key Generation Algorithm for Heterogeneous Mobile Wireless Sensor Networks ๐Ÿ”‘๐Ÿ“ฑ
    • Contributors: S. Sabena, C. Sureshkumar, L. Sai Ramesh, A. Ayyasamy
  • Fuzzy-Based Secure Authentication and Clustering Algorithm for Improving the Energy Efficiency in Wireless Sensor Networks ๐Ÿ”๐ŸŒฟ
    • Publication: Wireless Personal Communications
    • Year: 2020
    • DOI: 10.1007/s11277-020-07113-8
    • Contributors: C. Sureshkumar, S. Sabena
  • Time of Development and Fitness Analysis of Modified COCOMOII Model for Software Projects ๐Ÿ•’๐Ÿ’ป
    • Publication: International Journal of Recent Technology and Engineering
    • Year: 2019
    • Contributors: Sivakumar, D., Sureshkumar, C.
  • Diagnosis Prognosis and Prevention of Breast Cancer Based on Present Scenario of Human Life ๐ŸŽ—๏ธ๐Ÿ‘ฉโ€โš•๏ธ
    • Publication: Proceedings – 2018 International Conference on Communication, Information and Computing Technology, ICCICT 2018
    • Year: 2018
    • Contributors: Isaac, L.D., Sureshkumar, C.
  • An Efficient Intrusion Detection System for Cyber Attack using Multi-Tier Application ๐Ÿ”๐Ÿ’ผ
    • Publication: INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT)
    • Year: 2018
    • Contributors: Dr. Sureshkumar C
  • Effort Estimation of Software Projects with Optimized Coefficients using Soft Computing Technique ๐Ÿงฎ๐Ÿ“Š
    • Publication: 2017 Conference on Emerging Devices and Smart Systems, ICEDSS 2017
    • Year: 2017
    • Contributors: Sivakumar, D., Sureshkumar, C.
  • An Optimized Image Denoising in Impulse Noise Images using Firefly-Based Parallel Type 2 Fuzzy Filtering Approaches ๐Ÿ“ธโœจ
    • Publication: Journal of Computational and Theoretical Nanoscience
    • Year: 2016
    • Contributors: Revathi, D., Sureshkumar, C.
  • Solution to Uncertainty Using Random Forests for Predicting Mobile User Behavior ๐Ÿ“ฑ๐Ÿ”ฎ
    • Publication: Journal of Computational and Theoretical Nanoscience
    • Year: 2016
    • Contributors: K Kandasamy, C Sureshkumar

Wilberforce Murikah | Computer Science | Best Researcher Award

Mr. Wilberforce Murikah | Computer Science | Best Researcher Award

Mr. Wilberforce Murikah,United States International University- Africa, Kenya

๐Ÿ‘จโ€๐Ÿ’ผ Mr. Wilberforce Murikah, based in Nairobi, Kenya, is an accomplished Information Systems Auditor and emerging scholar. With a background in Computer Information Systems and ongoing studies in Information Systems & Technology at USIU-Africa, he brings over 8 years of expertise in data strategy development and governance. His research focuses on transparency gaps and gender biases in AI, using mixed methods approaches. Wilberforce has led impactful projects in AI ethics, including finalist recognition at the Oxford African Society Seed Fund and significant contributions to automated audit reporting solutions in the energy sector. ๐Ÿ“Š

Publication profile

Scopus

Orcid

Education

Master of Science, Information Systems & Technology, United States International University – Africa (Ongoing)

Bachelor of Science, Computer Information Systems, Kenya Methodist University

Professional Experience

Wilberforce has contributed significantly in roles such as Internal Auditor at Hass Petroleum Group and Information Systems Auditor at Jubilee Insurance Company, where he implemented automated audit reporting solutions and enhanced data governance frameworks. He also served as an IT Projects Manager at Solarkiosk Solutions, overseeing ERP system implementations across multiple countries.

 

Research Focus

Wilberforce Murikah’s research primarily focuses on the bias and ethics of AI systems applied in auditing. His systematic review, published in Scientific African, critically examines the implications of AI on auditing practices, emphasizing ethical considerations and bias mitigation strategies. By analyzing 83 high-quality publications spanning from 2018 to 2023, Murikah contributes valuable insights into how AI technologies influence transparency and fairness in financial auditing processes. His work underscores the importance of developing governance frameworks that address ethical challenges posed by AI, aiming to ensure equitable outcomes in financial decision-making.

Publication Top Notes

Masoud Fathali | Engineering | Best Researcher Award

Masoud Fathali | Engineering | Best Researcher Award

Assist Prof Dr Masoud Fathali, Road, Housing and Urban Development Research Center, Iran

Masoud Fathali, PhD, is an accomplished researcher in Civil & Environmental Engineering, specializing in Railway Engineering. He earned his PhD from Amirkabir University of Technology and completed postdoctoral studies in Railway Engineering at Iran University of Science and Technology in collaboration with Luleรฅ University of Technology, Sweden. His research explores the impact of innovative materials like Tire Derived Aggregates on railway ballast properties. Masoud has authored numerous publications and books on railway standards, recognized with several awards for his contributions to Iran’s railway sector. Fluent in English and Persian, he is a pivotal figure in advancing railway infrastructure. ๐Ÿš„

 

Publication profile

google scholar

orcid

Education

Masoud Fathali is an accomplished researcher with a PhD in Civil & Environmental Engineering from Amirkabir University of Technology and postdoctoral studies in Railway Engineering from Iran University of Science and Technology in collaboration with Luleรฅ University of Technology, Sweden. His expertise lies in railway infrastructure, focusing on the effects of innovative materials like Tire Derived Aggregates on railway ballast properties. Masoud has authored numerous publications and books on railway standards, receiving several awards for his contributions. Fluent in English and Persian, he has made significant advancements in Iran’s railway engineering sector. ๐Ÿš„

Honors & Awards

Masoud Fathali is a distinguished figure in railway engineering, with a robust record of achievements and recognitions. He has been honored as the Superior Researcher by the Iran Ministry of Roads & Urban Development, and has received accolades from various organizations, including letters of appreciation from the Iran Plan & Budget Organization for his contributions to railway infrastructure development. Masoud’s expertise extends internationally, highlighted by his role as Project Coordinator for the Tehran-Qom-Esfahan High-Speed Railway with China Railway Group Limited. His academic prowess is evidenced by top-ranked articles and awards, cementing his reputation as a leader in the field. ๐Ÿš„

Experience

Masoud Fathali has a rich and diverse background in railway engineering spanning over two decades. Currently serving as Head of the Transportation Department and Assistant Professor, he leads initiatives focused on optimizing rail infrastructure in challenging environments like desert railways. His expertise includes overseeing projects such as the development of anti-vibration mats and conducting vibration evaluations for railway and metro lines. Masoud has also contributed significantly to the advancement of Iranian railway standards and the implementation of high-speed rail systems. His passion for innovation and quality management is evident in his role as a consultant and project manager, ensuring robust rail infrastructure solutions nationwide. ๐Ÿš„

Research focus

Masoud Fathali’s research focuses on railway infrastructure, particularly the impact of innovative materials such as Tire Derived Aggregates (TDA) on railway ballast properties. His work spans degradation analysis of flexible pavements, development of track geometry assessment techniques, and evaluation of slab track performance in desert railways. Fathali also explores the influence of TDA mixed with ballast on ground-borne vibrations and has developed degradation models for life cycle assessments of railway materials. His expertise contributes significantly to enhancing railway durability and performance. ๐Ÿš„

Publication top notes

Influence of tire-derived aggregates on the properties of railway ballast material

Deterioration analysis of flexible pavements under overweight vehicles

Development of a new track geometry assessment technique incorporating rail cant factor

Evaluation of humped slab track performance in desert railways

A new two-phase method for damage detection in skeletal structures

Effects of rail cant on wheel-rail contact forces in slab tracks

A new degradation model for life cycle assessment of railway ballast materials

Reliability assessment of transmission line towers using metaheuristic algorithms

Deterioration analysis of concrete bridges under inadmissible loads from the fatigue point of view

Size and shape reliability-based optimization of dome trusses