Rahul Charles C M | Engineering | Innovative Research Award

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Innovative Research Award

Rahul Charles C M
College of Engineering Muttathara, India
Rahul Charles C M
Affiliation College of Engineering Muttathara
Country India
Google Scholar ID 25ggLCsAAAAJ
Documents 8
Citations 68
h-index 4
Subject Area Engineering
Event Global Innovation Technologist Awards

The Innovative Research Award recognizes research activity demonstrating meaningful contributions to technological and engineering development. Rahul Charles C M, affiliated with the College of Engineering Muttathara, has developed a research profile centred on electric vehicles, power electronic converters, renewable energy systems, electrical machines and energy storage technologies. His published works reflect continued engagement with applied engineering challenges associated with sustainable mobility and modern power systems.[1]

Abstract

Rahul Charles C M is an engineering researcher whose scholarly work addresses power electronics, renewable energy integration, electric vehicle technologies and electrical energy storage. His research output includes studies on bidirectional DC-DC converters, doubly fed induction generators and hybrid energy storage systems. These areas are relevant to the development of efficient and sustainable electrical transportation and power generation infrastructure.[2]

Keywords

Electric Vehicles; Power Electronics; Renewable Energy; Wind Energy Systems; Energy Storage; DC-DC Converters; Electrical Engineering.

Introduction

Engineering research increasingly requires integrated approaches to energy efficiency, renewable generation and intelligent power conversion. Rahul Charles C M has contributed to this broader field through research examining electrical machines, energy management and converter-based systems. His work addresses practical technological requirements while maintaining relevance to sustainable energy and transportation applications.[3]

Research Profile

The research profile of Rahul Charles C M is associated with engineering investigations involving electric drive systems, wind energy conversion and energy storage technologies. His scholarly record includes eight documented research publications with 68 citations and an h-index of 4, according to the supplied research profile data. His work demonstrates a continuing interest in technologies supporting efficient electrical power utilisation and sustainable engineering systems.[1]

Research Contributions

  • Investigation of bidirectional DC-DC converter systems for BLDC motor applications in electric vehicles.
  • Research on field-oriented control of DFIG-based wind energy systems with battery energy storage integration.
  • Analysis of hybrid energy storage approaches for improving electric vehicle energy management.
  • Contribution to multifunctional onboard power electronic converter research for transportation applications.[4]

Publications

Selected publications include research on bidirectional converters for electric vehicles, field-oriented control of wind energy systems, doubly fed induction generators and hybrid energy storage systems. The publication record spans conference proceedings and engineering journals, indicating engagement with both theoretical and application-oriented research dissemination.[2]

Research Impact

Citation activity associated with the research profile indicates scholarly engagement with work concerning renewable power systems and electric mobility. The most cited studies include research on DC-DC converter-fed electric vehicle systems and battery-supported wind energy control. These publications contribute to technical discussions surrounding power conversion, machine control and energy storage integration.[5]

Award Suitability

The research activities of Rahul Charles C M align with the objectives of the Innovative Research Award through their focus on technological innovation and engineering applications. His contributions to electric vehicle power systems, renewable energy technologies and advanced energy storage provide a relevant basis for academic recognition within the Global Innovation Technologist Awards framework.[6]

Conclusion

Rahul Charles C M has established a focused research profile within electrical and energy engineering. His published contributions address contemporary challenges in electric mobility, renewable generation and power electronic systems. The Innovative Research Award profile acknowledges this body of scholarly work and its relevance to continuing technological development.

References

  1. Google Scholar. (n.d.). Rahul Charles C M: Research publications and citation profile. Google Scholar.
    https://scholar.google.com/citations?hl=en&user=25ggLCsAAAAJ
  2. Charles, R., & Savier, J. S. (2021). Bidirectional DC-DC converter fed BLDC motor in electric vehicle. International Conference on Advances in Electrical and Computing Technologies.
    https://scholar.google.com/citations?hl=en&user=25ggLCsAAAAJ&view_op=list_works
  3. Charles, C. M. R., Vinod, V., & Jacob, A. (2016). Field oriented control of DFIG based wind energy system using battery energy storage system. Procedia Technology, 24, 1203–1210.
    https://doi.org/10.1016/j.protcy.2016.05.127
  4. Charles, C. M. R., & Savier, J. S. (2022). An overview on hybrid energy storage systems for electric vehicles. International Journal of Electric and Hybrid Vehicles, 14(1–2), 56–64.
    https://scholar.google.com/citations?hl=en&user=25ggLCsAAAAJ&view_op=list_works
  5. Charles, C. M. R., Vinod, V., & Jacob, A. (2015). Field oriented control of Doubly Fed Induction Generator in wind power system. IEEE International Conference on Computational Intelligence and Computing Research.
    https://scholar.google.com/citations?hl=en&user=25ggLCsAAAAJ&view_op=list_works
  6. Global Innovation Technologist Awards. (n.d.). Innovation and technology recognition platform.
    innovationtechnologist.com

YΔ±lmaz Erbil | Engineering | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

YΔ±lmaz Erbil
Γ‡ukurova University, Turkey

YΔ±lmaz Erbil
Affiliation Γ‡ukurova University
Country Turkey
Scopus ID 24824338200
Documents 8
Citations 140
h-index 6
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0000-0001-7077-2733

YΔ±lmaz Erbil is a researcher affiliated with Γ‡ukurova University whose publication record is situated within engineering and textile-related research. The documented body of work includes studies of core and dual-core yarn structures, denim fabric performance, hemp-containing fabrics, moisture and air-transfer properties, and functional polymeric materials. His recent publications provide a basis for evaluating research activity in relation to applied materials and textile engineering.

Abstract

The research profile of YΔ±lmaz Erbil reflects an applied engineering orientation with particular emphasis on textile structures and performance. Recent work examines mechanical properties of hemp-containing denim fabrics with core-engineered weft yarns, air permeability and water-vapour transmission in hemp-blended denim, and improvements in dual-core yarn structures. Earlier research investigated core and dual-core cotton yarn structures for denim applications, while a separate study addressed chitosan hydrogel functionality. These publications collectively indicate an interest in linking material architecture with measurable performance characteristics. [1] [2]

Keywords

Textile engineering; hemp denim; dual-core yarn; core yarn; fabric performance; air permeability; water vapour transmission; mechanical properties; cotton microfiber; chitosan hydrogel.

Introduction

Textile engineering increasingly integrates yarn architecture, alternative fibres and functional materials to improve fabric performance. Erbil’s documented publications address this intersection through experimental investigations of yarn and fabric properties. The research is particularly relevant to denim, where yarn construction can influence mechanical and comfort-related characteristics. [3]

Research Profile

The supplied research metrics report 8 documents, 140 citations and an h-index of 6. The profile is associated with Engineering and Γ‡ukurova University in Turkey. These indicators provide bibliometric context, while the publication subjects provide qualitative evidence of a focused research direction.

Research Contributions

  • Investigation of mechanical performance in hemp-containing denim fabrics using core-engineered weft yarns. [1]
  • Comparative examination of hemp blend ratio, weft count and dual-core architecture in denim comfort properties. [2]
  • Development-oriented study of cotton-microfiber hybrid sheaths in dual-core yarn structures. [3]

Publications

Recent publications include Mechanical Performance of Hemp-Containing Denim Fabrics with Core-Engineered Weft Yarns (Fibers, 2026), Air Permeability and Water Vapour Transmission in Hemp-Blended Denim Fabrics (Textiles, 2026), and Property improvement in dual-core yarn structure using cotton-microfiber hybrid sheath for textile applications (International Journal of Clothing Science and Technology, 2026). Earlier work includes Performance of Core & Dual-core Cotton Yarn Structures on Denim Fabrics (Journal of Natural Fibers, 2022). [1] [2] [3] [5]

Research Impact

The reported citation count and h-index indicate measurable scholarly visibility. The research also has applied relevance because yarn architecture and fabric composition are directly connected with textile performance parameters. The combination of structural yarn studies and newer hemp-denim investigations suggests continuity in the research programme. The supplied Scopus metrics should be interpreted as a bibliometric snapshot rather than a complete measure of research quality.

Award Suitability

For the Innovative Research Award category, the profile presents relevant evidence through a focused sequence of engineering publications addressing yarn design, textile materials and fabric performance. The 2026 studies extend this direction toward hemp-containing denim and dual-core architectures, while earlier publications demonstrate continuity in the investigation of engineered yarn structures. [1] [5]

Conclusion

YΔ±lmaz Erbil’s documented research profile demonstrates an engineering-focused publication record centered substantially on textile materials, yarn construction and denim performance. The combination of bibliometric indicators and recent peer-reviewed publications provides a substantive basis for consideration within an innovation-oriented academic recognition framework.

References

  1. Erbil, Y. (2026). Mechanical Performance of Hemp-Containing Denim Fabrics with Core-Engineered Weft Yarns. Fibers.
    https://doi.org/10.3390/fib14090095
  2. Erbil, Y. (2026). Air Permeability and Water Vapour Transmission in Hemp-Blended Denim Fabrics: A Comparative Study of Hemp Blend Ratio, Weft Count and Dual-Core Weft Architecture. Textiles.
    https://doi.org/10.3390/textiles6030089
  3. Erbil, Y. (2026). Property improvement in dual-core yarn structure using cotton-microfiber hybrid sheath for textile applications. International Journal of Clothing Science and Technology.
    https://doi.org/10.1108/IJCST-09-2025-0166
  4. Erbil, Y. (2024). Synthesis, characterization, and antibacterial effect of St. John’s wort oil loaded chitosan hydrogel. International Journal of Biological Macromolecules.
    https://doi.org/10.1016/j.ijbiomac.2024.129444
  5. Erbil, Y. (2022). Performance of Core & Dual-core Cotton Yarn Structures on Denim Fabrics. Journal of Natural Fibers.
    https://doi.org/10.1080/15440478.2021.1982837
  6. Elsevier. (n.d.). Scopus author details: YΔ±lmaz Erbil, Author ID 24824338200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=24824338200

Vidya Nandikolla | Engineering | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Vidya Nandikolla
California State University, United States

Vidya Nandikolla
Affiliation California State University
Country United States
Scopus ID 8339231200
Documents 25
Citations 136
h-index 5
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0000-0002-4151-4783

Vidya Nandikolla is an engineering researcher whose published work addresses robotics, simultaneous localization and mapping (SLAM), brain-computer interfaces (BCI), machine learning, and intelligent robotic control. The research portfolio demonstrates an interdisciplinary connection between computational methods, sensing, human–robot interaction, and autonomous systems. [1]

Abstract

The Innovative Research Award profile recognizes Vidya Nandikolla’s contributions to engineering research involving autonomous robotics, SLAM, robotic teleoperation, and BCI-enabled assistive systems. Her publications examine navigation, obstacle avoidance, brain-signal processing, machine learning, and robotic control, reflecting a research direction centered on intelligent and human-interactive robotic technologies. [3]

Keywords

Robotics; SLAM; brain-computer interface; teleoperation; machine learning; LiDAR; autonomous navigation; obstacle avoidance; robotic assistive systems; engineering innovation.

Introduction

Nandikolla’s research sits at the intersection of robotics and intelligent computational systems. Published studies investigate how sensing, localization, learning, and human control can be integrated into mobile and assistive robots. Her work on EEG-based BCI teleoperation further extends robotics toward interfaces that can translate brain activity into control commands. [5]

Research Profile

  • Engineering research focused on robotics and autonomous systems.
  • Research emphasis on SLAM, navigation, and obstacle avoidance.
  • Integration of BCI, machine learning, and robotic teleoperation.

Research Contributions

Key contributions include evaluation of Extended Kalman Filter odometry for 2D LiDAR SLAM, omnidirectional mobile-robot obstacle avoidance, EEG-based robotic arm teleoperation, and semi-autonomous assistive robotics using SLAM. Additional work has examined machine-learning approaches for harvesting brain signals. [3] [4] [5] [6] [7]

Publications

The publication record includes peer-reviewed studies in robotics, SLAM, BCI, and engineering diagnostics. A 2026 Sensors article evaluates Extended Kalman Filter odometry in 2D LiDAR SLAM, while earlier publications address obstacle avoidance, BCI teleoperation, assistive mobile robotics, and machine-learning methods for brain signals. [3] [7]

Research Impact

The supplied research profile records 25 documents, 136 citations, and an h-index of 5. These indicators provide quantitative context for the research record, while the publication topics demonstrate sustained engagement with robotics and intelligent engineering systems. Citation metrics should be interpreted alongside publication quality, research relevance, and scholarly contribution. [1]

Award Suitability

The profile is relevant to the Innovative Research Award because it presents a coherent body of engineering research addressing autonomous navigation, robotic intelligence, human–machine interfaces, and assistive technologies. The combination of experimental robotics and computational methods provides an appropriate scholarly basis for consideration within the Global Innovation Technologist Awards. [3] [5]

Conclusion

Vidya Nandikolla’s research profile reflects a multidisciplinary engineering program connecting robotics, SLAM, machine learning, BCI, and teleoperation. The documented publication record and citation indicators provide evidence of scholarly activity, while the thematic consistency of the work supports its relevance to an innovation-focused academic recognition program.

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Vidya Nandikolla, Author ID 8339231200. Scopus.
    https://www.scopus.com/pages/authors/8339231200
  2. Merrick, C., & Nandikolla, V. (2026). Evaluating the Impact of Extended Kalman Filter Odometry on the Performance of 2D LiDAR SLAM Algorithms. Sensors.
    https://doi.org/10.3390/s26175468
  3. Nandikolla, V., & Ghoslin, B. (2023). Obstacle Avoidance for Omnidirectional Mobile Robot Using SLAM. ASME Journal of Engineering and Science in Medical Diagnostics and Therap.
    https://doi.org/10.1115/1.4055689
  4. Nandikolla, V., & Medina Portilla, D. A. (2022). Teleoperation Robot Control of a Hybrid EEG-Based BCI Arm Manipulator Using ROS. Journal of Robotics, 2022.
    https://doi.org/10.1155/2022/5335523
  5. Matsuno, K., Nandikolla, V., Ghoslin, B., & Medina Portilla, D. A. (2022). A brain-computer interface for teleoperation of a semi-autonomous mobile robotic assistive system using SLAM. Journal of Robotics.
    https://doi.org/10.1155/2021/6178917
  6. Matsuno, K., & Nandikolla, V. (2022). Harvesting brain signals using machine learning methods. ASME Journal of Engineering and Science in Medical Diagnostics and Therapy.
    https://doi.org/10.1115/1.4053064

Koteswara Rao Yerra | Engineering | Best Research Article Award

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Best Research Article Award

Koteswara Rao Yerra
Texas A&M University, United States

Koteswara Rao Yerra
Affiliation Texas A&M University
Country United States
Scopus ID 7201581139
Documents 90
Citations 4,645
h-index 41
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0000-0001-6063-904X

Koteswara Rao Yerra is a researcher associated with Texas A&M University whose scholarly record spans engineering and interdisciplinary research areas. The profile presented for the Best Research Article Award considers publication activity, citation performance, research continuity, and recent article-level contributions. The available publication record includes work addressing antimicrobial photodynamic therapy, microbial infection mechanisms, oxidative stress, and bioactive compounds, illustrating engagement with research questions that connect engineering-oriented methods with biomedical and molecular applications.[1]

Abstract

This article summarizes the academic profile and recent publication contributions of Koteswara Rao Yerra in relation to the Best Research Article Award. Particular attention is given to recent studies concerning antimicrobial photodynamic therapy against Klebsiella pneumoniae, the enhancement of antibiotic activity, inflammatory mechanisms in Neisseria gonorrhoeae-infected macrophages, and investigations involving bioactive compounds. These publications demonstrate a continuing interest in scientifically defined therapeutic and mechanistic research problems.[2][3]

Keywords

Antimicrobial photodynamic therapy; Klebsiella pneumoniae; photosensitizers; antibiotics; NLRP3 inflammasome; oxidative stress; bioactive compounds; engineering research.

Introduction

Research article recognition commonly evaluates the quality, relevance, originality, and documented scholarly influence of published work. Within this context, Yerra’s recent publications address antimicrobial resistance and infection-related biological processes through experimental approaches involving light-activated therapeutic strategies and combined treatment modalities. Such topics remain relevant to interdisciplinary research because they connect technological intervention with microbiological and pharmacological investigation.[2]

Research Profile

The available Scopus profile identifies 90 documents, 4,645 citations, and an h-index of 41. These indicators provide a quantitative overview of publication output and citation visibility, while the ORCID record supports persistent researcher identification across scholarly information systems.[1]

Research Contributions

A recent contribution examines dual-photosensitizer antimicrobial photodynamic therapy and its combination with antibiotics against Klebsiella pneumoniae. Related work investigates methylene blue and Photodithazine as combined photosensitizers and evaluates approaches intended to enhance antibiotic effects through photodynamic treatment.[2][3][4]

Publications

  • Dual-Photosensitizer Antimicrobial Photodynamic Therapy (DaPDT) and Its Combination with Antibiotics, Pharmaceutics (2026).
  • Cinnamaldehyde inhibits the NLRP3 inflammasome and inflammatory response, Journal of Traditional and Complementary Medicine (2026).
  • The Combined Photosensitizers in Antimicrobial Photodynamic Therapy, International Journal of Molecular Sciences (2025).
  • Enhancing Antibiotic Effect by Photodynamic, Antibiotics (2025).

Research Impact

Citation indicators suggest sustained visibility across the documented publication record. An h-index of 41, together with 4,645 citations, provides evidence of repeated citation to a substantial portion of the researcher’s indexed work. These metrics are descriptive indicators and should be interpreted alongside publication quality, disciplinary context, collaboration patterns, and the specific contribution of individual articles.[1]

Award Suitability

The profile is suitable for consideration under the Best Research Article Award category because it combines an established indexed publication record with recent article contributions addressing defined scientific problems. The antimicrobial photodynamic therapy studies provide a focused example of research examining alternative or complementary approaches to bacterial treatment, while related mechanistic work broadens the documented scope of investigation.[2][5]

Conclusion

Koteswara Rao Yerra’s documented academic profile reflects a combination of publication productivity, citation impact, and recent research activity. The selected articles demonstrate continued engagement with antimicrobial treatment strategies, inflammatory response mechanisms, and bioactive compounds. Taken together, these elements provide a structured basis for academic recognition within the Global Innovation Technologist Awards framework.

References

  1. Elsevier. (n.d.). Scopus author details: Koteswara Rao Yerra, Author ID 7201581139. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7201581139
  2. Yerra, K. R., et al. (2026). Dual-Photosensitizer Antimicrobial Photodynamic Therapy (DaPDT) and Its Combination with Antibiotics: A New Investigation Modality Against Klebsiella pneumoniae.
    https://doi.org/10.3390/pharmaceutics18050587
  3. Yerra, K. R., et al. (2025). The Combined Photosensitizers in Antimicrobial Photodynamic Therapy: The Case of Methylene Blue and Photodithazine Against Klebsiella pneumoniae. International Journal of Molecular Sciences.
    https://doi.org/10.3390/ijms262010211
  4. Yerra, K. R., et al. (2025). Enhancing Antibiotic Effect by Photodynamic: The Case of Klebsiella pneumoniae. Antibiotics.
    https://doi.org/10.3390/antibiotics14080766
  5. Yerra, K. R., et al. (2026). Cinnamaldehyde inhibits the NLRP3 inflammasome and inflammatory response by reducing oxidative stress in Neisseria gonorrhoeae-infected macrophages. Journal of Traditional and Complementary Medicine.
    https://doi.org/10.1016/J.JTCME.2025.06.003

Nawaz Ali | Engineering | Best Researcher Award

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Mr. Nawaz Ali | Engineering | Best Researcher Award

Student at University of Calabria, Sweden

Nawaz Ali is a telecommunications engineer, researcher, and academic with extensive experience in telecommunication networks, database management, and technical education. He has worked in various capacities, including industry roles in GSM networks, IT assistance, and academia, where he has contributed to research and curriculum development. His research interests focus on wireless communications, cognitive radio, vehicular networks, and cloud-based applications.

Publication ProfileΒ 

Google Scholar

Educational Background πŸŽ“

  1. Master of Science in Applied Telecommunications and Engineering Management (MASTEAM)

    • Polytechnic University of Catalonia (BarcelonaTech), Spain (2017-2018)

    • Thesis: Performance Comparison of a Platooning Scenario Using EE 802.11p

  2. Master of Science in Mobile and Satellite Communication

    • University of Surrey, UK (2009-2010)

    • Thesis: Performance Evaluation of Spectrum Sensing Techniques in Cognitive Radio

  3. Bachelor of Engineering in Telecommunication Engineering

    • Mehran University of Engineering & Technology, Pakistan (2004-2007)

    • Thesis: Block Error Rate Analysis for WCDMA

  4. Certifications & Training:

    • 5G Implementation: Practices and Case Studies (ITU/Universiti Teknologi Malaysia, 2021)

    • Introduction to Internet of Things (IoT) Certification (Simplilearn, 2021)

    • Wireless Networks Certification Training (CellCom, 2005)

    • Optical Fiber Specialization (NA Telecom Technologies, 2006)

    • CCNA 5.0 (Computer Training and Testing Center, 2006)

    • Graduate Record Examination (GRE) (Score: 329/340)

Professional Experience πŸ’Ό

  1. Assistant Professor (2014 – Present)

    • Quaid-e-Awam University of Engineering, Science & Technology (Pakistan)

    • Teaching and supervising projects related to telecommunication engineering.

  2. Director Skill Standards & Curricula (BS-19) (2013)

    • National Vocational & Technical Training Commission (Pakistan)

    • Developed national occupational standards and curricula for technical training programs.

  3. Assistant Professor (2011-2013)

    • Quaid-e-Awam University of Engineering, Science & Technology (Pakistan)

    • Delivered courses in telecommunication engineering.

  4. IT Assistant (2009-2010)

    • Shabester-Accountants & Tax Advisors (UK)

    • Managed database security, recovery, and user training.

  5. BSS Engineer (2008-2009)

    • Egyptian Pakistani Telecommunications Services (EPTSC) (Pakistan)

    • Installed and maintained GSM networks and microwave transmission links.

Research Interests πŸ”¬

  • Wireless Communication Networks

  • Cognitive Radio & Spectrum Sensing

  • Internet of Things (IoT)

  • Vehicular Ad-Hoc Networks (VANETs)

  • Machine Learning for Communication Systems

Awards and HonorsπŸ†βœ¨

  • Secured research grants and collaborations in telecommunications.

  • Recognized for contributions to vocational education and training programs.

  • High GRE score (329/340).

Conclusion🌟

Nawaz Ali is an accomplished telecommunications engineer, educator, and researcher with expertise in mobile communication, network security, and IoT applications. His work spans both academia and industry, focusing on wireless networks and emerging technologies. His contributions to curriculum development and technical training have played a crucial role in advancing vocational and higher education in telecommunications.

Publications πŸ“š

πŸ“Œ Dynamic Application Partitioning and Task-Scheduling Secure Schemes for Biosensor Healthcare Workload in Mobile Edge Cloud
πŸ“– A. Lakhan, J. Li, T.M. Groenli, A.H. Sodhro, N.A. Zardari, A.S. Imran, …
πŸ“š Electronics 10(22), 2797 (2021)
πŸ“Š Citations: 30

πŸš— Adaptive Mobility-Aware and Reliable Routing Protocols for Healthcare Vehicular Network
πŸ“– N.A. Zardari, R. Ngah, O. Hayat, A.H. Sodhro
πŸ“š Mathematical Biosciences and Engineering 19(7), 7156-7177 (2022)
πŸ“Š Citations: 18

πŸ“‘ Spectrum Sensing in ISM Band Using Cognitive Radio
πŸ“– N. Sohu, N.A. Zardari, M.A. Rahu, A.A. Mirani, N.H. Phulpoto
πŸ“š Quaid-E-Awam University Research Journal of Engineering, Science … (2019)
πŸ“Š Citations: 11

πŸ–₯ Implementation of Huffman Decoder on FPGA
πŸ“– S.A. Dahri, A.F. Chandio, N.A. Zardari
πŸ“š International Journal of Engineering Research & Applications 6(1), 84-88 (2016)
πŸ“Š Citations: 2

☁️ Simulators for System Dataset Generation in the Edge-to-Cloud Continuum
πŸ“– N. Ali, G. Aloi, P. Pace, M. Gianfelice, F. Pupo, R. Gravina, G. Fortino
πŸ“š 20th International Conference on Distributed Computing in Smart Systems (2024)
πŸ“Š Citations: 1

🏭 Edge-Cloud Continuum Driven Industry 4.0
πŸ“– N. Ali, G. Aloi, F. De Rango, C. Savaglio, R. Gravina
πŸ“š Procedia Computer Science 253, 2586-2594 (2025)

🎨 Design and Development of GUI for the Mitigation of Chromatic Dispersion: A New Approach
πŸ“– B. Das, N.A. Zardari, F. Deeba, D.K. Ramnani
πŸ“š Sukkur IBA Journal of Emerging Technologies 5(1), 19-31 (2022)

ABLA CHAOUNI BENABDELLAH | Engineering | Best Researcher Award

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Assist. Prof. Dr. ABLA CHAOUNI BENABDELLAH | Engineering | Best Researcher Award

BEST RESEARCHER at International University of rabat, Morocco

Abla Chaouni Benabdellah is an Assistant Professor of Supply Chain Management and Information Systems at Rabat Business School, International University of Rabat (UIR). She holds a Ph.D. in Industrial Engineering from Moulay Ismail University, Meknes, and a Master’s in Mathematics and Statistics from Mohamed V University, Rabat. With extensive teaching experience across various institutions including EUROMED University and Private University of Fez, she specializes in project management, risk management, and supply chain strategies.

Publication Profile :Β 

Scopus

πŸŽ“ Educational Background :

  • Ph.D. in Industrial Engineering (2016 – 2019), Moulay Ismail University, ENSAM, Meknes
  • Master in Mathematics and Statistics (2012 – 2014), Mohamed V University, Rabat
  • Bachelor in Applied Mathematics (2009 – 2012), Moulay Ismail University, Faculty of Science, Meknes
  • Baccalaureate in Mathematics (2008 – 2009), Moulay Ismail College, Meknes

πŸ’Ό Professional Experience :

  • Assistant Professor of Supply Chain Management & Information Systems (Since 2022), Rabat Business School, International University of Rabat (UIR), Rabat
  • Human Resources Consultant (2021), Expert Human Capital (EHC), Casablanca
  • Professor (2020), School of Digital Engineering and Artificial Intelligence (EIDIA), EUROMED University, Fez
  • Professor (2020), Private University of Fez, Fez
  • Seminar Presenter (2020), “Holonic Multi-Agent Systems for Decision Making -Application to Knowledge Management-“, ENSAM, MeknΓ¨s
  • Doctoral Course Instructor (2019), Statistical Modeling with R Software, ENSAM-MeknΓ¨s
  • Coordinator (2018), Artificial Intelligence and Data Science Master, SUPMTI, Meknes
  • Professor (2016), Higher School of Management, Telecommunications and IT (SUPMTI), Meknes

πŸ“š Research Interests :Β 

  • Supply Chain Management
  • Industrial Engineering
  • Digital Supply Chains
  • Blockchain Technology
  • Artificial Intelligence and Data Science
  • Statistical Modeling

πŸ“ Publication Top Notes :

  1. Blockchain Technology in Supply Chains: Discusses blockchain’s role in enhancing digital supply chains and evaluates implementation barriers.
  2. Big Data Analytics in Supplier Selection: Explores a multi-agent system for supplier selection using big data analytics.
  3. Smart Product Design and Digital Agility: Develops an ontology for managing agility in digital product design.
  4. Blockchain and Smart Contracts in Automotive Supply Chains: Examines how blockchain and smart contracts can optimize automotive supply chains.
  5. Medical Waste Management Optimization: A multi-agent system approach for improving medical waste management.
  6. Sustainable Supplier Selection in Circular Economy: Uses an ontology-based model to improve supplier selection under a circular economy framework.
  7. Environmental Supply Chain Risk Management: Proposes a data mining framework for managing supply chain risks in Industry 4.0.
  8. Lean and Green Practices in Supply Chains: Integrates lean and green practices to enhance sustainable and digital supply chain performance.
  9. Digital Technologies and Circular Economy: Investigates how digital technologies support sustainable supply chain management post-COVID-19.
  10. Circular Digital Supply Chain Design: Focuses on sustainable design practices within digital supply chains.
  11. Supplier Selection Ontology: Develops an ontology for effective supplier selection in digital supply chains.
  12. Intersection of Design for X and Business Strategies: Analyzes the integration of design techniques and business strategies for product lifecycle management.
  13. Knowledge Discovery for Sustainability: Discusses methods for enhancing sustainability through knowledge discovery in design processes.