Rami Ahmad El-Nabulsi | Network Science Excellence Award | Quantum Optical Networks

Network Science Excellence Award

Rami Ahmad El-Nabulsi
CESNET, Czech Republic

Rami Ahmad El-Nabulsi
Affiliation CESNET
Country Czech Republic
Scholar ID 2LDk56EAAAAJ
Documents 100
Citations 76
h-index 47
Subject Area Quantum Optical Networks
Event International Research Awards on Network Science & Graph Analytics

Rami Ahmad El-Nabulsi  associated with the analysis, modeling, and development of interconnected systems. Rami Ahmad El-Nabulsi, affiliated with CESNET in the Czech Republic, is presented in this academic recognition context for work associated with Rami Ahmad El-Nabulsi  research area that connects principles of quantum information with network architectures and communication systems. Network-based approaches provide a framework for examining complex relationships among physical, computational, and informational components, while quantum networking extends these concepts toward communication protocols involving quantum states and entanglement. [1][3]

Abstract

This article presents an academic recognition profile for Rami Ahmad El-Nabulsi of CESNET, Czech Republic, in connection with the Network Science Excellence Award. The stated research subject is Quantum Optical Networks, an interdisciplinary field involving network science, quantum information, optical communication, and distributed information systems. The profile records 100 documents, 76 citations, and a reported h-index of 47 as supplied for the recognition record. The award is associated with the International Research Awards on Network Science & Graph Analytics and emphasizes scholarly activity relevant to network-oriented research.

Keywords

Network Science; Quantum Optical Networks; Quantum Networking; Graph Analytics; Optical Communication; Quantum Information; Complex Networks; Network Research; CESNET; Research Excellence.

Introduction

Network science studies systems through entities, relationships, topology, dynamics, and measurable patterns of interaction. Its methods have been applied across technological, biological, social, and information systems. Foundational network research established mathematical and empirical approaches for characterizing connectivity and structural organization. [1][2] Quantum networking introduces additional considerations because information can be encoded in quantum states and because network functionality may depend on phenomena such as entanglement and quantum measurement. [3]

Quantum optical networks are particularly relevant to the intersection of network science and photonic communication. Optical components can provide physical channels for transmitting quantum information, while network-level architectures address routing, synchronization, resource management, security, and interoperability. The field therefore requires coordination between theoretical models and practical communication infrastructures. [3][4]

Research Profile

Rami Ahmad El-Nabulsi is identified in the supplied recognition information as a researcher affiliated with CESNET in the Czech Republic. The stated subject area is Quantum Optical Networks. The supplied scholarly indicators comprise 100 documents, 76 citations, and an h-index of 47. These figures are presented as profile data supplied for this article and may change as bibliographic databases are updated.

The research profile is situated within a broader interdisciplinary environment in which network topology, communication technologies, quantum information, and graph-based analysis can be studied together. Such an orientation is consistent with contemporary research that considers quantum networks as distributed systems requiring both physical-layer technologies and network-level protocols. [3][4]

Research Contributions

The stated specialization in Quantum Optical Networks places the research profile at the intersection of quantum communication and network science. Important research dimensions in this field include the representation of interconnected quantum nodes, characterization of communication resources, analysis of network structures, and development of methods for reliable transmission across optical channels. [3] These themes contribute to the broader scientific objective of understanding how quantum technologies can be organized into scalable communication infrastructures.

  • Analysis of network structures relevant to quantum and optical communication environments.
  • Interdisciplinary consideration of quantum information and network architecture.
  • Application of network-oriented perspectives to distributed communication systems.
  • Research activity contributing to the conceptual development of quantum networking.

Publications

The supplied profile records 100 documents. Because individual publication titles, journals, years, and bibliographic identifiers were not provided in the input data, this section does not assign specific publications to the researcher without verification. The document count is therefore treated as a profile-level indicator rather than a detailed publication bibliography. General scholarship in network science and quantum networking provides the academic context for the stated subject area. [1][3]

  1. The supplied research record reports 100 documents.
  2. The supplied citation record reports 76 citations.
  3. The reported h-index is 47 according to the primary profile data supplied for this article.

Research Impact

The supplied bibliometric indicators provide one quantitative description of scholarly visibility, while the broader significance of research in quantum optical networks is linked to the development of future communication infrastructures. Quantum networking research addresses challenges involving scalable architectures, quantum resources, interfaces, and reliable communication. [3][4] Network science contributes complementary analytical tools for understanding connectivity, resilience, and system-level behavior.

The reported citation count and h-index should be interpreted in relation to the databases, dates, disciplinary coverage, and counting methodologies used by individual indexing services. Consequently, bibliometric measures are most appropriately considered alongside the quality, reproducibility, relevance, and technical significance of individual research outputs.

Award Suitability

Based on the supplied information, the profile is relevant to a Network Science Excellence Award because its declared subject area, Quantum Optical Networks, directly concerns interconnected communication systems and the application of network-oriented concepts to quantum technologies. The recorded scholarly indicators also provide evidence of an established publication and citation record. Final award decisions, however, should be based on the official evaluation process, verified publications, research quality, originality, and documented contributions rather than bibliometric indicators alone.

Conclusion

Rami Ahmad El-Nabulsi is presented in the supplied award information as a CESNET-affiliated researcher from the Czech Republic whose subject area is Quantum Optical Networks. The profile records 100 documents, 76 citations, and a reported h-index of 47. The research area occupies an interdisciplinary position between network science, quantum information, and optical communications. In this context, the Network Science Excellence Award provides a framework for recognizing research activity connected with the analysis and development of advanced networked systems.

References

  1. Newman, M. E. J. (2003). The structure and function of complex networks. SIAM Review, 45(2), 167–256. https://doi.org/10.1137/S003614450342480.
  2. Barabási, A.-L., & Albert, R. (1999). Emergence of scaling in random networks. Science, 286(5439), 509–512. https://doi.org/10.1126/science.286.5439.509.
  3. Wehner, S., Elkouss, D., & Hanson, R. (2018). Quantum internet: A vision for the road ahead. Science, 362(6412), eaam9288. https://doi.org/10.1126/science.aam9288.
  4. Kimble, H. J. (2008). The quantum internet. Nature, 453, 1023–1030. https://doi.org/10.1038/nature07127.

 

Milton Mondal | Mathematical Modelling | Best Researcher Award

Dr. Milton Mondal | Mathematical Modelling | Best Researcher Award

Amrita Vishwa Vidyapeetham, Coimbatore | India

Dr. Nikhil Sudhir Sathe (PhD), currently associated with Laboratory Animal Research Services (LARS), is a distinguished researcher with over 20 years of expertise in drug discovery and preclinical evaluation of new chemical entities. His extensive professional experience encompasses in vitro genotoxicology, cell and microbial culture (aerobic, anaerobic, and viral systems including rabies virus), and small laboratory animal studies. Throughout his career at Reliance Life Sciences, Vimta Labs, Dabur Research Centre, and Wockhardt Research Centre, Dr. Sathe has demonstrated exceptional proficiency in GLP-compliant laboratory practices, including bacterial reverse mutation, chromosomal aberration, micronucleus, ELISA, cytotoxicity, and microbial monitoring assays. His early research contributions involved innovative in vitro models for evaluating the efficacy of antimicrobial and cosmetic products. Academically, he holds a Master’s and Bachelor’s degree in Microbiology from Shivaji University, Kolhapur, both with distinction. Dr. Sathe has contributed significantly to scientific literature with publications in reputed journals such as Vaccine, Microbial Pathogenesis, Infectious Medicine, and BioMed, focusing on bacteriophage therapy and vaccine development against multidrug-resistant pathogens and SARS-CoV-2. His scholarly achievements are complemented by active participation in national conferences and workshops, reflecting his deep commitment to advancing microbiological and biomedical research.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"Dynamics of a phytoplankton–zooplankton model with three-dimensional patch under the impacts of hydrodynamic conditions", M Mondal, CS Rao, T Zhang, Mathematics and Computers in Simulation, 2025.

"Bloom dynamics under the effects of periodic driving forces", M Mondal, T Zhang, Mathematical Biosciences, 2025.

"Mathematical Modelling and Analysis of Harmful Algal Bloom", M Mondal, Bulletin of the Australian Mathematical Society, 2024.

Sharif Iraqu | Material Science | Best Researcher Award

Dr. Sharif Iraqu | Material Science | Best Researcher Award

Indira Gandhi National Tribal University | India

Dr. Sharif Iraqu is a dedicated researcher and academician in the field of Chemistry, currently serving as a Guest Lecturer at the Department of Chemistry, Naveen Government Girls College, Pendra Road, Chhattisgarh. He completed his Ph.D. in Chemistry from Indira Gandhi National Tribal University (a Central University established by an Act of Parliament, Government of India), Amarkantak, Madhya Pradesh, with his doctoral thesis focusing on “Selectivity in metal ion sensing and dye degradation capabilities of chalcopyrite and cadmium sulfide nanoparticles.” He also holds an M.Sc. (2020) and B.Sc. (Hons.) (2018) in Chemistry from the same university. Dr. Iraqu has contributed as a Project Associate at Indira Gandhi National Tribal University under a project funded by the Inter-University Accelerator Centre (IUAC), Delhi, and has been recognized with prestigious fellowships, including the UGC-University Fellowship (2021–2023) and IUAC Project Fellowship (2023–2024). His research primarily centers on the synthesis and characterization of nanomaterials with enhanced functionalities for environmental applications, such as wastewater treatment and pollutant removal. His work encompasses photocatalytic dye degradation, heavy metal ion sensing, insecticide detection, and theoretical studies using Density Functional Theory (DFT) to explore molecular interactions and reactivity. Dr. Iraqu’s future research aims to design functional semiconductor nanomaterials and heterojunction architectures for efficient water purification, environmental remediation, and large-scale photocatalytic applications, bridging theoretical insights with experimental advancements for sustainable technological solutions.

Profiles: Orcid 

Featured Publications

"Bi-functional aqueous starch capped CdS quantum dots synthesis and their application as sensor of heavy metal-ions as well as photocatalytic dye degradation, Journal of Molecular Liquids, Sajiya Iraqui; Arati Dubey; Irudhayaraj Savarimuthu; Ajay Shankar; Adhish Jaiswal; Indra Bahadur; Imran Uddin; Faruq Mohammad, 2023"

Nurulhasanah Othman | Technological Networks | Best Researcher Award

Dr. Nurulhasanah Othman | Technological Networks | Best Researcher Award

University of Science | Malaysia

Dr. Nurulhasanah Othman is a distinguished researcher recognized for her extensive contributions in the fields of molecular parasitology, proteomics, and infectious disease research. As a Principal Investigator and Co-Researcher on numerous national and university-funded projects, her work reflects a deep commitment to advancing biomedical science and public health. She currently leads a national grant project under the Ministry of Education Malaysia (Kementerian Pendidikan Malaysia) focusing on elucidating the potential inhibitory roles of dextromethorphan and azathioprine targeting Rho GTPase to combat metronidazole-resistant E. histolytica HM1-IMSS (MTZR). Her collaborative projects span a range of innovative studies, including comparative proteome profiling in cervical cancer tissues, identification of immunogenic proteins in G. duodenalis, exploration of antibody profiles in Strongyloides stercoralis, and the development of novel multiplex qPCR assays for triple-negative breast cancer markers. Dr. Nurulhasanah has also served as the Principal Investigator for multiple University Sains Malaysia (USM) research grants, including investigations into pyrethroid resistance in Aedes aegypti, proteomic analyses of Entamoeba histolytica for vaccine development, and protein detection studies using MALDI-TOF/TOF technology. As a Co-Researcher, she has contributed to large-scale genome projects, such as the genomic and proteomic analyses of Malaysian mangrove crab species and horseshoe crabs, as well as molecular diagnostic assay development for Leptospira spp. detection. Through her leadership and interdisciplinary collaborations, Dr. Nurulhasanah has made significant strides in proteomic-based pathogen research, genomic studies, and the pursuit of novel molecular tools for disease control and therapeutic innovation.

Profiles: Orcid ID | Scopus

Featured Publications

"Application of Proteomics to the Study of the Therapeutics and Pathogenicity of Giardia duodenalis"

"Entamoeba histolytica: Membrane and Non-Membrane Protein Structure, Function, Immune Response Interaction, and Vaccine Development"

"A Review: Natural and Synthetic Compounds Targeting Entamoeba histolytica and Its Biological Membrane"

"Evaluation of Total Female and Male Aedes aegypti Proteomes Reveals Significant Predictive Protein–Protein Interactions, Functional Ontologies, and Differentially Abundant Proteins"

"Entamoeba histolytica: Proteomics Bioinformatics Reveal Predictive Functions and Protein–Protein Interactions of Differentially Abundant Membrane and Cytosolic Proteins"

Katerina Sergi | Translational Research | Best Researcher Award

Dr. Katerina Sergi | Translational Research | Best Researcher Award

Social Science Research Center at Mississippi State University | United States

Dr. Katerina Sergi is an accomplished educational psychologist with a Ph.D. from Mississippi State University, an M.A. in Applied Social Research, and a B.A. in Psychology from Queens College, CUNY. She currently serves as Assistant Research Professor at the Social Science Research Center, MSU, leading projects in early childhood education, early intervention, mental health awareness, and public health evaluation. Dr. Sergi has extensive experience in both research and applied settings, including roles as Research Associate at MSU, adjunct instructor at Delta State University, and international research coordinator in Greece. Her work encompasses quantitative and qualitative research, technical report authorship, and presentations at national and international conferences on topics ranging from early childhood development and educational interventions to assistive technology and AI applications in social science research. Dr. Sergi’s contributions have influenced policy, practice, and professional development, highlighting her commitment to evidence-based strategies that support children, families, and educational professionals.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"Down the Digital Delta: Health Information Inequities Among Rural Mississippi Caregivers"

"Compensation challenges in early childhood education: an analysis of Mississippi’s child care workforce"

"Assistive technology use in the workplace by people with blindness and low vision: Perceived skill level, satisfaction, and challenges"

"Factors That Influence Physical Activity in Individuals With Down Syndrome: Perspectives of Guardians and Health Professionals"

"Self-Regulatory Metacognitive Skill Use in Elementary Students During Computer and Paper Reading Assignments: A Qualitative Study"

Dipesh | Mathematical Modelling | Best Paper Award

Dr. Dipesh | Mathematical Modelling | Best Paper Award

SR University | India

Author Profile

Scopus

Orcid ID

Google Scholar

EARLY ACADEMIC PURSUITS

Dr. Dipesh began his academic journey with a strong foundation in mathematics, which ultimately led him to earn a Ph.D. in Mathematical Modelling. His doctoral work demonstrated a profound inclination toward theoretical and applied mathematics, particularly focusing on dynamic systems, delay differential equations, and bifurcation analysis. His dedication and scholarly potential were further underscored by his successful completion of a postdoctoral fellowship at Harran University, Turkey, where he deepened his research scope in mathematical and system modelling. His academic aspirations were visible early in his career, paving the way for numerous achievements and a future shaped by curiosity and rigorous inquiry.

PROFESSIONAL ENDEAVORS

Dr. Dipesh has held various academic and research positions across reputed institutions. Currently serving as an Assistant Professor in the Department of Mathematics at SR University, Telangana, he has also contributed significantly as a faculty member in Lovely Professional University (Punjab) in different departments, including the School of Chemical Engineering and the Department of Intellectual Property Rights. His experience spans teaching, research, and intellectual property management, showcasing his multidimensional capabilities. Notably, he coordinated national-level events such as RAFAS 2024 and workshops like the National Workshop on MATLAB and LaTeX (2016), reflecting his leadership and organizational acumen.

CONTRIBUTIONS AND RESEARCH FOCUS ON MATHEMATICAL MODELLING

Dr. Dipesh’s core research lies in the fields of mathematical modelling, system dynamics, and delay differential equations, with interdisciplinary applications spanning plant ecology, economics, public health, finance, and AI. His recent works analyze Hopf-bifurcations, stability of ecological systems, and chaos theory. He has authored multiple studies examining plant competition under allelopathic effects and extended his modelling frameworks to areas such as stock markets, hydrogel synthesis, digital ergonomics, and artificial intelligence systems. His contributions include copyright-registered mathematical software and models that reflect deep innovation in computational simulations.

IMPACT AND INFLUENCE

Through his teaching and research, Dr. Dipesh has influenced both academic and practical dimensions of applied mathematics. His workshops and lectures on Intellectual Property Rights have strengthened awareness and capability in patent drafting, FER response preparation, and legal aspects of innovation. His MATLAB-based simulation programs have had a measurable impact in facilitating accessible tools for examining ecological interactions and signal processing. His interdisciplinary research initiatives, particularly those exploring dynamic modelling in human-centric AI and financial systems, illustrate a far-reaching impact across disciplines and domains.

ACADEMIC CITES AND MEMBERSHIPS

Dr. Dipesh is a Life Member of the Agricultural Technology Development Society (ATDS) and has received significant accolades, including the Best Thesis Award (2023), Best Reviewer Award (2023) from the Asian Research Journal of Mathematics, and the prestigious Scientists Research Award (2025). These recognitions affirm his credibility and growing recognition in the academic community. Additionally, he has numerous papers under review in high-impact journals such as Alexandria Engineering Journal, Journal of Nonlinear Mathematical Physics, Computers and Electrical Engineering, and IEEE Transactions on Pattern Analysis and Machine Intelligence. His scholarly reach is increasing steadily, with his papers exploring cutting-edge intersections between mathematical theory and real-world application.

LEGACY AND FUTURE CONTRIBUTIONS

Dr. Dipesh envisions a career devoted to elevating institutional rankings, advancing quality teaching, and strengthening student placement strategies. His stated objective of fostering unity, optimizing resources, and engaging with the external environment underscores a visionary approach to institutional development. Looking ahead, his commitment to excellence, his interdisciplinary versatility, and his ability to bridge theory and practice position him as a future thought leader in mathematical modelling, sustainable system design, and AI-human interaction dynamics. He is expected to continue contributing transformative research and cultivating academic ecosystems that blend innovation, inclusivity, and global relevance.

OTHER IMPORTANT HIGHLIGHTS

In addition to his teaching and research credentials, Dr. Dipesh has served as Subject Expert in various mathematical domains (MTH174, MTH162, GEN333), developed software tools using MATLAB, and worked extensively on IPR-related capacity building. His 13 papers under review, with themes ranging from delay differential models in ecology to AI utility functions, signify his prolific scholarly activity and commitment to continuous advancement. His objective to integrate quality, speed, and collaborative spirit into academia aligns with the evolving needs of higher education and research ecosystems.

NOTABLE PUBLICATIONS

"Mathematical model of Cynodon Dactylon’s allelopathic effect on perennial ryegrass for exploring plant-plant interactions based upon ordinary differential equations

  • Author: Dipesh; Pankaj kumar; Anjori Sharma
  • Journal: Partial Differential Equations in Applied Mathematics
  • Year: 2025

"Modelling the role of delay in blood flow dynamics in human body using delay differential equations

  • Author: Dipesh; Pankaj Kumar
  • Journal: Physica A: Statistical Mechanics and its Applications
  • Year: 2025

"On the modeling the impact of delay on stock pricing fluctuations using delay differential equations

  • Author: Yaya Wang; Dipesh; Pankaj Kumar; Haci Mehmet Baskonus; Wei Gao
  • Journal: Physica A: Statistical Mechanics and its Applications
  • Year: 2025

"Investigating the impact of human population and population pressure on forest biomass dynamics using delay differential equations

  • Author: Dalal, D.; Kumar, P.
  • Journal: Exploring Medical Statistics: Biostatistics, Clinical Trials, and Epidemiology
  • Year: 2024

"Modeling and analysis of demand-supply dynamics with a collectability factor using delay differential equations in economic growth via the Caputo operator

  • Author: Qiliang Chen; Dipesh; Pankaj Kumar; Haci Mehmet Baskonus
  • Journal: AIMS Mathematics
  • Year: 2024