Mohamed Arbi Khlifi | High Energy Physics | Research Excellence Award

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Research Excellence Award

Mohamed Arbi Khlifi
Islamic University of Madinah, Saudi Arabia

Mohamed Arbi Khlifi
Researcher Mohamed Arbi Khlifi
Affiliation Islamic University of Madinah
Country Saudi Arabia
Scopus ID 59541492600
Documents 42
Citations 241
h-index 8
Subject Area High Energy Physics
Event Global Particle Physics Excellence Awards

The Research Excellence Award recognizes the scholarly contributions and scientific achievements of Mohamed Arbi Khlifi in the field of High Energy Physics. His academic work at the Islamic University of Madinah has contributed to the advancement of particle physics research through peer-reviewed publications, interdisciplinary collaborations, and sustained engagement in theoretical and experimental scientific studies.[1] The recognition reflects continued involvement in contemporary physics investigations relevant to high-energy particle interactions, cosmological observations, and advanced theoretical frameworks.[2]

Abstract

Mohamed Arbi Khlifi has developed a research portfolio centered on High Energy Physics, emphasizing analytical modeling, particle interaction studies, and contemporary theoretical approaches in modern physics.[1] His publication record demonstrates consistent scholarly engagement across internationally indexed scientific journals. The academic profile associated with his Scopus record indicates measurable citation activity and a growing influence within specialized areas of particle physics research.[2] Recognition through the Global Particle Physics Excellence Awards reflects contributions to scientific knowledge dissemination and academic research advancement in the global physics community.

Keywords

High Energy Physics, Particle Physics, Theoretical Physics, Scientific Research, Physics Publications, Experimental Physics, Particle Interactions, Academic Excellence, Research Impact, Physics Awards

Introduction

High Energy Physics remains one of the most significant scientific disciplines for understanding the structure of matter, fundamental forces, and cosmological evolution.[3] Researchers in this field contribute to theoretical developments, computational modeling, and experimental investigations that shape contemporary scientific understanding. Mohamed Arbi Khlifi’s academic activities align with these broader scientific objectives through contributions to peer-reviewed research and interdisciplinary collaboration.[2]

The increasing complexity of particle physics research requires sustained analytical expertise, publication consistency, and international scholarly engagement. Recognition through academic awards programs is commonly associated with measurable research outputs, citation metrics, and contributions to scientific advancement.

Research Profile

Mohamed Arbi Khlifi is affiliated with the Islamic University of Madinah in Saudi Arabia. His Scopus-authorized academic profile documents 42 indexed publications with 241 citations and an h-index of 8.[1] These indicators reflect sustained scholarly productivity and research visibility within the international academic community.

The researcher’s work is primarily associated with High Energy Physics and related scientific investigations involving particle interactions, advanced theoretical analysis, and contemporary physics methodologies.[3] The publication profile further indicates participation in collaborative scientific environments and international research dissemination.

Research Contributions

The research contributions of Mohamed Arbi Khlifi encompass several areas relevant to theoretical and experimental particle physics. His scholarly activities include analytical modeling, interpretation of particle interaction phenomena, and scientific publication within recognized academic indexing systems.[1]

  • Development of theoretical frameworks associated with high-energy particle interactions.
  • Participation in peer-reviewed scientific publishing within internationally indexed journals.
  • Contribution to interdisciplinary discussions involving modern particle physics methodologies.
  • Engagement in collaborative scientific research environments and academic dissemination.
  • Support for emerging scientific dialogue related to advanced physical theories and cosmological observations.

Publications

The publication record associated with Mohamed Arbi Khlifi reflects active scholarly communication in High Energy Physics and related scientific domains. Indexed research outputs contribute to citation visibility and academic engagement across international scientific databases.[1]

  • Peer-reviewed articles addressing theoretical particle interaction studies.
  • Scientific contributions indexed within Scopus and related international databases.
  • Research dissemination through physics-oriented journals and conference proceedings.
  • Collaborative publications supporting contemporary developments in High Energy Physics.

Several publication records are associated with DOI-based indexing systems that facilitate long-term accessibility and scholarly referencing.

Research Impact

Research impact indicators such as citation counts, h-index metrics, and indexed publication visibility are frequently used to evaluate academic contribution within the scientific community. Mohamed Arbi Khlifi’s citation profile demonstrates measurable engagement from researchers and institutions working in related scientific disciplines.

The cumulative citation activity associated with his publications suggests ongoing relevance of the research outputs within specialized areas of particle physics and theoretical scientific inquiry.[1] Such metrics also support broader recognition through international academic evaluation systems and scientific award platforms.

Award Suitability

The Global Particle Physics Excellence Awards recognize researchers who demonstrate scholarly productivity, scientific contribution, and sustained engagement in advanced particle physics research. Mohamed Arbi Khlifi’s academic profile aligns with several commonly recognized indicators of research excellence, including publication consistency, citation visibility, and participation in internationally indexed scientific communication.

His contributions to High Energy Physics, combined with measurable academic metrics and international research dissemination, support suitability for recognition within professional scientific award programs focused on physics research excellence.[1]

Conclusion

Mohamed Arbi Khlifi has established a documented academic presence in High Energy Physics through indexed publications, measurable citation activity, and sustained scholarly engagement. His affiliation with the Islamic University of Madinah and his participation in contemporary particle physics research reflect continued contributions to scientific knowledge and international academic discourse.[2] Recognition through the Research Excellence Award within the Global Particle Physics Excellence Awards framework acknowledges these scholarly achievements and their relevance to ongoing scientific advancement.

References

  1. Elsevier. (n.d.). Scopus author details: Mohamed Arbi Khlifi, Author ID 59541492600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59541492600
  2. ORCID. (n.d.). ORCID profile of Mohamed Arbi Khlifi.
    https://orcid.org/0000-0001-5438-0625
  3. CERN. (n.d.). Introduction to High Energy Physics and particle interaction studies.
    https://home.cern/science/physics

Praveen Kumar Dhankar | Particle physics and cosmology | Research Excellence Award

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Dr. Praveen Kumar Dhankar | Particle physics and cosmology | Research Excellence Award

Symbiosis Institute of Technology, India

Dr. Praveen Kumar Dhankar is an emerging researcher recognized for his valuable academic and scientific contributions in cosmology, modified gravity theories, and applied machine learning. Affiliated with Symbiosis Institute of Technology, he has demonstrated consistent research productivity through publications in reputed international journals. His scholarly profile reflects 40 documents, 78 citations, and an h-index of 5, highlighting growing academic influence within interdisciplinary scientific domains. His recent investigations in Gauss–Bonnet gravity, f(G) cosmology, and observational astrophysics showcase analytical expertise and strong computational understanding. In addition, his work connecting machine learning with precision agriculture illustrates research versatility and practical innovation. Through continuous engagement in advanced theoretical studies and collaborative scientific publications, Dr. Dhankar has established himself as a dedicated researcher contributing to modern developments in physics, cosmology, and data-driven applications with promising future research potential.

Professional Profile

Education

Dr. Praveen Kumar Dhankar has developed a strong academic foundation through dedicated study in physics, computational sciences, and interdisciplinary technological applications. His educational journey reflects a deep commitment to understanding theoretical cosmology, modified gravity theories, and modern data-driven scientific methodologies. Through advanced academic training, he acquired expertise in analytical modeling, observational data interpretation, statistical techniques, and machine learning applications in scientific research. His educational background has enabled him to work effectively across diverse scientific domains, combining theoretical understanding with computational innovation. Continuous engagement with emerging scientific developments has strengthened his academic profile and expanded his technical competencies in cosmological simulations and predictive analysis. His educational preparation demonstrates intellectual curiosity, scientific discipline, and the capacity to contribute meaningfully to modern research challenges. This strong academic grounding has become the basis for his growing influence in theoretical physics and interdisciplinary computational investigations.

Professional Experience

Dr. Praveen Kumar Dhankar possesses valuable professional and research experience through his academic association with Symbiosis Institute of Technology and collaborative scientific projects. His experience spans theoretical cosmology, modified gravity investigations, computational data analysis, and interdisciplinary technological applications. Over the years, he has actively participated in scholarly collaborations, contributing to scientific discussions involving cosmological constraints, observational datasets, and astrophysical modeling. His research activities demonstrate proficiency in statistical tools, including MCMC methods, which are widely applied in modern cosmological investigations. Furthermore, Dr. Dhankar has explored practical technological implementations through machine learning-based agricultural prediction systems, showcasing multidimensional professional capabilities. His academic profile includes 40 published documents and collaborations with numerous co-authors, reflecting strong engagement within the research community. Through consistent publication efforts, conference participation, and interdisciplinary contributions, he has developed an impressive professional portfolio that combines theoretical expertise, computational proficiency, and innovative research thinking in both physical sciences and applied technological domains.

Research Interest

Dr. Praveen Kumar Dhankar focuses his research on modern cosmology, modified gravity theories, observational astrophysics, and computational modeling. His scientific interests particularly emphasize f(G) gravity, Gauss–Bonnet gravity, dark energy models, and cosmological parameter estimation using advanced statistical techniques. He actively investigates the compatibility of theoretical cosmological models with observational datasets such as DESI BAO measurements and multi-fluid cosmological systems. His research demonstrates a strong commitment to understanding the accelerated expansion of the universe and alternative explanations beyond conventional cosmological frameworks. Additionally, Dr. Dhankar explores interdisciplinary applications involving machine learning and predictive analytics, especially within precision agriculture and intelligent recommendation systems. His work combines theoretical formulation, numerical simulation, and data-driven interpretation to address complex scientific challenges. With 40 research documents, 78 citations, and an h-index of 5, his evolving research profile reflects growing influence in cosmology and computational science while highlighting his dedication to advancing innovative, interdisciplinary, and evidence-based scientific investigations.

Award and Honor

Dr. Praveen Kumar Dhankar has earned growing academic recognition through his impactful scientific publications, collaborative research contributions, and consistent scholarly productivity. His Scopus-indexed profile demonstrates notable research visibility with 40 published documents, 78 citations received from 55 documents, and an h-index of 5, reflecting meaningful influence within the scientific community. His publications in reputed journals such as Physics of the Dark Universe and European Physical Journal C signify professional acknowledgment of his research quality and scientific relevance. Dr. Dhankar’s contributions to modified gravity theories, cosmological modeling, and machine learning applications have strengthened his academic reputation among interdisciplinary researchers. His collaborations with numerous co-authors and participation in contemporary research initiatives further highlight his professional credibility. Although his career continues to evolve, the measurable impact of his publications and research activities positions him as a promising scholar deserving recognition for scientific excellence, innovative thinking, and dedication toward advancing modern theoretical and computational research methodologies.

Conclusion

Dr. Praveen Kumar Dhankar represents a promising and dedicated researcher whose academic journey reflects strong commitment to scientific advancement, interdisciplinary innovation, and scholarly excellence. His educational background, professional experience, and focused research contributions have enabled him to build a meaningful presence within cosmology, theoretical physics, and computational applications. With 40 research documents, 78 citations, and an h-index of 5, he has demonstrated measurable research impact and growing recognition within international scientific communities. His investigations in modified gravity theories, observational cosmology, and machine learning applications illustrate both analytical depth and practical research versatility. Through continuous publication efforts, collaborative engagements, and innovative scientific exploration, Dr. Dhankar continues to strengthen his academic reputation and future research potential. His dedication to advancing knowledge, solving complex scientific challenges, and integrating computational methodologies into interdisciplinary studies establishes him as a valuable contributor to contemporary scientific research and an emerging leader in modern theoretical and applied sciences.

Publications Top Notes

Title: Interaction of divergence-free deceleration parameter in Weyl-type f (Q, T) gravity
Authors: GN Gadbail, S Arora, P Kumar, PK Sahoo
Year: 2022
Citation: 25

Title: Modified Chaplygin gas with bulk viscous cosmology in FRW (2+ 1)-dimensional spacetime
Authors: GS Khadekar, P Kumar, S Islam
Year: 2019
Citation: 12

Title: Quantum-enhanced AI robotics for sustainable agriculture: Pioneering autonomous systems in precision farming
Authors: P Khobragade, PK Dhankar, A Titarmare, M Dhone, S Thakur, P Saraf
Year: 2024
Citation: 10

Title: Advancing Oncology Outcomes: Deploying Advanced Machine Learning Models for Early Detection and Optimized Treatment
Authors: P Khobragade, PK Dhankar, M Motghare, A Golghate, N Rakesh
Year: 2024
Citation: 10

Title: (2+ 1) dimensional cosmological models in f (R, T) gravity with (R, T)
Authors: S Islam, P Kumar, GS Khadekar, TK Das
Year: 2019
Citation: 10

Wasikul Islam | Beyond Standard Model (BSM) Searches | Excellence in Research

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Dr. Wasikul Islam | Beyond Standard Model (BSM) Searches | Excellence in Research

Scientist at University of Wisconsin-Madiosn, USA, United States.

🔬 Dr. Wasikul Islam is a high-energy physicist specializing in beyond Standard Model (BSM) searches, detector development, and machine learning applications in experimental physics. He is a Scientist I at the University of Wisconsin-Madison and a Visiting Research Affiliate at SLAC National Accelerator Laboratory, Stanford University. Previously, he was a Postdoctoral Research Associate at CERN, earning the 2023 Postdoc Excellence Award and Wisconsin Initiative for Science Literacy Award 2024. With a Ph.D. in Physics from Oklahoma State University and research experience at CERN, Argonne National Lab, and Aligarh Muslim University, Dr. Islam has contributed to 600+ peer-reviewed publications. He actively participates in outreach, mentoring, and leadership roles in the ATLAS Experiment at CERN.

Professional Profile:

ORCID

Google Scholar

Suitability for Excellence in Research Award – Dr. Wasikul Islam

Dr. Wasikul Islam is an outstanding candidate for the Excellence in Research Award, given his pioneering work in high-energy physics, particularly in beyond Standard Model (BSM) searches, detector development, and machine learning applications in experimental physics. With 600+ peer-reviewed publications, leadership roles in the ATLAS Experiment at CERN, and prestigious awards, Dr. Islam has significantly advanced the field of particle physics. His contributions to anomaly detection, Higgs boson research, and AI-driven physics tools demonstrate his research excellence.

Education & Experience

🎓 Education:

  • Ph.D. in Physics – Oklahoma State University, USA (2015–2021)

  • M.Sc. & B.Sc. in Physics – Aligarh Muslim University, India (2010–2015)

💼 Experience:

  • Scientist I – University of Wisconsin-Madison (2024–Present)

  • Visiting Research Affiliate – SLAC National Accelerator Laboratory, Stanford University (2023–Present)

  • Postdoctoral Research Associate (CERN-based) – University of Wisconsin-Madison (2021–2024)

  • Resident Associate – Argonne National Laboratory (2018)

  • Graduate Research Aide – HEP-CCE, Argonne National Laboratory (2017)

  • Summer Intern – CERN (2015)

Professional Development

🧑‍🏫 Dr. Islam has played key roles in ATLAS Experiment’s BSM physics searches, serving as a Contact Person for Flavor Tagging Derivations and Editor for ATLAS/CERN publications. He has mentored researchers as an APS Career Mentoring Fellow and reviewed APS conferences. Passionate about outreach, he translated the ATLAS Coloring Book into Bangla, volunteered for CERN Open Days, andconducted physics outreach at ICHEP-2022. Additionally, he taught Python programming to visually challenged students with VisionAid.org. His involvement in United Nations Youth Assembly (2017) highlights his advocacy for higher education on global platforms.

Research Focus

🔎 Dr. Islam’s research primarily explores beyond Standard Model (BSM) physics, machine learning applications in anomaly detection, and detector upgrades for the High-Luminosity LHC. His contributions include the development of a new b-tagging calibration algorithm, W-prime boson searches, and multi-body resonance studies. He has worked extensively on vertex identification, 4D tracking, and Higgs boson decays (H → µµ). As a co-developer of the AD-Filter web tool, he integrates artificial intelligence for new physics searches. His phenomenology studies focus on collider event reconstruction, enhancing future experimental capabilities.

Awards & Honors

🏆 2024 – Wisconsin Initiative for Science Literacy Award, University of Wisconsin-Madison
🏆 2023 – Postdoc Excellence Award, University of Wisconsin-Madison
🏆 2018 – ANL-ASC Graduate Fellowship, Argonne National Laboratory
🏆 2017 – HEP-CCE Summer Fellowship, Argonne National Laboratory
🏆 2015 – CERN Summer Internship, ALICE Experiment
🏆 2010–2015 – INSPIRE-SHE Scholarship (Top 1% in India), Govt. of India
🏆 2013–2015 – University Postgraduate Merit Scholarship, Aligarh Muslim University

Publication Top Notes

🔬 Luminosity Determination in pp Collisions at sqrt(s) = 7 TeV Using the ATLAS Detector at the LHC – 📑 arXiv preprint arXiv:1101.2185 – 🔢 Cited by: 4627 – 📅 2011

🔬 Electron and Photon Performance Measurements with the ATLAS Detector Using the 2015–2017 LHC Proton-Proton Collision Data – 📑 Journal of Instrumentation 14 (12), P12006-P12006 – 🔢 Cited by: 1674 – 📅 2019

🔬 ATLAS b-jet Identification Performance and Efficiency Measurement with Events in pp Collisions at TeV – 📑 The European Physical Journal C 79, 1-36 – 🔢 Cited by: 1391 – 📅 2019

🔬 Combined Measurements of Higgs Boson Production and Decay Using Up to of Proton-Proton Collision Data at Collected with the ATLAS Experiment – 📑 Physical Review D 101 (1), 012002 – 🔢 Cited by: 1280 – 📅 2020

🔬 Performance of Electron and Photon Triggers in ATLAS during LHC Run 2 – 📑 The European Physical Journal C 80, 1-41 – 🔢 Cited by: 1266 – 📅 2020

🔬 Luminosity Determination in Collisions at TeV Using the ATLAS Detector at the LHC – 📑 arXiv preprint arXiv:2212.09379 – 🔢 Cited by: 1265 – 📅 2022

Conclusion

Dr. Islam’s groundbreaking research, leadership in high-energy physics, and innovative use of AI in experimental physics make him a prime candidate for the Excellence in Research Award. His ability to bridge fundamental physics with advanced computational techniques while actively engaging in global scientific outreach and mentorship exemplifies excellence in research.