Scientist at University of Wisconsin-Madiosn, USA, United States.
π¬ 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 β 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
π Education:
-
Ph.D. in Physics β Oklahoma State University, USA (2015β2021)
-
M.Sc. & B.Sc. in Physics β Aligarh Muslim University, India (2010β2015)
πΌ Experience:
-
Scientist I β University of Wisconsin-Madison (2024βPresent)
-
Visiting Research Affiliate β SLAC National Accelerator Laboratory, Stanford University (2023βPresent)
-
Postdoctoral Research Associate (CERN-based) β University of Wisconsin-Madison (2021β2024)
-
Resident Associate β Argonne National Laboratory (2018)
-
Graduate Research Aide β HEP-CCE, Argonne National Laboratory (2017)
-
Summer Intern β CERN (2015)
Professional Development
π§βπ« 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
π 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 β ¡¡). 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
π 2024 β Wisconsin Initiative for Science Literacy Award, University of Wisconsin-Madison
π 2023 β Postdoc Excellence Award, University of Wisconsin-Madison
π 2018 β ANL-ASC Graduate Fellowship, Argonne National Laboratory
π 2017 β HEP-CCE Summer Fellowship, Argonne National Laboratory
π 2015 β CERN Summer Internship, ALICE Experiment
π 2010β2015 β INSPIRE-SHE Scholarship (Top 1% in India), Govt. of India
π 2013β2015 β University Postgraduate Merit Scholarship, Aligarh Muslim University
Publication Top Notes
π¬ Luminosity Determination in pp Collisions at sqrt(s) = 7 TeV Using the ATLAS Detector at the LHC β π arXiv preprint arXiv:1101.2185 β π’ Cited by: 4627 β π
2011
π¬ Electron and Photon Performance Measurements with the ATLAS Detector Using the 2015β2017 LHC Proton-Proton Collision Data β π Journal of Instrumentation 14 (12), P12006-P12006 β π’ Cited by: 1674 β π
2019
π¬ ATLAS b-jet Identification Performance and Efficiency Measurement with Events in pp Collisions at TeV β π The European Physical Journal C 79, 1-36 β π’ Cited by: 1391 β π
2019
π¬ Combined Measurements of Higgs Boson Production and Decay Using Up to of Proton-Proton Collision Data at Collected with the ATLAS Experiment β π Physical Review D 101 (1), 012002 β π’ Cited by: 1280 β π
2020
π¬ Performance of Electron and Photon Triggers in ATLAS during LHC Run 2 β π The European Physical Journal C 80, 1-41 β π’ Cited by: 1266 β π
2020
π¬ Luminosity Determination in Collisions at TeV Using the ATLAS Detector at the LHC β π arXiv preprint arXiv:2212.09379 β π’ Cited by: 1265 β π
2022
Conclusion
Dr. Islamβs 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.