Dr. Wasikul Islam
Article Index
Welcome to the Wasikul Islam's homepage.I am currently a Post-doctoral Researcher at University of Wisconsin-Madison, USA, based at CERN, Geneva, Switzerland as one of the Physicist members of the ATLAS Collaboration at the Large Hadron Collider (LHC).
A brief biographical sketch :
I obtained my Ph.D. in Physics from Department of Physics, Oklahoma State University, USA with ATLAS Experiment at CERN under the guidance of Prof. Alexander Khanov. During Ph.D., apart from CERN, I also performed my research at US-Department of Energy's Argonne National Laboratory (ANL) and Fermi National Accelerator Laboratory, thanks to Summer Research Fellowship by HEPCCE and ANL-ATLAS Graduate Fellowship 2017.
Before joining Ph.D, I did my Bachelor and Masters in Physics from Department of Physics, Aligarh Muslim University, India, and also worked for ALICE experiment as a summer intern at CERN.
ALICE-CERN's newsletters ALICE MATTERS , CERN Summer students interview (2015), website of HEPCCE and the news portal of Oklahoma State University carried some of my experiences.
Office at OSU: 252 Physical Sciences Bldg, Department of Physics, Oklahoma State University, Stillwater, OK, USA 74078.
Office at Wisconsin : 1150 University Ave, Chamberlin Hall, Thomas C, Madison, Wisconsin, USA 53706-1302.
Office at CERN: 32/R-A21, CERN, 1211 Meyrin, Switzerland.
Contacts : I can be reached at wasikul@okstate.edu ; wasikul.islam@cern.ch ; wislam3@wisc.edu .
Useful links :
My Research :
As an experimental particle Physicist, I do my research to understand the world of Physics at the most fundamental level in terms of the particles, which are the building blocks of our universe. I conduct various searches for New Physics using the data collected by the ATLAS detector at CERN and I also do measurements of Physics processes, hardware studies, and algorithm developments for our ATLAS experiment. I do some phenomenological studies as well on my personal interests.
Searches/Physics Analysis at ATLAS detector of LHC :
1. I performed searches for Singly Charged Higgs Boson through ‘dijet + lepton’ channel at the Large hadron Collider with the ATLAS detector. In that dijet + lepton analysis, apart from Charged Higgs, we looked for Z prime, Dark matter etc. & we explored many different beyond the standard models (BSMs).
2. I searched for a new exotic particle W′ (W prime boson) which is proposed by many of the extended gauge models. I searched for this particle in the decay mode of W′ → tb in all hadronic channel with the full run 2 data of ATLAS detector.
3. We did searches for new physics in multi-body invariant masses in events with an isolated lepton using √s = 13 TeV proton–proton collision data collected by the ATLAS detector.
4. Currently I am searching for the Higgs boson decaying to a pair of muons in pp collisions with the ATLAS detector: Working on the implementation of machine learning techniques and background modeling studies for the analysis.
5. We are searching for new physics in the form of anomalous events through Anomaly detection studies using novel machine learning techniques using data from the ATLAS detector at LHC.
6. I am also working on some applications of Quantum Machine Learning to High Energy Physics Analysis at LHC: Using the qubit platform to solve computational challenges of LHC in deploying quantum machine learning for High Energy Physics.
Combined performance studies at LHC :
- The efficient identification of jets from bottom quarks (b-jets) is one of the~most important techniques for many physics analyses at the Large Hadron Collider, including studies of the Higgs boson, the top quark, and searches beyond the Standard Model. The performance is characterized by b-tagging efficiency (probability to identify a b-jet as such) and the mistag rate (probability to mistakenly accept a non-b-jet). So, mistag rate calibration has been a very important task for LHC as well. I contributed to the development of a completely “new method” for light jet calibrations with the ATLAS detector of LHC.
High-Performance Computation/Machine Learning studies for LHC Physics :
- Working on Application of Quantum Machine Learning to High Energy Physics Analysis at LHC.
- As a Research Aide at the ‘High Energy Physics Center for Computational Excellence’ (HEP-CCE) of Argonne National Laboratory and I am worked on the feasibility of using Deep Neural Network(DNN) in HEP problems, specifically for ‘object classification’, ‘event recognition’ with the ATLAS detector data. I have completed the project of Object recognition at Argonne National lab in Summer 2017 and currently working on more complicated problems. I performed these studies with the help of Super Computer Cori of NERSC facility of LBNL, Supercomputers Mira, Theta, Coolie, Jupyter of Argonne National lab. More details of the study can be found here.
Detector upgrade studies for High Luminosity(HL)- LHC :
- As ‘ANL-ATLAS Graduate Fellow 2017’ and Resident Associate of Argonne National Laboratory for one year, I worked for a “High Luminocity-LHC” upgrade project on ‘ITK Pixel R&D’ using the testbeam facility at Fermi National Accelerator Laboratory . A report on these studies can be available here.
Others ( ALICE detector & Masters project) :
- And as an Intern at CERN in the ALICE experiment, I worked in Accelerator Physics in 2015. Apart from studying on accelerator physics and I also developed some tools for outreach activities of ‘Accelerator Physics’ to people of different age groups. I also created a CERN twiki page regarding that.
- As a Masters student in India, I worked on : ‘Future Neutrino Oscillation Experiments’ for my master’s thesis. Where we did some calculations of 3 flavor neutrino oscillation in matter and in free space and we studied the future prospects of 23 Neutrino oscillation experiments which were about to start or just started at that time.
My some of Ph.D. Research at Oklahoma State University with the ATLAS collaboration was explained in the following short video made in 2016 for university’s official video channel Ostate.Tv.
Publications:
I have been an author of 300+ peer-reviewed research papers. My Google Scholar profile can be found at the following link. My ORCID : 0000-0002-5624-5934. All the research papers can also be found at : http://inspirehep.net/author/profile/W.Islam.1. Selected research papers with my significant contributions are listed below :
A few selected research papers & ATLAS Notes I co-authored are :
Selected Research papers :
1. ATLAS Collaboration. “Search for dijet resonances in events with an isolated charged lepton using √s=13 TeV proton-proton collision data collected by the ATLAS detector”, 2020, (arXiv:2002.11325) [JHEP 06 (2020) 151]
2. S.V. Chekanov, S. Darmora, W. Islam, C.E.M. Wagner, J. Zhang– “Model-independent searches for new physics in multi-body invariant masses”, 2021 (arXiv:2103.10217) [Universe 2021, 7(9), 333]
3. ATLAS Collaboration- “Search for vector boson resonances decaying to a top quark and a bottomquark in hadronic final states using pp collisions at √s=13TeV with the ATLAS detector”, 2021 (ATLAS-CONF-2021-043)
4. ATLAS Collaboration- “Search for new phenomena in multi-body invariant masses in events with at least one isolated lepton and two jets using √s=13 TeV proton-proton collision data collected by the ATLAS detector”, 2022 (ATLAS-CONF-2022-048). [Presented in ICHEP-2022]
5. Tulika Bose et al.- “Report of the Topical Group on Physics Beyond the Standard Model at
Energy Frontier for Snowmass 2021”, 2022 (arXiv:2209.13128).
6. F. Maltoni et al.- “Theory of Collider Phenomena”, TF07 Snowmass Report, 2022 (arXiv:2210.02591)
7. ATLAS Collaboration- “Search for new phenomena in multi-body invariant masses in events with at s = 13 TeV proton-proton collision data collected by the ATLAS detector, 2022 (arXiv:2211.08945, Submitted to JHEP).
8. M. Rominsky et.al. -“Fermilab Test Beam Facility Annual Report: FY19”. Fermilab technical publication: FERMILAB-TM-2734-DI, (10.2172/1668714).
9. M. Rominsky et.al. – “Fermilab Test Beam Facility Annual Report: FY18”. Fermilab technical publication: FERMILAB-TM-2702-DI.
10. W. Islam- “Increasing Multilingualism in ATLAS’ Science Communication”, 2022.Published in Proceedings of science: (ICHEP2022)973.
ATLAS-CERN Internal Notes [Only accessible by ATLAS collaborators]:
11. W. Islam, A. Khanov et al. “Light Jet Calibration using Direct Tag method in pp collision at √s=13 TeV with the ATLAS detector”. ATL-COM-PHYS-2018-246 (https://cds.cern.ch/record/2309425)
12. D. Frizzell, J, Metcalfe, J. Lambert, W. Islam, M. Zhang- “Systematic Study of Techniques for Assembling a Flex Cable to a Sensor Hybrid for ATLAS ITK Pixel Upgrade”. ATL-COM-ITK-2018-014 (https://cds.cern.ch/record/2304065)
13. S.V. Chekanov, V. Pascuzzi et.al.- ” Search for dijet resonances in events with an isolated lepton using √s=13 TeV proton–proton collision data collected by the ATLAS detector”. ATL-COM-PHYS-2018-1524 (https://cds.cern.ch/record/2646242)
14. V.S. Bhopatkar, M. Benoit, W. Islam. et al.- “Installation and Commissioning of the Argonne Pixel Telescope and Different DAQ systems at Fermilab Test Beam Facility”. ATL-COM-UPGRADE-2020-003. ( https://cds.cern.ch/record/2706638 )
15. S.V. Chekanov, H. Meng et.al. – “Search for new physics in multi-body invariant masses in events with an isolated lepton in √s= 13 TeV p p collisions using full Run 2 dataset”. ATL-COM-PHYS-2020-632 (https://cds.cern.ch/record/2729738)
16. H D Torre et.al. – “Search for t b resonance with the ATLAS Detector in √s = 13 TeV p p collisions using full Run 2 dataset”. ATL-COM-PHYS-2020-155 (https://cds.cern.ch/record/2712010)
17. S. Darmora, S.V. Chekanov, W. Islam, A. Khanov, V. Pascuzzi- “Signal optimization studies for dijet resonances in events with identified leptons using machine learning”. ATL-COM-PHYS-2021-391 (https://cds.cern.ch/record/2773239)
18. K. Lin, R. Yuan, H. D. L. T. Perez, W. Islam, J. C. Garcia, R. Schwienhorst, W. C. Fisher – “Search for vector boson resonances decaying to a top-quark and a bottom-quark in the hadronic final state using √s=13 TeV with the ATLAS detector”. ATL-COM-PHYS-2021-424 (https://cds.cern.ch/record/2774605/)
19. W. Islam et al. – Search for new physics in multi-body invariant masses in events with an isolated lepton using √s=13 TeV proton-proton collision data collected by the ATLAS detector. ATL-COM-PHYS-2022-186 (https://cds.cern.ch/record/2804567).
20. S.V. Chekanov et al. – Search for new physics using event-based anomaly detection technique in proton–proton collisions data collected by the ATLAS detector : Anomaly detection in dijet+X : ATL-COM-PHYS-2022-325 (https://cds.cern.ch/record/2808363).
Others (Snowmass proposal-Phenomenology):
1. S. Jana, W. Islam, A. Khanov – “Probing New Physics with Boosted Di-Higgs Signal using Fat Jet Signature”. SNOWMASS21-EF2_EF8-259 (LOI link for Snowmass 2021).
Popular articles :
1. ’My beautiful days at CERN’, published in the newsletter of CERN, ‘ALICE Matters’ in 2015.
2. ’Mystery of TIME’, in the Physics Bulletin 2014 published by Department of Physics, AMU, India.
3. ’Excitements over restarting the LHC for its Run 3’, in the Physics E-Magazine 2022 published by
SPS, Department of Physics, University of Kansas, USA.
Selected Talks:
1. ‘Performance of b jet identification in pp collisions at √s=13 TeV with the ATLAS detector‘ at APS April Meeting 2017, Washington DC.
2. ‘Light Jet Calibration by Direct Tag Method in r20.7 and r21 data’ at ATLAS Flavor Tagging Plenary Meeting, CERN.
3. ‘Identifying objects in ATLAS through machine learning techniques’at ‘Young Scientists Symposium’, Argonne National Laboratory, July, 2017.
4. ‘Mistag rate calibration using Direct Tag method with the ATLAS detector‘ at US-ATLAS workshop, Argonne National Laboratory, July, 2017.
5. ‘Identifying objects in ATLAS through machine learning techniques‘as ‘Young Physicist’s Lightening talk’ at US-LHC Users Association Meeting 2017 at Fermilab, November, 2017.
6. ‘Recent developments in ML techniques for High Energy Physics’ for ‘Experimental Methods in High Energy Physics’ course at Oklahoma State University, December, 2017.
7. ‘Mistag rate calibration using Direct Tag method in pp collisions at √s=13 TeV with the ATLAS detector‘ at APS April Meeting 2018, Columbus, Ohio.
8. ‘Performance of b jet identification with the ATLAS detector at CERN‘ at ‘New Perspectives 2018’ during 51st Annual Users Meeting of Fermilab, June, 2018.
9. ‘Some aspects of current ATLAS ITK Pixel studies at Argonne National Lab‘ at Argonne National laboratory, December 2018.
10. ‘Search for dijet resonances in events with an isolated lepton using √s= 13TeV pp collision data with the ATLAS detector’ during ATLAS Week, June 2019 at CERN (Poster).
11. ‘Search for charged Higgs Boson in di-jet resonances along with a charged lepton at √s= 13 TeV p-p collision with the ATLAS detector’ at APS April Meeting 2020, Washington DC.
12. ‘Search for dijet resonances in events with an isolated charged lepton using √s= 13 TeV at proton–proton collision data collected by the ATLAS detector’ at Physics Department, University of Kansas, Lawrence, KS, USA in Nov. 2020.
13. ‘Model-independent searches for new physics in multi-body invariant masses’ at APS April Meeting 2021 (Virtual) in April 2021.
14. ‘Search for di-jet resonances along with an isolated charged lepton at √s = 13 TeV p-p collision with the ATLAS detector‘ at DPF-2021 conference at Florida State University, FL, USA by American Physical Society’s Department of Particles & Fields in July, 2021.
15. [Poster] ‘Search for di-jet resonances along with an isolated charged lepton at √s=13 TeV pp collision with the ATLAS detector‘ at Lepton-Photon Conference 2021, University of Manchester, UK in January, 2022.
16. ‘Search for new physics in multi-body invariant masses in events with an isolated lepton using √s = 13 TeV pp collision data collected by the ATLAS detector‘ at Early Career Scientists session, ATLAS Collaboration Week, CERN, Switzerland, June, 2022.
17. ‘Increasing Multilingualism in ATLAS’ Science Communication‘ at 41st ICHEP-2022 conference, Bologna Italy, July 2022.
18. ‘Search for new physics in multi-body invariant masses in dijet events with an isolated lepton in pp collisions at √s = 13 TeV with the ATLAS detector’ at XI International Conference on New Frontiers in Physics, Crete, Greece in September 2022.
Few notable Talks by collaborators (with my contribution) :
1. ‘Searches for BSM physics through anomaly detection using machine learning methods‘ in Physics workshop 2021 – “ATLAS Physics from Run 2 to Run 3 and beyond” at CERN.
2. ‘Model-independent Searches for New Physics in Multi-body Invariant Masses‘ in 10th International Conference on New Frontiers in Physics (ICNFP 2021).
3. ‘Object ID in LHC detectors using Machine Learning‘ in ‘Machine learning for Jet images workhop’ at Lawrence Berkeley National Laboratory, Deecmber 2017.
4. ‘Module Assembly Evaluation at Argonne National Lab‘ at ITK Week 2018, CERN.
5. ‘Strong Lensing analysis using Deep Neural Networks‘ at Fermilab/ANL, July 2017.
My Curriculum Vitae can be found at this link.