Dalya Akl | Gravitational Waves | Best Researcher Award

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Ms. Dalya Akl | Gravitational Waves | Best Researcher Award

Ms. Dalya Akl , American University of Sharjah , United Arab Emirates

Dalya Akl is an astrophysicist based in Dubai, U.A.E., specializing in telescope operations, kilonovae, short gamma-ray bursts (GRBs), and gravitational waves (GWs) research. She is actively involved in multiple international collaborations, including the GRANDMA network and the SVOM mission. Dalya’s work focuses on optimizing data acquisition and image processing pipelines for real-time observations, enhancing the understanding of astrophysical phenomena through electromagnetic counterparts to GW and GRB events. She also leads research on developing computational models and utilizing machine learning for GRB classification and kilonova light curve analysis. Dalya’s contributions span across multiple prestigious journals and conferences, solidifying her as a key player in the field of multi-messenger astronomy.

Professional Profile

Google scholar

Scopus

Academic Career 🎓

Dalya Akl earned her Bachelor of Science in Physics (B.Sc.) from the American University of Sharjah, U.A.E. Her thesis focused on “Enhanced Analysis and Classification of Gamma-Ray Bursts through Advanced Astro-photometry Techniques and Machine Learning Algorithms,” showcasing her expertise in applying computational techniques to astrophysical data. During her academic journey, Dalya also worked on significant research projects related to gravitational waves, kilonovae, and supernovae, which further shaped her research direction. She actively contributes to the academic community through publications, conference posters, and collaborative research with global institutions.

 

Academic Background & Contributions 🔬⚡

Dalya Akl currently works as a Gravitational Waves Researcher with the GRANDMA Collaboration, focusing on system operations, data analysis, and pipeline optimization for precise data acquisition of GW and GRB events. She also leads the SPECTRA team, coordinating astrophysical campaigns and integrating diverse observational systems. Dalya is involved with the COLIBRI Telescope project, contributing to simulations and performance testing to optimize real-time data acquisition strategies for the SVOM mission. Her previous experience includes working as a Research Intern at Côte d’Azur Observatory in France and as a Data Analyst for various GW and GRB campaigns. She has also contributed to supernova research at Al Khatim Observatory and developed machine learning models for GRB classification at the American University of Sharjah.

Honors & Awards 🏆🎓

Dalya Akl has been recognized for her outstanding contributions to astrophysics through her active role in global collaborations, such as the GRANDMA and SVOM missions. She was honored with numerous speaking engagements at prestigious conferences like COSPAR 2024, where she presented cutting-edge research on GRB afterglows and supernovae observations. Dalya has co-authored multiple publications in renowned journals like MNRAS and ApJ, where her work on kilonovae and GW events was widely acknowledged. Her involvement in NASA’s General Coordinate Network (GCN) Circulars further highlights her significant impact on the field. Her leadership in multi-messenger astronomy research has earned her a reputation as a rising star in the astrophysical community.

Research Focus 🔬⚡

Dalya Akl’s primary research focus lies in the study of gravitational waves, short gamma-ray bursts, and kilonovae. She specializes in optimizing data pipelines for real-time multi-messenger observations and has contributed significantly to the analysis of electromagnetic counterparts to GW and GRB events. Dalya’s research extends to the modeling of kilonovae light curves and the use of machine learning techniques to classify and analyze GRBs. She also leads observational campaigns, such as the GRANDMA collaboration’s studies of supernovae, and actively contributes to advancing the understanding of high-energy astrophysical phenomena through computational modeling and multi-wavelength observations.

Publication Top Notes 📚

Multiband analyses of the bright GRB 230812B and the associated SN2023pel
Authors: T Hussenot-Desenonges, T Wouters, N Guessoum, I Abdi, A Abulwfa, …
Journal: Monthly Notices of the Royal Astronomical Society
Citations: 3
Year: 2024

Early-Time Observations of SN 2023wrk: A Luminous Type Ia Supernova with Significant Unburned Carbon in the Outer Ejecta
Authors: J Liu, X Wang, C Andrade, PA Duverne, J Zhang, L Li, Z Wang, …
Journal: The Astrophysical Journal
Citations: 2
Year: 2024

GRB 240529A: AKO Optical Afterglow Follow-Up Observations
Authors: M Odeh, N Guessoum, D Akl, I Aabdi, S AlShamsi
Journal: GRB Coordinates Network
Citations: 1
Year: 2024

GRANDMA Observations of SN 2023wrk, a Luminous Type Ia Supernova with Significant Unburned Carbon in the Outer Ejecta
Authors: C Andrade, PA Duverne, J Liu, F Navarete, AE Abdelaziz, M Abdelkareem, …
Journal: Research Notes of the AAS
Citations: 1
Year: 2024

GRB 240828B: GRANDMA Optical Upper Limit
Authors: D Akl, S Antier, M Coughlin, PA Duverne, P Hello, C Andrade, ITE Melo, …
Journal: GRB Coordinates Network
Citations: 1
Year: 2024

GRB240824A: Tarot-Tca Upper Limit
Authors: D Akl, S Antier, M Coughlin, PA Duverne, P Hello, C Andrade, ITE Melo, …
Journal: GRB Coordinates Network
Citations: 1
Year: 2024

GRB 240821A: GRANDMA/LesMakes-T60 Upper Limit
Authors: A Klotz, P Thierry, S Antier, D Akl, PA Duverne, C Andrade, S Karpov, …
Journal: GRB Coordinates Network
Citations: 1
Year: 2024

EP240625a: GRANDMA Optical Upper Limits
Authors: D Akl, A Le Calloch, Y Rajabov, M Molham, S Antier, S Karpov, …
Journal: GRB Coordinates Network
Citations: 1
Year: 2024

GRB 240529A: AKO Optical Afterglow Detection
Authors: M Odeh, N Guessoum, D Akl, I Aabdi, S AlShamsi
Journal: GRB Coordinates Network
Citations: 1
Year: 2024

IceCube-240424A: GRANDMA Optical Upper Limit of Fermi J2151.3+0220
Authors: D Akl, T Pradier, T Jegou Du Laz, M Molham, S Antier, ITE Melo, P Hello, …
Journal: GRB Coordinates Network
Citations: 1
Year: 2024

 

 

 

 

 

 

Al-Emam Omar | Experimental Physics | Best Researcher Award

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Assoc Prof Dr. Al-Emam Omar | Experimental Physics | Best Researcher Award

Assoc Prof Dr. Al-Emam Omar, Mansoura university, Egypt

Based on the provided details, Associate Professor Dr. Al-Emam Z. Omar would be a strong candidate for the Best Researcher Award. Here’s a summary of why he is suitable

Publication profile

Academic and Professional Background

  • Dr. Al-Emam Z. Omar is an Associate Professor in the Physics Department at Mansoura University, Egypt. His academic journey spans from being a demonstrator to becoming an associate professor, indicating a steady and impactful career progression in experimental physics.

Research Expertise

  • Specialization: Dr. Omar specializes in optical interferometric techniques, digital holography, and opto-mechanical investigations. His work extends to advanced topics like machine learning applications in image processing, which demonstrates a cross-disciplinary approach.
  • Notable Contributions: His research includes 24 publications with significant citations (242 in Scopus and 264 in Google Scholar) and an h-index of 11, reflecting the impact and relevance of his research in the field of physics.

Awards and Recognition

  • Dr. Omar received the Best Doctoral Thesis Award from Mansoura University in 2020, recognizing the quality and impact of his research work.
  • He is listed among the world’s top 2% of scientists according to Stanford University in 2023, highlighting his global recognition and influence in the scientific community.
  • He has been acknowledged as a reviewer for multiple reputable journals, which showcases his expertise and credibility in the scientific community.

Research Projects

  • Dr. Omar has contributed significantly to upgrading research facilities, such as the optics laboratory at Mansoura University, for advanced characterization of fibers and materials, funded by the Science and Technology Development Fund (STDF).

Publication Top Notes

  • 📘 A novel hybrid model based on integrating RGB and YCrCb color spaces for demodulating the phase map of fibers using a color phase-shifting profilometry technique (2024) – 1 citation
  • 🔬 The influence of degradation in different pH buffer solutions on the optical and durability properties of Monocryl suture: (an in vitro study) (2024) – 1 citation
  • 🧵 A refined method for investigating the morphological and optical properties of a biodegradable monocryl suture (2023) – 1 citation
  • 📚 Optical microscope: interferometric and non-interferometric optical microscopy techniques (Book Chapter, 2023) – 0 citations
  • 🧪 Phase estimation for investigating the optical and mechanical properties of Monocryl suture for soft tissue approximation and ligation (2022) – 4 citations
  • 🧫 Interferometric accurate investigation of opto-thermo-mechanical features with help of artificial intelligence for antimicrobial polyamide-6 fibers grafted by quaternary ammonium salt with nano zinc oxide (2022) – 3 citations
  • 🤖 Adaptive investigation of the optical properties of polymer fibers from mixing noisy phase-shifting microinterferograms using deep learning algorithms (2022) – 8 citations
  • 🌡️ Investigation of the opto-thermo-mechanical properties of antimicrobial PET/TiO2 fiber using the transport of intensity equation technique (2022) – 2 citations
  • 🌀 Adaptive demodulation for phase information and opto-mechanical properties of fibers from blurred digital holography pattern (2022) – 5 citations
  • 📏 A suggested optical setup for duplicated-image transport intensity equation technique to accurate determine the optical anisotropy in fibers (2021) – 2 citations

Conclusion

Dr. Al-Emam Z. Omar’s extensive research in experimental physics, combined with his recognition by international and national awards, positions him as a suitable candidate for the Best Researcher Award. His ongoing projects and consistent contributions to scientific literature underline his dedication to advancing knowledge and technology in his field.