BARKHA SINGH | Quantum Science | Best Researcher Award

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Mrs. BARKHA SINGH | Quantum Science | Best Researcher Award

Research Scholar at Delhi Technological University, India

Barkha Singh is a research scholar at Delhi Technological University specializing in quantum computing, big data analysis, and cybersecurity. With a strong academic background, including an M.Tech. in Signal Processing and an ongoing Ph.D., she has contributed to IEEE conferences, Springer & Elsevier journals, and book chapters under Taylor & Francis. She has received prestigious fellowships, including the DTU Ph.D. Full-Time Fellowship (2021-2024), and was awarded 2nd Prize at the Research Scholar Day (2023) by Bharat Petroleum Corporation & BITS Mesra. Her research focuses on AI-driven cybersecurity, gesture recognition, and human-computer interaction, demonstrating her expertise in cutting-edge technological advancements.

Publication ProfileΒ 

Scopus

Educational Background πŸŽ“

Ph.D. (Expected in 12/2024)

Field: Quantum Computing, Big Data Analysis, Cyber Security
Institution: Delhi Technological University, Delhi, India

  • Recipient of 2nd Prize in Research Scholar Day by Bharat Petroleum Corporation Ltd. & BITS Mesra (2023)
  • Awarded DTU Ph.D. Full-Time Fellowship (2021-2024)
  • Thesis Focus: Framework model for quantum computing in image processing, cybersecurity, and big data
  • Published in Springer, Elsevier (SCI journals)
  • Conference presentations at ICRASE 2022, AISP 2023

M.Tech. (Completed in 08/2021)

Field: Signal Processing and Digital Designing
Institution: Delhi Technological University, New Delhi

  • Final Grade: A+ (7.8 CGPA)
  • AICTE GATE PG Scholarship (2019-2021)
  • Thesis: Gesture Recognition through Discriminative Coding for HCI
  • Published in IEEE conferences (ICCICS 2021, IEEE 2021 Seminar)

B.Tech. (Completed in 07/2010)

Field: Electronics and Communication Engineering
Institution: Maharishi Dayanand University, Rohtak, India

  • Final Grade: 74.28% (Distinction)
  • Projects:
    • Automatic Electromagnetic Clutch Gear Vehicle (Final Year Project)
    • Explosive Detection Robot (low-cost system using IR imaging)

School Education

Senior Secondary: S.M. Arya Public School, Delhi (2010)

  • 2nd place in National Mathematics Olympiad (AISMTA)

High School: DSM Public School, Delhi (2008)

  • Ranked 2nd in Class

Professional Experience πŸ’Ό

Research Scholar (08/2021 – Present)

Delhi Technological University, New Delhi, India

  • Developed grant proposals for research funding
  • Coordinated multi-team research efforts
  • Drafted peer-reviewed journal publications
  • Participated in faculty advisory meetings

Project Associate (07/2015 – 12/2018)

Globe Publication Pvt. Ltd., Delhi, India

  • Managed project deliverables (status reports, training materials)
  • Oversaw the entire project lifecycle

Project Assistant Intern (06/2014 – 06/2015)

Dars Biotech (Formerly M/S Dars Pharmaceuticals), Noida, India

  • Improved project management methods
  • Developed tracking systems for budgeting

Research Interests πŸ”¬

  • Quantum Computing & Cybersecurity
  • Big Data & Artificial Intelligence
  • Gesture Recognition & Human-Computer Interaction (HCI)
  • Signal Processing & Image Analysis

Awards and HonorsπŸ†βœ¨

  • 2nd Prize in Research Scholar Day (2023) – Bharat Petroleum Corporation & BITS Mesra
  • DTU Ph.D. Full-Time Fellowship (2021-2024)
  • AICTE GATE PG Scholarship (2019-2021)
  • National Mathematics Olympiad (2nd Rank)

Conclusion🌟

Barkha Singh is a highly accomplished research scholar with strong expertise in quantum computing, cybersecurity, and AI-driven big data analysis. She has an excellent academic record, multiple research publications, and a track record of securing competitive scholarships and fellowships. Her contributions in research extend to IEEE conferences, Springer & Elsevier journals, and book chapters under Taylor & Francis. She continues to advance knowledge in signal processing, human-computer interaction, and cybersecurity applications.

Publications πŸ“š

πŸ“„ Singh, B., & Co-authors (2023). Development of a Framework Model Based on Quantum Computing for Image Processing, Cybersecurity, and Big Data. Springer (SCI Journal). βœ… Accepted & In Production

πŸ“„ Singh, B., & Co-authors (2023). Gesture Recognition through Discriminative Coding for HCI. IEEE Conference on Intelligent Systems (ICCICS 2021). 🎀 Presented at IEEE Conference

πŸ“„ Singh, B., & Co-authors (2022). Quantum Computing-Based Image Representation with IBM QISKIT Libraries. IEEE ICRASE 2022 Conference. πŸ”¬ Published in IEEE Xplore Digital Library

πŸ“„ Singh, B., & Co-authors (2022). Improved Quantum Image Representation. ACST 2022 Conference, Rajiv Gandhi University, India. πŸ† Recognized for Innovative Research

πŸ“„ Singh, B., & Co-authors (2023). Discriminative Skeleton-Based Action Recognition in Spatiotemporal Fusion. IEEE Publication. πŸ“– Book Chapter

πŸ“„ Singh, B., & Co-authors (2023). Intelligent Data Analytics, IoT, and Blockchain. Taylor & Francis (Auerbach Publications). πŸ“˜ ISBN: 9781032424785

πŸ“„ Singh, B., & Co-authors (2023). Artificial Intelligence and Signal Processing (AISP 2023). 3rd International Conference, IEEE Xplore. πŸ… Indexed & Digitally Available

πŸ“„ Singh, B., & Co-authors (2021). Discriminative Coding for Skeletal Gesture Recognition Using Time-Wrapping Riemannian Trajectories. IEEE 2021 Seminar. 🎭 HCI Research & Signal Processing

Zuoye Liu | Physics | Best Researcher Award

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Dr. Zuoye Liu | Physics | Best Researcher Award

Professor at Lanzhou University, China

Zuoye Liu is a distinguished professor at Lanzhou University specializing in ultrafast physics and nuclear detection. He leads research on the dynamics of microscopic particles, employing pulsed lasers for advances in nuclear physics and chemistry. Liu’s groundbreaking work on XUV pulse shaping and fast detection technologies has earned him recognition in scientific communities. He has published over 40 articles and has played a pivotal role in research funded by prominent Chinese scientific programs. His contributions continue to drive innovation in laser technologies and nuclear science. 🌟

Publication Profile :Β 

Scopus

Educational Background πŸŽ“

Zuoye Liu holds a position as a Professor at Lanzhou University, where his academic journey has led to impactful contributions in the fields of ultrafast physics and nuclear detection technologies.

Professional Experience πŸ’Ό

Professor Liu has been a leading researcher in the area of micro-particle dynamics control and the application of pulsed laser technologies. His work spans the development of novel instruments, physical mechanism disclosures, and the design of cutting-edge application schemes. Over the years, he has contributed to numerous high-profile projects funded by national programs, including the National Natural Science Foundation of China and the National Key Research and Development Program. With more than 40 published articles in prestigious journals, his research continues to shape advancements in nuclear physics, nuclear chemistry, and ultrafast optics.

Research Interests πŸ”¬

Professor Liu’s research primarily focuses on the reconstruction of microscopic particle dynamics and the application of ultrafast lasers in nuclear physics, detection, and chemistry. He has proposed innovative “light-light” modulation schemes to perfect XUV pulse shaping for enhanced light absorption in materials. Additionally, he is a pioneer in developing fast online detection methods for multiple nuclides and exploring the complex interplay of laser pulses in microscopic systems.

Publications πŸ“š

  • Y He, Z Liu, C Ott, A N Pfeiffer, S Sun, M B Gaarde, T Pfeifer, Bitao Hu, Resonant Perfect Absorption Yielded by Zero-Area Pulses, Phys. Rev. Lett, 2022, 129, 273201.
  • Z Liu, S M Cavaletto, C Ott, K Meyer, Y Mi, Z Harman, C H Keitel, T Pfeifer, Phase reconstruction of coherently excited systems by transient-absorption spectroscopy, Phys. Rev. Lett, 2015, 115, 033003.
  • Zhang Y, Gao Y, Lei H, et al., Free-space competition between gain-swept superradiance and spontaneous emission from N2+ in a femtosecond filament, Physical Review A, 2024, 109(1), 013105.
  • Shi Y, Xiang Y, Su R, et al., A method to obtain radioactivity of non-Ξ³ nuclides by 60Co based on Monte Carlo simulations, Nuclear Engineering and Technology, 2024, 56(10), 4134-4140.
  • Zhang Y, Yang R, Zhu Z, et al., Complete suppression of N2 lasing by the nonadiabatic molecular alignment effect in femtosecond filaments, Physical Review A, 2024, 110(2), 023106.
  • Shi H, Gao J, He Y, et al., Coherent modulation of intense XUV pulses by ground-state coupling, Physics Letters A, 2024, 516, 129650.
  • Zhao T, Ding P, Wang Y, et al., Deep learning assisted pressure measurements using femtosecond laser-induced grating scattering technique, Journal of Physics D: Applied Physics, 2024, 57(15), 155201.
  • Wang L, Ding P, Yan S, et al., Soot volume fraction measurements in aero-engine model combustor outlet using two-color laser-induced incandescence, Chinese Journal of Aeronautics, 2024.
  • Wang J, Yue J, Zhang Y, et al., Hot Electron- and Spin-Flip-Assisted Upconversion Excitation in the La0.7Sr0.3MnO3/BiFeO3 Heterojunction, The Journal of Physical Chemistry C, 2024, 128(34), 14337-14346.
  • Li Y, Song S, Han Y, et al., Coulomb-induced emission time shifts in high-order harmonic generation from H2, Opt Express, 2024, 32(11), 18984-18996.
  • Yang J, Liu Z, Yang C, et al., Determination of La in rare earth ores using laser-induced breakdown spectroscopy combined with bidirectional long short-term memory, Applied Physics B, 2024, 130(5), 81.
  • Wu S, Yang C, Yue J, et al., Analysis of Cs solution by nano-silica particles-enhanced laser-induced breakdown spectroscopy, Applied Physics B, 2024, 130(10), 170.