Muhammad Bilal | Underwater Communication | Best Researcher Award

Muhammad Bilal | Underwater Communication | Best Researcher Award

Dr. Muhammad Bilal, Harbin Engineering University, China

Dr. Muhammad Bilal is an accomplished researcher in the field of Information and Communication Engineering, specializing in underwater acoustic communication. With a robust educational background and extensive research experience, he has made significant contributions to the field through innovative projects and publications. His dedication to mentoring students and fostering collaborative research enhances his reputation as a leader in academia.

Professional Profile:

Suitability for the Best Researcher Award:

Dr. Bilal’s qualifications and achievements position him as an exceptional candidate for the Best Researcher Award. His extensive publication record, with 12 SCI and 6 EI indexed articles, highlights his impactful research contributions. His work on novel communication techniques, particularly those mimicking natural sounds, showcases his innovative approach and relevance to contemporary challenges. Furthermore, his active engagement in mentoring doctoral students and organizing international conferences underscores his commitment to advancing the field and supporting future researchers.

Education 

Dr. Bilal holds a Ph.D. in Information and Communication Engineering from Harbin Engineering University, where he graduated with a commendable 91%. He is currently a post-doctoral researcher at the same institution, furthering his expertise. His academic journey also includes a Master’s in Telecommunication Engineering from Hamdard University, Pakistan, and a Bachelor’s degree from FAST National University. This solid educational foundation has equipped him with the theoretical knowledge and practical skills necessary for his research.

Work Experience

Dr. Bilal has accumulated substantial professional experience, currently serving as a post-doctoral researcher at Harbin Engineering University. His prior role as a Senior Manager (Technical) at the National Engineering and Scientific Commission in Pakistan involved leading technical projects and managing teams focused on marine research. Additionally, he has taught various courses in wireless communication and signal processing, demonstrating his ability to convey complex concepts to students at multiple academic levels.

Skills

Dr. Bilal possesses a diverse skill set that includes advanced knowledge in wireless and underwater communication, signal processing, and machine learning. His proficiency in deep neural networks and acoustic communication techniques reflects his technical expertise. Furthermore, he has strong organizational and leadership skills, evidenced by his roles in mentoring students and coordinating academic events. His collaborative spirit is enhanced by his experience working with international research teams.

Awards and Honors

Throughout his career, Dr. Bilal has received several accolades that recognize his contributions to academia and research. Notably, he was named the Best International Student of the Year at Harbin Engineering University for the academic year 2017-2018. He has also been actively involved in various committees for international conferences and workshops, reflecting his respected standing in the academic community. His recognition as a key member of significant technical program committees further demonstrates his influence and commitment to the field.

Publication top Notes:

Biologically inspired covert underwater acoustic communication—A review
Authors: G. Qiao, M. Bilal, S. Liu, Z. Babar, T. Ma
Year: 2018
Cited by: 33 📚🌊

Dolphin sounds-inspired covert underwater acoustic communication and micro-modem
Authors: G. Qiao, Y. Zhao, S. Liu, M. Bilal
Year: 2017
Cited by: 29 🐬🔊

Bionic Morse coding mimicking humpback whale song for covert underwater communication
Authors: M. Bilal, S. Liu, G. Qiao, L. Wan, Y. Tao
Year: 2019
Cited by: 28 🐋📡

A frequency hopping pattern inspired bionic underwater acoustic communication
Authors: G. Qiao, T. Ma, S. Liu, M. Bilal
Year: 2021
Cited by: 25 🌊🔄

Covert underwater communication by camouflaging sea piling sounds
Authors: S. Liu, M. Wang, T. Ma, G. Qiao, M. Bilal
Year: 2018
Cited by: 22 🌊🔍

A nonlinear distortion removal based on deep neural network for underwater acoustic OFDM communication with the mitigation of peak to average power ratio
Authors: X. Ma, W. Raza, Z. Wu, M. Bilal, Z. Zhou, A. Ali
Year: 2020
Cited by: 17 🧠⚡️

Symmetry oriented covert acoustic communication by mimicking humpback whale song
Authors: G. Qiao, M. Bilal, S. Liu, T. Ma, Y. Zhao, B. Kong
Year: 2019
Cited by: 17 🐋🔒

M-ary nonlinear sine chirp spread spectrum for underwater acoustic communication based on virtual time-reversal mirror method
Authors: S. Liu, H.H. Zuberi, Y. Lou, M.B. Farooq, S. Shaikh, W. Raza
Year: 2021
Cited by: 15 🌊🔊

Shallow water acoustic channel modeling and MIMO-OFDM simulations
Authors: G. Qiao, Z. Babar, L. Ma, L. Wan, X. Qing, X. Li, M. Bilal
Year: 2018
Cited by: 13 🌊📊

Symmetric connectivity of underwater acoustic sensor networks based on multi-modal directional transducer
Authors: G. Qiao, Q. Liu, S. Liu, B. Muhammad, M. Wen
Year: 2021
Cited by: 9 🌐🎛️

Dr. Jean Triboulet | Subsea Vision | Best Researcher Award

Dr. Jean Triboulet | Subsea Vision | Best Researcher Award 

Dr. Jean Triboulet, LIRMM, France

Jean Triboulet is a distinguished researcher and academic specializing in robotics and computer vision, with a particular focus on medical and underwater robotics. He holds a Doctorate in Engineering Sciences from the University of Évry Val d’Essonne, where he developed a multisensor system for environment modeling applied to teleoperation under the supervision of Prof. F. Chavand. Since 2003, Jean has been integrated into the Research Department of Robotics at LIRMM UMR 5506. His extensive academic journey includes a DEA in Robotics from Paris VI, a Master’s in EEA with an option in Automation from Paris XI, and a Bachelor’s in Electronics, Electrotechnics, and Automation from Paris XI.

Professional Profile:

Summary of Suitability for Best Researcher Award

Jean Triboulet is a seasoned researcher with extensive contributions to the fields of computer vision, medical robotics, and underwater robotics. His robust educational background, significant scientific contributions, leadership in research projects, and active participation in academic communities position him as a strong candidate for the Best Researcher Award.

Education

  • 2019: Habilitation to Supervise Research: “Elements of Vision for Robotics”
    • Institut National Polytechnique de Toulouse
    • Jury: S. Lelandais (pres.), S. Lacroix (ref. + rap.), P. Drap (rap.), P. Grussenmeyer (rap.), P. Montesinos (exa.), B. Jouvencel (exa.)
  • 1996: Doctorate in Engineering Sciences: “Characterization of a Multisensor System for Environment Modeling. Application to Teleoperation”
    • University of Évry Val d’Essonne
    • Supervisor: Prof. F. Chavand
    • Monitor then 1/2 ATER
  • 1991: DEA in Robotics, option Intervention and Service Robotics
    • Paris VI
  • 1990: Master’s in EEA, Option Automation
    • Paris XI
    • Certificate in Optics (ESO: Orsay)
  • 1989: Bachelor’s in Electronics, Electrotechnics, and Automation
    • Paris XI
  • 1988: DEUG A
    • Paris XI

Positions

  • 2003: Integrated into the Research Department of Robotics at LIRMM UMR 5506
  • 2002: MCF 1021 Position at CUFR of Nîmes: 61st Section + welcomed at CEM2 UMR 5507
  • 1996: MCF 0375 Position at IUFM of Versailles: 61st Section + welcomed at LSC Evry
  • 1992: National Service: Section Chief in Instruction Company at the rank of Aspirant

Publication top Notes:

A Novel 3D Reconstruction Sensor Using a Diving Lamp and a Camera for Underwater Cave Exploration

Sensor-Based Behavior Analysis and Modeling for the Honeybee Superorganism: A Platform

Acute effects of graduated and progressive compression stockings on leg vein cross-sectional area and viscoelasticity in patients with chronic venous disease

An original 3D reconstruction method using a conical light and a camera in underwater caves

Noninvasive measurement of venous wall deformation induced by changes in transmural pressure shows altered viscoelasticity in patients with chronic venous disease

Contour-based approach for 3D mapping of underwater galleries