Mr. Md. Saikat Hossen | Data analysis | Best Researcher Award

Mr. Md. Saikat Hossen | Data analysis | Best Researcher Award

Mr. Md. Saikat Hossen, University of Barishal, Bangladesh

Md. Saikat Hossen is a 3rd-year BSc student in Soil and Environmental Sciences at the University of Barishal, Bangladesh. Skilled in SPSS, R, GIS, and Canva, he combines technical and creative expertise in data analysis, graphic design, and research. Saikat has authored research papers, attended multiple workshops, and won 1st place in a poster design competition. Currently, he is a Research Intern at the Plasma Cell Research Center, focusing on immune responses to environmental pollutants. Dedicated to impactful research and problem-solving, he actively contributes to student organizations and research initiatives. πŸŒπŸ’‘

Professional Profile:

Orcid

βœ…Β Suitability for Best Researcher Award

Md. Saikat Hossen demonstrates strong potential as a candidate for theΒ Best Researcher AwardΒ despite being an early-career researcher. His multidisciplinary expertise in environmental sciences, data analysis, and computational research positions him as a promising and impactful contributor to the field.

πŸŽ“ Education & Experience

  • BSc in Soil and Environmental Sciences – University of Barishal (2023–Present) 🎯
  • Research Intern – Plasma Cell Research Center (July 2024 – January 2025) πŸ§ͺ
    • Researching immune responses to environmental pollutants using computational and experimental methods.
  • IT and Research Enthusiast – University of Barishal (2023–2024) πŸ’»
    • IT Secretary at BURHES, contributed to Quizzical 2.0 and Disaster Hackathon 2.0.
  • HSC – KafilUddin Degree College (2021) πŸ“š
    • GPA 4.50 in Science Group
  • SSC – Hazirpara Hamidia High School (2019) πŸ“–
    • GPA 4.06 in Science Group

πŸš€ Professional Development

Md. Saikat Hossen is actively developing his expertise in data analysis, research, and graphic design. He is proficient in SPSS, R, STATA, ArcGIS, and Adobe Illustrator. His research at the Plasma Cell Research Center focuses on modeling interactions between chemicals and proteins to predict health consequences of air pollution. Saikat has gained valuable experience as an IT Secretary at BURHES and through participation in Quizzical 2.0 and Disaster Hackathon 2.0. His multidisciplinary skills enable him to approach environmental challenges with innovative solutions. πŸŒπŸ“Š

πŸ§ͺ Research Focus

Saikat’s research primarily focuses on environmental health and data analysis. At the Plasma Cell Research Center, he explores the impact of environmental pollutants on immune responses using computational and experimental approaches. His research involves modeling chemical-protein interactions to predict the health outcomes of air pollution. Saikat is particularly interested in soil health, pollution control, and sustainable agriculture. His work reflects a strong commitment to improving environmental health through data-driven insights and innovative methodologies. πŸŒΏπŸŒŽπŸ’»

πŸ† Awards & Honors

  • πŸ₯‡ 1st Place – Poster Design Competition (2023)
  • 🌟 Voluntary Certificates – Recognized for contributions to BURHES (2023–2024)
  • πŸ“œ GIS and Research Certificates – Awarded for excellence in geospatial analysis and research (2024)

Publication Top Notes:

Modeling the Interactions Between Chemicals and Proteins to Predict the Health Consequences of Air Pollution

Prof. Dagong Jia | Signal Processing Award | Best Researcher Award

Prof. Dagong Jia | Signal Processing Award | Best Researcher Award

Prof. Dagong Jia, Tianjin University, China

Dagong Jia is a distinguished Professor at Tianjin University, China, specializing in Precision Instrument and Opto-electronics Engineering. With a Ph.D. in Optics Engineering from Tianjin University and extensive experience as a visiting scholar at prestigious institutions like the University of Central Florida and the University of Strathclyde, Jia’s expertise spans various domains of optical engineering. Throughout his career, he has received numerous accolades, including multiple awards from Tianjin Technology Invention and the China Instrument and Control Society. Jia’s research focuses on the development of advanced optical technologies, such as fiber bundling and optical signal transmission, contributing significantly to both national and international research initiatives in the field.

Professional Profile:

Scopus

πŸŽ“ Education:

Dagong Jia’s academic journey is marked by a relentless pursuit of knowledge and excellence in engineering. He earned his Ph.D. in Optics Engineering from Tianjin University, China, in 2004, following a Master of Science degree in Material Processing Engineering from the same institution in 2001. Prior to this, Jia laid the foundation of his expertise with a Bachelor of Science degree in Material Processing Engineering from Inner Mongolia University of Technology, China, in 1998. Through these academic achievements, Jia has established himself as a leading authority in the field, contributing significantly to the advancement of optics and engineering sciences.

πŸ† Honors:

Dagong Jia’s groundbreaking contributions to technology and innovation have been recognized with prestigious awards and accolades. His remarkable achievements include receiving the Tianjin Technology Invention First Class Award in 2014, followed by the Tianjin Technology Invention Second Class Award in 2016. Additionally, Jia was honored with the Tianjin Technology Invention Third Class Award in 2012, further highlighting his significant impact in the field. His excellence in technology invention was further acknowledged by the China Instrument and Control Society, awarding him the Second Class Award in 2023. These accolades underscore Jia’s commitment to pushing the boundaries of innovation and advancing technology for the benefit of society.

πŸ”¬ Research Focus:

Dagong Jia’s research portfolio encompasses a diverse range of cutting-edge projects aimed at advancing optical engineering and technology. His contributions include the development of high integration fiber bundling, splitting, and filtering modules, alongside pioneering work on low-frequency EEG detection methods. Jia has also led research efforts in the development of the paraxial rotation coupling method for optical tactile and visual perception signals, as well as the implementation of multichannel optical signals transmission technology. His expertise extends to dynamic optical interconnection, optical sensing networks for structural health monitoring, and the design of dynamic dispersion compensation systems. Furthermore, Jia has explored gas, temperature, and strain sensing networks, and has developed algorithms and software modules for fiber mechanical and thermal multi-parameter analysis.

Publication Top Notes:

  1. Multi-band tunable electromagnetically induced transparencies based on active metasurface with polarization-independent property
    • Authors: Ren, K., Wang, S., Ren, X., Zhang, H., Jia, D.
    • Journal: Journal of Physics D: Applied Physics, 2024, 57(25), 255102
  2. Polarization characteristic parameters measurement of Y-waveguide multifunction integrated optic circuit based on noise reduction processing
    • Authors: Zhang, H., Hou, J., Li, T., Jia, D., Liu, T.
    • Journal: Optics Communications, 2024, 561, 130540
  3. Uncertainty elimination in 2D shape reconstruction of irregular particles in Interferometric particle imaging
    • Authors: Fu, Y., Zhang, H., Hou, J., Jia, D., Liu, T.
    • Journal: Measurement: Journal of the International Measurement Confederation, 2024, 231, 114571
  4. Highly sensitive fiber-optic chemical pH sensor based on surface modification of optical fiber with ZnCdSe/ZnS quantum dots
    • Authors: Zhang, Z., Zhang, H., Hou, L., Luan, Q., Liu, T.
    • Journal: Analytica Chimica Acta, 2024, 1294, 342281.
  5. High-sensitivity electrocardiogram sensor based on Fano resonance in a double-stub-assisted plasmonic micro-ring resonator
    • Authors: Chen, H., Liao, L., Zhao, X., Ren, K., Jia, D.
    • Journal: Optics and Laser Technology, 2024, 169, 109874