Assist. Prof. Dr. Ahmad Mobed | Biosensors | Best Researcher Award

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Assist. Prof. Dr. Ahmad Mobed | Biosensors | Best Researcher Award 

Assist. Prof. Dr. Ahmad Mobed, Tabriz University of Medical Sciences, Iran

Dr. Ahmad Mobed is a researcher in medical bacteriology affiliated with Tabriz University of Medical Sciences, Iran. He earned his Ph.D. in Medical Bacteriology from Tabriz University of Medical Sciences (2016–2019), following a Master’s degree in Microbiology from Ilam University and a Bachelor’s degree in Biology from Tabriz University. From 2010 to 2016, he served as a Supervisor at the Medical Genetics Laboratory at Tabriz University of Medical Sciences. Dr. Mobed is skilled in a variety of laboratory techniques, including PCR, Real-Time PCR, ELISA, spectrophotometry, cell culture, and microbiological assays. His research interests focus on biomarkers, microorganisms, nanosensors, biomedicine, and nanomedicine. He is proficient in English and a native speaker of Turkish and Persian. Dr. Mobed has authored numerous publications with over 600 citations, holding an h-index of 17 and an i10-index of 20. He is also well-versed in scientific research tools such as EndNote and Mendeley.

Professional Profile:

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🏅 Summary of Suitability – Best Researcher Award

Dr. Ahmad Mobed is a highly qualified candidate for the Best Researcher Award in recognition of his impactful contributions to medical bacteriology, nanomedicine, and biomarker discovery. With a Ph.D. in Medical Bacteriology from Tabriz University of Medical Sciences, Dr. Mobed has combined deep microbiological expertise with advanced laboratory skills, including PCR, ELISA, and cell culture techniques. His research interests span nanosensors, biomedicine, and microbial diagnostics, reflecting a forward-looking approach to public health challenges. As a former Supervisor at the Medical Genetics Laboratory, he demonstrated scientific leadership and mentorship.

🎓 Education & Qualifications

  • 📘 2000 – 2004
    Bachelor’s in Biology
    Tabriz University, Iran

  • 🧫 2012 – 2014
    Master’s in Microbiology (Biology)
    Ilam University, Iran

  • 🧪 2016 – 2019
    Ph.D. in Medical Bacteriology
    Tabriz University of Medical Sciences, Iran

💼 Employment & Work Experience

  • 🧬 2010 – 2016
    Supervisor, Medical Genetics Laboratory
    Tabriz University of Medical Sciences

🏆 Achievements, Awards & Honors

  • 📈 Google Scholar Metrics

    • 🧠 h-index: 17

    • 📚 i10-index: 20

    • 🔍 Citations: 628+ (since 2018)

  • 🥼 Significant contributions in:

    • Medical Bacteriology & Microbiology

    • Biomarkers, Nanosensors & Nanomedicine

  • 🥇 Recognized researcher in Frontiers in Public Health

    • Publishing impactful studies in infectious diseases, diagnostics, and biomedicine.

💡 Skills & Expertise

  • 🧫 Lab Techniques: PCR, Real-time PCR, ELISA, Spectrophotometry, Cell Culture, Antibiograms

  • 💻 Software Tools: MS Office, Endnote, Mendeley

  • 🌐 Languages:

    • 🇹🇷 Turkish (Native)

    • 🇮🇷 Persian (Native)

    • 🇬🇧 English (Good)

🔬 Research Interests

  • 🧬 Microorganisms & Medical Bacteriology

  • 🧲 Nanosensors & Nanomedicine

  • 🧑‍⚕️ Biomarkers & Biomedicine

Publication Top Notes:

Cardiac Troponin I Biosensors: Innovations in Real‐Time Diagnosis of Cardiovascular Diseases

Cost‐Effective Nanosensor Solutions for Ultra‐Sensitive Detection of Metronidazole

Nano-Medicine for Treatment of Tuberculosis, Promising Approaches Against Antimicrobial Resistance

Sensitive and Cost‐Effective Tools in the Detection of Ovarian Cancer Biomarkers

Neuroprotective role of nobiletin against amyloid-β (Aβ) aggregation in Parkinson and Alzheimer disease as neurodegenerative diseases of brain

Biosensors; nanomaterial-based methods in diagnosing of Mycobacterium tuberculosis

Prof. Dr. Ahmad Jalal | Portable Sensors Awards | Best Researcher Award

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Prof. Dr. Ahmad Jalal | Portable Sensors Awards | Best Researcher Award 

Prof. Dr. Ahmad Jalal, Air University, Pakistan

R. Ahmad Jalal is an accomplished academic and researcher, currently serving as an Associate Professor in the Department of Computer Science and Engineering at Air University, Islamabad, Pakistan. He also leads the Intelligent Media Center (IMC) as its Director, overseeing a team of 15 MS and Ph.D. students, researchers, and developers contributing to innovative R&D activities with both national and international collaborations.

Professional Profile:

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Suitability of R. Ahmad Jalal for the Best Researcher Award

Dr. R. Ahmad Jalal’s extensive academic and professional contributions position him as a highly suitable candidate for the Best Researcher Award. With his role as an Associate Professor in the Department of Computer Science and Engineering at Air University, Islamabad, and as the Director of the Intelligent Media Center (IMC), he has demonstrated leadership in research and innovation.

Education 🎓

  • Ph.D. in Computer Engineering, Pohang University of Science and Technology (POSTECH), South Korea
  • Master’s in Computer Science, (Details not provided, assumed prior to Ph.D.)

Work Experience 💼

  1. Associate Professor (March 2019 – Present)
    • Air University, Department of Computer Science and Engineering, Islamabad, Pakistan.
  2. Director, Intelligent Media Center (IMC) (2017 – Present)
    • Leading a team of 15 MS and Ph.D. students, researchers, and developers working on R&D for international and national collaborations.

Achievements & Contributions 🌟

  • Supervision: Successfully supervised 9 Ph.D. students and 21 MS students.
  • Patents:
    • Depth-based invariant human activity recognition using R transformation features (Co-inventor), Korea Copyright Commission, Patent No. 134571-0003856, 2011.
  • Publications: Multiple impactful papers with notable awards (details below).

Awards and Honors 🏆

  1. Best Paper Award (Runner-up) – ICAEM 2018
    • Facial Expression Recognition in Image Sequences Using 1D Transform and Gabor Wavelet Transform
    • Presented at IEEE Conference of Applied and Engineering Mathematics, pp. 82-87.
  2. Best Paper Award – ICOST 2011
    • Daily Human Activity Recognition Using Depth Silhouettes and R Transformation for Smart Home
    • Presented at the 9th ICOST, Lecture Notes in Computer Science (Springer), LNCS 6719, pp. 25-32.

Notable Roles ✨

  • Leader: Spearheading advanced research in AI, human activity recognition, and media technologies.
  • Innovator: Developed patented solutions in depth-based human activity recognition.

Publication Top Notes:

Robust human activity recognition from depth video using spatiotemporal multi-fused features

CITED:399

A Depth Video Sensor-based Life Logging Human Activity Recognition System for Elderly Care in Smart Indoor Environments

CITED:301

Depth video-based human activity recognition system using translation and scaling invariant features for life logging at smart home

CITED:249

Human activity recognition via recognized body parts of human depth silhouettes for residents monitoring services at smart home

CITED:208

Students’ Behavior Mining in E-learning Environment Using Cognitive Processes with Information Technologies

CITED:186

Vision-based human activity recognition system using depth silhouettes: A smart home system for monitoring the residents

CITED:117

Dr. Yue Wang | Sensor development Award | Best Researcher Award

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Dr. Yue Wang | Sensor development Award | Best Researcher Award 

Dr. Yue Wang, University of Science and Technology Liaoning, China

Dr. Yue Wang is an Associate Professor at the School of Chemical Engineering at the University of Science and Technology Liaoning in China. He earned his Bachelor’s degree from the University of Science and Technology Anshan and both his Master’s and Doctorate degrees from the University of Science and Technology Liaoning and Saitama Institute of Technology, Japan, respectively. Since joining the University of Science and Technology Liaoning in 2006, Dr. Wang has focused his research on sensors and biosensors, biofuel cells, supercapacitors, energy harvesting, and artificial muscles. His work has resulted in over 60 published scientific papers, garnering approximately 600 citations, reflecting his significant contributions to the field. Dr. Wang has secured multiple research grants from various institutions, including the Education Department of Liaoning Province and the Natural Science Foundation of Liaoning Province, to advance his projects on conductive sensors, pesticide sensors, electrochemical biosensors, and wearable smart sensing technologies. Additionally, he completed a visiting scholarship at the University of Texas at Dallas in 2019-2020, further enhancing his academic and research expertise.

Professional Profile:

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Summary of Suitability for Best Researcher Award: Yue Wang

Yue Wang is an exemplary candidate for the Best Researcher Award, primarily due to his substantial academic qualifications, extensive research contributions, and impactful work in the field of Material Science, specifically within sensor and biosensor technologies.

Education

  • Bachelor’s Degree in Material Science
    University of Science and Technology Anshan, China
    September 1998 – July 2002
  • Master’s Degree in Material Science
    University of Science and Technology Liaoning, China
    September 2003 – March 2006
  • Ph.D. in Material Science
    Saitama Institute of Technology, Japan
    April 2008 – March 2011

Work Experience

  • Associate Professor
    University of Science and Technology Liaoning, China
    April 2006 – Present
  • Visiting Scholar
    University of Texas at Dallas
    April 2019 – March 2020

Publication top Notes:

A carbon black–doped chalcopyrite–based electrochemical sensor for determination of hydrogen peroxide

Glucose oxidase, horseradish peroxidase and phenothiazine dyes-co-adsorbed carbon felt-based amperometric flow-biosensor for glucose

Crab gill–derived nanorod-like carbons as bifunctional electrochemical sensors for detection of hydrogen peroxide and glucose

Cellulose-derived hierarchical porous carbon based electrochemical sensor for simultaneous detection of catechol and hydroquinone

A triphenylamine based fluorescent probe for Zn2+ detection and its applicability in live cell imaging

1,8-naphthalimide-triphenylamine-based red-emitting fluorescence probes for the detection of hydrazine in real water samples and applications in bioimaging in vivo

Assoc Prof Dr. Jin Wang | Field Sensing Award | Best Researcher Award

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Assoc Prof Dr. Jin Wang | Field Sensing Award | Best Researcher Award

Assoc Prof Dr. Jin Wang, China University of Geosciences, China

Dr. Jin Wang is an Associate Professor in the Department of Communication Engineering at China University of Geosciences (CUG) in Wuhan, China, where he has been a faculty member since May 2009. He earned his Doctoral Degree in Physical Electronics from Huazhong University of Science and Technology (HUST), and his research focuses on optical electric field sensors, fluorescence and Raman spectroscopy, and free-space optical communications systems. Dr. Wang’s expertise spans several areas including waveguide analysis, optical design, and multispectral fluorescence methods for environmental monitoring. His notable contributions include research on bismuth germanate (BGO) crystal sensors, oil pollution detection using multispectral techniques, and advancements in free-space optical communication technologies. Dr. Wang has held previous positions as a Postdoctoral Researcher at HUST and has worked in both industry and academic roles in the field of optical and electronic engineering.

Professional Profile:

Summary of Suitability for Best Researcher Award: 

Dr. Jin Wang is an accomplished Associate Professor at China University of Geosciences with a strong research portfolio spanning optical electric field sensors, free-space optical communication, and multispectral fluorescence detection methods. His research covers innovative topics such as waveguide fabrication using femtosecond lasers, oil pollution detection using multispectral fluorescence, and the development of robust communication systems for extreme environmental conditions.

Education:

  • Doctoral Degree in Physical Electronics (09/2000 – 09/2006)
    Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology (HUST), Wuhan, China
    Dissertation: “Studies on Adaptive Reception Technology in Optical Wireless Communication”
  • Master’s Degree in Electrical Engineering (09/1997 – 03/2000)
    Ordnance Engineering College, Shijiazhuang, China
    Thesis: “Design of Ultra Wideband Dipole Antenna in the Measurement of Electromagnetic Fields”
  • Bachelor’s Degree in Electrical Engineering (09/1993 – 07/1997)
    Ordnance Engineering College, Shijiazhuang, China

Work Experience:

  • Associate Professor and Associate Director (05/2009 – Present)
    Department of Communication Engineering, China University of Geosciences (CUG), Wuhan, China
    Responsible for teaching, research on optical electric field sensors, and overseeing research projects related to optical communication systems and multispectral fluorescence detection.
  • Postdoctoral Researcher in Communication Engineering (09/2006 – 04/2009)
    Huazhong University of Science and Technology (HUST), Wuhan, China
    Conducted research on free-space optical (FSO) communication systems and developed new techniques for adaptive reception over optical turbulence channels.
  • Photoelectric Design Engineer (11/2005 – 07/2008)
    Wuhan Mengxin Technology CO., LTD, Wuhan, China
    Worked on designing LCOS-based projectors, focusing on optical engine development, cooling systems, and enhancing LED brightness and contrast through optical designs.
  • Digital Circuit Design Engineer (11/1999 – 09/2000)
    Beijing University of Aeronautics and Astronautics, Beijing, China
    Designed digital circuits for fiber optic gyroscopes and worked on output signal simulation systems for fiber optics.

Publication top Notes:

 

Integrated Optical Waveguide Electric Field Sensors Based on Bismuth Germanate