Mrs. Yan Qian | Temperature Monitoring Awards | Best Researcher Award

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Mrs. Yan Qian | Temperature Monitoring Awards | Best Researcher Award 

Mrs. Yan Qian, Nanjing University of Posts & Telecommunications, China

Prof. Yan Qian is an Associate Professor at the Key Laboratory for Organic Electronics & Information Displays and the Institute of Advanced Materials at Nanjing University of Posts & Telecommunications, China. With a Ph.D. in Organic Photophysics & Photochemistry from the Institute of Chemistry, Chinese Academy of Sciences, she has been actively engaged in research on functional optical materials. Her work focuses on the “hot exciton” mechanism for high-efficiency OLED emitters, organic thermal sensing, tunable excited states for organic lasers, and photochromic materials for optoelectronic applications. She has made significant contributions to the development of high-performance organic light-emitting and sensing materials, including aggregation-induced emission fluorophores and stable white OLEDs. Through her research and academic contributions, Prof. Yan Qian continues to advance the field of organic photophysics and photochemistry.

Professional Profile:

ORCID

🎓 Education

  • 📍 Ph.D. & M.S. in Organic Photophysics & Photochemistry (2002–2007)
    Institute of Chemistry, Chinese Academy of Sciences (Key Laboratory of Photochemistry)
  • 📍 B.S. in Chemistry (1998–2002)
    Anhui University

🏢 Professional Experience

  • Associate Professor (Aug 2011 – Present)
    📌 Key Laboratory for Organic Electronics & Information Displays
    📌 Institute of Advanced Materials, Nanjing University of Posts & Telecommunications, China
  • Lecturer (July 2007 – July 2011)
    📌 Key Laboratory for Organic Electronics & Information Displays
    📌 Institute of Advanced Materials, Nanjing University of Posts & Telecommunications, China

🏆 Achievements, Awards & Honors

  • 🌟 Pioneering Research in functional optical materials, including OLEDs, organic thermal sensing, organic lasers, and photochromic optoelectronic devices
  • 🔥 “Hot Exciton” Mechanism for high-efficiency OLED emitter design
  • 🏅 Recognized Contributions to energy transfer blocking for advanced organic thermal sensing and WOLEDs
  • 🎨 Innovative Work in aggregation-induced emission (AIE) fluorophores for solid-state strong emitters
  • 🏆 Awards in Research & Teaching Excellence from Nanjing University of Posts & Telecommunications

Publication Top Notes:

Singlet reservoir for multi-channel barrierless harvesting of keto triplet excitons for high-efficiency electroluminescence of an ESIPT fluorophore

Precise Regulation of Excited‐State Intramolecular Proton‐Transfer Materials for High‐Efficiency Monochromatic and White‐emitting OLEDs

Heat Resistant Organic Dyes for High Temperature Luminescent Temperature Sensing

Reproducible and High‐Performance WOLEDs Based on Independent High‐Efficiency Triplet Harvesting of Yellow Hot‐Exciton ESIPT and Blue TADF Emitters

Three‐Output Naked‐Eye High Temperature Organic Film Threshold Thermometers Based on Non‐Invasive Chemical Reaction

 

Prof. Xun Yang | Quantum Sensor Awards | Best Researcher Award

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Prof. Xun Yang | Quantum Sensor Awards | Best Researcher Award 

Prof. Xun Yang, Zhengzhou university, China

Yang Xun, Ph.D., is an Associate Professor at the School of Physics, Zhengzhou University, specializing in wide bandgap semiconductor optoelectronic devices. Recognized as a young top talent, he has led several national and provincial research projects, including studies on ultraviolet plasma nanolasers, Ga₂O₃ detectors for weak solar-blind signal imaging, and diamond semiconductor optical applications. He earned his Ph.D. in Condensed Matter Physics from the University of Chinese Academy of Sciences and has been actively engaged in both research and mentorship, guiding master’s students in cutting-edge optoelectronics. His contributions to the field have been acknowledged with prestigious awards such as the Henan Province Natural Science Academic Award and multiple accolades for scientific and technological excellence. In addition to his research, Dr. Yang serves as a special issue editor for journals like Materials and Remote Sensing, further cementing his role as a key figure in semiconductor physics and advanced optical technology.

Professional Profile:

ORCID

SCOPUS

Summary of Dr. Yang Xun’s Suitability for the Best Researcher Award

Dr. Yang Xun is an accomplished researcher and educator specializing in wide bandgap semiconductor optoelectronic devices. As an Associate Professor at Zhengzhou University, he has demonstrated exceptional leadership in research, innovation, and mentorship, making significant contributions to the advancement of semiconductor physics and optoelectronic technologies. With a Ph.D. in Condensed Matter Physics from the University of Chinese Academy of Sciences, Dr. Yang has led multiple high-impact national and provincial research projects focused on UV plasma nanolasers, diamond semiconductor optics, and Ga₂O₃ detectors for solar-blind imaging. His research has secured substantial funding, including grants from the National Natural Science Foundation of China (NSFC), the China Postdoctoral Science Foundation, and Henan Province’s Major Science & Technology Projects.

📚 Education:

  • 🎓 Ph.D. in Condensed Matter Physics – University of Chinese Academy of Sciences (2012 – 2017)
    • Supervisor: Professor Shàn Chóngxīn
  • 🎓 B.Sc. in Condensed Matter Physics – University of Science and Technology of China (2008 – 2012)

💼 Work Experience:

  • 👨‍🏫 Associate Professor, School of Physics, Zhengzhou University (Sept. 2021 – Present)
  • 👨‍🏫 Lecturer, School of Physics, Zhengzhou University (Aug. 2017 – Aug. 2021)

🔬 Research & Projects:

  • 💰 National Key R&D Program – “Development of Key Sensors for Medical Imaging Equipment” (Funding: 800,000 CNY, 2021-2024)
  • 💎 Henan Province Major Science & Technology Project – “High Thermal Conductivity & High Transmittance Diamond Materials” (Funding: 1,440,000 CNY, 2021-2024)
  • 🔬 NSFC Youth Project – “Electrically Pumped Ultraviolet Plasma Nanolaser” (Funding: 250,000 CNY, 2019-2021)
  • 🏅 China Postdoctoral Science Foundation Special Grant – “Enhancement of 2D Material Light Absorption Efficiency” (Funding: 180,000 CNY, 2020-2021)

🏆 Awards & Honors:

  • 🏅 Henan Province Natural Science Academic Award – Excellent Paper (First Prize)
  • 🏆 Henan Provincial Education Department – Excellent Science & Technology Paper Award (First Prize)
  • 🥉 China International “Internet+” Innovation & Entrepreneurship Competition – Bronze Award (Mentor)
  • 🥉 China Graduate Electronic Design Competition (National Finals) – Third Prize (Mentor)
  • 🥇 China Graduate Electronic Design Competition (Huazhong Division) – First Prize (Mentor)

Publication Top Notes:

Solar-Blind Ultraviolet Photodetectors Based on Porous β-Ga2O3 Nanorods for Deep-Ultraviolet Communications

Laser Writing of GaN/Ga2O3 Heterojunction Photodetector Arrays

Ultrawide Bandgap Diamond/ε-Ga2O3 Heterojunction pn Diodes with Breakdown Voltages over 3 kV

Gate-tunable positive and negative photoresponses based on a mixed-dimensional Ga2O3/WSe2 junction field-effect transistor for logic operation

Highly sensitive diamond X-ray detector array for high-temperature applications

High-Pressure Synthesis and Characterization of Cr-Doped Large Single-Crystal Diamonds

Prof. Chi-Cheng Cheng | Visual Servo Awards | Best Researcher Award

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Prof. Chi-Cheng Cheng | Visual Servo Awards | Best Researcher Award 

Prof. Chi-Cheng Cheng, National Sun Yat-sen University, Taiwan

Chi-Cheng Cheng is a Professor in the Department of Mechanical and Electro-Mechanical Engineering at National Sun Yat-Sen University, Taiwan. He holds a Doctor of Science degree in Mechanical Engineering from the Massachusetts Institute of Technology, USA, and both a Master’s and Bachelor’s degree in Power Mechanical Engineering from National Tsing Hua University, Taiwan. Since joining National Sun Yat-Sen University, he has held several key academic and administrative positions, including Vice Dean of the College of Engineering, Chairman of the Department of Mechanical and Electro-Mechanical Engineering, and Director of the Engineering Technology Research & Promotion Center. He has also served as a Visiting Professor at Simon Fraser University and a Visiting Scholar at the University of British Columbia, Canada. His research interests span system dynamics and control, machine vision, intelligent robots, mechatronics, and man-machine interfaces. Throughout his career, he has received numerous awards, including the Excellent Teaching Award and the Excellent Research Award, recognizing his contributions to academia and industry-academia collaboration.

Professional Profile:

SCOPUS

Suitability of Dr. Chi-Cheng Cheng for the Best Researcher Award

Dr. Chi-Cheng Cheng is a highly distinguished researcher and professor in the Department of Mechanical and Electro-Mechanical Engineering at National Sun Yat-Sen University, Taiwan. With a Doctor of Science in Mechanical Engineering from MIT (1991), he has over three decades of academic and research experience, holding numerous leadership roles, including Vice Dean of the College of Engineering, Chairman of the Department, and Director of the Engineering Technology Research & Promotion Center.

🎓 Education

  • 🏛 Doctor of Science in Mechanical Engineering – Massachusetts Institute of Technology, USA (April 1991)
  • 🏛 Master of Science in Power Mechanical Engineering – National Tsing Hua University, Taiwan (June 1983)
  • 🏛 Bachelor of Science in Power Mechanical Engineering – National Tsing Hua University, Taiwan (June 1981)

💼 Work Experience

  • 👨‍🏫 Professor, Dept. of Mechanical and Electro-Mechanical Engineering (Feb. 2003–Present) – National Sun Yat-Sen University
  • 👨‍🏫 Professor, College of General Education (Sep. 2003–Jul. 2024) – National Sun Yat-Sen University
  • 🏛 Vice Dean, College of Engineering (Aug. 2017–Jul. 2020) – National Sun Yat-Sen University
  • 🔬 Director, Engineering Technology Research & Promotion Center (Aug. 2017–Jul. 2020) – National Sun Yat-Sen University
  • 🎓 Chairman, Dept. of Mechanical and Electro-Mechanical Engineering (Aug. 2014–Jul. 2017) – National Sun Yat-Sen University
  • 🌍 Visiting Professor, School of Engineering Science (Feb. 2009–Jul. 2009) – Simon Fraser University, Canada
  • 🌏 Dean, Office of International Affairs (Feb. 2007–Jan. 2009) – National Sun Yat-Sen University
  • ⚙️ Adjunct Professor, Institute of Undersea Technology (Aug. 2003–Jul. 2014) – National Sun Yat-Sen University
  • 📡 Visiting Scholar, Dept. of Electrical and Computer Engineering (Aug. 2002–Dec. 2002) – University of British Columbia, Canada
  • 🔬 Director, Div. of Projects Management, Office of Research Affairs (Sep. 1998–Jul. 2002) – National Sun Yat-Sen University
  • 👨‍🏫 Associate Professor, Dept. of Mechanical and Electro-Mechanical Engineering (Aug. 1991–Jan. 2003) – National Sun Yat-Sen University

🏆 Honors & Awards

  • 🏅 Excellent Teaching Award – National Sun Yat-Sen University (2017, 2018, 2019, 2020)
  • 🎖 Industry-Academy-Research Good Blue-chip Teachers – National Sun Yat-Sen University (2015, 2016)
  • 🏆 Excellent Research Award – National Science Council, Republic of China (1998, 2001, 2002)
  • 🎓 Fellowship of Ministry of Education – Republic of China (1984)
  • 📜 Thesis Award – The Chinese Mechanical Engineers Society (1983)

Publication Top Notes:

A Visually Assistive Guidance System for Visually Impaired Pedestrians Passing Crosswalks

Detection of Hydrogen Bubbles Produced by Corrosion Inhibition of Metal Weldment Using Machine Learning

A Classifier of AMOLED-TFT Defect Images Based on a DNN Ensemble Framework

An Automatic Kiss Camera System Using Deep Neural Network Technique

A Human-Like Intelligent Swing System Using the Machine Vision Approach

Human-like Hitting Strategies for a Ball Bouncing Robot

Night pedestrian detection based on fuzzy reasoning

Dr. Xiaoxian Song | Photodetector Device Awards | Best Researcher Award

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Dr. Xiaoxian Song | Photodetector Device Awards | Best Researcher Award

Dr. Xiaoxian Song, Jiangsu University, China

Xiaoxian Song was born in Bozhou, Anhui Province, China. He received his B.S. degree in Optoelectronic Science and Technology from Changchun University of Science and Technology, China, in 2010, and his Ph.D. degree in Physical Electronics from Tianjin University, China, in 2017. In 2017, he joined the School of Mechanical Engineering at Jiangsu University, China, as a lecturer. His current research interests include micro-nano optoelectronic devices and the field of terahertz science and applications.

Professional Profile:

SCOPUS

Summary of Dr. Xiaoxian Song

Dr. Xiaoxian Song is a distinguished researcher specializing in Micro-nano Optoelectronic Devices and Terahertz Science & Applications. He earned his Ph.D. in Physical Electronics from Tianjin University in 2017 and currently serves as a Lecturer at Jiangsu University’s School of Mechanical Engineering. His research has made a significant impact, with 106 published documents, 1,358 citations, and an h-index of 21, reflecting his substantial contributions to the scientific community. His recent works, published in leading journals such as Optics and Laser Technology, Acta Optica Sinica, Photonics, Materials Letters, and Applied Optics, focus on terahertz sensors, photodetectors, metamaterials, and photothermal detection.

🎓 Education:

  • 📚 B.S. in Optoelectronic Science and Technology – Changchun University of Science and Technology, China (2010)
  • 🎓 Ph.D. in Physical Electronics – Tianjin University, China (2017)

💼 Work Experience:

  • 👨‍🏫 Lecturer – School of Mechanical Engineering, Jiangsu University, China (2017–Present)

🔬 Research Interests:

  • 🏆 Micro-Nano Optoelectronic Devices
  • 📡 Terahertz Science and Applications

🏅 Achievements & Awards:

  • 🥇 Outstanding Researcher Award in the field of optoelectronic science
  • 🏆 Best Paper Award in international conferences on terahertz applications
  • 🏅 Research Grants & Funding for projects in micro-nano photonics
  • 📖 Published in High-Impact Journals related to optoelectronics and terahertz technology

Publication Top Notes:

Dual F-type reflective metal microstructure sensor for BSA detection in terahertz band

Tunable Four-Band Terahertz Metamaterial Absorber Based on Dirac Semimetal

Research on Pt-Based Film Negative Photoconductivity Photothermal Detector Under Different Wavelength Laser Irradiation

High-Responsivity Vis–NIR photodetectors based on Bi2Te3 thin films and Ag2S QDs heterojunction

Simulation study on supercontinuum broadening based on the BIC model

A terahertz chiral metamaterial with tunable dual-band to broadband circular dichroism based on Dirac semimetals

High-Performance Vis–NIR Photodetectors Based on Two-Dimensional Bi2Te3 Thin Film and Applications

Mr. Matyas Lukacs | Traceability Award | Young Scientist Award

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Mr. Matyas Lukacs | Traceability Award | Young Scientist Award

Mr. Matyas Lukacs, Hungarian University of Agriculture and Life Sciences, Hungary

Mátyás Krisztián Lukács, in Hungary, is a food scientist and research engineer specializing in food quality assessment, tracking solutions, and digitalization of the food industry. He is currently pursuing a Ph.D. in Food Science at the Hungarian University of Agriculture and Life Sciences while working as a Professional Coordinator at Neumann Nonprofit Kft. and a Research Engineer at Cibus Hungaricus. With extensive experience in analytical method development, product development, and laboratory accreditation, he has contributed to food industry advancements in Hungary. He has also served as a visiting researcher at the University of Innsbruck and the University of Novi Sad. In addition to his research and industry roles, he is an active lecturer and mentor, teaching courses on cloud-based AI computing and measurement techniques.

Professional Profile:

ORCID

SCOPUS

Summary of Suitability Young Scientist Award

Mátyás Krisztián Lukács is a strong candidate for the Young Scientist Award, given his extensive experience in food science, traceability, and digital solutions. His PhD research, international collaborations, and impactful publications in sensor technology, spectroscopy, and blockchain applications for food quality assessment highlight his innovative contributions. Additionally, his teaching experience and mentorship further demonstrate his dedication to knowledge dissemination. With a robust publication record and a multidisciplinary approach, his work significantly advances food science and technology, making him highly suitable for this award.

🎓 Education

📌 BSc in Food Engineering (2011 – 2014)
Corvinus University of Budapest, Hungary

  • Specialization: Food Preservation and Quality Management

📌 MSc in Food Engineering (2015 – 2017)
Szent István University, Hungary

  • Specialization: Food Technology and Product Development

📌 PhD in Food Science (2022 – Present)
Hungarian University of Agriculture and Life Sciences, Hungary

📌 Visiting Researcher
🔹 University of Innsbruck, Austria (June 2023 – August 2023)
🔹 University of Novi Sad, Serbia (September 2024 – October 2024)

💼 Work Experience

📍 Professional Coordinator (May 2024 – Present)
Neumann Nonprofit Kft., Budapest, Hungary

  • 🚀 Developing a track and tracing application based on European Blockchain Services Infrastructure (EBSI)
  • 🤝 Managing consortium-related communications

📍 Research Engineer (February 2024 – Present)
Cibus Hungaricus, Budapest, Hungary

  • 🏭 Developing tracking solutions for food quality assessment
  • 📊 Analyzing and presenting data from the Hungarian food industry
  • 🌍 Contributing to the digitalization of the Hungarian food sector

📍 Analytical Method Developer (January 2019 – August 2020)
Biotech USA, Szada, Hungary

  • 🧪 Established an analytical laboratory for internal quality assurance
  • 🏆 Developed methods for macronutrient analysis and allergen detection
  • 🔬 Managed laboratory equipment acquisition and accreditation process

📍 Product Developer (July 2017 – December 2018)
Biotech USA, Budapest, Hungary

  • 🏗️ Developed new food products and variations
  • 🔍 Evaluated suppliers and raw materials
  • 👅 Conducted sensory analysis

📍 Internships
🔬 Process & Method Development Intern (July 2016 – August 2016) – Scitec Nutrition, Dunakeszi
📊 Quality Management Intern (July 2014 – October 2014) – Scitec Nutrition, Dunakeszi

🎖️ Achievements, Awards & Honors

🏅 Lecturer & Mentor

  • 📡 Lecturer: Introduction to Cloud-Based AI Computing for Engineers
  • 🛠️ Practical Lecturer: Measurement Techniques, Post-Harvest Technology
  • 🎓 MSc Student Thesis Co-Supervisor
  • 🤝 Internship & Living Lab Mentorship (EUDRES)

🌱 Volunteering

  • 🙏 Served at a Vipassana Meditation Course in Switzerland (July 2023)

🎯 Technical Skills

  • 🎨 Adobe Creative Suite (Photoshop, Animate, Audition, Premiere Pro)
  • 📊 R Studio
  • ☁️ Microsoft Azure Fundamentals & AI Fundamentals
  • 🏢 Microsoft Office (Excel, Word, PowerPoint, Outlook)

Publication Top Notes:

Advanced Digital Solutions for Food Traceability: Enhancing Origin, Quality, and Safety Through NIRS, RFID, Blockchain, and IoT

 

Investigation of the Ultrasonic Treatment-Assisted Soaking Process of Different Red Kidney Beans and Compositional Analysis of the Soaking Water by NIR Spectroscopy

 

Comparison of Multiple NIR Instruments for the Quantitative Evaluation of Grape Seed and Other Polyphenolic Extracts with High Chemical Similarities

Development of state-of-the-art correlative rapid methods for the non-destructive control of fruit products

 

 

Prof. Dr Cornelia Amalinei | Medical Detector | Best Researcher Award

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Prof. Dr Cornelia Amalinei | Medical Detector | Best Researcher Award 

Prof. Dr Cornelia Amalinei, Grigore T. Popa University of Medicine and Pharmacy in Iași, Romania 

Cornelia Amalinei is a Romanian professor, habilitated PhD coordinator, and pathologist at the University of Medicine and Pharmacy “Grigore T. Popa” in Iași, Romania. She holds an MD and a Ph.D. in Medicine from the same institution and has extensive experience in histology, pathology, and neuroscience. With a distinguished academic career, she has served in various teaching and research roles and currently works as a pathologist at the Institute of Legal Medicine in Iași. Her research focuses on malignancy markers, gynecological cytology, forensic diagnosis, and molecular pathways in disease progression. She has coordinated and participated in multiple international research projects and has received prestigious awards, including the Pio Sodalizio Dei Piceni Prize. A member of numerous professional societies, she is also an organizer and invited speaker at international medical conferences.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

ORCID

Summary of Suitability Best Researcher Award

Cornelia Amalinei is a highly qualified researcher with extensive experience in pathology, histology, and medical research. Her contributions span across academia, diagnostics, and international collaborations, making significant advancements in cancer prognosis, gynecological pathology, and forensic diagnosis. She has been recognized with prestigious awards, served as an invited speaker, and actively participated in scientific committees. Her research output includes high-impact publications and leadership roles in multiple research projects, reflecting her strong academic influence. Based on her credentials and impact, she is a highly suitable candidate for the Best Researcher Award.

🎓 Education:

  • Physician Degree (M.D.) – University of Medicine and Pharmacy, Iasi, Romania (1983-1989)
  • Physician Doctor (Ph.D.) – University of Medicine and Pharmacy “Grigore T. Popa”, Iasi, Romania (1993-1997)
  • Pathologist Certification – University of Medicine and Pharmacy “Grigore T. Popa”, Iasi, Romania (1992-1994)

🏥 Work Experience:

  • Professor & Habilitated Ph.D. Coordinator – Histology Department, University of Medicine and Pharmacy “Gr. T. Popa”, Iasi, Romania (2013 – Present)
  • Associate Professor – Histology Department, University of Medicine and Pharmacy “Gr. T. Popa”, Iasi, Romania (2002 – 2013)
  • Lecturer & Assistant Professor – Histology Department, University of Medicine and Pharmacy “Gr. T. Popa”, Iasi, Romania (1991 – 2002)
  • Pathologist – Pathology Laboratory, Institute of Legal Medicine, Iasi, Romania (2008 – Present)
  • Pathologist – Obstetrics and Gynecology Clinic Elena Doamna Hospital, Iasi, Romania (1995 – 2008)

🏆 Awards & Honors:

  • 🎖️ Prize Pio Sodalizio Dei Piceni – Awarded by Adriatic Society of Pathology, Italy (2007)
  • 📢 Invited Speaker & Scientific Committee Member – 1st International Congress of the Kosova Association of Oncology (2004)
  • 🎤 Organizer & Invited Speaker – Gynecological Cytology 4th EFCS Joint Webinar, 2024

🔬 Research & Achievements:

  • Project Coordinator – Digital Transformation of Histology & Histopathology (2022-2024)
  • Research in Diagnosis & Prognosis Markers in Malignancies
  • Forensic Pathology & Gynecological Cytology Expertise
  • Molecular Pathways in Histogenesis & Carcinogenesis
  • Member of Multiple Prestigious Medical & Pathology Societies

Publication Top Notes:

Matrix metalloproteinases involvement in pathologic conditions

CITED:400

The value of PAX8 and WT1 molecules in ovarian cancer diagnosis

CITED:261

Immunohistochemical analysis of steroid receptors, proliferation markers, apoptosis related molecules, and gelatinases in non-neoplastic and neoplastic endometrium

CITED:65

Perirenal adipose tissue—current knowledge and future opportunities

CITED:63

Healing process and laser therapy in the superficial periodontium: a histological study

CITED:54

Dr. Kianoosh Boroojeni | Data Fusion Awards | Best Researcher Award

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Dr. Kianoosh Boroojeni | Data Fusion Awards | Best Researcher Award 

Dr. Kianoosh Boroojeni, Florida International University, United States

Dr. Kianoosh Boroojeni is an Associate Teaching Professor at the Knight Foundation School of Computing & Information Sciences, Florida International University (FIU). He earned his Ph.D. and M.S. in Computer Science from FIU and a B.Eng. in Computer Engineering from the University of Tehran. His research interests include cybersecurity, generative AI in computer science education, STEM education, and computer networks. With over 50 scientific publications and more than 1,150 citations, Dr. Boroojeni has made significant contributions to his field. He has played a pivotal role in integrating AI-powered tools into computer science education and has collaborated with Google to enhance programming courses. His leadership extends to overseeing programming gateway courses, developing cybersecurity curricula, and promoting inclusive computing education. He has received multiple teaching recognitions and actively mentors students.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Kianoosh Boroojeni

Dr. Kianoosh Boroojeni is a highly accomplished researcher and educator in cybersecurity, AI in education, and computer networks, making him a strong candidate for the Best Researcher Award. His academic background, extensive research contributions, and leadership in integrating AI into education highlight his impact in the field.

Education 📚

  • Ph.D., Computer Science – Florida International University, USA (2017)
  • M.S., Computer Science – Florida International University, USA (2016)
  • B.Eng., Computer Engineering – University of Tehran, Iran (2012)

Work Experience 💼

🔹 Associate Teaching Professor – Florida International University (2023 – Present)

  • Leads Programming Gateway Committee to improve programming course success rates 📊
  • Collaborates with Google to integrate Generative AI in CS education 🤖
  • Chairs Faculty & Staff Awards Committee in the College of Engineering & Computing 🏆
  • Supports intensive programming courses like CS I, II & III, Data Structures, and OS 💾

🔹 Assistant Teaching Professor – Florida International University (2017 – 2023)

  • Taught 16+ undergraduate courses and 4 graduate/Ph.D. courses 🏫
  • Developed new cybersecurity courses on Blockchains 🔐
  • Led Google’s Tech-Exchange Program to recruit Hispanic & Black students into Google workforce 🌍
  • Designed and improved online courses to achieve Quality Matters (QM) Certifications ✅
  • Achieved high student evaluations (4.6/5.0 overall) 📈

🔹 Post-Doctoral Fellow – Florida International University (Spring & Summer 2017)

  • Conducted DoD-funded research on network security & privacy 🔎
  • Mentored students in NSF-sponsored Research Experience program 👨‍🏫

🔹 Graduate Assistant – Florida International University (2012 – 2017)

  • Assisted faculty in teaching & grading multiple undergraduate/graduate courses ✍️
  • Collaborated with researchers from Carnegie Mellon & University of British Columbia 🤝

Achievements & Awards 🏅

🏆 Published 50+ scientific papers with 1150+ citations (h-index: 19) 📄
🏆 Led Google-FIU collaboration to integrate LLM-powered AI tools in CS education 🤖
🏆 Chaired Programming Gateway Committee to improve programming course completion rates 🎯
🏆 Successfully developed and taught two new cybersecurity courses on Blockchain 🔐
🏆 Achieved high teaching ratings (4.6/5.0) for multiple CS courses 📊
🏆 Contributed to NSF & DoD research projects on cybersecurity and network security 🏛

Publication Top Notes:

Fundamentals of brooks-iyengar distributed sensing algorithm: Trends, advances, and future prospects

A Multi-time-scale Time Series Analysis for Click Fraud Forecasting using Binary Labeled Imbalanced Dataset

Assist. Prof. Dr. Patima Nizamidin | Waveguide Sensor Awards | Best Researcher Award

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Assist. Prof. Dr. Patima Nizamidin | Waveguide Sensor Awards | Best Researcher Award

Assist. Prof. Dr. Patima Nizamidin, Xinjiang University, China

Patima Nizamidin is a researcher in analytical chemistry specializing in optical waveguide gas sensors, metal-organic framework (MOF) thin films, and the adsorption and transformation of environmental pollutants. She earned her Ph.D. from Xinjiang University, where she has been working in the College of Chemistry since September 2013. Her research focuses on developing advanced gas sensing materials and investigating adsorption kinetics. She has led multiple research projects funded by the National Natural Science Foundation of China and the Xinjiang Uygur Autonomous Region. Patima has published extensively in high-impact journals, contributing significant advancements in optical gas sensing technologies.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Patima Nizamidin

Patima Nizamidin is a highly qualified candidate for the Best Researcher Award based on her strong academic background, extensive research contributions, and impact in analytical chemistry and optical gas sensing.

🎓 Education & Work Experience

  • Ph.D. in Analytical Chemistry from Xinjiang University, China.
  • 👩‍🏫 Work Experience:
    • 2013.09 – Present: Working in the College of Chemistry, Xinjiang University, China.

🏆 Achievements & Research Contributions

  • 🔬 Research Interests:

    • Optical waveguide gas sensors.
    • Metal-organic framework (MOF) thin films and gas adsorption mechanisms/kinetics.
    • Adsorption and transformation of environmental pollutants.

  • 📑 Scientific Research Projects:

    • National Natural Science Foundation of China (NSFC) Grants:
      • (Grant No. 22464018) (2025/01-2028/12).
      • (Grant No. 22164019) (2022/01-2025/12).
    • 🏅 Natural Science Foundation of Xinjiang Uygur Autonomous Region (2021/06-2024/06).
    • 🎓 Youth Foundation of the Education Department of Xinjiang Uygur Autonomous Region (2019/09-2021/07).

  • 📚 Notable Publications:

    • Published multiple high-impact journal papers in Sensors & Actuators B: Chemical, Advanced Optical Materials, Optical & Laser Technology, Journal of Chemical Physics, and more.
    • Research focuses on MOF-based optical gas sensors, optical waveguides, and gas adsorption studies.

🏅 Awards & Honors

  • 🔬 Recognized for outstanding research contributions in the field of analytical chemistry and gas sensing technology.
  • 🏆 Recipient of prestigious NSFC grants for cutting-edge research in optical gas sensing.
  • 🎖 Multiple high-impact publications, contributing significantly to the advancement of MOF-based sensors.

Publication Top Notes:

A Nanoporous Covalent Organic Framework Film-Based Optical Waveguide Sensor for H2S Gas Detection

Rapid development of Nb-BIPA-TC-MOF film based optical wave- guides for the ‘turn-on-off’ detection of acidic-basic gases

Fast fabrication, gas sense characteristics and kinetics of cubic Ti-BIPA-TC-MOF film composite optical waveguides

Gas sensing properties of a maghemite-coupled porphyrin thin film–based optical waveguide sensor

 

Dr. Juan Lei | Sonar Imaging Awards | Best Researcher Award

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Dr. Juan Lei | Sonar Imaging Awards | Best Researcher Award

Dr. Juan Lei, Northwestern Polytechnical University, China

Juan Lei was born in Shaanxi, She received her B.S. degree in Electronic Information Science and Technology from Northwest University, Xi’an, China, in 2008, and her M.S. degree from Northwestern Polytechnical University, Xi’an, China, in 2013. Since September 2018, she has been pursuing a Ph.D. at Northwestern Polytechnical University. Her primary research interests include image processing and deep learning, with a particular focus on underwater sonar signal processing. With expertise in Underwater Unmanned Vehicles and on-board sensors, she has been actively engaged in the development of underwater image recognition and segmentation technologies. She also serves as the Deputy General Manager of Xi’an Tianhe Maritime Technology Co. Ltd., a company dedicated to researching and manufacturing underwater robots and sensor-equipped devices for acquiring underwater images and data.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Juan Lei has demonstrated a strong commitment to research in the field of image processing, deep learning, and underwater sonar signal processing. Her academic journey, from obtaining a B.S. in Electronic Information Science and Technology to an ongoing Ph.D. at Northwestern Polytechnic University, highlights her dedication to advancing scientific knowledge.

📚 Education:

  • 🎓 B.S. in Electronic Information Science and Technology – Northwest University, Xi’an, China (2008)
  • 🎓 M.S. in [Electronic/Engineering Field] – Northwestern Polytechnic University, Xi’an, China (2013)
  • 🎓 Ph.D. Candidate in [Relevant Field] – Northwestern Polytechnic University, Xi’an, China (2018–Present)

💼 Work Experience:

  • 🏢 Deputy General Manager – Xi’an Tianhe Maritime Technology Co. Ltd.
    🔹 Specialized in underwater robotics and sensor-equipped devices for underwater data acquisition
    🔹 Focused on underwater image recognition and segmentation

🏆 Achievements, Awards & Honors:

  • 🥇 Expertise in image processing & deep learning
  • 🌊 Knowledge of Underwater Unmanned Vehicles (UUVs) & onboard sensors
  • 🎯 Research focus on underwater sonar signal processing
  • 🏅 Contributed to advancements in underwater image recognition & segmentation

Publication Top Notes:

CNN–Transformer Hybrid Architecture for Underwater Sonar Image Segmentation