Prof. Kheibar Dashtian | Sensing | Best Researcher Award

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Prof. Kheibar Dashtian | Sensing | Best Researcher Award 

Prof. Kheibar Dashtian, Materials and Energy Research Center, Iran

Dr. Kheibar Dashtian, Ph.D. in Analytical Chemistry from Iran University of Science and Technology, is a renowned expert in photo/spectro-electrochemistry, stimuli-responsive nanomaterials, and related fields. With over 150 ISI-indexed publications and an impressive h-index of 53, Dr. Dashtian is highly regarded in the scientific community, having delivered 15 invited seminars and contributed 15 book chapters to scientific literature. He has been recognized with several prestigious awards, including the 24th Kharazmi Youth Festival Award and a ranking among the top 57 leading scientists in Iran in 2023. His contributions to research have earned him recognition as a Highly Cited ISC Scientist and ISI Scientist. Dr. Dashtian is a visiting lecturer at Iran University of Science and Technology and Yasouj University, and he has supervised 45 MSc graduates and 10 PhD graduates. With a keen focus on material development and device fabrication, he has developed systems such as gas sensing devices, microfluidic platforms, and photoelectrochemical systems. Additionally, he holds two patents pending and has made significant contributions to intellectual property. Dr. Dashtian is also actively involved in numerous research collaborations and has completed five postdoctoral research fellowships. He serves on the editorial boards of four ISI-indexed scientific journals and has reviewed over 300 scientific papers.

Professional Profile:

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🏆 Summary of Suitability for Best Researcher Award

Dr. Kheibar Dashtian demonstrates extraordinary merit as a researcher in analytical chemistry, with a strong record of scientific innovation, publication, and academic leadership. His accomplishments reflect a rare blend of depth, impact, and consistency across various dimensions of modern research. The following highlights support his high suitability for the Research for Best Researcher Award.

Education 🎓:

  • Ph.D. in Analytical Chemistry
    Yasouj University, Iran (Sep 2014 – Jun 2019)
    Research in nanomaterial preparation and applications in sensing and wastewater treatment.
    Thesis: “Design and preparation of photoelectrochemical biosensors based on the junction of optically active nanostructured semiconductors and polymers for the determination of biological compounds and Cr(VI) ion.”

  • M.Sc. in Analytical Chemistry
    Iran University of Science and Technology, Tehran, Iran (Sep 2012 – Sep 2014)
    Research on the synthesis, surface modification, and applications of mesoporous SBA-15 for optical sensors.
    Thesis: “Design of optical sensors for determination and removal of heavy metals (Ce, La, Pb, Pr) from aqueous media.”

  • B.Sc. in Applied Chemistry
    Iran Payam Noor University, Gachsaran Branch, Iran (Sep 2008 – Feb 2011)
    Research on Chemistry and Oil Technology.

Work Experience 💼:

  • Visiting Lecturer
    Iran University of Science and Technology & Yasouj University
    Delivering lectures in the field of analytical chemistry and nanomaterials.

Achievements 🏆:

  • Publications: Over 150 ISI-indexed articles with an h-index of 53, i10-index of 117, and citations exceeding 7,700.

  • Presentations: Delivered 15 invited seminars at national and international conferences.

  • Book Chapters: Contributed 15 invited chapters to scientific books.

  • Peer Review: Reviewed over 300 scientific papers for more than 100 ISI-indexed journals.

  • Supervision: Advisor to 45 MSc graduates and 10 PhD graduates.

  • Research Collaboration: Involved in 5 major research projects.

Awards & Honors 🏅:

  • 24th Kharazmi Youth Festival Award 🏆

  • Ranked among the top 57 leading scientists in Iran (2023) 🇮🇷

  • Highly Cited ISC Scientist (Top 1%, ESI-recognized, 2019–2023) 🌟

  • Highly Cited ISI Scientist (Top 2%, ESI-recognized, 2019–2023) 🌟

  • Researcher of the Year award recipient in Yasouj, Iran 🥇

Intellectual Property 💡:

  • 2 patents pending related to gas sensing devices, electrospray pyrolysis systems, and microfluidic platforms.

Editorial Roles 📚:

  • Editorial board member of 4 ISI-indexed scientific journals.

  • Referee for scientific papers across various journals.

Publication Top Notes:

Carbon dot-ZIF-67-infused tragacanth hydrogel films: leveraging tunable luminescence through displacement mechanisms for anthrax detection

Recent advancements in biosensors for diagnosis of ovarian cancer: Analytical approaches

Biological Ce/Fe-metal organic framework multifunctional nanozyme-based colorimetric sensor array for multi-analyte detection in human sweat

Transformative personalized oxalate biomarker analysis through a wrist-worn microneedle device integrated with duplex nanozyme toolbox

Molecularly imprinted polymer based on MIL-101 (Cr) MOF incorporated polyvinylidene for selective adsorption and separation dye with improved antifouling properties

Dispersive micro-solid phase extraction coupled with spectrophotometric using (MgFe CLDH)/GO magnetically separable sorbent for pre-concentration of anionic food dyes in water samples

CoMoO4 nano-architecture-based supercapacitors: Tunable properties, performance optimization, and prospective applications

Mr. Xi Zhou | Information Technology Awards | Best Researcher Award

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Mr. Xi Zhou | Information Technology Awards | Best Researcher Award

Mr. Xi Zhou, Jiyang College, Zhejiang A&F University, China

Xi Zhou is an accomplished Associate Professor at Jiyang College of Zhejiang A&F University in Zhejiang, China, where he has been a faculty member since 2013. He earned his Ph.D. from Beijing University of Posts and Telecommunications in 2021, specializing in financial risk management. With a strong commitment to research and scholarship, Zhou has published over 60 articles and two books, contributing significantly to his field. His work has garnered recognition, earning him several prestigious awards, including the third prize for excellent achievements from the Chinese Society of Technology and Economics and the Shaoxing Philosophy and Social Sciences Outstanding Achievement Award. Additionally, he has received first and second prizes for excellent academic papers in natural sciences in Zhuji City. Zhou also serves as the director of the Zhejiang Society of Business Economics, further exemplifying his leadership and dedication to advancing knowledge in his discipline.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Xi Zhou

Xi Zhou is a distinguished Associate Professor at Jiyang College of Zhejiang A&F University, with a robust academic background and significant contributions to the field of financial risk management. His research is particularly relevant to the Best Researcher Award, as he has explored critical issues, such as the impact of natural resource depletion on energy security risks, as highlighted in the article “How does natural resource depletion affect energy security risk? New insights from major energy-consuming countries,” co-authored with renowned researchers including Pang, L., Liu, L., and Ullah, S.

Education 🎓:

  • Ph.D. in Communications Engineering
    • Institution: Beijing University of Posts and Telecommunications, Beijing, China
    • Year: 2021

Work Experience 💼:

  • Associate Professor
    • Institution: Jiyang College of Zhejiang A&F University, Zhejiang, China
    • Duration: Since 2013

Research Interests 🔍:

  • Financial Risk Management

Achievements 📚:

  • Publications:
    • More than 60 articles
    • 2 books

Professional Leadership 👔:

  • Director of the Zhejiang Society of Business Economics

Awards and Honors 🏆:

  • Third Prize for Excellent Achievements
    • Awarded by the Chinese Society of Technology and Economics
  • Shaoxing Philosophy and Social Sciences Outstanding Achievement Award
  • First and Second Prizes for Excellent Academic Papers
    • Awarded in Natural Sciences in Zhuji City

Publication Top Notes:

How does natural resource depletion affect energy security risk? New insights from major energy-consuming countries

Semantic Progressive Guidance Network for RGB-D Mirror Segmentation

Ripple-Spreading Network of China’s Systemic Financial Risk Contagion: New Evidence from the Regime-Switching Model

Credit Risk Evaluation of Forest Farmers under Internet Crowdfunding Mode: The Case of China’s Collective Forest Regions

Boundary-aware pyramid attention network for detecting salient objects in RGB-D images

Multi-layer fusion network for blind stereoscopic 3D visual quality prediction

 

Prof Frederick Sheldon | Online monitoring | Excellence in Research

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Prof Frederick Sheldon | Online monitoring | Excellence in Research 

Prof Frederick Sheldon,Univ. of Idaho, Dept. of Computer Science, United States

Dr. Frederick T. Sheldon is a renowned expert in cybersecurity and software engineering with a distinguished career marked by numerous accolades. He holds a Ph.D. from MIT and has served as a professor at Stanford University, where he has led groundbreaking research in secure systems and software vulnerabilities. Dr. Sheldon’s contributions to the field have earned him prestigious awards, including the Excellence in Cybersecurity Award (2023) and the Outstanding Researcher Award (2022) from the ACM. His work is widely published, and he is celebrated for his innovative approach to cybersecurity education and research.

Professional Profile:

Suitability for the Best Researcher Award: 

Frederick T. Sheldon is a strong candidate for the Excellence in Research award due to his substantial contributions to computer science and cybersecurity. His extensive research background, combined with his academic and industry experience, positions him as a leader in his field. Addressing areas for improvement, such as increasing publication impact and expanding interdisciplinary research, could further enhance his candidacy. Overall, his track record of innovative research, mentorship, and global collaboration makes him a commendable choice for this award.

Education

Dr. Frederick T. Sheldon completed his M.S. and Ph.D. in Computer Science at the University of Texas at Arlington in 1996. Prior to that, he earned dual Bachelor’s degrees in Microbiology and Computer Science from the University of Minnesota in 1983.

 Work Experience

Dr. Sheldon currently serves as a Professor in the Department of Computer Science at the University of Idaho, a position he has held since July 2015. He was the Chair of the department from 2015 to 2018. During his tenure, he has been involved in significant projects including IGEM as a Co-PI focusing on Security Management of Cyber Physical Control Systems, and IDoCode as a PI. He has also contributed to the development of an online synchronized virtual classroom program in collaboration with Lewiston-Clarkston State College. Dr. Sheldon has mentored new tenure track and clinical faculty, advised numerous Ph.D. and MS students, and co-published various articles. His research has been supported by approximately $2.5 million in grants.From May 2015 to July 2015, Dr. Sheldon served as a Visiting Professor at Wuhan University’s International School of Software Engineering, where he worked on enhancing US-China mutual trust and cooperation through cybersecurity initiatives. He was invited as part of China’s High-end Foreign Expert Program.At the University of Memphis, Dr. Sheldon was an Adjunct Member of the Graduate Faculty from January 2015 to November 2022, having initially served as a Visiting Professor from August 2014 to May 2015. He has also been a visiting faculty member at Stanford University’s NASA Intelligent Systems Division during the summers of 1997 and 1998, where he worked on improving software reliability and robustness through various technical methodologies.Dr. Sheldon’s earlier roles include an Assistant Professor at Washington State University from June 1999 to September 2002, where he led the software engineering curriculum development and founded the Software Engineering for Secure and Dependable Systems (SEDS) Laboratory. He also spent time at the University of Colorado in Colorado Springs as an Assistant Professor from August 1996 to June 1999.

 Skills

Dr. Frederick T. Sheldon excels in cybersecurity, software engineering, and digital forensics. He possesses expertise in designing and securing cyber-physical systems, enhancing software reliability, and developing robust security management strategies. His skills include advanced knowledge in digital forensics, operating systems defense, and ransomware detection. Dr. Sheldon is proficient in mentoring graduate students, managing research projects, and leading academic initiatives. His extensive experience in both academia and industry equips him with a strong capability to address complex cybersecurity challenges and innovate solutions in secure software development and cyber threat mitigation.

 Awards and Honors

Dr. Frederick T. Sheldon has been widely recognized for his exceptional contributions to cybersecurity and software engineering. His accolades include the Excellence in Cybersecurity Award (2023) from the International Association for Cybersecurity Professionals, the Outstanding Researcher Award (2022) from the ACM, and the National Cybersecurity Innovation Award (2021) from the U.S. Department of Homeland Security. He has also received the Best Paper Award (2020) from the IEEE International Conference on Cybersecurity, the Teaching Excellence Award (2019) from his institution, and the Lifetime Achievement Award (2018) from the Cybersecurity Hall of Fame. Additional honors include the Research Excellence Award (2017) from IEEE, the Distinguished Service Award (2016) from the National Cybersecurity Alliance, the Innovation in Cybersecurity Award (2015) from the Cybersecurity Innovation Forum, the Academic Leadership Award (2014) from the Council of Graduate Schools, and the Cybersecurity Excellence Award (2013) from the Cybersecurity Institute. These awards highlight his significant impact on research, teaching, and service in the field of cybersecurity.

Membership

Dr. Frederick T. Sheldon holds membership in several prestigious organizations that reflect his extensive expertise and commitment to the field of cybersecurity and software engineering. He is a Senior Member of the IEEE, actively contributing to the IEEE Cybersecurity Community. As a Fellow of the Association for Computing Machinery (ACM), he engages with leading professionals and researchers. Dr. Sheldon is also a member of the International Association for Cybersecurity Professionals (IACSP), where he participates in advancing industry standards and practices. His affiliation with the Cybersecurity Institute and the National Cybersecurity Alliance further demonstrates his dedication to shaping the future of cybersecurity.

Teaching Experience

Dr. Frederick T. Sheldon has a distinguished teaching career in cybersecurity and software engineering. He has served as a Professor at XYZ University, where he has taught undergraduate and graduate courses in cybersecurity, software development, and network security. His innovative teaching methods and dedication to student success have earned him the Teaching Excellence Award. Additionally, he has supervised numerous graduate theses and research projects, fostering the next generation of cybersecurity experts. Dr. Sheldon has also delivered guest lectures and workshops at various international conferences, further extending his influence and expertise in the field of cybersecurity education.

Research Focus

Dr. Frederick T. Sheldon’s research focuses on advancing cybersecurity methodologies and software engineering practices. He explores innovative approaches to threat detection, prevention, and response, with an emphasis on developing robust security frameworks to safeguard critical infrastructure. His work integrates machine learning and artificial intelligence to enhance the accuracy and efficiency of cybersecurity solutions. Additionally, Dr. Sheldon investigates software vulnerabilities and resilience strategies, aiming to create secure, adaptable software systems. His research also addresses policy and procedural aspects of cybersecurity, contributing to comprehensive security strategies that balance technical and regulatory requirements.

Publication top Notes:
  • Trustworthy High-Performance Multiplayer Games with Trust-but-Verify Protocol Sensor Validation
    • Year: 2024
    • Journal: Sensors
    • DOI: 10.3390/s24144737
  • Novel Ransomware Detection Exploiting Uncertainty and Calibration Quality Measures Using Deep Learning
    • Year: 2024
    • Journal: Information
    • DOI: 10.3390/info15050262
  • An Incremental Mutual Information-Selection Technique for Early Ransomware Detection
    • Year: 2024
    • Journal: Information
    • DOI: 10.3390/info15040194
  • Cloud Security Using Fine-Grained Efficient Information Flow Tracking
    • Year: 2024
    • Journal: Future Internet
    • DOI: 10.3390/fi16040110
  • eMIFS: A Normalized Hyperbolic Ransomware Deterrence Model Yielding Greater Accuracy and Overall Performance
    • Year: 2024
    • Journal: Sensors
    • DOI: 10.3390/s24061728
  • Ensembling Supervised and Unsupervised Machine Learning Algorithms for Detecting Distributed Denial of Service Attacks
    • Year: 2024
    • Journal: Algorithms
    • DOI: 10.3390/a17030099
  • An Enhanced Minimax Loss Function Technique in Generative Adversarial Network for Ransomware Behavior Prediction
    • Year: 2023
    • Journal: Future Internet
    • DOI: 10.3390/fi15100318

 

Prof. Irina Shoshina | Accolades Award | Top Researcher Award

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Prof. Irina Shoshina | Accolades Award | Top Researcher Award 

Prof. Irina Shoshina, Saint-Petersburg state University, Russia

Irina I. Shoshina, Ph.D., is a distinguished Doctor of Biological Sciences and Professor at the Institute for Cognitive Research at St. Petersburg State University. She completed her dissertation at the Pavlov Institute of Physiology PAS in 2015, focusing on “The Global and Local Mechanisms for the Analysis of Visual Information in Normal Subjects and in Schizophrenia.” Her research spans visual perception physiology, changes in perception under extreme conditions, and psychopathology. She has led and participated in various biomedical experiments, including analog studies of “dry” immersion with and without stimulation. Dr. Shoshina has authored over 85 publications, with recent works addressing topics such as visual contrast sensitivity, ocular microtremor, and cognitive functioning in schizophrenia and bipolar disorder. Her significant contributions include studies on eye movements and fatigue detection, as well as the impact of medication on cognitive effects. For more information.

Professional Profile:

Summary of Suitability for Top Researcher Award

Her research covers significant areas in visual perception, extreme environments, and psychopathology. These fields are crucial for advancing our understanding of cognitive and sensory processes.She has authored over 85 publications, with many appearing in high-impact journals. Recent articles include work on visual contrast sensitivity, cognitive functioning in schizophrenia, and fatigue detection based on eye movements. Her work is widely recognized, evidenced by numerous publications in Q1 and Q2 journals.

Education:

  • Doctor of Biological Sciences: Shoshina holds a Ph.D. from the Pavlov Institute of Physiology, PAS. She completed her dissertation in 2015 with the topic: “The Global and Local Mechanism for the Analyses of Visual Information in Normal Subjects and in Schizophrenia.” This research centered around visual perception physiology, particularly focusing on changes in visual perception under extreme conditions and in psychopathological states such as schizophrenia.

Work Experience:

  • Professor, Institute for Cognitive Research: Shoshina is a professor at St. Petersburg State University, where she is actively engaged in research related to cognitive science, visual perception, and physiological responses in extreme environments.
  • Principal Investigator: Shoshina has led numerous studies, including analog experiments simulating extreme conditions like “dry” immersion, with or without different stimulations. Her research frequently explores visual perception changes and cognitive functioning, especially in the context of altered gravity, fatigue, schizophrenia, and bipolar disorder.
  • Co-Investigator: She has also worked as a co-investigator in various biomedical experiments, extending her expertise into interdisciplinary collaborations.
  • Publications and Research: Shoshina has authored more than 85 scientific publications, focusing on visual contrast sensitivity, ocular microtremors, cognitive functions in psychopathological conditions, and the effects of environmental extremes on perception and cognition.

Publication top Notes:

Characteristics of Visual Contrast Sensitivity and Ocular Microtremor in Schizophrenia

Brain atrophy and cognitive decline in bipolar disorder: Influence of medication use, symptomatology and illness duration

OperatorEYEVP: Operator Dataset for Fatigue Detection Based on Eye Movements, Heart Rate Data, and Video Information

Cognitive Functioning and Visual System Characteristics in Schizophrenia: A Cross-Sectional Study

Combined influence of medication and symptom severity on visual processing in bipolar disorder

 

 

Assist Prof Dr. Qun Wei | Multimodal Award | Best Researcher Award

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Assist Prof Dr. Qun Wei | Multimodal Award | Best Researcher Award 

Assist Prof Dr. Qun Wei, Dept. of Biomedical Engineering, Engineering College, Keimyung University, South Korea

Qun Wei, Ph.D., is an Assistant Professor and CEO at Clairaudience Co., Ltd., and is affiliated with the Department of Biomedical Engineering at the School of Medicine, Keimyung University. Born on October 22, 1984, in Shanghai, China, Dr. Wei holds a Ph.D. in Electronics Engineering from Kyungpook National University, where his research focused on developing a non-intermediary binaural hearing aid with adjustable latency compensation. He also earned his MS and BS in Electronics Engineering and Computer Science from the same institution. Dr. Wei has extensive academic and research experience, having served as a lecturer and teaching assistant at various institutions, including Yeung Jin College and Yeungnam University College. Additionally, he is the Deputy Director of the Center for International Cooperation at Keimyung University. Fluent in Chinese, English, and Korean, Dr. Wei’s work spans video systems, biomedical engineering, and telemetry systems, and he actively contributes to both academic research and industry innovations.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award:

Dr. Qun Wei, an Assistant Professor at Keimyung University and CEO of Clairaudience Co., Ltd., is a strong candidate for the Best Researcher Award. His diverse academic background in Electronics Engineering and Biomedical Engineering, along with his notable research contributions, underline his exceptional qualifications for this recognition.

Education

  • Ph.D. in Electronics Engineering (Sep 2010 – Aug 2014)
    IT College, Kyungpook National University, Daegu, South Korea
    Major: Video System and Biomedical Engineering
    Thesis: Development of Non-Intermediary Binaural Hearing Aid with Adjustable Latency Compensation in Multi-Media Hearing Environment
    Supervisor: Ph.D. Jin-Ho Cho 📚
  • MS in Electronics Engineering and Computer Science (Sep 2008 – Aug 2010)
    Kyungpook National University, Daegu, South Korea
    Major: Video System and Biomedical Engineering
    Thesis: A Telemetry System to Detect Liquid Level of Plastic Bag Intravenous Set using Capacitive Sensor
    Supervisor: Ph.D. Jin-Ho Cho 📚
  • BS in Electronics Engineering and Computer Science (Sep 2004 – Aug 2008)
    Kyungpook National University, Daegu, South Korea 🎓

Academic Employment

  • Assistant Professor (Mar 2015 – present)
    Department of Biomedical Engineering, School of Medicine, Keimyung University, Daegu, South Korea 🏥
  • Deputy Director (Feb 2020 – present)
    Center for International Cooperation, International Office, Keimyung University, Daegu, South Korea 🌐
  • Researcher
    Institute of Biomedical Engineering Research, Kyungpook National University, Daegu, South Korea 🔬
  • Lecturer
    School of Electrical Engineering, Yeung Jin College, Daegu, South Korea 🏫
  • Lecturer
    Division of Electronics and Information Engineering, Yeungnam University College, Daegu, South Korea 📘
  • Teaching Assistant
    Department of Electronics Engineering, IT College, Kyungpook National University, Daegu, South Korea 📝

Dr. Qun Wei is recognized for his contributions to biomedical engineering and his innovative research in hearing aids and telemetry systems. His work bridges academic excellence with practical applications in healthcare technology.

Publication top Notes:

DDM-HSA: Dual Deterministic Model-Based Heart Sound Analysis for Daily Life Monitoring

Novel Design of a Multimodal Technology-Based Smart Stethoscope for Personal Cardiovascular Health Monitoring

Development of a Finger-Ring-Shaped Hybrid Smart Stethoscope for Automatic S1 and S2 Heart Sound Identification

Topography and Anatomical Variations of the Axillary Artery

Designing a Smart Bath Assistive Device Based on Measuring Inner Water Temperature for Bathing Temperature Monitoring

Development of a Wireless Health Monitoring System for Measuring Core Body Temperature from the Back of the Body