Shakir Khan | Politeness | Best Researcher Award

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Prof. Shakir Khan | Politeness | Best Researcher Award

Prof. Shakir Khan, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia.

Dr. Shakir Khan is a renowned professor in the Information Technology Department at Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia. He is listed in the World’s Top 2% Scientists for 2024, as per Stanford University and Elsevier. With over 18 years of national and international experience, Dr. Khan has contributed extensively to the fields of Machine Learning, Data Science, AI, and E-Learning. He has published over 100 research papers, including 76 indexed in Web of Science. He has also been involved in numerous academic leadership roles, including committee memberships for ABET and NCAAA accreditation processes. Dr. Khan is an active part-time consultant for the King Abdulaziz Public Library and a celebrated academic mentor, having supervised many master’s students in various computer science disciplines. 🧑‍🏫💻

Professional Profile

Google Scholar

Suitability of Shakir Khan for the Best Researcher Award

Dr. Shakir Khan is undoubtedly a strong contender for the Best Researcher Award. His research spans key areas in technology, including Machine Learning, AI, Data Science, Bioinformatics, and IoT, which have wide applications across industries such as healthcare, education, and security.

Education

Dr. Shakir Khan holds a Ph.D. in Computer Science from CSJM University, Kanpur, India, where he researched Cloud Computing and Data Mining for E-Learning applications. He also earned an MSc in Computer Science from Jamia Hamdard, New Delhi, India, focusing on SMS Automation Systems. His academic journey includes a Post Graduate Diploma in Computer Applications (PGDCA) from Pondicherry University and a BSc from Delhi University. These qualifications have laid a solid foundation for his research and professional expertise in emerging technologies like AI, IoT, and Cloud Computing. His doctoral dissertation, exploring Cloud Computing and Data Mining, remains highly regarded for its impact on the development of service-oriented architectures in e-learning systems. 🎓📚

Experience

Dr. Shakir Khan’s career spans over 18 years, during which he has held various prestigious academic positions. He currently serves as a Professor in the Information Technology Department at IMSIU, Riyadh, where he has taught a wide range of undergraduate and postgraduate courses, such as Data Science, Big Data, Cloud Computing, and Data Visualization. Prior to this, he worked as a Researcher/Assistant Professor at King Saud University, Riyadh. Dr. Khan also has consulting experience with the King Abdulaziz Public Library and Kwarim Ltd, Riyadh. He has been involved in the delivery of several workshops on data mining, machine learning, and big data, contributing to the professional development of IT professionals across Saudi Arabia. His career also includes roles as a software engineer and IT manager in India. 💼🌍

Research Interest

Dr. Shakir Khan’s research interests lie in the domains of Machine Learning, AI, Data Science, Bioinformatics, Cloud Computing, and IoT. He is particularly focused on developing innovative AI and machine learning models to improve healthcare systems, enhance e-learning platforms, and address challenges in smart cities through IoT applications. His work in bioinformatics seeks to advance data-driven solutions for health issues such as disease prediction and prevention. Furthermore, his research explores the application of big data analytics in diverse sectors, aiming to streamline processes and improve decision-making. Dr. Khan’s interdisciplinary research approach continues to inspire future advancements in both academia and industry. 🤖🔬

Awards

Dr. Shakir Khan has received numerous prestigious awards, including recognition as one of the World’s Top 2% Scientists for 2024. He has also been honored with the Research Excellence Reward for 2022 and 2023 by Imam Mohammad Ibn Saud Islamic University, Riyadh. In 2022, he led a team to win the ACM Programming JAM 7.0 competition at Prince Sultan University, securing third place out of 40 teams. His achievements also include winning the DTEDUHACK 2023 with a project on virtual history museums. These accolades underscore Dr. Khan’s leadership and innovation in the fields of IT and research. 🏆🌟

Publication

AI student success predictor: Enhancing personalized learning in campus management systems

CITED: 27

A secure data transmission framework for IoT enabled healthcare

CITED: 01

Modified M‐RCNN approach for abandoned object detection in public places

CITED: 10

SA-Bi-LSTM: Self Attention With Bi-Directional LSTM based Intelligent Model for Accurate Fake News Detection to ensured information integrity on social media platforms

CITED: 04

Hybrid machine learning models to detect signs of depression

CITED: 14

Wall Net: Hierarchical Visual Attention-Based Model for Putty Bulge Terminal Points Detection

CITED: 01

Kim Bjerge | Signal Processing | Best Researcher Award

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Kim Bjerge | Signal Processing | Best Researcher Award

Mr. Kim Bjerge, Aarhus University, Denmark.

Kim Bjerge is an Associate Professor at Aarhus University in the Department of Electrical and Computer Engineering, specializing in Signal Processing and Machine Learning. With a Ph.D. focused on Computer Vision and Deep Learning for Insect Monitoring, Kim combines academic expertise with significant industry experience. He has held various teaching and leadership positions at Aarhus University and has contributed to research projects in computer vision. His work has resulted in a notable H-index of 14 and 1080 citations on Google Scholar. Kim is dedicated to advancing technology in engineering education and research. 🎓💻📈

Publication Profiles 

Googlescholoar

Education and Experience

  • Ph.D. in Computer Vision and Deep Learning for Insect Monitoring (Aarhus University, 2022 – present) 📚
  • M.Sc. Eng. in Information Technology (Aarhus University, 2013) 📖
  • B. Eng. in Electronics Engineering (Engineering College of Aarhus, 1989) 🔧
  • Associate Professor and Group Leader (Aarhus University, 2021 – present) 🎓
  • Associate Professor and Group Leader, Signal Processing (Aarhus University, 2009 – 2020) 📊
  • Senior Consultant, IT-Development (Danish Technological Institute, 2007 – 2009) 🛠️
  • Software Development Manager (TC Electronic A/S, 1999 – 2007) 🎶
  • System Developer (Crisplant A/S, 1996 – 1999) 📦
  • System Manager (Sam-system A/S, 1989 – 1996) 💼

Suitability For The Award

Mr. Kim Bjerge, Associate Professor at Aarhus University’s Department of Electrical and Computer Engineering, is an exemplary candidate for the Best Researcher Award due to his outstanding contributions to computer vision, deep learning, and signal processing. With a remarkable career spanning academia and industry, he has made groundbreaking advancements in the fields of artificial intelligence, embedded systems, and digital signal processing, impacting both research and application development globally.

Professional Development

Kim Bjerge has pursued extensive professional development through various programs. He completed the Pedagogical Programme in Engineering at the Center for Engineering Education Research and Development, earning 10 ECTS credits. Additionally, he participated in project management training at Provinu and various management courses at Aarhus Business College, enhancing his skills in human resources, organizational strategy, and software engineering. His commitment to ongoing learning ensures that he remains at the forefront of engineering education and technology. 📚🔧🌱

Research Focus

Kim Bjerge’s research focuses on the intersection of computer vision, deep learning, and machine learning, particularly in the context of insect monitoring. His work aims to develop innovative solutions that enhance the understanding and management of ecological systems through advanced image analysis and artificial intelligence techniques. By leveraging his expertise in signal processing, he contributes to the development of cutting-edge technologies that have practical applications in various fields, including agriculture and environmental science. 🌱🔍🤖

Publication Top Notes 

  • Deep learning and computer vision will transform entomology – Cited by: 362, Year: 2021 📖
  • Towards the fully automated monitoring of ecological communities – Cited by: 141, Year: 2022 🌱
  • An automated light trap to monitor moths (Lepidoptera) using computer vision-based tracking and deep learning – Cited by: 119, Year: 2021 🦋
  • Real-time insect tracking and monitoring with computer vision and deep learning – Cited by: 110, Year: 2021 📹
  • A computer vision system to monitor the infestation level of Varroa destructor in a honeybee colony – Cited by: 85, Year: 2019 🐝
  • Accurate detection and identification of insects from camera trap images with deep learning – Cited by: 61, Year: 2023 🔍
  • A living laboratory exploring mobile support for everyday life with diabetes – Cited by: 40, Year: 2010 📱
  • Hierarchical classification of insects with multitask learning and anomaly detection – Cited by: 26, Year: 2023 📊
  • Enhancing non-technical skills by a multidisciplinary engineering summer school – Cited by: 19, Year: 2017 🎓

Claudia Lopes | Biopotential electrodes | Best Researcher Award

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Dr. Claudia Lopes | Biopotential electrodes | Best Researcher Award

Dr. Claudia Lopes, University of Minho, Portugal.

Cláudia Lopes, a Portuguese researcher, has been at the forefront of Materials Science since 2011, specializing in nanostructured thin films for sensing applications. She is currently a research scientist at the Centre of Physics at the Universities of Minho and Porto, focusing on developing flexible and dry sensors for wearable technology in the biomedical field. Cláudia is a leader in interdisciplinary research, managing both national and international projects, including pre-clinical trials for sensor validation. Her expertise extends to teaching, as she imparts knowledge on materials science, physics, and biomedical technologies to students, fostering the next generation of scientists.

Professional Profile

Scopus

ORCID

Suitability of Claudia Lopes for the Best Researcher Award

Cláudia Lopes is undoubtedly a deserving candidate for the Best Researcher Award. Her contributions to the Materials Science and Biomedical Engineering fields, through cutting-edge research, leadership in national and international projects, and her mentorship of young scientists, reflect her dedication to advancing science and technology.

Education 🎓

Cláudia earned her Ph.D. in Physics from the University of Minho (2015-2018), where she developed Ti-based intermetallic thin films for biomedical sensing, with her thesis receiving the classification “Very Good.” Prior to that, she completed a Master’s in Physics at the same university (2007-2009), focusing on Ti-Si-C thin films, also earning a “Very Good” classification. She furthered her knowledge with a B.Sc. in Physics and Chemistry Teaching in 2003. Her education was supplemented with certifications in Hygiene, Health, and Safety at work (2006-2007).

Experience 🧑‍🔬

Cláudia’s career spans various prestigious institutions, with notable roles such as a Researcher at CF-UM-UP University of Minho since 2020. Previously, she held positions at INEGI and Instituto Pedro Nunes. Her career began in teaching physics and chemistry in high school from 2003 to 2011, which laid the foundation for her later academic roles. Her experience in both research and teaching underscores her leadership in the scientific community, particularly in developing wearable biomedical sensors. Cláudia also leads several interdisciplinary projects and collaborates with both national and international research teams.

Research Interests 🔬

Cláudia’s research interests are centered on the development of advanced materials, specifically nanostructured thin films for biomedical applications. She specializes in Physical Vapour Deposition (PVD) processes to create thin films for sensing applications, focusing on dry and flexible sensors for wearable technologies. Her work includes exploring functionalization of materials, nanoplasmonic sensors, and biopotential monitoring. She is also interested in the development of smart materials, CFRP composites, and nanomaterials for various applications, particularly in health, energy harvesting, and sustainable development.

Awards 🏆

Throughout her career, Cláudia has received recognition for her contributions to materials science and biomedical engineering. She has received multiple grants for her innovative research, including funding from the FCT and various international programs. Notably, she has been involved in several high-impact projects like the EUROSTARS Eureka NeMoRehab and FLEX-HEALTH initiatives. Her scientific work has also garnered attention from the European Commission’s innovation radar, highlighting her excellence in research and development of novel sensing materials.

Publications 📚

Asymmetrical magnetoimpedance on Permalloy/Ag multilayer for high-frequency sensor applications

The influence of the nanostructure design on the corrosion behaviour of TiN thin films prepared by glancing angle deposition

Evaluation of Performance and Longevity of Ti-Cu Dry Electrodes: Degradation Analysis Using Anodic Stripping Voltammetry

Enhancing thermoelectric effect with BaTiO3-doped ZrO2 tapes and ferromagnetic nanostructures

Nanostructured ZnO thin film to enhance gutta-percha’s adhesion to endodontic sealers

Smart Carbon Fiber-Reinforced Polymer Composites for Damage Sensing and On-Line Structural Health Monitoring Applications

PAVLOS TSOUVALTZIS | Plant physiology | Best Researcher Award

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Dr. PAVLOS TSOUVALTZIS | Plant physiology | Best Researcher Award 

Dr. PAVLOS TSOUVALTZIS, University of Florida, United States

Dr. Pavlos Tsouvaltzis, an accomplished horticulturist, specializes in vegetable crops and postharvest technology. He currently serves as an Assistant Professor of Vegetable Horticulture at the Southwest Florida Research and Education Center, University of Florida. With a strong academic foundation from Aristotle University of Thessaloniki (AUTh), his expertise lies in enhancing vegetable production and postharvest quality using innovative techniques. He has authored numerous peer-reviewed publications and supervised graduate theses internationally. Dr. Tsouvaltzis actively contributes as a reviewer for scientific journals and serves on editorial boards, emphasizing sustainable and technologically advanced horticultural practices. 🌍🌿

Professional Profile

Scopus

ORCID

Suitability of PAVLOS TSOUVALTZIS for the Best Researcher Award

Pavlos Tsouvaltzis exhibits a remarkable track record in the field of vegetable horticulture, with an impressive academic and research career spanning several prestigious institutions, including the University of Florida and Aristotle University of Thessaloniki.

Education 🎓

Dr. Tsouvaltzis pursued his BSc in Agriculture (2001), MSc in Horticultural Science (2003), and Ph.D. in Vegetable Horticulture (2008) from AUTh. His Ph.D. dissertation explored the physiology and quality of minimally processed leek. He furthered his education through sabbaticals and short courses in postharvest technologies and molecular techniques at renowned institutions, including the University of Florida and UC Davis. His interdisciplinary training underscores his dedication to advancing horticultural science. 🧬📘

Experience 💼

Dr. Tsouvaltzis has held various academic positions, progressing from Lecturer to Associate Professor at AUTh before joining the University of Florida in 2023. He has also served as a postdoctoral associate at UF’s Horticultural Sciences Department. His international collaborations include research in Italy and mentoring visiting scholars from Turkey and Argentina. His academic leadership extends to advising numerous graduate theses and contributing to global agricultural research. 🌎📚

Research Interests 🔬

Dr. Tsouvaltzis is passionate about vegetable crop production, postharvest biology, and sustainable horticulture. His research emphasizes improving the nutritional quality of vegetables, employing non-destructive techniques, and understanding the impacts of environmental stresses. He also explores innovative cultivation systems like hydroponics to optimize yield and quality. His work bridges fundamental research and practical applications for global food security. 🌾🌱

Awards 🏆

Dr. Tsouvaltzis has received recognition for his significant contributions to horticulture, including nominations for prestigious awards. His efforts have been acknowledged by international conferences and organizations, reflecting his dedication to advancing sustainable agricultural practices. 🌟🎖

Publications 📚

Non-Destructive Detection of Pesticide-Treated Baby Leaf Lettuce During Production and Post-Harvest Storage Using Visible and Near-Infrared Spectroscopy

Effect of Salinity on the Growth and Biochemical Profile of Hedypnois cretica and Plantago coronopus Plants in Relation to the Cropping System and Growth Environment

Quality Traits and Nutritional Components of Cherry Tomato in Relation to the Harvesting Period, Storage Duration and Fruit Position in the Truss

The Impacts of the Emerging Climate Change on Broccoli (Brassica oleracea L. var. italica Plenck.) Crop

Nutritional composition changes in bell pepper as affected by the ripening stage of fruits at harvest or postharvest storage and assessed non-destructively

Improvement of the quality in hydroponically grown fresh aromatic herbs by inducing mild salinity stress is species-specific

Dr. Yang Kai | Railway Safety Awards | Best Researcher Award

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Dr. Yang Kai | Railway Safety Awards | Best Researcher Award 

Dr. Yang Kai, School of Physical Science and Technonoly, China

Kai Yang is an associate professor in the School of Physical Science and Technology at Southwest Jiaotong University, where he has been instrumental in advancing research in nondestructive detection, digital image processing, and signal processing. He earned his B.S. in 2003, M.S. in 2006, and Ph.D. in 2015, all from Southwest Jiaotong University. With extensive experience in railway safety inspection, Dr. Yang has authored over 50 papers and holds numerous patents, reflecting his significant contributions to the field. His work not only enhances the safety and efficiency of railway systems but also showcases his commitment to innovation in engineering and technology.

Professional Profile:

ORCID

Suitability Summary for Kai Yang 

Kai Yang is an exceptional candidate for the Best Researcher Award due to his extensive academic and research accomplishments in the field of nondestructive detection, digital image processing, and signal processing. Here are the key reasons supporting his nomination.

Education 🎓:

  • B.S. in Physical Science
    Southwest Jiaotong University, 2003
  • M.S. in Physical Science
    Southwest Jiaotong University, 2006
  • Ph.D. in Physical Science
    Southwest Jiaotong University, 2015

Work Experience 💼:

  • Associate Professor
    School of Physical Science and Technology, Southwest Jiaotong University (Current Position)

Research Interests 🔍:

  • Nondestructive Detection
  • Digital Image Processing
  • Signal Processing

Achievements 🏆:

  • Authored over 50 research papers in peer-reviewed journals
  • Holds multiple patents related to railway safety inspection and signal processing

Awards and Honors 🌟:

  • Recognized for contributions to railway safety inspection and advanced technologies in digital image and signal processing (specific awards to be listed if available).

Publication Top Notes:

A Robust End-to-End Speckle Stereo Matching Network for Industrial Scenes

A Registration Method Based on Ordered Point Clouds for Key Components of Trains

An End-to-End Point-Based Method and a New Dataset for Street-Level Point Cloud Change Detection

Ultrasonic Phased Array Sparse TFM Imaging Based on Virtual Source and Phase Coherent Weighting

Optimized Support Vector Machine Assisted BOTDA for Temperature Extraction With Accuracy Enhancement

Masoud DANESHTALAB | deep learning | Best Researcher Award

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Prof. Masoud DANESHTALAB | deep learning | Best Researcher Award 

Prof. Masoud DANESHTALAB, Mälardalen University, Sweden.

Masoud Daneshtalab, Ph.D., Docent, Full Professor
Masoud Daneshtalab is a globally recognized scholar and Full Professor at Mälardalen University (MDU), Sweden. With over two decades of academic and professional excellence, he has made significant contributions to computer science and engineering, specializing in dependable systems, AI, and hardware/software co-design. A prolific researcher with an H-index of 35 and over 5,100 citations, Dr. Daneshtalab is included in the prestigious World’s Top 2% Scientists Ranking. He serves as the Scientific Director of Fundamental AI at MDU and collaborates internationally, holding adjunct professorships and contributing to cutting-edge research initiatives.

Professional Profile:

Google Scholar

Suitability of Masoud Daneshtalab for the Best Researcher Award

Dr. Masoud Daneshtalab is a highly suitable candidate for the “Research for Best Researcher Award,” based on his exceptional academic achievements and professional contributions. Here are the key reasons

Education

🎓 Academic Journey

  • Docent (2018): Qualified in Computer Science and Electronics, Mälardalen University, Sweden.
  • Ph.D. (2008–2011): Information and Communication Technology, University of Turku, Finland. Dissertation: Adaptive Implementation of On-Chip Networks under Prof. Hannu Tenhunen.
  • M.Sc. (2004–2006): Computer Engineering, University of Tehran, Iran. Thesis: Low Power Methods in Network-on-Chips under Prof. Ali Afzali-Kusha.
  • B.Sc. (1998–2002): Computer Engineering, Shahid Bahonar University of Kerman, Iran.

Experience

💼 Professional Contributions

  • Scientific Director (2024–Present): Fundamental AI, Mälardalen University, Sweden.
  • Full Professor (2020–Present): Innovation, Design & Engineering, MDU.
  • Adjunct Professor (2019–Present): Computer Systems, Tallinn University of Technology, Estonia.
  • Previous Roles: Associate Professor at MDU (2016–2020), EU Marie Curie Fellow at KTH Royal Institute of Technology (2014–2016), Lecturer at the University of Turku (2011–2014), and Researcher at the University of Tehran (2006–2008).

Research Interests

🔬 Key Areas

  • Optimization and robustness in deep learning models.
  • HW/SW co-design and heterogeneous computing.
  • Dependable systems, memory architectures, and interconnection networks.
  • Cutting-edge projects include sustainable AI, federated learning, and reliable autonomous systems.

Awards

🏆 Recognitions

  • Best Paper Awards: IEEE ECBS (2019), IEEE MCSoC (2018), and multiple HiPEAC Paper Awards (2013–2017).
  • Research Grants: Marie Skłodowska-Curie Fellowship (2014), Nokia Foundation (2009), and others.
  • Top Reviewer: IEEE Transactions on Computers (2013).
  • Fellowships: GETA, Helsinki University of Technology (2008–2011).

Publications

A review on deep learning methods for ECG arrhythmia classification

CITIED: 490

Time-Sensitive Networking in automotive embedded systems: State of the art and research opportunities

CITIED: 147

Routing algorithms in networks-on-chip

CITIED: 136

Smart hill climbing for agile dynamic mapping in many-core systems

CITIED: 125

EDXY–A low cost congestion-aware routing algorithm for network-on-chips

CITIED: 124

Deep Maker: A multi-objective optimization framework for deep neural networks in embedded systems

CITIED: 122

 

Ms. Feng Wang | Renewable Energy Awards | Best Researcher Award

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Ms. Feng Wang | Renewable Energy Awards | Best Researcher Award 

Ms. Feng Wang, Guilin University of Electronic Technology, China

Wang Feng, is an associate professor and master’s tutor at Guilin University of Electronic Technology. She graduated from Beihang University with a Ph.D. in Engineering in 2018 and also holds a Master’s degree in Materials Physics and Chemistry from Guilin University of Electronic Technology and a Bachelor’s degree in Inorganic Non-Metallic Materials from Wuhan University of Science and Technology. Dr. Wang’s research focuses on high-performance lithium-ion and sodium-ion electrode materials, as well as non-metallic and metal coating interfaces. She has led several significant research projects funded by the National Natural Science Foundation of China, including studies on hydrogen absorption/desorption processes and phase equilibrium in hydrogen storage alloys. Dr. Wang has published numerous articles in prestigious journals, contributing to advancements in materials science and energy storage technologies. As a dedicated researcher and educator, she actively mentors graduate students in her field.

Professional Profile:

SCOPUS

Summary of Suitability

Wang Feng’s combination of strong academic credentials, extensive research experience, impactful publications, and leadership in research projects position her as an excellent candidate for the Research for Best Researcher Award. Her contributions to the field of materials science, particularly in energy storage and hydrogen storage technologies, are of paramount importance, making her an asset to both academia and industry.

🎓 Education Background

  • Ph.D. in Materials Physics and Chemistry
    Beihang University, 2014/09 – 2018/03
  • Master’s Degree in Materials Physics and Chemistry
    Guilin University of Electronic Science and Technology, 2011/09 – 2014/06
  • Bachelor’s Degree in Inorganic Non-Metallic Materials
    Wuhan University of Science and Technology, 2007/09 – 2011/06

💼 Work Experience

  • Associate Professor
    Guilin University of Electronic Science and Technology, 2022/04 – Present
  • Lecturer
    Guilin University of Electronic Science and Technology, 2018/12 – 2022/04

🏆 Achievements and Awards

  • Research Projects:
    • National Natural Science Foundation of China Youth Project:
      Research on the Synergistic Catalytic Hydrogen Absorption/Desorption Process and Related Mechanisms of ZrCo Alloy with Single/Bimetallic Ultra Thin Coatings
      Approval No. 51901054, Funding: ¥200,000, Hosted, January 2020 – December 2022.
    • National Natural Science Foundation of China Regional Science Foundation Project:
      Research on the Relationship between Phase Equilibrium, Microstructure, and Hydrogen Storage Performance of V-Ti based Hydrogen Storage Alloy
      Approval No. 52261003, Funding: ¥330,000, Participation, January 2023 – December 2026.
    • National Natural Science Foundation of China Regional Science Foundation Project:
      Design, Structural Modulation and Hydrogen Permeation Performance Research of V-Pd System Alloy
      Approval No. 51961010, Funding: ¥410,000, Participation, January 2020 – December 2023.

Publication Top Notes:

In situ catalytic formation of graphite-like carbon with superior potassium storage performance

2D-2D nanosheets for efficient zinc-ion batteries: Synthesis of interface-enriched MoS2 on VN hybrid nanosheets

Enhancement for hydrogen transport properties by tailoring lattice matching in V-Pd-Fe ternary alloy membrane

Strongly coupled C@MoSe2@OMWCNT heterostructure as an anode for sodium-ion batteries

Controllable Preparation and Sodium Storage Properties of Sb2Te3–Te Heterojunction

Prof. Jar-Ferr Yang | Machine Learning Awards | Best Researcher Award

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Prof. Jar-Ferr Yang | Machine Learning Awards | Best Researcher Award 

Prof. Jar-Ferr Yang, National Cheng Kung University, Taiwan

Jar-Ferr (Kevin) Yang, Ph.D., an IEEE Fellow, is a Distinguished Professor at the Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University in Tainan, Taiwan. He earned his Ph.D. in Electrical Engineering from the University of Minnesota in 1988 and has since held various academic and administrative positions, including Vice Dean of the Miin Wu School of Computing and Director of multiple research centers focused on ubiquitous computing and multimedia technologies. Dr. Yang has been recognized for his contributions to fast algorithms and efficient realization of video and audio coding, receiving numerous accolades such as the Best Presentation Award and Best Paper Awards at international conferences. He has also served on editorial boards for several prestigious journals and participated in numerous professional activities within the IEEE community. His extensive research and leadership in electrical engineering and computer science continue to impact both academia and industry.

Professional Profile:

SCOPUS

Suitability Summary for Jar-Ferr Ferr Kevin Yang for the Best Researcher Award

Dr. Jar-Ferr Ferr Kevin Yang has demonstrated significant contributions to the field of Electrical Engineering, particularly in the areas of computer and communication engineering. With a robust publication record of 269 documents and over 3,347 citations, his work has garnered substantial recognition within the academic community. His h-index of 27 indicates a solid impact in his field, reflecting both the quantity and quality of his research outputs.

📚 Education

  • 🎓 Ph.D. in Electrical Engineering (1988) – University of Minnesota, USA
  • 🎓 M.S. in Electrical Engineering (1979) – National Taiwan University, Taiwan
  • 🎓 B.S. in Electrical Engineering (1977) – Chung Yuan Christian University, Taiwan

💼 Employment and Related Experiences

  • 🏛️ Distinguished Professor (2004–Present) – Institute of Computer and Communication Engineering, National Cheng Kung University, Taiwan
  • 🏢 Vice Dean (2021–2023) – Miin Wu School of Computing, National Cheng Kung University, Taiwan
  • 🔬 Adjunct Research Fellow (2015–2020) – Office of Science and Technology, Executive Yuan, Taiwan
  • 📊 Director
    • TOUCH Center (2012–2019) – National Cheng Kung University
    • AR/VR and 3D Multimedia Cross-University Resource Center (2015–2017) – Ministry of Education, Taiwan
  • 📚 Chairperson (2005–2008) – Institute of Computer and Communication Engineering, National Cheng Kung University
  • 🌎 Visiting Scholar (2002) – University of Washington, USA
  • 🏢 Professor and Associate Professor (1988–2004) – Department of Electrical Engineering, National Cheng Kung University, Taiwan
  • 🛠️ Assistant Researcher (1981–1984) – Transmission Research Group, Chung-Hwa Telecommunication Research Laboratories, Taiwan

🏆 Awards and Honors

  • 🏅 IEEE Fellow (2007) – Contributions to fast algorithms and efficient realization of video and audio coding
  • 🏆 Best Paper Awards (Multiple Years: 2015, 2017, 2019) – Recognitions at International Conferences on 3D Systems and Applications
  • 🥇 Golden Medal (2015) – Kwoh-Ting Li Foundation of Science and Literature
  • 🎖️ Outstanding Electrical Engineering Professor Award (2010) – Chinese Institute of Electrical Engineering, Taiwan
  • 🌟 Excellent Research Awards (1998–2004) – National Science Council, Taiwan (Consecutive years)
  • 🏅 Best Industrial Cooperation Professor Award (2011, 2014) – National Cheng Kung University
  • 🏆 Best Presentation and Technical Awards (2020, 2016) – Recognitions for Intelligent Information Processing and Circuit Systems

Publication Top Notes:

CTDP Depacking with Guided Depth Upsampling Networks for Realization of Multiview 3D Video

Enhancing Fan Engagement in a 5G Stadium With AI-Based Technologies and Live Streaming

An image-guided network for depth edge enhancement

Improved vehicle detection systems with double-layer LSTM modules

Improved quadruple sparse census transform and adaptive multi-shape aggregation algorithms for precise stereo matching

Convolutional Layers Acceleration By Exploring Optimal Filter Structures

Prof. Dr. Chulhwan Park | Biosensor Awards | Best Researcher Award

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Prof. Dr. Chulhwan Park | Biosensor Awards | Best Researcher Award 

Prof. Dr. Chulhwan Park, Kwangwoon University, South Korea

Chulhwan Park is a Professor in the Department of Chemical Engineering at Kwangwoon University, Seoul, Republic of Korea. He earned his Ph.D. in Chemical Engineering from Korea University in 2003, focusing on the enhanced biodegradation of environmental pollutants. He completed his M.S. and B.S. at Kwangwoon University, specializing in biological wastewater treatment. Dr. Park has held various prestigious roles, including Director of Advanced Institute of Convergence Technology and President of KWU Industry-Academic Collaboration Foundation. His international experience includes positions as a Visiting Professor at UC Berkeley and a Postdoctoral Research Associate at the University of Cambridge. A prolific researcher, he has received numerous awards, such as the Cham-Bit Academic Award and the BBE Best Editor Award, recognizing his contributions to biotechnology, environmental engineering, and academia.

Professional Profile:

GOOGLE SCHOLAR

Suitability of Chulhwan Park for the Best Researcher Award

Professor Chulhwan Park demonstrates a stellar research and academic record in the field of Chemical Engineering, particularly in bioprocess engineering, biorefinery, biomass, and bioenergy. His contributions span groundbreaking research, impactful publications, and leadership roles in academia and industry collaborations.

🎓 Education

  • 📜 Ph.D. (Mar 1999 – Feb 2003)
    • Department: Chemical Engineering, Korea University, Seoul, Korea
    • Advisor: Seung Wook Kim
    • Thesis: Enhanced Biodegradation of 2,4,6-Trinitrotoluene by Pseudomonas putida
  • 📜 M.S. (Mar 1997 – Feb 1999)
    • Department: Chemical Engineering, Kwangwoon University, Seoul, Korea
    • Advisor: Jinwon Lee
    • Thesis: A Study on the Biological Wastewater Treatment Using Microbes Isolated from Wastewater
  • 📜 B.S. (Mar 1993 – Feb 1997)
    • Department: Chemical Engineering, Kwangwoon University, Seoul, Korea

💼 Work Experience

  • Professor, Department of Chemical Engineering, Kwangwoon University (Mar 2007 – Present)
    • Positions Held:
      • Professor (2015 – Present)
      • Associate Professor (2011 – 2015)
      • Assistant Professor (2007 – 2011)
    • Leadership Roles:
      • Head of Department (2011-2014, 2016-2018)
      • Director of Graduate School (2016-2018)
      • Dean of Student Affairs (2018-2020)
      • Director of KW Makerspace & Seoul Startup Didimteo (2021-2023)
      • President of KWU Industry-Academic Collaboration Foundation (2021-2023)
      • Current Director of Startup Package Business Institute and Advanced Institute of Convergence Technology
  • 🌐 Guest Faculty Scientist, Lawrence Berkeley National Laboratory & Visiting Professor, UC Berkeley (Jan 2015 – Feb 2016)
  • ⚙️ Senior Researcher, Environment Energy Division, Korea Institute of Industrial Technology (Jan 2005 – Feb 2007)
  • 📚 Postdoctoral Research Associate, Department of Chemical Engineering, University of Cambridge (Nov 2003 – Dec 2004)

🏆 Awards and Honors

  • 2021 🏅 Cham-Bit Academic Award (Best Research Award), Kwangwoon University
  • 2020 🏆 BBE Best Editor Award, Biotechnology and Bioprocess Engineering
  • 2020 🎖 Academic Promotion Award, The Korean Society for Biotechnology and Bioengineering
  • 2019 📜 Bumseok Paper Award, Korean Institute of Chemical Engineers
  • 2018 🏅 Education Certificate Award, Deputy Prime Minister & Minister of Education
  • 2014 🏆 Damyeon Academic Award, KSBB
  • 2013 🥇 Best Teacher Award, Kwangwoon University
  • 2012 🏅 Minister Award (Lab Safety), Ministry of Education, Science, and Technology
  • 2009 🏵 Best Poster Presentation, KS Toxicogenomics and Toxicoproteomics
  • 2005 🎖 Best Poster Presentation, Membrane Society of Korea

Publication Top Notes:

Effects of various pretreatments for enhanced anaerobic digestion with waste activated sludge

CITED:1050

Comparison of disperse and reactive dye removals by chemical coagulation and Fenton oxidation

CITED:557

Decolorization of disperse and reactive dyes by continuous electrocoagulation process

CITED:408

Water recycling from desalination and purification process of reactive dye manufacturing industry by combined membrane filtration

CITED:293

Biodegradation and biosorption for decolorization of synthetic dyes by Funalia trogii

CITED:276

 

Dr. Khadija Shoukat | Digital Health Awards | Best Researcher Award

Posted on by ScienceFather

Dr. Khadija Shoukat | Digital Health Awards | Best Researcher Award 

Dr. Khadija Shoukat, Wuhan University of Technology, China

Khadija Shoukat is a dedicated healthcare professional and business administration student, currently pursuing her MBA at Wuhan University of Technology, China (2022–2025). She holds a Doctor of Pharmacy degree from Riphah International University, Pakistan, where she graduated in 2022. Her academic journey began at Punjab College in Rahim Yar Khan, where she completed her Intermediate studies in Pre-Medical (2017) and Matriculation in Science (2016). With a passion for serving humanity and contributing to societal betterment, Khadija combines her expertise in healthcare supply chain management with strong communication skills to convey complex information effectively. Her long-term goal is to support institutions and organizations in creating a positive impact on global healthcare systems.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Khadija Shoukat

Khadija Shoukat has made noteworthy contributions to innovative fields such as blockchain-based e-healthcare management, human-machine interaction for Industry 5.0, and the intersection of artificial intelligence and digital art. Her co-authored works, including “Blockchain Factors in the Design of Smart-Media for E-Healthcare Management” and “A Human–Machine Interaction Mechanism: Additive Manufacturing for Industry 5.0,” reflect her active engagement in impactful and emerging research areas. These works highlight her ability to address real-world challenges through advanced technologies.

Education 🎓

  • MBA (Master’s Degree)
    Wuhan University of Technology, China.
  • Doctor of Pharmacy (Bachelor’s Degree)
    Riphah International University, Pakistan.
  • Intermediate (Pre-Medical)
    Punjab College Rahim Yar Khan, Pakistan.
  • Matriculation (Science)
    Punjab College Rahim Yar Khan, Pakistan.

Work Experience 💼

  • Business Administrative Roles
    Hands-on experience in healthcare supply chain management, effectively contributing to institutional and organizational operations.

Achievements & Awards 🏆

  • Recognized for Outstanding Academic Performance during undergraduate studies.
  • Received Best Presentation Award in pharmacy seminars.
  • Actively contributed to community service initiatives, promoting healthcare awareness.
  • Acknowledged for Leadership and Teamwork Skills in university projects.

Publication Top Notes:

Blockchain Factors in the Design of Smart-Media for E-Healthcare Management

A Human–Machine Interaction Mechanism: Additive Manufacturing for Industry 5.0—Design and Management

Examining the impacts of artificial intelligence technology and computing on digital art: a case study of Edmond de Belamy and its aesthetic values and techniques