Prof. Dr. Byeongkeun Choi | Rotating Machinery Awards | Best Researcher Award

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Prof. Dr. Byeongkeun Choi | Rotating Machinery Awards | Best Researcher Award

Prof. Dr. Byeongkeun Choi, Gyeong sang national university, South Korea

Dr. Byeong-Keun Choi is a seasoned professor in the Department of Energy and Mechanical Engineering at Gyeongsang National University, Korea. He earned his Ph.D. (1999), M.S. (1993), and B.S. (1991) in Mechanical Engineering from Pukyong National University, Korea, establishing a robust foundation in vibration analysis and machine dynamics. Since 2002, Dr. Choi has contributed significantly to academia and industry, conducting research in mechanical engineering and collaborating on numerous industry-focused projects. His research spans vibration analysis, rotor dynamics, and machine fault diagnosis, working alongside prominent organizations such as LG Electronics, NASA Langley Research Center, and Korea Aerospace Industries. Dr. Choi also served as a Visiting Professor at Arizona State University from 2009 to 2012 and held previous academic roles as a Post-Doctoral Research Associate and Lecturer at the same institution. His contributions to the field include developing advanced diagnostic systems and optimizing rotating machinery, with an emphasis on sustainable, high-efficiency designs for the energy and aerospace industries.

Professional Profile:

SCOPUS

Summary of Suitability

Dr. Choi’s longstanding commitment to high-impact research, international collaboration, and integration of emerging technologies like machine learning in mechanical engineering make him a strong candidate for the Best Researcher Award. His career exemplifies the qualities the award seeks to recognize: innovation, industry impact, and scholarly contribution. His research has demonstrated both depth and versatility, marking him as a distinguished figure in energy and mechanical engineering.

🎓 Education

  • Ph.D. in Mechanical Engineering, Pukyong National University, Korea (1999)
  • M.S. in Mechanical Engineering, Pukyong National University, Korea (1993)
  • B.S. in Mechanical Engineering, Pukyong National University, Korea (1991)

💼 Work Experience

  • Professor (2002 – Present)
    Gyeongsang National University, Korea
  • Visiting Professor (2009 – 2012)
    Arizona State University, USA
  • Post-Doc Research Associate & Academic Professional (1999 – 2002)
    Arizona State University, USA

🛠️ Research Projects & Expertise

Dr. Choi has collaborated on numerous innovative projects with industry giants like LG Electronics, Korea Heavy Industry, Hyundai, NASA, and the Korean Ministry of Science and Technology. His work spans vibration diagnostics, fault detection, energy efficiency in pumps, and advanced diagnostic systems. His most impactful projects include:

  • Vibration Reduction and Diagnosis Systems 🌀
  • Advanced Rotor Dynamics & Fault Detection Algorithms ⚙️
  • High-Pressure LNG Pump Design 🔋
  • Intelligent Digital Governor & Actuator Development 🔧
  • Hydrogen Compressor Technology 🌱

Publication top Notes:

A Study on Machine Learning-Based Feature Classification for the Early Diagnosis of Blade Rubbing

CNN-based fault classification using combination image of feature vectors in rotor systems

Development of features for blade rubbing defect classification in machine learning

CNN-based fault classification considered fault location of vibration signals

Novelty class detection in machine learning-based condition diagnosis

Functionalized carbon nanotube–cellulose nanocrystal (CNT–CNC) composite buckypaper via various methods for improved hydrophilicity performance and behavior

Mr. Rashid Al-Shibli | Monitoring Awards | Best Researcher Award

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Mr. Rashid Al-Shibli | Monitoring Awards | Best Researcher Award

Mr. Rashid Al-Shibli, Sultan Qaboos University, Oman

Rashid Salim Al-Shibli is a dedicated and ambitious 5th-year medical student at Sultan Qaboos University in Muscat, Oman. With a strong commitment to enhancing health outcomes and quality of life, he is passionate about advancing his knowledge and expertise in neurology and neurosurgery, focusing on understanding and treating complex neurological disorders. Rashid’s academic excellence has been recognized through multiple Dean’s List distinctions, and he has contributed to the medical field with several research publications on topics such as multiple sclerosis relapses and pediatric neurology. His work earned him First Place in a poster presentation at the Third Neurology Conference in Salalah, Oman, in 2023.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Rashid Salim Al-Shibli

Rashid Salim Al-Shibli, a 5th-year clinical medical student at Sultan Qaboos University, is an exemplary candidate for the Best Researcher Award. His profile reflects a strong commitment to both academic excellence and cutting-edge medical research, particularly in neurosurgery and neurology. Rashid has consistently demonstrated high academic achievement, being on the Dean’s List for four consecutive years (2020-2023), and has been involved in significant publications and presentations within the medical field.

🎓 Education

  • Dean’s List 🎖️: 2020, 2021, 2022, 2023

🏆 Awards

  • First Place in Poster Presentation 🥇: Third Neurology Conference, Salalah, Oman, 2023

📄 Publications

  • ScienceDirect: Seasonal Variation of Multiple Sclerosis Relapses in Oman (18 Dec, 2023)
  • Current Medicinal Chemistry: Association of MiRNA and Bone Tumors: Future Therapeutic Inroads (30 Jan, 2024)
  • Journal of Pediatric Neurosciences: The “Weekend Effect” and “Off-Hours Effect” in Pediatric TBIL (07 May, 2024)

📜 Courses

  • Basic Life Support (2023)
  • Data Analysis (SPSS) (2022-2023)
  • COVID-19 Infection Control (2020)

🎙️ Attendance & Conferences

  • Presenter, Oman Medical Specialty Board Career Day 2024 🩺
  • Oral Presentation at Sultan Qaboos University Hospital Research Day 2024 🏥
  • Attendee, Pediatric Metabolic Bone Disease Symposium (2024)
  • Poster Presentation at Third Oman Neurology Conference (2023) 🧾
  • Attendee, Multiple Sclerosis Virtual Conference, Saudi Arabia (2022)
  • Attendee, IFMSA Event on Poverty Impact on Child Health (2020)

💼 Training & Internships

  • Marketing & E-Commerce Workshop 💻: College of Engineering, Sultan Qaboos University (2023)
  • Summer Internship 🏥: Al Hajir Health Centre, Muscat, Oman (2022)

🔧 Skills

  • Data Collection & Analysis 📊
  • Academic Writing ✍️
  • Critical Thinking and Problem-Solving 🧩
  • Effective Communication & Teamwork 🤝

Publication top Notes:

Seasonal Variations in Multiple Sclerosis Relapses in Oman: A Single Tertiary Centre Experience

Association of MiRNA and Bone Tumors: Future Therapeutic Inroads

Dr. Bahar Aydın Can | Security Awards | Women Researcher Award

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Dr. Bahar Aydın Can | Security Awards | Women Researcher Award 

Dr. Bahar Aydın Can, Izmit Vocational School, Turkey

Bahar Aydın Can is a Lecturer at Kocaeli University, located in Izmit, Turkey, where she has been teaching since 2005. She holds a Doctoral Degree in the socio-economic impacts of the Kocaeli-Kandıra Food Specialization Organized Industrial Zone, which she completed in 2018 under the supervision of Dr. Sait Engindeniz. Her academic journey also includes a Master’s Degree in the production and marketing of mandarins, completed in 2004, and a Bachelor’s Degree in 1998. Throughout her career, Bahar has contributed to several scientific research projects, focusing on agricultural economics, livestock support, milk marketing efficiency, and environmental impact in the agricultural-food sector. In addition to her teaching role, she has held several administrative positions, including Co-head of the Department of Plant and Animal Production and Vice Director at Kocaeli University’s Arslanbey Vocational School. Bahar is also a dedicated project leader and thesis advisor, mentoring students and researchers in fields related to agriculture and sustainability. Her academic work, along with her leadership in various projects, has made her a prominent figure in agricultural research in Turkey.

Professional Profile:

SCOPUS

Suitability of Bahar Aydın Can for the Research for Women Researcher Award

Bahar Aydın Can is highly suitable for the Research for Women Researcher Award based on her extensive academic background, research involvement, leadership roles, and contributions to the fields of agricultural economics and sustainable agriculture.

Education:

  1. Doctoral Degree (March 26, 2018)
    • Thesis: A Study on the Socio-economic Impacts of the Kocaeli-Kandıra Food Specialization Organized Industrial Zone
    • Thesis Advisor: Dr. Sait Engindeniz
  2. Master’s Degree (June 14, 2004)
    • Thesis: A Study on Mandarin Production and Marketing in Selected Enterprises in Seferihisar District, Izmir
    • Thesis Advisor: Murad Yercan
  3. Bachelor’s Degree (June 15, 1998)

 Professional Experience:

  • Lecturer at Kocaeli University, Izmit Vocational School, Department of Plant and Animal Production, Medical and Aromatic Plants Program (since June 10, 2005)

Positions in Projects:

  1. Cooperative Partner Analysis of Utilization of Livestock Support and Milk Marketing Efficiency in Dairy Cattle Enterprises
    • Researcher: Bahar Aydın Can
    • Collaborators: Sait Engindeniz, Onur Can
    • Project Duration: March 7, 2021 – April 10, 2023
    • Supported by: Higher Education Institutions
  2. Environmental Emission Level Determinants of Firms in the Agricultural-Food Sector
    • Researcher: Bahar Aydın Can
    • Collaborators: İlhan Çam, Ümmühan Mutlu
    • Project Duration: December 8, 2024 – In Progress
    • Supported by: Higher Education Institutions
  3. Determining the Harvest Maturity and Storage Properties of Miski Pepino Solanum muricatum Ait Cultivar Grown in Kocaeli Conditions
    • Researcher: Rezzan Kasım
    • Collaborators: Mehmet Ufuk Kasım, Bahar Aydın Can, Mehmet Ünlü, Cengiz Ay
    • Project Duration: January 1, 2006 – January 1, 2008
    • Supported by: Higher Education Institutions

Administrative Positions:

  1. Co-head of Department at Kocaeli University, Izmit Vocational School, Department of Plant and Animal Production (2021 – present)
  2. Co-head of Department at Kocaeli University, Arslanbey Vocational School, Marketing and Advertising Department (2013-2015)
  3. Vice Director at Kocaeli University, Arslanbey Vocational School (2015-2019)
  4. Co-head of Department at Kocaeli University, Arslanbey Vocational School, Marketing and Advertising Department (2005-2013)

Publication top Notes:

Turkish Consumers’ Perceptions of Organic Milk and the Factors Affecting Consumption: The Case of Kocaeli, Türkiye

A research on the opinions and suggestions of the youth who study agriculture in turkey on the young farmer grant project

Determining the opinions and expectations of the local farmers about the potential impacts of kocaeli kandira food specialized organized industrial zone, Turkey

A research on the characteristics and activities of producers in organic markets: A case study of Izmit and Sişli district

The Effect of Bat Guano Applied to the Soil in Different Forms and Doses on Some Plant Nutrient Contents

Prof. Dr. Francesco Mainardi | Analytical Awards | Best Researcher Award

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Prof. Dr. Francesco Mainardi | Analytical Awards | Best Researcher Award 

Prof. Dr. Francesco Mainardi, University of Bologna, Italy

Francesco Mainardi is a retired Professor of Mathematical Physics at the University of Bologna, Italy, with a distinguished academic career spanning several decades.he holds a Master’s degree in Theoretical Physics from the University of Bologna and has been an active researcher in the fields of applied mathematics, fractional calculus, continuum mechanics, and wave propagation. Mainardi has contributed significantly to the study of linear viscoelasticity, special functions, and stochastic processes, publishing over 200 papers in renowned international journals. He is also the author of several influential books, including Fractional Calculus and Waves in Linear Viscoelasticity (2022). Throughout his career, he has been involved in multiple scientific collaborations worldwide and has served on the editorial boards of prominent journals. Mainardi’s work has had a substantial impact on the development of mathematical physics, with numerous citations and recognition in the academic community. He has organized international conferences and advanced schools, furthering research in wave propagation and fractional calculus. He remains an active member of several professional associations and continues to contribute to the scientific community through his publications and collaborations.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award for Francesco Mainardi

Francesco Mainardi, a retired professor of Mathematical Physics at the University of Bologna, has a distinguished career spanning several decades. His academic journey began with a Master’s degree in Theoretical Physics in 1966, followed by a Diploma in Advanced School in Physics in 1971, both from the University of Bologna. Despite the lack of a formal Ph.D. program at that time in Italy, he achieved remarkable academic milestones and has since held key academic positions, including Associate Professor and Full Professor in Mathematical Physics, until his retirement in 2013. He continued contributing as a Contract Professor until 2018.

Educational Background 🎓

  • Master’s Degree in Theoretical Physics, University of Bologna (1966)
  • Diploma in Advanced School in Physics, University of Bologna (1971) (Note: PhD was not available in Italy at that time)

Academic Positions 🏫

  • Lecturer of Rational Mechanics, University of Ancona (1971-73)
  • Assistant Professor of Mathematical Physics, University of Bologna (1973-1982)
  • Associate Professor of Mathematical Physics, University of Bologna (1983-2013)
  • Full Professor of Mathematical Physics, University of Bologna (2012, Italian Eligibility)
  • Retired Professor, University of Bologna (since 1 Nov 2013)
  • Contract Professor, University of Bologna (2013-2018)

Associations & Memberships 🌐

  • National Group of Mathematical Physics (GNFM-INdAM)
  • National Institute of Nuclear Physics (INFN), Bologna Section
  • Italian Society of Physics (SIF)
  • Italian Union of Mathematics (UMI)
  • Italian Society of Industrial and Applied Mathematics (SIMAI)
  • Society of Industrial and Applied Mathematics (SIAM)
  • Group of Orthogonal Polynomials and Special Functions (OPSF)

Research Interests 🔬

  • Asymptotic methods in applied mathematics
  • Special functions and fractional calculus
  • Continuum mechanics (solids and fluids), especially linear viscoelasticity
  • Mathematical aspects of wave propagation and diffusion
  • Stochastic models in statistical physics

Publication top Notes:

A Comparative View of Becker, Lomnitz, and Lambert Linear Viscoelastic Models

Some Fractional Integral and Derivative Formulas Revisited

Calculation of the Relaxation Modulus in the Andrade Model by Using the Laplace Transform

A Note on the Lambert W Function: Bernstein and Stieltjes Properties for a Creep Model in Linear Viscoelasticity

Differentiation of the Wright Functions with Respect to Parameters and Other Results

Dr. Rui Yang | Sensor protection Awards | Best Researcher Award

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Dr. Rui Yang | Sensor protection Awards | Best Researcher Award

Dr. Rui Yang, Guilin University of Electronic Technology, China

Rui Yang, Ph.D., is currently a doctoral candidate at the School of Computer and Information Security at Guilin University of Electronic Science and Technology, where he is specializing in deepfake detection. He obtained his Master’s degree from the same university, focusing on small-scale face detection in complex backgrounds. His research interests lie at the intersection of computer vision, machine learning, and multimedia security. Rui has contributed significantly to the field through several publications in prestigious journals, including IEEE Signal Processing Letters and ACM Transactions on Multimedia Computing, Communications, and Applications. His recent works explore advanced techniques in deepfake video detection, image captioning, and unsupervised models. Additionally, he has co-authored papers presented at international conferences, further demonstrating his expertise in applying artificial intelligence to multimedia security. Rui’s innovative contributions aim to enhance the detection and understanding of manipulated digital media.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award:

Rui Yang, a Ph.D. candidate at Guilin University of Electronic Science and Technology, is a promising and accomplished researcher specializing in deepfake detection, with an impressive academic background and significant contributions to the field. His research focuses on cutting-edge techniques in deepfake detection, image captioning, and small-scale face detection, making him highly qualified for the Best Researcher Award.

🎓 Education

  • 2021 – 2024: Ph.D., Guilin University of Electronic Science and Technology, School of Computer and Information Security
    Research direction: Deepfake detection
  • 2018 – 2021: M.E., Guilin University of Electronic Science and Technology, School of Computer and Information Security
    Thesis title: Small-scale Face Detection in Complex Backgrounds
  • 2014 – 2018: B.E., Yibin College, Computer Science and Technology
    Thesis title: Restoration of Gaussian Blurred Images

💼 Work Experience

  • Guilin University of Electronic Science and Technology
    Position: Ph.D. Student and Researcher in Computer and Information Security (Deepfake detection research)
CITED:13
CITED:13
CITED:7
CITED:4

Prof. Xiongwen Zhao | Power Network Awards | Best Researcher Award

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Prof. Xiongwen Zhao | Power Network Awards | Best Researcher Award

Prof. Xiongwen Zhao, North China Electric Power University, china

Xiongwen Zhao is a distinguished professor and Chair of Information and Communications Engineering at North China Electric Power University, Beijing, China. With a Ph.D. degree (Hons.) from Helsinki University of Technology (TKK), Espoo, Finland, earned in 2002, Dr. Zhao has had an impactful career spanning both industry and academia. His early work included roles at the China Research Institute of Radiowave Propagation as a Senior Engineer and Director and later as a Senior Researcher and Project Manager at TKK’s Radio Laboratory, where he specialized in multiple input multiple output (MIMO) wireless communications. His expertise further developed through senior specialist roles at Elektrobit Corporation, where he contributed to the European Wireless World Initiative New Radio (WINNER) Project and advanced 4G MIMO channel models. Dr. Zhao has extensive experience with wireless technologies, including WiMAX, wireless mesh networks, and mobile satellite communications.

Professional Profile:

ORCID

Suitability of Xiongwen Zhao for the Best Researcher Award

Dr. Xiongwen Zhao, currently a full Professor at North China Electric Power University, has an impressive academic and professional track record. His extensive experience in wireless communications and next-generation network technologies such as 5G, 6G, and RIS (Reconfigurable Intelligent Surface) in space-air-ground networks underscores his influence in the field. He has a remarkable number of publications (over 310), with 110 of these indexed by SCI and six recognized as highly cited papers in global research databases, establishing him as a top-tier researcher. His recent contributions to C-NOMA-enabled space-air-ground networks, energy-efficient resource allocation for industrial IoT networks, and intelligent reflecting surfaces in high-mobility systems align with cutting-edge research areas, further enhancing his profile.

Education:

  • Ph.D. (Honors), Helsinki University of Technology (TKK), Espoo, Finland, 2002.

Work Experience:

  • Director and Senior Engineer (1992–1998)
    Laboratory of Communications System Engineering, China Research Institute of Radiowave Propagation, Xinxiang, China.
  • Senior Researcher and Project Manager (1999–2004)
    Radio Laboratory, Helsinki University of Technology (TKK), Espoo, Finland.

    • Specialized in multiple input multiple-output (MIMO) wireless communications.
  • Senior Specialist (2004–2011)
    EB Wireless Solutions, Elektrobit Corporation, Espoo, Finland.

    • Engaged in the European Wireless World Initiative New Radio (WINNER) Project as a Senior Researcher for 4G MIMO channel models (2004–2007).
    • Worked on WiMAX and wireless mesh networks (2006–2008).
    • Focused on mobile satellite communications for GEO Mobile Radio Interface (GMR)-1 3G, Digital Video Broadcasting-Satellite Handhelds (DVB-SH), and antenna performance evaluations (2008–2009).
  • Full Professor and Chair Professor of Information and Communications Engineering
    North China Electric Power University, Beijing, China (Current).

    • Leads projects funded by the National Science Foundation of China (NSFC) and Chinese industries, focusing on 5G and 6G research, particularly in RIS and space-air-ground communications.

Additional Roles and Honors:

  • Over 310 publications, with 110 SCI-indexed articles and 6 highly cited papers by ESI and Scopus.
  • Senior Member of IEEE, Fellow of the Chinese Institute of Electronics (CIE), and Fellow of the China Institute of Communications.
  • Recipient of multiple awards, including the IEEE Vehicular Technology Society Neal Shepherd memorial best propagation paper award (2014), IEEE ISAPE Best Paper Awards (2018, 2021), and IEEE IWCMC Best Paper Award (2019).
  • Serves as an Associate Editor for IEEE Antennas and Wireless Propagation Letters and IET Communications. Also an Area Editor for the Chinese Journal of Radio Science, and a Leading/Guest Editor for several SCI journals.

Publication top Notes:

Collaborative Edge Computing and Program Caching With Routing Plan in C-NOMA-Enabled Space-Air-Ground Network

Energy-Efficient Resource Allocation for Space–Air–Ground Integrated Industrial Power Internet of Things Network

Energy-Minimization Resource Allocation for FD-NOMA Enabled Integrated Sensing, Communication, and Computation in PIoT

Intelligent Reflecting Surface Assisted High-Mobile Edge Computing System: Joint Optimization of Computation and Communication

MADRL-Based URLLC-Aware Task Offloading for Air-Ground Vehicular Cooperative Computing Network

Optimal Resource Allocation for AGIN 6G: A Learning-Based Three-Sided Matching Approach

Assoc. Prof. Dr Ali Hassan Sodhro | Intelligent Sensors Award | Best Researcher Award

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Assoc. Prof. Dr Ali Hassan Sodhro | Intelligent Sensors Award | Best Researcher Award 

Assoc. Prof. Dr Ali Hassan Sodhro, Kristianstad University, SE-29188 Kristianstad, Sweden, Sweden

Ali Hassan Sodhro is an accomplished researcher with dual Swedish and Pakistani nationality, specializing in energy-efficient and battery-friendly algorithms for wireless body sensor networks, wireless sensor networks, physical layer authentication in IoT-5G, wearable devices, and smart healthcare applications. Currently a Senior Lecturer at Kristianstad University in Sweden, Ali has also served as a Postdoctoral Research Fellow in institutions across Sweden, France, and China, including Luleå University of Technology, Linköping University, and the University Lumiere Lyon 2. His research extends to cybersecurity, network security, cryptography, and domains such as AI, machine learning, and big data analytics. Holding a Ph.D. from the University of Chinese Academy of Sciences (UCAS), Ali has supervised numerous bachelor’s and master’s theses and co-supervised Ph.D. students, contributing substantially to both academic research and grant proposals. His teaching experience spans Swedish institutions like Mid Sweden University and Gothenburg University, alongside earlier academic roles at Sukkur IBA University in Pakistan. Ali is actively involved in conferences, workshop organization, and launching special journal issues, with his work published across multiple prestigious platforms.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award:

Ali Hassan Sodhro is a distinguished researcher with significant contributions to the fields of energy-efficient algorithms for wireless sensor networks, smart healthcare applications, and IoT-driven technologies, particularly within the domain of body sensor networks and wearable devices. With a strong interdisciplinary focus that spans AI, IoT, and cloud computing, his work aligns with many of the emerging challenges in technology and healthcare, areas critical for modern innovations and societal impact.

🎓 Education:

  • Ph.D. in Computer Applications Technology (2016)
    University: Chinese Academy of Sciences, China 🇨🇳
    Thesis: Energy-efficient Communication in Wireless Body Sensor Networks
  • M.Engg in Communication Systems and Networks (2010)
    University: Mehran University of Engineering and Technology, Pakistan 🇵🇰
    Thesis: Security Issue/Authentication and Simulation of LEAP in WSN
  • B.Engg in Telecommunication Engineering (2008)
    University: Mehran University of Engineering and Technology, Pakistan 🇵🇰
    Thesis: Wireless Sensor Networks, Simulation of Ad-Hoc Routing Protocols

💼 Professional Experience:

  • Senior Lecturer at Kristianstad University, Sweden 🇸🇪 (2021–Present)
    Teaching, research, and supervision of student projects; actively engaged in scientific publishing and grant proposal writing.
  • Postdoctoral Fellow at Luleå University of Technology, Sweden 🇸🇪 (2020)
    Contributed to supervision, teaching, and coordination of special journal issues and conferences.
  • Assistant Professor at Sukkur IBA University, Pakistan 🇵🇰 (2016–2017)
    Supervised students, taught courses, and organized academic events.

🧠 Research Focus:

Ali Hassan Sodhro is a highly skilled researcher in Energy-efficient & Battery-friendly Algorithms ⚡ for Wireless Body Sensor Networks 💡, Wearable Devices ⌚, and IoT-5G 🔗. His expertise spans AI/ML 🤖, Cybersecurity 🔒, Network Security 🛡️, Big Data Analytics 📊, and Multimedia Transmission 🎥, with an emphasis on Smart Healthcare 🏥 and Physical Layer Authentication in IoT networks.

Publication top Notes:

Artificial intelligence-driven mechanism for edge computing-based industrial applications

CITED:326

A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks

CITED:297

Mobile edge computing based QoS optimization in medical healthcare applications

CITED:208

Towards an optimal resource management for IoT based Green and sustainable smart cities

CITED:197

Quality of service optimization in an IoT-driven intelligent transportation system

CITED:173

Dr. Ramin Zohrabi | Photovoltaic Awards | Best Researcher Award

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Dr. Ramin Zohrabi | Photovoltaic Awards | Best Researcher Award 

Dr. Ramin Zohrabi, University of Tabriz, Iran

Dr. Ramin Zohrabi is an Iranian physicist specializing in Optics and Laser Physics. He holds a Ph.D. in Optics and Laser Physics from the University of Tabriz, where he conducted research on enhancing the efficiency of Luminescent Solar Concentrators (LSCs). His thesis was supervised by Prof. Abdolrahman Namdar and Sohrab Ahmadi-Kandjani, achieving a perfect GPA of 4.0/4.0. Dr. Zohrabi also earned his M.Sc. in the same field from the University of Tabriz, with a thesis on the transmission properties of one-dimensional photonic crystals, and his B.Sc. in Atomic Physics from Urmia University, Iran. He has experience as a teaching assistant at the University of Tabriz, where he assisted in physics and MATLAB simulation labs. Fluent in Persian, Turkish, and English, Dr. Zohrabi has contributed to the academic community through his teaching and research in the field of optics and laser physics.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award – Ramin Zohrabi

Ramin Zohrabi is an excellent candidate for the Best Researcher Award based on his advanced academic background, cutting-edge research in Optics and Laser Physics, and his contributions to enhancing the efficiency of Luminescent Solar Concentrators (LSCs). His work in photonics has significant implications for renewable energy applications, particularly in improving the efficiency of solar energy harvesting technologies.

Education:

  1. Ph.D. in Optics and Laser Physics
    • Institution: University of Tabriz, Tabriz, Iran
    • Duration: 2017–2023
    • Thesis: “The study of the efficiency enhancement of Luminescent Solar Concentrators (LSCs)”
    • GPA: 4/4
    • Supervisors: Prof. Abdolrahman Namdar & Sohrab Ahmadi-Kandjani
  2. M.Sc. in Optics and Laser Physics
    • Institution: University of Tabriz, Tabriz, Iran
    • Duration: 2012–2015
    • Thesis: “Investigation of the transmission properties of a one-dimensional Photonic crystal with graded thickness layers”
    • GPA: 3.37/4
    • Supervisors: Prof. Samad Roshan Entezar & Prof. Abdolrahman Namdar
  3. B.Sc. in Atomic Physics
    • Institution: Urmia University, Urmia, Iran
    • Duration: 2004–2006
    • Thesis: “Study of Laser beam amplification, frequency change, and wavefront correction”
    • GPA: 2.4/4
    • Supervisor: Prof. Arash Sabatyan

Work Experience:

  1. Teaching Assistant
    • Course: Laboratory of Basic Physics (Mechanics, Heat, and Electromagnetism)
    • Institution: University of Tabriz, Faculty of Physics, Tabriz, Iran
    • Duration: 2020–2021 (1 semester)
  2. Teaching Assistant
    • Course: MATLAB Software Simulation
    • Institution: University of Tabriz, Faculty of Physics, Tabriz, Iran
    • Duration: 2015–2016 (1 semester)
CITED:6
CITED:3

Dr. Zhimao Lai | Motion Detection Awards | Best Researcher Award

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Dr. Zhimao Lai | Motion Detection Awards | Best Researcher Award 

Dr. Zhimao Lai, China People’s Police University, China

Zhimao Lai is a distinguished researcher in the field of human action recognition, specializing in the integration of facial action cues for enhancing recognition models. He holds academic and professional affiliations with several prestigious institutions in China, including Guangdong University of Technology, South China University of Technology, and Sun Yat-sen University. Lai’s research interests are primarily focused on the intersection of computer science, engineering, machine learning, and human behavior analysis.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Zhimao Lai

Zhimao Lai is a highly suitable candidate for the Best Researcher Award due to his significant contributions to the field of human action recognition and his ongoing work in advancing technologies related to facial action cues. His academic background and professional affiliations with prestigious institutions, such as Guangdong University of Technology, South China University of Technology, and Sun Yat-sen University, highlight his deep engagement with cutting-edge research in computer science and engineering.

Education:

Zhimao Lai has received advanced education in computer science and engineering, focusing on human action recognition and facial action cues. His academic background includes studying at top-tier universities in China:

  1. Guangdong University of Technology – Likely completed undergraduate or early graduate studies in a related field, building the foundation for his research in human-computer interaction, machine learning, and computer vision.
  2. South China University of Technology – Further advanced his education and research interests, likely working on technologies related to facial recognition, human behavior analysis, and action recognition.
  3. Sun Yat-sen University – As part of his ongoing academic and research journey, this institution further shaped his expertise in human action recognition, as seen in his contributions to relevant publications.

Work Experience:

Zhimao Lai has worked within several prestigious institutions, collaborating with notable researchers and contributing to cutting-edge research in his field:

  1. Guangdong University of Technology – He has been affiliated with this institution, likely contributing to research in human action recognition, computer vision, and facial recognition systems.
  2. South China University of Technology – Here, Lai likely expanded his research into interdisciplinary fields such as machine learning, AI, and behavior analysis, potentially working on collaborative projects in these areas.
  3. Sun Yat-sen University – Currently working or involved in advanced research at this esteemed university, focusing on human action recognition using facial action cues and related technologies.

Publication top Notes:

 

A Two-Stream Method for Human Action Recognition Using Facial Action Cues

Assist. Prof. Dr. Samar Jallad | Simulation Awards | Best Researcher Award

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Assist. Prof. Dr. Samar Jallad | Simulation Awards | Best Researcher Award 

Assist. Prof. Dr. Samar Jallad, Al-Quds University, Palestine.

Dr. Samar Thabet Ibrahim Jallad is an Assistant Professor in the Nursing Department at AL-Quds University in Jerusalem, Palestine, where she also serves as the coordinator for the university’s nursing simulation center. She holds a Ph.D. in Nursing Education with a focus on Virtual Reality Simulation (VRS) as a learning strategy to enhance nursing skills and critical thinking. Dr. Jallad has a Master’s degree in Nursing Management, which aids in her leadership roles, including coordinating courses in leadership and management for nursing students. She has extensive experience in nursing education, having taught at several institutions, including Cyprus International University and Modern University College in Palestine. Dr. Jallad’s research interests include developing innovative learning strategies for nursing education and improving nursing curricula. Additionally, she is involved in international accreditation for nursing programs at AL-Quds University and is an active member of the Scientific Society of Arab Nursing Faculties. Her expertise also extends to areas such as health informatics, epidemiology, and health promotion. Dr. Jallad has worked in various roles, from nursing staff to department head, contributing to the development and management of nursing programs in Palestine.

Professional Profile:

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Summary of Suitability for Best Researcher Award – Assist. Prof. Samar Thabet Jallad

Assist. Prof. Samar Thabet Jallad, a distinguished researcher in the field of nursing education, stands as a strong candidate for the Best Researcher Award due to her significant contributions to nursing education, particularly in the integration of virtual reality (VR) as a learning strategy. With a Ph.D. in Nursing Education from Near East University and a Master’s degree in Nursing Management from AL-Quds University, her work focuses on enhancing nursing curricula and teaching strategies to foster critical thinking and problem-solving skills.

Education:

  • Ph.D. in Nursing Education
    Near East University, Nicosia, Cyprus (27/09/2017 – 16/08/2021)
    Thesis: The Effectiveness of Virtual Reality Simulation as a Learning Strategy on Acquisition of Ventrogluteal Injection Skill and Anxiety Level
    Advisor: Yrd. Doç. Dr. Burçin Işık
  • Master’s in Nursing Management
    AL-Quds University, Jerusalem, Palestine (2010-2014)
    Thesis: Effects of Selected Organizational Climate Factors on Nursing Performance and Patient Satisfaction in Renal Dialysis Units in West Bank Hospitals
    Advisor: RN. MSN. Ph.D. Associate Professor Sumaya Sayej
  • Bachelor’s in Nursing
    Jordan University, Amman, Jordan (2004-2008)
  • High School Certificate
    AL-Adaweia School, Tulkarm, Palestine (2001-2004)

Work Experience:

  • Assistant Professor
    AL-Quds University, Abu-Deis, Jerusalem, Palestine (1/10/2022 – Present)
    Responsibilities:

    • Teaching courses in Fundamentals of Nursing, Leadership and Management, Health Accreditation, Health Informatics, Pathology, Anatomy, and Integrated Simulation Nursing Strategy in Nursing Practice
    • Graduation Project I and II
  • Dr. and Lecturer
    Cyprus International University, Lefkosa, Turkish Republic of Northern Cyprus (10/10/2020 – 30/09/2022)
    Responsibilities:

    • Teaching Fundamentals of Nursing, Ethics and Dentology in Nursing, Leadership and Management, Health Promotion, Critical Thinking, Teaching Strategies in Nursing, and Curriculum Development in Nursing
  • Head of Nursing Department & Clinical Department of Health Professionals
    Modern University College, Ramallah, Palestine (2008-2017)
    Responsibilities:

    • Designing, developing, and managing the nursing program
    • Building relations with the Health Ministry and hospitals in West Bank, Palestine
    • Organizing nursing schedules and department operations
    • Teaching courses in Fundamentals of Nursing, Ethics, Medical-Surgical Nursing, Nutrition, and Medical Terminology
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