Theresa Kühle | Data Analysis | Best Researcher Award

Mrs. Theresa Kühle | Data Analysis | Best Researcher Award

Mrs. Theresa Kühle at Universität Münster, Germany

👨‍🎓Professional Profile

🌟 Summary

Theresa Kühle is a dedicated medical student at the University of Münster, Germany, with a strong focus on pediatric cardiology, prenatal medicine, and psychosomatic disorders. Passionate about research and clinical practice, she has presented at several medical congresses and published research in the field of fetal heart failure. As a Cusanuswerk scholarship recipient, she is committed to advancing in her medical career with international experience.

🎓 Education

Since 2019, Theresa has been studying medicine at the University of Münster, Germany. She also gained international medical experience at the Universidad de Valladolid, Spain, in 2023. Theresa completed her Abitur at Gymnasium Schloss Neuhaus, Paderborn, in 2018, with an outstanding grade of 1.0.

💼 Professional Experience

Theresa has gained extensive practical experience in hospitals and medical settings. Since 2024, she has been working as an OP student in the Department of Gynaecology and Obstetrics at St. Franziskus-Hospital in Münster. She also gained clinical experience in pediatrics, cardiology, neurology, urology, and psychosomatic medicine at the University Hospital Münster. In addition, she has been a tutor for a sonography course at her university since 2024.

📑 Academic Citations

In 2024, Theresa presented posters at the 65th DGGG Congress in Berlin and the 47th Tri-Nation Meeting in Salzburg. She has also published a research paper on “Dyssynchronous fetal heart failure in maternal diabetes” with Prof. Dr. Ralf Schmitz, highlighting her active involvement in medical research.

🛠️ Technical Skills

Theresa possesses advanced skills in sonography, as evidenced by her role as a tutor in the ultrasound course at the University of Münster. She has a deep understanding of prenatal diagnostics, particularly in echocardiography and M-mode software. In addition, she is fluent in English (C1/C2), Spanish (B2.2), and French (B2), with proficiency in Latin.

👩‍🏫 Teaching Experience

Theresa has enriched her teaching portfolio by serving as a tutor for the sonography course at the University of Münster since 2024. She has also gained hands-on teaching experience in psychosomatic treatments, pediatrics, and psychotherapeutic practices during her medical training.

🔬 Research Interests

Her research focuses on pediatric cardiology, particularly congenital heart defects, and prenatal medicine, with a specific interest in fetal heart failure caused by maternal diabetes. Additionally, Theresa is passionate about psychosomatic medicine and psychological health treatments for children and adolescents.

📖Top Noted Publication

Dyssynchronous Fetal Heart Failure in Maternal Diabetes: Evaluation with Speckle Tracking Echocardiography and Novel M-Mode Software

Authors: Theresa M. Kühle, Angela Burgmair, Georg Schummers, Mareike Möllers, Kathrin Oelmeier, Chiara De Santis, Helen Ann Köster, Ute Möllmann, Daniela Willy, Janina Braun, et al.

Journal: Ultrasound in Medicine & Biology

Year: 2024

Federico Lubello | Macroeconomics and climate change | Best Researcher Award

Mr. Federico Lubello | Macroeconomics and climate change | Best Researcher Award

Mr. Federico Lubello at Banque centrale du Luxembourg, Luxembourg

👨‍🎓Professional Profiles

🌍 Summary

Federico Lubello is a Senior Economist at the Banque Centrale du Luxembourg and an expert in macroeconomics and financial stability, focusing on climate change and sustainability risks. He is actively involved in global initiatives, including the Network for Greening the Financial System (NGFS) and the European Central Bank’s climate risk monitoring projects. His research explores the intersection of macroprudential policy, climate transition, and financial stability.

🎓 Education

Federico holds a Ph.D. in Economics from the Catholic University of Milan (2015). He earned an M.Sc. in Economics and Finance from Barcelona GSE (Universitat Pompeu Fabra) in 2012, and an M.Sc. in Finance from Università Politecnica delle Marche in 2010. He also completed his B.Sc. in Economics and Finance at Università Politecnica delle Marche in 2006.

💼 Professional Experience

Currently, Federico serves as a Senior Economist at the Banque Centrale du Luxembourg (2016–present). He is a member of the NGFS Macrofinancial Workstream (2018–present) and was part of the ECB Project Team on Climate Risk Monitoring (2019–2020). Federico’s early career included roles as a PhD Intern in Financial Stability at the Bank of England (2015), and as a Research Fellow at the University of Copenhagen (2014–2015) and Kiel Institute for the World Economy (2013–2014).

💻 Technical Skills

Federico is proficient in several technical tools, including MatLab, Dynare, Eviews, Gretl, and LaTeX. He is also experienced with RealTick Trading Platform, Microsoft Office, and both Linux and Macintosh operating systems.

🔬 Research Interests

Federico’s research focuses on the impacts of climate change on financial stability, the role of macroprudential policy, DSGE models for financial regulation, and the evolving role of central banks in climate risk monitoring.

👨‍🏫 Teaching Experience

Federico has taught and presented at various academic and research seminars, including a PhD Seminar at the Catholic University of Milan (2015), a Research Seminar at the Bank of England (2015), and the Summer School in Applied Macroeconometrics at the University of Salento (2012).

 

📖Top Noted Publications

From Brown to Green: Climate Transition and Macroprudential Policy Coordination

Authors: Federico Lubello

Journal: Journal of Risk and Financial Management

Year: 2024

Securitization, Shadow Banking System and Macroprudential Regulation: A DSGE Approach

Authors: Federico Lubello, Abdelaziz Rouabah

Journal: Economic Modelling

Year: 2024

Bank Assets, Liquidity and Credit Cycles

Authors: Federico Lubello, Ilaria Petrella, Elvira Santoro

Journal: Journal of Economic Dynamics and Control

Year: 2019

Shubing Dai | Algorithm Development | Best Researcher Award

Prof. Shubing Dai | Algorithm Development | Best Researcher Award

Prof. Shubing Dai at Northwest A&F University, China

Professional Profile👨‍🎓

👨‍🏫 Summary

Prof. Shubing Dai is an Associate Professor at Northwest A&F University, specializing in Hydraulic Engineering. With a background in Hydraulics and River Dynamics, he has published over 20 research papers and actively participated in over 20 research projects. His work primarily focuses on urban flood management, hydraulic structures, and water flow dynamics. He is also an active member of key professional organizations, including the China Society for Hydroelectric Engineering and the International Association for Hydro-Environment Engineering and Research (IAHR).

🎓 Education

Prof. Dai began his academic career at Northwest A&F University, where he earned his Bachelor’s (2008–2012) and Master’s (2012–2015) degrees in Hydraulic and Hydroelectric Engineering. He then pursued a Ph.D. in Hydraulics and River Dynamics at Dalian University of Technology (2016–2021). Additionally, he worked as a visiting scholar at the University of La Coruña in Spain (2024).

💼 Professional Experience

Prof. Dai has extensive professional experience, both in academia and industry. He currently serves as an Associate Professor at Northwest A&F University and the Department Secretary of the Hydraulic Engineering Department. He also previously worked as an Assistant Engineer at the Changjiang Survey, Planning, and Design Institute (2015–2016), contributing to several major hydropower and hydraulic engineering projects.

📚 Academic Contributions

Prof. Dai is an active contributor to the academic community, serving as a reviewer for several leading journals such as Journal of Hydrology and Physics of Fluids. He also serves as an editorial board member for an international journal. His research focuses on water resources, hydraulic structures, and flow dynamics, with over 20 published papers and several high-impact research projects.

🔧 Technical Skills

Prof. Dai has developed a range of technical skills, including:

  • Hydraulic Engineering: Focus on energy dissipation and optimization of flood discharge systems.
  • Urban Flooding & Drainage: Expertise in urban drainage system design, stormwater management, and flood mitigation.
  • Flow Dynamics: Proficient in Computational Fluid Dynamics (CFD) and non-steady flow simulations for hydraulic applications.
  • Hydropower Engineering: In-depth research on dam-break flood modeling, hydraulic structures, and their interactions with water flow.

👩‍🏫 Teaching Experience

As a dedicated educator, Prof. Dai mentors master’s students and teaches courses on fluid dynamics, hydraulic modeling, and water resource management. He is also responsible for the administration of the Water Resources and Hydroelectric Engineering department at Northwest A&F University, playing a key role in curriculum development and academic planning.

🔬 Research Interests

Prof. Dai’s research interests are focused on:

  • Hydraulic Engineering: Research on energy dissipation in hydraulic structures and optimization of flood discharge processes.
  • Flood Disaster Management: Urban flood management, drainage systems, and dam-break flood evolution.
  • Non-steady Flow & Hydrodynamics: Investigating the dynamics of free-surface flows, wave behavior, and non-constant flow conditions in hydraulic systems.

🔍 Research Projects

Prof. Dai leads and participates in several important research projects, such as:

  • City Flood and Drainage Systems Simulation (2022–2025)
  • Optimization of Urban Drainage Under Extreme Rainfall Conditions (2023–2025)
  • Dam-Break Flood Evolution and Structural Interaction Studies (2024–2026)
    He is also involved in national and regional projects on hydraulic structure optimization, flood forecasting, and water resource management.

 

📖Top Noted Publications

Numerical study of roll wave development for non-uniform initial conditions using steep slope shallow water equations

Authors: Dai, S., Liu, X., Zhang, K., Liu, H., Jin, S.
Journal: Physics of Fluids
Year: 2024

Discharge coefficients formulae of grate inlets of complicated conditions for urban floods simulation and urban drainage systems design

Authors: Dai, S., Hou, J., Jin, S., Hou, J., Liu, G.
Journal: Journal of Hydrology
Year: 2023

Land Degradation Caused by Construction Activity: Investigation, Cause and Control Measures

Authors: Dai, S., Ma, Y., Zhang, K.
Journal: International Journal of Environmental Research and Public Health
Year: 2022

Numerical investigations of unsteady critical flow conditions over an obstacle using three models

Authors: Dai, S., Jin, S.
Journal: Physics of Fluids
Year: 2022

Interception efficiency of grate inlets for sustainable urban drainage systems design under different road slopes and approaching discharges

Authors: Dai, S., Jin, S., Qian, C., Ma, Y., Liang, C.
Journal: Urban Water Journal
Year: 2021

Håkan Jankensgård | Quantitative Social Science Research | Best Researcher Award

Dr. Håkan Jankensgård | Quantitative Social Science Research | Best Researcher Award

Dr. Håkan Jankensgård at Stockholm University, Sweden

Professional Profile👨‍🎓

Early Academic Pursuits 🎓

Dr. Håkan Jankensgård’s academic journey began with a strong foundation at Lund University, Sweden, where he completed both his MSc in Business Administration (2001) and later his PhD in Business Administration (2011). His dissertation, titled “Essays on Corporate Risk Management,” reflects his early academic focus on risk management, which has become the cornerstone of his research career. His education was further enriched by several specialized courses, including Lärarrollen vid universitet och högskola (2014) and The Good Lecture (2015), honing his teaching and supervisory skills.

Professional Endeavors 💼

Dr. Jankensgård’s professional career spans both academia and industry, bringing practical expertise into the classroom. From 2001 to 2003, he served as a Risk Manager at Norsk Hydro in Oslo, Norway, where he gained valuable real-world experience in corporate risk management. His consulting role at Lund, Sweden, from 2004 to 2012, deepened his understanding of corporate finance and risk strategies. This combination of academic excellence and hands-on industry experience makes him a well-rounded academic and consultant.

Contributions and Research Focus 🔍

Dr. Jankensgård’s research is centered on corporate risk management, with an emphasis on understanding how businesses navigate and mitigate financial risks. His work on the role of CEOs in risk management and his long-term study on the effectiveness of corporate risk management have made significant contributions to the field. His research has been supported by prestigious funding bodies like the Jan Wallander and Tom Hedelius Foundations, showcasing his reputation within the academic and professional community. Notably, his studies have questioned the true effectiveness of corporate risk management, offering new insights into the implementation and value of risk strategies in business.

Impact and Influence 🌍

Dr. Jankensgård’s influence extends far beyond his research. He has been actively involved in shaping the discourse on corporate finance, risk, and resilience. He regularly speaks at high-profile events, such as the Svenska Finansanalytikers Förbund and the Rotary Stockholm, and contributes to discussions on risk governance, strategy, and financial forecasting. As a member of various academic and professional committees, including his role on the FFUN committee at Lund University, he has been integral in shaping academic appointments and ensuring the integrity of academic processes.

Academic Citations 📚

Dr. Jankensgård’s research has garnered significant academic attention, with over 820 citations and an H-index of 13 on Google Scholar. His works are widely read, with 5,293 downloads on SSRN, placing him in the top 5% of authors on the platform. These numbers reflect his growing impact in the fields of corporate finance and risk management, as scholars and practitioners continue to engage with his work.

Technical Skills ⚙️

Dr. Jankensgård’s technical expertise is vast, particularly in risk management, corporate finance, and valuation. He has a deep understanding of financial markets, risk governance, and resilience strategies, all of which he integrates into his teaching and research. His ability to apply theoretical knowledge to real-world scenarios, combined with his technical proficiency in financial modeling and corporate strategy, has made him a sought-after consultant and speaker.

Teaching Experience 📚

Dr. Jankensgård’s teaching experience spans over a decade, during which he has developed and led several key courses. As the instructor and course director for courses like Managerial Finance, Corporate Risk Management, and Corporate Valuation at both Lund University and Stockholm University, he has impacted the education of hundreds of students. His courses have been highly ranked, with students consistently praising their relevance to future careers. Beyond course delivery, he is an active doctoral supervisor, guiding 8-15 thesis students annually and contributing to their academic growth.

Legacy and Future Contributions 🚀

Dr. Jankensgård’s legacy lies in his commitment to bridging theory and practice in corporate finance and risk management. As an educator, researcher, and industry expert, he continues to shape the future of the field. His ongoing research projects and speaking engagements suggest that his influence will only grow in the coming years. His contributions to understanding corporate risk, valuation, and resilience will continue to guide future research and industry practices.

YouTube Channel 📹

In addition to his academic work, Dr. Jankensgård has embraced digital media to further educate and engage with a wider audience. His YouTube channel, Jankensgard on Risk, launched in 2021, is dedicated to the theory and practice of risk management. With 250+ subscribers, it serves as an accessible platform for students, professionals, and enthusiasts interested in corporate risk strategies.

Doctoral Supervision 📝

Dr. Jankensgård is deeply involved in the academic development of doctoral students. He has supervised several PhD candidates, including Nick Christie, whose thesis explores financial constraints, risk, and investment. His active participation in doctoral committees, such as the grading of doctoral dissertations, further highlights his commitment to advancing academic knowledge and supporting the next generation of scholars.

 

Top Noted Publications 📖

Ying-Chih Sun | Business Intelligence and Analytics | Best Researcher Award

Assist Prof Dr. Ying-Chih Sun | Business Intelligence and Analytics | Best Researcher Award

Assist Prof Dr. Ying-Chih Sun at East Central University, United States

👨‍🎓Professional Profiles

📚 Summary

Dr. Ying-Chih Sun is an Assistant Professor of Business Administration – Information Technology Management at East Central University. With a Ph.D. in Information Systems Engineering and Management and a strong academic background in economics, data analytics, and IT management, his research focuses on AI applications in healthcare, telehealth, and supply chain management. He is passionate about integrating business analytics with IT solutions to improve operational efficiencies across industries.

🎓 Education

Dr. Sun holds a Ph.D. in Information Systems Engineering and Management (ISEM) from Harrisburg University of Science and Technology (2023), where he graduated with a perfect 4.0 GPA. He also earned M.S. degrees in Economics from the University at Buffalo (2018) and Texas A&M University (2010), and an M.B.A. in Applied Economics (Summa Cum Laude) from National Taiwan Ocean University (2005). He completed his undergraduate studies in International Trade at Tamkang University (2003).

💼 Professional Experience

Dr. Sun is currently serving as an Assistant Professor at East Central University, teaching courses in Business Economics, Data Analytics, and Cloud Management. Before this, he was an Assistant Professor in Residence at Bradley University (2023-2024), where he contributed to research and teaching in business analytics. He also worked as a Research Assistant at Harrisburg University (2019-2023), conducting research on telehealth and healthcare delivery. Previously, he served as an IT Research Data Analyst at SUNY Buffalo and held roles at the Institute of Economics, Academia Sinica and Tri-Service General Hospital in Taiwan.

📝 Academic Publications & Conferences

Dr. Sun has presented at major conferences like the DSI Conference 2024, AMCIS 2024, and MWAIS 2024. His research papers focus on a range of topics, including telehealth efficiency, AI in healthcare, digital reputation in business schools, and supply chain optimization. His recent work on “Evaluating Telehealth Efficiency” and “Enhancing Judicial Decision-Making with AI” exemplifies his interdisciplinary approach to solving complex business and healthcare challenges.

💻 Technical Skills

Dr. Sun possesses advanced proficiency in data analytics tools like SQL, STATA, and Excel for statistical modeling and large data analysis. He is also familiar with Python and has hands-on experience in cloud management and telehealth technology. His technical skills enable him to approach research from both an analytical and technological perspective, focusing on improving efficiency in healthcare and business operations.

👨‍🏫 Teaching Experience

Dr. Sun has extensive teaching experience, having taught courses at East Central University (2024-present) in Business Economics, Data Analytics, and Cloud Management. He previously taught at Bradley University (2023-2024), covering Business Analytics and Business Analytics Software. Additionally, during his time at SUNY at Buffalo (2015-2018), he served as a Grader and Teaching Assistant for various econometrics courses and contributed to graduate-level teaching in Computational Econometrics.

🔬 Research Interests

Dr. Sun’s primary research interests lie at the intersection of AI, telehealth, and business analytics. He explores how data-driven decision-making can enhance healthcare delivery and operational efficiency, with a focus on telemedicine applications and the use of machine learning for healthcare and business management. His work on optimizing AI investments and supply chain management has important implications for improving cost-effectiveness and decision-making in businesses and healthcare systems.

 

📖 Top Noted Publications

A stochastic production frontier model for evaluating the performance efficiency of artificial intelligence investment worldwide

Authors: Sun, Y.-C., Cosgun, O., Sharman, R., Mulgund, P., Delen, D.
Journal: Decision Analytics Journal
Year: 2024

The impact of policy and technology infrastructure on telehealth utilization

Authors: Sun, Y.-C., Cosgun, O., Sharman, R.
Journal: Health Services Management Research
Year: 2024

The Effect of Varying User Risk Levels on Perceived Social Presence in Mental Health Chatbots

Authors: Thimmanayakanapalya, S.S., Singh, R., Mulgund, P., Sun, Y.-C., Sharman, R.
Conference: 29th Annual Americas Conference on Information Systems (AMCIS 2023)
Year: 2023

Haoyu Chen | Human Behavior Modeling | Young Scientist Award

Assist Prof Dr. Haoyu Chen | Human Behavior Modeling | Young Scientist Award

Assist Prof Dr. Haoyu Chen at University of Oulu, Finland

👨‍🎓Professional Profile

👨‍🏫 Summary

Assist Prof Dr. Haoyu Chen at the CMVS unit of the University of Oulu, where I also completed my Ph.D. and Master’s in Computer Science. My research focuses on the intersection of emotion AI, computer vision, and machine learning. I am particularly interested in building AI systems that can understand and perceive complex human emotions. My work integrates human cognitive modeling, adversarial learning, and multimodal learning to push the boundaries of how AI can interact with humans in more intuitive and empathetic ways.

🎓 Education

I hold a Ph.D. in Computer Science and Engineering from the University of Oulu, Finland (2022), with distinction (GPA: 4.5). Prior to that, I completed my Master’s degree in Computer Science and Engineering at the same institution in 2017, graduating with excellent marks (GPA: 4.2).

💼 Professional Experience

As an Assistant Professor (03/2022–Present) at the University of Oulu’s CMVS unit, I focus on human emotional and cognitive modeling in AI. I also serve as a Postdoctoral Researcher (03/2022–Present) on Emotion AI and Adversarial Learning projects under the guidance of Prof. Guoying Zhao. In addition, I was a Visiting Researcher at Delft University of Technology in the Learning Science group, where I collaborated with Prof. Marcus Specht (03/2023–06/2023). I also contributed to Computer-Supported Collaborative Learning (CSCL) projects as a technical consultant for NTU Singapore (09/2019–09/2022).

📚 Academic Citations

My research has been featured in top-tier conferences like AAAI, ICCV, BMVC, CVPR, and IJCV, with publications in major journals like TIP, TMM, and TNNLS. My work primarily focuses on emotion recognition, gesture analysis, multimodal learning, and adversarial attacks in AI systems.

💻 Technical Skills

I am proficient in Python, C++, and major deep learning frameworks like TensorFlow and PyTorch. My expertise includes computer vision techniques such as object detection and action recognition, as well as emotion recognition and gesture analysis. I also specialize in machine learning methodologies, including supervised and unsupervised learning and the development of secure AI systems resistant to adversarial attacks.

📚 Teaching Experience

I have served as a Lecturer for courses like Affective Computing (2024 Spring) and Computer Graphics (2024 & 2023 Spring) at the University of Oulu. Additionally, I have been a Teaching Assistant for courses in Affective Computing and Computer Graphics over the years. Beyond the classroom, I organize workshops and challenges such as the MiGA Workshop on micro-gesture analysis (IJCAI 2023 & 2024) and the VIPriors Challenges (ECCV 2020). I also serve as a peer reviewer for conferences and journals like CVPR, AAAI, ECCV, and TMM.

🔬 Research Interests

My research interests lie at the intersection of Emotion AI, Human-AI Interaction, and Adversarial Learning. I explore how AI can recognize and interpret human emotions through gestural analysis and cognitive modeling, aiming to build systems that enhance emotional and cognitive understanding. I am also interested in developing AI models that are both secure and reliable, particularly in defending against adversarial attacks.

 

📖 Top Noted Publications

Sogand Dehghan | social network analysis | Best Innovation Award

Ms. Sogand Dehghan | social network analysis | Best Innovation Award

Ms. Sogand Dehghan at K. N. Toosi University of Technology, Iran

👨‍🎓Professional Profiles

Orcid Profile

Google Scholar  Profile

👩‍💻 Summary

Ms. Sogand Dehghan an Information Technology specialist with expertise in data analysis and software development. My work primarily focuses on collecting, cleaning, and analyzing data from various sources to create actionable reports and dashboards for organizational decision-making. I am passionate about using data-driven strategies to help businesses achieve their goals, with a particular interest in social media analysis and its alignment with organizational objectives. Additionally, I enjoy developing data-driven software solutions that enhance operational efficiency.

🎓 Education

Ms. Sogand Dehghan earned my Master’s Degree in Information Technology from K.N. Toosi University of Technology (2019-2022) and my Bachelor’s Degree in Information Technology with a grade of 97% from Payame Noor University (2012-2016). My thesis, titled “Provision of an Efficient Model for Evaluation of Social Media Users Using Machine Learning Techniques,” focused on leveraging machine learning to assess social media engagement and user behavior.

💼 Professional Experience

Ms. Sogand Dehghan currently hold two key roles: as an Instructor at National Skills University, where I teach courses on Advanced Programming and Data Analysis (since Sep 2024), and as a Data Analyst at GAM Arak Industry, where I focus on data mining, machine learning, and visualizing data insights using tools like Power BI, Python, SQL Server, and SSRS (since Jan 2024). Additionally, I serve as a Software Developer at GAM Arak Industry, working with C#, ASP.NET Core, and SQL Server to build scalable software solutions (since Apr 2023). In my previous role at Kherad Sanat Arvand (Apr 2022 – Jun 2023), I honed my skills in data analysis and dashboard development.

📚 Academic Citations

My research has been published in prestigious journals. My paper, “The Credibility Assessment of Twitter Users Based on Organizational Objectives,” was published in Computers in Human Behavior (Sep 2024), where I developed a model for assessing the credibility of Twitter users by integrating profile data with academic sources like Google Scholar. Another notable publication, “The Evaluation of Social Media Users’ Credibility in Big Data Life Cycle,” appeared in the Journal of Information and Communication Technology (Sep 2023), in which I reviewed existing frameworks for evaluating social media user credibility.

🔧 Technical Skills

My technical skill set includes expertise in C#, ASP.NET, Python, and SQL Server for software development. I specialize in Data Visualization with Power BI, Data Mining, Machine Learning, and Social Network Analysis. Additionally, I have a solid foundation in Text Mining and Data Modeling, which enables me to provide comprehensive solutions for data-driven challenges in various organizational contexts.

👨‍🏫 Teaching Experience

As an Instructor at National Skills University, I teach Advanced Programming and Data Analysis. I focus on equipping students with the skills needed to thrive in the data-driven world of technology. My approach integrates real-world data problems with theoretical knowledge to help students apply their learning in practical scenarios.

🔍 Research Interests

My research interests lie in the intersection of Machine Learning and Social Network Analysis. I am particularly interested in developing models to evaluate social media user credibility, integrating heterogeneous data sources for organizational decision-making, and exploring the broader implications of big data in evaluating trust and influence within social networks.

 

Shuaa S. Alharbi | Bioimage informatics | Best Researcher Award

Dr. Shuaa S. Alharbi | Bioimage informatics | Best Researcher Award

Doctorate at Department of Information Technology, College of Computer, Qassim University, Saudi Arabia

👨‍🎓Professional Profiles

Orcid Profile

Scopus Profile

👩‍💻 Summary

Dr. Shuaa S. Alharbi is an Assistant Professor in the Department of Information Technology at the College of Computer, Qassim University, Saudi Arabia. With a strong interdisciplinary background, she specializes in machine learning and image processing, particularly their applications in biomedical fields. Her research focuses on leveraging deep learning techniques to analyze medical images and improve diagnostic accuracy. Dr. Alharbi is dedicated to advancing bioinformatics and medical image analysis using cutting-edge technology.

🎓 Education

Dr. Alharbi holds a Ph.D. in Computer Science from Durham University, UK (2020), and both an M.Sc. and B.Sc. in Computer Science from Qassim University (2007) and King Saud University (2014), respectively. Her academic journey has provided her with a solid foundation in computer science, further augmented by extensive research in machine learning and bioimaging.

💼 Professional Experience

Dr. Alharbi has accumulated years of academic experience. She started as a Teaching Assistant at Qassim University in 2008, then progressed to Lecturer in 2015. Since 2020, she has served as an Assistant Professor at the same institution. Throughout her career, she has mentored students and contributed significantly to the academic environment at Qassim University, particularly in the Information Technology Department.

📝 Academic Committees & Administrative Roles

Dr. Alharbi has been deeply involved in various administrative roles at Qassim University. She served as E-content Supervisor (2020-2022), and currently coordinates the IT Department (2020-present). She is also a Postgraduate Supervisor (2023-present) and has been a Permanent Member of the Standing Committee for Assistance in the Scientific Council since 2023, contributing to the advancement of educational practices and research policies at the university.

🔬 Research Interests

Dr. Alharbi’s research interests are at the intersection of machine learning, image processing, and bioinformatics. She focuses on the application of deep learning for medical image analysis, working to enhance disease detection and diagnostic precision. Her work includes developing novel deep learning architectures and data-driven models to solve complex problems in medical and biological imaging.

🖥️ Technical Skills

Dr. Alharbi is proficient in a range of technical skills, including machine learning and deep learning frameworks, image and signal processing, computer graphics, and bioinformatics. She is experienced with programming languages such as Python, MATLAB, C++, and Java, and is adept at using these tools to solve complex problems in medical image analysis and other interdisciplinary fields.

📚 Teaching Experience

In addition to her research, Dr. Alharbi has taught several graduate-level courses, including Data Science, Computer Graphics, and Health Information Systems. She has also supervised Master’s theses in fields like cybersecurity, blockchain, and medical image processing, contributing to the academic growth of students in the Information Technology and Cybersecurity programs.

🌍 Conferences & Seminars

Dr. Alharbi has presented her work at prestigious international conferences, such as the IEEE BIBM International Conference on Bioinformatics and Biomedicine (Spain) and the Medical Image Computing Summer School at UCL (London). These platforms have allowed her to collaborate with global experts and stay at the forefront of research in bioimaging and machine learning.

💡 Research Grants

Dr. Alharbi was awarded a Coffee Research Grant from the Saudi Ministry of Culture, under the Saudi Heritage Preservation Society, showcasing her active involvement in research funding and promoting innovation in her fields of expertise.

 

📖 Top Noted Publications

Alao Joseph Omeiza | Applied Geophysics | Best Researcher Award

Dr. Alao Joseph Omeiza | Applied Geophysics | Best Researcher Award

Doctorate at Ahmadu Bello University, Nigeria

👨‍🎓Professional Profiles

👨‍🎓 Summary

Dr. Alao Joseph Omeiza is an accomplished academic and researcher in Applied Geophysics, with a focus on environmental geophysics, groundwater systems, and public health risks associated with pollutants. Currently pursuing a Ph.D. in Applied Geophysics at Ahmadu Bello University (expected December 2024), Dr. Alao combines expertise in geophysical methods and environmental monitoring to explore the implications of landfill leachates and other environmental hazards. His work is highly interdisciplinary, integrating physics, geochemistry, and public health considerations.

🎓 Education

Dr. Alao holds a PhD in Applied Geophysics (awaiting results, expected December 2024) from Ahmadu Bello University, Nigeria. He earned his M.Sc. in Physics from Kaduna State University in 2017 and his B.Sc. in Physics (2nd Class Upper) from Kogi State University in 2012. His early academic foundation includes his secondary education at Ijumu Anglican Science Secondary School and primary education at St. Paul No. 1 Primary School, both in Kogi State.

💼 Professional Experience

Dr. Alao currently serves as a Lecturer I at the Air Force Institute of Technology in Kaduna, Nigeria, where he teaches a variety of geophysics and physics courses such as Applied Geophysics, Environmental Geophysics, and Advanced Physics of Earth Interior. His previous academic roles include teaching at Ahmadu Bello University, Kogi State University, and Kaduna State University. He also has experience as a Part-time Assistant Lecturer and Teacher at various institutions, including Incubator Academy.

🛠️ Technical Skills

Dr. Alao is skilled in several advanced software tools for geophysical analysis and environmental monitoring, including Surfer 11, Oasis Montaj, ArcGIS, and Res 1D & 2D. He is also proficient in MS Office Suite (Word, Excel, PowerPoint) and other research tools that support data analysis and presentation.

👩‍🏫 Teaching Experience

With years of teaching experience, Dr. Alao has instructed undergraduate and postgraduate students in subjects such as Geochemistry, Environmental Geophysics, and Thermal Physics. His teaching experience spans multiple institutions, including the Air Force Institute of Technology, Ahmadu Bello University, and Kogi State University, where he has delivered both practical and theoretical courses in physics and geophysics.

🔬 Research Interests

Dr. Alao’s primary research interests lie in Environmental Geophysics, with a particular focus on landfill leachate monitoring, groundwater geophysics, and the public health risks related to pollutants. He is also passionate about developing geophysical techniques for environmental resource management and exploring geotechnical parameters for sustainable urban development.

🏅 Awards and Recognition

Dr. Alao’s research and contributions to the academic community have been recognized with multiple awards, including the 2nd Prize in Public Health and Environment Paper Prize (2024) and the 2nd Best Researcher Award at the Air Force Institute of Technology (2024).

 

📖 Top Noted Publications

nader tarabeih | Healthcare Data Analysis | Best Researcher Award

Dr. nader tarabeih | Healthcare Data Analysis | Best Researcher Award

Dr. nader tarabeih at Ariel University, Israel

👨‍🎓Professional Profile

👨‍🔬 Summary

Dr. Nader Tarabeih is a dedicated researcher and clinician with a focus on genetic epidemiology and musculoskeletal disorders. Currently a postdoctoral researcher at Ariel University, his work centers on understanding inflammation-related biomarkers and their role in spinal pain. With a solid background in nursing, Dr. Tarabeih transitioned to academic research, publishing impactful studies on low back pain, metabolic factors, and their genetic causes.

🎓 Education

Dr. Tarabeih’s educational journey reflects his deep commitment to advancing medical research. He is currently pursuing a Post-doctoral position in Morphological Studies at the Adelson School of Medicine, Ariel University (2023 – Present). Previously, he completed his PhD in Genetic Epidemiology at Tel Aviv University (2018 – 2022), focusing on how blood biochemical factors and body composition affect spinal pain in complex Arab pedigrees. His MSc (2013 – 2016) also at Tel Aviv University examined genetic, demographic, and body composition risk factors for low back pain. Additionally, he holds a BA in Nursing from Tel Aviv University (2006 – 2010).

💼 Professional Experience

Dr. Tarabeih has gained extensive clinical and leadership experience in the healthcare field. He served as Director of Quality and Safety at the Maale HaCarmel Mental Health Center in Haifa, Israel (2020 – 2023). Prior to this, he worked as a Nurse at the same institution (2013 – 2020), where he applied his clinical expertise in a variety of settings, contributing to patient care and safety.

🔧 Technical Skills

Dr. Tarabeih brings a broad set of skills to his research and clinical practice. He is proficient in Genetic Epidemiology, specializing in the analysis of complex pedigrees and genetic risk factors for musculoskeletal disorders. His expertise extends to Biomarker Discovery, where he investigates biomarkers to improve the understanding and management of spinal pain. Additionally, he is skilled in Data Analysis and Clinical Research, focusing on inflammation, metabolic health, and spinal disorders.

👩‍🏫 Teaching Experience

Dr. Tarabeih has been an active contributor to academic discussions and has presented his research at several notable conferences. In 2022, he spoke on systemic biomarkers in degenerative lumbar spinal disorders at the Post-Genome Analysis for Musculoskeletal Biology Conference in Tzfat, Israel. He also presented on low back pain and its genetic and biochemical factors at the International Conference on Spine Disorders in Dubai, UAE (2020), and contributed a poster on genetic risk factors for low back pain at the BIRAX Ageing Conference in London, UK (2018).

🔬 Research Interests

Dr. Tarabeih’s research is driven by a passion for understanding the genetic and environmental causes of musculoskeletal disorders. His primary interests lie in Genetic Epidemiology, particularly in how genetic and lifestyle factors contribute to spinal pain. He is also dedicated to identifying biomarkers for pain-related disabilities and exploring the impact of inflammation and metabolism on musculoskeletal health in diverse populations.

 

📖 Top Noted Publications