Faraz Khurshid | Medical Education | Best Researcher Award

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Dr. Faraz Khurshid | Medical Education | Best Researcher Award

Senior Lecturer | Dow Institute of Health Professionals Education (DIHPE), Dow University of Health Sciences, Karachi | Pakistan

Short Bio 🌟

Dr. Faraz Khurshid, a distinguished medical educator, holds a PhD in Medical Education from Western Sydney University. He has dual Master’s degrees in Health Professions Education (MHPE) from Maastricht University and Suez-Canal University, and in Molecular Biology (MSc) from Högskolan I Skövde. With over fifteen years of experience, Dr. Khurshid has made significant contributions to medical and allied health sciences education through teaching, research, and leadership roles.

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SCOPUS

Education 📚

Dr. Khurshid completed his PhD at Western Sydney University, focusing on the application of threshold concepts in pharmacology education. His thesis, titled ‘Using Threshold Concepts for the Development of a Guided Approach to Teaching, Learning and Assessment of Pharmacology,’ explores innovative educational frameworks to enhance student learning outcomes. His dedication to advancing pedagogical methodologies is underscored by his MHPE honors from Maastricht University and Suez-Canal University, and his MSc in Molecular Biology from Högskolan I Skövde.

Experience 💼

Dr. Khurshid’s professional journey includes pivotal roles such as Senior Lecturer at Dow University of Health Sciences in Karachi, Pakistan, where he supervised MHPE students, led Continuing Medical Education (CME) programs, and developed PhD curricula in Health Professions Education. As a PhD Fellow at Western Sydney University, he conducted groundbreaking research on threshold concepts in pharmacology education, applying the Four Components Instructional Design (4C/ID) model.

Previously, Dr. Khurshid served as a Senior Instructor at Aga Khan University, Karachi, contributing to undergraduate and postgraduate medical education. He also held a Lecturer position at the University of Buraimi in Oman, where he innovatively integrated graphic medicine into teaching pharmacology to Optometry students.

Research Interest 🧬

Dr. Khurshid’s research interests are multifaceted, focusing on enhancing pharmacology education through threshold concepts, pedagogical interventions in medical education, and integrating graphic medicine as a teaching tool. His work aims to improve student understanding and application of complex medical concepts.

Award 🏆

Dr. Khurshid has been recognized for his scholarly contributions, including presentations at international conferences and publications in renowned peer-reviewed journals.

Publications 📖

Here are five significant publications by Dr. Faraz Khurshid:

Identifying and Exploring the Cognitive Nature of Threshold Concepts in Pharmacology to Improve Medical Students’ Learning
Teaching and Learning in Medicine, 2024
Link to publication
(Cited by 15)

Pedagogical Interventions and Their Influences on University-level Students Learning Pharmacology – A Realist Review
Frontiers in Education, 2023
Link to publication
(Cited by 10)

Twelve Tips for Adopting the Virtual Nominal Group Technique (vNGT) in Medical Education Research
MedEdPublish, 2023
Link to publication
(Cited by 8)

Prescription Writing Through the Lens of the Threshold Concept Framework: A Narrative Review
Research and Development in Medical Education, 2020
Link to publication
(Cited by 20)

Threshold Concepts in the Discipline of Pharmacology – A Preliminary Qualitative Study of Students’ Reflective Essays
Health Professions Education, 2020
Link to publication
(Cited by 12)

 

 

Dubon RODRIGUE | Machine Learning – Energy Systems | Best Researcher Award

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Mr.Dubon RODRIGUE | Machine Learning – Energy Systems | Best Researcher Award

PhD student IMT ATLANTIQUE  France

Dubon Rodrigue is a dedicated PhD student at IMT Atlantique, specializing in computer science with a focus on energy systems. His research integrates artificial intelligence with physical modeling of district heating networks. With a solid background in fluid mechanics and mathematics, Dubon has garnered experience in both academic and industrial settings, contributing significantly to projects in energy optimization and simulation.

Profile

ORCiD

Education

🎓 IMT Atlantique (PhD in Computer Science – Energy Systems, 10/2022 – present)

🎓 INSEAD (Business Foundations Certificate, 12/2022)

  • Foundations in diverse business-related skills

🎓 Sorbonne Université (M.Sc in Fluids Mechanics, 1st honours, 2018 – 2020)

  • Joint degree with École Polytechnique
  • Exchange semester at ETH Zurich (02/2019 – 08/2019)

🎓 Sorbonne Université (B.Sc in Mathematics, 2.1 honours, 2015 – 2018)

  • Studies in fundamental and applied mathematics, computer science, and programming languages

Experience

💼 Princeps (Mechanical Engineer, full-time, France, 01/2021 – 09/2022)

  • Developed solutions for scheduling and planning refinery sites
  • Notable project: Jetty optimization model for ship dockings

💼 Air Liquide Inc (R&D Engineer Intern, Computation & Data Science team, France, 03/2020 – 08/2020)

  • Topic: Hybridization of AI algorithms and physical simulation of SMR furnaces for hydrogen production
  • Developed new hybrid modeling of heat radiation transfer

💼 ETH Microrobotics Laboratory (Semester project, Zurich, 05/2019 – 08/2019)

  • Topic: Characterizing the velocities of micro-swimmers for medical applications
  • Contributed to a published article: Nature article

Research Interests

🔍 Dubon’s research interests lie at the intersection of artificial intelligence, energy systems, and physical modeling. He is particularly focused on the optimization of district heating networks and the integration of AI with traditional engineering methods to enhance energy efficiency and sustainability.

Awards

🏆 Dubon’s commitment to excellence has been recognized through various accolades, including first honors in his M.Sc in Fluids Mechanics from Sorbonne Université and successful contributions to multiple high-impact research projects.

Publications

📚 Here are some of Dubon’s key publications:

  1. Rodrigue, D., et al. (2024). “Simplification of District Heating Networks topology using Artificial Intelligence.” Energy and AI. doi: 10.1016/j.egyai.2024.100393
    • Cited by: Relevant future studies in energy systems and AI applications.
  2. Rodrigue, D., et al. (2020). “Characterizing the velocities of micro-swimmers for medical applications.” Nature Machine Intelligence. doi: 10.1038/s42256-020-00275-x

 

Shaghaf Kaukab | Post-Harvest Engineering and Technology | Young Scientist Award

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Dr.Shaghaf Kaukab | Post-Harvest Engineering and Technology | Young Scientist Award

Scientist ICAR-CIPHET India

Shaghaf Kaukab is a dedicated scientist specializing in Agricultural Structures and Process Engineering at ICAR-CIPHET, Ludhiana. With over 4 years of scientific research experience and 7.5 years of academic research, she excels in food engineering and technology. Her expertise spans extrusion processing, drying technology, hermetic packaging, functional food product development, and the application of AI, machine learning, and deep learning in agriculture. Shaghaf has significantly contributed to storage and quality management of agricultural commodities, developing innovative solutions for pest control and storage losses.

Profile

Scopus

Education 🎓

Shaghaf Kaukab’s educational background is rooted in post-harvest technology. She earned her Ph.D. in Post Harvest Technology from the Indian Agricultural Research Institute, New Delhi, with an excellent grade (CGPA: 9.1/10.00) in 2019. Prior to that, she completed her M.Tech. in Post Harvest Engineering & Technology from the same institute, achieving a CGPA of 8.97/10.00 in 2016. Her rigorous academic training has equipped her with extensive knowledge and practical skills in her field.

Experience 💼

Shaghaf currently serves as a Scientist at ICAR-CIPHET, Ludhiana, focusing on Agricultural Structures & Process Engineering. Since January 2020, she has led projects on cold storage monitoring systems, maize cob drying systems, and AI-enabled robotic apple harvesters, among others. She collaborates with academic partners and mentors students, providing training and skill development for farmers and entrepreneurs. Her previous role at ICAR-National Academy of Agricultural Research Management in Hyderabad involved developing agricultural development plans and modern information management techniques.

Research Interests 🔬

Shaghaf’s research interests lie in the application of new-age technologies like AI, ML, and DL in post-harvest agriculture. She focuses on mathematical modeling, image processing techniques (biospeckle, RGB, X-ray, hyperspectral imaging), and analysis of food properties including physical, thermal, mechanical, and micro-structural aspects. Her work aims to enhance the efficiency and effectiveness of food process engineering through innovative technological solutions.

Honors and Awards 🏆

Shaghaf’s contributions have been recognized with several prestigious awards. She received the Best Presentation Award for her work on enhancing apple quality control using deep learning techniques at the 57th ISAE Annual Convention in 2023. She was also awarded the Bihar Gaurav Award by the State Government of Bihar in 2009, and the IARI Merit Medal for outstanding academic performance during 2014-2016. Her academic excellence is further highlighted by her top rankings in GATE, ICAR-JRF, and ICAR-SRF examinations.

Publications 📚

Shaghaf has authored numerous publications in reputed journals, contributing significantly to her field. Her notable works include:

  1. Improving Real-time Apple Fruit Detection: Depth and Multi-modal Information Fusions with Non-targeted Background Removal (2023) – Ecological Informatics
  2. Chickpea Temperature Profile Development and its Implication under Microwave Treatment (2023) – Biological Forum – An International Journal
  3. Osmotic Dehydration of Aloe-vera Gel Discs (2023) – Journal of AgriSearch
  4. Engineering Properties, Processing and Value Addition of Tamarind: A Review (2023) – IJBSM
  5. Study of engineering properties of selected vegetable seeds (2019) – Indian Journal of Agricultural Sciences
  6. Technological Interventions for Convenient Rice Preparation (2017) – Agricultural Engineering Today
  7. Rice Quality Evaluation Techniques (2017) – Trends in Biosciences
  8. Evaluation of Shelf Stability of Reconstituted (Extruded) Rice Under Ambient Storage Condition (2017) – Trends in Biosciences

 

Jan Pezda | History |Best Researcher Award

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Dr.Jan Pezda | History |Best Researcher Award

Assistant professor University of Ostrava  Czech Republic

Jan Pezda is a dedicated academic specializing in modern history with a focus on East Central Europe, particularly the Czech lands during the Habsburg Empire era. With a strong educational foundation and numerous accolades, Jan has contributed significantly to the understanding of tourism, physical culture, and social practices in the 19th and 20th centuries.

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ORCiD

Education

🎓 Ph.D. in Czech and Czechoslovak History (2021), University of Ostrava, Czech Republic. His dissertation, Tourism and Spatiotemporal Imagination of Middle-Class Citizens and Villagers in the Nineteenth Century, explores the intersection of social practices and tourism. 🎓 Master’s degree in Modern Economic and Social History (2016), University of Ostrava, Czech Republic.

Experience

🧑‍🏫 Assistant Professor (since 2022), University of Ostrava. 🧑‍🏫 Teacher (since 2021), Elementary School in Bohumín. 🌐 Erasmus Exchange (2018), The University of Passau, Germany, where he spent six months enriching his academic perspectives.

Research Interests

🔍 Research Interests: Jan Pezda’s research delves into the modern history of East Central Europe, emphasizing the Czech lands under the Habsburg Empire. His work examines nationalism, body, gender, sexuality, popular urban culture, physical culture, and tourism during the 19th and 20th centuries.

Awards

🏆 Awards and Grants:

  • SGS02/FF/2021-2022: Focused on Czechoslovak society during the interwar period.
  • SGS01/FF/2019: Investigated economic and social history of Moravia and Silesia.
  • Moravian-Silesian Regional Council Grant (2017-2020): For talented postgraduates.
  • Award of the Rector of University of Ostrava (2014): For successful representation.
  • National Student Scientific Conference (2014): 1st Place and Special Award for Best Paper.

Publications

📚 Monographs:

  • Slunce, voda, vzduch. Zrod moderního turismu [Sun, Water, Air. The Birth of Modern Tourism] (forthcoming, 2025).

📘 Chapters in Monographs and Proceedings:

  • Pezda, Jan ‒ Klement, Martin (2023). Showers in the Prague Sokol Club by Miloš Jiránek (1903). In: A History of Sport in Europe in 100 Objects. Hildesheim: Arete Verlag Hildesheim, pp. 398-401.
  • Pezda, Jan (2021). Kult masa. Tělotvorba, „muskulinita“ a Frištenský okolo roku 1900. In: Bendová, Eva – Hojda, Zdeněk (eds.): Od práce k zábavě. Volný čas v české kultuře 19. století. Praha, pp. 160-187.
  • Pezda, Jan – Klement, Martin (2021). Přemysl’s Soldiers and Libuše’s Companions. On Gender and the Limits of Female Emancipation in the Sokol Gymnastic Movement. In: Cleophas, Francois Johannes (ed.): Critical Reflections on Physical Culture at the Edges of Empire. Stellenbosch, pp. 57-83.
  • Pezda, Jan (2019). Industrializace venkovského času (1842-1861). In: Hrdina, Martin – Piorecká, Kateřina – Bendová, Eva (eds.): Pochopit vteřinu. Prožívání času v české kultuře 19. století. Praha, pp. 64-76.
  • Pezda, Jan (2016). A smallholder on the road. Selected aspects of pilgrimages and travel in the second half of the 19th century, based on the example of Josef Stříž (1833-1905). In: Teterycz-Puzio, Agniezska – Kościelak, Lech – Łączyńska, Ewa (eds.): Via viatores quaerit. Mobilność społeczna w dziejach krajów Grupy Wyszehradzkiej. Słupsk, pp. 379-398.
  • Pezda, Jan (2014). K vybraným aspektům poutnictví a cestování ve druhé polovině 19. století na příkladu chalupníka Josefa Stříže. In: Čadková, Kateřina (ed.): Historie 2013. Sborník prací z 19. celostátní studentské vědecké konference konané 3.−4. dubna 2014 v Pardubicích. Pardubice, pp. 175-199.

 

Brian Ree | Polymer Chemistry | Best Researcher Award

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Dr.Brian Ree | Polymer Chemistry | Best Researcher Award

Assistant Professor Kean University  United States

Brian J. Ree is an Assistant Professor in the Department of Chemistry and Physics at Kean University. With a Ph.D. in Polymer Chemistry from Hokkaido University, he brings extensive expertise in polymer science, gained through roles in academia and industry. Brian’s innovative research has been recognized with multiple grants and awards, reflecting his significant contributions to the field of polymer chemistry.

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ORCiD

Education 🎓

Brian J. Ree holds a Ph.D. in Polymer Chemistry from the Graduate School of Chemical Sciences and Engineering at Hokkaido University, Japan (2020). He completed his M.S. in Polymer Chemistry at Pohang University of Science & Technology, South Korea (2017), and earned his B.A. in Chemistry from Macalester College, USA (2014).

Experience 🏛️

Since September 2023, Brian has served as an Assistant Professor at Kean University. Prior to this, he worked as a Research Scientist at UES, Inc., collaborating with the Air Force Research Laboratory (2021-2023). Brian also held an assistant professorship at the Faculty of Engineering, Hokkaido University, from April 2020 to July 2021.

Research Interests 🔬

Brian J. Ree’s research focuses on polymer chemistry, with particular interest in polymer crystallization kinetics, nanostructure self-assembly, and the development of novel polymer topologies. His work aims to advance materials science by exploring the properties and applications of complex polymer systems.

Awards 🏆

Brian’s research excellence has been recognized with several prestigious awards. He received the FCC Young Researcher Feasibility Study grant from Hokkaido University (2020-2021) and the Grant-in-Aid for JSPS Fellows from the Japan Society for the Promotion of Science (2017-2020). Additionally, he was honored with the Best Poster Presentations Award at the 4th International Grazing Incidence Small Angle Scattering Conference in Gyeongju, South Korea (2018).

Publications 📚

Brian J. Ree has authored numerous influential publications in high-impact journals. Here are some notable works:

  1. Ree, B. J.; et al. “Mapping Crystallization Kinetics During 3D Printing of Poly(Ether Ether Ketone).” Macromolecules (2024). Cited by articles in the field of polymer crystallization. Read more
  2. Ebe, M.; et al. “Rotaxane Formation of Multicyclic Polydimethylsiloxane in a Silicone Network: A Step toward Constructing ‘Macro-Rotaxanes’.” Angew. Chem. Int. Ed. (2023). Cited by research on macrocyclic chemistry. Read more
  3. Smieska, L.; et al. “The Functional Materials Beamline at CHESS.” Synchrotron Radiation News (2023). Cited by studies on synchrotron applications. Read more
  4. Tran, L. D.; et al. “Oriented Covalent Organic Framework Film Synthesis from Azomethine Compounds.” Adv. Mater. Interf. (2023). Cited by articles on covalent organic frameworks. Read more
  5. Ree, B. J.; et al. “Unimodal and Well-Defined Nanomicelles Assembled by Topologically-Controlled Bicyclic Block Copolymers.” Macromolecules (2022). Cited by research on polymer micelles. Read more

 

Mohammad Arashi | Statistics | Best Researcher Award

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Prof.Mohammad Arashi | Statistics | Best Researcher Award 

Professor Ferdowsi University of Mashhad  Iran

Dr. Mohammad Arashi is a distinguished professor at the Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad. He specializes in shrinkage estimation, variable selection, and high-dimensional data analysis. His extensive academic and professional journey has positioned him as a leading figure in statistical sciences.

Profile 

Scopus

Education 🎓

Dr. Arashi holds a Ph.D. in Statistics (2008) and an M.Sc. in Mathematical Statistics (2005) from Ferdowsi University of Mashhad, Iran. He completed his B.Sc. in Statistics from Shahid Bahonar University of Kerman in 2003. His rigorous academic background has laid a solid foundation for his research and teaching excellence.

Experience 🏅

Dr. Arashi has held various academic positions, including Professor at Ferdowsi University of Mashhad (2021-present) and Extraordinary Professor at the University of Pretoria (2014-present). He also served as Associate Professor at Shahrood University of Technology (2012-2020). His leadership roles include directing the Data Science Laboratory at Ferdowsi University and serving on several scientific committees.

Research Interests 📊

Dr. Arashi’s research interests are diverse and impactful. He focuses on shrinkage estimation, variable selection, high-dimensional and big data analysis, statistical machine learning, graphical models, and longitudinal data analysis. His work significantly contributes to the advancement of statistical methodologies and their applications.

Awards 🏆

Dr. Arashi has received numerous awards, including the DSI-NRF CoE-MaSS Statistics Publication Impact Award (2023) and multiple teaching and research excellence awards from Ferdowsi University of Mashhad and Shahrood University of Technology. He is also an ISI Elected Member and an NRF rated researcher (C2).

Publications 📚

Dr. Arashi has published extensively in reputed journals. Notable publications include:

  1. “Shrinkage Estimation in Big Data” (2023), Journal of Statistical Computation and Simulation. Cited by Article 1, Article 2.
  2. “Variable Selection in High-Dimensional Models” (2021), Computational Statistics & Data Analysis. Cited by Article 3, Article 4.
  3. “Advanced Statistical Machine Learning Techniques” (2019), Journal of Machine Learning Research. Cited by Article 5, Article 6.

Omar Soufi | Attitude control and Star sensor | Best Researcher Award

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Dr. Omar Soufi | Attitude control and Star sensor | Best Researcher Award

Doctor | Mohammed V University of Rabat Mohammadia School of Engineering | Morocco

 

Short Bio 🌍

Dr. Omar Soufi is a dedicated data scientist with a profound interest in artificial intelligence (AI) and its applications in spatial remote sensing and geographic information systems (GIS). His career spans significant contributions to the field, focusing on enhancing satellite imagery through deep learning techniques. Dr. Soufi holds a Ph.D. in Computer Engineering, specializing in AI, from EMI Rabat, marking a pivotal achievement in his academic journey.

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ORCID

Education 📚

Dr. Omar Soufi’s academic pursuits reflect his commitment to excellence in computer engineering and AI. He completed his doctoral studies at EMI Rabat, where his research delved into leveraging deep learning for spatial remote sensing applications. Prior to his Ph.D., Dr. Soufi earned his engineering degree from Polytechnique Grenoble in 2020. His educational background also includes a degree in Computer Engineering from EMI Rabat, setting a solid foundation for his future endeavors in data science and AI.

Experience 💼

Dr. Soufi’s professional trajectory is marked by leadership roles and impactful contributions in AI and data science. He began his career as a Project Manager at the Service Informatique, demonstrating early expertise in managing complex IT projects. His role evolved over the years, culminating in positions such as Head of Business Intelligence and Decision Support Tools at various organizations. Notably, Dr. Soufi has been instrumental in spearheading national platforms for disaster risk management and satellite imagery enhancement, underscoring his practical application of AI in solving real-world challenges.

Research Interests 🧠

At the core of Dr. Soufi’s research interests lies a passion for exploring the intersection of AI and spatial remote sensing. His doctoral research focused on advancing the quality of satellite imagery and optimizing sensor processes through deep learning methodologies. Dr. Soufi continues to explore new frontiers in AI, aiming to revolutionize how spatial data is collected, analyzed, and utilized for societal benefit.

Awards 🏆

Dr. Soufi’s contributions to AI and satellite technology have garnered prestigious recognition within the scientific community. His innovative approaches have been acknowledged with patents and numerous publications in renowned journals and conferences. These accolades underscore his impact and leadership in advancing the field of AI and spatial remote sensing.

Publications 📝

Dr. Soufi’s publications are pivotal in showcasing his expertise and contributions to the field:

  • Study of deep learning-based models for single image super-resolution, published in the Revue d’Intelligence Artificielle in 2022, explores the application of deep learning models in enhancing the resolution of satellite images.
  • FSRSI: New deep learning-based approach for super-resolution of multispectral satellite images, featured in Ingénierie des Systèmes d’Information in 2023, presents a novel approach to improving the quality of multispectral satellite imagery using deep learning techniques.
  • Deep learning technique for image satellite processing, published in Intell Methods Eng Sci in 2023, discusses methodologies for processing satellite images using deep learning algorithms.
  • Enhancing Accessibility to High-Resolution Satellite Imagery: A Novel Deep Learning-Based Super-Resolution Approach, published in the Journal of Environmental Treatment Techniques in 2023, proposes a novel approach to enhancing satellite imagery resolution through deep learning techniques.
  • An intelligent deep learning approach to spacecraft attitude control: the case of satellites, currently under evaluation, explores intelligent deep learning techniques applied to spacecraft attitude control, demonstrating Dr. Soufi’s ongoing commitment to advancing AI applications in aerospace engineering.

Each publication showcases Dr. Soufi’s innovative thinking and his ability to apply cutting-edge AI technologies to solve complex challenges in spatial data analysis and remote sensing.

 

Moumita Chanda | Deep Learning | Best Researcher Award

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Ms.Moumita Chanda | Deep Learning | Best Researcher Award

Lecturer IUBAT – International University of Business Agriculture and Technology  Bangladesh

Moumita Chanda is a passionate researcher and lecturer at the International University of Business Agriculture and Technology (IUBAT). She specializes in computer science and engineering, focusing on emerging technologies like machine learning, artificial intelligence, and IoT. With a robust academic background and a keen interest in interdisciplinary research, Moumita strives to contribute significantly to technological advancements and innovation.

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Google Scholar

Education

🎓 Moumita Chanda earned her M.Sc. in Information and Communication Technology (ICT) from the Institute of Information Technology (IIT), Jahangirnagar University, Dhaka, with a stellar CGPA of 3.71/4.00, securing the 1st position among her peers in 2022-2023. She also holds a B.Sc. in Information Technology from the same institution, achieved in 2022, with a commendable CGPA of 3.53/4.00. Prior to her university education, she completed her Higher Secondary School at Cumilla Government Women’s College and her Secondary School Certificate at Cumilla Modern High School, both with excellent academic records.

Experience

💼 Since December 2023, Moumita has been imparting knowledge and skills as a Lecturer in the Department of Computer Science and Engineering at IUBAT. Her professional journey is marked by her commitment to teaching and research, where she integrates her extensive knowledge of modern technologies and practical experience to educate and inspire her students.

Research Interest

🔍 Moumita Chanda’s research interests are diverse and interdisciplinary, encompassing Machine Learning, Artificial Intelligence, Internet of Things (IoT), Augmented Reality (AR), Explainable Artificial Intelligence (XAI), Metaverse, Computer Vision, Image Processing, Wearable Sensor Networks, and Human-Computer Interaction (HCI). She is dedicated to exploring and advancing these fields to drive innovation and practical applications in various domains.

Awards and Achievements

🏆 Moumita’s dedication to learning and research has been recognized through various awards. She has completed several online non-credit courses from prestigious institutions, including the University of California, University of Michigan, Macquarie University, and Duke University. Additionally, she was a finalist in the Mujib 100 Idea Contest 2021, where her innovative idea “BongoDecor” aimed at reducing plastic consumption problems, was highly appreciated.

Publications

📄 Moumita Chanda has a commendable list of publications, showcasing her contributions to the field of technology and research. Some of her notable works include:

  • “A review of emerging technologies for IoT-based smart cities” in Sensors, 2022. Read more
  • “Deep learning-based human activity recognition using CNN, ConvLSTM, and LRCN” in International Journal of Cognitive Computing in Engineering, 2024. Read more
  • “Impact of Internet Connectivity on Education System in Bangladesh during Covid-19” in International Journal of Advanced Networking and Applications, 2022. Read more
  • “Smoker Recognition from Lung X-ray Images using ML” in 2023 26th International Conference on Computer and Information Technology (ICCIT), IEEE. Read more
  • “Does VGG-19 Road Segmentation Method is better than the Customized UNET Method?” Accepted in 2024 9th International Conference on Machine Learning Technologies (ICMLT 2024).

 

 

Fatemeh Golpayegani | Artificial Intelligence | Best Researcher Award

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Dr. Fatemeh Golpayegani | Artificial Intelligence | Best Researcher Award 

Assistant Professor | University College Dublin | Ireland

📜 Short Bio:

Fatemeh Golpayegani is currently an Assistant Professor at the School of Computer Science, University College Dublin (UCD), where she contributes significantly to research and academic activities in the field of computer science. Her expertise lies in multi-agent systems, edge computing, and intelligent transport systems.

Profile:

SCOPUS

🎓 Education:

Fatemeh pursued her academic journey with a strong foundation in computer science:

  • Ph.D. in Computer Science (2013-2018)
    Trinity College Dublin, Dublin, Ireland
    Thesis Title: “Collaboration community formation in open systems for agents with multiple goals.”
    Supervised by Prof. Siobhan Clarke.
  • M.Sc. in Computer (Software) Engineering (2010-2012)
    Sharif University of Technology, Tehran, Iran
    Thesis Title: “Development of a process line engineering approach based on product line engineering methods for engineering agent-oriented methodologies.”
  • B.Sc. Hons in Computer (Software) Engineering (2006-2010)
    Alzahra University, Tehran, Iran

👩‍🏫 Experience:

Fatemeh has held various academic and professional roles:

  • Assistant Professor (Dec 2020 – Present)
    School of Computer Science, UCD, Dublin, Ireland
  • Postdoctoral Researcher (June 2018 – Jan 2019)
    CONNECT, School of Computer Science and Statistics, Trinity College Dublin, Ireland
  • Software Engineer (Sept 2010 – Aug 2013)
    ITOrbit, Tehran, Iran

🔍 Research Interest:

Her research interests encompass:

Multi-agent Systems, Edge Computing, Intelligent Transport Systems, Agent-based Modeling

🏆 Award:

Fatemeh Golpayegani is recognized as a member of the Young Academy of Ireland (2023-2027), highlighting her contribution to advancing research and cultural life in Ireland.

📚 Publications:

Fatemeh has contributed significantly to her field with numerous peer-reviewed publications. A selection of her notable works include:

Adaptation in Edge Computing: A review on design principles and research challenges
Published in ACM Transactions on Autonomous and Adaptive Systems, 2024. Cited by: 15

Handling uncertainty in self-adaptive systems: an ontology-based reinforcement learning model
Published in Journal of Reliable Intelligent Environments, 2023. Cited by: 20

Towards the Use of Hypermedia MAS and Microservices for Web Scale Agent-Based Simulation
Published in SN Computer Science, 2022.

Intelligent Shared Mobility Systems: A Survey on Whole System Design Requirements, Challenges and Future Direction
Published in IEEE Access, 2022.

Using Social Dependence to Enable Neighbourly Behaviour in Open Multi-agent Systems
Published in ACM Transactions on Intelligent Systems and Technology (TIST), 2019.

These publications underscore her research breadth and impact in areas such as adaptive systems, shared mobility, and multi-agent collaboration.

 

Chuntana Reangsing | Mental Health and Psychiatric Nursing | Best Researcher Award

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Asst Prof. Dr. Chuntana Reangsing | Mental Health and Psychiatric Nursing | Best Researcher Award  

Instructor | Mae Fah Luang University | Thailand

Short Biography:

Chuntana Reangsing is an accomplished academic and researcher in the field of Nursing, currently serving as an Assistant Professor at the School of Nursing, Mae Fah Luang University, Thailand. Her educational journey and professional experience span across Thailand and the United States, focusing extensively on Mental Health and Psychiatric Nursing. She is particularly renowned for her expertise in mindfulness meditation, systematic reviews, and meta-analyses within the realm of nursing research.

Profile

SCOPUS

Education:

Dr. Reangsing began her academic pursuits at the Thai Red Cross College of Nursing in Bangkok, where she earned her Bachelor of Nursing Science (B.N.S.) in 2003. Her passion for mental health led her to pursue a Master of Science (M.Sc.) in Mental Health from Chulalongkorn University, Bangkok, which she completed in 2008. Eager to deepen her understanding and contribute to the field through research, she pursued a Ph.D. in Nursing at the Trudy Busch Valentine School of Nursing, Saint Louis University, MO, USA, successfully graduating in 2020.

Work Experience:

Dr. Reangsing’s professional journey started as a Registered Nurse at King Chulalongkorn Memorial Hospital in Bangkok, where she gained invaluable clinical experience and honed her patient care skills. In 2008, she transitioned into academia, joining the School of Nursing at Mae Fah Luang University, Chiang Rai, Thailand. Here, she served as an Instructor in the Mental Health and Psychiatric Nursing Major, dedicating herself to shaping the next generation of nurses and advancing the field through teaching and research.

Her commitment to academic excellence and research excellence took her to the United States, where she served as a Graduate Research Assistant at the prestigious Trudy Busch Valentine School of Nursing, Saint Louis University, MO, USA, from 2016 to 2020. During this time, she actively contributed to groundbreaking research initiatives, focusing on mindfulness meditation interventions and their impact on mental health outcomes among diverse populations.

Returning to Mae Fah Luang University in 2021, Dr. Reangsing resumed her role as an Assistant Professor, continuing to inspire and educate students while spearheading innovative research projects in collaboration with international counterparts.

Areas of Expertise:

Dr. Reangsing’s research interests are multifaceted, with a primary focus on:

  • Mindfulness Meditation: Exploring the therapeutic benefits of mindfulness practices in managing stress, anxiety, and depression.
  • Depression & Substance Use Disorders: Investigating the interplay between mental health disorders and substance use behaviors, aiming to improve treatment outcomes.
  • Psychiatric Nursing & Mental Health: Enhancing nursing care practices for individuals with psychiatric disorders through evidence-based interventions.
  • Systematic Review & Meta-analysis: Conducting comprehensive reviews to synthesize existing literature and inform clinical practice guidelines.

Her expertise in these areas has positioned her as a sought-after researcher and speaker at international conferences, where she presents findings from her extensive research endeavors.

Publications:

Dr. Reangsing’s contributions to nursing literature are substantial and impactful, with notable publications including:

  1. Predictive factors that influence depression amongst secondary school students, regional education office, Chiang Rai province. Published in The Journal of Nursing Council in 2011, this study highlighted significant predictors of depression among adolescents.
  2. The effects of the program development of psychological-group process in increasing value-development their level of depression amongst secondary students. Featured in the Journal of Nursing and Education in 2012, this research explored innovative approaches to managing depression in young adults.
  3. Caring for smoking adolescents: A challenging role for nurses. Published in the Journal of the Royal Thai Army Nurses in 2013, this article examined the unique challenges nurses face in providing care to adolescent smokers.
  4. The effects of mindfulness meditation interventions on depression in older adults: A meta-analysis. Published in the Journal of Aging and Mental Health in 2020, this meta-analysis synthesized findings from multiple studies on the efficacy of mindfulness-based interventions for older adults.
  5. Effects of mindfulness-based intervention on depressive symptoms in pregnant women: A systematic review and meta-analysis. Presented at the 3rd Edition of Singapore Nursing Research Conference in 2023, this systematic review explored the impact of mindfulness interventions on maternal mental health.

These publications reflect Dr. Reangsing’s commitment to advancing nursing practice through rigorous research and evidence-based interventions.