Aram Papoyan | Data Analysis Innovation | Best Researcher Award

Posted on 18/10/202418/10/2024 by ScienceFather

Prof. Aram Papoyan | Data Analysis Innovation | Best Researcher Award

Prof. Aram Papoyan at Institute for Physical Research, NAS of Armenia, Armenia

👨‍🎓 Profiles

🌟 Summary

Prof. Aram Papoyan is a distinguished expert in Laser Physics and Optics, known for his extensive research and leadership at the Institute for Physical Research in Armenia. He has played a pivotal role in international scientific collaborations.

🎓 Education

He earned his Master in Radiophysics from Yerevan State University in 1982, followed by a PhD in Optics from the Institute for Physical Research, NAS Armenia in 1991. In 2005, he completed his DSc in Laser Physics.

💼 Professional Experience

Prof. Papoyan has served as Director of the Institute for Physical Research since 2006 and heads the Laboratory of Optics. His previous roles include Vice-Director and Senior Researcher across various positions since 1986. He also supervises PhD students at the Russian-Armenian University.

🏆 Accolades and Recognition

He has received the Anania Shirakatsi Medal (2013) and the Galileo Galilei Award (2015) from the International Commission for Optics. Additionally, he was honored as an OSA Advocate of Optics in 2019 and holds multiple awards for contributions to physics.

🔬 Research Interests

Prof. Papoyan focuses on Laser Physics, Atomic Physics, and Quantum Optics, with interests in coherent population trapping, magneto-optical effects, and advanced optical imaging techniques, as well as laser-induced reactions and molecular spectroscopy.

📖 Top Noted Publications

Scanning technique for direct optical transmission imaging of highly-scattering objects

- Authors: Svetlana Shmavonyan, Aleksandr Khanbekyan, Marina Movsisyan, Aram Papoyan
- Journal: Optics and Lasers in Engineering
- Year: 2025

Electromagnetically induced transparency with magnetically induced ΔF = 0, mF = 0 → mF = 0 probe transition

- Authors: Armen Sargsyan, David Sarkisyan, Aram Papoyan
- Journal: Laser Physics
- Year: 2024

Mirrorless Lasing: A Theoretical Perspective

- Authors: A. Ramaswamy, J. Chathanathil, D. Kanta, E. Klinger, A. Papoyan, S. Shmavonyan, A. Khanbekyan, A. Wickenbrock, D. Budker, S. A. Malinovskaya
- Journal: Optical Memory and Neural Networks
- Year: 2023

Peculiarities of Fluorescence of Rb Atomic Vapors Contained in a cell with an anti-relaxation coating

- Authors: Aram Papoyan
- Journal: Optics and Spectroscopy
- Year: 2023

Wide range linear magnetometer based on a sub-microsized K vapor cell

- Authors: M. Auzinsh, A. Sargsyan, A. Tonoyan, C. Leroy, R. Momier, D. Sarkisyan, A. Papoyan
- Journal: Applied Optics
- Year: 2022

Cancellation of D1 line transitions of alkali-metal atoms by magnetic-field values

- Authors: Artur Aleksanyan, Rodolphe Momier, Emil Gazazyan, Aram Papoyan, Claude Leroy
- Journal: Physical Review A
- Year: 2022

Liu Yang | Bioinformatics | Best Researcher Award

Posted on 10/10/202410/10/2024 by ScienceFather

Prof Dr. Liu Yang | Bioinformatics | Best Researcher Award

Prof Dr. Liu Yang at Department of General Surgery, Jiangsu Cancer Hospital, China

👨‍🎓 Profile

Scopus Profile

👨‍⚕️ Current Position

Prof. Dr. Yang Liu is a Chief Physician and Associate Professor, serving as the Deputy Head of General Surgery at Jiangsu Cancer Hospital and the Head of Colorectal Surgery at Nanjing Medical University.

📜 Summary

Yang Liu is a prominent figure in colorectal surgery, also acting as a Master’s Supervisor and visiting overseas researcher at Thomas Jefferson University’s BluConner Hospital. His work has earned him multiple accolades in cancer research.

🎓 Education

Yang has completed his medical degree and advanced training in colorectal surgery, although specific institutions are not detailed here.

🏥 Professional Experience

With a focus on complex minimally invasive surgeries, he performs over 150 advanced procedures annually and actively participates in various national and provincial medical associations.

🔬 Research Interests

His research primarily explores ncRNA genomics in relation to colorectal cancer progression and metastasis, alongside developing innovative surgical techniques.

💡 Patents

Yang holds several patents, including:

2024: Combination of Scutellarein for colorectal cancer treatment.
2023: Multi-angle puncture holder.
2020: Circ-0000423 for colorectal cancer drug development.
2019: Surgical retractor for lower abdominal tumors.

🏆 Awards

He has received notable awards such as:

2021: 2nd Prize for New Medical Technology in Jiangsu for epigenetic fusion in colorectal cancer.
2019: 2nd Prize for his study on LINC00152 in colorectal cancer.

📖 Top Noted Publications

LUCAT1 inhibits ferroptosis in bladder cancer by regulating the mRNA stability of STAT3

Authors: Cao, Y., Zou, Z., Wu, X., Hu, J., Yang, L.
Journal: Gene
Year: 2024

Magnetic resonance imaging-based lymph node radiomics for predicting the metastasis of evaluable lymph nodes in rectal cancer

Authors: Ye, Y.-X., Yang, L., Kang, Z., Du, M., Li, Z.-X.
Journal: World Journal of Gastrointestinal Oncology
Year: 2024

Emerging Role of ERBB2 in Targeted Therapy for Metastatic Colorectal Cancer: Signaling Pathways to Therapeutic Strategies

Authors: Wang, N., Cao, Y., Si, C., Bao, J., Yang, L.
Journal: Cancers
Year: 2022

FBXW7 and Its Downstream NOTCH Pathway Could be Potential Indicators of Organ-Free Metastasis in Colorectal Cancer

Authors: Li, D., Jiang, S., Zhou, X., Sun, Y., Yang, L.
Journal: Frontiers in Oncology
Year: 2022

Anal preservation on the psychology and quality of life of low rectal cancer

Authors: Mei, F., Yang, X., Na, L., Yang, L.
Journal: Journal of Surgical Oncology
Year: 2022

Richard Ingwe Chuy | Predictive Analytics | Best Researcher Award

Posted on 03/10/202403/10/2024 by ScienceFather

Dr. Richard Ingwe Chuy | Predictive Analytics | Best Researcher Award

Dr. Richard Ingwe Chuy at Programme National de Lutte contre le Sida, Congo, Democratic Republic of the

Professional Profile👨‍🎓

Orcid Profile

👤 Summary

Richard Ingwe Chuy is a Congolese expert in methodology and statistics, specializing in biomedical research and data science. With over eight years of experience, he provides consultancy services and training in research design and statistical analysis, particularly in public health and epidemiology.

🎓 Education

Doctorant en Technologie de l’Information, Spécialité Science des Données
Bircham International University, Espagne & Delaware (Mai 2022)
Master 2 en Méthodologie et Statistiques en Recherche Biomédicale
Université Paris Saclay, France (2020/2021)
Master 1 en Méthodes en Santé Publique
Université Paris Saclay, France (2019/2020)
Diplôme en Médecine Générale
Université de Lubumbashi (UNILU), République Démocratique du Congo (2013)

💼 Professional Experience

Richard is currently a Consultant Indépendant, providing expertise in methodology and statistics to various organizations. He facilitates training on data analysis and research design. Previously, he worked at the Programme National de Lutte contre le VIH/SIDA et les IST in the Ministry of Health, DRC, and has experience in clinical medicine in Lubumbashi.

🔬 Research Interests

His research interests include methods in epidemiology and clinical studies, predictive analysis, and qualitative research. Richard is also focused on gender, human rights, and vulnerability reduction in public health contexts.

🤝 Professional Affiliations

Richard is a member of several professional organizations, including the International Aids Society (IAS), AFRAVIH, and the CQUIN network.

💻 Technical Skills

He possesses advanced skills in Microsoft Office, R, Python, SAS, and qualitative analysis software (Nvivo, QDA Miner Lite), as well as experience in electronic questionnaire design (CoboCollect, ODK).

Top Noted Publications 📖

Unsuppressed HIV Viral Load and Related Factors in Patients Receiving Antiretroviral Treatment in Tanganyika Province, Democratic Republic of Congo (DRC)

Authors: Michel Luhembwe, Richard Ingwe, Aimée Lulebo, Dalau Nkamba, John Ditekemena
Journal: BioMed
Volume: 4
Issue: 3
Pages: 27
Year: 2024

Zeina Youssef | Data Science | Best Researcher Award

Posted on 09/09/202409/09/2024 by ScienceFather

Mrs. Zeina Youssef | Data Science | Best Researcher Award

Mrs. Zeina Youssef at Ecole Centrale de Lyon, France

👨‍🎓 Profile

Scopus

🌟 Early Academic Pursuits

Zeina Youssef embarked on her academic journey with a strong foundation in materials chemistry, starting with her Master’s degrees in Refining and Hydrocarbon Technology from the Lebanese University. Her early research during a Master 2 internship at the Applied Chemistry Laboratory involved the synthesis, immobilization, and characterization of silicic mesoporous materials under the supervision of Dr. Mohamad El-Eter. This experience was pivotal, providing Zeina with critical skills in material synthesis and laying the groundwork for her future research endeavors.

🛠️ Professional Endeavors

Zeina’s professional career was significantly shaped during her PhD at the Chemistry Laboratory of ENS de Lyon from September 2019 to December 2022. Under the guidance of Pr. Laurent Bonneviot and Dr. Mohamad El-Eter, she focused on the characterization, adsorption, and stability of chlorohydroxoaurate(III) anions in titanium-modified hexagonal mesoporous silicas. Her work included engineering mesoporous silicic materials, controlling porous size, and utilizing microwave synthesis. Zeina also played a key role in teaching practical chemistry at the M1 level and supervising a Master 2 student. Her presentations at international conferences and a research contract with L’Oréal further highlight her professional achievements and industry collaboration.

🔬 Contributions and Research Focus

Zeina’s research has made significant contributions to the field of materials chemistry, particularly in the development of titanium-modified mesoporous materials. Her work involved advanced characterization techniques such as UV-Visible spectroscopy, infrared spectroscopy, and X-ray diffraction. One of her notable contributions is the publication on “Revisited UV-spectra of chlorohydroxoaurate anions” in Spectrochimica Acta Part A, which underscores her commitment to advancing the understanding of chemical systems and materials stability.

🏅 Accolades and Recognition

Throughout her career, Zeina has received recognition for her innovative research and contributions to materials chemistry. Her participation in international congresses and national symposiums, coupled with her role in organizing the French Chemists Tournament, reflects her growing influence in the scientific community. Although her career is still developing, her achievements demonstrate a strong foundation for future accolades and impact in her field.

🌍 Impact and Influence

Zeina’s work in materials chemistry has had a notable impact, particularly in the areas of material stability and advanced characterization. Her research on titanium-modified mesoporous silicas contributes to both academic knowledge and practical applications, influencing how materials are designed and utilized. Her innovative approaches and thorough analyses drive forward advancements in material science and have the potential to address key challenges in the industry.

🚀 Legacy and Future Contributions

Looking ahead, Zeina Youssef is well-positioned to continue making significant contributions to materials chemistry. Her expertise and innovative research set the stage for future advancements and technological developments. With a commitment to both research and education, Zeina is likely to leave a lasting legacy in the field, inspiring future scientists and continuing to drive progress in material science.

📖 Publications

Revisited UV-spectra of chlorohydroxoaurate anions

Authors: Youssef, Z., El Eter, M., Albela, B., Bonneviot, L.
Journal: Spectrochimica Acta – Part A: Molecular and Biomolecular Spectroscopy
Year: 2025

Mohammad Reza Ahangari | Big Data Analytics | Best Researcher Award

Posted on 09/09/202409/09/2024 by ScienceFather

Mr. Mohammad Reza Ahangari | Big Data Analytics | Best Researcher Award

Mr. Mohammad Reza Ahangari at ministry of education, Iran

👨‍🎓 Profile

Scopus

🧠 Early Academic Pursuits

Dr. Mohammad Reza Ahangari’s journey into the realm of mathematics began with his undergraduate studies at Isfahan University of Technology, where he pursued a Bachelor of Applied Mathematics from 2003 to 2008. This foundational education provided him with a solid grounding in mathematical theories and applications. Following his undergraduate studies, Dr. Ahangari continued his academic journey at Azad University in Mashhad, Razavi Khorasan, earning a Master of Applied Mathematics between 2009 and 2012. His master’s program allowed him to delve deeper into complex mathematical concepts and research methodologies. His quest for knowledge did not end there; he embarked on a PhD in Applied Mathematics at Payam-e-Noor University, which he pursued from 2016 to 2024. His doctoral research focused on advanced mathematical models and optimization techniques, further cementing his expertise in the field.

💼 Professional Endeavors

Since September 2009, Dr. Ahangari has been a dedicated Mathematics Teacher with the Ministry of Education in Mashhad, Razavi Khorasan, Iran. Over the past 15 years, he has demonstrated a profound commitment to fostering a positive learning environment. His teaching approach is characterized by innovative lesson plans that cater to diverse learning styles, ensuring that all students have the opportunity to excel. Dr. Ahangari has consistently utilized various teaching methodologies and educational technologies to enhance student engagement and understanding of complex mathematical concepts. His ability to create engaging and effective learning experiences has made him a respected figure in the educational community.

🔬 Contributions and Research Focus

Dr. Ahangari’s research has made significant contributions to the field of applied mathematics. His work includes the development and application of advanced mathematical models and optimization techniques. Notably, he co-authored the paper “A Generalized Optimization-Based Generative Adversarial Network,” published in Expert Systems with Applications in 2024. This research explores innovative approaches to optimization in generative adversarial networks, demonstrating Dr. Ahangari’s expertise in integrating mathematics with cutting-edge technology. Additionally, his work on fuzzy-based structural similarity indices in meteorology, as detailed in his paper “Utilizing Generative Adversarial Networks Using a Category of Fuzzy-Based Structural Similarity Indices for Constructing Datasets in Meteorology,” showcases his ability to apply mathematical theories to real-world problems. His research contributions reflect a deep understanding of both theoretical and practical aspects of mathematics.

🏆 Accolades and Recognition

Dr. Ahangari’s dedication to mathematics education and research has been recognized through various accolades. He earned his Mathematics Teacher Certification in 2024, a testament to his expertise and commitment to the field. In 2023, he participated in professional development programs focused on advancing mathematics education, further highlighting his commitment to staying at the forefront of educational practices. His research contributions have also been acknowledged through publications in esteemed journals and presentations at significant seminars, such as the 6th Seminar on Control & Optimization in Birjand, Iran.

🌟 Impact and Influence

Dr. Ahangari’s impact on mathematics education extends beyond his teaching role. His innovative curriculum development and creation of interactive learning modules have significantly enhanced the educational experience for his students. His commitment to nurturing critical thinking and problem-solving skills in students has prepared them for future academic and professional challenges. By integrating advanced mathematical concepts with practical applications, Dr. Ahangari has influenced both his students and the broader educational community.

🌱 Legacy and Future Contributions

Looking forward, Dr. Ahangari aims to continue his contributions to both mathematics education and research. His ongoing projects include the development of a comprehensive math curriculum guide and the creation of interactive math learning modules. These initiatives reflect his dedication to enhancing educational resources and methodologies. As he continues to advance his research and educational practices, Dr. Ahangari is poised to leave a lasting legacy in the field of mathematics. His work not only advances mathematical knowledge but also inspires future generations of students and educators.

📖 Publications

Manganese doped La0.8Ba0.2FeO3 perovskite oxide as an efficient electrode material for supercapacitor

- Authors: Asadi, F., Ahangari, M., Mostafaei, J., Asghari, E., Niaei, A.
- Journal: Journal of Alloys and Compounds
- Year: 2024

A generalized optimization-based generative adversarial network

- Authors: Farhadinia, B., Ahangari, M.R., Heydari, A., Datta, A.
- Journal: Expert Systems with Applications
- Year: 2024

Utilizing Generative Adversarial Networks Using a Category of Fuzzy-Based Structural Similarity Indices for Constructing Datasets in Meteorology

- Authors: Farhadinia, B., Ahangari, M.R., Heydari, A.
- Journal: Mathematics
- Year: 2024

Effect of Pd doping on the structural properties and supercapacitor performance of La0.8Sr0.2Cu0.7Mn0.3O3 and La0.8Sr0.2Cu0.4Mn0.6O3 as electrode materials

- Authors: Ahangari, M., Mostafaei, J., Zakerifar, H., Asghari, E., Niaei, A.
- Journal: Electrochimica Acta
- Year: 2023

Machine learning-based life cycle optimization for the carbon dioxide methanation process: Achieving environmental and productivity efficiency

- Authors: Sayyah, A., Ahangari, M., Mostafaei, J., Nabavi, S.R., Niaei, A.
- Journal: Journal of Cleaner Production
- Year: 2023

Investigation of structural and electrochemical properties of SrFexCo1-xO3-δ perovskite oxides as a supercapacitor electrode material

- Authors: Ahangari, M., Mostafaei, J., Sayyah, A., Delibas, N., Niaei, A.
- Journal: Journal of Energy Storage
- Year: 2023

Application of SrFeO3 perovskite as electrode material for supercapacitor and investigation of Co-doping effect on the B-site

- Authors: Ahangari, M., Mahmoodi, E., Delibaş, N., Asghari, E., Niaei, A.
- Journal: Turkish Journal of Chemistry
- Year: 2022

Gebeyehu Belay Gebremeskel | Machine Learning | Editorial Board Member

Posted on 04/09/202404/09/2024 by ScienceFather

Assoc Prof Dr. Gebeyehu Belay Gebremeskel | Machine Learning | Editorial Board Member

Assoc Prof Dr. Gebeyehu Belay Gebremeskel at Bahir Dar University, Ethiopia

👨‍🎓 Profiles

Scopus

🌟 Early Academic Pursuits

Dr. Gebeyehu Belay Gebremeskel’s academic journey began at Alemaya University in Dire Dawa, Ethiopia, where he earned his Bachelor of Science in Computer Science in July 1991. His quest for advanced knowledge led him to London South Bank University in England, where he completed a Master of Science in Advanced Information Technology in January 2001. Under the guidance of Professor Ddembe Williams, he delved into System Dynamics Modeling and Decision Science. Dr. Gebremeskel’s pursuit of deeper expertise continued with a Ph.D. from Chongqing University in China, culminating in June 2013. His dissertation, supervised by Professor Zhongshi He, focused on the integration of Data Mining Algorithms and Multi-Agent Systems with Business Intelligence.

💼 Professional Endeavors

Dr. Gebeyehu’s professional career is distinguished by his impactful roles at Bahir Dar University’s Institute of Technology. As an Associate Professor, he has been instrumental in program accreditation, international conference organization, and curriculum development. His expertise has been further honed through a postdoctoral fellowship at Chongqing University’s College of Automation, focusing on machine learning, big data analytics, and intelligent systems. His commitment to excellence is reflected in his contributions to academic and research training, including programs in GIS, web design, and networking.

🔬 Contributions and Research Focus

Dr. Gebeyehu’s research spans several cutting-edge areas within computer science and engineering. His work in Big Data Analytics emphasizes optimization and precision in performance. In Artificial Intelligence and Machine Learning, he explores neural networks, genetic algorithms, and support vector machines, contributing to advancements in intelligent systems and fault diagnosis. His research in Data Mining includes pattern recognition, outlier detection, and intelligent data systems. Additionally, his focus on Intelligent Systems and Agent Technology involves developing algorithms for multi-agent systems and enhancing system intelligence.

🏆 Accolades and Recognition

Dr. Gebeyehu has received significant recognition for his contributions to academia and research. His roles as conference co-chair and technical program chair for international events like ICAST 2018, 2019, and 2020 highlight his leadership and influence in the field. His research publications in renowned journals, such as the International Journal of Data Science and Analytics, further underscore his impact. His work on big data analytics and neural network models has been widely acknowledged and respected within the academic community.

🌍 Impact and Influence

Dr. Gebeyehu’s influence extends across both academic and practical domains. His research has advanced knowledge in intelligent transportation systems and smart environments. His curriculum development and program accreditation efforts at Bahir Dar University have elevated the quality of education and research opportunities. By mentoring postgraduate students and leading international workshops, Dr. Gebeyehu has significantly impacted the field of computer science and engineering, shaping the future of many students and researchers.

🌟 Legacy and Future Contributions

Dr. Gebeyehu Belay Gebremeskel’s legacy is marked by his pioneering research, extensive teaching experience, and leadership in academia. His contributions to machine learning, big data analytics, and intelligent systems have set a high standard in the field. As he continues to explore new research avenues and educational initiatives, Dr. Gebeyehu is poised to make further advancements and impact future generations of researchers and practitioners. His dedication ensures that his influence will be felt long into the future.

📖 Publications

Architecture and optimization of data mining modeling for visualization of knowledge extraction: Patient safety care

François Guillard | Data Science | Best Researcher Award

Posted on 03/09/202403/09/2024 by ScienceFather

Dr. François Guillard | Data Science | Best Researcher Award

Doctorate at The University of Sydney, Australia

👨‍🎓 Profiles

Academic Background 🎓

François Guillard was born in Poitiers, France, in 1987. His educational journey began with a Bachelor’s Degree in Science of Matter – Physics and a Master’s Degree in Fundamental Physics from École Normale Supérieure of Lyon. He completed his PhD in Physics at Aix-Marseille University in 2013, focusing on drag and lift forces in granular media. He furthered his qualifications with a Graduate Certificate in Educational Studies (Higher Education) from The University of Sydney.

Professional Experience 🛠️

François is currently a Senior Lecturer in Geotechnical Engineering at The University of Sydney, where he also serves as Director of Postgraduate Studies and IT. His previous roles include Lecturer in Geotechnical Engineering and Post-doctoral Researcher at the same institution. He has been actively involved in academic integrity, radiation safety, and various scientific review committees.

Research Contributions 🔬

François’s research spans a range of topics in granular media and geomechanics. His recent publications include studies on the modeling of comminution in rotary mills, the use of X-ray techniques in froth flotation, and the impact of shaped boundaries on brittle porous media. His work has been published in journals such as Granular Matter, Physical Review E, and Minerals Engineering.

Conference Presentations & Invitations 🎤

François has been a keynote and invited speaker at numerous international conferences and workshops. Notable appearances include the 8th International Conference on Discrete Element Methods and the Image is Everything workshop at the Lorentz Center. His talks often focus on advancements in granular science and geomechanics.

Fundings 💵

He has secured various research and education grants, including ARC funding for novel granular stress sensors and projects related to chemical degradation in brittle geomaterials. François has also been involved in consulting projects, such as the upgrade of slope reinforcement software.

Teaching 📖

François teaches both undergraduate and postgraduate courses at The University of Sydney, including Numerical Methods in Civil Engineering and Geotechnical Engineering. He also supervises capstone theses and contributes to PhD programs with courses on particle mechanics and discrete element methods.

Computing Skills 💻

François is skilled in several programming languages, including C++, C, Matlab, and Python. He has expertise in software development for geotechnical applications and is familiar with tools like Liggghts and various specialized software for data analysis and visualization.

Personal Interests 🎸🔭

Outside of his professional life, François enjoys hiking, playing classical guitar, and amateur astronomy. He has a passion for electronic and analog photography and is actively involved in software development.

📖 Publications

Heterarchical modelling of comminution for rotary mills: part I—particle crushing along streamlines

- Authors: Bisht, M.S., Guillard, F., Shelley, P., Marks, B., Einav, I.
- Journal: Granular Matter
- Year: 2024

Heterarchical modelling of comminution for rotary mills: part II—particle crushing with segregation and mixing

- Authors: Bisht, M.S., Guillard, F., Shelley, P., Marks, B., Einav, I.
- Journal: Granular Matter
- Year: 2024

Novel application of X-ray characterisation techniques in froth flotation for the study of bubble clusters

- Authors: Bournival, G., Kim, Y.C., Shah, I., Guillard, F., Ata, S.
- Journal: Minerals Engineering
- Year: 2024

Behavioural zone identification in rotary mills

- Authors: Guillard, F., Shelley, P., Einav, I.
- Journal: Minerals Engineering
- Year: 2024

Influence of shaped boundaries on propagating compaction bands in brittle porous media

- Authors: Riley, D.M., Valdes, J.R., Einav, I., Guillard, F.
- Journal: Physical Review E
- Year: 2023

A scaling law for the length of granular jumps down smooth inclines

- Authors: Escobar, A., Guillard, F., Einav, I., Faug, T.
- Journal: Journal of Fluid Mechanics
- Year: 2023

Ben Harkin | Data Analysis Innovation | Best Researcher Award

Posted on 30/08/202430/08/2024 by ScienceFather

Dr. Ben Harkin | Data Analysis Innovation | Best Researcher Award

Doctorate at Manchester Metropolitan University, United Kingdom

👨‍🎓 Profiles

Orcid Profile
Scopus Profile

👨‍🔬 Summary

Dr. Ben Harkin is an esteemed cognitive psychologist known for his work in selective reviews, meta-analyses, negative cognitions and behaviors, and behavior change through validated interventions. He earned his PhD in 2012 with a dissertation titled “A Cognitive Examination of Compulsive Checkers’ Working Memory and Inhibitory Performance,” leading to 7 peer-reviewed publications. His recent meta-analysis research employs a novel multidimensional approach to data extraction and analysis, offering new insights into key cognitive aspects of psychological phenomena.

🏆 Awards and Projects

Dr. Harkin was honored with an ESRC Future Leaders Research Award in 2013, focusing on developing interventions for individuals avoiding debt. His project involved creating and applying interventions in a laboratory setting to enhance financial decision-making for loan seekers at a local credit union in Chesterfield. This multidisciplinary effort required collaboration with academics, research assistants, stakeholders, and those in debt. Additionally, Dr. Harkin received a BA Grant alongside the ESRC award, which involved supervising research assistants and post-doctoral researchers, working within diverse communities, and disseminating results to both lay and academic audiences.

🎓 Education

PhD in Psychology (2012): “A Cognitive Examination of Compulsive Checkers’ Working Memory and Inhibitory Performance,” University of Glasgow.
MSc in Research Methods of Psychological Science (Distinction) (2008): “How Checking Breeds Doubt: Reduced Performance in a Simple Working Memory Task,” Behaviour Research and Therapy.
MA in Psychology (First Class: Top Student) (2007): “Implicit Awareness of Ambiguity: A Role in the Development of Obsessive-Compulsive Disorder,” Behaviour Research and Therapy.
MA in Education (Distinction) (2022): “The Impact of Physical, Mental, Social and Emotional Dimensions of Digital Learning Spaces on Student’s Depth of Learning,” International Journal of Management and Applied Research.

📚 Key Publications

Harkin, B., & Yates, A. (2024). “From Cognitive Function to Treatment Efficacy in Obsessive–Compulsive Disorder: Insights from a Multidimensional Meta-Analytic Approach,” Journal of Clinical Medicine.
Harkin, B., Perrson, S., Yates, A., Ainara, J., & Kessler, K. (2023). “Top-Down and Bottom-Up Contributions to Memory Performance in OCD: A Multilevel Meta-Analysis with Clinical Implications,” Journal of Psychopathology and Clinical Science.
Harkin, B. (2017). “Improving Financial Management via Contemplation: Novel Interventions and Findings in Laboratory and Applied Settings,” Frontiers in Psychology.
Perrson, S., Yates, A., Kessler, K., & Harkin, B. (2021). “Modelling a Multi-Dimensional Model of Memory Performance in Obsessive-Compulsive Disorder: A Multi-Level Meta-Analytic Review,” Journal of Psychopathology and Clinical Science.
Harkin, B., Webb, T., Chang, B., Benn, Y., Sheeran, P., Connor, M., & Prestwich, J. (2016). “Does Monitoring Goal Progress Promote Goal Attainment? A Meta-Analysis of the Experimental Evidence,” Psychological Bulletin.
Harkin, B. & Kessler, K. (2011). “The role of Working Memory in Compulsive Checking and OCD: A Systematic Classification of 58 Experimental Findings,” Clinical Psychology Review.

💰 Key Grants

Primary Investigator: ESRC Future Leaders Award, examining insights from clinical OCD to understand debt avoidance and designing interventions.
Primary Investigator: British Academy grant, “How Scientific Theories Disappear Down the ‘YouTube Rabbit Hole,’” exploring why people believe anti-science messages and proposing interventions and policies.

📖 Publications

From Cognitive Function to Treatment Efficacy in Obsessive–Compulsive Disorder: Insights from a Multidimensional Meta-Analytic Approach

- Author: Ben Harkin, Alan Yates
- Journal: Journal of Clinical Medicine
- Year: 2024

Contamination-Focussed Vignettes as an Analogue of Infectious Pandemics: An Experimental Validation using the State Disgust and Anxiety Responses in OCD

- Author: Ben Harkin, Lucy E. Davies, Alan Yates
- Journal: Psychological Reports
- Year: 2024
- DOI: 10.1177/00332941241238208

Top-down and Bottom-up Contributions to Memory Performance in OCD: A Multilevel Meta-Analysis with Clinical Implications

- Author: Ben Harkin, Sofia Persson, Alan Yates, Ainara Jauregi, Klaus Kessler
- Journal: Journal of Psychopathology and Clinical Science
- Year: 2023

Student Experiences of Assessment and Feedback in the National Student Survey: An Analysis of Student Written Responses with Pedagogical Implications

- Author: Ben Harkin, Aspasia Eleni Paltoglou, Khizra Tariq, Maggie Watkin, Shokaib Ashfaq, Alan Yates, Carly Jacobs
- Journal: International Journal of Management and Applied Research
- Year: 2022

The Impact of Physical, Mental, Social and Emotional Dimensions of Digital Learning Spaces on Student’s Depth of Learning: The Quantification of an Extended Lefebvrian Model

- Author: Ben Harkin
- Journal: International Journal of Management and Applied Research
- Year: 2022

Seyedeh Azadeh Fallah Mortezanejad | Predictive Analytics | Best Researcher Award

Posted on 27/08/202427/08/2024 by ScienceFather

Dr. Seyedeh Azadeh Fallah Mortezanejad | Predictive Analytics | Best Researcher Award

Doctorate at Jiangsu University, China

👨‍🎓 Profiles

Orcid Profile
Scopus Profile
Research Gate Profile

Dr. Seyedeh Azadeh Fallah Mortezanejad, born on July 31, 1990, in Rasht, Iran, is an accomplished statistician specializing in statistical inferences and quality control. Her work focuses on maximum entropy, copula functions, and machine learning applications, reflecting her expertise in diverse areas of statistics and data analysis.

🎓 Academic Background

Dr. Mortezanejad earned her Ph.D. in Statistical Inferences from Ferdowsi University of Mashhad, Iran (2015-2020), with a thesis on “Applications of entropy in statistical quality control.” She completed her M.Sc. in Mathematical Statistics at Guilan University, Rasht, Iran (2012-2014), where her thesis was titled “Semi-parametric estimation of conditional Copula.” Her academic journey began with a B.Sc. in Statistics from Guilan University, Rasht, Iran (2008-2012).

💼 Professional Experience

Dr. Mortezanejad has taught various courses at prominent institutions, including Ferdowsi University of Mashhad and University of Guilan. Her teaching experience includes courses such as Statistics and Probability for Engineering, Applied Statistics 2, and Statistics and Probabilities in Management. Additionally, she has served as a Teacher Assistant for several courses, including “Statistics for Economy I and II” and “Mathematical Statistics,” at Ferdowsi University of Mashhad.

🔬 Research Interests

Her research interests encompass a range of topics including Maximum Entropy, Measures of Information, Copula Functions, Tied Observations, Machine Learning, Image Processing, Quality Control, and Control Charts. Dr. Mortezanejad’s work explores innovative applications and methodologies in these fields.

📝 Published Articles

Dr. Mortezanejad has authored several notable publications. Her work includes articles such as “Variational Bayesian Approximation (VBA): Implementation and Comparison of Different Optimization Algorithms” in Entropy (2024) and “Joint dependence distribution of data set using optimizing Tsallis copula entropy” in Physica A (2019). Other significant contributions include research on entropic structures in capability indices and the analysis of stock data based on copula functions.

🎤 Seminars

Dr. Mortezanejad has actively participated in international seminars and workshops. Notable presentations include “Profile Control Chart Based on Maximum Entropy” at the International Workshop on Responsible AI in Vietnam (2023) and discussions on Variational Bayesian Approximation (VBA) at the 41st and 42nd International Workshops on Bayesian Inference in France and Germany (2022-2023). She has also contributed to workshops on copula theory and information measures in Iran.

🧑‍🔬 Reviewer

She has been recognized as a Certified Reviewer for Helion Journal (2024) and has served as a reviewer for the 16th FLINS Conference and the 19th ISKE Conference in Spain (2024).

💻 Software Skills

Dr. Mortezanejad is proficient in several software and programming languages, including Python, R, MATLAB, Scilab, and C++. She is also skilled in SPSS Modeler, SPSS Statistics, and Minitab, with experience in using Latex for academic writing and documentation.

📖 Publications

Variational Bayesian Approximation (VBA): Implementation and Comparison of Different Optimization Algorithms”

Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
Journal: Entropy
Year: 2024

Variational Bayesian Approximation (VBA) with Exponential Families and Covariance Estimation

Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
Journal: Physical Sciences Forum
Year: 2023

Variational Bayesian Approximation (VBA): A Comparison between Three Optimization Algorithms

Authors: Seyedeh Azadeh Fallah Mortezanejad, Ali Mohammad-Djafari
Conference: MaxEnt 2022
Year: 2023

Evaluation of Anti-lice Topical Lotion of Ozonated Olive Oil and Comparison of its Effect with Permethrin Shampoo

Authors: Omid Rajabi, Atoosa Haghighizadeh, Seyedeh Azadeh Fallah Mortezanejad, Saba Dadpour
Journal: Reviews on Recent Clinical Trials
Year: 2022

An Entropic Structure in Capability Indices

Authors: Seyedeh Azadeh Fallah Mortezanejad, Gholamreza Mohtashami Borzadaran, Bahram Sadeghpour Gildeh
Journal: Communications in Statistics – Theory and Methods
Year: 2019

Joint Dependence Distribution of Data Set Using Optimizing Tsallis Copula Entropy

Authors: Seyedeh Azadeh Fallah Mortezanejad, Gholamreza Mohtashami Borzadaran, Bahram Sadeghpour Gildeh
Journal: Physica A: Statistical Mechanics and its Applications
Year: 2019

Madan Mohan Tito Ayyalasomayajula | Big Data Analytics | Excellence in Research

Posted on 21/08/202422/08/2024 by ScienceFather

Dr. Madan Mohan Tito Ayyalasomayajula | Big Data Analytics | Excellence in Research

Doctorate at Infosys/Aspen University, Arizona, United States

Dr. Madan Mohan Tito Ayyalasomayajula is a distinguished professional with a remarkable career in computer science and technology. His extensive background includes significant roles as a Senior Technology Architect, Research Scholar, and Industry Expert. Dr. Tito’s contributions span across academia, industry, and technology innovation, showcasing a profound impact on various domains such as artificial intelligence, machine learning, and system architecture.

Profiles

Scopus Profile
Orcid Profile

🌳Academic Background

Dr. Ayyalasomayajula is a seasoned technology architect and research scholar with over 20 years of experience in system architecture, cloud technologies, big data, and AI/ML. He holds a Doctor of Science in Computer Science from Aspen University and has contributed extensively to both academia and industry through his work in various roles, including as a Senior Technology Architect at Infosys Ltd., and previously as an Enterprise Architect at Walgreens and Toyota Motors North America.

🎓 Education

Dr. Madan Mohan Tito Ayyalasomayajula holds a Doctor of Science in Computer Science from Aspen University, Phoenix, Arizona (Aug 2019 – May 2024). He completed his Master of Technology in Computer Science & Engineering at Osmania University (2003 – 2005) and his Master of Computer Applications from Osmania University (1998 – 2001). His undergraduate degree, a Bachelor of Science, is from Andhra University (1994 – 1997).

🏅 Memberships

He is a Senior Member of IEEE and IEEE Computer Society, and a member of MIET (The Institute of Engineering & Technology), AET (International Academy of Engineering & Technology), and IACSIT (International Association of Computer Science and Information Technology). Additionally, he is affiliated with IASA Global (International Association for Software Architects), IAENG (International Association of Engineers), and serves as an Editorial Member for ESP Journal of Engineering & Technology Advancements. His memberships extend to IOASD (International Organization for Academic and Scientific Development) and IET – AI TN Committee as a Research Officer, and he is also a Technical Advisory Board Member at Aspen University, Arizona, USA.

💡 Profile

Dr. Tito is a Doctor of Science in Computer Science and a Senior Technology Architect with over 20 years of experience. He is a Research Scholar, Author, and Peer Reviewer, with expertise in building and implementing machine learning models, leveraging natural language processing and computer vision techniques, and applying predictive analytics using AI and ML technologies. His experience spans Architecture, System Analysis, Development, and Project Planning, with notable skills in Azure & AWS cloud technologies, Big Data, IoT, and Advanced Databases.

📰 Media Articles

He has written media articles on topics including the power of machine learning in production, the role of AI in managing big data, and the future of manufacturing with Explainable AI. His other articles discuss AI’s potential in diagnostics and address the skepticism surrounding AI advancements.

🏆 Awards

Dr. Tito has been recognized with the Aegis Graham Bell Award for his work on Revenue Plus and Incremental Revenue Through Incremental Sales (IRIS) products at Mahindra Comviva.

🛠️ Patents

He holds patents for various innovative technologies, including predictive maintenance systems, smart healthcare devices using AI, and early prediction algorithms for kidney diseases.

💼 Work Experience

He has held significant positions at Infosys Ltd. as a Senior Technology Architect, Walgreens / OmTek as an Enterprise Architect, Toyota Motors North America as an Enterprise Cloud Solutions Architect, and Mahindra Comviva as a Principal Architect. His roles have involved delivering digital services, architectural design, system optimization, and leading R&D initiatives across multiple domains.

🎤 Presentations and Exhibitions

Dr. Tito has been a guest speaker and keynote presenter at various conferences and workshops, including GIET University, SR University, and international AI conferences. He has also participated in podcasts and interviews, sharing his expertise on AI and technology.

🏅 Judging

He has served as a judge at numerous science and technology events, including the Ohio State Science Day, Regeneron ISEF, and Technovation for Girls. Additionally, he contributes as a peer reviewer for various scholarly journals and conferences.

🧑‍🏫 Mentorships

Dr. Tito is actively involved in mentoring through platforms such as Mentoring Club, ADPList, and the Global Mentoring Initiative.

📖 Publication

Explainable Artificial Intelligence (XAI) for Emotion Detection

- Authors: Ayyalasomayajula, M.M.T.; Ayyalasomayajula, S.; Pandey, J.K.
- Journal/Book: Book chapter in DOI: 10.4018/979-8-3693-4143-8.ch010
- Year: 2024

Exploring Strategies for Privacy-Preserving Machine Learning in Distributed Environments

- Authors: Dodda, S.; Kumar, A.; Kamuni, N.; Ayyalasomayajula, M.M.T.
- Journal/Conference: 3rd International Conference on Artificial Intelligence for Internet of Things (AIIoT 2024)
- Year: 2024

Implementing Convolutional Neural Networks for Automated Disease Diagnosis in Telemedicine

- Authors: Ayyalasomayajula, M.M.T.; Tiwari, A.; Arora, R.K.; Khan, S.
- Journal/Conference: 3rd IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE 2024)
- Year: 2024

Optimizing Photometric Light Curve Analysis: Evaluating Scipy’s Minimize Function for Eclipse Mapping of Cataclysmic Variables

- Author: Dr. Madan Mohan Tito Ayyalasomayajula
- Journal: Journal of Electrical Systems
- Year: 2024

Reddit Social Media Text Analysis for Depression Prediction: Using Logistic Regression with Enhanced Term Frequency-Inverse Document Frequency Features

- Authors: Madan Mohan Tito Ayyalasomayajula; Akshay Agarwal; Shahnawaz Khan
- Journal: International Journal of Electrical and Computer Engineering (IJECE)
- Year: 2024