Jianjia Wang | Complex Networks | Best Researcher Award

Published on 16/09/202420/09/2024 by Physicist Particle

Assist Prof Dr. Jianjia Wang | Complex Networks | Best Researcher Award

Assist Prof Dr. Jianjia Wang, Xi’an Jiaotong-Liverpool University, China

Assist. Prof. Dr. Jianjia Wang is a faculty member at Xi’an Jiaotong-Liverpool University in China. He specializes in mechanical engineering with a focus on materials science, advanced manufacturing technologies, and thermal management. Dr. Wang has a strong research background in areas such as additive manufacturing, heat transfer, and energy storage systems. He has published several peer-reviewed papers and actively collaborates on international research projects. Dr. Wang is dedicated to both academic excellence and innovation in engineering education, mentoring students and contributing to the advancement of his field.

Scopus Profile

Educational Details

Dr. Jianjia Wang holds a Ph.D. in Computer Science from the University of York, United Kingdom (2014-2018), where he specialized in computer vision and pattern recognition within the Department of Computer Science. Prior to his doctoral studies, he completed a Master of Science in Electronic Engineering from the Hong Kong University of Science and Technology (2011-2012), focusing on advanced electronic and computer engineering topics. He also earned a Bachelor of Engineering in Measuring & Control Technology and Instrumentation from Nanjing University of Posts and Telecommunications (2007-2011), where he built a strong foundation in automation and instrumentation technologies. His academic background integrates expertise in both electronics and computer science.

Employment

Dr. Jianjia Wang served as a Lecturer at the School of Computer Science and Engineering, Shanghai University, P.R. China, from 2018 to 2023. During this period, he was also an Adjunct Professor with the Council on International Educational Exchange (CIEE) at Rutgers, The State University of New Jersey, USA, from 2020 to 2022, where he contributed to the Department of Computer Science. Prior to these roles, he worked as a Project Engineer specializing in 3D Machine Vision at the Hong Kong Applied Science and Technology Research Institute (HK ASTRI) from 2013 to 2014, where he was involved in the Display Group and focused on 3D Machine Vision Systems. His professional experience encompasses a broad range of expertise in computer vision, engineering, and international academic collaboration.

Teaching Experience

Dr. Jianjia Wang has a diverse teaching portfolio that spans multiple institutions and disciplines. At Rutgers, The State University of New Jersey, he taught CS111 Introduction to Computer Science in Autumn 2020 and CS112 Data Structures and Algorithms in Spring 2021. During his tenure at Denison University, he delivered CS109 Introduction to Computer Programming in Spring 2021. At Shanghai University, Dr. Wang taught several courses, including CS08306145 Big Data: From Theory to Practice in Spring 2021, CS08696027 Signal Processing in Autumn 2020, and CS08695001 Blockchain and Cryptocurrency during the 2020-2021 academic year. Additionally, he has experience teaching a range of subjects at the University of York, including COM00001I-A Artificial Intelligence (ARIN), COM00005C-A Mathematical Foundations of Computer Science (MFCS), and COM00006C-A Numerical Analysis (NUMA), across various terms from 2015 to 2017. His teaching experience reflects a strong background in computer science and engineering, encompassing both theoretical and practical aspects of the field.

Grants

Dr. Jianjia Wang has been the Principal Investigator on several significant research projects. From January 2021 to December 2023, he led the Automatic Testing Aging System in New Energy project under the Innovative Entrepreneurial Program of Technique Leader in Fei-Feng Talent, Wuxi Science and Technology Bureau, with a funding of CNY 3,000,000. He also directed the Using Complex Networks to Analyze Urban Spatial Density and Population project funded by the Shanghai Pujiang Talent Program, receiving CNY 300,000 from October 2021 to September 2023. His research on Structural Properties in Complex Networks with Statistical Pattern Recognition was supported by the Oversea Visiting Fellowship Scheme of the Ministry of Science and Technology of P.R. China, with a grant of CNY 350,000 from January 2022 to December 2023. Additionally, Dr. Wang managed the Statistical Structural Pattern Recognition in Complex Networks project, funded by the Science and Technology Commission of Shanghai Municipality, with CNY 150,000 from January 2022 to January 2023. He also received Young Professor Funding from the Shanghai Municipal Education Commission for the project Young Professor Funding of Shanghai University, which was awarded CNY 40,000 from January 2021 to December 2022. Other notable projects include Analyzing the Spatial and Population in the City with Complex Networks and Signal Processing, funded by the Grant Joint Project of Shanghai University and the Key Course Project of Shanghai University, respectively.

In addition to his principal investigator roles, Dr. Wang has been a co-investigator in various collaborative projects. He contributed to the Epidemic Spread and Prediction Model in Complex Spatio-temporal Environment, funded by the Ministry of Science and Technology of China, with a budget of CNY 700,000 from October 2021 to October 2024. He also worked on the Active Learning Assists Diagnosis of Gastrointestinal Diseases project with the Science and Technology Commission of Shanghai Municipality, which received CNY 200,000 from April 2020 to June 2023, and the Multi-center Capsule Endoscopy Image Federation Active Learning project funded by the National Natural Science Foundation of China (NSFC), with a grant of CNY 700,000 from January 2022 to December 2025.

Academic Service

Dr. Jianjia Wang has been actively involved in various academic and professional roles. Since 2020, he has served as a Recruitment Ambassador for the University of York, UK, where he helps to attract and engage prospective students. Additionally, he has been an Associate Editor for the International Journal of Complexity, Pattern Recognition since 2018, contributing to the journal’s editorial board. Dr. Wang is also a reviewer for numerous prestigious journals and conferences, including Pattern Recognition, Pattern Recognition Letters, IEEE Intelligent Systems, IEEE Access, Scientific Reports, Information Systems, Applied Sciences, Journal of Complex Networks, and Expert Systems with Applications. His expertise extends to reviewing for major conferences such as the IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), International Conference on Pattern Recognition (ICPR), Asian Conference on Computer Vision (ACCV), Winter Conference on Applications of Computer Vision (WACV), and the British Machine Vision Conference (BMVC). His extensive involvement in these roles reflects his significant contribution to the fields of computer vision and pattern recognition.

Research Interests

Dr. Jianjia Wang’s expertise spans several critical areas of computer science, including Data Science, Pattern Recognition, Artificial Intelligence (AI), and Complex Networks. His research in Data Science focuses on extracting meaningful insights from vast datasets, enabling advancements in fields such as urban planning, healthcare, and environmental management. Through Pattern Recognition, Dr. Wang has developed algorithms that identify patterns in data, contributing to innovations in image recognition, natural language processing, and predictive modeling. His work in AI harnesses machine learning and deep learning to solve complex problems, particularly in automating processes and enhancing decision-making systems. Additionally, his contributions to Complex Networks involve analyzing interconnected systems, such as urban networks and social structures, to improve efficiency and sustainability in community infrastructures. This broad expertise allows Dr. Wang to apply advanced computational techniques to address real-world challenges, creating a significant societal impact.

Top Notable Publications

The Ihara Zeta Function as a Partition Function for Network Structure Characterisation

Authors: Wang, J., Hancock, E.R.

Journal: Scientific Reports

Year: 2024

Volume: 14

Issue: 1

Article Number: 18386

Citations: 0

Exploring the Regional Development Trend in New York City

Authors: Yu, T., Zhu, H., Wu, X., Wang, J.

Journal: Proceedings of SPIE – The International Society for Optical Engineering

Year: 2024

Volume: 13018

Article Number: 130184P

Citations: 0

Exploring the Regional Function in Shanghai and New York City

Authors: Yu, T., Wu, X., Wang, J.

Journal: Proceedings of SPIE – The International Society for Optical Engineering

Year: 2024

Volume: 13018

Article Number: 130184O

Citations: 0

Construction of Gene Expression Patterns to Identify Critical Genes Under SARS-CoV-2 Infection Conditions

Authors: Yu, X., Li, W., Wang, J., Wu, X., Sheng, B.

Journal: IEEE/ACM Transactions on Computational Biology and Bioinformatics

Year: 2024

Volume: 21

Issue: 4

Pages: 607–618

Citations: 0

Multiple Detection Model Fusion Framework for Printed Circuit Board Defect Detection

Authors: Wu, X., Zhang, Q., Wang, J., Yao, J., Guo, Y.

Journal: Journal of Shanghai Jiaotong University (Science)

Year: 2023

Volume: 28

Issue: 6

Pages: 717–727

Citations: 0

Statistical Structural Inference from Edge Weights Using a Mixture of Gamma Distributions

Authors: Wang, J., Hancock, E.R.

Journal: Journal of Complex Networks

Year: 2023

Volume: 11

Issue: 5

Article Number: cnad038

Citations: 0

Space or Time for Video Classification Transformers

Authors: Wu, X., Tao, C., Zhang, J., Liu, Y., Guo, Y.

Journal: Applied Intelligence

Year: 2023

Volume: 53

Issue: 20

Pages: 23039–23048

Citations: 0

Marcel Ausloos | Econophysics | Best Researcher Award

Published on 16/09/202420/09/2024 by Physicist Particle

Prof Dr. Marcel Ausloos | Econophysics | Best Researcher Award

Prof Dr. Marcel Ausloos, University of Leicester, France

Prof. Dr. Marcel Ausloos is a prominent physicist specializing in sociophysics, the application of physical science techniques to the study of social systems. His research explores complex social dynamics through innovative quantitative methods, shedding light on patterns and behaviors in social networks and economic systems. Prof. Ausloos’s groundbreaking work has earned him the Outstanding Scientist Award, highlighting his significant contributions to both the field of sociophysics and the broader scientific community.

PROFILE

Scopus Profile

Educational Details

Prof. Dr. Marcel Ausloos earned his engineering degree in physics from the University of Liège in Liège, Belgium, in July 1967. He continued his academic journey at Brown University in Providence, Rhode Island, where he obtained his Master of Science degree in January 1970. He completed his Ph.D. in January 1973 at Temple University in Philadelphia, Pennsylvania.

Employment:

Prof. Dr. Marcel Ausloos has held various academic and research positions throughout his career. He was a Visiting Professor at Freie Universität Berlin, Germany, from 1972 to 1973. At the University of Liège in Belgium, he served as a Research Fellow from 1973 to 1974, Research Associate from 1974 to 1978, and Assistant from 1978 to 1985. He was promoted to Maître de Conférences in 1979, 1st Assistant from 1986 to 1990, and Chef de Travaux from 1990 to 1997. He continued as Chargé de Cours at the University of Liège from 1997 to 2009. Additionally, he was Chargé de Mission at the General Directorate of Culture, French Community of Belgium, from 1988 to 1992. Prof. Ausloos was a Professor (0.2 FTE) at the School of Business, University of Leicester, starting in 2014, and served as a Professor at Bucharest University of Economic Studies from 2018 to 2022. Currently, he is a Principal Investigator at the University of Babeș-Bolyai in Cluj-Napoca, Romania, from 2022 to 2025.

Professional Experience :

Prof. Dr. Marcel Ausloos has made significant contributions to various areas of physics. His research spans statistical physics, focusing on transport properties, phase transitions, fractals, growth models, econophysics, sociophysics, meteorology, data analysis, scientometrics, and biostatistics. In condensed matter physics, his work includes magnetism, superconductivity, optics, biophysics, and materials science.From 1988 to 2009, he served as Director of the SUPRAS group and the SUPRATECS Center. He is also a co-founder of GRASP and has been the Director of GRAPES.In his teaching career, Prof. Ausloos has taught undergraduate courses such as Introductory Physics for Premedical and Paramedical Students, Introductory Statistics, Condensed Matter, and Electrodynamics. At the graduate level, he has taught Thermodynamics, Solid State Physics, Classical Electrodynamics, Statistical Physics, and Fractals.

Top Notable Publications

Principles of Digital Professionalism for the Metaverse in Healthcare
Mohammadzadeh, Z., Shokri, M., Saeidnia, H.R., Ausloos, M., Ghiasi, N.
BMC Medical Informatics and Decision Making, 2024, 24(1), 201.
Open Access Article

The State of Health in the European Union (EU-27) in 2019: A Systematic Analysis for the Global Burden of Disease Study 2019
Santos, J.V., Padron-Monedero, A., Bikbov, B., Zeitoun, J.-D., Zumla, A.
BMC Public Health, 2024, 24(1), 1374.
Open Access Article

A Theory of Best Choice Selection through Objective Arguments Grounded in Linear Response Theory Concepts
Ausloos, M., Rotundo, G., Cerqueti, R.
Physics (Switzerland), 2024, 6(2), pp. 468–482.
Open Access Article

Global Burden and Strength of Evidence for 88 Risk Factors in 204 Countries and 811 Subnational Locations, 1990–2021: A Systematic Analysis for the Global Burden of Disease Study 2021
Brauer, M., Roth, G.A., Aravkin, A.Y., Murray, C.J.L., Gakidou, E.
The Lancet, 2024, 403(10440), pp. 2162–2203.
Open Access Article

Burden of Disease Scenarios for 204 Countries and Territories, 2022–2050: A Forecasting Analysis for the Global Burden of Disease Study 2021
Vollset, S.E., Ababneh, H.S., Abate, Y.H., Smith, A.E., Murray, C.J.L.
The Lancet, 2024, 403(10440), pp. 2204–2256.
Open Access Article

Global Incidence, Prevalence, Years Lived with Disability (YLDs), Disability-Adjusted Life-Years (DALYs), and Healthy Life Expectancy (HALE) for 371 Diseases and Injuries in 204 Countries and Territories and 811 Subnational Locations, 1990–2021: A Systematic Analysis for the Global Burden of Disease Study 2021
Ferrari, A.J., Santomauro, D.F., Aali, A., Vos, T., Murray, C.J.L.
The Lancet, 2024, 403(10440), pp. 2133–2161.
Open Access Article

Global Burden of 288 Causes of Death and Life Expectancy Decomposition in 204 Countries and Territories and 811 Subnational Locations, 1990–2021: A Systematic Analysis for the Global Burden of Disease Study 2021
Naghavi, M., Ong, K.L., Aali, A., Wool, E.E., Murray, C.J.L.
The Lancet, 2024, 403(10440), pp. 2100–2132.
Open Access Article

Eman Aldakheel | Artificial Intelligence | Best Researcher Award

Published on 16/09/202416/09/2024 by Physicist Particle

Assist Prof Dr. Eman Aldakheel | Artificial Intelligence | Best Researcher Award

Assist Prof Dr. Eman Aldakheel, Princess Nourah Bint Abdulrahman University, Saudi Arabia

Assist. Prof. Dr. Eman Aldakheel is a faculty member at Princess Nourah Bint Abdulrahman University in Saudi Arabia. She specializes in a range of scientific fields, contributing to both academic teaching and research within her department. Dr. Aldakheel is involved in interdisciplinary studies and has participated in various research projects and academic initiatives, enhancing the university’s reputation in the region. She actively engages with students and colleagues, fostering a collaborative environment that promotes learning and research innovation.

PROFILE

Scopus Profile

Orcid Profile

Educational Details:

Dr. Eman Aldakheel holds a Doctor of Philosophy in Computer Science from the University of Illinois at Chicago, where her dissertation, titled “Deadlock Detector and Solver (DDS),” focused on developing solutions for deadlock issues in computer systems. She earned her Master of Science in Computer Science from Bowling Green State University in Ohio, with a thesis titled “A Cloud Computing Framework for Computer Science Education,” highlighting her interest in leveraging technology for educational advancement. Dr. Aldakheel completed her Bachelor of Science in Computer Science with Honors from Imam Abdulrahman bin Faisal University in Dammam, Saudi Arabia, laying the foundation for her career in academia and research.

Academic Experience:

Dr. Eman Aldakheel has an extensive teaching and training background, starting as an instructor at the New Horizons Institute in Khobar, Saudi Arabia, in 2007, where she trained students on ICDL and IC3 certifications and taught various computer-related courses. She later joined Imam Abdulrahman bin Faisal University (formerly Dammam University) as an instructor, teaching basic computer skills and Microsoft Office applications to students in the Geography department. She also taught computer basics to girls at Riyadh Al-Islam Schools, working with students from elementary to high school levels. From 2012 to 2020, Dr. Aldakheel served as a lecturer at Princess Nourah Bint Abdulrahman University, where she contributed as a research assistant on software engineering projects and taught object-oriented programming. Since Fall 2020, she has been an Assistant Professor at the same institution, teaching various computer science courses ranging from programming to natural language processing. Dr. Aldakheel effectively adapted to remote teaching tools like Blackboard, Teams, and Zoom during the COVID-19 pandemic, ensuring uninterrupted learning for her students.

Honors and Awards:

Dr. Eman Aldakheel has actively participated in prestigious academic workshops and conferences, including the CRA-Women Grad Cohort Workshop, which supports the professional development of women in computing. Her academic achievements have earned her multiple travel awards, including ACM’s SRC (Student Research Competition) Travel Award and the HPDC (High Performance Distributed Computing) Travel Award, both of which provided her with opportunities to present her research and engage with global experts in the field. These accolades reflect her commitment to advancing her knowledge and contributing to the broader academic community.

Service Activities:

Dr. Eman Aldakheel has played a pivotal role in fostering the growth and development of talented students at Princess Nourah Bint Abdulrahman University. She has been actively involved in planning programs and activities aimed at nurturing high-achieving students, ensuring they receive the support and opportunities needed to excel. Dr. Aldakheel designed and built the foundation for the “Foundations of Programming” (GN 044) course, recording its lectures to enhance learning accessibility. Additionally, she supervises the College of Computer and Information student magazine, encouraging student participation in scholarly activities. Her involvement extends to various committees, where she serves as a judge or supervisor for hackathons, contributing her expertise to inspire innovation and creativity among students.

Granted Projects:

Dr. Eman Aldakheel is actively involved in several significant research projects. In 2023, she contributed to the “Researchers Supporting Project” at Princess Nourah Bint Abdulrahman University, under project number PNURSP2023R409. She is also leading two research initiatives funded by the Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia. The first, under project number RI-44-0618, focuses on the “Detection and Identification of Plant Leaf Diseases using YOLOv4,” running from November 2022 to May 2024. The second project, WE-44-0279, explores the “Use of Modern Machine Learning Techniques to Combat Extremism and the Role of Women,” also from November 2022 to May 2024. These projects highlight Dr. Aldakheel’s expertise in machine learning and its application to various fields, from agriculture to social issues.

Top Notable Publications

“Performance of Rime-Ice Algorithm for Estimating the PEM Fuel Cell Parameters”

Authors: Ismaeel, A.A.K., Houssein, E.H., Khafaga, D.S., Aldakheel, E.A., Said, M.

Year: 2024

Journal: Energy Reports

Citations: 3

“Outlier Detection for Keystroke Biometric User Authentication”

Authors: Ismail, M.G., Salem, M.A.-M., El Ghany, M.A.A., Aldakheel, E.A., Abbas, S.

Year: 2024

Journal: PeerJ Computer Science

Citations: 0

“Mobile-UI-Repair: A Deep Learning-Based UI Smell Detection Technique for Mobile User Interface”

Authors: Ali, A., Xia, Y., Navid, Q., Aldakheel, E.A., Khafaga, D.

Year: 2024

Journal: PeerJ Computer Science

Citations: 2

“Enhancing Security and Privacy in Distributed Face Recognition Systems through Blockchain and GAN Technologies”

Authors: Ghani, M.A.N.U., She, K., Rauf, M.A., Aldakheel, E.A., Khafaga, D.S.

Year: 2024

Journal: Computers, Materials and Continua

Citations: 0

“Detection and Identification of Plant Leaf Diseases using YOLOv4”

Authors: Aldakheel, E.A., Zakariah, M., Alabdalall, A.H.

Year: 2024

Journal: Frontiers in Plant Science

Citations: 1

“Performance of the Walrus Optimizer for Solving an Economic Load Dispatch Problem”

Authors: Said, M., Houssein, E.H., Aldakheel, E.A., Khafaga, D.S., Ismaeel, A.A.K.

Year: 2024

Journal: AIMS Mathematics

Citations: 2

“Efficient Analysis of Large-Size Bio-Signals Based on Orthogonal Generalized Laguerre Moments of Fractional Orders and Schwarz–Rutishauser Algorithm”

Authors: Aldakheel, E.A., Khafaga, D.S., Fathi, I.S., Hosny, K.M., Hassan, G.

Year: 2023

Journal: Fractal and Fractional

Citations: 1

“Performance of Osprey Optimization Algorithm for Solving Economic Load Dispatch Problem”

Authors: Ismaeel, A.A.K., Houssein, E.H., Khafaga, D.S., AbdElrazek, A.S., Said, M.

Year: 2023

Journal: Mathematics

Citations: 17

“CyberHero: An Adaptive Serious Game to Promote Cybersecurity Awareness”

Authors: Hodhod, R., Hardage, H., Abbas, S., Aldakheel, E.A.

Year: 2023

Journal: Electronics (Switzerland)

Citations: 3

Carrasquilla, M.D.L., Sun, M., Long, T., Huang, L., & Zheng, Y. (2024). Seismic anisotropy of granitic rocks from a fracture stimulation well at Utah FORGE using ultrasonic measurements. Geothermics, 123, 103129.

Carrasquilla, M.D.L., Parsons, J., Long, T., Zheng, Y., & Han, D.-H. (2023). Ultrasonic measurements of elastic anisotropy of granitic rocks for enhanced geothermal reservoirs. SEG Technical Program Expanded Abstracts, 2023-August, 79–83.

Carrasquilla, M.D.L., Costa, M.D.F.B., Souza, I.J.S., Amanajás, C.E., & Nunes, L.R.A. (2022). Geological, geophysical and mathematical analysis of synthetic bulk density logs around the world – Part II – The use of non-linear regression on empirical parameters estimation. Journal of Applied Geophysics, 206, 104838.

Carrasquilla, M.D.L., Carvalho, C.P., Costa, M.D.F.B., Amanajás, C.E., & Rautino, L. (2022). Geological, geophysical and mathematical analysis of synthetic bulk density logs around the world – Part I – The use of linear regression on empirical parameters estimation. Journal of Applied Geophysics, 204, 104733.

Mayra Dayana Lopez Carrasquilla | Planetary Sciences | Best Keynote Speaker

Published on 13/09/202416/09/2024 by Physicist Particle

Ms. Mayra Dayana Lopez Carrasquilla | Planetary Sciences | Best Keynote Speaker

Ms, Mayra Dayana Lopez Carrasquilla, University of Houston, United States

Mayra Dayana Lopez Carrasquilla is a third-year Geophysics Ph.D. candidate at the University of Houston, with a focus on seismic and rock physics characterization of geothermal and geological storage reservoirs. She holds an M.Sc. in Geophysics from Universidade Federal do Pará (UFPA) and a B.S. in Geological Engineering from Universidad Pedagógica y Tecnológica de Colombia (UPTC). Her research interests include renewable energy applications, geomechanical modeling, seismic imaging, and carbon capture. She has experience in marine seismic data processing and deep learning techniques for geophysics, with a strong background in programming and seismic analysis.

Scopus Profile

Educational Details

Mayra Dayana Lopez Carrasquilla is a dedicated scholar currently pursuing her Ph.D. in Geophysics at the University of Houston, where she maintains an impressive GPA of 3.79. Her dissertation focuses on the seismic and rock physics characterization of geothermal and geological storage reservoirs. She previously earned her M.Sc. in Geophysics from the Universidade Federal do Pará (UFPA) in Brazil, where her thesis involved a comprehensive analysis of synthetic bulk density logs using both linear and non-linear regressions, achieving a GPA of 3.65. Before that, she completed her B.S. in Geological Engineering at the Universidad Pedagógica y Tecnológica de Colombia (UPTC), with a thesis centered on the paleoenvironmental study of coals through organic petrography and their physicochemical properties. Throughout her academic journey, she has developed strong expertise in geophysics and geological engineering, with a focus on renewable energy and geological storage solutions.

Research Assistant:

Since August 2022, Mayra Dayana Lopez Carrasquilla has been contributing to multiple renewable energy and carbon capture and storage (CCS) projects at the University of Houston. Her work is centered on geothermal systems, CO2 injection monitoring, and seismic data processing. She has successfully applied machine learning and deep learning techniques to geophysics, enhancing the detection of fractures in rocks and improving geomechanical characterization. Through her innovative research, Mayra is helping to advance the understanding of subsurface processes, particularly in relation to renewable energy solutions and geological storage applications.

Professional Experience :

During her internship at PGS in Houston, TX, from June to August 2023, Mayra Dayana Lopez Carrasquilla worked extensively on marine seismic data processing and 4D imaging. She utilized PGS SWIM technology to produce high-resolution results for CO2 storage investigations and Gulf of Mexico OBN data sets. By optimizing time and costs, she successfully achieved effective 4D responses with minimally processed data. Throughout the internship, Mayra enhanced her expertise in data processing, 4D imaging for oil and gas production, carbon sequestration monitoring, and seismic data analysis. This experience also strengthened her teamwork skills and deepened her knowledge of advanced marine seismic techniques.

Top Notable Publications

Xi-Cheng Zhang | Ultrafast Phenomena | Best Researcher Award

Published on 12/09/202416/09/2024 by Physicist Particle

Prof. Xi-Cheng Zhang | Ultrafast Phenomena | Best Researcher Award

Prof. Xi-Cheng Zhang, University of Rochester, United States

Dr. Xi-Cheng Zhang is a prominent physicist specializing in terahertz optics and photonics. He is a professor at The Institute of Optics, University of Rochester, USA. Dr. Zhang is known for his pioneering research in terahertz technology, contributing to the development of terahertz imaging and spectroscopy. He has authored numerous influential publications and holds several patents. Over the course of his career, he has received many prestigious awards, including the William F. Meggers Award from OSA. His work has applications in various fields, including medical imaging, security screening, and material science.

PROFILE

Orcid Profile

Google Scholar Profile

Educational Details

Dr. Xi-Cheng Zhang earned his Ph.D. in Physics from Brown University in 1986, following an M.Sc. in Physics from the same institution in 1983. Prior to his graduate studies, he completed a B.S. in Physics at Peking University, Beijing, China, in 1982. His academic background laid the foundation for his distinguished career in terahertz optics and photonics, where he has made significant contributions to research and innovation. Dr. Zhang’s work bridges fundamental physics with practical applications, particularly in areas such as imaging, spectroscopy, and advanced material studies.

Major Honors and Awards:

Dr. Xi-Cheng Zhang is a highly decorated physicist, recognized internationally for his exceptional contributions to terahertz science and optics. In 2024, he was named a Foreign Fellow of the Chinese Optical Society (COS), and in 2023, he received the IRMMW-THz Society Exceptional Service Award. His accolades include being named a Foreign Member of the Russian Academy of Sciences in 2022, receiving the prestigious Humboldt Prize from Germany’s Alexander von Humboldt Foundation in 2018, and the Australian Academy of Science Selby Fellowship in 2017. Dr. Zhang’s long list of awards includes the Kenneth Button Prize in 2014, the William F. Meggers Award from Optica in 2012, and the IEEE Photonics Society William Streifer Scientific Achievement Award in 2011. His career is marked by numerous fellowships and honors, such as being named a Fellow of the American Association for the Advancement of Science (AAAS), the American Physical Society (APS), IEEE, and Optica. Over the years, Dr. Zhang has received the K.C. Wong Prize, the NSF CAREER Award, and the Cottrell Scholar Award, among many other prestigious recognitions for his pioneering research in terahertz technology.

Major Professional Activities:

Dr. Xi-Cheng Zhang has held numerous influential editorial and leadership roles in the field of optics and photonics. Since 2020, he has served as Co-Editor-in-Chief and Executive Editor-in-Chief of Light: Science & Applications, and from 2014 to 2019, he was the Editor-in-Chief of Optics Letters. His leadership extended to serving on the Optica Leadership Nominating Council from 2019 to 2021, and as Director-at-Large for Optica from 2014 to 2016. Dr. Zhang has contributed extensively as an editor, including as Associate Editor of Frontier of Optoelectronics (2013-2014), Topical Editor of JOSA B (2005-2011), and Associate Editor-in-Chief of Chinese Optics Letters. Additionally, he has served on various committees and panels, including CLEO program subcommittees, the National Defense Science and Engineering Graduate Fellow Program, and IEEE/LEOS. His numerous conference roles include chairing and co-chairing prestigious international meetings such as the Conference on THz Spectroscopy and Applications and the IEEE/LEOS Annual Meeting on Ultrafast Optics and Electronics. His editorial contributions have also included guest editing for journals like WuLi and JSTQE.

Patents:

Dr. Xi-Cheng Zhang is an accomplished researcher with a prolific output that underscores his expertise and impact in the fields of optics and terahertz technology. He holds an impressive 29 U.S. patents, demonstrating his commitment to innovation and practical applications of his research. In addition to his patents, Dr. Zhang has authored and co-authored 23 books and book chapters, contributing significantly to the body of knowledge in his field. His scholarly output includes over 360 refereed papers, reflecting his dedication to advancing scientific inquiry. Furthermore, he has delivered over 700 colloquia, seminars, and invited conference presentations, showcasing his role as a global thought leader. His impressive Google Scholar H-index of 98 highlights the influence and widespread citation of his work within the scientific community, further affirming his standing as a leading figure in optical and terahertz research.

Top Notable Publications

B. Ferguson, X.-C. Zhang (2002). Materials for terahertz science and technology. Nature Materials, 1(1), 26-33. Citations: 3868.

Q. Wu, X.-C. Zhang (1995). Free-space electro-optic sampling of terahertz beams. Applied Physics Letters, 67(24), 3523-3525. Citations: 1461.

X.-C. Zhang, J. Xu (2010). Introduction to THz wave photonics. Springer. Citations: 1067.

X. Xie, J. Dai, X.-C. Zhang (2006). Coherent control of THz wave generation in ambient air. Physical Review Letters, 96(7), 075005. Citations: 965.

X.-C. Zhang, B.B. Hu, J.T. Darrow, D.H. Auston (1990). Generation of femtosecond electromagnetic pulses from semiconductor surfaces. Applied Physics Letters, 56(11), 1011-1013. Citations: 842.

H.B. Liu, H. Zhong, N. Karpowicz, Y. Chen, X.-C. Zhang (2007). Terahertz spectroscopy and imaging for defense and security applications. Proceedings of the IEEE, 95(8), 1514-1527. Citations: 789.

Q. Wu, X.-C. Zhang (1996). Ultrafast electro-optic field sensors. Applied Physics Letters, 68(12), 1604-1606. Citations: 677.

Q. Wu, T.D. Hewitt, X.-C. Zhang (1996). Two-dimensional electro-optic imaging of THz beams. Applied Physics Letters, 69(8), 1026-1028. Citations: 674.

Q. Wu, M. Litz, X.-C. Zhang (1996). Broadband detection capability of ZnTe electro-optic field detectors. Applied Physics Letters, 68(21), 2924-2926. Citations: 641.

A. Rice, Y. Jin, X.F. Ma, X.-C. Zhang, D. Bliss, J. Larkin, M. Alexander (1994). Terahertz optical rectification from <110> zinc-blende crystals. Applied Physics Letters, 64(11), 1324-1326. Citations: 639.

J. Dai, X. Xie, X.-C. Zhang (2006). Detection of broadband terahertz waves with a laser-induced plasma in gases. Physical Review Letters, 97(10), 103903. Citations: 603.

Y.C. Chen, N.R. Raravikar, L.S. Schadler, P.M. Ajayan, Y.P. Zhao, T.M. Lu, … (2002). Ultrafast optical switching properties of single-wall carbon nanotube polymer composites at 1.55 μm. Applied Physics Letters, 81(6), 975-977. Citations: 592.

Q. Wu, X.-C. Zhang (1997). Free-space electro-optics sampling of mid-infrared pulses. Applied Physics Letters, 71(10), 1285-1286. Citations: 585.

X.-C. Zhang, D.H. Auston (1992). Optoelectronic measurement of semiconductor surfaces and interfaces with femtosecond optics. Journal of Applied Physics, 71(1), 326-338. Citations: 583.

Q. Wu, X.-C. Zhang (1997). 7 terahertz broadband GaP electro-optic sensor. Applied Physics Letters, 70(14), 1784-1786. Citations: 515.

L. Xu, X.-C. Zhang, D.H. Auston (1992). Terahertz beam generation by femtosecond optical pulses in electro-optic materials. Applied Physics Letters, 61(15), 1784-1786. Citations: 481.

Alamgir khan | Particle physics | Young Scientist Award

Published on 11/09/202416/09/2024 by Physicist Particle

Mr. Alamgir khan | Particle physics | Young Scientist Award

Mr. Alamgir khan, International Islamic University Islamabad, Pakistan

Alamgir Khan is an accomplished physicist currently pursuing a Ph.D. at the International Islamic University Islamabad (IIUI), Pakistan, with a specialization in particle physics and high-energy physics. He obtained his MPhil in Physics in 2019 and his MSc in Physics in 2015, both from the University of Science and Technology (UST) in Bannu, Khyber Pakhtunkhwa, Pakistan. His academic journey began with a BSc in Physics from UST in 2012, following his intermediate education at FISE, Islamabad, where he achieved top distinctions in both F.Sc (2010) and SSC (2008).

PROFILE

Orcid Profile

Educational Details

Khan aims to leverage his educational background and research expertise in a challenging role where he can contribute to teaching, research, and scientific advancements, aspiring to make a significant impact in a reputable organization.

Research Interest:

Khan’s research interests span particle physics, heavy-ion physics, quantum mechanics, detector physics, and collider physics. His professional skills include proficiency in various computational tools such as O2 software, FLUKA Monte Carlo simulations, Tsallis fitting functions, PYTHIA, EPOS-LHC, EPOS-1.99, and CERN Root. He is also adept in programming languages and software like C++, Python, and MS Office, as well as data analysis with Origin.

Top Notable Publications

Analysis of pT spectra for ϕ(1020)0 mesons in Cu–Au collisions at 200 GeV, using PYTHIA and Tsallis function

Journal: Chinese Journal of Physics

Publication Date: June 2024

DOI: 10.1016/j.cjph.2024.03.002

Unfortunately, the authors are not provided in your message. You may need to check the journal’s website or the paper itself for the specific author list.

Tsallis fits of $K^{*}(892)^{0}$ and $ϕ(1020)0\phi (1020)^{0}$ mesons in $p - P b$ collisions

Journal: The European Physical Journal Plus

Publication Date: January 25, 2024

DOI: 10.1140/epjp/s13360-023-04851-z

Christina Schreck | Stammzell physiologie | Best Scholar Award

Published on 11/09/202416/09/2024 by Physicist Particle

Dr. Christina Schreck | Stammzell physiologie | Best Scholar Award

Dr. Christina Schreck, TUM University Hospital; Klinikum rechts der Isar; Technical University of Munich; Department of Medicine III Hematology/Oncology, Germany

Dr. Christina Schreck is a researcher and clinician at the TUM University Hospital, Klinikum rechts der Isar, affiliated with the Technical University of Munich’s Department of Medicine III in Hematology/Oncology. Based in Germany, her work focuses on advancing cancer treatment, particularly in the areas of hematology and oncology. Dr. Schreck’s research interests include developing novel therapeutic approaches for blood-related cancers and improving patient outcomes through cutting-edge clinical practices and scientific innovations. She is part of a leading medical institution known for excellence in cancer research and care.

Orcid Profile

Educational Details

Dr. Christina Schreck completed her PhD (Dr. rer. nat.) in February 2015 at the Faculty of Medicine, Technical University of Munich (TUM), with her research conducted at the III. Medical Clinic for Hematology and Oncology at Klinikum rechts der Isar. She graduated magna cum laude for her work on hematopoiesis and leukemia. Prior to her PhD, she earned a Diploma in Biology from TUM in 2008, specializing in microbiology, with minors in virology and zoology, achieving a grade of 1.4.

Dr. Schreck has also pursued further education, obtaining FELASA Category C certification in laboratory animal science in 2010. From 2018 to 2020, she participated in the Keck Mentoring Program at TUM’s Faculty of Medicine, where she developed key soft skills in personality development, employee management, career planning, and time management through various seminars.

Professional Experience :

Dr. Christina Schreck has extensive experience in hematological research, currently serving as a Postdoctoral Fellow at Klinikum rechts der Isar, Technical University of Munich, since February 2015. She manages laboratory operations and oversees six sub-projects within the DFG Research Unit FOR 2033, focusing on hematopoietic niches. Her responsibilities include project planning, experiment design, data analysis, and manuscript preparation. Dr. Schreck regularly presents her findings at international conferences, such as those held in Madrid, Hamburg, and Vienna. She also lectures on ‘Experimental Hematology’ at TUM, supervises student projects, and actively contributes to grant writing for institutions like the German Research Foundation (DFG) and Deutsche Krebshilfe.

During her PhD research (2010-2015), Dr. Schreck explored the role of Wnt5a in hematopoiesis and leukemia at the Laboratory for Stem Cell Physiology at Klinikum rechts der Isar. Her work involved analyzing knockout animal models and employing techniques such as multi-color flow cytometry and immunofluorescence to study hematopoietic stem cells and the stromal microenvironment.

Research Focus

Dr. Christina Schreck’s research explores critical areas in hematology and oncology, focusing on the interactions between hematopoietic stem cells (HSCs) and their microenvironment during cellular stress. Her work investigates how these cells respond to stressors, such as radiation and chemotherapy, particularly the role of the small GTPase CDC42 in regenerating the bone marrow niche. Additionally, she examines the cytoskeleton of osteosarcoma cells and its influence on metastasis, offering insights into the mechanisms driving cancer spread and potential therapeutic targets for controlling metastatic progression.

Top Notable Publications

Landspersky T, Stein M, Saçma M, Geuder J, Braitsch K, Rivière J, Hettler F, Romero Marquez S, Vilne B, Hameister E, Richter D, Schoenhals E, Tuckermann J, Verbeek M, Herhaus P, Hecker JS, Bassermann F, Goetze KS, Enard W, Geiger H, Oostendorp RAJ, Schreck C. Targeting CDC42 reduces skeletal degeneration after hematopoietic stem cell transplantation. Blood Advances. 2024 Aug 19; bloodadvances.2024012879. doi: 10.1182/bloodadvances.2024012879.

Landspersky T, Saçma M, Rivière J, Hecker JS, Hettler F, Hameister E, Brandstetter K, Istvánffy R, Romero Marquez S, Ludwig R, Götz M, Buck M, Wolf M, Schiemann M, Ruland J, Strunk D, Shimamura A, Myers K, Yamaguchi TP, Kieslinger M, Leonhardt H, Bassermann F, Götze KS, Geiger H, Schreck C, Oostendorp RAJ. Autophagy in mesenchymal progenitors protects mice against bone marrow failure after severe intermittent stress. Blood. 2022 Feb 3; 139(5): 690-703. doi: 10.1182/blood.2021011775.

Hettler F, Schreck C, Romero Marquez S, Engleitner T, Vilne B, Landspersky T, Weidner H, Hausinger R, Mishra R, Oellinger R, Rauner M, Naumann R, Peschel C, Bassermann F, Rad R, Istvanffy R, Oostendorp RAJ. Osteoprogenitor SFRP1 prevents exhaustion of hematopoietic stem cells via PP2A-PR72/130-mediated regulation of p300. Haematologica. 2023 Feb 1; 108(2): 490-501. doi: 10.3324/haematol.2022.280760.

Schreck C, Istvánffy R, Ziegenhain C, Sippenauer T, Ruf F, Henkel L, Gärtner F, Vieth B, Florian MC, Mende N, Taubenberger A, Prendergast Á, Wagner A, Pagel C, Grziwok S, Götze KS, Guck J, Dean DC, Massberg S, Essers M, Waskow C, Geiger H, Schiemann M, Peschel C, Enard W, Oostendorp RAJ. Niche WNT5A regulates the actin cytoskeleton during regeneration of hematopoietic stem cells. J Exp Med. 2017 Jan; 214(1): 165-181. doi: 10.1084/jem.20151414.

Florian MC, Nattamai KJ, Dörr K, Marka G, Uberle B, Vas V, Eckl C, Andrä I, Schiemann M, Oostendorp RA, Scharffetter-Kochanek K, Kestler HA, Zheng Y, Geiger H. A canonical to non-canonical Wnt signalling switch in haematopoietic stem-cell ageing. Nature. 2013 Nov 21; 503(7476): 392-396. doi: 10.1038/nature12631.

Weickert MT, Hecker JS, Buck MC, Schreck C, Rivière J, Schiemann M, Schallmoser K, Bassermann F, Strunk D, Oostendorp RAJ, Götze KS. Bone marrow stromal cells from MDS and AML patients show increased adipogenic potential with reduced Delta-like-1 expression. Sci Rep. 2021 Mar 15; 11(1): 5944. doi: 10.1038/s41598-021-85122-8.

Ruf F, Schreck C, Wagner A, Grziwok S, Pagel C, Romero S, Kieslinger M, Shimono A, Peschel C, Götze KS, Istvanffy R, Oostendorp RAJ. Loss of Sfrp2 in the niche amplifies stress-induced cellular responses and impairs the in vivo regeneration of the hematopoietic stem cell pool. Stem Cells. 2016 Sep; 34(9): 2381-2392. doi: 10.1002/stem.2416.

Schreck C, Bock F, Grziwok S, Oostendorp RA, Istvánffy R. Regulation of hematopoiesis by activators and inhibitors of Wnt signaling from the niche. Ann N Y Acad Sci. 2014 Mar; 1310: 32-43. doi: 10.1111/nyas.12384.

Romero Marquez S, Hettler F, Hausinger R, Schreck C, Landspersky T, Henkel L, Angerpointner C, Demir IE, Schiemann M, Bassermann F, Götze KS, Istvánffy R, Oostendorp RAJ. Secreted factors from mouse embryonic fibroblasts maintain repopulating function of single cultured hematopoietic stem cells. Haematologica. 2021 Oct 1; 106(10): 2633-2640. doi: 10.3324/haematol.2020.249102.

Istvanffy R, Kröger M, Eckl C, Gitzelmann S, Vilne B, Bock F, Graf S, Schiemann M, Keller UB, Peschel C, Oostendorp RAJ. Stromal pleiotrophin regulates repopulation behavior of hematopoietic stem cells. Blood. 2011 Sep 8; 118(10): 2712-2722. doi: 10.1182/blood-2010-05-287235.

Scharler C, Poupardin R, Ebner-Peking P, Wolf M, Schreck C, Brachtl G, Cronemberger Andrade A, Krisch L, Daheron L, Schallmoser K, Jürchott K, Küchler J, Stachelscheid H, Volk HD, Oostendorp RAJ, Strunk D. Extra-hematopoietic immunomodulatory role of the guanine-exchange factor DOCK2. Commun Biol. 2022 Nov 15; 5(1): 1246. doi: 10.1038/s42003-022-04078-1.

Antonios Kolocouris | Computational Biophysics | Best Researcher Award

Published on 10/09/202416/09/2024 by Physicist Particle

Prof. Antonios Kolocouris | Computational Biophysics | Best Researcher Award

Prof. Antonios Kolocouris, National and Kapodistrian University of Athens, Greece

Professor Antonios Kolocouris is a faculty member in the Department of Pharmaceutical Chemistry at the Faculty of Pharmacy, National and Kapodistrian University of Athens. He is an expert in medicinal chemistry, focusing on the design and synthesis of antiviral agents, particularly targeting influenza and coronaviruses. His research includes structure-based drug design and molecular modeling, aiming to discover new therapeutics for viral infections. Prof. Kolocouris has authored numerous publications in peer-reviewed journals and has been involved in international collaborations to advance pharmaceutical science and antiviral drug development.

PROFILE

Scopus Profile

Orcid Profile

Educational Details

Professor Antonios Kolocouris earned his degree in Chemistry (MSc equivalent) from the National and Kapodistrian University of Athens (NKUA) in 1989, graduating with distinction (8.6/10). He pursued his PhD in Medicinal Chemistry at the Laboratory of Medicinal Chemistry, Department of Pharmacy, NKUA, from 1990 to 1995. Following his doctoral work, he conducted post-doctoral research at the same institution in 1997, focusing on synthetic medicinal chemistry. From 1997 to 2000, Prof. Kolocouris served as a post-doctoral researcher at the Laboratory of Molecular Biophysics, Institute of Chemical Biology, National Hellenic Research Foundation. His research there involved studying the conformation of Angiotensin II and its agonists and antagonists using NMR spectroscopy and molecular dynamics (MD) simulations, as well as the interactions of drug-lipid conjugates like AZT with model membranes. He also contributed to the structure elucidation of natural products using various biophysical methods.

Academic Positions:

Professor Antonios Kolocouris has had a distinguished academic career at the National and Kapodistrian University of Athens (NKUA), where he has been a faculty member in the Department of Pharmaceutical Chemistry. He began his tenure as a Lecturer in October 2000, advancing to Assistant Professor in April 2006. In March 2010, he secured tenure as an Assistant Professor in the Laboratory of Medicinal Chemistry. By May 2011, he was promoted to Associate Professor, and in May 2020, he attained the rank of full Professor. Throughout his career, Prof. Kolocouris has made significant contributions to the field of medicinal chemistry, particularly in drug design and development.

Research Visits:

Professor Antonios Kolocouris has engaged in numerous international research collaborations throughout his career, contributing to advancements in medicinal chemistry and drug design. In September 1999, he conducted dynamic NMR studies on hindered ring inversion and nitrogen inversion at University College London’s Department of Chemistry. In 2002 and 2004, at the University of Cambridge’s Department of Biochemistry, he utilized NMR and 19F NMR techniques to study the interactions of aminoadamantanes with influenza A M2 protein in liposomes and micelles. His work on docking calculations and molecular dynamics (MD) simulations continued at the University of Pisa in 2008 and 2009, focusing on aminoadamantane interactions with the influenza A M2 protein using AMBER software. In 2010, at the University of Zurich’s Department of Biochemistry, he applied MM-PBSA and LIE calculations with the CHARMM force field. His research expanded to include MM-PBSA calculations with AMBER at the University of Düsseldorf in 2012, deepening his exploration of influenza A M2 protein interactions with aminoadamantanes.

Research Activity:

Professor Antonios Kolocouris specializes in medicinal chemistry with a focus on membrane protein-ligand interactions. His research employs molecular dynamics (MD) simulations and advanced free energy calculation methods, including MM-PBSA, FEP/MD, and TI/MD, as well as NMR spectroscopy, to study these interactions in detail. He is also experienced in virtual screening of chemical libraries, using both structure-based and ligand-based approaches to identify potential bioactive compounds. Additionally, his work emphasizes the development of structure-activity relationships (SAR) and 3D quantitative structure-activity relationships (3D QSAR) to optimize ligand efficacy. His expertise extends to the chemical synthesis of bioactive ligands, further contributing to the field of drug discovery and design.

Research Areas:

Professor Antonios Kolocouris has conducted extensive research on the interactions of aminoadamantanes with the influenza A M2 protein, employing a variety of methods including NMR spectroscopy, ITC, electrophysiology, ssNMR, DSC, and antiviral assays. His studies have focused on both wild-type and amantadine-resistant strains of influenza A, utilizing molecular dynamics (MD) simulations and binding free energy calculations (FEP/MD, TI/MD, MM-PB(GB)SA) since 2002. Additionally, he has applied computational drug design techniques and synthesized aminoadamantanes and polar head heterocycle conjugates to combat these strains. His work in structure-based drug design includes virtual screening of chemical libraries for bioactive molecules targeting Adenosine Receptors, leading to the development of new selective antagonists. He has also mapped the orthosteric binding area of A3AR through mutagenesis, kinetic studies, and computational approaches. More recently, Prof. Kolocouris has focused on designing and synthesizing SQ109 analogues to inhibit the Mmpl3 bacterial transporter for treating neglected diseases, alongside earlier work on peptide conformational analysis using MD simulations and NOE experiments.

Top Notable Publications

Huang, X., Chorianopoulou, A., Kalkounou, P., Lougiakis, N., Ladds, G. (2024). “Hit-to-Lead Optimization of Heterocyclic Carbonyloxycarboximidamides as Selective Antagonists at Human Adenosine A3 Receptor.” Journal of Medicinal Chemistry, 67(15), 13117–13146.

Zorba, L.P., Stylianakis, I., Tsoureas, N., Kolocouris, A., Vougioukalakis, G.C. (2024). “Copper-Catalyzed One-Pot Synthesis of Thiazolidin-2-imines.” Journal of Organic Chemistry, 89(11), 7727–7740.

Stampelou, M., Ladds, G., Kolocouris, A. (2024). “Computational Workflow for Refining AlphaFold Models in Drug Design Using Kinetic and Thermodynamic Binding Calculations: A Case Study for the Unresolved Inactive Human Adenosine A3 Receptor.” Journal of Physical Chemistry B, 128(4), 914–936.

Georgiou, K., Konstantinidi, A., Hutterer, J., Gauglitz, G., Kolocouris, A. (2024). “Accurate Calculation of Affinity Changes to the Close State of Influenza A M2 Transmembrane Domain in Response to Subtle Structural Changes of Adamantyl Amines Using Free Energy Perturbation Methods in Different Lipid Bilayers.” Biochimica et Biophysica Acta – Biomembranes, 1866(2), 184258.

Watson, S.J., van der Watt, M.E., Theron, A., Oldfield, E., Birkholtz, L.-M. (2024). “The Tuberculosis Drug Candidate SQ109 and Its Analogs Have Multistage Activity against Plasmodium falciparum.” ACS Infectious Diseases.

Stylianakis, I., Zervos, N., Lii, J.-H., Pantazis, D.A., Kolocouris, A. (2023). “Conformational Energies of Reference Organic Molecules: Benchmarking of Common Efficient Computational Methods Against Coupled Cluster Theory.” Journal of Computer-Aided Molecular Design, 37(12), 607–656.

Stylianakis, I., Zervos, N., Lii, J.-H., Pantazis, D.A., Kolocouris, A. (2023). “Correction to: Conformational Energies of Reference Organic Molecules: Benchmarking of Common Efficient Computational Methods Against Coupled Cluster Theory.” Journal of Computer-Aided Molecular Design, 37(12), 657.

Tan, B., Liu, C., Li, K., Liu, W., Wang, J. (2023). “Structure-Based Lead Optimization of Enterovirus D68 2A Protease Inhibitors.” Journal of Medicinal Chemistry, 66(21), 14544–14563.

Stampolaki, Μ., Hoffmann, A., Tekwani, K., Schmidtke, M., Kolocouris, A. (2023). “A Study of the Activity of Adamantyl Amines Against Mutant Influenza A M2 Channels Identified a Polycyclic Cage Amine Triple Blocker, Explored by Molecular Dynamics Simulations and Solid-State NMR.” ChemMedChem, 18(16), e202300182.

Ismail Fathima | Solar Energy | Best Researcher Award

Published on 09/09/202416/09/2024 by Physicist Particle

Assist Prof Dr. Ismail Fathima | Solar Energy | Best Researcher Award

Assist Prof Dr. Ismail Fathima, Velammal college of engneering and technology, India

Ismail Fathima M is affiliated with Velammal College of Engineering and Technology, India. She is engaged in academic and research activities within the institution, contributing to the advancement of engineering education and technology. Her work at the college reflects a commitment to fostering innovation and excellence in the field of engineering.

PROFILE

Scopus Profile

Educational Details

Ismail Fathima M holds a diverse and extensive academic background. She completed her Ph.D. in Physics at Arul Anandar College, Madurai Kamaraj University, from 2016 to 2022, where she was highly recommended for her research work. Her educational qualifications also include an M.Sc. in Psychology from Tamil Nadu Open University (TNOU), achieved with a 64.2% score between 2013 and 2015. She earned an M.Phil. in Education from St. Xavier College of Education, Tamil Nadu Teacher Education University, with a 76% score (2012-2014), and an M.Ed. from St. Justin’s College of Education, Tamil Nadu Teacher Education University, where she obtained a 69% score (2011-2012). Additionally, she holds a B.Ed. from C.S.I College of Education, Madurai Kamaraj University (60%, 2007-2008). Her undergraduate studies include an M.Sc. in Physics from Madurai Kamaraj University (55.28%, 2010-2012) and a B.Sc. in Physics from Sri Meenakshi Govt College, Madurai Kamaraj University (75%, 2003-2006). Alongside her academic achievements, Ismail Fathima has technical qualifications including a Post Graduate Diploma in Computer Applications (PGDCA), Certificate in Library Procedures (CLP), and proficiency in TALLY 7.2. Her foundational education includes a Higher Secondary Certificate from Avvai Girls Higher Secondary School, Madurai (74%, 2001-2003), and a 10th-grade certificate from O.C.P.M. Girls Higher Secondary School, Madurai (79%, 2001).

Research Work:

Ismail Fathima M has pursued a range of research interests across her academic career. Her M.Ed. research focused on “Research Aptitude and Research Attitude among PG Students,” exploring the attitudes and skills necessary for effective research among postgraduate students. Her M.Phil. thesis examined the “Pedagogical Content Knowledge of Rural and Urban Physical Science Students,” comparing the teaching strategies and knowledge base between rural and urban students in the field of physical science. For her Ph.D. in Physics, she investigated “The Theory of Photonic Crystals Based Solar Cells,” delving into advanced concepts of photonic crystals to enhance the efficiency and performance of solar cells. Her diverse research endeavors reflect a deep commitment to both educational methodologies and cutting-edge scientific technologies.

Professional Experience:

Ismail Fathima M has held notable academic positions in the field of Physics. From 2021 to 2022, she served as an Assistant Professor of Physics at Madonna Arts and Science College for Women in Madurai, Tamil Nadu, where she contributed to the academic development of students. Following this role, she joined Mangayarkarasi College of Arts and Science for Women in Madurai, Tamil Nadu, as an Assistant Professor of Physics from 2022 to 2023, further advancing her teaching career. In the same year, she was promoted to the position of Associate Professor at Sethu Institute of Technology, where she continued to make significant contributions to the field of physicshttps://physicistparticle.com/ismail-fathima-solar-energy-best-researcher-award-1148/ and the academic community.

Top Notable Publications

“Crystallization Kinetics and Characterization of Solution-Grown Leucine Phthalic Acid Single Crystals”