Sayyed Majid mazinani – Graph Neural Networks – Best Researcher Award

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Sayyed Majid mazinani – Graph Neural Networks – Best Researcher Award

Assoc Prof Dr. Sayyed Majid Mazinani distinguished academic and researcher in the field Graph Neural Network.

Dr. Sayyed Majid Mazinani appears highly suitable for the Research for Best Researcher Award based on his extensive academic and research background.

🌐 Professional Profile

Educations📚📚📚

  • Ph.D. in Electrical Engineering Telecommunications from Ferdowsi University, Iran, specializing in Wireless Sensor Networks (WSN).
  • MSc in Electrical Engineering Telecommunications and BSc in Electrical Engineering Electronics, showcasing a solid educational foundation in his field.

Research Interests

  • Focus areas include Computer Networks, Wireless Sensor Networks, Data Communication Networks, and Artificial Intelligence Algorithms Applications. These are critical and contemporary fields in network science and graph analytics.

Teaching Experience

  • Significant teaching experience at both undergraduate and graduate levels in courses like Data Communication, Computer Networks, Wireless Sensor Networks, and Artificial Neural Networks.

Awards and Achievements

  • Provisionally selected for the “Best Researcher Award” at the 2024 International Research Award for Excellence in Network Protocols, Technology, and Communication.
  • Recognized as the Top Professor Researcher at Imam Reza International University in 2019 and 2020.
  • Received Best Paper awards at various national and international conferences.

📝🔬Publications📝🔬

Samantha Amanda Sathyapala – Behavioural Networks- Best Researcher Award

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Samantha Amanda Sathyapala – Behavioural Networks – Best Researcher Award

Dr. S.A. Sathyapala distinguished academic and researcher in the field Behavioural Networks. Amanda Sathyapala is a Senior Lecturer in the Airways Disease Section of the National Heart and Lung Institute of Imperial College London and a Consultant Respiratory Physician, and Clinical Lead of the Home Ventilation Service, at Harefield Hospital. Her clinical expertise is in sleep-disordered breathing, which includes obstructive sleep apnoea (OSA) and hypoventilation secondary to obesity and severe chronic lung disease, chest wall deformity or neuromuscular conditions, chronic respiratory failure and home nocturnal non-invasive ventilation. She is also accredited to deliver Cognitive Behavioural Therapy for Insomnia. Her current research is aimed at improving patient adherence to CPAP. She is Research Committee Lead for the British Sleep Society and sits on their Executive Board, is a member of the Regional Advisory Committee (RAC) for the RfPB London region NIHR funding scheme and reviews for the top ranked respiratory and muscle journals.

🌐 Professional Profiles

Educations📚📚📚

Dr Sathyapala is a tenured academic at Imperial College London and a practising respiratory physician, specialising in Sleep Medicine at Guy’s and St Thomas’s NHS Foundation Trust in London, in the UK. She qualified with First Class Honours in Pre-Clinical Medicine and an intercalated BSc in Experimental Psychology at Cambridge University and completed her Clinical Medicine training at Oxford University (1996-1999). She completed her junior doctor training in Oxford and London and her PhD at the Royal Brompton Hospital in London and Maastricht University, which was funded by aprestigious Wellcome Trust Clinical Research Training Fellowship. She then took up her permanent position at Imperial College London after winning one of 30 national awards in the final roundof a scheme to support clinical academics long-term.

Research Experience

Her early work from PhD until late 2018 was on Chronic Obstructive Pulmonary Disease (COPD). In the last five years,Dr Sathypala’s focus has been on improving patient adherence to Continuous Positive Airway Pressure (CPAP) in patients with obstructive sleep apnea (OSA). Her grouphave identified that there are six early patterns of behaviour inpatient starting CPAP and that these strongly predict adherence to CPAP at Month 3 of treatment which in turn strongly predicts long-term adherence.These refute previous thinking and will result in current recommendations for practicebeing changed.

🏆🏆Awards🏆🏆

She was awarded a Wellcome Trust Clinical Research Training Fellowship to complete her PhD (awarded 2011) in Professor Mike Polkey’s lab at the Royal Brompton Hospital, which also included a year abroad in the Netherlands, at Maastricht University in Professor Annemie Schols’ lab. Dr Sathyapala was awarded a HEFCE Clinical Senior Lectureship; since 2012, she has been a Senior Lecturer and a Principal Investigator at the NHLI and an Consultant Physician at the Royal Brompton and Harefield NHS Foundation Trust. She was elected as Fellow to the Royal College of Physicians in April 2015.

 

Research interests

Dr Sathyapala’s research relates to adherence to CPAP in patients with OSA which is low based on existing data from trial participants. Her group have demonstrated that CPAP adherence rates are very low in clinical cohorts across the UK, between 27-50% in 2019 and 29-51% in 2020 and described a novel model of CPAP adherence behaviour. Her team are current developing a healthcare intervention for NHS sleep services to provide patients when starting CPAP to increase patients’ adherence to CPAP.

PREVIOUS RESEARCH

Dr Sathyapala’s work has previously been on skeletal muscle dysfunction in COPD and in other chronic diseases, in particular to identify molecular mechanisms which underlie premature muscle fatigue hence exercise intolerance and which are amenable to drug treatment. This is a small field but one of growing importance as skeletal muscle dysfunction is an important cause of frailty, which is a growing problem in ageing populations. To raise awareness of importance of this problem and to foster collaborative working between basic and clinical scientists with common interests, Dr Sathyapala hosted the first international symposium on ‘Skeletal muscle oxidative metabolism as a target for treating human disease’ at the NHLI in 2016.

📝🔬Publications📝🔬

 

Rayhane Sadeghi – Network Visualization- Women Researcher Award

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Rayhane Sadeghi – Network Visualization

Ms.  Rayhane Sadeghi distinguished academic and researcher in the field  Network Visualization. Her research interests lie at the intersection of physics and computer science, with a focal point on machine learning and its applications in solar physics research and astronomy. She is particularly intrigued by the dynamic behavior of the Sun and its implications for space weather and our comprehension of the universe.

 

🌐 Professional Profiles

Educations: 📚🎓

She pursued her academic journey in Physics with a specialization in Plasma from 2019 to 2022 at Payam e Noor University and Amirkabir University of Technology in Tehran, Iran. Her thesis focused on investigating the dynamic behavior of solar chromospheric bright points within network Python frameworks and internetwork Energy Engineering-Radiation applications. Prior to her M.Sc, she completed her undergraduate studies from 2010 to 2014 at the Karaj Branch of Islamic Azad University in Iran, majoring in Electrical Engineering-Electronics. Her thesis during this period explored the application of wavelet transform in power quality evaluation, blending mathematics and physics. Before her undergraduate studies, she attended the National Organization for Development of Exceptional Talents (NODET) from 2003 to 2010 in Karaj, Iran.

Research Fields:

One area of particular interest to her is the utilization of machine learning techniques to analyze data from the IRIS and HINODE spacecraft. These missions have bestowed unprecedented views of the Sun’s atmosphere, generating vast datasets exploitable for studying a myriad of phenomena, from magnetic reconnection events to coronal loop dynamics. Additionally, she harbors curiosity about amalgamating physics and computer science in diverse research realms, such as formulating new algorithms for astronomical data analysis or employing machine learning to model intricate physical systems.

Within the realm of solar physics, she aims to delve into various topics, encompassing the mechanisms propelling the Sun’s magnetic field, the characteristics of solar flares and coronal mass ejections, and the interplay between the solar wind and the Earth’s magnetosphere. Through the development of novel tools and techniques for scrutinizing solar data, she aspires to enrich our comprehension of these phenomena and contribute to the broader expanse of space science.

In sum, she is eager to pursue a PhD in this domain and collaborate with leading researchers to craft innovative methods for investigating the Sun and other celestial entities. She holds the conviction that the amalgamation of physics and computer science offers a potent avenue for advancing our cosmic understanding and devising inventive solutions to intricate problems. As a dedicated and impassioned researcher, she is resolute in her commitment to making significant strides in this field and propelling our understanding of the cosmos.

Award

She is a remarkable individual, recognized as the top graduate in both the first district of Payame Noor University and across Tehran province. Her excellence extends beyond academia, as demonstrated by her achievements, including winning the 22nd Khwarizmi Youth Awards for her innovative work on Alborz state security robots. Additionally, she has been honored with certificates from prestigious competitions such as the Demo of 3rd Iran Open Robotic Competition at QIAU and the 5th Smart Mice and Robotic Competition at Islamic Azad University, Tabriz Branch. Her dedication and ingenuity in the field of robotics showcase her as a standout talent in her field.

 

Conference

She is an accomplished researcher who has made significant contributions to various scientific symposiums and conferences. Her expertise spans multiple disciplines, including physics, solar physics, and geophysics. Notably, she has presented oral presentations and posters on topics such as characterizing solar spicules, exploring damping properties of iris bright points, and investigating magnetic bright point characteristics. Her use of advanced techniques like machine learning, deep learning, and spectral analysis highlights her innovative approach to research. Additionally, her presentations on topics such as geometric components of resistivity measurement and the performance of well logging tools demonstrate her proficiency in geophysical investigations. With her collaborative efforts in poster presentations, she showcases her ability to work effectively within research teams. Overall, her contributions to the scientific community underscore her as a dedicated and accomplished researcher in her field.

 

 📚Top Noted Publication

Hongxia Song – Graph Analytics- Best Researcher Award

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Hongxia Song – Graph Analytics

Dr. Hongxia Song   distinguished academic and researcher in the field Graph Analytics.  Song Hongxia, born in 1979 in Changzhi, Shanxi, is a highly accomplished individual with a Ph.D. and the title of associate professor, specializing in vegetable cultivation and stress physiology. Serving as a master’s supervisor, she is deeply involved in research on horticultural plant functional substance mining and product development. Song Hongxia holds the esteemed position of a post expert in the Shanxi Vegetable Industry System and is an active member of the Professional Technical Committee of Agricultural Products and Animal Husbandry Inspection and Testing in the Shanxi Inspection and Testing Alliance. Additionally, she contributes to standardization efforts as a member of the Standardization Committee in Jinzhong City.

Recognized for her exceptional contributions, Song Hongxia has received various accolades, including the title of “One hundred Gold Medal Lecturers” by the Shanxi Provincial Department of Agriculture. Her expertise extends to leadership roles, where she serves as the Chief Expert of Shilou County and holds the distinguished title of Expert in the Expert Group of Jinzhong Rural Revitalization Association. Notably, she is acknowledged as a Distinguished Expert in Shangdang District, Taigu District, and Zezhou County, showcasing her commitment and impact in the field of agriculture and rural development.

Eduvation

She embarked on her academic journey in 1998, pursuing a Bachelor’s degree in Horticulture and Economic Management at Shanxi Agricultural University. Demonstrating a strong commitment to her field, she continued her studies at the same institution and earned a Master’s degree in Vegetable Science from 2002 to 2005. Undeterred in her pursuit of knowledge, she further advanced her academic qualifications by undertaking a Ph.D. in Vegetable Science at Shanxi Agricultural University from 2011 to 2015. Throughout her educational trajectory, she exhibited a dedicated focus on horticulture and vegetable science, laying the foundation for her subsequent contributions to these domains.
Professional Profiles:

Professional Experience

She has accumulated a wealth of professional experience, currently holding the position of Associate Professor in the Department of Vegetables at the College of Horticulture, Shanxi Agricultural University, a role she has undertaken since 2017. Prior to her current position, she served as a Lecturer in the same department from 2008 to 2017, showcasing her commitment to academic and professional growth. Her journey in academia began as an Assistant Professor in the Department of Vegetables at the College of Horticulture, Shanxi Agricultural University, where she contributed from 2005 to 2008. Across these roles, she has played a pivotal role in the academic and research endeavors related to vegetables, enriching both her expertise and the educational landscape at the university.

Teaching and scientific research projects

She has been actively involved in a multitude of research and educational initiatives, showcasing her leadership and expertise in the field. In 2023, she assumed the role of principal investigator for the “Research and Practice of Smart Teaching Reform of ‘Vegetable Science Experiment'” (Project No: J20230323), which is part of the Shanxi Provincial Higher Education General Teaching Reform and Innovation Project. Her dedication to advancing education is further evident as the course leader for “Vegetable Cultivation,” a course recognized as an offline first-class offering in Shanxi Province in 2022.

In 2021 and continuing into the present, she holds the esteemed position of a position expert within the vegetable industry technology system in Shanxi Province, underlining her influence in shaping the technological landscape of the local industry. Her commitment to innovation is demonstrated through her leadership as the principal investigator for the “Integration and Demonstration of Efficient Production Technology for Fruits and Vegetables in Facilities” (Project No: XDHZRCZXY-04) under the College of Talent Revitalization at Shanxi Agricultural University in 2023.

Additionally, she actively contributes to addressing critical challenges in the field, such as the participation in the key R&D project of Shanxi Province titled “Research on key technologies for overcoming temperature and light stress obstacles and environmental regulation of fruits and vegetables” (Project No: 202102140601013). Through her multifaceted involvement in research, education, and technology integration, she continues to make significant strides in advancing the understanding and application of vegetable science.

Textbooks

Vegetable Seedling science, China Agriculture Press, 2014, Editor-in-Chief

Honorable achievements

1. Technical Regulations for Drought-resistant and Light Simplified Cultivationof Pepper in Open Field Shanxi Province Local Standard (DB 14/T 2412-2022), Shanxi Provincial Agricultural Standardization Technical Committee, 2022, No. 1. 2.Technical Regulations for Dryland Tomato Cultivation, Shanxi Provincial Local Standard (DB 14/T 2064—2020), Shanxi Provincial Agricultural Standardization Technical Committee, 2020, No. 1. 2. “2+1+1” School-Enterprise (Institute) Joint Talent Training Model, Special Prize for Teaching Achievements in Shanxi Provincial Colleges and Universities, Shanxi Provincial Department of Education, 2018, fourth. 3. Technical specification for efficient carbon sequestration production of celeryin solar greenhouse, Shanxi Provincial Local Standard (DB 14/T 1555-2018), Shanxi Provincial Agricultural Standardization Technical Committee, 2018, first. 4.Technical specification for efficient carbon sequestration production of carrots in early spring in solar greenhouse, Shanxi Provincial Local Standard (DB14/T1284-2016), Shanxi Provincial Agricultural Standardization Technical Committee, 2016, No. 1. 5. One of the “100 Gold Medal Teachers”, Shanxi Provincial Department of Agriculture, 2020. need bullats

Patents

Song Hongxia, Yang Yanwei, Li Yanping, Li Meilan, Hou Leiping, Lu Qiang. Acooking and crushing device for producing tomato paste, 2021.1.15. China, ZL20202 14856687
Song Hongxia, Li Meilan, Hou Leiping, Xu Xiaoyong, Nie Hongmei. . Asupport
for tomato planting, 2021.4.23. China, ZL 2020 2 1050095.5 2021.01

Publication

1. Hongxia Song, QiangLu, Tianyue Song, et al. Study on the Mechanism of Carotenoid
Production and Accumulation in Orange Red Carrot (Daucus carota L.). Scientia
Horticulturae, 327(3). doi: org/10.1016/j.scienta.2023.112825(2024)

2. Song H, Wu P, Lu X, Wang B, Song T, Lu Q. (2023) Comparative physiological and
transcriptomic analyses reveal the mechanisms of CO2 enrichment in promoting the growthand quality in Lactuca sativa. PLoS ONE 18(2): e0278159. doi:10.1371/journal.pone.0278159

3. Hongxia Song, Qiang Lu, Leiping Hou, Meilan Li. The genes crucial to carotenoidmetabolism under elevated CO2 levels in carrot (Daucus carota L.). Sci Rep. 2021 Jun 8;
11(1):12073. doi: 10.1038/s41598-021-91522-7.

4. Hongxia Song, Qiang Lu & Xiaoyu Guo Identification of candidate genes associated with JAunder elevated CO2 in carrot (Daucus carota L.). Biotechnology & Biotechnological
Equipment, 2021, 35 (1), 1065–1075.

5. Hongxia Song; Yanling Li; Xiaoyong Xu; Jing Zhang; Shaowen Zheng; Leiping Hou;
Guoming Xing; Meilan Li. Analysis of genes related to chlorophyll metabolismunder
elevated CO2 in Cucumber (Cucumis sativus L.), Scientia Horticulturae, 261(5). doi: org/10

 

 

Cheryl E Praeger – Graph Network symmetry – Lifetime Achievement Award

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Prof. Cheryl E Praeger  a distinguished academic and researcher in the field of Graph Network Symmetry .  Cheryl E Praeger is Emeritus Professor of Mathematics, retiring in 2017 after 40 years service to UWA. She now focuses on research and research supervision in Group Theory and Combinatorics, in her role as Senior Honorary Research Fellow. In addition she is a member of the National Science and Technology Council (2022-2025).

In 2021 she was appointed Companion of the Order of Australia “for eminent service to mathematics, and to teriary eduction, as a leading academic and researcher, to international organisations, and as a champion of women in STEM careers”. She had previously been appointed a Member of the Order (AM) in 1999.(Graph)

Professor Praeger has won many distinguished awards, recognising her as one of Australia’s leading mathematicians. Many of her roles and awards marked a first for a woman: President of the Australian Mathematical Society (1992-1994), Lyle Medal of the Australian Academy of Science (2013, first awarded in 1935).

 

Eduvation

prof. Cheryl E Praeger  earned her Bachelor of Science with Honors in Mathematics from the University of Queensland, Australia, in 1970. Following that, in 1972, she pursued dual Master’s degrees, obtaining one from the University of Oxford, UK, and another from the University of Queensland, Australia. In 1973, she achieved her Doctor of Philosophy (D.Phil) degree from the University of Oxford, UK. Later in 1989, she furthered her academic achievements by earning a Doctor of Science (D.Sc) from the University of Western Australia. With a rich educational background spanning (Graph) multiple prestigious institutions, she has demonstrated a commitment to scholarly pursuits and academic excellence throughout her career.

Professional Profiles:

Awards

Professor Praeger was also the first pure mathematician, and the first Western Australian to receive the Prime Minister’s Prize for Science (2019); the first pure mathematician to win an ARC Federation Fellowship (2007-2012), or be named as WA Scientist of the Year (2009), or be inducted into the Western Australian Science Hall of Fame (2015). She is the inaugural recipient of the Ruby Payne-Scott Medal of the Australian Academy of Science (1921).

Over the span of 2009 to 2023, she has garnered a remarkable array of awards and distinctions, showcasing her outstanding contributions to the fields of science and mathematics. Notably, in 2023, she was honored as a Fellow of the International Science Council. In 2021, she received the prestigious Ruby Payne-Scott Medal from the Australian Academy of Science and was appointed a Companion of the Order of Australia (AC).(Graph)

Her global recognition includes being named a Kirk Distinguished Visiting Fellow at the Isaac Newton Institute in Cambridge, UK, in 2020. Among her numerous accolades, she was awarded the (Australian) Prime Minister’s Prize for Science in 2019 and received an Honorary Doctorate from Primorska University in Slovenia in 2018. Her influence extends worldwide, with honors such as the Mehdi Behzad Prize from the Iranian Mathematical Society in 2015 and being named a Fellow of the American Mathematical Society in 2012. These distinctions underscore her exceptional impact on the scientific community and her commitment to advancing knowledge and education.

Research

Professor Praeger’s research is on the theory of group actions and their applications in Algebraic Graph Theory and to Combinatorial Designs and other areas of Discrete Mathematics and Geometry; and algorithms for group computation including questions in statistical group theory and algorithmic complexity. Her mathematical work has been published in more than 400 journal articles and five monographs.

Her list of Publications can be found at https://cherylpraeger.github.io/research.html

A discussion website for her book ‘Permutation groups and cartesian decompositions’ with Csaba Schneider in 2018 by Cambridge University Press is here:  https://schcs.github.io/WP/index.php/book/

Current projects

  • ARC Discovery project (DP200100080) Exceptionally symmetric combinatorial designs (2020-2023)
  • ARC Discovery project (DP190100450) Complexity of group algorithms and statistical fingerprints of group (2019-2022)
  • Isaac Newton Institute Cambridge, (supported by EPSRC grant no. EP/R014604/1) Groups, representations and applications: new perspectives (2020; and 2022)

Selected Academic Services and Functions (2009-2022)

From 2009 to 2022, she has been actively engaged in various prestigious academic roles and functions. Notably, she served as the Chair of the Australian Council of Heads of Mathematical Sciences from 2009 to 2011 and later contributed as a member of several international committees and councils. Her involvement extended to the Australian Academy of Science, where she held the position of Foreign Secretary from 2014 to 2018, and she was a member of the Australian Government’s National Science and Technology Council from 2022 to 2025. Additionally, she made significant contributions to the global scientific community, participating in committees such as the International Mathematical Union Committee for Women in Mathematics and the Committee for Freedom and Responsibility in Science under the International Science Council. Her leadership was evident as the Chair of Subpanel 18 on the Program Committee for the International Congress of Mathematicians from 2015 to 2018 and as a member of various executive boards and committees advocating for the representation of women in science and engineering. Through her roles, she has played a crucial part in shaping international scientific collaboration and promoting diversity in mathematical disciplines.

Previous positions

Prior to appointment at The University of Western Australia she held a Research Fellowship at the Australian National University and taught for a semester at the University of Virginia. She taught in the Mathematics and Statistics program at UWA and was Head of the Department of Mathematics 1992-1994, inaugural Dean of Postgraduate Research Studies 1996-1998, Chair Promotions and Tenure Committee 2000-2004, Deputy Dean of the Faculty of Engineering Computing and Mathematics 2003-2006, ARC Professorial Fellow 2007, and Inaugural Director of the UWA Centre for the Mathematics of Symmetry and Computation 2010-2013.

Previous positions

  • Australian Mathematical Olympiad Committee, Chair (1999-2019), Deputy Chair (1996-98, 2020),   https://www.amt.edu.au/olympiad-committees
  • Committee for the Freedom and Responsibility in Science, International Science Council (2019-2022) https://council.science/what-we-do/
  • Executive Board AASSA (Association of Academies and Societies for scinces in Asia) (2016-2021) https://aassa.asia/ and  Special Committee for Women in Science and Engineering (Chair 2016-2021, ex-officio member 2022-2024)

Publication

A classification of the maximal subgroups of the finite alternating and symmetric groups

MW Liebeck, CE Praeger, J Saxl
Journal of Algebra 111 (2), 365-383 –

Finite transitive permutation groups and bipartite vertex-transitive graphs

CE Praeger
Illinois Journal of Mathematics 47 (1-2), 461-475 – 2003

Line graphs and -geodesic transitivity

A Devillers, W Jin, CH Li, CE Praeger
arXiv preprint arXiv:1201.4297 – 2012

On imprimitive rank 3 permutation groups

A Devillers, M Giudici, CH Li, G Pearce, CE Praeger
Journal of the London Mathematical Society 84 (3), 649-669

On normal 2-geodesic transitive Cayley graphs

A Devillers, W Jin, CH Li, CE Praeger
Journal of Algebraic Combinatorics 39, 903-918

 

Hayatullah Mushwani – Graph Analytics -Graph Analytics Research Excellence Award

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Mr. Hayatullah Mushwani a distinguished academic and researcher in the field of Graph analytics. He is a dedicated lecturer at Kabul University in the Environmental Faculty’s Department of Disaster Management, specializing in the comprehensive study of disasters. Holding both Bachelor’s and Master’s degrees in Disaster Management, his academic journey has been driven by a passion for understanding and addressing complex challenges. His research pursuits are anchored in the critical domains of disasters, focusing on risk assessment, evaluation, education, climate change, Disaster Risk Reduction (DRR), and the pivotal role of early warning systems. He aims to contribute significantly to the field through insightful research and by nurturing the next generation of disaster management professionals.

 

Eduvation

In May 2023, he completed his Master of Disasters Preparedness, Mitigation, and Management at the Asian Institute of Technology (AIT) in Bangkok, Thailand. The program covered a diverse range of subjects, including disaster management, natural resource management, environmental protection, conflict resolution, climate change, monitoring and evaluation, and humanitarian need assessment. Prior to his master’s degree, he earned his Bachelor of Environmental Science from the Environmental Science Faculty at Kabul University in Kabul. His undergraduate studies focused on crucial areas such as disasters risk reduction, risk assessment, research methodology, and environmental protection. With this comprehensive educational background, he is well-equipped to contribute significantly to the field of disaster management, leveraging his expertise in various aspects of preparedness, mitigation, and environmental sustainability.

Professional Profiles:

Short Term Trainings

He holds a membership at the Acquaint Humanitarian organization in the United States of America (USA), bringing a diverse and extensive background in outcome-based learning and disaster management training. In 2019, he completed Outcome-based Learning Education Training at Kabul University, demonstrating a commitment to effective education practices. Subsequently, in 2021, he acquired School Safety Training and participated in Disaster Resilience programs conducted by the Ministry of Home Affairs, Government of India. Expanding his expertise globally, he pursued Disaster Risk Reduction studies at the Faculty of Geography, University Gadiah Mada in Indonesia in 2022. The same year, he further enriched his knowledge through Disaster Management Training at Kyoto University, Japan. In 2023, he focused on addressing contemporary challenges, completing Harassment Training at the Asian Institute of Technology (AIT) in Thailand. Additionally, he delved into Disaster Risk Reduction based on Q-GIS at CWSA, Japan, showcasing a dedication to staying current with the latest advancements in disaster preparedness and humanitarian efforts.

AREAS OF INTEREST

Disaster Management, Natural Resource Management, Environmental Protection, Risk Assessments,
Humanitarian Assistance Management, Education and WASH displaced communities by conflict and natural
hazard, Resources Governance and Management, M&E.

AREAS OF EXPERTISE

waste Management, Climate change and food security, mining, DRR and Development,

HONOR

He has earned a series of honors and accolades, underscoring his commendable contributions in various domains. In 2019, he received a Letter of Appreciation from the Sharq Higher Education Institute in Kabul, Afghanistan, recognizing him as the Best Lecturer. This acknowledgment reflects his commitment to excellence in education. In 2022, he garnered another Letter of Appreciation from Loaita, Singapore, commending his outstanding performance on a Habitat for Humanity project, showcasing his dedication to community service.

His prowess as a lecturer was once again acknowledged in 2019 by the Sharq Higher Education Institute in Kabul, Afghanistan. More recently, in 2023, he received a Letter of Appreciation from the Acquaint organization in the USA, recognizing him as the Best Volunteer in Human Rights, highlighting his active involvement in humanitarian efforts. Additionally, REST Publisher in India acknowledged his expertise in 2023, presenting him with a Letter of Appreciation for his role as the Best Articles Evaluator, showcasing his proficiency in the evaluation of scholarly work. These honors collectively attest to his multifaceted contributions and commitment to excellence in various fields.

WORK EXPERIENCE

(2018 – Up to Now) Assistant Professor at Disaster Management Department Kabul University, Kabul (https://ku.edu.af) ▪ Delver Lecturers to Disasters Management, Natural Resource Management, and Environmental Protections Department students ▪ Head of Faculty of Environment Examination committee ▪ Member of the Cultural committer at Environment Faculty, Kabul University ▪ Member of the Research Committee at Environment Faculty, Kabul University ▪ Member of the Electronic committee at the Environment Faculty, Kabul University Conducted Research, Plan, and Policy Development, and Training delivers (2022 – TO March 2023)

Publication
  • MULTI-HAZARD RESILIENCE OF HIGHER EDUCATIONAL INSTITUTIONS IN ASIA PACIFIC                                                  2023 | Book chapte   CONTRIBUTORS: Hayatullah Mushwani

  • The Current State of Early Warning System in South Asia: A Case Study of Afghanistan                                               International Journal of Disasters Risk Reduction

    2023-12-17 | Review
    DOI: 10.2139/ssrn.4596891
    CONTRIBUTORS: Hayatullah Mushwani; Mokbul Morshed Ahmad; kawoon sahak; Mohammad Haroon Hairan

  • Review of Afghanistan’s Economic Development Status during Republic Government (from 2001-2021)                   

    International Journal of Multiculturaland Multireligious Understanding
    2023-03-03 | Review
    CONTRIBUTORS: Hayatullah Mushwani
  • The current state of early warning system in South Asia: A case study of Afghanistan
  •  Chitral Gol National Park; A paradise or threat for biodiversity conservation and socioeconomic conditions of local societies
  •  Afghanistan Economic Development review from 2000 to 2022
  • ▪ Evaluation of Drought Socio-economic Impacts in the Central Region of Afghanistan

  Dr. Saeid Shabanlou | Graph Data Structures

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  Dr. Saeid Shabanlou – Graph Data Structures

Academician/Research Scholar

Congratulations,Dr. Saeid Shabanlou- Graph Data Structures and Algorithms , on winning the esteemed Best Researcher Award from Sfconference! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

Wishing you continued success and many more milestones in your illustrious research journey. Your impact on the field is truly commendable and serves as a beacon of inspiration for aspiring researchers.

Warmest congratulations once again on this well-deserved recognition!

 

Professional Profiles:

Education:

    • Kermanshah Branch, Islamic Azad University
    • Saeid Shabanlou currently works at the Department of Water, Islamic Azad University Kermanshah Branch. Saeid does research in Water Resources, Environmental Engineering and Civil Engineering. Their current project is ‘WEAP 2015 Water Evaluation And Planning System.’

publication;

1. Simulation of groundwater level using MODFLOW, extreme learning machine and Wavelet-Extreme Learning Machine models
2. Combination of computational fluid dynamics, adaptive neuro-fuzzy inference system, and genetic algorithm for predicting discharge coefficient of rectangular side orifices.

3.A novel approach for prediction of monthly ground water level using a hybrid wavelet and non-tuned self-adaptive machine learning model

4.Free surface and velocity field in a circular channel along the side weir in supercritical flow conditions

5.A pareto design of evolutionary hybrid optimization of ANFIS model in prediction abutment scour depth

6.The flow pattern in triangular channels along the side weir for subcritical flow regime

7.A comparative study of artificial intelligence models and a statistical method for groundwater level prediction

8.A novel approach using CFD and neuro-fuzzy-firefly algorithm in predicting labyrinth weir discharge coefficient

9.Determining the scour dimensions around submerged vanes in a 180 bend with the gene expression programming technique

10.Modelling qualitative and quantitative parameters of groundwater using a new wavelet conjunction heuristic method: wavelet extreme learning machine versus wavelet neural networks