Hayatullah Mushwani – Graph Analytics -Graph Analytics Research Excellence Award

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
    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

Xin Li – Random Graph Models

Dr. Xin Li  – Leading Researcher in Random Graph Models

 

Assist Prof Dr. Xin Li has held the position of Associate Professor in the School of Mechanical and Electrical Engineering at China University of Mining and Technology. Concurrently, since March 2023, he has also taken on the role of Postdoc Researcher at Zhejiang University and China University of Mining and Technology within the School of Mechanical Engineering. This dual academic engagement underscores his commitment to advancing research and contributing to the academic communities at both institutions.

Education📚

📚 Embarking on an academic journey, he pursued his passion for Mechanical Engineering at Qingdao University of Technology, earning a Bachelor of Arts degree from the School of Mechanical Engineering in the period spanning September 2012 to July 2016. Building upon this foundation, he delved deeper into the intricacies of the field at Hunan University, where he successfully completed his Ph.D. in Mechanical Engineering within the College of Mechanical and Vehicle Engineering from September 2016 to July 2022. This educational odyssey reflects his steadfast dedication to scholarly pursuits and the continual pursuit of knowledge. 🎓

 

Professional Profiles:

RESEARCH INTERESTS

Random Graph Models; Intelligent fault diagnosis; Machine learning; Complex systems🌞

EDITORIAL BOARD
Journal of Dynamics, Monitoring and Diagnostics
Frontiers in Mechanical Engineering

AWARDS

🏆 In recognition of his outstanding contributions to academia and research, he has been honored with a series of prestigious grants and awards. Notably, he secured the National Social Science Foundation Youth Project (62206298) for the period 2022-2025, demonstrating his prowess in the field. Further bolstering his research endeavors, he received support from the Fundamental Research Funds for the Central Universities (20230N1048) in 2023-2024. His commitment to advancing scientific knowledge is also evident through grants from the China Postdoctoral Science Foundation and the Postdoctoral Science Foundation of Zhejiang Province for the years 2023-2025. In addition, he has been recognized by the Natural Science Foundation of Jiangsu Province for the period 2023-2026, solidifying his position as a respected researcher. The accolades continue with the acknowledgment of his contributions to the academic community through the China University of Mining and Technology’s “Sailing Plan” for Young Teachers (102523236) in 2023-2024, as well as the Hunan Graduate Research Innovation Project (CX20200406) for the academic year 2021-2022. These accolades underscore his dedication and success in pushing the boundaries of knowledge in his field. 🌟

TEACHING EXPERIENCE

2023 Spring Engineering Measurement Technology
2022 Autumn Equipment health management and intelligent O&M (Graduate)

SELECTED PUBLICATIONS

Li X, Yang Y, Wu Z, et al. High-accuracy gearbox health state recognition based on graph sparse
random vector functional link network[J]. Reliability Engineering & System Safety, 2021:
108187.
Li X, Li S, Wei D, Si L, Yu K, Yan K. Dynamics Simulation-driven Fault Diagnosis of Rolling
Bearings Using Security Transfer Support Matrix Machine. Reliability Engineering & System
Safety. 2023:109882.
Li X, Cheng J, Shao H, et al. A Fusion CWSMM-based Framework for Rotating Machinery
Fault Diagnosis under Strong Interference and Imbalanced Case[J]. IEEE Transactions on
Industrial Informatics, 2021, 18(8): 5180-5189.
Li X, Shao H, Lu S, et al. Highly-efficient fault diagnosis of rotating machinery under timevarying speeds using LSISMM and small infrared thermal images[J]. IEEE Transactions on
Systems, Man and Cybernetics: Systems, 2022, 52(12): 7328-7340.

Symplectic geometry packet decomposition and its applications to gear fault diagnosis

J Cheng, Y Yang, X Li, J Cheng
Mechanical Systems and Signal Processing 174, 109096

 

Shahid Alam – Network science

Dr. Shahid Alam – Leading Researcher in Network Science

Education📚

🎓 He pursued his academic journey in the field of Applied Physics, culminating in a Ph.D. from the GIK Institute of Engineering Sciences and Technology (GIKI), Pakistan, spanning from August 2018 to July 2021. Prior to that, he earned his Master’s degree in Applied Physics at GIKI, completing the program from January 2016 to April 2018. His educational foundation in Physics was laid during his undergraduate years, where he obtained a Bachelor of Science (Hons) in Physics from Hazara University, Mansehra, Pakistan, from September 2011 to August 2015. These years of dedicated study and research have equipped him with a strong academic background and a passion for the applied sciences. 📚🔬

 

Professional Profiles:

RESEARCH EXPERIENCE

🎓 He embarked on a fascinating research journey as a Ph.D. researcher from August 2018 to July 2021 at the Nanotechnology Research Laboratory, GIK Institute in Pakistan. Delving into the captivating realm of nanotechnology, his focus centered on unraveling the synergistic potential inherent in the combination of metal phosphates and sulfides. This exploration was driven by the aspiration to unearth novel applications in the realm of supercapattery devices, propelling the boundaries of energy storage technology.

🔬 During his tenure as an MS research student from July 2016 to April 2018 at GIK Institute, he dedicated himself to investigating innovative approaches in the field. His research endeavor revolved around the fabrication of inverted perovskite solar cells, where Cadmium Sulphide played a pivotal role as the electron transport layer. This pursuit was not merely an academic endeavor; rather, it was a passionate quest to contribute to the advancements in solar energy technology, seeking sustainable solutions for a brighter and cleaner future. 🌞

CAREER HISTORY

🎓 He has a diverse and enriching career history that spans various roles in academia and research. Since September 2021, he’s been serving as an Assistant Professor in the Department of Physics at Abbottabad University of Science and Technology in Havelian. In addition to his teaching responsibilities, he’s taken on the role of Departmental Controller of Examination since April 2022, overseeing internal examinations within the Department of Physics.

His journey in academia began as a Graduate Assistant at the GIK Institute of Engineering Sciences and Technology, Pakistan, where he was involved from January 2016 to January 2018. This early experience laid the foundation for his subsequent roles and allowed him to contribute meaningfully to the academic and research community. 🌐🔬

PUBLICATIONS
  1. Advancements in asymmetric supercapacitors: Material selection, mechanisms, and breakthroughs with metallic oxides, sulfides, and phosphates – Journal of Energy Storage, 2023, 72, 108208
  2. Binary composites of strontium oxide/polyaniline for high performance supercapattery devices
    MZ Iqbal, S Alam, AM Afzal, MJ Iqbal, K Yaqoob, MA Kamran, MRA Karim, …
    Solid State Ionics 347, 115276
  3. Green synthesis of nickel‐manganese/polyaniline‐based ternary composites for high‐performance supercapattery devices
    S Alam, MZ Iqbal, J Khan
    International Journal of Energy Research 45 (7), 11109-11122
  4. Binary composites of nickel-manganese phosphates for supercapattery devices
    M Alzaid, MZ Iqbal, S Alam, N Almoisheer, AM Afzal, S Aftab
    Journal of Energy Storage 33, 102020
  5. Recent advancement in the performance of solar cells by incorporating transition metal dichalcogenides as counter electrode and photoabsorber
    MZ Iqbal, S Alam, MM Faisal, S Khan
    International Journal of Energy Research 43 (8), 3058-3079
  6. Binary composites of sonochemically synthesized cobalt phosphates/polyaniline for supercapattery devices
    F Alam, MZ Iqbal, S Alam, N Alhassan
    Journal of Energy Storage 42, 103150
  7. Magnetron sputtered tungsten di-sulfide: An efficient battery grade electrode for supercapattery devices
    S Alam, MZ Iqbal, N Amjad, R Ali, M Alzaid
    Journal of Energy Storage 46, 103861
  8. Exalted redox frameworks of Cu-MOF/polyaniline/RGO based composite electrodes by integrating silver nanoparticles as a catalytic agent for superior energy featured supercapatteries
    M Roman, SSA Gillani, S Farid, M Shakil, R Ahmad, MZ Iqbal, MM Faisal, …
    Electrochimica Acta 400, 139489
  9. Enhanced electrochemical performance of battery‐grade cobalt phosphate via magnetron sputtered copper interfacial layer for potential supercapattery applications
    MZ Iqbal, J Khan, S Alam, R Ali, MJ Iqbal, AM Afzal, S Aftab
    International Journal of Energy Research

 

 

  Dr. Saeid Shabanlou | Graph Data Structures

  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

Chun Cao | Network Science

  Dr.  Chun Cao – Network Science

Academician/Research Scholar

Congratulations,Dr.  Chun Cao – Network Science , 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:

    • Doctor degree of medicine in West China Clinical Medical School of Sichuan univeresity.
    • Major; Hematology (Stem cell transplantation)
    • Bechelor and Master degree of Medicine in West china Clinical Medical School of sichuan University.

Awards:

1.The second prize for Medical bilingual lecture contest in the second affiliated Hospital of chongqing Medical university.

2.The best teaching plan award for Medical bilingual lecture contest in the second affiliated Hospital of chongqing Medical university.

publication;

1. Cao C, Wang T, Luo Y, Zhang Y, Dai YY, Shen Y. Comprehensive analysis of cuproptosis-associated LncRNAs predictive value and related CeRNA network in acute myeloid leukemia. Heliyon. 2023;9(12):e22532. Published 2023 Nov 25. doi:10.1016/j.heliyon.2023.e22532
2. Cao C, Zhang L, Sorensen MD, et al. D-2-hydroxyglutarate regulates human brain vascular endothelial cell proliferation and barrier function [published correction appears in J Neuropathol Exp Neurol. 2023 Nov 07;:]. J Neuropathol Exp Neurol.
2023;82(11):921-933. doi:10.1093/jnen/nlad0723. Cao C, Li X, Liu T, Zhang L, Shen K, Zhu H. Human organic cation transporter 1 protein levels of granulocytes can optimize imatinib therapy in patients with chronic myeloid leukemia. Acta Haematol. 2015;133(2):199-204. doi:10.1159/0003654374. Cao C, Liu T, Zhu H, Wang L, Kai S, Xiang B. Bortezomib-contained chemotherapy and thalidomide combined with CHOP (Cyclophosphamide, Doxorubicin, Vincristine, and Prednisone) play promising roles in plasmablastic lymphoma: a case report and literature review. Clin Lymphoma Myeloma Leuk. 2014;14(5):e145-e150. doi:10.1016/j.clml.2014.03.002
5. Cao C, Liu S, Lou SF, Liu T. The +252A/G polymorphism in the Lymphotoxin-α gene and the risk of non-Hodgkin lymphoma: a meta-analysis. Eur Rev Med Pharmacol Sci. 2014;18(4):544-552.
6.Cao C, Liu T, Lou S, Liu W, Shen K, Xiang B. Unusual presentation of duodenal plasmablastic lymphoma in an immunocompetent patient: A case report and literature review. Oncol Lett. 2014;8(6):2539-2542. doi:10.3892/ol.2014.26047.Sun Y, Wei C, Cao C, et al. New Strategy of Acute Graft-vs-Host Disease: Investigation of a Reduced Dose of Antithymocyte Globulin in Haploidentical Hematopoietic Stem Cell Transplantation. Transplant Proc. 2019;51(3):890-895. doi:10.1016/
j.transproceed.2018.10.028

Fan Xu | Network Science

 Prof Dr.  Fan Xu | Network Science

Academician/Research Scholar

Congratulations, Prof Dr.  Fan Xu | Network Science , 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:

  • Bachelor’s Degree (B.S):
    • Major: Pharmacology
    • Institution: Chengdu Medical College
    • Duration: 2003-2007
  • Master’s Degree (M.D):
    • Major: Biochemistry and Molecular Biology
    • Institution: Chongqing Medical University
    • Duration: 2009-2012
  • Doctoral Degree (Ph.D):
    • Major: System Biology
    • Institution: Chongqing Medical University
    • Duration: 2012-2015
  • Visiting Scholar:
    • Institution: Peking University Medical School (Beijing, China)
    • Duration: 2019-2020
    • Certificate Number: 2020059

Teaching Certification:

  • Teaching Certification (China):
    • Certificate Number: 20195100171005018
    • Qualified as a senior faculty member at higher education institutions.

Honors and Certificates:

  • Certificates from Sichuan Province:
    1. Certificate of Overseas Study (川留​​F397 号)
    2. Certificate of High-level Overseas Talents (川留​​F311 号)
  • Other Honors:
    1. Various awards and recognitions for scientific research, teaching, and innovation from Chengdu Medical College.
    2. Outstanding contributions and awards from external organizations and employers.

Research Interests:

  1. Behavioral Genetics and Cognitive Sciences
  2. Systems Biology and Integration of Omics Data
  3. Advanced Analysis of Medical Imaging

Author Information:

  • ResearcherID: HLW-1600-2023

Published Papers (Selected): Note: List includes some papers from 2022 and 2023.

  1. Correlation analysis between EEG data and facial expressions and sleep behaviors (2023)
  2. Accuracy of Raman spectroscopy in the diagnosis of Alzheimer’s disease (2023)
  3. Serum uric acid to serum creatinine ratio predicts neurological deterioration in branch atheromatous disease (2023)
  4. Endothelial function and arterial stiffness indexes in subjects with carotid plaque (2023)
  5. Landmarks in pancreatic cancer studies (2022)
  6. Vigilant Attention, Cerebral Blood Flow, and Grey Matter Volume Change after Acute Sleep Deprivation (2022)
  7. Depression symptoms and quality of life in empty-nest elderly (2022)
  8. Carotid plaque components and other carotid artery features associated with the risk of stroke (2022)
  9. Facial muscle movements in patients with Parkinson’s disease undergoing phonation tests (2022)
  10. A systematic review and meta-analysis comparing the ability of diagnostic of the third heart sound and left ventricular ejection fraction in heart failure (2022)