Kuldeep Sarma – Algebraic Graph Theory Award – Best Researcher Award

Posted on by ScienceFatherLeave a Comment on Kuldeep Sarma – Algebraic Graph Theory Award – Best Researcher Award

Kuldeep Sarma – Algebraic Graph Theory Award – Best Researcher Award

Dr. Kuldeep Sarma  distinguished academic and researcher in the field Algebraic graph theory. Throughout his academic journey, he has achieved remarkable milestones and garnered prestigious accolades. Notably, he was selected for the NBHM postdoctoral fellowship by the Department of Atomic Energy, India, in 2023, a testament to his scholarly contributions and expertise. His academic excellence was evident early on, as he qualified in the NBHM written examination for scholarships in both M.Sc. and Ph.D. in 2014 and 2015 respectively. Additionally, his proficiency in research was acknowledged when he qualified in the CSIR-UGC NET (JRF & LS) with an impressive All India Rank of 077, earning him the CSIR Junior Research Fellowship in 2016. Furthermore, he demonstrated his prowess in mathematics by qualifying in the GATE examination with an All India Rank of 174 in 2015. His dedication to academic pursuits was also recognized through his achievement of second position in the SET (State Eligibility Test) in 2014. Moreover, his passion for basic sciences was supported by his receipt of the INSPIRE Scholarship by the Department of Science and Technology (DST) in 2010, paving the way for his future academic endeavors

🌐 Professional Profiles

Educations📚📚📚

He pursued his academic journey with a strong focus on mathematics, beginning with his Secondary School Certificate from Govt. Gurdon H.S. School, Nalbari, Assam, in 2007, where he attained an impressive percentage of 82.83. Building upon this foundation, he completed his Higher Secondary Certificate in the Science Stream at Cotton College (University), Guwahati, India, from 2007 to 2009, achieving a commendable percentage of 73.6. His passion for mathematics led him to pursue an Integrated MSc in Mathematics at Tezpur University, Tezpur, India, from 2010 to 2015, where he graduated with First Class honors and a CGPA of 7.68 out of 10. Continuing his academic journey, he pursued a Doctor of Philosophy (PhD) degree at Tezpur University, Assam, India, from 2016 to 2021. He successfully defended his thesis titled “A Study On Algebraic Connectivity and Inverses of Graphs” on 10th March 2022, demonstrating his expertise and dedication to the field of mathematics.

AREAS OF INTEREST

Linear algebra, Algebraic graph theory, Combinatorial matrix theory

WORKSHOPS/CONFERENCES/SCHOOLS ATTENDED

• “International Conference on Emerging Trends in Pure and Applied Mathematics”,
organized by the Department of Applied Sciences, School of Engineering in association with the
Department of Mathematical Sciences, School of Sciences, Tezpur University, during 12-13 March
2022.
• “Two-day International Webinar on MATHEMATICS: NEEDS & its SCOPE in SCIENCES”, organized by the Department of Mathematics & Internal Quality Assurance Cell
(IQAC), Patharkandi College, Patharkandi, during 18-19 September 2021.
• “National Workshop on Analysis and Linear Algebra (NWALA2020)”, organized by the
Department of Mathematics, DHSK College, Dibrugarh during July 23-24, 2020.
• “Capacity Building Workshop for Quality Research Communication” on 27-th September 2019, organized by Internal Quality Assurance Cell, Tezpur University, Assam.
• Science Academies Refresher course on “Analysis” organized by the Department of Mathematical Sciences, Tezpur University during February 18 to March 02, 2019.
• National Seminar on Advances in Mathematical Sciences held at Gauhati University on
22 December 2018.
• National Conference on Linear Algebra and its Applications, organized by Sikkim Manipal
Institute of Technology, on 9-10 January 2017.
• School on “Analysis and Topology” organized jointly by the Indian Statistical Institute,
North-East Center and Tezpur University during February 22-March 4, 2016.

 

Teaching Experience

He has actively contributed to the academic community through both teaching and presenting research papers at conferences and seminars. From November 2022 to March 2023, he taught Mathematics I (MS104), followed by Mathematics II (MS105) from March to June 2023, and Mathematics III (MS205) from August to December 2023. His commitment to education continued as he taught Mathematics I (MS104) again from January to June 2024. In addition to his teaching responsibilities, he showcased his research findings through paper presentations at prestigious conferences. Notably, he presented a paper on “Minimizing algebraic connectivity over graphs made with some given blocks” at the International Conference on Analysis, Algebra, Combinatorics, and their applications, held at Jadavpur University from 20-22 January 2020. Furthermore, he presented another paper titled “Inverses of non-bipartite unicyclic graphs with a unique perfect matching” at the International Conference on Linear Algebra and its Applications (ICLAA 2021), hosted at MAHE, Manipal, India, from 15-17 December 2021. Through his teaching and research endeavors, he has made significant contributions to the fields of mathematics and academia as a whole.

📝🔬Publications📝🔬

 

Suliman Khan – Spectral Graph Theory- Best Researcher Award

Posted on by ScienceFatherLeave a Comment on Suliman Khan – Spectral Graph Theory- Best Researcher Award

Suliman Khan – Spectral Graph Theory- Best Researcher Award

Mr. Suliman Khan distinguished academic and researcher in the field  Spectral Graph Theory.  He is currently pursuing his PhD at Tilburg University in the Netherlands under the supervision of Prof. Edwin Van Dam. His research topic focuses on the generalization of cometric (Q-polynomial) schemes. This builds upon his prior academic achievements, including a Master of Science in Applied Mathematics from Ghulam Ishaq Khan Institute of Engineering Sciences and Technology (GIKI) in Pakistan. During his master’s studies, he achieved a remarkable final GPA of 3.71/4.00, earning him the distinction of being a Gold Medallist. Additionally, he was awarded a fully funded scholarship in the form of a Graduate Assistantship.

His master’s dissertation titled “Computational and efficiency analyses of certain graph-theoretic parameters” demonstrates his aptitude in mathematical research, under the guidance of Dr. Sakander Hayat. Prior to his master’s degree, he completed a Bachelor of Science in Mathematics at the University of Malakand (UOM) in Pakistan, achieving a commendable final GPA of 3.72/4.00. These academic achievements underscore his dedication and proficiency in the field of mathematics.

🌐 Professional Profiles

 

Educations📚📚📚

Suliman Khan obtained his M.S. degree in Applied Mathematics from GIK Institute of Engineering Sciences and Technology, Topi, Pakistan, winning the University Gold Medal of all sciences. He secured the Italian government scholarship for his PhD studies and has been admitted to the Department of Mathematics and Physics at the University of Campania Luigi Vanitelli, Italy, in February 2022. Dr. Suliman’s main areas of research interest are graph theory, spectral graph theory, chemical graph theory, signed graphs, and gain graphs. He has published more than 10 research articles in these areas in reputable international journals.

➢ Research interests:

❖ Graph Theory
❖ Chemical Graph Theory
❖ Mathematical Chemistry
❖ Combinatorics
❖ Linear Algebra
❖ Spectral Graph Theory
❖ Signed Graphs and Gain-Graphs
❖ Algebraic Graph Theory
➢ Research advisor: Prof. Vito Napolitano
➢ Co-advisor: Prof. Francesco Belardo (University of Naples Federico-II)

CONFERENCES / SYMPOSIUMS

He actively participates in academic conferences, symposiums, and seminars to enrich his knowledge and engage with the mathematical community. Notably, he presented at the International Linear Algebra Society (ILAS) Conference in June 2023 in Madrid, Spain, where he delivered a talk titled “No cycle-spliced bipartite signed graph with nullity ⴄ(G)=c(G).” Prior to this, he also presented at the Combinatorics 2022 Conference in Mantua, Italy, in May-June 2022, where he spoke on “Line graph of Pan and Lollipop graphs.”

Furthermore, he has attended seminars such as the Summer School on “Contemporary Algebraic and Geometric Techniques in Coding Theory and Cryptography” organized by the Dipartimento di Matematica e Fisica, University of Campania, Italy, held virtually on Microsoft Teams in July 18–22, 2022, and the Symposium: 2nd All Pakistan Research Symposium at GIK Institute of Engineering Sciences and Technology in Topi, Pakistan, in April 19–21, 2019. These experiences demonstrate his commitment to staying abreast of the latest developments in mathematics and his active involvement in scholarly discourse

🏆🏆Awards / Scholarship🏆🏆

He has been recognized with several prestigious awards and scholarships for his academic excellence and contributions to the field of sciences. Notably, he was awarded the GIK Gold Medal for his outstanding achievements at the GIK Institute of Engineering Sciences and Technology in July 2021. His dedication and hard work also earned him the Satori Da Pakhtunkhwa Top-20 Position Holder’s Award from the Board of Intermediate & Secondary Education in Malakand KPK, Pakistan, in September 2014. Furthermore, he secured a Graduate Assistantship and a Fully Funded Scholarship Award at the GIK Institute of Engineering Sciences and Technology, demonstrating his commitment to advancing his education and research pursuits.

TEACHING EXPERIENCE

From February 2021 to July 2021, he held the position of Visiting Lecturer at the University of Swabi (UOS) in Swabi, Khyber Pakhtunkhwa, Pakistan. During this tenure, he taught courses on Graph Theory, Business Mathematics, and Pharmaceutical Mathematics, demonstrating his expertise across diverse mathematical domains.

Simultaneously, he served as a Graduate Assistant at the GIK Institute of Engineering Sciences and Technology (GIKI) in Topi, Pakistan. In this role, he contributed to the academic environment by assisting in courses such as Calculus-1 (MT-101), Calculus-2 (MT-102), and Differential Equations and Linear Algebra, showcasing his proficiency in foundational mathematical concepts and pedagogy.

 

📝🔬Publications📝🔬

Fatma Sule Bilgic- Graph abstract – Graph Analytics Research Excellence Award

Posted on by ScienceFatherLeave a Comment on Fatma Sule Bilgic- Graph abstract – Graph Analytics Research Excellence Award

Dr.  Fatma Sule Bilgic  distinguished academic and researcher in the field Graph Abstract. She has taken on various administrative roles, serving as the Quality and Accreditation Department Commission Representative and as a member of the Zero Waste Commission. Proficient in English with good reading comprehension, moderate speaking, and writing skills, she scored 60 in the KPDS/ÜDS exam. In terms of her academic achievements, she holds a Master’s thesis on the examination of the effect of the mother’s nutritional status on the content of breast milk’s macronutrients, supervised by Assoc. Prof. Dr. Gülçin Bozkurt and Prof. Dr. Asuman Çoban. Her doctoral thesis, supervised by Prof. Dr. Gülçin Bozkurt, focuses on the impact of web-based infant care education based on Meleis’ Transition Theory on maternal self-confidence and newborn health. With a Google Scholar citation count of 63 and an h-index of 3, and a Web of Science citation count of 25 and an h-index of 2, her research has made a notable impact. She has also contributed to national journals with publications such as an article evaluating the emotional and mental impact of midwifery students’ experiences in the delivery room, and another discussing the dimension of male contraception in reproductive health.

 

🌐 Professional Profiles

Educations📚📚📚

The individual completed their education journey, culminating in a Doctorate from Istanbul University-Cerrahpaşa Graduate School of Education, Department of Midwifery, in 2023, following a Master’s degree in Midwifery from the same institution in 2020, and a Bachelor’s degree in Midwifery from Haliç University in 2014. Prior to their academic pursuits, they attended Bakırköy 70th Year Health Vocational High School for their secondary education, graduating in 2006. Their professional experience includes roles as a Lecturer at Haliç University Faculty of Health Sciences, Department of Midwifery, starting in 2020, and as a Research Assistant at Haliç University School of Health Sciences, Department of Midwifery, from 2014 to 2020. Before their academic career, they worked as a Nurse-Midwife at Haseki Training and Research Hospital Neonatal Intensive Care Unit from 2011 to 2014, and as a Nurse at Dağkapı Children’s Diseases Hospital Neonatal Intensive Care Unit from 2010 to 2011.

 

Research 

She, along with her colleagues, has been actively involved in conducting various research studies on topics related to reproductive health and sexuality. Some of her recent publications include studies on the impact of COVID-19 on family planning and sexuality, attitudes and beliefs regarding sexuality during pregnancy, breastfeeding success after cesarean delivery, the effect of yoga on sexual function and body image in pregnant women, and nonpharmacological interventions for infantile colic. Additionally, she has contributed to understanding gender perception and dating violence attitudes among women students of health sciences. Her research also extends to investigating the severity and impact of symptoms in women with urinary incontinence. Moreover, she has co-authored a systematic review and meta-analysis on the effect of telehealth on incontinence severity in women. Furthermore, she has contributed a chapter on postpartum contraception in the international book “Postpartum Period,” edited by Yılmaz T. She continues to make significant contributions to the field of reproductive health through her research endeavors.

 Publication📚✨📚✨

 

 

Rong Yin – Graph Neural network – Best Researcher Award

Posted on by ScienceFatherLeave a Comment on Rong Yin – Graph Neural network – Best Researcher Award

Rong Yin – Graph Neural network

Dr. Rong yin  distinguished academic and researcher in the field Graph Neural Network. She is a highly accomplished researcher with a focus on cutting-edge areas in artificial intelligence and machine learning. Over the past five years, she has made significant contributions, publishing over ten top conference and journal papers in esteemed venues such as NeurIPS, ICML, AAAI, IJCAI, IEEE TKDE, IEEE TNNL, PR, and IEEE TC. Recognized for her expertise, she has been invited to serve as a program committee member and reviewer for prestigious conferences and journals, including ICML, NeurIPS, ICLR, AAAI, and JMLR. One of her notable contributions includes proposing an efficient unsupervised learning algorithm based on the unified randomized sketches framework, paving the way for the application of machine learning in international important fields with massive data scenarios.

Additionally, she has designed a series of approximation algorithms for large-scale tasks such as regression, classification, ranking, and distributed learning. Her theoretical analyses have yielded optimal convergence rates for large-scale unsupervised learning, regression, and distributed learning, making significant strides in machine learning theory. As the principal or core backbone of more than 20 national or provincial key projects, including the Youth/General Fund of the National Natural Science Foundation of China and the National Key R&D Program, she has demonstrated leadership in advancing research in the field.

 

Professional Profiles:

Education

She earned her Ph.D. in Computer Science from the Institute of Information Engineering at the Chinese Academy of Sciences in July 2020, under the guidance of Prof. Dan Meng. Her research during this period has significantly contributed to the field, as evidenced by her subsequent achievements. Prior to her doctoral studies, she completed her M.S. in Computer Science at Harbin Institute of Technology in China in July 2016, with Prof. Xiaohong Su as her advisor. Her academic journey commenced with a B.S. in Thermal Energy and Power Engineering from Shenyang Aerospace University, China, in July 2014, under the mentorship of Prof. Rangshu Xu. Throughout her educational trajectory, she has demonstrated a commitment to academic excellence and has seamlessly transitioned from her undergraduate studies to achieving a Ph.D. in Computer Science, showcasing a continuous pursuit of knowledge and expertise in her chosen field.

Experience

She has been an integral part of the Institute of Information Engineering at the Chinese Academy of Sciences in China, serving as an Associate Researcher since December 2023. Her journey with the institute commenced in August 2020 when she was designated as an Associate Researcher to be Appointed, a position she transitioned into officially in December 2023 and continues to hold to the present. In her capacity as an Associate Researcher, she plays a crucial role in the ongoing research activities of the institute, contributing her expertise and insights to further the objectives of the organization. Her commitment to the field and the institute is evident in her sustained role, where she actively contributes to the research endeavors of the Institute of Information Engineering.

Academic achievements

  • Rong Yin, Yong Liu, Weiping Wang, Dan Meng. Scalable Kernel k-Means with Randomized Sketching: From Theory to Algorithm. In IEEE Transactions on Knowledge and Data Engineering, 2023, 35(9): 9210 – 9224. (TKDE 2023) (CCF-A, SCI-1, IF: 9.235). [PDF]
  • Rong Yin, Yong Liu, Weiping Wang, Dan Meng. Randomized Sketches for Clustering: Fast and Optimal Kernel k-Means. In Proceedings of Advances in Neural Information Processing Systems, 2022, 35: 6424-6436. (NeurIPS 2022) (CCF-A). [PDF]
  • Rong Yin, Yong Liu, Weiping Wang, Dan Meng. Distributed Nystrom Kernel Learning with Communications. In Proceedings of the 28th International Conference on Machine Learning, PMLR, 2021: 12019-12028. (ICML 2021) (CCF-A). [PDF]
  • Rong Yin, Yong Liu, Dan Meng. Distributed Randomized Sketching Kernel Learning. In Proceedings of the 36th AAAI Conference on Artificial Intelligence, 2022, 36(8): 8883-8891. (AAAI 2022) (CCF-A). [PDF]
  • Ruyue Liu, Rong Yin*, Yong Liu, Weiping Wang. ASWT-SGNN: Adaptive Spectral Wavelet Transform-based Self-Supervised Graph Neural Network. In Proceedings of the 38th AAAI Conference on Artificial Intelligence, 2024. (AAAI 2024) (CCF-A, Corresponding author).
  • Rong Yin, Yong Liu, Lijing Lu, Weiping Wang, Dan Meng. Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm. In Proceedings of the 34th AAAI Conference on Artificial Intelligence, 2020, 34(04): 6696-6703. (AAAI 2020) (CCF-A). [PDF]
  • Xueyan Wang, Jianlei Yang, Yinglin Zhao, Xiaotao Jia, Rong Yin, Xuhang Chen, Gang Qu, Weisheng Zhao. Triangle counting accelerations: From algorithm to in-memory computing architecture. IEEE Transactions on Computers, 2021, 71(10): 2462-2472. (TC 2021) (CCF-A, SCI-1, IF: 3.7). [PDF]
  • Rong Yin, Yong Liu, Weiping Wang, Dan Meng. Sketch Kernel Ridge Regression using Circulant Matrix: Algorithm and Theory. In IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(9): 3512-3524. (TNNLS 2020) (SCI-1, IF: 11.683). [PDF]
  • Ruyue Liu, Rong Yin*, Yong Liu, Weiping Wang. Unbiased and Augmentation-Free Self-Supervised Graph Representation Learning. In Pattern Recognition, 2024. (PR 2024) (SCI-1, IF: 8, Corresponding author). [PDF]
  • Rong Yin, Yong Liu, Weiping Wang, Dan Meng. Extremely sparse Johnson-Lindenstrauss transform: From theory to algorithm. In Proceedings of IEEE International Conference on Data Mining, 2020: 1376-1381. (ICDM 2020) (CCF-B). [PDF]
  • Lijing Lu, Rong Yin, Yong Liu, Weiping Wang. Hashing Based Prediction for Large-Scale Kernel Machine. In Proceedings of the International Conference on Computational Science, 2020: 496-509. (ICCS 2020). [PDF]
  • Jian Li, Yong Liu, Rong Yin, Weiping Wang. Multi-Class Learning using Unlabeled Samples: Theory and Algorithm. In Proceedings of the 28th International Joint Conference on Artificial Intelligence, 2019: 2880-2886. (IJCAI 2019) (CCF-A). [PDF]
  • Jian Li, Yong Liu, Rong Yin, Weiping Wang. Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis. In Proceedings of the 28th International Joint Conference on Artificial Intelligence, 2019: 2887-2893. (IJCAI 2019) (CCF-A). [PDF]

Publication

 

Hongxia Song – Graph Analytics- Best Researcher Award

Posted on by ScienceFatherLeave a Comment on Hongxia Song – Graph Analytics- Best Researcher Award

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

Posted on by ScienceFatherLeave a Comment on Cheryl E Praeger – Graph Network symmetry – Lifetime Achievement Award

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

Posted on by ScienceFatherLeave a Comment on 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
    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

Xin Li – Random Graph Models

Posted on by ScienceFatherLeave a Comment on 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

 

  Dr. Saeid Shabanlou | Graph Data Structures

Posted on by ScienceFatherLeave a Comment on   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