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📝🔬

Eman Abdullah Aldakheel – Deep learning- Academic Achievement Award

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Eman Abdullah Aldakheel – Deep learning- Academic Achievement Award

🌐 Professional Profile

Educations📚📚📚

She earned her Doctor of Philosophy in Computer Science from the University of Illinois at Chicago in Fall 2019, with her dissertation titled “Deadlock Detector and Solver (DDS).” She completed her Master of Science in Computer Science at Bowling Green State University in Fall 2011, with her thesis titled “A Cloud Computing Framework for Computer Science Education.” Her academic journey began with a Bachelor of Science in Computer Science from Imam Abdulrahman bin Faisal University (formerly Dammam University) in Fall 2006, where she graduated with honors.

In her academic career, she began as an Instructor at New Horizons Institute in Khobar, KSA, during Summer 2007, where she trained students at various levels on ICDL and IC3 certificates and taught courses in Computer Mathematics, Secretary duties, office management, and office technology. She then taught basic computer skills and Microsoft Office applications at Dammam University (now Imam Abdulrahman bin Faisal University) in Fall 2007. Prior to this, she worked as a Teacher at Riyadh Al-Islam Schools in Spring 2007, where she taught basic computer skills to girls, ranging from elementary to high school students.

Since Fall 2012, she has been serving as a faculty member at Princess Nourah Bint Abdulrahman University in Riyadh, KSA

Work experience

As a Lecturer and Assistant Professor, she teaches a range of courses including Foundations of Programming (GN 044), Discrete Structures (CS100), Programming Language I (CS110), Programming Language II (CS111), Computer Organization (CS206), Natural Language Processing (CAI 350), Graduation Project I (CS487), and Graduation Project II (CS488). She is involved in designing and recording a programming basics course and a data structures course as electronic courses for the programming diploma program. She participates in faculty committees and collaborative initiatives to improve the curriculum and attends seminars to stay updated on the latest trends in technology and teaching methods. She also serves as a scientific contact at the University of Southern California in the field of video game design and is the Computer Sciences’ program leader.

In her non-academic experience, she served as Vice President, Director of Public Relations, and Director of the Cultural and Information Committee at King Abdulaziz and his Companions Foundation for the Gifted from Summers 2002 to 2007. During her tenure, she built a summer science program for talented students, encouraged their inventiveness, and gained significant managerial skills through her six years of work with the President of the program.

Certifications or Professional Registrations:

She holds several notable certifications and professional registrations, including membership in the Golden Key International Honor Society and the Phi Kappa Phi Honor Society. She also possesses the Huawei HCIA-AI Certificate. Her current professional memberships include the Computing Research Association, the Association for Computing Machinery (ACM), and the IEEE Computer Society.

 

Honors and Awards:

She has received several honors and awards, including participation in the CRA-Women Grad Cohort Workshop, and has been recognized with the ACM’s SRC Travel Award and the HPDC Travel Award. Her service activities encompass planning programs and activities for talented students, building and designing electronic courses, and supervising the student magazine for the College of Computer and Information. She is also involved in various committees, including judging and supervising hackathons.

In terms of granted projects, she is currently working on the Researchers Supporting Project at Princess Nourah bint Abdulrahman University (Project number: PNURSP2023R409) for the year 2023. She is also leading two projects funded by the Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia: “Detection and Identification of Plant Leaf Diseases using YOLOv4” (Project number RI-44-0618) from November 2022 to May 2024, and “Use of Modern Machine Learning Techniques to Combat Extremism and the Role of Women” (Project number WE-44-0279) from November 2022 to May 2024.

📝🔬Publications📝🔬

Jameer kotwal- Deep Learning – Best Researcher Award

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Jameer kotwal- Deep Learning – Best Researcher Award

Mr. Jameer Kotwal distinguished academic and researcher in the field Deep Learning.  He has been actively involved in various academic and technological endeavors. In 2020, he developed the “Time Table Lecture Announcer” system, which was displayed outside the classroom. The following year, in 2021, he worked on implementing a “Facial Attendance System” using a Siamese Deep Learning model, with deployment outside the project lab.

Moreover, his engagement extends to educational institutions, where he has contributed to curriculum development and faculty training programs. At Sandip Institute of Technology & Research, he participated in the Faculty Orientation Program (FOP) conducted by Savitribai Phule Pune University (SPPU) for the revised syllabus of the Bachelor of Engineering (BE) program in 2019, specifically focusing on the Deep Learning Lab. Similarly, at Shree Ramchandra College of Engineering, he was involved in the Faculty Development Program (FDP) for the revised BE syllabus in Deep Learning in 2023.

Furthermore, he has facilitated workshops and sessions on advanced topics. Notably, at Nutan Maharashtra Institute of Engineering & Technology (NMIET), he conducted sessions on NVIDIA and CUDA technologies in 2020. Additionally, he has contributed to teaching Advanced Data Structures at Keystone School of Engineering in 2019 and Laboratory Practice-IV at Dr. D. Y. Patil Institute of Engineering, Management & Research in 2018. His involvement dates back to 2012 when he taught Compiler Design at Dr. D. Y. Patil Talegaon.

🌐 Professional Profile

Educations📚📚📚

He pursued his Ph.D., with the thesis submitted to Amity University Raipur. Prior to that, he completed his M.E. in Computer Engineering from G.H. Raisoni College of Engineering & Management, Pune, achieving a CGPA of 6.93, securing a First Class. His undergraduate degree, a B.E. in Computer Engineering, was earned from SVERI College of Engineering, Pandharpur, under Solapur University, where he attained a First Class with a percentage of 64.14. Additionally, he completed a Diploma in Computer Engineering from Government Polytechnic Solapur under the Maharashtra State Board of Technical Education (MSBTE Mumbai), achieving a First Class with a percentage of 66.88.

He has achieved significant recognition and accolades throughout his career. Notably, he secured the second position at the Amity Incubation Centre for his presentation on “Plant Disease Identification using Deep Learning.” Furthermore, he has served as a mentor for various teams in the Smart India Hackathon, including Team 8 bit in 2022, where they focused on “Handwritten Text in Indian Languages” and won the first prize of Rs.1 lakh. Similarly, in 2020, he mentored Team SV_Gravity, who worked on “Virtual Moon Reality,” leading them to secure the first prize of Rs.1 lakh.

Additionally, he participated in the Bhabha Atomic Research Centre Exhibition and seminar titled “Atomic Energy for Peace, Power, and Prosperity” in 2018 at PCCOER, Ravet, Pune. His contributions have been recognized with the Best Teacher Award at NMIET and PCCOER, reflecting his dedication and excellence in education and mentorship.

📝🔬Publications📝🔬
  • Jameer kotwal Tanvi Bhosale,, Biradar, A., Bhat, K., Barhate, S., (2023). Applied Deep Learning for Safety in Construction Industry.Data Intelligence and Cognitive Informatics. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-6004-8_15.
  • Jameer Kotwal Harshal Thakare Dhanashri Wani, Dhiraj Sangale Abhijeet Walunj,” Deep Reinforcement Learning And Object Detection For Adaptive Traffic Signal”, Journal of Seybold Report , Volume 15 Issue 8 Pages 2020.
  • Jameer Kotwal Varun Pilakavil, Hitesh Chaudhari, Pratik Khedekar, Aniket Deotale,” Real Time Product Price Monitoring & Analysis Application for E-Commerce Websites”, International Research Journal of Engineering and Technology, Volume 1 Issue 1 Pages 1237
  • Jameer Kotwal Harshal Thakare Dhanashri Wani, Dhiraj Sangale Abhijeet Walunj,” Deep Reinforcement Learning and Image Processing for Adaptive Traffic Signal Control”,IJSRET, Volume 6, Issue 1, Jan-Feb-2020.
  • Jameer Kotwal Shivakumar Iyer, Manisha Chate, Shubhangi Dhawan, Shivani Thorve, “An Web Based Emergency Alert System”,JETIR(UGC approved), Volume 6, Issue.1,Pages.388.
  • Jameer Kotwal, Dr.Sachin Babar,” Solving Monte-Carlo Method by Using GPU and CPU”,IJCSIT,Volume 8 Issue 3 Pages 324-326.
  • Jameer G Kotwal, Tanuja S Dhope ,”Solving Task Allocation to the Worker Using Genetic Algorithm,”International Journal of Computer Science and Information Technologies,Vol.6,Issue.4,Pages.3736-3741.
  • Jameer Kotwal, Prajkta Varhade, Komal Koli ,”Text clustering for computer investigation with search optimization “,International Journal of Engineering & Computer Science,4,Issue.11,Pages.14921.
  • Jameer Kotwal,Aishwarya Jadhav,Kasture,Gayatri,Amruta,” Pulse Rate Monitoring Device Based On Arduino and Android Platform”, International Journal for Research in Applied Science & Engineering Technology (IJRASET) (UGC approved), ISSN: 2321-9653; Volume 6 Issue III, March 2018.
  • Jameer Kotwal,Harnoor sodhi,Tejaswini,Khade,” Secured Access Control Using Secret key and OTP for Cloud Computing Services”, International Journal for Research in Applied Science & Engineering Technology (IJRASET), ISSN: 2321-9653; Volume 6 Issue III, March 2018.
  • Jameer Kotwal,Amol Roundal,Neeraj, “Speed Alert System for GPS-enabled Smartphone’s with Android operating system” “,International Journal of Computer Science and Information Technologies,Vol.6,Issue.1,Pages.745.
  • Jameer Kotwal,Tanuja Dhope,”Unbalanced Assignment Problem by Using Modified Approach “,International Journal of Advanced Research in Computer Science and Software Engineering ,Vol.5,Issue.7,Pages.451.
  • Jameer Kotwal, Snehal Pawar, Shraddha Pansare, Madhura Khopade, Pratibha Mahalunkar (2015),”Android App For Meter Reading” in: International Journal of Engineering & Computer Science ,Vol.4,Issue.1,Pages 9853-9856.

Esha Aftab – Neural Models – Best Researcher Award

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Esha Aftab – Neural Models – Best Researcher Award

Ms. Esha Aftab  distinguished academic and researcher in the field Neural Models.  She possesses a strong foundation in various undergraduate courses such as Introduction to Computing, Object-Oriented Programming (C++), Data Structures and Algorithms, Database Systems, Digital Logic Design, and Design and Analysis of Algorithms. Her technical proficiencies encompass a wide range of technologies and languages including C#, ASP, .NET Framework, PRISM Framework, MATLAB, MS SQL Server 2005, Oracle, Java, JavaScript, Java ME, and OpenGL.

🌐 Professional Profiles

Educations📚📚📚

She is currently pursuing her PhD at Punjab University College of Information Technology, with a focus on advancing her knowledge and expertise in her field. Prior to this, she completed her M.Sc in Computer Science at Lahore University of Management Sciences (LUMS) in 2012, achieving a commendable CGPA of 3.66 out of 4.0. Her academic journey commenced with a Bachelor’s degree in Computer Science from the National University of Computer & Emerging Sciences (NU-FAST), Lahore, where she graduated in 2009 with an impressive CGPA of 3.74 out of 4.0. Her educational background reflects a consistent dedication to academic excellence and a strong commitment to her field of study.

Work Experience

She has amassed a wealth of experience across academia and industry. Currently serving as an Assistant Professor at Punjab University College of Information Technology (PUCIT) since 2019, her role involves conducting programming and technical courses, with a particular focus on subjects such as Data Structures, Algorithms, and Machine Learning. Prior to this, she held the position of Lecturer at NUCES-FAST from 2012 to 2019, where she contributed significantly to the academic environment. Additionally, she served as Visiting Faculty in 2012, delivering the ‘Applied Programming’ course for MSc students. Her industry experience includes a stint as a Software Engineer at Techlogix Pvt. Limited from 2009 to 2010, where she was involved in designing and developing automated business processes for clients like Ufone, Motorola, and Nestle. Her projects ranged from enterprise application integration for Ufone using IBM WebSphere Integration Developer to implementing automated business processes for Motorola using Savvion BPM Software and devising algorithms for Nestle’s Milk Balancing System. She adeptly utilized various development tools such as Microsoft Visual Studio 2008, Silverlight, Telerik Toolkit, and .Net Framework to deliver innovative solutions across her diverse roles.

Technical Proficiencies
 She is adept at working in different development environments such as Linux (Ubuntu), MS Visual Studio (2008/2010), Netbeans IDE, Eclipse, Savvion BPM Software, and IBM Websphere Toolkit. Noteworthy among her major projects is her contribution to a Computer Vision Research Project focused on developing a Shape and color-based Jigsaw Puzzle Solver, achieving successful results in shape-based jigsaw piece identification and implementing piece placement algorithms using image stitching techniques. Additionally, she has contributed to a research-based project on Image Annotation, employing statistical methods to label images according to their content. Her diverse skill set and hands-on experience in both academic and research settings underscore her proficiency and versatility in the field of computer science

Academic Achievements

 Silver Medalist: 2nd position in BCS (FAST)
 Dean’s List Honor Certificate (FAST)

 

📝🔬Publications📝🔬

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

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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📚✨📚✨

 

 

Jorge Laureano Moya Rodríguez – Neural Networks – Best Researcher Award

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Jorge Laureano Moya Rodríguez – Neural Networks

 Prof Dr.  Jorge Laureano Moya Rodríguez distinguished academic and researcher in the field Neural Network.  Jorge Laureano Moya Rodríguez is a Professor Emeritus at the Central University “Marta Abreu” de las Villas. Cuba. He received his Ph.D. in Mechanical Engineering at this university in 1994. He published over a three hundred papers in professional journals and he has authored several books in mechanical and electrical engineering. He has several international and national awards, including some from the Academy of Sciences of Cuba. He has lectured in different Universities of Spain, México, Nicaragua and Brazil. He is currently visiting professor at the Federal University of Bahia in Brazil. Dr. Moya’s research interests are Multiobjective Optimization, Logistics, Computer Aided Design, and Computer Aided Engineering.

Ele é também membro da ERASMUS MUNDUS ASSOCIATION (EMA) e da Associação Mexicana de Modelagem Numérica e Engenharia (AMMNI). Reconhecido como bolsista de produtividade em Pesquisa pelo CNPq (nível 2) e consultor ad hoc do CNPq, ele contribui como árbitro para diversas revistas científicas e instituições acadêmicas em países como Venezuela, Colômbia, Peru e Cuba. Com uma ampla lista de mais de 50 projetos de pesquisa concluídos e implementados em Cuba, ele é considerado Professor de Mérito pela Universidade Central Marta Abreu de Las Villas. Sua atuação como professor abrange cursos de pós-graduação e disciplinas de mestrado em várias universidades, incluindo a Universidade Federal do Espírito Santo (Brasil), Universidade Veracruzana (México), Universidade Técnica do Estado de Aragua (Venezuela) e Universidade Nacional de Engenharia (Nicarágua). Ele também coordenou o Mestrado em Engenharia Mecatrônica em várias universidades na Venezuela e trabalhou como professor convidado em diversas instituições no México, Peru e Espanha. Anteriormente, ele foi pesquisador do ITEGAM, professor visitante na Universidade Federal do Espírito Santo e na Universidade Federal da Bahia.

 

🌐 Professional Profiles

Educations: 📚🎓

Jorge Laureano Moya Rodríguez, known in bibliographic citations as J. L. M. Rodríguez, J. L. Moya, Jorge Moya, Jorge Laureano Moya Rodríguez, J. Moya, Jorge Rodríguez, Jorge L. Moya Rodríguez, or variations thereof, is affiliated with the University Federal da Bahia, where he works within the Program of Industrial Engineering Postgraduate Studies.

He completed a postdoctoral position in 2011 at the Universidad de Oviedo, UNIOVI, Spain, funded by the Agencia Española de Colaboración Internacional, AECI, Spain. The research was in the field of Engineering.

In 2008, he undertook a postdoctoral fellowship at the Universidad de Oviedo, UNIOVI, Spain, funded by ERASMUS MUNDUS, EM, Germany. The research focus was in Engineering.

In 2005, he conducted postdoctoral research at the Universidad Católica de Leuven, KLU, Belgium, supported by VLIR, VLIR, Belgium. The research was within the field of Engineering.

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