Mehmet Fatih YUCE – Networks Science Award – Best Researcher Award

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Mehmet Fatih YUCE – Networks Science Award – Best Researcher Award

Mr. Mehmet Faith YUCE distinguished academic and researcher in the field Network science, V2X Misbehavior Detection. During his tenure as a Consultant (Senior Software Engineer) at PIWorks, Inc., he provided valuable consultation for ongoing projects, assisted in the development of new projects, and offered technical guidance to the management team. Notably, he contributed to the development of RachRootSequencer, a utility designed to provide “RACH Root Sequences” to LTE (4G) networks, incorporating elements of Genetic Algorithms to enhance its functionality. Through his diverse experiences and contributions, he has established himself as a skilled and versatile software engineer adept at tackling complex challenges across various projects and domains.

🌐 Professional Profiles

Educations📚📚📚

He pursued his academic journey with great dedication and passion. Starting with a Bachelor of Science in Software Engineering from Dokuz Eylul University, he laid a strong foundation in the field. Building upon this, he further honed his skills and knowledge through a Master of Science in Computer Software Engineering at Istanbul Aydın University. His commitment to academic excellence led him to pursue a Doctor of Philosophy (PhD) at Istanbul Üniversitesi’s Institute of Science and Technology. Throughout his education, he demonstrated a keen interest in software engineering and computer science, preparing himself for a promising career in academia or industry.

Work experience

He has accumulated extensive experience and expertise in software engineering over the span of more than seventeen years. Currently serving as the SW Team Lead at ULAK HABERLEŞME A.Ş. since May 2022, he specializes in SDN(NG), rust, wireguard, and the Linux kernel. His commitment to open-source development is evident through his continuous contributions, showcased on GitHub and GitLab.

Prior to his current role, he held various positions, including Software Architect at NETAŞ, where he worked extensively on business intelligence, Java, Python, C/C++, Docker, Vagrant, Kubernetes, Machine Learning, Deep Learning, 4G/5G, C#, and Software Defined Networks (SDN). Before that, as a Senior Software Development Engineer at LOGO Cyber Security and Network Technologies, he focused on Java, Python, FreeBSD, Hotspot, Firewall, UTM, TDD, Test Driven Development, TCP/IP, Internet Protocol Suite, and Maven.

His career also includes roles such as Sr. Software Engineer at Intertech Bilgi İşlem ve Pazarlama Tic. A.Ş., where he specialized in Spring, Spring Boot, Camel, React, microservices, optimization, Git, and Gradle. Additionally, he served as a Sr. Software Engineer at Organon Analytics, contributing to projects involving Predictive Analytics, Hadoop, SPARK, ETL, Scala, Java, .NET, REST, Apache Kafka, and Design Patterns.

Earlier in his career, he worked as a Sr. Software Engineer at LA Software Group, where he developed RouteArt, a new framework for vehicle routing problems using Heuristic Bubble Algorithm. He also contributed his skills to LOGO Business Solutions as a Sr. Software Engineer, focusing on FreeBSD, Network Security, Selenium, Vaadin, GWT, AspectJ, and Java. Through these diverse roles, he has demonstrated his proficiency across a wide range of technologies and domains, establishing himself as a seasoned professional in the field of software engineering.

He possesses a wealth of experience in software engineering, demonstrated through his involvement in various projects across different domains. One notable project involves subscriber-based reconciliation, where he developed a system to identify and reconcile discrepancies between nodes, generating approximately 40 reports. Additionally, he implemented a service-based reconciliation system, producing around 14 reports highlighting discrepancies in subscribers’ services provided by the operator.

Furthermore, he contributed to the development of NATter, a project aimed at sniffing the mobile network operator’s firewall for “NAT”ting logs and storing them for a specified period. This project was based on a Workflow ETL system, utilizing HBase as the backend for data storage and employing MapReduce, written in Java, for data manipulation. He also played a key role in developing the web interface using GWT to present the results of NATter.

In addition to these projects, he participated in the creation of the GGSN Redirection Site, a web platform allowing mobile operator customers to refill their balance. This site, built using Tomcat, JSP, and MySQL, was designed to accommodate more than 10 million hits while maintaining minimal resource usage. Another noteworthy contribution includes the development of QuickPay, a web portal facilitating payments via credit card, debit card, or vouchers. QuickPay was developed using Tomcat, GWT, and MySQL, showcasing his proficiency in Java-based technologies and web development frameworks.

 

 

📝🔬Publications📝🔬

Sajal Halder – Network Science – Best Researcher Award

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Sajal Halder – Network Science

Dr. Sajal Halder distinguished academic and researcher in the field Network science. He is currently working as a Research Fellow at Charles Sturt University, Australia. He has completed PhD in Computer Science at RMIT University and he has been appointed as an Assistant Professor (on study leave) at Jagannath University, Bangladesh since August 2017. His research interests are Personalized Itinerary Recommendation Systems, Machine Learning, Data Mining, Periodic Behavior Mining in Large-Scale Graph, Trajectory Behavior Analysis and Real Life Big Data Analysis.

Eduvation

He completed his academic journey with a stellar record, culminating in a Doctor of Philosophy (PhD) from the School of Computing Technologies at the Royal Melbourne Institute of Technology (RMIT) University in Melbourne, Victoria, Australia, with graduation in December 2022. His research focus during his doctoral studies was on the development of itinerary recommendation systems using deep learning methodologies. Under the guidance of A/Prof Jeffrey Chan and Prof. Xiuzhen Zhang, he contributed to the advancement of knowledge in this domain.

Prior to his doctoral pursuits, He earned a Master of Engineering in Computer Engineering from Kyung Hee University in South Korea, graduating with distinction in August 2013. His academic excellence is underscored by an impressive Cumulative Grade Point Average (CGPA) of 4.23/4.30 (95.25%). His master’s thesis, conducted under the supervision of Prof. Young-Koo Lee, delved into the exploration of supergraph-based periodic behaviors mining in dynamic social networks.

Commencing his academic journey,  he achieved a Bachelor of Science in Computer Science and Engineering from the University of Dhaka, Bangladesh, with graduation in November 2010. Displaying academic prowess, he secured a CGPA of 3.60/4.00, securing the 5th position out of 59 students. His final undergraduate project, conducted under the guidance of Supervisor Ashis Kumar Biswas, focused on the classification of multiple protein sequences through the analysis of irredundant patterns.

In summary, his educational background reflects a trajectory marked by academic excellence and a commitment to cutting-edge research in the fields of computer science and engineering.

Professional Profiles:

EXPERIENCE

• We developed a metadata-based malicious and benign package detection model for the NPM repository.
• We introduced two sets of features, easy to manipulate (ETM) and difficult to manipulate (DTM),
where manipulating DTM depends on long-term planning and monotonic properties. Then, we verify
our feature selection effectiveness based on four well known machine learning and one deep learning
techniques.
• We also analyse algorithms’ performance using metadata manipulation and recommend better metadata adversarial attack-resistant algorithms.
• Experiment analysis shows that our proposed model reduces 97.56% False Positive and 80.35 % False
Negative number.
• Achievement 1: Sajal Halder et al. ”Malicious Package Detection using Metadata Information”, In
submission (A* Conference).
• Achievement 2: Sajal Halder et al. ”Install Time Malicious Package Detection on NPM Repository”,
In process.
Skills: Feature Engineering, Data Scraping, Open Source Software, Machine Learning Model, Deep Learning,
Python, Report/Article Writing, Data Visualization and Teamw

PhD Researcher, RMIT University Melbourne, Australia.

i. Project Title: Capacity aware Fair POI Recommendation using Users Satisfaction.
Innovation: Design a novel fair POI recommendation model considering POI capacity and users preferences.
Language and Tools: Python, Actor-critic network, GCN, Tensorflow, Neural Network, Graph Allocation and Optimization
Duration: July 2021 to date.
ii. Project Title: Deep reinforcement learning of dynamic POI generation and optimization for itinerary
recommendation
Innovation: Propose and implement deep actor-critic network based itinerary recommendation model
named DRLIR.
Language and Tools: Python, AWS, Actor-critic network, GCN, Tensorflow, Neural Network
Duration: January 2021 to June 2021.
iii. Project Title: POI Recommendation with Queuing Time and User Interest Awareness
Innovation: Improve users interest based multi-tasking based transformer architecture models (TLR U
and TLR-M UI) for best POI recommendation.
Language and Tools: Python, PyCharm, Jupyter, Tensorflow, Keras, Matplotlib, Transformer, Lucid
Chart, Overleaf
Duration: March 2020 to December 2020.
iv. Project Title: Transformer-based Multi-tasking for Queuing Time Aware Next POI Recommendation
Innovation: Design and implement multi-tasking based transformer architecture models (TLR and
TLR-M) for better POI recommendation.
Language and Tools: Python, PyCharm, Jupyter, Tensorflow, Keras, Matplotlib, Transformer, Lucid
Chart, Overleaf
Duration: August 2019 to February 2020.
v. Project Title: Efficient Itinerary Recommendation via Personalized POI Selection and Pruning
Innovation: Develop efficient personalized itinerary recommendation model (EffiTourRec).
Language and Tools: R-studio, Lucid Chart, Overleaf, MatLab.
Duration: August 2018 to July 2019.

Research/Project Member
i Research Group: VLSI Research Group, Department o f Computer Science and Engineering, University of Dhaka, Bangladesh
Supervisor: Professor Dr. Hafiz Md. Hasan Babu
Duration: July 2016 to June 2018.
ii Project Name: Establishment of Basic Campus Network in Jagannath University
Source of Fund: HEQEP, UGC, Government of Bangladesh.
Duration: January 2017 to July 2018.
iii Project Name: Establishment of Basic Campus Network on Bangabandhu Sheikh Mujibur Rahman
Science & Technology University,
Source of Fund: HEQEP, UGC, Government of Bangladesh.
Duration: June 2015 to July 2016

Journal/ Conference Reviewers

• Engineering Applications of Artificial Intelligence (Q1 Ranked Journal, IF: 7.8)
• Information Process and Management (Q1 Ranked Journal, IF: 7.47)
• Applied Soft Computing (Q1 Ranked Journal, IF: 8.7)
• Scientific Reports (Q1 Ranked Journal, IF: 4.6)
• IEEE Transactions on Computational Social Systems (Q1 Ranked Journal, IF: 4.74)
• Transactions on Knowledge Discovery from Data (Q1 Ranked Journal, IF: 4.2)
• IEEE Access (Q1 Ranked Journal, IF 3.367)
• Expert System with Applications, (Q1 Ranked Journal, IF 6.954)
• World Wide Web (Q1 Ranked Journal, IF: 3.00)
• Knowledge and Information Systems (Q1 Ranked Journal, IF: 2.82)
• Neural Processing Letters (IF: 3.1)

SELECTED PUBLICATIONS

1. Sajal Halder, Kwan Hui Lim, Jeffrey Chan, and Xiuzhen Zhang.A Survey on Personalized Itinerary
Recommendation: From Optimisation to Deep Learning. In Applied Soft Computing Journal, 111200,
2023, Q1 Ranked Journal, (Impact Factor – 8.7). Publisher: Elsevier.

2. Sajal Halder, Kwan Hui Lim, Jeffrey Chan, and Xiuzhen Zhang. Capacity-aware fair POI recommendation combining transformer neural networks and resource allocation policy. In Applied Soft
Computing Journal, pages 110720, 2023, Q1 Ranked Journal, (Impact Factor – 8.7). Publisher: Elsevier.

3. Sajal Halder, Kwan Hui Lim, Jeffrey Chan, and Xiuzhen Zhang. POI Recommendation with Queuing
Time and User Interest Awareness. In Data Mining and Knowledge Discovery, 2022, Q1 Ranked
Journal, (Impact Factor – 5.406). Publisher: Springer.

4. Sajal Halder, Kwan Hui Lim, Jeffrey Chan, and Xiuzhen Zhang. Efficient Itinerary Recommendation
via Personalised POI Selection and Pruning. In Knowledge and Information Systems, Volume 64, Pages
963–993, 2022. Q1 Ranked Journal, (Impact Factor – 2.53), Publisher: Springer.

5. Sajal Halder, Kwan Hui Lim, Jeffrey Chan and Xiuzhen Zhang. Transformer-based Multi-task
Learning for Queuing Time Aware Next POI Recommendation. In the 25th Pacific-Asia Conference
on Knowledge Discovery and Data Mining (PAKDD-2021), A Ranked Conference.

6. Sajal Halder, Md. Samiullah and Young-Koo Lee. Supergraph based Periodic Patterns Mining in
Dynamic Social Networks. Expert Systems with Applications-An International Journal. volume 72,
pages 430-442, 2017, Q1 Ranked Journal, (Impact Factor – 6.954). Publisher: Elsevier.
7. MS Rahman, Sajal Halder, MA Uddin, UK Acharjee, An efficient hybrid system for anomaly detection in social networks. In Cybersecurity, Q1 ranked Journal, (Impact Factor – 6.27), 2021, Volume 4,
Pages 1-11, Publisher: Springer.

8. Iram Fatima, Sajal Halder, Muhammad Aamir Saleem, Rabia Batool, Muhammad Fahim, YoungKoo Lee, Sungyoung Lee. Smart CDSS: Integration of Social Media Interaction Engine (SMIE) in
Healthcare for Chronic Disease Patients. Multimedia Tools and Applications, pages 1-21, 2013, Q1
Ranked Journal, (Impact Factor – 2.757), Publisher: Springer.

9. Yongkoo Han, Kisung Park, Donghai Guan, Sajal Halder, and Young-Koo Lee. Topological Similarity
based Feature Selection for Graph Classification. In the Computer Journal, bxt123, 2013, Q2 Ranked
Journal, (Impact Factor – 0.755), Publisher: Oxford University Press.

Chun Cao | Network Science

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  Dr.  Chun Cao – Network Science

Academician/Research Scholar

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

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

Warmest congratulations once again on this well-deserved recognition!

 

Professional Profiles:

Education:

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

Awards:

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

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

publication;

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

Fan Xu | Network Science

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 Prof Dr.  Fan Xu | Network Science

Academician/Research Scholar

Congratulations, Prof Dr.  Fan Xu | Network Science , on winning the esteemed Best Researcher Award from Sfconference! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

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

Warmest congratulations once again on this well-deserved recognition!

 

Professional Profiles:

Education:

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

Teaching Certification:

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

Honors and Certificates:

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

Research Interests:

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

Author Information:

  • ResearcherID: HLW-1600-2023

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

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

Academic Excellence Award in Network Science and Graph Analytics

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Introduction of Academic Excellence Award in Network Science and Graph Analytics

Welcome to the Academic Excellence Award in Network Science and Graph Analytics, recognizing outstanding achievements and contributions in the dynamic fields of network science and graph analytics. This prestigious award celebrates individuals who have demonstrated unparalleled academic prowess, pushing the boundaries of knowledge and innovation in these interconnected domains.

Eligibility:
  • Open to researchers, scholars, and academics globally.
  • No age limits apply.
  • Qualifications: Minimum of a Master's degree in a relevant field.
  • Publications: Demonstrated scholarly contributions in peer-reviewed journals or conference proceedings.
Requirements:
  • Original research work in the field of Network Science or Graph Analytics.
  • Submission of a detailed biography and abstract of the work.
  • Supporting files containing relevant data, methodologies, and findings.
Evaluation Criteria:

Submissions will be evaluated based on:

  • Academic rigor and originality of the research.
  • Significance and impact on the field.
  • Methodological soundness.
  • Contribution to the advancement of Network Science and Graph Analytics.
Submission Guidelines:
  1. Submissions must be in English.
  2. Include a comprehensive biography.
  3. Submit an abstract and supporting files in PDF format.
Recognition:

The awardee will receive:

  • A certificate of Academic Excellence.
  • Recognition at an international conference.
  • Opportunities for collaboration and networking.
Community Impact:

The recipient's work should demonstrate a positive influence on the academic community, fostering collaboration and knowledge dissemination.

Biography:

Provide a brief biography highlighting academic achievements, relevant experience, and contributions to Network Science and Graph Analytics.

Abstract and Supporting Files:

The abstract should succinctly summarize the research, while supporting files should contain detailed methodologies, data, and findings.

Innovation Excellence Award in Network Science and Graph Analytics
Introduction of Innovation Excellence Award in Network Science and Graph Analytics Welcome to the forefront of recognition in the realm of Network Science and Graph Analytics! The Innovation Excellence Award
Outstanding Research Achievement Award in Network Science and Graph Analytics
Introduction of  Outstanding Research Achievement Award in Network Science and Graph Analytics Welcome to the pinnacle of excellence in the realm of Network Science and Graph Analytics! The "Outstanding Research
Academic Excellence Award in Network Science and Graph Analytics
Introduction of Academic Excellence Award in Network Science and Graph Analytics Welcome to the Academic Excellence Award in Network Science and Graph Analytics, recognizing outstanding achievements and contributions in the
Industry Impact Award in Network Science and Graph Analytics
Introduction of Industry Impact Award in Network Science and Graph Analytics Welcome to the Industry Impact Award in Network Science and Graph Analytics—an accolade honoring pioneers shaping the future of
Leadership in Business Applications Award in Network Science and Graph Analytics
Introduction of Leadership in Business Applications Award in Network Science and Graph Analytics Welcome to the forefront of innovation! The Leadership in Business Applications Award in Network Science and Graph
Collaborative Achievement Award in Network Science and Graph Analytics
Introduction of Collaborative Achievement Award in Network Science and Graph Analytics Welcome to the Collaborative Achievement Award in Network Science and Graph Analytics—a prestigious recognition celebrating innovation and collaboration in
Emerging Talent Award in Network Science and Graph Analytics
Introduction of Emerging Talent Award in Network Science and Graph Analytics Welcome to the future of Network Science and Graph Analytics! The Emerging Talent Award celebrates individuals who showcase exceptional
Strategic Implementation Award in Network Science and Graph Analytics
Introduction of Strategic Implementation Award in Network Science and Graph Analytics Welcome to the Strategic Implementation Award in Network Science and Graph Analytics—an accolade designed to recognize and honor outstanding
Pioneering Contribution Award in Network Science and Graph Analytics
Introduction of Pioneering Contribution Award in Network Science and Graph Analytics Welcome to the Pioneering Contribution Award in Network Science and Graph Analytics, celebrating the trailblazers shaping the future of
Outstanding Contribution to Graph Analytics in Business Award
Introduction of Outstanding Contribution to Graph Analytics in Business Award Welcome to the pinnacle of recognition for leaders shaping the future of Graph Analytics in the business realm. The Outstanding