Liwei Deng- Autonomous Driving- Best Researcher Award

Posted on by ResearchW

Liwei Deng- Autonomous Driving-Best Researcher Award

Prof. Liwei Deng distinguished academic and researcher in the field Autonomous Driving. 

🌐 Professional Profile

Educations📚📚📚

He holds a Ph.D. in Control Science and Engineering from the Harbin Institute of Technology, Harbin, China, which he earned in 2014. His dissertation focused on “Control Theory and Its Applications of Fractional Order Sliding Mode” under the supervision of Professor Shenmin Song. Prior to this, he completed a Master of Science in Control Theory and Control Engineering at Harbin University of Science and Technology in 2010, where his thesis was titled “Pressure Data Acquisition and Control System Based on ARM,” supervised by Professor Junshan Gao. He began his academic journey with a Bachelor of Engineering in Automation from Jiamusi University, Jiamusi, China, graduating in 2007.

 Experience:

He began his academic career as a Lecturer in the School of Automation at Harbin University of Science and Technology, serving from October 2014 to August 2018. Following this, he was promoted to Associate Professor within the same school, a role he held from August 2018 to August 2023. In September 2023, he was further promoted to the position of Professor at the School of Automation. Additionally, since May 2023, he has been serving as a Doctoral Supervisor in the School of Computer Science and Technology at Harbin University of Science and Technology.

Projects 

He has been actively involved in various research projects over the years. From 2021 to 2024, he led the Key R&D Program Guidance Projects of Heilongjiang Province (Grant No. GZ20210065), focusing on the development of intelligent winding equipment for hydrogen cylinders based on robots. As the Principal Investigator for the National Science Foundation for Young Scientists of China (Grant No. 61806060) from 2019 to 2021, he researched diabetic retinal image analysis algorithms using fractional order differential and deep learning. During the same period, he also served as Principal Investigator for a project funded by the Natural Science Foundation of Heilongjiang Province, China, which focused on the key technology of defect detection of wind turbine blades based on images taken by unmanned aerial vehicles. From 2017 to 2020, he was the Principal Investigator for the Harbin Program of Science and Technology (Grant No. 2017RAQXJ006), which aimed to develop key technologies for the automatic production line for rubber bridge bearing members. Additionally, he played significant roles in several other projects, including being a Principal Participant in the National Natural Science Foundation of China project (Grant No. 61174037) on distributed motion autonomous coordination control of on-orbit multi-spacecraft expectation mode (2011-2015), a Participant in the State Key Program of National Natural Science of China (Grant No. 61333003) on coordination control technology for networked satellite clusters (2012-2016), and a Principal Participant in a project funded by the Natural Science Foundation of Heilongjiang Province, China (Grant No. F030101) on the dynamic morphology of hyperchaotic attractors (2013-2016).

📝🔬Publications📝🔬

    • Deng, L., Zou, Y., Yang, X. et al. L2NLF: a novel linear-to-nonlinear framework for multi-modal medical image registration[J]. Biomed. Eng. Lett.(2024).（WOS:001139763600001）
    • Deng, L., Lan, Q., Zhi, Q. et al. Deep learning-based 3D brain multimodal medical image registration[J]. Med Biol EngComput .2024,62: 505–（WOS:001098686900001）
    • Biao Zhang, Sheng Wang, Liwei Deng, et al.Ship motion attitude prediction model based on IWOA-TCN-Attention[J].Ocean Engineering,2023,272:113911
    • Liwei Deng, Henan Sun, Jing Wang, et al.A Novel Unsupervised MRI Synthetic CT Image Generation Framework with Registration Network[J].CMC-Computers, Materials & Continua,2023,77(2):2271–（WOS:0011269599000 24）
    • Liwei Deng, Zhen Liu,Jiandong Wang et al.ATT-YOLOv5-Ghost: Water surface object detection in complex scenes[J].Journal of Real-Time Image Processing,2023,20:97.（WOS:001050358900001）
    • LiweiDeng,ShanshanLiu,WeiShi,et al.Defect Detection and Classification of Offshore Wind Turbine Rotor Blades[J].Nondestructive Testing and Evaluation,2023.（WOS:001025791800001）
    • Yuheng Yin, Yangang Guo, Liwei Deng, et al.Improved Pspnet-Based Water Shoreline Detection in Complex Inland River Scenarios[J]. Complex & Intelligent Systems, 2022,9(1): 233-245.（WOS:000816995100001）
    • Liwei Deng, Yue Wang, Qi Lan,etal.Remote sensing image building change detection based on efficient-UNet++[J].Journal of Applied Remote Sensing,2023,17(3):034501.（WOS:00177860300006）
    • Liwei Deng, He Cao,QingboDong,etal.Semi-Supervised Lane Detection for Continuous Traffic Scenes[J].Traffic Injury Prevention.2023,24(6):452-457.（WOS:001008469300001）
    • Liwei Deng, Yanchao Zou, SijuanHuang,et al. Deformable 3D Medical Image Registration with ConvolutionalNeural Network and Transformer[J].Journal of Instrumentation.2023,(18):P04029（WOS:000986658100 001）
    • Rui Zhang, Cong Xie, Liwei Deng. A Fine-Grained Object Detection Model for Aerial Images Based on Yolov5 Deep Neural Network[J]. Chinese Journal of Electronics, 2023, 32(1): 51-63.（WOS:000932261100001）
    • Liwei Deng, Yufei Ji, Sijuan Huang, et al.Synthetic CT generation from CBCT using Double-Chain-CycleGAN[J].Computers in Biology and Medicine.2023,106889.（WOS:001006917800001）
    • Liwei Deng, JiandongWang, Zhen Liu. Cascaded Network Based on EfficientNet and Transformer for Deepfake Video Detection[J].Neural Processing Letters.2023.（WOS:000961765200002）
    • Liwei Deng, QiangZhi, Sijuan Huang, et al. A Deformable Patch-based Transformer for 3D Medical Image Registration[J].International Journal of Computer Assisted Radiology and Surgery.2023.（WOS:000990481800001）
    • Liwei Deng, Yuanzhi Zhang, Xin Yang, et al. Meta-learning Multi-scale Radiology Medical Image Superresolution[J].CMC-Computers, Materials & Continua.2023,75(2) :2671-2684.（WOS:000980836000018）
    • Liwei Deng, Yuanzhi Zhang, Jing Wang, et al. Improving Performance of Medical Image Alignment through Super-resolution[J].Biomedical Engineering Letters.2023.（WOS:000934806000001）
    • LiweiDeng ,Mingxing Zhang , JingWang, et al.Improving Cone-Beam Ct Quality Using a Cycle-Residual Connection with a Dilated Convolution-Consistent Generative Adversarial Network[J]. Physics in Medicine & Biology, 2022,67(14): 145010.（WOS:000822102200001）
    • Liwei Deng, Jie Hu, Jing Wang, et al.Synthetic CT Generation Based on CBCT Using Respath-cycleGAN[J]. Medical Physics, 2022,49(8): 5317-5329.（WOS:000792418600001）
    • Zhe Yan, Shuchun Chu, Liwei Deng. Visual SLAM Based on Instance Segmentation in Dynamic Scenes[J]. Measurement Science and Technology.2021,32(9):095113.（WOS:000662668300001）

    Conference Papers

    • Liwei Deng*, Yuanzhi Zhang, Xiaofei Wang. High-definition Processing of Remote Sensing Images Based on CUT-CycleGAN[C], The 40th Chinese Control Conference, CCC 2021.( EI：20214311045982).
    • Liwei Deng*, YueWang, Jing Han. Optical Disc Location Based on Similarity toImproved Harris Algorithm[C], The 40th Chinese Control Conference, CCC 2021.( EI：20214311046402).
    • Liwei Deng*, Hongfei Suo, Haonan Ren. Research on Tension Control System of Winding Machine Based on Fuzzy PID Algorithm[C], The 40th Chinese Control Conference, CCC 2021.( EI：20214311045650).
    • Yuheng Yin, Yangang Guo, Liwei Deng*. Research on Image Processing Application of Improved Adaptive Filter Based on LPSO Algorithm[C], The 40th Chinese Control Conference, CCC 2021.( EI：20214311045948).
    • Yanshu Jiang, Mingqi Jia, Biao Zhang, Liwei Deng. Malicious Domain Name Detection Model Based on CNN-GRU-Attention[C], The 33rd Chinese Control and Decision Conference, CCDC 2021.
    • Liwei Deng, Xiaofei Wang.A New Fracture Image Segmentation Method Based on MSA-k Clustering Algorithm[C], The 39th Chinese Control Conference, CCC 2020.( EI：20203909242340).
    • Liwei Deng,Jie Hu,Jingjing Qi. Super-Resolution Reconstruction of Finger Vein Image Based on Regression Tree Model[C],The 32nd Chinese Control and Decision Conference, CCDC 2020.( EI：20204009254996).

Mehmet Fatih YUCE – Networks Science Award – Best Researcher Award

Posted on by ResearchW

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📝🔬

Fardin Noori – Topological Networks – Graph Analytics Pioneer Award

Posted on by ResearchW

Mr. Fardin Noori distinguished academic and researcher in the field  Topological Networks.  He has accumulated valuable teaching experiences, primarily within the realm of Electrical Engineering in the Oil, Gas, and Energy Industries. From August 2020 to February 2023, he played a pivotal role in instructing newly graduated trainees through an intensive course at Tarh O Palayesh Engineering Company in Tehran, Iran. In this capacity, he imparted essential knowledge and practical skills relevant to the industry, contributing to the professional development of aspiring engineers. Additionally, in February 2020, he facilitated a course focused on Solar Cells and Modules Production at the same institution. Through these teaching engagements, he has demonstrated his commitment to knowledge dissemination and nurturing the next generation of industry professionals.

🌐 Professional Profiles

Educations📚📚📚

He pursued his education with a focus on Electrical Engineering, specializing in Power Systems. This journey commenced with his Bachelor of Science degree at the Electrical Engineering Department of Shahid Rajaee University in Tehran, Iran, where he achieved a commendable GPA of 15.82/20 over the duration of four years, from September 2010 to September 2014. Building upon this foundation, he furthered his academic pursuits by attaining a Master of Science degree in Electrical Engineering – Power Systems from Shahid Beheshti University, also located in Tehran, Iran. During this advanced program, spanning from September 2015 to February 2018, he demonstrated his commitment to excellence with a GPA of 14.63/20. His dedication to his field was evident even during his earlier academic years, as reflected in his impressive GPA of 19.27/20 during his High School and Pre-University Diploma studies from September 2006 to September 2010, with a focus on Mathematics and Physics. Throughout his educational journey, he exhibited a strong aptitude for his chosen field, laying a solid foundation for his future endeavors in Electrical Engineering.

Research Interest

His research interests encompass a diverse array of topics within the realm of Electrical Engineering. With a keen focus on advancing the field, he is particularly drawn to exploring the intricacies of Microgrid and Smart Grid technologies, recognizing their potential to revolutionize energy distribution systems. Delving into the complexities of the Electricity Market, he seeks to unravel the dynamics shaping its evolution and impact on energy accessibility and affordability. His commitment to sustainability is evident in his pursuit of understanding Renewable Energy Integration strategies, aiming to optimize their utilization and minimize reliance on traditional energy sources. Additionally, he is intrigued by the challenges posed by Uncertainty Modeling, endeavoring to develop robust frameworks to address unpredictabilities in energy systems. Furthermore, his interests extend to Energy Management Systems, where he explores innovative approaches to enhance efficiency and reliability in energy consumption. Finally, he is captivated by the possibilities presented by Energy Storage Systems, recognizing their pivotal role in facilitating the transition towards a more resilient and sustainable energy landscape. Through his research pursuits, he aspires to contribute meaningfully to the advancement of these critical areas within Electrical Engineering.

🏆🏆HONORS AND AWARDS🏆🏆

He has consistently demonstrated exceptional academic prowess and performance, earning recognition at various levels of education. Notably, in 2015, he achieved an outstanding rank of 187th in the National-Wide University Entrance Exam for Master’s Degree in Electrical Engineering, showcasing his aptitude and dedication to his field of study. His academic excellence was further underscored in 2010 when he distinguished himself within the top 2 percent nationwide in the Mathematics and Physics University Entrance Exam for Bachelor’s Degree. This remarkable achievement, surpassing over 320,000 participants, reflects his exemplary command of the subject matter and his ability to excel in competitive academic environments. Moreover, throughout his high school and pre-university years from 2006 to 2010, he consistently ranked among the top students, earning recognition for his academic achievements and dedication to learning. His consistent track record of academic excellence speaks volumes about his commitment to intellectual growth and his innate talent in the field of mathematics and physics.

WORK EXPERIENCE 

He brings a wealth of practical experience to his professional portfolio, having held various roles within the engineering domain. Commencing his career journey as a Power System Engineering Intern at Sheikh Baha’i High Voltage Substation in Tehran, Iran, he laid the groundwork for his future endeavors. His career trajectory led him to assume roles of increasing responsibility and expertise at Tarh O Palayesh Engineering Company in Tehran, Iran. Here, he demonstrated his leadership abilities as a Project Manager, overseeing the Asalouyeh Operational Base Solar Power Plant Project from December 2021 to June 2023. Prior to this, he served as a Project Section Leader of Overhead Transmission Line Discipline, managing tasks related to integrated environment studies and engineering design for the Sohrab Oil Field Development Project.

His tenure also saw him contribute as a Renewable Engineer, conducting feasibility studies for renewable energy utilization in the Andisheh New Town Project. Additionally, he held the position of Deputy Head of Electrical Discipline, showcasing his strategic acumen and organizational skills. His role as an Electrical Engineer and Designer involved spearheading critical projects such as the South Pars Gas Company Refineries Safety Systems Upgrading Project and the Kish Gas Field Development Project. Throughout his career, he has exhibited a strong commitment to excellence, innovation, and sustainability, contributing significantly to the advancement of the engineering industry in Iran.

 

📚📚📚

 

 

 

 

Taqwa Alhadiddi – Transaportation Engineering- Best Researcher Award

Posted on by ResearchW

Taqwa Alhadiddi – Transportation Engineering

Asst. prof Dr. Taqwa Alhadiddi  distinguished academic and researcher in the field Transaportation Engineering. Dr.TaqwaI.Alhadidi is the assistant professor of the Intelligent Transportation Systems and Data Analytics in the Department of Civil and Environment Engineering at Al-Ahliyya Amman University(AAU). Prior joining AAU,Dr.Taqwa worked as a Research Assistant in the Center of Sustainable Mobility at Virginia Tech Transportation Institute from 2017 until she received her Ph.D in June 2020. From 2016-2017 Dr.Taqwa was a visiting graduate student at Illinois Institute Technology in Traffic simulation lab.Dr.Taqwa is an active member in different professional committees including ASCE, WTS. She is also an active reviewer in different journals.

🌐 Professional Profiles

Educations: 📚🎓

From August 2017 to June 2020, she pursued her Ph.D. in Civil and Environmental Engineering with a focus on Transportation and Infrastructure Systems, specializing in Traffic Engineering and Modeling at Virginia Tech in Blacksburg, Virginia. Her dissertation, titled “Modeling Transit Vehicle Travel Time Components for Use in Transit Applications,” showcased her dedication to advancing knowledge in the field. During this period, she undertook a range of main courses, including Traffic Characteristics and Flow, Applied Stochastic Processes, Traffic Signal Systems Control and Operations, Urban Computing and Design, and Data Analytics. Additionally, she completed a Graduate Certificate in Urban Computing from Virginia Tech, enhancing her expertise in areas such as Traffic Flow and Characteristics, Data Analytics, and Urban Computing.

Before her Ph.D., she earned her Master of Science degree in Civil and Environmental Engineering with a focus on Transportation Engineering from the University of Jordan in Amman from February 2013 to June 2015. Her thesis, “Unconventional Intersection Designs for Improving Traffic Operation Along Arterial Roads,” demonstrated her commitment to innovative solutions in transportation. During her master’s program, she delved into courses like Advanced Pavement Design, GIS, Transportation Planning, and Traffic Flow Theory.

Her academic journey began from September 2008 to August 2012 when she completed her Bachelor of Science degree in Highway and Bridges Engineering from the Faculty of Engineering Technology. This foundational period equipped her with essential knowledge and skills that laid the groundwork for her subsequent achievements in the field of Civil and Environmental Engineering.

 

ACADEMIC EXPERIENCE AND ADMINISTRATIVE
POSITIONS 

In the academic years of 2015-2016, she served as a full-time lecturer at Al-Ahliyya Amman University, where she played a pivotal role in the Department of Civil and Environmental Engineering. Her responsibilities encompassed teaching various undergraduate courses related to transportation engineering, covering aspects of planning, operation, and design. In addition to her teaching duties, she actively contributed to administrative tasks, including student advising and representing the department at the ABET committee. As a student advisor, she guided students through registration processes, assisted in creating study plans, and provided support during their post-graduation orientation. Her participation in the ABET committee offered her a valuable experience in academic accreditation, allowing her to contribute to the formulation of qualitative and quantitative measures necessary for ABET accreditation or other accreditation types.

Subsequently, from 2016 to 2017, she took on the role of a Graduate Visiting Student at the Illinois Institute of Technology. During this period, she played a key role in preparing the manuscript for the transportation asset management book authored by Zongzhi Li. Simultaneously, she conducted an extensive literature review across various transportation research areas. Additionally, she engaged in modeling Chicago transit trips using STOPS software and worked on modeling transit desert areas in specific Chicago regions, showcasing her multidimensional expertise.

Her academic journey continued from 2017 to 2020, where she served as a Graduate Research Assistant at the Virginia Tech Transportation Institute (VTTI) under Virginia Polytechnic and State University’s Civil and Environmental Engineering department. In this capacity, she contributed to cutting-edge research in transportation, further enhancing her skills and knowledge in the field.

 

Membership

–

In her academic and professional journey, she has been an active member of various prestigious organizations, showcasing her commitment to the field of transportation engineering. Since 2017, she has been a member of the Institute of Transportation Engineers (ITE) and the American Society of Civil Engineers (ASCE). Her dedication to promoting diversity and women in the field is evident through her membership in Women In Transportation-Virginia Tech chapter (WTS) since 2019. Moreover, she has been actively involved in the transportation committee at the Jordanian Engineering Association (JEA) since 2015 and has held leadership roles, including participation in the youth civil engineering committee at JEA since 2015. Her contributions extend to her role as a member in the TRB Standing Committee on Traffic Flow Theory (TRB-AHB45) since 2012.

Notably, she has been an active peer reviewer for esteemed journals and committees, including the Journal of Public Transportation, Journal of Transportation Research Interdisciplinary Perspectives, Transportation Research Board’s Transit committee, and Intelligent Transportation Systems committee. Her commitment to the scholarly community reflects in her dedication to reviewing and evaluating research contributions since 2019.

In addition to her involvement in professional organizations, she has made significant contributions to academia. As a lecturer, she served as a guest lecturer with the Rab American Association of Engineers and Architects at the University of Illinois at Urbana-Champaign, delivering fundamental engineering sessions on November 19th, 2021. Furthermore, she has supervised multiple master’s theses, demonstrating her mentorship capabilities and commitment to advancing research in her field.

Her teaching portfolio spans a range of undergraduate and graduate courses, covering transportation engineering, public transportation engineering, pavement design and pavement lab, geometric design and railway, and senior graduation projects. In graduate studies, she has taught courses such as Analytical Techniques in Transportation Engineering and Traffic Simulation and Modeling. Her teaching responsibilities include not only delivering lectures but also overseeing grading, providing course projects, and evaluating overall course performance.

Her academic and professional journey showcases not only her expertise in transportation engineering and research but also her dedication to mentorship and education, contributing significantly to the advancement of her field.

 

Conference or Workshop Item

  • Alhindawi, R &Alhadidi.T (2024). Weather Conditions Using Bayesian Networks: A Scene-Based Approach with CARLA Simulation. Proceedings of Ninth International Congress on Information and Communication Technology : ICICT 2024, London, Volume 4.
  • ALHADIDI, T. (2023). A Framework for Implementation Public-Private Partnership in Roads’ Maintenance and Operating Projects in Jordan. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 26, 760-769.
  • ALHADIDI, T., & ELHENAWEY, M. (2023). Modeling Crashes Severity Using Ensemble Techniques. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 26, 357-365.
  • Alhadidi,T and Shbeeb.L “ Predicting Cycle Length at Urban Signalized Roundabout Intersection using Machine Learning Models” presented in the 10th conference on scientific research in Jordan, November, 2021.
  • lhadidi, T and H.Rakha. Estimating Transit Vehicle Travel Time Components in the Vicinity of Bus Stops (2020). Presented in the 100thAnnual Meeting of the Transportation Research Board, Washington, D.C., USA.
  • Alhadidi, T., Elhenawy, M., & Rakha, H. (2019). Stochastic Modeling of Bus Passenger Boarding/Alighting Times. Presented at the 98thAnnual Meeting of the Transportation Research Board, Washington, D.C., USA, January 2019 (No. 19-02703).
  • Lina Shabeeb, Amer Hijazi, and Taqwa Hadidi. Roadway User’s Behavior & Implication of Safety (2014). Presented at Fourth Jordan international conference and exhibition for roads and transport.

 

 📚Top Noted Publication

Damon Centola – Networks- Best Researcher Award

Posted on by ResearchW

Prof. Damon Centola a distinguished academic and researcher in the field of Collective Intelligence .His academic journey began with a Bachelor’s degree in Philosophy/Logic, where he graduated summa cum laude from Marlboro College in 1997. This rich educational background reflects his dedication to intellectual pursuits and lays the foundation for his contributions to the field of sociology.

Eduvation

He earned his educational credentials in the field of sociology, culminating in a Ph.D. from Cornell University in 2006. Prior to this, he completed his Master’s in Sociology at Cornell University in 2004, showcasing a commitment to advancing his expertise in the subject. His academic journey began with a Bachelor’s degree in Philosophy/Logic, where he graduated summa cum laude from Marlboro College in 1997. This rich educational background reflects his dedication to intellectual pursuits and lays the foundation for his contributions to the field of sociology.

 

Professional Profiles:

Appointments
He holds a distinguished series of appointments, currently serving as the Elihu Katz Professor of Communication, Sociology, and Engineering at the University of Pennsylvania since 2021. Prior to this role, he held the position of Professor of Communication at the Annenberg School for Communication, concurrently serving as Professor of Engineering (secondary) in the School of Engineering and Applied Sciences, and Professor of Sociology (secondary) in the School of Arts and Sciences at the University of Pennsylvania from 2019 to 2021.
In 2019, he assumed the role of Senior Fellow at the Penn LDI Center for Health Incentives and Behavioral Economics, and became a faculty member at both the Penn Population Studies Center and the Penn Master of Behavioral and Decision Sciences Program. Since 2013, he has been a faculty member at the Penn Warren Center for Network and Data Sciences, concurrently directing the Network Dynamics Group. His academic journey includes serving as an Associate Professor at the Annenberg School for Communication and the School of Engineering and Applied Sciences at the University of Pennsylvania from 2013 to 2019. Prior to joining the University of Pennsylvania, he was an Assistant Professor at the MIT Sloan School of Management from 2008 to 2013. Notably, in 2006-08, he held the prestigious position of Robert Wood Johnson Scholar in Health Policy at Harvard University, and in 2001-02, he was a Visiting Scholar at The Brookings Institution.

Research

Social Change, Diffusion of Innovations and Ideas, Simple and Complex Contagions, Structural
Inequality, Medical Bias, Collective Intelligence, Social Epidemiology, Collective Action and
Social Movements, Sustainability and Climate Change, Cultural Evolution and Norms, Social
Networks, Centrality and Influence, Online Experimental Methods, Computational Social Science

Awards and Fellowships

He has amassed a plethora of accolades and honors throughout his illustrious career. In 2019, he earned the prestigious Harrison White Outstanding Book Award from the American Sociological Association and was honored with the Top Paper Award in Health Communication by the International Communication Association. His notable contributions were further underscored by the receipt of the Best Paper Award at the 2018 International Conference on Computational Social Science and the James Coleman Award for Outstanding Article from the American Sociological Association in 2017. The year 2016 brought the distinction of being named a Wharton Mack Institute Fellow. Over the academic year 2014-15, he held fellowships at both the Center for Advanced Study in the Behavioral Sciences at Stanford University and the Lenore Annenberg and Wallis Annenberg Endowment for Communication.

A significant highlight in 2014 was the award of U.S. Patent #8713143, recognizing his innovative method of creating social networks to facilitate behavior change. His impact also extends into the scientific realm, demonstrated by his participation in the Kavli Frontiers of Science program by the National Academy of Sciences in 2012. Early in his career, he was honored with the Leo Goodman Early Career Award in Sociological Methodology in 2011 and received the Award for Outstanding Article in Mathematical Sociology from the American Sociological Association in 2011, 2009, and 2006.

In 2010, he was recognized with the MIT Faculty Prize for Research in Computers and Communications. Additional accolades include the Award for Outstanding Article in Mathematical Sociology from the American Sociological Association in 2009 and 2006. His academic journey features prestigious fellowships, including the Columbia University Exchange Scholar Fellowship in 2004, NSF EITM Summer Fellowship in 2004, Cornell University Russell Sage Fellowship in 2002, NSF IGERT Fellowship in Non-linear Dynamics and Chaos in 2002, and the Santa Fe Institute Summer Fellowship in 2000.

Books
Centola, Damon. (expected 2024) Structural Intelligence. Cambridge, MA: MIT Press.
Centola, Damon. 2021. Change: How to Make Big Things Happen. New York: Little, Brown & Co.
• Translations into Chinese, Romanian, Korean, Russian, Dutch, Thai, Japanese, Italian, Turkish,
Portuguese (Brazil)
• Selected Reviews & Coverage: Nature, New York Journal of Books, The New York Times, NPR
Hidden Brain, Radio Times, Inside Higher Ed, Annual Reviews, The Current, Ottawa Writers Festival,
ABC Australia, Times of India
Centola, Damon. 2018. How Behavior Spreads: The Science of Complex Contagions. Princeton, NJ:
Princeton University Press.
• 2019 Harrison White Outstanding Book Award, American Sociological Association
• Translations into Chinese, Arabic, Polish
• Selected Reviews & Coverage: Science, The Journal of Mathematical Sociology, Information,
Communication & Society, New Scientist, MIT Sloan Management Review, Strategy + Business, The
American Interest, American Journal of Sociology, Contemporary Sociology
Selected Conference and Working Group Presentations
Complex Centrality and Predicting Influence,” ASA Regular Session, August 2023.
“Social tipping points for unprecedented change,” EU Learn, Knowledge Talks on Tipping Points,
threats and opportunities, June 2022.
“Reduction of race and gender bias in recommendations for clinical treatment using a clinician peer
network based intervention in experimental setting,” Annual ICA Conference, May 2022.
“Influencers and Misinformation,” DARPA Studying Long-Tailed Influencer-Enabled Crowd
Extremism, October 2021
Publication

Fatih Kasimoglu |Project Scheduling

Posted on by ResearchW

Assist Prof Dr. Fatih Kasimoglu |Project Scheduling

Academician/Research Scholar

Congratulations , Assist Prof Dr. Fatih Kasimoglu |Project Scheduling , 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

  • Ph.D.:OperationsResearch, Defense Sciences Institute, Turkish Military Academy, Ankara, Türkiye, 2015. Dissertation: “Interdiction Models in CPM Projects in a Competitive Environment.”
  • • Thesis Dissertation supported by The Scientific And Technological Research Council Of Türkiye (TUBITAK), Grant No. 214M196. M.S.: Operations Research, Naval Post Graduate School, Monterey, California, USA, 2004. Thesis: “An Integer Linear Programming Model to Schedule an Army Installation`s Maneuver Training.” B.S.: System Engineering, Turkish Military Academy, Ankara, Türkiye, 1997.

EMPLOYMENT&EXPERIENCE

(2020-Present): Academic, Faculty of Engineering, Industrial Engineering Department, Doğuş University, İstanbul, Türkiye.

(2019-2020): Academic, Faculty of Engineering, Industrial Engineering Department,Doğuş University,İstanbul, Türkiye.

 

Peer-Reviewed Book Chapters:

  1. İş Analitiğinde Yöneylem Araştırması Uygulamalar – Yenilenebilir Kaynaklar ile Proje Çizelgeleme: İki Amaçlı Bir Yaklaşım (2022)
    • Author: Kasımoğlu Fatih
    • Published by Gazi Kitabevi in 2022
    • Printing: 1st
    • Page Count: 140
    • ISBN: 978-625-8275-36-0
  2. İş Analitiğinde Matematiksel Modelleme – Tedarik Zinciri Siber Güvenliği için bir Risk Optimizasyon Modeli (2022)
    • Authors: Pinar Adem, Kasımoğlu Fatih
    • Published in 2022
    • Printing: 1st
    • Page Count: 183
    • ISBN: 9786258374698

Publications