Rayhane Sadeghi – Network Visualization- Women Researcher Award

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Rayhane Sadeghi – Network Visualization

Ms.  Rayhane Sadeghi distinguished academic and researcher in the field  Network Visualization. Her research interests lie at the intersection of physics and computer science, with a focal point on machine learning and its applications in solar physics research and astronomy. She is particularly intrigued by the dynamic behavior of the Sun and its implications for space weather and our comprehension of the universe.

 

🌐 Professional Profiles

Educations: 📚🎓

She pursued her academic journey in Physics with a specialization in Plasma from 2019 to 2022 at Payam e Noor University and Amirkabir University of Technology in Tehran, Iran. Her thesis focused on investigating the dynamic behavior of solar chromospheric bright points within network Python frameworks and internetwork Energy Engineering-Radiation applications. Prior to her M.Sc, she completed her undergraduate studies from 2010 to 2014 at the Karaj Branch of Islamic Azad University in Iran, majoring in Electrical Engineering-Electronics. Her thesis during this period explored the application of wavelet transform in power quality evaluation, blending mathematics and physics. Before her undergraduate studies, she attended the National Organization for Development of Exceptional Talents (NODET) from 2003 to 2010 in Karaj, Iran.

Research Fields:

One area of particular interest to her is the utilization of machine learning techniques to analyze data from the IRIS and HINODE spacecraft. These missions have bestowed unprecedented views of the Sun’s atmosphere, generating vast datasets exploitable for studying a myriad of phenomena, from magnetic reconnection events to coronal loop dynamics. Additionally, she harbors curiosity about amalgamating physics and computer science in diverse research realms, such as formulating new algorithms for astronomical data analysis or employing machine learning to model intricate physical systems.

Within the realm of solar physics, she aims to delve into various topics, encompassing the mechanisms propelling the Sun’s magnetic field, the characteristics of solar flares and coronal mass ejections, and the interplay between the solar wind and the Earth’s magnetosphere. Through the development of novel tools and techniques for scrutinizing solar data, she aspires to enrich our comprehension of these phenomena and contribute to the broader expanse of space science.

In sum, she is eager to pursue a PhD in this domain and collaborate with leading researchers to craft innovative methods for investigating the Sun and other celestial entities. She holds the conviction that the amalgamation of physics and computer science offers a potent avenue for advancing our cosmic understanding and devising inventive solutions to intricate problems. As a dedicated and impassioned researcher, she is resolute in her commitment to making significant strides in this field and propelling our understanding of the cosmos.

Award

She is a remarkable individual, recognized as the top graduate in both the first district of Payame Noor University and across Tehran province. Her excellence extends beyond academia, as demonstrated by her achievements, including winning the 22nd Khwarizmi Youth Awards for her innovative work on Alborz state security robots. Additionally, she has been honored with certificates from prestigious competitions such as the Demo of 3rd Iran Open Robotic Competition at QIAU and the 5th Smart Mice and Robotic Competition at Islamic Azad University, Tabriz Branch. Her dedication and ingenuity in the field of robotics showcase her as a standout talent in her field.

 

Conference

She is an accomplished researcher who has made significant contributions to various scientific symposiums and conferences. Her expertise spans multiple disciplines, including physics, solar physics, and geophysics. Notably, she has presented oral presentations and posters on topics such as characterizing solar spicules, exploring damping properties of iris bright points, and investigating magnetic bright point characteristics. Her use of advanced techniques like machine learning, deep learning, and spectral analysis highlights her innovative approach to research. Additionally, her presentations on topics such as geometric components of resistivity measurement and the performance of well logging tools demonstrate her proficiency in geophysical investigations. With her collaborative efforts in poster presentations, she showcases her ability to work effectively within research teams. Overall, her contributions to the scientific community underscore her as a dedicated and accomplished researcher in her field.

 

 📚Top Noted Publication

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.

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

 

 

Damon Centola – Networks- Best Researcher Award

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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

Shahid Alam – Network science

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Dr. Shahid Alam – Leading Researcher in Network Science

Education📚

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

 

Professional Profiles:

RESEARCH EXPERIENCE

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

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

CAREER HISTORY

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

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

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

 

 

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

Posted on by usudeeparya
 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)