Yingya Guo- Computer Network – Best Researcher Award

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Yingya Guo- Computer Network – Best Researcher Award

Assoc Prof Dr. Yingya Guo distinguished academic and researcher in the field Computer Network.

🌐 Professional Profile

Educations📚📚📚

She earned her PhD in Computer Science and Technology from Tsinghua University, where she studied under the guidance of Professor Jianping Wu from September 2013 to July 2019. During her doctoral studies, she spent a year as a visiting scholar at the Tandon School of Engineering at New York University, working with Professor H. Jonathan Chao from October 2017 to September 2018. Prior to her PhD, she completed her Bachelor’s degree in Computer Science and Technology at Xiamen University, graduating fourth in a class of 121 in July 2013.

📝🔬Publications📝🔬
1. Guo Y, Wang Z*, Yin X, et al. Traffic engineering in hybrid SDN networks with multiple traffic
matrices[J]. Computer Networks, 2017.
2. Guo Y, Wang Z*, Yin X, et al. SOTE: Traffic Engineering in Hybrid Software Defined
Networks [J]. Computer Networks, 2019.
3. Guo Y, Wang Z*, Yin X, et al. Joint Optimization of Tasks Placement and Routing to Minimize
Coflow Completion Time[J], Journal of Network and Computer Applications, 2019.
4. Guo Y, Wang Z*, Yin X, et al. Traffic engineering in SDN/OSPF hybrid network[C]. IEEE
International Conference on Network Protocols (ICNP), 2014.(Google scholar citation: 60)
5. Guo Y, Wang Z*, Yin X, et al. Optimize Routing in Hybrid SDN Network with Changing
Traffic[C]. IEEE International Conference on Computer Communication and Networks
(ICCCN), 2017.
6. Guo Y, Wang Z*, Yin X, et al. Joint Optimization of Task Placement and Routing in Minimizing
Inter-DC Coflow Completion Time[C]. IEEE International Conference on Computer
Communication and Networks (ICCCN), 2017.
7. Guo Y, Wang Z*, Yin X, et al. Incremental deployment for traffic engineering in hybrid SDN
network[C]. IEEE International Conference on Performance Computing and
Communications (IPCCC), 2015.
8. Guo Y, Wang Z, Yin X, et al. Achieving Balance Between Link Utilization and Traffic Latency
in Inter-DC WAN Using Deep Reinforcement Learning [J]. IEEE transactions on networking,
2019.(submitted)
9. Guo Y, et al. Optimizing routing with paths cardinality constraints in hybrid SDN [J],
Computer Networks, 2019. (submitted)

Giorgia Modenini – Biological Networks – Young Scientist Award

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Giorgia Modenini – Biological Networks – Young Scientist Award

Dr. Giorgia Modenini distinguished academic and researcher in the field Biological Networks.

🌐 Professional Profile

Educations📚📚📚

She has been deeply engaged in academic pursuits since 2014,  commencing with her Bachelor of Science degree in Natural Sciences from the University of Bologna, Italy, where she attained a commendable grade of 106/110. This laid the foundation for her subsequent academic journey. Building upon her undergraduate studies, she pursued a Master of Science in Biodiversity and Evolution at the same institution, achieving the highest distinction of 110/110 cum laude, indicative of her exceptional aptitude and dedication. Undeterred by challenges, she continued to excel in her academic endeavors and embarked on a PhD course in Environment, Earth, and Life Sciences at the University of Bologna. Spanning from 2020 to the present, this doctoral program underscores her commitment to advancing knowledge and contributing to the fields of biological, geological, and environmental sciences. Throughout her academic trajectory, she has demonstrated a fervent passion for her chosen disciplines and a relentless pursuit of excellence.

Awards

She has actively contributed to the academic community through various engagements and leadership roles in conferences focused on the role of transposable elements in human evolution and diseases. Notably, she organized and co-chaired the “Transposable Elements in Human Brain Evolution and Diseases” virtual conferences in December 2021 and December 2022, featuring esteemed speakers such as Marie Jönnson, Jose Luis Garcia-Perez, Fabio Macciardi, Cedric Feschotte, Johan Jakobsson, and Molly Gale Hammell. Her dedication to advancing knowledge in this field is further exemplified by her role as the organizer and co-chair of the “Transposable Elements in Human Evolution and Diseases” virtual conference in February 2024, featuring confirmed invited speakers Anna Sophie Fiston-Lavier and Marco Trizzino. Moreover, her outstanding contributions were recognized with the “Best Poster Award” at the XXV Congress of the Italian Anthropological Association, presented by the Italian Primatologists Association, for her poster titled “Exploring signatures of adaptive introgression on chromosome 22 in worldwide human populations,” a fitting tribute to the memory of Judith Masters and Fabien Génin. Through these endeavors, she continues to foster collaboration and facilitate discussions at the forefront of scientific research.

Academic experience

She has been actively involved in various academic activities spanning several years, showcasing her commitment to advancing knowledge in her field. From April to September 2019, she undertook an internship at the Molecular Anthropology Lab at the University of Bologna, Italy. Here, she delved into the intricate relationships between non-LTR retrotransposons and schizophrenia in both modern and ancient human populations. This experience provided her with invaluable insights into the intersection of genetics and mental health. Subsequently, in February to May 2023, she embarked on an international internship at the Globe Institute, Lundbeck Foundation, Copenhagen, Denmark. During this period abroad, she immersed herself in the project titled “Investigating human evolution through the lens of retrotransposons,” further expanding her understanding of evolutionary genetics. Currently, since November 2020, she has been engaged as a PhD student at the Molecular Anthropology Lab, University of Bologna, Italy. Her doctoral research focuses on studying retrotransposition events and DNA methylation in the evolution of the human brain, a testament to her continued dedication to unraveling the complexities of human evolution and genetics.

Seminars and thesis

She has been actively involved in supervising and supporting research projects and academic activities related to transposable elements and genetic variability. Under her guidance as a supervisor, Giacomo Mercuri presented his thesis titled “Polymorphic transposable element insertions provide new insights into North-Eastern Italian isolates’ genetic variability” for the LM Biodiversità ed Evoluzione program. Similarly, Stefano Puleo explored the signatures of adaptive introgression on chromosome 22 in worldwide human populations for his thesis under her supervision. Additionally, she has contributed to the academic community by delivering lessons on “Transposable Elements as drivers of genome evolution” and “Transposable Elements as drivers of evolution” for the course “Genetica di popolazione ed evoluzione molecolare,” showcasing her expertise in the field. Furthermore, she supervised Francesco Magni’s thesis, which focused on transposable elements variability in ancient and modern human samples, further enriching the understanding of genetic dynamics. Through these mentorship roles and academic contributions, she continues to advance knowledge and foster intellectual growth in the field of biodiversity and evolution.

📝🔬Publications📝

 

 

 

Thomas Liehr – Biological Networks Award – Best Researcher Award

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Thomas Liehr – Biological Networks Award – Best Researcher Award

Assoc Prof Dr. Thomas Liehr distinguished academic and researcher in the field Biological Networks. The Lab of Molecular Cytogenetics at the Institut für Humangenetik in Jena pursues various research lines, all linked by a common interest in chromosome structure and evolution. His primary focus lies within the realm of clinical genetic research, specifically in characterizing acquired and inherited chromosomal aberrations to comprehend the underlying biological mechanisms behind such deviations from the norm. Ongoing projects delve into topics such as small supernumerary marker chromosomes, chromosomal heteromorphisms, uniparental disomy, chromosomal breakpoints, and multicolor-FISH techniques. In the field of leukemia research, he contributes to identifying cryptic chromosomal aberrations associated with the disease. Additionally, the lab investigates chromosomal evolution through collaborations with other research groups studying diverse species such as fish (in Brazil), turtles (in Italy), and rodents (in Russia). In addition to employing multicolor fluorescence in situ hybridization techniques, he utilizes methods like immunohistochemistry, microsatellite analysis, array-CGH, and next-generation sequencing to further his research objectives

🌐 Professional Profiles

Educations📚📚📚

He holds various academic positions across different institutions and countries, showcasing his expertise and contributions to the field of medicine and biology. Since November 7, 2016, he has served as a Visiting Professor of Medicine at the University of Belgrade School of Medicine in Belgrade, RS. Furthermore, he has been awarded an honorary Doctorate in Biology (Dr. h.c.) from Yerevan State University in Armenia, a recognition he has held since June 25, 2014. Concurrently, he holds the position of Invited Professor of Biology at Yerevan State University since May 1, 2013, further emphasizing his international engagement in academia. In addition to his roles in teaching and research, he obtained European registered Clinical Laboratory Geneticists (ErCLG) certification in Human Genetics from Friedrich-Schiller-Universität Jena in Thüringen, Germany, a qualification he held from January 1, 2009, until April 1, 2015. Through these positions and qualifications, he contributes significantly to the advancement of knowledge and education in the fields of medicine and biology.

Work experiences

He has had a distinguished career trajectory marked by significant contributions to the field of human genetics. Beginning as a scientific coworker at the Institute of Human Genetics Erlangen under the guidance of Prof. Dr. E. Gebhart from 1991 to 1998, he embarked on a path of research and academic engagement. During his tenure, he was honored as a Fellow of the Herbert Quandt Stiftung der VARTA-AG from 1995 to 1997, further solidifying his commitment to advancing genetic knowledge. Since 1998, he has continued his research as a scientific coworker at the Institute of Human Genetics Jena, focusing on Molecular Cytogenetics. Notably, he has held the role of Coordinator of the Permanent Working Group Marker Chromosomes of the European Cytogenetic Association (ECA) since 2007, demonstrating his leadership in the field. Additionally, he served as Co-Editor of the journal Molecular Cytogenetics from 2007 to 2022, contributing to scholarly discourse and dissemination of research findings. Since September 2010, he has led the national quality control efforts for molecular cytogenetics as the head of the national quality control for molecular cytogenetics under the BVDH. His international engagements include serving as a member of the DAAD-review board in Brazil from 2010 to 2017 and chairing the scientist division of the European Board of Medical Genetics (ESHG) since 2012. Moreover, he has been an Invited Professor at Yerevan State University, Armenia, since May 2013, and was honored with a Doctorate h.c. and golden medal from the same institution in September 2014, recognizing his outstanding contributions to the field. He achieved European registered Clinical Laboratory Geneticist (ErCLG) certification in July 2015, further affirming his expertise and qualifications in the field of genetics. Additionally, he has served on the Advisory Board of the Armenian Association of Molecular and Cellular Biology and Immunology since 2012, further demonstrating his commitment to international collaboration and advancement in genetics research and education.

📝🔬Publications📝🔬

 

Zhang Yiwei- Network Science – Best Researcher Award

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Zhang Yiwei- Network Science

Dr. Zhang Yiwei  distinguished academic and researcher in the field Network Science. He is currently serving as an Assistant Professor in the Department of Mathematics at Southern University of Science and Technology. His primary research interests in pure mathematics revolve around the interplay of dynamical systems, ergodic theory, probability theory, and optimizations. His work delves into the statistical properties of dynamical systems, particularly those generated by iterations of maps exhibiting a certain level of hyperbolicity. Emphasizing probabilistic studies, he explores topics such as ergodic optimization and thermodynamics formalism problems associated with the invariant measures of these systems.

Beyond theoretical pursuits, he actively engages in the practical applications of his research, modeling dynamics in real-world systems such as data-driven dynamical systems in cell biology and neuroscience. With an impressive track record, he has authored 24 manuscripts in peer-reviewed journals, collaborated with distinguished mathematicians, and received prestigious awards, including the Chen Shengshen Prize of Mathematics from the Chinese Mathematical Society and the Marc Yor Prize from the French Academy of Sciences. Notably, in 2020, he and his collaborators successfully resolved a 20-year-long standing conjecture in ergodic optimization originally proposed by Professors G. Yuan and B. Hunt at the University of Maryland in 1999.

Professional Profiles:

Publication
• Jian Ding, Zhiqiang Li and Yiwei Zhang, On the prevalence of the periodicity of maximizing
measures, Accepted for publication in Advance in Mathematics, (2023).
• Xiaobo Hou, Xueting Tian, and Yiwei Zhang, Topological structures on saturated sets,
optimal orbits and equilibrium states, Discrete Contin. Dyn. Syst. Series A, (2023), no. 43,
771-806.
2 • Xiankun Ren, Wenda Zhang, Yiwei Zhang, Upper capacity entropy and packing entropy
of saturated sets for amenable group actions, Discrete Contin. Dyn. Syst. Series A, (2023)
no. 43, 2812-2834.
• Jianyu Chen, Hongkun Zhang, and Yiwei Zhang, On Coupling Lemma and Stochastic
Properties for One-dimensional Expanding Maps, J. Dyn Differ Equat. (2022).
• Stefano Galatalo, Mark Holland, Tomas Persson and Yiwei Zhang, Anomalous time-scaling
of extreme events in infinite systems and Birkhoff sums of infinite observables, Discrete
Contin. Dyn. Syst. Series A, 41(2021), no.4, 1799-1841.
• Lulu Fang, Hiroki Takahasi and Yiwei Zhang, Precise asymptotics on the Birkhoff sums
for dynamical systems, Nonlinearity, 34(2021), no. 10, 7095-7108.
• Charles Bordenave, Yanqi Qiu and Yiwei Zhang, Spectral gap of sparse bistochastic matrices with exchangeable rows, Annales de l’Institut Henri Poincar´e – Probabilit´es et
Statistiques, 56(2020), no. 4, 2971-2995;
• Qianying Xiao and Yiwei Zhang, On the computation of extended rescaled Poincar´e map
for singular vector fields, Dyn. Syst, 35(2020), no. 2, 259-274.
• Hongfei Cui, Lulu Fang, Yiwei Zhang, A note on the run length function for intermittent
maps, J. Math. Anal. Appl. 472(2019), no.1, 937-946.
• Jiaojiao Yang, Min Wu, and Yiwei Zhang, Quasi-Lipschitz mapping, correlation and local
dimensions, Chaos, Solitons & Fractals, 105(2017), 224-229.
• Junlin Li, Hongbo Fu, Ziying He and Yiwei Zhang, Strong approximation rate for Wiener
process by fast oscillating integrated Ornstein-Uhlenbeck processes, Chaos, Solitons & Fractals. 113(2018), 314-325.
• Byott Nigel P., Lin Congping and Yiwei Zhang. On the mixing properties of piecewise
expanding maps under composition with permutations II: Maps of non-constant orientation,
Stoch. Dyn. 16(2016), no. 3. 1660013
• Ana Rodrigues and Yiwei Zhang, Fair measure and fair entropy for non-Markov interval
maps, Stoch. Dyn. (2016), no. 16, 1750035.
• Bochi Jairo and Yiwei Zhang, Ergodic optimization of prevalent super-continuous functions, Int. Math. Res. Not. IMRN(2016), no. 19, 5988-6017.

Abdul Ahad- Network – Young Scientist Award

Published on by Network Science

Abdul Ahad- Network

Dr. Abdul Ahad  distinguished academic and researcher in the field Network. Throughout his academic and professional journey, he actively participated in various workshops to enhance his skills and contribute to the academic community. He attended a 1-Day Faculty/Quality Directions Training on “Outcome Based Education” organized by the Pakistan Engineering Council at UMT, Sialkot, Pakistan. Additionally, he engaged in a series of workshops at the same institution, including a hands-on training workshop on Outcome Based Education (OBE) facilitated by Dr. Abdul Ahad, as well as workshops on writing top-notch research papers, streamlining writing with Overleaf/LaTeX, and launching research journeys.

Dr. Abdul Ahad also conducted a workshop on “Unveiling the Causes of Delay in Attaining PhD and Master’s Degrees: Strategies and Solutions for Timely Completion” at Govt. Degree College, Kabal, Swat, Pakistan, addressing the concerns of students. Further expanding his reach, he conducted a workshop on “Empowering Your Academic Writing with Overleaf/LaTeX” at Taylor’s University of Malaysia. These experiences underscore his commitment to professional development and knowledge dissemination in the realms of education and research.

Education

He earned his Ph.D. in Computer Science from Sunway University, Malaysia, spanning the years 2018 to 2022. Prior to his doctoral studies, he completed a Master’s degree in Computer Science at the Virtual University of Pakistan from 2015 to 2017. Earlier in his academic journey, he obtained a Master of Science degree in Computer Science from Swat University of Pakistan between 2012 and 2014. Complementing his academic achievements, he also pursued professional development by earning a Bachelor’s of Education (Be.D.) from Allama Iqbal Open University, Islamabad, Pakistan, during the academic year 2013 to 2014. Additionally, he holds a Diploma in Information Technology (DIT) from the Board of Technical Education, Peshawar, Pakistan. This comprehensive educational background reflects his dedication to advancing his knowledge and expertise in the fields of Computer Science and Information Technology.

Professional Profiles:

Employment History

In his multifaceted employment history, he has showcased versatility and expertise in various roles. Currently serving as a Visiting Researcher at Istanbul Technical University, Turkey, he is actively engaged in cutting-edge projects. His focus includes energy-efficient routing in Heterogeneous 5G Wireless Sensor Networks using game theory and the development of a heart stroke detection system employing Fuzzy K-Nearest Neighbor and Artificial Neural Network with Chi-Square and Best First Search algorithms.

Prior to this, he served as a Data Processing Officer for the Government of Pakistan, Revenue Department, where he managed data, implemented information systems, ensured data security, and handled backup and recovery processes. Concurrently, he held the position of Visiting Lecturer and Research Assistant at The University of Buner, Pakistan, where he contributed to both teaching and research endeavors, overseeing undergraduate and graduate students. His prior experiences also encompassed roles as a Teaching Assistant at Sunway University, Malaysia, and as a Visiting Lecturer at Govt. PG. Jahanzeb College Swat, Pakistan.

Earlier in his career, he served as an O & A Level Teacher and Network Administrator at The City School Swat Campus, responsible for teaching, network design, and maintenance. He also worked as a Network Administrator at Maxtech Institute, Virtual University Campus Mingora, Swat, Pakistan, where he played a pivotal role in network design, implementation, and maintenance, emphasizing security protocols. This comprehensive narrative reflects his extensive and dynamic professional journey across academia, research, and technology-driven roles.

Member of Conferences
In his commitment to advancing research and fostering collaboration, he has actively participated in several prominent international conferences and academic networks. Serving as the Workshop Chair, Sessions Chair, and Reviewer for the IEEE Conference Turkey 2023: The 10th International Conference on Wireless Networks and Mobile Communications, he demonstrated his leadership and expertise in the field.
Additionally, he contributed to the EAI HealthyIoT Conference Portugal 2023 as a Technical Committee Member, Sessions Chair, and Reviewer, showcasing his involvement in IoT technologies for healthcare. Similarly, he played key roles in the EAI GOODTECHS Conference Portugal 2023, serving as a Technical Committee Member, Sessions Chair, and Reviewer, emphasizing smart objects and technologies for social good.
Further extending his influence, he assumed the responsibilities of Workshop Chair, Sessions Chair, and Reviewer at the IEEE Conference Saudi Arabia 2023: International Conference on Smart Computing and Application. In tandem with his conference engagements, he holds memberships in various European Cooperation in Science and Technology (COST) Actions, including CA22104 (Behavioral Next Generation in Wireless Networks for Cyber Security), CA20104 (Network on evidence-based physical activity in old age – PhysAgeNet), CA19121 (Network on Privacy-Aware Audio- and Video-Based Applications for Active and Assisted Living – GoodBrother), and CA19136 (International Interdisciplinary Network on Smart Healthy Age-friendly Environments – NET4AGE-FRIENDLY). Through his active involvement in these conferences and networks, he has significantly contributed to the advancement of knowledge and collaboration in his areas of expertise.
Areas of Interest
Research interests include 5G, 6G, Internet of Things, Smart Healthcare, Smart Cities, Wireless Networks, Wireless Body Area Networks (WBAN), Security and Privacy, Intelligent
Transportation and Artificial Intelligence.
Journal Reviewer
I regularly review many journals and conferences including Future Generation Computer
Systems, IEEE Access, IEEE Sensor, Computer Networks, Internet of Things (Elsevier), Connection Sciences, Peer J: Computer Sciences, International Journal of Distributed Sensor
Networks, Applied Sciences, MDPI Sensors, Array and others.
Research Publications
1 Ahad, A., Ali, Z., Mateen, A., Tahir, M., Hannan, A., Garcia, N. M., & Pires, I. M. (2023). A comprehensive
review on 5g-based smart healthcare network security: Taxonomy, issues, solutions and future research
directions. Array, 100290.
2 Butt, H. A., Ahad, A., Wasim, M., Shayea, I., Coelho, P. J., Pires, I. M., & Garcia, N. M. (2023). Federated
machine learning in 5g smart healthcare: A security perspective review. Procedia Computer Science, 224,
580–586.
3 Mateen, A., Wasim, M., Ahad, A., Ashfaq, T., Iqbal, M., & Ali, A. (2023). Smart energy management
system for minimizing electricity cost and peak to average ratio in residential areas with hybrid genetic
flower pollination algorithm. Alexandria Engineering Journal, 77, 593–611.
4 Mughees, A., Tahir, M., Sheikh, M. A., Amphawan, A., Meng, Y. K., Ahad, A., & Chamran, K. (2023).
Energy-efficient joint resource allocation in 5g hetnet using multi-agent parameterized deep
reinforcement learning. Physical Communication, 102206.
5 Noreen, R., Zafar, A., Waheed, T., Wasim, M., Ahad, A., Coelho, P. J., & Pires, I. M. (2023). Unraveling the
inner world of phd scholars with sentiment analysis for mental health prognosis. Behaviour &
Information Technology, 1–13.
6 Ahad, A., & Tahir, M. (2022). Perspective—6g and iot for intelligent healthcare: Challenges and future
research directions. ECS Sensors Plus.
8 Ahad, A., Tahir, M., Sheikh, M. A., Ahmed, K. I., & Mughees, A. (2021). An intelligent clustering-based
routing protocol (crp-gr) for 5g-based smart healthcare using game theory and reinforcement learning.
Applied Sciences, 11(21), 9993.
9 Istiaque Ahmed, K., Tahir, M., Hadi Habaebi, M., Lun Lau, S., & Ahad, A. (2021). Machine learning for
authentication and authorization in iot: Taxonomy, challenges and future research direction. Sensors,
21(15), 5122.
10 Mughees, A., Tahir, M., Sheikh, M. A., & Ahad, A. (2021b). Energy-efficient ultra-dense 5g networks:
Recent advances, taxonomy and future research directions. IEEE Access.
11 Ahad, A., Tahir, M., Aman Sheikh, M., Ahmed, K. I., Mughees, A., & Numani, A. (2020). Technologies
trend towards 5g network for smart health-care using iot: A review. Sensors, 20(14), 4047.
12 Mughees, A., Tahir, M., Sheikh, M. A., & Ahad, A. (2020). Towards energy efficient 5g networks using
machine learning: Taxonomy, research challenges, and future research directions. IEEE Access, 8,
187498–187522.
13 Tahir, M., Habaebi, M. H., Dabbagh, M., Mughees, A., Ahad, A., & Ahmed, K. I. (2020). A review on
application of blockchain in 5g and beyond networks: Taxonomy, field-trials, challenges and
opportunities. IEEE Access, 8, 115876–115904.
14 Ahad, A., Tahir, M., & Yau, K.-L. A. (2019). 5g-based smart healthcare network: Architecture, taxonomy,
challenges and future research directions. IEEE access, 7, 100747–100762.
15 Ahad, A., Al Faisal, S., Ali, F., Jan, B., Ullah, N. et al. (2017). Design and performance analysis of dss (dual
sink based scheme) protocol for wbasns. Advances in Remote Sensing, 6(04), 245.
16 Ahad, A., Tariq, L., Niaz, S., & Inam, M. (2017). Design of secure and traceable requirement engineering
process for security-sensitive projects. Journal of Software Engineering and Applications, 10(12), 873–883.
17 Ahad, A., Ullah, Z., Amin, B., & Ahmad, A. (2017). Comparison of energy efficient routing protocols in
wireless sensor network. Am. J. Netw. Commun, 6, 67–73.