Pankaj Kumar Dubey – Power System – Best Researcher Award

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Pankaj Kumar Dubey – Power System – Best Researcher Award

Mr. Pankaj Kumar Dubey distinguished academic and researcher in the field Power System , He appears to be highly suitable for the Best Researcher Award.

🌐 Professional Profile

Educations📚📚📚

He is an accomplished engineer currently pursuing a Ph.D. in Power System at KNIT, Sultanpur. He holds a Master of Technology (M.Tech) degree in Power Electronics from KNIT, Sultanpur, completed in 2022 with an impressive 95.6%. Prior to that, he earned his Bachelor of Technology (B.Tech) degree in Electrical and Electronics Engineering from B.B.S.C.E.T, Prayagraj, in 2019, achieving a notable 84.88%. His academic journey began at M.V. Convent Inter College, Prayagraj, where he completed his Intermediate in 2014 with 78% and High School in 2012 with an excellent score of 83.5%. His strong educational background reflects his dedication to the field of engineering and his commitment to continuous professional development.

Academic Experience and Achievements

He has a rich academic and professional background, marked by significant achievements and contributions. In 2023, he was honored with Asia’s Outstanding Researcher Award at the Asia International Research Awards Congress held on 1st October at Hotel Breeze Residency, Trichy, Tamil Nadu, India. He has also gained practical experience working as a Freelancer in Resume Search for a month in January 2021 and as an Electrical Engineer at EXPERT’S DS ELECTRICAL INDIA LLP in Delhi from 12th July 2019 to 30th August 2020. His academic excellence is evident as he secured the First Position in both his M.Tech at KNIT College and B.Tech at his engineering college. He also demonstrated his technical skills by winning the ROBORACE in CHAOTIC APPRAISAL 2K16 and being the runner-up in the Science Exhibition at SPANDA-2K15, both held at BBSCET, Prayagraj. Further, he contributed to the academic community by serving as a Reviewer for the 2023 3rd International Conference on Frontiers of Electrical Power & Energy Systems (EPES 2023). He was also invited as a Keynote Speaker at the 5th International Conference on Energy and Sustainability (ICES 2023), where he delivered a presentation titled “Newest Progress in Distributed Generations Coordination Control on Electric Vehicle Scheduling in Distribution Networks.”

 

Conference Paper

He has contributed significantly to the field of electrical engineering through his research and publications. In 2022, he co-authored a paper titled “Recent Optimization Techniques for Coordinated Control of Electric Vehicles in Super Smart Power Grids Network: A State of the Art,” presented at the IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) in Prayagraj, India. This work, published in the conference proceedings, highlights the latest optimization techniques for electric vehicle coordination in advanced power grid networks. Additionally, he co-authored a paper titled “A Review of Automation Technology,” presented at the International Conference on Innovations in IoT, Robotics & Automation (IIRA 3.0) and published in the International Journal of Engineering Sciences & Emerging Technologies. This paper, associated with the Moradabad Institute of Technology, delves into the evolving landscape of automation technology. Furthermore, in 2023, he collaborated on the development of a GA-RBF-based model for electric vehicle penetration projections, which was presented at the International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS) in Erode, India. This research, published in the conference proceedings, contributes to the understanding of electric vehicle adoption and its future trends.

Accepted or Under Publication

He has made substantial contributions to research, publishing numerous papers, conference presentations, book chapters, and securing patents. His research paper, “Assessment of Performance Degradation Due to Electromagnetic Interference in Network Application,” was published by BOHR Publishers. He has also presented conference papers at various prestigious events, including the International Conference on Innovations in Clean Energy Technologies at MANIT Bhopal, where he co-authored an analysis of recent trends in fuel cell technology. Additionally, he presented papers on the latest advancements in renewable energy at ICCSAI 2023, Galgotias University, and on energy storage technologies at PARC 2024, GLA Mathura, UP, India. His work on optimizing electric vehicle charging systems was showcased at ICCCI 2024, Sri Shakthi Institute of Engineering and Technology, Coimbatore.

Furthermore, he has contributed to several book chapters, including “Green IoT” in “Network Optimization in Intelligent IoT Applications – Principles and Challenges,” published by CRC Press, and a review on “Blockchain for Healthcare” in a book by Nova Science Publishers. Another notable chapter is “An Analysis of the Network for Charging Electric Vehicles,” featured in “Smart Cities and Sustainability: Transforming Urban Spaces for a Sustainable Future,” published by CRC, Taylor & Francis Group.

His innovative work is further evidenced by patents he has secured, including one on forecasting electric vehicle charging station preferences using a SHAP-based machine learning method and another on predicting power consumption of individual households using machine learning algorithms, both published in the Patent Office Journal in September 2023.

He also co-authored a textbook titled “Electrical Vehicle Engineering,” where he is listed as the fourth author, published by R.K. Publication. His extensive research, publications, and patents highlight his significant contributions to the fields of electrical engineering and renewable energy.

📝🔬Publications📝🔬

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)

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

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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.