Arturo Roman Messina – Technical networks – Best Researcher Award

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Arturo Roman Messina – Technical networks

Dr. Asturo Roman Messina distinguished academic and researcher in the field Technical Network , Arturo Roman-Messina currently works at the Centre for Research and Advanced Studies (Cinvestav) of the National Polytechnic Institute of Mexico. His current project is ‘Spatio-temporal Analysis of wide-area data’.

🌐 Professional Profiles

Educations: 📚🎓

He earned his Ph.D. in Electrical Engineering from Imperial College of Science Technology and Medicine at the University of London in 1991. Prior to that, he completed his M.Sc. in Ingeniería Eléctrica at the Instituto Politécnico Nacional in Mexico in 1987. His educational journey began with a B.E. in Ingeniero Mecánico Electricista from the Universidad Autónoma de Guadalajara in Guadalajara, Mexico, in 1984. With a diverse academic background spanning institutions in both the United Kingdom and Mexico, he has cultivated a rich foundation in electrical engineering and related fields.

 

Awards and Achievements: 🏆👏

He has garnered numerous accolades and recognitions throughout his distinguished career. In 2023, his paper titled “A Data-Driven Under Frequency Load Shedding Scheme in Power Systems,” co-authored by Hemin Golpira, Hassan Bevrani, Bruno Francois, and himself, was selected as one of the five outstanding papers by the IEEE Transactions on Power Systems. In 2018, he received the IEEE Power System Dynamic Performance (PSDP) Committee Prize Paper Award for the paper “A Dynamic Mode Decomposition Framework for Global Power System Oscillation Analysis,” authored by E. Barocio, B. C. Pal, N. F. Thornhill, and A. R. Messina. The year 2013 brought him the IEEE Power Engineering Society, Power System Dynamic Performance Committee, Technical Committee Working Group Recognition Award for his contributions to the “Identification of Electromechanical Modes.

” His significant contributions to the analysis of electric power systems led to his election as a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2012. Among other notable awards, he received the Knowledge Leadership Award in 2011 for his paper on modal analysis of inter-area oscillations in the Mexican interconnected system. Additionally, he was recognized in 2006 with the IEEE Power Engineering Society, Power System Dynamic Performance Committee, Technical Committee Working Group Recognition Award for his involvement in the “Task Force on Assessing the Need to Include Higher-Order Terms for Small-Signal (Modal) Analysis.” Notably, in 1987, he graduated with honors and academic distinction, earning a Master’s Degree in Electrical Engineering-Power Systems from the National Polytechnic Institute of Mexico.

Academic Experience

He has held a distinguished academic position as a Professor in the Graduate Studies Program in Electrical Engineering at Cinvestav del IPN since 1997. His commitment to advancing knowledge extends globally, as evidenced by his various visiting appointments at renowned institutions. In 2005-2006, he served as a Visiting Research Associate in the Department of Electrical and Computer Engineering at Arizona State University, Tempe, AZ, USA. Further expanding his academic reach, he was a Visiting Professor at Iowa State University, Ames, Iowa, USA, in 2003-2004, and at Imperial College of Science Technology and Medicine in London, UK, in 1998.

Prior to these international positions, from 1995 to 1997, he held the role of Visiting Professor in the Department of Electrical Engineering at the Universidad de Guadalajara in Guadalajara, Mexico. His academic journey began in 1986, and over the course of nearly a decade, until 1995, he served as a Professor in the Graduate Studies Program in Electrical Engineering at the National Polytechnic Institute in Mexico. Through these roles, he has made significant contributions to the field and has played a pivotal role in shaping the education and research landscape in electrical engineering.

Professional Activities

He has actively contributed to various facets of the electrical engineering community through his extensive involvement in professional committees and editorial roles. From 2023 to 2024, he served as a Member of the IEEE Fellow Committee, demonstrating his commitment to recognizing excellence in the field. In the previous year, from 2022 to 2023, he continued his involvement as a Member. His leadership skills were evident from 2016 to 2019 when he served as the Chairman of the Power System Stability Control Subcommittee within the Power Systems Dynamic Committee at IEEE. In 2013, he became a member of the Editorial Advisory Panel of the Journal Electric Power Systems Research, showcasing his dedication to advancing scholarly publications.

He assumed the role of Editor for the Electric Power Components & Systems Journal in 2013, further contributing to the dissemination of knowledge in the field. Additionally, from 2012 to 2018, he served as the Secretary of the Power System Stability Control Subcommittee within the Power Systems Dynamic Committee at IEEE. His editorial contributions extended to serving as an Associate Editor for the IEEE Transactions on Power Systems from 2011 to 2018. Since 2009, he has been a member of the Editorial Board for Electric Power Components and Systems and the International Journal on Power Systems Optimization. Furthermore, from 2009 to 2011, he contributed his expertise as a member of the Editorial Board for The Open Electrical & Electronic Engineering Journal. His multifaceted involvement highlights his dedication to advancing the field both in terms of academic publications and professional committee responsibilities.

Books and book chapters

1. Arturo Román Messina, Wide-area Monitoring of Interconnected Power Systems
(Segunda edición), IET The Institution of Engineering and Technology, IET Energy
Engineering 213, 2022
2. Hemin Golpira, A. Roman Messina, Renewable Integrated Power System Stability and
Control, IEEE-Wiley, 2021
3. Arturo R. Messina, Data Fusion and Data Mining for Power System Monitoring, CRC
Press, USA, 2020.
4. Arturo R. Messina (Editor), Power System Stability and Control. 17th Edition of the
Standard Handbook for Electrical Engineers, McGraw-Hill, Section 20, 2018, pp. 1239-
1327.
5. Arturo R. Messina, Rafael Castellanos, Claudia M. Castro, Emilio Barocio, Armando
Jiménez Zavala, “Large-Scale Wind Generation Development in the Mexican Power
Grid: Impact Studies, Handbook of Distributed Generation, Springer Verlag, March
2017, pp. 109-148.
3. A. R. Messina, Wide-Area Monitoring of Large Power Systems, IET, London, U.K.,
2015
4. A. R. Messina, R. Castellanos, R. Betancourt, “Advanced Wide-Area angle stability and
voltage control”, (ebook) 2011, Nova Science Publishers, Inc., NY, USA
5. Arturo Roman Messina (Editor), Interarea Oscillations in Power Systems: A
Nonlinear and Nonstationary Perspective, Power Electronics and Power Systems Series,
Springer Verlag, New York, March 2009.
6. T.J. Browne, V. Vittal, G.T. Heydt, and A.R. Messina, “Practical Application of Hilbert
Transform Techniques in Identifying Inter-area Oscillations,” in Inter-area Oscillations
in Power Systems – A Nonlinear and Nonstationary Perspective, pp. 101-126, Springer,
2009.

📚Top Noted Publication

Rong Yin – Graph Neural network – Best Researcher Award

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Rong Yin – Graph Neural network

Dr. Rong yin  distinguished academic and researcher in the field Graph Neural Network. She is a highly accomplished researcher with a focus on cutting-edge areas in artificial intelligence and machine learning. Over the past five years, she has made significant contributions, publishing over ten top conference and journal papers in esteemed venues such as NeurIPS, ICML, AAAI, IJCAI, IEEE TKDE, IEEE TNNL, PR, and IEEE TC. Recognized for her expertise, she has been invited to serve as a program committee member and reviewer for prestigious conferences and journals, including ICML, NeurIPS, ICLR, AAAI, and JMLR. One of her notable contributions includes proposing an efficient unsupervised learning algorithm based on the unified randomized sketches framework, paving the way for the application of machine learning in international important fields with massive data scenarios.

Additionally, she has designed a series of approximation algorithms for large-scale tasks such as regression, classification, ranking, and distributed learning. Her theoretical analyses have yielded optimal convergence rates for large-scale unsupervised learning, regression, and distributed learning, making significant strides in machine learning theory. As the principal or core backbone of more than 20 national or provincial key projects, including the Youth/General Fund of the National Natural Science Foundation of China and the National Key R&D Program, she has demonstrated leadership in advancing research in the field.

 

Professional Profiles:

Education

She earned her Ph.D. in Computer Science from the Institute of Information Engineering at the Chinese Academy of Sciences in July 2020, under the guidance of Prof. Dan Meng. Her research during this period has significantly contributed to the field, as evidenced by her subsequent achievements. Prior to her doctoral studies, she completed her M.S. in Computer Science at Harbin Institute of Technology in China in July 2016, with Prof. Xiaohong Su as her advisor. Her academic journey commenced with a B.S. in Thermal Energy and Power Engineering from Shenyang Aerospace University, China, in July 2014, under the mentorship of Prof. Rangshu Xu. Throughout her educational trajectory, she has demonstrated a commitment to academic excellence and has seamlessly transitioned from her undergraduate studies to achieving a Ph.D. in Computer Science, showcasing a continuous pursuit of knowledge and expertise in her chosen field.

Experience

She has been an integral part of the Institute of Information Engineering at the Chinese Academy of Sciences in China, serving as an Associate Researcher since December 2023. Her journey with the institute commenced in August 2020 when she was designated as an Associate Researcher to be Appointed, a position she transitioned into officially in December 2023 and continues to hold to the present. In her capacity as an Associate Researcher, she plays a crucial role in the ongoing research activities of the institute, contributing her expertise and insights to further the objectives of the organization. Her commitment to the field and the institute is evident in her sustained role, where she actively contributes to the research endeavors of the Institute of Information Engineering.

Academic achievements

  • Rong Yin, Yong Liu, Weiping Wang, Dan Meng. Scalable Kernel k-Means with Randomized Sketching: From Theory to Algorithm. In IEEE Transactions on Knowledge and Data Engineering, 2023, 35(9): 9210 – 9224. (TKDE 2023) (CCF-A, SCI-1, IF: 9.235). [PDF]
  • Rong Yin, Yong Liu, Weiping Wang, Dan Meng. Randomized Sketches for Clustering: Fast and Optimal Kernel k-Means. In Proceedings of Advances in Neural Information Processing Systems, 2022, 35: 6424-6436. (NeurIPS 2022) (CCF-A). [PDF]
  • Rong Yin, Yong Liu, Weiping Wang, Dan Meng. Distributed Nystrom Kernel Learning with Communications. In Proceedings of the 28th International Conference on Machine Learning, PMLR, 2021: 12019-12028. (ICML 2021) (CCF-A). [PDF]
  • Rong Yin, Yong Liu, Dan Meng. Distributed Randomized Sketching Kernel Learning. In Proceedings of the 36th AAAI Conference on Artificial Intelligence, 2022, 36(8): 8883-8891. (AAAI 2022) (CCF-A). [PDF]
  • Ruyue Liu, Rong Yin*, Yong Liu, Weiping Wang. ASWT-SGNN: Adaptive Spectral Wavelet Transform-based Self-Supervised Graph Neural Network. In Proceedings of the 38th AAAI Conference on Artificial Intelligence, 2024. (AAAI 2024) (CCF-A, Corresponding author).
  • Rong Yin, Yong Liu, Lijing Lu, Weiping Wang, Dan Meng. Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm. In Proceedings of the 34th AAAI Conference on Artificial Intelligence, 2020, 34(04): 6696-6703. (AAAI 2020) (CCF-A). [PDF]
  • Xueyan Wang, Jianlei Yang, Yinglin Zhao, Xiaotao Jia, Rong Yin, Xuhang Chen, Gang Qu, Weisheng Zhao. Triangle counting accelerations: From algorithm to in-memory computing architecture. IEEE Transactions on Computers, 2021, 71(10): 2462-2472. (TC 2021) (CCF-A, SCI-1, IF: 3.7). [PDF]
  • Rong Yin, Yong Liu, Weiping Wang, Dan Meng. Sketch Kernel Ridge Regression using Circulant Matrix: Algorithm and Theory. In IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(9): 3512-3524. (TNNLS 2020) (SCI-1, IF: 11.683). [PDF]
  • Ruyue Liu, Rong Yin*, Yong Liu, Weiping Wang. Unbiased and Augmentation-Free Self-Supervised Graph Representation Learning. In Pattern Recognition, 2024. (PR 2024) (SCI-1, IF: 8, Corresponding author). [PDF]
  • Rong Yin, Yong Liu, Weiping Wang, Dan Meng. Extremely sparse Johnson-Lindenstrauss transform: From theory to algorithm. In Proceedings of IEEE International Conference on Data Mining, 2020: 1376-1381. (ICDM 2020) (CCF-B). [PDF]
  • Lijing Lu, Rong Yin, Yong Liu, Weiping Wang. Hashing Based Prediction for Large-Scale Kernel Machine. In Proceedings of the International Conference on Computational Science, 2020: 496-509. (ICCS 2020). [PDF]
  • Jian Li, Yong Liu, Rong Yin, Weiping Wang. Multi-Class Learning using Unlabeled Samples: Theory and Algorithm. In Proceedings of the 28th International Joint Conference on Artificial Intelligence, 2019: 2880-2886. (IJCAI 2019) (CCF-A). [PDF]
  • Jian Li, Yong Liu, Rong Yin, Weiping Wang. Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis. In Proceedings of the 28th International Joint Conference on Artificial Intelligence, 2019: 2887-2893. (IJCAI 2019) (CCF-A). [PDF]

Publication

Peican Zhu -Natural language processing (NLP) – Best Researcher Award

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Peican Zhu -Natural language processing (NLP)

Dr.Peican zhu   distinguished academic and researcher in the field of Natural lanuage processing. Since May 2022, he has been serving as an Associate Professor at the School of Artificial Intelligence, Optics, and Electronics (iOPEN) within Northwestern Polytechnical University. Prior to this, from March 2016 to April 2022, he held the position of Associate Professor at the School of Computer Science, specifically contributing to the Center for Multidisciplinary Convergence Computing at the same university. Throughout his tenure, he has been actively engaged in academia, making significant contributions to the field of computer science and multidisciplinary convergence computing.

Education

He pursued his academic journey with a Ph.D. from the University of Alberta, Canada, spanning from September 2011 to August 2015 under the guidance of Dr. J. Han. Following this, he continued to expand his knowledge and expertise by obtaining a Master’s degree at Northwestern Polytechnical University, China, from September 2008 to April 2011, with Dr. X. Gao as his supervisor. His educational foundation was laid during his undergraduate studies at Northwestern Polytechnical University, China, where he earned his Bachelor’s degree from September 2007 to June 2008. Throughout his educational pursuits, he has demonstrated a commitment to academic excellence and a passion for advancing his understanding in the fields of computer science and related disciplines.

Professional Profiles:

Research Interest

Social computation and network science; Complex networks; Epidemic spreading and behavior vaccination; Reliability evaluation and criticality analysis Monte Carlo simulations and stochastic analysis; Evolutionary game theory; Data Science

Honors & Awards

He has garnered several prestigious honors and awards throughout his career, underscoring his dedication and contributions to various domains. In 2014, he received a Travel Award from the Canadian Institutes of Health Research (CIHR) to attend the Canadian Bioinformatics Workshops, followed by another CIHR Travel Award in 2013 for the 11th Asia Pacific Bioinformatics Conference (APBC). Notably, from May 2014 to May 2015, he was honored with the Alberta Innovates Graduate Student Scholarship, including the AITF (Alberta Innovates Technology Futures) Top-Up Award, recognizing his outstanding achievements during his graduate studies in Alberta, Canada.

Furthermore, his excellence in the field has been acknowledged with the Qian Weichang Prize in Chinese Information Processing Science and Technology, a prestigious award he received in November 2018. Adding to his list of accolades, in March 2021, he was bestowed with the Natural Science Award of Shaanxi Province, earning the coveted First Prize No. 3. These honors underscore his significant contributions and achievements in the realms of bioinformatics, technology, and information processing.

Academic Activities

He actively engages in various academic activities, particularly as a referee for numerous peer-reviewed journals, showcasing his commitment to contributing to the scholarly community. Notably, he has served as a referee for esteemed journals such as Reliability Engineering and System Safety, Microelectronic Reliability, Chaos Solitons & Fractals, Chaos, Annals of Operations Research, Scientific Reports, BMC System Biology, Biosystems, IEEE Biomedical Circuits and Systems, IEEE Transactions on Circuits and Systems II: Express Briefs, BioMed Research International, IEEE Access, IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE Transactions on Reliability, IEEE Transactions on Industrial Electronics, Mathematical Problems in Engineering, DATE, DFT, ECCV, KSEM, and more.

In addition to his role as a reviewer, he is an active member of prominent professional organizations, including the Institute of Electrical and Electronics Engineers (IEEE) and the Reliability Branch of the China Operational Research Society. His affiliations extend to memberships in the China Computer Federation (CCF), Chinese Society of Optimization, Overall Planning and Economic Mathematics, Chinese Association for Artificial Intelligence, Association for the Advancement of Artificial Intelligence, and the Chinese Association of Automation.

Moreover, he contributes to the academic community as an associate editor for journals such as Humanities & Social Sciences Communications and Heliyon. His editorial responsibilities also include serving as a guest editor for Frontiers in Physics, Complexity (Hindawi), Mathematics (mdpi), and Applied Sciences (mdpi). These diverse roles highlight his extensive involvement and leadership within the academic and research realms.

Grants

He has been actively involved in securing research grants, showcasing his leadership and expertise in various domains. As the principal investigator, he leads the Key Research and Development Program of Shaanxi Province (Grant No. 2022KW-26) from January 2022 to December 2023, focusing on the research of intelligent decision theory and its applications. Furthermore, he spearheads the National Key Research and Development Project of China (Grant No. 2020AAA0107704) from November 2021 to October 2023, dedicated to enhancing the robustness and automatic attack and defense mechanisms of AI systems.

In the realm of network populations, he serves as the principal investigator for the National Science Foundation of China (Grant No. 62073263) from January 2021 to December 2024, exploring the mechanisms of information dissemination. His earlier contributions include leading projects such as the Stochastic Analysis of Two-layered Multiplex Networks funded by the National Science Foundation for Young Scientists of China (Grant No. 61601371) from January 2017 to December 2019.

His research extends to the aerospace domain, as seen in projects like the Reliability Evaluation of Wireless Sensor Networks in Aerospace Crafts through Stochastic Analysis (Aerospace Science and Technology Fund, January 2017 – December 2017). Additionally, he delves into reliability evaluation and optimization of complex systems through the Natural Science Basic Research Plan in Shaanxi Province of China (Grant No. 2018JQ6075) from January 2018 to December 2019.

Participating as the principal investigator and project participant in various national and provincial research initiatives, he addresses diverse topics, including epidemic spreading in dynamical complex networks, game decision under incomplete information, multi-source spatio-temporal large data perception, fusion, and analysis in public security, multi-source heterogeneous large data fusion and analysis based on network public security, and key technologies of new infrastructure’s automatic network attack-defense countermeasure. These grant projects underscore his multifaceted contributions to advancing knowledge and innovation in his field.

Publication

  1. A stochastic computational approach for accurate and efficient reliability evaluation
    J Han, H Chen, J Liang, P Zhu, Z Yang, F Lombardi
    IEEE Transactions on Computers 63 (6), 1336-1350
  2. Investigation of epidemic spreading process on multiplex networks by incorporating fatal properties
    P Zhu, X Wang, S Li, Y Guo, Z Wang
    Applied Mathematics and Computation 359, 512-524- 2019
  3. Investigating the co-evolution of node reputation and edge-strategy in prisoner’s dilemma game
    P Zhu, X Wang, D Jia, Y Guo, S Li, C Chu
    Applied Mathematics and Computation 386, 125474 – 2020
  4. A stochastic approach for the analysis of dynamic fault trees with spare gates under probabilistic common cause failures
    P Zhu, J Han, L Liu, F Lombardi
    IEEE Transactions on Reliability 64 (3), 878-892 – 2015
  5. Properties and structural analyses of USA’s regional electricity market: a visibility graph network approach
    J Hu, C Xia, H Li, P Zhu, W Xiong
    Applied Mathematics and Computation 385, 125434 – 2020
  6. Lévy noise promotes cooperation in the prisoner’s dilemma game with reinforcement learning
    L Wang, D Jia, L Zhang, P Zhu, M Perc, L Shi, Z Wang
    Nonlinear Dynamics 108 (2), 1837-1845 – 2022
  7. Difference and cluster analysis on the carbon dioxide emissions in China during COVID-19 lockdown via a complex network model
    J Hu, J Chen, P Zhu, S Hao, M Wang, H Li, N Liu
    Frontiers in psychology 12, 795142 – 2022
  8. Investigating the effects of updating rules on cooperation by incorporating interactive diversity
    P Zhu, X Hou, Y Guo, J Xu, J Liu
    The European Physical Journal B 94, 1-8 – 2021
  9. Suppression of epidemic spreading process on multiplex networks via active immunization
    Z Li, P Zhu, D Zhao, Z Deng, Z Wang
    Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (7) – 2019
  10. Community detection in temporal networks via a spreading process
    P Zhu, X Dai, X Li, C Gao, M Jusup, Z Wang
    Europhysics Letters 126 (4), 48001 – 2019

 

Guangli Wu – Video Summarization – Best Researcher Award

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Guangli Wu – Video Summarization

prof Dr. Guangli Wu  distinguished academic and researcher in the field  Video summarization.  The existence of software vulnerabilities will cause serious network attacks and information leakage problems. Timely and accurate detection of vulnerabilities in software has become a research focus on the security field. Most existing work only considers instruction-level features, which to some extent overlooks certain syntax and semantic information in the assembly code segments, affecting the accuracy of the detection model. In this paper, we propose a binary code vulnerability detection model based on multi-level feature fusion. The model considers both word-level features and instruction-level features. In order to solve the problem that traditional text embedding methods cannot handle polysemy, this paper uses the Embeddings from Language Models (ELMo) model to obtain dynamic word vectors containing word semantics and other information. Considering the grammatical structure in the assembly code segment, the model randomly embeds the normalized assembly code segment to represent it. Then the model uses bidirectional Gated Recurrent Unit (GRU) to extract word-level sequence features and instruction-level sequence features respectively.

Eduvation

He pursued his academic journey with a solid foundation in computer science and technology, earning a Bachelor’s degree from Shandong Technology and Business University in 2003. Building upon this, he delved into the realm of Computer Application Technology, completing his Master’s degree at Northwest Minzu University in 2007. Driven by a passion for cultural diversity and linguistic exploration, he further expanded his expertise by attaining a doctoral degree in Chinese Minority Ethnic Languages and Literature from Northwest Minzu University in 2011. This educational trajectory reflects his commitment to a multidisciplinary approach, seamlessly blending computer technology with a profound understanding of language and culture.
Professional Profiles:

RESEARCH INTEREST

⚫ Video Summarization
⚫ Temporal Language Localization in videos
⚫ Botnet Detection
⚫ Binary Code Vulnerability Detection
⚫ Video Abnormal Event Detection
FUND PROJECTS
1. Natural Science Foundation of Gansu Province (17JR5RA161, 21JR7RA570)
2. Gansu University of Political Science and Law Major Scientific Research and Innovation Projects
(GZF2020XZDA03)
3. Young Doctoral Fund Project of Higher Education Institutions in Gansu Province (2022QB-123)
4. Gansu Province Higher Education Innovation Fund Project (2017A-068)
5. University-level Innovative Research Team of Gansu University of Political Science and Law
6. Longyuan Youth Innovation and Entrepreneurship Talent Project (2022QB-123)

MAIN SCIENTIFIC PUBLICATIONS

1. Guangli Wu,ShengTao Wang,Shipeng Xu. “Feature fusion over hyperbolic graph convolution networks for
video summarization.” IET Computer Vision,2023.
2. Guangli Wu,Tongjie Xu. “Video Moment Localization Network Based on Text Multi-semantic Clues
Guidance.” Advances in Electrical and Computer Engineering,2023,23(3):85-92.
3. Guangli Wu,Huili Tang. “Binary Code Vulnerability Detection Based on Multi-Level Feature Fusion.” IEEE
Access,2023,11: 63904-63915.
4. Guangli Wu,Shanshan Song,Leiting Li. “Video Summarization Generation Model Based on Transformer
and Deep Reinforcement Learning.” in 2023 8th International Conference on Computer and
Communication Systems (ICCCS). IEEE, 2023: 916-921.
5. Guangli Wu,Shengtao Wang,Liping Liu. “Fast Video Summary Generation Based On Low Rank Tensor
Decomposition.” IEEE Access,2021,9:127917-127926.
6. Guangli Wu,Zhenzhou Guo,Mianzhao Wang,Leiting Li and Chengxiang Wang. “Video Abnormal Event
Detection Based on CNN and Multiple Instance Learning.” in twelfth international conference on signal
processing systems. SPIE,2021:134-139.
7. Guangli Wu,Zhenzhou Guo,Leiting Li and Chengxiang Wang. “Video Abnormal Event Detection Based on
CNN and LSTM.” in 2020 IEEE 5th International Conference on Signal and Image Processing (ICSIP).
IEEE,2020: 334-338.
8. Guangli WU,Leiting LI,Zhenzhou GUO,Chengxiang WANG and Yanpeng, YAO. “Video summarization
Based on ListNet Scoring Mechanism.” in 2020 5th International Conference on Computer and
Communication Systems (ICCCS). IEEE,2020: 281-285.
9. Guangli WU,Liping LIU,Chen Zhang and Dengtai TAN. “Video Abnormal Event Detection Based on ELM.”
in 2019 IEEE 4th International Conference on Signal and Image Processing (ICSIP).IEEE,2019: 367-371

 

Maria llop – Large Scale datasets -Best Researcher Award

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Maria llop – Large Scale datasets

Prof. Maria llop a distinguished academic and researcher in the field of Large Scale datasets. As of June 2018, she holds the esteemed position of Full Professor of Economic Theory in the Departament d’Economia at Universitat Rovira i Virgili. In recognition of her leadership capabilities and academic expertise, she assumed the role of Head of the Departament d’Economia at the university in July 2022. This dual responsibility underscores her commitment to both advancing economic theory through her professorial role and contributing to the effective administration of the department as its head. Her tenure in these key roles reflects a dedication to excellence in both academic scholarship and institutional leadership at Universitat Rovira i Virgili.

Eduvation

She obtained her degree in Economics from Universitat de Barcelona in 1993, and during her academic journey, she actively participated in the EUS Educational Program (“Empresa-Universitat-Societat”), gaining valuable work experience in the regional government. Subsequently, she pursued her passion for research and earned her Ph.D. in Economics from Universitat Rovira i Virgili in 2001. Her doctoral dissertation, titled “Un Análisis de Equilibrio General de la Economía Catalana,” was conducted under the guidance of Supervisor Antonio Manresa from Universitat de Barcelona, and it received the prestigious qualification of Cum Laude. Her outstanding academic achievements were further recognized with the Extraordinary Ph.D. Dissertation Award, underscoring the excellence and significant contribution of her research within the field of Economics.

Professional Profiles:

TEACHING POSITIONS:
She has held a progression of esteemed teaching positions, culminating in her current role as Full Professor at Universitat Rovira i Virgili since 2018. Her academic journey began as a Part-time Assistant Professor at the same university from 1993 to 1995, showcasing her early commitment to education. Building on this foundation, she assumed the role of Assistant Professor at Universitat Rovira i Virgili from 1995 to 2008, contributing significantly to the academic community.
Following this, she embraced a new challenge as an Assistant Professor at Universitat Oberta de Catalunya, starting in 2005, where she has continued to make a positive impact on students’ education. Her dedication and expertise were further recognized with an appointment as an Associate Professor at Universitat Rovira i Virgili, a position she held from 2008 to 2018, before attaining the pinnacle of her academic career as a Full Professor.
FELLOWSHIPS AND AWARDS: 🎓✨

Throughout her distinguished career, she has garnered numerous accolades and certifications, solidifying her position as a trailblazer in the field of Economics. Her commitment to excellence is underscored by the prestigious Certificate of Full Professor in Economics awarded by AQU in 2016, preceded by a similar recognition from ANECA in 2012. Demonstrating a consistent dedication to her academic journey, she earned the Certificate of Associate Professor in Economics from ANECA in 2008. Her prowess in research has been consistently acknowledged with four positive evaluations of research periods spanning from 1999 to 2022 by CNEAI.

Among her noteworthy achievements is the receipt of the Extraordinary Ph.D. Dissertation Award from Universitat Rovira i Virgili in 2001, highlighting the exceptional quality of her doctoral research. Her academic pursuits were also complemented by the recognition as a Scholar of the EUS Educational Program (“Empresa-Universitat-Societat”) at Universitat de Barcelona during 1992-1993. During this period, she gained valuable work experience in the Generalitat de Catalunya’s Gabinet Tècnic within the Departament d’Agricultura, Ramaderia i Pesca. 🏆📚

Books

El grup SAGESSA: Activitat i impacte econòmic. Grup SAGESSA, 2010 (with M. Carles, B. López, M. J. Pérez and J. Sardà) (in Catalan).  Propuesta metodológica para evaluar el impacto económico del desmantelamiento de la Central Nuclear de Zorita (Guadalajara). Informe final, Documentos Internos de Enresa, 01/2007 (with J. Sardà) (in Spanish).
Impacto económico del desmantelamiento de la central nuclear Vandellòs I, Publicaciones Técnicas 08/2005, Enresa, 2005 (in Spanish)

Selected Book Chapters

  • “Environmentally extended input-output analysis for sustainable regional development,” in S. Massari, G. Sonnemann, and F. Balkau (editors): Life cycle approaches to regional development, Routledge, 2017, 53-59 (with E. D. Gemechu, I. Butnar, F. Castells, and G. Sonnemann).
  • “GHG emissions minimization at the macroeconomic level via a multi-objective optimization/Input-Output approach: A case study of the EU-25 economy,” in J. J. Klemes, P. S. Varbanov, and P. Y. Liew (editors): Computer Aided Chemical Engineering, Elsevier, 2014, 33, 1069-1074 (with D. Cortés-Borda, A. Ruiz-Hernández, G. Guillén-Gosálbez, R. Guimerà, and M. Sales-Pardo).
  • “Anàlisi sectorial: L’energia” in Generalitat de Catalunya: Informe annual sobre la indústria a Catalunya 2010, Departament d’Innovació, Universitats i Empresa, 2011, 261-270 (in Catalan).

Public Research Projects:

  • “Economic Challenges for the Next Generation (ECO-NEXT)”, Catalan
    Government (2021SGR-00729), 2023-2025 (main researcher).
  • “Percepción social y transición ecológica bajo un análisis socio-económico
    multidimensional de las regiones españolas”, Spanish Ministry of Science
    and Innovation (TED2021-130835B-I00), 2022-2024 (main researcher).
  • “La transició energética a Tarragona: Aspectes socials i acceptació
    ciutadana”, Diputació de Tarragona, 2021.
  • “Quantitative, Urban and Regional Economics (QURE)”, Catalan
    Government (2017SGR-159), 2018-2020 (main researcher)
  • “Economía, medio ambiente y políticas correctoras: Un enfoque
    multidisciplinar de equilibrio general”, Spanish Ministry of Economy and
    Competitiveness (ECO2016-75204-P), 2017-2019 (main researcher)
  • “Quantitative, Urban and Regional Economics (QURE)”, Catalan
    Government (2014SGR-299), 2014-2017.
  • “Las políticas ambientales europeas en España: Una evaluación a través
    de un análisis económico-tecnológico multidisciplinar”, Spanish Ministry of
    Economy and Competitiveness (ECO2013-41917-P), 2014-2016 (main
    researcher)

Publications

 

Harshavardhan Awari – Machine Learning-Healthcare

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Dr.  Harshavardhan Awari – Leading Researcher in Machine Learning-Healthcare

Dr.  Harshavardhan Awari a distinguished academic and researcher in the field of Machine Learning-Healthcare. His academic prowess traces back to his S.S.C., where he attained an impressive 82% in 1997. The culmination of his educational journey is marked by his Ph.D. research work, titled “A New Framework for Brain Tumor Detection and Classification in MRI Images.”

Eduvation

He earned his Ph.D. in Computer Science and Engineering from J.N.T. University Hyderabad on February 3, 2021. Prior to that, he completed his M.Tech in Computer Science from J.N.T. University, Hyderabad, in 2008, achieving a commendable 72%. His academic journey also includes a B.Tech in Computer Science from Ramappa Engineering College, where he graduated with a 62% from J.N.T. University in 2004. Additionally, he holds a Diploma in Computer Science from S.E.S.S.N. Murthy College, securing 74.86% from S.B.T.E.T. in 2000.

Professional Profiles:

RESEARCH ACTIVITIES

He has built a distinguished career in academia. From 2004 to 2006, he served as an Assistant Professor in the Computer Science Department at Dr. V. R. K. College of Engineering & Technology, Jagtial, gaining valuable teaching experience. Subsequently, he spent six years, from 2006 to 2012, as an Associate Professor in the Computer Science department at Vaageswari College of Engineering, Karimnagar. Further enriching his academic portfolio, he dedicated nine years, spanning from 2012 to 2021, to the position of Assistant Professor in the Computer Science Department at SR University, Warangal. During his tenure, SR University achieved noteworthy accreditations, including NAAC ‘A’ Grade, NBA Tier-1, NIRF (2020) ranking 120th, and ARIIA-2020 1st rank. Since 2021, he has been contributing his expertise as a Senior Assistant Professor at VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad. Notably, the institution holds an NAAC ‘A++’ Grade, NBA accreditation for five years, and a NIRF (2020) ranking between 6 to 25. Throughout his career, he has consistently demonstrated dedication to education and academic excellence.

Achievements:

  1. Primary Evaluator for the Hackthon organized by the Ministry of Education’s Innovation Cell and AICTE,2021.
  2. Editorial Member for the Blue Eyes Intelligence Engineering and Sciences Publication
  3. Editorial Member for the Lattice Science Publication
  4. Reviewer for the Imaging Science Journal
  5. Reviewer for the ICCINS-2022
  6. Reviewer for the The 4th International Conference on Machine Learning and Intelligent Systems
  7. Session Chair for the ICACECS2021 International Conference on Advances in Computer Engineering and Communication Systems(13.08.2021)
  8. Technical Committee member for the ICACECS2021 International Conference on Advances in Computer Engineering and Communication Systems
  9. Reviewer for the ICACECS2021 International Conference on Advances in Computer Engineering and Communication Systems
Awards:

He has garnered notable recognition and accolades throughout his career. In the academic year 2014-2015, he was honored as the Best eLearning Solutions and Two-Way HD Delivery Mechanism (ELSDM) Coordinator at SR Engineering College. His prowess in conceptual design was evident as he clinched the First Prize for Best Overall Conceptual Design in the “IUCEE EPICS Design Thinking Course” spanning from August 2017 to January 2018. Acknowledging his instrumental role, SWAYAM NPTEL presented him with a Certification of Appreciation for serving as the Single Point of Contact (SPOC) for the SWAYAM NPTEL Local Chapter.

His expertise extends to the academic and research realms, where he serves as a reviewer for esteemed journals including Inderscience, Springer Nature Scientific Reports (SNAPP), Applied Artificial Intelligence, Indian Journal of Image Processing and Recognition, and Blue Eyes Intelligence Engineering and Sciences Publication. He also actively contributes as a reviewer and session chair for various conferences, such as ICCINS-2022, ICACECS2021, ICACECS2022, ICCET – 2021, FICTA 2022, ICEAT-2021, and ICEAT-2022.

Further highlighting his commitment to academia, he served as a Program Committee (PC) member for the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022) organized by the National Institute of Technology Mizoram. He shared his insights and expertise as a resource person for the “Industry Institute Integrated Technology Transfer (I3T2)” at KGiSL Institute of Technology, Coimbatore, from March 14-19, 2022.

In recognition of his scholarly contributions, he has been appointed as a member of the Editorial Board for journals by Lattice Science Publication (LSP) and Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) for the years 2021-22 and 2022-2023. Adding to his list of achievements, he received the Best Faculty Award from the International Conference on Engineering and Advancement in Technology (ICEAT) in association with Malla Reddy Institute of Engineering and Technology, Hyderabad, on July 8, 2022.

Publication

An automated learning model for sentiment analysis and data classification of Twitter data using balanced CA-SVM

CPD Cyril, JR Beulah, N Subramani, P Mohan, A Harshavardhan, …
Concurrent Engineering 29 (4), 386-395 _ 2021

Text categorization Performance examination Using Machine Learning Algorithms

BP Yadav, S Ghate, A Harshavardhan, G Jhansi, KS Kumar, E Sudarshan
IOP Conference Series: Materials Science and Engineering 981 (2), 022044 – 2020

IoT Based Smart Solar Atmospheric Water Harvesting System

E Sudarshan, SN Korra, KMP Rajasekharaiah, S Venkatesulu, …
IOP Conference Series: Materials Science and Engineering 981 (4), 042004 – 2020

Cardiovascular disease prediction using deep learning techniques

SN Pasha, D Ramesh, S Mohmmad, A Harshavardhan
IOP conference series: materials science and engineering 981 (2), 022006 – 2020

Cardiovascular disease prediction using deep learning techniques

SN Pasha, D Ramesh, S Mohmmad, A Harshavardhan
IOP conference series: materials science and engineering 981 (2), 022006 – 2020

 

 

 

Sankar Shanmuganathan – Generative adversarial networks

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Dr. Sankar Shanmuganathan – Leading Researcher in Generative adversarial networks

Dr.  Sankar Shanmuganathan  a distinguished academic and researcher in the field of Generative adversarial networks. He is currently serving as a Professor in the Department of Computer Science and Engineering at Saveetha School of Engineering, SIMATS, Chennai, Tamil Nadu, India. A dedicated, resourceful, and goal-driven professional educator, he is passionate about programming and has a solid commitment to academic growth. With over 20 years of experience, he is a seasoned researcher and has taught courses for both undergraduate and postgraduate students. He has successfully supervised 20 Bachelor’s theses and 10 Master’s theses, demonstrating his mentorship skills. His contributions extend to publishing articles in peer-reviewed journals and conferences, obtaining three patents, and securing grants from AICTE for organizing technical events.🌟💻🔬

Eduvation

He completed his Ph.D. in Information Technology from Hindustan University in 2018. 🎓 Prior to that, he earned a Master’s degree in Software Engineering from Periyar Maniammai College of Technology, affiliated with Anna University, Chennai, Tamil Nadu, in 2006, achieving a first-class distinction. 🏆 His academic journey began with a Bachelor’s degree in Computer Engineering from Arulmigu Kalasalingam College of Engineering, Srivilliputhur, Tamil Nadu, in 1992, where he also excelled with a first-class distinction. 🏅 This degree was affiliated with Madurai Kamaraj University, Madurai, Tamil Nadu. 🌟

Professional Profiles:

RESEARCH ACTIVITIES

🗣️He has obtained three patents from IP Australia, showcasing his innovative contributions. The first patent, dated October 27, 2021 (Patent No: 2021102955), is titled “A System and Method for Agile Meeting Dashboard.” The second patent, dated May 5, 2021 (Patent No: 2021101703), pertains to “3D Printing of Cost-Effective Human Skull Models and Skull Implants.” The third patent, dated April 7, 2021 (Patent No: 2021100286), is for “Aqua Life: A Compact Device Extracting Drinkable Water from Sea Water.”

In addition to his research achievements, he has undertaken various consultancy projects. Notably, he developed a software product for MEL Systems and Services Ltd, Chennai, involving the creation of advanced reports using Python, Django, and MongoDB. Another significant project involved the development of a software product to detect glaucoma in optical coherence tomography images for M/s Appasamy Associates R & D, Chennai, implemented in Java and Matlab.

Furthermore, he contributed to software bug fixing for General Electricals T & D Limited, Chennai, utilizing VB.NET technology. Additionally, he conducted corporate training for General Electricals T & D Limited, Chennai, imparting VB.NET platform skills to GE employees, preparing them to independently develop utility software. The funds received for training amounted to Rs. 2,00,000. Overall, his diverse expertise and accomplishments reflect his commitment to both innovation and practical application in the field.

BOOKS AUTHORED / CHAPTER CONTRIBUTED

AUTHORED BOOK on OBJECT ORIENTED PROGRAMMING Published by Laxmi PublicationsChennai,
2009
CHAPTER CONTRIBUTED LEAN SIX SIGMA: SIX SIGMA PROJECTS AND PERSONAL EXPERIENCEPublished by In-Tech Open Access Publications, Crotia, 2012

RESEARCH PAPERS PUBLISHED

  • Deep generative adversarial networks with marine predators algorithm for classification of Alzheimer’s disease using electroencephalogram
    • Authors: J.C. Sekhar, Ch Rajyalakshmi, S. Nagaraj, S. Sankar, Rajesh Saturi, A. Harshavardhan
    • Published in: Journal of King Saud University – Computer and Information Sciences
    • Volume 35, Issue 10, December 2023
    • DOI: 10.1016/j.jksuci.2023.101848
  • Exploration of Performance of Dynamic Branch Predictors used in Mitigating Cost of Branching
    • Authors: Akash Ambashankar, Ganesh Chandrasekar, AR Charan, S Sankar
    • Published in: 2022 IEEE Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)
  • AI Enabled Educational Bot to Improve Learning Outcomes using Bag of Words Algorithm
  • Intelligent Organ Transplantation System Using Rank Search Algorithm to Serve Needy Recipients
    • Authors: S Sankar, U Shuruti, B Bhuvaneshwari
    • Published in: 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
  • Understanding Query Intention in Search Queries of Learners in Blended Learning Environments
    • Authors: Vivekananthamoorthy Natarajan, Sankar Shanmuganathan
    • Published in: 2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)
  • Sign language translator using YOLO algorithm
    • Authors: Bhavadharshini, M., Josephine Racheal, J., Kamali, M., Sankar, S.
    • Published in: Advances in Parallel Computing, 2021, 39, pp. 159-166
  • Detection of Anomalous Behaviour in Online Exam towards Automated Proctoring
    • Authors: Susithra V, Resham A, Bishruti Gope, Sankar
    • Published in: IEEE International Conference on System, Computation, Automation and Networking
    • DOI: 10.1109/ICSCAN53069.2021.9526448
  • Development of Novel Technique to Detect and Validate Pulmo Malignancy during Early Stages
    • Authors: Dhanalakshmi R, Shree Harini R, Pravallika M, S Sankar
    • Published in: International Journal of Current Research and Review, volume: 13 issue: 17, pp. 56-60, 12th September 2021
    • DOI: http://dx.doi.org/10.31782/IJCRR.2021.131711
  • Sentiment Analysis of Twitter Political Data using GRU Neural Network
    • Authors: Seenaiah Pedipina, Sankar S and R Dhanalakshmi
    • Published in: International Journal of Advanced Science and Technology 29(6), pp. 5307-5320, ISSN 2207-6360, SERSC Australia
  • Sentimental Analysis On Twitter Data Of Political Domain
    • Authors: Seenaiah Pedipina, Sankar S and R Dhanalakshmi
    • Published in: Dogo Rangsang Research Journal, UGC Care Group I Journal, Vol-10 Issue-07 No. 16 July 2020, ISSN:2347-7180
  • An Improved Framework for Sentiment Analysis for College Reviews
    • Authors: T. Sri Devi, R. Dhanalakshmi, S. Sankar
    • Published in: International Journal of Advanced Trends in Computer Science and Engineering, 9(2), 1959-1963