Ramesh G | Computer Science and Engineering | Excellence in Research |

Posted on 10/08/202414/08/2024 by ScienceFather

Dr. Ramesh G |Computer Science and Engineering | Excellence in Research

Professor at Vaagdevi Engineering College, India

Dr. Ramesh G. is an accomplished academic and researcher with over 20 years of experience in the field of Computer Science and Engineering. He holds a Ph.D. from Osmania University and has a rich educational background, including a Master of Technology in Computer Science and Engineering and a Master of Science in Information Systems. Dr. Ramesh has served as an Associate Professor at Vaagdevi Engineering College and has previously held positions at Mekelle University in Ethiopia, where he contributed significantly to curriculum development for graduate programs in Cyber Security and Bioinformatics. His research interests encompass phishing webpage detection, 5G communication networks, and digital noise reduction in video processing, with several of his works published in reputable journals. He is also an active editor and reviewer for various academic journals and has published multiple utility patents. Dr. Ramesh’s contributions to academia are further highlighted by his successful acquisition of research grants and his authorship of books on IoT and machine learning.

Profile

Education

Dr. Ramesh has a Ph.D. in Computer Science and Engineering, which shows a deep level of expertise in his field. He also holds two master’s degrees, one in Computer Science and Engineering and the other in Information Systems, further solidifying his strong foundation in technology and engineering

Professional Experience

With over 20 years of teaching experience at undergraduate and postgraduate levels, and extensive experience in editorial and review roles, Dr. Ramesh has a comprehensive understanding of both academia and research.

Research Interests

Dr. Ramesh has substantial experience as an editor and reviewer for various international journals, which underscores his influence and reputation in the academic community.He has published multiple utility patents related to IoT, machine learning, and cyber security, which reflect his innovation and contribution to applied research. Additionally, securing grants from prestigious bodies like AICTE, DST, and SERB indicates his ability to attract funding for impactful research projects.

Awards and Recognition

The successful acquisition of funded grants from renowned agencies showcases his research excellence and recognition by peers and funding bodies.

Global Collaborations and Innovations

Dr. Ramesh has published several utility patents and secured multiple grants from prestigious organizations like AICTE, DST, and SERB. This indicates his ability to contribute to innovative research and secure funding for significant projects.His work as an Assistant Professor at Mekelle University in Ethiopia, including his leadership roles in curriculum development, highlights his international experience and ability to work in diverse environments.

Conclusion

Given his comprehensive education, extensive teaching and research experience, numerous patents, and significant contributions to academic journals and funded research, Dr. Ramesh G is well-qualified for recognition through a Research for Excellence award. His work in fields such as IoT, machine learning, and cyber security aligns with current technological advancements, further solidifying his candidacy.

Publications Top Notes

Title: An efficacious method for detecting phishing webpages through target domain identification
Authors: G. Ramesh, I. Krishnamurthi, K.S.S. Kumar
Journal: Decision Support Systems
Citations: 156
Year of Publication: 2014

Title: Eliminate the interference in 5G ultra-wideband communication antennas in cloud computing networks
Authors: G. Ramesh, J. Logeshwaran, V. Aravindarajan, F. Thachil
Journal: ICTACT Journal on Microelectronics
Citations: 134
Year of Publication: 2022

Title: The management and reduction of digital noise in video image processing by using transmission-based noise elimination scheme
Authors: G. Ramesh, J. Logeshwaran, J. Gowri, A. Mathew
Journal: ICTACT Journal on Image & Video Processing
Citations: 120
Year of Publication: 2022

Title: A ranking model framework for multiple vertical search domains
Authors: S.B. Sriramoju, R. Gadde
Journal: International Journal of Research and Applications
Citations: 36
Year of Publication: 2014

Title: An overview of classification rule and association rule mining
Authors: S.B.S. B. Srinivas, Gadde Ramesh
Journal: International Journal of Scientific Research in Computer Science
Citations: 19
Year of Publication: 2018

Xiaona Song | Regulating Technology | Best Researcher Award

Posted on 07/03/2024 by ScienceFather

Prof Dr. Xiaona Song | Regulating Technology | Best Researcher Award

Professor at Regulating Technology, Henan University of Science and Technology, China

Prof. Dr. Xiaona Song is a prominent researcher in control theory and dynamic systems. With a PhD from Nanjing University of Science and Technology, they have held positions at Henan University of Science and Technology in China. Their work focuses on network-based estimation, synchronization of dynamic networks, and adaptive control of nonlinear systems. Prof. Dr. Song has published extensively, holds software copyrights and patents, and serves as an associate editor and reviewer for several journals. Their contributions have had a significant impact on the field.

Professional Profiles:

Education:

Prof. Dr. Xiaona Song’s education includes a PhD from Nanjing University of Science and Technology, Nanjing, China (2006-2011), and visiting scholar positions at Utah State University, Utah, USA (2009), Southern Illinois University, Carbondale, USA (2016-2017), and Yeungnam University, Daegu, South Korea (2019).

Experience:

Prof. Dr. Xiaona Song has a rich and diverse background in academia and research, spanning over a decade. They began their career as a Lecturer at Henan University of Science and Technology in Luoyang, China, where they taught from June 2011 to October 2013. During this time, they contributed to the university’s academic and research activities, gaining valuable experience in teaching and mentoring students. In October 2013, Prof. Dr. Song was promoted to the position of Associate Professor, where they continued to excel in their research and teaching roles. Their work focused on stability analysis and control for fractional-order systems and fuzzy systems, as well as control and synchronization of fractional-order chaotic systems. Prof. Dr. Song’s dedication to their field was further demonstrated through their involvement in several research projects supported by the National Natural Science Foundation of China. In December 2019, Prof. Dr. Song was appointed as a Professor at Henan University of Science and Technology, a position they currently hold. Throughout their career, Prof. Dr. Song has been recognized for their contributions to the field, including their role as an Associate Editor for several journals and their work as a reviewer for numerous publications. Their commitment to research and education continues to make a significant impact in their field and beyond.

Awards & Honors:

Prof. Dr. Xiaona Song has been honored with several awards in recognition of their outstanding contributions to academia and research. They have received the Outstanding Young Scientist Award from Henan Province, China, acknowledging their significant achievements and potential in the field. Additionally, Prof. Dr. Song has been awarded the Excellence in Research Award from Henan University of Science and Technology, Luoyang, China, highlighting their excellence in research activities and academic endeavors. Their work has also been recognized with a Best Paper Award from the International Conference on Control Systems and Robotics, underscoring the impact of their research in the scientific community. These awards serve as a testament to Prof. Dr. Song’s dedication, innovation, and excellence in their field.

Research Interest:

Prof. Dr. Xiaona Song’s research interests encompass several areas of applied mathematics and engineering. They are particularly focused on stability analysis and control for fractional-order systems and fuzzy systems. Additionally, their research includes control and synchronization of fractional-order chaotic systems, which has applications in various fields such as secure communication and data encryption. Another area of interest for Prof. Dr. Song is image processing, where they explore techniques to enhance the quality and accuracy of images. Their work in these areas contributes to the advancement of knowledge and technologies that benefit society.

Achievements:

Prof. Dr. Xiaona Song has achieved significant milestones in their academic and research career, demonstrating a commitment to excellence and innovation. One of their notable achievements includes the development of High-Precision Panoramic Stitching Software, which enables the seamless stitching of panoramic images with high precision, enhancing the quality of panoramic views. Additionally, Prof. Dr. Song has obtained patents for several innovative products, such as adjustable size trash cans, height-adjustable multi-purpose crutches, and hangable folding lift desks, showcasing their creativity and contribution to product development. Furthermore, Prof. Dr. Song has demonstrated strong research leadership by leading multiple research projects supported by the National Natural Science Foundation of China, showcasing their ability to secure funding and lead successful research initiatives. They have also authored several books and papers on stability analysis and control for fractional-order systems and fuzzy systems, as well as control and synchronization of fractional-order chaotic systems, contributing significantly to the advancement of knowledge in these areas.

Publications:

A new image encryption algorithm based on the fractional-order hyperchaotic Lorenz system
- Z Wang, X Huang, YX Li, XN Song
- Chinese Physics B 22 (1), 010504
- 126 citations
- 2013
Network-based passive estimation for switched complex dynamical networks under persistent dwell-time with limited signals
- Y Wang, X Hu, K Shi, X Song, H Shen
- Journal of the Franklin Institute 357 (15), 10921-10936
- 99 citations
- 2020
Extended dissipative synchronization for semi-Markov jump complex dynamic networks via memory sampled-data control scheme
- YA Liu, J Xia, B Meng, X Song, H Shen
- Journal of the Franklin Institute 357 (15), 10900-10920
- 98 citations
- 2020
Event-driven NN adaptive fixed-time control for nonlinear systems with guaranteed performance
- X Song, P Sun, S Song, V Stojanovic
- Journal of the Franklin Institute 359 (9), 4138-4159
- 90 citations
- 2022
Neuro-fuzzy-based adaptive dynamic surface control for fractional-order nonlinear strict-feedback systems with input constraint
- S Song, B Zhang, X Song, Z Zhang
- IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (6), 3575-3586
- 89 citations
- 2019
Adaptive command filtered neuro-fuzzy control design for fractional-order nonlinear systems with unknown control directions and input quantization
- S Song, JH Park, B Zhang, X Song, Z Zhang
- IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (11), 7238-7249
- 85 citations
- 2020
Robust fault‐tolerant control of uncertain fractional‐order systems against actuator faults
- H Shen, X Song, Z Wang
- IET Control Theory & Applications 7 (9), 1233-1241
- 85 citations
- 2013
Image encryption based on a delayed fractional-order chaotic logistic system
- Z Wang, X Huang, N Li, XN Song
- Chinese Physics B 21 (5), 050506
- 82 citations
- 2012
Data-driven control of hydraulic servo actuator based on adaptive dynamic programming
- V Djordjevic, V Stojanovic, H Tao, X Song, S He, W Gao
- Discrete & Continuous Dynamical Systems-Series S 15 (7)
- 81 citations
- 2022
Event-triggered H∞ control for networked discrete-time Markov jump systems with repeated scalar nonlinearities
- X Song, Y Men, J Zhou, J Zhao, H Shen
- Applied Mathematics and Computation 298, 123-132
- 80 citations
- 2017

Yasin BEKTAŞ | Control Engineering | Best Researcher Award

Posted on 06/03/2024 by ScienceFather

Dr. Yasin BEKTAŞ | Control Engineering | Best Researcher Award

Doctor Lecturer at Control Engineering, AKSARAY UNIVERSITY, Turkey

Turkey is a transcontinental country with a rich history, spanning multiple ancient civilizations. It is located mainly on the Anatolian Peninsula in Western Asia, with a smaller portion on the Balkan Peninsula in Southeast Europe. The country is bordered by eight countries and has a diverse cultural heritage. Modern-day Turkey is a democratic republic with a mixed economy, featuring industries such as textiles, automotive, electronics, and tourism. The capital is Ankara, while the largest city, Istanbul, is a major cultural and economic hub.

Professional Profiles:

Education:

Yasin Bektaş was born on October 3, 1982, in Sivas, Turkey. He completed his undergraduate education in Electrical Teacher at Marmara University from 2004 to 2008. He continued his education at Marmara University for his postgraduate studies in Electrical Teacher from 2008 to 2010. Later, Yasin pursued further education in Electrical Electronics Engineering at Selçuk University, starting in 2015 for his undergraduate degree. He completed his doctoral education in Electrical Electronics Engineering at Selçuk University from 2018 to 2023.

Experience:

Yasin Bektaş has a diverse range of professional experiences. He started his career as a Technical Teacher in October 2008, where he honed his skills in teaching and technical expertise. From July 2010 to 2013, he worked as a freelance Electrical Electronics Engineer, gaining practical experience in the field. In October 2013, Yasin transitioned to a lecturer role, where he shared his knowledge and expertise with students. Continuing his career progression, he became a Dr. Lecturer in October 2023, further solidifying his position as an expert in his field.

Skills:

Yasin Bektaş possesses a strong set of skills that contribute to his professional expertise. He is proficient in Microsoft Office, which includes Word, Excel, and PowerPoint, allowing him to efficiently create and manage documents, spreadsheets, and presentations. Additionally, his proficiency in AutoCAD enables him to design and draft technical drawings with precision. Yasin is also skilled in using Dialux, a software application for lighting design, which is essential in his field. Furthermore, his proficiency in CorelDRAW enhances his ability to create graphic designs and illustrations, adding a creative dimension to his skill set. Overall, Yasin’s diverse skill set makes him a versatile professional in the field of electrical electronics engineering.

Teaching:

Yasin Bektaş has a rich background in teaching, starting with his role as a Technical Teacher from October 2008 to 2010. During this time, he provided valuable instruction and guidance to students, helping them develop their technical skills. Following this, Yasin served as a lecturer from October 2013 to 2023, where he continued to impart knowledge and expertise in the field of electrical electronics engineering. His teaching experience includes delivering lectures, conducting practical demonstrations, and evaluating student performance. Yasin’s commitment to education is further evidenced by his current position as a Dr. Lecturer, where he continues to inspire and educate the next generation of professionals in his field.

Publications:

Brushless direct current (BLDC) motor driving experimental set
- Y Bektas, NFO Serteller
- 2011
- Citations: 19
Red deer algorithm based selective harmonic elimination for renewable energy application with unequal DC sources
- Y Bektaş, H Karaca
- 2022
- Citations: 10
FIRÇASIZ DA MOTORUN KONTROLÜNDE PWM VE HİSTERİSİZ BANT TEKNİĞİNİN KARŞILAŞTIRILMASI
- Y Bektaş, NFO SERTELLER
- 2010
- Citations: 7
Biyogaz Destekli Yenilenebilir Hibrid Sistemler İle Enerji Üretimi
- Y Bektaş, M Gülmez
- 2015
- Citations: 5
Red deer algorithm-based selective harmonic elimination technique for multilevel inverters
- Y Bektaş, H Karaca, TA Taha, HI Zaynal
- 2023
- Citations: 4
Speed estimation of brushless direct current (BLDC) motor with multilayer perceptron
- NFO Serteller, Y Bektas, S Nogay, TC Akinci
- 2012
- Citations: 3
Makine Öğrenmesi ve Optimizasyon Yöntemleri ile Uzun Dönem Elektrik Enerjisi Tahmini: Türkiye Örneği
- ÖA KARAMAN, Y BEKTAŞ
- 2023
- Citations: 2
Red deer algorithm based harmonic mitigation for asymmetric cascaded multilevel inverters
- Y Bektaş, H Karaca
- 2022
- Citations: 2
YOL AYDINLATMASI TESİSATLARINDA KLASİK YÖNTEM İLE BİLGİSAYAR DESTEKLİ YÖNTEMİN KARŞILAŞTIRILMASI
- Y BEKTAŞ, M DURSUN, T DİNDAR, HH KARACA
- 2018
- Citations: 2
Fırçasız doğru akım Motoru (Fsdam) Ve sürücü Devresi eğitim Seti Analizi geliştirilmesi Ve Motorun Bilgisayar ortamında Incelenmesi
- Y Bektaş
- 2011
- Citations: 2

Jiajia Chen | Automation | Young Scientist Award

Posted on 02/03/2024 by ScienceFather

Assoc Prof Dr. Jiajia Chen | Automation | Young Scientist Award

Associate Professor at Automation, Shandong University of Technology, China

Dr. Jiajia Chen is an Associate Professor at Shandong University of Technology, specializing in key technologies and applications of energy storage, smart grid enhancement, demand-side management, and power pricing. She holds a Ph.D. and M.Eng. from South China University of Technology and a B.Eng. from Linyi University. Dr. Chen has conducted research funded by various grants, including the National Natural Science Foundation of China, focusing on topics such as bidirectional power resource aggregation, optimal control of flexible DC distribution systems, and voltage stability in renewable power systems. She has also served in academic and editorial roles, highlighting her commitment to advancing research and knowledge in her field.

Professional Profiles:

Scopus Profile

Education:

Associate Professor Dr. Jiajia Chen is currently affiliated with Shandong University of Technology (SDUT), where she has been serving since January 2016. Her research interests lie in the key technologies and applications of energy storage, flexibility, and resilience enhancement of smart grids, demand-side management and power pricing, as well as the operation and control of agricultural networks. In addition to her role at SDUT, Dr. Chen also holds part-time positions as the Deputy Secretary-General of Shandong Electrical Technology Society and the Young Editorial Board of Electric Power Construction Journal. Dr. Chen has also contributed to the academic community through her role as a Visiting Scholar at Cleveland State University, USA, from September 2018 to August 2019. During this time, she focused on the Department of Electrical Engineering. Her academic journey includes a Ph.D. from South China University of Technology (SCUT), where she majored in Power System and Its Automation from September 2011 to December 2015. Dr. Chen received the First-class Scholarship of SCUT during her Ph.D. studies. Prior to her Ph.D., she completed her Master of Engineering in Mathematics and Applied Mathematics, also at SCUT, where she was awarded the First-class Scholarship. Dr. Chen began her academic pursuits with a Bachelor of Engineering in Mathematics and Applied Mathematics from Linyi University (LNU), where she received the First-class Scholarship of LYU, graduating in July 2010.

Academic Research:

Dr. Jiajia Chen has been involved in several research projects focusing on various aspects of power systems and energy management. One of her projects, funded by the National Natural Science Foundation of China (Grant 52377110), explores a user-side multi-decentralized bidirectional power resource aggregation mechanism and cooperative control. The project aims to evaluate credible capacity and state of energy for generalized energy storage under multiple uncertainties, as well as cooperative control of multiple dispersed bidirectional power resources considering active-reactive coupling. She has also worked on the research project funded by the National Natural Science Foundation of China (Grant 51807112) focusing on multi-time scale stability and optimal control of flexible DC distribution systems. This project involves research on algorithm design for the optimal control of flexible DC distribution systems. Another project, funded by the National Natural Science Foundation of China (Grant 51707109), involves research on the topology method of enhanced voltage stability online power grid considering uncertainty and contingency set. The aim is to improve the stability of renewable power systems through the theoretical basis and design of an uncertain optimization model and algorithm.

Publications:

Combining multi-step reconfiguration with many-objective reduction as iterative bi-level scheduling for stochastic distribution network
- Authors: J.Y. Li, J.J. Chen, Y.X. Wang, W.G. Chen
- Year: 2024
Fuzzy semi-entropy based downside risk to low-carbon oriented multi-energy dispatch considering multiple dependent uncertainties
- Authors: P.H. Jiao, J.J. Chen, X. Cai, Y.L. Zhao
- Year: 2024
Enhancing resilience of agricultural microgrid through electricity–heat–water based multi-energy hub considering irradiation intensity uncertainty
- Authors: Y.Q. Zhang, J.J. Chen, Y.X. Wang, L. Feng
- Year: 2024
Robust scheduling of virtual power plant with power-to-hydrogen considering a flexible carbon emission mechanism
- Authors: Z. Yang, K. Li, J. Chen
- Year: 2024
Random clustering and dynamic recognition-based operation strategy for energy storage system in industrial park
- Authors: G.J. Yan, J.J. Chen, J.Y. Liu, W.G. Chen, B.Y. Xu
- Year: 2023
A resilience enhancement strategy for multi-microgrid in extreme scenarios based on electric vehicles
- Authors: K. Sun, W. Chen, J. Chen, W. Yin
- Year: 2023
Credibility Theory-Based Information Gap Decision Theory to Improve Robustness of Electricity Trading under Uncertainties
- Authors: X. Zhao, P. Wang, Q. Li, L. Feng, J. Chen
- Year: 2023
Flexibility operation for integrated energy system considering hydrogen energy under inertia characteristics and stepped carbon trading mechanism
- Authors: P.H. Jiao, X. Cai, L.L. Wang, Y.L. Zhao, Y.F. Cao
- Year: 2023
Pricing Mechanism and Trading Strategy Optimization for Microgrid Cluster Based on CVaR Theory
- Authors: W. Chen, Y. Zhang, J. Chen, B. Xu
- Year: 2023
Credibility theory to handle uncertain renewable energy: A fuzzy chance constrained AC optimal power flow
- Authors: J.H. Duan, J.J. Chen, F.W. Liu, P.H. Jiao, B.Y. Xu
- Year: 2023

Assoc Prof Dr. Tomás Mateo Sanguino | Mechatronics | Best Researcher Award

Posted on 24/02/2024 by ScienceFather

Assoc Prof Dr. Tomás Mateo Sanguino | Mechatronics | Best Researcher Award

Profesor Titular de Universidad at Mechatronics, Universidad de Huelva, Spain

Dr. Mateo Sanguino is an Industrial Technical Engineer (specializing in Electronics), an Electronic Engineer, and holds a Master’s Degree in University Teaching, along with a PhD in Systems Engineering and Automatics from UHU. He has been actively involved in research since 1998, working as a research fellow and freelancer at the National Institute of Aerospace Technology (INTA). He also contributed to a specific project at the Higher Council for Scientific Research (CSIC) in 2003/04. Dr. Sanguino was a member of the research group “Robotic and High Energy Astrophysics” (TIC-189) as part of the Andalusian Research Plan (PAI) of the Andalusian Government. Since 2004, he has been a teacher at UHU and has served as the deputy director of the Department of Electronic Engineering, Computer Systems, and Automatics since 2014. He is currently affiliated with the research group “Control and Robotics” (TEP192). Additionally, he founded the Spin-off company “OnuRobotics” between 2009 and 2012, which received awards from the Ministry of Innovation and Science (CICE) of the Andalusian Government and the “Creara” training plan (50K Companies).

Professional Profiles:

Education:

Tomás Mateo Sanguino holds a Ph.D. from the University of Huelva, which he obtained in 2010. Prior to his doctoral studies, he completed a Master’s in University Teaching at the University of Huelva in 2008. His academic journey began with a degree in Electronics Engineering from the University of Granada in 2001.

Research Projects:

V Jornadas ScienCity 2022 – Fomento de la Cultura Científica, Tecnológica y de Innovación en Ciudades Inteligentes, Funding body: FECYT, Junta de Andalucía, Universidad de Huelva, Cátedra de Innovación Social de Aguas de Huelva, Cátedra de la Provincia. Date: 01/12/2021 – 30/06/2023. Principal investigator: T.J. Mateo Sanguino. Total amount: 14,000 €.Improving Road Safety Using Photoluminescent Signage and Fog Computing, Funding body: Junta de Andalucía – Programa de Ayudas a la I+D+i en el Ámbito del Plan Andaluz de Investigación, Desarrollo e Innovación (PAIDI 2020). Participating entities: Universidad de Huelva, Universidad de Algarve (Portugal), Instituto Politécnico de Beja (Portugal). Date: 30 months. Principal investigator: T.J. Mateo Sanguino. Total.

Patents:

Dr. Tomás Mateo Sanguino is an Industrial Technical Engineer (specializing in Electronics), an Electronic Engineer, holds a Master’s Degree in University Teaching, and earned his Ph.D. in Systems Engineering and Automatics from the University of Huelva (UHU). He has been involved in research since 1998, working as a research fellow and freelancer at the National Institute of Aerospace Technology (INTA). In 2003/04, he was hired for a specific project or service at the Higher Council for Scientific Research (CSIC). Dr. Mateo Sanguino was part of the research group “Robotic and High Energy Astrophysics” (TIC-189) under the Andalusian Research Plan (PAI) of the Andalusian Government. Since 2004, he has been a teacher at the UHU and has served as the deputy director of the Department of Electronic Engineering, Computer Systems, and Automatics since 2014. He is currently a member of the research group “Control and Robotics” (TEP192) at UHU. Additionally, he was a founder of a Spin-off called “OnuRobotics” between 2009 and 2012, which received two prizes: one from the Ministry of Innovation and Science (CICE) of the Andalusian Government and another from the “Creara” training plan for 50K Companies.

Professional Experience:

Dr. Tomás Mateo Sanguino has held various significant roles throughout his career. He is currently the Director at the Virtual Teaching Service at the University of Huelva, a position he has held since July 11, 2021. Prior to this, he served as the Deputy Director at the Department of Electronic Engineering, Computer Systems, and Automatics, starting from October 1, 2014. Dr. Mateo Sanguino has been an Instructor of the CISCO Certified Networking Association (CCNA) program since 2007, receiving honors as an Advanced Level Instructor of Excellence from the Cisco Networking Academy in 2013, and honors as an Instructor after 10 Years of Service in 2018.

Achievements:

In his academic and research career, Dr. Mateo Sanguino has also been a member of the Research Commission of the Strategic Plan 2012-2015 and served as the Vice-Rector for Research at the University of Huelva from September 30, 2011. He completed a postdoctoral stay at École Polytechnique Fédérale de Lausanne (EPFL) in Lausanne, Switzerland, starting from June 1, 2011, with a duration of 3.5 months, focusing on the research theme of an augmented reality interface for a telepresence robot. Additionally, he received the CICE award granted by the Ministry of Innovation and Science of the Andalusian Government, totaling 3000 €, and enrollment in the ‘Creara’ entrepreneur program (Business 50 K), totaling 2000 €, in 2008.

Publications:

Localization and broadband follow-up of the gravitational-wave transient GW150914
- Authors: BP Abbott, R Abbott, TD Abbott, MR Abernathy, F Acernese, K Ackley, …
- Journal: The Astrophysical Journal Letters
- Volume: 826
- Issue: 1
- Pages: L13
- Citations: 295
- Year: 2016
The burst observer and optical transient exploring system (BOOTES)
- Authors: AJ Castro-Tirado, J Soldán, M Bernas, P Páta, T Rezek, R Hudec, …
- Journal: Astronomy and Astrophysics Supplement Series
- Volume: 138
- Issue: 3
- Pages: 583-585
- Citations: 110
- Year: 1999
Diseño de laboratorios virtuales y/o remotos. Un caso práctico
- Authors: JMA Márquez, TJM Sanguino
- Journal: Revista Iberoamericana de Automática e Informática Industrial RIAI
- Volume: 7
- Issue: 1
- Pages: 64-72
- Citations: 88
- Year: 2010
GRB 050509b: the elusive optical/nIR/mm afterglow of a short-duration GRB
- Authors: AJ Castro-Tirado, A de Ugarte Postigo, J Gorosabel, T Fathkullin, …
- Journal: Astronomy and Astrophysics
- Volume: 439
- Issue: 2
- Pages: 15-18
- Citations: 77
- Year: 2005
Review on v2x, i2x, and p2x communications and their applications: a comprehensive analysis over time
- Authors: JM Lozano Dominguez, TJ Mateo Sanguino
- Journal: Sensors
- Volume: 19
- Issue: 12
- Pages: 2756
- Citations: 76
- Year: 2019
The development of the Spanish Fireball Network using a new all-sky CCD system
- Authors: JM Trigo-Rodríguez, AJ Castro-Tirado, J Llorca, J Fabregat, VJ Martínez, …
- Journal: Earth, Moon, and Planets
- Volume: 95
- Issue: 1
- Pages: 553-567
- Citations: 68
- Year: 2004
50 years of rovers for planetary exploration: A retrospective review for future directions
- Author: TJ Mateo Sanguino
- Journal: Robotics and Autonomous Systems
- Volume: 94
- Pages: 172-185
- Citations: 65
- Year: 2017
Building the BOOTES world-wide Network of Robotic telescopes
- Authors: AJ Castro-Tirado, M Jelínek, J Gorosabel, P Kubánek, R Cunniffe, S Guziy, …
- Conference: Astronomical Society of India Conference Series
- Volume: 7
- Pages: 313-320
- Citations: 60
- Year: 2012
RTS2 — Remote Telescope System, 2nd Version
- Authors: P Kubánek, M Jelínek, M Nekola, M Topinka, J Štrobl, R Hudec, …
- Journal: AIP Conference Proceedings
- Volume: 727
- Issue: 1
- Pages: 753-756
- Citations: 60
- Year: 2004
Smart Host Microcontroller for Optimal Battery Charging in a Solar-Powered Robotic Vehicle
- Authors: TJ Mateo Sanguino, JE Gonzalez Ramos
- Journal: IEEE-ASME Transactions on Mechatronics
- Volume: 18
- Issue: 3
- Pages: 1039-1049
- Citations: 44
- Year: 2013

Dr. Reni K. Cherian | Computer Science | Best Researcher Award

Posted on 17/02/2024 by ScienceFather

Dr. Reni K. Cherian | Computer Science | Best Researcher Award

Associate Professor at Computer Science, Saintgits College of Engineering, India

Dr. Reni K. Cherian is an accomplished Associate Professor in the Department of Computer Science & Engineering at SAINTGITS College of Engineering, situated in Pathamuttom, Kottayam. With a strong academic background and a passion for education, she is dedicated to advancing the field of computer science through her research and teaching. Dr. Cherian’s expertise lies in areas such as Data Science, Computational Intelligence, Intrusion Detection Systems, and Education Technology. Her commitment to excellence in education has been recognized through various awards, including the Teaching and Learning Leadership Award by Indo Universal Collaboration for Engineering Education (IUCEE) in January 2024. Dr. Cherian’s work reflects her deep-seated belief in the transformative power of education and technology in shaping a better future.

Professional Profiles:

Professional Experience:

Dr. Reni K. Cherian has had a rich and varied professional journey. She currently serves as an Associate Professor at Saintgits College of Engineering, Kottayam, a position she has held since January 2022. Prior to her current role, Dr. Cherian was an Assistant Professor at the same institution for over a decade, from July 2010 to January 2022. She began her academic career at Saintgits College of Engineering, Kottayam, as a Lecturer from January 2008 to June 2010. Before her time at Saintgits, Dr. Cherian worked as a Lecturer at Mar Baselios College of Engineering & Technology, Trivandrum, from July 2005 to July 2006, and at Mar Baselios Christian College of Engineering & Technology, Idukki, from January 2004 to July 2005. She also has experience as a Guest Lecturer at Government Polytechnic College, Pathanamthitta, from June 2003 to October 2003. Prior to her academic roles, Dr. Cherian worked in the software industry, gaining valuable experience as a Software Developer at Data Systems and Softwares, Bangalore, from June 2001 to May 2003, and at Eagle Software Technologies, Pathanamthitta, from June 2000 to May 2001. Her diverse background brings a wealth of knowledge and experience to her current role in academia.

Education:

Dr. Reni K. Cherian has pursued a strong academic path, culminating in a Ph.D. in Computer Science & Engineering from Noorul Islam University, Thuckalay, which she completed in 2021. Prior to her doctoral studies, she earned a Master of Engineering (M.E.) in Computer Science & Engineering from Anna University, Chennai, in 2008. Her foundational education in this field began with a Bachelor of Engineering (B.E.) in Computer Science & Engineering from Manonmaniam Sundaranar University, Tirunelveli, in 2000. Dr. Cherian’s early academic years were at Jawahar Navodaya Vidyalaya, Pathanamthitta, where she completed her 12th grade in 1995 and her 10th grade in 1993, both under the CBSE curriculum. Her educational journey reflects a strong commitment to the field of computer science and a dedication to academic excellence.

Awards & Recognitions:

Dr. Reni K. Cherian’s dedication to excellence in education has been recognized through various awards and accolades. In June 2008, she was awarded the Fifth Rank in Master of Engineering (Computer Science & Engineering) by Anna University, Chennai, showcasing her academic prowess. Her commitment to engineering education was further highlighted in December 2019 when she achieved certification as an IGIP International Engineering Educator by The International Society for Engineering Pedagogy. Dr. Cherian’s contributions to teaching and learning were honored with the Teaching and Learning Leadership Award by Indo Universal Collaboration for Engineering Education (IUCEE) during ICTIEE in January 2024, underscoring her impact in the field.

Areas of Interest:

Dr. Reni K. Cherian’s professional interests span a wide range of topics within the field of computer science and engineering. She has a strong interest in Data Science, focusing on the analysis and interpretation of data to extract valuable insights. Her research also extends to Computational Intelligence, where she explores the development of intelligent systems capable of solving complex problems. Dr. Cherian is also actively involved in researching and implementing Intrusion Detection Systems, working to enhance the security of computer networks. Additionally, she is passionate about Education Technology, aiming to improve learning outcomes through the integration of technology in educational settings. Her diverse areas of interest reflect a deep commitment to advancing the field and exploring innovative solutions to real-world challenges.

Mr. Sairoel Finecomess | Optimization of Mobile Robot | Best Researcher Award

Posted on 12/02/202412/02/2024 by ScienceFather

Mr. Sairoel Finecomess | Optimization of Mobile Robot | Best Researcher Award

PHD candidate student at Optimization of Mobile Robot, Peter the great saint peterburg polytechnic university, Ethiopia

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Google scholar

Background:

Felipe is interested in mechatronics engineering, an interdisciplinary field combining mechanical, electrical, and computer engineering. He was born in Mizan Aman, Ethiopia, on August 30, 1990. For his education, he attended Mizan 2 and Mizan 1 for elementary and primary education from 2002 to 2010. From 2011 to 2013, he attended Mizan Aman High School and Addis Ababa Bright Future for his high school education. Felipe holds a five-year Bachelor of Science degree in Electromechanical (Mechatronics) Engineering from Hawassa University, obtained in 2016, and a Master of Science degree in Mechatronics Engineering from Addis Ababa Science and Technology University, earned in 2019. Currently, Felipe is a doctoral candidate at Peter the Great Saint Petersburg Polytechnic University in Saint Petersburg, Russia. 📚

Work Experience:

Felipe worked as an Assistant Lecturer from October 20, 2016, to October 25, 2017, and as a Lecturer from October 10, 2019, to October 15, 2022, at Mizan Tepi University, Tepi, Ethiopia. 🏫

Personal Skills:

Felipe is fluent in English and has conducted research and peer review work in science. 🌍

Recent Work:

Felipe’s recent work includes optimizing the performance of wheeled mobile robots for use in agriculture, utilizing an Internet of Things (IoT) device for intelligent control in agriculture, hybridized renewable energy for smart vehicle-to-grid (V2G) systems, assessing smart mechatronics applications in agriculture, optimizing automobile active suspension systems, analyzing a coffee husk fired cogeneration plant in South Western Ethiopia coffee processing industries, and designing a fuzzy-based proportional-integral-derivative controller for elbow-forearm rehabilitation robots. 🤖

Publications:

Analysis of a coffee husk fired cogeneration plant in South Western Ethiopia coffee processing industries
- Authors: S Amertet, Y Mitiku, G Belete
- Year: 2021
- Citations: 11
- Journal: Low Carbon Economy 12 (1), 42-62
Quarter car active suspension system design using optimal and robust control method
- Author: M Jibril
- Year: 2020
- Citations: 10
Optimization of automobile active suspension system using minimal order
- Authors: SA Finecomes, FL Gebre, AM Mesene, S Abebaw
- Year: 2022
- Citations: 3
- Journal: International Journal of Electrical and Computer Engineering (IJECE) 12 (3)
Design of optimal linear quadratic regulator (LQR) control for full car active suspension system using reduced order
- Author: S Amertet
- Year: 2019
- Citations: 3
- Source: National Academic Digital Repository of Ethiopia
Assessment of Smart Mechatronics Applications in Agriculture: A Review
- Authors: S Amertet, G Gebresenbet, HM Alwan, KO Vladmirovna
- Year: 2023
- Citations: 2
- Journal: Applied Science 13 (7315), 20
Position control of a solenoid based linearly movable armature system using robust control technique
- Authors: M Jibril, M Tadese, E Alemayehu
- Year: 2020
- Citations: 2
Modelling Design and Control of an Electromechanical Mass Lifting System using Optimal and Robust control Method
- Authors: M Jibril, M Tadese, E Alemayehu
- Year: 2020
- Citations: 2
Design and analysis of fuzzy based proportional-integral-derivative controller for elbow-forearm rehabilitation robot
- Authors: A Addisie, R Weldegiorgis, S Amertet
- Year: 2020
- Citations: 1
- Journal: International Journal of Image, Graphics and Signal Processing 12 (4), 47-63
Optimizing the performance of a wheeled mobile robots for use in agriculture using a linear-quadratic regulator
- Authors: S Amertet, G Gebresenbet, HM Alwan
- Year: 2024
- Source: Robotics and Autonomous Systems, 104642
Utilizing an Internet of Things (IoT) Device, Intelligent Control Design, and Simulation for an Agricultural System
- Authors: HMA Sairoel Amertet Finecomess, Girma Gebresenbet
- Year: 2024
- Journal: Internet of Things 5 (1), 21

Dr. Pankaj Kumar Keserwani | Computer Science | Best Research Award

Posted on 07/02/202407/02/2024 by ScienceFather

Dr. Pankaj Kumar Keserwani | Computer Science | Best Research Award

Associate Professor at Computer Science, NIT Sikkim, India

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

Professional Profiles:

Education:

Dr. Pankaj Kumar Keserwani holds a Ph.D. in Information Security from NIT Sikkim, which was awarded in 2021. He also has a Master’s (MS-CLIS) from IIIT Allahabad, with a grade point of 8.06, awarded in 2009. Additionally, he completed a Master’s in Computer Applications (MCA) from UPTU Lucknow, with a percentage of 67.25%, awarded in 2006. His Bachelor’s degree (B.Sc.) is from Allahabad University, with a percentage of 51.8%, awarded in 2001. He completed his 12th/Higher Secondary education from U.P. Board, with a percentage of 51.8%, in 1997, and his 10th from U.P. Board, with a percentage of 59%, in 1995.

Pankaj Kumar Keserwani ‘s citation metrics and indices from Google Scholar are as follows:

Cited by: All: 212, Since 2018: 178
Citations: 212 (All), 178 (Since 2018)
h-index: 9 (All), 7 (Since 2018)
i-10index: 6 (All), 4 (Since 2018

These metrics showcase the impact of Keserwani ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Experience:

Organization: National Institute of Technology Sikkim
- Post: Assistant Professor
- Period: From 23.06.2021 to Present (2 years, 1 month)
- Nature of Responsibilities: Teaching and administrative
- Employment Type: Regular
Organization: National Institute of Technology Sikkim
- Post: Assistant Professor
- Period: From 28.12.2015 to 22.06.2021 (5 years, 6 months)
- Nature of Responsibilities: Teaching and administrative
- Employment Type: Contract
Organization: National Institute of Technology Sikkim
- Post: Assistant Professor
- Period: From 01.02.2012 to 27.12.2015 (3 years, 11 months)
- Nature of Responsibilities: Teaching and administrative
- Employment Type: Adhoc

Academic Responsibilities:

Dr. Pankaj Kumar Keserwani has organized and participated in several workshops and Faculty Development Programs (FDPs). He served as the Coordinator for a one-week FDP on Cloud Forensics: Techniques, Challenges, and Research Directions from 18/10/2021 to 22/10/2021. Additionally, he acted as the Co-Coordinator for a two-week FDP on Computer Vision and Image Processing using Deep Learning: Research Issues and Applications from 19/12/2022 to 30/12/2022. He also served as the Convener for a four-day workshop on Data Mining and Business Analytics from 16/11/2016 to 19/11/2016.

Publications:

“A smart anomaly-based intrusion detection system for the Internet of Things (IoT) network using GWO–PSO–RF model”

Authors: PK Keserwani, MC Govil, ES Pilli, P Govil

Citations: 68

Year: 2021

Journal: Journal of Reliable Intelligent Environments

“An efficient web mining algorithm for Web Log analysis: E-Web Miner”

Authors: MP Yadav, PK Keserwani, SG Samaddar

Citations: 22

Year: 2012

Conference: 2012 1st International Conference on Recent Advances in Information …

“Air Quality Index prediction using an effective hybrid deep learning model”

Authors: N Sarkar, R Gupta, PK Keserwani, MC Govil

Citations: 21

Year: 2022

Journal: Environmental Pollution

“Information security: Components and techniques”

Authors: A Singh, A Vaish, PK Keserwani

Citations: 21

Year: 2014

Journal: International Journal of Advanced Research in Computer Science and Software …

“Research issues and challenges of wireless networks”

Authors: A Singh, A Vaish, PK Keserwani

Citations: 12

Year: 2014

Journal: International Journal of Advanced Research in Computer Science and Software …

“An effective NIDS framework based on a comprehensive survey of feature optimization and classification techniques”

Authors: PK Keserwani, MC Govil, ES Pilli

Citations: 11

Year: 2023

Journal: Neural Computing and Applications

“An optimal intrusion detection system using GWO-CSA-DSAE model”

Authors: PK Keserwani, MC Govil, E S. Pilli

Citations: 9

Year: 2021

Journal: Cyber-Physical Systems

“Digital forensic enabled image authentication using least significant bit (lsb) with tamper localization based hash function”

Authors: UK Das, SG Samaddar, PK Keserwani

Citations: 9

Year: 2018

Book: Intelligent Communication and Computational Technologies:

Mrs. Maria Arostgei | Artificial Intelligence | Best Researcher Award

Posted on 29/01/202429/01/2024 by ScienceFather

Mrs. Maria Arostgei | Artificial Intelligence | Best Researcher Award

PhD Candidate at Artificial Intelligence, Tecnalia Research Innovation, Spain

👨‍🎓She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

Professional Profiles:

Education:

Maria Arostegi 🎓 earned her mathematics degree (Number Theory) in 1995 from EHU-UPV (Basque Country University), completing her final year of studies at L’Università degli Studi di Milano in Milano, Italy 🇮🇹. In 1996, she completed the Course on Pedagogical Aptitude. Over the next two years, she received grants to work in the mechanics department of LABEIN, focusing on Virtual Reality. She then obtained another grant from the “Bizkaiko Foru Aldundia” to further her training on Virtual Reality tools at VRAC (Virtual Reality Applications Center, Ames-IA), where she worked with the Carolina Cruz-Neira research team. During this period, she focused on geometric modeling, software navigation, and photo-realistic treatment.

Experience:

From then until 2017, Maria worked on various projects related to 3D modeling tools, graphic interaction, computation, and simulation in different scenarios. She specialized in developing software predictive tools for rolling mills, continuous casting, and reheating furnaces. Specifically, she developed the heating module in 1D, 2D, and 3D, as well as software interfaces for these steel processes. This involved mathematical development of the three-dimensional equations of heat transfer in steel processes and the (2D and 3D) View factor related to the geometrical shapes in the reheating furnace process for calculating radiation heat transfer.

Other Activity:

In 2017, Maria shifted her focus to studying mathematical algorithms for data analytics, machine learning, and big data technologies (such as Hadoop, Spark, etc.), receiving training in “Big data, Business Intelligence, and Data Science” through an online Master’s degree issued by INESEM. Since then, she has participated in several AI projects using techniques such as Artificial Intelligence, Machine Learning, clustering schemes, dimensional reduction, unbalanced strategies, regressive schemes, linear, lasso, elastic-net, SVMs, CART, RF, and assembly methods (bagging and boosting).

Currently, Maria is working on her thesis titled “Explainable continual learning over data streams” as part of the PhD program at UPV/EHV in the field of Information and Communication Technologies in Mobile Networks, while also working part-time.

Mr. Wang Xiaofeng | Artificial Intelligence | Best Researcher Award

Posted on 27/01/2024 by ScienceFather

Mr. Wang Xiaofeng | Artificial Intelligence | Best Researcher Award

PhD Student at Artificial Intelligence, INTI International University, Malaysia

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

Professional Profiles:

Scopus Profile

Education:

👨‍🎓 Xiaofeng Wang (1980) is a PhD candidate in the Faculty of Data Science and Information Technology at INTI International University, Nilai, Malaysia. Originally from Shanxi, China, he graduated from Xinzhou Normal University with a major in Computer Science and Technology. He furthered his education at Shanxi University, specializing in Computer Systems Engineering.

Other Activity:

👨‍🏫 Currently, Xiaofeng Wang is a lecturer in the Department of Computer Science at Xinzhou Normal University in Shanxi. His primary research interests revolve around the Internet of Things, cyberspace security, artificial intelligence, and deep learning. Over the past few years, he has made significant contributions to his field, with 3 SCI papers, 1 EI paper, 2 Scopus papers, 1 book, and involvement in several research projects.

Publications:

Wang, X., Othman, M., Dewi, D.A., Wang, Y. (2024). WSLC: Weighted semi-local centrality to identify influential nodes in complex networks. Journal of King Saud University – Computer and Information Sciences, 36(1), 101906.
Wang, X., Wang, Y., Javaheri, Z., Moghadamnejad, N., Younes, O.S. (2023). Federated deep learning for anomaly detection in the internet of things. Computers and Electrical Engineering, 108, 108651.
Wang, Y., Wang, X., Ariffin, M.M., Alqhatani, A., Almutairi, L. (2023). Attack detection analysis in software-defined networks using various machine learning methods. Computers and Electrical Engineering, 108, 108655.
Wang, X. (2013). The research of digital recognition technology based on bp neural network. BioTechnology: An Indian Journal, 8(2), 180–185.