Prof VALERIYA GRIBOVA | Computer Science | Best Researcher Award |

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Prof. VALERIYA GRIBOVA | Computer Science | Best Researcher Award |

Institute of Automation and Control Process FEBRAS, Russia

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR 

 👨‍🎓 Bio Summary:

Prof. Valeriya Gribova is a distinguished expert in artificial intelligence and the Research Deputy Director at the Institute of Automation and Control Processes (IACP FEB RAS). She heads the Laboratory of Intelligent Systems and is a Corresponding Member of the Russian Academy of Sciences. With a doctorate in technical sciences and a background in applied mathematics from the Leningrad Polytechnic Institute, Prof. Gribova has made groundbreaking contributions to knowledge representation models, semantic systems, and intelligent interfaces, including 3D technologies. She has authored over 350 scientific publications and led the development of the IACPaaS platform, a widely adopted research and management tool for intelligent services. A dedicated mentor, she teaches at Far Eastern Federal University and Vladivostok State University, while holding leadership roles such as Vice-President of the Russian Association of Artificial Intelligence. Recognized with numerous awards, including a Presidential Letter of Gratitude and international honors, Prof. Gribova’s work bridges academic excellence and real-world impact in AI innovation.

🎓 Educational Background:

Prof. Valeriya Gribova graduated from the prestigious Leningrad Polytechnic Institute (now St. Petersburg Polytechnic University), Faculty of Physics and Mechanics, specializing in Applied Mathematics. Her strong academic foundation laid the groundwork for her illustrious career in artificial intelligence and intelligent systems.

🔍 Research Focus:

A renowned expert in artificial intelligence, Prof. Gribova focuses on developing knowledge representation models, semantic systems, and intelligent user interfaces, including advanced 3D interfaces. Her work includes creating methodologies for viable intelligent systems and technologies that are successfully implemented in the widely used IACPaaS platform. This research platform facilitates the development and management of intelligent services, demonstrating both academic rigor and practical utility.

🏆 Honors & Awards:

Prof. Gribova has received numerous prestigious accolades, including:

Letter of Gratitude from the President of the Russian Federation,

Medals such as “300 Years of the Russian Academy of Sciences” and “For Impeccable Work and Distinction (3rd Degree)”,

The international ITHEA Prize for Outstanding Achievements in Information Theories and Applications.
These honors recognize her exceptional contributions to the fields of science, education, and innovation.

💼 Professional Experience:

Currently serving as the Research Deputy Director and Head of the Laboratory of Intelligent Systems at IACP FEB RAS, Prof. Gribova plays a pivotal role in shaping AI research in Russia. She is also a professor at the Far Eastern Federal University and Vladivostok State University, where she mentors graduate students in Computer Science and Engineering. Additionally, she holds leadership roles such as Vice-President of the Russian Association of Artificial Intelligence and contributes as an expert to various governmental and scientific organizations.

📚 Top Noted Publications :

“The development of carbon nanodots as fluorescent receptor for the detection of organophosphate pesticides”

Authors: MMF Chang

Citations: 73

Index: Swinburne

Year: 2016

 

“Application of artificial intelligence techniques for fault diagnostics of autonomous underwater vehicles”

Authors: A. Inzartsev, A. Pavin, A. Kleschev, V. Gribova, G. Eliseenko

Citations: 45

Index: OCEANS 2016 MTS/IEEE Monterey

Year: 2016

 

“The IACPaaS cloud platform: Features and perspectives”

Authors: V. Gribova, A. Kleschev, P. Moskalenko, V. Timchenko, L. Fedorisdiev, et al.

Citations: 35

Index: Russia and Pacific Conference on Computer Technology and Applications

Year: 2017

 

“A two-level model of information units with complex structure that correspond to the questioning metaphor”

Authors: V.V. Gribova, A.S. Kleshchev, F.M. Moskalenko, V.A. Timchenko

Citations: 34

Index: Automatic Documentation and Mathematical Linguistics

Year: 2015

 

“A model for generation of directed graphs of information by the directed graph of metainformation for a two-level model of information units with a complex structure”

Authors: V.V. Gribova, A.S. Kleshchev, F.M. Moskalenko, V.A. Timchenko

Citations: 31

Index: Automatic Documentation and Mathematical Linguistics

Year: 2015

Conclusion:

Dr. Valeriya V. Gribova is a highly suitable candidate for the Best Researcher Award due to her significant contributions to artificial intelligence, extensive publication record, leadership roles, and societal impact. Her work demonstrates a rare combination of theoretical innovation and practical application. Addressing areas like global outreach and diversification of collaboration could further strengthen her profile.

Dr Qilong Wan | Spectral analysis | Best Researcher Award |

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Dr. Qilong Wan | Spectral analysis | Best Researcher Award

Central South University,China

Professional Profiles:

SCOPUS

ORCID

 👨‍🎓 Bio Summary:

Dr. Qilong Wan is a distinguished researcher from China, specializing in metal ion detection, spectral analysis, image processing, mechanical design, and embedded software and hardware design. He has made significant contributions to analytical chemistry and material science through his innovative research, with several high-impact publications in top-tier journals. With a strong foundation in engineering and a multidisciplinary approach, Dr. Wan is recognized for his creative solutions in both industrial and environmental challenges. He has also garnered multiple prestigious awards at both national and enterprise levels, further cementing his reputation as a leader in his field.

🎓 Educational Background:

Dr. Qilong Wan earned his Doctorate in Engineering from Central South University, China. His academic journey has provided him with a solid technical foundation in multiple engineering domains, including spectral analysis and mechanical systems, enabling him to pioneer innovative approaches to complex industrial problems.

🔍 Research Focus:

Dr. Wan’s research focuses primarily on metal ion detection in zinc solutions, spectral analysis, and the integration of neural networks for enhanced detection models. He is particularly skilled in designing systems that mitigate interference in analytical processes, such as temperature fluctuations, using machine learning. His interdisciplinary expertise also extends to image processing, applied in innovative systems like human posture recognition, showcasing his diverse technical abilities.

🏆 Honors & Awards:

National Scholarship (China) 🥇: Awarded for academic excellence and research contributions at the national level.

Baosteel Excellent Student Award 🎖️: Recognition for exceptional academic and research performance in engineering.

First Prize in the National College Student Mathematical Modeling Contest 🏆: Demonstrating his problem-solving abilities through mathematical modeling.

Second Prize in the National College Student Energy Saving and Emission Reduction Competition 🌍: Recognized for his work on sustainable technologies and environmental conservation.

💼 Professional Experience:

Dr. Wan has extensive experience in embedded software and hardware design, working on automated detection systems for industrial applications such as zinc hydrometallurgy. His expertise spans across the development of cutting-edge tools for metal ion concentration detection and other analytical technologies. His professional work emphasizes creating systems that are both efficient and highly accurate, aligning with the demands of modern industrial processes.

📚 Top Noted Publications :

“A Fitting Method of Unlabeled Interference for Spectra Based on Multi-Stage Cross Optimization” (Measurement, IF 5.2): Developed a novel method to optimize spectral analysis under complex interference conditions.

“A Cobalt Ion Concentration Detection Model via a Novel Contrastive Neural Network” (Microchemical Journal, IF 4.9): Proposed an innovative neural network model to improve cobalt ion detection, overcoming temperature interference.

“Automatic Detection System with Efficient Sample Preparation for Cobalt Ion Concentration” (Microchemical Journal, IF 4.9): Designed an automated system for accurate cobalt detection in zinc hydrometallurgy.

“Human Sleeping Posture Recognition Based on Sleeping Pressure Image” (IEEE Sensors Journal, IF 4.3): Applied image processing techniques to develop systems for posture recognition, highlighting his versatility in research.

“Hip Positioning and Sitting Posture Recognition Based on Human Sitting Pressure Image” (Sensors, IF 3.4): Investigated sitting posture recognition through pressure imaging, reflecting his contributions to human-machine interaction systems.

Conclusion:

Qilong Wan is a strong candidate for the Best Researcher Award due to his significant contributions to metal ion detection and spectral analysis, demonstrated by high-impact publications in top-tier journals. His innovative approach, academic achievements, and technical expertise position him as a leader in his field. To further strengthen his candidacy, he could narrow his research focus, take on leadership roles, and seek more international visibility.

Prof BRAJ BHUSHAN | Cognitive Neuropsychology | Best Researcher Award |

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Prof BRAJ BHUSHAN | Cognitive Neuropsychology | Best Researcher Award

IIT KANPUR, India

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR 

 👨‍🎓 Bio Summary:

Prof. Braj Bhushan is a distinguished Professor of Psychology at the Indian Institute of Technology (IIT) Kanpur, with a Ph.D. from Babasaheb Bhimrao Ambedkar Bihar University. His research focuses on affective science, psychological assessment, and neurodevelopmental problems, bridging psychology and neuroscience. Over his extensive career, Prof. Bhushan has held various academic and administrative roles, including Head of the Department of Humanities & Social Sciences and Dean of Administration at IIT Kanpur. He has received several prestigious awards, including the ATF Award and Fellowships from the British Psychological Society and the Association for Psychological Science. His contributions to research and teaching are complemented by his international affiliations, making him a key figure in the field of psychology.

🎓 Educational Background:

Prof. Braj Bhushan completed his Ph.D. in Psychology in 2003 from Babasaheb Bhimrao Ambedkar Bihar University, India. He holds a Master of Arts (M.A.) degree (1995) and a Bachelor of Arts (B.A.) (Honors) degree (1993) in Psychology from Banaras Hindu University. His strong educational foundation has enabled him to contribute significantly to the field of psychology, blending academic rigor with practical research.

🔍 Research Focus:

Prof. Bhushan’s research primarily revolves around affective science, psychological assessment, and neurodevelopmental problems. His work delves into understanding emotional and behavioral processes, assessing psychological conditions, and examining neurodevelopmental disorders, contributing to critical insights in the psychological and neurodevelopmental domains. His research bridges the gap between psychology and neuroscience, with applications in both clinical and developmental contexts.

🏆 Honors & Awards:

Prof. Bhushan has received several prestigious awards and recognitions throughout his career. These include the ATF Award (2023), Fellowship and Associate Fellowship from the British Psychological Society, and the Pavitar Joneja Chair at IIT Kanpur (2022). He has also been recognized as a Fellow of the Association for Psychological Science (Washington, D.C.) and is a Chartered Psychologist with international affiliations with the American Psychological Association and the International Association of Applied Psychology. His teaching excellence was also honored with the Excellence in Teaching Award at IIT Kanpur in 2020.

💼 Professional Experience:

Prof. Bhushan has held various academic and administrative positions at IIT Kanpur. He has served as a Professor since 2015, after progressing through roles as Associate Professor (2010-2015) and Assistant Professor (2006-2010). He also held a senior lecturer position at IIT Guwahati from 2003 to 2006. His leadership roles include Head of the Department of Humanities & Social Sciences, Dean of Administration, Officiating Registrar, and Chief Vigilance Officer at IIT Kanpur. His broad administrative experience demonstrates his commitment to academia and leadership in institutional development.

📚 Top Noted Publications :

Posttraumatic stress and growth among Tibetan refugees: The mediating role of cognitive‐emotional regulation strategies
Authors: D. Hussain, B. Bhushan
Journal: Journal of Clinical Psychology
Citations: 163
Year: 2011

Psychology of meditation and health: Present status and future directions
Authors: D. Hussain, B. Bhushan
Journal: International Journal of Psychology and Psychological Therapy
Citations: 124
Year: 2010

Active physical practice followed by mental practice using BCI-driven hand exoskeleton: A pilot trial for clinical effectiveness and usability
Authors: A. Chowdhury, Y.K. Meena, H. Raza, B. Bhushan, A.K. Uttam, N. Pandey, …
Journal: IEEE Journal of Biomedical and Health Informatics
Citations: 92
Year: 2018

Cultural factors promoting coping among Tibetan refugees: A qualitative investigation
Authors: D. Hussain, B. Bhushan
Journal: Mental Health, Religion & Culture
Citations: 87
Year: 2011

Posttraumatic growth experiences among Tibetan refugees: A qualitative investigation
Authors: D. Hussain, B. Bhushan
Journal: Qualitative Research in Psychology
Citations: 78
Year: 2013

Conclusion:

Professor Braj Bhushan is a strong candidate for the Best Researcher Award due to his extensive academic background, leadership roles, and recognition within the psychological community. His research interests are timely and significant, contributing to a deeper understanding of psychological issues. While there are areas for improvement, such as increasing his publication output and engaging in more international collaborations, his strengths position him favorably for this award. Encouraging his continued growth in these areas could amplify his contributions to the field of psychology and enhance his profile as a leading researcher.

Dr Mohsen Moradi | Coding Theory | Best Researcher Award |

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Dr Mohsen Moradi | Coding Theory | Best Researcher Award

Northeastern University, United States

Professional Profiles:

SCOPUS

GOOGLE SCHOLAR

ORCID

 👨‍🎓 Bio Summary:

Dr. Mohsen Moradi is a highly accomplished researcher with over a decade of experience in coding theory, quantum error correction, and wireless communications. His expertise extends to machine learning, deep learning, and reinforcement learning, where he has made significant contributions. His research has advanced next-generation communication systems and quantum computing applications, earning him recognition for his innovative work in high-rate channel coding and data compression. Dr. Moradi has a strong academic foundation and has collaborated with leading researchers and institutions around the world.

🎓 Educational Background:

Dr. Moradi holds a Ph.D. in Electrical and Electronics Engineering from Bilkent University, Turkey, where he studied under the guidance of Prof. Erdal Arıkan, a Claude E. Shannon Award winner and father of polar codes. His thesis, “Performance and Computational Analysis of Polarization-Adjusted Convolutional (PAC) Codes”, focused on improving coding techniques for high-speed communications. Prior to this, he earned his M.S. in Coding Theory from Tehran Polytechnic (Amirkabir University of Technology) in Iran, where he worked on constructing polar codes for capacity-achieving communication channels. He has also pursued postdoctoral research at Northeastern University, New Mexico State University, and Bilkent University, focusing on quantum error correction, reinforcement learning-aided decoding, and massive access solutions for next-generation wireless systems.

🔍 Research Focus:

Dr. Moradi’s research centers on designing advanced error-correcting codes (ECC) such as polar codes, PAC codes, LDPC codes, and quantum error correction codes. His work addresses key challenges in wireless communication, machine learning, and cryptography, with a special focus on improving the reliability and efficiency of data transmission. He is particularly interested in the intersection of coding theory with quantum computing, where his research on coding for quantum key distribution has potential applications in secure communication. Additionally, his expertise in reinforcement learning and deep learning provides valuable insights for optimizing decoding algorithms in communication systems.

🏆 Honors & Awards:

Throughout his career, Dr. Moradi has contributed extensively to high-impact research but is yet to be formally recognized with major research awards. However, his work with top-tier institutions and publication in prestigious journals highlights the significance of his contributions to the field of communications and quantum computing. As a respected reviewer, he has conducted over 200 reviews for various journals and conferences, further cementing his role as a key contributor in his research community.

💼 Professional Experience:

Dr. Moradi has held multiple postdoctoral research positions, currently serving as a Postdoctoral Research Associate at Northeastern University. Previously, he conducted postdoctoral research at New Mexico State University and Bilkent University. In these roles, he has worked on projects funded by the NSF and other agencies, focusing on high-rate block coding, quantum error correction, and machine learning applications for decoding algorithms. He has also been involved in teaching various courses such as probability, coding theory, machine learning, and engineering mathematics across several academic institutions, sharing his knowledge with students in both theoretical and applied areas.

📚 Top Noted Publications :

Performance and Complexity of Sequential Decoding of PAC Codes
Authors: M. Moradi, A. Mozammel, K. Qin, E. Arıkan
Citations: 33
Published in: arXiv preprint, arXiv:2012.04990
Year: 2020

On Sequential Decoding Metric Function of Polarization-Adjusted Convolutional (PAC) Codes
Authors: M. Moradi
Citations: 31
Published in: IEEE Transactions on Communications, 69 (12), 7913-7922
Year: 2021

A Monte-Carlo Based Construction of Polarization-Adjusted Convolutional (PAC) Codes
Authors: M. Moradi, A. Mozammel
Citations: 25
Published in: arXiv preprint, arXiv:2106.08118
Year: 2021

Combining and Steganography of 3D Face Textures
Authors: M. Moradi, M. R. Sadeghi
Citations: 10
Published in: Journal of Electrical and Computer Engineering Innovations (JECEI), 5 (2), 93-100
Year: 2017

A Tree Pruning Technique for Decoding Complexity Reduction of Polar Codes and PAC Codes
Authors: M. Moradi, A. Mozammel
Citations: 8
Published in: IEEE Transactions on Communications, 71 (5), 2576-2586
Year: 2023

Conclusion:

Based on his expertise in cutting-edge fields such as quantum error correction, machine learning, and advanced coding theory, combined with his significant publication record and interdisciplinary research, Mohsen Moradi would be a strong candidate for the Best Researcher Award. His technical contributions, particularly in next-generation wireless communication systems and quantum error correction, reflect a deep commitment to pushing the boundaries of current technologies. However, gaining more recognition through leadership roles and awards could further elevate his profile in the research community, making him an even stronger contender for such prestigious accolades.

Mrs Hajar HAMMOUCH | Artificial Intelligence | Women Researcher Award |

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Mrs. Hajar HAMMOUCH | Artificial Intelligence | Women Researcher Award

Telecom SudParis / ENSIAS, France

Professional Profiles:

SCOPUS

 👨‍🎓 Bio Summary:

Mrs. Hajar Hammouch is an emerging researcher specializing in the application of advanced Artificial Intelligence (AI) in smart agriculture and healthcare technologies. With a diverse educational background spanning industrial engineering, management, and AI, she is dedicated to using technology to address global challenges. Hajar has international experience, having pursued studies and professional work in Morocco and France, contributing to the fields of quality management, AI-driven solutions, and sustainable agriculture.

🎓 Educational Background:

Hajar holds an Engineering degree in Industrial Engineering from the National School of Applied Science, Fes, Morocco (2010-2015). She later earned a double Master’s degree in Management from the ISCAE Group & Lille University, France (2015-2017), where she developed expertise in international management, focusing on strategy, marketing, and logistics. Currently, she is pursuing a Ph.D. at Télécom SudParis – Institute Polytechnique of Paris (2020-2023, expected), working on the application of Artificial Intelligence models for optimizing irrigation using sensor data and satellite images.

🔍 Research Focus:

Hajar’s research is centered on the use of AI and machine learning to improve precision agriculture, particularly in the management of irrigation systems. Her work aims to enhance sustainability in farming through data-driven methods, utilizing sensor and satellite technologies. Additionally, she has contributed to healthcare by applying handwriting analysis to assist individuals with pathologies, showcasing her versatility in using AI to solve real-world problems across industries.

🏆 Honors & Awards:

Though early in her academic career, Hajar has already made significant strides in research, contributing to AI-driven innovations in agriculture and healthcare. She has also been a member of the HACCP team, working on quality certification processes for the food industry, further demonstrating her dedication to excellence in both scientific research and practical applications.

💼 Professional Experience:

Hajar has served as a Quality Manager at SIMAPA in Fes, Morocco (2017-2020), where she was responsible for ensuring the sanitary safety of products such as olive oil and capers. She played a key role in responding to customer needs and contributed to the HACCP quality certification team. During her time at Télécom SudParis, she also worked on a project focused on automatic handwriting analysis, applying AI techniques to assist people with health challenges, reflecting her diverse experience in both the private and academic sectors.

📚 Top Noted Publications :

Title: GT&I GAN: A Generative Adversarial Network for Data Augmentation in Regression and Segmentation Tasks
Authors: H. Hammouch, S. Mohapatra, M. El-Yacoubi, H. Qin, H. Berbia
Citation: International Conference on Human System Interaction (HSI), 2024
Index: Article in Press
Year: 2024

Title: A Systematic Review and Meta-Analysis of Intelligent Irrigation Systems
Authors: H. Hammouch, M. El-Yacoubi, H. Qin, H. Berbia
Citation: IEEE Access
Index: Open Access Article
Year: 2024

Title: GANSet – Generating Annotated Datasets using Generative Adversarial Networks
Authors: H. Hammouch, S. Mohapatra, M. El-Yacoubi, P. Mader, M. Chikhaoui
Citation: Proceedings of the International Conference on Cyber-Physical Social Intelligence (ICCSI), 2022, pp. 615–620
Index: Conference Paper
Year: 2022

Title: Controlling the Quality of GAN-Based Generated Images for Prediction Tasks
Authors: H. Hammouch, M. El-Yacoubi, H. Qin, H. Berbia, M. Chikhaoui
Citation: Lecture Notes in Computer Science (LNCS), Volume 13363, pp. 121–133
Index: Conference Paper
Year: 2022

Title: A Two-Stage Deep Convolutional Generative Adversarial Network-Based Data Augmentation Scheme for Agriculture Image Regression Tasks
Authors: H. Hammouch, M. El-Yacoubi, H. Qin, H. Berbia, M. Chikhaoui
Citation: 2021 International Conference on Cyber-Physical Social Intelligence (ICCSI)
Index: Conference Paper
Year: 2021

Conclusion:

Hajar Hammouch has significant strengths that make her a strong candidate for the Research for Women Researcher Award, particularly her interdisciplinary research in AI-driven smart agriculture, her international background, and her work in healthcare applications of AI. However, to fully align with the expectations of a prestigious research award, she would benefit from increasing her academic output (e.g., publications) and expanding the scope of her research to demonstrate a broader impact on global challenges. Overall, she shows great promise as an emerging researcher with a unique combination of skills and experiences.

Assist Prof Dr Pelin Canbay | Artificial Intelligence | Best Researcher Award |

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Assist Prof Dr. Pelin Canbay | Artificial Intelligence | Best Researcher Award

Kahramanmaras Sutcu Imam University, Turkey

Professional Profiles:

SCOPUS

ORCID

 👨‍🎓 Bio Summary:

Assist. Prof. Dr. Pelin Canbay is a dedicated researcher and educator in computer engineering, currently serving at Kahramanmaraş Sütçü İmam University. She holds a Ph.D. in computer science, with her research focusing on artificial intelligence, machine learning, and privacy-preserving technologies. Dr. Canbay has contributed significantly to fields such as authorship verification, privacy-sensitive AI systems, and healthcare applications. With numerous publications in prestigious international journals, she is recognized for her interdisciplinary approach to solving complex problems. In addition to her research, she actively mentors graduate students and plays a key role in university administration, contributing to both academic governance and quality assurance.

🎓 Educational Background:

Assist. Prof. Dr. Pelin Canbay earned her Ph.D. in 2020 with a thesis focused on author-independent authorship verification systems, building on her master’s thesis (2015) in the area of anonymity and data-sharing models for healthcare services. She completed her Bachelor’s degree in 2011 and has since developed a strong foundation in computer science, particularly in theoretical frameworks of computer engineering.

🔍 Research Focus:

Dr. Canbay’s research spans multiple areas, including artificial intelligence, machine learning, privacy-preserving technologies, and authorship verification. She has contributed significantly to applying AI in healthcare, privacy systems, and language processing, particularly in low-resource environments. Her work bridges the gap between technical innovation and practical applications, as seen in projects like privacy-sensitive AI for COVID-19 detection and big data architectures for author verification.

🏆 Honors & Awards:

Throughout her academic journey, Dr. Canbay has received recognition for her research efforts and contributions. She has led and participated in national research projects funded by higher education institutions, demonstrating her leadership and commitment to advancing knowledge in AI and data privacy.

💼 Professional Experience:

Dr. Canbay currently serves as an Assistant Professor at Kahramanmaraş Sütçü İmam University, where she also held a research assistant position from 2020 to 2022. Before that, she was a research assistant at Hacettepe University from 2012 to 2020. Her administrative roles include membership in the Quality Council and various commissions within the university’s Engineering Faculty, showcasing her active involvement in academic governance and quality assurance.

📚 Top Noted Publications :

Privacy Concerns and Measures in the Metaverse: A Review
Authors: Y. Canbay, A. Utku, P. Canbay
Citation: 2022 15th International Conference on Information Security and Cryptography
Index: 32
Year of Publication: 2022

The Effect of Clustering on Data Privacy
Authors: P. Canbay, H. Sever
Citation: 2015 IEEE 14th International Conference on Machine Learning and Applications
Index: 18
Year of Publication: 2015

Endüstri 5.0’a Doğru: Zeki Otonom Sistemlerde Etik ve Ahlaki Sorumluluklar
Authors: P. Canbay, Z. Demircioglu
Citation: AJIT-e: Bilişim Teknolojileri Online Dergisi, 12(45), 106-123
Index: 13
Year of Publication: 2021

Hate Speech and Offensive Content Identification with Graph Convolutional Networks
Authors: N. Bölücü, P. Canbay
Citation: FIRE (Working Notes), 44-51
Index: 11
Year of Publication: 2021

Deep Combination of Stylometry Features in Forensic Authorship Analysis
Authors: P. Canbay, E. Akcapinar Sezer, H. Sever
Citation: International Journal of Information Security Science, 9(3), 154-163
Index: 6
Year of Publication: 2020

Conclusion:

Pelin Canbay demonstrates strong qualifications for consideration in the Best Researcher Award. Her prolific publications, leadership in research projects, and interdisciplinary approach highlight her potential to make significant contributions to computer science and engineering. However, there is room for growth in international visibility, high-impact collaborations, and expanding the global reach of her research. If she continues to build on her current trajectory while addressing these areas for improvement, Canbay would be a strong candidate for future recognition as a leading researcher.

Assoc Prof Dr MojtabaFathi | Structural Engineering | Best Researcher Award |

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Assoc Prof Dr. MojtabaFathi | Structural Engineering | Best Researcher Award.

Razi University,Iran

Professional Profiles:

SCOPUS

ORCID 

GOOGLE SCHOLAR 

👨‍🎓 Bio Summary:

Assoc. Prof. Dr. Mojtaba Fathi is a distinguished structural engineer and an Associate Professor at the Engineering Faculty of Razi University. With extensive experience in civil and structural engineering, he has made significant contributions to both academic and professional fields. His expertise spans from advanced concrete technology to seismic engineering, and he has been instrumental in guiding numerous doctoral and master’s students through their research projects.

🎓 Education:

Dr. Fathi holds a Ph.D. in Structural (Civil) Engineering from Tarbiat Modares University, completed in 2003. He also undertook a supplementary sabbatical course at The University of Newcastle, Australia, in 2002. His academic journey began with a B.Sc. in Civil Engineering in 1975, followed by a Master’s degree in Structural (Civil) Engineering in 1997, both from Tarbiat Modares University.

🔍 Research Focus:

Dr. Fathi’s research interests are diverse and impactful, focusing on the nonlinear dynamic analysis of steel and concrete structures, composite materials and polymers, and modern material technology. He is particularly interested in the behavior of structures with seismic isolation, the application of energy dissipaters, shape memory alloy dampers, artificial intelligence, and neural networks in structural engineering. His work also extends to precast structures, semi-rigid joints, and steel plate shear walls.

🏆 Honors & Awards:

Throughout his career, Dr. Fathi has been recognized for his contributions to civil engineering and structural research. He has edited three influential books in the field and published dozens of papers in both national and international journals. He has also led over ten significant research projects addressing the needs of his country and region.

Professional Experience: 💼

Dr. Fathi has held several notable positions, including Secretary of the First National Conference on the Role of Civil Engineering in Risk Reduction, Director of the Technical Office at Razi University, and Manager of the Structure Department at the Iran Technical and Vocational Training Organization (IRTVTO). His consulting expertise has been sought by Kermanshah Municipality, the Housing Foundation of Islamic Revolution, and various engineering consulting firms.

📚 Top Noted Publications :

Title: Effects of Fly Ash and TiO2 Nanoparticles on Rheological, Mechanical, Microstructural, and Thermal Properties of High Strength Self-Compacting Concrete
Authors: M. Jalal, M. Fathi, M. Farzad
Journal: Mechanics of Materials
Citation Index: 256
Year of Publication: 2013

Title: Mechanical and Physical Properties of Expanded Polystyrene Structural Concretes Containing Micro-silica and Nano-silica
Authors: M. Fathi, A. Yousefipour, E.H. Farokhy
Journal: Construction and Building Materials
Citation Index: 70
Year of Publication: 2017

Title: A Method for Determining the Behaviour Factor of Moment-Resisting Steel Frames with Semi-Rigid Connections
Authors: M. Fathi, F. Daneshjoo, R.E. Melchers
Journal: Engineering Structures
Citation Index: 38
Year of Publication: 2006

Title: Numerical Analysis of Natural Rubber Bearing Equipped with Steel and Shape Memory Alloys Dampers
Authors: J. Sheikhi, M. Fathi, R. Rahnavard, R. Napolitano
Journal: Structures
Citation Index: 36
Year of Publication: 2021

Title: Natural Rubber Bearing Incorporated with High Toughness Steel Ring Dampers
Authors: J. Sheikhi, M. Fathi, R. Rahnavard
Journal: Structures
Citation Index: 33
Year of Publication: 2020

Author Metrics 📊 : 

Dr. Fathi’s scholarly impact is evident through his extensive publication record and the significant number of citations his work has received. His contributions to the fields of structural and civil engineering are well-recognized by peers and academic institutions.

📅 Research Timeline:

Over the years, Dr. Fathi has progressively advanced in his research, beginning with his early work in concrete technology and expanding into complex areas such as seismic isolation and smart materials. His research timeline reflects a dedication to addressing contemporary challenges in structural engineering through innovative solutions.

Mr Shashishekhar Ramagundam | Artificial Intelligence | Excellence in Research Award |

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Mr. Shashishekhar Ramagundam | Artificial Intelligence | Excellence in Research Award.

Comcast,United States

Professional Profiles:

ORCID 

GOOGLE SCHOLAR 

👨‍🎓 Bio Summary:

Mr. Shashishekhar Ramagundam is a Senior Software Engineer at Comcast, based in Washington, DC. With a robust background in computer science and extensive experience in artificial intelligence, machine learning, and IT infrastructure, Shashishekhar has significantly contributed to optimizing cable TV and broadband networks. He holds a Master’s degree in Computer Science from Troy University, Montgomery, AL.

🎓 Education:

Mr. Shashishekhar Ramagundam completed his Master’s in Science with a major in Computer Science from Troy University, Montgomery, AL, in May 2014. His academic foundation laid the groundwork for his specialized skills in AI, machine learning, and computer architecture.

🔍 Research Focus:

His primary research areas include artificial intelligence, machine learning, deep learning, computer architecture, and IT infrastructure. His work is particularly focused on enhancing service quality and predicting network performance in broadband and cable TV networks using AI-driven approaches.

🏆 Honors & Awards:

Throughout his career, Shashishekhar has received recognition for his innovative contributions to the field, including securing patents and publishing influential books on IoT security and the role of AI in optimizing network services.

Professional Experience: 💼

Shashishekhar currently serves as a Senior Software Engineer at Comcast, Washington, DC, a position he has held since July 2016. Prior to this, he worked with IQVIA in Cambridge, MA, from December 2014 to June 2016, and with Raas Infotek in Newark, Delaware, from May 2014 to October 2014. His roles have consistently involved developing high-performance solutions in IT and network management.

📚 Top Noted Publications :

Title: Design and Implementation of High-Performance Master/Slave Memory Controller with Microcontroller Bus Architecture

Author: S. Ramagundam, S.R. Das, S. Morton, S.N. Biswas, V. Groza, M.H. Assaf

Cited By: 14

Index: 2014 IEEE International Instrumentation and Measurement Technology

Year of Publish: 2014

 

Title: Next Gen Linear TV: Content Generation and Enhancement with Artificial Intelligence

Author: S. Ramagundam

Cited By: 9

Index: International Neurourology Journal 25 (4), 22-28

Year of Publish: 2021

 

Title: AMBA-Based AHB Master/Slave Memory Controller Design

Author: S. Ramagundam, S.R. Das, S.N. Biswas, S. Morton, M.H. Assaf, I. Ozkarahan

Cited By: 8

Index: Transformative Science and Engineering, Business and Social Innovation, 23

Year of Publish: 2013

 

Title: Improving Service Quality with Artificial Intelligence in Broadband Networks

Author: S. Ramagundam

Cited By: 6

Index: International Neurourology Journal 27 (4), 1406-1414

Year of Publish: 2023

 

Title: AI-Driven Real-Time Scheduling for Linear TV Broadcasting: A Data-Driven Approach

Author: S. Ramagundam

Cited By: 6

Index: International Neurourology Journal 26 (3), 20-25

Year of Publish: 2022

Author Metrics 📊 : 

Shashishekhar’s work is well-recognized in the academic community, reflected in his citations and contributions on platforms like Google Scholar and ResearchGate. His research impacts are documented in various peer-reviewed journals and conference proceedings.

📅 Research Timeline:

2014: Published conference paper on memory controller design.

2014: Graduated with a Master’s in Computer Science from Troy University.

2014-2016: Worked at Raas Infotek and IQVIA, focusing on AI and IT infrastructure.

2016-Present: Senior Software Engineer at Comcast, Washington, DC.

2021: Published books on IoT security and AI in network optimization.

2022: Awarded a patent for cyber-attack detection in medical IoT.

Assoc Prof Dr Sultan Khan | Computer vision | Best Researcher Award |

Posted on by ScienceFather

Assoc Prof Dr. Sultan Khan | Computer vision | Best Researcher Award.

National University of Technology,Pakistan

Professional Profiles:

ORCID

SCOPUS

GOOGLE SCHOLAR 

👨‍🎓 Bio Summary:

Sultan Daud Khan is an accomplished researcher and academic, currently serving as the Acting Principal of the Nutech School of Information Technology in Pakistan since May 2024. He is also an Associate Professor and Acting Head of Department at the National University of Technology in Islamabad, Pakistan, a position he has held since October 2019.

🎓 Education:

Dr. Khan’s academic journey includes a Ph.D. in Computer Science from the University of Milano-Bicocca in Italy (2013–2016). He earned his MSc in Electronics and Communication Engineering from Hanyang University in South Korea (2008–2008) and completed his BSc in Computer System Engineering from the University of Engineering and Technology in Peshawar, Pakistan (2001–2005).

🔍 Research Focus:

Dr. Khan’s research interests are diverse and include artificial intelligence, image processing, video watermarking, EEG/brain signal analysis, human action recognition, computer vision algorithms on FPGAs, and embedded systems design. His work aims to advance knowledge and practical applications in these areas, contributing significantly to the field.

🏆 Honors & Awards:

In 2023, Dr. Khan was recognized as one of the world’s top 2% of scientists in the field of Artificial Intelligence according to Stanford University’s ranking index. This prestigious recognition underscores his significant contributions and impact in his field of expertise.

Professional Experience: 💼

Dr. Khan has held several key positions throughout his career. He is the Acting Principal of the Nutech School of Information Technology in Pakistan since May 2024 and has been an Associate Professor and Acting Head of Department at the National University of Technology in Islamabad since October 2019. His roles have involved significant academic leadership and research responsibilities.

📚 Top Noted Publications :

Detecting Drones Using Deep Convolutional Neural Networks

Authors: M. Saqib, S.D. Khan, N. Sharma, M. Blumenstein
Conference: 2017 14th IEEE International Conference on Advanced Video and Signal Based
Year: 2017
Citations: 206

A Survey of Advances in Vision-Based Vehicle Re-Identification

Authors: S.D. Khan, H. Ullah
Journal: Computer Vision and Image Understanding
Year: 2019
Citations: 161

Internal Emotion Classification Using EEG Signal with Sparse Discriminative Ensemble

Authors: H. Ullah, M. Uzair, A. Mahmood, M. Ullah, S.D. Khan, F.A. Cheikh
Journal: IEEE Access
Year: 2019
Citations: 125

Stacked LSTM Network for Human Activity Recognition Using Smartphone Data

Authors: M. Ullah, H. Ullah, S.D. Khan, F.A. Cheikh
Conference: 2019 8th European Workshop on Visual Information Processing (EUVIP)
Year: 2019
Citations: 117

Scale Driven Convolutional Neural Network Model for People Counting and Localization in Crowd Scenes

Authors: S. Basalamah, S.D. Khan, H. Ullah
Journal: IEEE Access
Year: 2019
Citations: 69

Analyzing Crowd Behavior in Naturalistic Conditions: Identifying Sources and Sinks and Characterizing Main Flows

Authors: S.D. Khan, S. Bandini, S. Basalamah, G. Vizzari
Journal: Neurocomputing
Year: 2016
Citations: 67

Author Metrics 📊 : 

Dr. Khan’s author metrics highlight his research impact, with numerous citations and high h-index scores that demonstrate his influence and recognition in the scientific community. His contributions have been acknowledged globally, enhancing his reputation as a leading researcher in his fields of interest.

📅 Research Timeline:

Dr. Khan’s research timeline showcases his continuous and progressive contributions to various domains of computer science and engineering. From his early work in embedded systems to his current focus on artificial intelligence and brain signal analysis, his research has evolved and expanded, reflecting his dedication to advancing technology and knowledge.