Tag: AIInnovation

👨‍🎓 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.

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

Posted on 12/07/202412/07/2024 by ScienceFather

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

Comcast,United States

Professional Profiles:

👨‍🎓 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 15/05/202415/05/2024 by ScienceFather

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

National University of Technology,Pakistan

Professional Profiles:

👨‍🎓 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.

Dr Shashi Kant Tiwari | Artificial Intelligence | Best Researcher Award |

Posted on 11/05/202411/05/2024 by ScienceFather

Dr. Shashi Kant Tiwari | Artificial Intelligence | Best Researcher Award.

Sri Balaji University,India

Professional Profiles:

👨‍🎓 Bio Summary:

Dr. Shashi Kant Tiwari is a Senior Assistant Professor at Balaji Institute of Modern Management, Sri Balaji University, Pune, India. He holds a Ph.D. from the Indian Institute of Technology (Indian School of Mines) Dhanbad, with a research focus on acoustics, environmental noise, artificial intelligence, machine learning, composite materials, and psychoacoustics.

🎓 Education:

Dr. Shashi Kant Tiwari completed his Ph.D. in Acoustics, Environmental Noise, Artificial Intelligence, Machine Learning, Composite Materials, and Psychoacoustics from the Indian Institute of Technology (Indian School of Mines) Dhanbad, India. He also holds an M.Tech. from VIT University, Vellore, and a B.Tech from Lingayas University.

🔍 Research Focus:

Dr. Tiwari’s research focuses on noise assessment, occupational health and safety, machine learning, deep learning, acoustics, vibration, artificial intelligence, and statistical analysis. His work includes projects on environmental noise annoyance prediction, development of e-learning systems, and intelligent IoT-based ambient noise pollution monitoring.

🏆 Honors & Awards:

Dr. Tiwari has been recognized as a GATE Qualified candidate and has received the MHRD Scholarship during his Ph.D. program. He is also a reviewer for journals such as Noise Control Engineering Journal and Environmental Science and Pollution Research.

Professional Experience: 💼

With a wealth of experience in academia and research, Dr. Tiwari currently serves as a Senior Assistant Professor at Balaji Institute of Modern Management, Sri Balaji University, Pune, India. Previously, he held research and teaching assistantships at IIT (ISM) Dhanbad.

📚 Top Noted Publications :

Title: An auto-encoder based LSTM model for prediction of ambient noise levels
Cited By: 15
Year: 2022

Title: Dynamic characteristics of a honeycomb sandwich beam made with jute/epoxy composite skin
Cited By: 14
Year: 2020

Title: 5G NR Voice Call EPS Fallback Enhancements
Cited By: 12
Year: 2021

Title: Comparison of SVM and ARIMA model in time-series forecasting of ambient noise levels
Cited By: 9
Year: 2022

Title: Accuracy of short-term noise monitoring strategy in comparison to long-term noise monitoring strategy
Cited By: 7
Year: 2021

Author Metrics 📊 :

Dr. Tiwari’s research has garnered attention, with several of his papers published in SCI/Scopus indexed journals and cited by his peers. His expertise in noise prediction, deep learning techniques, and environmental acoustics has contributed to the advancement of knowledge in these areas.

📅 Research Timeline:

Dr. Tiwari’s journey in research began during his Ph.D. program at IIT (ISM) Dhanbad, where he investigated long-term and short-term noise monitoring strategies for noise impact assessment in urban and mining environments. Since then, he has continued to explore novel approaches to noise prediction, environmental monitoring, and machine learning applications in acoustics.

Dr Josephin Shermila P | Artificial Intelligence | Best Researcher Award |

Posted on 19/02/202419/02/2024 by ScienceFather

Dr. Josephin Shermila P, Artificial Intelligence, Best Researcher Award.

RMK College of Engineering and Technology, India

Professional Profiles: