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 Sultan Khan | Computer vision | Best Researcher Award |

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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.

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

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

Sri Balaji University,India

Professional Profiles:

SCOPUS

GOOGLE SCHOLAR 

ORCID

👨‍🎓 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 |

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

RMK College of Engineering and Technology, India

Professional Profiles:

SCOPUS

GOOGLE SCHOLAR

👨‍🎓 Bio Summary:

Dr. Josephin Shermila P is an Associate Professor committed to fostering academic excellence and innovation within a renowned institution. With a Ph.D. in Image Protein Prediction from Anna University, Chennai, her educational journey encompasses a strong foundation in Electronics and Communication Engineering

🎓 Education:

Dr. Josephin Shermila P has a diverse educational background, culminating in her expertise in Image Protein Prediction. She obtained her Ph.D. in Image Protein Prediction from Anna University, Chennai, in July 2021, showcasing her commitment to advancing knowledge in this specialized field. Prior to her doctoral studies, Dr. Shermila completed her Bachelor’s degree in Electronics and Communication Engineering from Noorul Islam College of Engineering, Kumaracoil, in April 2005, where she achieved a remarkable 75.2% with Distinction. This solid foundation in engineering laid the groundwork for her future academic pursuits. Dr. Shermila furthered her education by completing a Master’s degree in Computer and Communication Engineering from National Engineering College, Kovilpatti, in June 2007, further enhancing her skills and knowledge in the field. Her educational journey has been marked by a consistent pursuit of excellence, reflecting her dedication to academic and professional growth.

🔍 Research Focus:

Her research focus revolves around Image Protein Prediction, specializing in using linear regression and deep learning techniques to estimate protein from images of health drink powders. This dedication to cutting-edge research has led to impactful contributions in her field.

👩‍💼 Professional Journey:

In her professional journey, Dr. Shermila has accrued 14 years and 24 days of experience in the engineering college sector. Currently serving as an Associate Professor at RMK College of Engineering and Technology since August 11, 2021, she has held significant roles in institutions such as Arunachala College of Engineering for Women, Sathyam College of Engineering, and CAPE Institute of Technology.

🏆 Honors & Awards:

Throughout her career, Dr. Shermila has been recognized for her excellence, earning several honors and awards for her contributions to academia and research. Her commitment to advancing student learning and institutional goals has garnered acclaim within academia and the industry.

Professional Experience: 💼

Dr. Josephin Shermila P has accumulated a wealth of experience in the engineering college sector, totaling 14 years and 24 days. Her professional journey began as a Lecturer at the CAPE Institute of Technology in January 2007, where she taught and mentored students for a brief period. Subsequently, she transitioned to a role as an Assistant Professor at Sathyam College of Engineering in November 2010, where she continued to impart knowledge and contribute to the academic environment until July 2011.

📚 Top Noted Publications :

Smart office automation via faster R-CNN based face recognition and internet of things
Authors: G Rajeshkumar, M Braveen, R Venkatesh, PJ Shermila, BG Prabu, …
Published in Measurement: Sensors 27, 100719 in 2023.

Estimation of protein from the images of health drink powders
Authors: PJ Shermila, A Milton
Published in Journal of Food Science and Technology 57 (5), 1887-1895 in 2020.

Self-diagnosis platform via IOT-based privacy preserving medical data
Authors: G Muneeswari, SS Varun, R Hegde, SS Priya, PJ Shermila, A Prasanth
Published in Measurement: Sensors 25, 100636 in 2023.

Automatic Segmentation of Lung Tumor from X-ray Images using Advance Novel Semantic Approach
Authors: V Rani K, A Jerome S, J Shermila P, LK Shoba, ME Prince
Published in IETE Journal of Research in 2021.

DEEPFIC: food item classification with calorie calculation using dragonfly deep learning network
Authors: PJ Shermila, A Ahilan, M Shunmugathammal, J Marimuthu
Published in Signal, Image and Video Processing, 1-9 in 2023.

Accident detection using Automotive Smart Black-Box based Monitoring system
Authors: BV P. Josephinshermila, S. Sharon priya, K. Malarvizhi, Ramakrishna hegde …
Published in Measurement: Sensors 27 in 2023.

Author Metrics 📊 : 

Author metrics underscore the influence of Dr. Shermila’s work, with her publications receiving substantial citations and recognition within the academic community

📅 Research Timeline:

Her research timeline showcases her progression and contributions, reflecting her growth and expertise over the years.