Dr GEETHA M | Artificial Intelligence | Excellence in Research Award |

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Dr. GEETHA M | Artificial Intelligence | Excellence in Research Award |

S.A Engineering College,India

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR

 👨‍🎓 Bio Summary:

Dr. Geetha M is an accomplished academic professional with over 26 years of experience in teaching, research, and leadership roles in engineering education. A visionary educator, she is committed to fostering academic excellence, mentoring faculty, and driving innovative research. Dr. Geetha’s expertise spans computer science and engineering, with a focus on cutting-edge areas of technology. She is also an active member of several prestigious professional organizations, reflecting her dedication to the advancement of the academic community.

🎓 Educational Background:

Dr. Geetha holds a Ph.D. in Computer Science & Engineering from Anna University, Chennai (2015), where she specialized in advanced computational methodologies. She completed her Master of Engineering (M.E.) in Computer Science & Engineering from Sathyabama Institute of Science and Technology, Chennai, in 2006 with distinction, and a Bachelor of Engineering (B.E.) in Computer Science & Engineering from Periyar Maniammai College of Technology for Women, Thanjavur, in 1997. Additionally, she earned a P.G. Diploma in E-Commerce from Madurai Kamaraj University in 2002.

🔍 Research Focus:

Dr. Geetha’s research interests include computer vision, artificial intelligence, and data-driven technologies, emphasizing their applications in academia and industry. Her work aims to address real-world challenges through innovative computational approaches and has been disseminated through multiple indexed academic platforms, including Scopus and Web of Science.

🏆 Honors & Awards:

Dr. Geetha has received several accolades for her contributions to academia and research. She was honored with the Award of Excellence in Research (2022-23) by Novel Research Academy and the Best Professor Award (2018) for her exceptional work in teaching and research. As the Head of Department, she received the Best Student Branch Award from CSI for conducting exemplary academic activities in 2017-18 and 2018-19.

 

💼 Professional Experience:

With a career spanning over two decades, Dr. Geetha has served in various roles, including Professor, Head of Department, and Associate Professor at leading institutions such as S.A. Engineering College, Chennai Institute of Technology, and Saveetha School of Engineering. Her leadership has been instrumental in driving departmental growth, curriculum design, and faculty development. She has also contributed significantly to fostering industry-academic collaborations and mentoring students for successful careers.

 

📚 Top Noted Publications :

Title: Classification and Regression Trees with Gini Index
Authors: T. Daniya, M. Geetha, K.S. Kumar
Citations: 136
Index: Advances in Mathematics: Scientific Journal
Year: 2020

Title: Least Square Estimation of Parameters for Linear Regression
Authors: T. Daniya, M. Geetha, B.S. Kumar, R. Cristin
Citations: 29
Index: International Journal of Control and Automation
Year: 2020

Title: Implementation of Text Recognition and Text Extraction on Formatted Bills Using Deep Learning
Authors: M. Geetha, R.C. Pooja, J. Swetha, N. Nivedha, T. Daniya
Citations: 24
Index: International Journal of Control and Automation
Year: 2020

Title: Anti-Theft and Tracking Mechanism for Vehicles Using GSM and GPS
Authors: M. Geetha, T. Priyadarshini, B. Sangeetha, S. Sanjana
Citations: 18
Index: Proceedings of the Third International Conference on Science Technology Engineering
Year: 2017

Title: Natural Language Processing-Based Disaster Management Framework
Authors: M. Geetha, S. Srinivasan, V. Raghavan, K. Venkatraman
Citations: 14
Index: Central Asian Journal of Medical and Natural Science
Year: 2023

Conclusion:

Dr. M. Geetha demonstrates significant strengths in teaching, leadership, and academic contributions. She is a viable candidate for the Research Excellence in Research Award, particularly if the award values teaching excellence and institutional service alongside research. However, to further solidify her candidacy, she should:

Present detailed metrics of her research impact.

Highlight the practical applications and societal impact of her work.

Emphasize any recent and ongoing high-profile projects or collaborations.

Overall, her profile reflects dedication to academic and research excellence, making her a strong contender for recognition.

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.

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.

Prof Ying Huang | Machina Learning | Best Researcher Award |

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Prof. Ying Huang | Machina Learning | Best Researcher Award.

Guangxi Eco-engineering Vocational And Technical College,China

Professional Profiles:

SCOPUS

ORCID

👨‍🎓 Bio Summary:

 Prof. Ying Huang is a distinguished academic with a diverse background in electronic information engineering and agricultural electrification and automation. He earned his B.S. degree from South China Agricultural University in 2004, followed by an M. Eng. in 2007. Currently serving as a Professor at Guangxi Eco-engineering Vocational and Technical College, his career spans a wide range of research interests and achievements.

🎓 Education:

Ying Huang completed his B.S. degree in electronic information engineering and pursued further studies, obtaining an M. Eng. in agricultural electrification and automation, both from South China Agricultural University, China.

🔍 Research Focus:

Prof. Huang’s research focuses on the intersection of technology and agriculture, particularly in the realms of big data, machine learning, intelligent control, and detection technology. His work explores innovative applications of electronic information to enhance agricultural practices.

🏆 Honors & Awards:

Prof. Huang has been recognized for his contributions to academia and research, though specific honors and awards may be detailed in his professional portfolio.

Professional Experience: 💼

With a wealth of experience in academia, Prof. Huang currently holds the position of Professor at Guangxi Eco-engineering Vocational and Technical College, where he contributes to both teaching and research endeavors.

📚 Top Noted Publications :

Title: Firm social management system for supporting IoT users in application environment

Authors: Huang, Y.

Journal: Journal of Network and Computer Applications, 2024, 224, 103840

Abstract: This article discusses a firm social management system designed to support IoT users in application environments. The link to the article and related documents is disabled, and it has not yet received any citations.

 

Title: BAS-ALSTM: analyzing the efficiency of artificial intelligence-based English translation system

Authors: Li, S., Huang, Y.

Journal: Journal of Ambient Intelligence and Humanized Computing, 2024, 15(1), pp. 765–777

Abstract: This study evaluates the efficiency of an artificial intelligence-based English translation system. The link to the article and related documents is disabled, and it has not yet received any citations.

 

Title: Design of Fruit-Carrying Monitoring System for Monorail Transporter in Mountain Orchard

Authors: Li, Z., Zhou, Y., Lyu, S., Yi, Y., Zhao, C.

Journal: Journal of Circuits, Systems and Computers, 2023, 32(15), 2350264

Abstract: This paper presents the design of a monitoring system for monitoring fruit-carrying monorail transporters in mountain orchards. The article is open access and has not yet received any citations.

 

Title: Improved SVM-Based Soil-Moisture-Content Prediction Model for Tea Plantation

Authors: Huang, Y.

Journal: Plants, 2023, 12(12), 2309

Abstract: This article presents an improved SVM-based prediction model for soil-moisture content in tea plantations. The article is open access and has received 1 citation.

 

Title: Design of a Cargo-Carrying Analysis System for Mountain Orchard Transporters Based on RGB-D Data

Authors: Li, Z., Zhou, Y., Zhao, C., Wen, W., Huang, Y.

Journal: Applied Sciences (Switzerland), 2023, 13(10), 6059

Abstract: This paper discusses the design of an analysis system for analyzing cargo-carrying mountain orchard transporters using RGB-D data. The article is open access and has not yet received any citations.

Author Metrics 📊 : 

Prof. Huang’s impact within his field can be measured through various author metrics, reflecting the influence and significance of his scholarly work.

📅 Research Timeline:

Over the years, Prof. Huang’s research trajectory has evolved, marked by milestones in academia and significant contributions to the advancement of knowledge in his areas of expertise.

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.