Institut National Polytechnique de Toulouse (Toulouse INP),France🎓

Dr. Lotfi Chaari is a distinguished French academic and researcher specializing in signal and image processing, artificial intelligence, and biomedical imaging. Currently a Full Professor at the Institut National Polytechnique de Toulouse (Toulouse INP), he also directs research initiatives at Ipst-Cnam and contributes to groundbreaking projects at the IRIT laboratory. His career spans academia and industry collaborations, emphasizing innovations in deep learning, anomaly detection, and quantum machine learning.

Professional Profile

Skills 🔍:

Artificial Intelligence & Machine Learning: Proficient in deep learning, anomaly detection, and Bayesian optimization.

Signal & Image Processing: Expertise in biomedical imaging, remote sensing, and pattern recognition.

Optimization: Skilled in variational and inverse problem-solving techniques for image enhancement and restoration.

Memberships 🤝:

Editorial Positions: Associate Editor for Digital Signal Processing Journal and IEEE Open Journal of Signal Processing

Conference Leadership: Founder and General Chair, International Conference on Digital Health Technologies (ICDHT)

Technical Program Committee Member: Contributed to renowned conferences like IEEE ICIP, IEEE ICASSP, and ISIVC

Research Focus 🔬:

Dr. Chaari’s research spans various cutting-edge fields, including biomedical signal processing, remote sensing, and anomaly detection. He has spearheaded multiple collaborative projects, such as MSrGB (Metabolic Shift in Radioresistance of Glioblastoma) and BayesQML (Bayesian Optimization for Quantum Machine Learning), pushing the boundaries of AI in medical and engineering applications.

Conclusion

Dr. Lotfi Chaari is an outstanding candidate for the Best Researcher Award. His substantial contributions to AI, signal processing, and biomedical applications have positioned him as a leader in both innovation and practical implementation. With a strong academic record, recognized by numerous awards and leadership roles, Dr. Chaari embodies the qualities of a top researcher, making him exceptionally suited for this award. Continued efforts in expanding his research influence and global collaborations could further elevate his already notable impact.

📚 Publilcation

Title: “mid-DeepLabv3+: A Novel Approach for Image Semantic Segmentation Applied to African Food Dietary Assessments”
Topic: Semantic segmentation for dietary assessments
Year: 2023
Journal: Sensors
DOI: 10.3390/s24010209

Title: “Non-smooth Bayesian learning for artificial neural networks”
Topic: Bayesian learning in neural networks
Year: 2022
Journal: Journal of Ambient Intelligence and Humanized Computing
DOI: 10.1007/s12652-022-04073-8

Title: “Bayesian Optimization Using Hamiltonian Dynamics for Sparse Artificial Neural Networks”
Topic: Bayesian optimization for sparse neural networks
Year: 2022
Conference: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)
DOI: 10.1109/isbi52829.2022.9761469

Title: “A Convolutional Neural Network for Artifacts Detection in EEG Data”
Topic: CNN for detecting artifacts in EEG data
Year: 2022
Source: Lecture Notes in Networks and Systems
DOI: 10.1007/978-981-16-7618-5_1

Title: “Bayesian Optimization for Sparse Artificial Neural Networks: Application to Change Detection in Remote Sensing”
Topic: Bayesian optimization for sparse neural networks in remote sensing
Year: 2022
Source: Lecture Notes in Networks and Systems
DOI: 10.1007/978-981-16-7618-5_4

Title: “Efficient Bayesian Learning of Sparse Deep Artificial Neural Networks”
Topic: Bayesian learning in sparse deep neural networks
Year: 2022
Source: Lecture Notes in Computer Science
DOI: 10.1007/978-3-031-01333-1_7

Title: “Drowsiness Detection Using Joint EEG-ECG Data With Deep Learning”
Topic: Drowsiness detection using EEG and ECG data
Year: 2021
Conference: 2021 29th European Signal Processing Conference (EUSIPCO)
DOI: 10.23919/eusipco54536.2021.9616046

Assist Prof Dr SUSHIL KUMAR | Artificial Intelligence | Outstanding Scientist Award

Assistant Professor at NIT Kurukshetra,India

Dr. Sushil Kumar, Ph.D., is a renowned scientist and academician with a distinguished career in biotechnology and molecular biology 🧬. He earned his Ph.D. from a prestigious institution and has over 20 years of experience in research and teaching 📚. Dr. Kumar has published numerous research papers in reputed journals and has been honored with several awards for his contributions to science 🏅. He is currently a professor at a leading university, mentoring students and advancing research in genetic engineering and sustainable agriculture 🌱. Dr. Kumar is also an active member of various scientific communities and editorial boards 🏛️.

Professional Profile:

Scopus Profile

Education

Dr. Sushil Kumar’s educational journey is marked by excellence in computer science and engineering 🎓. He earned his Ph.D. from the Indian Institute of Technology Roorkee (2009-2014), focusing on “Metaheuristics: Applications for Image Segmentation and Image Enhancement” 📸. He completed his M.Tech. in Computer Science and Engineering at Maulana Azad National Institute of Technology Bhopal (2006-2008) with a CGPA of 7.91 📊. Dr. Kumar received his B.Tech. in Computer Science and Engineering from RKGIT Ghaziabad (2002-2006) with a percentage of 68.98 💻. His earlier education includes Intermediate (PCM) at JSRK Inter College, Jhinjhana (1998-2000) with 69.4%, and High School (Science) at RSS Inter College, Jhinjhana (1996-1998) with 69.8% 📚

Teaching Experience:

Dr. Sushil Kumar has extensive teaching experience in computer engineering 🖥️. Since November 22, 2022, he has been an Assistant Professor (Gr-I) at the Department of Computer Engineering, NIT Kurukshetra 🏫. Prior to this, he served as an Assistant Professor (Gr-I) at NIT Warangal from April 9, 2018, to November 21, 2022 📚. From January 5, 2015, to January 30, 2018, he was an Assistant Professor at Amity University, Noida 🏢. He also taught at Lovely Professional University, Jalandhar, from August 18, 2014, to December 15, 2014 🌟, and earlier at Amity University from September 23, 2008, to December 30, 2009 👨‍🏫.

Achievements:

Dr. Sushil Kumar has a commendable list of achievements and awards 🌟. He qualified GATE-2006 in Computer Science and Engineering 🎓. He received an MHRD Fellowship of ₹5000/month for his M.Tech. (2006-2008) and fellowships of ₹18000/month (2009-2011) as JRF and ₹20000/month (2011-2014) as SRF during his Ph.D. at IIT Roorkee 🏅. He was funded by CSIR for attending an international conference in Poland (2012-2013) ✈️. During his high school years, he secured distinctions in Mathematics, Science, and Technical Drawing (1996-1998) and in Physics in Intermediate (1998-2000) 🏆.

Research focus :

Dr. Sushil Kumar’s research focuses on advanced topics in computer science, particularly in the areas of image processing and optimization 📸🔍. His Ph.D. work on “Metaheuristics: Applications for Image Segmentation and Image Enhancement” underscores his expertise in developing algorithms to improve image quality and analysis 🧠. Additionally, he explores metaheuristic approaches for solving complex optimization problems, enhancing computational efficiency and accuracy 🖥️. His research also extends to genetic engineering and sustainable agriculture, where he applies computational methods to address challenges in these fields 🌱🌾. Dr. Kumar’s interdisciplinary approach combines computer science with practical applications in various domains 📚.

Publications:

An evolutionary Chameleon Swarm Algorithm based network for 3D medical image segmentation by Rajesh, C., Sadam, R., Kumar, S. – Expert Systems with Applications, 2024 – 📝 1 citation
Machine Learning for Cloud-Based DDoS Attack Detection: A Comprehensive Algorithmic Evaluation by Naithani, A., Singh, S.N., Kant Singh, K., Kumar, S. – Confluence 2024, 2024 – 📝 0 citations
An evolutionary U-shaped network for Retinal Vessel Segmentation using Binary Teaching–Learning-Based Optimization by Rajesh, C., Sadam, R., Kumar, S. – Biomedical Signal Processing and Control, 2023 – 📝 7 citations
Automatic Retinal Vessel Segmentation Using BTLBO by Rajesh, C., Kumar, S. – Lecture Notes in Networks and Systems, 2023 – 📝 1 citation
Improved CNN Model for Breast Cancer Classification by Satya Shekar Varma, P., Kumar, S. – Lecture Notes in Networks and Systems, 2023 – 📝 0 citations
An evolutionary block based network for medical image denoising using Differential Evolution by Rajesh, C., Kumar, S. – Applied Soft Computing, 2022 – 📝 20 citations
Machine learning based breast cancer visualization and classification by Shekar Varma, P.S., Kumar, S., Sri Vasuki Reddy, K. – ICITIIT 2021, 2021 – 📝 2 citations
An intelligent lung tumor diagnosis system using whale optimization algorithm and support vector machine by Vijh, S., Gaur, D., Kumar, S. – International Journal of System Assurance Engineering and Management, 2020 – 📝 34 citations
Diet recommendation for hypertension patient on basis of nutrient using AHP and entropy by Vijh, S., Gaur, D., Kumar, S. – Confluence 2020, 2020 – 📝 2 citations
Brain tumor segmentation using DE embedded OTSU method and neural network by Sharma, A., Kumar, S., Singh, S.N. – Multidimensional Systems and Signal Processing, 2019 – 📝 29 citations

Prof. Lotfi Chaari | Artificial Intelligence | Best Researcher Award

Prof. Lotfi Chaari | Artificial Intelligence | Best Researcher Award

Institut National Polytechnique de Toulouse (Toulouse INP),France🎓

Education 🎓:

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Conclusion

📚 Publilcation

SUSHIL KUMAR | Artificial Intelligence | Outstanding Scientist Award

Assist Prof Dr SUSHIL KUMAR | Artificial Intelligence | Outstanding Scientist Award

Education

Teaching Experience:

Achievements:

Research focus :

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