Assoc. Prof. Dr. Peixian Zhuang | Computer Science | Best Researcher Award

Associate Professor at University of Science and Technology Beijing, China 

Assoc. Prof. Dr. Peixian Zhuang is a distinguished researcher in computer vision, machine learning, and underwater image processing. Currently an Associate Professor at the University of Science and Technology Beijing, he earned his Ph.D. from Xiamen University in 2016. With over 50 published papers, including 9 ESI Highly Cited/Hot Papers and over 2800 Google Scholar citations, his work has garnered significant academic influence. Dr. Zhuang has led four national projects, holds six patents, and authored a book, showcasing his commitment to advancing technological innovation. His contributions have been recognized globally, as he was listed among the “World’s Top 2% Scientists” in 2023 and 2024. In addition to his research, he serves as an editor for various esteemed journals and has reviewed over 100 international journals and conferences. His collaborations with institutions like Tsinghua University further underscore his dedication to expanding the boundaries of AI and image processing.

Education

Assoc. Prof. Dr. Peixian Zhuang completed his Ph.D. in 2016 at Xiamen University, where he laid the foundation for his research expertise in computer vision, underwater image processing, and machine learning. Following his doctoral studies, he began his academic career as a Lecturer at Nanjing University of Information Science & Technology (2017-2020), where he further honed his skills and contributed to his fields of study. To deepen his research, Dr. Zhuang undertook postdoctoral training at Tsinghua University (2020-2022), engaging in advanced projects and expanding his expertise in innovative AI technologies. His educational journey has been marked by significant contributions to his field, earning him recognition as a “World’s Top 2% Scientist” in recent years. Dr. Zhuang’s robust academic background has established him as a leading researcher and educator, influencing both national and international advancements in machine learning and image processing.

Professional Experience

Conclusion

Peixian Zhuang’s profile makes him a strong candidate for the Best Researcher Award. His influential research, substantial publication record, recognition in global scientific rankings, and engagement in scholarly activities demonstrate his commitment and impact in the field of computer vision and underwater image processing. Addressing the outlined areas of improvement could enhance his profile further, positioning him as a leading researcher capable of impacting both academia and industry.

Publications top noted📜

• Title: A retinex-based enhancing approach for single underwater image
  Authors: X Fu, P Zhuang, Y Huang, Y Liao, XP Zhang, X Ding
  Year: 2014
  Citations: 566
• Title: Underwater image enhancement using a multiscale dense generative adversarial network
  Authors: Y Guo, H Li, P Zhuang
  Year: 2019
  Citations: 420
• Title: Underwater image enhancement via minimal color loss and locally adaptive contrast enhancement
  Authors: W Zhang, P Zhuang, HH Sun, G Li, S Kwong, C Li
  Year: 2022
  Citations: 373
• Title: Bayesian retinex underwater image enhancement
  Authors: P Zhuang, C Li, J Wu
  Year: 2021
  Citations: 255
• Title: Underwater image enhancement with hyper-laplacian reflectance priors
  Authors: P Zhuang, J Wu, F Porikli, C Li
  Year: 2022
  Citations: 250
• Title: Underwater image enhancement using an edge-preserving filtering retinex algorithm
  Authors: P Zhuang, X Ding
  Year: 2020
  Citations: 93
• Title: Underwater image enhancement via weighted wavelet visual perception fusion
  Authors: W Zhang, L Zhou, P Zhuang, G Li, X Pan, W Zhao, C Li
  Year: 2023
  Citations: 86
• Title: Removing stripe noise from infrared cloud images via deep convolutional networks
  Authors: P Xiao, Y Guo, P Zhuang
  Year: 2018
  Citations: 80
• Title: Underwater image enhancement via piecewise color correction and dual prior optimized contrast enhancement
  Authors: W Zhang, S Jin, P Zhuang, Z Liang, C Li
  Year: 2023
  Citations: 77
• Title: Non-uniform illumination underwater image restoration via illumination channel sparsity prior
  Authors: G Hou, N Li, P Zhuang, K Li, H Sun, C Li
  Year: 2023
  Citations: 54
• Title: CVANet: Cascaded visual attention network for single image super-resolution
  Authors: W Zhang, W Zhao, J Li, P Zhuang, H Sun, Y Xu, C Li
  Year: 2024
  Citations: 49
• Title: DewaterNet: A fusion adversarial real underwater image enhancement network
  Authors: H Li, P Zhuang
  Year: 2021
  Citations: 49
• Title: SSTNet: Spatial, spectral, and texture aware attention network using hyperspectral image for corn variety identification
  Authors: W Zhang, Z Li, HH Sun, Q Zhang, P Zhuang, C Li
  Year: 2022
  Citations: 45
• Title: Bayesian pan-sharpening with multiorder gradient-based deep network constraints
  Authors: P Guo, P Zhuang, Y Guo
  Year: 2020
  Citations: 41
• Title: GIFM: An image restoration method with generalized image formation model for poor visible conditions
  Authors: Z Liang, W Zhang, R Ruan, P Zhuang, C Li
  Year: 2022
  Citations: 37

Mr. Imtiaz Ahmad | Computer Science | Best Researcher Award

Visiting lecturer at Hazara University Mansehra, Pakistan

Imtiaz Ahmad, a dedicated researcher and educator from Pakistan, holds a Master’s degree in Computer Science from Hazara University, with a focus on wireless sensor networks. His thesis, titled “Adaptive and Priority-Based Data Aggregation and Scheduling Model for Wireless Sensor Networks,” reflects his expertise in optimizing data transmission for modern networks. Imtiaz has published research in reputable journals, including Knowledge-Based Systems and VFAST Transactions on Software, focusing on wireless sensor networks and mobile edge computing. With several years of teaching experience at institutions like Hazara University, he has mentored students and contributed to academic growth. His achievements include the Best Researcher Award and several student accolades. Additionally, he holds certifications like Microsoft Office Specialist and vocational training in computers. Imtiaz is a promising researcher with strengths in data aggregation, mobile computing, and teaching, and he continues to make valuable contributions to the field of computer science.

Education

Imtiaz Ahmad holds a Master’s degree in Computer Science from Hazara University Mansehra, which he completed in March 2021 with a commendable CGPA of 3.71/4.00. His master’s thesis focused on developing an “Adaptive and Priority-Based Data Aggregation and Scheduling Model for Wireless Sensor Networks,” showcasing his expertise in advanced computing concepts. Prior to this, he earned a Bachelor of Science in Information Technology from the University of Malakand in March 2015, achieving a CGPA of 2.95/4.00. His undergraduate thesis was centered on creating an “Online Hospital Management System,” which streamlined patient reservations and record management. Imtiaz also gained valuable experience through an internship at Hazara University, where he addressed technical issues related to system and application software. His educational background reflects a strong foundation in computer science and information technology, emphasizing both theoretical knowledge and practical application.

Professional Experience

Mr. Imtiaz Ahmad has accumulated valuable professional experience in academia and technical roles. Currently, he serves as a Visiting Lecturer at Hazara University Mansehra, where he is responsible for planning and delivering lectures, supervising final year projects, and assessing student progress. Previously, he held positions as a Computer Science Lecturer at Abaseen Public School and College and New Shaheen College of Commerce, where he implemented computer education programs and provided hands-on training in programming languages.

Additionally, during his internship at Hazara University, he gained practical experience in resolving technical issues, installing software, and setting up multimedia for national conferences. His diverse roles demonstrate his commitment to education and his ability to convey complex concepts to students, while also highlighting his technical skills in information technology. This blend of teaching and technical expertise positions him as a promising educator and researcher in the field of computer science.

Conclusion

Imtiaz Ahmad has demonstrated a solid academic and research profile with notable strengths in computer science, particularly in wireless sensor networks and mobile edge computing. His publications in respected journals, combined with his teaching and professional certifications, make him a strong contender for the Best Researcher Award. However, to further solidify his candidacy, he could focus on enhancing the visibility and impact of his research through broader collaborations and more high-impact publications. Overall, his achievements suggest that he is well-suited for the award and poised to make significant contributions to his field in the future.

Publications top noted📜

Dr. Ruotao Xu | Computer Science | Best Researcher Award

Associate Researcher at Institute of Super Robotics(Huangpu), China 

Ruotao Xu is a dedicated researcher specializing in robotics, computer vision, and image processing. As a Postdoctoral Researcher and Associate Researcher, he is at the forefront of exploring advanced techniques in deep learning and image analysis. 🚀

Education📚

Ruotao Xu earned his Ph.D. in Electrical Engineering, where he focused on image processing and robotics. His educational background provides a solid foundation for his research endeavors and contributions to the field. 🎓📚

Professional Experience🏛️

Currently serving as a Postdoctoral Researcher at the Institute of Robotics and Automatic Information Systems, Xu has led several significant research projects. His role includes managing projects funded by national and provincial science foundations and contributing to various high-impact publications. 🛠️📈

Research Interest🌐

Achievements🏅

• Principal Investigator for multiple high-profile projects funded by the National Natural Science Foundation of China. 🏆
• Lead Author on influential papers in top journals such as IEEE Transactions on Image Processing and IEEE/CVF International Conference on Computer Vision. 📜
• Innovator in Image Processing with a focus on deep learning, defocus deblurring, image inpainting, and texture representation. 🧠
• Received Grants from provincial and national science foundations for cutting-edge research projects. 💵
• Contributed to High-Impact Publications with significant citations, reflecting the impact of research on the field. 📚
• Collaborated with Leading Researchers and institutions, enhancing the reach and application of his research findings. 🤝

Publications top noted📜

Ms. Fouzia Elazzaby | Computer Science | Best Researcher Award

Docteur at Universite ibn tofail, Morocco

Education📚

Fouzia holds a Doctorate in Informatics from FSK UIT, Kénitra, completed in May 2023. She also has a Master’s degree in Informatics, Graphics, and Imaging (M3I) from FSDM, Fes, obtained in July 2012, and a Bachelor’s degree in Mathematics and Computer Science from the same institution, earned in July 2008. Her academic journey started with a Baccalaureate in Experimental Sciences in 2004. 🎓💻

Professional Experience🏛️

With over a decade of teaching experience, Fouzia has been an educator at the Office of Vocational Training and Employment Promotion since 2009. Additionally, she has served as a visiting professor at the Ecole Normale Supérieure de Fès and the Ecole Nationale des Sciences Appliquées de Fès. She also worked as a trainer at Atlas Engineering & Consulting Society, where she contributed her expertise in 2022-2023. 🧑‍🏫🏢

Research Interest🌐

Achievements🏅

• 🏅 Doctorate in Informatics: Earned in May 2023 from FSK UIT, Kénitra.
• 🖥️ Master’s Degree in Informatics, Graphics, and Imaging (M3I): Completed in July 2012 from FSDM, Fes.
• 📜 Bachelor’s Degree in Mathematics and Computer Science: Obtained in July 2008 from FSDM, Fes.
• 🧑‍🏫 Over a Decade of Teaching Experience: Teaching at the Office of Vocational Training and Employment Promotion since 2009.
• 🎓 Visiting Professor: Held positions at Ecole Normale Supérieure de Fès and Ecole Nationale des Sciences Appliquées de Fès.
• 🔐 Published Multiple Research Papers: Authored articles in reputable journals and conferences, focusing on advanced image encryption techniques.
• 📚 Contributed to Book Chapters: Co-authored chapters on encryption algorithms in well-regarded publications.
• 🗣️ Oral Presentations at International Conferences: Presented research findings at several prestigious conferences in Morocco and abroad.
• 💼 Trainer at Atlas Engineering & Consulting Society: Provided professional training in 2022-2023.
• 🌍 Multilingual: Fluent in Arabic, French, and English, enabling effective communication and collaboration across different regions.

Publications top noted📜

• 📝 A New Encryption Scheme for RGB Color Images by Coupling 4D Chaotic Laser Systems and the Heisenberg Group
  • Authors: Elazzaby, F., Akkad, N.E., Sabour, K., Kabbaj, S.
  • Year: 2024
  • Journal: Multimedia Tools and Applications
  • Citations: 4
• 📝 The Coupling of a Multiplicative Group and the Theory of Chaos in the Encryptions of Images
  • Authors: Elazzaby, F., Elakkad, N., Sabour, K.
  • Year: 2024
  • Journal: International Arab Journal of Information Technology
  • Citations: 1
• 📝 Color Image Encryption Using a Zigzag Transformation and Sine–Cosine Maps
  • Authors: Elazzaby, F., Sabour, K.H., Elakkad, N., Torki, A., Rajkumar, S.R.
  • Year: 2023
  • Journal: Scientific African
  • Citations: 1
• 📝 A New Contribution of Image Encryption Based on Chaotic Maps and the Z/nZ Group
  • Authors: Elazzaby, F., Akkad, N.E., Sabour, K., Kabbaj, S.
  • Year: 2023
  • Journal: Journal of Theoretical and Applied Information Technology
  • Citations: 2
• 📝 An RGB Image Encryption Algorithm Based on Clifford Attractors with a Bilinear Transformation
  • Authors: Elazzaby, F., Akkad, N.E., Sabour, K., Kabbaj, S.
  • Year: 2022
  • Conference: Lecture Notes in Networks and Systems
  • Citations: 4
• 📝 Advanced Encryption of Image Based on S-Box and Chaos 2D (LSMCL)
  • Authors: Elazzaby, F., Akkad, N.E., Kabbaj, S.
  • Year: 2020
  • Conference: 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)
  • Citations: 9
• 📝 A New Encryption Approach Based on Four-Square and Zigzag Encryption (C4CZ)
  • Authors: Elazzaby, F., El Akkad, N., Kabbaj, S.
  • Year: 2020
  • Conference: Advances in Intelligent Systems and Computing
  • Citations: 13

Mr. Sachin Kumar Verma | Computer Science | Best Researcher Award

Senior Executive and Researcher at Samsung SDS, India

Education📚

Sachin Kumar Verma has a solid educational foundation in Computer Science and Engineering. He completed his M.Tech from IIITDM Jabalpur with a CGPA of 7.7 and his B.Tech from NIET Gr. Noida with a CGPA of 7.14. This educational background provides him with a strong theoretical and practical understanding of the field, which is crucial for research excellence.

Professional Experience🏛️

Sachin’s experience at Samsung SDS as a Senior Executive and Software Developer Intern showcases his practical expertise in software development, specifically in ABAP, SAP S/4 HANA, and SAP Hybris Marketing. His role involved advanced programming and project work, which enhances his research and problem-solving skills. Additionally, his position as a Teaching Assistant at IIITDM Jabalpur allowed him to impart knowledge on data structures and algorithms, further enriching his research skills through teaching.

Research Interest🌐

Awards and Honors🏆

Achievements🏅

His project on S-MAV (Smart Vehicle) utilized a range of technologies and tools, demonstrating his ability to apply theoretical knowledge to real-world problems. Winning 1st prize in a Hackathon and volunteering for the Smart India Hackathon further illustrate his commitment to innovation and problem-solving in technology.

Publications top noted📜

• Li-MSD: A Lightweight Mitigation Solution for DAO Insider Attack in RPL-Based IoT
  📄 Future Generation Computer Systems
  📝 Verma, A., Verma, S.K., Pandey, A.C., Grover, J., Sharma, G.
  📅 2024
  🔢 Citations: 0
• Addressing DAO Insider Attacks in IPv6-Based Low-Power and Lossy Networks
  📄 IEEE Region 10 Symposium (TENSYMP 2022)
  📝 Verma, S.K., Verma, A., Pandey, A.C.
  📅 2022
  🔢 Citations: 4
• Cost-Based Resource Allocation Strategy for the Cloud Computing Environment
  📄 8th International Conference on Computing, Communications and Networking Technologies (ICCCNT 2017)
  📝 Pandey, M., Verma, S.K.
  📅 2017
  🔢 Citations: 5

Dr Yiren Chen | Computer Science | Best Researcher Award

research associate at Institute of Information Engineering, Chinese Academy of Sciences, China

Education and Qualifications

Dr. Yiren Chen is a PhD student at the Institute of Information Engineering, Chinese Academy of Sciences. His specialization is in Cyberspace Security, particularly in Cyberspace Security Situation Awareness. His educational background and current academic pursuits demonstrate a strong foundation in a highly relevant and specialized area.

Research Experience and Projects

Dr. Chen has participated in various significant research projects, including:

• Internet of Vehicles security management (2022)
• Robot simulation control and white flow filtering system development (2021)
• Application research of large language models on cyberspace security (2023-present)

His involvement in these projects highlights his practical and theoretical contributions to the field of cybersecurity.

Publications and Academic Achievements

Dr. Chen has published two SCI-indexed papers, one EI-indexed conference paper, and authored a book. This publication record is impressive for a PhD student and indicates active and successful engagement in research. Notably, his paper titled “A Survey of Large Language Models for Cyber Threat Detection” has been published in a recognized journal, reflecting the relevance and impact of his work.

Contributions to Research and Development

Dr. Chen’s research focuses on applying large language models like GPT and BERT to cybersecurity challenges. His contributions include developing practical products for national security projects and publishing research papers that explore the application and potential of these models in cyber threat detection. His work is forward-looking and addresses key issues in the field, making significant strides in both theoretical and practical aspects of cybersecurity.

Conclusion

Considering Dr. Chen’s strong educational background, active research involvement, notable publications, and contributions to cybersecurity, he appears to be a highly deserving candidate for the “Best Researcher Award.” His work not only advances the academic field but also has practical implications for national security, highlighting his comprehensive impact on the discipline.

Publications top noted📜

• Article
  • Topic: A survey of large language models for cyber threat detection
  • Year: 2024
  • Journal: Computers and Security 🖥️🔒
• Conference Paper
  • Topic: Towards the Digital Twin Model of Li-Ion Batteries: State-of-Health (SoH) Prediction
  • Year: 2023
  • Journal: Lecture Notes in Electrical Engineering 🔋📘
• Conference Paper (Open Access)
  • Topic: The Scheme for SOC Estimation of Lithium-ion Batteries based on EQ-OCV-Ah-EKF
  • Year: 2023
  • Journal: Journal of Physics: Conference Series 🔋📚

Assist Prof Dr. Ritika Ladha | Computer Science | Best Researcher Award

Associate Professor of Adani University, India

Education📚

Dr. Ritika Vivek Ladha earned her Ph.D. in Information and Communication Technology from Nirma University in 2022. She completed her M.Tech. in Information and Network Security at Nirma University in 2015, with a CGPA of 8.42. Her undergraduate studies were conducted at A.D Patel Institute of Technology, where she obtained a B.E. in Computer Science and Engineering in 2013, achieving a CPI of 8.14.

Professional Experience🏛️

Dr. Ladha’s dedication to her field is further evidenced by her various professional recognitions and roles. She has received certifications in Cyber Security from IBM and is a member of the ACM. Her role as the Membership Chair for the Adani ACM-W Student Chapter and her involvement in conferences and professional organizations underscore her active engagement with the academic and research community.

Research Interest🌐

Awards and Honors🏆

Achievements🏅

Dr. Ladha’s achievements include earning a Certificate in Developing Enterprise Applications from NIIT in 2012 and becoming a Red Hat Certified System Administrator in 2018. In 2020, she was recognized for having articles in the 25 most downloaded papers of the Swarm and Evolutionary Journal. She is a member of ACM (2023) and has been endorsed by IBM with a Skill Build Course on Cyber Security Fundamentals and Artificial Intelligence in 2024. Additionally, she has been actively involved in academic and professional communities, including serving as the Membership Chair of the Adani ACM-W Student Chapter in 2023.

Publications top noted📜

• “A Review on Machine Learning and Deep Learning Perspectives of IDS for IoT: Recent Updates, Security Issues, and Challenges”
  Authors: A. Thakkar, R. Lohiya
  Journal: Archives of Computational Methods in Engineering
  Year: 2021
  Citations: 📚 259
• “A Review of the Advancement in Intrusion Detection Datasets”
  Authors: A. Thakkar, R. Lohiya
  Journal: Procedia Computer Science
  Year: 2020
  Citations: 📚 228
• “A Survey on Intrusion Detection System: Feature Selection, Model, Performance Measures, Application Perspective, Challenges, and Future Research Directions”
  Authors: A. Thakkar, R. Lohiya
  Journal: Artificial Intelligence Review
  Year: 2022
  Citations: 📚 185
• “Attack Classification Using Feature Selection Techniques: A Comparative Study”
  Authors: A. Thakkar, R. Lohiya
  Journal: Journal of Ambient Intelligence and Humanized Computing
  Year: 2021
  Citations: 📚 128
• “Fusion of Statistical Importance for Feature Selection in Deep Neural Network-Based Intrusion Detection System”
  Authors: A. Thakkar, R. Lohiya
  Journal: Information Fusion
  Year: 2023
  Citations: 📚 114
• “Application Domains, Evaluation Data Sets, and Research Challenges of IoT: A Systematic Review”
  Authors: R. Lohiya, A. Thakkar
  Journal: IEEE Internet of Things Journal
  Year: 2020
  Citations: 📚 84
• “Role of Swarm and Evolutionary Algorithms for Intrusion Detection System: A Survey”
  Authors: A. Thakkar, R. Lohiya
  Journal: Swarm and Evolutionary Computation
  Year: 2020
  Citations: 📚 81
• “Attack Classification of Imbalanced Intrusion Data for IoT Network Using Ensemble-Learning-Based Deep Neural Network”
  Authors: A. Thakkar, R. Lohiya
  Journal: IEEE Internet of Things Journal
  Year: 2023
  Citations: 📚 54
• “Intrusion Detection Using Deep Neural Network with Anti-Rectifier Layer”
  Authors: R. Lohiya, A. Thakkar
  Journal: Applied Soft Computing and Communication Networks: Proceedings of ACN 2020
  Year: 2021
  Citations: 📚 36
• “Analyzing Fusion of Regularization Techniques in the Deep Learning-Based Intrusion Detection System”
  Authors: A. Thakkar, R. Lohiya
  Journal: International Journal of Intelligent Systems
  Year: 2021
  Citations: 📚 28
• “Survey on Mobile Forensics”
  Authors: R. Lohiya, P. John, P. Shah
  Journal: International Journal of Computer Applications
  Year: 2015
  Citations: 📚 28
• “A Review on Challenges and Future Research Directions for Machine Learning-Based Intrusion Detection System”
  Authors: A. Thakkar, R. Lohiya
  Journal: Archives of Computational Methods in Engineering
  Year: 2023
  Citations: 📚 10

Dr. Rahul Chaurasia | Computer Science | Best Researcher Award

Postdoc Researcher of IIT Indore , India

Education📚

Rahul Chaurasia holds a Ph.D. in Computer Science & Engineering from the Indian Institute of Technology Indore, which is renowned for its rigorous academic standards. His thesis, focused on IP core protection and control against data-intensive IP piracy, demonstrates his deep expertise in a crucial area of hardware security. Additionally, his strong academic performance, reflected in his CGPA during both his M.Tech. and B.E. studies, further underscores his solid educational foundation.

Professional Experience🏛️

Chaurasia’s role as a Post-Doc Researcher with the Translational Research Fellowship at IIT Indore, combined with his experience as a teaching assistant, reflects his commitment to both research and education. His involvement in various conferences, as well as his service as a reviewer for prominent journals, indicates a high level of professional engagement and peer recognition.

Research Interest🌐

Awards and Honors🏆

Achievements🏅

Rahul Chaurasia has made significant contributions to the field of hardware security, as evidenced by his multiple publications in high-impact journals such as IEEE Transactions on Consumer Electronics. His research has been recognized with several prestigious awards, including the Young Scientist Award in Computer Science Engineering and Information Technology from the M.P. Council of Science and Technology and the First Prize-Best Paper Award at the IEEE-iSES 2022 symposium. He has also been awarded the Translational Research Fellowship for his post-doctoral work at IIT Indore and has received fellowships from MHRD and AICTE during his Ph.D. and M.Tech. programs, respectively. His achievements reflect his dedication to advancing the field of computer science and his potential as a leading researcher in hardware security.

Publications top noted📜

• Contact-less Palmprint Biometric for Securing DSP Coprocessors used in CE systems
  👨‍🔬 Anirban Sengupta, Rahul Chaurasia, Tarun Reddy
  📰 IEEE Transactions on Consumer Electronics 67 (3), 202-213
  📅 2021
  📑 Citations: 15
• Secured Convolutional Layer IP Core in Convolutional Neural Network Using Facial Biometric
  👨‍🔬 Anirban Sengupta, Rahul Chaurasia
  📰 IEEE Transactions on Consumer Electronics 68 (3), 291-306
  📅 2022
  📑 Citations: 11
• Securing IP Cores for DSP Applications Using Structural Obfuscation and Chromosomal DNA Impression
  👨‍🔬 Anirban Sengupta, Rahul Chaurasia
  📰 IEEE Access 10, 50903-50913
  📅 2022
  📑 Citations: 9
• Robust Security of Hardware Accelerators Using Protein Molecular Biometric Signature and Facial Biometric Encryption Key
  👨‍🔬 Anirban Sengupta, Rahul Chaurasia, Aditya Anshul
  📰 IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  📅 2023
  📑 Citations: 6
• Quadruple Phase Watermarking during High Level Synthesis for Securing Reusable Hardware Intellectual Property Cores
  👨‍🔬 Mahendra Rathor, Aditya Anshul, K Bharath, Rahul Chaurasia, Anirban Sengupta
  📰 Computers and Electrical Engineering 105, 108476
  📅 2023
  📑 Citations: 4
• Exploring Handwritten Signature Image Features for Hardware Security
  👨‍🔬 Mahendra Rathor, Anirban Sengupta, Rahul Chaurasia, Aditya Anshul
  📰 IEEE Transactions on Dependable and Secure Computing
  📅 2022
  📑 Citations: 4
• Palmprint Biometric Versus Encrypted Hash Based Digital Signature for Securing DSP Cores used in CE Systems
  👨‍🔬 R Chaurasia, A Anshul, A Sengupta, S Gupta
  📰 IEEE Consumer Electronics Magazine 11 (5), 73-80
  📅 2022
  📑 Citations: 4
• Blockchain Based Pharmaceutical Supply Chain and its Challenges: A Review and Proposed Solution
  👨‍🔬 UK Sahu, A Jain, R Chaurasia, KK Hiran
  📰 2023 IEEE International Conference on ICT in Business Industry & Government
  📅 2023
  📑 Citations: 3
• Retinal Biometric for Securing JPEG Codec Hardware IP Core for CE Systems
  👨‍🔬 Rahul Chaurasia, Anirban Sengupta
  📰 IEEE Transactions on Consumer Electronics
  📅 2023
  📑 Citations: 3
• Symmetrical Protection of Ownership Rights for IP Buyer and IP Vendor using Facial Biometric Pairing
  👨‍🔬 Rahul Chaurasia, Anirban Sengupta
  📰 2022 IEEE International Symposium on Smart Electronic Systems (iSES), 272-277
  📅 2022
  📑 Citations: 3
• Security Vs Design Cost of Signature Driven Security Methodologies for Reusable Hardware IP Core
  👨‍🔬 Rahul Chaurasia, Anirban Sengupta
  📰 2022 IEEE International Symposium on Smart Electronic Systems (iSES), 283-288
  📅 2022
  📑 Citations: 1

Dr. Taher Al-Shehari | Computer Science | Best Researcher Award

Senior Lecturer and Researcher of King Saud University, Saudi Arabia

Education📚

Taher’s educational background is exemplary. He graduated with honors from King Khalid University with a Bachelor in Computer Science, boasting an impressive GPA of 4.7/5. He continued to excel academically, earning a Master’s in Computer Science from King Fahd University of Petroleum and Minerals with a GPA of 3.348/4. His strong educational foundation in computer science positions him as a knowledgeable and capable researcher in his field.

Professional Experience🏛️

Taher’s extensive professional experience underscores his capability and versatility. He has held various roles, from technical support and customer services to research assistant and data analyst, and now serves as a full-time lecturer and researcher at King Saud University. His responsibilities have included teaching numerous technical courses, conducting specialized training programs, and participating in curriculum development. His involvement in a research group at the Deanship of Scientific Research further solidifies his research credentials.

Research Interest🌐

Awards and Honors🏆

Achievements🏅

Taher Ali Al-Shehari’s achievements reflect his expertise and dedication in cybersecurity. He has received numerous accolades, including appreciation certificates for his contributions to data analysis, academic progression, and curriculum development. Notably, he won an award for designing the best Information Security technical syllabus at King Saud University. His research contributions are significant, with publications in reputable journals and conferences on topics such as operating system fingerprinting, insider threat detection, and web browser security. His work has been widely recognized, underscoring his impact and leadership in the field. 📚🔐🏆

Publications top noted📜

• “An Insider Data Leakage Detection Using One-Hot Encoding, Synthetic Minority Oversampling and Machine Learning Techniques”
  Year: 2021
  Journal: Entropy
  Citations: 117 📊
• “A Multi-Tiered Framework for Insider Threat Prevention”
  Year: 2021
  Journal: Electronics
  Citations: 36 🛡️
• “Empirical Detection Techniques of Insider Threat Incidents”
  Year: 2020
  Journal: IEEE Access
  Citations: 35 🔍
• “Improving Operating System Fingerprinting Using Machine Learning Techniques”
  Year: 2014
  Journal: International Journal of Computer Theory and Engineering
  Citations: 29 💻
• “Techniques and Countermeasures for Preventing Insider Threats”
  Year: 2022
  Journal: PeerJ Computer Science
  Citations: 16 🚫
• “An Empirical Study of Web Browsers’ Resistance to Traffic Analysis and Website Fingerprinting Attacks”
  Year: 2018
  Journal: Cluster Computing Journal
  Citations: 14 🌐
• “SCBC: Smart City Monitoring with Blockchain Using Internet of Things for and Neuro Fuzzy Procedures”
  Year: 2023
  Journal: Mathematical Biosciences and Engineering
  Citations: 12 🏙️
• “Wireless Video Streaming Over Data Distribution Service Middleware”
  Year: 2012
  Conference: IEEE International Conference on Computer Science and Automation Engineering
  Citations: 9 📺
• “Random Resampling Algorithms for Addressing the Imbalanced Dataset Classes in Insider Threat Detection”
  Year: 2023
  Journal: International Journal of Information Security
  Citations: 6 📉
• “Insider Threat Detection Model Using Anomaly-Based Isolation Forest Algorithm”
  Year: 2023
  Journal: IEEE Access
  Citations: 4 🌲
• “Enhancing Insider Threat Detection in Imbalanced Cybersecurity Settings Using the Density-Based Local Outlier Factor Algorithm”
  Year: 2024
  Journal: IEEE Access
  Citations: 1 🧩
• “Insider Threat Detection in Cyber-Physical Systems: A Systematic Literature Review”
  Year: 2024
  Journal: Computers and Electrical Engineering
  Citations: — 📚
• “TumorGANet: A Transfer Learning and Generative Adversarial Network-Based Data Augmentation Model for Brain Tumor Classification”
  Year: 2024
  Journal: IEEE Access
  Citations: — 🧠
• “S2DN: Design of Robust Authentication Protocol with Session Key Establishment in Multi-Controller Based Software-Defined VANETs”
  Year: 2024
  Journal: Vehicular Communications
  Citations: — 🚗
• “Mining the Opinions of Software Developers for Improved Project Insights: Harnessing the Power of Transfer Learning”
  Year: 2024
  Journal: IEEE Access
  Citations: — 🔄

Mrs. Padmini MS | Computer Science | Best Researcher Award

Associate Professor of The National Institute of Engineering, India

Education📚

Padmini M.S. is currently pursuing a Ph.D. part-time at VTU, with plans to take her comprehensive viva shortly. She holds an M.Tech. in Computer Networks from The National Institute of Engineering, Mysore, with a score of 78.5%, and a B.E. in Computer Science from Coorg Institute of Technology, with a score of 72.5%.

Professional Experience🏛️

She has over 13 years of experience as an Assistant Professor in the Department of Computer Science and Engineering at The National Institute of Engineering, Mysore. Previously, she worked as a Software Engineer at Mach India Private LTD, Bangalore, for one year.

Research Interest🌐

Awards and Honors🏆

Achievements🏅

• 🏅 Over 13 years of experience as an Assistant Professor in Computer Science and Engineering at The National Institute of Engineering, Mysore.
• 📚 Published numerous papers in reputable journals and presented at international conferences.
• 🎓 Currently pursuing a Ph.D. part-time at VTU, with a strong academic background including an M.Tech. in Computer Networks and a B.E. in Computer Science.
• 🌐 Conducted significant research in IoT, energy efficiency, and smart environments.
• 🖥️ Authored impactful papers such as “Energy Efficient Smart Street Lighting System” and “Critical Analysis of Life Span Improvement Techniques in Energy Constraints Edge IoT Devices”.
• 👩‍🏫 Recognized for excellent communication skills, problem-solving ability, and adaptability to new technologies.
• 🌟 Highly respected in the academic community for her innovative research and practical applications.
• 📜 Demonstrated commitment to continuous learning and professional growth through her ongoing Ph.D. studies and research initiatives.

Publications top noted📜

• Critical Analysis of Life Span Improvement Techniques in Energy Constraints Edge IoT Devices
  • Authors: Padmini, M.S., Kuzhalvaimozhi, S.
  • Year: 2023
  • Journal: SN Computer Science
  • Citations: 0
  • 📜📆0️⃣
• Energy aware reliable routing model for sensor network enabled internet of things environment
  • Authors: Srikantha, P.M., Kuzhalvaimozhi, S., Silli, S.M., Verma, T., Manjunatha, V.
  • Year: 2023
  • Journal: Indonesian Journal of Electrical Engineering and Computer Science
  • Citations: 0
  • 🌐🔋0️⃣
• Energy Efficient Smart Street Lighting System
  • Authors: Padmini, M.S., Rajkumar, R., Prahlada, Galagali, S.S., Reddy, K.N.
  • Year: 2022
  • Conference: International Conference on Artificial Intelligence and Data Engineering, AIDE 2022
  • Citations: 1
  • 💡🏙️1️⃣
• An Implementation of Gesture-Controlled Autonomous Drone
  • Authors: Padmini, M.S., Kuzhalivaimozhi, S., Simha, P.V., Singh, P., Abhinandan, A.
  • Year: 2022
  • Conference: Proceedings – 2nd International Conference on Smart Technologies, Communication and Robotics 2022, STCR 2022
  • Citations: 0
  • 🚁🤖0️⃣