Keiko Unno | Brain Function | Best Researcher Award

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Dr. Keiko Unno | Brain Function | Best Researcher Award

Doctorate and Tea Sciense Center,  Japan

Dr. Keiko Unno is a renowned researcher in the field of pharmaceutical sciences with a particular focus on brain health and the impact of dietary compounds. With an educational background from Shizuoka College of Pharmacy and the University of Shizuoka, she has dedicated her career to exploring the beneficial effects of green tea and other compounds on brain function and aging. Her extensive research includes studying the impact of green tea on brain aging, the potential of dietary DNA to reduce stress, and the role of coffee polyphenols in preventing oxidative damage. Dr. Unno has been recognized for her contributions with several prestigious awards, including the Society of Tea Science Young Researcher’s Award and the World Green Tea Association’s O-CHA Pioneer Award. Currently, she serves as a Visiting Associate Professor at the Tea Science Center, University of Shizuoka, continuing her impactful research.

Profile
Education

Dr. Keiko Unno obtained her Bachelor of Science (B.S.) degree from Shizuoka College of Pharmacy in 1976. She continued her academic journey and earned a Ph.D. from the University of Shizuoka in 1994, where her research focused on areas pertinent to pharmaceutical sciences.

Professional Experience

Dr. Unno began her career as a Research Associate at Shizuoka College of Pharmacy in 1976, where she worked until 1987. Following this, she joined the University of Shizuoka’s School of Pharmaceutical Sciences, where she held various positions including Research Associate, Assistant Professor, and Associate Professor from 1987 to 2019. In 2019, she transitioned to her current role as a Visiting Associate Professor at the Tea Science Center, University of Shizuoka. Her professional trajectory highlights her extensive experience in pharmaceutical sciences and her specialization in the effects of tea and related compounds on health.

Research Interests

Dr. Unno’s research primarily focuses on:

  1. Prevention Against Brain Dysfunction with Aging: Investigating methods to mitigate cognitive decline associated with aging.
  2. Effect of Psychosocial Stress on Brain Function: Examining how stress impacts brain health and function.
Author Metric

Dr. Unno has authored several notable publications, reflecting her research contributions in the field:

  • 2024: “DNA Mutagenicity of Hydroxyhydroquinone in Roasted Coffee Products and Its Suppression by Chlorogenic Acid, a Coffee Polyphenol, in Oxidative-Damage-Sensitive SAMP8 Mice” in International Journal of Molecular Sciences (25:720).
  • 2023: “Stress Reduction Potential in Mice Ingesting DNA from Salmon Milt” in Biology (12:978).
  • 2022: “Improvement of Depressed Mood with Green Tea Intake” in Nutrients (14:2949).
  • 2021: “Green Tea Suppresses Brain Aging” in Molecules (26:4897).

Dr. Unno’s research has garnered attention in the academic community, as evidenced by her recent publications and the awards she has received for her work. Her contributions continue to advance the understanding of dietary impacts on brain health and aging.

Conclusion

Dr. Unno’s contributions to her field are marked by a dedication to advancing knowledge through rigorous research and a focus on the practical applications of her findings. Her continued work promises to provide valuable insights into the complex interactions between diet, stress, and brain health.

Publications Top Notes

  • “Stress Reduction Potential in Mice Ingesting DNA from Salmon Milt”
  • “Enokitake Mushroom and Its Active Component, Adenosine, Which Restores Testosterone Production in Impaired and Fatigued Mouse Models”
  • “Mouse Models with SGLT2 Mutations: Toward Understanding the Role of SGLT2 beyond Glucose Reabsorption”
    • Journal: International Journal of Molecular Sciences
    • Publication Date: March 27, 2023
    • DOI: 10.3390/ijms24076278
  • “Theanine, a Tea-Leaf-Specific Amino Acid, Alleviates Stress through Modulation of Npas4 Expression in Group-Housed Older Mice”
    • Journal: International Journal of Molecular Sciences
    • Publication Date: February 16, 2023
    • DOI: 10.3390/ijms24043983
  • “Effects of Epigallocatechin-3-Gallate on Matrix Metalloproteinases in Terms of Its Anticancer Activity”

 

 

JAYABRABU RAMAKRISHNAN | Clustering | Best Researcher Award

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Dr. JAYABRABU RAMAKRISHNAN | Clustering | Best Researcher Award

Associate Professor at Clustering,  JAZAN UNIVERSITY , Saudi Arabia

Dr. Jayabrabu Ramakrishnan is an accomplished academic professional with a strong background in information technology, cybersecurity, and related fields. Currently serving as an Associate Professor at Jazan University, Saudi Arabia, since 2014, he holds a Ph.D. in Computer Science from Bharathiar University, India. Dr. Ramakrishnan has received recognition for his research, including the Scientific Research Cash Award from Jazan University. He is also actively involved in industry collaborations, aiming to bridge the gap between academia and industry. Dr. Ramakrishnan’s expertise and dedication to his field make him a valuable asset to the academic community.

Professional Profiles:

Academic and Professional Positions:

Dr. Jayabrabu Ramakrishnan has a rich academic and professional background, currently serving as an Associate Professor in the Department of Information Technology and Security at the College of Computer Science and Information Technology, Jazan University, Saudi Arabia, since January 2024. Prior to this, he held the position of Assistant Professor in the same department from September 2014 to December 2023. Dr. Ramakrishnan’s academic journey began as an Assistant Professor at Karunya University, Coimbatore, India, from June 2008 to July 2008, followed by his role as an Associate Professor in the Department of Computer Applications at Dr. NGP Institute of Technology, Coimbatore, India, from August 2008 to October 2014. Before joining academia, he served as a Lecturer in the Department of Computer Applications at Rajiv Gandhi College of Engineering and Technology, Pondicherry, India, from September 2004 to June 2008.

Education:

Dr. Jayabrabu Ramakrishnan has pursued a diverse educational journey, culminating in a Ph.D. in Computer Science from Bharathiar University, Coimbatore, India, which he completed in 2013. Prior to this, he obtained an M.Phil. in Computer Science from Annamalai University, India, in 2007. Dr. Ramakrishnan’s academic pursuits began with a Master of Computer Applications (MCA) from Pondicherry University, India, in 2004, following his Bachelor of Science degree from Madras University, India, in 2000. Recently, in 2023, he further enhanced his expertise by completing a Postgraduate Program in Artificial Intelligence and Machine Learning (PGP-AIML) from The University of Texas, Austin.

Teaching:

Dr. Jayabrabu Ramakrishnan has a strong background in teaching, with extensive experience in delivering high-quality education in the field of information technology and security. He has taught a variety of courses at both undergraduate and graduate levels, including subjects such as data mining, artificial intelligence, machine learning, and cybersecurity. Dr. Ramakrishnan is known for his innovative teaching methods and his ability to engage students in the learning process. He is committed to providing students with a solid foundation in theoretical concepts while also imparting practical skills that are relevant to the industry. Dr. Ramakrishnan’s passion for teaching and his dedication to student success make him a highly respected educator in his field.

Awards and Achievements:

Dr. Jayabrabu Ramakrishnan has been recognized for his exceptional contributions in research, receiving the Scientific Research Cash Award from Jazan University for the years 2019, 2020, and 2021. He established the International Certification Academy within the College of Computer Science and Technology at Jazan University and was honored with the Best Techno Faculty Award in 2014. Dr. Ramakrishnan has signed memorandums of understanding with numerous industries to strengthen industry-institute relationships. He has coordinated conferences and served as a chairperson at various national and international events. Additionally, Dr. Ramakrishnan is a Certified Cisco Networking Associate (CCNA) Instructor Trainer and serves as a reviewer for several international journals and conferences.

Research Experience:

Dr. Jayabrabu Ramakrishnan has a wealth of research experience in the field of information technology and security. His research interests span a wide range of topics, including data mining, artificial intelligence, machine learning, and cybersecurity. Dr. Ramakrishnan has published extensively in peer-reviewed journals and conferences, contributing to the advancement of knowledge in his field. He has also been actively involved in supervising research projects and mentoring students, fostering a culture of research excellence. His research experience reflects his commitment to academic and scholarly pursuits, making him a valuable asset to the research community.

Publications:

  1. A comprehensive and systematic review of the network virtualization techniques in the IoT
    J Ramakrishnan, MS Shabbir, NM Kassim, PT Nguyen, D Mavaluru
    International Journal of Communication Systems 33 (7), e4331
    Year: 2020
    Citations: 61
  2. A new efficient design for random access memory based on quantum dot cellular automata nanotechnology
    A Mubarakali, J Ramakrishnan, D Mavaluru, A Elsir, O Elsier, K Wakil
    Nano Communication Networks 21, 100252
    Year: 2019
    Citations: 45
  3. Fog-based delay-sensitive data transmission algorithm for data forwarding and storage in cloud environment for multimedia applications
    A Mubarakali, AD Durai, M Alshehri, O AlFarraj, J Ramakrishnan, …
    Big Data 11 (2), 128-136
    Year: 2023
    Citations: 23
  4. Brain–computer interface for amyotrophic lateral sclerosis patients using deep learning network
    J Ramakrishnan, D Mavaluru, RS Sakthivel, AS Alqahtani, A Mubarakali, …
    Neural Computing and Applications, 1-15
    Year: 2020
    Citations: 21
  5. An enhanced network intrusion detection system for malicious crawler detection and security event correlations in ubiquitous banking infrastructure
    S Eswaran, V Rani, D Daniel, J Ramakrishnan, S Selvakumar
    International Journal of Pervasive Computing and Communications 18 (1), 59-78
    Year: 2021
    Citations: 10
  6. A framework for fraud detection system in automated data mining using intelligent agent for better decision making process
    R Jayabrabu, V Saravanan, JJ Tamilselvi
    2014 International Conference on Green Computing Communication and …
    Year: 2014
    Citations: 9
  7. Investigation of hybrid spectrum slicing-wavelength division multiplexing (SS-WDM) in transparent medium for mode division multiplexing applications
    AS Alqahtani, UA Kumar, J Ramakrishnan, P Parthasarathy, A Mubarakali, …
    Optical and Quantum Electronics 55 (3), 243
    Year: 2023
    Citations: 8
  8. A framework: Cluster detection and multidimensional visualization of automated data mining using intelligent agents
    R Jayabrabu, V Saravanan, K Vivekanandan
    arXiv preprint arXiv:1202.1945
    Year: 2012
    Citations: 8

 

Dr. Punithavathi Rasappan | Sentiment Analysis | Women Researcher Award

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Dr. Punithavathi Rasappan | Sentiment Analysis | Women Researcher Award

Professor and Head at Sentiment Analysis, Chettinad College of Engineering & Technology, Karur, India

👨‍🎓She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education 📚

Dr. Punithavathi Rasappan has a Ph.D. in Computer Science and Engineering from Anna University, Chennai, which she pursued part-time and received high commendation. She also holds a Master of Engineering in Computer Science and Engineering from the College of Engineering, Guindy Campus, Anna University, Chennai, where she graduated with a CGPA of 8.279 out of 10, achieving first-class distinction. Her undergraduate degree is a Bachelor of Engineering in Computer Science and Engineering from the Government College of Technology, Coimbatore, Bharathiar University, Coimbatore, where she obtained a remarkable 75.94% and graduated with first-class distinction.

Experience:

Dr. Punithavathi Rasappan has been serving as a Professor and Head of the Department of Artificial Intelligence & Data Science at Chettinad College of Engineering & Technology, Karur, Tamil Nadu, India, since February 2024. In this role, she supports the management in decision-making, teaches regular student lectures, designs and organizes summer and winter value-added courses with job relevance, encourages faculty to present papers in national/international conferences and journals, organizes national-level seminars/workshops on recent trends, arranges and guides B.Tech AI DS final semester projects, organizes national-level students’ technical symposiums, and guides student mini-projects.

Areas of Specializations:

Dr. Punithavathi Rasappan specializes in Mobile Computing, Mobile Agents and Network Security, and Data Science.

Award Received:

Dr. Punithavathi Rasappan received the MTC Global Distinguished Teacher Award in Computer Science and Information Technology for the year 2019 at the 9th World Education Summit in Bangalore on September 7, 2019. She also received the Best Coordinator award in the state of Tamil Nadu from ICT Academy in 2020 and 2023Expert

Memberships:

Dr. Punithavathi Rasappan has served in various expert roles, including acting as a reviewer for reputed journals and as an Anna University Representative for Subject Expert in Ph.D open viva at Anna University, Chennai. She has also served as an Anna University Representative for Theory Examinations and as a Squad member during Anna University Examinations. Additionally, she has served as Chief Examiner for Theory Examinations Paper Evaluation and as an Examiner (Internal / External) for Practical and Project Viva Voce at Anna University, Chennai. She has also been a member of the CSE/IT Department Faculty Selection Committee.

Publications:

  1. Metaheuristic Clustering Protocol for Healthcare Data Collection in Mobile Wireless Multimedia Sensor Networks
    G. Kadiravan, P. Sujatha, T. Asvany, R. Punithavathi, M. Elhoseny et al.
    Computers, Materials & Continua 66 (3), 3215–3231 (2020)
    Citations: 30
  2. Computer vision and deep learning-enabled weed detection model for precision agriculture
    R Punithavathi, ADC Rani, KR Sughashini, C Kurangi, M Nirmala, …
    Comput. Syst. Sci. Eng 44 (3), 2759-2774 (2023)
    Citations: 22
  3. Hybrid BWO-IACO Algorithm for Cluster Based Routing in Wireless Sensor Networks
    CK R. Punithavathi
    Computers, Materials & Continua 69 (1), 433-449 (2021)
    Citations: 15
  4. Secure Content Based Image Retrieval System Using Deep Learning With Multi Share Creation Scheme In Cloud Environment
    A Punithavathi, R. Punithavathi, Ramalingam
    Multimedia Tools Appl 14 (2021)
    Citations: 14
  5. An optimized solution for mobile computing environment
    RP K Duraiswamy
    International Conference on Computing, Communication and Networking, 2008 … (2008)
    Citations: 11
  6. Crypto Hash Based Malware Detection in IoMT Framework
    R Punithavathi, K Venkatachalam, M Masud, AZ Mohammed A, …
    Intelligent Automation & Soft Computing 34 (1), 559-573 (2022)
    Citations: 7
  7. Robust Node Localization with Intrusion Detection for Wireless Sensor Networks
    NKS R. Punithavathi, R. Thanga Selvi, R. Latha, G. Kadiravan, V. Srikanth
    Intelligent automation and soft computing 33 (1), 143-156 (2022)
    Citations: 7
  8. A Fault Tolerant Mobile Agent Information Retrieval System
    R Punithavathi, K Duraiswamy
    Journal of Computer Science 6 (5), 553-556 (2010)
    Citations: 7
  9. Empirical investigation for predicting depression from different machine learning based voice recognition techniques
    R Punithavathi, M Sharmila, T Avudaiappan, I Raj, S Kanchana, SA Mamo
    Evidence-Based Complementary and Alternative Medicine 2022 (2022)
    Citations: 5
  10. Protecting Data Mobility in Cloud Networks Using Metadata Security
    MS R. Punithavathi, M. Kowsigan, R. Shanthakumari, Miodrag Zivkovic, Nebojsa …
    Computer Systems Science and Engineering 42 (1), 105-120 (2021)
    Citations: 5

 

 

Dr. Pankaj Kumar Keserwani | Computer Science | Best Research Award

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Dr. Pankaj Kumar Keserwani | Computer Science | Best Research Award

Associate Professor at Computer Science, NIT Sikkim, India

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Dr. Pankaj Kumar Keserwani holds a Ph.D. in Information Security from NIT Sikkim, which was awarded in 2021. He also has a Master’s (MS-CLIS) from IIIT Allahabad, with a grade point of 8.06, awarded in 2009. Additionally, he completed a Master’s in Computer Applications (MCA) from UPTU Lucknow, with a percentage of 67.25%, awarded in 2006. His Bachelor’s degree (B.Sc.) is from Allahabad University, with a percentage of 51.8%, awarded in 2001. He completed his 12th/Higher Secondary education from U.P. Board, with a percentage of 51.8%, in 1997, and his 10th from U.P. Board, with a percentage of 59%, in 1995.

Pankaj Kumar Keserwani ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 212, Since 2018: 178
  • Citations: 212 (All), 178 (Since 2018)
  • h-index:  9 (All), 7 (Since 2018)
  • i-10index: 6 (All), 4 (Since 2018

These metrics showcase the impact of Keserwani ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Experience:

  1. Organization: National Institute of Technology Sikkim
    • Post: Assistant Professor
    • Period: From 23.06.2021 to Present (2 years, 1 month)
    • Nature of Responsibilities: Teaching and administrative
    • Employment Type: Regular
  2. Organization: National Institute of Technology Sikkim
    • Post: Assistant Professor
    • Period: From 28.12.2015 to 22.06.2021 (5 years, 6 months)
    • Nature of Responsibilities: Teaching and administrative
    • Employment Type: Contract
  3. Organization: National Institute of Technology Sikkim
    • Post: Assistant Professor
    • Period: From 01.02.2012 to 27.12.2015 (3 years, 11 months)
    • Nature of Responsibilities: Teaching and administrative
    • Employment Type: Adhoc

Academic Responsibilities:

Dr. Pankaj Kumar Keserwani has organized and participated in several workshops and Faculty Development Programs (FDPs). He served as the Coordinator for a one-week FDP on Cloud Forensics: Techniques, Challenges, and Research Directions from 18/10/2021 to 22/10/2021. Additionally, he acted as the Co-Coordinator for a two-week FDP on Computer Vision and Image Processing using Deep Learning: Research Issues and Applications from 19/12/2022 to 30/12/2022. He also served as the Convener for a four-day workshop on Data Mining and Business Analytics from 16/11/2016 to 19/11/2016.

Publications:

“A smart anomaly-based intrusion detection system for the Internet of Things (IoT) network using GWO–PSO–RF model”

Authors: PK Keserwani, MC Govil, ES Pilli, P Govil

Citations: 68

Year: 2021

Journal: Journal of Reliable Intelligent Environments

“An efficient web mining algorithm for Web Log analysis: E-Web Miner”

Authors: MP Yadav, PK Keserwani, SG Samaddar

Citations: 22

Year: 2012

Conference: 2012 1st International Conference on Recent Advances in Information …

“Air Quality Index prediction using an effective hybrid deep learning model”

Authors: N Sarkar, R Gupta, PK Keserwani, MC Govil

Citations: 21

Year: 2022

Journal: Environmental Pollution

“Information security: Components and techniques”

Authors: A Singh, A Vaish, PK Keserwani

Citations: 21

Year: 2014

Journal: International Journal of Advanced Research in Computer Science and Software …

“Research issues and challenges of wireless networks”

Authors: A Singh, A Vaish, PK Keserwani

Citations: 12

Year: 2014

Journal: International Journal of Advanced Research in Computer Science and Software …

“An effective NIDS framework based on a comprehensive survey of feature optimization and classification techniques”

Authors: PK Keserwani, MC Govil, ES Pilli

Citations: 11

Year: 2023

Journal: Neural Computing and Applications

“An optimal intrusion detection system using GWO-CSA-DSAE model”

Authors: PK Keserwani, MC Govil, E S. Pilli

Citations: 9

Year: 2021

Journal: Cyber-Physical Systems

“Digital forensic enabled image authentication using least significant bit (lsb) with tamper localization based hash function”

Authors: UK Das, SG Samaddar, PK Keserwani

Citations: 9

Year: 2018

Book: Intelligent Communication and Computational Technologies:

Mrs. Maria Arostgei | Artificial Intelligence | Best Researcher Award

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Mrs. Maria Arostgei | Artificial Intelligence | Best Researcher Award

PhD Candidate at Artificial Intelligence, Tecnalia Research Innovation, Spain

👨‍🎓She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Maria Arostegi 🎓 earned her mathematics degree (Number Theory) in 1995 from EHU-UPV (Basque Country University), completing her final year of studies at L’Università degli Studi di Milano in Milano, Italy 🇮🇹. In 1996, she completed the Course on Pedagogical Aptitude. Over the next two years, she received grants to work in the mechanics department of LABEIN, focusing on Virtual Reality. She then obtained another grant from the “Bizkaiko Foru Aldundia” to further her training on Virtual Reality tools at VRAC (Virtual Reality Applications Center, Ames-IA), where she worked with the Carolina Cruz-Neira research team. During this period, she focused on geometric modeling, software navigation, and photo-realistic treatment.

Experience:

From then until 2017, Maria worked on various projects related to 3D modeling tools, graphic interaction, computation, and simulation in different scenarios. She specialized in developing software predictive tools for rolling mills, continuous casting, and reheating furnaces. Specifically, she developed the heating module in 1D, 2D, and 3D, as well as software interfaces for these steel processes. This involved mathematical development of the three-dimensional equations of heat transfer in steel processes and the (2D and 3D) View factor related to the geometrical shapes in the reheating furnace process for calculating radiation heat transfer.

Other Activity:

In 2017, Maria shifted her focus to studying mathematical algorithms for data analytics, machine learning, and big data technologies (such as Hadoop, Spark, etc.), receiving training in “Big data, Business Intelligence, and Data Science” through an online Master’s degree issued by INESEM. Since then, she has participated in several AI projects using techniques such as Artificial Intelligence, Machine Learning, clustering schemes, dimensional reduction, unbalanced strategies, regressive schemes, linear, lasso, elastic-net, SVMs, CART, RF, and assembly methods (bagging and boosting).

Currently, Maria is working on her thesis titled “Explainable continual learning over data streams” as part of the PhD program at UPV/EHV in the field of Information and Communication Technologies in Mobile Networks, while also working part-time.

 

Mr. Wang Xiaofeng | Artificial Intelligence | Best Researcher Award

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Mr. Wang Xiaofeng | Artificial Intelligence | Best Researcher Award

PhD Student at Artificial Intelligence, INTI International University, Malaysia

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

👨‍🎓 Xiaofeng Wang (1980) is a PhD candidate in the Faculty of Data Science and Information Technology at INTI International University, Nilai, Malaysia. Originally from Shanxi, China, he graduated from Xinzhou Normal University with a major in Computer Science and Technology. He furthered his education at Shanxi University, specializing in Computer Systems Engineering.

Other Activity:

👨‍🏫 Currently, Xiaofeng Wang is a lecturer in the Department of Computer Science at Xinzhou Normal University in Shanxi. His primary research interests revolve around the Internet of Things, cyberspace security, artificial intelligence, and deep learning. Over the past few years, he has made significant contributions to his field, with 3 SCI papers, 1 EI paper, 2 Scopus papers, 1 book, and involvement in several research projects.

Publications:

  1. Wang, X., Othman, M., Dewi, D.A., Wang, Y. (2024). WSLC: Weighted semi-local centrality to identify influential nodes in complex networks. Journal of King Saud University – Computer and Information Sciences, 36(1), 101906.
  2. Wang, X., Wang, Y., Javaheri, Z., Moghadamnejad, N., Younes, O.S. (2023). Federated deep learning for anomaly detection in the internet of things. Computers and Electrical Engineering, 108, 108651.
  3. Wang, Y., Wang, X., Ariffin, M.M., Alqhatani, A., Almutairi, L. (2023). Attack detection analysis in software-defined networks using various machine learning methods. Computers and Electrical Engineering, 108, 108655.
  4. Wang, X. (2013). The research of digital recognition technology based on bp neural network. BioTechnology: An Indian Journal, 8(2), 180–185.

 

 

Mr. Simar Muratov | Data Analysis | Young Scientist Award

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Mr. Simar Muratov | Data Analysis | Young Scientist Award

Postgraduate Student at Data Analysis, ITMO University, Russia

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Mr. Simar Muratov has a strong educational background in the field of computer science. He completed his studies in Information Security from 2016 to 2020 at Peter the Great St.Petersburg Polytechnic University. Following this, he pursued Artificial Intelligence and Machine Learning from 2020 to 2022, again at Peter the Great St.Petersburg Polytechnic University. Currently, he is studying Theoretical Informatics at ITMO University, with an expected completion date in 2025. This diverse educational journey indicates a well-rounded understanding of various aspects of computer science and technology.

Summary:

Mr. Simar Muratov holds a Master’s degree in Mathematics and Computer Science, specializing in Artificial Intelligence and Machine Learning, from Peter the Great St. Petersburg Polytechnic University. Currently, he works as a DevOps engineer in the infrastructure automation team at Sberbank of Russia, while also pursuing a Ph.D. in Theoretical Informatics at ITMO University. During his university years, he began working on a secure big data lake framework and has since gained expertise in developing CI/CD pipelines, customizing IaaC solutions, and designing architectures. Mr. Muratov is actively improving his skills in DevSecOps, MLOps, and cloud computing (SberCloud, YandexCloud). He holds certifications in Azure cloud services (AZ-900 and AI-900) and is preparing for the AWS Solutions Architect Associate certification, in addition to completing corporate training within the company.

Experience:

Mr. Simar Muratov has been employed as a DevOps engineer in the infrastructure development team at Sberbank of Russia since 2023. In this role, he is responsible for various tasks such as developing Ansible playbooks and roles, supporting server configuration setup, and administering Linux and PostgreSQL DBMS. Additionally, he is involved in the development of automation scripts in Python/bash, administration of k8s/OpenShift clusters, implementation of custom terraform modules, and setting up monitoring and logging systems. During his tenure, Mr. Muratov successfully addressed three key challenges, including creating a unified gateway inventory for component-based stands, developing a unified ansible inventory format for job customization, and implementing nginx PL/SPF auditing to streamline configuration alignment and monitor certificate expiry dates.

Skills:

Mr. Simar Muratov is proficient in a wide range of programming languages, DevOps tools, cloud computing, administration, build tools, and additional skills in data science, data engineering, databases, quality assurance, management, and documentation. He is certified in Python and also has expertise in C++. His scripting languages include bash and groovy. In DevOps, he has experience with version control (Github, BitBucket, GitLab), CI/CD tools (Jenkins, TeamCity, GitLab CI, CircleCI), and distribution repositories (Nexus, Artifactory, DockerHub, Azure CR). He is skilled in containerization/orchestration (Docker, docker-compose, docker-swarm, k8s, Openshift), configuration/infrastructure management (Ansible, Terraform), and cloud computing (AWS, Azure certified, SberCloud). Mr. Muratov is proficient in Linux and Windows administration and various build tools (make, maven, sbt, gradle, npm, PyInstaller, Cython, PyPy). His side skills include data science (Tensorflow, sklearn, numpy, pandas, matplotlib, seaborn, R, DVC, MLFlow), data engineering (Apache Spark, Apache Airflow, Apache Kafka, Redis, CTL, YARN, oozie, HDFS), databases (PostgreSQL, MongoDB, Apache HBase, ClickHouse, Greenplum), quality assurance (Selenium, PyTest, Lettuce, Robot), management (Jira), and documentation (Confluence). He is proficient in English (B2+) and has basic knowledge of German (A1).

Projects:

Mr. Simar Muratov has been involved in several notable projects, including the development of a secure operating system for the Parrot AR Drone 2.0, utilizing “iptables” rules and a proprietary cryptographic protocol. He has also demonstrated his skills in creating tasks for Yandex Alice’s “Tasks from Fractal” using Java, Maven, Tomcat, J2SE, servlets, JSON, XML, and PostgreSQL. The prototype for this project was hosted on Amazon services. Additionally, Mr. Muratov has worked on mobile device security tools leveraging deep learning and artificial intelligence hardware support, developed using TensorFlow Lite. He has contributed to the architecture of a secure big data lake framework and is currently involved in real-time log anomaly detection. His recent pet projects include a machine learning model project template implementing MLOps practices and an in-house developed matrix multiplication module for Python using Cython.

 

 

Ms. Brittany Ho | Machine Learning | Best Researcher Award

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Ms. Brittany Ho | Machine Learning | Best Researcher Award

Ph.D. Scholar at Climate Change , Beijing Normal University, China

👨‍🎓She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Brittany Ho is currently pursuing a Bachelor of Science in Computer Science at the University of the Pacific, with an anticipated graduation date in Fall 2024. She has consistently achieved high academic performance, earning a place on the Dean’s Honor Roll with a GPA of 3.88 out of 4.00. Brittany’s coursework has focused on areas relevant to her field, including Artificial Intelligence, Computer Game Technologies, Computer Systems & Networks, and Analytics Computing Data Science. Her dedication to her studies and her coursework selection demonstrate her commitment to gaining a well-rounded understanding of computer science 🎓.

Skills:

Ms. Brittany Ho is proficient in several programming languages, including Java (advanced), C++ (advanced), Python (intermediate), Swift (beginner), and R (beginner). Her technical skills extend to working with relational databases, the MQTT protocol, the Linux operating system, GPT 3.5 Turbo, Logic Pro, and Unity. Additionally, she holds certifications and has completed training in various areas such as IP Addressing (LinkedIn), Cloud Computing (Coursera), Arduino Foundation (LinkedIn), MacOS System Administrators (LinkedIn), Unity Essentials (Unity), C# with Unity (LinkedIn), Social and Behavioral Research (CITI), and Learning Deep Learning (NVIDIA). 🖥️📊🔧

Projects and Research:

Ms. Brittany Ho has been making significant contributions in her roles. As a Performance Engineer Intern at NVIDIA Corporation, she is involved in comprehensive GPU performance benchmarking for High-Performance Computing (HPC) and Deep Learning (DL) frameworks and applications. Her responsibilities include developing Python scripts for automating testing and collaborating with the engineering team to troubleshoot and resolve performance issues, gaining valuable hands-on experience in problem-solving. Additionally, at the University of the Pacific, as a Research Assistant, she has played a pivotal role in developing an advanced NLP and Generative AI tool using Python and GPT 3.5 Turbo, contributing to a book chapter on “Machine Learning in Educational Sciences,” and leading a journal publication on ChatGPT integration in an NLP framework for targeted user review analysis. 🚀🔬👩‍💻

 

 

Mr.Syamasudha Veeragandham | Deep learning | Best Researcher Award

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Mr.Syamasudha Veeragandham| Deep learning | Best Researcher Award

Research Scholar, Vellore Institute of technology, Vellore

👨‍🎓She remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 She successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

EDUCATION:

The user is currently pursuing a full-time Ph.D. in the School of Computer Science and Engineering at Vellore Institute of Technology-Vellore, starting from July 2019. They have previously completed an M.Tech in Computer Science and Engineering from PBR Visvodaya Institute of Technology, Kavali, affiliated with J.N.T.U.A, A.P, with an aggregate of 74.07% in 2011. Their undergraduate degree is a B.Tech in Computer Science and Engineering from Chadalawada Ramanamma Engineering College, Tirupati, with an aggregate of 60.78% in 2009. They completed their Intermediate education in M.P.C from Sri Sai Junior College, Kavali, with a percentage of 87.1% in 2005, and their SSC from Z.P.H. School, Gudlur, with a percentage of 61.00% in 2003.

EXPERIENCE:

The user has accumulated 8 years of teaching experience as an Assistant Professor in the CSE department at various institutions, including Annamacharya Institute of Technology & Sciences-Tirupati, Sree Rama Engineering College-Tirupati, and Ramireddy Subbaramireddy Engineering College-Kavali. They have been ratified as an assistant professor from JNTU-Anathapuramu. Their teaching portfolio includes a wide range of subjects at both undergraduate and postgraduate levels, such as Artificial Intelligence, Machine Learning, Deep Learning, Computer Organization, Microprocessors and interfacing, Computer Graphics, Data Mining, Data Warehousing, Discrete Mathematics (MFCS), C-Programming, Data Structures, Advanced Computer Network, and Java and Web Technologies. Additionally, they have guided numerous B.Tech and M.Tech projects, with 12 and 5 projects guided, respectively. In addition to teaching, they have taken on various administrative responsibilities, including acting as an in-charge for CO’S, PO’S, PSO’S, PEO’S in NBA and NAAC, as well as serving as a time-table in-charge, class in-charge, and project coordinator.

Syamasudha Veeragandham ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 33, Since 2018: 31
  • Citations: 33 (All), 31 (Since 2018)
  • h-index: 4 (All), 4 (Since 2018)
  • i10-index: 1 (All), 1 (Since 2018)

These metrics showcase the impact of Veeragandham ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

WORKSHOPS ATTENDED:

The user has actively participated in a wide array of workshops and training sessions covering diverse topics. These include sessions on Virtualization and Cloud Computing, Implementation of ICT in Engineering Education, Design of Experiments-Research Orientation, Industrial IoT training using LoRaWAN Technology, Deep drive into Machine Learning Algorithms for Natural Language Processing, Machine Learning for IOT Data Analysis using Raspberry pi and Tensor flow, Deep Learning Concepts with Convolutional Neural Network, Deep Drive in Cloud computing and hands-on Kubernetes, Effective Tools and Methodologies for NLP and Computational Linguistics, Emerging Trends and Research Directions in Cryptography and Information Security, Laughter yoga-The Hilarious Stress Buster, IoT in Cybersecurity, Accreditation: Its Benefits –Multidisciplinary approach, Mathematica for Education & Research, Developing Blockchain-based Smart Contracts on Ethereum using Solidity Language, Web 3.0 and Semantic Web, Statistical tools for effective research, Addressing challenges in medical image processing using Deep learning techniques, an Online user awareness session to demonstrate Springer Nature platforms, Fitness is your wealth, FOP-HR Policies, Avoiding Common Errors in English, Assessment of Python programming using MoodleCoderunner/VPL, Recent trends in Machine/Deep Learning for Computer Vision and Biomedical Applications, AI Tools for Scientific writing, Machine Learning and Deep Learning techniques in applied research, and A practical approach to real-world problems using AI and Deep Learning.

RESOURCE PERSON:

The user has actively contributed as a resource person at several engineering colleges, where they conducted training sessions for faculty members on Outcome-Based Curriculum, Cooperative and Collaborative Learning, Designing Question Papers, and Outcome-Based Assessment. Their engagements included sessions at Annamacharya Institute of Technology and Sciences-Tirupati, Nalla Narasimha Reddy Education Society’s Group of Institutions-Hyderabad, and Sree Venkateswara College of Engineering-Nellore.

CERTIFICATIONS ON OUTCOME BASED EDUCATION:

The user has actively pursued professional development in the field of education and curriculum design. They completed the IUCEE International Engineering Educator Certification program in three phases through APSSDC from January 2018 to July 2018. Additionally, they attended a one-week workshop on Curriculum Design, Measurement, and Evaluation through NITTTR-Kolkata from November 22, 2016, to November 27, 2016. They also participated in a one-week workshop on Outcome-Based Education and accreditation through NITTTR-Kolkata from September 24, 2018, to September 28, 2018. Furthermore, they attended a one-week workshop on Evaluating Students’ Performance and Designing Question Papers through NITTTR-Kolkata from February 25, 2019, to March 1, 2019.

Publications:

A review on the role of machine learning in agriculture

  • Published in Energy in 2020 with 11 citations.

A detailed review on challenges and imperatives of various CNN algorithms in weed detection

  • Published in Energy in 2021 with 8 citations.

Role of IoT, image processing and machine learning techniques in weed detection: a review

  • Published in Energy in 2022 with 6 citations.

Effectiveness of convolutional layers in pre-trained models for classifying common weeds in groundnut and corn crops

  • Published in Energy in 2022 with 4 citations.

The Solutions of SQL Injection Vulnerability in Web Application Security

  • Published in Energy in 2019 with 2 citations.

Assist Prof Dr. Mahmoud Emam | Image Generation | Best Researcher Award

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Assist Prof Dr. Mahmoud Emam : Leading Researcher in Image Generation

Hangzhou Dianzi University  at Image Generation, School of Computer Science and Technology, China

He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Dr. Mahmoud Emam is an Assistant Professor with a strong background in Computer Science and Technology. He earned his Ph.D. from the Research Institute of Information Countermeasure Techniques at the School of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R. China, where he conducted research in his field. Prior to his doctoral studies, Dr. Emam completed his M.Sc. in Computer Science at the Computer Science Division, Faculty of Science, Menoufia University, Shebin Elkoom, Menoufia, Egypt, where he laid the foundation for his academic journey. He also underwent pre-courses for M.Sc. in Computer Science at the same institution. Dr. Emam’s academic journey began with a B.Sc. in Pure Mathematics and Computer Science from the Computer Science Division, Faculty of Science, Menoufia University, Shebin Elkoom, Menoufia, Egypt, where he developed a strong foundation in his field. His academic pursuits and research contributions reflect his dedication to advancing knowledge in Computer Science and Technology.

Research Interests:

Dr. Mahmoud Emam‘s research interests are centered around several key themes in computer science, including Digital Image Processing, Multimedia Security, Pattern Recognition, and Computer Vision. His expertise extends to the specialized area of Digital Image and Video Forensics, where he applies his knowledge to analyze and enhance the security of digital media. Dr. Emam’s work in these fields demonstrates his commitment to advancing the understanding and application of computer science principles, particularly in the context of digital media and information security.

Experience:

Dr. Mahmoud Emam has a diverse professional background spanning both teaching and research roles. His career began in 2007 when he served as a Teaching Assistant in computer science at the Computer Science Division, Faculty of Science, Menoufia University, Egypt, where he contributed to the education and development of students in the field of computer science. In 2013, he transitioned into a research-focused role as a Research Associate (Ph.D. Candidate) at the Research Institute of Information Countermeasure Techniques, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R. China. During this time, he was actively engaged in research activities related to his doctoral studies. Following the completion of his Ph.D., Dr. Emam assumed the role of Assistant Professor of Computer Science at the Computer Science Division, Faculty of Science, Menoufia University, Egypt, where he continued to contribute to both teaching and research. His dedication to academia and research led to his appointment as an Assistant Professor at the Machine Intelligence Department, Faculty of Artificial Intelligence, Menoufia University, Egypt, starting in January 2022. In November 2022, he took on the position of a Postdoctoral Research Fellow at the Shangyu Institute of Science and Engineering Co., Ltd., Hangzhou Dianzi University, Hangzhou 310018, Zhejiang, China, where he is involved in advanced research endeavors. Throughout his career, Dr. Emam has demonstrated a strong commitment to both academic instruction and cutting-edge research, positioning himself as a valuable contributor to the fields of computer science, artificial intelligence, and machine intelligence.

Publication:

Fabric defect detection based on saliency map and keypoints

Frame Duplication Forgery Detection in Surveillance Video Sequences Using Textural Features

Anti-pruning multi-watermarking for ownership proof of steganographic autoencoders

Fast Frequency Domain Screen-Shooting Watermarking Algorithm Based on ORB Feature Points

Spatiotemporal fusion for spectral remote sensing: A statistical analysis and review

A Novel Hybridoma Cell Segmentation Method Based on Multi-Scale Feature Fusion and Dual Attention Network

A Sketch-Based Generation Model for Diverse Ceramic Tile Images Using Generative Adversarial Network

Data Augmentation and Few-Shot Change Detection in Forest Remote Sensing

Semi-Supervised Remote Sensing Image Semantic Segmentation Method Based on Deep Learning