Dr. Brijesh Kumar Chaurasia | Smart Technology Awards | Best Researcher Award

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Dr. Brijesh Kumar Chaurasia | Smart technology Awards | Best Researcher Award

Dr. Brijesh Kumar Chaurasia , Pranveer Singh Institute of Technology, Kanpur, India

Dr. Brijesh Kumar Chaurasia is a distinguished academic and researcher specializing in network security, with a primary focus on Vehicular Ad hoc Networks, Trust Management in VANETs, Blockchain, cloud authentication, and IoV/IoT. He earned his Ph.D. in Privacy Preservation in Vehicular Ad-hoc Networks from IIIT-Allahabad in 2013 and his M. Tech in Computer Science and Engineering from DAVV-Indore in 2006. With over 22 years of teaching experience and 4+ years in research and development, Dr. Chaurasia currently serves as a Professor and Dean of Research and Innovation at Pranveer Singh Institute of Technology, Kanpur. He has previously taught at ITM Group in Gwalior and IIIT Lucknow. He has been a principal investigator on several research grants, supervised numerous Ph.D. and postgraduate theses, and holds patents in IoT and smart systems. Dr. Chaurasia is actively involved in professional activities as a Senior Member of IEEE, Fellow of IETE, and member of IE and CSI. He has contributed to international journals and participated in various FDPs and workshops, showcasing his commitment to advancing knowledge and innovation in his field.

Professional Profile:

Google Scholar

šŸŽ“ Education:

Dr. Brijesh Kumar Chaurasia earned his Ph.D. in Computer Science and Engineering from IIIT-Allahabad, India, with his thesis focusing on Privacy Preservation in Vehicular Ad-hoc Networks. This prestigious degree was awarded on April 12, 2013, marking a significant milestone in his academic journey. Prior to his doctoral studies, Dr. Chaurasia completed his Master of Technology in Computer Science and Engineering from DAVV-Indore, India, in 2006. These educational accomplishments laid a strong foundation for his subsequent research and professional endeavors in the field of network security and technology.

šŸ’¼ Employment and Experience:

Dr. Chaurasia has a combined experience of over 27 years in Research & Development, Teaching, and Industry. Currently, he serves as a Professor in Computer Science and Engineering & Dean Research and Innovation at Pranveer Singh Institute of Technology, Kanpur. Previously, he held teaching positions at ITM Group, Gwalior, MP, India, and Indian Institute of Information Technology, Lucknow.

šŸ” Research Grants:

He has been involved in various research projects as Principal Investigator and Expert Member, securing grants for projects related to Hindi News portal development, IoT implementation and security, web redesigning, and Automatic Number Plate Recognition.

Publication Top Notes:

  1. Trust based location finding mechanism in VANET using DST
    • K Sharma, BK Chaurasia
    • 2015 Fifth International Conference on Communication Systems and Network, 2015
    • Cited by 66
  2. Message broadcast in VANETs using group signature
    • BK Chaurasia, S Verma, SM Bhasker
    • 2008 Fourth International Conference on Wireless Communication and Sensor Networks, 2008
    • Cited by 65
  3. Infrastructure based authentication in VANETs
    • BK Chaurasia, S Verma
    • International Journal of Multimedia and Ubiquitous Engineering, 2011
    • Cited by 54
  4. State of the art of data dissemination in VANETs
    • P Tomar, BK Chaurasia, GS Tomar
    • International Journal of Computer Theory and Engineering, 2010
    • Cited by 47
  5. Hiding sensitive association rules without altering the support of sensitive item(s)
    • D Jain, P Khatri, R Soni, BK Chaurasia
    • Advances in Computer Science and Information Technology. Networks and Communications, 2012
    • Cited by 43

 

 

 

Mr. Asif Mehmood | Artificial intelligence Awards | Best Researcher Award

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Mr. Asif Mehmood | Artificial intelligence Awards | Best Researcher Award

Mr. Asif Mehmood, National university of technology, Pakistan

Asif Mehmood is a dedicated professional with a strong academic background and diverse expertise in computer sciences. Currently pursuing a PhD in Computer Sciences at COMSATS University Islamabad, Wah Campus, he holds a Master’s degree and a Bachelor’s degree in the same field. With a keen interest in machine learning and deep learning, Asif has contributed to notable publications in prestigious journals, focusing on human gait recognition and biometric techniques. His experience spans from research associate roles to lecturing positions at HITEC University Taxila, showcasing his commitment to academia and research. Asif’s technical proficiency includes programming languages such as MATLAB, JavaScript, and Java, along with extensive experience in project development and academic projects. He resides in Attock, Punjab, Pakistan, and is open to providing references upon request.

Professional Profile:

Scopus

šŸŽ“ Education:

Asif Mehmood has pursued a remarkable academic journey, demonstrating consistent excellence in his educational endeavors. He commenced his formal education with a Bachelor of Science in Computer Sciences (BSCS) from the University of Wah, spanning from 2013 to 2017, where he attained a commendable CGPA of 3.46 out of 4.0. Building upon this foundation, he pursued a Master of Science in Computer Sciences (MSCS) at COMSATS University Islamabad, Wah Campus, from 2018 to 2020, achieving an impressive CGPA of 3.84. Asif further advanced his academic pursuits by undertaking a PhD in Computer Sciences at the same institution, currently in progress, with an outstanding CGPA of 3.94 thus far.

šŸ’¼ Experience:

Asif Mehmood has enriched his professional experience through roles at HITEC University Taxila. He commenced as a Research Associate in January 2022, where he actively contributed to research endeavors until June 2022. Building upon his expertise, Asif transitioned into the role of Lecturer in Computer Science at the same institution in September 2022, a position he currently holds. These roles have allowed Asif to apply his academic knowledge and research skills in a practical setting while also nurturing the next generation of computer science professionals through teaching and mentorship.

šŸ“ Projects:

Asif Mehmood has demonstrated his proficiency in software development and research through various notable projects. Among these, he developed a Document Clustering Search Engine using Java and MySQL, showcasing his skills in both programming and database management. Additionally, his thesis focused on Prosperous Human Gait Recognition, employing Machine Learning techniques within MATLAB, highlighting his expertise in this advanced field. Furthermore, Asif has undertaken diverse academic projects encompassing Assembly Language programming, Android app development, and web development, reflecting his versatility and innovative approach to problem-solving in the realm of computer science.

Publication Top Notes:

  1. Human Gait Recognition by using Two Stream Neural Network along with Spatial and Temporal Features
    • Authors: Mehmood, A.; Amin, J.; Sharif, M.; Kadry, S.
    • Journal: Pattern Recognition Letters, 2024, 180, pp. 16ā€“25
    • Citations: 0
  2. Prosperous Human Gait Recognition: an end-to-end system based on pre-trained CNN features selection
    • Authors: Mehmood, A.; Khan, M.A.; Sharif, M.; Riaz, N.; Ashraf, I.
    • Journal: Multimedia Tools and Applications, 2024, 83(5), pp. 14979ā€“14999
    • Citations: 24
  3. TS2HGRNet: A paradigm of two stream best deep learning feature fusion assisted framework for human gait analysis using controlled environment in smart cities
    • Authors: Khan, M.A.; Mehmood, A.; Kadry, S.; Alsubai, S.; Alqatani, A.
    • Journal: Future Generation Computer Systems, 2023, 147, pp. 292ā€“303
    • Citations: 3
  4. Human gait analysis for osteoarthritis prediction: a framework of deep learning and kernel extreme learning machine
    • Authors: Khan, M.A.; Kadry, S.; Parwekar, P.; Khan, J.A.; Naqvi, S.R.
    • Journal: Complex and Intelligent Systems, 2023, 9(3), pp. 2665ā€“2683
    • Citations: 23
  5. Human gait recognition: A deep learning and best feature selection framework
    • Authors: Mehmood, A.; Khan, M.A.; Tariq, U.; Mostafa, R.R.; ElZeiny, A.
    • Journal: Computers, Materials and Continua, 2021, 70(1), pp. 343ā€“360
    • Citations: 8

 

 

Mr. Liu Weicheng | Technology | Best Researcher Award

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Mr. Liu Weicheng | Technology | Best Researcher Award

Mr. Liu Weicheng, Shandong University of Science and Technology, China

Mr. Liu Weicheng is an accomplished Web Front-end Development Engineer, currently pursuing a Master’s Degree in Ship and Ocean Engineering at Shandong University of Science and Technology. With a Bachelor’s Degree in Automation from the same institution, he brings a wealth of experience in web development, having worked at both Shandong University of Science and Technology. In addition to his professional endeavors, Liu is dedicated to advancing research in areas such as multi-sensor information fusion and communication rate control. His academic excellence, reflected in his impressive GPAs and receipt of the National First-Class Scholarship, underscores his commitment to excellence in both academia and industry. šŸŒšŸš€

Professional Profile:

Orcid

šŸŽ“ Educational Background:

  • Master’s Degree: Ship and Ocean Engineering, Shandong University of Science and Technology (2022 – Present)
  • Bachelor’s Degree: Automation, School of Electrical and Automation Engineering, Shandong University of Science and Technology (2018 – 2022)

šŸ¢ Work Experience:

  • Web Front-end Development Engineer, Hangzhou XX Technology Co., Ltd. (2018.12 – Present)
    • Designed, developed, and maintained web and HTML5 products.
    • Developed mobile platform web front-end pages using HTML5 technologies.
    • Created reusable components based on HTML5.0 standards.
  • Web Front-end Development Engineer, Shanghai XX Technology Co., Ltd. (2016.08 – 2018.11)
    • Constructed front-end interfaces for apps and mini-programs.
    • Utilized React Native for front-end development, writing clean, efficient, and testable code.
    • Contributed to the design and technical discussions of core systems to enhance user experience and product usability.

šŸ“š Research Direction:

  • Multi-sensor information fusion
  • Communication rate control based on event-triggered mechanisms
  • Deception and Control of Cyber Deception Attacks
  • Consensus filtering methods for distributed sensor networks

šŸŽ“ Academic Achievements:

  • Master’s GPA: 3.8/4
  • Bachelor’s GPA: 4.6/5
  • Coursework includes Signals and Systems, Integrated Navigation, Modern Signal Processing, Data Structure, Matrix Analysis and Applications, Automatic Control Theory, Digital Signals, Analog Signal, Fundamentals of Sensors, Probability and Statistics, Differential Game.

šŸ… Honors and Awards:

  • Received National First-Class Scholarship for outstanding academic performance during the second year of undergraduate study (2013.09 – 2014.06).
  • Consistently ranked in the top 10 of the class based on academic performance.

Publication Top Notes:

  • Title: Event-triggered sequential fusion filter for nonlinear multi-sensor system with random packet dropout and composite correlated noise
  • Journal: Digital Signal Processing
  • Publication Date: July 2024

 

 

 

 

 

Dr. Saman Iftikhar | Machine learning and Deep learning

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Dr. Saman Iftikhar : Leading Researcher in Machine learning and Deep learning

Dr. Saman Iftikhar, Arab Open University, Saudi Arabia

šŸŽ“ Dr. Saman Iftikhar is an accomplished academician with a distinguished background in Information Technology. Holding a Ph.D. in Information Technology from the School of Electrical Engineering and Computer Sciences (SEECS) at the National University of Science and Technology (NUST) in Islamabad, Pakistan, achieved in October 2014 with an impressive GPA of 3.5/4.0. Earlier, [Name] earned an MS in Information Technology from the same institution in February 2008, with a notable GPA of 3.33/4.0.

šŸ« Currently, Dr. Saman Iftikhar serves as an Assistant Professor at the Arab Open University in Jeddah, Saudi Arabia, since September 2018. In this role, [he/she] passionately imparts knowledge through teaching advanced courses, dedicating 12 credit hours per week. Concurrently, [Name] actively contributes as a member of the Information Technology and Computing (ITC) department Exam Committee, managing all examination-related tasks since September 2021.

šŸŒ Dr. Saman Iftikhar brings international experience to the table, having served as the Chairman of the Software Engineering Department at the University of Prince Mugrin in Medinah, Saudi Arabia, from August 2017 to May 2018. In this capacity, [he/she] skillfully coordinated departmental tasks and played a pivotal role in designing the software engineering bachelor’s degree curriculum and course plan. Driven by a commitment to education, [Name] also supervises students’ graduation projects annually, guiding them through proposals, reports, implementations, and presentations.

šŸ” With a solid academic foundation, a wealth of teaching experience, and a dedication to academic leadership, Dr. Saman Iftikhar continues to make significant contributions to the field of Information Technology and higher education.

Professional Profiles : šŸŒ

Scopus

Google Scholar

ORCID

šŸ§  Research Interests šŸ”¬šŸŒ :

  • šŸ” Information Security
  • šŸ›”ļø Data Security
  • šŸŒ Cyber Security
  • šŸ” Digital Forensics
  • šŸ–„ļø Computer Networking
  • šŸ”—Internet of Things (IoT)
  • šŸ§²Data Mining
  • šŸ“Š Distributed Systems
  • šŸŒ Semantic Web
  • šŸ¤– Artificial Intelligence
  • ā˜ļøšŸ’» Cloud Computing
  • šŸ–„ļø Software Engineering
  • šŸ’½ Databases

šŸ“šĀ Publication Impact and Citations :Ā 

Scopus Metrics:

  • šŸ“Ā Publications: 19 documents indexed in Scopus.
  • šŸ“ŠĀ Citations: A total of 197 citations for his publications, reflecting the widespread impact and recognition of Dr. Saman Iftikhar’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 322 šŸ“–
    • h-index: 8 šŸ“Š
    • i10-index: 7 šŸ”
  • Since 2018:
    • Citations: 255 šŸ“–
    • h-index: 7 šŸ“Š
    • i10-index: 6 šŸ”

šŸ‘Øā€šŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. šŸŒšŸ”¬

Publications ( Top Note ) :

1.Ā  An evolution based hybrid approach for heart diseases classification and associated risk factors identification

Published: 2017, Journal: Biomedical Research, Cited By: 97

2.Ā  RRWā€”A robust and reversible watermarking technique for relational data

Published: 2014, Journal: IEEE Transactions on Knowledge and Data Engineering, Cited By: 88

3.Ā  A reversible watermarking technique for social network data sets for enabling data trust in cyber, physical, and social computing

Published: 2015, Journal: IEEE Systems Journal, Cited By: 22

4.Ā  A survey on reversible watermarking techniques for relational databases

Published: 2015, Journal: Security and Communication Networks, Cited By: 18

5.Ā  Biodiversity of insects associated with sugarcane crop in Faisalabad

Published: 2004, Journal: Pak. Entomol, Cited By: 16

6.Ā  Intelligent data analytics in energy optimization for the internet of underwater things

Published: 2021, Journal: Soft Computing, Cited By: 12

7.Ā  A Novel Blockchain Based Secured and QoS Aware IoT Vehicular Network in Edge Cloud Computing

Published: 2022, Journal: IEEE Access, Cited By: 11

8.Ā  GenInfoGuardā€”a robust and distortion-free watermarking technique for genetic data

Published: 2015, Journal: PloS One, Cited By: 8

9.Ā  Semantic interoperability in E-health for improved healthcare

Published: 2012, Journal: Semant, ACTION-APPLICATIONS Scenar, Cited By: 8

10.Ā  A Semantic Methodology for Customized Healthcare Information Provision

Published: 2012, Journal: Information Sciences Letters, Cited By: 6