Dr. Manvi Breja | Cloud Computing | Best Researcher Award

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Dr. Manvi Breja | Cloud Computing | Best Researcher Award

Dr. Manvi Breja, Northcap university, India

Dr. Manvi Breja is an accomplished Assistant Professor and researcher specializing in Natural Language Processing (NLP), Artificial Intelligence, and Data Mining. Holding a Ph.D. in Computer Science from NIT Kurukshetra, her doctoral research focused on non-factoid question-answering systems. With over a decade of academic and industry experience, Dr. Breja has taught core computer science courses, authored 20+ impactful publications, and contributed as a reviewer for prestigious journals. She has held prominent roles at universities like Gurugram University, NorthCap University, and Manav Rachna University. Dr. Breja has also contributed to computational linguistics through edited books and technical committee leadership. Her commitment to research, innovation, and teaching excellence has earned her accolades and awards, inspiring her to advance academic pursuits in NLP, AI, and beyond.

Professional Profile:

Google scholar

Scopus

Suitability For Best Researcher Award:

Dr. Manvi Brejaā€™s extensive contributions to research in NLP and Information Retrieval, her robust academic record, and her commitment to advancing knowledge through publications and technical roles make her an outstanding candidate for the Best Researcher Award. Her work not only demonstrates academic excellence but also bridges theoretical research with practical applications, impacting fields like artificial intelligence and data mining.

šŸŽ“ EducationĀ 

Dr. Manvi Breja’s educational journey highlights her unwavering commitment to academic excellence. She earned her Ph.D. in Computer Science from NIT Kurukshetra, graduating with an impressive 9.75/10 CGPA. Her doctoral research focused on non-factoid question-answering systems, showcasing her expertise in advanced AI applications. She completed her M.Tech in Information Technology at YMCA University with a stellar 9.7/10 CGPA, earning the prestigious Dean Merit Award. Her undergraduate studies in Computer Science and Engineering were marked by scholarships and awards for outstanding academic performance. Additionally, Dr. Breja has demonstrated exceptional aptitude through multiple GATE qualifications with top percentiles in 2012, 2013, and 2015, as well as her CBSE UGC-NET and JRF qualification, where she ranked among the top 72 candidates nationally. These achievements have laid a strong foundation for her robust career in artificial intelligence and data science.

šŸ’¼ Experience

Dr. Manvi Brejaā€™s professional journey exemplifies her dedication to teaching, research, and innovation. She is currently an Assistant Professor (Contractual) at Gurugram University (2022ā€“2024), where she spearheads the NLP and AI curriculum while mentoring graduate researchers. Previously, she served as an Assistant Professor (Senior Scale) at NorthCap University (2018ā€“2020), where she taught advanced courses in AI and machine learning and managed program coordination. Her earlier tenure as an Assistant Professor at Manav Rachna University (2014ā€“2018) was marked by significant contributions to NLP research and departmental growth. Throughout her career, Dr. Breja has seamlessly balanced academic instruction with impactful research, further enhancing her profile through active participation in technical committees and her role as a reviewer for high-impact journals. Her professional experience reflects her unwavering commitment to excellence and her passion for advancing AI and data science education.

šŸ…Awards and HonorsĀ 

Dr. Manvi Brejaā€™s illustrious academic and professional career is adorned with numerous awards and recognitions. She received the prestigious Dean Merit Award for exceptional performance during her M.Tech at YMCA University. Her technical proficiency and dedication are further validated by her multiple GATE qualifications, where she consistently achieved top percentiles in 2012, 2013, and 2015. She also excelled in the CBSE UGC-NET and JRF examinations, securing a top national rank of 72. Demonstrating her commitment to lifelong learning, Dr. Breja earned top-tier NPTEL certifications, ranking in the top 2% for Cryptography & Network Security and the top 5% for Social Networks. Her academic distinction was recognized early on, with consistent scholarships and awards throughout her undergraduate and postgraduate studies. These accolades underscore her excellence in the field of computer science and her dedication to academic and professional advancement.

šŸ”Research Focus

Dr. Manvi Brejaā€™s research delves into cutting-edge areas at the intersection of artificial intelligence and language technologies. Her work prominently focuses on developing advanced non-factoid question-answering systems to tackle complex queries. She has also contributed to social network analysis, exploring network dynamics for meaningful real-world applications, and text and web analytics, uncovering insights from unstructured data through sophisticated AI and NLP techniques. Dr. Brejaā€™s research emphasizes practical applications, bridging the gap between computational linguistics and artificial intelligence to address real-world challenges in information retrieval and data processing. Her innovative approaches have paved the way for impactful contributions in the fields of NLP, machine learning, and AI-driven technologies, with her research consistently aiming to drive meaningful advancements in academia and industry.

Publication Top Notes:

 

Prof. Xiaodi Liu | Cloud model Awards | Best Researcher Award

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Prof. Xiaodi Liu | Cloud model Awards | Best Researcher Award

Prof. Xiaodi Liu, Anhui University of Technology, China

Dr. Xiaodi Liu is a distinguished Professor in the Department of Data Science at the School of Microelectronics & Data Science, Anhui University of Technology. His research interests span across big data, decision analysis, emergency management, complex system modeling, and social networks. Dr. Liu teaches courses such as Decision Analysis, Fuzzy Mathematics, Linear Algebra, and Advanced Mathematics. He has secured multiple prestigious grants, including those from the National Social Science Foundation of China, National Natural Science Foundation of China, and the Humanities and Social Sciences Foundation of the Ministry of Education of China. His dedication to research and teaching significantly contributes to advancements in data science.

Professional Profile:

Orcid
Scopus

šŸŽ“Ā Education

Prof. Xiaodi Liu completed his Ph.D. in Economics and Management at Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, CN, from 2012 to 2015. His research focuses on areas within economics and management, reflecting his commitment to advancing knowledge in these fields.

šŸ‘Øā€šŸ« Employment

Prof. Xiaodi Liu is currently employed at Anhui University of Technology in Ma’anshan, China, where he serves in the School of Mathematics & Physics. His professional focus encompasses research and teaching within the academic realm, contributing to the advancement of mathematical and physical sciences at his institution.

šŸ†Ā Research Interests

Prof. Xiaodi Liu is a dedicated researcher with a diverse array of interests spanning big data, decision analysis, emergency management, complex system modeling, and social networks. With a robust academic background and extensive research experience, Prof. Liu contributes significantly to advancing knowledge in these critical areas, aiming to enhance understanding and improve practices in complex systems and societal challenges.

Publication Top Notes:

  • Title: Large group emergency decision-making with bi-directional trust in social networks: A probabilistic hesitant fuzzy integrated cloud approach
    • Year: 2024
    • Cited By: 4
  • Title: Analysis of distance measures in intuitionistic fuzzy set theory: A line integral perspective
    • Year: 2023
    • Cited By: 5
  • Title: A two-stage multi-attribute group consensus model based on distributed linguistic assessment information from the perspective of fairness concern
    • Year: 2023
    • Cited By: 1
  • Title: Two-rank multi-attribute group decision-making with linguistic distribution assessments: An optimization-based integrated approach
    • Year: 2023
    • Cited By: 3
  • Title: Large group decision-making based on interval rough integrated cloud model
    • Year: 2023
    • Cited By: 8

 

 

Mrs. Geetha Rani | Cloud Network Award | Best Researcher Award

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Mrs. Geetha Rani | Cloud Network Award | Best Researcher Award

Mrs. Geetha Rani, Gitam University, India

šŸŒŸ Mrs. Geetha Rani, hailing from Gitam University, India, is a distinguished academic with a Ph.D. in Computer Science and Engineering. Her doctoral thesis, “Ensuring Data Storage Security in Cloud Computing using Cryptographic Mechanisms,” underscores her expertise in the realm of cybersecurity. With an MBA in Human Resources and a plethora of certifications from platforms like NPTEL and Coursera, she continually enriches her knowledge base. Mrs. Geetha Rani’s prowess extends beyond academia; she’s renowned for her contributions to NBA and NAAC criteria work, alongside curriculum supervision for autonomous syllabi. Her career embodies a harmonious blend of teaching, research, and administrative excellence. šŸŽ“

Professional Profile:

Google scholar

Orcid

Educational Background šŸŽ“

  • Ph.D. (Computer Science and Engineering) – Gitam University, Nagandenahalli, Bengaluru (Submitted Thesis: “Ensuring Data Storage Security in Cloud Computing using Cryptographic Mechanisms”)
  • MBA (Human Resources) – Acharya Nagarjuna University, Guntur (2011-2013)

Research and Publications šŸ“

Mrs. Geetha Rani has guided numerous research projects and published articles in international journals and conferences. Her research focuses on data storage security in cloud computing using cryptographic mechanisms.

Certifications šŸ“œ

She has completed various certifications and online courses from platforms like NPTEL and Coursera, enhancing her knowledge and skills in her field.

Achievements and Expertise šŸŒŸ

Mrs. Geetha Rani is well-known for her contributions to NBA and NAAC criteria work and curriculum supervision for autonomous syllabi. She has consistently demonstrated excellence in teaching, research, and academic administration throughout her career.

Publication Top Notes:

  1. Using GitHub and Grafana Tools: Data Visualization (DATA VIZ) in Big Data
    • Published in: Computer Vision and Robotics: Proceedings of CVR 2022
    • Year: 2023
    • Summary: This paper explores the use of GitHub and Grafana tools for data visualization in big data contexts.
  2. A Survey of Recent Cloud Computing Data Security and Privacy Disputes and Defending Strategies
    • Published in: CSCT
    • Year: 2022
    • Summary: This survey addresses recent disputes in cloud computing data security and privacy, along with strategies for defense.
  3. A Practical Approach of Recognizing and Detecting Traffic Signs using Deep Neural Network Model
    • Published in: 2022 Fourth International Conference on Emerging Research in Electronics
    • Year: 2022
    • Summary: The study presents a deep neural network model for recognizing and detecting traffic signs.
  4. To Increase Security and Privacy, the QAES Encryption Algorithm is used for Storage of Data for Cloud Computing
    • Published in: 2022 IEEE 19th India Council International Conference (INDICON)
    • Year: 2022
    • Summary: This paper discusses the use of the QAES encryption algorithm to enhance data security and privacy in cloud computing.
  5. Air Quality Predictor to Reduce Health Risks and Global Warming
    • Published in: 2023 2nd International Conference on Automation, Computing and Renewable
    • Year: 2023
    • Summary: The publication focuses on an air quality predictor aimed at reducing health risks and mitigating global warming effects.

 

 

 

 

 

Prof Dr. Zhuzhong Qian | Cloud Networking | Best Researcher Award

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Prof Dr. Zhuzhong Qian | Cloud Networking | Best Researcher Award

Prof Dr. Zhuzhong Qian, Nanjing University, China

Dr. Zhuzhong Qian stands as a distinguished professor at the Department of Computer Science, Nanjing University, contributing significantly to the realm of computer science. šŸŽ“ As a member of the National Key Laboratory of Software New Technology and deputy director of the Network and Distributed Computing Committee of the Jiangsu Computer Society, he plays a pivotal role in advancing research and collaboration. šŸŒ Driven by a commitment to excellence, he was selected for Jiangsu Province’s 333 High-level Talent Training Program and conducted impactful research visits in Japan and Canada in 2008 and 2009, respectively. šŸŒ Dr. Qian’s leadership extends to various research projects, funded by esteemed entities like the National Natural Science Foundation and Ministry of Education-China Mobile Science Research Fund, showcasing his prowess in securing and executing critical initiatives. šŸ’” His extensive involvement in national and provincial scientific research projects, coupled with industry collaborations with giants like Huawei and Tencent, underscores his influence in bridging academia and industry. šŸ¤ Dr. Qian’s prolific research, with over 100 papers published in prestigious journals and conferences, has earned him several best paper awards and nominations. šŸ† His impact on student development is evident through the recognition of his doctoral students in the 2015 ACM China Outstanding Doctoral Dissertation Award and undergraduate students receiving the 2017 Jiangsu Province Outstanding Graduation Thesis First Prize. šŸ‘Øā€šŸ«šŸ”¬

šŸŽ“Ā Education :

Dr. Zhuzhong Qian is a distinguished individual with a Ph.D. degree in computer science from Nanjing University (NJU), earned in 2007. šŸŽ“ His academic journey reflects a commitment to excellence and a passion for advancing the field of computer science. Dr. Qian’s expertise undoubtedly contributes to the ever-evolving landscape of technology, making him a noteworthy figure in the realm of academia. šŸ‘Øā€šŸ’»šŸ”

šŸŒĀ Professional Profiles :

Scopus

Google Scholar

šŸ’» Teaching :

Dr. Zhuzhong Qian’s dedication to education is evident through the diverse range of courses he has taught, showcasing his expertise in computer science. šŸ“š Over the years, he has guided students through courses such as Algorithms Design and Analysis, demonstrating his commitment to fostering a deep understanding of complex computational concepts. šŸ’» His involvement in the Elite Program of Computer Science since 2011, teaching Problem Solving, reflects a commitment to nurturing the intellectual growth of aspiring computer scientists. šŸŒ Additionally, Dr. Qian’s recent contributions include courses like Distributed Systems and Computational Thinking in the fall of 2021, demonstrating his adaptability in addressing contemporary challenges in the field. šŸš€ Despite the NJU Online Judge being under maintenance, it underscores his engagement in practical platforms for hands-on learning. šŸ› ļø Dr. Zhuzhong Qian’s teaching portfolio reflects not only his comprehensive knowledge but also his passion for shaping the next generation of computer science professionals. šŸ‘Øā€šŸ«

šŸ§ Research Interests šŸ”¬šŸŒ :

Dr. Zhuzhong Qian’s research interests revolve around cutting-edge domains, with a focus on Distributed Systems, Cloud Computing, and Edge Computing. šŸŒ His exploration of Distributed Systems delves into the intricacies of networked computing, aiming to enhance the efficiency and reliability of interconnected systems. ā˜ļø In the realm of Cloud Computing, Dr. Qian contributes to the evolution of scalable and accessible computing resources, optimizing the utilization of cloud-based technologies. šŸš€ Furthermore, his interest in Edge Computing reflects a commitment to pushing the boundaries of computation, bringing processing closer to data sources for improved real-time responsiveness. šŸŒŸ Dr. Zhuzhong Qian’s research endeavors not only align with the forefront of technological advancements but also hold the promise of shaping the future landscape of distributed and decentralized computing systems. šŸ‘Øā€šŸ’»

šŸ“šĀ Publication Impact and Citations :

Scopus Metrics:

  • šŸ“Ā Publications: 169 documents indexed in Scopus.
  • šŸ“ŠĀ Citations: A total of 1,785 citations for his publications, reflecting the widespread impact and recognition of Dr. Zhuzhong Qian’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 2628 šŸ“–
    • h-index: 25Ā  šŸ“Š
    • i10-index: 60 šŸ”
  • Since 2018:
    • Citations: 1476 šŸ“–
    • h-index: 21 šŸ“Š
    • i10-index: 35 šŸ”

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

Publications Top NotesĀ  :

1.Ā  Energy efficient virtual machine placement algorithm with balanced and improved resource utilization in a data center

Journal: Mathematical and Computer Modelling, 2013

Cited by: 238

2.Ā  Joint configuration adaptation and bandwidth allocation for edge-based real-time video analytics

Journal: IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 2020

Cited by: 147

3.Ā  Virtual network embedding with opportunistic resource sharing

Journal: IEEE Transactions on Parallel and Distributed Systems, 2013

Cited by: 133

4.Ā  An opportunistic resource sharing and topology-aware mapping framework for virtual networks

Journal: 2012 Proceedings IEEE INFOCOM

Cited by: 113

5.Ā  P3: Joint optimization of charger placement and power allocation for wireless power transfer

Journal: 2015 IEEE Conference on Computer Communications (INFOCOM)

Cited by: 101