Sushama Deshmukh | Computer Science | Best Researcher Award

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Mrs. Sushama Deshmukh | Computer Science | Best Researcher Award

Assistant Professor at JNEC MGMU Aurangabad, India

Summary:

Mrs. Sushama Deshmukh is an experienced academic and researcher with over 17 years in the field of computer engineering. She is currently pursuing her Ph.D. in Computer Engineering from Dr. Babasaheb Ambedkar Marathwada University (Dr. B.A.M.U.), Aurangabad. She holds a Master of Engineering in Computer Science and Engineering from Government Engineering College, Aurangabad, and a Bachelor of Engineering in Information Technology from Jawaharlal Nehru Engineering College, Aurangabad. Mrs. Deshmukh has served as an Assistant Professor at JNEC MGMU and Maharashtra Institute of Technology, Chhatrapati Sambhajinagar, where she has taught various courses including Artificial Intelligence, Machine Learning, Software Engineering, and Cybersecurity. Her research interests span across Artificial Neural Networks, Machine Learning, Security, and Software Engineering. In addition to her academic roles, Mrs. Deshmukh has been involved in developing software applications like the “Software Engineering Virtual Lab Simulator” and the “Vaccination Management System (VACC-IT).” She is also active in professional development, holding certifications in AI, deep learning, natural language processing, and database systems, reflecting her dedication to continuous learning and innovation in the field.

Profile:

Education:

Mrs. Sushama Deshmukh is currently pursuing her Ph.D. in Computer Engineering from Dr. Babasaheb Ambedkar Marathwada University (Dr. B.A.M.U.), Aurangabad, demonstrating her ongoing commitment to advancing her expertise in the field. She holds a Master of Engineering (M.E.) in Computer Science and Engineering from Government Engineering College, Aurangabad, under Dr. B.A.M.U., where she graduated in 2018 with First Division, securing 68.54%. Additionally, she earned a Bachelor of Engineering (B.E.) in Information Technology from Jawaharlal Nehru Engineering College, Aurangabad, in 2006, graduating with Distinction at 66.04%. Mrs. Deshmukh also holds a Diploma in Medical Electronics from Government W.R.P. Latur, completing the program in 2001 with First Division at 60%. Her diverse educational background spans multiple fields, showcasing her deep and versatile understanding of engineering, technology, and interdisciplinary subjects.

Professional Experience:

Mrs. Sushama Deshmukh has accumulated over 17 years of professional experience in academia, primarily in the field of computer engineering. She is currently serving as an Assistant Professor at JNEC MGMU, Chhatrapati Sambhajinagar, since February 2024. Prior to this, she spent 14.2 years at the Maharashtra Institute of Technology, Chhatrapati Sambhajinagar, where she held positions as both an Assistant Professor and Lecturer. During her tenure, she has taught a diverse range of undergraduate courses, including Software Engineering, Artificial Intelligence and Applications, Database Management Systems, and Cybersecurity, among others. In addition to her teaching responsibilities, Mrs. Deshmukh has taken on various leadership roles, such as Training & Placement Coordinator and MoU Coordinator for the Centre of Excellence in Cyber Security and Cyber Forensics. She has also contributed significantly to curriculum development and practical examinations as the Department Practical Exam Coordinator and Lab In Charge. Her involvement in developing software projects, such as the “Vaccination Management System” and “Online Job Assessment and Tracking System,” further underscores her commitment to integrating practical applications with academic instruction.

Research Interests:

Mrs. Sushama Deshmukh’s research interests are diverse and reflect her expertise in several key areas within computer engineering. She is particularly focused on security, where she explores the latest trends and challenges in protecting digital information. Additionally, her work in Artificial Neural Networks (ANN), artificial intelligence (AI), and machine learning encompasses the development of innovative algorithms and applications that enhance data processing and decision-making. Mrs. Deshmukh is also passionate about software engineering, with an emphasis on virtual labs and experiential learning environments that facilitate hands-on education for students. Her M.Tech project on frequent item set mining in large uncertain datasets demonstrates her commitment to advancing knowledge in data mining and analytics. Through her research, Mrs. Deshmukh aims to contribute to the advancement of technology while addressing real-world problems in cybersecurity and software development.

Skills:

Mrs. Sushama Deshmukh possesses a robust skill set that is well-aligned with her professional and academic pursuits. She is proficient in a variety of programming languages and technologies, including Microsoft SQL Server, WAMP, XAMP, and Turbo C, which enable her to develop and manage complex software applications. Her expertise in artificial intelligence (AI) and machine learning is complemented by certifications in deep learning, natural language processing, and SQL for data science, acquired through reputable platforms like Infosys and Coursera. Additionally, Mrs. Deshmukh has demonstrated her ability to create practical solutions, exemplified by her projects such as the Vaccination Management System and the Online Food Delivery System. Her organizational skills are evident through her roles in coordinating departmental activities and workshops, as well as her involvement in establishing partnerships for the Centre of Excellence in Cyber Security and Cyber Forensics. Overall, her diverse skill set equips her to contribute significantly to both academic and practical applications in her field.

Conclution:

Mrs. Sushama Deshmukh’s combination of academic qualifications, extensive experience, cutting-edge research areas, impactful projects, professional certifications, and social engagement make her a suitable candidate for the Research for Best Researcher Award. Her dedication to interdisciplinary research, practical applications of technology, and community involvement align well with the award’s criteria, emphasizing innovation and societal impact..

Publication Top Noted:

Medi-Block Record: Secure Data Sharing Using Blockchain Technology

  • Authors: C. Singh, D. Chauhan, S.A. Deshmukh, S.S. Vishnu, R. Walia
  • Journal: Informatics in Medicine Unlocked
  • Volume: 24
  • Article Number: 100624
  • ISSN: 2352-9148
  • Year: 2021
  • DOI: 10.1016/j.imu.2021.100624
  • Cited by: 37

Designing User Interfaces with a Data Science Approach

  • Authors: A.N. Banubakode, G.D. Bhutkar, Y. Kurniawan, C.S. Gosavi
  • Publisher: IGI Global
  • Chapter in Book: Designing User Interfaces with a Data Science Approach
  • Year: 2022
  • Cited by: 3

Medi-Block Record: Secure Data Sharing Using Blockchain Technology (Duplicate Entry)

  • Authors: C. Singh, D. Chauhan, S.A. Deshmukh, S.S. Vishnu, R. Walia
  • Journal: Informatics in Medicine Unlocked
  • Volume: 24
  • Article Number: 100624
  • ISSN: 2352-9148
  • Year: 2021
  • Cited by: 2

Significance of Software Engineering Phases in the Development of a Software Application: Case Study

  • Authors: S.A. Deshmukh, S.L. Kasar
  • Chapter in Book: Designing User Interfaces with a Data Science Approach, Pages 111-132
  • Publisher: IGI Global
  • Year: 2022
  • Cited by: 1

Student Performance Prediction Based on Multiple-Choice Question Test Using Neural Network in the VLab Platform

  • Authors: S.A. Deshmukh, R.S. Vaidya, V.D. Kamuni, S. Gaikwad
  • Journal: Theoretical Issues in Ergonomics Science
  • Volume: 25(3), Pages 330-342
  • Year: 2024

Analysis of Challenges in Decentralized Storage Framework for Sharing Medical Data

  • Authors: S.A. Deshmukh, S.L. Kasar, Y. Chichani
  • Conference: 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
  • Year: 2023

Virtual Lab Simulator for Software Engineering Experiment Report to Evaluate Student Assessment

  • Authors: S.A. Deshmukh, G. Tripathi
  • Conference: International Conference on Innovations in Computer Science and Engineering
  • Year: 2022

An Improvised on Mining Frequent Item Sets on Large Uncertain Databases

  • Author: M.S.A. Deshmukh
  • Journal: International Journal for Scientific Research & Development
  • Volume: 24(4), Pages 1769-1772
  • Year: 2017

Pengyue Li | Technology Transforming | Best Researcher Award

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Ms. Pengyue Li | Technology Transforming | Best Researcher Award

Student of Zhengzhou University, China

Summary:

Ms. Pengyue Li, born on September 20, 1997, is a dedicated researcher from China currently pursuing her Master’s degree at Zhengzhou University, expected to complete in June 2024. She earned her Bachelor’s degree from East China University of Technology in 2020. Ms. Li has distinguished herself academically with university-level scholarships and has actively contributed to research through published papers in both Chinese and international journals. Her research expertise spans Python programming, text mining, and semantic analysis. She is proficient in using advanced algorithms and tools such as k-means, UMAP, and SVM, and has experience with system dynamics simulation models. Ms. Li’s work reflects a strong foundation in both theoretical and practical aspects of her field, highlighting her potential as an emerging researcher.

 

Profile:

Education:

Ms. Pengyue Li has a solid educational foundation in her field. She completed her Bachelor’s degree at East China University of Technology from September 2016 to June 2020. Currently, she is pursuing a Master’s degree at Zhengzhou University, which she commenced in September 2021 and is expected to complete in June 2024. Her academic journey reflects a continuous commitment to advancing her knowledge and skills in her area of study.

Professional Experience:

Ms. Pengyue Li has been actively engaged in research and academic projects throughout her academic career. She has contributed to various scientific research projects at the provincial and school levels, showcasing her involvement in practical research applications. Her work includes participation in writing and implementing research projects, reflecting her commitment to advancing knowledge in her field. Additionally, Ms. Li has authored and co-authored several academic papers, including a notable publication in the journal Heliyon on intelligent manufacturing technology and sustainability. Her experience also includes proficiency in Python programming and text mining techniques, further underscoring her technical and analytical skills.

Research Interests:

Ms. Pengyue Li’s research interests lie at the intersection of data analysis, industrial production, and text mining. She is particularly focused on utilizing Python and various analytical tools to explore and solve complex problems. Her expertise includes the use of algorithms such as k-means, UMAP, KNN, and SVM for data clustering and classification, as well as web scraping for data collection. Ms. Li is proficient in semantic analysis and text mining techniques, including word frequency statistics, TF-IDF, topic modeling, and sentiment analysis, which she applies to patent and trademark text data. Additionally, she has a keen interest in industrial production processes, encompassing production planning, control, and system engineering. Ms. Li also employs system dynamics simulation models to address related industrial challenges. Her research endeavors aim to leverage advanced data analytics and simulation techniques to enhance efficiency and innovation in industrial production and text mining applications.

Certificates:

  • ETS TOEIC: 740
  • CET-6: 508
  • CET-4: 528

These certificates show her proficiency in English, which is valuable for international research collaboration and publication.

Awards:

Ms. Li has received university-level scholarships from both East China University of Technology and Zhengzhou University, highlighting her academic excellence.

Conclusion:

Ms. Pengyue Li has shown notable achievements for her career stage, including academic publications, active participation in research projects, and proficiency in relevant technical skills. However, for the Research for Best Researcher Award, which typically honors individuals with extensive and impactful research contributions over a longer period, Ms. Li might not yet be the strongest candidate compared to more experienced researchers. Her current accomplishments are promising, and with continued research output and professional development, she could become a more competitive candidate for such awards in the future.

Publication Tob Noted:

Title: Toward Industry 5.0: Challenges and Enablers of Intelligent Manufacturing Technology Implementation under the Perspective of Sustainability

Authors:

  • Liu, S.
  • Li, P.
  • Wang, J.
  • Liu, P.

Journal: Heliyon, 2024

Volume and Issue: 10(15)

Article ID: e35162

Amber Hayat | Biometrics Security | Women Researcher Award

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Mrs. Amber Hayat | Biometrics Security | Women Researcher Award

PhD student of IIT Delhi, India

Mrs. Amber Hayat appears to be a strong candidate for the Research for Women Researcher Award based on her extensive contributions and achievements in the fields of biometrics, security, machine learning, deep learning, and the Internet of Things (IoT). Here are some key points that highlight her suitability:

Profile:

Research Contributions

Diverse Research Topics:

Amber’s work encompasses a variety of topics within the realm of information technology, specifically focusing on biometrics and security. Her research on template protection in biometrics is particularly noteworthy and relevant to current security challenges.

Awards and Fellowships:

She has received several accolades, such as the IEEE Travel Grant and the TEQIP II Fellowship for her M.Tech studies, demonstrating recognition from the academic community for her work and potential.

Professional Experience

Academic Positions:

Amber has held multiple academic positions, including as an Assistant Professor at various institutions. Her experience at the University of Petroleum & Energy Studies (UPES) and her roles in curriculum development, project mentorship, and organizing academic events showcase her dedication to teaching and research.

Project Involvement:

She has led and participated in several impactful projects, such as fingerprint template protection, online signature template protection, and real-time monitoring of water bodies using IoT. These projects reflect her ability to apply research to practical and socially relevant problems.

Teaching and Mentorship

Teaching Assistantships:

Amber has served as a teaching assistant at IIT Delhi, contributing to courses on biometrics security, cryptography, algorithms, and data structures, indicating her engagement in educating the next generation of researchers and engineers.

Mentorship:

Her mentorship roles, including guiding undergraduate projects and leading teams in hackathons, highlight her commitment to nurturing young talent and fostering innovation.

Additional Contributions

Organizing Committees and Talks:

Amber has been actively involved in organizing conferences and workshops, such as the IEEE International Conference on Next Generation Computing Technologies. She has also delivered expert talks on topics like IoT and fog computing, further establishing her as a knowledgeable and influential figure in her field.

Memberships and Community Involvement:

As an IEEE and ACM member, she stays connected with the broader research community, contributing to the advancement of her fields of interest.

Conclusion

Mrs. Amber Hayat’s extensive research contributions, professional experience, teaching and mentorship roles, and active involvement in academic and professional communities make her a highly suitable candidate for the Research for Women Researcher Award. Her work not only advances scientific knowledge but also addresses real-world problems, benefiting both academia and society.

Publication Tob Noted:

Intelligent System for Skin Disease Prediction Using Machine Learning

  • Authors: AA Elngar, R Kumar, A Hayat, P Churi
  • Journal: Journal of Physics: Conference Series
  • Volume: 1998, Issue: 1
  • Article: 012037
  • Year: 2021
  • Citations: 29

Green-IoT (G-IoT) Architectures and Their Applications in the Smart City

  • Authors: M Goel, A Hayat, A Husain, S Dalal
  • Book Chapter: Green Internet of Things for Smart Cities
  • Pages: 47-59
  • Year: 2021
  • Citations: 17

FinTem: A Secure and Non-invertible Technique for Fingerprint Template Protection

  • Authors: A Hayat, SS Ali, AK Bhateja, N Werghi
  • Journal: Computers & Security
  • Volume: 142
  • Article: 103876