Dr. Chinenye Azuka | Technology | Best Researcher Award

Dr. Chinenye Azuka | Technology | Best Researcher Award

Dr. Chinenye Azuka, University of Nigeria Nsukka, Nigeria 

Dr. Chinenye Azuka is a dedicated researcher and academic specializing in food science and technology. She earned her Ph.D. from the University of Nigeria, focusing on functional food development from germinated brown rice and pigeon pea for diabetes management. Currently serving as Lecturer I at the University of Nigeria, Nsukka, she has extensive experience in teaching and mentoring students in food safety, food engineering, and cereal technology. Her research revolves around processing and product development of functional foods, with expertise in enzymatic activity, polyphenol extraction, and food processing techniques. Dr. Azuka is also skilled in hands-on instrumentation, experimental design, and academic writing. She has received several prestigious awards, including the Tertiary Education Trust Fund (TETFund) award for research excellence. With a strong passion for innovation in food science, she continues to make significant contributions to academia and the industry through her research, publications, and teaching excellence.

Professional Profile:

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🏆 Suitability for Best Researcher Award 

Dr. Chinenye Azuka is an outstanding candidate for the Best Researcher Award due to her exceptional contributions to food science research, particularly in functional food development. Her Ph.D. research on germinated brown rice and pigeon pea extrudates for diabetes intervention demonstrates a strong commitment to addressing global health challenges through food technology. With extensive experience in designing and conducting experiments, enzyme activity evaluation, and food processing techniques, she has pioneered innovative methodologies in her field. Dr. Azuka’s expertise in UHPLC/HPLC instrumentation, response surface methodology, and solid-phase extraction further underscores her technical prowess. Additionally, her teaching and mentoring roles have shaped numerous students in the field of food science. Her research excellence has been recognized through prestigious awards like the TETFund Research Excellence Award. With her strong academic record, impactful research, and commitment to scientific advancement, Dr. Azuka is highly deserving of this award.

🎓 Education 

Dr. Chinenye Azuka holds a Ph.D. in Food Science and Technology from the University of Nigeria, where she conducted pioneering research on developing functional foods for diabetes management using germinated brown rice and pigeon pea. Her research focused on malting, formulation, polyphenol extraction, enzyme inhibition, and physicochemical analysis of extrudates. She was supervised by renowned scholars, including Prof. G. I. Okafor, Dr. Christine Bosch, and Dr. Lisa Marshall. Prior to her doctoral studies, she earned a Bachelor’s degree in Food Science, demonstrating excellence in food processing techniques and food safety. Her strong academic background has equipped her with expertise in food engineering, product development, and analytical techniques. Through her education, she has developed a profound understanding of food technology, functional food innovation, and dietary interventions for metabolic diseases, making her a significant contributor to the field of food science and technology.

📚 Experience

Dr. Chinenye Azuka is a seasoned academic and researcher with extensive experience in food science and technology. Currently, she serves as Lecturer I at the University of Nigeria, Nsukka, where she teaches undergraduate and postgraduate courses in food safety, cereal technology, food engineering, and processing techniques. She has also supervised numerous students in their research projects and dissertation presentations. Prior to her current role, she worked as Lecturer II, where she played a crucial role in curriculum development, student mentoring, and research supervision. Additionally, she has administrative experience as a Faculty ICT Representative and Treasurer for the Local Committee of the Nigerian Institute of Food Science and Technology. Her expertise in hands-on laboratory research, experimental design, and food processing techniques has made her an influential figure in academia. Dr. Azuka’s dedication to teaching, research, and administration highlights her excellence in both academic and scientific leadership.

🏅 Awards and Honors 

Dr. Chinenye Azuka’s remarkable research contributions have been recognized through multiple awards and honors. She received the prestigious Tertiary Education Trust Fund (TETFund) Nigeria Award in 2022 for research excellence and staff development, highlighting her outstanding work in food science. In 2008, she was honored with the Tantalizers Undergraduate Excellence Award, recognizing her academic brilliance and innovative research approach. Additionally, she has earned professional certifications, including Quality Management for Operational Excellence (2023) and UK Foundations in Teaching (2023), further demonstrating her commitment to academic and professional development. Her leadership roles, including serving as Treasurer of the Local Committee of the Nigerian Institute of Food Science and Technology (UNN Chapter), underscore her contributions to the academic community. These awards and recognitions affirm her dedication, expertise, and impactful research in food science, making her a leading figure in functional food technology and nutritional science.

🔬 Research Focus

Dr. Chinenye Azuka’s research primarily focuses on functional food development and processing for disease prevention and management. Her work explores nutritional interventions for metabolic diseases, particularly diabetes, through innovative food processing techniques. She specializes in extrusion technology, enzyme inhibition studies, polyphenol extraction, and food formulation using response surface methodology. Her research also involves physicochemical characterization of food products, ensuring optimal nutritional benefits. She has conducted extensive studies on germinated brown rice and pigeon pea-based extrudates, evaluating their alpha-glucosidase and amylase enzyme inhibition properties for diabetes management. Additionally, she applies advanced analytical techniques, including UHPLC/HPLC, scanning electron microscopy, and textural analysis, to assess food quality and functionality. Dr. Azuka’s groundbreaking work bridges the gap between food technology and healthcare, contributing to nutritional science, food safety, and functional food innovations. Her research continues to impact food industry advancements and global health initiatives.

Publication Top Notes:

  • Title: Micronutrients, antinutrients composition and sensory properties of extruded snacks made from sorghum and charamenya flour blends
    • Cited by: 14
    • Year: 2020
  • Title: Physical properties of parboiled milled local rice varieties marketed in South-East Nigeria
    • Cited by: 8
    • Year: 2021
  • Title: Cooking and functional properties of parboiled milled local rice marketed in the south-east zone of Nigeria
    • Cited by: 3
    • Year: 2020
  • Title: Evaluation of the chemical composition and sensory quality of parboiled local and imported milled rice varieties marketed in south-east zone of Nigeria
    • Cited by: 2
    • Year: 2019
  • Title: Evaluation of wheat-pigeon pea flour blends for noodle production in Nigeria
    • Cited by: 1
    • Year: 2022

 

Shinder Kaur | Computer Science | Excellence in Research

Shinder Kaur | Computer Science | Excellence in Research

Ms. Shinder Kaur, Swami Swatantranand Memorial College, India.

Shinder Kaur is a passionate academic and Assistant Professor in the Department of Computer Science & Engineering at Swami Swatantranand Memorial College, Punjab. Currently pursuing a Ph.D. in Computer Science & Engineering at GNDU, Amritsar, she is dedicated to fostering student development and contributing to the field of technology. With expertise in web languages, databases, and operating systems, Shinder has a strong foundation in technical education. Her focus is on nurturing future professionals and advancing research in computer science. 📚💻👩‍🏫

Publication Profile 

Googlescholar

Education And Experiance

  • Ph.D. Pursuing in Computer Science & Engineering at GNDU, Amritsar 🎓
  • UGC-NET Qualified in December 2018 🏅
  • Master’s of Computer Science (2014-2016) from GNDU 💻
  • Bachelor of Computer Applications (2011-2014) from GNDU 📱
  • Assistant Professor at Swami Swatantranand Memorial College, Dinanagar, Punjab (July 2019 – Present) 👩‍🏫

Suitability For the Award

Ms. Shinder Kaur is a dedicated researcher and Assistant Professor in Computer Science & Engineering, currently pursuing a Ph.D. at GNDU, Amritsar. With a strong foundation in web development, databases, and operating systems, she has demonstrated her technical expertise through various projects, including a Hostel Management System and Glorious Home. UGC-NET qualified, Shinder’s commitment to advancing research in computer science, combined with her academic experience and practical application of technology, makes her a strong candidate for the Excellence in Research award.

Professional Development

Shinder Kaur has demonstrated a strong commitment to her professional development by continuously enhancing her technical skills in web languages such as C, C++, VB 6.0, ASP.NET, HTML, and CSS. She is proficient in database management with SQL and has a deep understanding of operating systems, including Windows and Linux. Throughout her academic career, Shinder has developed key projects like the “Hostel Management System” and “Glorious Home.” She actively contributes to the academic environment by mentoring students, organizing data, and ensuring smooth academic operations. 💡📈👩‍💻

Research Focus

Shinder Kaur’s research focus lies in the realm of Computer Science & Engineering, specifically in areas such as web development, database management, and system optimization. Her work is centered on improving technology integration in education and streamlining management systems. Shinder is passionate about exploring the potential of technology in enhancing the efficiency of academic and administrative processes, aiming to develop innovative solutions that benefit both students and institutions. 💻🔍📊

Awards And Honors

  • UGC-NET Qualified in December 2018 🏅
  • Best Project Award for “Hostel Management System” during Master’s degree 🎖️
  • Academic Excellence Award for outstanding performance during Bachelor’s degree 🏆
  • Faculty Development Program certificate in advanced teaching methods 📜
  • Recognized for Best Faculty Contribution at Swami Swatantranand Memorial College 🎓

Publication Top Notes 

  • Performance Analysis of Diverse Mobility Speeds on MANET Routing Protocols –  2023 📘
  • Comparative Analysis of Low and High Scalable VANET in terms of Receive Rate, Packets Received, MAC/PHY Overhead and Average Goodput – 2023 📚

Prof. Orken Mamyrbayev | Computing Awards | Outstanding Scientist Award

Prof. Orken Mamyrbayev | Computing Awards | Outstanding Scientist Award

Prof. Orken Mamyrbayev, Institute of Information and Computational Technologies, Kazakhstan

Orken Zhumazhanovich Mamyrbayev  in the Almaty region, is an Associate Professor and Ph.D. in Information Systems. He graduated from Abay Kazakh National Pedagogical University in 2001 with a degree in Computer Science. With over 18 years of experience in scientific and pedagogical work, he currently serves as Deputy Director for Science at the Institute of Information and Computational Technologies under the Ministry of Education and Science of Kazakhstan. He is a specialist in speech recognition, digital signal processing, and natural language processing, and has supervised numerous Ph.D. and master’s theses. Mamyrbayev has authored over 100 scientific papers, holds 2 patents, and has completed advanced training in several countries, including Japan, Azerbaijan, and Malaysia. He is an active member of various scientific councils and an academician of the International Academy of Informatization.

Professional Profile:

Orcid

Suitability of Mamyrbayev Orken Zhumazhanovich for the Research for Outstanding Scientist Award

Summary of Suitability:

Mamyrbayev Orken Zhumazhanovich is a highly suitable candidate for the Research for Outstanding Scientist Award due to his extensive contributions to computer science, his leadership in research projects with real-world applications, and his international recognition. His innovative work in speech recognition, natural language processing, and digital signal processing showcases his potential as a leader in scientific advancements. Additionally, his contributions to education and the mentorship of upcoming researchers further strengthen his candidacy for this prestigious award.

🎓Education:

Orken Zhumazhanovich Mamyrbayev graduated from Abay Kazakh National Pedagogical University in 2001 with a degree in Computer Science and Computerization Management. In 2014, he earned his Ph.D. in Information Systems, successfully defending his dissertation on the topic “Kazakh Speech Recognition Modal System.”

🏢Work Experience:

From 2002 to 2011, Orken Zhumazhanovich Mamyrbayev worked as a Senior Lecturer at the Department of Computer Science and Applied Mathematics at Abay Kazakh National Pedagogical University. From 2012 to 2015, he served as a Researcher at the Laboratory of “Analysis and Modeling of Information Processes.” Since 2015, he has held the position of Deputy Director for Science at the Institute of Information and Computational Technologies under the Ministry of Education and Science of Kazakhstan. Additionally, since 2017, he has been leading the Laboratory of Computer Engineering of Intelligent Systems at the same institute.

🏅Awards:

Orken Zhumazhanovich Mamyrbayev has been recognized for his contributions to science and education, receiving the prestigious Certificate of Honor from the Ministry of Education and Science of Kazakhstan. In addition, he has been awarded letters of gratitude from the Institute of Information and Computational Technologies, CS MES RK, for his valuable work and dedication.

Publication Top Notes:

  • A Study of Kazakh Speech Recognition in Hiformer Model
  • An Innovative Technology for Overloading Microshoots in Vitro
  • Enhancing Emoji-Based Sentiment Classification in Urdu Tweets: Fusion Strategies with Multilingual BERT and Emoji Embeddings
  • High Accuracy Microcalcifications Detection of Breast Cancer Using Wiener LTI Tophat Model
  • Infrared Laser Irradiation for Pre-Sowing Seed Treatment: Advancing Germination and Crop Productivity

 

 

 

Ms. Zeba Shamsi | Cyber-Physical Systems | Best Researcher Award | 3089

Ms. Zeba Shamsi | Cyber-Physical Systems | Best Researcher Award 

Ms. Zeba Shamsi, National Institute of Technology silchar, India

Dr. Zeba Shamsi is a dedicated researcher and academic currently pursuing her Ph.D. in Computer Science & Engineering at the National Institute of Technology (NIT) Silchar. With a solid foundation in cryptography, network security, and data encryption, she combines her extensive knowledge in computer science with practical research to advance the field. Zeba is fluent in English, Hindi, and Urdu, and her professional journey reflects a strong commitment to both teaching and research.

Professional Profile:

Scopus

Education 🎓

  • Ph.D. (Pursuing) in Computer Science & Engineering from National Institute of Technology, Silchar (2019–Present). Her research areas include cryptography, cryptanalysis, steganography, watermarking, network security, image processing, audio signal processing, and data encryption.
  • M. Tech in Computer Science & Engineering from Al-Falah University, Faridabad, Haryana (2015–2016). Her dissertation focused on cost estimation approaches.
  • B. Tech in Computer Science & Engineering from Assam Don Bosco University, Guwahati, Assam (2010–2014). Her project involved implementing energy efficiency in wireless sensor networks.

Work Experience 💼

  • Research Scholar at National Institute of Technology, Silchar (March 2019–Present), contributing to various research projects in computer science and engineering.
  • Guest Faculty at Maulana Azad National Urdu University (November 2017–March 2019), where she taught courses related to computer science and engineering.

Skills 💻

Zeba possesses expertise in several critical areas including:

  • Cryptography: Advanced techniques for securing communication and data.
  • Network Security: Protecting networks from unauthorized access and attacks.
  • Image and Audio Processing: Techniques for analyzing and modifying images and audio signals.
  • Data Encryption: Methods for encoding data to ensure its privacy and security.
  • Steganography and Watermarking: Techniques for embedding information within other media for secure communication.

Awards and Honors 🏆

  • Recognized for her research contributions in various national and international conferences and journals.
  • Her paper “An Encryption Scheme for Securing Multiple Medical Images” was published in the Journal of Information Security and Applications, and she has received accolades for her innovative approaches in cryptography and security.

Memberships 🌐

  • International Computer Science and Engineering Society (ICSES)
  • PriMera Scientific Publication

Teaching Experience 📚

  • Teaching Assistant at National Institute of Technology Silchar, involved in assisting with coursework and research supervision.
  • Paper Setter and Examiner for various institutions, including MANUU Polytechnic and Al-Falah University, reflecting her role in academic assessment and curriculum development.

Research Focus 🔬

Dr. Zeba Shamsi’s research predominantly focuses on:

  • Cryptography and Cryptanalysis: Developing advanced encryption methods to secure digital communications.
  • Steganography and Watermarking: Techniques for hiding information within other data to ensure secure and covert communication.
  • Network Security: Strategies to protect networks from cyber threats and attacks.
  • Image and Audio Signal Processing: Enhancing and analyzing multimedia data for various applications.
  • Data Encryption: Methods for securing data to prevent unauthorized access and breaches.

Publication Top Notes:

    1. Visually meaningful cipher data concealment
      • Year: 2024
      • Journal: Digital Signal Processing: A Review Journal
    2. Securing encrypted image information in audio data
      • Year: 2023
      • Journal: Multimedia Tools and Applications
    3. Steganalysis on Dual-Layer Security of Messages Using Steganography and Cryptography
      • Year: 2023
      • Journal: 2023 15th International Conference on Information Technology and Electrical Engineering (ICITEE 2023)
    4. An encryption scheme for securing multiple medical images
      • Year: 2019
      • Journal: Journal of Information Security and Applications
    5. A method for the selection of agile methods using AHP
      • Year: 2017
      • Journal: Advances in Intelligent Systems and Computing

 

Prof Dr. Zhong Su | Cyber-Physical Systems | Best Researcher Award

Prof Dr. Zhong Su | Cyber-Physical Systems | Best Researcher Award

Prof Dr. Zhong Su, Beijing Information Science & Technology University, China

Prof. Dr. Zhong Su is a distinguished professor and the Dean of the Academic Committee at Beijing Information Science & Technology University, where he also directs the Beijing Key Laboratory of High Dynamic Navigation Technology. With a robust academic foundation from Beijing Institute of Technology, including a Bachelor’s in Automatic Control, a Master’s in Computer Control, and a Ph.D. in Physical Electronics and Photoelectronics, Prof. Su specializes in autonomous positioning and control for intelligent autonomous systems and robotics. His prolific career includes leading over 40 projects, securing 58 invention patents, and publishing over 110 high-level papers. Recognized with accolades such as National Excellent Teacher and Beijing Scholar, Prof. Su’s work has significantly advanced the fields of image recognition and deep learning, impacting both national and international research landscapes.

Professional Profile:

Scopus

Suitability for the Research for Best Researcher Award

Prof. Dr. Zhong Su is a highly suitable candidate for the Research for Best Researcher Award due to his extensive contributions and leadership in the field of Intelligent Autonomous Systems and Robotics. His distinguished career is marked by substantial research achievements, influential academic roles, and significant contributions to national and international projects.

Dean and Professor, Beijing Information Science & Technology University 🎓

Prof. Dr. Zhong Su is a distinguished professor at Beijing Information Science & Technology University and the Dean of the Academic Committee. He also serves as the Director of the Beijing Key Laboratory of High Dynamic Navigation Technology.

Academic Background and Qualifications 📚

Prof. Su completed his Bachelor’s in Automatic Control, Master’s in Computer Control, and Ph.D. in Physical Electronics and Photoelectronics, all from Beijing Institute of Technology. His extensive education underpins his expertise in intelligent autonomous systems and robotics.

Professional Experience 💼

Dr. Su has held significant roles throughout his career, including positions at The State-Owned 5027 Factory, Qinghai Normal University, and Beijing Institute of Information Engineering. Since 2019, he has been a key figure at Beijing Information Science & Technology University.

Research Interests and Contributions 🔬

Prof. Su’s research focuses on autonomous positioning and control within intelligent autonomous systems and robotics. He has led over 40 projects, including national key R&D plans and international cooperation projects. His work has resulted in 58 authorized invention patents, numerous high-level publications, and substantial economic benefits exceeding 3 billion RMB.

Professional Affiliations and Honors 🏆

He is a Vice Chairman of the China Inertial Technology Metrology Technical Committee and has served as an executive director for the China Simulation Federation. Prof. Su has received several accolades, including National Excellent Teacher and Beijing Scholar, and has been recognized for his contributions with multiple prestigious awards.

Innovations and Impact 🚀

Dr. Su has published over 110 high-level papers and 5 monographs, contributing significantly to advancements in image recognition and deep learning for complex environments. His leadership and groundbreaking research continue to impact the fields of autonomous systems and robotics.

 

Publication Top Notes:

  • Title: Structural Optimization and Excitation Method of Metal-Shell Resonator Gyroscope Driven by Composite Electrodes
    • Year: 2023
  • Title: Robust Multi-Constraint Map Matching Algorithm for Personal Inertial Positioning
    • Year: 2023
  • Title: Image Recognition Method for Micropores Inside Small Gas Pipelines
    • Year: 2023
  • Title: Deep Learning-Based Laser and Infrared Composite Imaging for Armor Target Identification and Segmentation in Complex Battlefield Environments
    • Citations: 4
    • Year: 2023
  • Title: Research on Channel Characteristics and Electrode Electrical Performance of Earth Current Field Information Transmission Technology
    • Year: 2023

 

 

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

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

🎓 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.

💼 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.

🔍 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