Prasanthi Vallurupalli | Computer Science | Best Innovator Award

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Mrs. Prasanthi Vallurupalli | Computer Science | Best Innovator Award

Cybersecurity Software Engineer from J.B.Hunt Transport Inc, United States

Prasanthi Vallurupalli is a distinguished Cybersecurity Software Engineer with 11 years of experience in the IT industry. With a background as a Programmer Analyst and Software Developer, she has developed an extensive understanding of software development, security protocols, and emerging technologies. Throughout her career, Prasanthi has contributed significantly to the field of cybersecurity, AI, and machine learning (AI/ML) through research and practical applications. She is known for her expertise in cybersecurity and her ability to combine technical skills with a strategic vision for innovation. Her work in AI/ML and cybersecurity has been recognized in both industry and academia, making her a thought leader in the space. Her contributions extend beyond research, as she has published multiple papers and authored a nationally recognized book on cybersecurity, which demonstrates her leadership and commitment to advancing knowledge in the field. Recognized with numerous prestigious awards and editorial memberships, Prasanthi continues to drive industry transformation with a focus on innovation and technological advancements. Her deep expertise, combined with a passion for improving security technologies, positions her as a deserving candidate for recognition in the tech industry.

Professional Profile

Education

Prasanthi Vallurupalli holds a strong educational foundation in computer science and cybersecurity, which has been pivotal in her professional achievements. She earned a Bachelor’s degree in Computer Science, where she first developed a keen interest in software development and security technologies. Building upon this foundation, she pursued advanced studies in cybersecurity and AI/ML, further deepening her expertise. Throughout her academic journey, Prasanthi consistently excelled in both theoretical knowledge and practical applications, making her well-equipped to tackle the complexities of modern cybersecurity challenges. Her commitment to learning and growth has been a driving force in her career, allowing her to stay at the forefront of technological advancements. She has also participated in various professional development programs and workshops, which have kept her skills up to date with the latest trends in software security, machine learning, and AI. This ongoing pursuit of knowledge has not only enhanced her technical abilities but has also allowed her to contribute meaningfully to research in the field of cybersecurity. Prasanthi’s academic accomplishments have laid a solid foundation for her to thrive as a recognized expert in cybersecurity and AI/ML, shaping her career trajectory as a leading figure in the industry.

Professional Experience 

With 11 years of professional experience in the IT industry, Prasanthi Vallurupalli has held key roles as a Cybersecurity Software Engineer, Programmer Analyst, and Software Developer. In her career, she has successfully navigated a range of responsibilities, from coding and software design to ensuring the security and integrity of complex systems. Her expertise spans software development, cybersecurity practices, and the application of emerging technologies, particularly in AI/ML. Prasanthi’s work in developing secure software solutions and protecting against cybersecurity threats has made a substantial impact across industries. She has been involved in high-stakes projects where ensuring the confidentiality, integrity, and availability of data was paramount. Her leadership in driving security solutions has led to the implementation of innovative security protocols and AI-driven defense systems. Additionally, Prasanthi has actively collaborated with cross-functional teams, contributing to the development of robust solutions that integrate both technical and strategic elements. As a result of her consistent excellence and innovative approach, she has earned recognition from both her peers and industry leaders. Her professional journey reflects a blend of technical mastery, leadership, and a commitment to advancing the cybersecurity field, setting her apart as a leader in her domain.

Research Interests

Prasanthi Vallurupalli’s primary research interests lie at the intersection of cybersecurity and artificial intelligence/machine learning (AI/ML). She is particularly focused on developing advanced cybersecurity solutions using AI/ML techniques to protect against evolving cyber threats. Her work explores the use of AI in automating threat detection, identifying vulnerabilities, and building more secure systems. She is also interested in creating intelligent systems that can adapt to new types of attacks in real-time, improving the resilience of security systems. Another area of her research focuses on secure software development practices and the integration of AI-driven security mechanisms within software lifecycle management. Her interdisciplinary approach combines her expertise in cybersecurity with the potential of AI/ML to drive innovation and efficiency in the field. Additionally, Prasanthi is keen on studying how machine learning algorithms can predict and mitigate cybersecurity risks, including data breaches, malware attacks, and other vulnerabilities. She aims to contribute to developing more robust, adaptive, and scalable security systems that can stay ahead of cyber adversaries. As she continues to explore these research areas, Prasanthi’s work promises to make a significant impact in the way security systems are developed and deployed in an increasingly complex and dynamic digital landscape.

Research Skills 

Prasanthi Vallurupalli possesses a diverse and advanced set of research skills that are critical to her work in cybersecurity and artificial intelligence. Her proficiency in various programming languages, such as Python, C++, and Java, allows her to develop and implement security solutions using cutting-edge AI/ML algorithms. She is highly skilled in utilizing machine learning frameworks such as TensorFlow, Keras, and PyTorch, which she leverages to build and deploy AI-driven security models. Additionally, Prasanthi is adept at working with large datasets, performing data analysis, and utilizing statistical tools to derive meaningful insights related to cybersecurity threats and vulnerabilities. Her expertise in data mining and predictive modeling further enhances her ability to analyze complex patterns and anticipate potential risks. Prasanthi also excels in software development methodologies, ensuring that her research is not only technically sound but also practically applicable. Her research skills extend to system design, where she has contributed to the development of secure, scalable, and high-performance systems. Furthermore, Prasanthi is experienced in conducting literature reviews, drafting research papers, and presenting findings in academic and industry forums. Her ability to bridge theoretical knowledge with practical applications makes her research highly impactful in advancing the field of cybersecurity.

Awards and Honors

Prasanthi Vallurupalli’s work in cybersecurity and AI/ML has been widely recognized, earning her numerous prestigious awards and honors. She has received accolades for her research contributions, particularly in the areas of cybersecurity defense mechanisms and the integration of artificial intelligence in security systems. Among her significant achievements is her nationally recognized book on cybersecurity, which has garnered attention from both academic and industry circles. Additionally, Prasanthi has been awarded for her research papers, which have been published in respected journals within the cybersecurity and AI/ML domains. Her editorial memberships in prominent journals further underscore her credibility and standing as an expert in the field. Beyond her academic and professional recognitions, Prasanthi has been celebrated for her leadership in advancing the practice of cybersecurity through innovation and thought leadership. These awards and honors are a testament to her consistent excellence and dedication to improving the field of cybersecurity, and they serve as a reflection of the impact she has made on both her peers and the wider tech community. Prasanthi’s ability to inspire and lead in research has earned her a reputation as one of the leading figures in cybersecurity and AI/ML research.

Conclusion

Prasanthi Vallurupalli is an exemplary professional and researcher in the fields of cybersecurity and artificial intelligence. Her extensive experience, strong academic foundation, and groundbreaking research have positioned her as a leading figure in the tech industry. Through her numerous contributions, including publications, a nationally recognized book, and groundbreaking work in AI/ML-driven cybersecurity solutions, Prasanthi has demonstrated a deep commitment to advancing technology and tackling the most pressing challenges in cybersecurity. Her ability to seamlessly blend technical expertise with innovative thinking has allowed her to develop cutting-edge solutions to protect against evolving cyber threats. With over a decade of experience, she has continuously pushed the boundaries of cybersecurity, offering new approaches that improve both the security and functionality of systems. Prasanthi’s work has been acknowledged with prestigious awards and honors, reflecting the significant impact she has made in her field. As a thought leader, she not only contributes to the technical community but also drives industry-wide transformation through her research and leadership. Moving forward, Prasanthi is poised to continue her path of excellence, influencing the future of cybersecurity and AI/ML. Her ability to adapt and innovate ensures she remains a powerful force for positive change in the industry.

Publications Top Notes

  • Designing and Training of Lightweight Neural Networks on Edge Devices Using Early Halting in Knowledge Distillation

    • Authors: Rahul Mishra and Hari Prabhat Gupta​

    • Year: 2022 ​

  • REAL-TIME CYBERSECURITY THREAT ASSESSMENT: DYNAMIC RISK SCORING WITH HYBRID DATA SCIENCE MODELS

    • Author: P. Vallurupalli​

    • Year: 2022​

André Guimarães | Computer Science | Best Researcher Award

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Mr. André Guimarães | Computer Science | Best Researcher Award

Researcher at University of Beira Interior, Portugal

André Guimarães is a distinguished mechanical engineer and academic, renowned for his extensive contributions to mechanical engineering, industrial management, and digital transformation. With over a decade of professional experience in the manufacturing industry, he has seamlessly integrated practical expertise with academic pursuits. Currently, as a Ph.D. candidate in Industrial Engineering and Management at the University of Beira Interior, André is delving into advanced research areas, particularly focusing on Industry 4.0 and its implications for modern manufacturing processes. His role as a Guest Lecturer at the Polytechnic Institute of Viseu underscores his commitment to education and knowledge dissemination. André’s scholarly contributions include several scientific publications that explore the intersections of polymeric materials, lean management, and asset management. His active participation in various research projects highlights his dedication to advancing engineering practices and promoting digital transformation within the industry. André’s multifaceted career reflects a harmonious blend of industry experience, academic excellence, and a passion for fostering innovation in engineering.

Professional Profile

Education

André’s academic journey commenced with a Bachelor’s degree in Mechanical Engineering, laying a robust foundation in engineering principles. He further augmented his expertise by obtaining a Master’s degree in Mechanical Engineering and Industrial Management, where he engaged in research focusing on the development of novel adhesive joints utilizing fiber-metal laminates. Demonstrating a commitment to continuous learning, André pursued a postgraduate degree in Industry 4.0 and Digital Transformation from the Instituto Superior de Engenharia do Porto. This advanced training equipped him with contemporary insights into the integration of digital technologies within industrial frameworks. Currently, as a doctoral candidate at the University of Beira Interior, supported by a scholarship from the Foundation for Science and Technology, André is investigating the transformative impacts of digitalization on industrial processes. His diverse educational background reflects a dedication to both theoretical understanding and practical application, positioning him at the forefront of engineering innovation and digital advancement.

Professional Experience

André’s professional trajectory encompasses significant roles in both industry and academia. He dedicated over ten years to the manufacturing sector, notably serving as a Production Manager at IPROM – Indústria de Produtos Metálicos Lda. In this capacity, he honed his skills in production optimization, quality control, and team leadership, directly overseeing manufacturing operations and implementing process improvements. Transitioning to academia, André has been a Guest Lecturer at the Polytechnic Institute of Viseu since 2019, where he imparts knowledge in mechanical engineering and industrial management. His teaching methodology is enriched by his industry experience, providing students with practical perspectives on theoretical concepts. Additionally, André has contributed to various research initiatives, collaborating with institutions such as the University of Beira Interior’s Electromechatronic Systems Research Centre (CISE) and the Research Centre for Digital Services (CISeD) at the Polytechnic Institute of Viseu. His dual engagement in industry and academia underscores a comprehensive understanding of engineering challenges and solutions.

Research Interests

André’s research interests are centered around the integration of advanced technologies within industrial systems. He is particularly focused on Industry 4.0, exploring how digital transformation can enhance manufacturing efficiency and competitiveness. His work delves into the application of lean management principles in conjunction with digital tools to streamline production processes and reduce waste. André is also invested in the study of polymeric materials, investigating their properties and potential applications in modern engineering solutions. Another facet of his research involves asset management, where he examines strategies for optimizing the lifecycle and performance of industrial assets through predictive maintenance and data analytics. By bridging the gap between traditional engineering practices and contemporary technological advancements, André aims to contribute to the development of sustainable and efficient industrial systems.

Research Skills

André possesses a diverse skill set that encompasses both technical and analytical proficiencies. He is adept at conducting comprehensive data analysis, utilizing statistical tools to interpret complex datasets and inform decision-making processes. His expertise in numerical modeling and simulation enables him to predict system behaviors and optimize engineering designs. André is proficient in hydrodynamic modeling, particularly within the context of coastal engineering, allowing for accurate assessments of environmental impacts on engineering projects. His experience in project management is evidenced by his coordination of research initiatives, where he oversees project development, resource allocation, and team collaboration. Additionally, André’s teaching experience has honed his ability to communicate complex concepts effectively, both in written and oral formats, facilitating knowledge transfer and fostering educational growth.

Awards and Honors

Throughout his career, André has been recognized for his academic and professional excellence. He was awarded a doctoral scholarship by the Foundation for Science and Technology, acknowledging his potential to contribute significantly to research in Industrial Engineering and Management. His scholarly work has been featured in reputable journals and conferences, reflecting peer recognition of his contributions to the fields of Industry 4.0, lean management, and polymeric materials. André’s commitment to education and research has also been acknowledged through invitations to present at international conferences, where he has shared his insights on digital transformation and industrial optimization. These accolades underscore his dedication to advancing engineering practices and his impact on both academic and industrial communities.

Conclusion

In summary, André Guimarães exemplifies a professional who seamlessly integrates industry experience with academic prowess. His extensive background in mechanical engineering and industrial management, coupled with a strong focus on digital transformation, positions him as a leader in modern engineering practices. André’s dedication to research is evident through his diverse interests and active participation in projects that bridge the gap between traditional engineering and contemporary technological advancements. His commitment to education, demonstrated by his role as a Guest Lecturer, reflects a passion for fostering the next generation of engineers. As he continues his doctoral research, André is poised to make further significant contributions to the fields of industrial efficiency and digital innovation, driving progress in both academic and practical domains.

Publication Top Notes

  • Development of a Polymer Filament Extruder: Recycling 3D Printer Waste

    • Authors: André Guimarães, Samuel Messias, João Lopes, José Salgueiro, Daniel Gaspar
    • Year: 2025
    • Journal: Kexue Tongbao/Chinese Science Bulletin

  • Effects of Lean Tools and Industry 4.0 Technology on Productivity: An Empirical Study

    • Authors: André Guimarães, Eduardo e Oliveira, Marisa Oliveira, Teresa Pereira
    • Year: 2025
    • Journal: Journal of Industrial Information Integration

  • Implementation of Autonomous Mobile Robots in Intralogistics: Simulations in a Case Study

    • Authors: André Guimarães, A. Silva, J. Teixeira, F. Gomes, S. Martins
    • Year: 2025
    • Journal: Kexue Tongbao/Chinese Science Bulletin

  • The Influence of Consumer, Manager, and Investor Mood and Sentiment on Excess Market Returns

    • Authors: Pedro Nogueira Reis, António Pedro Soares Pinto, André Guimarães
    • Year: 2025
    • Journal: Investment Management and Financial Innovations

  • A Hybrid Strategy for Paint Greenhouse Optimization in Aerospace Manufacturing: Lean Principles and Mathematical Modelling

    • Authors: Maria Teresa Pereira, Marisa Pereira, Fernanda Ferreira, Francisco Silva, André Guimarães
    • Year: 2025
    • Conference: FAIM 25 – The 34th International Conference on Flexible Automation and Intelligent Manufacturing

  • Digital Transformation in Costing for Third-Part Logistics: A Case Study

    • Authors: Maria Teresa Pereira, Nuno Gabriel, Marisa Pereira, Filipe Ramos, André Guimarães
    • Year: 2025
    • Conference: DSMIE – 8th International Conference on Design, Simulation, Manufacturing: The Innovation Exchange

  • Effects of Lean Tools and Industry 4.0 Technology on Productivity: An Empirical Study

    • Authors: André Guimarães, Eduardo e Oliveira, Marisa Oliveira, Teresa Pereira
    • Year: 2025
    • Journal: Journal of Industrial Information Integration
    • DOI: 10.1016/j.jii.2025.100787

  • The Influence of Consumer, Manager, and Investor Sentiment on US Stock Market Returns

    • Authors: Pedro Manuel Nogueira Reis, Antonio Pedro Soares Pinto, André Guimarães
    • Year: 2025
    • Journal: Investment Management and Financial Innovations
    • DOI: 10.21511/imfi.22(1).2025.18

  • A Integração da Transformação Digital na Gestão de Ativos nas Empresas Nacionais

    • Authors: Samuel Messias, André Guimarães, Hugo Raposo, Daniel Gaspar
    • Year: 2024
    • Conference: 11.º ENEGI, Encontro Nacional de Engenharia e Gestão Industrial

  • Asset Management and the Digital Transformation of Companies in Portugal: A Thematic Literature Review

    • Authors: Samuel Messias, André Guimarães, Hugo Raposo, Daniel Gaspar
    • Year: 2024
    • Journal: Journal of Management Science and Engineering

 

Dagne Walle | Computer Science | Best Scholar Award

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Mr. Dagne Walle | Computer Science | Best Scholar Award

Haramaya at Haramaya university, Ethiopia

Dagne Walle Girmaw is a lecturer, researcher, and programmer at Haramaya University in Ethiopia, with a strong academic background in Information Technology. His expertise lies in applying machine learning and deep learning techniques to solve critical challenges in agriculture. Dagne’s work focuses on developing automated systems to detect crop diseases at an early stage, utilizing advanced AI models to improve food security and agricultural sustainability. His passion for using technology to bridge the gap between agriculture and innovation has led to impactful research that can potentially transform the agricultural landscape in Ethiopia and beyond. Dagne is committed to making a difference by empowering farmers with actionable insights that can enhance crop yields and reduce losses. As an educator, Dagne also plays a pivotal role in nurturing the next generation of IT professionals in Ethiopia, providing them with the necessary tools to apply advanced technologies in real-world scenarios.

Professional Profile

Education:

Dagne Walle Girmaw holds a Master’s degree in Information Technology from the University of Gondar, completed in 2021. He also earned his Bachelor’s degree in Information Technology from Haramaya University in 2017. His academic journey has been focused on acquiring a deep understanding of IT systems, with a particular emphasis on machine learning and deep learning. The combination of his education and technical skills has enabled him to pioneer research in applying these advanced technologies to agricultural challenges. His education from two reputable institutions in Ethiopia has provided him with both theoretical knowledge and practical experience in addressing real-world issues in agriculture, particularly the detection of crop diseases using AI.

Professional Experience:

Since 2018, Dagne has been a lecturer and researcher at Haramaya University, where he imparts knowledge on Information Technology and leads research initiatives focused on AI applications in agriculture. As a lecturer, he has played a key role in shaping the education of students, particularly those interested in IT, by teaching courses and supervising academic projects. His research experience spans over six years, during which he has developed several deep learning-based models for detecting crop diseases such as stem rust in wheat, livestock skin diseases, and common bean leaf diseases. His academic and research endeavors at Haramaya University have allowed him to make meaningful contributions to the field of agricultural technology and provide students with cutting-edge insights into the intersection of IT and agriculture.

Research Interest:

Dagne Walle Girmaw’s research interests are primarily centered around the application of deep learning and machine learning techniques in agriculture. He is particularly focused on developing systems for early disease detection in crops, which can significantly improve agricultural productivity and food security. His research has led to the development of various models, such as those for detecting and classifying diseases in crops like wheat, beans, and peas, using deep convolutional neural networks (CNNs). Additionally, Dagne’s work includes using AI for the detection of counterfeit Ethiopian banknotes. His interest in machine learning-driven solutions highlights his desire to use technology to solve some of the most pressing challenges in the agricultural sector, with the ultimate goal of empowering farmers and enhancing food systems in Ethiopia and other developing countries.

Research Skills:

Dagne possesses strong research skills in machine learning, deep learning, and computer vision, which are central to his work on agricultural disease detection. He is proficient in using deep learning frameworks such as TensorFlow and Keras to develop complex models that can process and analyze agricultural data, including images of crops. His research skills also include data preprocessing, model evaluation, and optimization techniques, all of which are essential for creating accurate and reliable models. Furthermore, Dagne has experience in implementing algorithms for image classification and pattern recognition, which are key components in his work on disease detection. His ability to integrate AI technologies into real-world applications demonstrates a high level of proficiency in his field and a commitment to advancing agricultural technologies through research.

Awards and Honors:

Dagne Walle Girmaw has earned multiple Reviewer Contribution Certificates, recognizing his active participation in the academic and research community. These certificates highlight his role in reviewing academic papers, further cementing his reputation as a respected contributor to the field of Information Technology and machine learning. While specific awards for his research have not been mentioned, his work’s impact on agricultural technology has gained recognition, particularly in Ethiopia, where his research has the potential to improve the lives of farmers and contribute to national food security. His certifications and recognition as a reviewer reflect his dedication to advancing knowledge in both the academic and applied research fields.

Conclusion:

Dagne Walle Girmaw is a promising researcher and academic in the field of Information Technology, with a focus on using AI and deep learning to address challenges in agriculture. His work is particularly impactful in the realm of crop disease detection, where he has developed models that could potentially transform agricultural practices in Ethiopia and beyond. With a strong educational background, extensive professional experience, and a passion for solving agricultural problems through technology, Dagne is well-positioned to make significant contributions to both the academic and practical aspects of agricultural innovation. His research holds the potential to not only advance technology but also improve the livelihoods of farmers, enhance food security, and contribute to sustainable agricultural practices.

Publication Top Notes

  1. Title: Livestock animal skin disease detection and classification using deep learning approaches
    • Authors: Walle Girmaw, D.
    • Journal: Biomedical Signal Processing and Control
    • Year: 2025
    • Volume: 102
    • Article Number: 107334
  2. Title: Deep convolutional neural network model for classifying common bean leaf diseases
    • Authors: Girmaw, D.W., Muluneh, T.W.
    • Journal: Discover Artificial Intelligence
    • Year: 2024
    • Volume: 4(1)
    • Article Number: 96
  3. Title: A novel deep learning model for cabbage leaf disease detection and classification
    • Authors: Girmaw, D.W., Salau, A.O., Mamo, B.S., Molla, T.L.
    • Journal: Discover Applied Sciences
    • Year: 2024
    • Volume: 6(10)
    • Article Number: 521
  4. Title: Field pea leaf disease classification using a deep learning approach
    • Authors: Girmaw, D.W., Muluneh, T.W.
    • Journal: PLoS ONE
    • Year: 2024
    • Volume: 19(7)
    • Article Number: e0307747
  5. Title: Development of a Model for Detection and Grading of Stem Rust in Wheat Using Deep Learning
    • Authors: Nigus, E.A., Taye, G.B., Girmaw, D.W., Salau, A.O.
    • Journal: Multimedia Tools and Applications
    • Year: 2024
    • Volume: 83(16)
    • Pages: 47649–47676
    • Citations: 4

 

 

Piyush Kumar Garg | Computer Science | Best Researcher Award

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Mr. Piyush Kumar Garg | Computer Science | Best Researcher Award

PhD of Indian Institute of Technology, Patna, India.

Piyush Kumar Garg is a fifth-year PhD candidate in Computer Science and Engineering at the Indian Institute of Technology Patna, India, under the supervision of Dr. Sourav Kumar Dandapat. He is an active member of the Data Analytics & Network Science (DANeS) Lab, focusing on Disaster Tweet Summarization, Social Network Analysis, and Natural Language Processing. With a Master’s degree in Computer Science and Engineering from the Indian Institute of Technology Dhanbad and a Bachelor’s degree in Information Technology from Maharana Pratap University of Agriculture and Technology, Piyush brings a strong academic background to his research. He is recognized for his motivated and goal-oriented approach, alongside his proficiency in organizing events and his strong problem-solving skills. Piyush has garnered honors for his contributions to research and volunteering initiatives, showcasing his dedication to academia and community service.

Professional Profiles:

Education

Mr. Piyush Kumar Garg has dedicated himself to advancing his expertise in computer science and engineering through rigorous academic pursuits. He commenced his educational journey with a Bachelor of Technology in Information Technology from Maharana Pratap University of Agriculture and Technology College of Technology and Engineering in Udaipur, Rajasthan, India, where he laid the groundwork for his career in technology. Building upon this foundation, he pursued a Master of Technology in Computer Science and Engineering at the esteemed Indian Institute of Technology Dhanbad, Jharkhand, India, further honing his skills and knowledge in the field. Currently, he is engaged in doctoral research at the Indian Institute of Technology Patna, Bihar, India, where he is pursuing a PhD in Computer Science and Engineering. His academic pursuits have equipped him with a comprehensive understanding of computer science principles and methodologies, empowering him to contribute meaningfully to the field. Through his dedication and commitment to learning, Mr. Piyush Kumar Garg continues to excel in his academic endeavors, poised to make significant contributions to the realm of computer science and engineering.

Professional Experience

Mr. Piyush Kumar Garg, currently pursuing a PhD in Computer Science and Engineering at the Indian Institute of Technology Patna, has a diverse academic background and rich professional experience. With internships in web development at Vidhya Hitech Software Solution and ongoing research at IIT Patna, he demonstrates versatility and practical expertise. Under the guidance of Dr. Sourav Kumar Dandapat, his research focuses on Disaster Tweet Summarization, Social Network Analysis, and Natural Language Processing, showcasing his commitment to cutting-edge technology and its applications. Beyond academia, Mr. Garg actively engages in volunteer work with Street Cause and NSS, highlighting his dedication to social responsibility. With leadership roles in project management and event organization, coupled with his strong problem-solving skills and motivation to learn, Mr. Piyush Kumar Garg embodies a well-rounded professional poised for impactful contributions in the field of computer science.

Research Interest

Mr. Piyush Kumar Garg’s research interests span several areas within computer science and engineering. His primary focus lies in Disaster Tweet Summarization, aiming to develop efficient algorithms and techniques for extracting key information from tweets during crisis situations. Additionally, he is deeply engaged in Social Network Analysis, exploring patterns and structures within social networks to understand information dissemination and influence dynamics. Natural Language Processing forms another crucial aspect of his research, where he investigates techniques to analyze and understand human language data. Furthermore, his interests extend to Information Retrieval, Crisis Management, and Dialog Systems, reflecting a comprehensive approach to addressing contemporary challenges in technology and society. Through his diverse research interests, Mr. Garg seeks to contribute meaningfully to the advancement of knowledge and the development of practical solutions in these domains.

Award and Honors

Mr. Piyush Kumar Garg has garnered recognition for his academic and extracurricular achievements throughout his career. He has received prestigious awards such as academic scholarships, research grants, and accolades for his contributions to various initiatives. Additionally, his exceptional performance in academic settings has earned him distinctions and honors from esteemed institutions. Notably, his dedication to volunteer work and community service has been acknowledged through commendations and certificates of appreciation. Furthermore, his active involvement in organizing events and leading initiatives within academic and social spheres has been recognized by his peers and mentors. These awards and honors underscore Mr. Garg’s commitment to excellence and his significant impact in both academic and community contexts.

Research Skills

Mr. Piyush Kumar Garg possesses a diverse skill set tailored for advanced research in computer science and engineering. Proficient in various programming languages such as Python, Java, and C++, he demonstrates adeptness in algorithm design and implementation. His expertise extends to natural language processing techniques, data analytics, and network science methodologies. Additionally, he is skilled in utilizing machine learning and deep learning frameworks for complex data analysis tasks. With a strong foundation in statistical analysis and experimental design, Mr. Garg can effectively conduct research experiments and interpret results. Moreover, his ability to collaborate within multidisciplinary teams enhances his research capabilities, fostering innovative solutions to contemporary challenges in disaster tweet summarization, social network analysis, and information retrieval.

Publications

  1. IKDSumm: Incorporating key-phrases into BERT for extractive disaster tweet summarization
    • Journal: Computer Speech & Language
    • Year: 2024-08
    • DOI: 10.1016/j.csl.2024.101649
  2. OntoDSumm: Ontology-Based Tweet Summarization for Disaster Events
    • Journal: IEEE Transactions on Computational Social Systems
    • Year: 2023-04
    • DOI: 10.1109/tcss.2023.3266025
  3. EnDSUM: Entropy and Diversity based Disaster Tweet Summarization
    • Conference: Proceedings of Text2Story — Fifth Workshop on Narrative Extraction From Texts held in conjunction with the 44th European Conference on Information Retrieval (ECIR 2022)
    • Year: 2022-04-10
  4. SB-PSO based Secure Moving Average Time-based Fuzzy Resource Provisioning Approach (SBPSO-MATFRPA) with RSA
    • Journal: International Journal of Computer Applications
    • Year: 2018-04-17
    • DOI: 10.5120/ijca2018916824

 

Wadzani Aduwamai Gadzama | Computer Science | Best Researcher Award

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Mr. Wadzani Aduwamai Gadzama | Computer Science | Best Researcher Award

Lecturer at Federal Polytechnic, Mubi, Nigeria.

Wadzani Aduwamai Gadzama is an accomplished academician and ICT professional with a diverse background in computer science. He holds a Master’s degree in Computer Science (Information Security) from Universiti Teknologi, Malaysia, and is currently pursuing a Ph.D. in Computer Science at Kebbi State University of Science & Technology, Aliero. With a Bachelor’s degree in Information and Communication Technology from Federal University of Technology, Yola, he has built a solid foundation in the field. Wadzani’s expertise extends to various technical domains, supported by his extensive training and certifications in areas such as IT assembly, network infrastructure design, and cyber security. As a seasoned lecturer, he has contributed significantly to the academic community, holding positions at Federal Polytechnic, Mubi, Adamawa State, and actively engaging in research and project proposal writing. Wadzani’s dedication to advancing ICT education is further underscored by his co-authorship of two books on software engineering and computer fundamentals, published by Ahmadu Bello University Press.

Professional Profiles:

Education

Mr. Wadzani Aduwamai Gadzama’s educational background includes a Ph.D. in Computer Science (In View) from Kebbi State University of Science & Technology, Aliero, a Master of Computer Science (Information Security) from Universiti Teknologi, Malaysia, and a Bachelor of Technology in Information and Communication Technology (Second Class Upper Division) from Federal University of Technology, Yola.

Professional Experience

Mr. Wadzani Aduwamai Gadzama brings a wealth of experience to the field of academia and technology. Holding the position of Senior Lecturer at the ICT Unit of Federal Polytechnic, Mubi, Adamawa State since 2022, he has demonstrated his commitment to education and technological advancement. Prior to this role, he served as Lecturer I, II, and III at the same institution, contributing significantly to the development of students and programs within the ICT department. With a background in Mass Communication and Computer Science, Mr. Gadzama has a multifaceted skill set that he has applied in various capacities, including as Assistant Lecturer and during his tenure with the National Examination Council (NECO) as part of the National Youth Service Corps (NYSC). His dedication to teaching, coupled with his technical expertise, makes him a valuable asset to any academic or technological environment.

Research Interest

Mr. Wadzani Aduwamai Gadzama’s research interests span across the intersection of technology and education. Specifically, he is keen on exploring innovative approaches to integrating Information and Communication Technology (ICT) into educational systems to enhance learning outcomes. His research focuses on areas such as digital literacy, emerging skills in ICT, and the impact of technology on pedagogy. Additionally, Mr. Gadzama is interested in investigating the role of ICT in addressing educational challenges in remote and underserved communities, particularly in Nigeria. Through his work, he aims to contribute to the advancement of educational technology and its effective implementation to bridge the digital divide and promote inclusive and accessible education for all.

Award and Honors

Mr. Wadzani Aduwamai Gadzama has received recognition for his contributions to the field of Information and Communication Technology (ICT) in education. His dedication and excellence have earned him several awards and honors, acknowledging his commitment to advancing technology-enhanced learning and digital literacy initiatives. These accolades highlight his significant impact on promoting innovative approaches to integrating ICT into educational systems and addressing the digital divide in Nigeria. Through his work, Mr. Gadzama has demonstrated leadership and excellence in leveraging technology to enhance teaching and learning outcomes, making a valuable contribution to the field of educational technology and pedagogy.

Research Skills

Mr. Wadzani Aduwamai Gadzama is a dedicated researcher with a wealth of experience in Information and Communication Technology (ICT). With a background in Computer Science and a Ph.D. in progress, he has honed his research skills to excel in various aspects of academic inquiry. His expertise encompasses data analysis, experimental design, and both qualitative and quantitative research methods. Additionally, Mr. Gadzama is proficient in literature review, research proposal writing, and collaboration with interdisciplinary teams. His commitment to advancing knowledge in ICT is evident through his track record of publications and presentations at conferences. With a keen interest in educational technology and information security, Mr. Gadzama continues to contribute significantly to the field through his research endeavors.

Publications

  1. The use of machine learning and deep learning models in detecting depression on social media: A systematic literature review
    • Authors: Gadzama, W.A., Gabi, D., Argungu, M.S., Suru, H.U.
    • Journal: Personalized Medicine in Psychiatry
    • Year: 2024
    • Volume: 45-46
    • Article ID: 100125
    • Citations: 0
  2. Movement pattern extraction method in oppnet geocast routing
    • Authors: Abali, A.M., Ithnin, N.B., Dawood, M., Gadzama, W.A., Ghaleb, F.A.
    • Conference: Advances in Intelligent Systems and Computing
    • Year: 2020
    • Volume: 1073
    • Pages: 714–723
    • Citations: 0
  3. A survey of geocast routing protocols in opportunistic networks
    • Authors: Abali, A.M., Ithnin, N.B., Ebibio, T.A., Dawood, M., Gadzama, W.A.
    • Conference: Advances in Intelligent Systems and Computing
    • Year: 2020
    • Volume: 1073
    • Pages: 683–694
    • Citations: 4
  4. Evaluation of employees awareness and usage of information security policy in organizations of developing countrties: A study of federal inland revenue service, Nigeria
    • Authors: Gadzama, W.A., Katuka, J.I., Gambo, Y., Abali, A.M., Usman, M.J.
    • Journal: Journal of Theoretical and Applied Information Technology
    • Year: 2014
    • Volume: 67(2)
    • Pages: 443–460
    • Citations: 2