Hamed Khodadadi | Artificial Intelligence | Best Researcher Award Published on 22/08/202522/08/2025 by World Top Scientists Assoc. Prof. Dr. Hamed Khodadadi | Artificial Intelligence | Best Researcher Award Faculty Member at Khomeinishahr Branch, Islamic Azad University, Iran Dr. Hamed Khodadadi is an accomplished researcher and academic with extensive expertise in biomedical engineering, control systems, and machine learning, particularly in healthcare applications. His work focuses on developing advanced computer-aided diagnosis systems for detecting diseases such as cancer, brain disorders, cardiovascular conditions, ADHD, Parkinson’s, and Schizophrenia. He has also contributed significantly to biomedical control systems, medical drug dosing strategies, and applications of chaos theory in medical research. With a strong background in intelligent modeling, nonlinear and adaptive control, and optimization techniques, Dr. Khodadadi has published widely and earned multiple prestigious awards recognizing his impact. His research has not only advanced scientific understanding but also demonstrated practical value through patents and innovative devices. Alongside research, he has mentored numerous graduate and doctoral students, demonstrating dedication to academic growth and leadership. His combination of innovation, productivity, and mentorship positions him as a highly influential figure in biomedical engineering and applied machine learning. Professional Profile Google Scholar | Scopus Profile | ORCID Profile Education Dr. Hamed Khodadadi holds a Ph.D. in Electrical Engineering with a specialization in Control Systems from Azad University, Science and Research Branch, Tehran. His doctoral research focused on extracting nonlinear indices for image patterns and evaluating their application in cancer tumor control, bridging the gap between control theory and biomedical diagnosis. He earned his M.Sc. in Electrical Engineering, also in Control Systems, where his thesis involved designing and constructing a two-degree-of-freedom inertial stabilized platform, showcasing his strong foundation in system modeling and control. His academic journey began with a B.Sc. in Electrical Engineering at Iran University of Science and Technology, where he worked on PID controller design for pan-tilt movement in a gimbal system. This educational progression demonstrates a consistent focus on control systems with increasing application toward biomedical challenges, reflecting his ability to integrate engineering principles into healthcare innovations. His education has provided the solid technical base underpinning his interdisciplinary research career. Experience Dr. Khodadadi has over a decade of academic and research experience, serving as Assistant Professor and later Associate Professor at Azad University, Khomeinishahr Branch, where he supervises M.Sc. and Ph.D. students. His work includes designing advanced computer-aided diagnosis systems using biomedical signals and images for applications in cancer, cardiovascular disorders, ADHD, Parkinson’s, and Schizophrenia. He has also applied advanced control methods such as nonlinear, adaptive, fuzzy, and model predictive control to medical drug dosing, robotics, and industrial systems. His experience extends to the construction of biomedical and engineering devices, including prosthetic hands and robotic platforms. In addition to teaching graduate and undergraduate courses, he has actively guided thesis projects, contributing to the growth of young researchers. He has also undertaken collaborative roles in collecting biomedical databases, such as cardiovascular biomarkers and EEG signals, supporting clinical research. His broad experience demonstrates both depth in biomedical applications and versatility across engineering and industrial domains. Research Focus Dr. Khodadadi’s research centers on biomedical engineering, control systems, and machine learning, with a strong emphasis on healthcare applications. His work integrates computational intelligence, signal and image processing, and control theory to design advanced computer-aided diagnosis systems for life-threatening diseases, including various forms of cancer, brain disorders, and cardiovascular conditions. He has pioneered the application of nonlinear control, adaptive control, and metaheuristic optimization in medical drug dosing and disease modeling, contributing to precision medicine. Additionally, his research explores chaos theory and its role in biomedical image analysis, providing novel tools for early disease detection. He also investigates intelligent optimization and robust control techniques for diverse engineering applications, from robotics and power systems to industrial processes. His interdisciplinary focus blends theory with practical innovation, producing outcomes that advance both medical research and engineering systems. Ultimately, his research vision aims to improve diagnostic accuracy, treatment strategies, and patient outcomes through advanced engineering methods. Award and Honor Dr. Khodadadi has been recognized through numerous awards and honors that highlight his excellence in research, innovation, and mentorship. He has received multiple Best Researcher Awards at Azad University, including recognition at both departmental and institutional levels. His international visibility is reflected in honors such as Best Oral Presentation at the International Conference of Research in Europe and being a finalist for the Best Student Award at an IEEE international conference. He has also received recognition for supervising graduate theses with strong industrial impact, reflecting the practical value of his mentorship. His academic achievements include top rankings in national and Ph.D. entrance examinations, along with an Exceptional Talents Award early in his career. Furthermore, he earned the Best International Book Award at a university research festival, showcasing his contributions to scientific literature. Collectively, these accolades underscore his sustained contributions to advancing biomedical engineering, control systems, and healthcare-focused machine learning research. Publication Top Notes Title: Adaptive super-twisting non-singular terminal sliding mode control for tracking of quadrotor with bounded disturbancesAuthors: H. Ghadiri, M. Emami, H. KhodadadiYear: 2021Citations: 95 Title: Self-tuning PID controller design using fuzzy logic for half car active suspension systemAuthors: H. Khodadadi, H. GhadiriYear: 2018Citations: 90 Title: Heart arrhythmia diagnosis based on the combination of morphological, frequency and nonlinear features of ECG signals and metaheuristic feature selection algorithmAuthors: V. Mazaheri, H. KhodadadiYear: 2020Citations: 83 Title: Robust control and modeling a 2-DOF inertial stabilized platformAuthors: H. Khodadadi, M.R.J. Motlagh, M. GorjiYear: 2011Citations: 78 Title: The Diagnosis of Attention Deficit Hyperactivity Disorder Using Nonlinear Analysis of the EEG SignalAuthors: Y. Kiani, A.A. Rastegari, H. KhodadadiYear: 2019Citations: 72 Title: Human brain tumor diagnosis using the combination of the complexity measures and texture features through magnetic resonance imageAuthors: S. Salem Ghahfarrokhi, H. KhodadadiYear: 2020Citations: 54 Title: The effects of poplar bark and wood content on the mechanical properties of wood-polypropylene compositesAuthors: V. Safdari, H. Khodadadi, S.K. Hosseinihashemi, E. GanjianYear: 2011Citations: 53 Title: Fuzzy logic self-tuning PID control for a single-link flexible joint robot manipulator in the presence of uncertaintyAuthors: A. Dehghani, H. KhodadadiYear: 2015Citations: 41 Title: Designing a Neuro-Fuzzy PID Controller Based on Smith Predictor for Heating SystemAuthors: A. Dehghani, H. KhodadadiYear: 2017Citations: 35 Title: Malignant melanoma diagnosis applying a machine learning method based on the combination of nonlinear and texture featuresAuthors: S. Salem Ghahfarrokhi, H. Khodadadi, H. Ghadiri, F. FattahiYear: 2023Citations: 33 Title: Climate control of an agricultural greenhouse by using fuzzy logic self-tuning PID approachAuthors: M. Heidari, H. KhodadadiYear: 2017Citations: 28 Title: Fuzzy Logic Self-tuning PID Controller Design Based on Smith Predictor for Heating SystemAuthors: H. Khodadadi, A. DehghaniYear: 2016Citations: 25 Title: Fuzzy Logic Self-Tuning PID Controller Design for Ball Mill Grinding Circuits Using an Improved Disturbance ObserverAuthors: H. Khodadadi, H. GhadiriYear: 2019Citations: 24 Title: Speed control of a DC motor using a fractional order sliding mode controllerAuthors: S. Heidarpoor, M. Tabatabaei, H. KhodadadiYear: 2017Citations: 23 Title: Emerging Technologies in Medicine: Artificial Intelligence, Robotics, and Medical AutomationAuthors: M. Rezaei, S. Saei, S.J. Khouzani, M.E. Rostami, M. Rahmannia, …Year: 2023Citations: 21 Conclusion Dr. Hamed Khodadadi’s research contributions reflect a strong blend of theoretical innovation and practical application across biomedical engineering, control systems, and machine learning. His highly cited works demonstrate significant impact in fields such as disease diagnosis, biomedical signal and image processing, and intelligent control methods. The breadth of his publications, spanning healthcare applications, robotics, and industrial systems, highlights both versatility and depth. With consistent recognition through citations, patents, and international awards, his research not only advances academic knowledge but also addresses real-world medical and engineering challenges. Collectively, his achievements establish him as a leading researcher whose contributions are both impactful and enduring, making him a deserving candidate for prestigious recognition such as the Best Researcher Award.
Dr. Hamed Khodadadi is an accomplished researcher and academic with extensive expertise in biomedical engineering, control systems, and machine learning, particularly in healthcare applications. His work focuses on developing advanced computer-aided diagnosis systems for detecting diseases such as cancer, brain disorders, cardiovascular conditions, ADHD, Parkinson’s, and Schizophrenia. He has also contributed significantly to biomedical control systems, medical drug dosing strategies, and applications of chaos theory in medical research. With a strong background in intelligent modeling, nonlinear and adaptive control, and optimization techniques, Dr. Khodadadi has published widely and earned multiple prestigious awards recognizing his impact. His research has not only advanced scientific understanding but also demonstrated practical value through patents and innovative devices. Alongside research, he has mentored numerous graduate and doctoral students, demonstrating dedication to academic growth and leadership. His combination of innovation, productivity, and mentorship positions him as a highly influential figure in biomedical engineering and applied machine learning. Professional Profile Google Scholar | Scopus Profile | ORCID Profile Education Dr. Hamed Khodadadi holds a Ph.D. in Electrical Engineering with a specialization in Control Systems from Azad University, Science and Research Branch, Tehran. His doctoral research focused on extracting nonlinear indices for image patterns and evaluating their application in cancer tumor control, bridging the gap between control theory and biomedical diagnosis. He earned his M.Sc. in Electrical Engineering, also in Control Systems, where his thesis involved designing and constructing a two-degree-of-freedom inertial stabilized platform, showcasing his strong foundation in system modeling and control. His academic journey began with a B.Sc. in Electrical Engineering at Iran University of Science and Technology, where he worked on PID controller design for pan-tilt movement in a gimbal system. This educational progression demonstrates a consistent focus on control systems with increasing application toward biomedical challenges, reflecting his ability to integrate engineering principles into healthcare innovations. His education has provided the solid technical base underpinning his interdisciplinary research career. Experience Dr. Khodadadi has over a decade of academic and research experience, serving as Assistant Professor and later Associate Professor at Azad University, Khomeinishahr Branch, where he supervises M.Sc. and Ph.D. students. His work includes designing advanced computer-aided diagnosis systems using biomedical signals and images for applications in cancer, cardiovascular disorders, ADHD, Parkinson’s, and Schizophrenia. He has also applied advanced control methods such as nonlinear, adaptive, fuzzy, and model predictive control to medical drug dosing, robotics, and industrial systems. His experience extends to the construction of biomedical and engineering devices, including prosthetic hands and robotic platforms. In addition to teaching graduate and undergraduate courses, he has actively guided thesis projects, contributing to the growth of young researchers. He has also undertaken collaborative roles in collecting biomedical databases, such as cardiovascular biomarkers and EEG signals, supporting clinical research. His broad experience demonstrates both depth in biomedical applications and versatility across engineering and industrial domains. Research Focus Dr. Khodadadi’s research centers on biomedical engineering, control systems, and machine learning, with a strong emphasis on healthcare applications. His work integrates computational intelligence, signal and image processing, and control theory to design advanced computer-aided diagnosis systems for life-threatening diseases, including various forms of cancer, brain disorders, and cardiovascular conditions. He has pioneered the application of nonlinear control, adaptive control, and metaheuristic optimization in medical drug dosing and disease modeling, contributing to precision medicine. Additionally, his research explores chaos theory and its role in biomedical image analysis, providing novel tools for early disease detection. He also investigates intelligent optimization and robust control techniques for diverse engineering applications, from robotics and power systems to industrial processes. His interdisciplinary focus blends theory with practical innovation, producing outcomes that advance both medical research and engineering systems. Ultimately, his research vision aims to improve diagnostic accuracy, treatment strategies, and patient outcomes through advanced engineering methods. Award and Honor Dr. Khodadadi has been recognized through numerous awards and honors that highlight his excellence in research, innovation, and mentorship. He has received multiple Best Researcher Awards at Azad University, including recognition at both departmental and institutional levels. His international visibility is reflected in honors such as Best Oral Presentation at the International Conference of Research in Europe and being a finalist for the Best Student Award at an IEEE international conference. He has also received recognition for supervising graduate theses with strong industrial impact, reflecting the practical value of his mentorship. His academic achievements include top rankings in national and Ph.D. entrance examinations, along with an Exceptional Talents Award early in his career. Furthermore, he earned the Best International Book Award at a university research festival, showcasing his contributions to scientific literature. Collectively, these accolades underscore his sustained contributions to advancing biomedical engineering, control systems, and healthcare-focused machine learning research. Publication Top Notes Title: Adaptive super-twisting non-singular terminal sliding mode control for tracking of quadrotor with bounded disturbancesAuthors: H. Ghadiri, M. Emami, H. KhodadadiYear: 2021Citations: 95 Title: Self-tuning PID controller design using fuzzy logic for half car active suspension systemAuthors: H. Khodadadi, H. GhadiriYear: 2018Citations: 90 Title: Heart arrhythmia diagnosis based on the combination of morphological, frequency and nonlinear features of ECG signals and metaheuristic feature selection algorithmAuthors: V. Mazaheri, H. KhodadadiYear: 2020Citations: 83 Title: Robust control and modeling a 2-DOF inertial stabilized platformAuthors: H. Khodadadi, M.R.J. Motlagh, M. GorjiYear: 2011Citations: 78 Title: The Diagnosis of Attention Deficit Hyperactivity Disorder Using Nonlinear Analysis of the EEG SignalAuthors: Y. Kiani, A.A. Rastegari, H. KhodadadiYear: 2019Citations: 72 Title: Human brain tumor diagnosis using the combination of the complexity measures and texture features through magnetic resonance imageAuthors: S. Salem Ghahfarrokhi, H. KhodadadiYear: 2020Citations: 54 Title: The effects of poplar bark and wood content on the mechanical properties of wood-polypropylene compositesAuthors: V. Safdari, H. Khodadadi, S.K. Hosseinihashemi, E. GanjianYear: 2011Citations: 53 Title: Fuzzy logic self-tuning PID control for a single-link flexible joint robot manipulator in the presence of uncertaintyAuthors: A. Dehghani, H. KhodadadiYear: 2015Citations: 41 Title: Designing a Neuro-Fuzzy PID Controller Based on Smith Predictor for Heating SystemAuthors: A. Dehghani, H. KhodadadiYear: 2017Citations: 35 Title: Malignant melanoma diagnosis applying a machine learning method based on the combination of nonlinear and texture featuresAuthors: S. Salem Ghahfarrokhi, H. Khodadadi, H. Ghadiri, F. FattahiYear: 2023Citations: 33 Title: Climate control of an agricultural greenhouse by using fuzzy logic self-tuning PID approachAuthors: M. Heidari, H. KhodadadiYear: 2017Citations: 28 Title: Fuzzy Logic Self-tuning PID Controller Design Based on Smith Predictor for Heating SystemAuthors: H. Khodadadi, A. DehghaniYear: 2016Citations: 25 Title: Fuzzy Logic Self-Tuning PID Controller Design for Ball Mill Grinding Circuits Using an Improved Disturbance ObserverAuthors: H. Khodadadi, H. GhadiriYear: 2019Citations: 24 Title: Speed control of a DC motor using a fractional order sliding mode controllerAuthors: S. Heidarpoor, M. Tabatabaei, H. KhodadadiYear: 2017Citations: 23 Title: Emerging Technologies in Medicine: Artificial Intelligence, Robotics, and Medical AutomationAuthors: M. Rezaei, S. Saei, S.J. Khouzani, M.E. Rostami, M. Rahmannia, …Year: 2023Citations: 21 Conclusion Dr. Hamed Khodadadi’s research contributions reflect a strong blend of theoretical innovation and practical application across biomedical engineering, control systems, and machine learning. His highly cited works demonstrate significant impact in fields such as disease diagnosis, biomedical signal and image processing, and intelligent control methods. The breadth of his publications, spanning healthcare applications, robotics, and industrial systems, highlights both versatility and depth. With consistent recognition through citations, patents, and international awards, his research not only advances academic knowledge but also addresses real-world medical and engineering challenges. Collectively, his achievements establish him as a leading researcher whose contributions are both impactful and enduring, making him a deserving candidate for prestigious recognition such as the Best Researcher Award.
Prashant Awasthi | Artificial Intelligence and Machine Learning | Best Researcher Award Published on 21/08/202521/08/2025 by World Top Scientists Mr. Prashant Awasthi | Artificial Intelligence and Machine Learning | Best Researcher Award Tech Architecture Manager at Accenture LLP, United States Mr. Prashant Awasthi is a seasoned technology leader and researcher with extensive experience in Generative AI, DevOps, Cloud Computing, and Machine Learning. With a strong professional background in managing large-scale projects for global clients, he has consistently bridged advanced research with practical industry applications. His contributions to academia include multiple publications in reputed journals and international conferences on diverse topics such as AI, cloud computing, IoT security, cryptocurrencies, and human activity recognition. Beyond publishing, he has played active roles as a reviewer, session chair, and invited speaker at global conferences, demonstrating his recognition and influence within the research community. He is also a member of IEEE and IAENG, further reflecting his engagement with international scientific networks. Known for his technical expertise, leadership, and dedication, Mr. Awasthi continues to make meaningful contributions that advance innovation and knowledge, establishing him as a strong candidate for research recognition and awards. Professional Profile Google Scholar | Scopus Profile Education Mr. Prashant Awasthi has built a strong educational foundation that supports his extensive professional and research career. His academic journey reflects a balance between theoretical learning and practical application, with a focus on computer science, information technology, and software engineering. Throughout his education, he developed expertise in programming, system design, and emerging technologies, which laid the groundwork for his later specialization in cloud computing, DevOps, and artificial intelligence. His continuous learning mindset is evident in his pursuit of globally recognized professional certifications, including AWS Cloud Solutions Architect, HashiCorp Terraform, and ITIL V4. These advanced credentials demonstrate his commitment to staying updated with evolving technologies and applying them effectively in real-world environments. His academic and professional learning paths are closely integrated, allowing him to contribute significantly to both industry and research. This strong educational background has enabled him to engage in innovative research and knowledge-sharing at the global level. Experience Mr. Prashant Awasthi has more than eighteen years of experience in the IT industry, with a career spanning leadership roles in global organizations such as Accenture, HSBC, and Harbinger Systems. At Accenture LLP, he has served as a Tech Architecture Manager, overseeing end-to-end project lifecycles, from requirement analysis to deployment, while managing large teams and delivering solutions for Fortune 500 clients, particularly in the banking and finance sectors. His professional expertise extends across Generative AI, cloud computing, DevOps, CI/CD pipelines, software development, and middleware systems. He has consistently demonstrated strong leadership by guiding teams, driving client engagements, and ensuring the delivery of high-quality solutions. His background also includes hands-on technical skills in Java, Python, Unix/Linux, and database systems. This combination of managerial and technical expertise allows him to effectively integrate innovation into business solutions. His professional experience illustrates a successful balance between technical depth, organizational leadership, and research-driven development. Research Focus Mr. Prashant Awasthi’s research focus lies at the intersection of artificial intelligence, cloud computing, cybersecurity, and emerging digital technologies. His published work addresses critical areas such as reinforcement learning, heuristic algorithms, human activity recognition using CNNs, framework-agnostic JavaScript libraries, and the role of AI-powered systems like ChatGPT. He has also explored blockchain, cryptocurrencies, and IoT security frameworks, highlighting his multidisciplinary approach to solving contemporary technology challenges. His work often emphasizes integrating advanced algorithms with real-world applications, such as improving system efficiency, scalability, and security in cloud environments. He has a strong interest in sustainable and innovative computing solutions, as reflected in his research on digital twins, wireless fog-IoT networks, and environmental data analysis. By contributing to both applied and theoretical dimensions of research, he bridges academia and industry, ensuring that his work remains relevant and impactful. His focus on practical implementation ensures that his research benefits technological advancement globally. Award and Honor Mr. Prashant Awasthi has received recognition for his contributions to research, academia, and the professional community through various prestigious roles and honors. He has been invited as a speaker at international conferences, where he has shared his insights on artificial intelligence, machine learning, and generative AI. His expertise has also earned him appointments as a session chair and reviewer at globally recognized conferences, including events organized by Springer, Elsevier, and international academic bodies. By serving as a reviewer and technical committee member, he has contributed to maintaining research quality and supporting innovation within the global scientific community. His memberships with leading professional associations such as IEEE and IAENG further highlight his standing as a respected contributor to the field. These honors, combined with his published research in reputed journals and conferences, reflect his dedication to advancing technology and academia. His recognition underscores his credibility as a global researcher and thought leader. Publication Top Notes Title: Framework-Agnostic JavaScript Component Libraries: Benefits, Implementation Strategies, and Commercialization ModelsAuthors: KK Gupta, P Awasthi, M Shaik, PR KaveriYear: 2024Citations: 6 Title: ChatGPT: The Power Of AIAuthors: P Awasthi, DPR KaveriYear: 2023Citations: 2 Title: Effect of Prompt Engineering on Education Sector: A Mixed Case StudyAuthors: P AwasthiYear: 2021Citations: 2 Title: Evaluating the Need of Reinforcement Learning by Implementing Heuristic Algorithms with Its Load Balancing and Performance Testing in CloudAuthors: KDPA Prathamesh Vijay Lahande, Parag Ravikant Kaveri, Vinay ChavanYear: 2025 Title: Explainability and Interpretability of Large Language Models in Critical ApplicationsAuthors: PA Vinod Goje, Rohit Jarubula, Sai Krishna KalakondaYear: 2025 Title: Real-Time Human Motion Behaviour Recognition Using Deep Learning ModelsAuthors: P AwasthiYear: 2025 Title: Integrating Human Motion Dynamics in CNN Architecture to Recognize Human Activity from Different Camera AnglesAuthors: KK Gupta, JH Lee, PR Kaveri, P AwasthiYear: 2025 Title: Seasonal Variations and Water Quality Dynamics: Analysis of Kanota Dam in Relation to WHO StandardsAuthors: DK Meena, S Singh, SK Singh, V Pandey, RS Rana, B Sajan, P Awasthi, et al.Year: 2024 Title: History, Current, and Prospective of Bitcoin and CryptocurrencyAuthors: MD Prashant AwasthiYear: 2024 Conclusion Mr. Prashant Awasthi’s publication record reflects a strong blend of technical innovation, academic contribution, and interdisciplinary research. His works span critical areas such as artificial intelligence, machine learning, cloud computing, blockchain, and applied deep learning, highlighting both depth and versatility. With multiple papers published in reputed conferences and journals, along with growing citation impact, his research demonstrates recognition and relevance in the scholarly community. Additionally, his contributions as a sole author and as part of collaborative teams show his ability to lead as well as integrate within diverse research environments. While some of his recent works are yet to accumulate citations, they address timely and impactful topics that are likely to gain traction in the coming years. Overall, his research portfolio establishes him as a promising and impactful contributor to academia and industry, making him a strong candidate for recognition in awards and honors related to research excellence.
Mr. Prashant Awasthi is a seasoned technology leader and researcher with extensive experience in Generative AI, DevOps, Cloud Computing, and Machine Learning. With a strong professional background in managing large-scale projects for global clients, he has consistently bridged advanced research with practical industry applications. His contributions to academia include multiple publications in reputed journals and international conferences on diverse topics such as AI, cloud computing, IoT security, cryptocurrencies, and human activity recognition. Beyond publishing, he has played active roles as a reviewer, session chair, and invited speaker at global conferences, demonstrating his recognition and influence within the research community. He is also a member of IEEE and IAENG, further reflecting his engagement with international scientific networks. Known for his technical expertise, leadership, and dedication, Mr. Awasthi continues to make meaningful contributions that advance innovation and knowledge, establishing him as a strong candidate for research recognition and awards. Professional Profile Google Scholar | Scopus Profile Education Mr. Prashant Awasthi has built a strong educational foundation that supports his extensive professional and research career. His academic journey reflects a balance between theoretical learning and practical application, with a focus on computer science, information technology, and software engineering. Throughout his education, he developed expertise in programming, system design, and emerging technologies, which laid the groundwork for his later specialization in cloud computing, DevOps, and artificial intelligence. His continuous learning mindset is evident in his pursuit of globally recognized professional certifications, including AWS Cloud Solutions Architect, HashiCorp Terraform, and ITIL V4. These advanced credentials demonstrate his commitment to staying updated with evolving technologies and applying them effectively in real-world environments. His academic and professional learning paths are closely integrated, allowing him to contribute significantly to both industry and research. This strong educational background has enabled him to engage in innovative research and knowledge-sharing at the global level. Experience Mr. Prashant Awasthi has more than eighteen years of experience in the IT industry, with a career spanning leadership roles in global organizations such as Accenture, HSBC, and Harbinger Systems. At Accenture LLP, he has served as a Tech Architecture Manager, overseeing end-to-end project lifecycles, from requirement analysis to deployment, while managing large teams and delivering solutions for Fortune 500 clients, particularly in the banking and finance sectors. His professional expertise extends across Generative AI, cloud computing, DevOps, CI/CD pipelines, software development, and middleware systems. He has consistently demonstrated strong leadership by guiding teams, driving client engagements, and ensuring the delivery of high-quality solutions. His background also includes hands-on technical skills in Java, Python, Unix/Linux, and database systems. This combination of managerial and technical expertise allows him to effectively integrate innovation into business solutions. His professional experience illustrates a successful balance between technical depth, organizational leadership, and research-driven development. Research Focus Mr. Prashant Awasthi’s research focus lies at the intersection of artificial intelligence, cloud computing, cybersecurity, and emerging digital technologies. His published work addresses critical areas such as reinforcement learning, heuristic algorithms, human activity recognition using CNNs, framework-agnostic JavaScript libraries, and the role of AI-powered systems like ChatGPT. He has also explored blockchain, cryptocurrencies, and IoT security frameworks, highlighting his multidisciplinary approach to solving contemporary technology challenges. His work often emphasizes integrating advanced algorithms with real-world applications, such as improving system efficiency, scalability, and security in cloud environments. He has a strong interest in sustainable and innovative computing solutions, as reflected in his research on digital twins, wireless fog-IoT networks, and environmental data analysis. By contributing to both applied and theoretical dimensions of research, he bridges academia and industry, ensuring that his work remains relevant and impactful. His focus on practical implementation ensures that his research benefits technological advancement globally. Award and Honor Mr. Prashant Awasthi has received recognition for his contributions to research, academia, and the professional community through various prestigious roles and honors. He has been invited as a speaker at international conferences, where he has shared his insights on artificial intelligence, machine learning, and generative AI. His expertise has also earned him appointments as a session chair and reviewer at globally recognized conferences, including events organized by Springer, Elsevier, and international academic bodies. By serving as a reviewer and technical committee member, he has contributed to maintaining research quality and supporting innovation within the global scientific community. His memberships with leading professional associations such as IEEE and IAENG further highlight his standing as a respected contributor to the field. These honors, combined with his published research in reputed journals and conferences, reflect his dedication to advancing technology and academia. His recognition underscores his credibility as a global researcher and thought leader. Publication Top Notes Title: Framework-Agnostic JavaScript Component Libraries: Benefits, Implementation Strategies, and Commercialization ModelsAuthors: KK Gupta, P Awasthi, M Shaik, PR KaveriYear: 2024Citations: 6 Title: ChatGPT: The Power Of AIAuthors: P Awasthi, DPR KaveriYear: 2023Citations: 2 Title: Effect of Prompt Engineering on Education Sector: A Mixed Case StudyAuthors: P AwasthiYear: 2021Citations: 2 Title: Evaluating the Need of Reinforcement Learning by Implementing Heuristic Algorithms with Its Load Balancing and Performance Testing in CloudAuthors: KDPA Prathamesh Vijay Lahande, Parag Ravikant Kaveri, Vinay ChavanYear: 2025 Title: Explainability and Interpretability of Large Language Models in Critical ApplicationsAuthors: PA Vinod Goje, Rohit Jarubula, Sai Krishna KalakondaYear: 2025 Title: Real-Time Human Motion Behaviour Recognition Using Deep Learning ModelsAuthors: P AwasthiYear: 2025 Title: Integrating Human Motion Dynamics in CNN Architecture to Recognize Human Activity from Different Camera AnglesAuthors: KK Gupta, JH Lee, PR Kaveri, P AwasthiYear: 2025 Title: Seasonal Variations and Water Quality Dynamics: Analysis of Kanota Dam in Relation to WHO StandardsAuthors: DK Meena, S Singh, SK Singh, V Pandey, RS Rana, B Sajan, P Awasthi, et al.Year: 2024 Title: History, Current, and Prospective of Bitcoin and CryptocurrencyAuthors: MD Prashant AwasthiYear: 2024 Conclusion Mr. Prashant Awasthi’s publication record reflects a strong blend of technical innovation, academic contribution, and interdisciplinary research. His works span critical areas such as artificial intelligence, machine learning, cloud computing, blockchain, and applied deep learning, highlighting both depth and versatility. With multiple papers published in reputed conferences and journals, along with growing citation impact, his research demonstrates recognition and relevance in the scholarly community. Additionally, his contributions as a sole author and as part of collaborative teams show his ability to lead as well as integrate within diverse research environments. While some of his recent works are yet to accumulate citations, they address timely and impactful topics that are likely to gain traction in the coming years. Overall, his research portfolio establishes him as a promising and impactful contributor to academia and industry, making him a strong candidate for recognition in awards and honors related to research excellence.
Mr. Prashant Awasthi’s publication record reflects a strong blend of technical innovation, academic contribution, and interdisciplinary research. His works span critical areas such as artificial intelligence, machine learning, cloud computing, blockchain, and applied deep learning, highlighting both depth and versatility. With multiple papers published in reputed conferences and journals, along with growing citation impact, his research demonstrates recognition and relevance in the scholarly community. Additionally, his contributions as a sole author and as part of collaborative teams show his ability to lead as well as integrate within diverse research environments. While some of his recent works are yet to accumulate citations, they address timely and impactful topics that are likely to gain traction in the coming years. Overall, his research portfolio establishes him as a promising and impactful contributor to academia and industry, making him a strong candidate for recognition in awards and honors related to research excellence.
Kishan Kesari Gupta | Artificial Intelligence | Best Researcher Award Published on 21/08/202521/08/2025 by World Top Scientists Mr. Kishan Kesari Gupta | Artificial Intelligence | Best Researcher Award Software Engineer at Capgemini Technology Services India Limited, India Mr. Kishan Kesari Gupta is a proficient consultant and researcher with extensive expertise in developing scalable, efficient, and user-focused applications using modern technologies such as React, Vue, Java, Spring Boot, Ruby on Rails, and Python. With significant experience across industries like banking, finance, and insurance, he has successfully delivered complex projects involving microservices, cloud platforms, blockchain, and artificial intelligence. Beyond his professional contributions, he has actively engaged in research, publishing impactful papers with reputed publishers including IEEE, Springer, and Elsevier, while also serving as a reviewer and session chair at international conferences. His thought leadership is further reflected through technical blogs and articles that simplify complex concepts for the wider community. With a strong foundation in continuous learning, team mentorship, and innovation, Mr. Gupta bridges the gap between cutting-edge research and real-world applications, making him a well-rounded professional and a strong candidate for prestigious recognitions in research and technology. Professional Profile Google Scholar Education Mr. Kishan Kesari Gupta holds a Master of Science in Computer Applications from Symbiosis International University, Pune, where he honed his technical and analytical abilities with a strong focus on software engineering, programming, and emerging technologies. He also earned his Bachelor of Business Administration in Computer Applications from Savitribai Phule Pune University, where he developed a strong interdisciplinary foundation blending business principles with computer science. His academic journey not only equipped him with comprehensive technical expertise but also instilled a problem-solving mindset, enabling him to bridge theory with practical applications. Through his education, he developed proficiency in programming languages, software design, databases, and system architecture, which later served as the cornerstone of his professional and research endeavors. His continuous pursuit of learning, complemented by engagement in academic research and knowledge sharing, reflects his commitment to both technical excellence and innovation in the field of computer science and information technology. Experience Mr. Kishan Kesari Gupta has built a distinguished professional career as a consultant with leading organizations, delivering high-impact projects across finance, insurance, and banking domains. At TechVerito Software Solutions, he worked extensively with modern frameworks such as Vue.js, React, Ruby on Rails, Java, and Spring Boot, developing scalable applications and deploying microservices through Docker and CI/CD pipelines. His expertise extended to building RESTful APIs, implementing secure architectures, and contributing to test-driven development practices. Later, at Capgemini, he contributed to strategic digital transformation initiatives, including customer onboarding and digital asset solutions for global banks, leveraging technologies such as blockchain, cloud computing, and artificial intelligence. His work consistently emphasized innovation, system efficiency, and user-centric design, while he actively contributed to agile processes through sprints, PR reviews, and deployment strategies. With experience in leadership, technical mentoring, and project management, he has demonstrated the ability to translate complex requirements into impactful technology-driven outcomes. Research Focus Mr. Kishan Kesari Gupta’s research focus lies at the intersection of artificial intelligence, machine learning, computer vision, blockchain, and scalable software systems. He has contributed significantly to academic research, with publications in reputed platforms such as IEEE, Springer, and Elsevier, covering topics like machine vision for heart health monitoring and human activity recognition using deep learning and CNN architectures. His work emphasizes applying advanced computational methods to solve real-world challenges, particularly in healthcare analytics, automation, and secure digital ecosystems. Additionally, he explores generative AI, large language models, and agentic AI, examining their potential for reshaping industries and human-technology interaction. His interest extends to leveraging blockchain for secure financial transactions and digital asset management, merging his industry experience with academic inquiry. By blending theoretical advancements with practical applications, he contributes to both the academic community and the technology industry, striving to build impactful solutions that are innovative, ethical, and future-ready. Award and Honor Mr. Kishan Kesari Gupta has been recognized for his dual contributions to both industry and academia, positioning him as a strong candidate for awards in research and technology innovation. His role as a session chair and research reviewer at international conferences reflects the academic community’s trust in his expertise and leadership. His impactful research publications with globally recognized publishers highlight his commitment to advancing knowledge and delivering practical solutions. Additionally, his leadership in major industry projects, particularly in digital transformation and financial technology, has earned him credibility as a technology innovator. His blogs and articles further enhance his reputation, as they simplify complex concepts and provide valuable insights to professionals and learners worldwide. These achievements, combined with his ongoing exploration of artificial intelligence, machine learning, and blockchain, underline his stature as a thought leader deserving of recognition through awards that honor excellence in research and applied technology. Publication Top Notes Title: Framework-Agnostic JavaScript Component Libraries: Benefits, Implementation Strategies, and Commercialization ModelsAuthors: KK Gupta, P Awasthi, M Shaik, PR KaveriYear: 2024Citations: 6 Title: Understanding the need for machine learning as a solution for financial analysis of IT industriesAuthors: KK Gupta, A Anil, A Anand, PR KaveriYear: 2020Citations: 1 Title: Development of an Autonomous Weeding Robot for Roadside WeedsAuthors: Y Matsushita, KK Gupta, Y Fujii, DT Tran, JH LeeYear: 2025 Title: iSpace Coding: A System for User-Defined Flexible Spatial Functions in Intelligent SpacesAuthors: S Yoshida, KK Gupta, Y Fujii, DT Tran, JH LeeYear: 2025 Title: Integrating Human Motion Dynamics in CNN Architecture to Recognize Human Activity from Different Camera AnglesAuthors: KK Gupta, JH Lee, PR Kaveri, P AwasthiYear: 2025 Title: Implementing Machine Vision Process to Analyze Echocardiography for Heart Health MonitoringAuthors: KK Gupta, A Anil, PR KaveriYear: 2022 Conclusion The publication record of Mr. Kishan Kesari Gupta reflects a strong and evolving research trajectory that bridges computer science, artificial intelligence, and applied technologies. His contributions span diverse areas such as machine learning for financial analysis, computer vision for healthcare, deep learning for human activity recognition, and innovative applications in robotics and intelligent spaces. The cited works, particularly in IEEE and Springer, indicate both academic relevance and growing recognition within the research community. His most cited paper on framework-agnostic JavaScript component libraries highlights his ability to merge practical software engineering with academic exploration. Recent works in robotics, human motion dynamics, and medical imaging demonstrate his focus on impactful, interdisciplinary research with real-world applications. Collectively, his publications showcase technical depth, innovation, and a commitment to advancing knowledge, positioning him as a promising researcher whose work continues to contribute meaningfully to both academia and industry.
Mr. Kishan Kesari Gupta is a proficient consultant and researcher with extensive expertise in developing scalable, efficient, and user-focused applications using modern technologies such as React, Vue, Java, Spring Boot, Ruby on Rails, and Python. With significant experience across industries like banking, finance, and insurance, he has successfully delivered complex projects involving microservices, cloud platforms, blockchain, and artificial intelligence. Beyond his professional contributions, he has actively engaged in research, publishing impactful papers with reputed publishers including IEEE, Springer, and Elsevier, while also serving as a reviewer and session chair at international conferences. His thought leadership is further reflected through technical blogs and articles that simplify complex concepts for the wider community. With a strong foundation in continuous learning, team mentorship, and innovation, Mr. Gupta bridges the gap between cutting-edge research and real-world applications, making him a well-rounded professional and a strong candidate for prestigious recognitions in research and technology. Professional Profile Google Scholar Education Mr. Kishan Kesari Gupta holds a Master of Science in Computer Applications from Symbiosis International University, Pune, where he honed his technical and analytical abilities with a strong focus on software engineering, programming, and emerging technologies. He also earned his Bachelor of Business Administration in Computer Applications from Savitribai Phule Pune University, where he developed a strong interdisciplinary foundation blending business principles with computer science. His academic journey not only equipped him with comprehensive technical expertise but also instilled a problem-solving mindset, enabling him to bridge theory with practical applications. Through his education, he developed proficiency in programming languages, software design, databases, and system architecture, which later served as the cornerstone of his professional and research endeavors. His continuous pursuit of learning, complemented by engagement in academic research and knowledge sharing, reflects his commitment to both technical excellence and innovation in the field of computer science and information technology. Experience Mr. Kishan Kesari Gupta has built a distinguished professional career as a consultant with leading organizations, delivering high-impact projects across finance, insurance, and banking domains. At TechVerito Software Solutions, he worked extensively with modern frameworks such as Vue.js, React, Ruby on Rails, Java, and Spring Boot, developing scalable applications and deploying microservices through Docker and CI/CD pipelines. His expertise extended to building RESTful APIs, implementing secure architectures, and contributing to test-driven development practices. Later, at Capgemini, he contributed to strategic digital transformation initiatives, including customer onboarding and digital asset solutions for global banks, leveraging technologies such as blockchain, cloud computing, and artificial intelligence. His work consistently emphasized innovation, system efficiency, and user-centric design, while he actively contributed to agile processes through sprints, PR reviews, and deployment strategies. With experience in leadership, technical mentoring, and project management, he has demonstrated the ability to translate complex requirements into impactful technology-driven outcomes. Research Focus Mr. Kishan Kesari Gupta’s research focus lies at the intersection of artificial intelligence, machine learning, computer vision, blockchain, and scalable software systems. He has contributed significantly to academic research, with publications in reputed platforms such as IEEE, Springer, and Elsevier, covering topics like machine vision for heart health monitoring and human activity recognition using deep learning and CNN architectures. His work emphasizes applying advanced computational methods to solve real-world challenges, particularly in healthcare analytics, automation, and secure digital ecosystems. Additionally, he explores generative AI, large language models, and agentic AI, examining their potential for reshaping industries and human-technology interaction. His interest extends to leveraging blockchain for secure financial transactions and digital asset management, merging his industry experience with academic inquiry. By blending theoretical advancements with practical applications, he contributes to both the academic community and the technology industry, striving to build impactful solutions that are innovative, ethical, and future-ready. Award and Honor Mr. Kishan Kesari Gupta has been recognized for his dual contributions to both industry and academia, positioning him as a strong candidate for awards in research and technology innovation. His role as a session chair and research reviewer at international conferences reflects the academic community’s trust in his expertise and leadership. His impactful research publications with globally recognized publishers highlight his commitment to advancing knowledge and delivering practical solutions. Additionally, his leadership in major industry projects, particularly in digital transformation and financial technology, has earned him credibility as a technology innovator. His blogs and articles further enhance his reputation, as they simplify complex concepts and provide valuable insights to professionals and learners worldwide. These achievements, combined with his ongoing exploration of artificial intelligence, machine learning, and blockchain, underline his stature as a thought leader deserving of recognition through awards that honor excellence in research and applied technology. Publication Top Notes Title: Framework-Agnostic JavaScript Component Libraries: Benefits, Implementation Strategies, and Commercialization ModelsAuthors: KK Gupta, P Awasthi, M Shaik, PR KaveriYear: 2024Citations: 6 Title: Understanding the need for machine learning as a solution for financial analysis of IT industriesAuthors: KK Gupta, A Anil, A Anand, PR KaveriYear: 2020Citations: 1 Title: Development of an Autonomous Weeding Robot for Roadside WeedsAuthors: Y Matsushita, KK Gupta, Y Fujii, DT Tran, JH LeeYear: 2025 Title: iSpace Coding: A System for User-Defined Flexible Spatial Functions in Intelligent SpacesAuthors: S Yoshida, KK Gupta, Y Fujii, DT Tran, JH LeeYear: 2025 Title: Integrating Human Motion Dynamics in CNN Architecture to Recognize Human Activity from Different Camera AnglesAuthors: KK Gupta, JH Lee, PR Kaveri, P AwasthiYear: 2025 Title: Implementing Machine Vision Process to Analyze Echocardiography for Heart Health MonitoringAuthors: KK Gupta, A Anil, PR KaveriYear: 2022 Conclusion The publication record of Mr. Kishan Kesari Gupta reflects a strong and evolving research trajectory that bridges computer science, artificial intelligence, and applied technologies. His contributions span diverse areas such as machine learning for financial analysis, computer vision for healthcare, deep learning for human activity recognition, and innovative applications in robotics and intelligent spaces. The cited works, particularly in IEEE and Springer, indicate both academic relevance and growing recognition within the research community. His most cited paper on framework-agnostic JavaScript component libraries highlights his ability to merge practical software engineering with academic exploration. Recent works in robotics, human motion dynamics, and medical imaging demonstrate his focus on impactful, interdisciplinary research with real-world applications. Collectively, his publications showcase technical depth, innovation, and a commitment to advancing knowledge, positioning him as a promising researcher whose work continues to contribute meaningfully to both academia and industry.