Aqil K H | Artificial intelligence | Best Researcher Award

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Mr. Aqil K H | Artificial intelligence | Best Researcher Award

Indian institute of technology Madras-India

Author Profile

Early Academic Pursuits đź“š

Dr. Aqil K H’s passion for electrical engineering and innovation began at a young age in Kerala, India. His academic journey started at the Model Technical Higher Secondary School in Ernakulam, where he excelled in the state board exams, securing an impressive 98.33% in 2012 for his X standard and 95.58% in 2014 for his XII standard. These early achievements underscored his commitment to learning and laid the foundation for his future success. After completing his pre-university education, he pursued a Bachelor of Technology (B.Tech) degree in Electronics and Communication Engineering (ECE) from the prestigious Government Model Engineering College in Ernakulam, Kerala, where he graduated with a commendable CGPA of 8.36 in 2018. His strong academic foundation and technical skills positioned him for higher studies and research.

Professional Endeavors 🌍

Dr. Aqil’s career began as a Software Engineer at Kimball Electronics (India) Pvt. Ltd., where he contributed to various projects within the image processing domain. His role involved the development of computer vision frameworks and algorithm optimization for improving image quality. Working closely with clients in Vietnam, he demonstrated his adaptability and ability to manage real-world challenges, marking his early years of professional growth.In 2020, Dr. Aqil transitioned into research, joining the Healthcare Technology Innovation Centre (HTIC) at IIT Madras, one of the country’s leading research institutes. As a Research Associate, he worked on several impactful projects. One notable project was the X-ray angiography image enhancement initiative, where he collaborated with industry partners to enhance imaging technology. His work on precision medicine for chronic diseases, particularly Alzheimer’s, further expanded his contributions to healthcare innovations. This multi-modal time series forecasting system, aimed at predicting disease progression, utilized cutting-edge techniques like graph representation learning.Additionally, Dr. Aqil became associated with the Sudha Gopalakrishnan BRAIN Centre at IIT-M, where he contributed to groundbreaking research in fetal brain MRI segmentation and histopathology image segmentation. These projects highlighted his ability to apply machine learning and image processing techniques to critical medical fields.

Contributions and Research Focus 🔬

Dr. Aqil’s research primarily focuses on deep learning, machine learning, and image processing, with a particular interest in healthcare applications. His expertise lies in creating sophisticated algorithms and frameworks for medical imaging, including MRI segmentation, dental panoramic X-ray analysis, and time-series forecasting for clinical outcomes.

Some of his key projects include:

  • Learning to Atlas Register for Rapid Segmentation of Brain Structures in Fetal MRI: This innovative project addressed challenges in brain segmentation, focusing on multilabel atlas-based segmentation. By using the VoxelMorph’s CNN architecture, Dr. Aqil formulated registration as a deformation field that aligned neurotypical brain images for better diagnosis.
  • Time Series Forecasting of Clinical Factors and Outcomes: This project was geared toward Alzheimer’s disease prediction, using a graph representation learning approach. Dr. Aqil proposed a novel framework that operated on dynamic graphs, translating medical data into actionable insights for clinicians.
  • Accelerated MRI with Untrained Neural Networks: Addressing the problem of MRI reconstruction, this project leveraged untrained neural networks to solve issues related to undersampling, using innovative techniques like ConvDecoder.

His work on dental panoramic X-ray segmentation utilized deep learning techniques to enable the early diagnosis of dental disorders. Dr. Aqil’s fascination with machine learning also extended into areas of face recognition technology, where he developed a door access control system based on K-L transform for face recognition.

Accolades and Recognition 🏅

Throughout his career, Dr. Aqil has earned widespread recognition for his contributions to both research and industry. His academic achievements, such as a CGPA of 9.00 in his Master’s program at IIT-Madras, reflect his dedication to excellence. His research endeavors at IIT-Madras’s HTIC and BRAIN Centre have led to publications that have earned citations, indicating his growing influence in the field of medical image processing and machine learning.

Impact and Influence 🌟

Dr. Aqil’s research has had a profound impact on the field of medical imaging. His work on X-ray angiography and fetal brain MRI segmentation has improved diagnostic capabilities, helping doctors make more informed decisions. The time series forecasting systems he developed for Alzheimer’s disease prediction are poised to revolutionize how chronic diseases are managed and treated. His contributions to precision medicine are critical in an era where personalized treatment plans are becoming the norm.His research contributions extend beyond academic circles, as his image processing frameworks are being implemented in real-world medical settings, influencing the future of healthcare technology.

Legacy and Future Contributions 🚀

Dr. Aqil K H is set to leave a lasting legacy in the intersection of electrical engineering and healthcare technology. His groundbreaking work in image processing and deep learning promises to continue shaping the future of medical diagnostics. As a researcher, his contributions to accelerated MRI reconstruction and graph-based time-series forecasting have set new standards in medical imaging research. His passion for education, research, and technological advancement ensures that his work will inspire future engineers and researchers.In the coming years, Dr. Aqil aims to expand his research to include multi-modal medical data integration and AI-driven healthcare solutions, further pushing the boundaries of how technology can improve human health. His dedication to innovation, collaboration, and continuous learning will undoubtedly leave an enduring mark on the fields of deep learning and medical imaging.

Notable Publications 

  • Predictive Modeling of Alzheimer’s Disease Progression: Integrating Temporal Clinical Factors and Outcomes in Time Series Forecasting
    Authors: Aqil, K.H., Dumpuri, P., Ram, K., Sivaprakasam, M.
    Journal: Intelligence-Based Medicine, 2024.
  • Confounding Factors Mitigation in Brain Age Prediction Using MRI with Deformation Fields
    Authors: Aqil, K.H., Kulkarni, T., Jayakumar, J., Ram, K., Sivaprakasam, M.
    Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2023.
  • Learning to Atlas Register for Rapid Segmentation of Brain Structures in Fetal MRI
    Authors: Kulkarni, T., Aqil, K.H., Jayakumar, J., Ram, K., Sivaprakasam, M.
    Journal: Progress in Biomedical Optics and Imaging – Proceedings of SPIE, 2023.

Aravinda Rajan V | Machine Learning | Best Researcher Award

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Mr. Aravinda Rajan V | Machine Learning | Best Researcher Award

Kalasalingam Academy of Research and Education, India

Author Profile

Early Academic Pursuits 🎓

Mr. V. Aravinda Rajan embarked on his academic journey with a strong foundation in Electronics and Communication Engineering, earning his Bachelor of Engineering (B.E) degree from Oxford Engineering College, Trichy, affiliated with Anna University, Chennai, in 2008. His passion for advancing in the field led him to pursue a Master of Engineering (M.E) in Communication Systems at Anand Institute of Higher Technology, Chennai, under the esteemed Anna University. He successfully completed his M.E in 2010, laying the groundwork for a career focused on technology and education. Currently, Mr. Rajan is pursuing his Ph.D. in Information and Communication from Anna University, Chennai, further solidifying his commitment to academic excellence and research in his field.

Professional Endeavors and Experience đź’Ľ

Mr. V. Aravinda Rajan has garnered significant experience in the academic sector, contributing over a decade of his career to shaping the minds of future engineers. His professional journey began in 2010 when he served as a Lecturer at Apollo Engineering College, Chennai, from July 2, 2010, to October 23, 2010. This initial experience provided him with a strong foundation in teaching and curriculum development.In December 2010, Mr. Rajan took on the role of Assistant Professor at K.L.N College of Engineering, Madurai, where he dedicated nearly 13 years to teaching and mentoring students. His tenure at K.L.N College was marked by his unwavering commitment to education and the development of students’ technical skills, which earned him recognition as a respected educator in the academic community.As of June 1, 2023, Mr. Rajan continues his academic journey as an Assistant Professor at Kalasalingam Academy of Research and Education, Krishnankoil. In this role, he is actively involved in both teaching and research, contributing to the institution’s mission of fostering innovation and academic excellence.

Contributions and Research Focus 🔬

Throughout his academic career, Mr. V. Aravinda Rajan has maintained a keen focus on research and development within the field of Information and Communication. His ongoing Ph.D. research at Anna University, Chennai, underscores his dedication to exploring new frontiers in this dynamic area of study. While his research is still in progress, it is expected to yield significant contributions to the field, particularly in the areas of communication systems, data transmission, and information processing.In addition to his research activities, Mr. Rajan has been instrumental in shaping the curriculum and pedagogical approaches at the institutions where he has served. His experience and expertise in Communication Systems have enabled him to introduce innovative teaching methodologies, ensuring that students receive a well-rounded and practical education.

Accolades and Recognition 🏆

Mr. Rajan’s dedication to academia has not gone unnoticed. Throughout his career, he has been recognized for his contributions to teaching and research. His role as an Assistant Professor at K.L.N College of Engineering saw him receiving accolades from both students and peers for his ability to simplify complex concepts and foster a learning environment that encourages critical thinking and innovation.While specific awards and recognitions may not be detailed here, Mr. Rajan’s consistent career progression and his appointment at prestigious institutions such as Kalasalingam Academy of Research and Education are a testament to his expertise and reputation in the academic community.

Impact and Influence 🌍

The impact of Mr. V. Aravinda Rajan’s work extends beyond the classroom. His contributions to the academic community, particularly in the field of Communication Systems, have influenced the way these subjects are taught and understood. By integrating real-world applications and cutting-edge research into his teaching, Mr. Rajan has equipped his students with the skills necessary to excel in a rapidly evolving technological landscape.His influence is also evident in the success of his students, many of whom have gone on to pursue advanced studies and careers in engineering and technology. Mr. Rajan’s mentorship has played a crucial role in shaping the careers of these individuals, and his legacy is reflected in their achievements.

Legacy and Future Contributions 🌟

As Mr. V. Aravinda Rajan continues his academic journey, his legacy as an educator, researcher, and mentor is firmly established. His ongoing Ph.D. research promises to make significant contributions to the field of Information and Communication, potentially leading to advancements in communication technologies and systems.Looking forward, Mr. Rajan is poised to continue making a positive impact on the academic community. His commitment to innovation and excellence ensures that he will remain a key figure in the development of future generations of engineers and technologists. His work will continue to inspire students and colleagues alike, solidifying his place as a respected leader in the field of engineering education.

Citations

A total of 878 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         878
  • h-index           9
  • i10-index        9

Notable Publications 

  • Eliminate the Interference in 5G Ultra-Wide Band Communication Antennas in Cloud Computing Networks
    Authors: G. Ramesh, J. Logeshwaran, V. Aravindarajan, F. Thachil
    Journal: ICTACT Journal on Microelectronics, Volume 8, Issue 2, Pages 1338-1344
    Year: 2022
  • The Identification of Quantum Effects in Electronic Devices Based on Charge Transfer Magnetic Field Model
    Authors: B. Gopi, J. Logeshwaran, J. Gowri, V. Aravindarajan
    Journal: NeuroQuantology, Volume 20, Issue 8, Page 5999
    Year: 2022
  • FPSMM: Fuzzy Probabilistic Based Semi Markov Model Among the Sensor Nodes for Real-Time Applications
    Authors: V.A.R. Logeshwaran Jaganathan, Kiruthiga Thangavel
    Journal: International Conference on Intelligent Sustainable Systems
    Year: 2017
  • Estimation Analysis of Paralysis Effects for Human Nervous System by Using Neuro Fuzzy Logic Controller
    Authors: G. Ramesh, V. Aravindarajan, J. Logeshwaran, T. Kiruthiga
    Journal: NeuroQuantology, Volume 20, Issue 8, Page 3195
    Year: 2022
  • SVPA – The Segmentation Based Visual Processing Algorithm (SVPA) for Illustration Enhancements in Digital Video Processing (DVP)
    Authors: S.P.R. Logeshwaran Jaganathan, Kiruthiga Thangavel, V. Aravinda Rajan
    Journal: ICTACT Journal on Image and Video Processing, Volume 12
    Year: 2022.

Souvik Das | Artificial intelligence | Excellence in Research

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Assist Prof Dr. Souvik Das | Artificial intelligence | Excellence in Research

NIT Rourkela, India

Author Profile

Early Academic Pursuits 🎓

Souvik Das’s journey in academia began with a strong foundation in Electrical Engineering, where he pursued his Bachelor of Technology (B.Tech.) at the Regional Computer Centre Institute of Information Technology (RCCIIT) in West Bengal, India, from August 2010 to July 2014. During this period, Souvik demonstrated a keen interest in the technical aspects of electrical systems, which earned him a commendable CGPA of 8.48/10. His academic rigor and curiosity laid the groundwork for his future endeavors in engineering and research.Continuing his academic pursuit, Souvik Das enrolled in the Master of Technology (M. Tech.) program in Industrial Engineering and Management at the prestigious Indian Institute of Technology Kharagpur (IIT KGP) from July 2015 to May 2017. With a CGPA of 8.84/10, he not only excelled academically but also began to refine his research interests, particularly in the areas of human factors, safety engineering, and analytics. This period marked a significant shift in his academic focus, as he started exploring the interdisciplinary nexus of engineering, safety, and human interaction.Souvik’s thirst for knowledge culminated in his doctoral studies, where he pursued a Ph.D. in Safety Engineering and Analytics at IIT Kharagpur from June 2017 to August 2023. His dissertation, titled “Data-Driven Modeling of Cognitive Workload using Eye Tracking Metrics,” underscored his commitment to pioneering research at the intersection of technology and human cognition. Through this work, Souvik contributed valuable insights into understanding how eye-tracking metrics can be leveraged to model cognitive workload, a critical aspect of safety engineering and human factors.

Professional Endeavors 🛠️

Souvik Das’s professional journey is characterized by his roles as a researcher, scholar, and innovator. His career trajectory reflects a consistent dedication to advancing the field of safety engineering and analytics through cutting-edge research and applied projects.From September 2021 to May 2023, Souvik served as the Principal Research Scientist at the Centre of Excellence in Safety Engineering and Analytics (CoE-SEA) at IIT Kharagpur. In this capacity, he played a pivotal role in conceptualizing, planning, and executing innovative projects focused on occupational safety and ergonomics. His work during this period was instrumental in publishing three high-impact journal articles that have contributed to the body of knowledge in safety engineering. Souvik’s ability to collaborate with cross-functional teams and translate research findings into actionable insights also had a significant influence on the development of Industry 4.0 solutions, particularly in enhancing situational awareness in the workplace.In June 2023, Souvik took on the role of Visiting Scholar at the School of Engineering Technology (SOET) at Purdue University, USA. Here, he has been involved in pioneering projects that utilize natural language processing and large language models to analyze vast volumes of accident and incident narratives. This role not only highlights his adaptability to new research environments but also his commitment to applying advanced technologies to solve real-world safety challenges.Additionally, Souvik’s contributions extend to the academic publishing domain, where he has been serving as an Associate Editor for the Journal of Emerging Investigators, Inc., since November 2023. In this role, he is responsible for managing the peer review process, ensuring timely and thorough reviews, and guiding young scientists in transforming their research into formal publications.

Contributions and Research Focus 🔍

Souvik Das’s research interests are diverse and interdisciplinary, encompassing Human Factors and Ergonomics, Safety Engineering and Analytics, Risk Assessment, Virtual and Augmented Reality, Eye Movements Analysis, Artificial Intelligence, and Machine Learning. His work in these areas is underpinned by a strong foundation in both theoretical and applied research methodologies.One of Souvik’s notable contributions is his work on data-driven modeling of cognitive workload using eye-tracking metrics. This research provides critical insights into how cognitive load can be quantified and monitored in real-time, offering significant implications for enhancing safety in various industrial and occupational settings. His work in this area not only contributes to the academic discourse but also has practical applications in improving workplace safety and efficiency.Souvik’s expertise in coding (R, Python, HTML, C++) and his proficiency with a wide range of software tools, including MATLAB, Delmia, LINGO, MINITAB, and SPSS, among others, have enabled him to approach his research with a robust analytical framework. His ability to integrate these tools into his research allows him to tackle complex problems with precision and innovation.

Accolades and Recognition 🏅

Throughout his academic and professional career, Souvik Das has received recognition for his contributions to the field of safety engineering and analytics. His published works in high-impact journals are a testament to the quality and relevance of his research. Additionally, his role as an Associate Editor of a scientific journal further underscores his standing in the academic community, where he is trusted to mentor and guide emerging researchers.

Impact and Influence 🌟

Souvik’s work has had a profound impact on both academic and industrial sectors. His research has influenced the development of safer and more efficient industrial processes, particularly through his contributions to Industry 4.0 solutions. By integrating human factors into safety engineering, Souvik’s work has helped bridge the gap between technology and human interaction, leading to more effective safety protocols and practices.

His influence extends beyond his immediate research environment, as he continues to mentor young scientists and contribute to the academic community through his editorial work and collaborative research efforts.

Legacy and Future Contributions 🧭

As Souvik Das continues his journey as a Visiting Scholar at Purdue University, his future contributions are poised to further advance the fields of safety engineering and human factors. His ongoing projects involving natural language processing and large language models signal a forward-thinking approach to research, where technology is harnessed to address complex safety challenges.Souvik’s legacy will likely be defined by his interdisciplinary approach, his commitment to bridging the gap between research and practice, and his ability to mentor the next generation of researchers. As he continues to explore new frontiers in safety engineering and analytics, his work will undoubtedly leave a lasting impact on both academia and industry.

Citations

A total of 192 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         192
  • h-index            21
  • i10-index         8

Notable Publications 

  • Title: Assessment of Cognitive Workload Based on Information Theory Enabled Eye Metrics
    Authors: Das, S., Maiti, J.
    Journal: Safety Science
    Year: 2024
  • Title: A Semi-Automated Coding Scheme for Occupational Injury Data: An Approach Using Bayesian Decision Support System
    Authors: Das, S., Khanwelkar, D.R., Maiti, J.
    Journal: Expert Systems with Applications
    Year: 2024
  • Title: A Novel Classification Approach Based on Context Connotative Network (CCNet): A Case of Construction Site Accidents
    Authors: Gupta, A.K., Sai Pardheev, C.G.V., Choudhuri, S., Garg, A., Maiti, J.
    Journal: Expert Systems with Applications
    Year: 2022
  • Title: Eye-Tracking Data as a Way to Detect Sleep Deprivation in an Individual, Based on Attention, Mental Agility, and Problem-Solving
    Authors: Das, S., Pratyush, P., Das, D., Maiti, J., Krishna, O.B.
    Book: Machine Learning Algorithms for Engineering Applications: Future Trends and Research Directions
    Year: 2022
  • Title: Reconstruction of 3D Point Cloud Based on the Sequence of Images
    Authors: Das, S., Girdharwal, A., Maiti, J., Krishna, O.B.
    Book: Machine Learning Algorithms for Engineering Applications: Future Trends and Research Directions
    Year: 2022.

Vishwash Sharma | Big data | Best Research Award

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Mr. Vishwash Sharma | Big data | Best Research Award

Amrita Vishwa Vidyapeetham, India

Author Profile

🎓 Early Academic Pursuits

Vishwash Sharma’s journey into the world of computer science and artificial intelligence began during his formative years at Kendriya Vidyalaya No-2, Jalahalli East. His academic excellence was evident early on, as he secured a remarkable 91% in Grade 10 in 2019 and maintained a high standard with 87% in Grade 12 in 2021. His strong foundation in science and mathematics, coupled with a burgeoning interest in technology, paved the way for his future endeavors.Vishwash’s passion for computer science led him to pursue a Bachelor of Technology (B.Tech) in Computer Science and Artificial Intelligence at Amrita Vishwa Vidyapeetham, Bangalore. His dedication and hard work reflected in his impressive CGPA of 8.43, showcasing his commitment to mastering the complexities of AI and machine learning. Throughout his undergraduate studies, Vishwash has demonstrated a keen interest in applying AI to solve real-world problems, particularly in the fields of cybersecurity and deep learning.

đź’» Professional Endeavors

As a final-year undergraduate student, Vishwash Sharma has already made significant strides in the field of artificial intelligence and cybersecurity. His professional journey is marked by a series of projects and contributions that highlight his technical acumen and innovative thinking.One of Vishwash’s notable projects is “Detecting Plant Diseases at Scale: A Distributed CNN Approach with PySpark and Hadoop,” which he presented at the International Conference on Machine Learning and Data Engineering (ICMLDE) in 2023. In this project, Vishwash developed a convolutional neural network (CNN) model using PySpark, achieving an impressive accuracy of 95.76% in detecting plant diseases from a dataset of 2000 images. To ensure the model’s practical applicability, he created a user-friendly interface with Tkinter, allowing seamless integration into agricultural practices. This project not only showcases his proficiency in machine learning frameworks but also his ability to apply AI solutions to address pressing challenges in agriculture.Another significant contribution by Vishwash is his work on “Federated Ensemble for Lung Pneumonia Detection,” which he presented at the 15th IEEE International Conference on Computing, Communication, and Networking Technologies in 2024. In this project, he developed a federated CNN ensemble model for lung pneumonia detection, emphasizing the importance of data privacy by training models locally at distributed medical institutions. The ensemble of VGG16 and a sequential model achieved the best accuracy, while the ensemble of GoogLeNet minimized false negatives, demonstrating the efficacy of federated learning in sensitive medical applications.

🔍 Contributions and Research Focus

Vishwash Sharma’s research and project work are centered around machine learning, deep learning, and cybersecurity. His approach to solving complex problems is characterized by a blend of technical expertise and a deep understanding of the real-world implications of his work.In the domain of cybersecurity, Vishwash has contributed significantly as a Digital Forensics and Incident Response (DFIR) mentor for Team bi0sblr. Specializing in network forensics and memory forensics, he has utilized tools such as Wireshark, Ghex, Scapy, and Volatility to mentor and guide his team. Under his leadership, Team bi0sblr consistently ranked among the top 5 in all India Capture The Flag (CTF) competitions, a testament to his skills and leadership.In addition to his work in cybersecurity, Vishwash has also been actively involved in AI-driven projects. His role as the Computer Science Subsystem Lead for Team Rover, participating in the ISRO Rover Challenge 2024, highlights his ability to integrate AI and robotics. He oversaw the design, development, and integration of computer science components into the rover platform, utilizing tools such as Jetson Nano, Intel RealSense Camera, PyTorch, and TensorFlow to achieve project objectives. This project underscores his versatility and ability to apply AI in diverse fields.

🏅 Accolades and Recognition

Vishwash Sharma’s dedication to his craft has earned him several accolades and certifications. He is an AWS Academy Graduate, having completed the AWS Academy Introduction to Cloud Semester in 2022. His commitment to data science and AI is further evidenced by his certification in Data Science Foundations from Great Learning in 2022, and his hands-on experience in AI for real-world applications through AI4ICPS at IIT Kharagpur in 2023.Moreover, Vishwash is a Certified Cyber Security Analyst (C3SA) from Cyberwarfare Labs, showcasing his dual expertise in AI and cybersecurity. His certification in Python for Genomic Data Science from Coursera highlights his interest in interdisciplinary applications of AI, further broadening his skill set.

🌍 Impact and Influence

Vishwash’s contributions have had a significant impact on both academic and professional communities. His work in plant disease detection has the potential to revolutionize agricultural practices by providing farmers with an accessible and accurate tool for monitoring crop health. Similarly, his research in federated learning for medical applications offers a promising approach to preserving patient privacy while enhancing diagnostic accuracy.As a mentor and leader, Vishwash has influenced many students and peers, particularly in the field of cybersecurity. His guidance has been instrumental in the success of Team bi0sblr, and his leadership in Team Rover demonstrates his ability to drive complex projects to successful outcomes.

🌠 Legacy and Future Contributions

Looking ahead, Vishwash Sharma is poised to make even greater contributions to the fields of AI, machine learning, and cybersecurity. His academic background, coupled with his hands-on experience in cutting-edge projects, positions him as a future leader in these domains. Vishwash is passionate about leveraging AI to create innovative solutions that enhance safety and efficiency across various industries.As he continues to explore new challenges and opportunities, Vishwash is committed to advancing the frontiers of AI and cybersecurity. His legacy will likely be defined by his contributions to the development of AI-driven solutions that address critical global issues, as well as his role in mentoring the next generation of technologists and researchers.