Rajendra Pawar | Machine Learning | Best Researcher Award

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Dr. Rajendra Pawar | Machine Learning | Best Researcher Award

MIT Art, Design and Technology University , Pune-India.

Author Profile

Early Academic Pursuits 🎓

Dr. Rajendra Genaba Pawar’s academic journey began with his passion for Information Technology. He completed his Bachelor’s degree in Information Technology from Shivaji University, Kolhapur, in 2005, laying a strong foundation in the rapidly evolving field of computer science. Determined to advance his knowledge, Dr. Pawar pursued his M.Tech. in Information Technology at Bharati Vidyapeeth University, Pune, graduating in 2013. His academic accomplishments reached a pinnacle when he earned his Ph.D. in Computer Science Engineering from Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, in March 2022. His doctoral research added to his already rich academic profile and contributed significantly to the field of computer science.

Professional Endeavors đŸ«

Dr. Pawar’s career is marked by progressive roles across various prestigious institutions. He began his teaching journey as a Lecturer at Bharati Vidyapeeth College of Engineering, Pune, from July 2005 to June 2007, followed by a position at Sinhgad Institute of Technology, Lonavala, where he taught until April 2008. His passion for teaching and research then led him to MAEER’s MIT College of Engineering, Pune, where he served as an Assistant Professor from May 2008 to July 2020. During this time, Dr. Pawar shaped the minds of countless students while engaging in research endeavors that broadened the horizons of computer science.In August 2020, Dr. Pawar joined MAEER’s MIT World Peace University, Pune, as an Assistant Professor, further expanding his research portfolio while delivering high-quality education. His unwavering dedication to academia and innovation earned him a promotion to Associate Professor at the School of Computing, MAEER’S MIT Art, Design, and Technology University, Pune, in August 2023. Dr. Pawar continues to inspire students and colleagues with his expertise and dedication to research.

Contributions and Research Focus 🔍🧠

Dr. Pawar’s research interests span several cutting-edge areas in computer science, with a focus on Machine Learning, Artificial Intelligence, Data Science, Python Programming, Computer Graphics, Software Engineering, Multimedia Systems, and Software Design and Modeling. His contributions in these domains have been crucial in advancing both theoretical and practical aspects of technology.Dr. Pawar’s research in artificial intelligence and machine learning stands out, especially in its application to real-world problems. His interest in Python programming and data science has enabled him to mentor students in developing robust and scalable software solutions. Additionally, his work in computer graphics and software design has significantly contributed to the understanding of user experience design, making him a well-rounded educator and researcher in his field.

Accolades and Recognition 🏅📜

Dr. Pawar’s relentless pursuit of knowledge and his efforts in educating the next generation of technologists have earned him numerous certifications and accolades. He has obtained a range of professional certificates, including:

  1. Generative AI for Everyone by DeepLearning.AI through Coursera (Feb 2024), demonstrating his commitment to staying at the forefront of AI technology.
  2. Crash Course on Python by Google, offered through Coursera (Sept 2022), which reflects his expertise in programming languages.
  3. Complete Python Master Class: Learn Python from Scratch by Udemy (May 2018), highlighting his dedication to mastering the Python language.
  4. Microsoft Certified Azure Fundamentals (May 2024), indicating his proficiency in cloud computing and Microsoft Azure services.

These certifications exemplify his ongoing commitment to personal and professional development, as well as his desire to bring cutting-edge technology and learning to his students.

Impact and Influence đŸ’ĄđŸ‘šâ€đŸ«

Dr. Pawar has left an indelible mark on the academic and professional communities through his teaching, research, and mentorship. His students have not only gained technical knowledge but have also developed critical thinking and problem-solving skills under his guidance. His role as a teacher has transcended beyond the classroom as he continuously encourages students to engage in research and innovation. Moreover, his expertise in Python programming and machine learning has helped shape the careers of many aspiring data scientists and software engineers.His contributions to MIT World Peace University and the broader academic community have been profound, influencing curriculum development and research initiatives across his areas of specialization.

Legacy and Future Contributions 🏆🚀

As Dr. Pawar continues his academic and research journey, his legacy grows with each student he mentors and each research paper he publishes. His contributions to the fields of artificial intelligence, machine learning, and computer science are poised to influence future advancements in technology. With his focus on emerging trends and continuous learning, Dr. Pawar will undoubtedly remain a key figure in shaping the future of computer science education and research.In the years to come, Dr. Pawar aims to contribute further to the growing body of knowledge in machine learning and AI, particularly in developing solutions that can impact industries such as healthcare, education, and more. His commitment to using technology for societal good ensures that his influence will continue to extend far beyond the academic community.

Citations

A total of 42 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         42
  • h-index           19
  • i10-index        04

Notable Publications 

  • Dried fish dataset for Indian seafood: A machine learning application
    Paygude, P., Gayakwad, M., Wategaonkar, D., Pujeri, R., Joshi, R.
    Data in Brief, 2024.
  • Innovative approaches for skin disease identification in machine learning: A comprehensive study
    Vayadande, K., Bhosle, A.A., Pawar, R.G., Bailke, P.A., Lohade, O.
    Oral Oncology Reports, 2024.
  • Synergizing Investment Portfolios: A Technologically Advanced Approach with Integrated Chatbot Capabilities
    Shelke, P.M., Pawar, R.G., Pawar, P., Rathod, R., Kawoor, T.
    2024 MIT Art, Design and Technology School of Computing International Conference, MITADTSoCiCon 2024.
  • MIT-WPU Insight Sync: A Data Empowerment Platform
    Shah, D., Singh, A.K., Prasad, A., Dixit, B., Pawar, R.G.
    2024 MIT Art, Design and Technology School of Computing International Conference, MITADTSoCiCon 2024.
  • Challenges and a Novel Approach for Image Captioning Using Neural Network and Searching Techniques
    Dixit, B., Pawar, R.G., Gayakwad, M., Mahajan, A., Chinchmalatpure, S.V.
    International Journal of Intelligent Systems and Applications in Engineering, 2023.

Preeti | Artificial intelligence | Best Researcher Award

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Ms. Preeti | Artificial intelligence | Best Researcher Award

IITM janakpuri, India

Author Profile

Early Academic Pursuits 🏅

Preeti’s journey in the realm of computer science began with her pursuit of a B.Tech in Computer Science Engineering (CSE). Her dedication and academic prowess were evident early on, as she excelled in her studies, earning the title of overall college topper. Her achievements during this time were not just limited to academic excellence; she also held the position of Academic Deputy Leader, which demonstrated her leadership skills and commitment to her peers. Preeti’s outstanding performance in her undergraduate studies earned her the prestigious Golden Eagle Award, accompanied by a cash prize, and an appreciation letter for her role as an academic deputy leader. These accolades reflect her unwavering dedication to her field and her potential for future success.

Professional Endeavors đŸ§‘â€đŸ«

After completing her B.Tech, Preeti advanced her academic journey with an M.Tech in Computer Science Engineering, further solidifying her foundation in the field. Her specialization in Machine Learning, with a focus on Deep Learning, has equipped her with the skills and knowledge to tackle complex challenges in the world of artificial intelligence. In January 2024, she joined the Institute of Information Technology and Management as an Assistant Professor in the Computer Science department. Although she is relatively new to the role, with six months of experience, her passion for teaching and research has already made a significant impact on her students and colleagues.Preeti is currently pursuing a Ph.D. in Computer Science and Engineering from Maharishi Dayanand University, Rohtak, which is a testament to her commitment to continuous learning and academic growth. Her research interests lie in the rapidly evolving field of Machine Learning, particularly in Deep Learning, where she aims to contribute to the development of innovative solutions and applications.

Contributions and Research Focus 📊

Preeti’s research focuses on the dynamic and transformative field of Machine Learning, with a particular emphasis on Deep Learning. This subdivision of Machine Learning has gained significant attention in recent years due to its potential to revolutionize industries ranging from healthcare to finance. Preeti’s work in this area aims to explore new methodologies, optimize existing algorithms, and apply these techniques to real-world problems. Her goal is to push the boundaries of what is possible in artificial intelligence, contributing to the advancement of technology and the betterment of society.In addition to her research, Preeti has been actively involved in various academic and professional development activities. She has attended several Faculty Development Programs (FDPs), including sessions on Artificial Intelligence for beginners, orientation on the National Education Policy (NEP), and workshops on Research Methodology and Project Work Guidance. These programs have not only enhanced her skills but have also enabled her to bring fresh perspectives to her teaching and research.

Accolades and Recognition 🏆

Preeti’s academic achievements have been recognized through various awards and certifications. As an undergraduate, she was not only the overall college topper but also received an appreciation letter and the Golden Eagle Award, underscoring her exceptional academic performance. Her success did not stop there; she went on to qualify for the UGC NET exam in Computer Science Engineering in November 2020, a national-level examination that serves as a testament to her expertise in the field. Additionally, she cleared the state-level HTET PGT Computer Science Engineering exam in 2021, further highlighting her proficiency and readiness to contribute to the educational sector.Preeti’s dedication to learning and professional development is also evident through her participation in online courses and workshops. She received a certification from NITTR for completing an online course on MATLAB and Simulink for Beginners, which demonstrates her commitment to staying updated with the latest tools and technologies in her field. Her participation in a one-week interdisciplinary workshop on Research Methodology in June 2022 is another example of her ongoing efforts to refine her research skills and methodologies.

Impact and Influence 🌟

Despite her relatively short tenure as an Assistant Professor, Preeti has already started to make a significant impact in her department and among her students. Her deep understanding of Machine Learning and her ability to convey complex concepts in an accessible manner have made her a valuable asset to the Institute of Information Technology and Management. She is known for her innovative teaching methods, which encourage students to think critically and creatively. Her influence extends beyond the classroom as she actively mentors students, guiding them in their academic and research endeavors.Preeti’s work in Machine Learning, particularly in Deep Learning, has the potential to influence future technological advancements. Her research is geared toward solving real-world problems, and as she continues to publish and share her findings, she is expected to contribute significantly to the body of knowledge in her field. Her students, who benefit from her expertise and mentorship, are likely to carry forward her teachings and make their own contributions to the world of technology.

Legacy and Future Contributions 🚀

Looking ahead, Preeti’s legacy is poised to be one of innovation, dedication, and academic excellence. As she progresses in her Ph.D. and continues her research in Deep Learning, she is likely to uncover new insights and develop cutting-edge technologies that will shape the future of Machine Learning. Her contributions to education, particularly in mentoring the next generation of computer scientists, will leave a lasting impact on her students and the academic community.Preeti’s future contributions are not limited to her research and teaching; she is also expected to play a significant role in the broader academic and professional community. As she continues to attend conferences, participate in workshops, and collaborate with other experts in her field, she will help to drive forward the conversation on the applications and implications of artificial intelligence. Her work will likely inspire future researchers and practitioners to explore new frontiers in Machine Learning and contribute to the ongoing evolution of the field.In conclusion, Preeti’s journey in the field of Computer Science is marked by academic excellence, professional achievements, and a commitment to continuous learning. Her contributions to Machine Learning, particularly Deep Learning, have the potential to make a lasting impact on the field and beyond. As she continues to grow in her career, she is sure to leave a legacy that will inspire and influence future generations of computer scientists and engineers.

 Notable Publications 
  • Title: IoT and Cloud Based Health Monitoring System Using Machine Learning
    Author: Preeti
    Journal: 2022 5th International Conference on Contemporary Computing and Informatics
    Year: 2022
  • Title: Artificial Intelligence Based Object Detection and Traffic Prediction by Autonomous Vehicles–A Review
    Authors: P. Sharma, C. Rana
    Journal: Expert Systems with Applications
    Year: 2022
  • Title: A Machine Learning Based Health Monitoring System Based On IoT
    Author: Preeti
    Journal: Emerging Trends in Engineering, Science and Management
    Year: 2022
  • Title: Cloud Computing Security Issues: A Systematic Literature Review
    Author: Preeti
    Journal: Sustainable Development: Innovations and Challenges
    Year: 2022
  • Title: Integration of Multilayer Security on Cloud Server
    Author: Preeti
    Journal: International Journal of Engineering Technology and Computer Research
    Year: 2022.

Ayushi Verma | Computer Vision | Best Researcher Award

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Mrs. Ayushi Verma | Computer Vision | Best Researcher Award

Bennett University, India

Author Profile

Early Academic Pursuits 🎓

Ayushi Verma’s academic journey began with a strong foundation in science and technology, evident from her early education at Somerville School, Greater Noida, where she excelled in her High School and Intermediate examinations. With a consistent performance, securing 82.7% in High School and 79.6% in Intermediate, Ayushi demonstrated her commitment to academics early on.Her passion for technology led her to pursue a Bachelor of Technology (B.Tech.) in Computer Science and Engineering at IEC College of Engineering and Technology, Greater Noida, affiliated with Uttar Pradesh Technical University (now Dr. A.P.J. Abdul Kalam Technical University). During her undergraduate studies from 2010 to 2014, she achieved a commendable score of 71.80%, laying a solid groundwork in core engineering principles and computer science fundamentals. This academic foundation paved the way for her future endeavors in the field of computer science.

Professional Endeavors đŸ’Œ

After completing her B.Tech., Ayushi transitioned into the industry as a Management Trainee at Hungama Digital Media in Noida, Uttar Pradesh. From November 2014 to June 2015, she was part of the Software Management Team working on the “Bhakti App” project. Her role involved data gathering, application testing, and regular reporting on the project’s progress to the management. This experience provided her with valuable insights into the practical aspects of software management and project execution in a corporate environment.However, her passion for academia drew her back, and she pursued a Master of Technology (M.Tech.) in Computer Science and Engineering at Jaypee Institute of Information Technology, Noida, from 2017 to 2019. With a CGPA of 8.1, Ayushi’s master’s program deepened her expertise in advanced computing concepts and research methodologies, preparing her for a career in research and teaching.

Contributions and Research Focus 🔍

Ayushi’s research interests are broad and deeply rooted in contemporary challenges in computer science. Her Ph.D. research, which she is currently pursuing at Bennett University, Greater Noida, is centered on the “3D Video Generation from 2-D Data using Deep Learning Based View Synthesis Technique.” Under the guidance of Dr. Tapas Badal and Dr. Abhay Bansal, this cutting-edge research aims to revolutionize how 2D data is transformed into 3D video, with significant implications for industries such as virtual reality, gaming, and visual effects. Her work in this area reflects her dedication to pushing the boundaries of what is possible with deep learning and artificial intelligence.Ayushi’s master’s thesis titled “Analyzing and Modelling Stack Exchange Software Engineering Q&A Website,” under the supervision of Dr. Neetu Sardana, explored the dynamics of online communities, particularly in software engineering. This work contributed valuable insights into the patterns of interaction and information exchange in such forums, which are critical for understanding the collaborative nature of software development.

Accolades and Recognition 🏆

Throughout her academic and professional journey, Ayushi has consistently sought to enhance her knowledge and skills. She has earned several certifications, including NVIDIA’s DLI Certification in Fundamentals of Deep Learning, which underscores her proficiency in modern AI techniques. Additionally, she has actively participated in Faculty Development Programs, such as the one on Blockchain Technology at Indraprastha Engineering College, Ghaziabad, reflecting her commitment to staying updated with emerging technologies.As a reviewer for the PiCET IEEE Conference, Gujarat Section, Parul University (May 2024), Ayushi has also contributed to the academic community by ensuring the quality and relevance of research being presented, showcasing her role as an emerging thought leader in her field.

Impact and Influence 🌐

Ayushi’s influence extends beyond her research. As an Assistant Professor in the Department of Computer Science and Engineering at Noida Institute of Engineering and Technology (NIET) from July 2019 to October 2021, she played a crucial role in shaping the minds of future engineers. She taught subjects such as Data Mining and Warehousing, Python Programming, Data Structure, and Operating Systems, mentoring undergraduate and graduate students alike. Her teaching philosophy focused on not just imparting knowledge but also fostering critical thinking and problem-solving skills among her students.

Legacy and Future Contributions 🌟

Looking ahead, Ayushi Verma’s legacy is likely to be defined by her contributions to the fields of deep learning and artificial intelligence, particularly in the area of video synthesis and data analysis. Her ongoing Ph.D. research holds the potential to make significant advancements in how we perceive and interact with digital content. Her work could lead to innovations that bridge the gap between 2D and 3D data, with applications ranging from entertainment to education and beyond.As she continues her academic journey, Ayushi’s blend of industry experience, teaching prowess, and cutting-edge research will undoubtedly position her as a key contributor to the future of technology. Her commitment to lifelong learning and her passion for pushing the boundaries of computer science will inspire future generations of engineers and researchers.In conclusion, Ayushi Verma’s journey is a testament to her dedication, expertise, and vision in the field of computer science. Her work, both as a researcher and an educator, continues to impact the academic community and industry, and her future contributions are eagerly anticipated.

Citations

A total of 154 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         154
  • h-index           18
  • i10-index        5

Notable Publications 

  • Title: Advancing Image Generation with Denoising Diffusion Probabilistic Model and ConvNeXt-V2: A novel approach for enhanced diversity and quality
    Authors: Verma, A., Badal, T., Bansal, A.
    Journal: Computer Vision and Image Understanding
    Year: 2024.
  • Title: Single to Diverse Video Generation Using Conditional Diffusion Probabilistic Model
    Authors: Verma, A., Badal, T., Gupta, S., Sinha, S., Gupta, I.
    Conference: 2024 1st International Conference on Cognitive, Green and Ubiquitous Computing, IC-CGU 2024
    Year: 2024.
  • Title: Role of Popularity and Recency for the Discovery of Experts in Stack Exchange Software Engineering Q&A Website
    Authors: Verma, A., Sardana, N.
    Journal: Lecture Notes in Networks and Systems
    Year: 2023.
  • Title: Dynamic Target Monitoring of Load Balancers in Cloud Computing
    Authors: Verma, A., Badal, T., Gupta, I.
    Conference: ACM International Conference Proceeding Series
    Year: 2022.
  • Title: Developer Recommendation for Stack Exchange Software Engineering Q&A Website based on K-Means clustering and Developer Social Network Metric
    Authors: Verma, A., Sardana, N., Lal, S.
    Journal: Procedia Computer Science
    Year: 2020.

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 đŸ› ïž

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.

đŸ’» 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.

PAMMI KUMARI | Data Science | Best Researcher Award

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Ms. Pammi Kumari | Data Science | Best Researcher Award

NIT PATNA, India

Author Profile

🎓Early Academic Pursuits

Pammi Kumari’s academic journey began with a strong foundation in mathematics and sciences, as reflected in her early education. She completed her Class 10th from the Bihar Board in 2002 with a commendable score of 67.75%. Two years later, she graduated from high school with a 60% in Class 12th, also under the Bihar Board. Her passion for mathematics led her to pursue a B.Sc. in Mathematics from Magadh University, where she graduated in 2007 with a solid 65%.Her interest in engineering, particularly in electronics and communication, prompted her to pursue a B.Tech in Electronics & Communication Engineering from I.E.T. M.J.P. Rohilkhand University, Bareilly. She excelled in her studies, achieving a DGPA of 8.02 (75%) and graduating in 2012. Driven by a desire to deepen her expertise, Pammi Kumari continued her education with an M.Tech in Electronics & Communication Engineering, specializing in Communication Engineering, at Invertis University of Technology, Bareilly, where she graduated in 2015 with an aggregate of 76.47%. Currently, she has submitted her Ph.D. thesis in Electronics & Communication Engineering from the prestigious Birla Institute of Technology, MESRA, Ranchi, boasting an impressive aggregate of 8.23%.

đŸ’ŒProfessional Endeavors

Pammi Kumari’s professional journey is as impressive as her academic achievements. She has accumulated over six years of teaching experience, beginning her career as a Teaching Assistant during her M.Tech. at Invertis University, Bareilly. Following this, she served as a lecturer at I.E.T. M.J.P. Rohilkhand University, Bareilly, in the Department of Electronics & Communication Engineering from 2012 to 2014.Pammi then transitioned to a role as an Assistant Professor at Mohammad Ali Jauhar University, Rampur, where she served from 2015 to 2017. Her teaching journey continued as a guest lecturer at KNIT Sultanpur, U.P., from 2017 to 2019, demonstrating her commitment to educating and mentoring students. Pammi Kumari also worked as an Assistant Professor at the Meerut Institute of Technology (MIET) in the Department of Computer Science and Engineering, specializing in Data Science, showcasing her versatility in the field.Currently, Pammi Kumari is a Project Assistant at NIT Patna, in the Department of Electronics & Communication Engineering, where she works under the supervision of Dr. Subodh Srivastava. This role allows her to apply her engineering skills in a research setting, further enhancing her professional experience.

🔬Contributions and Research Focus

Pammi Kumari has made significant contributions to the field of electronics and communication engineering, particularly in the areas of artificial intelligence (AI), machine learning, and digital image processing. Her research has primarily focused on medical image processing, which was the subject of her Ph.D. thesis. Her work in this area involved the detection of dead tissues in medical images using various algorithms, contributing valuable insights to the field of medical diagnostics.During her M.Tech., Pammi focused on digital image processing using Artificial Neural Networks, further establishing her expertise in this area. Her B.Tech. thesis, titled “Design of Rectangular Patch Microstrip Antenna using IE3D Software,” demonstrated her strong foundation in antenna design and wave propagation.In addition to her academic research, Pammi has also been involved in several industrial training and projects. She completed an internship at NTPC Singarulli, M.P., where she gained practical experience in the field. Her industrial experience is further highlighted by her expertise in software tools such as MATLAB, PYTHON, and C++, as well as her knowledge of Electromagnetic Simulation and Design Automation using IE3D Software and CST STUDIO SUITE.

🏅Accolades and Recognition

Pammi Kumari’s work has been recognized through various accolades, including the publication of multiple Indian patents. These patents reflect her innovative approach to problem-solving and her contributions to the field of electronics and communication engineering. Notable among these are her patents on an “IoT Health Monitoring Device,” a “Machine Learning Based Approach for Products with Embedded Sensors of E-Commerce Sites,” and an “IoT and Artificial Intelligence-Based Solar Power Generation with Maximum Power Tracking Using Modern ML.”Her contributions to academia also include co-authoring the book “Database Concepts and Design,” published by AkiNik Publications in New Delhi in 2022. This book is a testament to her deep understanding of database systems and her ability to convey complex concepts in an accessible manner.

🌍Impact and Influence

Pammi Kumari’s influence extends beyond her research and teaching. She has actively participated in national conferences, including those focused on computer communication, embedded systems, and digital information technologies. These conferences have provided her with platforms to share her research findings and collaborate with other experts in the field.Moreover, Pammi has contributed to the academic community by participating in faculty development programs (FDPs) and workshops. Her involvement in FDPs on topics such as “Artificial Intelligence and Machine Learning in Healthcare” and “Frontier Areas of Research in Mechanical Engineering” demonstrates her commitment to continuous learning and staying at the forefront of technological advancements.

🌟Legacy and Future Contributions

As Pammi Kumari continues to advance in her career, her legacy is likely to be one of innovation, dedication, and impact. Her work in AI and machine learning, particularly in the context of medical image processing, has the potential to revolutionize healthcare diagnostics. Her contributions to teaching and mentoring the next generation of engineers and researchers will undoubtedly have a lasting influence on the field.Looking forward, Pammi Kumari is poised to continue making significant contributions to the field of electronics and communication engineering. Her ongoing research, coupled with her passion for teaching, will ensure that she remains a valuable asset to both the academic and industrial communities. With her strong foundation in research, teaching, and innovation, Pammi Kumari is set to leave an indelible mark on the world of engineering and technology.

Citations

A total of 5 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         5
  • h-index           8
  • i10-index        2

Notable Publications 

  • Title: Pathologic Myopia Diagnosis and Localization from Retinal Fundus Images Using Custom CNN
    Authors: Kumari, P., Saxena, P.
    Journal: Neural Computing and Applications
    Year: 2024.
  • Title: An Efficient Multitasking Cascade Network for Arteriovenous Segmentation Using Dual-Modal Fundus Images
    Authors: Diwakar, R.K., Kumari, P., Saxena, P., Poddar, R.
    Journal: Multimedia Tools and Applications
    Year: 2024.
  • Title: Disease Localization and Its Prediction from Retinal Fundus Images Using Explicitly Designed Deep Learning Architecture
    Authors: Kumari, P., Saxena, P.
    Journal: Multimedia Tools and Applications
    Year: 2024.
  • Title: Retinal Disease Classification Using Custom CNN Model from OCT Images
    Authors: Baba, S., Kumari, P., Saxena, P.
    Journal: Procedia Computer Science
    Year: 2024.
  • Title: Cataract Detection and Visualization Based on Multi-Scale Deep Features by RINet Tuned with Cyclic Learning Rate Hyperparameter
    Authors: Kumari, P., Saxena, P.
    Journal: Biomedical Signal Processing and Control
    Year: 2024.

Kamalpreet Kaur | Machine Learning | Best Researcher Award

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Dr. Kamalpreet Kaur | Machine Learning | Best Researcher Award

Lovely Professional University- India

Author Profile

🎓📘Early Academic Pursuits 

Dr. Kamalpreet Kaur’s academic journey began at Swami Sant Dass Public School, where she completed her matriculation in 2003-2004 with a score of 66.66% and her intermediate education in 2005-2006 with an impressive 72%. Her passion for computer science led her to pursue a Bachelor of Technology (B-TECH) in Computer Science and Engineering from Guru Nanak Dev University, Amritsar, where she graduated in 2010 with a score of 70%. Following this, she completed her Master of Technology (M-TECH) in Computer Science and Engineering from the same university in 2013, achieving a CGPA of 7.61. Dr. Kaur is currently pursuing her Ph.D. at Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, demonstrating her unwavering commitment to advancing her knowledge and expertise in the field of computer science.

đŸ«đŸ’ŒProfessional Endeavors 

Dr. Kamalpreet Kaur has amassed substantial teaching experience over the years. Her professional journey began at Lovely Professional University, where she served as a lecturer in the Computer Science Department from February 2010 to August 2011. During her tenure, she was responsible for a heavy teaching load of around 24 hours per week, ensuring high standards of teaching, participating in seminars, presenting papers at conferences, organizing events, and handling various administrative duties.In August 2013, Dr. Kaur joined Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, as an Assistant Professor in the Computer Science Department. Here, she continued her teaching endeavors with a load of 20 hours per week and engaged in various roles, such as acting as an academic advisor to B-TECH and M-TECH students, co-mentoring B-TECH projects, and co-supervising M-TECH theses. She also played a significant role in organizing conferences and seminars, furthering the reputation of the institution.

🔬📚Contributions and Research Focus 

Dr. Kaur has made significant contributions to the field of computer science through her research and academic work. She has presented and published papers at various prestigious conferences, such as the 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC). Her paper titled “Transfer Learning Approach for Analysis of Epochs on Handwritten Digit Classification” is a notable example of her research in the application of machine learning and deep learning techniques.Dr. Kaur’s research interests encompass a wide range of topics, including machine learning with MATLAB and Python, Oracle, MongoDB, and Latex. She has guided numerous B-TECH projects in areas such as audio steganography, phone tally tracking of lost Android devices, online voting systems, and enhanced secure web browsers. Her expertise and dedication to research have made her a respected figure in the academic community.

🏅👏Accolades and Recognition 

Throughout her career, Dr. Kamalpreet Kaur has been recognized for her contributions to computer science and engineering. She is a member of the Computer Society of India and has attended and organized various conferences and short-term courses. Her involvement in faculty development programs and workshops, such as those on digital image processing, computer vision, and cloud computing, highlights her commitment to continuous learning and professional development.

🌟📈Impact and Influence 

Dr. Kaur’s impact extends beyond her research and teaching. She has been instrumental in establishing contacts with the wider academic community and engaging in events of interest to alumni. Her work as a mentor and supervisor has shaped the careers of many students, guiding them through complex projects and research endeavors. Her efforts have enhanced the reputation of the institutions she has been associated with and contributed to the advancement of knowledge in computer science.

🏆🔼Legacy and Future Contributions 

Dr. Kamalpreet Kaur’s legacy in the field of computer science is marked by her dedication to teaching, research, and continuous professional development. Her work has left a lasting impact on her students and colleagues, inspiring future generations of computer scientists. As she continues her Ph.D. research, Dr. Kaur is poised to make further significant contributions to her field. Her future endeavors will undoubtedly continue to push the boundaries of knowledge and innovation in computer science, cementing her legacy as a pioneer and leader in her domain.

Citations

A total of 8 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         8
  • h-index           8
  • i10-index        2

Notable Publications 

  • Title: Automatic Detection of Cloudy and Non-Cloudy SAR Images Using Convolutional Neural Networks
    Authors: Siddiq, S., Kaur, K., Dhir, R.
    Journal: ICSCCC 2023 – 3rd International Conference on Secure Cyber Computing and Communications
    Year: 2023
  • Title: PCD-Predicting the Coronavirus using Deep Learning Techniques
    Authors: Kaur, K., Dhir, R.
    Journal: ICSCCC 2023 – 3rd International Conference on Secure Cyber Computing and Communications
    Year: 2023
  • Title: Early Prediction of Stampede In Assemblage
    Authors: Kaur, K., Kumar, R., Kumar, P.
    Journal: 2023 6th International Conference on Information Systems and Computer Networks, ISCON 2023
    Year: 2023
  • Title: Transfer Learning approach for analysis of epochs on Handwritten Digit Classification
    Authors: Kaur, K., Dhir, R., Kumar, K.
    Journal: ICSCCC 2021 – International Conference on Secure Cyber Computing and Communications
    Year: 2021
  • Title: Comparison of threshold proxy signature schemes
    Authors: Verma, H.K., Kaur, K., Kumar, R.
    Journal: Proceedings of the 2008 International Conference on Security and Management, SAM 2008
    Year: 2008.

Akhil Kumar Das | Machine Learning | Innovation Award

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Mr. Akhil Kumar Das | Machine Learning | Innovation Award

Gour Mahavidyalaya- India

Author Profile

🎓Early Academic Pursuits

Dr. Akhil Kumar Das began his academic journey with a focus on Computer Science and Engineering, laying a strong foundation for his future career. He pursued a B.Tech in Computer Science from a renowned institution, followed by an M.Tech, demonstrating his commitment to advancing his knowledge and skills in the field. Dr. Das further enhanced his academic credentials by passing the GATE and UGC-NET exams, which are crucial for pursuing higher education and academic positions in India. His early academic pursuits set the stage for a distinguished career in both teaching and research.

đŸ’ŒProfessional Endeavors

Dr. Das’s professional career began at IMPS College of Engineering & Technology, where he served as an Assistant Professor in the Department of Computer Science and Engineering from 2007 to 2014. During this period, he was responsible for imparting knowledge to undergraduate students and contributing to various academic activities. His tenure at Uttar Banga Krishi Viswavidyalaya in Cooch Behar from 2014 to 2016 further solidified his role as an educator. There, he continued to shape the future of students while also engaging in research and development.In 2016, Dr. Das transitioned to Gour Mahavidyalaya, where he continues to work as an Assistant Professor in Computer Science. His role involves not only teaching but also mentoring students and contributing to the academic environment through various initiatives.

🔬Contributions and Research Focus

Dr. Das has made significant contributions to the field of Computer Science through his extensive research. His research interests are primarily centered around machine learning, artificial intelligence, and their applications in healthcare, specifically breast cancer prediction. Noteworthy publications include:

  1. “Hybrid Case Based Reasoning System by Cost Sensitive Neural Network for Classification” – This paper explores innovative approaches in hybrid case-based reasoning systems, published in Soft Computing (2017).
  2. “Machine Learning Based Intelligent System for Breast Cancer Prediction (MLISBCP)” – This recent work focuses on advanced machine learning techniques for predicting breast cancer, published in Expert Systems with Applications (2024).
  3. “BCPUML: Breast Cancer Prediction Using Machine Learning Approach—A Performance Analysis” – A comprehensive analysis of machine learning methods for breast cancer prediction, featured in SN Computer Science (2023).
  4. “Comprehensible and Transparent Rule Extraction Using Neural Network” – This publication addresses methods for improving the transparency of neural network models, published in Multimedia Tools and Applications (2024).
  5. “Development of a Problem Solving Support for an Intelligent Tutoring System” – A significant contribution to educational technology, published in International Journal of Innovations & Advancement in Computer Science (2015).

Dr. Das’s research has been pivotal in advancing the application of machine learning techniques to critical areas such as healthcare, thereby contributing to the broader scientific community.

🏆Accolades and Recognition

Dr. Das has been recognized for his contributions to both teaching and research. His work has been published in several high-impact journals, reflecting his commitment to advancing knowledge in computer science. Notably, his research on breast cancer prediction has been well-received, and he has been invited to present his findings at various international conferences.

🌍Impact and Influence

Dr. Das’s research and professional work have significantly impacted the field of computer science. His innovative approaches to machine learning and artificial intelligence have not only advanced academic understanding but also provided practical solutions for pressing issues such as breast cancer prediction. His contributions extend beyond academia, influencing both industry practices and healthcare advancements. By integrating cutting-edge technology with real-world applications, Dr. Das has demonstrated a profound ability to address complex challenges and improve quality of life.

🌟Legacy and Future Contributions

Dr. Akhil Kumar Das’s legacy is marked by his dedication to advancing the field of computer science through both teaching and research. His work has set a benchmark for integrating machine learning with healthcare solutions, paving the way for future innovations. As he continues to work at Gour Mahavidyalaya, his focus remains on furthering research in machine learning and its applications. Dr. Das’s future contributions are expected to drive new advancements in technology, potentially transforming various domains, particularly in healthcare. His commitment to education and research will continue to inspire and shape the future of computer science.Dr. Das’s career is a testament to the impact of dedicated research and teaching in the advancement of technology and science. His contributions will undoubtedly influence future generations of students and researchers, reinforcing the vital role of academic excellence in driving progress and innovation.

Citations

A total of 40 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         40
  • h-index           11
  • i10-index        3

Notable Publications 

  • Title: Hybrid Case Based Reasoning System by Cost Sensitive Neural Network for Classification
    Authors: Saroj Kr. Biswas, Manomita Chakraborty, Heisnam Rohen Singh, Debashree Devi, Biswajit Purkayastha, Akhil Kr. Das
    Journal: Soft Computing
    Volume: 21
    Year: 2017
  • Title: Machine Learning Based Intelligent System for Breast Cancer Prediction (MLISBCP)
    Authors: Akhil Kumar Das, Saroj Kr. Biswas, Ardhendu Mandal, Abhishek Bhattacharya, Suman Sanyal
    Journal: Expert Systems with Applications
    Year: 2024
  • Title: BCPUML: Breast Cancer Prediction Using Machine Learning Approach—A Performance Analysis
    Authors: Rahul Karmakar, Shibashis Chatterjee, Akhil Kumar Das, Ardhendu Mandal
    Journal: SN Computer Science
    Article ID: 377
    Year: 2023
  • Title: Comprehensible and Transparent Rule Extraction Using Neural Network
    Authors: Saroj Kr. Biswas, Abhishek Bhattacharya, Anirban Duttachoudhury, Manomita Chakraborty, Akhil Kumar Das
    Journal: Multimedia Tools and Applications
    Year: 2024
  • Title: Development of a Problem Solving Support for an Intelligent Tutoring System
    Authors: Akhil Kumar Das, Debasis Mandal
    Journal: International Journal of Innovations & Advancement in Computer Science
    Volume: 4
    Year: 2015.

Pushpa | Computer Vision | Women Researcher Award

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Dr. Pushpa - Computer Vision - Women Researcher Award 🏆 

Amrita Vishwa Vidyapeetham - India

Professional Profiles

Early Academic Pursuits

Her journey in computer vision began during her undergraduate studies, where she developed a keen interest in image processing and artificial intelligence. She pursued her academic endeavors with zeal, delving deep into the theoretical foundations and practical applications of computer vision technologies. Her academic pursuits laid a strong foundation for her future endeavors in the field.

Professional Endeavors

Upon completing her education, she ventured into the professional realm of computer vision. She secured positions in esteemed organizations where she could apply her knowledge and skills to real-world projects. Through her roles in industry and academia, Pushpa gained invaluable experience in implementing computer vision solutions across various domains, from healthcare to autonomous vehicles.

Contributions and Research Focus in Computer Vision

Her contributions to the field of computer vision are substantial and diverse. She has conducted groundbreaking research in image processing, machine learning, and artificial intelligence, with a focus on advancing visual recognition technologies. Her research endeavors have led to the development of innovative algorithms and systems for tasks such as object detection, image segmentation, and scene understanding.

Computer vision is a multidisciplinary field at the intersection of computer science, artificial intelligence, and cognitive psychology. It involves the development of algorithms and systems that enable machines to interpret and understand visual information from images or videos.

Accolades and Recognition

Her exceptional contributions have garnered recognition and accolades from her peers and the wider research community. She has been honored with prestigious awards, including the Women Researcher Award in Computer Vision, in recognition of her outstanding achievements and contributions to the field. Her work has been published in top-tier journals and conferences, further solidifying her reputation as a leading researcher in computer vision.

Applications of computer vision range from medical imaging and autonomous vehicles to robotics, surveillance systems, augmented reality, and beyond. As technology advances, computer vision continues to play a pivotal role in enhancing human-computer interaction, enabling machines to perceive and interpret the visual world with increasing accuracy and sophistication.

Impact and Influence

Her work has had a significant impact on the field of computer vision, influencing both academic research and industry applications. Her innovative algorithms and systems have been instrumental in advancing the state-of-the-art in visual recognition technologies, enabling breakthroughs in various domains such as healthcare, robotics, and surveillance. Pushpa's research has inspired and influenced a new generation of researchers and practitioners in the field, shaping the future of computer vision.

Legacy and Future Contributions

As she continues her journey in computer vision, her legacy will be defined by her ongoing contributions to the field. She remains committed to pushing the boundaries of knowledge and innovation, tackling new challenges, and solving complex problems in visual recognition. Through her research, mentorship, and leadership, Pushpa aims to leave a lasting impact on the field of computer vision, shaping its future trajectory and driving forward advancements in artificial intelligence and image processing.

Citations

  • Citations              309
  • h-index                 9
  • i10-index              9

Notable Publications

Nishi Parikh | Machine Learning for Material Science | Best Researcher Award

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Dr. Nishi Parikh - Machine Learning for Material Science - Best Researcher Award 🏆

Ola Battery Innovation Centre - India

Professional Profiles

Early Academic Pursuits

Her academic journey began with a Bachelor of Science in Chemistry from St. Xavier’s College, Ahmedabad, Gujarat, where she excelled academically and was awarded a Gold Medal. Her passion for chemistry led her to pursue a Master of Science in Organic Chemistry from Gujarat University, where she achieved a remarkable CGPA of 8.10 and received a Silver Medal. Subsequently, she embarked on her doctoral journey, earning a Ph.D. in Science from the Department of Chemistry at Pandit Deendayal Energy University, Gujarat. Her doctoral research focused on "Redefining the crystallization and characterization of halide perovskite by Machine Learning," showcasing her early engagement with machine learning techniques in material science.

Professional Endeavors

Her professional endeavors reflect her dedication to advancing the field of material science through interdisciplinary research and collaboration. She has contributed significantly to the Ola Battery Innovation Centre in Bangalore, India, leveraging her expertise in machine learning and materials science to drive innovation in battery technology. Her research endeavors have been supported by prestigious fellowships, including the PBEEE Merit Fellowship for research stay at INRS, Quebec, and the Swiss Government Excellence Research Fellowship at ZHAW, Zurich.

Contributions and Research Focus in Machine Learning for Material Science

Her research focuses on the intersection of machine learning and material science, with a particular emphasis on material property prediction, computational materials science, and data-driven materials design. Her doctoral research on halide perovskite crystallization and characterization exemplifies her pioneering work in applying machine learning techniques to address complex challenges in materials research. By harnessing the power of machine learning algorithms, Dr. Parikh aims to accelerate materials discovery processes, optimize material properties, and facilitate the design of novel materials for various applications.

Accolades and Recognition

Her contributions to material science and machine learning have been widely recognized through numerous awards and achievements. She has been awarded prestigious fellowships, including the PBEEE Merit Fellowship and the Swiss Government Excellence Research Fellowship, for her outstanding research contributions. Additionally, her research presentations at international conferences and symposiums have earned her accolades, including the Best Poster Award at the "3rd Gen PV in the developing world" conference organized by Newcastle University, UK.

Impact and Influence

Her research has made a significant impact on the field of material science and machine learning, advancing our understanding of materials behavior and enabling the design of innovative materials with tailored properties. Her interdisciplinary approach and collaborative efforts have led to advancements in battery technology, renewable energy, and sustainable materials. Through her research, Dr. Parikh continues to inspire future generations of scientists and engineers, driving innovation and progress in the field of material science.

Legacy and Future Contributions

As she continues her academic and research endeavors, her legacy is defined by her commitment to excellence, innovation, and interdisciplinary collaboration in material science and machine learning. Her future contributions hold the promise of further advancing our understanding of materials behavior, accelerating materials discovery processes, and revolutionizing various industries through the development of advanced materials with tailored properties. Dr. Parikh's pioneering research serves as a catalyst for transformative change in material science and machine learning, shaping the future of technology and sustainability.

Citations

  • Citations               328
  • h-index                  11
  • i10-index               11

Notable Publications