Shashank Parmar | Computer Vision | Best Researcher Award

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Mr. Shashank Parmar - Computer Vision - Best Researcher Award 🏆 

VISA Inc. - India

Professional Profiles

Early Academic Pursuits

His academic journey commenced at Delhi Technological University (DTU), formerly known as Delhi College of Engineering, where he pursued his Bachelor's degree in Software Engineering with a minor in Data Analytics. He exhibited remarkable academic prowess, graduating with a stellar Cumulative Grade Point Average (CGPA) of 9.20. Prior to this, he excelled in his secondary education, securing an exceptional score of 92.8% in his CBSE Class XII examinations from Guru Harkrishan Public School. His exceptional academic performance continued in his CBSE Class X examinations, where he attained a CGPA of 10 from DLF Public School.

Professional Endeavors

He embarked on his professional journey as a Software Engineer at VISA Inc., based in Bangalore, India, starting from June 2023. In this role, he leverages his expertise in C# and JAVA to develop efficient desktop applications. Notably, Shashank actively contributed to several innovative projects during VISA Hackathons, including VoicePay, Pay Via Pic, and ViSE (Video Search Engine), which have been filed for patents by VISA.

Before joining VISA Inc. as a full-time employee, he interned with the same organization, where he played a pivotal role in developing KWID-NG, a tool used for monitoring the status of application development and testing. Additionally, Shashank has gained valuable experience as a Machine Learning Intern at MAYTOWILL, where he implemented a recommendation system for a clothing-based e-commerce client.

Furthermore, he has contributed significantly to the academic community, serving as a Web Development Teaching Assistant at CODING NINJAS and a Machine Learning Intern at Delhi Technological University.

Contributions and Research Focus in Computer Vision

His research interests primarily revolve around Computer Vision, Image Processing, Artificial Intelligence, and Machine Learning. His academic and professional endeavors reflect his dedication to leveraging cutting-edge technologies to tackle real-world challenges. His research focuses on developing intelligent systems capable of understanding, analyzing, and interpreting visual data, thereby contributing to advancements in various domains such as healthcare, finance, and retail.

Computer Vision is an interdisciplinary field that enables machines to interpret and understand visual information from the real world. It encompasses various techniques and algorithms from image processing, artificial intelligence, and machine learning to analyze and extract meaningful insights from digital images or video streams. With the advancements in deep learning and neural networks, computer vision systems can perform tasks such as object detection, image classification, facial recognition, and scene understanding with remarkable accuracy. This technology finds applications in diverse domains, including robotics, healthcare, automotive, surveillance, augmented reality, and more, revolutionizing the way we interact with machines and perceive the world around us.

Accolades and Recognition

His exemplary performance in various competitive coding competitions underscores his proficiency in problem-solving and algorithmic skills. With impressive ratings on platforms like Codeforces and Leetcode, as well as notable achievements in Google Kickstart and REPLY Code Challenge, he has consistently demonstrated his prowess in competitive programming.

Impact and Influence

His contributions in the fields of Computer Vision, Image Processing, and Artificial Intelligence have the potential to revolutionize industries and drive innovation. Through his research, he aims to develop intelligent systems capable of addressing complex challenges and enhancing efficiency across diverse sectors.

Legacy and Future Contributions

His journey as a researcher and technologist is marked by his relentless pursuit of excellence and innovation. His groundbreaking research and contributions to the field of Computer Vision and Artificial Intelligence are poised to leave a lasting impact on society. As he continues to push the boundaries of technology, he is set to make significant contributions that will shape the future of AI-driven solutions and pave the way for transformative advancements in various domains.

Citations

  • Citations              2
  • h-index                1

Notable Publications

Jayashree | Deep learning | Best Researcher Award

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Mrs. Jayashree - Deep learning - Best Researcher Award 🏆 

Nitte meenakshi Institute of technology - India

Professional Profiles

Early Academic Pursuits

She embarked on her academic journey with a strong passion for science, particularly in the realm of data science, big data, and data mining. Her fascination with handling large volumes of high-dimensional data and employing various data mining techniques led her to pursue a Ph.D. in this field at VTU Belgaum. Her research endeavors are focused on processing and analyzing complex datasets, exploring innovative methodologies to extract meaningful insights.

Professional Endeavors

With a total experience of 9.5 years, she has made significant contributions to academia and industry. She has served as an Assistant Professor at prestigious institutions such as Nitte Meenakshi Institute of Technology, Vijaya Vittal Institute of Technology, and BIT Institute of Technology, among others. Her teaching tenure has been marked by a commitment to excellence, where she imparted knowledge and mentored students in the fields of computer science and engineering.

Deep learning is a subset of artificial intelligence (AI) and machine learning that involves training artificial neural networks to learn from vast amounts of data. Using sophisticated algorithms inspired by the structure and function of the human brain, deep learning models can automatically discover and extract intricate patterns and representations from complex datasets. Neural networks, the building blocks of deep learning, consist of interconnected layers of artificial neurons that process and transform input data to produce meaningful outputs. As a key component of data science, deep learning has revolutionized various fields such as computer vision, natural language processing, speech recognition, and autonomous systems. With its ability to handle unstructured data and perform feature learning automatically, deep learning continues to drive innovation and advancements in AI research and applications.

Contributions and Research Focus in Deep learning

Her research focuses on the intersection of deep learning, artificial intelligence, neural networks, machine learning, and data science. Her work delves into developing advanced algorithms and models to tackle complex problems in various domains such as computer vision, natural language processing, and autonomous systems. By leveraging cutting-edge technologies and methodologies, she strives to push the boundaries of knowledge and contribute to the advancement of these fields.

As a key component of data science, deep learning has revolutionized various fields such as computer vision, natural language processing, speech recognition, and autonomous systems. With its ability to handle unstructured data and perform feature learning automatically, deep learning continues to drive innovation and advancements in AI research and applications. The applications of deep learning span across various domains, revolutionizing fields such as computer vision, natural language processing, speech recognition, and autonomous systems.

Accolades and Recognition

Throughout her career, she has garnered recognition for her outstanding contributions. Her dedication to research and education has earned her accolades such as the Best Researcher Award. Her publications in reputed journals and her active participation in conferences and workshops have further solidified her reputation as a leading researcher in her field.

Impact and Influence

Her work has had a profound impact on the academic and scientific community. Her research findings and insights have contributed to advancements in deep learning, artificial intelligence, and data science, driving innovation and progress in these fields. Through her mentorship and guidance, she has inspired numerous students to pursue careers in research and academia, leaving a lasting legacy in the field.

Legacy and Future Contributions

As she continues her journey in research and education, her legacy is poised to grow even further. With her passion, expertise, and dedication, she will continue to make significant contributions to deep learning, artificial intelligence, neural networks, machine learning, and data science. Her future endeavors hold the promise of further breakthroughs and advancements, shaping the landscape of these fields for years to come.

Notable Publications

Pokkuluri Kiran Sree | Deep Learning | Technology Visionary Award

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Prof Dr. Pokkuluri Kiran Sree - Deep Learning - Technology Visionary Award 🏆 

Shri Vishnu Engineering College Autonomous - India

Professional Profiles

Early Academic Pursuits

He embarked on his academic journey with a fervent passion for computer science and engineering. He obtained his Bachelor of Technology degree from Jawaharlal Nehru Technological University (JNTU) in 2002, followed by a Master's degree from Anna University in 2006. His thirst for knowledge and academic excellence led him to pursue a Ph.D. in Computer Science and Engineering from Jawaharlal Nehru Technological University, Hyderabad, which he successfully completed in 2015. His doctoral research, titled "A Novel Multiple Attractor Cellular Automata–CLONAL Classifier for PCR and PR Prediction," delved into the interdisciplinary realms of Artificial Intelligence and Bioinformatics, showcasing his diverse interests and multidisciplinary approach to research.

Professional Endeavors

His professional journey is marked by numerous notable accomplishments and significant contributions to academia and research. He has served as the Head and Professor in the Department of Computer Science and Engineering at Shri Vishnu Engineering College for Women (A), demonstrating exemplary leadership and academic excellence. Prior to his current position, he served as the Principal In-Charge of the prestigious N.B.K.R. Institute of Science & Technology, Vidyanagar, further solidifying his administrative and managerial skills.

Contributions and Research Focus in Deep Learning

At the heart of his professional endeavors lies his unwavering commitment to advancing the frontiers of knowledge in Deep Learning, Artificial Intelligence, Neural Networks, Machine Learning, and Data Science. His prolific research output, comprising over 85 technical papers and four patents on Deep Learning and IoT, underscores his expertise and groundbreaking contributions to these fields. He has authored six textbooks on AI, further cementing his stature as a leading authority in the domain. His research focus spans a wide array of interdisciplinary topics, ranging from deep learning applications in healthcare to the development of innovative algorithms for predictive analytics and pattern recognition.

Accolades and Recognition

His exemplary contributions to academia and research have earned him widespread acclaim and recognition both nationally and internationally. He has been the recipient of prestigious awards such as the Rashtrya Ratan Award, Bharat Excellence Award, and Eminent Educator Award, among others, acknowledging his outstanding achievements and significant impact on the field. His inclusion in Marquis Who's Who in the World, as well as being listed among the Top 100 Professionals by the IBC International Bibliographic Center, reflects his stellar reputation and scholarly eminence on the global stage.

Impact and Influence

His influence extends far beyond the confines of academia, as evidenced by his extensive collaborations with industry partners and advisory roles in various academic institutions. His collaborative projects with institutions such as the CC-IOT lab of New Horizon College of Engineering, Bangalore, underscore his commitment to bridging the gap between academia and industry, and leveraging cutting-edge technologies for societal benefit. Through his research, teaching, and mentorship, he continues to inspire and empower the next generation of researchers and engineers, leaving a lasting impact on the field of Deep Learning and Artificial Intelligence.

Legacy and Future Contributions

As his illustrious career continues to evolve, his legacy as a trailblazer in Deep Learning and Artificial Intelligence is firmly established. His relentless pursuit of excellence, coupled with his visionary leadership and innovative research, sets the stage for future breakthroughs and advancements in these transformative fields. With a keen eye towards the future, he remains dedicated to pushing the boundaries of knowledge, fostering interdisciplinary collaborations, and shaping the future of technology through his pioneering research and contributions.

Citations

  • Citations               463
  • h-index                 11
  • i10-index              12

Notable Publications

Geetha M | Deep Learning | Technology Visionary Award

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Dr. Geetha M - Deep Learning - Technology Visionary Award 🏆 

S.A. Engineering college - India

Professional Profiles

Early Academic Pursuits

She embarked on her academic journey with a keen interest in Computer Science and Engineering. She completed her Bachelor's degree in Computer Science & Engineering from Periyar Maniammai College of Technology for Women, where she laid the foundation for her career in technology. Subsequently, she pursued a Master's degree in Computer Science & Engineering from Sathyabama Institute of Science and Technology, Chennai, where she graduated with distinction. Dr. Geetha's academic pursuit culminated in a Ph.D. in Computer Science & Engineering from Anna University, Chennai, where she delved deep into cutting-edge research in her field.

Professional Endeavors

With over 24 years of experience in teaching and research, she has made significant contributions to the field of Computer Science and Engineering. She has served in various prestigious institutions, including S.A. Engineering College, Chennai Institute of Technology, Saveetha School of Engineering, and SRMIST, Vada Palani, Chennai. Throughout her career, she has held diverse roles, from Assistant Professor to Professor and Head of Departments, demonstrating her versatility and leadership skills.

Contributions and Research Focus in Deep Learning

Her research interests lie at the intersection of Artificial Intelligence, Machine Learning, and Data Science. Her pioneering work in Deep Learning and Neural Networks has garnered recognition in the academic community. She has published numerous research papers in reputed journals and conferences, contributing to the advancement of knowledge in her field. Her research focuses on developing innovative algorithms and techniques to tackle complex problems in areas such as computer vision, natural language processing, and pattern recognition.

Accolades and Recognition

Her contributions to academia have been recognized through various accolades and memberships. She is a lifetime member of FIE and holds memberships in prestigious organizations such as IEEE, CSTA, CSI, and IAENG. Her research profiles on platforms like Web of Science, Scopus, ORCHID, and Google Scholar showcase the impact of her scholarly work.

Impact and Influence

As a dedicated educator and researcher, She has inspired countless students and colleagues with her passion for technology and innovation. Her mentorship has nurtured the next generation of technologists, instilling in them a thirst for knowledge and a commitment to excellence. Through her research contributions and academic leadership, she has left an indelible mark on the field of Computer Science and Engineering.

Legacy and Future Contributions

Her legacy in academia is marked by her relentless pursuit of knowledge and her unwavering dedication to her students and research. As she continues her journey, she remains committed to pushing the boundaries of Deep Learning, Neural Networks, Artificial Intelligence, Machine Learning, and Data Science. Her future contributions hold the promise of further advancements in technology and innovation, shaping the future of her field for generations to come.

Citations

  • Citations               61
  • h-index                  5
  • i10-index               2

Notable Publications

Srinivas Konda | Deep Learning | Best Researcher Award

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Dr. Srinivas Konda - Deep Learning - Best Researcher Award 🏆 

CMR Technical Campus - India

Professional Profiles

Early Academic Pursuits

He embarked on his academic journey with a strong foundation in computer science and engineering. He obtained his Bachelor's degree from the prestigious National Institute of Engineering, Mysore, Karnataka, followed by a Master's degree in Software Engineering from KITS, Warangal. His pursuit of academic excellence culminated in a Ph.D. in Computer Science and Engineering from JNTUH, Hyderabad, where he delved into the realm of deep learning and artificial intelligence.

Professional Endeavors

He has amassed a wealth of experience in academia and industry throughout his career. He has served in various capacities, including Professor and HOD (CSE) at Jyothishmathi Institute of Technology and Science, Karimnagar, and as Associate Professor and HOD (CSE) at VITS School of Engineering & Technology, Karimnagar. Currently, he holds the esteemed position of Professor and Head of the Department of CSE (Data Science) at CMR Technical Campus, Hyderabad, where he imparts knowledge in cutting-edge technologies like deep learning, artificial intelligence, and data science.

Contributions and Research Focus in Deep Learning

His research interests lie at the intersection of computer science and machine learning. He has made significant contributions to the development of novel algorithms and techniques in deep learning, particularly in areas such as neural networks, data science, and artificial intelligence. His Ph.D. thesis on "A Rough Set Based Fuzzy Classifier by Resolving Class Imbalance Problem for Prediction of Heart Diseases" underscores his commitment to leveraging advanced computational methods for addressing real-world challenges in healthcare.

Accolades and Recognition

Throughout his career, he has been recognized for his outstanding contributions to academia and research. His pioneering work in the field of deep learning and artificial intelligence has earned him accolades from peers and institutions alike. As a seasoned educator and researcher, he continues to inspire students and colleagues with his innovative approach to teaching and research.

Impact and Influence

His work has had a profound impact on the field of computer science and machine learning. His research in deep learning and artificial intelligence has contributed to advancements in various domains, including healthcare, finance, and technology. By developing cutting-edge algorithms and methodologies, he has paved the way for new applications and solutions that harness the power of data-driven insights.

Legacy and Future Contributions

As an esteemed academician and researcher, His legacy extends beyond his individual achievements. His dedication to advancing the frontiers of deep learning and artificial intelligence continues to inspire the next generation of scientists and engineers. Through his mentorship, teaching, and research endeavors, he aims to foster a culture of innovation and excellence in the field of computer science, leaving a lasting impact on society.

Citations

  • Citations               1428
  • h-index                  12
  • i10-index               15

Notable Publications

Ashima kukkar | Deep Learning | Best Researcher Award

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Assist Prof Dr. Ashima kukkar - Deep Learning - Best Researcher Award 🏆 

Chitkara university - India

Professional Profiles

Early Academic Pursuits

His academic journey began with a strong passion for Computer Science Engineering. She completed her Bachelor of Technology (B.Tech) in Information and Technology Engineering from Rayat & Bahra College of Engineering & Bio-Technology for Women, Mohali, India. Building upon this foundation, she pursued her Master of Technology (M.Tech) and later completed her Ph.D. in Computer Science Engineering from Jaypee University of Information Technology, Waknaghat, India. Her academic achievements were marked by exceptional performance, reflected in her impressive CGPA and academic accolades.

Professional Endeavors

His professional journey is characterized by a blend of academic pursuits and industry experience. She underwent training in core Java, PHP, and ASP.NET, gaining valuable insights into various programming languages and technologies. Additionally, she actively engaged in research projects, notably contributing to the design and development of 'Anaphora Resolution in Hindi.' This project highlighted her expertise in natural language processing and computational linguistics, demonstrating her ability to apply theoretical knowledge to real-world challenges.

Contributions and Research Focus in Deep Learning

His research interests lie at the intersection of artificial intelligence and natural language processing, with a focus on deep learning techniques. Her doctoral research delved into exploring innovative approaches to anaphora resolution in Hindi, leveraging a hybrid methodology combining rule-based and learning-based techniques. Her contributions in this domain have advanced our understanding of language processing technologies, paving the way for enhanced communication between humans and machines.

Accolades and Recognition

Throughout her academic and professional journey, he has received recognition for her exemplary contributions to the field of computer science and engineering. Her research endeavors have been acknowledged by peers and academic institutions, earning her accolades and awards. Her dedication to advancing knowledge and pushing the boundaries of research in artificial intelligence and natural language processing has garnered respect and admiration from the academic community.

Impact and Influence

His work has made a significant impact on the field of natural language processing and computational linguistics. Her research contributions have not only expanded the theoretical understanding of language processing but also have practical implications for developing intelligent systems capable of understanding and interpreting human language. Her insights and findings have the potential to revolutionize various applications, including machine translation, sentiment analysis, and information retrieval.

Legacy and Future Contributions

As he continues her academic and research journey, her legacy is defined by her commitment to advancing knowledge and fostering innovation in artificial intelligence and natural language processing. Her future contributions are poised to further push the boundaries of deep learning techniques, with a focus on enhancing the capabilities of intelligent systems to understand and interact with human language. Through her research, mentorship, and academic endeavors, she aims to leave a lasting impact on the field, inspiring future generations of researchers to explore the fascinating intersection of deep learning, artificial intelligence, and natural language processing.

Citations

  • Citations               325
  • h-index                  10
  • i10-index               10

Notable Publications