Aqil K H | Artificial intelligence | Best Researcher Award

Posted on by ScienceFather

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

Indian institute of technology Madras-India

Author Profile

Early Academic Pursuits 📚

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

Posted on by ScienceFather

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 💼

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.

PAMMI KUMARI | Data Science | Best Researcher Award

Posted on by ScienceFather

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%.

💼Professional 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

Posted on by ScienceFather

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.

🏫💼Professional 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.

Bhavna Bajpai | Database and Datamining | Women Researcher Award

Posted on by ScienceFather

Dr. Bhavna Bajpai - Database and Datamining - Women Researcher Award 🏆

Dr. C. V. Raman University, Khandwa - India

Professional Profiles

Early Academic Pursuits

She began her academic journey with a Bachelor of Science in Computer Science from Poonam Chand Gupta Vocational College, Khandwa, affiliated with Devi Ahilya Govt. University, Indore (M.P.). She further pursued a Post Graduate Diploma in Computer Application (PGDCA) from the same institution, enhancing her skills in computer science applications. Her passion for learning led her to obtain a Master of Science in Information Technology from Guru Ghasidas University, Bilaspur (C.G.), followed by an M.Phil in Computer Science from Global Open University, Nagaland, and eventually a Ph.D. in Computer Science and Applications from AISECT University, Bhopal (M.P.).

Professional Endeavors

With over 18 years of experience in Information Technology and Computer Science Application departments, she has held various academic positions, starting as an Assistant Professor at IPS Academy, Indore, and later at Shri Dadaji Institute of Technology & Science, Khandwa, where she served for more than a decade. Currently, she holds the position of Associate Professor at Dr. C.V. Raman University, Khandwa, where she also serves as the Dean and IQAC Coordinator. Throughout her career, she has actively engaged in continued learning through conferences and professional research, aiming to stay updated with the latest advancements in her field.

Contributions and Research Focus in Database and Datamining

Her research interests primarily revolve around database management systems and data mining. Her expertise spans areas such as data analysis, machine learning, and pattern recognition. Through her scholarly contributions, Dr. Bajpai has explored innovative approaches to data management and mining, leveraging her insights to address real-world challenges. Her research has focused on enhancing the efficiency and effectiveness of database systems, optimizing data analysis techniques, and developing intelligent algorithms for pattern recognition and machine learning applications. Database and data mining are two interconnected fields crucial in the era of big data. A database is a structured collection of data organized for efficient retrieval, storage, and management.

Accolades and Recognition 

Her dedication and contributions to the field of database and data mining have earned her recognition and accolades. She has been acknowledged for her scholarly achievements through various platforms, including professional awards, citations, and academic affiliations. Her commitment to academic excellence and research innovation has been celebrated within the academic community, reflecting her significant impact on the field.

Impact and Influence

Her work has made a tangible impact on both academia and industry. Her research findings have contributed to advancements in database management systems, data analysis techniques, and machine learning algorithms. By bridging the gap between theory and practice, Dr. Bajpai has facilitated the adoption of data-driven strategies in diverse domains, empowering organizations to harness the power of data for informed decision-making and strategic planning.

Legacy and Future Contributions

As a dedicated educator and researcher, she continues to inspire and mentor future generations of scholars. Her legacy is defined by her passion for learning, her commitment to excellence, and her unwavering pursuit of knowledge. Moving forward, she aims to further her research endeavors, exploring new frontiers in database management systems and data mining. With her expertise and leadership, she remains poised to make significant contributions to the advancement of her field and the empowerment of aspiring researchers in the years to come.

Notable Publications

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

Posted on by ScienceFather

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

 

Ramana TV | Machine Learning | Best Researcher Award

Posted on by ScienceFather

Dr. Ramana TV - Machine Learning - Best Researcher Award🏆

Jain University Bangalore - India

Professional Profiles

Early Academic Pursuits

His academic journey commenced with a deep-rooted interest in computer science and engineering, leading him to pursue a Ph.D. in the same field from J.N.T. University, Hyderabad. Throughout his academic tenure, spanning from 2003 to 2011, Dr. Ramana displayed a keen dedication to expanding his knowledge and expertise in various facets of computer science, including machine learning (ML), artificial intelligence (AI), and data science.

Professional Endeavors

His professional journey has been characterized by a diverse range of experiences in academia and industry. With over 11 years of teaching experience, he has served as a Professor at prestigious institutions such as Jain University, Bangalore, and Galgotias University, Greater Noida. Additionally, he has contributed to the industry with a tenure of 4 years, holding positions such as Principal Quality Assurance Engineer at CA Technologies Private Limited and Senior Systems Engineer at Siemens Information Systems Limited.

Contributions and Research Focus in Machine Learning

His research focus revolves around cutting-edge technologies such as machine learning, artificial intelligence, and data science. His expertise lies in the development of predictive analytics models, neural networks, and advanced algorithms for solving complex problems in various domains. Through his research endeavors, Dr. Ramana aims to harness the power of ML and AI to address real-world challenges and drive innovation in areas such as computer vision, natural language processing, and intelligent decision-making systems.

Machine Learning (ML) is a subfield of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computers to learn and improve from experience without being explicitly programmed. Applications of ML span various domains, including computer vision, natural language processing, speech recognition, healthcare, finance, and many more.

Accolades and Recognition

His contributions to the field of computer science and engineering have earned him recognition and accolades throughout his career. He has secured the State First place in Debate competition conducted by the Government of Andhra Pradesh and the District First place in GK test conducted by the Government of India. Additionally, his participation in various professional development programs, workshops, and conferences highlights his commitment to continuous learning and professional growth.

As the field continues to evolve, researchers and practitioners are constantly developing new algorithms and techniques to push the boundaries of what is possible with ML, driving innovation and shaping the future of AI and data science. With the advent of big data and advancements in computational power, ML has become an essential tool for extracting valuable insights from large datasets and making data-driven decisions.

Impact and Influence

His research and professional endeavors have had a significant impact on the field of computer science and engineering, particularly in the domains of ML, AI, and data science. His contributions to teaching, research, and industry have inspired countless students and professionals to explore the vast potential of these emerging technologies. Through his mentorship, Dr. Ramana has nurtured the next generation of computer scientists and engineers, imparting valuable knowledge and skills that will shape the future of the industry.

Legacy and Future Contributions

As he continues to make strides in the field of computer science and engineering, his legacy lies in his dedication to excellence, innovation, and mentorship. Through his research, teaching, and industry experience, he aims to advance the frontiers of ML, AI, and data science, driving transformative change and creating new opportunities for technological advancement. His future contributions hold the promise of furthering our understanding of these cutting-edge technologies and their applications in solving some of the world's most pressing challenges.

Notable Publications

 

Indian Scientist Awards | Award Winners 2023

Posted on by ScienceFather

Dipak Kumar Ghosh |  Research Achievement Award Winner 2023🏆

Dr. Dipak Kumar Ghosh : Pattern Recognition

Assistant Professor at Galgotias University, Greater Noida, Uttar Pradesh.

Congratulations, Dr. Dipak Kumar Ghosh, on winning the esteemed Research Achievement Award from Research! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here's to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!

He is currently engaged as an Assistant Professor (Gr 2) at Galgotias University, Greater Noida, Uttar Pradesh. In this capacity, he plays a pivotal role in shaping the academic landscape by imparting knowledge and expertise in the field of Electronics & Communication Engineering. With over a decade of rich experience in academia and industry, He brings a wealth of practical insights to his role, nurturing young minds and inspiring them to excel in their educational pursuits. His current tenure at Galgotias University signifies his commitment to academic excellence, research, and fostering an environment conducive to innovative learning methodologies. Leveraging his expertise in Signal and Image Processing, Gesture and Pattern Recognition, and Computer Vision, He actively contributes to curriculum development, spearheads research initiatives, and engages in mentorship programs. His dedication to academia and his proactive approach towards staying abreast of the latest advancements in the field make him a valuable asset in nurturing the next generation of engineers and researchers.

Professional Profiles:

Early Academic Pursuits :

He embarked on his academic journey with a strong foundation in Electronics & Communication Engineering, culminating in a Ph.D. from the esteemed National Institute of Technology Rourkela. His early educational pursuits highlight a consistent dedication to learning and a notable aptitude for signal and image processing.

Professional Endeavors :

His professional journey spans a diverse spectrum, encompassing roles in academia and industry. His experience includes impactful positions as an Assistant Professor at Galgotias University, a Temporary Faculty at NIT Raipur, and significant tenures at Adamas University. His industry stint as a System Engineer at SAI Services & Technology Pvt. Ltd honed his practical skills and perspective.

Contributions and Research Focus :

His prolific research contributions primarily focus on Signal and Image Processing, Gesture and Pattern Recognition, and Computer Vision. His notable publications in esteemed journals and conferences reflect his dedication to exploring innovative solutions in these domains. Dr. Ghosh's commitment to academia is evident through his administrative roles and academic initiatives at Adamas University and Galgotias University.

Accolades and Recognition :

His academic excellence is underscored by achievements such as GATE qualification, securing the 2nd rank in M.Tech at NITTTR Kolkata, and receiving a Ph.D. Scholarship from MHRD, Government of India. His pivotal role in organizing IEEE AMPHE 2020 and successful completion of numerous professional certifications further demonstrate his multifaceted expertise.

Impact and Influence :

As Head of the Department and Vice Chancellor Nominee, He significantly contributed to curriculum development, laboratory advancements, and the integration of industry-aligned learning pathways. His efforts in introducing project-based learning, academic quality circles, and outcome-based education reflect his forward-thinking approach towards education.

Legacy and Future Contributions :

His legacy is marked by his relentless pursuit of knowledge, research excellence, and an indelible impact on academia. His vision for the future involves continued research in cutting-edge technologies, mentoring aspiring scholars, and contributing significantly to the advancement of Signal Processing, Computer Vision, and allied fields.

Notable Publications :

Citations:

A total of  637 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations  377  260
  • h-index      11      10
  • i10-index   13      10