RAJEASHWARI. S | Deep Learning | Best Researcher Award

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Mrs. RAJEASHWARI. S | Deep Learning | Best Researcher Award

SRI S. RAMASAMY NAIDU MEMORIAL COLLEGE, India

Author Profile

Early Academic Pursuits 🎓📖

Rajeswari S. has consistently demonstrated a deep passion for the field of Computer Science, as evident in her academic journey that began with her undergraduate studies in 2004. She earned a degree in Computer Science from a Deemed University, securing an impressive 75.6% and setting the foundation for her career in technology and education. Her dedication continued through her postgraduate studies at Anna University, where she achieved a commendable 73% in Computer Science in 2007.

Her academic curiosity led her to pursue an M.Phil. in Computer Science at Vinayaka Missions University in 2009, attaining a respectable 61.75%. Her dissertation, titled “Analysis of Medical Image Segmentation Using Fuzzy Hopfield Neural Network and Competitive Hopfield Neural Network,” reflects her interest in innovative computational methodologies. Currently, she is pursuing a Ph.D. in Computer Science from Madurai Kamaraj University, furthering her expertise and research capabilities in this ever-evolving field.

Professional Endeavors 💼👩‍🏫

Rajeswari has built a robust teaching career, marked by impactful roles at esteemed institutions. She began her professional journey as an Assistant Professor at K.R. College of Arts & Science, Kovilpatti, from June 2008 to June 2010. During this period, she nurtured budding technologists with her insightful teaching and dedication.

In 2016, she joined Sri Krishnasamy Arts and Science College, Sattur, where she served until April 2021. Her tenure was characterized by her ability to blend theoretical concepts with practical applications, making complex topics accessible to her students. Her teaching not only enriched the academic environment but also inspired many to explore advanced areas of Computer Science.

Contributions and Research Focus 🧠🔬

Rajeswari’s research interests are deeply rooted in computational intelligence and its applications. Her M.Phil. dissertation delves into advanced image processing techniques, specifically medical image segmentation. By employing Fuzzy Hopfield Neural Network and Competitive Hopfield Neural Network, she contributed to the development of more accurate and efficient methods for medical diagnostics, showcasing her commitment to impactful research.

Her ongoing Ph.D. studies aim to expand this work, likely exploring cutting-edge technologies such as Artificial Intelligence (AI), Machine Learning (ML), and their intersections with image processing. Her research holds the potential to contribute to the fields of healthcare, diagnostics, and data analysis, addressing critical challenges with innovative solutions.

Accolades and Recognition 🏆🌟

Throughout her academic and professional career, Rajeswari has earned recognition for her dedication and contributions. While specific accolades are not listed, her ability to consistently secure teaching positions and handle complex research topics speaks volumes about her reputation in the academic community. She is undoubtedly appreciated for her commitment to quality education and her efforts to advance knowledge in her field.

Impact and Influence 🌍✨

Rajeswari’s influence extends beyond the classroom. As an educator, she has empowered countless students with the skills and knowledge necessary to thrive in the tech industry. Her research work, particularly in medical image segmentation, has the potential to make significant contributions to healthcare by improving diagnostic accuracy and efficiency.

Her dual role as a teacher and researcher positions her as a bridge between theoretical knowledge and practical applications, fostering a deeper understanding of computer science’s capabilities and limitations.

Legacy and Future Contributions 🌟🔮

Looking forward, Rajeswari is poised to leave a lasting legacy in both academia and research. Her ongoing Ph.D. studies and prior achievements suggest a future filled with innovative contributions to technology and education. As she continues to explore the realms of AI and neural networks, her work will likely influence emerging technologies and inspire new generations of researchers.

In the classroom, her commitment to nurturing talent ensures that her influence will echo through the achievements of her students. Meanwhile, her research endeavors promise to address pressing challenges, particularly in healthcare and data processing, cementing her position as a thought leader in her field.

Notable Publications 

  • Title: An Enhanced Learning Model Based on an Improved Random Forest Classifier and an Integrated Attribute Selector for Healthcare Datasets
    Authors: Rajeswari, S., Arunesh, K.
    Journal: Communications in Computer and Information Science
    Year: 2025.
  • Title: Enhancing pneumonia diagnosis with ensemble-modified classifier and transfer learning in deep-CNN based classification of chest radiographs
    Authors: Rajeswari, S., Arunesh, K.
    Journal: Biomedical Signal Processing and Control
    Year: 2024.
  • Title: Chronic disease prediction with deep convolution based modified extreme-random forest classifier
    Authors: Rajeswari, S., Arunesh, K.
    Journal: Biomedical Signal Processing and Control
    Year: 2024.
  • Title: Chronic disease diagnosis and classification using data mining approaches – a comprehensive review
    Authors: Rajeswari, S., Arunesh, K.
    Conference Proceedings: AIP Conference Proceedings
    Year: 2023.
  • Title: Highly Correlated Linear Discriminant Analysis for Dimensionality Reduction and Classification in Healthcare Datasets
    Authors: Rajeswari, S., Arunesh, K.
    Conference Proceedings: Lecture Notes in Networks and Systems
    Year: 2023.

Rajib Kumar Jha | Machine Learning | Research Excellence Award

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Dr. Rajib Kumar Jha | Machine Learning | Research Excellence Award

IIT Patna, India

Author Profile

Early Academic Pursuits 📚

Rajib Kumar Jha’s academic journey is marked by a strong foundation in science and engineering, beginning with his secondary education at M. L. Academy, Bihar, where he excelled in core subjects like Science, Mathematics, Hindi, and English, scoring an impressive 76% in 1992. His passion for engineering continued through his higher secondary studies at C.M. Sc. College, Bihar, where he obtained 69% in 1993. Driven to excel in the field, he pursued his undergraduate degree in Electronics and Communication Engineering (ECE) at UIET Kanpur under CSJM University, graduating in 2001 with a commendable CPI of 8.4/10. His commitment to advancing in his field took him to IIT Kharagpur, where he earned both his M.Tech (2003) with a CPI of 7.6/10 and his Ph.D. (2010) with a specialization in Digital Image Processing. This period marked a significant phase of growth, as he deepened his understanding of Digital Image & Signal Processing, Medical Imaging, Machine Learning, and Pattern Recognition.

Professional Endeavors 💼

Dr. Rajib Kumar Jha’s professional career reflects a steady progression in academia, combining teaching with intensive research. Starting in 2006, he joined IIITDM Jabalpur as an Assistant Professor, dedicating over six years to teaching and research until December 2012. He then moved to IIT Ropar, where he continued his teaching journey until May 2013. His skills and expertise led him to IIT Patna, initially as an Assistant Professor from 2013 to 2018, after which he was promoted to Associate Professor. At IIT Patna, Dr. Jha has been actively involved in research, development, and mentorship, making substantial contributions to the field and to the growth of his students.

Contributions and Research Focus 🔬

Dr. Jha’s research interests focus on the field of Digital Image & Signal Processing, with an emphasis on Medical Imaging, Machine Learning, and Pattern Recognition. His work in Digital Image Processing, initiated during his Ph.D. at IIT Kharagpur, has extended to pioneering research in Medical Imaging. By integrating Machine Learning and advanced pattern recognition techniques, he has made advancements in data interpretation and diagnostics that could significantly improve medical imaging accuracy. His research output has contributed to enhancing signal processing methods, which are essential for both academic and practical applications. Through this specialized focus, he has enriched both his students and the academic community, providing insights into cutting-edge developments in image and signal processing.

Accolades and Recognition 🏆

Throughout his career, Dr. Jha has earned recognition for his academic rigor and dedication. His academic records and early success led to opportunities in prestigious institutions, starting with his Ph.D. and M.Tech from IIT Kharagpur and culminating in his role as an Associate Professor at IIT Patna. His contributions to research and education have been recognized at various levels, with honors reflecting his commitment to excellence in the engineering discipline. His significant contributions to medical imaging and digital signal processing have attracted appreciation from his peers and set a benchmark for upcoming researchers.

Impact and Influence 🌍

Dr. Rajib Kumar Jha’s influence extends beyond his research; as a teacher and mentor, he has guided numerous students through their academic and research journeys. His tenure at institutions like IIITDM Jabalpur, IIT Ropar, and IIT Patna has allowed him to impact a diverse group of students, encouraging them to think innovatively and apply their knowledge to real-world challenges. His focus on digital signal processing has also contributed to advancements in medical technology, benefiting practitioners and patients alike. Dr. Jha’s collaborations and guidance have helped shape the careers of future engineers and researchers, many of whom now contribute to the field independently.

Legacy and Future Contributions 🌟

As he continues his journey at IIT Patna, Dr. Jha is poised to leave a lasting legacy, both as an academic and a researcher. His current research efforts hold potential for groundbreaking advancements in medical imaging and pattern recognition, particularly in healthcare applications within developing regions. Dr. Jha’s dedication to teaching and research ensures that his influence will extend well beyond his immediate academic environment, as his work is likely to inspire future innovations in signal processing, machine learning, and digital image processing. Embracing new technologies and methodologies, Dr. Jha is committed to enhancing the impact of engineering research and shaping a generation of engineers who are ready to tackle tomorrow’s challenges.

Citations

A total of 1187 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         1187
  • h-index           103
  • i10-index        18

Notable Publications 

  • Title: Ensemble learning using Gompertz function for leukemia classification
    Authors: Abhishek, A., Deb, S.D., Jha, R.K., Sinha, R., Jha, K.
    Journal: Biomedical Signal Processing and Control
    Year: 2025.
  • Title: Segmentation of pectoral muscle from mammograms using U-Net having densely connected convolutional layers
    Authors: Deb, S.D., Jha, R.K.
    Journal: Multimedia Tools and Applications
    Year: 2024.
  • Title: Severity estimation of Coffee leaf disease using U-Net and pixel counting mechanism
    Authors: Deb, S.D., Kashyap, R., Abhishek, A., Jha, R.K.
    Journal: ACM International Conference Proceeding Series
    Year: 2024.
  • Title: Breast cancer diagnosis using modified Xception and stacked generalization ensemble classifier
    Authors: Deb, S.D., Rahman, A., Jha, R.K.
    Journal: Research on Biomedical Engineering
    Year: 2023.
  • Title: Breast UltraSound Image classification using fuzzy-rank-based ensemble network
    Authors: Deb, S.D., Jha, R.K.
    Journal: Biomedical Signal Processing and Control
    Year: 2023.

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 🏫

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 💡👨‍🏫

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.

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%.

💼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

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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.

🏫💼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.

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.

💼Professional 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.

Komal Singla | Fractional differential equations | Best Researcher Award

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Dr. Komal Singla - Fractional differential equations - Best Researcher Award 🏆

Chandigarh University - India

Professional Profiles

Early Academic Pursuits

She embarked on her academic journey with a strong foundation in mathematics, which laid the groundwork for her pioneering research in fractional differential equations. She obtained her Bachelor's degree in Mathematics from MGSG College, Punjab, followed by a Master's degree from Punjabi University. Subsequently, she pursued her Ph.D. in Mathematics at Thapar University, Punjab, under the guidance of Prof. Rajesh Kumar Gupta. Her doctoral thesis, titled "Symmetry Analysis of Nonlinear Fractional Partial Differential Equations," marked the beginning of her illustrious career in applied mathematics, focusing on developing analytical methods for investigating complex mathematical models.

Professional Endeavors

Her professional journey is marked by her dedication to both research and teaching. After completing her Ph.D., she served as a Research Associate at Thapar Institute of Engineering & Technology, where she continued her research endeavors in fractional calculus and nonlinear systems. Currently, as an Assistant Professor at Chandigarh University, she plays a pivotal role in mentoring students and developing curriculum for various courses in mathematics. Her commitment to education is reflected in her role as a designated Master subject coordinator, where she actively contributes to curriculum development and mentorship initiatives.

Contributions and Research Focus in Fractional differential equations

Her research interests center around symmetry analysis, fractional differential equations, and exact solutions for nonlinear systems. Her groundbreaking work has led to the development of novel analytical methods for investigating fractional mathematical models, with significant applications across diverse fields such as material science, biology, pollution control, and finance. Notably, her research has provided insights into the dynamical behaviors of diseases, including HIV, Covid-19, and tumor cells, highlighting the direct impact of mathematical modeling in addressing global health challenges.

Accolades and Recognition

Her research achievements have garnered international recognition and accolades at a young age. Her prolific publication record includes 13 papers, with 12 published in prestigious international journals. She was honored among the Top 100 young Mathematicians at the 8th Heidelberg Laureate Forum, where she interacted with esteemed award winners, including Fields Medalists. Additionally, she has been invited to speak at renowned conferences worldwide, including Cornell University, Waseda University, and La Trobe University, among others. Her contributions have also been acknowledged through prestigious grants from the National Board for Higher Mathematics and her appointment as an established research reviewer at reputed journals.

Impact and Influence

Her research has made a significant impact on the field of applied mathematics, particularly in advancing our understanding of fractional differential equations and their applications. Her collaborations with international researchers and her participation in conferences have facilitated knowledge exchange and interdisciplinary collaborations. Furthermore, her role as a mentor and educator has inspired numerous students to pursue careers in mathematics and research, thereby perpetuating her influence in the academic community.

Legacy and Future Contributions

As she continues her academic and research journey, her legacy lies in her innovative contributions to fractional calculus and applied mathematics. Through her ongoing research endeavors, mentorship initiatives, and collaborative partnerships, she seeks to further expand the frontiers of knowledge in her field and address pressing societal challenges. Dr. Singla's future contributions hold the promise of revolutionizing mathematical modeling techniques and fostering interdisciplinary collaborations for the betterment of society.

Citations

  • Citations               294
  • h-index                  6
  • i10-index               6

Notable Publications

Irfan Ali | Operations Research and Statistics | Best Researcher Award

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Assist Prof Dr. Irfan Ali - Aligarh Muslim University - India 🏆

Professional Profiles:

Early Academic Pursuits :

His academic journey commenced at Aligarh Muslim University, where he pursued his Bachelor's degree in Statistics, culminating with a Ph.D. in Statistics in 2013. His research during these academic pursuits explored Mathematical Programming Approaches in Reliability and applied Branch and Bound Techniques for solving Integer Programming Problems.

Professional Endeavors :

His professional journey is characterized by his dedicated tenure at Aligarh Muslim University. His roles as Assistant Professor in the Department of Statistics and Operations Research span various grades, showcasing his continuous growth and contribution to academia. Additionally, he served as Visiting Faculty in the Department of Plant Protection at the Faculty of Agriculture, further diversifying his academic engagements.

Contributions and Research Focus in Operations Research and Statistics:

His research expertise lies in Applied Statistics, Optimization, Modeling, and Simulation. His prolific work delves into Stochastic Processes, Mathematical Sciences, and Optimization Techniques, as evidenced by his thesis, publications, and invited talks in various national and international conferences.

Accolades and Recognition :

Throughout his career, he has been recognized for his significant contributions. Notably, he has received invitations to deliver talks at esteemed institutions and international conferences. His involvement in Faculty Development Programs and international workshops underscores his standing in the academic community.

Impact and Influence :

His influence resonates through his teaching experience spanning over eight years. His adeptness in Statistics, Optimization, and Data Science has not only shaped numerous undergraduate and postgraduate students but also contributed to the academic landscape in these fields.

Legacy and Future Contributions :

As an Assistant Professor, He continues to contribute to the realms of Applied Statistics and Optimization theory. His focus on research, teaching, and participation in diverse academic forums indicates a trajectory towards further impactful contributions and the potential to inspire future statisticians and researchers.

Citations:

A total of 2448 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

                   Citations            1373           1075
                    h-index               22                20
                   i10-index             44                36

Notable Publications :

Ajaz Ahmad Bhat | Statistics | Young Scientist Award

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Assist Prof. Dr. Ajaz Ahmad Bhat - Islamic University of Science and Technology, Awantipora - Statics🏆

Assist Prof. Dr. Ajaz Ahmad Bhat : Statics

Professional Profiles:

Early Academic Pursuits :

He embarked on his academic journey in Statistics, starting from his Bachelor's degree in Mathematics, Statistics, and Electronics at Sri Pratap College, University of Kashmir. His foundational education provided a strong background in mathematical and statistical principles, laying the groundwork for his future pursuits.

Professional Endeavors :

Having completed his Master of Science in Statistics from the University of Kashmir, Bhat progressed to undertake a Ph.D. in Statistics at the same institution. His doctoral research, supervised by Dr. Sheikh Parvaiz Ahmad, focused on "Formation of New Probability Models Using Mixture and Power Transformation Techniques" from 2017 to 2021. This demonstrates his commitment to advancing statistical methodologies and contributing to the field through innovative research.

Contributions and Research Focus in Statistics :

His research interests primarily revolve around the modeling of Generalized Probability Distributions and Statistical Inference. His dissertation work involved the characterization and estimation of Generalized Probability Distributions, showcasing his expertise in this specialized area. Additionally, his Ph.D. research delved into the development of new probability models, highlighting his innovative approach to statistical modeling using mixture and power transformation techniques.

Accolades and Recognition :

While specific accolades and recognition might not be explicitly mentioned, his academic pursuits, including a Ph.D. and a Master's degree, denote a commendable level of dedication and commitment to statistical research and academics.

Impact and Influence :

As an Academic Arrangement Lecturer at the Department of Statistics, Govt. Degree College (Boys) Anantnag (Jammu and Kashmir), Ajaz Ahmad Bhat imparted his knowledge and expertise to students. His teaching experience allowed him to contribute to the education and development of aspiring statisticians, fostering a new generation of individuals interested in the field.

Legacy and Future Contributions :

His legacy lies in his dedication to statistical research and his passion for teaching. His contributions to the development of new probability models and statistical methodologies are noteworthy. In the future, he aims to continue exploring novel ideas in statistics, bridging theoretical concepts with practical applications. Bhat aspires to leave a lasting impact through his research and inspire others in the statistical community to push boundaries and innovate.

Notable Publications :

Citations:

A total of  82 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations    41              41
  • h-index        3               3
  • i10-index     1               1

Vipin Jain | Econometrics and Finance | Best Researcher Award

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Vipin Jain | Best Researcher Award Winner 2023🏆

Prof. Vipin Jain : Econometrics and Finance

Congratulations, Prof. Vipin Jain, on winning the esteemed Best Researcher 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 currently serves in several key roles within Teerthanker Mahaveer University. He holds the position of Director/Principal at Teerthanker Mahaveer Institute of Management & Technology (TMIMT) and the Department of Hospital Administration, acting as the Chief Proctor for the University since April 2021. Formerly, he served as the Officiating Dean of the College of Law and Legal Studies until August 2022. Additionally, He is the Chairperson of the Center for Jain Studies and Director of both the Entrepreneurship Development Cell and the Centre for Online Learning. With over 23 years of rich experience in teaching, research, consultancy, and administration, he has played a pivotal role in guiding research scholars, overseeing dissertations, and contributing extensively to scholarly publications. His multidimensional expertise covers various domains, including Financial Accounting, Management Accounting, Cost Accounting, Managerial Economics, and Total Quality Management. He continues to be actively involved in shaping the academic and administrative landscape of the university, leaving a profound impact on its growth and academic excellence.

Professional Profiles:

Early Academic Pursuits :

He embarked on his academic journey with a Bachelor of Commerce degree, specializing in Business Administration, Accountancy & Business Statistics, and Economics Administration & Financial Management from the University of Rajasthan. His academic odyssey continued with a Master of Commerce focusing on Business Administration, followed by a Doctor of Philosophy (Ph.D.) from the Department of Business Administration, University of Rajasthan, Jaipur, where he delved into Human Resource Development & Accounting in selected companies. Additionally, he pursued a second Master of Commerce in Accountancy & Business Statistics, a Masters of Business Administration with a dual focus on Finance & Marketing from NIMS University and Rajasthan Technical University, Kota. He obtained qualifications in Law—a Bachelor of Law in Corporate Tax and a Masters in Law, emphasizing Corporate Law from Uttarakhand Technical University, Dehradun.

Professional Endeavors :

His professional voyage spans multiple roles across educational institutions and administrative spheres. He has served as the Director/Principal of Teerthanker Mahaveer Institute of Management & Technology (TMIMT) and Department of Hospital Administration, Dean of College of Law and Legal Studies, Chairperson of the Center for Jain Studies, Director of the Entrepreneurship Development Cell, and Director of the Centre for Online Learning at Teerthanker Mahaveer University. With extensive experience in teaching, research, consultancy, and administration, he has held prominent positions, including Head of the Department of Economics, Banking, and Finance at the College of Business, Hospitality, and Tourism Studies, Fiji National University, Fiji Islands.

Contributions and Research Focus in Econometrics and Finance :

Throughout his career, he has significantly contributed to academia and research. He has guided numerous dissertations, research projects, and market survey reports, nurturing and mentoring a substantial number of students. His scholarly contributions are vast, encompassing over 180 research papers, patents, books, and chapters in various publications. As a seasoned academic, he's contributed as an editorial board member for journals and as a referee for various publications. His expertise covers areas like Financial Accounting, Financial Management, Cost Accounting, and Managerial Economics.

Accolades and Recognition :

His illustrious career has been adorned with prestigious awards and accolades, including the Rashtriya Vidya Saraswati Puraskar, Mother Teresa Sadbhavna Award, International Education Excellence Award, Shiksha Gaurav Puraskar, Rajiv Gandhi Education Excellence Awards, and many more. His invaluable contributions have also earned him recognition such as the D.Lit (Honoris Causa) and the Visionary Leadership Award.

Impact and Influence :

As an academician and leader, he has left a lasting impact on the institutions he has been associated with, elevating Teerthanker Mahaveer Institute of Management & Technology (TMIMT) to new heights, earning numerous accolades and national recognitions, thereby fostering an environment of academic excellence and growth. He has also actively contributed to various accreditations and inspection committees, showcasing his commitment to educational quality and standards.

Legacy and Future Contributions :

His legacy is marked by his prolific contributions to academia, research, and administration, setting a benchmark for educational institutions and inspiring future generations of scholars. His commitment to academic excellence, coupled with a diverse academic and professional background, serves as an inspiration for aspiring educators and administrators. In the future, his leadership and guidance are poised to continue shaping educational institutions and nurturing aspiring minds.

Notable Publications :

Citations:

Since 2018 a total of  3979 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations    2244    1735
  • h-index       22         22
  • i10-index    40         38