Kshitish Kumar Mohanta | Decision Sciences | Best Researcher Award

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Mr. Kshitish Kumar Mohanta | Decision Sciences | Best Researcher Award

Indira Gandhi National Tribal University, Amarkantpak, India

Author Profile

Early Academic Pursuits 📚

Kshitish Kumar Mohanta’s academic journey began with a strong foundation in science during his schooling. He completed his 10th-grade education at Govt. High School, Kendumundi, Odisha, in 2011, where he excelled with an impressive score of 82.83%. His exceptional performance continued in 12th grade at M.P.C. Junior College, Baripada, where he focused on science and secured a commendable 70.83% in 2013. This solid background in mathematics and science set the stage for his future academic achievements.Kshitish pursued his undergraduate degree in Mathematics at Udala College, under North Orissa University, Baripada. Graduating in 2016 with 69.72%, he demonstrated a clear aptitude for the subject. His love for numbers and mathematical theories continued to grow, driving him to further his studies with an M.Sc. in Mathematics from Sambalpur University, Jyoti Vihar. In 2018, he completed his master’s with a notable 69.70%, a testament to his dedication and academic prowess.To deepen his understanding and research in the field of mathematics, Kshitish enrolled in an M.Phil. program at G.M. University, Sambalpur, where he completed his degree in 2020 with 63.30%. His academic journey culminated with a Ph.D. from Indira Gandhi National Tribal University (IGNTU), Amarkantak, Madhya Pradesh, where he submitted his thesis in May 2024, marking a significant milestone in his academic career. His Ph.D. thesis, titled “Design and Application of Data Envelopment Analysis under the Extended Fuzzy Environment”, reflects his specialized focus on advanced mathematical applications.

Professional Endeavors and Contributions 💼

Kshitish’s professional experience includes a teaching role as a Guest Lecturer in the Department of Mathematics at Janata College, Boinda, Angul, Odisha, from 2018 to 2020. His ability to impart complex mathematical concepts to students showcased his passion for education and teaching. As a teacher, he focused on nurturing young minds in various mathematical disciplines, laying a foundation for their future academic growth.In addition to his teaching experience, Kshitish is highly skilled in several mathematical software tools and programming languages, including MATLAB, Wolfram Mathematica, SciLab, Sage Math, and C & C++. His expertise in these tools, along with Microsoft Office and LaTeX, enabled him to approach mathematical research and problem-solving in innovative ways.

Research Focus and Areas of Expertise 🔬

Kshitish Kumar Mohanta’s research revolves around Operation Research, Data Envelopment Analysis (DEA), Fuzzy Optimization, Neutrosophic Theory, Decision Support Systems, Efficiency and Productivity Analysis, Performance Measurement, and Inventory Management. These fields align closely with his Ph.D. thesis on DEA under fuzzy environments, illustrating his commitment to exploring new dimensions in decision-making and optimization under uncertain conditions.His research has also touched on various mathematical subjects, including Linear Algebra, Differential Equations, Partial Differential Equations, Real Analysis, Discrete Mathematics, Number Theory, Graph Theory, and Cryptography. These areas of expertise showcase Kshitish’s deep understanding of both theoretical and applied mathematics, with a particular emphasis on solving real-world problems through mathematical frameworks.

Accolades and Recognition 🏆

Throughout his academic and professional career, Kshitish has garnered several prestigious awards and recognitions. Notably, he received the I.M.A. Scholarship for the period of 2016 to 2018, which helped him pursue his passion for mathematics at a higher level. His scholarly excellence was further highlighted when he secured the top rank in the IGNTU RET 2020 examination in the field of mathematics.One of his proudest accomplishments was being awarded Best Paper Presentation at the International Conference on Multidisciplinary Research (ICMR-2022). This recognition solidified his position as a leading researcher in his field and demonstrated the practical and impactful nature of his work in applied mathematics.

Impact and Influence 🌍

Kshitish’s research has had a significant impact on the field of mathematics, particularly in Fuzzy Optimization and Data Envelopment Analysis. His work on performance measurement and decision-making under uncertainty has practical implications for industries and organizations that rely on optimization and productivity analysis. By applying his research in real-world scenarios, Kshitish has contributed to advancements in both academic and industrial sectors, influencing a new generation of researchers and practitioners in these fields.His expertise in Neutrosophic Theory and Decision Support Systems has also added a novel dimension to the study of efficiency and productivity. These contributions are not only theoretical but also hold potential for real-world applications in various domains, including economics, logistics, and management science.

Legacy and Future Contributions 🌟

Looking forward, Kshitish Kumar Mohanta’s future contributions are likely to leave a lasting legacy in the field of mathematics and operations research. As he continues to explore the realms of Fuzzy Optimization and DEA, his work promises to break new ground in understanding and solving complex mathematical problems. His ability to blend theoretical knowledge with practical applications positions him as a key player in both academic circles and industries that rely on advanced mathematical models for decision-making.With his diverse skill set and a strong foundation in research, Kshitish is poised to make significant strides in the field, offering new solutions to age-old mathematical challenges. His legacy will not only be defined by his academic contributions but also by the students and researchers he inspires along the way. As a teacher, researcher, and mathematician, Kshitish Kumar Mohanta continues to shape the future of mathematics with passion and dedication, leaving an indelible mark on the field.

Citations

A total of 64 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         64
  • h-index           12
  • i10-index         4

Notable Publications 

  • Title: A Malmquist Fuzzy Data Envelopment Analysis Model for Performance Evaluation of Rural Healthcare Systems
    Authors: Chaubey, V., Sharanappa, D.S., Mohanta, K.K., Verma, R.
    Journal: Healthcare Analytics
    Year: 2024.
  • Title: The Spherical Fuzzy Data Envelopment Analysis (SF-DEA): A Novel Approach for Efficiency Analysis
    Authors: Mohanta, K.K., Sharanappa, D.S.
    Journal: AIP Conference Proceedings
    Year: 2024.
  • Title: A Novel Method for Solving Neutrosophic Data Envelopment Analysis Models Based on Single-Valued Trapezoidal Neutrosophic Numbers
    Authors: Mohanta, K.K., Sharanappa, D.S.
    Journal: Soft Computing
    Year: 2023.
  • Title: A Novel Modified Khatter’s Approach for Solving Neutrosophic Data Envelopment Analysis
    Authors: Mohanta, K.K., Sharanappa, D.S., Aggarwal, A.
    Journal: Croatian Operational Research Review
    Year: 2023.
  • Title: Enhancing the Security of Public Key Cryptographic Model Based on Integrated ElGamal-Elliptic Curve Diffie Hellman (EG-ECDH) Key Exchange Technique
    Authors: Mohanta, K.K., Sharanappa, D.S., Mishra, V.N.
    Book: Advanced Mathematical Techniques in Computational and Intelligent Systems
    Year: 2023.

Aqil K H | Artificial intelligence | Best Researcher Award

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

Indian institute of technology Madras-India

Author Profile

Early Academic Pursuits 📚

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.

Saloni Tandon | Converging technologies in Healthcare | Best Researcher Award

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Ms. Saloni Tandon - Converging technologies in Healthcare - Best Researcher Award 🏆 

Celebal Technologies Pvt. Ltd. - India

Professional Profiles

Early Academic Pursuits

She embarked on her academic journey with a fervent passion for exploring the intersections of various disciplines. Graduating with a remarkable score of 95% from the Centre for Converging Technologies at the University of Rajasthan, she obtained a B.Tech + M.Tech Dual Degree in Biotechnology. During her academic tenure, Saloni delved into diverse fields such as Nanotechnology, Neurosciences, Information Technology, and Entrepreneurship, expanding her knowledge horizons beyond conventional boundaries.

Professional Endeavors

Upon entering the professional realm, She demonstrated her prowess as a dynamic researcher and leader. As a Research Associate at Celebal Technologies Pvt. Ltd., she spearheaded the establishment of the BioTech Research department, focusing on healthcare research and applications. Leveraging her interdisciplinary expertise, Saloni led the development of AI-based solutions aimed at revolutionizing the healthcare industry. Noteworthy achievements include the creation of an end-to-end cloud-based solution for precision oncology and the design of a microsatellite identification and instability prediction tool. Additionally, she provided mentorship and direction to her team in crafting an oncology-based drug sales advisory chatbot for the pharmaceutical sector. Saloni's contributions have resulted in the submission of two research papers and two review papers, poised to make significant contributions to the scientific community.

Contributions and Research Focus in Converging technologies in Healthcare

Her professional journey is marked by a steadfast commitment to innovation and technology integration in healthcare. Her research endeavors span a spectrum of interdisciplinary solutions aimed at advancing medical diagnostics, treatment modalities, and patient care. At Celebal Technologies, she has pioneered the development of AI-driven healthcare solutions, harnessing the power of data analytics and machine learning to optimize patient outcomes. Moreover, her research at the Defence Institute of Advanced Technology focused on Polymeric Immunosensors for Tumor detection and Silk-based scaffolds for tissue engineering applications, showcasing her versatility in addressing diverse healthcare challenges. Saloni's expertise extends to the realm of biotechnology, as evidenced by her work on bioethanol production from agro-waste during her tenure at Biotech Park. Additionally, her involvement in the LAMP project at the Centre for Converging Technologies underscores her proficiency in technology integration for enhancing operational efficiency in healthcare and educational settings.

Accolades and Recognition

Her contributions to the field of healthcare innovation have garnered widespread acclaim, earning her accolades and recognition. Her pioneering work in developing AI-based solutions and her dedication to advancing medical research have been acknowledged within the scientific community and industry circles alike. Notably, her role in establishing the BioTech Research department at Celebal Technologies and her contributions to precision oncology have earned her esteemed recognition and commendations.

Impact and Influence

Her endeavors have left an indelible mark on the landscape of healthcare innovation, inspiring her peers and future generations of researchers. Her multidisciplinary approach to problem-solving and her relentless pursuit of excellence serve as a testament to the transformative potential of converging technologies in healthcare. By bridging the gap between disparate disciplines, She has paved the way for groundbreaking advancements in medical science and technology, shaping the future of healthcare delivery and patient care.

Legacy and Future Contributions

As she continues on her professional journey, her legacy of innovation and excellence will endure as a guiding beacon for aspiring researchers and healthcare professionals. With a steadfast commitment to pushing the boundaries of technological innovation in healthcare, she remains poised to make enduring contributions to the field. Through her visionary leadership, interdisciplinary collaboration, and unwavering dedication to scientific inquiry, She is primed to catalyze transformative change and drive positive impact in healthcare for years to come.

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 :