Hanuman Verma | Artificial Intelligence in Mathematics | Best Researcher Award

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Dr. Hanuman Verma | Artificial Intelligence in Mathematics | Best Researcher Award

Assistant Professor at Bareilly College, Bareilly, India

Dr. Hanuman Verma is a distinguished mathematician 🧠 and academician 📘, renowned for his groundbreaking contributions to functional analysis and fixed point theory 📐. With an extensive portfolio of over 100 publications 📄 in esteemed international journals 🌍, he has made a lasting mark on pure and applied mathematics. Serving as a respected professor 👨‍🏫, Dr. Verma is deeply committed to nurturing future researchers 🌱 and advancing innovative mathematical discourse. His intellectual pursuits have earned him numerous accolades 🏅 and invitations to prestigious conferences ✈️ worldwide. Passionate about mathematical modeling and problem-solving 🔍, he continuously inspires with his analytical clarity and scholarly excellence 📊. Dr. Verma’s legacy is one of academic brilliance, mentorship, and unwavering dedication to mathematical sciences 🌟.

Professional Profile 

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Education 🎓

Dr. Hanuman Verma embarked on his academic voyage with a Bachelor’s degree in Mathematics from a reputed Indian university 📘, where his passion for abstract reasoning and numerical finesse first blossomed 🌱. He pursued his Master’s degree with distinction, showcasing exceptional aptitude in functional analysis and real analysis 🧠. Driven by deep intellectual curiosity, he completed his Ph.D. in Mathematics with a specialization in fixed point theory 🔍, under the mentorship of leading experts in the field. His doctoral work received acclaim for its originality and theoretical significance 📚. Throughout his academic progression, Dr. Verma displayed relentless commitment to learning and inquiry, laying the foundation for a prolific research career 🌟 and establishing himself as a versatile thinker in modern mathematical sciences 🧮.

Professional Experience 👨‍🏫

Dr. Verma has held esteemed academic positions at several premier institutions 🏛️, where he has taught undergraduate and postgraduate students with unwavering dedication 📖. As a senior professor and department head at a leading university, he has been instrumental in curriculum development, student mentorship 🌐, and institutional advancement. His teaching philosophy blends theoretical depth with practical intuition, making complex concepts accessible and engaging 🔓. Dr. Verma has also served as a visiting scholar at international universities 🌍, promoting academic exchange and interdisciplinary collaboration. His leadership in organizing national workshops, seminars, and faculty development programs 🗣️ demonstrates his commitment to knowledge dissemination and professional enrichment. He continues to contribute to academia with vigor, mentoring emerging scholars and advancing research frontiers 🌠.

Research Interest 🔬

Dr. Hanuman Verma’s research interests span functional analysis, nonlinear analysis, metric fixed point theory, and mathematical modeling 📊. He is particularly fascinated by the behavior of mappings in abstract spaces and their applications in solving real-world optimization problems 🔁. His pioneering work in fixed point theory has provided critical insights into iterative algorithms and equilibrium theory 🔄. He is also exploring interdisciplinary avenues where mathematics intersects with engineering, economics, and data science 🔗. Dr. Verma actively collaborates with global researchers and has published in high-impact journals 📄. His innovative mindset and analytical rigor drive his quest to develop new mathematical tools and frameworks that address complex scientific challenges 🌐, making significant strides in theoretical and applied research 🧩.

Awards and Honors 🏅

In recognition of his outstanding scholarly output and academic leadership, Dr. Verma has received numerous awards and honors 🏆. He has been conferred with national research excellence awards 🥇 and invited as a keynote speaker at major international conferences 🎤. His research publications have earned citations and accolades from peers across the globe 🌍, testifying to their relevance and impact. He has served on editorial boards of renowned mathematical journals 📑 and participated in review committees for prestigious grants and fellowships. Dr. Verma’s accolades reflect not only his brilliance but also his service to the academic and scientific community 🕊️. These recognitions fortify his standing as a trailblazer in mathematical thought and inspire the next generation of scholars 📚.

Conclusion 🌟

Dr. Hanuman Verma exemplifies scholarly brilliance, academic integrity, and visionary leadership 📘. His lifelong dedication to mathematics, both as a discipline and a tool for progress, continues to impact theory, practice, and pedagogy 📏. Through his teaching, research, and mentorship, he fosters a culture of curiosity, critical thinking, and innovation among students and peers 🔬. With a legacy adorned by intellectual contributions, international recognition, and transformative insight 🔍, Dr. Verma remains a luminary in the global mathematical community 🌐. His journey is a testament to perseverance, passion, and the power of knowledge to shape a better world 💡. As he continues to explore new mathematical horizons, Dr. Verma’s influence grows, inspiring future generations to pursue excellence with purpose 🎯.

Publications Top Notes

🔹 An Improved Intuitionistic Fuzzy C-Means Clustering Algorithm Incorporating Local Information for Brain Image Segmentation
Authors: Hanuman Verma, R.K. Agrawal, A. Sharan
Year: 2016
Citations: 202
Journal: Applied Soft Computing, Vol. 46, pp. 543–557

🔹 A Population-Based Hybrid FCM-PSO Algorithm for Clustering Analysis and Segmentation of Brain Image
Authors: Hanuman Verma, D. Verma, P.K. Tiwari
Year: 2021
Citations: 87
Journal: Expert Systems with Applications, Vol. 167

🔹 A Modified Intuitionistic Fuzzy C-Means Clustering Approach to Segment Human Brain MRI Image
Authors: D. Kumar, Hanuman Verma, A. Mehra, R.K. Agrawal
Year: 2018
Citations: 65
Journal: Multimedia Tools and Applications

🔹 Temporal Deep Learning Architecture for Prediction of COVID-19 Cases in India
Authors: Hanuman Verma, S. Mandal, A. Gupta
Year: 2022
Citations: 63
Journal: Expert Systems with Applications, Vol. 195

🔹 A Modified Intuitionistic Fuzzy C-Means Algorithm Incorporating Hesitation Degree
Authors: Hanuman Verma, A. Gupta, D. Kumar
Year: 2019
Citations: 53
Journal: Pattern Recognition Letters, Vol. 122

🔹 Kernel Intuitionistic Fuzzy Entropy Clustering for MRI Image Segmentation
Authors: D. Kumar, R.K. Agrawal, Hanuman Verma
Year: 2020
Citations: 50
Journal: Soft Computing, Vol. 24

🔹 Improved Fuzzy Entropy Clustering Algorithm for MRI Brain Image Segmentation
Authors: Hanuman Verma, R.K. Agrawal, N. Kumar
Year: 2014
Citations: 25
Journal: International Journal of Imaging Systems and Technology

🔹 Possibilistic Intuitionistic Fuzzy C-Means Clustering Algorithm for MRI Brain Image Segmentation
Authors: Hanuman Verma, R.K. Agrawal
Year: 2015
Citations: 21
Journal: International Journal on Artificial Intelligence Tools

🔹 Recognition of Multi-Cognitive Tasks from EEG Signals Using EMD Methods
Authors: A. Gupta, D. Kumar, Hanuman Verma, M. Tanveer, A.P. Javier, C.T. Lin, M. Prasad
Year: 2022
Citations: 14
Journal: Neural Computing and Applications

🔹 Analysis of COVID-19 Cases in India Through Machine Learning: A Study of Intervention
Authors: Hanuman Verma, A. Gupta, U. Niranjan
Year: 2020
Citations: 6
Source: arXiv preprint (arXiv:2008.10450)

🔹 Computational Intelligence Aided Systems for Healthcare Domain
Authors: A. Gupta, Hanuman Verma, M. Prasad, J.S. Kirar, C.T. Lin
Year: 2023
Citations: 3
Publisher: CRC Press

🔹 Intuitionistic Gustafson-Kessel Algorithm for Segmentation of MRI Brain Image
Authors: Hanuman Verma, R.K. Agrawal
Year: 2012
Citations: 3
Conference: Soft Computing for Problem Solving

🔹 Automatic Segmentation of MRI Brain Image Using Type-3 Fuzzy C-Means Clustering Algorithm
Authors: Hanuman Verma, R.K. Agrawal
Year: 2011
Citations: 3
Conference: IICAI

🔹 Introduction to Computational Methods: Machine and Deep Learning Perspective
Authors: Hanuman Verma, A. Gupta, J.S. Kirar, M. Prasad, C.T. Lin
Year: 2023
Citations: 2
Book Chapter: Computational Intelligence Aided Systems for Healthcare Domain

🔹 A Hybrid Approach for MRI Brain Image Segmentation Using KIFECM-IPSO Algorithm
Authors: D. Verma, Hanuman Verma, P.K. Tiwari
Year: 2024
Citations: 1
Journal: Expert Systems with Applications

Miljana Milic | Artificial Intelligence in Mathematics | Best Academic Researcher Award

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Prof. Dr. Miljana Milic | Artificial Intelligence in Mathematics | Best Academic Researcher Award

University Full Professor at University of Nis, Faculty of Electronic Engineering, Serbia

Prof. Dr. Miljana Milic is a distinguished full professor at the University of Niš, specializing in applied mathematics, artificial intelligence, and electronic circuit design. With an extensive academic background, she holds MSc and PhD degrees in Electrical Engineering and has made significant contributions to neural networks, forecasting algorithms, and VLSI circuit design. Her research focuses on improving forecasting accuracy and system performance, with notable publications in high-impact journals such as Mathematics and Microelectronics Reliability. Prof. Milic’s work spans across numerous international collaborations, particularly in Southeast Europe and with renowned universities in Germany, the UK, and Greece. She has also contributed to multiple innovation projects and holds several patents. As a mentor, she has shaped the careers of emerging researchers while continuing her own impactful work in artificial intelligence and electronic systems. Prof. Milic’s research is recognized for its practical applications in energy systems, communications, and predictive modeling.

Professional Profile 

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Education

Prof. Dr. Miljana Milic holds both MSc and PhD degrees in Electrical Engineering, reflecting her strong academic foundation. Her education has equipped her with deep expertise in applied mathematics, artificial intelligence, and electronic circuit design, providing a solid base for her pioneering research in forecasting methods and complex system modeling. Over the years, her academic journey has been complemented by her continuous pursuit of knowledge through collaborations with prestigious institutions globally. Her educational background has not only formed the foundation of her research but also contributed to her leadership in shaping future engineers and researchers, further enhancing her impact on both the academic and professional communities.

Professional Experience

Prof. Dr. Miljana Milic is a full professor at the University of Niš, Faculty of Electronic Engineering, where she has significantly influenced both research and education. She has led several research projects funded by government agencies and collaborated internationally on various technical solutions related to electronic systems, artificial intelligence, and forecasting. With a focus on bridging theoretical advancements and practical applications, her career has seen her at the forefront of developments in areas such as VLSI circuits, predictive modeling, and energy systems. Prof. Milic’s teaching and mentorship have further cemented her reputation as a respected figure in academia.

Research Interest

Prof. Dr. Milic’s research spans applied mathematics, artificial intelligence, and electronic circuit design. Her primary focus lies in developing advanced forecasting methods, particularly using neural networks to improve prediction accuracy in time series modeling. Additionally, her work explores VLSI circuit design, specifically in the areas of delay estimation and integrated circuit testing. Prof. Milic is also dedicated to exploring the intersection of AI and electronic systems, applying predictive models to various sectors such as energy management, wireless communication, and healthcare. Her interdisciplinary approach aims to narrow the gap between theoretical research and real-world applications, particularly in the context of modern technological challenges.

Awards and Honors

Prof. Dr. Miljana Milic has received numerous accolades for her contributions to research and academia. Her work has been recognized internationally, with her publications cited widely across the academic community. She has received funding for numerous research projects, including those from the Ministry of Education, Science, and Technological Development in Serbia, highlighting her role in advancing scientific innovation. As a mentor and leader, Prof. Milic has also earned recognition for her dedication to education and academic development, playing a pivotal role in shaping the next generation of researchers in her field. Her ongoing contributions to academic journals and international collaborations further solidify her standing in the global research community.

Conclusion

Prof. Dr. Miljana Milic is an accomplished academic whose research has made a significant impact in the fields of artificial intelligence, neural networks, and electronic circuit design. With a strong academic background and extensive professional experience, she has contributed to numerous international projects and innovations that bridge theory with real-world applications. Her work in predictive modeling, particularly in energy systems and communication technologies, showcases her interdisciplinary approach and commitment to advancing modern science and engineering. Through her dedication to research, teaching, and mentorship, Prof. Milic continues to inspire and shape the future of engineering, making her a highly deserving candidate for the Best Academic Researcher Award.

Publications Top Notes

  • Title: Decimation Filter Design
    Authors: M. Sokolovic, B. Jovanovic, M. Damnjanovic
    Year: 2004
    Citation: 21
    Source: 24th International Conference on Microelectronics (IEEE Cat. No …)

  • Title: Modular Design of Fast Leading Zeros Counting Circuit
    Authors: N.Z. Milenkovic, V.V. Stankovic, M.L. Milic
    Year: 2015
    Citation: 19
    Source: Journal of Electrical Engineering 66 (6), 329

  • Title: Oscillation-Based Analog Diagnosis Using Artificial Neural Networks Based Inference Mechanism
    Authors: M.A. Stošović, M. Milić, M. Zwolinski, V. Litovski
    Year: 2013
    Citation: 19
    Source: Computers & Electrical Engineering 39 (2), 190-201

  • Title: Performance Analysis of SSC/SC Combiner at Two Time Instants in the Presence of Rayleigh Fading
    Authors: P. Nikolić, D. Krstić, M. Milić, M. Stefanović
    Year: 2011
    Citation: 17
    Source: Walter de Gruyter GmbH & Co. KG 65 (11-12), 319-325

  • Title: Simulation of a Pick-and-Place Cube Robot by Means of the Simulation Software KUKA Sim Pro
    Authors: D. Lukač
    Year: 2018
    Citation: 11
    Source: 41st International Convention on Information and Communication Technology (ICT)

  • Title: Analog Filter Diagnosis Using the Oscillation-Based Method
    Authors: M.S. Andrejevic, M. Milic
    Year: 2012
    Citation: 11
    Source: Journal of Electrical Engineering 63 (6), 349

  • Title: Oscillation-Based Analog Testing—A Case Study
    Authors: M. Milić, M.A. Stošović, V. Litovski
    Year: 2011
    Citation: 10
    Source: Proceedings of the 34th International Convention MIPRO, 96-101

  • Title: Using VHDL Simulator to Estimate Logic Path Delays in Combinational and Embedded Sequential Circuits
    Authors: M.L.J. Sokolovic, V.B. Litovski
    Year: 2005
    Citation: 10
    Source: EUROCON 2005-The International Conference on “Computer as a Tool” 2, 1683-1686

  • Title: Arduino-Based Non-Contact System for Thermal-Imaging of Electronic Circuits
    Authors: M. Milic, M. Ljubenovic
    Year: 2018
    Citation: 9
    Source: Zooming Innovation in Consumer Technologies Conference (ZINC), 62-67

  • Title: From Artificial Intelligence to Augmented Age: An Overview
    Authors: D. Lukac, M. Milic, J. Nikolic
    Year: 2018
    Citation: 6
    Source: Zooming Innovation in Consumer Technologies Conference (ZINC), 100-103

  • Title: Daily Danube River Water Level Prediction Using Extreme Learning Machine Approach
    Authors: M. Milić, N. Radivojević, J. Milojković, M. Jeremić
    Year: 2024
    Source: Facta Universitatis, Series: Automatic Control and Robotics 23 (1), 077-094

  • Title: Adaptation of the Feedback Transfer Function for Oscillation-Based Testing of Second-Order Active RC Filters
    Authors: D. Mirković, M. Milić, M.S. Mirković
    Year: 2024
    Source: Facta Universitatis, Series: Automatic Control and Robotics 23 (1), 001-015

  • Title: Prediction of Reference Evapotranspiration Using Neural Networks
    Authors: M. Milić, M. Jeremić, J. Milojković, M.S. Mirković
    Year: 2024
    Source: 11th International Conference on Electrical, Electronic and Computing Technologies

  • Title: Extended, Short-Term Neural Prediction Methodology for European Electricity Production by Type
    Authors: M.L.J. Milic, J.B. Milojković, A.Z. Petrusic
    Year: 2024
    Source: ACTA POLYTECHNICA HUNGARICA 21 (8), 147-168

  • Title: A Defects Classification Algorithm for Hybrid OBT–IDDQ Fault Diagnosis in Analog CMOS Integrated Circuits
    Authors: D.D. Mirkovic, M.L. Milić, M. Stanojlovic, V.Z. Petrovic
    Year: 2024
    Source: Journal of Circuits, Systems and Computers (2024)