Chander Prabha | Computer Science | Research Excellence Award

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Prof Dr. Chander Prabha | Computer Science | Research Excellence Award

Chitkara University, Punjab- India.

Author Profile

Early Academic Pursuits 🎓

Dr. Chander Prabha’s academic journey began with a keen interest in Computer Science, which led him to pursue a B.Tech in Computer Science & Engineering from Maharishi Markendeshwar Engineering College, Mullana, Ambala (1998-2002), affiliated with Kurukshetra University. His foundational education set the stage for an illustrious career in academia and research. Dr. Prabha further honed his skills by obtaining a Master’s degree in Computer Science & Engineering from the prestigious Punjab Engineering College, Chandigarh, from 2002 to 2004, under Punjab University. His passion for advancing knowledge in the field culminated in his Ph.D. in Computer Science & Engineering from M.M. University, Ambala in 2018, solidifying his expertise in the domain.

Professional Endeavors and Academic Contributions 📚

Dr. Prabha’s professional experience spans 18 years and is marked by significant leadership roles and academic contributions. He currently serves as a Professor at the Department of Computer Science & Engineering (DCSE) at Chitkara University, Punjab, since March 2022. Prior to this, he held the position of Professor in CSE at Chandigarh University, Mohali, from October 2019 to February 2022. During his tenure at Chandigarh University, he was entrusted with additional responsibilities such as Academic Coordinator for the 2nd Year and University Cluster MOOC Coordinator, demonstrating his leadership and organizational skills.

Dr. Prabha’s experience as Principal and Dean Academics at Ram Devi Jindal Group of Professional Institutions, affiliated with Punjab Technical University (PTU), Jalandhar, from February 2017 to October 2019, marked a pivotal chapter in his career. Here, he played an instrumental role in shaping the academic direction of the institution. Earlier in his career, Dr. Prabha held significant academic positions, including Associate Professor (CSE) and Academic Coordinator at Chandigarh Group of Colleges, Jhanjeri, Mohali (2014-2017), and Assistant Professor and Head of Information Technology at SDDIET, Barwala, Panchkula (2007-2014).

Contributions and Research Focus 🔬

Dr. Prabha’s research interests lie at the intersection of Computer Science, Technology Transfer, and Intellectual Property Management. He is deeply committed to the advancement of knowledge in Computer Science and Engineering through various research initiatives and publications. His research contributions are aimed at improving the educational landscape in the field of CSE, especially in terms of technology integration and knowledge dissemination.

A notable initiative under his leadership was the 5-Day Faculty Development Program on “Unlocking Potential: Maximizing Impact via Technology Transfer, Publications, Consultancies & Intellectual Property Management”, which was held in January 2024 at Chitkara University in collaboration with CURIN (Chitkara University Research and Innovation Network). This program was a testament to Dr. Prabha’s dedication to empowering faculty members with the latest tools and knowledge to enhance their academic and research capabilities.

Accolades and Recognition 🏅

Dr. Prabha’s exceptional teaching and administrative abilities have earned him numerous accolades. His commitment to academic excellence has been consistently recognized by his peers and institutions. He was honored with a Letter of Appreciation for his remarkable ability to achieve excellent results in his academic endeavors. His proficiency in leadership, teaching, and research management has made him a respected figure in the academic community.

Impact and Influence 🌍

Dr. Chander Prabha’s contributions extend beyond the classroom and research labs. Through his leadership roles, he has played a crucial part in shaping academic policies and structures that foster the growth of students and faculty alike. His efforts in establishing effective educational frameworks have had a lasting impact on the institutions where he has served. As a mentor, he has guided countless students and colleagues toward academic and professional success, leaving a positive influence on the next generation of Computer Science professionals.

Dr. Prabha’s involvement in technology transfer and intellectual property management is particularly noteworthy. By fostering a culture of innovation, he has helped bridge the gap between academic research and real-world applications, ensuring that cutting-edge knowledge translates into practical solutions.

Legacy and Future Contributions 🔮

Looking ahead, Dr. Prabha is poised to continue making significant contributions to the Computer Science & Engineering field. His forward-thinking approach to technology transfer, research management, and academic leadership positions him as a key figure in shaping the future of higher education. Dr. Prabha’s legacy will undoubtedly inspire future generations of academics, researchers, and professionals to pursue excellence and contribute meaningfully to the evolving world of technology and education.

In conclusion, Dr. Chander Prabha’s early academic pursuits, professional experience, research contributions, and leadership have not only shaped his career but also left an indelible mark on the academic community. His ongoing work in education, research, and technology transfer continues to inspire and drive meaningful change, making him a respected leader and a mentor to many. 🌱

Citations

A total of 397 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        397
  • h-index          101
  • i10-index         10

Notable Publications 

  • Adaptive Intelligent Reflecting Surfaces for Enhanced Wireless Communication via Multi-Agent Deep Reinforcement Learning
    Author: Dr. Chander Prabha
    Journal: IEEE Access
    Year: 2025.

  • Advanced Beamforming and Reflection Control in Intelligent Reflecting Surfaces with Integrated Channel Estimation
    Author: Dr. Chander Prabha
    Journal: IET Microwaves, Antennas & Propagation
    Year: 2024-12-07

  • Optimized Technique for Speaker Changes Detection in Multispeaker Audio Recording Using Pyknogram and Efficient Distance Metric
    Author: Dr. Chander Prabha
    Journal: PLOS ONE
    Year: 2024-11-20

  • Effect of Load and Routing Protocols on Networks on Chip (NoC): An Analysis
    Author: Dr. Chander Prabha
    Journal: Journal of Computer Science
    Year: 2024-11-01

  • Comparative Analysis of Frequently Used E-learning Platforms
    Author: Dr. Chander Prabha
    Journal: Frontiers in Education
    Year: 2024-10-18

Tanu Singh | Data Warehouse | Best Researcher Award

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Dr. Tanu Singh | Data Warehouse | Best Researcher Award

UPES, Dehradun, India

Author Profile

🎓 Early Academic Pursuits

Dr. Tanu Singh’s academic journey is a testament to her passion for Computer Science & Engineering 🖥️. She began her higher education with a Bachelor of Technology (B.Tech) in Information Technology from I.K. Gujral Punjab Technical University, completing it in 2011 with an impressive 81%. Her enthusiasm for research and technical innovation led her to pursue a Master of Technology (M.Tech) in Computer Science & Engineering at the same university, which she successfully completed in 2014, securing 77%.

Eager to deepen her expertise, she embarked on a rigorous Ph.D. in Computer Science & Engineering at Guru Gobind Singh Indraprastha University, New Delhi 🎓. Her thesis, titled “Validation of Metrics for Quality Assessment of Requirements Model for Data Warehouse”, focused on Requirements Engineering, Data Warehousing, and Machine Learning 🧠. Under the guidance of Dr. Manoj Kumar, she conducted groundbreaking research that contributed significantly to the field.

👩‍🏫 Professional Endeavors

With a solid foundation in academia, Dr. Tanu Singh transitioned into the role of an Assistant Professor (Senior Scale) at the School of Computer Science, UPES-Bidholi Campus, Dehradun 📍. Her teaching methodology is a blend of practical application, research-driven insights, and interactive learning. Over the years, she has mentored numerous students, helping them build expertise in fields like Data Warehousing, Machine Learning, and Requirements Engineering.

Apart from teaching, she has played an active role in academic administration, curriculum development, and research collaborations 📚. Her ability to bridge theory with real-world applications has made her a respected educator in the field.

🔬 Contributions and Research Focus

Dr. Tanu Singh’s research interests lie at the intersection of Requirements Engineering, Data Warehousing, and Machine Learning 🤖📊. Her Ph.D. research introduced innovative quality assessment metrics that enhanced the efficiency and reliability of Data Warehouse Requirements Models. This work is crucial in ensuring that data-driven decision-making systems are more accurate, scalable, and optimized.

Her contributions include:

  • 📌 Development of validation metrics to assess the quality of Data Warehouse models

  • 📌 Application of Machine Learning techniques to improve requirements engineering

  • 📌 Bridging the gap between theory and real-world applications through her research

Her work has been widely acknowledged and has laid the foundation for future advancements in the field of Data Warehousing 🏗️.

🏆 Accolades and Recognition

Dr. Tanu Singh’s relentless dedication to research and education has earned her several accolades, including:

  • 🏅 Recognition for her high-impact Ph.D. research in Requirements Engineering

  • 🏅 Acknowledgment from Guru Gobind Singh Indraprastha University for her contributions to academic research

  • 🏅 Consistently high student feedback ratings for her engaging and insightful teaching methods

Her work has been presented at national and international conferences, where she has received praise for her innovative approach to problem-solving.

🌍 Impact and Influence

Dr. Tanu Singh’s influence extends beyond research and teaching 📖. She actively participates in:

  • 🔹 Workshops and Seminars to spread knowledge about emerging trends in Data Science and Machine Learning

  • 🔹 Mentoring students for research projects, ensuring they develop practical expertise

  • 🔹 Collaboration with industry experts to align academic research with real-world applications

Her efforts have helped students and professionals grasp complex technical concepts with ease, making her a sought-after academic mentor.

🚀 Legacy and Future Contributions

Looking ahead, Dr. Tanu Singh aims to:
✅ Expand her research in Machine Learning-driven Requirements Engineering 🧠📊
✅ Publish high-impact papers in top-tier journals 📜
✅ Develop innovative teaching strategies to empower the next generation of Computer Science professionals 💡
✅ Collaborate with global researchers to advance Data Warehousing technologies 🌎

Her passion for knowledge, research, and education ensures that she will continue making valuable contributions to the field, leaving a lasting legacy in Computer Science & Engineering.

Citations

A total of 14 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         14
  • h-index           08
  • i10-index        02

Notable Publications 

  • A Novel Metric for Assessing Structural Complexity of Data Warehouse Requirements Models

    • Authors: T Singh, V Patidar, M Singh

    • Journal: Expert Systems with Applications

    • Year: 2024.

  • Explainable AI for Education: Recent Trends and Challenges

    • Authors: T Singh, S Dutta, S Vyas, Á Rocha

    • Journal: Springer Nature Switzerland, Imprint: Springer

    • Year: 2024.

  • Employ Metrics in the Data Warehouse’s Requirements Model for Hospitals

    • Authors: T Singh, B Kaushik

    • Journal: Handbook on Augmenting Telehealth Services

    • Year: 2024.

  • A Survey on SCADA’s Security, Concerns and Attacks

    • Authors: TJS Singh, JI Sheeba, SP Devaneyan

    • Journal: International Conference on Advancements in Smart Computing and Information

    • Year: 2023.

  • Schema Understandability: A Comprehensive Empirical Study of Requirements Metrics

    • Authors: T Singh, V Patidar, M Singh, Á Rocha

    • Journal: Information

    • Year: 2025.

Ashish Raj | Decision Sciences | Best Research Award

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Mr. Ashish Raj | Decision Sciences | Best Research Award

Indian Institute of Management, Mumbai, India

Author Profile

Early Academic Pursuits 🎓

Ashish Raj’s academic journey is marked by a consistent quest for excellence and an eagerness to explore multiple disciplines. His academic story began with a strong foundation in his early education, where he achieved remarkable success in both the 10th and 12th grades. With an outstanding score of 85.40% in his ICSE examinations at St. Xavier’s High School, Patna, and 77.40% in his CBSE 12th grade exams from Loyola Senior Secondary School, Patna, Ashish demonstrated not only intelligence but also a keen understanding of his subjects.

His passion for engineering was evident as he pursued a Bachelor’s degree in Civil Engineering at Birla Institute of Technology (BIT) Mesra. There, Ashish excelled with a commendable 74% and distinguished himself both academically and in extracurricular activities. His participation in technical fests and his involvement in the National Service Scheme (NSS) provided a well-rounded experience, setting the stage for his future endeavors. His academic performance, combined with his leadership skills, solidified his position as a promising student.

Professional Endeavors and Contributions 💼

Ashish’s transition into the professional sphere was seamless, as he chose to further deepen his knowledge by pursuing a Master’s degree in Structural Engineering at the prestigious Indian Institute of Technology, Varanasi (IIT BHU). During his M.Tech, he developed a nuanced understanding of Civil Engineering’s technical aspects, which paved the way for his specialization in Operations and Supply Chain Management. At IIT BHU, Ashish’s academic rigor and dedication were reflected in his high distinction of 8.0/10, which speaks volumes about his technical expertise and determination.

Upon completion of his M.Tech, Ashish chose to expand his horizons by focusing on Operations and Supply Chain Management, an area that marries his engineering background with his analytical and problem-solving skills. His decision to pursue a Ph.D. in this field at the Indian Institute of Management (IIM) Mumbai reflects his growing ambition and desire to contribute significantly to the field of management and research.

Research Focus and Impact 🔬

Ashish Raj’s primary research focus revolves around Operations and Supply Chain Management, a domain that has become increasingly critical in today’s globalized economy. His doctoral research at IIM Mumbai examines innovative strategies to optimize supply chains, incorporating the latest technological advancements and management theories. His work aims to provide impactful insights into improving efficiency, reducing costs, and enhancing the sustainability of supply chains in various industries.

In addition to his academic pursuits, Ashish has consistently explored the intersection of engineering and management, demonstrating his interdisciplinary approach to problem-solving. His comprehensive understanding of structural engineering combined with supply chain dynamics gives him a unique perspective to tackle complex real-world issues.

Accolades and Recognition 🏅

Throughout his academic career, Ashish has been recognized for his dedication, intellectual curiosity, and leadership skills. His academic excellence in both undergraduate and postgraduate studies earned him recognition among his peers and faculty. At IIT BHU, his research on Structural Engineering earned him accolades, with professors praising his meticulous approach to complex engineering problems. His Ph.D. research at IIM Mumbai is also making waves in the academic community, where his findings have the potential to influence real-world supply chain practices.

Impact and Influence 🌍

Ashish Raj’s influence extends beyond just academic research. As a scholar, he actively contributes to his community by participating in various academic forums, conferences, and seminars. His work has inspired other students and budding researchers to explore the realms of Operations and Supply Chain Management and its relevance in contemporary industries. His interdisciplinary approach, blending Civil Engineering with business and management principles, has enabled him to provide valuable insights that have the potential to transform industries.

Moreover, his contributions to the technical fests, NSS activities, and his involvement with academic groups have positively impacted the community at BIT Mesra and IIT BHU, fostering a spirit of collaboration and academic excellence.

Legacy and Future Contributions ✨

Ashish Raj’s legacy is one of continuous learning and pursuit of excellence. As he progresses with his Ph.D., his research will undoubtedly have lasting effects in the fields of Operations and Supply Chain Management. The tools and frameworks he is developing could prove pivotal in transforming industries by optimizing logistics, enhancing customer service, and ensuring sustainability across supply chains.

Looking ahead, Ashish is determined to make significant contributions to the academic world. His vision includes not only publishing influential research but also mentoring future generations of scientists, engineers, and business leaders. Ashish’s academic journey and his passion for interdisciplinary research make him a role model for aspiring students who wish to bridge the gap between engineering and management, ultimately creating a sustainable and innovative future. His commitment to contributing meaningfully to the academic community and beyond will continue to inspire both his peers and the next generation of researchers.

In summary, Ashish Raj’s journey has been one of continual growth, where his curiosity and dedication have guided him to become a promising researcher with a bright future. With a passion for solving complex problems and a deep commitment to learning, he is poised to make lasting contributions in both academia and industry.

Shahid Mohammad Ganie | Computer Science | Best Researcher Award

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Dr. Shahid Mohammad Ganie | Computer Science | Best Researcher Award

AI Research Centre, Woxsen University, India

Author Profile

Early Academic Pursuits 🎓✨

Dr. Shahid Mohammad Ganie’s academic journey is a testament to his dedication to excellence. He began his higher education by earning a Bachelor’s degree in Mathematics (B.Sc) from the prestigious University of Kashmir, laying a strong foundation in analytical and logical reasoning. He further pursued a Master’s degree in Computer Applications (MCA) from the School of Mathematical and Computer Sciences, BGSB University, Jammu and Kashmir, where he excelled as a Gold Medalist, showcasing his commitment to academic brilliance.

Dr. Ganie’s passion for innovation and technology led him to complete his Ph.D. in Healthcare Informatics from the same institution. During his doctoral research, he focused on the intersection of artificial intelligence and healthcare, a domain that continues to define his professional endeavors and contributions.

Professional Endeavors 💼💡

Currently serving as an Assistant Professor and Research Scientist at the AI Research Centre, Woxsen University, Hyderabad, Dr. Ganie has amassed over 2 years of teaching experience at both undergraduate and postgraduate levels. His dual role as an academic and researcher enables him to bridge theoretical knowledge with practical applications, particularly in cutting-edge fields like Explainable AI, Data Analytics, and Machine Learning.

Dr. Ganie also leads as the Program Director of MBA (BA, AI & ML) at Woxsen University. His leadership in this interdisciplinary program emphasizes integrating business acumen with technological advancements, preparing students to thrive in the AI-driven future.

As a Technology Advisory Board member of the AI Research Centre, he actively contributes to shaping the institution’s strategic direction, fostering innovation, and enhancing industry-academia collaboration.

Contributions and Research Focus 🔍🧠

Dr. Ganie’s research interests are diverse and impactful, encompassing Data Analytics, Explainable AI, Machine Learning, Deep Learning, Healthcare Informatics, and Medical Image Computing. His dedication to advancing these fields is evident through his extensive body of work:

  • Publications: Over 30 research articles in refereed journals, edited books, and renowned international conferences, highlighting his thought leadership in AI and healthcare informatics.
  • Patents: Holder of 2 patents in the healthcare domain, underscoring his innovative contributions to improving medical technologies.
  • Books: Editor of 2 books, published by reputed publishers like Elsevier and Taylor and Francis, further cementing his expertise and influence in the academic community.

His focus on Explainable AI ensures that AI systems remain transparent, interpretable, and trustworthy, particularly in healthcare informatics, where patient safety and ethical considerations are paramount.

Accolades and Recognition 🏆🌟

Dr. Ganie’s exemplary contributions have been recognized through numerous awards and honors:

  • Best Researcher Awards: He was bestowed with the Best Researcher Awards by the School of Business at Woxsen University for consecutive academic years, 2023 and 2024, in recognition of his outstanding research output.
  • Research Grants: Recipient of prestigious research grants that have enabled him to undertake groundbreaking projects in AI and healthcare.

These accolades are a testament to his relentless pursuit of excellence and his ability to inspire and lead within the academic and research community.

Impact and Influence 🌍🔗

Dr. Ganie’s work has far-reaching implications across academia and industry. As a mentor and Chair Professor, he nurtures the next generation of scholars, encouraging them to explore innovative solutions to real-world challenges. His role as a Technology Advisory Board member ensures that his insights shape institutional strategies, fostering growth and innovation.

His emphasis on AI-driven innovations in healthcare has the potential to revolutionize patient care by making diagnostic tools more accurate, accessible, and ethical.

Legacy and Future Contributions 🚀📚

Looking ahead, Dr. Ganie aims to continue advancing the fields of Data Analytics, Machine Learning, and Healthcare Informatics, driving AI innovations that benefit society. His ongoing projects, combined with his leadership roles, ensure that his impact will resonate for years to come.

As a dedicated mentor, he strives to inspire his students to become leaders in their respective fields. His commitment to bridging academia and industry is pivotal in fostering collaboration and ensuring the practical relevance of academic research.

Citations

A total of 187 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        187
  • h-index          23
  • i10-index       08

Notable Publications

  • Title: An Investigation of Ensemble Learning Techniques for Obesity Risk Prediction Using Lifestyle Data
    Authors: Ganie, S.M., Reddy, B.B., K, H., Rege, M.
    Journal: Decision Analytics Journal
    Year: 2025.
  • Title: Improved Liver Disease Prediction from Clinical Data through an Evaluation of Ensemble Learning Approaches
    Authors: Ganie, S.M., Dutta Pramanik, P.K., Zhao, Z.
    Journal: BMC Medical Informatics and Decision Making
    Year: 2024.
  • Title: Correction to: VER-Net: A Hybrid Transfer Learning Model for Lung Cancer Detection Using CT Scan Images
    Authors: Saha, A., Ganie, S.M., Dutta Pramanik, P.K., Mallik, S., Zhao, Z.
    Journal: BMC Medical Imaging
    Year: 2024.
  • Title: VER-Net: A Hybrid Transfer Learning Model for Lung Cancer Detection Using CT Scan Images
    Authors: Saha, A., Ganie, S.M., Pramanik, P.K.D., Mallik, S., Zhao, Z.
    Journal: BMC Medical Imaging
    Year: 2024.
  • Title: A Comparative Analysis of Boosting Algorithms for Chronic Liver Disease Prediction
    Authors: Ganie, S.M., Dutta Pramanik, P.K.
    Journal: Healthcare Analytics
    Year: 2024.

Anushka Joshi | Data Science | Best Researcher Award

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Ms. Anushka Joshi | Data Science | Best Researcher Award

Indian Institute of Technology, Roorkee, India

Author Profile

Early Academic Pursuits 🌟📘

Anushka Joshi’s journey in the realm of academia has been marked by her unwavering dedication and stellar achievements. From her school days, she displayed an exceptional aptitude for computer science, culminating in her receiving the CBSE Computer Science School Topper Award in 2016. Her academic foundation was further solidified during her B.Tech in Computer Science and Engineering (CSE) at Govind Ballabh Pant Institute of Engineering and Technology, Pauri, where she graduated with an impressive 85.4% in 2020, earning a first-division distinction.

This strong base enabled her to secure a remarkable GATE rank of 599 in CSE (2022), opening the doors to prestigious institutions for her postgraduate studies. Her journey reflects her commitment to academic excellence and her passion for technology. 🎓💻

Professional Endeavors 🚀💼

Anushka embarked on her M.Tech in CSE at the esteemed Indian Institute of Technology (IIT) Hyderabad from 2020 to 2022. Here, she maintained an exceptional CGPA of 9.8, showcasing her in-depth understanding and expertise in her field. During her tenure, she was honored with the Student Excellence Award (2022), a testament to her outstanding academic and extracurricular contributions.

Her M.Tech thesis, which focused on utilizing machine learning for earthquake systems, earned her an A+ (outstanding grade), highlighting her ability to apply computational techniques to real-world problems. Additionally, Anushka won the Build Project competition in 2022, further demonstrating her technical prowess and innovative thinking. 🏆💡

Anushka’s professional journey reached greater heights when she joined the Ph.D. program in CSE at IIT Roorkee in 2022. Her exceptional work and potential earned her the prestigious Prime Minister’s Research Fellowship (PMRF), enabling her to delve deeper into groundbreaking research. Currently, she maintains a perfect 10 CGPA, reflecting her continued excellence. 📊🔬

Contributions and Research Focus 📑🔍

Anushka’s research revolves around applying advanced machine learning (ML) and artificial intelligence (AI) methodologies to solve pressing issues in various domains. Her M.Tech thesis demonstrated her capability to model earthquake systems using ML, contributing valuable insights for disaster management and prediction.

As a Ph.D. scholar at IIT Roorkee, she continues to push the boundaries of computational research, working on innovative projects that address critical challenges. Her contributions, underpinned by her technical acumen, have the potential to create significant societal impacts, especially in areas involving environmental sustainability and disaster resilience. 🌏🤖

Accolades and Recognition 🏅✨

Throughout her academic and professional journey, Anushka has amassed numerous accolades, cementing her reputation as a brilliant scholar:

  • CBSE Computer Science School Topper Award (2016) 🏫
  • Student Excellence Award at IIT Hyderabad (2022) 🎖️
  • A+ (Outstanding Grade) for M.Tech Thesis 📜
  • Build Project Competition Winner (2022) 🥇
  • PMRF Fellowship Recipient for exemplary research potential 🎓

These achievements reflect her dedication, hard work, and ability to excel in diverse academic pursuits. 🏆🎉

Impact and Influence 🌟🌐

Anushka’s work has not only contributed to the academic community but has also inspired peers and juniors to aim for excellence. Her involvement in pioneering projects and her academic distinction serve as a source of motivation for aspiring students in the field of computer science and engineering. 💻📈

Her research on earthquake systems has practical implications for disaster preparedness, potentially saving lives and reducing infrastructure damage. By leveraging AI and ML, Anushka is contributing to advancements that bridge the gap between technology and societal needs. 🌍💡

Legacy and Future Contributions 🔮🛠️

As Anushka continues her Ph.D. at IIT Roorkee, she is poised to leave a lasting legacy in her field. Her relentless pursuit of knowledge and innovation ensures that her contributions will extend far beyond academia, impacting industries and communities alike.

In the future, she envisions collaborating with global researchers and institutions to further her work, making strides in AI-driven solutions for environmental challenges and disaster management. With her strong foundation, passion for learning, and commitment to excellence, Anushka is set to shape the future of technology and its applications for societal benefit. 🚀🌌

Citations

A total of 169 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations        169
  • h-index           08
  • i10-index        04

Notable Publications 

  • IsoMapGen: Framework for Early Prediction of Peak Ground Acceleration Using Tripartite Feature Extraction and Gated Attention Model
    • Authors: Joshi, A., Singh, P., Raman, B.
    • Journal: Computers and Geosciences
    • Year: 2025.
  • An Integrated Approach for Prediction of Magnitude Using Deep Learning Techniques
    • Authors: Joshi, A., Raman, B., Mohan, C.K.
    • Journal: Neural Computing and Applications
    • Year: 2024.
  • Application of XGBoost Model for Early Prediction of Earthquake Magnitude from Waveform Data
    • Authors: Joshi, A., Vishnu, C., Mohan, C.K., Raman, B.
    • Journal: Journal of Earth System Science
    • Year: 2024.
  • A New Machine Learning Approach for Estimating Shear Wave Velocity Profile Using Borelog Data
    • Authors: Joshi, A., Raman, B., Mohan, C.K., Cenkeramaddi, L.R.
    • Journal: Soil Dynamics and Earthquake Engineering
    • Year: 2024.
  • A Deep Attention Model for Onsite Estimation of Earthquake Epicenter Distance and Magnitude
    • Authors: Joshi, A., Singh, P., Raman, B.
    • Journal: IEEE Transactions on Geoscience and Remote Sensing
    • Year: 2024.

Trilochan Rout | Bioinformatics | Best Researcher Award

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Mr. Trilochan Rout | Bioinformatics | Best Researcher Award

International Institute of Information Technology(IIIT), India

Author Profile

🎓 Early Academic Pursuits

Trilochan Rout’s journey into the world of academia and engineering began with a solid foundation in his early education. Completing his high school from Sarala High School, Bhitar Andhari, Odisha, in 1998 with a commendable First Division (67.20%), he showcased an aptitude for science and technology. This interest carried forward to his +2 Science studies at A.S.D College Tirtol, Odisha, where he passed with Second Division (50.00%) in 2000.

Fuelled by a passion for engineering, Trilochan pursued a B.Tech. in Computer Science & Engineering from GHITM Puri, Odisha, earning a First Division (65.14%) in 2005. His drive for deeper learning led him to pursue an M.Tech. in Computer Science at Berhampur University, Odisha, achieving an impressive First Division (75%) in 2009. To cement his academic pursuits, Trilochan embarked on a Ph.D. in Computer Science & Engineering at IIIT Bhubaneswar in November 2020. His research focused on the identification of essential cancer proteins in PPI networks using efficient graph-based algorithms. With his Ph.D. thesis submitted in October 2024, he stands at the threshold of contributing groundbreaking advancements in computational biology.

👨‍🏫 Professional Endeavors

Trilochan’s professional career spans over 15 years, showcasing dedication and impactful teaching. He began as a Senior Lecturer in the Department of Computer Science and Engineering at Roland Institute of Technology, Berhampur, Odisha, from 2007 to January 2010. Here, he honed his pedagogical skills and laid the groundwork for his academic excellence.

In February 2010, Trilochan transitioned to NM Institute of Engineering & Technology, Bhubaneswar, as an Assistant Professor in Computer Science and Engineering. During his decade-long tenure, he contributed significantly to student success and departmental growth.

Since July 2024, Trilochan has been associated with the Centurion University of Technology and Management (CUTM), Bhubaneswar, as an Assistant Professor. His role extends beyond teaching, involving mentorship, research guidance, and academic program development.

🔍 Contributions and Research Focus

Trilochan’s primary research lies in the application of graph-based algorithms for solving real-world problems. His Ph.D. work, centered on identifying essential cancer proteins in protein-protein interaction (PPI) networks, highlights his innovative approach to computational biology. His research has significant implications for cancer treatment, aiding in the discovery of target proteins for drug development.

His interest extends to areas like:

  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Graph Theory Applications
  • Bioinformatics

Through publications and presentations, Trilochan continues to disseminate his knowledge, inspiring both peers and students.

🏆 Accolades and Recognition

Trilochan has been recognized for his academic rigor and professional excellence throughout his career. Noteworthy highlights include:

  • Successfully mentoring students who have excelled in both academia and industry.
  • Leading workshops and seminars, fostering innovation in computer science education.
  • Contributing to curriculum design at his institutions, aligning them with modern technological trends.

🌟 Impact and Influence

As a teacher, Trilochan is revered for his student-centric approach. His ability to simplify complex concepts and instill a passion for learning has positively influenced hundreds of budding engineers. By integrating cutting-edge research into classroom teaching, he bridges the gap between theory and practice.

His impact extends to institutional growth, where he has played a pivotal role in enhancing academic standards, collaborating with peers to introduce innovative teaching methodologies.

🌍 Legacy and Future Contributions

Trilochan envisions a future where education and research intersect to solve pressing global challenges. His contributions to bioinformatics are set to pave the way for advancements in healthcare. As a mentor, he aims to nurture the next generation of researchers who will push the boundaries of computer science.

In the coming years, Trilochan plans to:

  • Expand his research into AI-driven healthcare solutions.
  • Author academic texts and research papers to share his expertise.
  • Develop interdisciplinary programs to equip students for a rapidly evolving tech landscape.

Notable Publications 

  • Title: Centrality-Based Approach for Identifying Essential Cancer Proteins in PPI Networks
    Authors: Rout, T., Mohapatra, A., Kar, M., Muduly, D.K.
    Journal: SN Computer Science
    Year: 2025.
  • Title: Essential Proteins in Cancer Networks: A Graph-Based Perspective Using Dijkstra’s Algorithm
    Authors: Rout, T., Mohapatra, A., Kar, M., Muduly, D.K.
    Journal: Network Modeling Analysis in Health Informatics and Bioinformatics
    Year: 2024.
  • Title: A Systematic Review of Graph-Based Explorations of PPI Networks: Methods, Resources, and Best Practices
    Authors: Rout, T., Mohapatra, A., Kar, M.
    Journal: Network Modeling Analysis in Health Informatics and Bioinformatics
    Year: 2024.
  • Title: Essential Protein Identification in Cancer: A Graph-Based Approach Integrating Topological and Biological Features in PPI Networks
    Authors: Rout, T., Mohapatra, A., Kar, M., Muduly, D.K.
    Journal: SN Computer Science
    Year: 2024.
  • Title: Essential Cancer Protein Identification Using Graph-Based Random Walk with Restart
    Authors: Rout, T., Mohapatra, A., Kar, M., Muduly, D.K.
    Journal: Computer Methods in Biomechanics and Biomedical Engineering
    Year: 2024.

Dattatray Takale | Machine Learning | Best Researcher Award

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Dr. Dattatray Takale | Machine Learning | Best Researcher Award

Vishwakarma Institute of information Technology, Pune, India

Author Profile

Early Academic Pursuits 📚

Dr. Dattatray G. Takale’s journey in the field of Computer Science and Engineering began with a strong foundation laid during his formative years. Completing his SSC with an impressive 70% from Pune Board in 2007, he displayed academic diligence early on. In 2009, he earned his HSC certification, achieving a commendable 59%, showcasing his growing interest in science and technology.

His academic trajectory took a significant leap when he pursued a Bachelor of Engineering (BE) in Computer Science and Engineering from Savitribai Phule Pune University (SPPU), graduating in 2013 with a solid 60%. Dr. Takale’s thirst for knowledge propelled him further, leading to a Master of Engineering (ME) in 2015 from the same university, where he excelled with an impressive 8.04 grade. His crowning academic achievement came in February 2022 when he earned a Ph.D. in Computer Science and Engineering from JJTU, Rajasthan, with a stellar grade of 8.0.

Professional Endeavors 💼

Dr. Takale’s professional journey is marked by versatility and dedication, blending academia and industry expertise. He began his career as a Lecturer at GRD Soft Tech, Baramati (2013-2014), setting the stage for his academic pursuits. Subsequently, he honed his teaching skills as an Assistant Professor at SIETC Paniv, Solapur (2015-2017) and Dattakala Group of Institutes, Faculty of Engineering, Pune (2017-2019).

Expanding his horizons, Dr. Takale ventured into the industry as a Software Engineer at Landmark Techedge Pvt. Ltd (2019-2022), gaining valuable experience in data engineering, SQL development, and website design. Since September 2022, he has been serving as an Assistant Professor at the prestigious Vishwakarma Institute of Information Technology, Pune. With over 11 years of diverse experience, Dr. Takale seamlessly bridges the gap between academia and industry.

Contributions and Research Focus 🖋️

Dr. Takale’s contributions extend beyond teaching. He is an expert in research paper writing, Turnitin plagiarism tools, and educational project implementation. His technical acumen includes proficiency in programming languages like C, C++, Python, and Visual Basic, along with expertise in software engineering, data structures, algorithms, and network simulation tools like NS-2 and NS-3.

A significant part of his research is centered on Wireless Sensor Networks, intellectual property rights (IPR), patent and copyright drafting, and network simulations. His deep understanding of HTML, XML, and PHP, coupled with tools like Latex and Mendeley, underscores his dedication to advancing research methodologies.

Accolades and Recognition 🏆

Dr. Takale’s excellence has earned him recognition from peers and institutions alike. His ability to manage academic responsibilities, solve complex problems, and foster teamwork highlights his dynamic skill set. Known for his sincerity, willingness to learn, and exemplary communication skills, he is a valued educator and researcher.

His expertise in guiding students through challenging subjects like Discrete Mathematics, Data Structures, and Design and Analysis of Algorithms has made him a sought-after mentor in undergraduate education. Dr. Takale’s commitment to fostering innovation is evident in his ability to navigate both theoretical and practical aspects of computer science.

Impact and Influence 🌍

Dr. Takale has significantly influenced students and colleagues with his analytical mindset and problem-solving skills. His dual experience in academia and industry allows him to prepare students for real-world challenges. By integrating modern tools and technologies into the curriculum, he ensures that students are well-versed in both foundational and advanced topics.

Legacy and Future Contributions 🚀

As a dedicated researcher and educator, Dr. Takale’s legacy lies in his unwavering commitment to excellence. He aspires to contribute further to the academic and technological landscape by fostering innovation and research. His vision includes empowering students to excel in programming, software development, and research while promoting ethical practices through tools like Turnitin.

In the future, Dr. Takale aims to expand his research in Wireless Sensor Networks and IPR, driving advancements in these critical fields. His multifaceted expertise and passion for education position him as a pivotal figure in shaping the next generation of tech leaders.

Citations

A total of 17 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         17
  • h-index           25
  • i10-index        02

Notable Publications 

  • Title: Mathematical Modeling of Electrical Power Systems for Fault Detection
    Authors: Mane, P.P., Dhawas, N., Tarambale, M., Kumar, J.R.R., Ajani, S.N.
    Journal: Communications on Applied Nonlinear Analysis
    Year: 2025.
  • Title: Mathematical Approaches to Circuit Optimization in VLSI Design
    Authors: Navandar, R.K., Gosavi, G.V., Palkar, I.M., Dhablia, A., Pawar, A.M.
    Journal: Advances in Nonlinear Variational Inequalities
    Year: 2025.
  • Title: An Energy Efficient Routing Protocol with Fuzzy Neural Networks in Wireless Sensor Network
    Authors: Harihara Gopalan, S., Takale, D.G., Jayaprakash, B., Pandiya Raj, V.
    Journal: Ain Shams Engineering Journal
    Year: 2024.
  • Title: Enhancing Document Summarization with Machine Learning Approaches for Single and Multiple Documents
    Authors: Deshmukh, G.B., Takale, D.G., Gawali, P.P., Patil, S.A., Lahve, R.
    Journal: Lecture Notes in Networks and Systems
    Year: 2024.
  • Title: Optimizing Content-Based Image Retrieval System Using Convolutional Neural Network Models
    Authors: Kashid, S.S., Takale, D.G., Gawali, P.P., Deshpande, A.V., Salve, B.S.
    Journal: Lecture Notes in Networks and Systems
    Year: 2024.

Meena .K | Computer Science | Best Researcher Award

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Prof. Meena .K | Computer Science | Best Researcher Award

GITAM Deemed to be University, India

Author Profile

Early Academic Pursuits 🌱📚

Prof. K. Meena’s academic journey began with a remarkable foundation in science and engineering. She displayed exceptional scholastic aptitude during her school years, achieving 91% in Higher Secondary School (HSC) at Mary Sargent Higher Secondary School, Palayamkottai, and 89% in SSLC at Government Higher Secondary School, Pettai. Her consistent excellence paved the way for her higher education pursuits.Her undergraduate studies culminated in a Bachelor of Engineering (B.E.) in Electronics and Communication Engineering from Jeyamatha Engineering College, Tirunelveli, in 2002, where she graduated with an impressive 82.4% first class with distinction. Driven by a passion for computing, she pursued her Master of Engineering (M.E.) in Computer Science and Engineering at Manonmaniam Sundaranar University, achieving 83.4% first class with distinction in 2009.Prof. Meena’s academic pinnacle came with her Ph.D. in Computer Science and Engineering from the same university in 2014. Her research focused on “Face Recognition under Real-Time Challenges using Texture and Multiresolution Techniques,” a cutting-edge area in biometrics. 🌟

Professional Endeavors 💼🚀

Prof. Meena’s career reflects a steady progression through various academic and administrative roles. She began as a Lecturer at PSN College of Engineering and Technology (2005–2007), where she honed her teaching skills in the Department of Electronics and Communication Engineering.From 2007 to 2013, she served as an Assistant Professor and Head of the Department (HOD) at Sardar Raja College of Engineering, Alangulam. Her leadership skills became evident as she managed departmental activities and mentored students.She continued her role as HOD at J.P. College of Engineering, Alangulam (2013–2014), before transitioning to VV College of Engineering, Tisaiyanvilai, as an Assistant Professor in the Computer Science & Engineering (CSE) Department.In 2016, Prof. Meena joined Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, where she spent over six years as a Professor in CSE. She furthered her career at GITAM University, Bengaluru, first as an Associate Professor (2022–2023) and later as a Professor (2023–present) in the CSE Department. 🏫🎓

Contributions and Research Focus 🔬📖

With over 19 years of research experience, Prof. Meena’s work primarily spans biometrics, computer vision, machine learning, pattern recognition, and computer communication. Her Ph.D. research addressed real-world challenges in face recognition, employing innovative techniques that combined texture and multiresolution methods.Prof. Meena has published more than 80 research articles in reputed international and national journals and conferences. Of these, 19 papers are indexed in prestigious SCI journals, including IET Computer Vision, IETE Journal of Research, and Soft Computing. Her research contributions have significantly advanced areas such as sustainable computing, humanized computing, and medical systems.Her dedication to research is also evident in her guidance of four research scholars, fostering the next generation of innovators in her field. 🧑‍🎓✨

Accolades and Recognition 🏆🎖️

Prof. Meena’s reputation as a researcher and academician has garnered her numerous accolades. She serves as a reviewer for reputed journals, including publications by IET, Inderscience, and Springer.Her affiliations with professional bodies such as IEEE, CSI, ISTE, IAEST, IAENG, SAISE, and IACSIT highlight her commitment to staying at the forefront of technological advancements.

Impact and Influence 🌍🌟

Prof. Meena’s impact extends beyond her immediate academic circles. Her work in biometrics and computer vision contributes to global advancements in security, healthcare, and human-computer interaction. By integrating machine learning with practical applications, she addresses real-world challenges and inspires her peers and students.Her role as a professor and mentor has influenced countless students, instilling in them the skills and confidence to excel in the competitive field of computer science. 🎓💡

Legacy and Future Contributions 🔮🚀

As Prof. Meena continues her academic and research journey, her vision for the future involves exploring emerging areas such as artificial intelligence, deep learning, and sustainable computing. She aims to foster interdisciplinary research and contribute to innovations that address global challenges.Her legacy is built on a foundation of academic excellence, research innovation, and dedicated mentorship. With her unwavering commitment to education and technology, Prof. Meena is set to leave a lasting mark on the field of computer science and engineering. 💻🌐

Citations

A total of 738 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         738
  • h-index           13
  • i10-index        20

Notable Publications 

  • Title: A NLVFF-RLS approach to adaptive beamforming for wireless communication
    Authors: K. Meena, A.P. Kabilan
    Journal/Conference: 2008 International Conference on Computing, Communication and Networking
    Year: 2008.
  • Title: Retraction Note: Smart cataract detection system with bidirectional LSTM
    Authors: B.J.D. Kalyani, U. Hemavathi, K. Meena, B.S. Deepapriya, S. Syed
    Journal: Soft Computing
    Year: 2024.
  • Title: Retraction Note: Analysis of MRI brain tumor images using deep learning techniques
    Authors: B.J.D. Kalyani, K. Meena, E. Murali, L. Jayakumar, D. Saravanan
    Journal: Soft Computing
    Year: 2024.
  • Title: Retraction Note: Performance evaluation of deep learning techniques for lung cancer prediction
    Authors: B.S. Deepapriya, P. Kumar, G. Nandakumar, S. Gnanavel, R. Padmanaban, et al.
    Journal: Soft Computing
    Year: 2024.
  • Title: Retraction Note: Estimating the mortality rate using statistical variance and reduced set of clinical and non-clinical attributes for diagnosing chronic kidney disease
    Authors: K. Meena, A. Vadivel, P. Sumathy, A. Taha Zamani, S.M. Alanazi, N. Varish
    Journal: Soft Computing
    Year: 2024.

Sampathkumar.J | Machine Learning | Young Scientist Award

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Dr. Sampathkumar.J | Machine Learning | Young Scientist Award

Mahendra college of engineering, India

Author Profile

Early Academic Pursuits 🎓📚

J. Sampathkumar’s academic journey began with a solid foundation in technical and general education. He completed his Secondary School Leaving Certificate (SSLC) in 1995 from Nirmala Hr. Sec. School, Kolathur, achieving a commendable score of 64%. This was followed by his Higher Secondary Leaving Certificate (HSLC) in 1997 from Municipal Boys Hr. Sec. School, Palani, where he secured 70%, demonstrating his early inclination towards academics.Driven by a passion for technology, he pursued a Diploma in Electrical and Electronics Engineering (DEIE) from Salem Polytechnic College in 2000, achieving an impressive 81%, which laid the foundation for his engineering aspirations. To further strengthen his knowledge, he earned a Bachelor of Engineering (B.E.) in Electronics and Communication Engineering (ECE) in 2005 from Paavai Engineering College, Namakkal, affiliated with Anna University, where he excelled with a score of 73%. Alongside, he also completed a Bachelor of Computer Applications (BCA) from IGNOU, achieving 61%, showcasing his versatility and commitment to a multidisciplinary education.To diversify his skillset, Sampathkumar pursued an MBA in 2011 via distance education from Madras University, scoring 62%. He further specialized by completing a Master of Engineering (M.E.) in Power Electronics and Drives (PED) in 2013 from Dr. Nagarathinam’s College of Engineering, Mallur, affiliated with Anna University, attaining 68%.

Professional Endeavors 💼🚀

Sampathkumar’s career spans a wide array of roles across various industries, reflecting his adaptability and dedication to professional excellence. He began as a Junior Executive at Right Biz Technologies India Pvt. Ltd., Chennai, in 2006, where he honed his skills in XML-based webpage designing. Transitioning into quality assurance, he worked as a QA Engineer with e-Microdot Solutions Pvt. Ltd., Bangalore (2007) and Pious Infotech Pvt. Ltd., Bangalore (2008–2009), contributing significantly to software testing and quality control.Shifting gears, he took on administrative roles at Nandhi Dall Mills, Salem (2009–2010), and Jaisri Designs, Salem (2010). These positions underscored his organizational skills and ability to manage operational complexities. His transition to academia marked a turning point in his career. From 2010 to 2012, he served as a Lecturer at the Government College of Engineering, Salem, before joining Mahendra College of Engineering, Salem, in 2012 as an Assistant Professor, a role he continues to excel in.

Contributions and Research Focus 🔍📈

As an educator and researcher, Sampathkumar has demonstrated unwavering dedication to empowering students with knowledge and fostering innovation. His teaching methodologies combine theoretical insights with practical applications, particularly in Power Electronics and Drives (PED), a field in which he holds a master’s degree. His research interests include electronic circuit design, sustainable power systems, and engineering education methodologies, aiming to contribute to the advancement of technology for societal benefit.Through active engagement in academic activities, Sampathkumar has guided numerous students in their project work and has participated in departmental initiatives to enhance the quality of education. His efforts in bridging the gap between industry practices and academic knowledge have been instrumental in preparing students for professional challenges.

Accolades and Recognition 🏆✨

Sampathkumar’s career is adorned with milestones that reflect his professional competence and dedication. While working across various organizations, he was recognized for his meticulous work ethic and problem-solving skills. His transition to academia brought additional accolades for his teaching excellence and ability to inspire students. As a respected faculty member at Mahendra College of Engineering, he is appreciated for his contributions to student development and curriculum enhancement.

Impact and Influence 🌟📖

In his capacity as an Assistant Professor, Sampathkumar has played a vital role in shaping the minds of future engineers. His multidisciplinary background enables him to provide a holistic learning experience, encouraging students to think critically and innovate. His administrative experience further allows him to contribute to the efficient functioning of academic institutions, ensuring the delivery of quality education.

Legacy and Future Contributions 🌍🔮

Looking ahead, Sampathkumar aspires to expand his impact on engineering education and research. By staying abreast of technological advancements and integrating emerging tools into his teaching, he envisions creating a more robust and dynamic learning environment. He also plans to engage in collaborative research to address pressing global challenges in the fields of energy systems and sustainable development.Sampathkumar’s dedication to continuous learning and sharing knowledge serves as an inspiration to students and colleagues alike. His enduring contributions to academia and industry are a testament to his commitment to excellence and innovation, leaving a lasting legacy for generations to come. 🌟

Notable Publications

  • Smart Oil Extraction System with Customer and Owner Modes
    • Authors: DJ Sampathkumar, S. Saran, P. Gokul, N. Gowtham
    • Conference: 6th International Conference on Recent Innovations in Science and Technology
    • Year: 2024.
  • Smart Oil Extraction System with Customer and Owner Modes
    • Authors: MSP Dr. J. Sampathkumar, Mr. S. Saran, Mr. P. Gokul, Mr. N. Gowtham
    • Journal: International Journal of Innovative Research in Technology, Volume 10, Issue 12, Pages 198-202
    • Year: 2024.
  • Online Physio Therapy System Using the IoT and Human Gaits Analysis
    • Authors: DJR Dr. J. Sampathkumar
    • Journal: International Journal of Research and Analytical Reviews (IJRAR), Volume 10, Issue 3, Pages 950-957
    • Year: 2023.
  • HELP-WSN-A Novel Adaptive Multi-Tier Hybrid Intelligent Framework for QoS Aware WSN-IoT Networks
    • Authors: J. Sampathkumar, N. Malmurugan
    • Journal: Computers, Materials & Continua, Volume 71, Issue 2, Pages 2107-2123
    • Year: 2022.
  • 3-D Based Brain Tumor Detection Using (DL) Deep Learning and Image Processing Approach
    • Authors: Mr. J. Sampathkumar, Dr. M. Suganthi, Mr. D. Balaji
    • Patent: IN Patent 202141060315
    • Year: 2021.

Nilamadhab Mishra | Artificial Intelligence | Best Researcher Award

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Dr. Nilamadhab Mishra | Artificial Intelligence | Best Researcher Award

VIT Bhopal University, India

Author Profile

Early Academic Pursuits 🎓📘

Dr. Nilamadhab Mishra, often referred to as Dr. N. Mishra, embarked on his academic journey with a strong foundation in computer science and engineering, leading him to pursue his Doctor of Philosophy (Ph.D.) in Computer Science & Information Engineering. He specialized in the field of Data Science and Machine Learning, which laid the groundwork for his future research and professional pursuits. His Ph.D. was awarded by Chang Gung University (CGU) in Taiwan, a well-regarded institution ranked in the 601-800 bracket in the Times Higher Education World University Rankings (2016) and positioned at 429 in the QS World University Rankings the same year. This esteemed academic environment at CGU provided Dr. Mishra with valuable exposure and contributed significantly to his evolving expertise in AI and machine learning.

Professional Endeavors 🏫🔬

With over 22 years of experience spanning academia and research across India, Taiwan, and Africa, Dr. Mishra has significantly impacted both national and international institutions. Currently, he serves as an Associate Professor in the School of Computer Science and Engineering, specifically within the AI-ML Division, at VIT Bhopal University in India. His teaching roles have encompassed diverse computer science topics, while his dedication to research has led him to work on multiple funded projects from Taiwan’s Ministry of Science and Technology (MOST), the National Science Council (NSC), and Chang Gung University Memorial Hospital. These projects allowed him to explore complex, real-world challenges within the fields of artificial intelligence, data science, and machine learning, all of which are central to his ongoing professional focus.In addition to his academic roles, Dr. Mishra has contributed his expertise to several notable professional organizations. He is a Life Member of the Computer Society of India (CSI), a Fellow Member of the International Society for Research and Development (ISRD), and a Senior Member of both the Asia Society of Researchers (ASR) and the International Economics Development and Research Center (IEDRC), both based in Hong Kong. His international affiliations reflect his deep commitment to staying connected with the global research community, enhancing his academic and professional insights.

Contributions and Research Focus 🔍📊

Dr. Mishra’s research primarily revolves around artificial intelligence (AI), data science, and machine learning, with an emphasis on cognitive application modeling. His scholarly work includes over 50 publications in highly regarded SCI/SCIE and SCOPUS-indexed journals, book chapters, Indian and Australian patents, and IEEE conference proceedings. His impressive publication record has positioned him as a thought leader in his field. As an active researcher, he has also taken on roles as a reviewer, associate editor, and editorial board member for several SCI/SCIE-indexed journals and conferences, further broadening his impact in the academic community.Through his Ph.D. research, Dr. Mishra contributed significantly to several funded research projects aimed at advancing medical and scientific knowledge, particularly in collaboration with CGU Memorial Hospital. His work on data-driven insights and predictive models has applications in healthcare and other sectors, highlighting the transformative potential of machine learning and data science to solve complex societal issues.

Accolades and Recognition 🏆📜

Dr. Mishra’s dedication to excellence in his field has earned him numerous accolades. In 2018, he was recognized as a “Top Author” on PubFacts.com, and his name was recorded in the prestigious World Book of Researchers, published in Oxford, United Kingdom. His international recognition extends to his status as an Associate Editor for two SCOPUS-indexed journals, a position that underscores his expertise in evaluating cutting-edge research.Further distinguishing his career is his qualification in the Test of English as an International Communication (TOEIC), demonstrating his proficiency in engaging with the global academic and professional community. His inclusion in the World Book of Researchers and his recognition by PubFacts.com reflect his influential presence and active contribution to the research world.

Impact and Influence 🌎📈

Dr. Mishra’s impact is evident in his prolific body of research, his commitment to teaching, and his active role in academic service. His publications in high-impact journals have influenced the fields of AI, machine learning, and data science, inspiring other researchers and contributing to advancements in technology and science. As an Associate Professor, he mentors the next generation of computer scientists, instilling in them both technical knowledge and a passion for research. His influence extends beyond the classroom through his involvement in professional organizations, where he collaborates with researchers from around the globe to advance scientific understanding.Additionally, his membership in organizations such as ORCID, IEEE Collabratec, and the International Association of Engineers (IAENG) highlights his dedication to continuous learning and professional development. These platforms allow him to exchange ideas with other experts, stay abreast of the latest technological advancements, and integrate this knowledge into his teaching and research.

Legacy and Future Contributions 🌠📅

As Dr. Mishra continues to contribute to the fields of AI, machine learning, and data science, his work will undoubtedly leave a lasting legacy. His dedication to advancing these fields has already established him as a respected figure in academia, and his ongoing research promises to push the boundaries of what is possible in cognitive application modeling and data-driven decision-making. His legacy also includes his contributions to professional organizations and his mentorship of students, both of which ensure that his impact will resonate with future generations of researchers and engineers.Looking ahead, Dr. Mishra aims to deepen his research in machine learning and AI applications, potentially exploring their intersections with cognitive science and healthcare. His future contributions promise to enhance our understanding of these technologies and their potential to address global challenges. Through his dedication to research, teaching, and mentorship, Dr. Mishra is well-positioned to continue making meaningful contributions to the academic and scientific communities for years to come.

Citations

A total of 323 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         323
  • h-index           64
  • i10-index        10

Notable Publications 

  • Title: Hybrid optimization enabled squeeze net for phishing attack detection
    Authors: Kamble, N., Mishra, N.
    Journal: Computers and Security
    Year: 2024.
  • Title: A blockchain-based deep learning system with optimization for skin disease classification
    Authors: Rokade, S., Mishra, N.
    Journal: Biomedical Signal Processing and Control
    Year: 2024.
  • Title: Unveiling the effectiveness of ML models for predicting Forex trends: An AI-ML-driven service into trade marketing
    Authors: Sodha, M., Nayak, R.K., Mishra, N., Tripathy, R., Singh, H.
    Book Chapter: AI Innovations in Service and Tourism Marketing
    Year: 2024.
  • Title: QHopNN: investigating quantum advantage in cryptanalysis using a quantum hopfield neural network
    Authors: Hariharasitaraman, S., Mishra, N., Vishnuvardhanan, D.
    Journal: Physica Scripta
    Year: 2024.
  • Title: PD-DETECTOR: A sustainable and computationally intelligent mobile application model for Parkinson’s disease severity assessment
    Authors: Mishra, S., Jena, L., Mishra, N., Chang, H.-T.
    Journal: Heliyon
    Year: 2024.