Syed Abrar Ahmed | Optical Communication | Best Researcher Award

Published on by Research Data Analysis

Mr. Syed Abrar Ahmed | Optical Communication | Best Researcher Award

Presidency University | India

Mr. Syed Abrar Ahmed is an Assistant Professor in the Department of Electronics and Communication Engineering at Presidency University, Bangalore, with over 14 years of academic experience. He holds an M.Tech in VLSI Design and Embedded Systems from Dr. Ambedkar Institute of Technology, Bangalore, under Visvesvaraya Technological University (VTU), and a B.E. in Electronics and Communication Engineering from Ghousia College of Engineering, Ramanagaram. His teaching expertise spans Network Analysis, Embedded System Design, Microcontrollers, Microprocessors, and Analog and Digital Electronics. His research contributions focus on embedded systems, Internet of Things (IoT), machine learning applications in cognitive radio, and assistive technologies for visually impaired individuals. He has published conference papers, journal articles, and a book chapter, including contributions to Scopus-indexed proceedings and reputed journals such as the International Journal of Recent Technology and Engineering. He has guided numerous undergraduate projects in microcontrollers, robotics, IoT, GSM/GPS systems, and FPGA-based designs, and has actively participated in faculty development programs, workshops, and seminars on advanced topics. His career is distinguished by dedication to academic excellence, innovation in teaching, and contributions to emerging fields in electronics and communication engineering.

Profiles : Scopus | Orcid

Featured Publications

“QML-Based Abstraction Techniques for Predictive Modeling in Banking”

“Performance analysis of a PPM-OOK based hybrid modulation scheme for Satellite-to-Underwater FSO communication”

“Decision Tree Based 5modular Redundancy Algorithm for Fault Identification in Full Adder Circuit”

“5G’s Impact on the Evolution of Smart Cities”

“Multifunctional Frequency Management With 5g Cognitive Networking”

“A Glimpse of the 5G-Enabled Modern City”

“Third Eye A Writing Aid for Visually Impaired People”

Muhammad Saddam Khokhar | Data Representation | Best Researcher Award

Published on by Research Data Analysis

Dr. Muhammad Saddam Khokhar | Data Representation | Best Researcher Award

Yangzhou University | China

Dr. Muhammad Saddam Khokhar is an accomplished academic and researcher specializing in generative artificial intelligence and computer vision. With over a decade of teaching, research, and leadership experience, he has made significant contributions to artificial intelligence, quantum computing, and deep learning. His expertise spans across developing innovative AI-driven solutions, managing academic programs, and mentoring research scholars at undergraduate, postgraduate, and doctoral levels. As an assistant professor and former department chairman, he has been instrumental in advancing artificial intelligence education, accreditation processes, and research-driven innovation in multiple institutions internationally.

Professional Profiles

ORCID

GOOGLE SCHOLAR

Education

Dr. Khokhar earned his Doctorate in Computer Application Technology from Jiangsu University, China, where his dissertation focused on nonlinear optimization and dimensional reduction using advanced Spearman correlation analysis integrated with deep learning models. His research was recognized with an excellent dissertation award for its innovative methodologies. He also holds a Master’s degree in Computer Science and Information Technology with a focus on machine learning, data mining, and software project management, as well as a Bachelor’s degree in Software Engineering, where he developed strong expertise in artificial intelligence, software architecture, and advanced programming techniques.

Experience

With extensive academic and professional experience, Dr. Khokhar has served in multiple teaching and research roles, including Assistant Professor at the College of Artificial Intelligence, Yangzhou University, and Postdoctoral Fellow at the College of Software Engineering, focusing on generative AI projects. He has also chaired the Department of Artificial Intelligence at Dawood University of Engineering and Technology and contributed to curriculum development, laboratory design, and accreditation processes for AI and quantum computing programs. Earlier in his career, he held lecturer positions at leading Pakistani universities and worked as a software engineer, gaining industry insights that enriched his academic pursuits.

Research Interests

His research primarily focuses on generative artificial intelligence, computer vision, deep learning, and nonlinear optimization techniques. Dr. Khokhar has developed innovative models leveraging Spearman correlation analysis for medical image processing, robotic vision, traffic surveillance, and multi-camera monitoring systems. His recent projects explore lightweight generative adversarial networks (IoTGAN), hybrid attention-driven generative frameworks, and blockchain-based secure election systems. He has also actively contributed to discussions on artificial general intelligence, metaverse technologies, and ethical implications of AI in modern societies through various publications and invited talks.

Awards

Dr. Khokhar has been recognized with several prestigious awards for his contributions to innovation, research, and academic excellence. These include the Best Innovation Award for developing a revolutionary AI platform for gene editing and medical technology, multiple academic achievement awards during his doctoral studies, and accolades in application development and research competitions. His work has been published in high-impact journals and presented at international conferences, showcasing his commitment to advancing cutting-edge AI research and practical solutions for global challenges.

Publications

Muhammad Saddam Khokhar, Misbah Ayoub, Zakria, Abdullah Lakhan. (2025). “Advanced Nonlinear Optimization of Low- and High-Resolution Medical Images Using Adaptive Deep Spearman Correlation Analysis (D-SCA) for Pattern Sequence Recognition.” Applied Soft Computing.

Muhammad Saddam Khokhar. (2025). “Energy Harvesting in IoT, Fog, and Blockchain–Thermoelectric Cooling Innovations.”

Muhammad Saddam Khokhar. (2025). “Health Coin: Revolutionizing Global Healthcare with Green Blockchain Technology.”

Zakria Zakria, Jianhua Deng, Rajesh Kumar, Muhammad Saddam Khokhar, Jingye Cai, Jay Kumar. (2022). “Multiscale and Direction Target Detecting in Remote Sensing Images via Modified YOLO-v4.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Abdullah Lakhan, Qurat-ul-ain Mastoi, Mazhar Ali Dootio, Fehaid Alqahtani, Ibrahim R. Alzahrani, Fatmah Baothman, Syed Yaseen Shah, Syed Aziz Shah, Nadeem Anjum, Qammer Hussain Abbasi, et al. (2021). “Hybrid Workload Enabled and Secure Healthcare Monitoring Sensing Framework in Distributed Fog-Cloud Network.” Electronics.

Abdullah Lakhan, Mazhar Ali Dootio, Tor Morten Groenli, Ali Hassan Sodhro, Muhammad Saddam Khokhar. (2021). “Multi-Layer Latency Aware Workload Assignment of E-Transport IoT Applications in Mobile Sensors Cloudlet Cloud Networks.” Electronics.

Conclusion

Dr. Muhammad Saddam Khokhar embodies a dynamic blend of academic rigor, innovative research, and leadership in the field of artificial intelligence. His career reflects a commitment to advancing AI education, developing impactful technologies, and contributing to global scientific knowledge. Through his research, publications, and mentorship, he continues to inspire the next generation of AI professionals while fostering interdisciplinary collaborations that bridge technology with societal advancement.

Viwe Notole | Augmented Analytics | Best Researcher Award

Published on by Research Data Analysis

Mr. Viwe Notole | Augmented Analytics | Best Researcher Award

University of the Witwatersrand | South Africa

Mr. Viwe Notole is an emerging geoscientist and data analyst whose academic and professional journey reflects a strong dedication to Earth sciences, mining, and geometallurgy. With a foundation built through advanced studies at the University of Fort Hare, University of Johannesburg, and the University of the Witwatersrand, he has developed expertise across geology, mineralogy, geostatistics, and machine learning applications in geosciences. His career aspiration is to contribute meaningfully to the mining and geoscience sectors through innovative research, data-driven approaches, and applied geological solutions that support both industry development and sustainable resource management.

Professional Profile

SCOPUS

Education

Mr. Notole has pursued a comprehensive academic trajectory in geology and mineral sciences. He began his studies with a Bachelor of Science degree in Geology and Chemistry at the University of Fort Hare, where he built the scientific foundation for his career. Advancing further, he completed a B.Sc. Honours in Geology at the University of Johannesburg, refining his technical and analytical skills in applied geosciences. His passion for mineralogy and mining processes led him to the University of the Witwatersrand, where he obtained a Master of Science in Economic Geology with research focused on the mineralogy and processing characteristics of the Elsburg Reefs in the South Deep Gold Mine of South Africa. Currently, he is a doctoral candidate in the field of Geometallurgy at the University of the Witwatersrand, where his research integrates advanced mineral characterization, geostatistics, and metallurgical evaluation to optimize mineral recovery and processing techniques.

Experience

Mr. Notole’s professional experience reflects a blend of field geology, laboratory-based mineral analysis, and applied data analytics. At Umvoto Africa in Cape Town, he worked as a Junior Geologist where he contributed to geological and hydrogeological projects through data acquisition, processing, and interpretation. His responsibilities included supervising borehole drilling and test pumping, conducting geotechnical site investigations, supporting GIS-related tasks, and performing data analysis and visualization for project outcomes. He later joined Mintek, a leading mineral research organization in Randburg, as a Mineralogist Intern. There, he honed his technical skills in mineral characterization using advanced techniques such as X-Ray Diffraction (XRD), Scanning Electron Microscopy (SEM), and QEMSCAN technology. These roles equipped him with a strong interdisciplinary skillset that spans mineral exploration, hydrogeology, mineral processing, and data science applications in the mining industry.

Research Interest

His research interests are primarily centered on economic geology, geometallurgy, and the integration of data analytics into mineral processing. Mr. Notole focuses on investigating the mineralogical and processing characteristics of gold-bearing reefs, with the aim of improving mineral recovery processes. His interests extend to diagnostic leaching, mineral characterization techniques, geostatistical modeling, and the application of machine learning to predict metallurgical performance. By combining traditional geological expertise with modern computational methods, he aims to bridge the gap between field-based geological sciences and advanced data-driven resource optimization. He is particularly passionate about exploring environmentally friendly processing alternatives, such as glycine-based leaching, to support sustainable mining practices.

Awards and Achievements

Among his academic accomplishments, Mr. Notole was formally admitted to the degree of Master of Science in Economic Geology by the University of the Witwatersrand, marking a significant milestone in his scholarly journey. His upcoming publications reflect his commitment to advancing research in geometallurgy, with studies exploring predictive data analytics for gold recovery and innovative leaching techniques using glycine and potassium permanganate. These contributions highlight his role as a young researcher actively pushing the boundaries of mineral processing technologies and sustainable mining practices.

Publication

(2025). “Investigating mineral composition of PGE low-grade ore in Bushveld Igneous Complex, South Africa” in Minerals Engineering.

Conclusion

Mr. Viwe Notole exemplifies the new generation of geoscientists who combine deep geological knowledge with data-driven approaches to solve contemporary challenges in mining and resource management. His academic background, professional experience, and active research contributions position him as a promising figure in the fields of geometallurgy, mineral processing, and applied geosciences. Driven by innovation, sustainability, and the pursuit of scientific excellence, he continues to advance his career with the vision of making a lasting impact on the mining industry and the broader geoscientific community.

Rajesh Kumar Chaudhary | Artificial Intelligence | Best Researcher Award

Published on by Research Data Analysis

Mr. Rajesh Kumar Chaudhary | Artificial Intelligence | Best Researcher Award

Thapar Institute of Engineering and Technology | India

Mr. Rajesh Kumar Chaudhary is a dedicated and result-oriented academician, serving as an Assistant Professor in the Department of Computer Science and Engineering. With over five years of academic and research experience, he has established expertise in clustered federated learning, wireless sensor networks, nature-inspired optimization algorithms, and privacy-preserving distributed artificial intelligence. His professional journey reflects a blend of strong teaching acumen, impactful research contributions, and a commitment to student mentorship. By integrating cutting-edge research with pedagogical innovation, he has significantly contributed to both the academic and practical realms of computer science. His scholarly work has been published in leading international journals, positioning him as an emerging voice in the domain of distributed and intelligent systems.

Education

Mr. Chaudhary holds a solid academic foundation in Computer Science and Engineering. He is currently pursuing a doctoral degree in the discipline from a reputed institute, with his research focusing on advancing clustered federated learning through nature-inspired optimization techniques and privacy-preserving mechanisms. Prior to his doctoral studies, he completed a Master of Technology in Computer Science and Engineering from a recognized university, where he specialized in developing optimization-based solutions for networked systems. His undergraduate studies in Computer Science and Engineering laid the groundwork for his expertise in networking, algorithms, and distributed computing. His academic trajectory has been characterized by consistent excellence, deep engagement with emerging technologies, and a passion for continuous learning.

Experience

Mr. Chaudhary has served as an Assistant Professor in the Department of Computer Science and Engineering at a well-regarded university, where he played a pivotal role in both academic delivery and extracurricular technical initiatives. He has taught core and advanced subjects including Computer Networks, Cryptography, Theory of Automata, and Operating Systems. Beyond classroom teaching, he has supervised multiple student research projects in clustered federated learning, wireless sensor networks, and optimization algorithms, guiding them toward impactful academic outputs. He has also organized workshops, industrial training programs, and technical seminars to bridge the gap between academic knowledge and industry expectations. Recognized for his commitment to institutional development, he has twice received the Best Training Coordinator award for his exceptional coordination of student training and placement activities.

Research Interest

Mr. Chaudhary’s research interests encompass a range of advanced computing topics, with a central focus on clustered federated learning (CFL) — an emerging paradigm in distributed artificial intelligence. He is particularly interested in integrating nature-inspired optimization algorithms, such as grey wolf optimization, real-coded genetic algorithms, and artificial bee colony optimization, to enhance the performance, scalability, and efficiency of CFL systems. His work also delves into privacy-preserving machine learning frameworks, aiming to ensure data security while maintaining high accuracy in distributed environments. Additionally, his research contributions to wireless sensor networks include the development and optimization of energy-efficient communication protocols, making significant strides toward sustainable IoT deployments. His scholarly output in reputed IEEE and Springer journals reflects both depth and breadth in these domains, combining theoretical rigor with practical applicability.

Awards

In recognition of his professional excellence, Mr. Chaudhary has been honored with multiple accolades. He was awarded the Best Training Coordinator on two occasions for his outstanding contributions to student training programs. His postgraduate studies were marked by top academic performance, earning him institutional recognition for his achievements. He has also been acknowledged for his contributions to sports, having represented his district in senior state-level football championships. Furthermore, his research dissemination activities, including paper presentations at national conferences, highlight his active engagement with the wider academic community.

Publications

Review paper on energy-efficient protocols in wireless sensor networks

Authors: R Chaudhary, S Vatta, P No
Journal: IOSR Journal of Engineering 4 (02), 01-07
Year: 2014

A tutorial of routing protocols in wireless sensor networks

Authors: R Chaudhary, DS Vatta
Journal: International Journal of Computer Science and Mobile Computing 3 (6), 971-979
Year: 2014

Performance optimization of WSN using deterministic energy efficient clustering protocol: A review

Authors: R Chaudhary, S Vatta
Journal: International Organization of Scientific Research Journal of Engineering 4 …
Year: 2014

A systematic review on federated learning system: a new paradigm to machine learning

Authors: RK Chaudhary, R Kumar, N Saxena
Journal: Knowledge and Information Systems 67 (2), 1811-1914
Year: 2025

Enhancing clustered federated learning using artificial bee colony optimization algorithm for consumer IoT devices

Authors: RK Chaudhary, R Kumar, K Aurangzeb, J Bedi, MS Anwar, A Choi
Journal: IEEE Transactions on Consumer Electronics
Year: 2024

Ameliorating clustered federated learning using real-coded genetic algorithm

Authors: RK Chaudhary, R Kumar, N Saxena
Journal: Cluster Computing 28 (6), 1-18
Year: 2025

Ameliorating clustered federated learning using grey wolf optimization algorithm for healthcare IoT devices

Authors: RK Chaudhary, R Kumar, N Saxena
Journal: The Journal of Supercomputing 81 (8), 976
Year: 2025

Conclusion

Mr. Rajesh Kumar Chaudhary exemplifies the qualities of a committed educator, innovative researcher, and proactive mentor. His expertise in clustered federated learning, optimization algorithms, and privacy-preserving distributed AI positions him at the forefront of technological advancements in distributed computing systems. With a career that blends academic excellence, impactful research, and active student engagement, he continues to contribute to the development of intelligent, secure, and efficient computing frameworks. His vision aligns with the future of intelligent systems, where collaborative machine learning and optimization strategies will play a crucial role in shaping secure and high-performance applications across domains.

Ankita Debnath | Healthcare Data Analysis | Young Scientist Award

Published on by Research Data Analysis

Ms. Ankita Debnath | Healthcare Data Analysis | Young Scientist Award

ILS Nursing Institute | India

AUTHOR  PROFILE

Scopus

CURRENT POSITION

Ms. Ankita Debnath is currently working as a Full-Time Assistant Professor at the ILS Nursing Institute, Agartala, Tripura, a position she has held since 22nd April 2019. Alongside her academic role, she is pursuing a Part-Time Ph.D. in Nursing from Desh Bhagat University, Punjab, which she commenced in 2020 and is expected to submit her thesis within the next two months.

SUMMARY

Ms. Debnath is a dedicated and ambitious nursing professional with over six years of teaching experience and a strong clinical background. She possesses excellent communication skills, leadership qualities, and a strong commitment to continuous learning and academic development. She has contributed significantly to academic research, student mentoring, and clinical training, and has been actively involved in scientific publications and national/international conferences.

EDUCATIONAL QUALIFICATIONS

Ms. Debnath holds a Master of Science in Medical-Surgical Nursing with Distinction (79.41%) from Rajiv Gandhi University of Health Sciences, completed in 2018. She earned her Bachelor of Science in Nursing from Gauhati University in 2014, securing 65.53%. Her earlier education includes a Higher Secondary qualification from TBSE in 2009 (66%) and Madhyamik from TBSE in 2007 (84.5%). She is currently a Ph.D. Research Scholar (Part-Time) at Desh Bhagat University, Punjab (2020 batch).

PROFESSIONAL EXPERIENCE

Ms. Debnath began her clinical career as a Staff Nurse at Mahanam Seva Sadan Nursing Home, Tripura, in 2014, followed by a tenure at the BM Birla Heart Research Centre, Kolkata, in the High Dependency Unit (HDU) from 2015 to 2016. She transitioned to academics in 2019 at ILS Nursing Institute, where she has been serving as an Assistant Professor and SNA Unit Advisor for over six years.

RESEARCH INTERESTS

Her primary research interests include postoperative care, complementary therapies, pain management, quality of life in cancer patients, and nursing education interventions. Her M.Sc. dissertation focused on the “Effectiveness of supportive educational intervention on pain and physical function among patients undergone abdominal surgery“, and her Ph.D. research aligns with similar themes in clinical nursing.

RESEARCH AND PUBLICATIONS

Ms. Debnath has co-authored three peer-reviewed journal articles, including a recent publication in the Egyptian Journal of Medical Human Genetics (2025) and the Journal of Cancer Biology (2025). One of her key publications, focusing on supportive educational intervention in abdominal surgery patients, has been accepted in the International Journal of Caring Sciences. Her work reflects a strong inclination toward evidence-based practice and patient-centered care.

PUBLICATION

Effectiveness of a supportive educational intervention on pain and physical function among patients undergone abdominal surgery: A randomized controlled trial

Author(s): Venkatesan Balu, Sukanta Nath, Ankita Debnath

Journal: International Journal of Caring Sciences

Year: 2025 (Accepted)

 Effectiveness of comprehensive nursing intervention on alleviating postoperative fatigue and anxiety in patients with oral cancer

Author(s): Sukanta Nath, K. Falwaria, S. Debbarma, M. Pattnaik, Ankita Debnath

Journal: Journal of Cancer Biology

Year: 2025

Molecular epidemiology and genotype distribution of genital high-risk human papillomavirus among women in North–East India

Author(s): Jayanta Ray, Jaharlal Baidya, Dhruba P Paul, Gautam Majumdar, Shiromani Debbarma, Atanu Sarkar, Manidipa Chakma, Manash P Barman, Matrujyoti Pattnaik, Ankita Debnath, Sukanta Nath

Journal: Egyptian Journal of Medical Human Genetics

Year: 2025

 A Study to Assess the Effectiveness of Nursing Interventions on Anxiety among Postoperative Oral Cancer Patients Admitted in Regional Cancer Centre, Tripura, India

Author(s): Sukanta Nath, Matrujyoti Pattnaik, Ankita Debnath

Journal: Journal of Healthcare Nursing Research

Year: 2025

Importance of Nursing Intervention in Alleviating Post-Surgical Fatigue for Patients with Oral Cancer

Author(s): Sukanta Nath, Matrujyoti Pattnaik, Ankita Debnath

Journal: Journal of Medical-Surgical Nursing Practice and Research

Year: 2025

Ankita Debnath | Healthcare Data Analysis | Women Researcher Award

Published on by Research Data Analysis

Ms. Ankita Debnath | Healthcare Data Analysis | Women Researcher Award

ILS Nursing Institute | India

AUTHOR  PROFILE

Scopus

CURRENT POSITION

Ms. Ankita Debnath is currently working as a Full-Time Assistant Professor at the ILS Nursing Institute, Agartala, Tripura, a position she has held since 22nd April 2019. Alongside her academic role, she is pursuing a Part-Time Ph.D. in Nursing from Desh Bhagat University, Punjab, which she commenced in 2020 and is expected to submit her thesis within the next two months.

SUMMARY

Ms. Debnath is a dedicated and ambitious nursing professional with over six years of teaching experience and a strong clinical background. She possesses excellent communication skills, leadership qualities, and a strong commitment to continuous learning and academic development. She has contributed significantly to academic research, student mentoring, and clinical training, and has been actively involved in scientific publications and national/international conferences.

EDUCATIONAL QUALIFICATIONS

Ms. Debnath holds a Master of Science in Medical-Surgical Nursing with Distinction (79.41%) from Rajiv Gandhi University of Health Sciences, completed in 2018. She earned her Bachelor of Science in Nursing from Gauhati University in 2014, securing 65.53%. Her earlier education includes a Higher Secondary qualification from TBSE in 2009 (66%) and Madhyamik from TBSE in 2007 (84.5%). She is currently a Ph.D. Research Scholar (Part-Time) at Desh Bhagat University, Punjab (2020 batch).

PROFESSIONAL EXPERIENCE

Ms. Debnath began her clinical career as a Staff Nurse at Mahanam Seva Sadan Nursing Home, Tripura, in 2014, followed by a tenure at the BM Birla Heart Research Centre, Kolkata, in the High Dependency Unit (HDU) from 2015 to 2016. She transitioned to academics in 2019 at ILS Nursing Institute, where she has been serving as an Assistant Professor and SNA Unit Advisor for over six years.

RESEARCH INTERESTS

Her primary research interests include postoperative care, complementary therapies, pain management, quality of life in cancer patients, and nursing education interventions. Her M.Sc. dissertation focused on the “Effectiveness of supportive educational intervention on pain and physical function among patients undergone abdominal surgery“, and her Ph.D. research aligns with similar themes in clinical nursing.

RESEARCH AND PUBLICATIONS

Ms. Debnath has co-authored three peer-reviewed journal articles, including a recent publication in the Egyptian Journal of Medical Human Genetics (2025) and the Journal of Cancer Biology (2025). One of her key publications, focusing on supportive educational intervention in abdominal surgery patients, has been accepted in the International Journal of Caring Sciences. Her work reflects a strong inclination toward evidence-based practice and patient-centered care.

PUBLICATION

Effectiveness of a supportive educational intervention on pain and physical function among patients undergone abdominal surgery: A randomized controlled trial

Author(s): Venkatesan Balu, Sukanta Nath, Ankita Debnath

Journal: International Journal of Caring Sciences

Year: 2025 (Accepted)

 Effectiveness of comprehensive nursing intervention on alleviating postoperative fatigue and anxiety in patients with oral cancer

Author(s): Sukanta Nath, K. Falwaria, S. Debbarma, M. Pattnaik, Ankita Debnath

Journal: Journal of Cancer Biology

Year: 2025

Molecular epidemiology and genotype distribution of genital high-risk human papillomavirus among women in North–East India

Author(s): Jayanta Ray, Jaharlal Baidya, Dhruba P Paul, Gautam Majumdar, Shiromani Debbarma, Atanu Sarkar, Manidipa Chakma, Manash P Barman, Matrujyoti Pattnaik, Ankita Debnath, Sukanta Nath

Journal: Egyptian Journal of Medical Human Genetics

Year: 2025

 A Study to Assess the Effectiveness of Nursing Interventions on Anxiety among Postoperative Oral Cancer Patients Admitted in Regional Cancer Centre, Tripura, India

Author(s): Sukanta Nath, Matrujyoti Pattnaik, Ankita Debnath

Journal: Journal of Healthcare Nursing Research

Year: 2025

Importance of Nursing Intervention in Alleviating Post-Surgical Fatigue for Patients with Oral Cancer

Author(s): Sukanta Nath, Matrujyoti Pattnaik, Ankita Debnath

Journal: Journal of Medical-Surgical Nursing Practice and Research

Year: 2025

Salma A – Fluid Dynamics – Best Researcher Award 

Published on by Research Data Analysis

Dr. Salma A - Fluid Dynamics - Best Researcher Award 

Reva University - India

Author Profile 

Early Academic Pursuits

Dr. Salma A embarked on her academic journey with a Bachelor's degree in Science from KGF First Grade College, Bangalore University, in 2006, achieving an impressive aggregate of 86.1%. She further pursued a Master's in Mathematics at Central College, Bangalore University, graduating with distinction in 2008 with an aggregate of 89.8%. Her academic prowess continued with the completion of a Ph.D. from EPCET, VTU, in 2019, focusing on Magnetohydrodynamic Lubrication of Curved Circular Plates with Couple Stress Fluid.

Professional Endeavors

With a cumulative teaching experience of 15 years in various engineering colleges and universities, Dr. Salma A has made significant contributions to the field of mathematics. Her journey includes roles as an Assistant Professor in REVA University, Bangalore, and Sapthagiri College of Engineering, Bangalore, and as a Lecturer in M.S Engineering College, Sadahalli, and Bangalore.

Contributions and Research Focus

Dr. Salma A's research focuses on Fluid Dynamics, Lubrication Theory, and Magnetohydrodynamics. She has published 18 research articles in reputed international journals and actively participated in national and international conferences. Notably, her research encompasses topics such as the effects of surface roughness, MHD, and couple stress on squeeze film characteristics between curved circular plates.

Accolades and Recognition

Her dedication and contribution to research have been acknowledged with the Best Researcher Award from REVA University in 2021. Additionally, Dr. Salma A secured the 2nd rank (89.8%) in M.Sc. Mathematics from Bangalore University in 2009.

Impact and Influence

As an Associate Professor in the Department of Mathematics at REVA University, Dr. Salma A has played a pivotal role in shaping the academic environment. Her involvement as the NAAC Coordinator and ARIIA & NIRF Coordinator reflects her commitment to academic quality and institutional rankings.

Legacy and Future Contributions

Dr. Salma A has established herself as a guiding force in research, supervising both M.Sc. and Ph.D. projects in diverse areas of fluid dynamics. Her publications, ranging from the study of magnetohydrodynamic lubrication to the effects of non-Newtonian ferrofluid on squeeze film performance, showcase the breadth of her research contributions. As she continues to lead conferences, committees, and research endeavors, her legacy is one of academic excellence and a commitment to pushing the boundaries of mathematical understanding. In the future, her contributions are likely to further enrich the field of Fluid Dynamics and Magnetohydrodynamics.

Notable  Publications 

 

Huan Rong | Best Researcher Award | Data Analysis Innovation

Published on by Research Data Analysis

Huan Rong - Nanjing University of Information Science and Technology - Data Analysis Innovation🏆

Prof Huan Rong : Data Analysis Innovation

Professional profile:

Early Academic Pursuits:

Prof. Huan Rong embarked on his academic journey at Nanjing University of Information Science and Technology (NUIST), China. He earned his Bachelor's, Master's, and Ph.D. degrees in Computer Science from NUIST between 2009 and 2020. His academic progression demonstrated his commitment to computer science, setting the foundation for his subsequent research endeavors.

Professional Endeavors:

Following his educational journey, Prof. Huan Rong entered the professional realm by joining TrendMicro, CN as a Software Developer from 2016 to 2017. His practical experience outside academia enriched his skill set and provided a different perspective on software development and its applications.

Prof. Huan Rong then transitioned back to NUIST, initially as a Lecturer from 2020 to 2023 and subsequently as an Associate Professor from 2023 onwards. These roles marked his dedication to academia, where he delved deeper into research, mentorship, and shaping future professionals in the field of artificial intelligence.

Contributions and Research Focus:

His  contributions primarily revolve around a broad spectrum of research areas, including brain-inspired computation, data mining, deep learning, natural language processing, information security, and more. His work has been published in esteemed journals such as IEEE TKDE, ACM TKDD, and Neurocomputing, among others. His research projects, funded by notable organizations like the National Natural Science Foundation of China and the Natural Science Foundation of Jiangsu Province, emphasize the significance and impact of his work.

Accolades and Recognition:

His dedication to research and innovation has earned him various accolades and recognitions. Notably, he received the Jiangsu Province Higher Education Science and Technology Research Achievement Award for his work on social network data privacy protection and public opinion supervision in 2021. Furthermore, he was granted the title of Vice President of Science and Technology in Jiangsu Province in 2022, underscoring his influential role in the academic and technological landscape.

Impact and Influence:

With a plethora of publications and active involvement in committees like the Emotional Computing Committee of the Chinese Information Processing Society of China, Rong has made a significant impact on the academic community. His research and contributions have not only advanced the field but also influenced fellow researchers and professionals, evident from his roles as a journal reviewer for several prestigious publications.

Legacy and Future Contributions:

As Prof. Huan Rong continues his academic and research journey, his legacy is shaped by his dedication to advancing the field of artificial intelligence and its applications. His focus on brain-inspired computation, data mining, and other pivotal areas signifies his commitment to addressing contemporary challenges and pushing boundaries. Moving forward, Rong's future contributions are anticipated to further enrich the field, inspire upcoming researchers, and foster innovation in artificial intelligence and related domains.

Notable Publication:

Citations:

A total of 634 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations      :634
  • h-index         :17
  • Documents  :25

 

Naif Majrashi | Best Researcher Award | medical fields/Image and data analysis/Infectious diseases (TB)

Published on by Research Data Analysis

 Naif Majrashi - Jazan University - medical fields/Image and data analysis/Infectious diseases (TB)🏆

Assist Prof Dr Naif Majrashi : medical fields/Image and data analysis/Infectious diseases (TB)

Professional profile:

Early Academic Pursuits:

Naif Ali Ahmed Majrashi's academic journey began with a Bachelor of Diagnostic Radiology from Jazan University, Saudi Arabia. Following this, he pursued a Master of Science in Medical Imaging from the University of Aberdeen, UK, where he graduated with commendation. He further enhanced his academic credentials by completing his Ph.D. in Medical Imaging from the same institution, the University of Aberdeen, in 2020. His early academic endeavors laid a solid foundation for his subsequent professional achievements in the field of medical imaging.

Professional Endeavors:

Naif Majrashi has made significant strides in his professional career. Currently serving as an Assistant Professor at Jazan University, Saudi Arabia, he has been instrumental in teaching, research, and administration within the Diagnostic Radiography Technology Department. Additionally, his experience extends to serving as a Laboratory Demonstrator at the University of Aberdeen, UK. Throughout his career, he has showcased expertise in areas such as brain imaging, medical image analysis, machine learning, and radiation protection. His commitment to academic excellence is evident through his involvement in curriculum design, research supervision, and publication in reputable journals.

Contributions and Research Focus:

NM's research focus encompasses several pivotal areas within medical imaging, including brain imaging, environmental effects on the brain, machine learning applications, systematic reviews, and radiation protection. His publications reflect his dedication to advancing the field, with topics ranging from the relationship between chest CT severity score and COVID-19 pneumonia to the impact of photoperiod on brain volume and depressive symptoms. His research contributions have been published in renowned journals, contributing to the broader understanding of medical imaging techniques and applications.

Accolades and Recognition:

Throughout his academic and professional journey, Naif Majrashi has garnered several accolades and certifications that underscore his expertise and commitment to the field. Notably, he holds a Certified Senior Health Specialist in Diagnostic Radiology from the Saudi Commission For Health Sciences, among other certifications. His accomplishments include achieving a Data Driven-Scientist designation from the Massachusetts Institute of Technology (MIT) and a Certified Trainer of Trainees from the Saudi Commission For Health Sciences.

Impact and Influence:

NM's impact extends beyond his research contributions and professional roles. His involvement in teaching, mentoring, and supervising students has shaped the next generation of professionals in medical imaging and related fields. By fostering collaborative research, attending academic conferences, and sharing his expertise, he has contributed to the academic community's growth and development.

Legacy and Future Contributions:

As Naif Ali Ahmed Majrashi continues to advance in his career, his legacy is marked by a dedication to excellence, innovation, and collaboration in the field of medical imaging. His future contributions are anticipated to further shape the landscape of diagnostic radiography, machine learning applications, and research methodologies. Through ongoing research, mentorship, and academic leadership, NM's legacy will continue to inspire advancements in medical imaging and related disciplines.

Notable Publication:

Citations:

A total of 28 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations      :28
  • h-index         :12
  • Documents  :3

 Marco Carati | Real-world Case Studies | Best Researcher Award

Published on by Research Data Analysis

Prof Dr Marco Carati | Real-world Case Studies - Alma Mater Studiorum - University of Bologna

Prof Dr Marco Carati : Real-world Case Studies

Professional profile:

Early Academic Pursuits:

Prof Dr. Marco Carati's academic journey began with a Bachelor's Degree in Mechanical Engineering from the University of Bologna, where he investigated the effects of persistence in temperature on the mechanical properties of the aluminum alloy A356 T6. His exceptional work earned him a high final grade of 106/110.

He furthered his studies with a Master's Degree in Mechanical Engineering, focusing on Industrial Plants, Materials, and Energetic Systems. His thesis, conducted under the supervision of Prof. Jon Gibbins and Prof. Cesare Saccani, delved into the techno-economic assessment of Post Combustion Carbon Capture and Storage power plants with heat storage. Marco graduated with top honors (110/110 cum laude).

Marco's academic pursuits continued with a Ph.D. in Civil, Chemical, Environmental, and Materials Engineering. His doctoral thesis, titled "Handling of molten Poly(ethylene terephthalate) cylinders for preforms compression molding machines," showcased his expertise in the field. His work was highly regarded, earning him excellent marks in thesis novelty, research methodology, results quality, and knowledge of the research topic.

He diversified his academic experience through an Executive Master in Technology Innovation Management at Bologna Business School, focusing on R&D management. His exceptional performance in courses such as Cost Management, Operations Strategy, and Leadership reflected his commitment to continuous learning and professional growth.

Professional Endeavors:

Prof Dr. Marco Carati's professional journey has been marked by significant contributions to the field of engineering and research, particularly in the development of high-tech industrial automatic machines.

He commenced his career as a Researcher at the Industrial Mechanical Systems Engineering Department at the University of Bologna, focusing on CCS and Fossil Fuel Free Power Plants.

His tenure at SACMI, a world-leading company in automatic machines and plants design and manufacturing, included roles such as Stretch Blow Molding Machines R&D Mechanical Designer, Preform Advanced Compression Molding Machines R&D Manager, and PET Mechanical Design Manager. Marco played a pivotal role in solving mechanical technical issues, designing innovative machines, and significantly improving machine reliability and productivity.

He later took on roles as Mold Steels Heat Treatment Optimization R&D Manager and PET Preform Division Mechanical R&D Coordinator, showcasing his ability to lead and coordinate complex research and development activities.

Currently, he serves as the Training Development Manager at SACMI's Corporate Academy, demonstrating his versatility in managing training programs and contributing to the company's revenue streams.

Contributions and Research Focus:

Prof Dr. Marco's research contributions extend across various domains, including mold steels heat treatment optimization, stretch blow molding machines, and preform advanced compression molding machines. His work has resulted in improved machine productivity, reliability, and the design of groundbreaking technologies.

As an Adjunct Professor at the Alma Mater Studiorum University, Marco imparts his knowledge to the next generation of engineers, teaching courses in the Department of Electrical, Electronic, and Information Engineering.

His involvement in international collaborations, R&D projects, and partnerships with top-level universities underscores his commitment to advancing technology and innovation in the engineering field.

Accolades and Recognition:

Prof Dr. Marco Carati's outstanding academic and professional achievements have garnered recognition from various institutions. He is a recipient of grants of merit from the University of Bologna and other European and Italian public and private institutions.

His role as an Adjunct Professor and contributions to the development of new technologies and machines have established him as a respected figure in academia and the industrial sector.

Impact and Influence:

Marco's leadership roles in R&D, mechanical design, and training development at SACMI have contributed to the company's success and prominence in the industry. His ability to lead teams, solve complex technical challenges, and drive innovation has left a lasting impact on the products and processes within the organization.

His involvement in international conferences, seminars, and collaborations with leading research centers has expanded his influence globally, fostering connections with top-level universities and research institutions.

Legacy and Future Contributions:

Prof Dr. Marco Carati's legacy is characterized by his significant contributions to the advancement of technology in the engineering field. As an educator, researcher, and industry leader, his influence will continue to shape the development of high-tech industrial machines and inspire future generations of engineers.

Looking forward, Marco's commitment to innovation and education positions him to make further contributions to the field, whether through continued research, academic mentorship, or leadership in the development of cutting-edge technologies. His multidisciplinary approach, combining hard and soft skills, underscores his potential to drive positive change in the engineering landscape.

Notable Publications: