Sherin Zafar | Machine Learning  | Women Researcher Award

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Dr. Sherin Zafar | Machine Learning  | Women Researcher Award

Jamia Hamdard | India

PUBLICATION PROFILE

Scopus

🌟 DR. SHERIN ZAFAR: ACADEMIC AND RESEARCH PIONEER 

👩‍🏫 INTRODUCTION

Dr. Sherin Zafar is an accomplished Assistant Professor in the Department of Computer Science and Engineering at the School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi. Joining the institution in 2015, she has made remarkable contributions to teaching, research, and faculty development. With expertise in network security, machine learning, and health informatics, Dr. Zafar continues to inspire both students and colleagues alike.

🎓 EARLY ACADEMIC PURSUITS

Dr. Zafar’s academic journey began with a Bachelor’s degree in Computer Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal, followed by a Master’s degree in the same field. Her passion for optimizing network protocols led her to complete her Ph.D. at Manav Rachna International Institute of Research and Studies (MRIIRS) in 2015, where she focused on creating secure protocols for Mobile Ad-Hoc Networks (MANETs) through biometric authentication.

💼 PROFESSIONAL ENDEAVORS

Since joining Jamia Hamdard, Dr. Zafar has been dedicated to academic growth and research excellence. Her professional endeavors span the fields of artificial intelligence (AI), health informatics, and wireless networks. A regular participant in faculty development programs (FDP), workshops, and international conferences, Dr. Zafar stays at the forefront of technological advancements, demonstrating her commitment to personal and professional growth.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Zafar’s research interests are centered around applying AI and computational techniques to real-world problems, especially in health and security. Her work in e-health, including maternal health improvement through AI-based systems, and the development of secure network protocols, highlights her commitment to impactful research. She has also explored the application of machine learning in smart city technologies and water quality monitoring.

🌍 IMPACT AND INFLUENCE

Dr. Zafar has made a significant impact in the academic community through her publications and collaborative research. Her work in healthcare AI, optimization techniques, and network security has been widely recognized and cited by scholars and professionals worldwide. Her contributions have advanced both theoretical and practical aspects of computer science and engineering.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Zafar’s academic footprint includes high-quality research papers published in top-tier journals and international conference proceedings. Her studies, including works on AI in healthcare and photo captioning for visually impaired individuals, have been published in journals like Heliyon, Proceedings on Engineering Sciences, and Multimedia Tools and Applications. These works have been indexed in Scopus and Web of Science, contributing to the ongoing academic dialogue.

🏆 HONORS & AWARDS

Throughout her career, Dr. Zafar has received several honors in recognition of her contributions to teaching and research. These accolades showcase her dedication to enhancing the educational landscape and driving innovations in technology and healthcare.

🛠️ LEGACY AND FUTURE CONTRIBUTIONS

As Dr. Zafar continues her work at Jamia Hamdard, her legacy is one of inspiring innovation and fostering academic excellence. With a focus on AI, machine learning, and secure communications, her future research is poised to make lasting contributions to the fields of computer science and healthcare, inspiring future generations of researchers and professionals.

📜 FINAL NOTE

Dr. Sherin Zafar’s career is a testament to her passion for research and teaching. Through her groundbreaking research in AI, network security, and healthcare, Dr. Zafar has earned a well-deserved reputation as a leader in her field. As she continues her academic journey, her influence will undoubtedly shape the future of computer science and engineering, leaving a lasting legacy for years to come.

📚 TOP NOTES PUBLICATIONS 

Internet of things assisted deep learning enabled driver drowsiness monitoring and alert system using CNN-LSTM framework

Authors: S.P. Soman, Sibu Philip G., Senthil Kumar G., S.B. Nuthalapati, Suri Babu S., Zafar Sherin, K.M. Abubeker K.M.
Journal: Engineering Research Express
Year: 2024

Holistic Analysis and Development of a Pregnancy Risk Detection Framework: Unveiling Predictive Insights Beyond Random Forest

Authors: N. Irfan Neha, S. Zafar Sherin, I. Hussain Imran
Journal: SN Computer Science
Year: 2024

Correction to: A transformer based real-time photo captioning framework for visually impaired people with visual attention

Authors: A.K.M. Kunju Abubeker Kiliyanal Muhammed, S. Baskar S., S. Zafar Sherin, S. Rinesh S., A. Shafeena Karim A.
Journal: Multimedia Tools and Applications
Year: 2024

A transformer based real-time photo captioning framework for visually impaired people with visual attention

Authors: K.M. Abubeker K.M., S. Baskar S., S. Zafar Sherin, S. Rinesh S., A. Shafeena Karim A.
Journal: Multimedia Tools and Applications
Year: 2024

 Enhancing Heart Health Prediction with Natural Remedies Through Integration of Hybrid Deep Learning Models

Authors: L.M.S. Akoosh Lamiaa Mohammed Salem, F. Siddiqui Farheen, S. Zafar Sherin, S. Naaz Sameena, M.A. Afshar Alam
Journal: Journal of Natural Remedies
Year: 2024

Synergistic Precision: Integrating Artificial Intelligence and Bioactive Natural Products for Advanced Prediction of Maternal Mental Health During Pregnancy

Authors: N. Irfan Neha, S. Zafar Sherin, I. Hussain Imran
Journal: Journal of Natural Remedies
Year: 2024

Youmna Iskandarani | Machine Learning | Best Researcher Award

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Ms. Youmna Iskandarani l Machine Learning | Best Researcher Award

American University of Beirut, Lebanon

Author Profile

Orcid

EARLY ACADEMIC PURSUITS 🎓

Youmna Iskandarani’s academic journey laid a robust foundation for her career in food science and technology. She earned her Bachelor’s degree in Dietetics and Clinical Nutrition Services from Lebanese International University, followed by a Bachelor of Applied Science in Food Science and Technology. Building on this knowledge, she pursued a Master of Science in Food Science and Technology, which further refined her expertise in food processing, safety, and research. During her studies, she also explored economics, expanding her understanding of the broader socio-economic factors influencing food systems.

PROFESSIONAL ENDEAVORS 💼

Youmna’s professional trajectory spans over a decade and includes a wealth of experience in community development, food technology, and business development. As the founder of Ossah Taybeh, a food heritage initiative, she has demonstrated her leadership in promoting sustainable food practices. Additionally, her role as a business development consultant and food expert for various organizations, including the World Food Programme (WFP) and UNDP, highlights her expertise in improving the socio-economic conditions of small and medium enterprises (SMEs) in Lebanon. Youmna has also worked with institutions like the American University of Beirut, where she contributed to food safety training, product development, and innovative food solutions. Her consulting work for international organizations and governments underscores her technical expertise in food processing, quality control, and business strategy.

CONTRIBUTIONS AND RESEARCH FOCUS  On  Machine Learning🔬

Throughout her career, Youmna has been at the forefront of several groundbreaking projects in food science and technology. She has published significant research, including studies on ADHD and nutrition, the production procedures of labneh anbaris (a traditional Lebanese yogurt), and food security. Her research in food safety, quality control, and food product development, especially in the dairy sector, has made substantial contributions to understanding the physicochemical properties of traditional food products. Additionally, her work in food safety, particularly related to cross-contamination prevention and dairy production processes, has helped improve the standards of food processing in Lebanon and beyond.

IMPACT AND INFLUENCE 🌍

Youmna’s impact extends far beyond her professional roles; she has become a key figure in advancing food safety and quality practices in Lebanon. As a consultant and trainer, she has helped develop and implement strategies that enhance the livelihoods of farmers and small business owners in rural and urban communities. Her work with the International Labour Organization (ILO) and various NGOs has supported entrepreneurial initiatives aimed at creating sustainable economic opportunities. Her efforts in building the capacity of SMEs and promoting socially impactful business practices have earned her recognition as a leader in both the food industry and community development sectors. Moreover, her role as a mentor and trainer for aspiring entrepreneurs has inspired many to develop their own successful ventures.

ACADEMIC CITATIONS AND RECOGNITION 🏅

Youmna’s research has been widely cited in academic circles, contributing to the fields of food science and public health. Her work on the physicochemical properties of labneh anbaris and her studies in the areas of food security and nutrition have been valuable in shaping food safety protocols and product development in Lebanon. She is recognized for her expertise in food technology and food safety, as well as for her commitment to advancing the quality and sustainability of food production systems in Lebanon and the broader region. Her contributions have made her a sought-after consultant and expert in various food safety and quality assurance projects.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Looking forward, Youmna Iskandarani is poised to continue making meaningful contributions to the fields of food science, business development, and community empowerment. Her passion for sustainability and rural development, combined with her technical expertise in food safety and quality assurance, will continue to guide her efforts in enhancing food systems and promoting socio-economic growth. Her vision for the future includes empowering more women and SMEs in the agri-food sector, improving the resilience of local food production systems, and advocating for healthier, safer, and more sustainable food practices. Youmna’s legacy will be built on her commitment to food security, innovation, and the betterment of her community and the global food industry.

 Top Noted Publications 📖

Microbial Quality and Production Methods of Traditional Fermented Cheeses in Lebanon

Authors: Mabelle Chedid, Houssam Shaib, Lina Jaber, Youmna El Iskandarani, Shady Kamal Hamadeh, Ivan Salmerón
Journal: International Journal of Food Science
Year: 2025

Machine Learning Method (Decision Tree) to Predict the Physicochemical Properties of Premium Lebanese Kishk Based on Its Hedonic Properties

Authors: Ossama Dimassi, Youmna Iskandarani, Houssam Shaib, Lina Jaber, Shady Hamadeh
Journal: Fermentation
Year: 2024

Development and Validation of an Indirect Whole-Virus ELISA Using a Predominant Genotype VI Velogenic Newcastle Disease Virus Isolated from Lebanese Poultry

Authors: Houssam Shaib, Hasan Hussaini, Roni Sleiman, Youmna Iskandarani, Youssef Obeid
Journal: Open Journal of Veterinary Medicine
Year: 2023

Effect of Followed Production Procedures on the Physicochemical Properties of Labneh Anbaris

Authors: Ossama Dimassi, Youmna Iskandarani, Raymond Akiki
Journal: International Journal of Environment, Agriculture and Biotechnology
Year: 2020

Production and Physicochemical Properties of Labneh Anbaris, a Traditional Fermented Cheese Like Product, in Lebanon

Authors: Ossama Dimassi, Youmna Iskandarani, Michel Afram, Raymond Akiki, Mohamed Rached
Journal: International Journal of Environment, Agriculture and Biotechnology
Year: 2020

Feng Hu | Multi-modal feature recognition | Best Researcher Award

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Assoc Prof Dr. Feng Hu l Multi-modal feature recognition | Best Researcher Award

Communication University of China, China

Author Profile

Scopus

Early Academic Pursuits 🎓

Assoc. Prof. Dr. Feng Hu’s academic journey began with a deep interest in communication and information systems. He earned his Ph.D. in Communication and Information Systems from the prestigious Communication University of China (CUC), Beijing, in 2013. This educational foundation set the stage for his distinguished career in the fields of wireless communications, media convergence, and related technologies, shaping his future research and academic contributions.

Professional Endeavors and Contributions 🌐

Dr. Feng Hu is a prominent figure in the domain of 5G/6G wireless communications, and his professional journey has been marked by several key roles. Since December 2018, he has been an Associate Professor at Communication University of China and a master tutor, where he plays a significant role in mentoring future engineers and researchers. He has also been an active member of the Working Group of Radio, Film, and Television Administration for Wireless Interactive Radio and Television, as well as a member of the Working Group of 5G Broadcast. These positions have allowed him to contribute to the development and regulation of cutting-edge technologies in the media and communications sector.

Research Focus and Impact 🔬

Dr. Hu’s research interests lie in the development of transmitting and receiving techniques for 5G and 6G wireless communications. His work focuses on optimizing wireless communication systems, utilizing machine learning, and exploring optimization theory to enhance the efficiency and performance of modern communication technologies. His research has significant implications for the advancement of wireless communication systems, contributing to the global transition to next-generation technologies and improving communication capabilities in various sectors.

Technical Skills and Expertise ⚙️

Dr. Hu is highly skilled in the areas of wireless communications, machine learning, and optimization theory. His expertise includes developing novel algorithms and techniques for 5G/6G systems, addressing challenges in data transmission, signal processing, and system optimization. He is proficient in applying advanced mathematical models and machine learning approaches to improve communication systems’ performance, reliability, and security, making him a key player in advancing the state-of-the-art in wireless communications.

Teaching Experience and Mentorship 🍎

As an Associate Professor and master tutor, Dr. Hu is deeply involved in shaping the next generation of professionals in communication and information systems. He has taught a variety of undergraduate and graduate-level courses, imparting his knowledge in wireless communications, machine learning, and optimization. His mentorship extends beyond the classroom, guiding students in research and academic pursuits, while fostering a culture of innovation and critical thinking in the field of communications.

Legacy and Future Contributions 🌱

Dr. Hu’s legacy is rooted in his pioneering work in the development of 5G/6G wireless communication systems and his significant contributions to the academic and professional communities. Looking ahead, he aims to continue pushing the boundaries of wireless communication technologies, with a particular focus on optimizing next-generation communication networks and integrating machine learning approaches to improve system efficiencies. His future contributions will likely influence both academic research and practical implementations in the rapidly evolving fields of wireless communications and media convergence.

Academic Citations and Recognition 🏆

Dr. Feng Hu’s research has garnered recognition in top-tier academic journals and conferences in the fields of communication systems and wireless technology. His work has not only contributed to the scientific community but has also influenced industry practices and standards in wireless communication. He continues to be a sought-after figure in academic circles, providing valuable insights into the development of 5G/6G systems and machine learning applications in communications.

Professional Affiliations and Leadership 🌍

Dr. Hu is an active member of several esteemed organizations, including IEEE and the Society of Communications, where he holds the prestigious title of Senior Member. His involvement in key working groups related to wireless interactive radio and television and 5G broadcast further highlights his leadership in shaping the future of communication technologies. These affiliations enhance his ability to drive impactful research and contribute to the global dialogue on the future of communication systems.

Future Outlook and Innovation 🚀

With his vast expertise in wireless communication systems and emerging technologies, Dr. Hu’s future endeavors will focus on leading innovations in 6G communication systems, integrating artificial intelligence and machine learning to enhance system performance, and tackling the challenges posed by next-generation wireless networks. His ongoing research will play a critical role in shaping the future of global communication, advancing both academic theory and practical applications in the field.

 Top Noted Publications 📖

SDDA: A progressive self-distillation with decoupled alignment for multimodal image–text classification

Authors: Chen, X., Shuai, Q., Hu, F., Cheng, Y.
Journal: Neurocomputing
Year: 2025

EmotionCast: An Emotion-Driven Intelligent Broadcasting System for Dynamic Camera Switching

Authors: Zhang, X., Ba, X., Hu, F., Yuan, J.
Journal: Sensors
Year: 2024

 Asymptotic performance of reconfigurable intelligent surface assisted MIMO communication for large systems using random matrix theory

Authors: Hu, F., Zhang, H., Chen, S., Zhang, J., Feng, Y.
Journal: IET Communications
Year: 2024

Real-Time Multi-Service Adaptive Resource Scheduling Algorithm Based on QoE

Authors: Li, W., Li, S., Hu, F., Yin, F.
Conference: 2024 IEEE 12th International Conference on Information and Communication Networks, ICICN 2024
Year: 2024

5G RAN Slicing Resource Allocation Based on PF/M-LWDF

Authors: Hu, F., Qiu, J., Chen, A., Yang, H., Li, S.
Conference: 2024 4th International Conference on Computer Communication and Artificial Intelligence, CCAI 2024
Year: 2024

Giulia cossu | Neuroscience Data Analysis | Best Researcher Award

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Assist Prof Dr. Giulia cossu | Neuroscience Data Analysis | Best Researcher Award

Centre hospitalier universitaire vaudois, Switzerland

Author Profiles

Scopus

Orcid

Early Academic Pursuits 📚

Dr. Giulia Cossu embarked on her academic journey with a strong foundation in medicine, starting with her Italian MD from the University of Turin (2005–2011). She continued her studies with a Swiss MD from the University of Lausanne (2013–2016). Dr. Cossu further honed her expertise through several diplomas in specialized fields, including Neuro-reanimation from the University of Lyon (2017), Pathologies of the hypothalamic and pituitary area from the University of Paris Sud (2017), and Microsurgical techniques from the University of Lyon (2016). Her qualifications culminated with her recognition as an Associate Professor in Neurosurgery by the Italian Ministry of Education and Research in February 2023.

Professional Endeavors 💼

Dr. Cossu’s professional journey is marked by her diverse and expansive experience in the field of neurosurgery. She began her residency in Neurosurgery at the University Hospital of Lausanne (2013–2016), before advancing to senior resident roles and specialized positions in the field. Dr. Cossu has earned extensive fellowship experience in areas such as vascular and skull base surgery, with prestigious stints in Tokyo (Japan), Dijon (France), and Shanghai (China). Her academic background and multifaceted experience continue to shape her impressive clinical practice.

Contributions and Research Focus 🔬

Dr. Cossu is a distinguished researcher, with a focus on improving surgical outcomes and exploring innovative methods in neurosurgery. She is the Principal Investigator (PI) of the HAMAC project (2023), a pioneering study examining hypnosis-aided awake craniotomy versus monitored anesthesia care for brain tumors. This research received a 100,000 CHF grant, emphasizing her role in advancing neurosurgical techniques. Dr. Cossu is also co-PI for the Fondation Istanjac project on hypnosis in acute care settings, funded with 156,000 CHF. Her work reflects a deep commitment to improving patient care and outcomes through research-driven methods.

Impact and Influence 🌍

Dr. Cossu’s contributions extend beyond research to impactful collaborations and a broader influence on the neurosurgery community. As a Fellow of the European Board of Neurological Surgery and a Swiss Specialist in Neurosurgery, she has shaped the standards of care in her field. Her accolades, such as the Brihaye EANS Research Grant (2020) and the Swiss Society of Neurosurgery Prize (2019), attest to her profound influence within the medical community. Dr. Cossu’s international fellowships have further expanded her global influence, positioning her as a thought leader in neurosurgery, particularly in vascular and skull base surgery.

Academic Citations 📖

Dr. Cossu has contributed significantly to the academic literature in neurosurgery, with her research being recognized and cited by peers in leading medical journals. Her focus on hypnosis in neurosurgery, as well as her work on advanced surgical techniques, has drawn attention from scholars and professionals alike. Her publications have contributed to shaping the field and continuing to push boundaries in both surgical practices and patient care.

Technical Skills 🛠️

With a career steeped in hands-on surgical experience, Dr. Cossu has developed technical expertise in various neurosurgical techniques, including skull base surgery, vascular surgery, and awake craniotomy. Her background in microsurgical techniques and neuro-reanimation highlights her ability to perform intricate procedures with precision. Dr. Cossu’s continued training and fellowship opportunities have kept her at the forefront of innovative approaches to neurosurgery, especially in complex and high-risk surgeries.

Teaching Experience 🏫

Dr. Cossu is deeply committed to educating the next generation of medical professionals. She has been actively involved in teaching undergraduate students at the Faculty of Biology and Medicine, University of Lausanne, since 2019. Her courses include topics such as the functions of the central nervous system, neuro-reanimation, and pituitary gland pathology. Through her teaching, she instills both foundational knowledge and cutting-edge concepts to aspiring neurosurgeons. Dr. Cossu’s pedagogical contributions ensure that her legacy is felt both in the operating room and the classroom.

Legacy and Future Contributions 🌟

Dr. Cossu’s growing body of work promises a lasting impact on neurosurgery. With her commitment to research and innovation, she is poised to continue pushing the envelope in surgical techniques, patient care, and educational methodologies. Her work in hypnosis and acute care settings has the potential to revolutionize the way neurosurgical procedures are approached, leading to better outcomes and a new paradigm of patient care. As she continues her academic, clinical, and research endeavors, Dr. Cossu is sure to leave an indelible mark on the field for generations to come.

Top Noted Publications 📖

Update on Neoadjuvant and Adjuvant BRAF Inhibitors in Papillary Craniopharyngioma: A Systematic Review
    • Authors: Giulia Cossu, Daniele S. C. Ramsay, Roy T. Daniel, Ahmed El Cadhi, Luc Kerherve, Edouard Morlaix, Sayda A. Houidi, Clément Millot-Piccoli, Renan Chapon, Tuan Le Van et al.
    • Journal: Cancers
    • Year: 2024
Anatomy of Inferior Temporal Arteries in Relation to Middle Cranial Fossa Structures: A Postmortem Computed Tomography Angiography Study
    • Authors: Adela Bubenikova, Lorenzo Giammattei, Christine Bruguier, Vincent Dunet, Daniele Starnoni, Pablo Gonzalez-Lopez, Mercy George, David Peters, Giulia Cossu, Vladimir Benes et al.
    • Journal: Journal of Neurological Surgery Part B: Skull Base
    • Year: 2024
Hypnosis-Assisted Awake Craniotomy for Eloquent Brain Tumors: Advantages and Pitfalls
    • Authors: Giulia Cossu, Alberto Vandenbulcke, Sonia Zaccarini, John G. Gaudet, Andreas F. Hottinger, Nina Rimorini, Arnaud Potie, Valerie Beaud, Ursula Guerra-Lopez, Roy T. Daniel et al.
    • Journal: Cancers
    • Year: 2024
The Role of Cisternostomy and Cisternal Drainage in the Treatment of Aneurysmal Subarachnoid Hemorrhage: A Comprehensive Review
    • Authors: Alberto Vandenbulcke, Mahmoud Messerer, Roy T. Daniel, Giulia Cossu
    • Journal: Brain Sciences
    • Year: 2023
PD-L1 Expression in Pituitary Neuroendocrine Tumors/Pituitary Adenomas
    • Authors: Giulia Cossu, Stefano La Rosa, Jean Philippe Brouland, Nelly Pitteloud, Ethan Harel, Federico Santoni, Maxime Brunner, Roy Thomas Daniel, Mahmoud Messerer
    • Journal: Cancers
    • Year: 2023

Jing An | Artificial Intelligence | Best Researcher Award

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Dr. Jing An | Artificial Intelligence | Best Researcher Award

Yancheng Institute of Technology, China

👨‍🎓Professional Profile

Scopus Profile

👨‍🏫 Summary

Dr. Jing An is a distinguished professor and master tutor at Yancheng Institute of Technology, China. He specializes in intelligent manufacturing engineering, industrial big data fault diagnosis, and residual life prediction. With numerous patents and software copyrights, Dr. An has published over 20 SCI/EI indexed papers and contributed to key academic texts. His pioneering research in artificial intelligence-based fault diagnosis has earned him prestigious awards, including first-place recognition in the China Commerce Federation Science and Technology Award .

🎓 Education

Dr. An holds a Ph.D. in Computer Science from Hohai University (2021) and a Master’s degree in Computer Science from Harbin University of Science and Technology (2006). His academic foundation has strongly influenced his research in AI and fault diagnosis.

💼 Professional Experience

Having joined Yancheng Institute of Technology in 2006, Dr. An is also the Vice President of Science and Technology for Jiangsu Province’s “Double Innovation Plan.” He has led numerous provincial-level projects, and his expertise has extended to more than 10 industry partnerships 🚀.

📚 Academic Citations

Dr. An has authored over 20 peer-reviewed papers in prestigious journals such as IEEE Access and Mathematical Problems in Engineering. His impactful research on AI-based fault diagnosis methods is frequently cited within the academic community .

🔧 Technical Skills

Dr. An is skilled in AI-based fault diagnosis, deep learning, machine learning, and industrial big data analytics. He has expertise in Convolutional Neural Networks (CNNs) and intelligent manufacturing systems, focusing on improving machinery reliability and efficiency .

🧑‍🏫 Teaching Experience

Dr. An has been recognized as an outstanding teacher twice at Yancheng Institute of Technology. He teaches courses in intelligent manufacturing engineering and industrial big data fault diagnosis, preparing students to advance in the field of AI and data science .

🔍 Research Interests

Dr. An’s research is focused on developing intelligent systems for fault diagnosis in rotating machinery, predictive maintenance, and the application of deep learning techniques in industrial big data. His work aims to enhance manufacturing processes and equipment reliability .

📖Top Noted Publications

Hybrid Mechanism and Data-Driven Approach for Predicting Fatigue Life of MEMS Devices by Physics-Informed Neural Networks

Authors: Cheng, J., Lu, J., Liu, B., An, J., Shen, A.

Journal: Fatigue and Fracture of Engineering Materials and Structures

Year: 2024

Bearing Intelligent Fault Diagnosis Based on Convolutional Neural Networks

Authors: An, J., An, P.

Journal: International Journal of Circuits, Systems and Signal Processing

Year: 2022

Deep Clustering Bearing Fault Diagnosis Method Based on Local Manifold Learning of an Autoencoded Embedding

Authors: An, J., Ai, P., Liu, C., Xu, S., Liu, D.

Journal: IEEE Access

Year: 2021

Deep Domain Adaptation Model for Bearing Fault Diagnosis with Riemann Metric Correlation Alignment

Authors: An, J., Ai, P.

Journal: Mathematical Problems in Engineering

Year: 2020

Deep Domain Adaptation Model for Bearing Fault Diagnosis with Domain Alignment and Discriminative Feature Learning

Authors: An, J., Ai, P., Liu, D.

Journal: Shock and Vibration

Year: 2020

A Chandrasekar | Neural networks | Best Researcher Award

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Dr. A Chandrasekar | Neural networks | Best Researcher Award

Doctorate at Vellore Institute Of Technology, India

🔗 Profile

Scopus Profile
orcid profile
Google scholar profile

👨‍🏫 Summary

Dr. Chandrasekar A is an esteemed Assistant Professor Senior Grade I in the Department of Mathematics at Vellore Institute of Technology, India. With extensive expertise in differential equations and neural networks, he has contributed significantly to these fields through his research and teaching. His commitment to advancing mathematical knowledge is evident in his impactful publications and active involvement in academic activities.

🎓 Education

Dr. Chandrasekar earned his Ph.D. in Mathematics from Bharathiar University (2013-2017), with a thesis on “Dynamic Characteristics of Neural Networks with Time-Varying Delays,” which was highly commended. He also holds an M.Phil. in Mathematics (2011-2012) from Bharathiar University, focusing on the effects of leakage time-varying delays in neural networks, and an M.Sc. in Mathematics (2009-2011) from the same institution. His undergraduate degree in Mathematics was completed at Thiruvalluvar Government Arts College/Periyar University (2006-2009), where he graduated with first-class honors.

💼 Professional Experience

Dr. Chandrasekar currently serves as an Assistant Professor Senior Grade I at Vellore Institute of Technology (Sep 2022 – Present), after previous roles at Sona College of Arts and Science (Jun 2018 – Aug 2022) and Karpagam College of Engineering (Jan 2017 – May 2018). His career also includes experience as a UGC-BSR Junior Research Fellow at Bharathiar University (Sep 2013 – Nov 2016), where he honed his research skills and expertise.

🔬 Research Interests

Dr. Chandrasekar’s research focuses on several intriguing areas: stability analysis of neural networks with time delay, synchronization of chaotic systems, image encryption, T-S fuzzy systems, and complex dynamical networks. His work in these domains has made notable contributions to both theoretical and applied mathematics.

📚 Additional Information

Dr. Chandrasekar has taught various courses including Complex Analysis, Differential Equations and Transforms, and Advanced Mathematical Methods. He has organized several academic events and lectures, such as on the role of statistical techniques and fundamental theorems of algebra. He is a reviewer for numerous prestigious journals, including the IEEE Transactions on Neural Networks and Learning Systems, and has published 27 papers in SCI journals with a total impact factor of 133.973.

📖 Publication

Biological-based techniques for real-time water-quality studies: Assessment of non-invasive (swimming consistency and respiration) and toxicity (antioxidants) biomarkers of zebrafish
    • Authors: Wang, H., Poopal, R.-K., Ren, Z.
    • Journal: Chemosphere
    • Volume: 352
    • Year: 2024
IR-based device to acquire real-time online heart ECG signals of fish (Cyprinus carpio) to evaluate the water quality
    • Authors: Wei, D., Wang, L., Poopal, R.-K., Ren, Z.
    • Journal: Environmental Pollution
    • Volume: 337
    • Year: 2023
Ecotoxicological evaluation of the UV-filter octocrylene (OC) in embryonic zebrafish (Danio rerio): Developmental, biochemical and cellular biomarkers
    • Authors: Gayathri, M., Sutha, J., Mohanthi, S., Ramesh, M., Poopal, R.-K.
    • Journal: Comparative Biochemistry and Physiology Part – C: Toxicology and Pharmacology
    • Volume: 271
    • Year: 2023
Efficiency of hematological, enzymological and oxidative stress biomarkers of Cyprinus carpio to an emerging organic compound (alphamethrin) toxicity
    • Authors: Ramesh, M., Bindu, C.F., Mohanthi, S., Ren, Z., Li, B.
    • Journal: Environmental Toxicology and Pharmacology
    • Volume: 101
    • Year: 2023
Developmental toxicity of the emerging contaminant cyclophosphamide and the integrated biomarker response (IBRv2) in zebrafish
    • Authors: Hema, T., Poopal, R.-K., Ramesh, M., Ren, Z., Li, B.
    • Journal: Environmental Science: Processes and Impacts
    • Volume: 25(8)
    • Year: 2023