Jie Xia | Neuroinformatics | Research Excellence Award

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Ms. Jie Xia | Neuroinformatics | Research Excellence Award

Ms. Jie Xia | Zhejiang university | China

Jie Xia is a researcher in electronic science and technology whose work focuses on brain imaging, biomedical signal processing, and micro–nano sensing systems. She is pursuing advanced training at Zhejiang University, where her studies integrate artificial intelligence–guided learning with next-generation sensing and detection technologies. Her academic background in automation and electronic engineering provides a strong foundation in circuits, digital logic, and signal analysis. Xia’s research experience includes serving as an algorithm engineer at the Institute of Optoelectronics at Westlake University, where she contributed to the development of a non-invasive photoelectric multimodal brain imaging system. In this role, she designed and optimized algorithms for near-infrared functional brain imaging and developed computational methods to quantify changes in oxygenated and deoxygenated hemoglobin, supporting real-time monitoring of cerebral activity. Her research contributions span neuroimaging technology, optical sensing, and computational modeling, with growing impact in the field. She has produced multiple scholarly outputs, reflected in 67 citations, 65 documents, an h-index of 5, and an i10-index of 3, demonstrating consistent influence and early-career productivity. Xia continues to develop interdisciplinary methods that bridge engineering and neuroscience, aiming to advance non-invasive brain monitoring technologies and their translational applications.

Profile: Google Scholar

Featured Publications

Zhang, F., Zhang, L., Xia, J., Zhao, W., Dong, S., Ye, Z., Pan, G., Luo, J., & Zhang, S. (2023). Multimodal electrocorticogram active electrode array based on zinc oxide‐thin film transistors. Advanced Science, 10(2), 2204467.

Zhou, P., Bai, C., Xia, J., & Chen, S. (2020). CMRDF: A real-time food alerting system based on multimodal data. IEEE Internet of Things Journal, 9(9), 6335–6349.

Li, B., Li, M., Xia, J., Jin, H., Dong, S., & Luo, J. (2024). Hybrid integrated wearable patch for brain EEG-fNIRS monitoring. Sensors, 24(15), 4847.

Wang, S., Yang, L., Jiang, H., Xia, J., Li, W., Zhang, Z., Zhang, S., Jin, H., Luo, J., … (2023). Multifunctional evaluation technology for diagnosing malfunctions of regional pelvic floor muscles based on stretchable electrode array probe. Diagnostics, 13(6), 1158.

Zhou, P., Bai, C., & Xia, J. (2019). ZJUTCVR Team at ImageCLEFlifelog2019 Lifelog Moment Retrieval Task. CLEF (Working Notes), 11.

Xia, J., Zhang, F., Zhang, L., Cao, Z., Dong, S., Zhang, S., Luo, J., & Zhou, G. (2024). Magnetically compatible brain electrode arrays based on single-walled carbon nanotubes for long-term implantation. Nanomaterials, 14(3), 240.

Zhou, P., Xia, J., Peng, X., Zhao, W., Ye, Z., Li, Z., Yang, S., Pan, J., Chen, Y., … (2025). Neural-driven image editing. NeurIPS 2025.

Pan, J., Xia, J., Zhang, F., Zhang, L., Zhang, S., Pan, G., & Dong, S. (2023). 7T magnetic compatible multimodality electrophysiological signal recording system. Electronics, 12(17), 3648.

Dr.A. Jayanthila Devi | Neuroinformatics | Women Researcher Award

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Dr.A. Jayanthila Devi | Neuroinformatics | Women Researcher Award 

Dr.A. Jayanthila Devi | Adichunchinagiri university | India

Dr. A. Jayanthiladevi is a distinguished academic and researcher in Computer Science and Engineering, currently serving as a Professor at the Department of Computer Science and Engineering, BGSIT, Adichunchanagiri University, Karnataka, India. She has completed two Post-Doctoral Research Fellowships, one at the Center of Artificial Intelligence, Amity University Dubai, and another at Srinivas University under the mentorship of leading experts in artificial intelligence and enterprise systems. She holds a Ph.D. in Computer Applications from Anna University, where her doctoral work proposed an efficient spectrum utilization and retransmission rerouting mechanism in Mobile IP. Her academic background further includes advanced qualifications in intellectual property law and computer applications. Dr. Jayanthiladevi has extensive professional experience as Professor, Assistant Professor, Director of Post-Doctoral Fellowship Programmes, and collaborator for industry–academia research initiatives across various reputed institutions. Her research contributions span artificial intelligence, wireless networks, spectrum mobility, and cybersecurity. She has authored numerous publications with a citation count of 639 and 569 across platforms, an h-index of 13 and 12, and an i10-index of 15 and 14, reflecting her strong scholarly impact. With strong research leadership and collaborative expertise, she continues to contribute significantly to high-quality publications, patents, and international research advancements.

Profile: Google Scholar

Featured Publications

Priya, S. S., Sivaram, M., Yuvaraj, D., & Jayanthiladevi, A. (2020). Machine learning based DDoS detection. In 2020 International Conference on Emerging Smart Computing and Informatics.

Balamurugan, E., Flaih, L. R., Yuvaraj, D., Sangeetha, K., & Jayanthiladevi, A. (2019). Use case of artificial intelligence in machine learning manufacturing 4.0. In 2019 International Conference on Computational Intelligence and Knowledge.

Nagarajan, G., Minu, R. I., & Jayanthila Devi, A. (2020). Optimal nonparametric Bayesian model-based multimodal BoVW creation using multilayer pLSA. Circuits, Systems, and Signal Processing, 39(2), 1123–1132.

Nagarajan, G., Minu, R. I., & Jayanthiladevi, A. (2019). Brain computer interface for smart hardware device. International Journal of RF Technologies, 10(3–4), 131–139.

Jayanthiladevi, A., Raj, A. G., Narmadha, R., Chandran, S., Shaju, S., & Prasad, K. K. (2020). AI in video analysis, production and streaming delivery. Journal of Physics: Conference Series, 1712(1), 012014.

Sakthivel, K., Jayanthiladevi, A., & Kavitha, C. (2016). Automatic detection of lung cancer nodules by employing intelligent fuzzy c-means and support vector machine. Biomedical Research–India, 27, S123–S127.

Ranjeeth, S., Latchoumi, T. P., Sivaram, M., Jayanthiladevi, A., & Kumar, T. S. (2019). Predicting student performance with ANNQ3H: A case study in secondary education. In 2019 International Conference on Computational Intelligence and Knowledge.

Minu, R., Nagarajan, G., Suresh, A., & Devi, J. A. (2016). Cognitive computational semantic for high resolution image interpretation using artificial neural network. Biomedical Research–India, 27, S306–S309.

Mishra, P., Jimmy, L., Ogunmola, G. A., Phu, T. V., Jayanthiladevi, A., et al. (2020). Hydroponics cultivation using real time IoT measurement system. Journal of Physics: Conference Series, 1712(1), 012040.

Latchoumi, T. P., Vasanth, A. V., Bhavya, B., Viswanadapalli, A., & Jayanthiladevi, A. (2020). QoS parameters for comparison and performance evaluation of reactive protocols. In 2020 International Conference on Computational Intelligence for Smart Power.

Arunkarthikeyan, K., Balamurugan, K., Nithya, M., & Jayanthiladevi, A. (2019). Study on deep cryogenic treated-tempered WC–CO insert in turning of AISI 1040 steel. In 2019 International Conference on Computational Intelligence and Knowledge.

VIKRAM SINGH KARDAM | Neuroinformatics | Best Researcher Award

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Mr. VIKRAM SINGH KARDAM | Neuroinformatics | Best Researcher Award

Mr. VIKRAM SINGH KARDAM, DTU DELHI, India.

Vikram Singh Kardam is a dedicated researcher and academician specializing in signal processing, currently pursuing his Ph.D. at Delhi Technological University (DTU). With a strong educational foundation, including an M.Tech in Signal Processing and Digital Design, and a B.Tech in Electronics and Communication Engineering, he has consistently demonstrated academic excellence. Vikram has diverse professional experience, having worked both in industry and academia, including roles as a Project Engineer and Assistant Professor. His innovative M.Tech thesis on real-time iris recognition highlights his ability to apply advanced concepts to practical challenges in biometric security. Proficient in multiple programming languages and known for his problem-solving attitude, he blends technical skill with teaching acumen, influencing students and peers alike. His GATE rank and contributions to student development further underscore his commitment to excellence in engineering and education.

Profile

Scopus

 

🎓 Early Academic Pursuits

Vikram Singh Kardam’s academic journey began with a solid foundation in science and technology. He completed his 10th and 12th education from Government Inter College, Agra, achieving commendable marks that laid the groundwork for his future in engineering. His higher education commenced at the University Institute of Engineering and Technology, CSJM University, Kanpur, where he earned his Bachelor of Technology in Electronics and Communication Engineering in 2007 with a respectable score of 73.2%. Driven by a passion for advanced studies, he pursued a Master of Technology in Signal Processing and Digital Design from Delhi Technological University (DTU), securing a CGPA of 8.06 in 2017. His academic path reflects not only consistent effort but also a dedication to the field of signal processing.

🧑‍🏫 Professional Endeavors

Vikram embarked on his professional career with diverse roles that bridged academia and industry. He served as a Project Engineer at ITI Limited, Delhi, and as a Lab Engineer at Dayalbagh Engineering College, Agra, gaining hands-on experience in real-world engineering environments. His passion for teaching led him to academia, where he worked as an Assistant Professor in reputed institutions such as Galgotias College of Engineering and Technology, Greater Noida, and HMR Institute of Technology and Management, Delhi. With around three years of cumulative teaching experience, he has imparted theoretical knowledge and practical insights in Electronics and Communication Engineering, contributing to the academic development of numerous students.

🔬 Contributions and Research Focus

Currently pursuing his Ph.D. in Signal Processing at Delhi Technological University, Vikram Singh Kardam’s research delves into the intricacies of digital signal processing with real-world applications. His M.Tech thesis, titled “Real Time Iris Recognition”, showcases his innovation in biometric security systems. By integrating iris recognition with eye-blinking detection using a basic webcam, he proposed a novel, low-cost, and more secure method for identity verification. The system’s robustness and its resistance to hacking highlight his ability to merge theoretical concepts with practical utility. His fluency in programming languages such as MATLAB, C, C++, and Python3 supports his technical versatility in algorithm development and simulation.

🏅 Accolades and Recognition

A noteworthy milestone in Vikram’s academic journey is securing an All India Rank of 5334 in the GATE 2021 examination in Electronics and Communication Engineering. This national-level achievement is a testament to his strong grasp of core concepts and problem-solving acumen. Additionally, his academic performances during B.Tech and M.Tech reflect sustained excellence. His thesis project, recognized for its practical application and innovative approach, further enhances his academic reputation.

📚 Impact and Influence

In his role as an Assistant Professor, Vikram Singh Kardam has significantly influenced his students’ academic and professional growth. His commitment to regularly conducting lectures, his focus on ensuring student understanding, and his hands-on approach to lab sessions highlight his dedication to holistic teaching. Beyond knowledge delivery, his empathetic and analytical mindset enables him to mentor students, offer academic guidance, and solve problems effectively. His ability to integrate teaching with research creates an inspiring learning environment.

🌐 Legacy and Future Contributions

Looking forward, Vikram aspires to contribute to both academia and industry through innovative research in signal processing, embedded systems, and biometric technology. His current Ph.D. pursuits are expected to yield impactful contributions to the scientific community, particularly in the areas of real-time data analysis and secure identification systems. With a forward-thinking vision, he aims to blend educational excellence with technological advancement, fostering a new generation of engineers equipped with both critical thinking and creative problem-solving skills.

🧠 Vision and Intellect

At the core of Vikram Singh Kardam’s career is a mindset defined by curiosity, dedication, and the pursuit of knowledge. A quick learner and an effective communicator, he embodies the spirit of modern engineering – adaptive, analytical, and collaborative. His ability to learn and implement complex systems, along with his respect for students and colleagues, reflects not just technical competence but also emotional intelligence. As a lifelong learner and educator, he is poised to make enduring contributions in signal processing and beyond.

Publication

  • Title: BSPKTM-SIFE-WST: Bispectrum based channel selection using set-based-integer-coded fuzzy granular evolutionary algorithm and wavelet scattering transform for motor imagery EEG classification

  • Authors: V.S. Kardam, S. Taran, A. Pandey

  • Year: 2025

 

 

✅ Conclusion

Vikram Singh Kardam stands out as a promising scholar and educator in the field of signal processing. His journey reflects a balance of theoretical rigor, practical implementation, and a passion for continuous learning. With a future-oriented mindset, he is poised to make meaningful contributions to biometric systems, digital design, and the broader engineering community. As he advances through his doctoral research and professional engagements, Vikram’s legacy is one of innovation, dedication, and impactful mentorship in the evolving landscape of technology and education.

Koagne Longpa Tamo Silas | Neuroinformatics | Pioneer Researcher Award

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Mr. Koagne Longpa Tamo Silas | Neuroinformatics | Pioneer Researcher Award

Mr.  Koagne Longpa Tamo Silas, University of Dschang, Cameroon.

Koagne Longpa Tamo Silas is a dedicated researcher in the field of medical physics, specializing in automation, artificial intelligence, and electronic system design. His academic journey from Bamenda State University to Dschang State University reflects his continuous pursuit of knowledge and innovation. His contributions to circuit simulation, embedded systems, and artificial neural networks have established him as a promising figure in medical physics.

Profile

Google Scholar

🎓 Early Academic Pursuits

Born on July 12, 1998, in Mbouda, Cameroon, Koagne Longpa Tamo Silas displayed a keen interest in science and technology from a young age. His passion for physics and engineering led him to pursue higher education at Bamenda State University, where he embarked on an academic journey in Electrical and Power Engineering. His undergraduate studies, from November 2015 to August 2018, laid the foundation for his expertise in electrical systems, automation, and circuit design. Eager to expand his knowledge, he continued his postgraduate studies in the same field at Bamenda State University from September 2018 to July 2020, honing his skills in power engineering and applied electronics.

🚀 Professional Endeavors

Determined to deepen his expertise, Koagne Longpa Tamo Silas transitioned into the field of physics, enrolling as a Ph.D. student at Dschang State University in December 2022. His academic pursuits in the Department of Physics align with his interests in medical physics, where he integrates automation, applied computer science, and electronics to innovate in the field. As a dedicated researcher, he continues to engage with the Faculty of Science at Dschang State University, contributing to the academic and scientific community with his research in medical physics and embedded systems.

🤖 Contributions and Research Focus

Koagne Longpa Tamo Silas has dedicated his research efforts to the intersection of medical physics, automation, and artificial intelligence. His work encompasses Analog Artificial Neural Networks, Embedded Systems, Circuit Simulation, Digital and Analog Electronics, and Microcontroller Programming. His proficiency in tools like Spice Simulation, Cadence Virtuoso, and Electronic Design Automation allows him to design and optimize medical devices and automated systems. His research aims to enhance diagnostic and therapeutic tools in medical physics by leveraging artificial intelligence and embedded systems.

🏆 Accolades and Recognition

Throughout his academic and research career, Koagne Longpa Tamo Silas has garnered recognition for his contributions to medical physics and electronics. His innovative approach to circuit simulation and signal processing has positioned him as a promising researcher in his field. His dedication to advancing medical technologies has earned him the respect of his peers and mentors, as he continues to contribute valuable insights to the scientific community.

🌐 Impact and Influence

Through his academic journey and research, Koagne Longpa Tamo Silas has influenced the way automation and artificial intelligence are integrated into medical physics. His work in digital electronics and microcontroller programming is paving the way for innovative solutions in the medical field. His contributions extend beyond research, as he actively engages with students and researchers, fostering a culture of knowledge-sharing and scientific exploration.

 

Publication

  • A High-Resolution Non-Volatile Floating Gate Transistor Memory Cell for On-Chip Learning in Analog Artificial Neural Networks
    Authors: KLT Silas, DTA Bernard, FT Bernard, L Jean-Pierre, GW Ejuh
    Year: 2025

 

  • Breast Cancer Diagnosis with Machine Learning Using Feed-Forward Multilayer Perceptron Analog Artificial Neural Network
    Authors: B Djimeli-Tsajio Alain, KLT Silas, LT Jean-Pierre, N Thierry, GW Ejuh
    Year: 2024

 

  • Design and Implementation of a Digital Breath Alcohol Detection System with SMS Alert and Vehicle Tracking on Google Map
    Author: KLT Silas
    Year: 2020

 

  • Design and Realization of an Electronic Attendance System Based on RFID with an Automatic Door Unit
    Author: MK Jules
    Year: 2018

 

🎯 Conclusion

With a vision to transform medical physics through automation and AI-driven technologies, Koagne Longpa Tamo Silas is on a path to making significant contributions to healthcare innovation. His passion, dedication, and expertise ensure that his research will continue to shape the future of medical technology, leaving a lasting impact on both academia and practical applications in the field.