Alex Armstrong | Systems Neuroscience | Young Scientist Award

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Mr. Alex Armstrong | Systems Neuroscience | Young Scientist Award

Mr. Alex Armstrong, University of Illinois, Urbana-Champaign, United States.

Alex Armstrong is an emerging leader in the field of systems neuroscience with a rich academic background and a global research footprint. Starting with a strong foundation in pharmacology from the University of Manchester and early research experience in China, he has built an interdisciplinary career that bridges experimental, computational, and translational neuroscience. His Ph.D. work at the University of Illinois Urbana-Champaign, under the guidance of Prof. Yurii Vlasov, focuses on the neural mechanisms of perceptual decision-making using innovative tools like tactile virtual reality and localized lesioning techniques. He has also played integral roles in teaching, mentoring, and collaborative NIH-funded research involving cutting-edge neural probes. His contributions span from fundamental neuroscience to neuroengineering, with multiple international presentations and a growing reputation in both academic and applied research communities.

Profile

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šŸŽ“ Early Academic Pursuits

Alex Armstrongā€™s journey into the world of neuroscience began with a strong academic foundation in Pharmacology at the University of Manchester, where he earned a BSc (Honors) degree in 2017. During his undergraduate studies, he delved into the neural effects of psychoactive substances, leading a research project examining the influence of various drugs on receptive fields in the rat lateral geniculate nucleus. His academic curiosity was not confined to the lab; Alex actively mentored disadvantaged youth in science and mathematics through the CityWise charity, demonstrating an early commitment to both education and societal impact. His academic appetite took a global turn when he received a competitive scholarship to Nanjing Medical University in China. There, he shadowed urologists and contributed to prostate cancer research by processing tumor samples and supporting manuscript preparation under the mentorship of Dr. Jian Lin. This early immersion into translational research laid the groundwork for his future endeavors in systems neuroscience.

šŸ§  Research Focus and Innovation

Currently pursuing his Ph.D. at the University of Illinois Urbana-Champaign, Alex Armstrong is at the forefront of neuroscience research under the mentorship of Professor Yurii Vlasov, a member of the National Academy of Engineering. His research seeks to unravel the neural underpinnings of perceptual decision-making using advanced technologies. Alex has pioneered the development of a novel tactile virtual reality system tailored for mice, enabling precise behavioral and neural investigations in ecologically valid scenarios. His contributions also include designing a localized lesioning technique to dissect the causal roles of specific cortical regions with unmatched spatial and temporal resolution. This work reflects his deep integration of behavior, electrophysiology, histology, and computational modeling ā€” a rare confluence of skills that pushes the boundaries of systems neuroscience.

šŸ”¬ Professional Endeavors and Laboratory Leadership

Alexā€™s career includes impactful positions across globally renowned institutions. Prior to his doctoral studies, he served as a Research Technician at University College London, working in auditory neuroscience labs with PIs Jennifer Linden and Nicholas Lesica. There, he independently managed experiments related to auditory perception and hearing aid technology, leading both behavioral training and neural recordings. At UIUC, his laboratory involvement extends beyond individual research: he performs surgeries, manages mouse colonies, trains new graduate and undergraduate researchers, and leads collaborative NIH-funded projects investigating simultaneous electrical and chemical neural activity during seizures. Alex is a dependable pillar in the lab, bridging experiment and innovation through hands-on mentorship and project leadership.

šŸ† Accolades and Recognition

Alexā€™s academic and scientific contributions have been recognized at multiple levels. He has presented his work through nine conference talks and poster presentations at premier forums including Barrels, the Society for Neuroscience, and AREADNE between 2021 and 2024. His visibility within the academic community extends to teaching, where he was entrusted as a Teaching Assistant for the competitive Neural Interface Engineering course (ECE421) in 2024 and 2025, guiding over 50 students through workshops, lessons, and exam reviews. His role on the UIUC neuroscience seminar committee in 2022 further demonstrated his leadership in promoting interdisciplinary dialogue, as he invited top neuroscientists from across the world to contribute to the university’s vibrant intellectual atmosphere.

šŸ§Ŗ Scientific Contributions and Methodological Advancements

One of Alex Armstrongā€™s most significant contributions lies in his ability to blend experimental neuroscience with computational modeling. His proficiency spans advanced analytical methods including Generalized Linear Models (GLM), Drift Diffusion Models (DDM), Dimensionality Reduction, and DyNetCP, positioning him at the intersection of theory and practice. His work not only provides high-resolution insights into brain function but also informs the design of next-generation neural interface devices. His leadership in testing novel neural probes capable of simultaneously recording both electrical and chemical signals underlines his commitment to tool development in neuroscience ā€” a field critical to brainā€“machine interface technologies and precision neuromodulation.

šŸŒ Impact and Influence

Alex Armstrong’s research has both immediate and long-term scientific value. By enhancing our understanding of the cortical mechanisms underlying decision-making, his work informs the broader fields of psychology, cognitive science, and artificial intelligence. His contributions to probe testing during seizure dynamics have implications for epilepsy research, potentially opening doors for better diagnostics and treatment strategies. Furthermore, his global academic experience ā€” spanning the U.K., U.S., and China ā€” contributes to his inclusive scientific perspective and ability to work across cultural and institutional boundaries. He has not only advanced science but also nurtured future researchers through consistent mentoring and training roles.

šŸš€ Legacy and Future Contributions

Looking ahead, Alex Armstrong is poised to become a leading figure in systems neuroscience, particularly in decoding the neural basis of cognition and behavior. With a solid foundation in experimentation, programming, and tool development, he is uniquely equipped to tackle the grand challenges of brain science in the 21st century. His efforts are steadily laying a legacy of open, interdisciplinary research, bridging the biological and engineering aspects of neuroscience. Whether through innovative VR paradigms for animal behavior, high-density probe validation, or collaborative research across continents, Alex continues to pave the way for future breakthroughs in understanding the human brain.

Publication

  • Title: Targeting AXL overcomes resistance to docetaxel therapy in advanced prostate cancer
    Authors: JZ Lin, ZJ Wang, W De, M Zheng, WZ Xu, HF Wu, A Armstrong, JG Zhu
    Year: 2017

 

  • Title: Compression and amplification algorithms in hearing aids impair the selectivity of neural responses to speech
    Authors: AG Armstrong, CC Lam, S Sabesan, NA Lesica
    Year: 2022

 

  • Title: The hearing aid dilemma: amplification, compression, and distortion of the neural code
    Authors: A Armstrong, CC Lam, S Sabesan, NA Lesica
    Year: 2020

 

  • Title: Nonlinear sensitivity to acoustic context is a stable feature of neuronal responses to complex sounds in auditory cortex of awake mice
    Authors: M Akritas, AG Armstrong, JM Lebert, AF Meyer, M Sahani, JF Linden
    Year: 2024

 

  • Title: Contextual modulation is a stable feature of the neural code in auditory cortex of awake mice
    Authors: M Akritas, AG Armstrong, JM Lebert, AF Meyer, M Sahani, JF Linden
    Year: 2023

 

  • Title: Neuropeptides in the Extracellular Space of the Mouse Cortex Measured by Nanodialysis Probe Coupled with LC-MS
    Authors: K Li, W Shi, Y Tan, Y Ding, A Armstrong, Y Vlasov, J Sweedler
    Year: 2025

 

  • Title: Neural correlates of perceptual decision making in primary somatosensory cortex
    Authors: A Armstrong, Y Vlasov
    Year: 2025

 

  • Title: Perceptual decision-making during whisker-guided navigation causally depends on a single cortical barrel column
    Authors: AG Armstrong, Y Vlasov
    Year: 2025

 

 

āœ… Conclusion

Alex Armstrong exemplifies the next generation of neuroscientistsā€”technically skilled, globally experienced, and intellectually versatile. His ability to merge behavioral neuroscience with advanced computational tools and engineering innovations positions him at the forefront of brain research. As he continues to contribute to our understanding of neural dynamics and brainā€“machine interfaces, Alex is set to leave a lasting impact on neuroscience and its applications in medicine and technology. His trajectory reflects not just scientific excellence, but also a commitment to mentorship, interdisciplinary collaboration, and innovation-driven discovery.

Arockia Rosy N | Computational Neuroscience | Best Researcher Award

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Mrs. Arockia Rosy N | Computational Neuroscience | Best Researcher Award

Mrs. Arockia Rosy N, R.M.D. Engineering College, India.

N. Arockia Rosy is an accomplished Assistant Professor in Information Technology at R.M.D. Engineering College, currently pursuing her Ph.D. at Anna University. With over 15 years of teaching experience, she has made significant contributions to research and innovation in the fields of Artificial Intelligence, Machine Learning, Cloud Computing, and Data Analytics. Her academic journey includes one major research project, four peer-reviewed journal publications, a book, a pending patent, and four industry consultancy projects. She is actively involved in professional organizations such as IAENG and IFERP, with a citation index of 18 underscoring the impact of her scholarly work.

Profile

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šŸŽ“ Early Academic Pursuits

N. Arockia Rosy embarked on her academic journey with a strong foundation in Information Technology, earning her M.Tech in the field. Her passion for learning and commitment to academic excellence led her to pursue a Ph.D. at Anna University, where she continues to delve deeper into the evolving landscape of computer science and information systems. Her early academic experiences set the stage for a long and fruitful career in teaching and research, grounded in technical rigor and curiosity-driven inquiry.

šŸ‘©ā€šŸ« Professional Endeavors

With over 15 years of dedicated service in engineering education, N. Arockia Rosy has been shaping young minds as an Assistant Professor at R.M.D. Engineering College. Her professional role extends beyond traditional classroom instruction, encompassing mentorship, curriculum development, and industry engagement. Through her academic leadership, she has significantly influenced the Information Technology department, contributing to its growth and modernization in alignment with global standards.

šŸ§  Contributions and Research Focus

Arockia Rosyā€™s research portfolio reflects her deep interest in emerging technologies such as Artificial Intelligence, Machine Learning, Data Analytics, and Cloud Computing. She has completed one major research project and authored four journal articles indexed in prestigious databases like SCI and Scopus. Her scholarly output is complemented by a published book with ISBN 9798369367056 and a patent currently in process. Her work bridges theoretical innovation with practical application, addressing challenges in computational intelligence and data-driven systems.

šŸ’¼ Industry Collaboration and Innovation

Actively connecting academia with the tech industry, she has participated in four consultancy projects that apply academic expertise to solve real-world IT problems. These engagements underscore her ability to translate theoretical knowledge into scalable industry solutions. Her involvement in consultancy also fosters valuable collaborations that benefit both her students and the broader technological community.

šŸ“ˆ Accolades and Recognition

N. Arockia Rosy’s research has earned her a citation index of 18, indicating the growing relevance and acknowledgment of her scholarly contributions within the global research community. She is a proud member of professional bodies such as the International Association of Engineers (IAENG) and the Institute For Engineering Research and Publication (IFERP), through which she maintains an active presence in the broader scientific discourse.

šŸŒ Impact and Influence

Beyond her publications and projects, Arockia Rosyā€™s influence is seen in her efforts to integrate cutting-edge research into the classroom, preparing students for the demands of a technology-driven future. Her innovative teaching methodologies and commitment to academic integrity have helped foster a generation of IT professionals equipped with both theoretical acumen and practical skill.

šŸŒŸ Legacy and Future Contributions

Looking ahead, N. Arockia Rosy aspires to expand her research in AI-driven cloud solutions and intelligent analytics. Her legacy lies not only in her scholarly work and industrial contributions but also in her unwavering commitment to shaping the next wave of technology leaders. With continued efforts in research, education, and innovation, she is poised to leave an indelible mark on the academic and technological landscapes alike.

Publication

Title: A Real-Time Auditing System for Secure Storage Using QR Code
Authors: P. Baby Shamini, P. Jemi Gold, K. Neela, R. Hemala, B. Jaison

 

āœ… Conclusion

Through her unwavering dedication to research, education, and industry collaboration, N. Arockia Rosy exemplifies the role of a modern educator and researcher. Her work bridges the gap between theory and practice, fostering technological innovation and inspiring future professionals. As she continues to pursue advanced research and contribute to the academic community, her influence is set to growā€”leaving a meaningful legacy in both academia and the ever-evolving tech landscape.

Hamid Haj Seyyed Javadi | Computer Engineering | Outstanding Scientist Award

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Prof. Dr. Hamid Haj Seyyed Javadi | Computer Engineering | Outstanding Scientist Award

Prof. Dr. Hamid Haj Seyyed Javadi,Ā  shahed University, Iran.

Prof. Hamid Haj Seyyed Javadi is a leading Iranian academic in computer engineering with nearly two decades of experience. He holds advanced degrees in mathematics and computer science from Amirkabir University of Technology. His research interests cover algorithms theory, security networks, computer algebra, and non-commutative algebra. Through his professorship at Shahed University, he has influenced many through both research and mentorship, earning repeated recognition for his excellence in teaching and innovation.

Profile

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šŸŽ“ Early Academic Pursuits

From an early stage in his academic journey, Prof. Hamid Haj Seyyed Javadi displayed a profound interest in the interplay between mathematics and computer science. He began his higher education at the prestigious Amirkabir University of Technology in Tehran, where he earned both his M.Sc. in Computer Mathematics and Computer Science in 1996 and his Ph.D. in Mathematics and Computer Science in 2003. His academic foundation was deeply rooted in rigorous mathematical logic and computational theories, which laid the groundwork for his future innovations in algorithms and security.

šŸ§  Professional Endeavors in Academia

Prof. Javadi currently holds a professorship in the Department of Computer Engineering at Shahed University in Tehran. Over the course of nearly two decades, he has built a distinguished career in both teaching and research. His role goes beyond the classroomā€”he has been actively involved in curriculum development, graduate supervision, and collaborative academic projects. His dedication has significantly elevated the academic reputation of the universityā€™s computer engineering program.

šŸ” Contributions and Research Focus

Prof. Javadiā€™s research focus spans several cutting-edge domains within computer science. He is particularly renowned for his theoretical contributions to algorithms, the architecture of secure networks, and his exploration into computer algebra. Notably, his studies in non-commutative algebra and its application to computational systems have positioned him as a thought leader in theoretical computing. His work often bridges abstract mathematical concepts with practical engineering challenges, offering robust solutions to problems in cybersecurity and symbolic computation.

šŸ† Accolades and Recognition

Throughout his career, Prof. Javadi has garnered widespread recognition for his academic excellence. His unwavering commitment to research and education has earned him the title of Top Researcher at Shahed University more than ten times. Furthermore, he has been celebrated as an Exemplary Professor on several occasions, a testament to his impactful teaching style and mentorship. These accolades reflect not only his scholarly achievements but also his dedication to nurturing the next generation of engineers and researchers.

šŸŒ Impact and Influence

Prof. Javadi’s influence extends far beyond the university walls. Through the supervision of numerous graduate and doctoral theses, he has shaped the careers of many budding scientists and engineers who now contribute to academia and industry both within Iran and internationally. His research in security networks and computational algebra continues to inspire scholarly discourse, and his published works are frequently cited by fellow researchers across the globe.

šŸ” Legacy of Innovation

His pioneering efforts in algorithmic theory and secure network design represent a lasting legacy in computer science education and research. Prof. Javadiā€™s approach combines deep theoretical insights with real-world applicability, ensuring that his contributions remain relevant in a rapidly evolving technological landscape. His legacy is not only embedded in his scholarly output but also in the academic culture he has fosteredā€”a culture of inquiry, rigor, and innovation.

Publication

  • Title: Internet of Things applications: A systematic review
    Authors: P Asghari, AM Rahmani, HHS Javadi
    Year: 2019

 

  • Title: Service composition approaches in IoT: A systematic review
    Authors: P Asghari, AM Rahmani, HHS Javadi
    Year: 2018

 

  • Title: A secure remote health monitoring model for early disease diagnosis in cloud-based IoT environment
    Authors: S Akhbarifar, H Haj Seyyed Javadi, AM Rahmani, M Hosseinzadeh
    Year: 2020

 

  • Title: Cyber kill chain-based taxonomy of advanced persistent threat actors: Analogy of tactics, techniques, and procedures
    Authors: PN Bahrami, A Dehghantanha, T Dargahi, RM Parizi, KKR Choo, …
    Year: 2019

 

  • Title: Using particle swarm optimization for robot path planning in dynamic environments with moving obstacles and target
    Authors: AZ Nasrollahy, HHS Javadi
    Year: 2009

 

  • Title: Using cipher key to generate dynamic S-box in AES cipher system
    Authors: R Hosseinkhani, HHS Javadi
    Year: 2012

 

  • Title: Efficient clustering in collaborative filtering recommender system: Hybrid method based on genetic algorithm and gravitational emulation local search algorithm
    Authors: T Mohammadpour, AM Bidgoli, R Enayatifar, HHS Javadi
    Year: 2019

 

  • Title: Internet of Things architecture challenges: A systematic review
    Authors: T Samizadeh Nikoui, AM Rahmani, A Balador, H Haj Seyyed Javadi
    Year: 2021

 

  • Title: A medical monitoring scheme and healthā€medical service composition model in cloudā€based IoT platform
    Authors: P Asghari, AM Rahmani, H Haj Seyyed Javadi
    Year: 2019

 

  • Title: Privacy-aware cloud service composition based on QoS optimization in Internet of Things
    Authors: P Asghari, AM Rahmani, HHS Javadi
    Year: 2022

 

šŸ”š Conclusion

Prof. Javadiā€™s academic journey reflects a harmonious blend of intellectual depth, research excellence, and educational impact. As both a scientist and an educator, he continues to push the boundaries of knowledge while inspiring future leaders in computer engineering. His legacy is secure, and his ongoing work assures a continued contribution to the global research community.