Dipesh | Computational Neuroscience | Best Researcher Award

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Assist. Prof. Dr. Dipesh | Computational Neuroscience | Best Researcher Award

Assist. Prof. Dr. Dipesh | SR University | India

Dr. Dipesh is a dedicated mathematician specializing in mathematical modeling, with extensive experience in both academic and research domains. He has made significant contributions to applied mathematics, particularly in areas intersecting numerical methods, AI/ML, and fluid dynamics. Dr. Dipesh has actively organized and coordinated multiple academic programs, including national workshops, faculty development programs, and departmental initiatives, demonstrating strong leadership in fostering educational and research excellence. His efforts in coordinating the Department of Intellectual Property Rights and successfully conducting events such as RAFAS highlight his commitment to academic growth and institutional development. Academically, he has pursued rigorous training from undergraduate to postdoctoral levels, culminating in advanced research at Harran University, Turkey. Dr. Dipesh’s scholarly output includes 30 documents that have been cited 103 times, reflecting an h-index of 7, underscoring the impact and relevance of his research contributions in applied mathematics and related interdisciplinary fields. His approach emphasizes quality teaching, student placement, institutional ranking, and enhancing the overall goodwill of the organizations he serves. Driven by a passion for tackling challenges and improving systems with limited resources, Dr. Dipesh continually seeks to connect with external environments, promote collaborative work, and advance the reach and recognition of academic institutions.

Profiles: Scopus | Orcid | Google Scholar | Research Gate | Linked In

Featured Publications

  1. Mathematical model of Cynodon Dactylon’s allelopathic effect on perennial ryegrass for exploring plant-plant interactions based upon ordinary differential equations. (2025). Partial Differential Equations in Applied Mathematics.

  2. Modelling the role of delay in blood flow dynamics in human body using delay differential equations. (2025). Physica A: Statistical Mechanics and Its Applications.

  3. On the modeling the impact of delay on stock pricing fluctuations using delay differential equations. (2025). Physica A: Statistical Mechanics and Its Applications.

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.

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

Scopus

🎓 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.

👩‍🏫 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.

🧠 Contributions and Research Focus

Arockia Rosy’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.

💼 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.

📈 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.

🌐 Impact and Influence

Beyond her publications and projects, Arockia Rosy’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.

🌟 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

 

✅ 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 grow—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,  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

Google Scholar
Orcid

 

🎓 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.

🧠 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 classroom—he has been actively involved in curriculum development, graduate supervision, and collaborative academic projects. His dedication has significantly elevated the academic reputation of the university’s computer engineering program.

🔐 Contributions and Research Focus

Prof. Javadi’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.

🏆 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.

🌐 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.

🔍 Legacy of Innovation

His pioneering efforts in algorithmic theory and secure network design represent a lasting legacy in computer science education and research. Prof. Javadi’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 fostered—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 health‐medical service composition model in cloud‐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

 

🔚 Conclusion

Prof. Javadi’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.