Vijayakumar Ponnusamy | computer science | Best Researcher Award

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Prof. Dr. Vijayakumar Ponnusamy | computer science | Best Researcher Award

Professor, SRM IST, India

🎓 Dr. Ponnusamy Vijayakumar, a renowned academician and researcher from India, is currently a Professor in the Department of Electronics and Communication Engineering at SRM University, Kattankulathur, Tamil Nadu. With expertise spanning machine learning, wireless communication, cognitive radio, image processing, signal processing, and biomedical engineering, he has significantly contributed to cutting-edge research and innovation in these domains. A dedicated educator and a lifelong learner, he combines theoretical knowledge with practical applications to inspire the next generation of engineers. 🌟

Publication Profile

ORCID

Strengths for the Award

  1. Extensive Academic Contributions
    • Published 111 research articles in prestigious journals like IEEE Access, Diagnostics, and Electronics. His work demonstrates depth and diversity in fields such as machine learning, wireless communication, cognitive radio, and biomedical signal processing.
    • Recent impactful publications include work on federated machine learning, IoT security, and real-time monitoring, showcasing his expertise in current technological advancements.
  2. Research Grants and Industry Collaboration
    • Secured significant funding for research, including a multi-year grant from the Board of Research in Nuclear Sciences for raw data processing in X-ray baggage inspection systems, and contracts with NI AWR for projects on chaotic communication systems and V2V communication. These achievements highlight his ability to translate research into practical applications.
  3. Professional Recognition and Memberships
    • Active member of IEEE since 2012 and the Indian Science Congress Association since 2008, demonstrating his integration into global and national research communities.
  4. Teaching and Mentorship
    • A Professor at SRM University since 2005, he has contributed significantly to educating and mentoring students in electronics and communication engineering (ECE).
  5. Interdisciplinary Expertise
    • His work spans diverse areas, such as image processing, signal processing, and biomedical applications, reflecting his adaptability and interdisciplinary approach.

Areas for Improvement

  1. International Collaboration
    • While his publications and funding demonstrate significant achievements, more collaboration with international researchers or institutions could enhance the global impact of his work.
  2. Community Engagement and Outreach
    • Greater involvement in organizing or chairing international conferences, workshops, or symposiums could further establish him as a thought leader in his domain.
  3. Patent Portfolio
    • Expanding his research outputs into patented technologies might demonstrate the commercialization potential of his work and further strengthen his profile for awards.

Education

📚 Dr. Vijayakumar has a strong academic foundation, beginning with his B.E. in Electronics and Communication Engineering from the University of Madras (1996–2000). He pursued his M.E. in Applied Electronics at Anna University, Chennai (2003–2006), and later earned his Ph.D. in ECE from SRM University (2012–2018), specializing in advanced technological applications. 🎓

Experience

🔬 Since 2005, Dr. Vijayakumar has been shaping young minds and advancing research as a Professor in the Department of ECE at SRM University, Tamil Nadu. His tenure is marked by numerous successful projects, groundbreaking research, and dedication to excellence in teaching and innovation. 🏫

Research Interests

💡 Dr. Vijayakumar’s research interests are diverse, encompassing machine learning, wireless communication, cognitive radio, image processing, signal processing, and biomedical applications. His multidisciplinary approach has enabled impactful advancements in technology and healthcare. 🌐

Awards

🏆 Dr. Vijayakumar has received significant recognition for his work, securing prestigious grants and contracts, including funding from the Board of Research in Nuclear Sciences (BRNS) for innovative X-ray inspection systems, and collaborations with NI AWR (USA) on V2V communication and chaotic communication systems. His contributions continue to influence academia and industry. 🎖️

Publications

“Real-Time Monitoring and Assessment of Rehabilitation Exercises for Low Back Pain through Interactive Dashboard Pose Analysis Using Streamlit—A Pilot Study”
Electronics, 2024-09-23. DOI: 10.3390/electronics13183782

“Survey on electrocardiography signal analysis and diabetes mellitus: unraveling the complexities and complications”
International Journal of Electrical and Computer Engineering (IJECE), 2024-04-01. DOI: 10.11591/ijece.v14i2.pp1565-1571

“Enhancement of Ambulatory Glucose Profile for Decision Assistance and Treatment Adjustments”
Diagnostics, 2024-02-16. DOI: 10.3390/diagnostics14040436

“An Integrated Federated Machine Learning and Blockchain Framework With Optimal Miner Selection for Reliable DDOS Attack Detection”
IEEE Access, 2024. DOI: 10.1109/ACCESS.2024.3413076

“Genetic Algorithm and the Kruskal–Wallis H-Test-Based Trainer Selection Federated Learning for IoT Security”
IEEE Access, 2024. DOI: 10.1109/ACCESS.2024.3450836

Conclusion

Dr. Ponnusamy Vijayakumar’s prolific research output, funding achievements, and interdisciplinary expertise make him a strong candidate for the “Best Researcher Award.” His contributions to advancing technology in machine learning, cognitive systems, and biomedical engineering are notable, and his work addresses both academic and industrial challenges. Addressing areas like international collaboration and commercialization could further elevate his candidacy in future awards.

 

Obsa Gilo Wakuma | Computer Science | Best Researcher Award

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Dr. Obsa Gilo Wakuma | Computer Science | Best Researcher Award

Ass. Prof, Wallaga University, Ethiopia

Dr. Obsa Gilo Wakuma is a dedicated computer scientist specializing in deep learning and domain adaptation. With extensive experience in academia, he has contributed significantly to the field through his research and teaching. Dr. Obsa has held various positions at Wallaga University, Ethiopia, and currently serves as a research scholar at the Indian Institute of Technology Patna, India. His expertise spans multiple programming languages and database management systems, making him a versatile and valuable contributor to the field of computer science.

Profile

Strengths for the Award:

  1. Extensive Research Background: Dr. Obsa Gilo has a robust academic background, culminating in a Ph.D. in Computer Science and Engineering with a focus on deep learning approaches for efficient domain adaptation. His research in domain adaptation, particularly in sensor data and image classification, showcases his innovative contributions to the field.
  2. Publications: Dr. Gilo has a significant number of publications in reputed journals and conference proceedings. Notable among them are:
    • “Kernel bures metric for domain adaptation in sensor data” in Expert System with Applications (2024)
    • “Subdomain adaptation via correlation alignment with entropy minimization for unsupervised domain adaptation” in Pattern Analysis and Applications (2024)
    • “Rdaot: Robust unsupervised deep sub-domain adaptation through optimal transport for image classification” in IEEE Access (2023)
  3. Teaching and Mentoring: His employment history includes roles such as Lecturer and Graduate Assistant at Wallaga University, demonstrating his commitment to education and mentoring the next generation of scholars.
  4. Skills and Competencies: Dr. Gilo possesses strong technical skills in various programming languages, databases, and web development technologies, along with proficiency in English, Afaan Oromoo, and Amharic. This multilingual ability enhances his capacity to engage with diverse communities.
  5. Community Service: His experience includes academic research, teaching, training, consultation, and community service, reflecting a well-rounded professional dedicated to both academic and societal contributions.

Areas for Improvement:

  1. Practical Community Impact: While Dr. Gilo has an impressive academic and research portfolio, there could be more emphasis on the practical application of his research directly benefiting local communities. Highlighting specific projects or initiatives where his work has directly impacted community development would strengthen his case.
  2. Collaboration with Local Institutions: Greater collaboration with local institutions and involvement in projects addressing community-specific issues could further enhance his profile. Establishing partnerships with local universities, NGOs, or governmental bodies to implement his research findings in real-world settings would be beneficial.
  3. Visibility and Outreach: Increasing the visibility of his work through public lectures, community workshops, or outreach programs can help in demonstrating the broader societal impact of his research. Engaging with the community through these platforms can showcase the practical benefits of his research.

 

Education: 🎓

Dr. Obsa Gilo Wakuma holds a Ph.D. in Computer Science and Engineering from the Indian Institute of Technology Patna, with a thesis on “Deep Learning Approaches for Efficient Domain Adaptation.” He earned his M.Sc. in Computer Science from Wallaga University, where he developed an Information Extraction Model for Afaan Oromo news texts. Dr. Obsa also holds a B.Sc. in Computer Science from Wallaga University and has a strong foundation from Sibu Sire Preparatory and High School.

Experience: 💼

Dr. Obsa’s professional journey includes roles such as Recorder and Laboratory Technician at Wallaga University. He progressed to become a Graduate Assistant, Lecturer, and finally a Research Scholar at IIT Patna. His career reflects a blend of administrative, technical, and academic responsibilities, showcasing his diverse skill set and commitment to the field.

Research Interests: 🔍

Dr. Obsa’s research interests lie in deep learning, domain adaptation, and unsupervised learning. He has focused on developing efficient methods for domain adaptation in sensor data and image classification, contributing to several high-impact publications. His work aims to enhance the applicability and robustness of machine learning models in diverse environments.

Awards: 🏆

Dr. Obsa has been recognized for his academic excellence and research contributions throughout his career. He has received accolades for his innovative work in domain adaptation and deep learning, highlighting his role as a prominent researcher in the field of computer science.

Publications

  1. Unsupervised Sub-Domain Adaptation Using Optimal Transport. Journal of Visual Communication and Image Representation, 94, 103857. Cited by: 1 article.
  2. Kernel Bures Metric for Domain Adaptation in Sensor Data. Expert System with Applications, 255(Part C), 124725. Cited by: 1 article.
  3. Subdomain Adaptation via Correlation Alignment with Entropy Minimization for Unsupervised Domain Adaptation. Pattern Analysis and Applications, 27(1), 13. Cited by: 1 article.
  4. RDAOT: Robust Unsupervised Deep Sub-Domain Adaptation through Optimal Transport for Image Classification. IEEE Access. Cited by: 1 article.
  5. Integration of Discriminate Features and Similarity Preserving for Unsupervised Domain Adaptation. In 2022 IEEE 19th India Council International Conference (INDICON), pp. 1–6. Cited by: 1 article.

 

Malgorzata Makowska-Janusik | Quantum Computing | Women Researcher Award

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Prof Dr. Malgorzata Makowska-Janusik | Quantum Computing | Women Researcher Award

Faculty of Science and Technology, Jan Dlugosz University, Poland

🌟 Prof. Dr. Hab. Małgorzata Makowska-Janusik is a distinguished professor of physics at Jan Dlugosz University in Czestochowa, Poland. Born in 1970, she has dedicated her career to advancing the field of physics through research, teaching, and leadership roles. Since 2020, she has served as the head of the Department of Photoinduced Phenomena and has been recognized with numerous awards for her professional achievements.

Profile

Google Scholar

 

Education

🎓 Prof. Makowska-Janusik earned her Doctor of Science degree in 1998 from Silesian Technical University in Gliwice, Poland. In 2011, she completed her habilitation in physics at Silesian University in Katowice, Poland. Her extensive academic journey has been marked by prestigious scholarships and fellowships, including a postdoc position at the University of Maine in Le Mans, France, and a Marie Curie fellowship at the National Hellenic Research Foundation in Athens, Greece.

Experience

🧑‍🏫 Prof. Makowska-Janusik began her academic career as a trainee assistant and assistant at the Institute of Physics, Pedagogical University in Czestochowa from 1993 to 1998. She then joined Jan Dlugosz University, where she served as an adjunct from 1998 to 2011, and later as a professor of physics. Her leadership roles include Deputy Director for Student Affairs, Vice Dean for Research, and Dean of the Faculty of Science and Technology.

Research Interests

🔬 Prof. Makowska-Janusik’s research interests are vast, focusing on photoinduced phenomena, nonlinear optical properties of composite materials, and nanomaterials for photocatalytic and photovoltaic applications. She has been involved in numerous international collaborations and has directed several significant research projects.

Awards

🏆 Prof. Makowska-Janusik has received multiple accolades for her contributions to science, including the prestigious title of professor of science (physical sciences) from the President of the Republic of Poland in 2020. She is a scholarship holder of the Foundation for Polish Science and a Marie Curie fellow. Additionally, she has been honored with the first-level prize of the Rector of Jan Dlugosz University for her professional achievements multiple times.

Publications

Corrosion inhibition of mild steel in 1M HCl by D-glucose derivatives of dihydropyrido [2, 3-d: 6, 5-d′] dipyrimidine-2, 4, 6, 8 (1H, 3H, 5H, 7H)-tetraone

Photoluminescence features on the Raman spectra of quasistoichiometric SiC nanoparticles: Experimental and numerical simulations

Zinc induced a dramatic enhancement of the nonlinear optical properties of an azo-based iminopyridine ligand

SiC nanocrystals embedded in oligoetheracrylate photopolymer matrices; new promising nonlinear optical materials

Optical poling of oligoether acrylate photopolymers doped by stilbene-benzoate derivative chromophores