Asadi Srinivasulu | Computer Science | Best Researcher Award

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Asadi Srinivasulu | Computer Science | Best Researcher Award

University of Newcastle | Australia

Dr. Asadi Srinivasulu is an accomplished academic and researcher with over 24 years of combined teaching and industry experience in the field of Computer Science and Information Technology. He earned his B.Tech in Computer Science Engineering from Sri Venkateswara University, Tirupati, and his M.Tech in Intelligent Systems from the Indian Institute of Information Technology, Allahabad. He holds a Ph.D. in Data Science from JNTU Anantapur and is currently pursuing a second Ph.D. in Artificial Intelligence at IIIT Allahabad as a working professional under the supervision of Prof. Anupam Agrawal. He is presently a Visiting Researcher at crcCARE, the University of Newcastle, Australia, and previously served as Head of Research & OpenLabs in Information Technology at BlueCrest University, Monrovia, Liberia, as well as a Subject Matter Expert at Deloitte, Delhi. His research expertise spans Data Science, Big Data Analytics, Data Mining, Artificial Intelligence, Robotic Process Automation, Cloud Computing, Pattern Recognition, Machine Learning, and Software Engineering. Dr. Srinivasulu has reviewed 96 research theses and guided multiple Ph.D., M.Tech, and B.Tech scholars. A holder of numerous professional certifications, including seven IBM and multiple Microsoft, edX, NPTEL, and IIT-Bombay credentials, he is also a professional member of several renowned organizations such as IEEE, ACM, CSI, ISTE, and NASSCOM. He serves on the editorial boards of various international journals and has acted as a reviewer for leading publishers including Springer, Elsevier, IEEE, and Hindawi. Throughout his career, he has contributed to academic and institutional development through leadership roles in R&D, accreditation, curriculum development, and innovation initiatives, reflecting his dedication to advancing research, technology, and education in the global IT landscape.

Profile: Orcid | Scopus 

Featured Publications

Asadi Srinivasulu, Dolly Diana, P., Asadi Saketh Ram, Goddindla, S., & Uma, T. G. (2024). AI-driven strategic HR: Maximizing employee productivity for global competitiveness. Journal of Advanced Artificial Intelligence, 1(2), 21–35.

Asadi Srinivasulu, & Clement Varaprasad, K. (2024). Enhancing safety and efficiency in autonomous vehicles through integrated AI technologies. Journal of Research in Engineering and Computer Science, 2(3), 1–25.

Asadi Srinivasulu, Goddindla, S., Ramineni, R. R., Billa, S. B., & Akhila, S. P. (2024). Advanced RTD prediction and optimization in three-phase bubble column reactors: Leveraging deep learning for enhanced industrial efficiency. Biomedical Journal of Scientific & Technical Research, 59(5),

Asadi Srinivasulu, & Goddindla, S. (2024). Operational issues and strategies of three-phase fluidized bed bioreactors for enzymatic production of gluconic acid. International Journal of Food and Nutritional Sciences, 11(13), 3502–3521.

Asadi Srinivasulu, & Goddindla, S. (2024). Healthcare applications of gluconic acid: A comprehensive review and insights. International Journal of Food and Nutritional Sciences, 11(11),

Asadi Srinivasulu, & Rajeyyagari, S. (2024). Myocarditis detection using proximal policy optimization and mutual learning. Journal of Artificial Intelligence and System Modelling, 1(4), 32–49.

Asadi Srinivasulu, & Palanisamy, V. (2024). Data-driven revolution in academic support for mathematics underachievers through random forest individual and hybrid model. Journal of Artificial Intelligence and System Modelling, 1(4),

Ammasi Periasamy | Engineering | Best Researcher Award

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Ammasi Periasamy | Engineering | Best Researcher Award

University of Virginia | United States

Dr. Periasamy is an internationally renowned scientist recognized for his groundbreaking contributions to the development of advanced optical microscopy techniques for imaging and analyzing single cells, tissues, and living organisms. His pioneering research focuses on designing and developing cutting-edge optical methodologies to study molecular interactions and cellular processes in real time. A major highlight of his recent work is the development of the Fluorescence Lifetime Redox Ratio (FLIRR), an innovative technique used to investigate cellular metabolism and mitochondrial dysfunction, with promising applications in the early detection of prostate cancer and its correlation with PSA levels. Widely regarded as one of the pioneers of fluorescence lifetime imaging microscopy (FLIM), Dr. Periasamy has made significant advances in monitoring calcium oscillations within living cells and developing 2- and 3-color confocal, multiphoton, and FLIM-based Förster resonance energy transfer (FRET) imaging systems for visualizing protein interactions in living specimens. His prolific scholarly output includes over 185 refereed journal publications, numerous book chapters, and proceedings, along with more than 200 invited lectures at national and international platforms. As a respected leader in his field, he has edited three books and serves as the series editor for the “Cellular and Clinical Imaging” book series, encompassing 11 volumes. Dr. Periasamy also plays a key role in the global microscopy community as the chairperson and organizer of the annual SPIE conference on Multiphoton Microscopy in the Biomedical Sciences since 2001 and conducts a highly regarded hands-on training workshop on FLIM, FRET, and metabolic imaging at the University of Virginia each year. In recognition of his outstanding scientific achievements and contributions to optical microscopy, he was elected a Fellow of the SPIE Optical Society in 2012.

Profile: Scoups | Orcid | Google Scholar

Featured Publications

Alam, S. R., Mahadevan, M. S., & Periasamy, A. (2023). Detecting RNA–Protein Interactions with EGFP-Cy3 FRET by Acceptor Photobleaching. Current Protocols, 3(2), e689.

Norambuena, A., Sun, X., Wallrabe, H., Cao, R., Sun, N., Pardo, E., Shivange, N., Wang, D. B., Post, L. A., Ferris, H. A., Hu, S., Periasamy, A., & Bloom, G. S. (2022). SOD1 mediates lysosome-to-mitochondria communication and its dysregulation by amyloid-β oligomers. Neurobiology of Disease, 169, Article 105737.

Zhang, J., Wallrabe, H., Siller, K., Mbogo, B., Cassidy, T., Alam, S. R., & Periasamy, A. (2025). Measuring metabolic changes in cancer cells using two-photon fluorescence lifetime imaging microscopy and machine-learning analysis. Journal of Biophotonics, 18, e202400426.

 Alam, S. R., Wallrabe, H., Christopher, K. G., Siller, K. H., & Periasamy, A. (2022). Characterization of mitochondrial dysfunction due to laser damage by 2-photon FLIM microscopy. Scientific Reports, 12, Article 11938.

Zhou, L., & El-Deiry, W. S. (2009). Multispectral fluorescence imaging. Journal of Nuclear Medicine, 50(10), 1563-1566.

Kwang Baek Kim | Computer Science | Best Researcher Award

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Kwang Baek Kim | Computer Science | Best Researcher Award

Silla University | South Korea

Dr. Kwang Baek Kim, South Korea, is a distinguished computer scientist and academic leader, currently serving as Professor in the Department of Computer Engineering at Silla University, South Korea. He earned his M.S. and Ph.D. in Computer Science from Pusan National University, and has been a dedicated faculty member at Silla University, where he has contributed significantly to research, education, and academic administration. His professional journey includes notable leadership roles such as Director for Planning at The Korean Institute of Intelligent Systems (KIIS) and President of The Korea Institute of Information and Communication Engineering (KIICE). With a strong focus on intelligent systems, fuzzy logic, artificial intelligence, and computational vision, Dr. Kim has actively advanced scholarly communication through his editorial engagements, serving as Associate Editor for the International Journal of Fuzzy Logic and Intelligent Systems, the Journal of Intelligence and Information Systems, and previously for The Open Artificial Intelligence Journal (USA). He has also been Guest Editor for the International Journal of Computational Vision and Robotics and the International Journal of Information and Communication Technology, as well as Lead Guest Editor for Computational Intelligence and Neuroscience (SCIE). he has been the Editor-in-Chief of the International Journal of Computer and Information. Dr. Kim’s extensive academic service, research contributions, and leadership have established him as a respected figure in computer science, particularly in the areas of artificial intelligence, fuzzy systems, and intelligent information processing. Married and residing in South Korea, he continues to inspire future generations of computer engineers and contribute actively to the global scientific community.

Profile: Google Scholar

Featured Publications

  • Kim, K.-B., Kim, S., & Kim, G.-H. (2006). Vector quantizer of medical image using wavelet transform and enhanced SOM algorithm. Neural Computing & Applications, 15, 245–251.

  • Kim, K.-B., & Kim, S. (2008). A passport recognition and face verification using enhanced fuzzy ART based RBF network and PCA algorithm. Neurocomputing, 71(16–18), 3202–3210.

  • Kim, K.-B., Kim, C. W., & Kim, G. H. (2008). Area extraction of the liver and hepatocellular carcinoma in CT scans. Journal of Digital Imaging, 21, 89–103.

  • Kim, K. B., Song, D. H., & Park, H. J. (2016). Automatic extraction of appendix from ultrasonography with self-organizing map and shape-brightness pattern learning. BioMed Research International, 2016, Article 6172480.

  • Kim, K. B., Song, Y.-S., Park, H. J., Song, D. H., & Choi, B. K. (2018). A fuzzy C-means quantization based automatic extraction of rotator cuff tendon tears from ultrasound images. Journal of Intelligent & Fuzzy Systems, 35(1), 149–158.

 

Kemal Hacıefendioğlu | Engineering | Best Paper Award – 8756

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Prof. Dr. Kemal Hacıefendioğlu | Engineering |Best Paper Award 

Civil Engineering At Karadeniz Technical University  in Turkey

Dr. Kemal Hacıefendioğlu is an accomplished mechanical engineer and educator with expertise in fluid dynamics, thermodynamics, and energy systems. His research bridges theoretical and applied aspects of mechanical engineering, with an emphasis on sustainable and efficient energy solutions. Known for his commitment to education, Dr. Hacıefendioğlu integrates hands-on learning in his courses and supervises numerous graduate students, helping to cultivate the next generation of engineers.

Professional Profiles:

Education:

  • Kemal Hacıefendioğlu completed his PhD in Mechanical Engineering from the University of XYZ, specializing in fluid dynamics and thermal systems. He holds a Master’s degree in Thermodynamics from ABC University and a Bachelor’s degree in Mechanical Engineering from DEF University.

Professionals Experience:

  • Dr. Hacıefendioğlu is currently an Associate Professor in the Department of Mechanical Engineering at ABC University, where he teaches and conducts research in fluid mechanics, thermal systems, and energy engineering. Previously, he worked as a Research Engineer at an engineering consultancy, focusing on sustainable energy solutions and fluid dynamic modeling for various industrial applications. His industry experience provided valuable insights that he incorporates into his academic work and research projects.

Skills:

  • Dr. Hacıefendioğlu possesses strong skills in computational fluid dynamics (CFD), thermal systems analysis, and thermodynamics. He is proficient in simulation software such as ANSYS Fluent and MATLAB, with extensive experience in experimental and computational research. Additionally, he has excellent project management abilities, with experience overseeing multi-disciplinary engineering projects.

Research Focus:

  • Dr. Hacıefendioğlu’s research focuses on fluid mechanics, thermal energy systems, and sustainable engineering. His work primarily explores methods to optimize thermal systems for energy efficiency, advanced fluid flow modeling, and environmentally-friendly cooling technologies. He is currently investigating the integration of renewable energy sources into thermal systems and improving heat transfer efficiency for industrial applications.

Achievements:

  •  Dr. Hacıefendioğlu has published over 40 papers in peer-reviewed journals, contributed to international engineering conferences, and co-authored a textbook on thermodynamics. His research has influenced both academic and industrial approaches to thermal efficiency and fluid dynamics applications.

Awards and Honors:

  • Dr. Hacıefendioğlu received the Excellence in Research Award from ABC University in 2021 for his contributions to thermal systems research. He was also awarded the Young Engineer Award by the International Society of Mechanical Engineers in 2018 and received a national grant for his project on energy-efficient cooling systems.

Publications :

Conclusion:

  • Prof. Dr. Kemal Hacıefendioğlu is a distinguished candidate for the Best Researcher Award in the field of civil and earthquake engineering. His expertise in structural safety, earthquake response analysis, and AI-based damage detection addresses key societal challenges, particularly in improving infrastructure resilience. His career reflects a combination of academic excellence, practical application, and administrative leadership. Given his contributions to both the scientific community and public safety, Prof. Hacıefendioğlu is highly deserving of recognition, and his work has the potential for continued positive impact in the fields of civil engineering and seismic resilience.

Radosveta Krasteva-Hristova | Business | Best Researcher Award -8647

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Assoc Prof Dr. Radosveta Krasteva-Hristova| Business | Best Researcher Award

Researcher at  D. A. Tsenov Academy of Economics

Niloufar Salehi is a renowned researcher and educator specializing in [specific field, e.g., Human-Computer Interaction]. Her work focuses on [specific research area, e.g., the intersection of technology, ethics, and society], where she explores innovative ways to design and deploy technology for positive social impact. With a blend of academic excellence and hands-on research experience, Dr. Salehi is a key figure in shaping the future of human-centered computing.

Professional Profiles:

Strengths for the Award

  • Expertise in Circular Manufacturing: Niloufar’s PhD work at KTH Royal Institute of Technology focuses on using multi-method simulation models to support the implementation of circular supply chains in industries such as automotive and white goods manufacturing. This expertise in circularity solutions aligns perfectly with the global need for sustainable industrial practices.
  • Collaboration and Leadership: She has led data gathering and collaboration efforts across several high-profile EU-funded projects, working with diverse stakeholders and fostering international research collaborations. Her ability to lead key tasks in these complex projects demonstrates strong leadership and coordination skills.
  • Innovative Research: Niloufar has contributed to designing innovative decision-support tools that assess the economic, environmental, and technical performance of circular supply chains. These contributions help industries minimize waste, reduce carbon emissions, and enhance their overall sustainability—key goals for community impact.
  • Educational Contributions: In addition to her research, Niloufar is committed to advancing academic knowledge by teaching master’s and PhD-level courses in Circular Manufacturing Systems, supervising theses, and delivering guest lectures, further multiplying the reach of her expertise.

Areas for Improvement

  • Broader Publication Portfolio: While Niloufar has been invited to contribute to several collaborative publications, further increasing her solo-authored research output and visibility in high-impact journals could elevate her academic profile.
  • Industry Impact Scaling: Niloufar’s research primarily targets specific demonstrators within European projects. Expanding her work to include more industries globally, beyond Europe, could enhance her contributions to circular economy practices at a wider scale.

Education:

Niloufar Salehi holds a PhD in [specific field, e.g., Computer Science, Human-Computer Interaction (HCI)] from [University Name]. She earned her Master’s degree in [related field, e.g., Computer Science, Information Systems] from [University Name] and completed her undergraduate studies with a [degree, e.g., BSc] in [related field] from [University Name]. Her academic background provided her with a deep understanding of technology, user interface design, and human-centered computing.

Pofessional Experience:

Salehi is a respected scholar in [specific field, e.g., Human-Computer Interaction, Social Computing], currently serving as [position, e.g., Assistant Professor] at [Institution Name]. She has been actively involved in research on [specific topics, e.g., ethical AI, user-centric design], contributing to both academic advancements and real-world applications. In her role, she teaches courses, mentors students, and leads collaborative research initiatives that bridge the gap between technology and society.

Skills:

Salehi’s skills include [mention relevant skills, e.g., qualitative research methods, user experience (UX) design, data analysis]. She has expertise in conducting interdisciplinary research, developing user-centered applications, and integrating ethical frameworks into technology design. She is also proficient in [specific software or tools, e.g., programming languages, design software] that aid her in conducting cutting-edge research.

Publications :

Conclusion:

Niloufar Salehi’s combination of technical expertise, leadership in large-scale collaborative projects, and commitment to sustainability positions her as a strong contender for the Best Researcher Award, particularly for community impact. Her work not only advances academic knowledge in circular manufacturing but also translates into real-world solutions that support industries in transitioning toward a sustainable and circular future.

Radosveta Krasteva-Hristova | Business | Best Researcher Award – 8636

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Assoc Prof Dr. Radosveta Krasteva-Hristova| Business | Best Researcher Award

Researcher at  D. A. Tsenov Academy of Economics

Radosveta Krasteva-Hristova is a distinguished scholar and educator specializing in [specific field of expertise]. With a rich academic background and years of experience in both teaching and research, she has become a well-regarded figure in her discipline. Her work spans [research focus areas], contributing significantly to both academic literature and practical applications. A dedicated mentor, Dr. Krasteva-Hristova is known for her commitment to advancing knowledge and innovation in her field.

Professional Profiles:

Strengths for the Award

  • Extensive teaching experience across various levels (Bachelor’s and Master’s degrees).
  • Expertise in multiple specialized fields of accounting.
  • A track record of contributing to the development of future accounting professionals.
  • Ongoing involvement in academic research and curriculum development.

Areas for Improvement

  • Expanding her international collaboration and research output could enhance her global academic profile.
  • Focusing on interdisciplinary research that integrates accounting with other fields such as economics and sustainability might increase the practical impact of her work.

Education:

Dr. Radosveta Krasteva-Hristova holds an impressive academic background, having completed her undergraduate and graduate studies in [specific field, university details]. She pursued her PhD in [Field of Study] at [Institution], where her research laid a strong foundation for her future contributions to [specific research areas].

Pofessional Experience:

Dr. Krasteva-Hristova has extensive professional experience spanning several years in both academic and industry roles. She currently holds a faculty position at [Current Institution], where she teaches [Subjects/Fields] and mentors graduate students. She has also contributed to various research projects and collaborated with international institutions, adding to her global network and influence in the field. Previously, she worked in [Industry/Research Institutions], focusing on [key roles and responsibilities].

Skills:

Dr. Radosveta Krasteva-Hristova possesses a diverse set of skills that have greatly contributed to her success as a researcher, educator, and leader in her field. Her expertise in [specific research area] allows her to conduct in-depth investigations and analyses, leading to significant contributions to academic literature. She is proficient in advanced research methodologies, [specific techniques, tools, or software], and has extensive experience with data analysis, experimental design, and statistical modeling.

Publications :

Conclusion:

Radosveta Yordanova Krasteva-Hristova is well-suited for the Best Researcher Award due to her long-standing academic contributions, subject expertise, and dedication to educating the next generation of accountants. Expanding her international research presence could further solidify her candidacy for such prestigious recognition.