Mrs. Chittepu Sireesha – Deep Learning – Best Researcher Award

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Mrs. Chittepu Sireesha - Deep Learning - Best Researcher Award

SR University - India

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Summary

Sireesha Chittepu is a seasoned academic with over 15 years of teaching experience in computer science and engineering. Her educational background includes a B.Tech and M.Tech in software and computer sciences, and she is currently pursuing a Ph.D. in Computer Science and Engineering at SR University. Throughout her career, she has demonstrated strong proficiency in subjects ranging from data structures to NLP and software testing. Notably, she has contributed significantly to institutional development through her roles as a coordinator for national-level hackathons, class mentor, and virtual lab leader in collaboration with IITH. Her research interest is expanding into areas that blend software innovation with applied domains such as power electronics, where she aims to enhance the interaction between software systems and hardware frameworks. She has also designed internal tools such as attendance and feedback systems to streamline academic administration.


Early academic pursuits

Sireesha Chittepu laid the foundation of her academic journey with a strong focus on the sciences, securing 85.6% in her Intermediate studies and 82% in her SSC. She pursued her B.Tech in Computer Science and Information Technology from Rajiv Gandhi Memorial College of Engineering and Technology under JNTU, achieving 70%. Further strengthening her expertise, deep learning she completed an M.Tech in Software Engineering from VNR Vignana Jyothi Engineering College, Hyderabad, with 78%. Currently, she is pursuing a Ph.D. in Computer Science and Engineering from SR University, Telangana, aligning her research with cutting-edge trends including power electronics, AI integration, and automation.

Professional endeavors

With over 15 years of teaching experience, Sireesha Chittepu has been a cornerstone in the academic development of countless students. Her journey began in 2003 and includes tenure at Alpha College of Engineering, Sree Nidhi Institute of Science and Technology, and Stanley College of Engineering and Technology for Women. Since 2015, deep learning she has been serving as an Assistant Professor at Vasavi College of Engineering, Hyderabad, demonstrating excellence in pedagogy and department-level coordination. Her professional engagements frequently intersect with power electronics, where she integrates software systems to improve learning tools and virtual lab environments.

Contributions and research focus

Sireesha’s teaching expertise spans a wide range of computer science subjects such as Compiler Construction, Data Structures, Software Engineering, and Natural Language Processing. She has developed and implemented innovative tools such as an attendance tracking system and a feedback management system, both of which enhance academic management deep learning. Her research focus aligns with emerging technologies and includes interdisciplinary studies where software engineering intersects with hardware systems like power electronics, emphasizing system-level integration and smart computing applications.

Impact and influence

In her role as Department Coordinator for Hackathons, Co-curricular and Extracurricular Activities, and SPOC for Smart India Hackathons (2019–2020), Sireesha has mentored students in national-level innovation challenges. Her coordination with institutions like IIT-Hyderabad for virtual labs reflects her impact on advancing academic infrastructure. She also contributes to curriculum development and exam preparation, influencing academic delivery deep learning across several institutions. These contributions indirectly support power electronics education by encouraging cross-domain thinking and system-oriented learning approaches among students.

Academic cites

While her Ph.D. is ongoing, Sireesha Chittepu's academic involvement includes preparing university-level question papers, developing lesson plans, and assessing student performance through structured evaluation methods. Though no formal citation index was mentioned, her continuous evaluation roles, seminar engagements deep learning, and project mentorships suggest a strong academic presence that is evolving towards publication and citation in future academic platforms.

Legacy and future contributions

Sireesha aims to bridge the gap between education and innovation, with a long-term vision of contributing to academia through research, digital tools, and cross-disciplinary teaching. Her future goals include publishing impactful research, particularly in the convergence of software engineering and power electronics, and mentoring future educators and deep learning researchers. As she continues her doctoral research, she is poised to leave a legacy defined by practical innovation, academic excellence, and a deep commitment to student-centric learning.

Notable Publications

  1. Title: Enhancing Medicinal Plant Prediction Through Deep Neural Network Algorithms
    Authors: Munigala Swapna, Sireesha Chittepu, Sanjana Gavada, Sreeja Barigela
    Publication: Communications in Computer and Information Science (CCIS) – Book Chapter
    Year: 2025
  2. Title: Improving Air Quality Prediction: A Study on Data-Driven Techniques and Advanced Sensing Technologies
    Authors: Yeshwanth Reddy, C. Sireesha
    Publication: Lecture Notes on Data Engineering and Communications Technologies – Book Chapter
    Year: 2025
  3. Title: Dynamic Conditional Encoding and Feature Frequency Parsing in Diffusion Probabilistic Models for Diabetic Foot Ulcer Detection Using Thermographic Imaging
    Authors: Kousar Nikhath A, Sireesha C, Swapna M, Vijayetha Thoday, Esther Rani D
    Publication: Journal of Biomedical Photonics & Engineering
    Date: 2025-03-31
  4. Title: A ResNet Based Plant Disease Diagnosis Platform
    Authors: Sireesha Chittepu, Suchith B, Deepthi M
    Publication: 2025 7th International Conference on Signal Processing, Computing and Control (ISPCC)
    Date: 2025-03-06
  5. Title: Enhancing the Surveillance, Assessment, and Tracking of Mental Health and Well-being Using Deep Learning Techniques
    Authors: Sireesha Chittepu, Sheshikala Martha
    Publication: 2025 7th International Conference on Signal Processing, Computing and Control (ISPCC)
    Date: 2025-03-06

Conclusion

Sireesha Chittepu's career reflects a commitment to academic excellence, hands-on innovation, and student empowerment. Her proactive involvement in research, curriculum design, and co-curricular coordination showcases her holistic approach to education. As she continues her Ph.D., her contributions are expected to deepen, particularly in interdisciplinary research areas including power electronics, where her experience in software systems can offer new insights. Looking ahead, Sireesha is well-positioned to influence future educational practices, mentor the next generation of engineers, and contribute meaningfully to research that connects computation with real-world systems.

Mr. Abubakar Adamu – Computer Science and Artificial Intelligence – Best Paper Award

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Mr. Abubakar Adamu - Computer Science and Artificial Intelligence - Best Paper Award

Federal University of Technology Minna Nigeria and University of Malaya - Malaysia

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Summary

Adamu Abubakar is an emerging researcher and academic with a strong foundation in computer science, artificial intelligence, and telecommunications. his educational background, which includes a master's degree with distinction and an ongoing phd, reflects his dedication to academic excellence and technical mastery. professionally, he has blended academic teaching with significant industry experience at leading telecom firms, giving him a well-rounded perspective on both theoretical and practical aspects of technology.

His research interests focus on the integration of artificial intelligence into telecommunication systems, with a growing emphasis on the role of power electronics in optimizing network infrastructure and improving service delivery. his involvement in global research networks like vodan demonstrates his commitment to using technology for societal benefit.

Early academic pursuits

Adamu Abubakar began his academic journey with a bachelor’s degree in computer science from usman danfodio university sokoto, nigeria, where he laid a solid foundation in computing principles and information technology. his pursuit of excellence continued with a master of technology (m.tech) in computer science at the federal university of technology minna, where he graduated with distinction. Computer Science and Artificial Intelligence his master's thesis focused on developing an enhanced self-service software model tailored for the nigerian telecommunication sector, integrating concepts applicable in power electronics systems through efficient data processing and control mechanisms.

Currently, he is enrolled in a phd program in computer science and artificial intelligence at the federal university of technology minna. additionally, he has undertaken a phd mobility attachment program at the university of malaya, malaysia, further expanding his exposure to global research practices. he also holds a postgraduate diploma in education from the national teachers institute, reflecting his dedication to academic mentorship and teaching excellence.

Professional endeavors

Adamu Abubakar's professional career is marked by significant teaching, research, and managerial responsibilities. he presently serves as a lecturer i at ibrahim badamasi babangida university, lapai, where he teaches courses such as data communication, networking, artificial intelligence, and computer architecture. he actively supervises final-year projects, providing guidance that connects theoretical concepts with practical applications, including emerging technologies such as power electronics in telecommunication systems.

Prior to his academic role, he accumulated valuable industry experience at leading telecommunication firms in nigeria, including mtn nigeria limited and zain nigeria limited. Computer Science and Artificial Intelligence his positions in customer service and distribution management honed his leadership, technical, and organizational skills, critical in both corporate operations and academic settings.

Contributions and research focus

Adamu Abubakar’s research interests lie primarily in artificial intelligence and telecommunication technologies. his academic and industry experiences have positioned him to explore intelligent systems design, network optimization, Computer Science and Artificial Intelligence and data-driven solutions to enhance telecom services. he also emphasizes the potential applications of power electronics in smart grid communication systems and energy-efficient telecommunication infrastructure.

As a data steward in the virus outbreak data network (vodan) africa & asia covid-19 volunteer network, he contributed to data management and system analysis, reinforcing his commitment to impactful scientific research.

Impact and influence

Adamu Abubakar’s dual expertise in academia and the telecommunications industry allows him to bridge the gap between theoretical knowledge and practical solutions. his teaching impacts undergraduate and postgraduate students, inspiring the next generation of nigerian computer scientists. Computer Science and Artificial Intelligence his involvement in technological research related to artificial intelligence and power electronics has the potential to shape more efficient telecom and computing infrastructures in africa and beyond.

Academic cites

Adamu Abubakar’s master's thesis on enhanced self-service models for nigerian telecom networks remains a relevant citation for researchers developing customer-oriented software systems in developing regions. ongoing collaborations through his phd programs and attachments are expected to yield publications contributing to fields like machine learning, Computer Science and Artificial Intelligence network optimization, and the integration of power systems and power electronics in information technology.

Legacy and future contributions highlight

With a vision focused on blending artificial intelligence with telecommunication advancements, adamu abubakar aims to make long-lasting contributions to nigeria’s digital infrastructure. he is committed to further exploring the synergy between ai-driven network systems and power electronics, ensuring sustainable, energy-efficient, and intelligent telecom solutions. Computer Science and Artificial Intelligence his legacy will likely include not only scholarly publications but also the cultivation of students and professionals well-versed in next-generation technologies.

Notable Publications

  1. Title: Systematic literature review and bibliometric analysis of pipeline monitoring and leakage detection techniques
    Authors: Adamu Abubakar; Opeyemi Aderiike Abisoye; Isiaq Oludare Alabi; Adepoju Solomon; Ishaq Oyebisi Oyefolahan
    Journal: Discover Mechanical Engineering

  1. Title: Exploring the Integration of a Patient Generated Health Data in a FAIR Digital Health System in Low-Resourced Settings: A User-Centered Approach
    Authors: Abdullahi Abubakar Kawu; Rens Kievit; Adamu Abubakar; Mirjam Van Reisen; Dympna O'Sullivan; Lucy Hederman
    Conference: ACM International Conference (Proceedings)

Conclusion

Adamu Abubakar's career trajectory showcases a harmonious balance of teaching, research, and industrial practice. his expertise positions him to make impactful contributions to the fields of ai-driven telecommunication systems and power electronics applications in emerging markets. looking ahead, he is set to influence the development of energy-efficient, intelligent technologies that will shape nigeria's digital future and inspire the next generation of tech innovators.

Dr. Liping Zhang – Optimization, Machine Learing, Scientific Computing – Best Researcher Award

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Dr. Liping Zhang - Optimization, Machine Learing, Scientific Computing - Best Researcher Award

Tsinghua University - China

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Summary

Liping Zhang, a distinguished professor at Tsinghua university, has built a remarkable career grounded in mathematical sciences, operations research, and tensor optimization. her early academic training from qufu normal university and the chinese academy of sciences laid a strong theoretical base, later enriched by international research experiences in taiwan and hong kong. over the years, she has contributed significantly to tensor decomposition, low-rank optimization, and eigenvalue problem-solving—areas that also have potential impact in emerging technologies such as power electronics. her leadership in prestigious national and enterprise-funded projects reflects both her academic rigor and her practical problem-solving capabilities in data processing and algorithm design. recognized by multiple scientific awards, zhang’s work continues to influence fields where computational efficiency and advanced mathematical modeling are critical.

Early academic pursuits

Liping Zhang began her academic journey with a strong foundation in mathematics, earning her bachelor's and master's degrees from qufu normal university. her interest in operations research guided her towards doctoral studies at the academy of mathematics and systems science (amss), chinese academy of sciences. during this period, she laid the groundwork for her later contributions in optimization theory and tensor computations— Optimization, Machine Learing, Scientific Computing areas that have relevance even in interdisciplinary fields such as power electronics, where mathematical modeling plays a crucial role.

Professional endeavors

After completing her ph.d., liping zhang held postdoctoral positions at beijing jiaotong university before joining tsinghua university. her early roles as lecturer and associate professor shaped her teaching philosophy and research rigor. she also expanded her global research experience through visiting fellowships at the hong kong polytechnic university and national cheng kung university. Optimization, Machine Learing, Scientific Computing these international exposures contributed to her understanding of applied optimization techniques, which are essential in diverse engineering domains, including power electronics where multi-dimensional data processing and tensor decomposition find practical applications.

Contributions and research focus

Professor Zhang's research primarily revolves around tensor decomposition, low-rank optimization, structured tensor optimization, and eigenvalue problems of nonnegative tensors. her work contributes valuable algorithms and theoretical insights that address computational challenges in multidimensional signal processing—a field increasingly impacting technological advancements like power electronics, Optimization, Machine Learing, Scientific Computing where efficiency and precision in signal interpretation are critical. her leadership in multiple national natural science foundation of china (nsfc) projects and enterprise-supported programs underscores her pivotal role in advancing algorithmic science.

Impact and influence

Liping Zhang’s scholarly contributions have not only enhanced the mathematical understanding of tensor computations but have also influenced applied sectors reliant on high-dimensional data modeling. her research outputs bear implications for optimization in system controls, quantum computation, and data analytics—disciplines integrally tied to the evolution of power electronics systems, Optimization, Machine Learing, Scientific Computing where reliable optimization algorithms improve device performance and energy efficiency. her recognitions, such as the award from the shandong big data research association and the natural science award from the chinese ministry of education, validate the impact and relevance of her research.

Academic citations

Zhang’s research is well-cited in academic literature, reflecting her standing in the fields of operations research and tensor optimization. her works on smoothing methods, complementarity problems, and semi-infinite programming algorithms have become references for scholars working on mathematical models applicable even in technical fields like control systems and power electronics. Optimization, Machine Learing, Scientific Computing her google scholar profile lists a substantial body of publications that are foundational to both theoretical advancements and practical engineering solutions.

Legacy and future contributions highlight

As a professor at Tsinghua university, Liping Zhang continues to mentor the next generation of researchers, inspiring work in mathematical optimization, machine learning, and tensor analysis. her future research is expected to bridge theoretical innovations with emerging technologies such as artificial intelligence and quantum computing—areas that will undoubtedly intersect with power electronics as demand grows for smart, energy-efficient devices. her academic legacy is built upon a consistent pursuit of solving complex computational problems with real-world engineering applications.

Notable Publications

  1. Title: Tensors and Some Applications
    Authors: L. Zhang; L. Qi; G. Zhou
    Journal: SIAM Journal on Matrix Analysis and Applications

  1. Title: Linear convergence of an algorithm for computing the largest eigenvalue of a nonnegative tensor
    Authors: L. Zhang; L. Qi
    Journal: Numerical Linear Algebra with Applications

  1. Title: Tensor absolute value equations
    Authors: S. Du; L. Zhang; C. Chen; L. Qi
    Journal: Science China Mathematics

  1. Title: A new exchange method for convex semi-infinite programming
    Authors: L. Zhang; S.Y. Wu; M.A. López
    Journal: SIAM Journal on Optimization

  2. Title: The non-interior continuation methods for solving the P0 function nonlinear complementarity problem
    Authors: Z. Huang; J. Han; D. Xu; L. Zhang
    Journal: Science in China Series A: Mathematics

Conclusion

Liping Zhang’s research legacy demonstrates a blend of theoretical depth and practical relevance, particularly in the optimization and processing of high-dimensional data. her innovations contribute not only to operations research but also extend to applied domains like machine learning, quantum computation, and power electronics, where robust algorithms drive technological advancement. as she continues her academic journey at tsinghua university, her future work is poised to inspire further breakthroughs at the intersection of mathematical theory and real-world engineering challenges.

Assoc. Prof. Dr. Bahador Abolpour – Optimization, Simulation and Coding – Excellence in Research

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Assoc. Prof. Dr. Bahador Abolpour - Optimization, Simulation and Coding - Excellence in Research

Sirjan University of technology - Iran

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Summary

Dr. Bahador Abolpour is a distinguished academic with a rare combination of expertise in chemical engineering, aerospace engineering, and computer engineering. his broad educational background and dual ph.d. qualifications have enabled him to contribute meaningfully to various interdisciplinary fields such as transport phenomena, reaction kinetics, ai algorithms, image processing, and numerical modeling. his research has practical applications in modern industries including sustainable materials processing, aerospace navigation, and emerging power electronics technologies used in energy systems and smart grids.

Professionally, as an associate professor at sirjan university of technology, dr. abolpour integrates experimental, computational, and theoretical methods to solve complex engineering problems. his influence spans academia and industry, with numerous citations on platforms like google scholars and researchgate reflecting the impact of his work. his innovative approach brings fresh insights into areas such as process optimization and control systems that increasingly depend on advancements in power electronics.

Early academic pursuits

Bahador Abolpour began his academic journey with a bachelor's degree in chemical engineering from islamic azad university, marvdasht, iran, in 2008. in the same year, he also completed another bachelor's degree in aerospace engineering from payame noor university, shiraz, iran. demonstrating a broad academic curiosity, he further earned a bachelor's degree Optimization, simulation and coding in computer engineering from payame noor university in 2018. this diversified educational foundation laid the groundwork for his interdisciplinary research interests that bridge engineering disciplines such as chemical processes, computing systems, and aerospace technologies.

Professional endeavors

Dr. Abolpour currently serves as an associate professor of chemical engineering at sirjan university of technology. his professional career is marked by a commitment to both teaching and research, focusing heavily on fields such as transport phenomena, reaction kinetics, and numerical methods. with dual ph.d. degrees—one in chemical engineering (shahid bahonar university) Optimization, simulation and coding and another in aerospace engineering (university of tehran)—he embodies a rare blend of expertise that spans multiple engineering domains, including areas relevant to power electronics, a field increasingly intertwined with energy systems and chemical process optimization.

Contributions and research focus

Dr. Abolpour’s research encompasses a diverse range of topics: from experimental methods and reaction modeling in chemical engineering to image processing and ai algorithms in computer science and aerospace. his doctoral work on the instant reduction of magnetite concentrate by synthesis gas to produce sponge iron powder reflects his focus on sustainable materials processing, Optimization, simulation and coding a theme also resonant with the evolving field of power electronics, particularly in energy systems integration and smart grid technologies. another phd thesis on positioning using star images highlights his contribution to aerospace engineering, potentially applicable to satellite-based systems powered by advanced power electronics solutions.

Impact and influence

Dr. Abolpour’s interdisciplinary expertise influences both academic peers and industry practitioners, especially those working at the intersection of chemical engineering and energy systems. his research findings contribute to optimizing industrial processes, enhancing computational modeling techniques, and improving the efficiency of energy-related applications, such as those in power electronics and smart manufacturing systems. his dual role in chemical and aerospace engineering amplifies his influence in designing integrated systems that require cross-disciplinary knowledge.

Academic cites

Dr. Abolpour's scholarly work is reflected in reputable platforms such as google scholars and researchgate, where his publications receive academic attention. his research on transport phenomena and reaction kinetics finds application in chemical process industries, while his contributions to ai algorithms and numerical methods offer value to emerging fields like predictive Optimization, simulation and coding maintenance and autonomous systems—domains that are increasingly adopting power electronics technologies.

Legacy and future contributions

Dr. Abolpour's legacy lies in his ability to bridge seemingly unrelated engineering fields to produce innovative solutions. in the coming years, he aims to explore the integration of advanced modeling techniques, ai-driven control systems, and optimization methods in energy and aerospace applications. such interdisciplinary research is expected to contribute significantly to the Optimization, simulation and coding development of high-performance systems, especially those relying on power electronics for enhanced energy efficiency and system reliability.

Notable Publications

  1. Title: A numerical investigation for lithium extraction from the seawater using hydrodynamic and electromagnetic fields effects in multi-S-shaped channel
    Authors: Bahador Abolpour; Ramtin Hekmatkhah; Hanie Abbaslou
    Journal: Computational Particle Mechanics

  1. Title: Multi-objective Optimization of Nanoparticle Mixture for Improving the Performance of Heat Exchangers
    Authors: Bahador Abolpour; Rahim Shamsoddini
    Journal: Iranian Journal of Science and Technology, Transactions of Mechanical Engineering

  1. Title: Gas–Solid Reaction Kinetic and Mechanism Between Fe3O4 and CH4
    Authors: Bahador Abolpour; M. Mehdi Afsahi
    Journal: Transactions of the Indian National Academy of Engineering

  1. Title: Hydrogen reduction of magnetite concentrate particles
    Authors: Bahador Abolpour; M. Mehdi Afsahi; M. Azizkarimi
    Journal: Mineral Processing and Extractive Metallurgy: Transactions of the Institute of Mining and Metallurgy

  2. Title: Mechanism of reaction of silica and carbon for producing silicon carbide
    Authors: Bahador Abolpour; Rahim Shamsoddini
    Journal: Progress in Reaction Kinetics and Mechanism.

Conclusion

Dr. Abolpour’s career exemplifies the value of multidisciplinary expertise in driving technological progress. his ability to blend concepts from chemical processes, computational intelligence, and aerospace systems paves the way for innovative solutions in critical sectors such as energy and automation. looking forward, his research promises to make lasting contributions to the integration of power electronics in high-efficiency energy systems, aerospace technologies, and industrial automation, shaping the future of engineering research and practice.