Shrinivas Shirkande | Computer Engineering | Best Academic Researcher Award

Dr. Shrinivas Shirkande | Computer Engineering | Best Academic Researcher Award

Principal, HOD Computer | S B Patil COE Indapur, Pune | India

Dr. Shrinivas T. Shirkande is an accomplished academician, researcher, and academic leader in the field of Computer Engineering. He currently serves as the Additional-charge of Principal and Head of the Computer Engineering Department at S.B. Patil College of Engineering, Indapur, affiliated with Pune University. With a strong background in teaching, research, and administration, he has significantly contributed to institutional development, student mentorship, and scholarly innovation. His expertise spans across computer science fundamentals, software engineering, machine learning, data analytics, cloud computing, cybersecurity, and advanced computational models.

Professional Profile

Scopus | Orcid | Google Scholar

Education

Dr. Shirkande holds a Ph.D. in Computer Engineering, complemented by an M.Tech. in Information Technology and a B.Tech. in Information Technology. His academic journey has been marked by a consistent focus on research-driven approaches and the integration of emerging technologies into teaching and practice.

Experience

He has served in progressively responsible academic roles, beginning as an Ad-Hoc Lecturer and later as an Assistant Professor at reputed institutions including Yadavrao Tasgaonkar College of Engineering and Konkan Gyanpeeth College of Engineering. Since joining S.B. Patil College of Engineering, Indapur, he has held key positions such as Assistant Professor, Head of Department, and Additional-charge Principal. His leadership includes spearheading accreditation processes such as NAAC (Grade A), heading the Institute Innovation Cell and R&D Cell, and organizing national and international conferences. His role as editor, session chair, syllabus reform committee member, and conference organizer further highlights his academic impact.

Research Interests

Dr. Shirkande’s research focuses on artificial intelligence, machine learning, cloud computing, cybersecurity, healthcare IoT, and data analytics. His work includes contributions to cloud job scheduling with multi-component attention graph neural networks, privacy-preserving IoT solutions using attribute-based cryptography, and hybrid CNN models for melanoma detection. He is particularly interested in applying computational intelligence to solve real-world challenges in data-driven systems, healthcare, and security.

Honors

He has received recognition for his contributions as a General Chair and Editor-in-Chief of international conferences, including ICEST, and as a co-convener of ICERAT. He has been acknowledged for leading institutional achievements such as NAAC accreditation success. His roles as reviewer and session chair in IEEE and Springer conferences further establish his standing in the academic community.

Top Noted Publications

Secure group key agreement protocol with elliptic curve secret sharing for authentication in distributed environments – Citations: 16, Indexed: Scopus, Year: 2023.

Deep learning driven QoS anomaly detection for network performance optimization – Journal of Electrical Systems 19 (2), Citations: 9, Indexed: Scopus, Year: 2023.

CR System with Efficient Spectrum Sensing and Optimized Handoff Latency to Get Best Quality of Service – International Journal of Intelligent Systems and Applications in Engineering, Citations: 9, Indexed: Scopus, Year: 2023.

The intersection of technology and public health: opportunities and challenges – South Eastern European Journal of Public Health, Citations: 8*, Indexed: Scopus, Year: 2023.

Hydroponics farming using IoT – International Journal of Research in Applied Science and Engineering Technology, Citations: 5, Indexed: Scopus, Year: 2022.

An Explainable Deep Learning Model for Clinical Decision Support in Healthcare – WSN and IoT, Citations: 4, Indexed: Scopus, Year: 2024.

Conclusion

Through his combined contributions in research, teaching, leadership, and institutional development, Dr. Shrinivas T. Shirkande has established himself as a distinguished academic leader in computer engineering. His work bridges the gap between theory and practice, ensuring that innovative solutions are developed for pressing challenges in cloud computing, healthcare, and security. With an expanding research portfolio, active involvement in international academic networks, and a strong commitment to student and institutional growth, he continues to play a vital role in advancing knowledge and innovation in his field.

Dr Francesco Romor | Numerical analysis | Best Researcher Award |

Dr. Francesco Romor | Numerical analysis | Best Researcher Award

Postdoctoral researcher , at Weierstrass Institute,Germany

Dr. Francesco Romor is a postdoctoral researcher at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) in Berlin, Germany. He works within the Numerical Mathematics and Scientific Computing research group led by Prof. Volker John. His expertise lies in advanced computational methods, scientific machine learning, and mathematical modeling with applications spanning from fluid dynamics to medical image analysis. Known for combining mathematical rigor with modern machine learning techniques, Dr. Romor is establishing himself as a leading voice in the next generation of scientific computing experts.

profile

Scopus

Education

Dr. Romor earned his Ph.D. in Mathematical Analysis, Modeling, and Applications from the International School for Advanced Studies (SISSA), Trieste, Italy, in 2023. His doctoral research, supervised by Prof. Gianluigi Rozza, focused on “Nonlinear Parameter Space and Model Order Reductions enhanced by Scientific Machine Learning.” He previously obtained a Master’s degree in Mathematics (2019) and a Bachelor’s degree in Mathematics (2017), both with the highest honors (110/110 cum laude) from the University of Trieste. His academic path reflects a strong and consistent foundation in theoretical and applied mathematics.

Experience

Since November 2023, Dr. Romor has been serving as a postdoctoral researcher at WIAS, where he collaborates closely with experts such as Dr. Alfonso Caiazzo. In 2023, he completed a short research visit to the Massachusetts Institute of Technology (MIT) as part of the MISTI MIT-Italy FVG Project, working with Prof. Youssef Marzouk. His professional engagements reflect a growing international footprint and recognition in high-level research environments.

Research interest

Dr. Romor’s research centers on reduced-order modeling, nonlinear parameter space reduction, scientific machine learning, and high-dimensional numerical simulations. He is particularly interested in hybridizing classical numerical methods with deep learning tools, such as convolutional autoencoders and graph neural networks, to solve complex partial differential equations (PDEs) efficiently. His recent work extends to data assimilation in biomedical applications, including modeling aortic coarctation using shape registration and neural networks. These innovations push the boundary of how science and AI can co-evolve for real-world problem-solving.

Awards

While specific awards are not listed, Dr. Romor’s profile includes significant professional recognitions. These include being selected for a prestigious research visit to MIT and multiple invitations to speak at international conferences such as ECCOMAS, SIAM CSE, and AICOMAS. Such invitations are indicators of esteem within the scientific community and recognition of his impactful contributions.

Publications

1. Friedrichs’ systems discretized with the DGM: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions
Authors: Francesco Romor, Davide Torlo, Gianluigi Rozza
Journal: Journal of Computational Physics
Article ID: 113915
Year: 2025

2. Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations
Authors: Francesco Romor, Giovanni Stabile, Gianluigi Rozza
Journal: Journal of Computational Physics
Volume: 524, Article ID: 113729
Year: 2025

3. Generative Models for the Deformation of Industrial Shapes with Linear Geometric Constraints: model order and parameter space reductions
Authors: Guglielmo Padula, Francesco Romor, Giovanni Stabile, Gianluigi Rozza
Journal: Computer Methods in Applied Mechanics and Engineering
Volume: 423, Article ID: 116823
Year: 2024

4. A local approach to parameter space reduction for regression and classification tasks
Authors: Francesco Romor, Marco Tezzele, Gianluigi Rozza
Journal: Journal of Scientific Computing
Volume: 99, Issue: 3, Article ID: 83
Year: 2024

5. Non-linear Manifold Reduced-Order Models with Convolutional Autoencoders and Reduced Over-Collocation Method
Authors: Francesco Romor, Giovanni Stabile, Gianluigi Rozza
Journal: Journal of Scientific Computing
Volume: 94, Article ID: 74
Year: 2023
DOI: 10.1007/s10915-023-02128-2

Conclusion

In summary, Dr. Francesco Romor exemplifies the qualities of a forward-thinking and high-impact researcher in computational science. With a strong mathematical foundation, international experience, innovative applications of machine learning, and a robust publication record, he is well-positioned for prestigious research honors and academic recognition. His work not only advances numerical methods but also connects disciplines—from automotive engineering to biomedical modeling—making him a valuable asset to the global research community.

Prof. Dr. Harpreet Kaur | Image processing | Best Researcher Award |

Prof. Dr. Harpreet Kaur | Image processing | Best Researcher Award | 

Professor , at lovely Professional University, India.

Prof. (Dr.) Harpreet Kaur is a distinguished academician and researcher in Computer Science & Engineering, specializing in Digital Image Processing and Image Retrieval. She is currently a Professor at Lovely Professional University, Phagwara, Punjab, with over two decades of experience in teaching, research, and academic leadership. Her expertise spans various domains of emerging technologies, and she has significantly contributed to academia through research, mentorship, and administrative roles.

Professional Profile

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Orcid

Google Scholar

Education 🎓

Prof. Kaur holds a Bachelor of Technology (B.Tech) in Computer Science & Engineering, followed by a Master of Technology (M.Tech) in Information Technology. She further pursued her Doctor of Philosophy (Ph.D.) in Computer Science & Engineering, solidifying her expertise in advanced computing and digital technologies. Her strong academic background has enabled her to lead research initiatives and mentor scholars in her domain.

Professional Experience 💼

With an illustrious career spanning over 20 years, she has held various leadership roles, including Head of Department (CSE), Deputy Dean Academics, and Convener of multiple national and international conferences. She has contributed to the academic ecosystem through faculty development programs, workshops, and research conferences, fostering knowledge-sharing and skill development in the field of engineering and technology.

Research Interests 🌍

Her research primarily revolves around Digital Image Processing, Image Retrieval, Artificial Intelligence, and Emerging Technologies. With a passion for innovation, she has actively contributed to cutting-edge research by publishing over 70+ papers in international conferences and journals, along with 25 national-level research publications. Her expertise extends beyond theoretical research, as she has successfully published more than 15 patents, showcasing her commitment to applied research and technological advancements.

Awards & Honors 🏆

Prof. Kaur’s contributions have been widely recognized through multiple prestigious awards, including the Best Paper Presentation Award (Dubai, 2019), Quality Education Leadership Award (2020), International Teaching Excellence Award (2021), International Distinguished Teacher Award (2023), and the International Research Excellence Award (2024-25). These accolades highlight her excellence in both research and academia.

Top Noted Publications 📚

Synthesis and characterization of ZIF-8 nanoparticles for controlled release of 6-mercaptopurine drug – H. Kaur, G.C. Mohanta, V. Gupta, D. Kukkar, S. Tyagi – 363 citationsJournal of Drug Delivery Science and Technology2017

Electrochemical synthesized copper oxide nanoparticles for enhanced photocatalytic and antimicrobial activity – R. Katwal, H. Kaur, G. Sharma, M. Naushad, D. Pathania – 356 citationsJournal of Industrial and Engineering Chemistry2015

Image fusion techniques: a survey – H. Kaur, D. Koundal, V. Kadyan – 319 citationsArchives of Computational Methods in Engineering2021

Computer-aided designing of immunosuppressive peptides based on IL-10 inducing potential – G. Nagpal, S.S. Usmani, S.K. Dhanda, H. Kaur, S. Singh, M. Sharma – 275 citationsScientific Reports2017

Posttraumatic stress disorder in maltreated youth: A review of contemporary research and thought – C.A. Kearney, A. Wechsler, H. Kaur, A. Lemos-Miller – 267 citationsClinical Child and Family Psychology Review2010

Conclusion

Prof. (Dr.) Harpreet Kaur has strong credentials for the Best Researcher Award, particularly due to her extensive research output, innovation through patents, academic leadership, and multiple recognitions. Strengthening international collaborations, securing research grants, and publishing in high-impact factor journals can further enhance her candidacy for elite research awards.