Shrinivas Shirkande | Computer Engineering | Best Academic Researcher Award

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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.

Mr Chirag Patel | Engineering | Best Researcher Award |

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Mr. Chirag Patel | Engineering | Best Researcher Award

NVH specialist , at CEAT limited,India

Mr. Chirag Patel, born on December 20, 1983, in Vadodara, Gujarat, India, is a seasoned expert in Computer-Aided Engineering (CAE) and Noise, Vibration, and Harshness (NVH), with over 15 years of experience in the automotive and tyre industry. He is currently serving as a Specialist (Senior Manager) at CEAT Ltd., where he leads a team focused on advanced tyre simulation technologies. Chirag is passionate about developing innovative methodologies that merge simulation tools with practical applications, especially in the field of vehicle acoustics, ride performance, and multibody dynamics.

profile

Scopus

Education

Chirag Patel holds a Master’s degree in Engineering and began his career in academia as an Assistant Professor at Charotar University of Science and Technology. His strong academic foundation in mechanical engineering and early exposure to teaching has enriched his analytical thinking and shaped his journey in simulation and applied research.

Experience

Mr. Patel brings rich experience from globally recognized organizations such as CEAT Ltd., Apollo Tyres, Tata AutoComp Systems (at FIAT Chrysler), HCL Technologies (at John Deere), and Ingersoll Rand. At CEAT, he is responsible for simulation methodology development, NVH analysis, acoustic modeling, tyre model validation, and automation in simulation workflows. His earlier roles include conducting full-vehicle dynamic analysis, NVH studies, acoustic testing, and simulation process optimization. His career began as a Project Engineer at Ingersoll Rand and later transitioned into academia before moving into core automotive simulation roles.

Research interest

His primary research interest lies in tyre dynamics, NVH behavior, acoustic simulation, and ride handling through tools such as ABAQUS, ADAMS, HyperMesh, Wave6, and MATLAB. Chirag has led pioneering projects on tyre cavity noise, foam tyre development for low in-cabin noise, rolling simulations, and modal-frequency-based analysis for structure-borne sound. His research also involves tyre modeling for MBD simulations, using models like PAC2002, MF-Swift, and F-Tire, validated through vehicle handling simulations.

Awards

Chirag has achieved significant milestones, including leading multiple tyre simulation methodologies and applying for a patent for a foam-based tyre concept aimed at reducing in-cabin noise. He has also contributed to university-industry collaboration projects and has been instrumental in establishing simulation processes and tools used in commercial vehicle and two-wheeler tyre development. These efforts have garnered internal recognitions and strengthened his reputation as a technical leader.

Publications

Title: A waveguide finite element model with geometric nonlinearity and orthotropy to analyse broadband vibrations in a reinforced radial tyre
Authors: M. Londhe, R. Oorath, C.B. Patel (Chirag Bharatbhai Patel), N. Tiwari
Journal: Wave Motion
Indexing: Indexed in Scopus and Web of Science
Citations: 0 (as of now)
Year of Publication: 2025

Conclusion

With a solid foundation in engineering, years of hands-on experience, and a drive for innovation, Mr. Chirag Patel stands out as a leading professional in the CAE/NVH domain. His work at the intersection of engineering design, acoustic simulation, and performance optimization showcases his commitment to excellence and industry advancement. A valuable asset to any research or development initiative, Chirag Patel is a strong candidate for recognition such as the Best Researcher Award 2024.

Mr Farshad Sadeghpour | Engineering | Best Researcher Award |

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Mr.Farshad Sadeghpour | Engineering | Best Researcher Award | 

Researcher, at Petroleum University of Technology (PUT) ,Iran

Mr. Farshad Sadeghpour is a highly motivated and multidisciplinary Petroleum Engineer and Data Scientist with a strong academic foundation and hands-on industry experience. He specializes in applying artificial intelligence, machine learning, and geomechanical modeling to tackle real-world challenges in petroleum exploration and reservoir engineering. With an impressive track record of publications, research collaborations, and award-winning projects, Mr. Sadeghpour stands out as an innovative young professional pushing the frontiers of modern petroleum engineering.

Professional Profile

Orcid

Education 🎓

Mr. Sadeghpour holds a Master of Science in Petroleum Engineering (Exploration) from the Petroleum University of Technology, Abadan, Iran (2019–2022), where he graduated with a stellar GPA of 18.82/20. He earned his Bachelor of Science in Petroleum Engineering (Exploration) from the Islamic Azad University, Science and Research Branch, Tehran, Iran (2015–2019), achieving an exceptional GPA of 19.14/20. His academic journey reflects deep technical knowledge, diligence, and consistent excellence.

Experience 👩‍

Mr. Sadeghpour has worked across leading organizations in Iran’s energy sector. His roles include Petroleum Engineer, Petrophysicist, and Data Scientist at institutions such as the Research Institute of Petroleum Industry (RIPI), Petro Vision Pasargad (PVP), Computer Aided Process Engineering (CAPE), and the National Iranian South Oil Company (NISOC). His work involved RCAL, SCAL, EOR laboratory operations, geomechanical modeling, machine learning implementation, and reservoir data analysis—reflecting a strong blend of fieldwork, laboratory experience, and data-driven insights.

Research Interests 🔬

Farshad’s research is at the intersection of petroleum engineering, data science, and geomechanics. He focuses on using machine learning, deep learning, and AI-based models to solve complex reservoir problems such as mud loss prediction, permeability estimation, and CO₂ storage assessment. His work emphasizes both theoretical modeling and practical industry applications, often conducted in collaboration with organizations such as NISOC, RIPI, and the National Iranian Oil Company. His master’s thesis and several projects revolve around neural networks, genetic algorithms, and petrophysical characterization, showing his innovative edge.

Awards 🏆

Farshad’s dedication to excellence was recognized internationally when he secured Third Prize in the EAGE Laurie Dake Challenge 2022 held in Madrid, Spain—a highly competitive event for petroleum engineering students worldwide. He has also been involved in significant national-level research projects with reputed institutions, showcasing his contributions to both academic and industrial progress.

Top Noted Publications 📚

Farshad has co-authored and led multiple high-impact publications in Q1 journals, including:

Energy (2025): Machine learning for CO₂ storage feasibility.

Journal of Petroleum Exploration and Production Technology (2025): New petrophysical-mathematical approach for RQI and FZI.

Geoenergy Science and Engineering (2024): Upscaling methods for elastic modulus prediction.

Journal of Rock Mechanics and Geotechnical Engineering (2024): Stress effects on fracture development in the Asmari reservoir.

Multiple papers under review in Marine and Petroleum Geology, International Journal of Coal Geology, and others.

Conclusion

In conclusion, Farshad Sadeghpour exemplifies the profile of a next-generation energy researcher—technically brilliant, research-oriented, and industry-relevant. His interdisciplinary expertise, publication record, award-winning work, and innovative mindset make him an outstanding candidate for prestigious recognitions such as the Best Researcher Award. His contributions are not only academically significant but also strategically aligned with the global shift toward smart and sustainable energy solutions.