Prof. Shile Qi | Bioinformatics | Best Researcher Award

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Prof. Shile Qi | Bioinformatics | Best Researcher Award

Prof. Shile Qi, Nanjing University of Aeronautics and Astronautics, China

Prof. Shile Qi is a distinguished expert in computational psychiatry, brain imaging, and data science, currently serving as a Professor of Artificial Intelligence at Nanjing University of Aeronautics and Astronautics. With postdoctoral experience at TReNDS (Georgia State, Georgia Tech, Emory) and The Mind Research Network (USA), Prof. Qi specializes in multimodal neuroimaging, machine learning, and individualized mental health prediction. His research has been recognized globally through prestigious presentations and awards at IEEE ISBI, ICASSP, and OHBM. His work bridges AI, neuroscience, and psychiatry, advancing early diagnosis and personalized treatment of disorders like schizophrenia and depression. Prof. Qi is a rising leader in neuroinformatics, integrating computational innovation with medical science for impactful mental health solutions.

🌍 Professional Profile 

Google Scholar

🏆 Suitability for Best Researcher Award 

Prof. Shile Qi is an exceptional candidate for the Best Researcher Award due to his high-impact contributions in computational neuroscience and AI-powered psychiatry. His groundbreaking work in individualized mental health prediction, multimodal brain data fusion, and bioinformatics has earned him multiple international honors and oral presentations at top-tier conferences like IEEE ISBI, ICASSP, and OHBM (top 1–3%). With a proven record of excellence in brain imaging and mental health research, he offers innovative tools for diagnosing complex psychiatric disorders. His international training, interdisciplinary skills, and leadership in neuroimaging AI make him a transformative figure driving precision psychiatry forward. Prof. Qi exemplifies the ideal balance of academic rigor, innovation, and societal impact.

🎓 Education 

Prof. Shile Qi earned his Ph.D. in Pattern Recognition (2018) from the Institute of Automation, Chinese Academy of Sciences, focusing on computational neuroscience and AI algorithms. He holds a Master’s degree in Mathematics (2014) from Fuzhou University, and a Bachelor’s degree in Mathematics (2011) from Zhoukou Normal University. His solid mathematics background supports his innovations in neuroimaging data analysis, multimodal integration, and personalized prediction models. From 2018 to 2021, he completed prestigious postdoctoral fellowships in the U.S. at The Mind Research Network and the TReNDS Center, working alongside leading experts in neuroimaging, psychiatry, and AI. His education reflects a unique blend of mathematics, pattern recognition, and brain science, forming the foundation of his cutting-edge research.

💼 Experience

Prof. Shile Qi is currently an Artificial Intelligence Professor at Nanjing University of Aeronautics and Astronautics (2021–present), focusing on brain image analysis, computational psychiatry, and AI-driven mental health research. From 2019–2021, he was a Postdoctoral Researcher at TReNDS (a collaborative center of Georgia State, Georgia Tech, and Emory University), where he worked on multimodal data fusion and individualized prediction of psychiatric disorders. Earlier, he completed a postdoc at The Mind Research Network (2018–2019), contributing to high-level brain imaging studies. With extensive experience in interdisciplinary collaboration, Prof. Qi has published and presented work at global platforms and continues to pioneer AI-based diagnostics in neuroscience, combining machine learning, data science, and clinical insights.

🏅 Awards & Honors 

Prof. Shile Qi’s research excellence has earned multiple prestigious awards and presentations. These include:

✨ 2020 OHBM Merit Abstract Award (Top 1%)
✨ 2020 & 2021 OHBM Oral Presentations (Top 3%)
✨ 2017 OHBM Merit Abstract Award (Top 1%)
🎤 2025 IEEE ICASSP & ISBI Oral Presentations
🎤 2021 IEEE ISBI Oral Presentation

His work on multiple psychiatric disorders and ECT treatment studies was consistently ranked among the top abstracts internationally. These honors highlight his cutting-edge contributions to neuroimaging, AI-based psychiatry, and multimodal data fusion. Recognized for technical depth, innovation, and clinical relevance, Prof. Qi has emerged as a thought leader in computational neuroscience, driving AI-enhanced healthcare forward globally.

🔬 Research Focus 

Prof. Shile Qi’s research lies at the intersection of AI, neuroscience, and psychiatry. He specializes in computational psychiatry, using brain imaging and bioinformatics to model mental disorders like schizophrenia and depression. His expertise spans multimodal data fusion, individualized prediction models, and deep learning techniques for detecting subtle brain abnormalities. Prof. Qi develops novel methods to integrate MRI, fMRI, EEG, and other neuroimaging data, providing personalized insights for early diagnosis and treatment planning. He also contributes to bioinformatics and mental health AI, creating predictive models that are both clinically relevant and technically robust. His work aims to transform how psychiatric conditions are understood, detected, and managed through neuroinformatics innovation.

📊 Publication Top Notes  

  • Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion

    • Citations: 159

    • Year: 2018

  • Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships

    • Citations: 151

    • Year: 2020

  • Aberrant dynamic functional network connectivity and graph properties in major depressive disorder

    • Citations: 148

    • Year: 2018

  • Gender differences in connectome-based predictions of individualized intelligence quotient and sub-domain scores

    • Citations: 137

    • Year: 2020

  • Connectome-based individualized prediction of temperament trait scores

    • Citations: 87

    • Year: 2018

 

 

Dr. Omprakash B | Computational Fluid Dynamics (CFD) Analysis | Best Researcher Award

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Dr. Omprakash B | Computational Fluid Dynamics (CFD) Analysis | Best Researcher Award

Dr. Omprakash B | Mechanical Engg.Dept., JNTUA CEA | India

Dr. B. Omprakash is an accomplished Assistant Professor (Selection Grade) in the Mechanical Engineering Department at JNTUA College of Engineering, Anantapuramu, India. With a Ph.D. in experimental investigations on glow plug hot surface ignition using alcohol-based fuels, he has made significant contributions to thermal engineering and alternative fuels. His research spans CFD analysis, heat transfer, and energy storage systems. Recognized with prestigious awards like the State Level Best Mechanical Engineering Teacher (2024) and Best Teacher Award (2023), Dr. Omprakash actively leads funded research projects and has published extensively in SCI journals. His work advances mechanical engineering and sustainability. 🔬🔥

Professional Profile:

ORCID

SCOPUS

Google Scholar

Suitability for Best Researcher Award

Dr. B. Omprakash is a strong candidate for the Best Researcher Award due to his impactful contributions to mechanical engineering, particularly in thermal engineering, alternative fuels, and energy storage systems. His research on glow plug hot surface ignition using alcohol-based fuels addresses critical challenges in sustainable energy solutions, making his work highly relevant to both academia and industry.

Education & Experience 🎓👨‍🏫

  • 🏅 Ph.D. in Mechanical Engineering – JNT University Anantapur (2016)
    Thesis: Experimental Investigations on Glow Plug Hot Surface Ignition C.I. Engine Using Alcohols as Fuel
  • 👨‍🏫 Assistant Professor (Selection Grade) – JNTUA College of Engineering, Anantapuramu (2011 – Present)
    • Basic Pay: ₹98,200/- (Current: ₹1,31,000/- as of Feb 2024)
    • Expertise in CFD Analysis, Heat Transfer, Alternative Fuels, and Thermal Engineering

Professional Development📚🔍

Dr. B. Omprakash has consistently contributed to mechanical engineering through innovative research, mentorship, and academic leadership. As an educator, he integrates theoretical and practical applications, ensuring students gain hands-on experience in thermal sciences, alternative fuels, and CFD modeling. He has successfully secured government-funded research projects focusing on energy storage and solar-powered systems. His commitment extends beyond academia through collaborations with national and international researchers. By actively publishing in SCI-indexed journals and presenting at reputed conferences, Dr. Omprakash enhances the knowledge base of mechanical engineering, inspiring young minds toward innovation and sustainability. 🌍🛠️

Research Focus🔬⚙️

Dr. B. Omprakash’s research is centered on thermal sciences, alternative fuels, computational fluid dynamics (CFD), and renewable energy systems. His studies explore the optimization of heat flow, engine performance, and sustainable fuel alternatives. He has worked extensively on phase change materials (PCMs), magnetic field applications in machining, and energy-efficient engine designs. His projects, funded by SERB, Government of India, aim to develop eco-friendly energy storage solutions and solar-powered mechanized vehicles. Through experimental validation and numerical simulations, he contributes to the advancement of green technologies and high-performance mechanical systems, bridging the gap between research and industrial application. 🌱⚡

Awards & Honors 🏅🎖

  • 🏆 State Level Best Mechanical Engineering Teacher – Indian Society for Technical Education (ISTE) (2024)
  • 🏅 Best Teacher Award – SR Educational Society, Ministry of Youth Affairs & Sports, Govt. of India (2023)

Publication Top Notes:

🔬 Experimental examination of CI engine fueled with various blends of diesel-apricot oil at different engine operating conditions – SM Karishma, A Dasore, U Rajak, TN Verma, KP Rao, B Omprakash | 📖 Materials Today: Proceedings 49, 307-310  🔗 Cited by: 28
💡 Hybrid solar lightning system for home lightning – SB Mohan, B Omprakash | 📖 Materials Today: Proceedings  🔗 Cited by: 3
🔥 Performance Evaluation Of A Ceramic Coated With Air Insulated Four Stroke Diesel Engine – R Ganapathi, BD Prasad, B Omprakash | 📖 International Journal of Current Engineering and Technology 3 (5), 1858-1862  🔗 Cited by: 3
⚙️ Evaluation of mechanical behaviour of aluminium 2024 composites with boron nitride – K Srikhar, B Omprakash | 📖 Materials Today: Proceedings  🔗 Cited by: 1
🚗 Effect of exhaust gas recirculation on the performance and emission characteristics of diesel engine with hydrogen fuel and nano additives – R Jayaram, B Omprakash | 📖 Materials Today: Proceedings  🔗 Cited by: 1

 

 

 

Dr. KALYANI RADHA K | Modeling & Simulation | Best Researcher Award

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Dr. Kalyani Radha K | Modeling & Simulation | Best Researcher Award

Dr. Kalyani Radha K | Mechanical Engineering, JNTUA College of Engineering | India

Dr. K. Kalyani Radha is an Associate Professor in Mechanical Engineering at JNTUA College of Engineering, Ananthapuramu, India. With over 15 years of teaching experience, she specializes in Thermal Engineering, IC Engines, Heat Transfer, Refrigeration & Air Conditioning, CFD, and Modeling & Simulation. She has mentored multiple Ph.D. scholars and currently supervises several research projects. As a Principal Investigator, she leads a SERB SURE-funded project on a solar-powered mechanized vehicle for defense applications. Beyond academics, Dr. Radha is actively involved in administrative roles, student associations, and research initiatives, making significant contributions to mechanical engineering. 🚀🔬

Professional Profile:

Google Scholar

Suitability for Best Researcher Award

Dr. K. Kalyani Radha is a strong candidate for the Best Researcher Award due to her extensive contributions to Mechanical Engineering, particularly in Thermal Engineering, IC Engines, Heat Transfer, Refrigeration & Air Conditioning, Computational Fluid Dynamics (CFD), and Modeling & Simulation. With over 15 years of teaching experience, she has shaped the next generation of engineers and researchers through mentorship and academic leadership.

🎓 Education & Experience

  • B.E. (Mechanical Engineering) 🏗️ – CBIT (OU), Hyderabad
  • M.Tech (Refrigeration & Air Conditioning) ❄️ – JNTUACE, Anantapur
  • Ph.D. (Mechanical Engineering) 🎓 – IST, JNTU, Hyderabad
  • Teaching Experience 📚 – 15 years in academia
  • Research Supervision 🏆 – 1 Ph.D. completed, 3 ongoing
  • Principal Investigator 🔍 – SERB SURE-funded project on mechanized vehicle for defense applications

📈 Professional Development

Dr. K. Kalyani Radha has played a crucial role in mechanical engineering research and education. As a Ph.D. mentor, she has guided scholars in thermal management, refrigeration, and IC engine performance optimization. She has published 74 international journal papers, focusing on energy efficiency, alternative fuels, and heat transfer enhancements. She serves as a BOS Chairman at JNTUA and actively participates in IQAC, student associations, and placement coordination. Dr. Radha has also contributed to entrepreneurship development and served as a Deputy Controller of Examinations, showcasing her leadership in academic administration. 🏅📖🔬

🔬 Research Focus

Dr. K. Kalyani Radha’s research spans Thermal Engineering, IC Engines, Heat Transfer, Refrigeration & Air Conditioning, Computational Fluid Dynamics (CFD), and Modeling & Simulation. Her studies focus on alternative fuels, energy-efficient refrigeration systems, and heat transfer enhancement techniques. She has worked extensively on low heat rejection engines, vegetable oil-based fuels, and solar energy applications. Additionally, she leads experimental investigations on lithium battery thermal management and vapor compression refrigeration system optimization. Through her work, she aims to develop sustainable energy solutions and advanced cooling systems, benefiting both automotive and defense sectors. 🌱⚙️🔥❄️

🏆 Awards & Honors

  • Principal Investigator 🏅 – SERB SURE-funded project (₹11,90,750)
  • BOS Chairman 🎓 – JNTUA College of Engineering, Ananthapuramu
  • Published 74 International Journals 📖 – Contributions to thermal engineering & alternative fuels
  • Deputy Warden & Placement Officer 🏫 – JNTUA Shilpa Hostel & Mechanical Engg. Dept.
  • ISTE Coordinator 🏆 – Led student chapters & development programs
  • Deputy Controller of Examinations 🏅 – Oversaw academic assessments

Publication Top Notes:

🔥 Enhancement of heat transfer using varying width twisted tape inserts – SN Sarada, AVSR Raju, KK Radha, LS Sunder | International Journal of Engineering, Science and Technology 2 (6) | 📖 225 citations |
⚙️ Optimization of injection pressure for a compression ignition engine with cotton seed oil as an alternate fuel – SN Sarada, M Shailaja, AVSR Raju, KK Radha | International Journal of Engineering, Science and Technology 2 (6) | 📖 49 citations |
🔥 Experimental investigations in a circular tube to enhance turbulent heat transfer using mesh inserts – S Naga Sarada, KK Radha, AVS Raju | ARPN Journal of Engineering and Applied Sciences 4 (5), 53-60 | 📖 38 citations |
🚗 Performance and emission characteristics of CI engine operated on vegetable oils as alternate fuels – KK Radha, SN Sarada, K Rajagopal, EL Nagesh | International Journal of Automotive and Mechanical Engineering 4, 414-427 | 📖 36 citations |
🌿 Performance and emission of VCR-CI engine with palm kernel and eucalyptus blends – BN Banoth, KR Kadavakollu | Perspectives in Science 8, 195-197 | 📖 24 citations |

 

 

 

 

Mr. Feng Wang | Computational Analysis | Best Researcher Award

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Mr. Feng Wang | Computational Analysis | Best Researcher Award

Mr. Feng Wang, China Three Gorges University, China

Mr. Feng Wang is an Associate Professor at China Three Gorges University, specializing in bridge and tunnel engineering. With a Ph.D. from Wuhan University of Technology, he has conducted groundbreaking research on nonlinear dynamic responses of long-span cable structures. His work has been applied in major engineering projects, contributing significantly to seismic design and wind/ice resistance of overhead transmission lines. As a visiting scholar at The University of Queensland, he collaborated with leading experts to enhance computational analysis methods. With over 50 academic publications and 60 patents, Mr. Wang’s contributions have had a lasting impact on structural engineering. His interdisciplinary approach integrates AI-driven assessment models, vibration suppression techniques, and disaster protection strategies, making him a leader in modern civil engineering. Recognized with multiple teaching awards, he continues to mentor young engineers while advancing critical infrastructure development. 🚀🏗️

🌏 Professional Profile

Orcid

🏆 Suitability for Best Researcher Award 

Mr. Feng Wang is a highly accomplished researcher whose work in structural engineering has led to significant advancements in bridge safety, vibration control, and AI-driven assessment models. His contributions address critical engineering challenges, including dynamic catastrophe protection and seismic resistance for large-scale structures. Having led and participated in over 30 research projects funded by prestigious organizations, he has demonstrated exceptional expertise and innovation. His 50+ publications in high-impact journals, 60 patents, and multiple software copyrights reflect his leadership in applied research. His work aligns with global infrastructure development strategies, including the Belt and Road Initiative. Additionally, his recognition as an “Excellent Instructor” underscores his dedication to academia. Mr. Wang’s research not only pushes theoretical boundaries but also translates into real-world applications, making him an outstanding candidate for the Best Researcher Award. 🏅🔬

📚 Education

  • Ph.D. in Bridge and Tunnel Engineering (2007–2010) – Wuhan University of Technology 🎓

    • Dissertation: “Geometric Nonlinear Analysis of Long-Span Three-Tower Composite Girder Cable-Stayed Bridges”
    • Awarded Outstanding PhD Dissertation Award
    • Supervised by Prof. Liu Muyu, Director of the Hubei Provincial Key Laboratory of Road and Bridge Engineering

  • Visiting Scholar (2019–2020) – The University of Queensland, Australia 🌏

    • Fully funded by the China Scholarship Council
    • Collaborated with Prof. Chien Ming Wang on nonlinear dynamics of long-span cable structures

His education provided a strong foundation in computational mechanics, structural stability, and interdisciplinary engineering applications, enabling his impactful research in bridge safety and AI-driven assessment methods. 🎓📖

👨‍🔬 Experience 

  • Associate Professor, China Three Gorges University (2015–Present) 🏗️

    • Conducts research in bridge engineering, computational analysis, and AI-driven infrastructure assessment
    • Supervises Master’s students in civil and electrical engineering

  • Lecturer, China Three Gorges University (2011–2015) 📚

    • Promoted to Associate Professor in 2015

  • Assistant Engineer, China Communications Construction Company (2002–2004) 🚧

    • Worked on highway base and surface construction

  • Visiting Researcher, The University of Queensland (2019–2020) 🌏

    • Specialized in long-span cable structure dynamics

With over two decades of experience in academia and industry, Mr. Wang has contributed to major engineering projects and advanced computational methods in structural analysis. 🔍🏗️

🏅 Awards and Honors

  • Outstanding PhD Dissertation Award (2010) – Wuhan University of Technology 🎓🏆
  • Excellent Instructor Award (2014, 2017, 2018) – “Gaojiao Cup” National College Students’ Advanced Drawing Technology Competition 🏅👨‍🏫
  • National Natural Science Foundation of China (NSFC) Grant Recipient – Led multiple funded research projects 💰🔬
  • China Scholarship Council Award (2019–2020) – Fully funded visiting scholar at The University of Queensland 🇨🇳🌏
  • 60+ Patents & 5 Software Copyrights – Innovations in bridge engineering, AI models, and disaster protection 🏗️💡

Mr. Wang’s recognitions highlight his research excellence, innovation, and contributions to structural engineering and education. 🌟🎖️

🔬 Research Focus 

Mr. Feng Wang’s research revolves around computational structural analysis, AI-driven assessment models, and disaster protection technologies for large-scale infrastructure. His work in geometric nonlinear analysis enhances bridge safety and longevity, while his vibration suppression techniques improve the stability of ultra-long stay cables. He has pioneered AI-based models to assess bridge components, ensuring optimal maintenance and damage prevention. His research extends to dynamic catastrophe protection, helping safeguard overhead transmission lines from extreme environmental conditions. 🌉💡

By integrating Big Data Analytics, AI, and engineering mechanics, he develops predictive models that optimize bridge resilience. His interdisciplinary approach aligns with China’s Belt and Road Initiative, focusing on sustainable infrastructure. His contributions advance both fundamental research and practical applications, making a lasting impact on structural engineering. 🏗️🔍

Publication Top Notes:

Title : Coupled Parametric Vibration Model and Response Analysis of Single Beam and Double Cable Under Deterministic Harmonic and Random Excitation
Published Year : 2024

 

 

 

Dr. Kailiang Lu | Numerical Simulation | Best Researcher Award

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Dr. Kailiang Lu | Numerical Simulation | Best Researcher Award

Dr. Kailiang Lu, China University of Mining and Technology, China

Kailiang Lu is a dedicated Ph.D. candidate in Geological Resources and Geological Engineering at Chang’an University, where he also completed his Bachelor’s in Geophysics. Known for his academic excellence, Kailiang progressed directly from his Master’s studies to a doctoral program, reflecting his strong performance and commitment to research. His work focuses on 3D transient electromagnetic forward modeling and transient electromagnetic migration imaging, contributing valuable insights to the field of geophysics. Kailiang has received several awards, including the National Scholarship for Postgraduate Students and the Outstanding Graduate Student Scholarship at Chang’an University in 2018 and 2019.

Professional Profile:

Google Scholar
Orcid

Suitability for the Award:

Kailiang’s research directly aligns with the objectives of the Best Researcher Award, as he has demonstrated both technical innovation and a strong publication record in geophysical methods. His achievements in developing computational algorithms for transient electromagnetic data modeling position him as an influential researcher in the field of geological engineering.

Academic Background:

Kailiang Lu is a Ph.D. candidate in Geological Resources and Geological Engineering at Chang’an University, where he also completed his Bachelor’s and Master’s studies in Geophysics. Due to his exceptional academic performance, Kailiang transitioned directly to his doctoral studies, bypassing the requirement for a formal master’s degree.

Research Focus:

Kailiang’s research specializes in 3D Transient Electromagnetic Forward Methods and Transient Electromagnetic Migration Imaging, where he advances imaging and analysis techniques in geological studies.

Awards & Honors:

His academic journey is marked by multiple recognitions, including the Outstanding Graduate Student Scholarship (2018, 2019) and the prestigious National Scholarship for Postgraduate Students. These accolades underscore his dedication and achievements in geophysical research and innovation.

Publication Top Notes:

  • New multi-resolution and multi-scale electromagnetic detection methods for urban underground spaces
    • Citations: 19
    • Year: 2018
  • A precise integration transform algorithm for transformation from the transient electromagnetic diffusion field into the pseudo wave field
    • Citations: 16
    • Year: 2021
  • The application of multi-grounded source transient electromagnetic method in the detections of coal seam goafs in Gansu Province, China
    • Citations: 15
    • Year: 2021
  • Second-order Born approximation imaging algorithm for transient electromagnetic pseudo wave-field
    • Citations: 10
    • Year: 2022
  • A new method for space-based detecting small-scale space debris with high-resolution using transient electromagnetism
    • Citations: 9
    • Year: 2018

 

 

Dr. Yasir Nawaz | Computational Method | Best Researcher Award

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Dr. Yasir Nawaz | Computational Method | Best Researcher Award

Dr. Yasir Nawaz, Comwave Institue, Pakistan

Dr. Yasir Nawaz is an esteemed mathematician and Assistant Professor at Comwave Institute of Science & Information Technology, Pakistan, where he has been serving since November 2023. He completed his Ph.D. in Mathematics, specializing in Computational & Applied Mathematics, from Air University Islamabad, focusing on Numerical Techniques for Boundary Layer Problems. Prior to his doctoral studies, he earned an M.Phil in Pure Mathematics as a Gold Medalist from Quaid-i-Azam University Islamabad and an M.Sc. in Mathematics from the same institution. Dr. Yasir’s research proficiency extends to Matlab, Mathematica, and Comsol, where he applies his expertise in coding, simulations, and algebraic computations. With a strong academic background and a commitment to teaching, he has held various positions, including Lecturer at Hitec University Taxila, Visiting Faculty Member at Nu-Fast, and an online instructor for international students, garnering top honors throughout his educational and professional journey.

Professional Profile:

Scopus

🏫 Academic Qualifications:

Dr. Yasir Nawaz completed his Ph.D. in Mathematics, specializing in Computational & Applied Mathematics, from Air University Islamabad, Pakistan (2017-2020), achieving a perfect C.G.P.A of 4/4. His doctoral thesis focused on Numerical Techniques for Boundary Layer Problems. Prior to this, he earned an M.Phil in Pure Mathematics (Gold Medalist) from Quaid-i-Azam University Islamabad, Pakistan (2006-2008), with a thesis on (α, β)-Fuzzy Ideals in Semigroups, and an M.Sc. in Mathematics from the same institution (2004-2006).

📜 Educational Achievements:

  • First Position in M.Phil at the Department of Mathematics and the Faculty of Natural Sciences, Quaid-i-Azam University.
  • Second Position in B.Sc-II Punjab University Exam 2004 at F.G. Sir Syed College, The Mall Rawalpindi Cantt.

👨‍🏫 Professional Experience:

Dr. Yasir has held various academic positions, including:

  • Lecturer at the Department of Mechanical Engineering, Hitec University Taxila, Pakistan.
  • Visiting Faculty Member at Nu-Fast.
  • Online Teacher for international students.
  • Assistant Professor at Comwave Institute of Science & Information Technology (since November 2023).

💻 Research and Skills:

His research expertise includes Numerical Techniques for Boundary Layer Problems, with proficiency in software tools such as Matlab, Mathematica, and Comsol for coding, simulations, and algebraic computations.

🌍 Distinctions and Honors:

  • Achieved first positions in M.Phil at both the departmental and faculty levels.
  • Secured top positions in B.Sc. and intermediate exams.

Publication Top Notes:

  • Title: A two-stage multi-step numerical scheme for mixed convective Williamson nanofluid flow over flat and oscillatory sheets
    • Year: 2024
  • Title: Fractal Numerical Investigation of Mixed Convective Prandtl-Eyring Nanofluid Flow with Space and Temperature-Dependent Heat Source
    • Year: 2024
  • Title: A two-stage reliable computational scheme for stochastic unsteady mixed convection flow of Casson nanofluid
    • Year: 2024
  • Title: A Hybrid SIR-Fuzzy Model for Epidemic Dynamics: A Numerical Study
    • Year: 2024
  • Title: Precision in disease dynamics: Finite difference solutions for stochastic epidemics with treatment cure and partial immunity
    • Year: 2024