Neelarnab Dutta | Product Design |Best Researcher Award

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Dr. Neelarnab Dutta | Product Design |Best Researcher Award

Dr at MIT ADT University,Ā  India

Neelarnab Dutta is a distinguished designer and innovator with 15 years of experience in industrial design, R&D, and medical device innovation. His diverse expertise encompasses animation, transportation design, and product design, with notable contributions to advanced healthcare solutions. As the founder of Inochicare Pvt. Ltd., he has commercialized patented technologies aimed at improving wound healing. Neelarnab has received several prestigious awards, including the Prime Ministerā€™s Research Fellowship and the Stanford Biodesign Fellowship, reflecting his commitment to excellence in design and innovation.

Profile

Scholar

Education šŸŽ“

Neelarnab Dutta holds a Bachelor’s degree in Design, which laid the foundation for his successful career in industrial design. He pursued a Master’s degree in Product Design, further enhancing his design thinking and engineering capabilities. His academic journey was enriched by participation in advanced programs like the Stanford Biodesign Fellowship, where he honed his skills in medical device innovation. His education emphasizes user-centered design and engineering, equipping him with the tools to address real-world challenges through innovative solutions.

Experience šŸ’¼

Neelarnab has held several significant positions throughout his career, including Associate Professor at MIT-ADT University and Prime Ministerā€™s Research Fellow at IIT Guwahati. He founded Abhedya Innovations, developing medical technologies for cancer screening. As Co-Founder of Inochi Care, he led projects focusing on chronic wound healing solutions. His previous roles included Lead Product Designer at Tata Elxsi and Member of Engineering Staff at the Electronics and Telecommunication Research Institute in South Korea, showcasing his extensive experience in design and innovation across various sectors.

Awards and Honors šŸ†

Neelarnab has received numerous accolades for his contributions to design and innovation. He was awarded the Prime Ministerā€™s Research Fellowship in 2020 for his Ph.D. research and the prestigious Biodesign Fellowship in 2016. His startup, Inochicare, has garnered multiple grants, including the BIRAC-Biotechnology Ignition Grant and the BIRAC-Industry Innovation Programme Grant. He has also been recognized with the BIRAC-TIE Winner Award for his innovative work in wound healing technologies, highlighting his impactful contributions to healthcare design.

Research Focus šŸ”¬

Neelarnab’s research primarily focuses on medical device innovation, particularly in the areas of wound healing and cancer screening technologies. He is passionate about developing user-centered designs that address unmet medical needs. His expertise extends to product design methods, ergonomics, and usability engineering, emphasizing the importance of enhancing user experience in medical technologies. With a strong commitment to advancing healthcare solutions, Neelarnab actively contributes to research publications and workshops, fostering a culture of innovation in design.

Conclusion

The candidate for the Best Researcher Award demonstrates exceptional strengths in innovative research, collaboration, and community engagement. Their contributions have not only advanced their field but also inspired future researchers. While there are areas for improvement, particularly in broader dissemination and grant acquisition, the overall impact of their work positions them as a strong contender for this recognition. With continued dedication to refining their skills and outreach efforts, they are poised to achieve even greater accomplishments in their academic and professional journey.

Publications Top Notes

  • From industrial design to healthcare innovationā€”a comparative study on the role of user-centered design and Stanford biodesign process
    Cited by: 5
    Year: 2021
    Source: Design for Tomorrowā€”Volume 3: Proceedings of ICoRD 2021, 665-677

 

  • Wound dressing for combined negative pressure and fluid delivery system
    Cited by: 3
    Year: 2023
    Source: US Patent 11,596,555

 

  • Understanding Medical Technology Innovation in Low-and Middle-Income Countries: Factors, Impact, and a Model Proposal
    Cited by: Not specified
    Year: 2024
    Source: She Ji: The Journal of Design, Economics, and Innovation 10 (2), 192-222

 

  • Investigating Usability of Conversational User Interfaces for Integrated System-Physical Interactions: A Medical Device Perspective
    Cited by: Not specified
    Year: 2024
    Source: International Journal of Humanā€“Computer Interaction, 1-34

 

  • Investigating Usability of Conversational User Interfaces for Interactive Artificial Intelligence System: A Medical Device Perspective
    Cited by: Not specified
    Year: Not specified
    Source: Available at SSRN 4357029

 

Ponsuriyaprakash Selvakumar | Material Science | Young Scientist Award

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Dr. Ponsuriyaprakash Selvakumar | Material Science | Young Scientist Award

Assistant Professor at Mangayarkarasi College of Engineering India

Dr. S. Ponsuriyaprakash is an Assistant Professor in Mechanical Engineering with expertise in additive manufacturing and materials science. He earned his Ph.D. from Anna University, publishing six international papers and holding an Indian patent. With 1.5 years of teaching experience and five years of research experience, he has coordinated various academic activities and served as a mentor for students. His projects include developing cellulose fiber-reinforced composites and 3D-printed hip replacements. Dr. Ponsuriyaprakash is skilled in AutoCAD, Pro-E, and manufacturing technology, contributing significantly to the field of engineering and education.

profile

Scholar

šŸ§‘ā€šŸ« Career Objective

Dynamic and extroverted faculty member aiming to leverage my research expertise along with teaching, organizing, and exploring skills to uplift and benefit students.

šŸŽ“ Educational Qualifications

Ph.D. in Additive Manufacturing, Material Science K.L.N College of Engineering, Anna University (Jan 2023) Publications: 6 (International) & 1 (Indian Patent). M.E. in CAD/CAM
K.L.N College of Engineering, Anna University (June 2017) CGPA: 8.75, FWD, AU Rank Holder. B.E. in Mechanical Engineering Nadar Saraswathi College of Engg., Anna University (April 2015)
CGPA: 6.5. Additional Qualifications Master Diploma in Yoga and Naturopathy Science (2016) Prathmic in Hindi (2008)

šŸ’¼ Experience

Assistant Professor, Mechanical Engineering SSM Institute of Engineering and Technology, Dindigul (Feb 2023 – Present). Research Scholar
K.L.N College of Engineering (Jan 2018 – Jan 2023)

šŸ“‹ Roles & Responsibilities

  • Research Activities Coordinator
  • Class Committee Meeting Incharge
  • IIC Member
  • Student Mentor
  • Academic Audit Incharge

āš™ļø Technical/Academic Skills

  • Additive Manufacturing
  • AutoCAD and Pro-E (PTC Creo)
  • Automobile Engineering
  • Materials Science and Characterization
  • Engineering Graphics

šŸ› ļø Projects

Experimental Investigation of ABS Matrix and Cellulose Fiber Reinforced Polymer Composite Materials Focused on enhancing ABS polymer with cellulose fiber for automotive component models using FDM 3D printing. Design and Prototype of Hip Replacement using 3D Printing Technology Developed bio-plastic hip implants using additive manufacturing techniques. 3 Axis Modern Hydraulic Trailer Designed a trailer capable of dropping goods in three directions using a universal joint coupling.

Publications Top Notes:

 

  1. Experimental investigation of ABS matrix and cellulose fiber reinforced polymer composite materials
    • Authors: S Ponsuriyaprakash, P Udhayakumar, R Pandiyarajan
    • Journal: Journal of Natural Fibers, 2022, 19(9), pp. 3241-3252

 

  1. Experimental investigation of morphological and mechanical properties of SiC-neem-coir fiber reinforced hybrid composite
    • Authors: R Pandiyarajan, S Ponsuriyaprakash
    • Journal: Journal of the Chinese Institute of Engineers, 2022, 45(6), pp. 532-542

 

  1. Mechanical characterization and morphological behavior of a novel composite of ABS polymer strengthened by cellulose
    • Authors: S Ponsuriyaprakash, P Udhayakumar, R Pandiyarajan
    • Journal: Journal of the Chinese Institute of Engineers, 2022, 45(3), pp. 255-265

 

  1. Additive manufacturing of customized automotive components using novel cellulose fiber reinforced ABS polymer filament
    • Authors: PS Hemalatha A, Sabarish S, Udhayakumar P
    • Journal: International Journal on Interactive Design and Manufacturing, 2023, 17, pp. 1869ā€“1880

 

  1. Optimization and analysis of dry sliding wear process parameters on cellulose reinforced ABS polymer composite material
    • Authors: S Ponsuriyaprakash, P Udhayakumar, R Pandiyarajan
    • Journal: Pigment & Resin Technology, 2021, 52(2), pp. 203-210

 

  1. Synthesis, Characterization and Production of 3D Printing Filament by Bio-degradable Fiber Reinforced ABS Polymer Matrix Composite Material
    • Authors: S Ponsuriyaprakash, P Udhayakumar, R Pandiyarajan, D Antony Prabu, et al.
    • In: Recent Advances in Materials Technologies: Select Proceedings of ICEMT 2021, 2022

 

  1. Synergistic tuning of photoluminescence and biocompatibility in CaS phosphor through dopant combinations of Eu3+, Dy3+, and Tm3+
    • Authors: DSSP V. Kavitha, M. Prema Rani
    • Journal: Journal of Nanoparticle Research, 2024, 26(95)

 

  1. Process Parameter Optimization during the Friction Stir Spot Welding Process
    • Authors: R Pandiyarajan, S Sabarish, S Ponsuriyaprakash
    • In: Friction Stir Spot Welding, pp. 39-58

 

  1. Experimental investigation of ABS matrix and cellulose fiber reinforced polymer composite materials in additive manufacturing
    • Authors: S Ponsuriyaprakash
    • Location: Chennai

 

  1. Prototyping and Analysis of Hip Implant by Rapid Prototyping
    • Authors: S Ponsuriyaprakash, PU Kumar

Conclusion

In conclusion, the candidate demonstrates a strong potential for the Young Scientist Award, characterized by innovative research, a solid publication record, and effective collaboration. While there are areas for improvement, such as enhancing networking and public engagement, these are manageable with strategic efforts. The candidateā€™s contributions to their field, coupled with their commitment to growth and development, make them a suitable candidate for this prestigious award. Investing in these improvement areas will not only enhance their research impact but also bolster their profile as a leader in the scientific community.

Chi Ma | Mechanical Design | Best Scholar Award

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Assoc Prof Dr. Chi Ma ā€Œ | Mechanical Design|Best Scholar AwardĀ 

Assoc Prof Dr at Chi Ma Chongqing University China

Dr. Ma Chi, an Associate Professor at Chongqing University, specializes in numerical control equipment. Over the past five years, he has authored or coauthored 40 SCI papers with an average impact factor of 6.7355, earning over 1700 citations. His research, published in top journals like Int. J. Mach. Tools Manuf. and ASME’s J. Manuf. Sci. E-T, has garnered significant academic and industrial acclaim. He holds more than 20 national invention patents, contributing to substantial economic and social benefits. Dr. Ma has led six major research projects and serves on several prestigious editorial and professional committees.

Profile

 

 

šŸ“šEducationĀ 

Ph.D. in Mechanical Engineering, Xi’an Jiaotong University (2012-2017) Advisor: Prof. Xuesong Mei. B.Eng. in Mechanical Design, Manufacture, and Automation, Xi’an Technological University (2008-2012)

āœØ Work Experience

Postdoctoral Fellow / Associate Professor, Chongqing University (2018-Present) Lecturer, Chongqing University (2018-2020) Joint Ph.D. Student, University of California, Berkeley (2016-2017) Advisor: Prof. David B. Bogy

šŸ§‘ā€šŸ”¬Research Interests

High-efficiency and precision processing, Thermal error prediction and compensation in machining equipment, Simulation modeling of machining errors, Topology optimization in cooling systems for machining tools

šŸ… Professional Achievements

Publications: Authored/coauthored 50 SCI papers, average impact factor: 6.7355 Key journals: Int. J. Mach. Tools Manuf., ASME’s J. Manuf. Sci. E-T, J. Manuf. Process., Mech. Syst. Signal Pr. Citations: Over 1700 on SCI. Patents: Holds over 20 national invention patents. Projects: Presided over six major scientific research projects including National Key Research and Development Plan projects Participated in multiple high-profile projects like National Defence Project, National Natural Science Foundation key projects. Awards: First Prize of Chongqing Municipal Scientific and Technological Progress First Prize of Technological Invention of Machinery Industry Silver Prize of the 24th China Patent Award

šŸ“Š Project Undertaking

I have presided over a total of six scientific research projects including the National Key Research and Development Plan projects, the National Natural Science Foundation of China (NSFC) top/youth projects, the Chongqing Natural Science Foundation top projects, the China Postdoctoral Science Foundation, and the Chongqing Municipal Overseas Returned Scholars Support Plan projects, and participated in two major special projects, the National Defence Project, the National Natural Science Foundation key projects, the 04 Scientific and Technological Major Special Projects, and the National Key Research and Development Plan projects, among others, for six projects.

 

Publications Top Notes šŸ“

 

  1. šŸ“„ Li M, Ma C*, Zeng S, et al. Cooling water jacket design of motorized spindle system using multi-objective topology optimization[J]. Applied Thermal Engineering, 2023, 224: 120112.
    šŸ”— https://doi.org/10.1016/j.applthermaleng.2023.120112
  2. šŸ“„ Li M, Zeng S, Hu J, Ma C*. Free-mounted cooling plate multi-objective topology optimization method towards precision machine tool heat dissipation An experimental and numerical study[J]. International Journal of Heat and Mass Transfer, 2023, 241: 124394.
    šŸ”— https://doi.org/10.1016/j.ijheatmasstransfer.2023.124394
  3. šŸ“„ Li M, Ma C*, Liu J, et al. Topology optimization design of cooling water jacket structure for high-speed spindle-bearing system[J]. Journal of Manufacturing Processes, 2023, 102: 1-22.
    šŸ”— https://doi.org/10.1016/j.jmapro.2023.07.034
  4. šŸ“„ Li M, Ma C*, Liu J, et al. Thermal error prediction of precision boring machine tools based on extreme gradient boosting algorithm-improved sailed fish optimizer-bi-directional ordered neurons-long short-term memory neural network model and physical-edge-cloud system[J]. Engineering Applications of Artificial Intelligence, 2024, 127: 107278.
    šŸ”— https://doi.org/10.1016/j.engappai.2023.107278
  5. šŸ“„ Luo F, Ma C*, Liu J, et al. Effect of gas-liquid phase change of axial rotating heat pipe on fluid-thermal-solid behaviors of high-speed spindle[J]. Applied Thermal Engineering, 2023, 232: 121117.
    šŸ”— https://doi.org/10.1016/j.applthermaleng.2023.121117
  6. šŸ“„ Luo F, Ma C*, Liu J, et al. Theoretical and experimental study on rotating heat pipe towards thermal error control of motorized spindle[J]. International Journal of Thermal Sciences, 2023, 185: 108095.
    šŸ”— https://doi.org/10.1016/j.ijthermalsci.2022.108095
  7. šŸ“„ Zeng S, Ma C*, Liu J, et al. Sequence-to-sequence based LSTM network modeling and its application in thermal error control framework[J]. Applied Soft Computing, 2023, 138: 110221.
    šŸ”— https://doi.org/10.1016/j.asoc.2023.110221
  8. šŸ“„ Gui H, Liu J, Ma C*, et al. Industrial-oriented machine learning big data framework for temporal-spatial error prediction and control with DTSMGCN model[J]. Journal of Intelligent Manufacturing, 2023.
    šŸ”— https://doi.org/10.1007/s10845-023-02095-3
  9. šŸ“„ Zhang L, Liu J, Ma C*, et al. Intelligent integrated framework towards high-accuracy machining[J]. Engineering Science and Technology, an International Journal, 2023, 40: 101359.
    šŸ”— https://doi.org/10.1016/j.jestch.2023.101359
  10. šŸ“„ Luo F, Ma C*, Liu J, et al. Thermal error prediction and control method combining residua-based one-dimensional convolution-minimum gate unit model with physical-data-edge-cloud terminal architecture[J]. Neural Computing and Applications, 2023, 41: 103234.