omkar kulkarni | Mechanical | Young Scientist Award

Dr. omkar kulkarni | Mechanical | Best Researcher Award

Ā Dr. Vishwanath Karad MIT World Peace University, India

Dr. Omkar Kamalakant Kulkarni is a dedicated educator and researcher in Mechanical Engineering, specializing in micro-forming and manufacturing optimization. He currently serves at Dr. Vishwanath Karad MIT World Peace University, Pune, with over a decade of academic experience. A recipient of prestigious awards like the Young Engineers Award, Dr. Kulkarni focuses on leveraging computational intelligence to enhance manufacturing processes. His expertise spans advanced material processing, CNC programming, and design optimization, underpinned by a strong foundation in mechanical engineering. Passionate about teaching and research, he actively contributes to both academia and industry innovation.

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Scholar

šŸŽ“ Education

Ph.D.: Mechanical Engineering, Dr. Vishwanath Karad MIT World Peace University, Pune, 2023. M.E.: CAD/CAM Engineering, Zeal College of Engineering, Pune (SPPU), 2015, CGPA: 8.45. B.E.: Mechanical Engineering, Dhole Patil College of Engineering, Pune, 2013, 66.33%. Diploma: Mechanical Engineering, BVJNIOT, Pune, 2009, 72.83%. SSC: Muktangan English School, Pune, 2006, 65%.

šŸ’¼ Experience

Assistant Professor, Dr. Vishwanath Karad MIT World Peace University, Pune (2020ā€“Present). Lecturer, Maharashtra Institute of Technology, Pune (2017ā€“2020). Faculty, Zeal College of Engineering & Research, Pune (2013ā€“2017). Over 10 years of academic experience focused on teaching advanced mechanical concepts, guiding projects, and engaging in research collaborations.

šŸ† Awards and Honors

Young Engineers Award, IEI Kolkata, 2023 (National). IMTEX Metal Forming Certificate, IMTEX 2022 (National). 2nd Rank in University, Savitribai Phule Pune University, 2015 (State). Recognized for excellence in teaching, research, and technical innovation in mechanical engineering.

šŸ”¬ Research Focus

Micro-Forming: Investigations into bio-materials and precision forming. Optimization: Springback minimization in deep drawing using Cohort Intelligence Algorithm. CNC Programming: Process planning and automation using MastercamX5. Specializes in leveraging computational tools to advance manufacturing efficiency and material properties.

šŸ†ConclusionĀ 

Dr. Kulkarniā€™s dedication to advancing mechanical engineering through innovative research and optimization techniques makes him a strong contender for the Research for Young Scientist Award. By addressing areas of improvement and continuing to build on his impressive foundation, he can further cement his position as a leading researcher in his field. His academic contributions, technical expertise, and commitment to education and innovation clearly align with the spirit of the award.

šŸ“šPublicationsĀ 

  • Application of Grasshopper Optimization Algorithm for Constrained and Unconstrained Test Functions
    Year: 2017
    Authors: A.G. Neve, G.M. Kakandikar, O. Kulkarni

 

  • Constrained Cohort Intelligence Using Static and Dynamic Penalty Function Approach for Mechanical Components Design
    Year: 2018
    Authors: O. Kulkarni, N. Kulkarni, A.J. Kulkarni, G. Kakandikar

 

  • Process Parameter Optimization in WEDM by Grey Wolf Optimizer
    Year: 2018
    Authors: O. Kulkarni, S. Kulkarni

 

  • An Insight Review on Jellyfish Optimization Algorithm and Its Application in Engineering
    Year: 2022
    Authors: A. Khare, G.M. Kakandikar, O.K. Kulkarni

 

  • Experimental and Numerical Investigations on Forming Limit Curves in Micro Forming
    Year: 2022
    Authors: G. Patel, K. Ganesh M., O. Kulkarni

 

  • Optimising Fracture in Automotive Tail Cap by Firefly Algorithm
    Year: 2020
    Authors: G.M. Kakandikar, O. Kulkarni, S. Patekar, T. Bhoskar

 

  • Parameter Optimization of AISI 316 Austenitic Stainless Steel for Surface Roughness by Grasshopper Optimization Algorithm
    Year: 2021
    Authors: S. Jawade, O.K. Kulkarni, G.M. Kakandikar

 

  • Process Parameters Optimization by Bat Inspired Algorithm of CNC Turning on EN8 Steel for Prediction of Surface Roughness
    Year: 2021
    Authors: C.G. Burande, O.K. Kulkarni, S. Jawade, G.M. Kakandikar

 

  • Optimization of Railway Bogie Snubber Spring with Grasshopper Algorithm
    Year: 2020
    Authors: A.G. Neve, G.M. Kakandikar, O. Kulkarni, V.M. Nandedkar

 

  • Development of a Multi-Objective Salp Swarm Algorithm for Benchmark Functions and Real-World Problems
    Year: 2019
    Authors: S.P. Mhatugade, G.M. Kakandikar, O.K. Kulkarni, V.M. Nandedkar

 

 

Alynah J. Adams | Mechanical Properties | Best Researcher Award

Ms. Alynah J. Adams | Mechanical Properties | Best Researcher Award

Ms at Medical College of Wisconsin United States

Alynah Adams is a dedicated medical student at the Medical College of Wisconsin (MCW), Class of 2026, with a passion for advancing health through research, mentorship, and service. She has a background in biology and biochemistry, earning her Bachelor of Science with Departmental Distinction from the University of Missouri ā€“ Kansas City. Alynah’s academic and extracurricular pursuits have been guided by her commitment to diversity, inclusion, and community service. She is actively involved in organizations like the Student National Medical Association (SNMA) and American College of Surgeons, serving as both a leader and volunteer. Her leadership roles include organizing events like the Black-Tie Gala at MCW and mentoring underrepresented students navigating medical school applications. Alynahā€™s dedication to enhancing healthcare delivery extends to her research, where she investigates medical applications of innovative treatments and surgical techniques.

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Education šŸŽ“

Alynah Adams is currently pursuing her Doctor of Medicine degree at the Medical College of Wisconsin (MCW), where she was awarded honors in research. She began her medical journey in August 2022 and is expected to graduate in 2026. Alynah previously completed her Bachelor of Science in Biology with a minor in Chemistry at the University of Missouri ā€“ Kansas City (2018-2020), where she graduated with Departmental Distinction. Before that, she earned a Bachelor of Science in Biochemistry from Peru State College (2016-2018). During her time at Peru State, Alynah was a varsity volleyball player, excelling as a middle hitter on the NAIA D1 team. Her academic journey reflects her commitment to both scientific rigor and athletic excellence. Throughout her education, she demonstrated a passion for research, leadership, and service, paving the way for her current role in medical education and her ongoing contributions to healthcare.

Experience šŸ§‘ā€šŸ«

Alynah Adams has extensive research and clinical experience that complements her medical education. She participated in the Harvard Medical School & Beth Israel Deaconess Medical Center Visiting Research Internship Program, where she worked on various projects, including investigating the impact of diets on wound healing and exploring advanced surgical techniques such as 3D printing for nerve repair. At the Medical College of Wisconsin, Alynah collaborates with faculty in vascular surgery, plastic surgery, and surgical oncology, contributing to studies on vascular injuries, breast reconstruction, and COVID-19’s impact on surgery. Additionally, she has volunteered and worked as a certified phlebotomy technician, contributing to community health through her roles at the Kansas University Jay Doc Free Clinic and various medical centers. Alynah has been a research intern at BioMed-Valley Discoveries and has mentored underrepresented high school students, encouraging them to pursue STEM careers.

šŸ† Awards and Honors

Alynah Adams has received numerous awards and honors throughout her academic and professional journey. She earned a spot on the Undergraduate Deanā€™s List at the University of Missouri ā€“ Kansas City (2016-2020) and received full tuition and room & board through the NAIA D1 Collegiate Volleyball Scholarship during her time at Peru State College. Alynah has also been recognized for her research excellence with the Dr. John and Daisy Clark Wear Award. She was awarded the Uihlein Deanship Scholarship for her studies at the Medical College of Wisconsin, as well as several travel awards, including the American College of Surgeons Clinical Congress Department of Surgery Travel Award in 2023 and the Vascular Surgery Annual Meeting Travel Award in 2024. She was also honored with the Outstanding Volunteer Services Award at the JayDoc Free Health Clinic in 2021. Alynahā€™s commitment to diversity and service was recognized with multiple scholarships and awards, including the Underrepresented in Medicine Scholarship.

šŸ”¬ Research Focus

Alynah Adams’ research focuses on innovative approaches to surgery and medical treatments, with particular interest in wound healing, surgical recovery, and novel medical technologies. She has contributed to multiple systematic reviews and manuscripts, exploring topics such as the impact of vegan and vegetarian diets on wound healing, the use of enhanced recovery protocols in plastic surgery, and the application of 3D printing for nerve repair. Her ongoing research at the Medical College of Wisconsin includes investigating vascular surgery outcomes and the safety of graft closure techniques. She also examines the complexities of rare medical conditions, such as DRESS syndrome in vascular surgery. Alynahā€™s work is committed to improving patient care, particularly in underserved communities, as demonstrated by her involvement in diverse healthcare initiatives. Through her research, Alynah aims to advance surgical practices and contribute to the development of effective recovery protocols for surgical patients, particularly in the areas of plastic and vascular surgery.

šŸ… Conclusion

Alynah Adams is an outstanding candidate for research awards, showcasing exceptional commitment to advancing medical science, leadership in diversity initiatives, and consistent recognition for her work in prestigious research settings. Her extensive publication record, mentorship roles, and focus on significant medical challenges demonstrate both intellectual and social contributions to the field. By honing her focus on a particular research area and increasing her independent scholarly work, Alynah could achieve even greater recognition in the medical research community.

Publications šŸ“š

 

Title: The Operation Diversify Plastic Surgery Experience: Pioneering Diversity, Equity, and Inclusion Initiatives

Authors: Chilando Mulenga, Mauricio Downer, Ariel Vinson, Edgar Soto, Sarah Gubara, Olatunde Bashorun, Keisha Montalmant, Alynah Adams, DeCoria V. McCauley, Avery Ford, et al.
Journal: Plastic and Reconstructive Surgery – Global Open
Publication Date: April 2024
DOI: 10.1097/01.gox.0001014676.31463.b9
ISSN: 2169-7574
Contributor: Alynah J. Adams

 

 

 

Samira Gholizadeh | Mechanical and Materials Engineering | Best Researcher Award

Ms. Samira Gholizadeh | Mechanical and Materials Engineering | Best Researcher Award

Ms at University of Cape Town,Ā  South Africa

Samira Gholizadeh is a skilled mechanical engineer and AI enthusiast based in Cape Town, South Africa. As IBM Champion and founder of Mind Mover Academy, she advocates for knowledge-sharing and women’s empowerment in STEM. Samira holds extensive expertise in mechanical design, advanced material characterization, and AI-driven analysis. She leads with innovation in technical inspection and project management, actively contributing to industry standards and safety improvements. Her work encompasses leadership in AI communities and educational councils, aiming to bridge gender gaps in tech. Currently pursuing a Ph.D., Samira brings comprehensive experience to the fields of engineering and AI.

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Education šŸŽ“

Samira is a Ph.D. candidate in Mechanical Engineering at the University of Cape Town (2021-2024). She earned her M.Sc. in Manufacturing Systems Engineering from Universiti Putra Malaysia in 2015 and holds a B.Sc. in Industrial Design from Valiasr College, Tehran. Her foundational studies include a discrete associate degree in Technical Drawing from the University of Applied Science & Technology, Khorasan, Iran (2005). Additionally, Samira has a Postgraduate Diploma in AI & ML from the National Institute of Technology, Warangal, and completed the Oxford AI Programme, reflecting her commitment to bridging engineering with emerging technologies.

Experience šŸ’¼

Samira founded Caspian Felez Ofogh, where she directed industrial inspections, streamlining processes, and ensuring adherence to international standards. As Head of Mechanical Design Engineers at APEC, she managed projects in steel plant design and implemented Safety In Design principles. Previously, at Amin Industrial Company, she optimized production and maintenance, advancing Predictive Maintenance (PdM) methods. Her extensive background in production planning includes leading a team at Mashhad Millang Corporation to achieve ISO standards. As IBM TechXchange Liaison, she promotes diversity in AI, alongside her leadership role in UCTā€™s Postgraduate Student Council.

Awards and Honors šŸ†

Samira was awarded the IBM Champion badge for her significant contributions to AI advocacy and community leadership. She served as Chairperson of UCTā€™s EBE PG SC, championing postgraduate student rights and initiating successful workshops. Her dedication earned her high recognition in both industrial and academic spheres. Samira’s publications, including books and book chapters on engineering and composite materials, further highlight her expertise. She is also recognized for translating engineering texts into Farsi, broadening access to specialized knowledge in Iran.

Research Focus šŸ”¬

Samira’s research interests span advanced mechanical analysis, AI in engineering, and non-destructive testing (NDT) for material characterization. She integrates machine learning algorithms in mechanical testing, pioneering methods that enhance material durability and operational efficiency. Her recent works include microstructural analysis under blast loads and Austenitic Stainless Steel’s response to stress. Samira’s publications explore AI-driven advancements in NDT, and she continues to bridge AI with mechanical engineering to innovate in predictive analysis, material integrity, and sustainable manufacturing practices.

Conclusion šŸŒŸ

Overall, Samira Gholizadeh has demonstrated impressive technical capabilities, leadership qualities, and a clear impact on her field. With her commitment to innovation and inclusion, as evidenced by her leadership roles and her active role in promoting women in AI, she is a well-rounded candidate for the Best Researcher Award. Her profile speaks of a driven and versatile researcher, well-aligned with the values of academic excellence and professional integrity.

Publications Top Notes

  • A review of non-destructive testing methods of composite materials
    Year: 2016
    Authors: S Gholizadeh
    Conference: XV Portuguese Conference on Fracture, PCF 2016

 

  • A review of the application of acoustic emission technique in engineering
    Year: 2015
    Authors: S Gholizadeh, Z Leman, B T H T Baharudin
    Journal: Structural Engineering and Mechanics 54 (6), 1075-1095

 

  • A Review of Impact Behaviour in Composite Materials
    Year: 2019
    Authors: S Gholizadeh
    Journal: International Journal of Mechanical and Production Engineering 7 (3)

 

  • Top Popular Python Libraries in Research
    Year: 2022
    Authors: S Gholizadeh
    Journal: Journal of Robotics and Automation Research 3 (2), 142-145

 

  • State-Of-The-Art Ensemble Learning and Unsupervised Learning in Fatigue Crack Recognition of Glass Fiber Reinforced Polyester Composite (GFRP) Using Acoustic Emission
    Year: 2023
    Authors: B T H T Baharudin, S Gholizadeh, Z Leman
    Journal: Ultrasonics

 

  • Acoustic emission analysis for characterisation of damage mechanisms in glass fiber reinforced polyester composite
    Year: 2018
    Authors: S Gholizadeh, Z Leman, B Baharudin, O Inayatullah
    Journal: Australian Journal of Mechanical Engineering 16 (1), 11-20

 

  • Impact behaviours and Non-Destructive Testing (NDT) methods in carbon fiber composites in aerospace industry: a review
    Year: 2022
    Authors: S Gholizadeh, S Gholizadeh
    Preprint: Authorea Preprints

 

  • Deep Learning and Machine Learning Techniques in Advanced Non-Destructive Testing
    Year: 2023
    Authors: S Gholizadeh
    Journal: Journal of Harbin Engineering University 44 (11), 977-993

 

  • Evaluation Of Overall Equipment Effectiveness In Developing Country In Crankshaft Manufacturing
    Year: 2019
    Authors: S Gholizadeh
    Journal: Not specified

 

  • Damage Analysis and Prediction in Glass Fiber Reinforced Polyester Composite Using Acoustic Emission and Machine Learning
    Year: 2022
    Authors: S Gholizadeh
    Journal: Not specified

 

  • Damage Analysis and Prediction in Glass Fiber Reinforced Polyester Composite Using Acoustic Emission and Machine Learning
    Year: 2022
    Authors: S Gholizadeh
    Journal: Journal of Robotics and Automation Research 3 (2), 131-141

 

  • Glass fiber-reinforced polyester composite fatigue crack monitoring using acoustic emission
    Year: 2016
    Authors: O Inayatullah, S Gholizadeh, Z Leman, B T H T Baharudin
    Conference: Proceeding of 14th Research World International Conference, Auckland