Dongdong Liu | Fabrication and application of CVD diamond coatings | Best Researcher Award

Posted on by sciencefather

Dr. Dongdong Liu | Fabrication and application of CVD diamond coatings | Best Researcher Award

Dr. Dongdong Liu ,Shanghai Jiao Tong University, China

Dongdong Liu, is a Ph.D. candidate in the School of Mechanical Engineering at Shanghai Jiao Tong University (SJTU), one of China’s most prestigious research institutions. A direct-entry Ph.D. student, Dongdong is quickly emerging as a rising star in the field of advanced materials engineering, particularly in CVD (chemical vapor deposition) coatings and diamond tool technologies. He is mentored by Professor Fanghong Sun, a well-known expert in manufacturing and materials science.

Profile

Scopus

📘 Early Academic Pursuits

Dongdong began his academic journey with a B.Eng. in Mechanical and Electrical Engineering from the Nanjing University of Aeronautics and Astronautics (2017–2021), where he was recognized with the National Encouragement Scholarship (twice) and named both a University Outstanding Student and an Outstanding Graduate. His early achievements, including a second prize in a provincial mechanics competition, laid the foundation for his excellence in engineering and innovation.

🧑‍🔬 Professional Endeavors

Currently pursuing his Ph.D. since September 2021 at SJTU, Dongdong has led and co-led multiple major research projects. These include grants from the National Natural Science Foundation of China, international cooperative research, and industry-university collaboration projects. Notably, he has contributed to the design and industrial implementation of automated doping equipment for diamond coatings in cooperation with Mitsubishi (Japan)—a remarkable feat for a Ph.D. student.

🔬 Contributions and Research Focus

Dongdong’s research is centered on the fabrication and application of CVD coatings, especially diamond abrasive grains, doped/undoped single crystal diamond (SCD), and cutting and grinding tool technologies. His expertise includes simulation and experimental investigation of micro-edge diamond abrasive grains, the development of novel CVD-based grinding tools, and the design of high-performance doped diamond films. His innovations have applications in precision grinding of hard-brittle materials like SiC ceramics, quartz glass, and silicon wafers.

🌍 Impact and Influence

Despite still being a student, Dongdong’s research has already crossed academic and industrial boundaries. He has facilitated the industrialization of diamond coating technologies, a rare achievement at the doctoral level. His work bridges the gap between fundamental materials science and real-world engineering applications, contributing to sectors such as semiconductor manufacturing, automotive, and aerospace materials processing.

📚 Academic Cites

Dongdong has authored multiple first-author articles in high-impact journals, including:

  • Journal of Materials Research and Technology (IF: 6.2)

  • Journal of Manufacturing Processes (IF: 6.1)

  • Applied Surface Science (IF: 6.3)

  • Diamond and Related Materials (IF: 4.3)

  • Ceramics International (IF: 5.1)

These publications, combined with his participation in international symposia like ISAAT 2023 and 2024, have made his work visible to a global research community.

🧪 Research Skills

Dongdong brings a rare combination of theoretical depth and experimental mastery. His skills span:

  • CVD process simulation and optimization

  • Diamond doping technologies (B, N, Si, and multi-doping)

  • Advanced tool design and fabrication

  • Materials characterization

  • Finite element simulations of grinding mechanisms

His ability to translate complex scientific theories into functional industrial applications underscores his exceptional research acumen.

🎓 Teaching Experience

While not explicitly mentioned, his extensive project leadership, publication record, and conference presentations strongly imply mentorship and knowledge transfer skills, crucial for teaching and academic development roles in the future.

🏅 Awards and Honors

Dongdong has accumulated numerous accolades that reflect his academic excellence and innovation:

  • 🥈 2024 Silver Award (Team Leader), CICSIC Industry Track, Shanghai Division

  • 🎓 BYD Scholarship, 2024 (Industry-recognized)

  • 🏆 National Encouragement Scholarship, twice

  • 🥈 Second Prize, Provincial Mechanics Competition

  • 🌟 Outstanding Student & Graduate, Nanjing University of Aeronautics and Astronautics

These honors are a testament to his leadership, creativity, and technical excellence.

🚀 Legacy and Future Contributions

Dongdong Liu is poised to become a leading researcher and innovator in materials engineering and tool technology. His contributions to CVD-based diamond tool development, particularly in precision grinding and semiconductor processing, have already demonstrated industrial scalability and societal relevance. With his momentum, he is expected to contribute to next-generation manufacturing technologies, mentor future engineers, and bridge academic research with industrial implementation.

Top Publications

Simulation and experimental investigation of single CVD micro-edge diamond abrasive grain grinding

  • Authors: Liu D, Zhu H, Shen R, et al.
    Journal: Journal of Materials Research and Technology
    Year: 2025 (Accepted)

 Numerical simulation and experimental researches on different abrasive grain arrangements of monolayer   diamond grinding tools fabricated by HFCVD method

  • Authors: Liu D, Zhu H, Lu M, et al.
    Journal: Journal of Manufacturing Processes
    Year: 2024

 Fabrication and grinding performance of CVD diamond coated Ni-based brazed diamond grinding tools

  • Authors: Liu D, Zhu H, Shen R, et al.
    Journal: Journal of Manufacturing Processes
    Year: 2025 (Accepted)

 Optimization of deposition parameters for the growth of micro-edge diamond abrasive grains using HFCVD method

  • Authors: Liu D, Lu M, Zhang C, et al.
    Journal: Diamond and Related Materials
    Year: 2023

DFT calculations and experiments of oxidation resistance research on B, N, and Si multi-doped diamond films

  • Authors: Lu M, Liu D, Zhang C, et al.
    Journal: Applied Surface Science
    Year: 2023

Farzaneh Rastegari | DNA isolation and PCR amplification approaches | Best Researcher Award

Posted on by sciencefather

Mrs. Farzaneh Rastegari | DNA isolation and PCR amplification approaches | Best Researcher Award

Graduate at University of Connecticut, United States

Farzaneh (Dana) Rastegari is a dedicated researcher in computational biology and bioinformatics, specializing in microbiome analysis, machine learning, and genomics. With a strong foundation in computer science and engineering, she applies computational and statistical methods to analyze microbial communities and their interactions. Her interdisciplinary expertise spans software development, wet lab techniques, and data analytics, making her a valuable contributor to biomedical research.

Profile 

Scopus

Education 🎓

Farzaneh is currently pursuing her Ph.D. in Computer Science and Engineering at the University of Connecticut (UConn), where she maintains an impressive GPA of 3.88/4.0. She previously earned her M.S. in Electrical and Computer Engineering from the University of New Haven (UNH), focusing on communication networks. Her academic journey began with a B.S. in Computer Science, specializing in robotics, from Amirkabir University of Technology (Tehran Polytechnic).

Experience 💼

As a Predoctoral Associate at The Jackson Laboratory, Farzaneh conducts extensive microbiome research involving wet lab methodologies, data processing, statistical analysis, and pipeline development. Her work at UConn includes computational genomics, Bayesian machine learning, and artificial intelligence applications in bioinformatics. Additionally, her past experience at UNH and AUT includes projects in signal processing, communication networks, and robotics, demonstrating her versatility in multiple research domains.

Research Interests 🔬

Farzaneh’s research focuses on bioinformatics, genomics, computational biology, machine learning, and artificial intelligence. Her work in microbiome research explores microbial community interactions, statistical modeling, and algorithm development for genomic data analysis. She is also passionate about evolutionary genomics, phylogenetic analysis, and predictive modeling in biomedical research.

Awards & Achievements 🏆

  • Awarded Predoctoral Fellowship at UConn’s Computer Science and Engineering department.
  • Received the Summer Doctoral Dissertation Fellowship from the Graduate School at UConn.
  • Ranked as the top student in her M.S. program at UNH, holding the highest GPA in her class.
  • Ranked among the top three students in her B.S. program at AUT.
  • Member of the Parsian Robotic team, ranked among the top 20 teams worldwide in small-size soccer robots (Robocup, Atlanta, USA).
  • Secured the 14th position in the world ranking for small-size soccer robots at Robocup, Bremen, Germany.
  • Achieved second place in ACM/ICPC line follower robots competition (Sharif University of Technology, Tehran, Iran).
  • Ranked in the 99.8 percentile among over 600,000 students in Iran’s national university entrance exam.
  • Selected for NODET (National Organization for Development of Exceptional Talents), Iran.
  • Certified in CPR, first aid, and emergency care.
  • Holds a second-dan certificate from Kukkiwon’s Taekwondo Association, South Korea.

Publications 📚 Published:

  • Metagenomics and Chemotherapy-Induced Nausea: A Roadmap for Future Research
    • Authors: Crowder, S. L., Hoogland, A. I., Welniak, T. L., LaFranchise, E. A., Carpenter, K. M., Li, D., Rotroff, D. M., Mariam, A., Pierce, C. M., Fischer, S. M., Kinney, A. Y., Rastegari, F., Weinstock, G. M., Jim, H. S. L.
    • Year: 2022
  • Predictive Modeling of Chronic Kidney Disease Progression Using Longitudinal Clinical Data and Deep Learning Techniques
    • Authors: Rastegari, F., Odeh, M., Baroughi, R. M., Bustan, A.
    • Year: 2023
  • Exploring the Relationship between Air Pollution and CNS Disease Mortality in Italy: A Forecasting Study with ARIMA and XGBoost
    • Authors: Karimi, M., Hamzehei, S., Rastegari, F., Akbarzadeh, O.
    • Year: 2023
  • A Comprehensive Simulation of Electric Vehicle Energy Consumption: Incorporating Route Planning and Machine Learning-Based Predictions
    • Authors: Baroughi, R. M., Attar, H., Rastegari, F.
    • Year: 2023
  • Comparison of Lysis and Amplification Methodologies for Optimal 16S rRNA Gene Profiling for Human and Mouse Microbiome Studies
    • Authors: Rastegari, F., Driscoll, M., Riordan, J. D., Nadeau, J. H., Johnson, J. S., Weinstock, G. M.
    • Year: 2025
  • On the Accuracy of HGTs Inference Using Phylogenetic Reconciliation
    • Authors: Rastegari, F., Masi, A., Bansal, M.
    • Year: Year of publication is not specified.

Conclusion

Farzaneh (Dana) Rastegari is an exceptional researcher with a diverse skill set in bioinformatics, microbiome research, AI, and robotics. Her strong technical expertise, multidisciplinary research contributions, and outstanding academic achievements make her a top candidate for the Best Researcher Award. While she already has a strong publication record and international recognition, further interdisciplinary collaborations, high-impact journal publications, and leadership in research grants could further solidify her position as a leading researcher in computational biology and AI-driven genomics.

Daniel Laskey | Lung Transplantation | Best Researcher Award

Posted on by sciencefather

Dr. Daniel Laskey | Lung Transplantation | Best Researcher Award

Assistant Professor at Mount Sinai Hospital, United States 

Dr. Daniel Hendrik Laskey is an accomplished Assistant Professor in the Department of Thoracic Surgery at the Icahn School of Medicine, Mount Sinai Hospital. With extensive experience in cardiothoracic surgery, he is a dedicated medical professional and researcher passionate about advancing surgical techniques and improving patient outcomes. His expertise spans various innovative surgical methods, with numerous peer-reviewed publications and active roles in prestigious medical societies.

Profile

ORCID

Education📚

Dr. Laskey’s educational journey is a testament to his dedication:
🎓 Doctor of Medicine – St. George’s University (2014)
🎓 Cardiothoracic Surgery Fellow – Icahn School of Medicine (2023)
🎓 Bachelor of Science – Tufts University (2005)

He also underwent comprehensive general surgery training at New York-Presbyterian Brooklyn Methodist Hospital, where he excelled as Chief Resident.

Experience💼

Dr. Laskey has garnered significant clinical expertise, particularly during his tenure as Administrative Chief Fellow in Cardiovascular Surgery and through research roles at renowned institutions like Brigham and Women’s Hospital. His innovative mindset is reflected in his participation in cutting-edge studies on reverse thermo-sensitive polymers and lung transplantation.

Research Interests🌟

Dr. Laskey’s research focuses on:

  • Lung transplantation techniques 🌬️
  • Management of coronary artery disease in lung transplant patients 🫁
  • Improving surgical methodologies with robotics and imaging 🩻

Awards🎖️

Dr. Laskey has been recognized for his excellence with numerous accolades:
🏆 Resident of the Year (2018–2019) – New York-Presbyterian Hospital
🏆 Teaching All-Star Award (2020) – Weill-Cornell Medicine
His awards reflect his unwavering commitment to surgical education and patient care.

Publications 📖

Dr. Laskey’s scholarly contributions include:

The Impact of COVID-19 Infection Prior to Lung Resection on Postoperative Complications

  • Year: 2024
  • DOI: 10.1016/j.atssr.2024.08.004
  • Contributors: Allen T Yu, Shubham Gulati, Shivam Joshi, Alex L. Huang, Daniel Laskey, Andrea Wolf, Emanuela Taioli, Raja Flores

Intraoperative Extracorporeal Support during Lung Transplantation: Not Just for the High-Risk Patient

  • Year: 2023
  • DOI: 10.3390/jcm13010192
  • Contributors: Daniel Laskey, Brian Housman, Gbalekan Dawodu, Scott Scheinin

The Evaluation and Management of Coronary Artery Disease in the Lung Transplant Patient

  • Year: 2023
  • DOI: 10.3390/jcm12247644
  • Contributors: Gregory Serrao, Manish Vinayak, Johny Nicolas, Varsha Subramaniam, Ashton C. Lai, Daniel Laskey, Annapoorna Kini, Harish Seethamraju, Scott Scheinin

Worth a Double Take? An In-Depth Review of Lung Retransplantation

  • Year: 2023
  • DOI: 10.3390/jcm12237418
  • Contributors: Gbalekan Dawodu, Shubham Gulati, Helena Bugacov, Daniel Laskey, Brian Housman, Harish Seethamraju, Scott Scheinin

Single Lung Transplant for Secondary Pulmonary Hypertension: The Right Option for the Right Patient

  • Year: 2023
  • DOI: 10.3390/jcm12216789
  • Contributors: Brian Housman, Daniel Laskey, Gbalekan Dawodu, Scott Scheinin

Measuring the Margin Distance in Pulmonary Wedge Resection

  • Year: 2022
  • DOI: 10.1002/jso.27053
  • Contributors: Wolf A, Laskey D, Yip R, Beasley MB, Yankelevitz DF, Claudia Henschke, IELCART Investigators

Acute Lower Extremity Ischemia Following Thoracotomy Owing to Arterial Tumor Emboli

  • Year: 2019
  • DOI: 10.1016/j.athoracsur.2019.03.059
  • Contributors: Cleary C, Laskey D, Shapiro M, Paolillo S, Harrison S

Distracting Injury Defined: Does an Isolated Hip Fracture Constitute a Distracting Injury for Clearance of the Cervical Spine?

  • Year: 2017
  • DOI: 10.1007/s10140-017-1555-x
  • Contributors: Lindborg R, Jambhekar A, Vincent Chan, Laskey D, Rucinski J, Fahoum B

Temporary Targeted Renal Blood Flow Interruption Using a Reverse Thermosensitive Polymer to Facilitate Bloodless Partial Nephrectomy: A Swine Survival Study

  • Year: 2012
  • DOI: 10.1111/j.1464-410x.2012.10967.x
  • Contributors: Harty NJ, Laskey DH, Moinzadeh A, Sebastian Flacke, Benn JA, Villani R, Kalra A, Libertino JA, Madras PN

Targeted Endovascular Temporary Vessel Occlusion with a Reverse Thermosensitive Polymer for Near-Bloodless Partial Nephrectomy: Comparison to Standard Surgical Clamping Techniques

  • Year: 2011
  • DOI: 10.1007/s00270-011-0304-x
  • Contributors: Sebastian Flacke, Harty NJ, Laskey DH, Moinzadeh A, Benn JA, Villani R, Kalra A, Libertino JA, Madras PN

Conclusion 🚀

Daniel Hendrik Laskey is an exceptionally strong candidate for the Research for Best Researcher Award. His blend of clinical expertise, academic accomplishments, and impactful research aligns well with the award’s criteria. By emphasizing leadership in independent research and broader dissemination of findings, he can further solidify his position as a leading figure in his field.

Ting Wu | Biology and Life science | Best Researcher Award

Posted on by sciencefather

Assist Prof Dr. Ting Wu | Biology and Life science | Best Researcher Award

Associate Professor at Zhongkai University of Agriculture and Engineering, China

Dr. Ting Wu is an Associate Professor at Zhongkai University of Agriculture and Engineering, specializing in agricultural electrification and automation. With a robust academic background from South China Agricultural University, he focuses on image and spectral detection technologies, particularly in food detection. Dr. Wu has an impressive research portfolio, including 12 completed or ongoing projects, 16 published journal articles, and 5 patents. He has collaborated with prominent researchers and is actively involved in professional societies like the Chinese Computer Society and the Guangdong Artificial Intelligence Society. His significant contributions to food safety through spectral techniques underscore his commitment to advancing knowledge in life sciences and artificial intelligence.

Publication profile

Scopus Profile

Education Background

Dr. Ting Wu graduated from South China Agricultural University, where he earned his degree in Agricultural Electrification and Automation. Currently, he serves as an associate professor at Zhongkai University of Agriculture and Engineering, where he focuses on teaching and conducting research in areas such as image and spectral detection, particularly in the context of food safety and quality. His educational background, combined with his expertise in agricultural technology, underpins his innovative research contributions and his role in advancing knowledge within his field.

Research Experience

Dr. Ting Wu, an Associate Professor at Zhongkai University of Agriculture and Engineering, has a robust research experience focused on image and spectral detection technologies, particularly in the realm of food safety. He has completed or is involved in 12 research projects, demonstrating a strong commitment to advancing knowledge in agricultural electrification and automation. With a citation index of 169 and 16 published articles in reputable journals, his work has significantly influenced the field. Notably, Dr. Wu has developed innovative methods for detecting food adulteration and freshness using spectral techniques, showcasing the application potential of his research. Additionally, he holds 5 patents, indicating his capability to translate academic findings into practical solutions. His collaborative work with notable researchers further enhances his profile, underscoring his contributions to the scientific community and industry.

Teaching and Mentoring Experience

Dr. Ting Wu has a rich teaching and mentoring background as an Associate Professor at Zhongkai University of Agriculture and Engineering. He is dedicated to fostering an engaging learning environment, where he integrates his extensive research in image/spectral detection and food technology into his teaching. Through his courses, Dr. Wu emphasizes practical applications of theoretical concepts, equipping students with the skills necessary for their future careers. He is also committed to mentoring students in their academic pursuits, guiding them in research projects and encouraging their professional development. His collaborative approach not only enhances student understanding but also nurtures a culture of inquiry and innovation within the academic community.

Work Experience

Dr. Ting Wu has accumulated extensive work experience as an Associate Professor at Zhongkai University of Agriculture and Engineering, where he specializes in agricultural electrification and automation. His primary focus lies in the domains of image and spectral detection, particularly in food safety and quality. Over his academic career, he has completed or is engaged in 12 research projects and has authored 16 publications in reputable journals, contributing significantly to the field. Additionally, Dr. Wu has been involved in consultancy projects, demonstrating his ability to bridge academia and industry. His collaborative efforts with notable researchers in food detection highlight his commitment to advancing knowledge and technology in agriculture. Through his work, he has developed innovative methods for detecting food adulteration and freshness, further establishing his expertise in the application of spectral techniques in the life sciences.

Awards, Honours & Certificates

Dr. Ting Wu has received numerous accolades and recognition for his contributions to the field of agricultural electrification and automation, particularly in food detection using spectral techniques. His work has earned him a citation index of 169, reflecting significant influence among peers and within the academic community. He has published extensively, with 16 articles in reputable journals and one book, showcasing his commitment to advancing knowledge in life sciences and artificial intelligence. Additionally, Dr. Wu holds five patents, further illustrating his innovative approach to research. His active involvement in professional organizations, such as the Chinese Computer Society and the Guangdong Artificial Intelligence Society, highlights his dedication to staying engaged with the latest developments in his field. Collectively, these achievements underscore Dr. Wu’s status as a leading researcher and an asset to the scientific community.

Publication Top Notes

  • Title: Accurate prediction of salmon storage time using improved Raman spectroscopy
    • Authors: Zhong, N., Li, Y.P., Li, X.Z., Guo, C.X., Wu, T.
    • Journal: Journal of Food Engineering
    • Year: 2021
    • Citations: 16
  • Title: Research on Hardness Detection Method of Crisped Grass Carp Based on Visible – Near Infrared Hyperspectral Technology
    • Authors: Wang, Q.X., Su, L.H., Zou, J., Wu, T., Yang, L.
    • Journal: Journal of Physics: Conference Series
    • Year: 2021
    • Citations: 3
  • Title: Accurate Identification of Agricultural Inputs Based on Sensor Monitoring Platform and SSDA-HELM-SOFTMAX Model
    • Authors: Zou, J., Jiang, H., Wang, Q., Wu, T., Yang, L.
    • Journal: Journal of Sensors
    • Year: 2021
    • Citations: 1
  • Title: Rapid identification of rainbow trout adulteration in Atlantic salmon by Raman spectroscopy combined with machine learning
    • Authors: Chen, Z., Wu, T., Xiang, C., Xu, X., Tian, X.
    • Journal: Molecules
    • Year: 2019
    • Citations: 37
  • Title: Establishment of a water nitrite nitrogen concentration prediction model based on stacked autoencoder-BP neural network
    • Authors: Fu, T., Liu, G., Wan, Q., Lin, L., Yang, L.
    • Journal: Journal of Fisheries of China
    • Year: 2019
    • Citations: 2

Conclusion

Dr. Ting Wu’s nomination for the Best Researcher Award is well-deserved, given his significant contributions to the field of food detection through innovative spectral techniques. His research addresses pertinent issues in food safety, and his extensive publication and patent record reflect a dedicated researcher. While there are areas for improvement, such as enhancing international visibility and public engagement, his strengths strongly support his candidacy for this prestigious award. Overall, Dr. Wu exemplifies the qualities of an outstanding researcher who is making a meaningful impact in his field.