Laura Brown | Caregiver Quality of Life | Best Researcher Award

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Dr. Laura Brown | Caregiver Quality of Life | Best Researcher Award

Lurie Children’s Hospital, Chicago ,United States

Dr Józef Sadkiewicz graduated in 2000 from the Faculty of Mathematics and Natural Sciences at Kazimierz Wielki University in Bydgoszcz. He obtained his doctoral degree in 2006 from the Faculty of Biotechnology and Agriculture at the J.J. Śniadecki Bydgoszcz University of Technology. Since 2000, he has served as the President of the Management Board at the Institute of Bakeries Instruments, specialising in engineering and measurement-control equipment for the food and chemical industries.

Profile

Education:

Professor Józef Flizikowski graduated in 1976 from the Faculty of Mechanical Engineering at the J.J. Śniadecki Bydgoszcz University of Technology. In 1984, he obtained his doctorate from the Faculty of Mechanical Engineering at Gdańsk University of Technology and, in 1991, completed his habilitation at the Faculty of Production Engineering at the University of Agriculture in Lublin. In 1997, he was awarded the academic title of Professor of Technical Sciences. His specialisation includes the design and operation of machinery for the chemical, food, and energy industries. He is now retired.

Scientific Publications

  • Optimizing the Team Approach: Designing a Clinical Care Pathway for Functional Neurological Disorder

    Journal for Healthcare Quality
    2024-09 | Journal article
    DOI: 10.1097/JHQ.0000000000000445

  • Use of the Assessment of Caregiver Experience with Neuromuscular Disease (ACEND) in Spinal Muscular Atrophy

    Journal of Clinical Medicine
    2024-02 | Journal article | Author
    DOI: 10.3390/jcm13040921
    CONTRIBUTORS: Laura Brown; Katie Hoffman; Chiara Corbo-Galli; Siyuan Dong; Katelyn Zumpf; Christa Weigel; Colleen Blomgren; Hannah Munson; Jessa Bidwell; Vamshi Rao et al.

Fatimazohra LENDA | Computational Neuroscience | Women Researcher Award

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 Prof Dr. Fatimazohra LENDA | Computational Neuroscience | Women Researcher Award

Université Abdelmalek Essaâdi FSTT ,Morocco

She attended various training courses throughout her career, enhancing her expertise in different fields. In 2023-2024, she was a member of the Laboratory of Physico-Chemistry of Materials, Natural Substances, and Environment (LAMSE) at the Faculty of Science and Technology, Tangier, Abdelmalek Essaâdi University, Morocco. Previously, in 2022-2023, she was part of the Organic Chemistry and Valorisation of Natural Substances (COVSN) Team at the Faculty of Science, Ibn Zohr University, Morocco. Her technical skills were further strengthened through a three-day training on MacOS (latest version) in 2015-2016. In 2014-2015, she completed a two-month training and certification in MOS (Microsoft Office Specialist), excelling in Office Word (90/100) and Office Excel 2010 (95/100) on her first attempt. Additionally, she attended a one-day training session in 2013-2014 on EXAO utilisation in physics and chemistry practical work using GLX at Allal Ibn Abdellah College, following a three-day training on the same topic in 2011-2012 at Ibn Abbad High School. Earlier, in 2010-2011, she participated in a one-week training program for CAPES practical preparation under the guidance of the Regional Coordinator Inspector at Chaouia-Ouardigha Academy.

Profile

Education:

She earned her PhD in Bioorganic Chemistry from Moulay Ismail University, Meknès (2001–2004), conducting research at the Laboratory of Applied Chemistry under the supervision of Professor Ferhate Guenoun. Her thesis, titled “Synthesis of Novel Tetrazolic and Triazolic Derivatives of α-Aminoadipic and Pipecolic Acids,” was awarded the highest distinction and defended on July 26, 2004. The examination committee included President Prof. Mustapha El Idrissi (Faculty of Science, Meknès), reviewers Prof. Najib Ben Larbi and Prof. Abdelrhani Elachqar (Faculty of Science-Dhar El Mehraz, Fès), and examiners Prof. Touria Zair, Prof. Frédéric Lamaty, Prof. Bouchra Tazi, Prof. Abdelouahid Sbai, and Prof. Farhate Guenoun. Prior to her PhD, she completed a DESA in Natural Substance Chemistry at Moulay Ismail University (1998–2001) and earned a Bachelor’s degree in Inorganic Chemistry from Sidi Mohamed Ben Abdallah University (1996–1997).

Experiences

She has amassed extensive professional experience in academia and research over the years. From 2023 to 2024, she served as an Assistant Professor of Organic Chemistry at the Faculty of Science and Technology in Tangier, Morocco, following her tenure from 2019 to 2023 in the same role at the Faculty of Science, Ibn Zohr University, Agadir. Prior to this, she dedicated nearly a decade (2010-2019) to teaching Physics and Chemistry at Ibn Abbad High School and Ibn al Khatib High School in Settat. Between 2017 and 2019, she also taught Physics and Chemistry for the International Baccalaureate (French Option) at Ibn al Khatib High School and Azzaytoune School in Settat. Her academic excellence was recognized in 2017-2018 when she ranked second in the competitive recruitment for an Assistant Professor position in Organic Chemistry at ENS Casablanca. Additionally, she contributed as a jury member for the CAPES practical exam in Physics and Chemistry in Settat from 2013 to 2015.

Her qualifications include obtaining the CAPES certification in Physics and Chemistry in 2011-2012, during which she also taught scientific translation (Physics and Chemistry) at Ibn al Khatib High School. She expanded her teaching expertise by instructing Mathematics at Ibn Abbad High School, Settat, in 2010-2011. Her academic credentials are further strengthened by her qualification as a Lecturer by the French CNU for the period 2008-2012. She gained postdoctoral research experience at the Laboratory of Macromolecular Chemistry, ENS Lyon, in 2007-2008 under the supervision of Professors Jean-Pierre Dutasta and Patrick Berthault (CEA Saclay) and at the Laboratory of Amino Acids, Peptides, and Proteins (LAPP), Faculty of Science, Montpellier, in 2005-2006 under Dr. Frédéric Lamaty and Prof. Jean Martinez.

In 2004-2005, she actively participated in research projects and national and international scientific events, earning postdoctoral funding from the Francophone University Agency (AUF). Her PhD research in Organic Chemistry was conducted from 2001 to 2004 at the Laboratory of Applied Chemistry in Meknès, which included a 24-month research internship at the LAPP Laboratory, Faculty of Science, Montpellier, from 2002 to 2004. Prior to her doctoral work, she focused on synthesis and molecular modeling at the Laboratory of Applied Chemistry, Meknès, in 2001-2002. Her academic journey began with a DESA dissertation on the “Synthesis of δ-Tetrazolic Homoglutamic Acids” under the supervision of Prof. Farhate Guenoun in 2000-2001.

Main Research Areas
  • Multi-step organic synthesis of linear and cyclic heterocyclic amino acids bearing tetrazole or triazole rings.
  • Solid-phase peptide synthesis.
  • Macrocyclic synthesis (PEG-cryptophane).
  • Teaching methodologies in physics and chemistry.
  • Theoretical study of structural properties of tetrazolic and triazolic nuclei using Ab Initio methods (GAUSSIAN).
  • Molecular modelling, QSAR structure-activity relationship studies, and QSPR property analysis.

Scientific Publications

  1. Synthesis, Molecular Docking, Dynamic Molecular Simulation, and In Silico ADMET Screening Study of Novel Bidentate Tetrazolyl-Adipate Anti-HIV Drug Candidates
    • Authors: Fatima Zohra Lenda, Mohammed Er‑rajy, Menana Elhallaoui, et al. (2025)
  2. QSAR, Molecular Docking, and Molecular Dynamics Simulation-Based Design of Novel Anti-Cancer Drugs Targeting Thioredoxin Reductase Enzyme
    • Authors: Mohammed Er‑rajy, Mohamed El Fadili, Somdutt Mujwar, Fatima Zohra Lenda, Sara Zarougui, Menana Elhallaoui. Structural Chemistry, December 2022
  3. Impact of Teaching Practices on Secondary School Students’ Motivation in Physics in Morocco
    • Authors: Taoufik Mohamed, Moufti Ahmed, Fatima Zohra Lenda, Barka Noureddine, Elmoubarki Rachid, Wazady Youssef. American Journal of Innovative Research and Applied Sciences, 2017; 5(2): 95-107
  4. Synthesis of C5-Tetrazole Derivatives of 2-Amino-Adipic Acid Displaying NMDA Glutamate Receptor Antagonism
    • Authors: Fatima Zohra Lenda, Nadine Crouzin, Mélanie Cavalier, et al. Amino Acids, 2011, 40, 913-922.
  5. Cell Uptake of a Biosensor Detected by Hyperpolarised 129Xe NMR: The Transferrin Case
    • Authors: Céline Boutin, Antoine Stopin, Fatima Zohra Lenda, et a

Wei Jiang | Cognitive and neuropathology | Women Researcher Award

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 Dr. Wei Jiang | Cognitive and neuropathology | Women Researcher Award

Medical University of South Carolina , United States

Her academic focus includes microbiome, B cell/autoantibody interactions, and disease pathogenesis, with particular emphasis on HIV, addictive drugs, and systemic lupus erythematosus (SLE). She is involved in several clinical and translational research projects, including R01DA059854 (Jiang & Sheng), investigating the impacts of drug abuse on autoantibodies and immune reconstitution in HIV. She also works on CSRD Merit I01 CX002422, exploring B cell-mediated immunological failure in HIV-infected individuals on antiretroviral therapy. Additionally, she contributes to NIDA-funded studies, such as R01DA055523, examining the oral microbiome’s effect on cognition in HIV-infected cannabis users, and R01DA059538, investigating HIV persistence in cocaine users. Furthermore, she collaborates on a Translational Science Award project exploring the oral microbiome’s impact on cognition in Alzheimer’s disease.

 

 

Profile

Education:

She earned her M.S. in Epidemiology and Biostatistics from Case Western Reserve University, Medical School, Cleveland, USA, in 2012. Prior to that, she completed a Postdoctoral fellowship at Case Western Reserve University, Medical School, Cleveland, USA, in 2008. She holds an M.S. in Immunology from Capital Medical University, Beijing, China, which she completed in 2001. She also received her M.D. in Internal Medicine from Capital Medical University, Beijing, China, in 1997.

BRIEF RESEARCH INTEREST STATEMENT:

She has 8 years of clinical experience in infectious diseases and 22 years of translational research experience in disease immunopathogenesis. As a corresponding author, she has published 52 peer-reviewed articles on microbiome and disease immunopathogenesis in high-profile journals like Microbiome, Arthritis & Rheumatology, J Autoimmunity, and EbioMedicine, bringing her total number of peer-reviewed publications to 101. As a physician-scientist, she has served as Principal Investigator on five R01 grants from NIAID or NIDA, along with a VA clinical merit grant, focusing on microbiomes, drug abuse, autoimmunity, and HIV immunopathogenesis. Her research primarily focuses on two major areas. The first is understanding the role of B cell perturbation and autoantibodies in disease pathogenesis, particularly in HIV and SLE. In 2017, her team first determined that autoimmunity impacts antiretroviral therapy outcomes in HIV without inducing autoimmune disease. This concept was later corroborated in studies on COVID-19. Her team is currently developing monoclonal autoantibodies and inhibitors to prevent anti-CD4 autoantibody binding, aiming to improve CD4+ T cell recovery and reduce morbidity in HIV patients. The second area of focus is the role of microbiomes in disease pathogenesis, including HIV, SLE, and drug abuse. She has identified the impact of disease-associated pathobionts on immune perturbations and disease progression, with findings validated in animal models. Her microbiome research is supported by R01DA055523.

TRAINING, PROFESSIONAL APPOINTMENTS

She currently serves on the Appointment, Promotion & Tenure (APT) committee in the Department of Microbiology and Immunology at the Medical University of South Carolina, a position she has held since 2024. She was promoted to Full Professor with tenure in the Department of Microbiology and Immunology, Division of Infectious Diseases, Department of Medicine at the same institution in 2023. She has been a Faculty Senator for the College of Medicine and a Research Health Scientist at the Ralph H. Johnson VA Medical Center since 2022. Additionally, she is a member of the Translational Science Laboratory IAC (2020-2022) and the MUSC College’s Curriculum Committee (2019-Present). She has held various positions at MUSC, including Associate Professor (2018-2022) and Assistant Professor (2012-2018) in the Department of Microbiology and Immunology. Since 2018, she has been a member of the Hollings Cancer Center at MUSC and has served on the award committee for the Advancement, Recruitment, and Retention of Women in Science. Her academic career began as an Instructor (2008-2012) and Research Associate (2002-2008) at Case Western Reserve University School of Medicine in Cleveland, OH.

AWARDS

She received her Chinese Board of Internal Medicine certification in Infectious Diseases in July 1997 and was certified as an Attending Medical Doctor in Infectious Diseases in November 1999 (No: 10203C089758). In July 1997, she also earned a Teacher Qualification from the Educational Institute, National Educational Committee in China (No: 971100071069382). Her licensure is from Beijing, China.

She has received several awards throughout her career, including the Laboratory Travel Grant from the American Association of Immunologists (AAI) in 2019, the MUSC High Impact Research Publication Award in 2019, and multiple travel grants from AAI for various international immunology congresses. She was awarded the Early Career Faculty Travel Grant by AAI and ECI in 2018 and 2017, and received the Travel Award and HIV Section Chair recognition at the 2016 International Congress of Immunology. In 2015, she was honored with the MUSC Foundation Developing Scholar Award and an Early Career Faculty Travel Grant from AAI. Her earlier achievements include multiple Young Investigator Awards from the 13th and 15th Conferences on Retroviruses and Opportunistic Infections (2006, 2008) and the Keystone Meeting on HIV Pathogenesis (2006, 2008). Additionally, she was recognized as an Outstanding Student Leader for five consecutive years during her medical school years from 1986 to 1991.

OTHER EXPERIENCE AND PROFESSIONAL MEMBERSHIPS

She has held several key professional roles and memberships throughout her career. Since 2024, she has been serving as a mentor for the American Society for Microbiology (ASM) Future Leaders Mentorship Fellowship (FLMF) Program. She is a member of the Society on NeuroImmune Pharmacology 2024 committee and has been a Treasurer Elect for the Association of Chinese Virologists in America from 2022 to 2024. She has been a member of the American Society for Microbiology (ASM) since 2021 and the Infectious Diseases Society of America (IDSA) since 2020. She has also been serving on the Editorial Board of the Journal of Neuroimmune Pharmacology since 2019 and is a member of the Society on NeuroImmune Pharmacology. Additionally, she has been part of the Society of Chinese Bioscientists in America (SCBA) and the American College of Rheumatology since 2018. She has contributed as an award committee member for the Advancement, Recruitment, and Retention of Women in Science at the Medical University of South Carolina since 2017 and is an associate member of the Hollings Cancer Center at MUSC.

She is also an active member of the MUSC Oral Health Center, College of Dental Medicine, and the Medical University of South Carolina College of Graduate Studies. Her previous memberships include being part of the American Association of Immunologists from 2011 to 2021, the Center for AIDS Research from 2008 to 2012, and the AIDS Clinic Trial Group since 2008. Her certification in Chinese Board of Internal Medicine in Infectious Diseases dates back to 1997, along with her teacher qualification from the Educational Institute, National Educational Committee, China.

CURRENT RESEARCH PROJECTS

She is currently leading several impactful research projects. As the Principal Investigator (PI) on R01DA059854 (9/30/2024-5/31/2029), funded by NIDA with a total of $3,924,302, she is studying the impacts of drug abuse-mediated inflammatory perturbations on affinity maturation of anti-CD4 autoantibodies and poor immune reconstitution from ART in HIV. This project aims to understand the role of cocaine in autoimmunity and immune recovery in HIV patients. Her role in this project is as PI (25% effort).

She is also a multiPI on R01DA059538 (9/30/2023-7/31/2028), with a total of $1,724,585 from NIDA, investigating host gene isoforms contributing to HIV persistence in cocaine users. The study focuses on identifying gene isoforms associated with HIV infection in elite controllers and its implications for cocaine users. Her role is PI (25% effort).

In addition, she is the PI on I01CX002422 (3/1/2022-2/28/2026), funded by the VA Medical Center CSRD Merit with a total of $1,195,899. This project examines the mechanism of autoreactive B cell-mediated immunological failure in HIV-infected individuals on antiretroviral therapy despite virologic suppression. She is focused on understanding the molecular mechanisms of anti-CD4 IgG-producing B cells and the pathologic effects of anti-CD4 autoantibodies. Her role is PI with 62.5% effort.

Additionally, she is involved as multiPI on R01DA055523 (9/30/2022-7/31/2027), with a total funding of $1,731,992, where she is working alongside Fitting to investigate the effects of microbiome-related mechanisms on H

 Publication

Reyhan Eskiyurt | social anxiety | Cognitive Bias Awareness

Published on by Cognitive Scientist Awards

Assist. Prof. Dr. Reyhan Eskiyurt | social anxiety | Cognitive Bias Awareness

Ankara Yildirim Beyazit University, Turkey

She graduated from Gazi University, Faculty of Health Sciences, Department of Nursing in 2010. She worked at Hacettepe University Hospital’s Psychiatry Clinic from 2010 to 2015. Since 2015, she has been working at Ankara Yıldırım Beyazıt University, Faculty of Health Sciences, Department of Psychiatric Nursing. She completed her PhD in 2020. Between 2014 and 2021, she received Cognitive and Behavioral Psychotherapy training organized by the Association of Cognitive Behavioral Psychotherapies and was certified as a Cognitive Therapist by the Academy of Cognitive Therapy in 2020. She continues her work in this field.

Profile

Education:

She completed her Doctorate at Ankara Yıldırım Beyazıt University, Turkey, from 2016 to 2020. Prior to that, she pursued postgraduate studies at the same university’s Faculty of Health Sciences in Nursing from 2015 to 2016, as well as at Ankara University, Turkey, from 2014 to 2015. She earned her undergraduate degree from Gazi University, Turkey, between 2006 and 2010. She is proficient in English at a B1 intermediate level. In 2020, she completed vocational training in Cognitive Behavioral Psychotherapy, organized by the Academy of Cognitive Therapy.

 

Professional Experience:

She graduated from Gazi University, Faculty of Health Sciences, Department of Nursing in 2010. Between 2010 and 2015, she worked at Hacettepe University Hospitals Psychiatry Clinic. Since 2015, she has been working at Ankara Yıldırım Beyazıt University, Faculty of Health Sciences, Department of Psychiatric Nursing. She completed her PhD in 2020. From 2014 to 2021, she received Cognitive and Behavioral Psychotherapy training organized by the Association of Cognitive Behavioral Psychotherapies and was certified as a Cognitive Therapist by the Academy of Cognitive Therapy in 2020. She continues her work in this field.

ResearchAreas

Health Sciences

Published journal articles indexed by SCI, SSCI, and AHCI

I. Exploring the impact of col aborative learning on the development of critical thinking and clinical
decision-making skil s in nursing students: A quantitative descriptive design
ESKİYURTR.,ÖZKANB.
Heliyon,vol.10,no.17,2024 (SCI-Expanded)
I . The investigation of the relationship between probability of suicide and reasons for living in
psychiatric inpatients.
EskiyurtR.,OzkanB.
Indianjournalofpsychiatry,vol.59,pp.435-441,2017 (SCI-Expanded)

Articles Published in Other Journals

I. Analysis of The Relationship Between Alexithymia, Depression, Anxiety and Empathy Skil s of
Nursing Senior Students
EskiyurtR.,AtkanF.,ÖzkanB.
GümüşhaneÜniversitesiSağlıkBilimleriDergisi,vol.13,no.4,pp.1680-1689,2024 (Peer-Reviewed Journal)
I . Therapeutic efficacy of video feedback in cognitive-behavioral psychotherapy of social anxiety
disorder
EskiyurtR.,CoşkunN.,ÖğütlüH.,TürkçaparM.H.
JCognBehavPsychotherRes,vol.12,no.1,pp.1-9,2023 (Peer-Reviewed Journal)
I I. AWARENESS and ATTITUDES of the UNDERGRADUATE STUDENTS in the FIELD of HEALTH RELATED
to the TESTABILITY of INFORMATION on SOCIAL MEDIA: THE CASE of ANKARA YILDIRIMBEYAZIT
UNIVERSITY
AlacaE.,EskiyurtR.
ArşivDünyası,vol.9,no.1,pp.41-60,2022 (Peer-Reviewed Journal)
IV. Determination of Social Anxiety Levels of Distance Education University Students.
EskiyurtR.,AlacaE.
CURRENTAPPROACHES INPSYCHIATRY,vol.13,pp.257-269,2021 (Peer-Reviewed Journal)
V. Determination of the problems experienced by patients with chronic diseases and their caregivers
during home care process fromnursing students’ perspectives: A phenomenological study
CeylanE.,EskiyurtR.,KoçA.
EurasianJournalof FamilyMedicine,vol.10,no.3,pp.141-150,2021 (Scopus)
VI. The Investigation of The Relationship Between Reasons for Living and Suicidal Behavior in
Psychiatric Inpatients: A Systematic Review
EskiyurtR.,ÖzkanB.
JOURNALOF EDUCATION&RESEARCHINNURSING,vol.17,no.1,pp.73-82,2020 (Peer-Reviewed Journal)
VI . Evaluation of the Effectiveness ofWeb-based Intervention for Patients with Breast Cancer
OzkanB.,EskiyurtR.,OztasD.

 

Natalia Baran | Cancer Research | Best Researcher Award

Published on by Cognitive Scientist Awards

Assist. Prof. Dr. Natalia Baran | Cancer Research | Best Researcher Award

Leading Attending at InselSpital Bern, Switzerland.

Dr. Natalia Baran is an Assistant Professor in the Department of Leukemia at MD Anderson Cancer Center, where she focuses on developing novel therapeutic strategies targeting metabolic vulnerabilities in leukemia. Her expertise lies in understanding how metabolic reprogramming can lead to drug resistance and contribute to leukemia progression. With a medical background and extensive experience in both clinical and research settings, Dr. Baran has been at the forefront of studies that aim to modulate metabolic pathways to enhance anti-leukemic responses. By combining insights from molecular biology, immunology, and clinical practice, she is actively working toward discovering innovative treatments for leukemia. Dr. Baran’s research holds great promise in advancing leukemia therapy, particularly by targeting metabolic reprogramming in the context of therapy resistance. Her multidisciplinary approach, integrating clinical data with laboratory research, makes her a key figure in leukemia research.

Profile

Scopus

Google Scholar

Orcid

Education:

Dr. Natalia Baran completed her undergraduate studies in Biotechnology, earning a Master of Science degree in 2006 from Wroclaw University of Science and Technology in Poland. She further pursued medical education and obtained her Medical Doctor (MD) degree from Wroclaw Medical University in 2007. Driven by her passion for research, Dr. Baran earned a Ph.D. in Medicine from the University of Bonn in 2015. Her doctoral research laid the foundation for her current focus on leukemia and metabolic reprogramming. In addition, Dr. Baran underwent extensive postdoctoral training at MD Anderson Cancer Center, where she honed her expertise in hematology and oncology, contributing significantly to translational research in leukemia. Her diverse educational background, blending science and medicine, has shaped her comprehensive approach to cancer research.

Professional Experience:

Dr. Baran has a rich professional experience that bridges clinical practice and cutting-edge research. After completing her MD, she pursued clinical residencies in Internal Medicine, Hematology, and Oncology at prestigious German institutions, including the University of Heidelberg and the University of Bonn. This clinical experience laid the groundwork for her subsequent focus on leukemia research. In 2016, she joined MD Anderson Cancer Center as a Postdoctoral Fellow in the Department of Leukemia. During her postdoctoral tenure, Dr. Baran worked closely with Dr. Marina Konopleva, exploring the role of metabolic pathways in leukemia resistance. By 2022, she had transitioned to an Assistant Professor role, continuing her translational research in leukemia, with a particular emphasis on identifying novel therapeutic strategies. Her clinical and research experiences synergize to enhance her contributions to the leukemia research community.

Research Interests:

Dr. Baran’s research is primarily centered on exploring metabolic vulnerabilities and their role in acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL). Her work seeks to understand the mechanisms through which metabolic reprogramming in leukemia cells contributes to drug resistance and tumor progression. Dr. Baran is particularly interested in how modulating the metabolic environment can enhance the effectiveness of leukemia therapies. By focusing on the interplay between metabolism and leukemic cell survival, she aims to identify new therapeutic strategies that target metabolic pathways to overcome resistance to traditional treatments. Her research also explores how immune modulation can be integrated with metabolic interventions to develop more efficient leukemia therapies.

Awards and Honors:

Dr. Baran has received recognition for her contributions to leukemia research, although specific awards are not detailed in available sources. However, her research has been featured prominently in major scientific forums, including the Annual Metabolism in Cancer Symposium organized by MD Anderson. Her work has earned her respect within the scientific community, as evidenced by her continued role as an Assistant Professor and her involvement in prestigious cancer research initiatives. Dr. Baran’s impact is evident in her ongoing efforts to bridge the gap between basic science and clinical application, aiming to revolutionize leukemia treatment.

Skills:

Dr. Baran’s research skills encompass a wide range of techniques in molecular biology, cell culture, and metabolic analysis. She is highly proficient in studying the metabolic pathways that drive leukemia, using state-of-the-art technologies such as high-resolution metabolic flux analysis, RNA sequencing, and advanced cell imaging. Dr. Baran is skilled at integrating basic science with clinical data, ensuring that her research translates into practical therapeutic interventions. Her expertise in immunology further complements her research in leukemia, allowing her to investigate the potential of combining metabolic therapies with immune modulation to improve patient outcomes. Her interdisciplinary approach is a key strength in her ongoing work in leukemia research.

Publication Top Notes

A Selective BCL-XL PROTAC Degrader Achieves Safe and Potent Antitumor Activity

  • Authors: S Khan, X Zhang, D Lv, Q Zhang, Y He, P Zhang, X Liu, D Thummuri, et al.
  • Journal: Nature Medicine
  • Volume: 25(12), Pages 1938–1947
  • Cited by: 515
  • Year: 2019

Targeting a Cytokine Checkpoint Enhances the Fitness of Armored Cord Blood CAR-NK Cells

  • Authors: M Daher, R Basar, E Gokdemir, N Baran, N Uprety, AK Nunez Cortes, et al.
  • Journal: Blood, The Journal of the American Society of Hematology
  • Volume: 137(5), Pages 624–636
  • Cited by: 226
  • Year: 2021

Inhibiting Glutaminase in Acute Myeloid Leukemia: Metabolic Dependency of Selected AML Subtypes

  • Authors: P Matre, J Velez, R Jacamo, Y Qi, X Su, T Cai, SM Chan, A Lodi, et al.
  • Journal: Oncotarget
  • Volume: 7(48), Pages 79722
  • Cited by: 194
  • Year: 2016

Complex I Inhibitor of Oxidative Phosphorylation in Advanced Solid Tumors and Acute Myeloid Leukemia: Phase I Trials

  • Authors: TA Yap, N Daver, M Mahendra, J Zhang, C Kamiya-Matsuoka, et al.
  • Journal: Nature Medicine
  • Volume: 29(1), Pages 115–126
  • Cited by: 182
  • Year: 2023

Molecular Pathways: Hypoxia-Activated Prodrugs in Cancer Therapy

  • Authors: N Baran, M Konopleva
  • Journal: Clinical Cancer Research
  • Volume: 23(10), Pages 2382–2390
  • Cited by: 126
  • Year: 2017

Combining AFM13, a Bispecific CD30/CD16 Antibody, with Cytokine-Activated Blood and Cord Blood–Derived NK Cells Facilitates CAR-Like Responses Against CD30+ Malignancies

  • Authors: LN Kerbauy, ND Marin, M Kaplan, PP Banerjee, MM Berrien-Elliott, et al.
  • Journal: Clinical Cancer Research
  • Volume: 27(13), Pages 3744–3756
  • Cited by: 117
  • Year: 2021

Clonal Selection and Therapy Resistance in Acute Leukemias: Mathematical Modelling Explains Different Proliferation Patterns at Diagnosis and Relapse

  • Authors: T Stiehl, N Baran, AD Ho, A Marciniak-Czochra
  • Journal: Journal of The Royal Society Interface
  • Volume: 11(94), Article ID 20140079
  • Cited by: 106
  • Year: 2014

Activation of RAS/MAPK Pathway Confers MCL-1 Mediated Acquired Resistance to BCL-2 Inhibitor Venetoclax in Acute Myeloid Leukemia

  • Authors: Q Zhang, B Riley-Gillis, L Han, Y Jia, A Lodi, H Zhang, S Ganesan, R Pan, et al.
  • Journal: Signal Transduction and Targeted Therapy
  • Volume: 7(1), Article ID 51
  • Cited by: 104
  • Year: 2022

Conclusion:

Dr. Natalia Baran is a prominent researcher whose work in leukemia has the potential to transform therapeutic approaches, especially through targeting metabolic pathways. Her strong academic background, combined with extensive clinical and research experience, enables her to address one of the most pressing challenges in leukemia treatment: drug resistance. By focusing on metabolic reprogramming, Dr. Baran is paving the way for innovative strategies to combat leukemia and improve patient outcomes. Her expertise in integrating basic research with clinical applications ensures that her contributions will have a lasting impact on the field of oncology, particularly in the development of new, more effective therapies for leukemia.

Fatma Caglayan | Oral Pathology | Best Researcher Award

Published on by Cognitive Scientist Awards

Prof. Fatma Caglayan | Oral Pathology | Best Researcher Award

Prof. Dr. at Atatürk University, Faculty of Dentistry, Department of Oral and Maxillofacial Radiology, Turkey.

Prof. Dr. Fatma ÇAĞLAYAN is a distinguished academician and researcher in the field of oral and maxillofacial radiology. With a career spanning over two decades, she has made significant strides in academia, research, and clinical practice. After obtaining her undergraduate degree in dentistry from Atatürk University in 2000, she pursued her Ph.D. in Oral Diagnosis and Radiology, completing it in 2008. Her career trajectory includes promotions to associate professor in 2013 and professor in 2018, reflecting her dedication and expertise. She has published 36 international articles indexed in WOS, 73 articles in SCOPUS, and authored three national books and ten book chapters. Her pioneering work in introducing maxillofacial ultrasound to her country demonstrates her innovative approach to research. A highly regarded educator, she contributes extensively to undergraduate and graduate education while maintaining active involvement in diagnostic healthcare.

Professional Profile

Scopus

Orcid

Education:

Prof. Dr. Fatma ÇAĞLAYAN completed her undergraduate degree in dentistry from Atatürk University Faculty of Dentistry in 2000. She pursued her doctoral studies in Oral Diagnosis and Radiology, obtaining her Ph.D. in 2008. Her academic journey exemplifies a commitment to advancing oral and maxillofacial radiology through rigorous education and research. Her academic progression to associate professor in 2013 and professor in 2018 underscores her outstanding achievements in the field.

Professional Experience:

Prof. Dr. Fatma ÇAĞLAYAN has had an illustrious professional career dedicated to advancing oral and maxillofacial radiology. After earning her Ph.D., she became an associate professor in 2013 and achieved full professorship in 2018. Currently, she serves at the Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Atatürk University, where she excels in teaching and research. She has mentored numerous postgraduate students, guiding seven theses on maxillofacial ultrasound. As an educator, she teaches undergraduate and graduate courses, while her clinical expertise significantly contributes to diagnostic services for patients. Her editorial roles in scientific journals highlight her leadership and commitment to advancing the discipline.

Research Interests:

Prof. Dr. Fatma ÇAĞLAYAN’s research interests focus on oral diseases, oral medicine, temporomandibular joint (TMJ) disorders, cone-beam computed tomography (CBCT), and maxillofacial ultrasound. She has pioneered the application of maxillofacial ultrasound in dental radiology within her country, driving innovation in diagnostics. Her work aims to enhance diagnostic accuracy and improve patient outcomes through advanced imaging techniques and multidisciplinary approaches.

Awards and Honors:

Prof. Dr. Fatma ÇAĞLAYAN has received significant recognition for her contributions to oral and maxillofacial radiology. Her promotion to professor in 2018 is a testament to her academic and research excellence. As a pioneer of maxillofacial ultrasound in her country, she has been instrumental in advancing diagnostic capabilities. Her editorial appointments and membership in the Turkish Society of Oral Diagnosis and Radiology highlight her professional esteem and influence.

Skills:

With extensive experience in oral and maxillofacial radiology, Prof. Dr. Fatma ÇAĞLAYAN demonstrates exceptional research skills. She excels in imaging modalities such as CBCT and ultrasound, along with expertise in diagnosing and managing complex oral and maxillofacial conditions. Her ability to publish impactful research in high-index journals reflects her analytical skills, academic rigor, and dedication to advancing the field. Her capacity to mentor postgraduate students and lead research projects underscores her proficiency in both independent and collaborative research environments.

Conclusion:

Prof. Dr. Fatma ÇAĞLAYAN’s career is a testament to her dedication, innovation, and excellence in oral and maxillofacial radiology. Her pioneering work in maxillofacial ultrasound, impactful publications, and commitment to education have positioned her as a leader in the field. By expanding her collaborations and exploring translational research opportunities, she has the potential to further elevate her contributions to global dentistry and healthcare.

Publication Top Notes

A Cross-Sectional Study of Tongue Disorders Among Dental Outpatients

  • Authors: Çağlayan, F., Demir, S., Tosun, Z.T., Laloğlu, A.
  • Journal: Journal of Stomatology, Oral and Maxillofacial Surgery
  • Volume: 126(4)
  • Article ID: 102118
  • Citations: 0
  • Publication Year: 2025

Cone Beam CT Sialography for the Assessment of Submandibular Gland Structure in Diabetes Mellitus

  • Authors: Sümbüllü, M.A., Başaran Aslan, K., Çağlayan, F.
  • Journal: Oral Diseases
  • Status: Article in Press
  • Citations: 0
  • Publication Year: 2025

Ultrasonography for Diagnosis of Technical Implant Errors: A Pilot Study in Sheep Model | Teknik İmplant Hatalarının Tanısında Ultrasonografi: Koyun Modelinde Pilot Çalışma

  • Authors: Özkan Karasu, Y., Çağlayan, F., Güller, H., Onat, F.Ç.
  • Journal: Current Research in Dental Sciences
  • Volume: 34(4), Pages 297–301
  • Citations: 0
  • Publication Year: 2024

The Frequency of Occipital Spurs in Relation to the Cephalic Index: An Anatomorphometric Cone Beam CT Study

  • Authors: Çağlayan, F., Güller, H., Öncü, E., Kuzey, N., Dalcı, H.L.T.
  • Journal: Nigerian Journal of Clinical Practice
  • Volume: 27(5), Pages 647–653
  • Citations: 0
  • Publication Year: 2024

Evaluation of the Efficacy of Pharmacological Treatment in Patients with Temporomandibular Joint Dysfunctions Using Ultrasonography

  1. Authors: Akkaya, G., Dağıstan, S., Çağlayan, F.
  2. Journal: Journal of Prosthetic Dentistry
  3. Status: Article in Press
  4. Citations: 0

Publication Year: 2024

Do Defensive Sports Cause Temporomandibular Disorder? | Savunma Sporları Temporomandibular Bozukluğa Sebep Olur Mu?

  • Authors: Aslan, K.B., Çağlayan, F., Aslan, B.E.
  • Journal: Nobel Medicus
  • Volume: 19(3), Pages 180–186
  • Citations: 0
  • Publication Year: 2023

Evaluation of Submandibular Gland and Submandibular Fossa: A Combined Cone Beam Computed Tomography and Ultrasound Study

  • Authors: Görgün, E.A., Çağlayan, F.
  • Journal: European Oral Research
  • Volume: 57(3), Pages 128–132
  • Citations: 1
  • Publication Year: 2023

Evaluation of Ultrasonographic Findings of Salivary Glands in Healthy Population | Sağlıklı Popülasyonda Tükürük Bezlerinin Ultrasonografik Bulgularının Değerlendirilmesi

  • Authors: Görgün, E.A., Çağlayan, F.
  • Journal: Nobel Medicus
  • Volume: 19(1), Pages 37–45
  • Citations: 0
  • Publication Year: 2023

Sonographic Features of Various Dental Materials and Foreign Bodies

  • Authors: Caglayan, F., Ilbas, F.N.Y.
  • Journal: Dentomaxillofacial Radiology
  • Volume: 51(2), Article ID 20210182
  • Citations: 1
  • Publication Year: 2022

Examination of Oral Hemangiomas by Intraoral Ultrasonography

  • Authors: Derindağ, G., Sarıca, İ., Çağlayan, F.
  • Journal: Oral Radiology
  • Volume: 37(4), Pages 687–692
  • Citations: 1
  • Publication Year: 2021

AbrahamBelete Temesgen|Veterinary Pathology | Excellence in Research

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Mr.AbrahamBelete Temesgen|Veterinary Pathology | Excellence in Research

Lecturer at University of Gondar, Ethiopia.

Mr. Abraham Belete Temesgen is a Lecturer in Veterinary Pathology at the University of Gondar, Ethiopia. With a passion for advancing the field of veterinary science, he has made significant contributions to research in veterinary pathology, focusing on disease mechanisms, diagnostics, and treatments in animals. His work aims to improve animal health and welfare, with a particular emphasis on disease prevention and control. Mr. Temesgen’s excellence in research is recognized for its practical implications in both local and global veterinary medicine.

Professional Profile

Education:

Mr. Abraham Belete Temesgen holds a Master of Science (MSc) degree in Veterinary Pathology from the University of Gondar College of Veterinary Medicine and Animal Sciences, which he completed in 2023. He also earned a Bachelor of Science (BSc) degree in Veterinary Laboratory Technology from Addis Ababa University College of Veterinary Medicine and Agriculture, Bishoftu, Ethiopia, in 2018.

Professional Experience:

Mr. Temesgen currently serves as a Lecturer in the Department of Pathobiology at the University of Gondar College of Veterinary Medicine and Animal Sciences, where he has been contributing to academic and research development since 2023. Prior to this role, he worked for five years as a Chief Technical Assistant at the University of Gondar, gaining valuable experience in research and technical support within veterinary sciences.

 

Research Interests:

Mr. Temesgen’s research interests are primarily centered around veterinary pathology, specifically disease mechanisms, diagnostics, and treatments in animals. His work aims to improve animal health and welfare by addressing challenges related to disease prevention, detection, and management. He is especially interested in the intersection of veterinary science and innovative medical approaches that could significantly enhance outcomes in animal health.

Awards and Honors:

Mr. Temesgen has been recognized for his exceptional research and academic contributions by the University of Gondar College of Veterinary Medicine and Animal Sciences. He has also published numerous works in peer-reviewed journals and books, which contribute to the broader field of veterinary science.

Skills:

Mr. Temesgen possesses strong academic and research skills, integrating creativity and empirical data to create effective veterinary solutions. He has extensive expertise in veterinary pathology, laboratory technology, and animal disease diagnostics. Furthermore, he is proficient in scientific writing, having published articles in reputable journals and books. His communication and teaching skills are highly regarded, and he is deeply committed to fostering student development and providing research mentorship. Passionate about continuous learning and the discovery of new ideas, Mr. Temesgen remains actively engaged in academic exploration.

 

Conclusion:

In conclusion, Mr. Temesgen is highly deserving of the Research for Excellence in Research award due to his contributions to veterinary pathology, his research excellence, and his commitment to academic advancement. With continued focus on interdisciplinary collaboration and engagement in applied research, his work will likely continue to elevate the field and make valuable contributions to global veterinary science.

Publication Top Notes

  1. Hematobiochemical Alterations and Lesion Characterization Caused by Fasciolosis in Cattle Slaughtered at Gondar ELFORA Abattoir, Ethiopia
    • Authors: AB Temesgen, T Mitiku, M Birhan, MC Kebede, M Yesuf, M Yayeh, …
    • Publication: bioRxiv
    • Year: 2024
    • DOI: 10.607441
  2. Haematobiochemical Alterations and Lesion Characterization Induced by Haemonchosis in Slaughtered Sheep at Gondar ELFORA Abattoir, Ethiopia
    • Authors: BA Malede, MC Kebede, AM Berihun, MY Mekonnen, M Yesuf, T Mitiku, …
    • Publication: BMC Veterinary Research
    • Volume: 21
    • Issue: 1
    • Page: 22
    • Year: 2025
  3. Study on Pathological and Hematobiochemical Profile of Liver Abscesses in Cattle Slaughtered at Gondar Elfora Abattoir, Ethiopia
    • Authors: YH Mengstu, MY Mekonnen, M Yesuf, HM Yimam, MA Getnet, SM Asefa, …
    • Year: 2024
  4. Prevalence and Associated Risk Factors Assessment of Bovine Fasciolosis in and Around Bahir Dar, Ethiopia
    • Authors: AB Temesgen, T Mesfin
    • Publication: bioRxiv
    • Year: 2024
    • DOI: 07.606800
  5. Prevalence of GIT Nematodes and Associated Risk Factors of Exotic Chickens in Selected Farms of Poultry in and Around Ambo, Ethiopia
    • Authors: AB Temesgen, ZG Wassie, S Abebe
    • Publication: bioRxiv
    • Year: 2024
    • DOI: 02.601802
  6. African Journal of Pharmaceutical Sciences
    • Authors: ZG Wassie, AB Temesgen, AM Geda
    • Year: 2024

Miao Li | Dexterous Hand | Best Researcher Award

Published on by Cognitive Scientist Awards

Assoc. Prof. Dr. Miao Li | Dexterous Hand | Best Researcher Award

Associate professor at Wuhan University, China

Miao Li is a distinguished robotics researcher with notable contributions to fields such as robotic grasping, robot learning, tactile sensing, and medical robots. His work has focused on improving the interaction between robots and their environment, particularly in sensitive domains like healthcare. Dr. Li’s extensive academic qualifications and ongoing research in robotics and medical technology demonstrate his commitment to advancing the field. As a Senior Member of IEEE, he is recognized for his scholarly work and leadership within the academic and professional community. His multidisciplinary research merges mechanical engineering with cutting-edge technology, allowing him to address pressing real-world problems, such as improving medical robots’ tactile sensitivity or enhancing robotic learning mechanisms. Dr. Li’s research has influenced both theoretical and applied robotics, contributing to the development of smarter, more capable robotic systems with real-world applications in medicine and autonomous operations.

Professional Profile

Education:

Miao Li’s academic journey has been marked by excellence in engineering and robotics. He obtained his bachelor’s and master’s degrees from the School of Mechanical Science and Engineering at Huazhong University of Science and Technology in Wuhan, China, in 2008 and 2011, respectively. His strong foundation in mechanical engineering propelled him to further his studies at Ecole Polytechnique Federale de Lausanne (EPFL) in Switzerland, where he completed his Ph.D. in 2016. At EPFL, Dr. Li honed his research skills, focusing on areas related to robotics, particularly robotic manipulation and medical applications. His educational background from prestigious institutions equipped him with both theoretical knowledge and practical insights, enabling him to contribute meaningfully to the field of robotics. Through his academic pursuits, Dr. Li has demonstrated a passion for pushing the boundaries of robotic technology, which is evident in the quality and impact of his research.

Professional Experience:

Miao Li’s professional experience encompasses a wide array of research and academic roles, each contributing to his expertise in robotics. After completing his Ph.D., he pursued advanced research in robotic systems, focusing on the integration of tactile sensing and learning algorithms into robotic platforms. His academic and professional career has seen him work with leading research institutions, contributing significantly to the field of robotics through both his research projects and collaborations. As a Senior Member of IEEE, Dr. Li has gained recognition for his thought leadership in the robotics community, publishing extensively in peer-reviewed journals and conferences. Additionally, his work in medical robots has seen collaborations with medical institutions, where his research has led to advances in the tactile capabilities of surgical robots. These collaborations are a testament to his ability to bridge the gap between academic research and practical applications, particularly in the healthcare sector. Through his career, Dr. Li has gained a comprehensive understanding of robotic technologies, further strengthening his contributions to both industry and academia.

Research Interests:

Miao Li’s primary research interests lie at the intersection of robotics, artificial intelligence, and healthcare. He is particularly focused on robotic grasping and manipulation, key areas of research aimed at improving how robots interact with objects and environments. Another significant aspect of his research is robot learning, which aims to enhance the adaptability and efficiency of robots in various tasks. Tactile sensing is another crucial area of interest for Dr. Li, as it plays an integral role in the development of robots that can sense and react to touch, improving their performance in delicate operations, such as in medical robotics. Furthermore, Dr. Li’s research in medical robots seeks to enhance the precision and capabilities of robotic systems used in surgery and rehabilitation. His work combines mechanical engineering, AI, and medical science to create more intelligent and responsive robotic systems that can assist in complex tasks, particularly in healthcare settings. Dr. Li’s research continues to evolve as he explores new frontiers in robotics, with the ultimate goal of developing robots capable of performing intricate tasks with minimal human intervention.

Research Skills:

Miao Li possesses a wide array of research skills that span several fields of robotics and engineering. One of his core strengths lies in the development and optimization of robotic manipulation algorithms, which are essential for enhancing robots’ ability to grasp and manipulate objects with precision. In this area, Dr. Li has demonstrated expertise in tactile sensing technologies, which allow robots to “feel” and interact with their environment in a way that closely mimics human touch. Additionally, his work in robot learning involves the use of machine learning techniques to improve robots’ ability to learn from their environment and perform tasks autonomously. His expertise in sensor technologies, algorithm development, and machine learning is complemented by a strong foundation in mechanical engineering, providing him with the skills to design and build the physical systems required for his research. Moreover, Dr. Li is well-versed in using simulation software to model robotic systems and test their performance in virtual environments before deployment. His multidisciplinary skill set has enabled him to tackle complex problems in both theoretical and applied robotics, making his research highly impactful.

Awards and Honors:

Miao Li has received several accolades throughout his academic and professional career, marking his contributions to the fields of robotics and engineering. Notably, he is a Senior Member of IEEE, an honor given to professionals who have demonstrated significant achievements in their field and contributed to advancing the engineering profession. His research in robotic manipulation, tactile sensing, and medical robotics has been widely recognized in the academic community, with several publications in high-impact journals and conferences. Additionally, Dr. Li’s work has been acknowledged through various institutional awards, including research grants and fellowships that have enabled him to pursue groundbreaking research in robotics. His recognition within the IEEE community highlights the significant impact of his work on the field of robotics. Dr. Li’s commitment to advancing technology in both theoretical and practical domains has earned him respect among his peers, further cementing his reputation as a leading researcher in the robotics field.

Conclusion:

Miao Li’s contributions to robotics research make him a highly deserving candidate for the Best Researcher Award. His expertise in robotic grasping and manipulation, robot learning, tactile sensing, and medical robotics reflects the depth and impact of his work in the field. With a solid academic background, extensive professional experience, and an ongoing commitment to innovative research, Dr. Li continues to push the boundaries of robotics and artificial intelligence. His research has not only advanced the understanding of robotic systems but also opened doors for practical applications in industries such as healthcare. Despite some potential areas for growth, particularly in expanding his commercial collaborations, Miao Li’s work remains at the forefront of robotics research. His contributions are helping shape the future of autonomous and medical robots, ensuring that he remains a key figure in advancing the field. As his career progresses, Miao Li’s research will undoubtedly continue to make significant strides in robotic technology, driving both academic and real-world innovations.

Publication Top Notes

  1. Title: A robotized framework for real-time detection and in-situ repair of manufacturing defects in CFRP patch placement
    Authors: Gong, Y., Li, X., Zhou, R., Li, M., Liu, S.
    Journal: Robotics and Computer-Integrated Manufacturing
    Year: 2025
    Volume: 92
    Article ID: 102882
  2. Title: Learning automatic navigation control skills for miniature helical robots from human demonstrations
    Authors: Li, M., Deng, X., Zhao, F., Liu, S., Li, M.
    Journal: Engineering Applications of Artificial Intelligence
    Year: 2024
    Volume: 137
    Article ID: 109187
  3. Title: Path planning for dual-arm fiber patch placement with temperature loss constraints
    Authors: Li, X., Zhou, R., Wang, W., Gong, Y., Li, M.
    Journal: Engineering Applications of Artificial Intelligence
    Year: 2024
    Volume: 133
    Article ID: 108518
    Citations: 2
  4. Title: Bioinspired Bidirectional Stiffening Soft Actuators Enable Versatile and Robust Grasping
    Authors: Lin, J., Ke, J., Xiao, R., Xiao, X., Guo, Z.
    Journal: Soft Robotics
    Year: 2024
    Volume: 11(3)
    Pages: 494–507
    Citations: 2
  5. Title: A Review on Robotized Automated Lay-up Technology for Composite Material Manufacturing | 机器人化复合材料自动铺层技术综述
    Authors: Guo, P., Yang, C.-G., Li, X.-L., Zhang, Y., Li, M.
    Journal: Zidonghua Xuebao/Acta Automatica Sinica
    Year: 2024
    Volume: 50(5)
    Pages: 873–897
  6. Title: IHUVS: Infinite Homography-Based Uncalibrated Methodology for Robotic Visual Servoing
    Authors: Lei, X., Fu, Z., Spyrakos-Papastavridis, E., Li, M., Chen, X.
    Journal: IEEE Transactions on Industrial Electronics
    Year: 2024
    Volume: 71(4)
    Pages: 3822–3831
    Citations: 1
  7. Title: Design of a Double-joint Robotic Fish Using a Composite Linkage
    Authors: Zhang, R., Zhou, W., Li, M., Li, M.
    Journal: Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems
    Year: 2024
    Pages: 279–283
  8. Title: Freehand Interaction With Visual Control and Haptic Feedback in Electromagnetically Assisted Interventional Surgery
    Authors: Deng, X., Zhao, J., Yuan, Z., Du, B., Yang, Z.
    Journal: IEEE Internet of Things Journal
    Year: 2024
    Volume: 11(24)
    Pages: 40845–40860
  9. Title: Design and Fabrication of a Novel Miniature Magnetic Gripper
    Authors: Li, M., Zhao, F., Li, X., Liu, S., Li, M.
    Journal: Proceedings – IEEE International Conference on Robotics and Automation
    Year: 2024
    Pages: 1964–1970
  10. Title: Learning Freehand Ultrasound Through Multimodal Representation and Skill Adaptation
    Authors: Deng, X., Jiang, J., Cheng, W., Yang, C., Li, M.
    Journal: IEEE Transactions on Automation Science and Engineering
    Year: 2024
    Citations: 1

 

Sheng Liu | Computational Modeling | Best Researcher Award

Published on by Cognitive Scientist Awards

Prof. Dr. Sheng Liu | Computational Modeling | Best Researcher Award

Dean at Wuhan University, China.

Dr. Sheng Liu is a distinguished researcher and academician, widely recognized for his contributions to the fields of mechanical engineering, microelectromechanical systems (MEMS), and power electronics. With a remarkable academic background, including a Ph.D. from Stanford University, Dr. Liu has been instrumental in advancing technologies such as light-emitting diodes (LEDs) and integrated circuit packaging. His leadership roles, notably as the Dean of the School of Power and Mechanical Engineering at Wuhan University, have solidified his standing as a prominent figure in engineering education and research. Dr. Liu has authored over 500 technical articles, co-authored two books, and holds nearly 300 patents, reflecting his extensive impact on the industry. His election as an academician of the Chinese Academy of Sciences in 2023 and his recognition as an IEEE Fellow and ASME Fellow underscore his significant scholarly influence. As a mentor, Dr. Liu has guided numerous young researchers, furthering innovation in various engineering disciplines.

Professional Profile

Education:

Dr. Sheng Liu received his Bachelor of Science (B.S.) and Master of Science (M.S.) degrees in flight vehicle design from the Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 1983 and 1986, respectively. He then pursued a Ph.D. in mechanical engineering at Stanford University, USA, where he completed his doctoral studies in 1992. Dr. Liu’s academic foundation in flight vehicle design laid the groundwork for his later work in mechanical and aerospace engineering, and his graduate education at two prestigious institutions has provided him with the knowledge and skills necessary to become a leading researcher in his field. His studies at Stanford helped him gain a deep understanding of advanced mechanics, which he later applied to his research in microelectromechanical systems, power electronics, and other interdisciplinary areas.

Professional Experience:

Dr. Sheng Liu’s professional career spans multiple continents and prestigious institutions. From 1992 to 1995, he served as an Assistant Professor at the School of Mechanical and Aerospace Engineering at the Florida Institute of Technology, USA. In 1995, he joined Wayne State University, USA, as an Assistant Professor at the School of Mechanical Engineering and the Institute for Manufacturing Research, where he became a Tenured Associate Professor in 1998. Dr. Liu further expanded his academic career by joining Huazhong University of Science and Technology (HUST) in Wuhan, China, in 2006, where he became a Full Professor. At HUST, he served as the Director of the Institute of Microsystems and the Division of Micro-Opto-Electromechanical Systems, and also contributed to the Birdnest Program, a mentoring initiative for young faculty. Currently, Dr. Liu is the Dean of the School of Power and Mechanical Engineering at Wuhan University, where he continues to lead innovative research efforts while shaping the future of engineering education.

Research Interests:

Dr. Liu’s research interests encompass a wide range of advanced topics in mechanical and electrical engineering. His primary focus includes microelectromechanical systems (MEMS), light-emitting diodes (LEDs), integrated circuit packaging, and power electronics. Specifically, his work in MEMS has contributed to the development of novel devices with applications in sensors, actuators, and energy-efficient technologies. Dr. Liu has also made significant strides in power electronics, exploring efficient designs for high-performance electronic systems. Additionally, his expertise in LED technology has had far-reaching implications for energy-saving and sustainable lighting systems. Dr. Liu’s interdisciplinary research spans various engineering domains, blending mechanical design, electronics, and materials science to develop innovative solutions. His academic leadership also emphasizes the importance of mentoring young engineers and fostering collaboration between institutions to drive technological advancements.

Research Skills:

Dr. Liu’s research skills are vast and diverse, reflecting his expertise across multiple engineering disciplines. He is highly proficient in the areas of mechanical design, MEMS technology, integrated circuit packaging, and power electronics, with a deep understanding of the principles governing these fields. His ability to conceptualize and develop novel solutions has led to over 500 published technical articles and nearly 300 patents. Dr. Liu’s expertise in the design and fabrication of MEMS devices has enabled him to contribute to cutting-edge advancements in sensor technology and microelectronics. Furthermore, his research skills extend to advanced materials characterization, system-level integration, and the application of his work to real-world engineering challenges. His leadership in coordinating multidisciplinary research teams and mentoring young researchers has further enhanced his ability to drive innovation. Dr. Liu’s research proficiency is matched by his capacity to lead large-scale projects, collaborate with global experts, and disseminate his findings through publications and patents.

Awards and Honors:

Dr. Sheng Liu’s exceptional contributions to the field of mechanical engineering have earned him numerous prestigious awards and honors. In 2009, he was named a Fellow of the American Society of Mechanical Engineers (ASME), recognizing his distinguished work in the field. In 2014, Dr. Liu was elevated to the status of IEEE Fellow for his pioneering research in power electronics and microelectromechanical systems. Additionally, he received the Presidential Faculty Fellow Award in 1995, which acknowledged his potential for advancing scientific research and contributing to technological innovation. In 2006, he was awarded the ASME Young Engineer Award for his early career achievements and leadership in the field. More recently, in 2023, Dr. Liu was elected as an academician of the Chinese Academy of Sciences, one of the highest honors a researcher can receive in China. These accolades reflect the global recognition of his groundbreaking work and his leadership within the scientific community.

Conclusion:

Dr. Sheng Liu’s career is a testament to his outstanding contributions to mechanical engineering and his leadership in advancing innovative technologies. His research in microelectromechanical systems, light-emitting diodes, and power electronics has led to significant advancements in engineering, and his extensive body of work includes over 500 technical articles and numerous patents. Dr. Liu’s leadership roles at institutions such as Wuhan University and his involvement in mentoring young researchers further highlight his influence in shaping the future of engineering. His recognition as an academician of the Chinese Academy of Sciences, alongside prestigious fellowships from IEEE and ASME, underscores the global impact of his work. As a researcher, educator, and mentor, Dr. Liu has made invaluable contributions to both academia and industry, and his future endeavors promise to continue driving technological innovation and academic excellence.

Publication Top Notes

  1. Spontaneous bifacial capping of perovskite film for efficient and mechanically stable flexible solar cell
    • Authors: Jin, J., Zhu, Z., Ming, Y., Meng, H., Tai, Q.
    • Year: 2025
    • Journal: Nature Communications
  2. Online in situ detection of deposited height deviation during additive manufacturing
    • Authors: Feng, W., Mao, Z., Ma, H., Nie, J., Liu, Z.
    • Year: 2025
    • Journal: Optics and Laser Technology
  3. A robotized framework for real-time detection and in-situ repair of manufacturing defects in CFRP patch placement
    • Authors: Gong, Y., Li, X., Zhou, R., Li, M., Liu, S.
    • Year: 2025
    • Journal: Robotics and Computer-Integrated Manufacturing
  4. Effects of polycrystalline AlN layer on the crystalline quality of AlxGa1-xN buffer layer and optimization of growth processes: A molecular dynamics study
    • Authors: Song, Y., Li, R., Cheng, C., Liang, K., Liu, S.
    • Year: 2025
    • Journal: Materials Science in Semiconductor Processing
  5. Investigation of the deposition mechanism of Cu seed layer atoms on the Ta (001) surface from the atomic perspective
    • Authors: Zhao, B., Li, R., Huang, Y., Wang, S., Liu, S.
    • Year: 2025
    • Journal: Applied Surface Science
  6. Mechanical properties of copper-nickel functionally graded materials based on molecular dynamics simulations: Material distribution and temperature effects
    • Authors: Li, Y., Tang, F., Liu, W., Liu, S.
    • Year: 2025
    • Journal: Vacuum
  7. Process analysis of COC terahertz fiber fabrication by one-step extrusion
    • Authors: Yu, X., Wei, C., Liu, S., Lei, C., Wang, D.
    • Year: 2025
    • Journal: Optics and Laser Technology
  8. Origin of two-dimensional hole gas at the hydrogen-terminated diamond surfaces: Negative interface valence-induced upward band bending
    • Authors: Gui, Q., Yu, W., Cheng, C., Jiang, Z., Guo, Y.
    • Year: 2025
    • Journal: Journal of Materials Science and Technology
    • Citations: 1
  9. A laser direct-writing magnetic integration process: Low-temperature packaging of magnetic films on on-chip inductive components
    • Authors: Wang, L., Li, Y., Wu, B., Liu, F., Liu, S.
    • Year: 2025
    • Journal: Journal of Manufacturing Processes
  10. Structural design and electronic performance at MOx/diamond (M = Hf, Zr, Ti, Al, Sc, Y) interfaces for MOS device applications
  • Authors: Cheng, C., Li, R., Gui, Q., Zhang, Z., Liu, S.
  • Year: 2025
  • Journal: Applied Surface Science

 

 

Christopher Prashad | Predictive Modelling | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr. Christopher Prashad | Predictive Modelling | Best Researcher Award

PhD at York University, Canada

Christopher Prashad is a highly skilled and ambitious PhD candidate specializing in Data Science with a focus on public health. He has demonstrated proficiency in designing and executing advanced quantitative research, particularly in mathematical modeling, machine learning, and statistical analysis. Prashad excels in extracting actionable insights from complex datasets and has proven his ability to collaborate effectively across teams. His research and work in mathematical and statistical methods have contributed to multiple fields, including public health, finance, and education. He is committed to simplifying complex technical concepts, making them more accessible to non-experts. His academic journey reflects a deep passion for using data science to make a meaningful impact on decision-making and public policy, particularly in healthcare and epidemiology. With a solid foundation in statistics and programming, he is poised to continue contributing significantly to research and applications in these domains.

Professional Profile

Education

Christopher Prashad’s educational journey demonstrates a strong academic foundation, especially in mathematics, statistics, and data science. He is currently pursuing a PhD in Mathematics and Statistics at York University, with a focus on Data Science for Public Health, which he is expected to complete by June 2025. Prashad has also undertaken a MicroMasters program in Finance at the Massachusetts Institute of Technology (MIT) Sloan School of Management, set to finish in January 2025. Prior to this, he earned an MA in Mathematics and Statistics from York University, specializing in Theoretical and Applied Statistics, and a BSc in Mathematics and Chemistry from the University of Toronto. His academic achievements reflect his strong commitment to applying mathematical and statistical methods to a wide array of research fields, including public health, finance, and epidemiology.

Professional Experience

Prashad’s professional experience spans both academic and industry settings. As a Mathematics for Public Health Researcher at the Fields Centre for Quantitative Analysis and Modelling at York University, in collaboration with Sanofi Pasteur, he contributed significantly to mathematical modeling research, specifically in healthcare and epidemiology. He worked closely with pharmaceutical companies and regulatory organizations, providing evidence-based support for public health policy. His earlier experience as a Statistician at Western University’s Faculty of Education involved longitudinal studies examining the impact of STEM education workshops. As a Course Director at York University, Prashad created and delivered lectures and tutorials on research and statistical methods for health studies. His leadership and mentoring roles in graduate projects further highlight his capacity to manage complex research initiatives and foster collaborative environments.

Research Interests

Christopher Prashad’s research interests lie at the intersection of mathematics, statistics, and public health. His current focus is on utilizing advanced mathematical modeling and machine learning techniques to address challenges in epidemiology, public health policy, and healthcare analytics. He is particularly interested in the application of stochastic simulations, state-space models, and time-series analysis to infectious disease dynamics, including COVID-19 and influenza-like illnesses. Prashad also explores the role of machine learning in forecasting epidemic trends and the use of advanced statistical methods to inform public health decisions. In addition, his work involves optimizing statistical models for analyzing community mobility, insurance coverage, and investment products, showcasing a diverse range of applications of his quantitative research skills.

Research Skills

Christopher Prashad possesses a diverse set of research skills, with expertise in both theoretical and applied mathematics and statistics. He is proficient in advanced quantitative techniques such as stochastic simulation, probabilistic programming, and covariance estimation. His deep knowledge of machine learning, multivariate statistics, and optimization algorithms allows him to work with complex datasets and develop models for forecasting and decision-making. Prashad is highly skilled in programming and data analysis using tools like Python, R, MATLAB, and SQL, and he has hands-on experience with platforms like Bloomberg and Refinitiv. His ability to apply these methods to real-world problems in public health, finance, and education further exemplifies his versatility as a researcher.

Awards and Honors

Christopher Prashad has received several accolades for his academic and research contributions. In 2023, he placed third in the Canadian Statistical Sciences Institute’s (CANSSI) National Meme Competition, a testament to his creativity and engagement with the statistical community. He was also awarded the NSERC/Mitacs/Sanofi Alliance Award in 2022 for his applied research in vaccine mathematics, modeling, and manufacturing, which he conducted at the Laboratory for Industrial and Applied Mathematics (LIAM). In recognition of his academic excellence, he was granted the York Graduate Fellowship in 2022. Prashad’s success in his doctoral research is also reflected in his outstanding performance in comprehensive exams in Mathematics & Statistics, further establishing his academic capabilities.

Conclusion

Christopher Prashad is an exceptional researcher whose work in mathematical modeling, data science, and public health stands out for its depth and applicability. His technical skills, collaborative approach, and passion for making complex data accessible make him a strong candidate for the Best Researcher Award. Prashad’s ability to generate insights from complex datasets and apply those insights to real-world problems—particularly in healthcare and epidemiology—has positioned him as a valuable contributor to both academic and industry-driven research initiatives. With his strong academic background, research skills, and accomplishments, Christopher Prashad has demonstrated his potential to drive meaningful advances in the field of data science and public health.

Publication Top Notes

  1. Stochastic Threshold Analysis for Mean-Reverting SIRS Model
    • Submitted to: Journal of Theoretical Biology
    • Status: Forthcoming (Expected December 2024)
    • Citation Information: N/A (Yet to be published)
  2. Problems and Solutions in Modern Finance, Financial Accounting, Mathematical Methods for Quantitative Finance, and Derivatives Markets
    • Status: Independently published (Expected December 2024)
    • Citation Information: N/A (Yet to be published)
  3. Assessing the Impact of Community Mobility on COVID-19 Dynamics
    • Submitted to: PLOS Computational Biology
    • Status: Forthcoming (Expected November 2024)
    • Citation Information: N/A (Yet to be published)
  4. State-Space Modelling for Infectious Disease Surveillance Data: Stochastic Simulation Techniques and Structural Change Detection
    • To be published in: Journal of Infectious Disease Modelling, Primer Articles
    • Status: Forthcoming (Expected October 2024)
    • Citation Information: N/A (Yet to be published)
  5. State-Space Modelling for Infectious Disease Surveillance Data: Dynamic Regression and Covariance Analysis
    • To be published in: Journal of Infectious Disease Modelling, Primer Articles
    • Status: Submitted (August 2024)
    • Citation Information: N/A (Submitted)