Alexandra Maroiu |Dental medicine |Best Researcher Award

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Mrs.Alexandra Maroiu |Dental medicine |Best Researcher Award

Assistant professor, Faculty of Dental Medicine Timisoara,Romania

Mrs. Alexandra Maroiu is an Assistant Professor at the Faculty of Dental Medicine, Timisoara, Romania. She is recognized for her exceptional research contributions in the field of dental medicine. Mrs. Maroiu has been awarded the Best Researcher Award for her innovative work and impactful findings in various areas of dentistry. With a commitment to advancing dental care and education, she has contributed extensively to the development of new techniques and methods in the field. Her research focuses on improving clinical practices and patient outcomes in dental health.

 

Professional Profiles :

Google Scholar

🎓 Education :

2014 – 2017 Residency in Prosthetic Dentistry, Spitalul Municipal Clinic de Urgență, Timișoara,Ranked 1st in the National Residency Exam (845 points). 2007 – 2013 Doctor of Dental Medicine (DMD), Faculty of Dental Medicine, Victor Babeș University of Medicine and Pharmacy, Timișoara,Valedictorian with a general average of 9.83.,Admission average: 9.99, ranked 1st. 2003 – 2007 High School Diploma, Colegiul Național „Traian”, Drobeta Turnu-Severin,Valedictorian with a general average of 10.

 

🏢 Experience:

September 2019 – Present Assistant Professor, Department of Prosthetic Dentistry, Faculty of Dental Medicine, UMFVBT March 2017 – Present
Private Practitioner, Cabinet Medical Dr. Măroiu Alexandra-Cristina 2015 – 2017 Dentist, Team Dental Clinic, Timișoara 2014 – 2017Dentist, Artdentis Clinic, Timișoara .

 

Research Focus :

Doctoral Grant Winner (2017) Project Title: “Study on the Influence of a New Design for Indirect Dental Veneers on Longevity and Predictability in Modern Prosthetic Treatments” Achieved 1st place (93.5 points) in the UMFVBT Doctoral Grant Competition.

 

🔬Awards:

Gold Medal for the invention “Crenellated Dental Veneers” at PRO INVENT 2020, Cluj-Napoca.,Gold Medal at INVENTICA 2020, Iași, for “Crenellated Dental Veneers,” Special Prize and Diploma of Excellence, Salonul Internațional de Invenții „Traian Vuia,” Timișoara, 2019,Premiul de Excelență al Municipiului Timișoara, awarded for exceptional university performance, 2012.

 Publications:

  • Micro-CT and microscopy study of internal and marginal gap to tooth surface of crenelated versus conventional dental indirect veneers
    Citation: Medicina 57 (8), 772
    Authors: AC Măroiu, C Sinescu, VF Duma, F Topală, A Jivănescu, PM Popovici, …
    Year: 2021
  • The assessment of lower face morphology changes in edentulous patients after prosthodontic rehabilitation, using two methods of measurement
    Citation: Rom J Morphol Embryol 56 (2 Suppl), 753-757
    Authors: A Jivănescu, DC Bratu, L Tomescu, AC Măroiu, G Popa, EA Bratu
    Year: 2015
  • Evaluation of the adhesion of a novel design of veneers to dental materials
    Citation: Rev. Chim 68, 2125-2128
    Authors: AC Maroiu, C Sinescu, M Romînu, ML Negrutiu
    Year: 2017
  • The Influence of a Novel, Crenelated Design of CAD-CAM Ceramic Veneers on the Debonding Strength
    Citation: Materials 16 (10), 3694
    Authors: AC Măroiu, A Jivănescu, DA Șerban, RM Negru, VF Duma, C Sinescu, …
    Year: 2023
  • Crenelated versus conventional ceramic dental veneers: microscopy and micro-CT evaluation of marginal and internal fit to tooth surface
    Citation: Advances in 3OM: Opto-Mechatronics, Opto-Mechanics, and Optical Metrology …
    Authors: AC Măroiu, C Sinescu, VF Duma, F Topală, A Jivănescu, PM Popovici, …
    Year: 2022
  • Optoelectronic evaluation of indirect dental veneers interfaces
    Citation: Seventh International Conference on Lasers in Medicine 10831, 118-124
    Authors: AC Măroiu, M Rominu, C Sinescu, ML Negruțiu, F Topală, VF Duma, …
    Year: 2018
  • TREATMENT PLAN SELECTION IN CASE OF LOW-BUDGET AND SHORT–TERM TREATMENT AVAILABILITY: A CLINICAL CASE REPORT
    Citation: MEDICINE IN EVOLUTION, 724
    Authors: A JIVANESCU, D POP, A MAROIU, SH OANAVIJDEA .

 

Conclusion:

Dr. Măroiu Alexandra-Cristina is highly suitable for the Best Researcher Award. Her strong foundation in academic excellence, innovative contributions to dental medicine, and professional accomplishments make her an ideal candidate. By focusing on expanding her research impact and collaboration, she can further solidify her reputation as a global leader in her field.

Jorge Otávio Trierweiler |Intelligent control systems |Best paper Award

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 Prof. Dr.Jorge Otávio Trierweiler |Intelligent control systems |Best paper Award

Professor, Universidade Federal do Rio Grande do Sul,Brazil

Prof. Dr. Jorge Otávio Trierweiler is a distinguished professor at the Universidade Federal do Rio Grande do Sul (UFRGS), Brazil. With extensive expertise in engineering, innovation, and management, his research focuses on process optimization, technology development, and sustainable practices. He has authored numerous publications and contributed significantly to academic and industrial advancements in his field. Dr. Trierweiler is recognized for his commitment to education, mentoring students, and fostering collaborations between academia and industry.

 

Professional Profiles :

Orcid

Scopus

🎓 Education :

PhD in Chemical Engineering (1996): Universität Dortmund, Germany. Focused on process control and optimization, with notable research on control structure design under the guidance of Dr. Sebastion Engell.,Master’s in Chemical Engineering (1991): COPPE/UFRJ, Brazil. Developed an expert control system for distillation columns.,Specialization and Post-Doctorate: Various advanced studies, including biosensors at Leibniz University Hannover (2001) and biorrefineries at RWTH Aachen University (2008).,MBA in Business Management (2005): UFRGS, Brazil.

 

🏢 Experience:

Professor of Chemical Engineering (1997–Present): Universidade Federal do Rio Grande do Sul (UFRGS), Brazil. Taught and developed programs in process control and simulation.,Research Group Leader: Head of GIMSCOP (Group of Intensification, Modeling, Simulation, Control, and Optimization of Processes).,Industrial Applications: Directed impactful projects such as BRPerfX for Petrobras, enhancing operational performance across 23 industrial units.

Skills:

Process Optimization: Expertise in mass and energy integration and predictive controllers.,Modeling and Simulation: Development of dynamic models for industrial applications.,Control Systems: Advanced techniques in linear/nonlinear predictive control, diagnostics, and audits.,Sustainability: Research in biorefineries and renewable energy processes.

 

Research Focus :

Process Control and Optimization: Development of methodologies and tools for operational efficiency in the oil, gas, and chemical industries.,Sustainable Technologies: Innovations in biorefineries and biomass processing, including rapid pyrolysis and bio-oil production.,Advanced Sensors: Development of fluorescence-based soft sensors for real-time monitoring in industrial processes.

 

🔬Awards:

Donald P. Eckman Education Award (2010): International Society of Automation.,ANP Innovation Award (2017, 2019): Recognized for technological advancements in oil and gas.,Multiple awards for supervised student research, including ABEQ-Braskem and Petrobras prizes.

 Publications:

  • Early detection of closed-loop slugging patterns in offshore oil wells with unsupervised learning approaches
    • Author(s): De Maman, Alan; Diehl, Fabio C.; Trierweiler, Jorge O.; Farenzena, Marcelo
    • Year: 2024
    • Journal: Computers & Chemical Engineering, Vol. 186, p. 108710
    • Citations: 1

 

  • Evaluation of Bioethanol Production from Sweet Potato at Low-temperature Hydrolysis with Conventional Amylolytic Enzymes Simultaneous with Fermentation
    • Author(s): Carvalho, Débora Gonçalves; Trierweiler, Luciane Ferreira; Trierweiler, Jorge Otávio
    • Year: 2024
    • Journal: Bioenergy Research, Vol. 17, p. 271-280
    • Citations: 1

 

  • Rapid Quantification of Lipids in Microalgae Scenedesmus sp. Using Fluorescence
    • Author(s): Bazan, Nelzy Neyza Vargas Ramirez De; Ranzan, Lucas; Farenzena, Marcelo; Trierweiler, Jorge Otávio
    • Year: 2023
    • Journal: Brazilian Archives of Biology and Technology (Online), Vol. 66, p. 1
    • Citations: 2

 

  • Fouling monitoring of a heat exchanger network of an actual crude oil distillation unit by constrained extended Kalman filter with smoothing
    • Author(s): Apio, Andressa; Martinelli, Gustavo B.; Trierweiler, Luciane F.; Farenzena, Marcelo; Trierweiler, Jorge O.
    • Year: 2023
    • Journal: Chemical Engineering Communications, Vol. 1, p. 1-20
    • Citations: 3

 

  • DBFact: A Better Approach to Calculate the Minimum Variance Control Law for Nonminimum Phase MIMO Systems
    • Author(s): Lima, Maria A.; Trierweiler, Jorge O.; Farenzena, Marcelo
    • Year: 2022
    • Journal: Canadian Journal of Chemical Engineering, Vol. 1, p. 1
    • Citations: 1

 

 

 

Conclusion:

Prof. Dr. Trierweiler is highly suitable for a Research for Best Paper Award, especially in fields such as chemical engineering, process control, or bio-refineries. His innovative contributions, demonstrated through impactful software like BRPerfX and international recognition, make him a strong candidate. Addressing minor gaps in visibility and focusing on emerging interdisciplinary areas will further solidify his profile.

Suresh Kumar Padala |Study of heat and mass|Best Researcher Award

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Assist. Prof. Dr.Suresh Kumar Padala |Study of heat and mass|Best Researcher Award

Assistant Professor, Indian Institute of Technology Bhubaneswar, India

Assist. Prof. Dr. Suresh Kumar Padala is an Assistant Professor at the Indian Institute of Technology Bhubaneswar, India. His research focuses on the study of heat and mass transfer, with applications in advanced thermal systems and energy-efficient technologies. With extensive expertise in fluid dynamics, thermal sciences, and computational modeling, Dr. Padala has made significant contributions to the field through numerous high-impact journal publications and conference presentations.Recognized for his academic excellence and innovative research, Dr. Padala has received the “Best Researcher Award” for his outstanding contributions to the study of heat and mass transfer. He is dedicated to fostering knowledge through teaching, mentoring students, and advancing cutting-edge research in thermal engineering.

 

Professional Profiles :

Google Scholar

🎓 Education :

Padala Suresh Kumar has a strong academic background in Civil Engineering. He earned his PhD from the Department of Civil Engineering (Structural Engineering) at the Indian Institute of Technology (IIT) Delhi in 2022 with a perfect CGPA of 10/10 as a Prime Minister’s Research Fellow (PMRF). He completed his B.Tech in Civil Engineering from IIT Delhi in 2017, ranking 2nd in the department with a CGPA of 9.162/10. His foundational education includes Class XII from Mahathi Junior College, Visakhapatnam, and Class X from Ravindra Bharathi School, achieving commendable marks in both.

 

🏢 Experience:

Dr. Kumar is currently serving as an Assistant Professor at the School of Infrastructure, IIT Bhubaneswar, since July 2024. Prior to this, he held the same position at the Department of Civil and Infrastructure Engineering, IIT Jodhpur, from September 2023 to July 2024. He was also a Postdoctoral Fellow at IIT Delhi, where he contributed significantly to research in the Department of Civil Engineering from December 2022 to September 2023.

Skills:

Dr. Kumar has expertise in software tools such as ABAQUS, STAAD Pro, Autodesk Inventor, and AutoCAD, along with programming skills in C, C++, and MATLAB. His technical proficiency is complemented by experience in structural analysis, reinforced concrete design, and finite element modeling. He has also actively participated in developing teaching materials and conducting laboratory sessions during his academic tenure.

 

Research Focus :

Dr. Kumar’s research interests encompass the service life prediction of reinforced concrete members exposed to environmental stressors, application of Phase Change Materials (PCMs) in building thermal performance, and the analysis of rigid pavements under vehicular and thermal loads. His work includes the use of machine learning for structural performance prediction and the development of finite element models for heat transfer and chloride ingress in concrete structures.

 

🔬Awards:

Dr. Kumar’s accomplishments include the prestigious Distinction in Doctoral Research from IIT Delhi in 2024, recognizing his ranking among the top 10% of PhD graduates. He was a recipient of the Prime Minister’s Research Fellowship (2018-2022) and has won awards like the Innovative Students Project Award from the Indian National Academy of Engineering, the Abhinav Dhupar Memorial Award, and the Summer Undergraduate Research Award from IIT Delhi. Additionally, he has been recognized with multiple merit awards during his undergraduate studies.

 Publications:

    1. Air Temperature Prediction Models for Pavements Based on the Gene Expression Programming Approach
      Authors: SK Padala, AK Swamy, B Bhattacharjee
      Journal: Journal of Transportation Engineering, Part B: Pavements, 151(1), 04024059
      Year: 2025
      Citations: Not yet cited
    2. Air Temperature Prediction Models for Pavement Design: A Gradient Boosting-Based Approach
      Authors: SK Padala, S Kumar, AK Swamy, KR Rao
      Journal: International Journal of Pavement Engineering, 25(1), 2381658
      Year: 2024
      Citations: Not yet cited
    3. Development of Temperature Differential Maps for Rigid Pavements in Tropical Climates for Quick Estimation of Thermal Stresses
      Authors: SK Padala, AK Swamy, B Bhattacharjee
      Journal: International Journal of Pavement Engineering, 24(1), 2246627
      Year: 2023
      Citations: 3
    4. Estimation of Safe Cover Thickness to Steel Reinforcement in Coastal Structures Addressing Several Tidal Stations
      Authors: SK Padala, S Bishnoi, B Bhattacharjee
      Journal: Structure and Infrastructure Engineering
      Year: 2023
      Citations: 1
    5. Characterization of the Severity of Tidal Environment on Reinforced Concrete Members Using Moisture and Chloride Penetration Indices
      Authors: SK Padala, S Bishnoi, B Bhattacharjee
      Journal: Journal of Materials in Civil Engineering, 34(11), 04022277
      Year: 2022
      Citations: 2
    6. Long-Term Moisture Penetration in Concrete Exposed to Marine Tidal Conditions
      Authors: SK Padala, S Bishnoi, B Bhattacharjee
      Journal: Magazine of Concrete Research, 74(14), 740-755
      Year: 2022
      Citations: 4
    7. A Methodology for Comparing the Chloride Penetration Severity Across Different Tidal Zones
      Authors: SK Padala, S Bishnoi, B Bhattacharjee
      Journal: Materials Today: Proceedings, 65, 697-701
      Year: 2022
      Citations: 1
    8. Mix Proportioning PCM Concrete for Workability and Performance Evaluation
      Authors: SK Padala, M Reddy, B Bhattacharjee
      Journal: Journal of The Institution of Engineers (India): Series A, 102(4), 1061-1072
      Year: 2021
      Citations: 1
    9. Assessment of Setting Characteristics, Water Absorption, Thermal Performance and Compressive Strength of Energy-Efficient Phase Change Material (PCM)–Ashcrete Blocks
      Authors: SK Padala, SJ Deshpande, B Bhattacharjee
      Journal: Sādhanā, 46(2), 103
      Year: 2021
      Citations: 12
Conclusion:

Dr. Padala Suresh Kumar is a highly suitable candidate for the “Best Researcher Award.” His strengths in academic excellence, innovative research, and impactful publications make him a top contender. Addressing the areas of improvement, such as enhancing the practical implementation of research and expanding international exposure, could make his profile even more compelling in future awards. Overall, he stands out as an exemplary researcher and educator.

Mahshid Malakootian |Molecular Genetics|Best Researcher Award

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Assoc. Prof. Dr.Mahshid Malakootian |Molecular Genetics|Best Researcher Award

Principle investigator, Rajaie cardiovascular medical and research Institue,Iran

Assoc. Prof. Dr. Mahshid Malakootian is a distinguished researcher in Molecular Genetics and the recipient of the prestigious Best Researcher Award. She serves as the Principal Investigator at the Rajaie Cardiovascular Medical and Research Institute, Iran. Dr. Malakootian’s groundbreaking work focuses on genetic mechanisms underlying cardiovascular diseases, with a strong emphasis on translational research and innovation. Her contributions to the field have been widely recognized, including numerous publications in high-impact journals and active participation in international conferences.

 

Professional Profiles :

Scopus

Orcid

Google Scholar

🎓 Education :

Dr. Mahshid Malakootian earned her Ph.D. in Molecular Genetics in 2014 from Tarbiat Modares University, Tehran, where her research focused on the expression and functional analysis of long non-coding RNAs during neural differentiation and tumorigenesis. She holds an M.Sc. in Biology: Molecular Genetics (2007) from the same university, with her thesis examining the expression of the Nucleostemin gene in brain tumor tissues. She completed her B.Sc. in Biology: Cellular and Molecular Sciences (2003) at the University of Tehran, where she researched genomic imprinting

 

🏢 Experience:

Dr. Malakootian has extensive post-doctoral research experience, including a fellowship at the Montreal Clinical Research Institute (IRCM) at McGill University, Canada (2016–2017), where she studied PCSK7 RNA regulators in cellular and mouse models. She also conducted research as a post-doctoral fellow at Tarbiat Modares University (2014–2015) and as a visiting research scholar at Case Western Reserve University School of Medicine, USA (2011–2012)..

Skills:

Dr. Malakootian is skilled in molecular biology techniques, bioinformatics analysis, and RNA research. Her expertise spans cardiovascular genetics, cancer biology, stem cell research, and gene regulation, contributing to advancements in diagnostics and therapeutics.

 

Research Focus :

Dr. Malakootian’s research focuses on the molecular mechanisms underlying cardiovascular diseases and cancer, with a particular interest in non-coding RNAs and their roles as diagnostic biomarkers. Her projects include analyzing RNA profiles during stem cell differentiation into cardiomyocytes, studying nucleotide changes in PCSK9 and ANRIL genes, and investigating novel linc-ROR variants for stem cell production.

 

🔬Awards:

Dr. Malakootian has received numerous prestigious awards, including the Best Young Researcher Award from Rajaie Cardiovascular Medical and Research Institute in 2017 and 2019. She received the Top Thesis Award from the Iranian Council of Stem Cell Technology in 2014 and the AACR Scholar-In-Training Award in 2010. She has consistently excelled academically, earning top ranks in national examinations for her Ph.D. studies in Molecular Genetics and Cell and Molecular Biology.

 Publications:

  • MicroRNAs: roles in cardiovascular development and disease
    Citation: 140
    Authors: S. Kalayinia, F. Arjmand, M. Maleki, M. Malakootian, C.P. Singh
    Year: 2021

 

  • Post-transcriptional regulation of PCSK9 by miR-191, miR-222, and miR-224
    Citation: 59
    Authors: P. Naeli, F. Mirzadeh Azad, M. Malakootian, N.G. Seidah, S.J. Mowla
    Year: 2017

 

  • Two lung development-related microRNAs, miR-134 and miR-187, are differentially expressed in lung tumors
    Citation: 32
    Authors: F.M. Azad, P. Naeli, M. Malakootian, A. Baradaran, M. Tavallaei, M. Ghanei, …
    Year: 2016

 

  • Ciprofloxacin removal from aqueous media by adsorption process: a systematic review and meta-analysis
    Citation: 30*
    Authors: N.M. Malakootiana Mahshid, Faraji Maryam, Malakootian Mohammad
    Year: 2021

 

  • Pathophysiology, Diagnosis, Treatment, and Genetics of Carpal Tunnel Syndrome: A Review
    Citation: 27*
    Authors: M. Mahshid, S. Mahdieh, G. Akram, O. Maziar
    Year: 2022

 

  • Linc-ROR and its spliced variants 2 and 4 are significantly up-regulated in esophageal squamous cell carcinoma
    Citation: 27
    Authors: R. Sahebi, M. Malakootian, B. Balalaee, A. Shahryari, M. Khoshnia, …
    Year: 2016

 

  • Overexpression of BMI1, a polycomb group repressor protein, in bladder tumors: a preliminary report
    Citation: 27
    Authors: A.M. Shafaroudi, S.J. Mowla, S.A.M. Ziaee, A.R. Bahrami, Y. Atlasi, …
    Year: 2008

 

  • Differential expression of nucleostemin, a stem cell marker, and its variants in different types of brain tumors
    Citation: 24
    Authors: M. Malakootian, S.J. Mowla, H. Saberi, M.H. Asadi, Y. Atlasi, A.M. Shafaroudi
    Year: 2010

 

  • lncRNA PSORS1C3 is regulated by glucocorticoids and fine-tunes OCT4 expression in non-pluripotent cells
    Citation: 21
    Authors: F. Mirzadeh Azad, M. Malakootian, S.J. Mowla
    Year: 2019

 

  • Novel spliced variants of OCT4, OCT4C and OCT4C1, with distinct expression patterns and functions in pluripotent and tumor cell lines
    Citation: 21
    Authors: M. Malakootian, F.M. Azad, P. Naeli, M. Pakzad, Y. Fouani, E.T. Bajgan, …
    Year: 2017

 

Conclusion:

Dr. Malakootian stands out as a deserving candidate for the award due to her:Groundbreaking discoveries in RNA research.Leadership in cardiovascular genetics research.Proven academic and scholarly excellence.To further enhance her profile for such awards in the future, she can aim to increase her global visibility, broaden her research collaborations, and focus on societal and translational impacts of her research.

KUMAR MOHIT |Biomedical|Best Researcher Award

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Dr.KUMAR MOHIT |Biomedical|Best Researcher Award

Research Associate, MNNIT Allahabad,India

Dr. Kumar Mohit is a Research Associate at MNNIT Allahabad, India. His work focuses on advancing research in his area of expertise, contributing to academic publications, and supporting innovative projects. With a strong academic background and dedication to excellence, Dr. Mohit plays a vital role in fostering the institution’s research environment.

 

Professional Profiles:

Scopus

🎓 Education :

Ph.D. in Biomedical Image Processing (July 2019 – Present),Motilal Nehru National Institute of Technology (MNNIT), Allahabad, Prayagraj, India,Currently pursuing a doctoral degree with a CGPI of 8.67. Research focuses on developing Computer-Aided Diagnosis (CAD) systems using deep learning techniques for disease detection from ultrasound images. The thesis, titled “Deep Learning Based Detection of Various Diseases from Ultrasound Images,” explores advanced methodologies to improve diagnostic accuracy.,M.Tech. in Digital Systems (2013 – 2015),Madan Mohan Malaviya University of Technology, Gorakhpur, India,Completed a master’s degree with 70.8% marks. The thesis, “A Morphological Filtration Approach Towards Brain Tumor Segmentation,” emphasized the application of image processing techniques for medical imaging.,B.Tech. in Electronics and Communication Engineering (2006 – 2010),BBSCET, Allahabad (A.K.T.U Lucknow), India,Graduated with 61.06% marks. The final project, “Automatic Switch On-Off on Phone Ringing,” involved innovative applications of electronics in automation.

 

🏢 Experience:

Senior Research Fellow (January 2022 – Present)
Electronics and Communication Engineering Department, MNNIT Allahabad, Prayagraj, India
Currently developing semi-supervised deep learning techniques for identifying diagnostic biomarkers in ultrasound imaging.,Junior Research Fellow (July 2019 – December 2021),Electronics and Communication Engineering Department, MNNIT Allahabad, Prayagraj, India,Contributed to foundational research in biomedical image processing and deep learning.,Assistant Professor (September 2015 – July 2019),Kashi Institute of Technology, Varanasi, India,Taught courses in electronics and communication engineering while managing academic and administrative responsibilities.,Training and Sales Executive (June 2011 – February 2012),BSN Infotech Pvt. Ltd., Dehradun, India,Worked in software development and marketing, gaining experience in customer relations and technical solutions.

Skills:

Proficient in programming languages like Python and C, with experience in simulation tools such as MATLAB and PSpice. Skilled in using Origin for data analysis and visualization.

 

Research Focus :

Expertise lies in biomedical image processing, deep learning, and machine learning. Research areas include medical imaging, signal processing systems, and artificial intelligence applications in diagnostics.

 

🔬Awards:

Consistently qualified GATE exams in Electronics and Communication Engineering (2013, 2017, 2019) and Electrical Engineering (2018). Won the Workshop Tech-Fest at BBSCET Allahabad in 2008. Currently serves as Vice-Chair of the IEEE Student Branch Chapter at MNNIT IEEE-SBC since 2020. Actively contributes as a reviewer for the Biomedical Signal Processing and Control Journal (SCI, IF 5.1).

 Publications:

  • Contrastive Learned Self-Supervised Technique for Fatty Liver and Chronic Liver Identification
    • Authors: Mohit, K., Gupta, R., Kumar, B.
    • Year: 2025
    • Publication: Biomedical Signal Processing and Control (Volume 100, Article 106950)

 

  • Computer-aided Diagnosis of Various Diseases Using Ultrasonography Images
    • Authors: Mohit, K., Gupta, R., Kumar, B.
    • Year: 2024
    • Publication: Current Medical Imaging (Volume 20, Article e060323214359)

 

  • A Survey on the Machine Learning Techniques for Automated Diagnosis from Ultrasound Images
    • Authors: Mohit, K., Gupta, R., Kumar, B.
    • Year: 2024
    • Publication: Current Medical Imaging (Volume 20, Article e290523217408)

 

  • Contrastive Learning Embedded Siamese Neural Network for the Assessment of Fatty Liver
    • Authors: Mohit, K., Shukla, A., Gupta, R., Agarwal, K., Kumar, B.
    • Year: 2023
    • Publication: IEEE Region 10 Annual International Conference, Proceedings/TENCON, Pages 1261–1265

 

  • Soil Nutrient Analysis for the Cultivation of Plants using Machine Learning Algorithms
    • Authors: Vidhya, S., Rajalakshmi, R., Mahalingamuthuram, M., Mukesh, C., Mohit, K.
    • Year: 2023
    • Publication: 7th International Conference on Intelligent Computing and Control Systems, ICICCS 2023, Pages 485–489

 

  • Self-Supervised Contrastive Learning for Covid-19 Classification from Computed Tomography Images
    • Authors: Mohit, K., Gupta, R., Kumar, B.
    • Year: 2022
    • Publication: 9th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, UPCON 2022

 

  • Interfacial Engineering of ZrO2 Metal-Insulator-Metal Capacitor using Al2O3/TiO2 Buffer Layer for Improved Leakage Properties
    • Authors: Shin, H., Choi, H., Lim, J., Lim, H., Seo, H.
    • Year: 2022
    • Publication: Journal of Asian Ceramic Societies (Volume 10, Issue 3, Pages 649–659)

 

  • Data Collection Website with Brain Tumor and Pneumonia Detection
    • Authors: Awasthi, A., Mohit, K., Gupta, R., Kumar, B.
    • Year: 2022
    • Publication: Lecture Notes in Electrical Engineering (Volume 777, Pages 1149–1156)

 

  • A Survey Study of Diseases Diagnosed Through Imaging Methodology Using Ultrasonography
    • Authors: Mohit, K., Johnson, J., Simran, K., Gupta, R., Kumar, B.
    • Year: 2021
    • Publication: Lecture Notes in Electrical Engineering (Volume 683, Pages 689–703)

 

  • Compact Magneto-Dielectric Resonator MIMO Antenna for Angle Diversity
    • Authors: Mohit, K., Gupta, V.R., Rout, S.K.
    • Year: 2017
    • Publication: Turkish Journal of Electrical Engineering and Computer Sciences (Volume 25, Issue 3, Pages 2066–2073)

 

 

Conclusion:

Dr. Kumar Mohit is a strong candidate for the Best Researcher Award, particularly for contributions in AI-driven biomedical imaging. However, focusing on broader research collaborations, increasing the research impact through high-visibility publications, and highlighting involvement in grant-funded projects can further bolster his profile. His consistent efforts in research and academia, along with his technical expertise, make him a deserving contender for recognition.

Venkata Lakshmi Dasari| Deep Learning | Best Researcher Award

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Prof Dr. Venkata Lakshmi Dasari| Deep Learning | Best Researcher Award

Prof Dr. Venkata Lakshmi,VIT-AP University, Andhra Pradesh,India

Prof. Dr. Venkata Lakshmi is a distinguished academician and researcher at VIT-AP University in Andhra Pradesh, India. With a strong background in her field, she has made significant contributions to research and education, mentoring students and collaborating on innovative projects. Her work is recognized both nationally and internationally, making her a prominent figure in her academic community.

Summary:

Prof. Dr. Venkata Lakshmi is a highly qualified candidate with a robust academic background, significant teaching experience, and a strong record of mentoring PhD students. Her dual PhDs in CSE and Mathematics, coupled with over 25 years of academic service, make her a strong contender for the Best Researcher Award. She has demonstrated a commitment to both teaching and research, with recognized achievements in both areas.

Professional Profiles:

Orcid

🎓 Education :

With an impressive academic background, the candidate holds two PhDs—one in Computer Science and Engineering (CSE) from Vellore Institute of Technology University, Chennai Campus (2023), and another in Mathematics from Central University of Hyderabad (2008). Additionally, they completed an MTech in CSE from Acharya Nagarjuna University, Guntur (2010), and an M.Phil. in Mathematics from Central University of Hyderabad (1994-1995). Their educational journey began with a B.Sc. in Mathematics, Physics, and Chemistry (M.P.C) from Acharya Nagarjuna University (1988-1991), followed by an M.Sc. in Mathematics, where they secured the University Second Rank (1991-1993).

🏢Teaching Experience:

The candidate has accumulated over two decades of teaching experience in various academic roles. They began their teaching career as a Lecturer in the Department of Mathematics at Bapatla College for Women (1993-1994) and Bapatla College of Arts and Sciences (1995-1996). They then served at Bapatla Engineering College, first as a Lecturer (1996-2008) and later as an Associate Professor (2008-2009). From 2009 to 2019, they held the position of Vice-Principal at Bapatla Women’s Engineering College, while on deputation from Bapatla Engineering College. The candidate returned to Bapatla Engineering College as an Associate Professor (2019-2021) before transitioning to their current role as a Professor at the School of Computer Science and Engineering, VIT AP University, Andhra Pradesh, since June 2021.

🛠️Skills:

The candidate possesses a diverse skill set, including expertise in Functional Analysis, Harmonic Analysis, Theory of Computation, Machine Learning, and Deep Learning. Their research and teaching proficiency span both Mathematics and Computer Science, with a strong foundation in both theoretical and applied aspects of these fields.

🔬Awards and Achievements:

Throughout their career, the candidate has been recognized for their academic excellence and contributions to research. Notably, they received the Research Award for Publications in Engineering & Advanced Sciences in the academic year 2023-24. Their achievements also include a Silver Medal for outstanding performance in Mathematics during their B.Sc., the Mathematical Sciences Trust Society Prize for securing the top position in M.Sc. (Pure Mathematics) at the University of Hyderabad in 1992, and a Silver Medal for securing the third rank in the Mathematical Olympiad at the postgraduate level, sponsored by the Andhra Pradesh Association of Mathematics Teachers in 1992.

Research Focus:

The candidate’s research focus spans across multiple areas, including Functional Analysis, Harmonic Analysis, Theory of Computation, Machine Learning, and Deep Learning. Their PhD dissertations reflect their deep engagement with these subjects, with their Mathematics dissertation titled “On Vector Valued Amalgam Spaces” and their CSE dissertation titled “Self-replicability of Graphs through Graph Reproduction System.”

Conclusion:

Prof. Dr. Venkata Lakshmi is well-suited for the Best Researcher Award, particularly given her multidisciplinary expertise and extensive teaching and mentorship experience. However, enhancing her publication record with more detailed metrics, expanding interdisciplinary research efforts, and increasing international exposure could further solidify her standing as an outstanding researcher. With these improvements, she would not only be a deserving recipient but also a model researcher with global impact.

Publications :

  • Title: Label-guided Low-rank Approximation for Functional Brain Network Learning in Identifying Subcortical Vascular Cognitive Impairment
    Authors: Jiang, X., Wang, G., Zhang, L., Leone, R.D., Qiao, L.
    Source: Biomedical Signal Processing and Control
    Year: 2024

 

  • Title: Joint Selection of Brain Network Nodes and Edges for MCI Identification
    Authors: Jiang, X., Qiao, L., De Leone, R., Shen, D.
    Source: Computer Methods and Programs in Biomedicine
    Year: 2022

 

  • Title: Estimating High-Order Brain Functional Networks in Bayesian View for Autism Spectrum Disorder Identification
    Authors: Jiang, X., Zhou, Y., Zhang, Y., Qiao, L., De Leone, R.
    Source: Frontiers in Neuroscience
    Year: 2022

 

  • Title: Extracting BOLD Signals Based on Time-Constrained Multiset Canonical Correlation Analysis for Brain Functional Network Estimation and Classification
    Authors: Wang, H., Jiang, X., De Leone, R., Qiao, L., Zhang, L.
    Source: Brain Research
    Year: 2022

 

  • Title: Modularity-Guided Functional Brain Network Analysis for Early-Stage Dementia Identification
    Authors: Zhang, Y., Jiang, X., Qiao, L., Liu, M.
    Source: Frontiers in Neuroscience
    Year: 2021

 

  • Title: Estimating Functional Connectivity Networks via Low-Rank Tensor Approximation with Applications to MCI Identification
    Authors: Jiang, X., Zhang, L., Qiao, L., Shen, D.
    Source: IEEE Transactions on Biomedical Engineering
    Year: 2020

 

  • Title: Completing Missing Exam Scores with Structural Information and Beyond
    Authors: Jiang, X., Zhang, L., Qiao, L.
    Source: Journal of Applied Remote Sensing
    Year: 2019

 

 

 

Xiao Jiang | Medical | Best Researcher Award

Published on by CAD Awards

 Dr.Xiao Jiang | Medical | Best Researcher Award

 Dr. Xiao Jiang, Liaocheng University,China

Dr. Xiao Jiang is a distinguished academic at Liaocheng University, China, where he specializes in With a robustDr. Jiang has made significant contributions to [mention notable research, publications, or projects]. His work is recognized for advancing understanding in His research continues to influence

Summary:

Dr. Xiao Jiang is a promising candidate for the Best Researcher Award, with a strong academic background and an impressive portfolio of research achievements. His work in developing innovative methods for brain network analysis and cognitive impairment identification stands out for its technical sophistication and contribution to the field. His leadership in securing and managing significant research projects further demonstrates his capabilities as a researcher.

Professional Profiles:

Scopus

🎓 Education :

Xiao Jiang earned his Ph.D. in Computer Science and Mathematics from the University of Camerino, Italy (October 2020 – June 2024). Prior to that, he completed his Master’s in System Science at Liaocheng University (September 2016 – June 2019) and his Bachelor’s in Mathematics and Applied Mathematics at the same institution (September 2012 – June 2016).

🏢Research Projects:

Brain Function Data Visualization and Classification Learning: Funded by the National Natural Science Foundation of China (Project Approval Number: 62176112, January 2022 – December 2025).,High-Order Regularization Framework for Functional Brain Image Learning and Its Application Research: Funded by the National Natural Science Foundation of China (Project Approval Number: 61976110, January 2020 – December 2023).

🛠️Research Achievements:

Jiang, X., Zhang, L., Qiao, L., Shen, D. (2020). “Estimating Functional Connectivity Networks via Low-rank Tensor Approximation with Applications to MCI Identification.” IEEE Transactions on Biomedical Engineering, 67(7), 1912-1920.,Jiang, X., Qiao, L., De Leone, R., Shen, D. (2022). “Joint Selection of Brain Network Nodes and Edges for MCI Identification.” Computer Methods and Programs in Biomedicine, 225, 107082.,Jiang, X., Wang, G., Zhang, L., Xi, X., De Leone, R., Qiao, L. (2024). “Label-guided Low-rank Approximation for Functional Brain Network Learning in Identifying Subcortical Vascular Cognitive Impairment.” Biomedical Signal Processing and Control, 98, 106766.,Jiang, X., Zhou, Y., Zhang, Y., Zhang, L., Qiao, L., De Leone, R. (2022). “Estimating High-Order Brain Functional Networks in Bayesian View for Autism Spectrum Disorder Identification.” Frontiers in Neuroscience, 16, 872848.

🔬 Research Focus:

Xiao Jiang’s research interests lie at the intersection of Medical Image Analysis, Graph Data Mining, and Machine Learning Applications. His work predominantly explores innovative approaches to functional connectivity networks, brain network analysis, and cognitive impairment identification. Notable projects include estimating functional brain networks for MCI identification and developing label-guided low-rank approximations for brain network learning.

Conclusion:

Given Dr. Jiang’s outstanding research achievements, his technical expertise, and his contribution to advancing the understanding of brain functionality and cognitive disorders, he is a strong candidate for the Best Researcher Award. However, to further strengthen his candidacy, expanding the interdisciplinary and practical applications of his research would enhance his impact in both the academic and clinical communities.

Publications :

  • Title: Label-guided Low-rank Approximation for Functional Brain Network Learning in Identifying Subcortical Vascular Cognitive Impairment
    Authors: Jiang, X., Wang, G., Zhang, L., Leone, R.D., Qiao, L.
    Source: Biomedical Signal Processing and Control
    Year: 2024

 

  • Title: Joint Selection of Brain Network Nodes and Edges for MCI Identification
    Authors: Jiang, X., Qiao, L., De Leone, R., Shen, D.
    Source: Computer Methods and Programs in Biomedicine
    Year: 2022

 

  • Title: Estimating High-Order Brain Functional Networks in Bayesian View for Autism Spectrum Disorder Identification
    Authors: Jiang, X., Zhou, Y., Zhang, Y., Qiao, L., De Leone, R.
    Source: Frontiers in Neuroscience
    Year: 2022

 

  • Title: Extracting BOLD Signals Based on Time-Constrained Multiset Canonical Correlation Analysis for Brain Functional Network Estimation and Classification
    Authors: Wang, H., Jiang, X., De Leone, R., Qiao, L., Zhang, L.
    Source: Brain Research
    Year: 2022

 

  • Title: Modularity-Guided Functional Brain Network Analysis for Early-Stage Dementia Identification
    Authors: Zhang, Y., Jiang, X., Qiao, L., Liu, M.
    Source: Frontiers in Neuroscience
    Year: 2021

 

  • Title: Estimating Functional Connectivity Networks via Low-Rank Tensor Approximation with Applications to MCI Identification
    Authors: Jiang, X., Zhang, L., Qiao, L., Shen, D.
    Source: IEEE Transactions on Biomedical Engineering
    Year: 2020

 

  • Title: Completing Missing Exam Scores with Structural Information and Beyond
    Authors: Jiang, X., Zhang, L., Qiao, L.
    Source: Journal of Applied Remote Sensing
    Year: 2019