SASANK VVS |machine learning| Best Researcher Award

Posted on 27/11/2024 by 21b4bddf87157652317827146367558f

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Dr. SASANK VVS |machine learning| Best Researcher Award

ASSISTANT PROFESSOR,K L UNIVERSITY,India

Dr. VVS Sasank is an Assistant Professor at K L University, India. With a strong background in his field of expertise, Dr. Sasank is dedicated to advancing research and education. He has made significant contributions to academic literature and is recognized for his commitment to fostering innovative learning methodologies. At K L University, he focuses on mentoring students, conducting impactful research, and contributing to the institution’s mission of excellence in higher education. His areas of interest include [add specific areas of research or specialization if known].

Summary:

Dr. Sasank VVS has exhibited a robust academic and research profile, combining strong academic qualifications, a distinguished teaching career, and significant contributions to research. His efforts in publishing SCI-indexed papers, receiving patents, and securing prestigious certifications reflect his dedication to advancing knowledge in his field. His work is not only academic but also highly relevant in the practical application of IoT and machine learning technologies.

Professional Profiles:

Scopus

🎓 Education :

Dr. Sasank has consistently demonstrated academic brilliance, earning a Ph.D. in Computer Science from K.L. University (2019–2023), focusing on cutting-edge research. He completed his M.Tech in Computer Science and Technology at GITAM University (2016), securing a CGPA of 9.11 and achieving the top rank in his department. His B.Tech in Information Technology at GITAM University (2013) was marked by distinction with a CGPA of 8.15. Earlier, he excelled in his intermediate education at Mega Junior College (2009) and 10th-grade studies at Jassver English Medium School (2007), graduating with first-class distinctions.

🏢 Experience:

With extensive teaching and administrative experience, Dr. Sasank currently serves as an Assistant Professor and ERP Registration In-charge at K.L. University (December 2021–Present), where he manages course registrations and teaches advanced computer science topics. Previously, he held roles as an Assistant Professor and Placement Officer at Anil Neerukonda Institute of Technology & Sciences (2017–2019) and as an Assistant Professor at Lendi Institute of Engineering & Technology (2016–2017). His teaching journey began as a Teaching Assistant at GITAM University (2015–2016).

🛠️Skills:

Dr. Sasank is proficient in programming languages such as C, C++, Java, and DevOps, and database systems like Oracle-10G, MySQL, and PostgreSQL. His teaching repertoire includes specialized subjects like DBMS, Software Engineering, Computer Architecture, UI/UX Design, and DevOps. Certified as a Google Associate Cloud Engineer (2023) and AWS Cloud Practitioner, he combines technical and academic expertise to advance his professional goals

Research Focus :

A committed researcher, Dr. Sasank has published 5 SCI-indexed papers, with 1 under review, alongside 3 Scopus-indexed papers, 1 book chapter, and 3 IEEE conference papers. His research interests span IoT, machine learning, software modeling, and data management systems. Additionally, he has guided 12 B.Tech batches, 2 M.Tech project batches, and 1 ongoing Ph.D. scholar, showcasing his mentorship abilities.

🔬Awards:

He was recognized for his academic excellence by securing 1st rank in M.Tech (CSE) at GITAM University (2016) and is celebrated for his innovative project guidance and research accomplishments.

Conclusion:

Dr. Sasank VVS is an excellent candidate for the Best Researcher Award due to his substantial contributions to both the academic and research domains. His accomplishments in research, teaching, and innovation underscore his potential for long-term impact in the field of computer science. With a few strategic improvements, such as broadening his research areas and fostering more international collaborations, Dr. Sasank can continue to make significant contributions to the global scientific community.

Publications:

Prostate cancer classification using adaptive swarm intelligence-based deep attention neural network
- Authors: Sowmya, D., Bhavani, S.A., Sasank, V.V.S., Rao, T.S.
- Year: 2024
- Citations: 0

Real-time face detection and recognition
- Authors: Lekhaz, A., Sasank, V.V.S., Rao, Y.K.
- Year: 2024
- Citations: 0

Effective Segmentation and Brain Tumor Classification Using Sparse Bayesian ELM in MRI Images
- Authors: Sasank, V.V.S., Venkateswarlu, S.
- Year: 2023
- Citations: 1

Monitor and Control Electricity for Home Appliance
- Authors: Sharma, P.K., Lakshmi, B., Prakash, A., Sasank, V.V.S., Ashokkumar, N.
- Year: 2023
- Citations: 0

An Analysis and Study of Brain Cancer with RNN Algorithm based AI Technique
- Authors: Vallathan, G., Rao Yanamadni, V., Vidhya, R.G., Ambhika, C., Sasank, V.V.S.
- Year: 2023
- Citations: 7

Machine Learning Model to Reduce the Various Defects on Die Casting Process
- Authors: Jagadeesan, S., Janardhan, M., Singh, B., Sasank, V.V.S., Kapila, D.
- Year: 2023
- Citations: 0

Smart Home Messenger Notifications System using IoT
- Authors: Sai, M.R., Teja, K.K., Sasank, V.P., Kavitha, M., Aravinth, S.S.
- Year: 2023
- Citations: 10

Hybrid deep neural network with adaptive rain optimizer algorithm for multi-grade brain tumor classification of MRI images
- Authors: Sasank, V.V.S., Venkateswarlu, S.
- Year: 2022
- Citations: 15

HATE SPEECH & OFFENSIVE LANGUAGE DETECTION USING ML & NLP
- Authors: Panchala, G.H., Sasank, V.V.S., Adidela, D.R.H., Ashesh, K., Prasad, C.
- Year: 2022
- Citations: 6

Security and Privacy in Associated Self-Controlled Cars
- Authors: Sasank, V.V.S., Lokesh, B., Mahesh, J., Kumar, T.S., Prasad, C.
- Year: 2022
- Citations: 0

Chaohai Liu | metal bending | Best Researcher Award

Posted on 07/11/202407/11/2024 by 21b4bddf87157652317827146367558f

Mr. Chaohai Liu | metal bending | Best Researcher Award

gunma university, Japan

Mr. Chaohai Liu is a distinguished researcher affiliated with Gunma University in Japan. His expertise lies in advanced engineering and technology, with a focus on innovative solutions in areas such as thermal systems, materials science, or related fields. Known for his commitment to research and academia, Mr. Liu contributes to the university’s mission of advancing knowledge and technology through rigorous research and development.

Summary:

Dr. Gloria García-Donas Gabaldón stands out as an exemplary candidate for the Research for Best Researcher Award due to her significant contributions to medical research and public health. Her extensive publication record and impactful studies highlight her dedication to advancing medical knowledge and improving patient outcomes.

Professional Profiles:

Google Scholar

🎓 Education :

Bachelor of Science (BS) in Material Processing and Control Engineering,Chongqing University of Science and Technology
Thesis: Design of Automotive Roof Rack Stamping,Master of Engineering (MEng) in Vehicle Engineering,Chongqing JIAOTONG University
Thesis: Optimized Design of Rivetless Riveting Process and Parameters for Automotive Heterogeneous Plate Parts,Doctor of Philosophy,(Ph.D.) in Mechanical Engineering,Gunma University,Thesis: Door Sheet Metal Hemming Process Analysis Through Experiment and Numerical Approach

🏢 Experience:

Master’s Research (Sep 2017 – Jun 2020),Conducted comprehensive research at Chongqing JIAOTONG University on lightweight vehicle design and forming technologies, focusing on key applications in the automotive industry.Ph.D. Research (Oct 2020 – Present)
Collaborating with Takatsu Manufacturing Co. at Gunma University, performed both experimental and Finite Element Analysis (FEA) studies on the hemming process, transitioning towards robotic arm roller hemming for improved efficiency. Utilized DEFORM software to conduct detailed analysis, optimize force data, and investigate hardening mechanisms. Developed an experimental platform to evaluate roller hemming defects and proposed advanced testing methods, incorporating the NSGA-II algorithm and exploring potential integrations with deep learning techniques.

🛠️Skills:

Advanced knowledge of CAD and FEA software, especially DEFORM,Expertise in optimization algorithms (NSGA-II),Proficiency in experimental platform development for mechanical testing,Strong background in mechanical material deformation analysis,Skilled in data analysis, problem-solving, and technical report writing

Research Focus :

Dedicated to innovating in the fields of CAD, mechanical engineering optimization, and roller hemming processes, with an emphasis on improving efficiency and accuracy in automotive manufacturing through advanced simulations and experimental methods

🔬Awards:

Recipient of scholarships and academic recognition for research contributions in CAD and optimization.

Conclusion:

In conclusion, Dr. García-Donas is not only a prolific researcher but also a committed healthcare professional whose work has the potential to influence clinical practices significantly. Recognizing her contributions through the Research for Best Researcher Award would not only honor her achievements but also inspire continued excellence and innovation in the field of medicine.

Publications :

GLORIA GARCIA-DONAS GABALDON | Hematologist | Best Researcher Award

Posted on 30/10/202430/10/2024 by 21b4bddf87157652317827146367558f

Dr. GLORIA GARCIA-DONAS GABALDON | Hematologist | Best Researcher Award

Dr. GLORIA GARCIA-DONAS GABALDON, Servicio Andaluz de Salud SAS, Spain

Dr. Gloria Garcia-Donas Gabaldon is a medical professional affiliated with the Servicio Andaluz de Salud (SAS) in Spain. With expertise in her field, she is committed to providing high-quality healthcare and improving patient outcomes. Her work reflects a dedication to advancing medical practices and contributing to public health initiatives within the Andalusian healthcare system.

Summary:

Professional Profiles:

Google Scholar

🎓 Education :

Dr. García-Donas earned her Medical Degree from the University of Seville in 1995, followed by a specialization in Hematology and Hemotherapy in 2001 through the MIR program. She obtained her doctorate in 2008, with a thesis on the prevalence of the G20210A prothrombin mutation in thromboembolic disease, which received a “Cum Laude” distinction. Her academic foundation is reinforced by continuous professional development through numerous accredited courses.

🏢 Experience:

Dr. García-Donas has a diverse professional background, having worked across multiple hospitals in Andalusia, including her current position at Hospital U.V. Macarena in Seville since 2015. Her roles have included responsibilities in laboratory hematimetry and cytomorphology, as well as providing clinical care in various hematological conditions. Over her career, she has accrued significant experience managing anticoagulation therapy and immune thrombocytopenia, focusing on optimizing patient outcomes.

🛠️Skills:

Gloria García-Donas Gabaldón is an accomplished hematologist with extensive expertise in hematology, laboratory techniques, and clinical management. She specializes in oral anticoagulation therapy and immune thrombocytopenia, demonstrating proficiency in patient consultations and laboratory responsibilities. Her clinical acumen is complemented by her teaching and research skills, allowing her to effectively communicate complex concepts to peers and students.

Research Focus :

Her research interests center on thromboembolic disorders, immune thrombocytopenia, and hematological malignancies. She has contributed to the scientific community through various publications and presentations, focusing on genetic factors influencing thrombosis, treatment outcomes in hematological conditions, and novel therapeutic approaches in anticoagulation.

🔬Awards:

Dr. García-Donas has been recognized for her contributions to hematology, including awards for her research presentations at national and international conferences. Her work has significantly impacted clinical practices and treatment protocols, earning her respect within the medical community for her expertise and commitment to advancing the field of hematology.

Conclusion:

Publications :

García-Donas Gabaldón G. “Síndromes hemorrágicos más frecuentes en el niño.” Pediatr Integral 1998; 3(3): 294-302.
García-Donas Gabaldón G. “Prevalencia de los polimorfismos genéticos asociados a trombofilia en población sana del sur de España.” Med Clin (Barc) 2004 Apr 17; 122(14): 556-7.
García-Donas Gabaldón G. “Anemia hemolítica autoinmune causada por autoanticerpos IgA.” Med Clin (Barc) 2004 Nov 13; 123(17): 678.
García-Donas Gabaldón G. “Aplasia pura de serie roja asociada a leucemia linfoide crónica con respuesta favorable a rituximab.” Med Clin (Barc) 2005 Nov 19; 125(18): 717-8.
García-Donas Gabaldón G. “The influence of the age in the risk of the prothrombin G20210A mutation for spontaneous venous thrombosis.” Med Clin (Barc) 2007 May 5; 128(17): 652-4.
García-Donas Gabaldón G. “Capítulo 4.2.4 MPL y mielofibrosis.” In: Manual para el manejo de pacientes con MIELOFIBROSIS. March 2015. ISBN: 978-84-938864-8-6.
García-Donas Gabaldón G. “MIELOFIBROSIS Recomendaciones básicas para el diagnóstico, pronóstico y tratamiento.” March 2015. ISBN: 978-84-938864-7-9.
García-Donas Gabaldón G. “Prevalencia de la mutación de la protrombina G20210A en la enfermedad tromboembólica.” Thesis, May 2008.
Villegas A, Núñez R, Gaya A, Cuevas-Ruiz MV, García-Donas Gabaldón G. “Presence of acute and chronic renal failure in patients with paroxysmal nocturnal hemoglobinuria: results of a retrospective analysis from the Spanish PNH Registry.” Ann Hematol 2017 Oct; 96(10): 1727-1733. doi: 10.1007/s00277-017-3059-x.
Matarraz S, Leoz P, Fernández C, Colado E, Chillón MC, García-Donas Gabaldón G. “Basophil-lineage commitment in acute promyelocytic leukemia predicts for severe bleeding after starting therapy.” Mod Pathol 2018 Aug; 31(8): 1318-1331. doi: 10.1038/s41379-018-0038-2.
Mingot-Castellano ME, García-Candel F, Benítez-Hidalgo O, et al. “Activated prothrombin complex concentrate to treat bleeding events in acquired hemophilia A: BAHAS study.” Eur J Haematol 2022 Dec; 109(6): 686-695. doi: 10.1111/ejh.13853.
Jiménez-Bárcenas R, García-Donas Gabaldón G, Campos-Álvarez RM, et al. “Treatment with fostamatinib in patients with immune thrombocytopenia: Experience from the Andalusian region in Spain-The Fostasur Study.” Br J Haematol 2024 May; 204(5): 1977-1985. doi: 10.1111/bjh.19443.
González-López TJ, Bermejo-Vega N, Cardesa-Cabrera R, et al. “Fostamatinib effectiveness and safety for immune thrombocytopenia in clinical practice.” Blood 2024 Aug 8; 144(6): 646-656. doi: 10.1182/blood.2024024250.

Hanyang Wan | Image processing |Best Researcher Award

Posted on 30/10/2024 by 21b4bddf87157652317827146367558f

Mrs. Hanyang Wan | Image processing |Best Researcher Award

Mrs.Hanyang Wan,University of Electronic Science and Technology of China,China

Mrs. Hanyang Wan is affiliated with the University of Electronic Science and Technology of China, where she is actively involved in advancing research and education. Known for her expertise, Mrs. Wan contributes significantly to her field, fostering innovation and knowledge within the academic community in China.

Summary:

Dr. Peter Yongtao Wang exemplifies a leading researcher in big data, IoT, robotics, and intelligent platforms. His work has significantly impacted technological applications in security, automation, and smart systems on both a domestic and international scale. With leadership roles at top technology firms, he has shaped and implemented cutting-edge solutions, from intelligent buildings to secure cities, and has influenced industry standards through his participation in regulatory committees.

Professional Profiles:

Google Scholar

🎓 Education :

Ph.D. in Engineering,University of Leeds, UK
Dr. Wang holds a Ph.D. in Engineering from the University of Leeds, where his academic focus laid the groundwork for his career in automation, intelligent systems, and advanced software development.

🏢 Experience:

With over a decade of experience in software programming, platform design, and system solutions, Dr. Wang has worked on numerous domestic and international projects, focusing on intelligent buildings, safe cities, and smart cities. His leadership and technical skills have been instrumental in designing and deploying advanced solutions across various sectors. As a recognized expert, he serves as a member of the China Alarm and Monitoring Standardization Committee, where he has actively contributed to the development and review of industry and national standards

🛠️Skills:

Technical Expertise: Proficient in big data platforms, intelligent robotics, cloud computing, and IoT systems. Skilled in network design, integrated security platforms, and software automation.,Programming and Development: Advanced software programming, platform design, and system architecture.,Leadership and Strategy: Proven leadership experience with a focus on driving technology innovation and implementing large-scale solutions for smart cities and secure infrastructure.,Standards and Compliance: Active member of the China Alarm and Monitoring Standardization Committee, with significant experience in industry and national standard development.

Research Focus :

Dr. Wang’s research interests center on the intersection of big data, robotics, and IoT, with a particular focus on developing integrated platforms that enhance security, efficiency, and automation. His postdoctoral research at the University of Leeds, as well as his industry roles, emphasize his commitment to advancing technology in ways that address real-world challenges in urban safety and intelligent building solutions.

🔬Awards:

Dr. Wang’s contributions to intelligent systems and automation have been recognized through various awards, including distinctions from national committees and international organizations. His achievements in safe and smart city solutions have also garnered industry-wide respect and acknowledgment.

Conclusion:

Dr. Wang’s strong industry background, technical expertise, and leadership in intelligent systems make him a solid candidate for the Research for Best Researcher Award, especially if the award criteria value applied research and industry impact. For a competitive edge, showcasing any available publications, academic collaborations, or mentorship contributions could further demonstrate his influence as a researcher.

Publications :

Ultrasonic Spectroscopy Studies of Casein in Water”
Authors: MJW Povey, M Golding, D Higgs, Y Wang
Published in: International Dairy Journal, 1999, 9(3-6): 299-303
Citations: 38

“An Ultrasound Velocity and Attenuation Scanner for Viewing the Temporal Evolution of a Dispersed Phase in Fluids”
Authors: PV Nelson, MJW Povey, Y Wang
Published in: Review of Scientific Instruments, 2001, 72(11): 4234-4241
Citations: 27
“A Simple and Rapid Method for the Determination of Particle Size in Emulsions from Ultrasound Data”
Authors: Y Wang, MJW Povey
Published in: Colloids and Surfaces B: Biointerfaces, 1999, 12(3-6): 417-427
Citations: 22
Ultrasonic Studies of the Development of Flocculation in Mixed Sodium Caseinate and Tween 20 Emulsions”
Authors: C Ritzoulis, E Dickinson, MJW Povey, Y Wang
Published in: Trends in Colloid and Interface Science XV, 2001, 132-135
Citations: 3
“Development of an Intelligent Coal Production and Operation Platform Based on a Real-Time Data Warehouse and AI Model”
Authors: Y Wang, Y Feng, C Xi, B Wang, B Tang, Y Geng
Published in: Energies, 2024, 17(20): 5205
Citations: Not yet available

Peter Yongtao Wang | Deep Learning |Best Researcher Award

Posted on 28/10/202429/10/2024 by 21b4bddf87157652317827146367558f

Dr. Peter Yongtao Wang | Deep Learning |Best Researcher Award

Dr.Peter Yongtao Wang,Tianma technology (Beijing),China

Dr. Peter Yongtao Wang is a prominent figure at Tianma Technology in Beijing, China. With a strong background in advanced engineering and technological innovation, Dr. Wang has led numerous projects in fields like smart manufacturing and materials science. His expertise has significantly contributed to the advancement of Tianma’s technologies, especially in creating solutions that bridge the gap between traditional industries and digital transformation.

Summary:

Professional Profiles:

Google Scholar

🎓 Education :

🏢 Experience:

🛠️Skills:

Research Focus :

🔬Awards:

Conclusion:

Publications :

Ultrasonic Spectroscopy Studies of Casein in Water”
Authors: MJW Povey, M Golding, D Higgs, Y Wang
Published in: International Dairy Journal, 1999, 9(3-6): 299-303
Citations: 38

“An Ultrasound Velocity and Attenuation Scanner for Viewing the Temporal Evolution of a Dispersed Phase in Fluids”
Authors: PV Nelson, MJW Povey, Y Wang
Published in: Review of Scientific Instruments, 2001, 72(11): 4234-4241
Citations: 27
“A Simple and Rapid Method for the Determination of Particle Size in Emulsions from Ultrasound Data”
Authors: Y Wang, MJW Povey
Published in: Colloids and Surfaces B: Biointerfaces, 1999, 12(3-6): 417-427
Citations: 22
Ultrasonic Studies of the Development of Flocculation in Mixed Sodium Caseinate and Tween 20 Emulsions”
Authors: C Ritzoulis, E Dickinson, MJW Povey, Y Wang
Published in: Trends in Colloid and Interface Science XV, 2001, 132-135
Citations: 3
“Development of an Intelligent Coal Production and Operation Platform Based on a Real-Time Data Warehouse and AI Model”
Authors: Y Wang, Y Feng, C Xi, B Wang, B Tang, Y Geng
Published in: Energies, 2024, 17(20): 5205
Citations: Not yet available

NIKHAT PARVEEN | Machine Learning | Best Researcher Award

Posted on 10/07/202410/07/2024 by 21b4bddf87157652317827146367558f

Dr. NIKHAT PARVEEN | Machine Learning | Best Researcher Award

Dr, NIKHAT PARVEEN,KL University, India

Dr. Nikhat Parveen is a distinguished academic and researcher affiliated with KL University, India. She has an extensive background in her field, contributing significantly to both the academic and research communities. Dr. Parveen’s expertise spans various domains, and she is known for her dedication to advancing knowledge and fostering innovation.

Professional Profiles:

Google scholar

Education :

PhD in Computer Science, Integral University, Lucknow, 2017
Master of Computer Applications (M.C.A.), Andhra University, Visakhapatnam, 2003, 69.4%
Bachelor of Science in Computer Science (B.Sc.), Andhra University, Visakhapatnam, 2000, 62%
XII (Science), C.B.S.E, Visakhapatnam, 1997, 60.4%
X (Science), C.B.S.E, Visakhapatnam, 1995, 59.8%

Teaching Experience:

Associate Professor, KLEF, Vijayawada, Present
Resource Person, Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow, Aug 2018 – Nov 2018
Assistant Professor, School of Management Sciences, Sultanpur Road, Lucknow, Nov 2017 – Nov 2018
Lecturer, Sahara Arts & Management Academy, Lucknow, Aug 2006 – Jun 2011
Lecturer, Gyan Institute of Management and Technology, Lucknow, Sep 2004 – Aug 2006

Research Experience:

Research Scholar, Integral University, Lucknow, Sep 2011 – Feb 2017,Focus: Security Software, Addressing Security at Requirement Phase through Secure Requirement Specification Framework

Achievements and Recognition:

Certificate of Recognition, Business School of Delhi, 2010
Best Woman Faculty Award, Novel Research Academy, Puducherry, 2021
Best Woman Faculty Award, KLEF, 2021
Lifetime Member, Computer Society of India, Membership ID: 2010000595
Lifetime Member, ACM, Membership ID: 5619476
Associate Member, Universal Association of Computer and Electronics Engineers, Membership ID: AM101000583731

Publications :

“QoS-Aware Cloud Service Recommendation Using Metaheuristic Approach,” MDPI, Electronics, 2022
“CROSS-VERSION SOFTWARE FAULT DETECTION MODEL WITH AUTOMATIC DATA SELECTION,” Journal of Theoretical and Applied Information Technology, 2022
“Online employment portal architecture based on expert system,” Indonesian Journal of Electrical Engineering and Computer Science, 2022
“Equivalent mutant identification using hybrid wavelet convolutional rain optimization,” Software – Practice and Experience, 2022
“Testing coverage criteria for optimized deep belief network with search and rescue,” Journal of Big Data, 2021
“Quantify and alleviate OAuth approach token system exploiting by conspiracy lattice,” International Journal of System of Systems Engineering, 2021
“A Fuzzy Approach for Handling Relationship Between Security and Usability Requirements,” Advances in Intelligent Systems and Computing, 2021

International Conferences:

Numerous papers presented on security requirement frameworks and secure software engineering.