Machine Learning Contribution Award - ScienceFather

SASANK VVS |machine learning| Best Researcher Award

21b4bddf87157652317827146367558f — Wed, 27 Nov 2024 06:04:51 +0000

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

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NIKHAT PARVEEN | Machine Learning | Best Researcher Award

21b4bddf87157652317827146367558f — Wed, 10 Jul 2024 10:15:33 +0000

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.

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