SASANK VVS |machine learning| Best Researcher Award

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

 

MD. HUMAUN KABIR | Machine Learning| Best Researcher Award

Mr.MD. HUMAUN KABIR | Machine Learning| Best Researcher Award

Mr , MD. HUMAUN KABIR, Department of Computer Science and Engineering, Bangamata Sheikh Fojilatunnesa Mujib Science & Technology University,Bangladesh.

Mr. MD. Humaun Kabir is a distinguished faculty member in the Department of Computer Science and Engineering at Bangamata Sheikh Fojilatunnesa Mujib Science & Technology University, Bangladesh. He is dedicated to advancing computer science education and research, with a focus on cutting-edge technologies and innovations that drive the field forward. Through his commitment to academic excellence, Mr. Kabir continues to inspire and mentor the next generation of engineers and computer scientists.

Summary:

  • Achieved a high CGPA in both M.Sc. (3.88) and B.Sc. (3.82) in Engineering, indicating strong academic performance.
  • Consistently strong performance throughout academic life, with excellent results in HSC and SSC.

Professional Profiles:

Google Scholar

Education :

Md. Humaun Kabir completed his M.Sc. in Engineering with a specialization in Applied Physics and Electronic Engineering from the University of Rajshahi in 2015, earning an impressive CGPA of 3.88 on a 4.00 scale. He also holds a B.Sc. in Engineering from the same department, achieved in 2014, with a CGPA of 3.82 on a 4.00 scale. Prior to his university education, he excelled in his secondary and higher secondary studies, achieving a GPA of 5.00 in HSC from Police Line’s School & College, Kushtia (Jashore Board) in 2010, and a GPA of 4.94 in SSC from Patachora Secondary School, Chuadanga (Jashore Board) in 2008. Notably, on December 24, 2018, the Department of Applied Physics and Electronic Engineering was renamed to the Department of Electrical and Electronic Engineering.

Work Experience:

With a professional career spanning around seven years, Md. Humaun Kabir has served in multiple academic roles. He began as a Lecturer in the Department of Computer Science and Engineering at Pundra University of Science & Technology, Bogura, where he worked from May 23, 2017, to February 9, 2019. He then continued as a Lecturer at Bangamata Sheikh Fojilatunnesa Mujib Science & Technology University (BSFMSTU), Jamalpur, from February 10, 2019, to February 19, 2022. He was promoted to Assistant Professor at the same institution on February 20, 2022, and later took on the additional role of Chairman of the Department of Computer Science and Engineering on April 9, 2022. Additionally, he holds the position of Additional Director (In-charge) of the ICT Cell at BSFMSTU, where he has been serving since April 12, 2022.

Research Focus :

Md. Humaun Kabir’s research interests encompass a broad spectrum of topics, including Signal/Image Processing, Computer Vision, Brain-Computer Interfaces (BCI), Human-Computer Interaction (HCI), and Biomedical Engineering. He is also passionate about Wireless Communication & Networks, and his work extends into the realms of Machine Learning & Deep Learning. His research endeavors have led to several significant contributions to the field, with a focus on enhancing performance in BCI systems and improving wireless communication systems.

Skills:

Throughout his career, Md. Humaun Kabir has developed a robust technical skillset. He is proficient in programming languages such as MATLAB, Python, C, and C++, and has expertise in using LaTeX and Overleaf for academic writing. His technical repertoire is further enriched by his experience with the Internet of Things (IoT) and embedded systems, as well as networking knowledge gained through Cisco Certified Network Associate (CCNA) training.

 Awards:

Md. Humaun Kabir has been recognized for his outstanding academic and professional achievements. He received the prestigious Dean’s Award during both his B.Sc. and M.Sc. Engineering programs from the Faculty of Engineering at the University of Rajshahi. Additionally, he was awarded a Merit Scholarship from the University of Rajshahi for his academic excellence. His research excellence has been further acknowledged through his involvement in various government and university-funded research projects, including a current project on EEG-based motor imagery tasks classification for BCI systems.

Conclusion:

Md. Humaun Kabir demonstrates strong potential as a researcher, with a solid academic foundation, relevant research interests, and considerable teaching and administrative experience. However, to strengthen his candidacy for the Best Researcher Award, it would be beneficial to have a more robust record of research publications, greater international collaboration, and evidence of securing research funding. Addressing these areas could make him a more competitive candidate for the award.

Publications :

  • Title: Strain-driven optical, electronic, and mechanical properties of inorganic halide perovskite CsGeBr3
    Authors: MR Islam, MRH Mojumder, R Moshwan, ASMJ Islam, MA Islam
    Source: ECS Journal of Solid State Science and Technology, 11(3), 033001
    Year: 2022
    Citations: 42

 

  • Title: Investigating feature selection techniques to enhance the performance of EEG-based motor imagery tasks classification
    Authors: MH Kabir, S Mahmood, A Al Shiam, AS Musa Miah, J Shin, MKI Molla
    Source: Mathematics, 11(8), 1921
    Year: 2023
    Citations: 21

 

  • Title: Design of Rectangular Microstrip Patch Antenna at 3.3 GHz Frequency for S-band Applications
    Authors: MI Hossain, MT Ahmed, MH Kabir
    Source: International Journal of Engineering and Manufacturing, 12(4), 46-52
    Year: 2022
    Citations: 10

 

  • Title: Smart attendance and leave management system using fingerprint recognition for students and employees in academic institute
    Authors: MH Kabir, S Roy, MT Ahmed, M Alam
    Source: International Journal of Scientific & Technology Research, 10(6), 268-276
    Year: 2021
    Citations: 10

 

  • Title: IoT based solar powered smart waste management system with real-time monitoring – An advancement for smart city planning
    Authors: MH Kabir, S Roy, MT Ahmed, M Alam
    Source: Global Journal of Computer Science and Technology, 20(5), 11-20
    Year: 2020
    Citations: 9

 

  • Title: Gender Recognition of Bangla Names Using Deep Learning Approaches
    Authors: MH Kabir, F Ahmad, MAM Hasan, J Shin
    Source: Applied Sciences, 13(1), 522
    Year: 2022
    Citations: 7

 

  • Title: Secured voice frequency signal transmission in 5G compatible multiuser downlink MIMO NOMA wireless communication system
    Authors: MH Kabir, J Rahman, SE Ullah
    Source: International Journal of Networks and Communications, 8(4), 97-105
    Year: 2018
    Citations: 6

 

  • Title: A neural attention-based encoder-decoder approach for English to Bangla translation
    Authors: AA Shiam, SM Redwan, MH Kabir, J Shin
    Source: Computer Science Journal of Moldova, 91(1), 70-85
    Year: 2023
    Citations: 5

 

  • Title: Web-based student registration and exam form fill-up management system for educational institutes
    Authors: MT Ahmed, MH Kabir, S Roy
    Source: International Journal of Information Engineering and Electronic Business
    Year: 2022
    Citations: 5

 

  • Title: Design and implementation of web-based smart class routine management system for educational institutes
    Authors: S Roy, MH Kabir, MT Ahmed
    Source: International Journal of Educational Management Engineering, 12(2), 38-48
    Year: 2022
    Citations: 4

 

  • Title: A Methodological and Structural Review of Hand Gesture Recognition Across Diverse Data Modalities
    Authors: J Shin, ASM Miah, MH Kabir, MA Rahim, AA Shiam
    Source: arXiv preprint arXiv:2408.05436
    Year: 2024
    Citations: 1

 

  • Title: Design of a High-Gain 2× 1 Array Antenna for S-Band Applications
    Authors: MI Hossain, MA Islam, MT Ahmed, MH Kabir
    Source: World Journal of Engineering and Technology, 11(2), 293-302
    Year: 2023
    Citations: 1

 

 

 

Dr . Isha Batra | Machine leaning| Best Researcher Award

Dr . Isha Batra | Machine leaning| Best Researcher Award

Dr . Isha Batra ,Lovely Professional University,India

Dr. Isha Batra is a distinguished academic and researcher at Lovely Professional University, India. With extensive expertise in her field, she has made significant contributions to both teaching and research. Dr. Batra holds advanced degrees in her area of specialization and has been involved in numerous research projects, publications, and conferences. Her dedication to education and innovation is evident through her active participation in various academic and professional activities. At Lovely Professional University, Dr. Batra is committed to fostering a dynamic learning environment and advancing knowledge in her discipline

 

Professional Profiles:

Scopus

Orcid 

Profile:

A thermo-fluid research engineer specializing in single-phase/two-phase heat transfer design, refrigeration/air conditioning research with low GWP refrigerants, heat sink/cold plate design, product development for electronics cooling, and optimization of energy systems. Proven track record in delivering industry-university cooperation projects on time. Expertise in experimental works and designing solutions to sustainable energy problems in alignment with industry needs.

Education :

  • Ph.D. in Computer Science and Engineering
    Lovely Professional University, 2019
  • M.E. in Computer Science and Engineering
    PEC University of Technology, Chandigarh, 2010
  • B.Tech in Computer Science and Engineering
    JMIT Radaur, Kurukshetra University, 2008

Experience:

Lovely Professional University, Jalandhar, Punjab,Assistant Professor: 21/07/2010 – 03/12/2010,Associate Professor: 02/01/2013 – Till date,NIT Kurukshetra,Assistant Professor: 30/12/2010 – 18/12/2012

Research, Teaching, and Other Professional Interests:

  • Network and Security
  • Internet of Things (IoT)
  • Wireless Sensor Networks

Professional Honors and Awards:

  • Best Paper Award for “Performance Analysis of Data Mining Techniques in IoT” at the 4th International Conference on Computing Sciences, Feynman 100, Lovely Professional University, 2018
  • Teacher Appreciation Award from Lovely Professional University on Teacher’s Day, 2019

Publications :

  • Isha, Arun Malik, and Gaurav Raj. “Dos attacks on tcp/ip layers in wsn.” International Journal of Computer Networks and Communications Security 1, no. 2 (2013): 40-45.

 

  • Isha, Arun Malik, and Aditya Bakshi. “Spectrum Sensing Techniques in Cognitive Radio Based Sensor Networks: A Survey.” International Journal of Applied Engineering Research 10, no. 8 (2015): 19063-19076.

 

  • Neha, and Isha. “Analysis of Hybrid GPSR and Location Based Routing Protocol in VANET.” International Journal of Computer Science and Information Technologies 6, no. 1 (2015): 674-677.

 

  • Deepali, and Isha. “Analysis of Enhanced Request Response Detection Algorithm for Denial of Service Attack in VANET: A Review.” International Journal of Computer Science and Information Technologies 6, no. 1 (2015): 678-681.

 

  • Isha Batra, and Ashish Kr. Luhach. “Analysis of lightweight cryptographic solutions for Internet of Things.” Indian Journal of Science and Technology 9, no. 28 (2016).

 

  • Isha Batra, Ashish Kr Luhach, and Nisrag Pathak. “Research and analysis of lightweight cryptographic solutions for internet of things.” In Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies, p. 23. ACM, 2016.

 

  • Rohini Lohia, and Isha Batra. “Reputation based Proposed Scheme to Ensure Reliable Decision by Fusion Centre.” Indian Journal of Science and Technology 9, no. 44 (2016).

 

  • Isha, Ashish Kr. Luhach, and Rajeev Sobti. “Smart Inventory System Scenario Based on Internet of Things.” Far East Journal of Electronics and Communications (2016).

 

  • Isha Batra, Ashish Kr. Luhach, and Sumit Kumar. “Layer Based Security in Internet of Things: Current Mechanisms, Prospective Attacks, and Future Orientation.” International Conference on Smart Trends for Information Technology and Computer Communications, pp. 896-903. Springer, Singapore, 2016.

 

  • Rohini Lohia, Isha, and Arun Malik. “Comparative study of security threats in cognitive radio networks.” International Journal of Control Theory and Applications 9, no. 41 (2016): 443-453. …

 

  • Tanima Thakur, Isha Batra, Arun Malik, Deepak Ghimire, Seong-Heum Kim, ASM Sanwar Hosen. “RNN-CNN Based Cancer Prediction Model for Gene Expression.” IEEE Access, 2023.

 

  • Ved Prakash Chaubey, Shamneesh Sharma, Aman Kumar, Arun Malik, Praveen Chaudhary, and Isha Batra. “Role of IoT in Revolutionizing Smart Agriculture Systems: A Comprehensive Review.” Future Generation Computer Systems, 2023.

 

 

 

 

 

 

NIKHAT PARVEEN | Machine Learning | Best Researcher Award

 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 :

  1. “QoS-Aware Cloud Service Recommendation Using Metaheuristic Approach,” MDPI, Electronics, 2022
  2. “CROSS-VERSION SOFTWARE FAULT DETECTION MODEL WITH AUTOMATIC DATA SELECTION,” Journal of Theoretical and Applied Information Technology, 2022
  3. “Online employment portal architecture based on expert system,” Indonesian Journal of Electrical Engineering and Computer Science, 2022
  4. “Equivalent mutant identification using hybrid wavelet convolutional rain optimization,” Software – Practice and Experience, 2022
  5. “Testing coverage criteria for optimized deep belief network with search and rescue,” Journal of Big Data, 2021
  6. “Quantify and alleviate OAuth approach token system exploiting by conspiracy lattice,” International Journal of System of Systems Engineering, 2021
  7. “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.