Fan Yang | Machine learning | Best Researcher Award

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Dr. Fan Yang | Machine learning | Best Researcher Award

Dr. Fan Yang | Qinghai Normal University | China

Dr. Fan Yang, Ph.D., is an Associate Professor in the School of Computer Science at Qinghai Normal University, recognized for his expanding contributions to human–machine systems and artificial intelligence. He has developed a strong academic profile with multiple peer-reviewed publications in high-impact journals and internationally respected conferences, reflecting his growing influence in intelligent interaction and adaptive computational technologies. His background includes advanced training in computer science with a research emphasis on intelligent human–machine collaboration and adaptive AI modeling. In his current role, he teaches core subjects in artificial intelligence and interactive systems while supervising graduate research and contributing to national and provincial research initiatives. His research interests span intelligent interaction, AI-driven decision technologies, adaptive computational models, and integrated human–machine environments, with a focus on connecting machine intelligence to real-world human behavior. His early achievements, impactful research output, and contributions to cutting-edge AI technologies have earned him recognition within the research community and position him as a competitive candidate for prestigious research awards.

Profile: ORCID

Featured Publications

Yang, F. “Adaptive human–machine interaction using deep attention models.” IEEE Transactions on Human–Machine Systems. — Cited by 12.

Yang, F. “Multi-agent reinforcement learning for human-centered AI.” ACM CHI Conference. — Cited by 8.

Yang, F. “Cognitive-driven robot collaboration under dynamic environments.” Robotics and Autonomous Systems. — Cited by 15.

Yang, F. “Real-time interaction modeling using hybrid deep networks.” Neurocomputing. — Cited by 20.

Yang, F. “Intelligent behavior prediction in human–machine teams.” IEEE ICMLA Conference. — Cited by 5.

pellakuri vidyullatha | Computer Vision | Excellence in Research

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Dr .pellakuri vidyullatha | Computer Vision | Excellence in Research

Associate Professor, Koneru Lakshmaiah Education Foundation, India

🔬 Short Biography 🌿💊📚

Dr. Pellakuri Vidyullatha is an Associate Professor in the Department of Computer Science and Engineering at Koneru Lakshmaiah Education Foundation (K L Deemed-to-be University), India. She holds a Ph.D. in Computer Science, with her research centered on advanced topics in artificial intelligence, machine learning, data mining, and neural networks. Dr. Vidyullatha has contributed extensively to the field through numerous research publications, particularly focusing on applications of deep learning and image segmentation techniques, including recent work on gastrointestinal tract imaging. She is also actively involved in guiding postgraduate and doctoral students, playing a significant role in academic mentorship and research supervision at the university. Her commitment to quality teaching and impactful research has earned her recognition within the academic community. Dr. Vidyullatha continues to advance knowledge in computational intelligence, contributing to both theoretical developments and practical innovations in AI and data science.

Profile

Orcid

Scopus

🎓 Education

Dr. Pellakuri Vidyullatha holds dual Post-Doctoral Fellowships in Artificial Intelligence—from the University of South Florida, USA (2023–2025) under Dr. Bhuvan Unhelkar, and the Industrial University of Ho Chi Minh City, Vietnam (2022–2023) under Dr. Bui Thanh Hung. She earned her Ph.D. in Computer Science and Engineering from Koneru Lakshmaiah Education Foundation in 2017, after completing her M.Tech in Computer Science and Technology with distinction (82%) from JNTU Anantapur in 2012. Her educational background is deeply rooted in AI, machine learning, and data science, with a continuous commitment to advancing academic excellence and research acumen.

💼 Professional Experience

With over 20 years of academic and research experience, Dr. Vidyullatha is currently an Associate Professor in the Department of Computer Science Engineering at KL University, Andhra Pradesh, since 2017. Prior to that, she served as Assistant Professor at Narayana Engineering College (2006–2017). She has also completed prestigious postdoctoral fellowships in the USA and Vietnam, focusing on computer vision, deep learning, and natural language processing. Dr. Vidyullatha has successfully organized and contributed to numerous international conferences, workshops, and faculty development programs, and she has played key roles in NAAC, NBA, and NIRF-related institutional development.

🛠️ Skills and Editorial Roles

Dr. Vidyullatha specializes in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Quantum Machine Learning, and Big Data Analytics. She is proficient in tools like Python, TensorFlow, Keras, PyTorch, Tableau, and the Hadoop ecosystem. Her pedagogical strengths include flipped learning, inquiry-based learning, project-based learning, and collaborative instruction models. She also holds numerous global certifications from platforms such as Google Cloud, Microsoft Azure, Oracle, and Cisco Networking Academy, and actively participates in global AI challenges on Kaggle and TechGig.

🏅 Awards and Recognition

Dr. Vidyullatha is a multi-award-winning academic, recognized with honors such as the Best Teacher Award (2021–2023) by KL University, Dr. Sarvepalli Radhakrishnan Best Teacher Award, Inspiring Women Award (2023), and the Outstanding Post Doctoral Fellow Award (2023) by Novel Research Academy. She has been appreciated as a keynote speaker, technical session chair, and guest lecturer at various national and international platforms. She also serves as a reviewer for IEEE, InderScience, IJIRST, and other reputed journals and conferences.

Research Focus

Dr. Vidyullatha’s research is centered on advanced AI systems, deep learning models, computer vision, and NLP applications in healthcare, agriculture, and cybersecurity. Her work also spans big data analytics, graph-based algorithms, and recommender systems. With over 72 SCOPUS-indexed publications, 480 citations, and an h-index of 10, she has significantly contributed to scholarly literature. Her most recent works include topics such as emoji-based sentiment analysis, cancer prediction using AI, blockchain communication in IoT, and optimized machine learning models for image segmentation and information retrieval.

🏁conclusion:

In conclusion, Dr. Pellakuri Vidyullatha is highly deserving of the “Excellence in Research” Award. Her commitment to advancing cutting-edge technologies, mentoring future talent, and contributing to the global research community reflects the very essence of this award. With minor enhancements in high-impact publications and funded projects, her profile would be even more formidable on a global scale.

Chaohai Liu | metal bending | Best Researcher Award

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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

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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:

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 :

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:

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 :
  • 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

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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

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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:

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

NIKHAT PARVEEN | Machine Learning | Best Researcher Award

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 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.