Dr.N Shirisha | Computer Science | Women Researcher Award

Published on by Global Scholar Awards

Mrs. Dr.N Shirisha | Computer Science | Women Researcher Award

Associate Professor at MLR Institute of Technology, India

Dr. Shirisha Nalla is a distinguished researcher and academic with a robust profile characterized by innovative research contributions, technological expertise, and a passion for advancing software engineering. Her career is highlighted by numerous high-quality publications in internationally recognized journals and conferences. She has made significant strides in diverse research areas including quantum key distribution, cloud security, IoT applications, and deep learning, which have led to multiple patents and innovative solutions. Dr. Nalla’s interdisciplinary approach and commitment to excellence are evident from her consistent record of first-class academic achievements and leadership roles in various academic and research initiatives. Her work not only bridges theoretical advancements and practical implementations but also supports student development and departmental growth. Driven by curiosity and determination, she continues to explore emerging technologies and foster a collaborative research environment that inspires peers and students alike. Her impressive track record and dedication mark her as an influential leader.

Professional Profile 

Education

Dr. Shirisha Nalla has established a strong academic foundation through exemplary performance at every stage of her education. She earned her Ph.D. from K L University in 2021, following her M.Tech in Software Engineering from DRK Institute Of Science & Technology, affiliated with Jawaharlal Nehru Technological University, where she excelled with First Class Distinction during 2010-2012. Earlier, she completed her B.Tech in Computer Science & Engineering from Malla Reddy Institute of Technology & Science under JNTU in 2005-2009, again graduating with First Class Distinction. Her formative years were marked by consistent excellence in academics, as she secured First Class Distinction in Intermediate studies and her 10th class examinations. Each milestone of her education reflects a commitment to rigorous study, technical proficiency, and intellectual curiosity, laying the groundwork for a career in research and software development. Her academic achievements are a testament to her discipline, resilience, and lifelong pursuit of knowledge.

Professional Experience

Dr. Shirisha Nalla brings over a decade of teaching and research experience to her academic career. She has served as an Associate Professor at Malla Reddy Institute of Technology & Science for more than 10.5 years, contributing significantly to curriculum development, research mentorship, and departmental leadership. Prior to this role, she gained valuable experience as an Assistant Professor at multiple institutions, including one year at SMEC, one year at NNRG, and three years at DRK Institute Of Science & Technology. In these roles, she has taught a wide range of subjects including mobile application development, operating systems, big data analytics, and machine learning, among others. Her professional journey is marked by a commitment to academic excellence, innovative teaching methods, and active participation in research projects, hackathons, and technology initiatives, which have enriched her pedagogical approach and furthered her impact on the academic community. Her experience continues to inspire academic innovation.

Research Interest

Dr. Shirisha Nalla’s research interests lie at the intersection of cybersecurity, big data analytics, and advanced machine learning techniques. Her work focuses on developing robust security mechanisms for cloud and IoT environments, including innovative applications of quantum key distribution and cryptographic protocols to safeguard data transmission. She also explores the integration of blockchain with federated learning in vehicular networks, and designs intelligent systems for healthcare applications such as smart medical devices and EHR analytics. Additionally, her interests extend to deep learning applications for sign language conversion, automated machine learning using MLOps, and predictive modeling in areas like weather forecasting and real estate valuation. This interdisciplinary approach bridges theoretical advancements with practical implementations, driving innovation across multiple high-impact domains. Her research not only enhances the security and efficiency of digital systems but also paves the way for scalable and intelligent solutions in modern technology.

Awards and Honors

Dr. Shirisha Nalla has consistently received recognition for her academic excellence and innovative contributions in the field of software engineering and research. Her distinguished academic record, underscored by First Class with Distinction achievements at every educational milestone, reflects her unwavering commitment to excellence. Beyond academics, her numerous patents and high-quality publications in reputed journals and international conferences stand as a testament to her pioneering work. Dr. Nalla’s accolades include certifications such as the IUCEE Phase-I and several elite SWAYAM-NPTEL credentials, highlighting her advanced proficiency in emerging technologies. These honors underscore not only her technical expertise but also her ability to translate research into practical, real-world solutions. Her achievements continue to serve as a motivational beacon for emerging researchers, setting exemplary standards nationwide and inspiring both peers and students to pursue innovative and impactful research.

Research Skills

Dr. Shirisha Nalla exhibits a broad spectrum of research skills that have propelled her to the forefront of her discipline. With expertise in programming languages including R, C, C++, Java, and Python, she adeptly develops complex algorithms and software solutions to address modern challenges. Her proficiency extends to various scripting languages and database management systems, allowing her to harness large datasets for insightful analysis and model development. Dr. Nalla is well-versed in advanced methodologies such as deep learning, machine learning, and MLOps, as evidenced by her prolific publication record and patented innovations. Her interdisciplinary approach enables effective integration of cybersecurity, big data, and IoT applications. Furthermore, her hands-on experience in real-world projects, combined with her academic teaching, has refined her analytical and problem-solving skills, fostering a culture of continuous learning and innovation. This balance of technical expertise and creative research acumen underlines her significant contributions to the field.

Conclusion

Dr. Shirisha Nalla’s profile demonstrates a high level of academic excellence, a prolific and diversified research output, and a strong commitment to innovation and mentorship. These attributes make her an excellent candidate for the Women Researcher Award. While further emphasis on measurable impact and interdisciplinary outreach could enhance her profile even more, her overall contributions to software engineering and related fields stand out as both influential and inspiring.

Publications Top Noted

  • Implementation of an smart waste management system using IoT
    • Authors: P Haribabu, SR Kassa, J Nagaraju, R Karthik, N Shirisha, M Anila
    • Year: 2017
    • Citations: 50

  • K-Anonymization approach for privacy preservation using data perturbation techniques in data mining
    • Authors: A Kiran, N Shirisha
    • Year: 2022
    • Citations: 29

  • IoT based Smart Door lock system
    • Authors: G Sowmya, GD Jyothi, N Shirisha, K Navya, B Padmaja
    • Year: 2018
    • Citations: 24

  • The association between psychological stress and recurrent aphthous stomatitis among medical and dental student cohorts in an educational setup in India
    • Authors: AK Rao, S Vundavalli, NR Sirisha, CH Jayasree, G Sindhura, D Radhika
    • Year: 2015
    • Citations: 21

  • HEECCNB: An efficient IoT-cloud architecture for secure patient data transmission and accurate disease prediction in healthcare systems
    • Authors: C Veena, M Sridevi, KKS Liyakat, B Saha, SR Reddy, N Shirisha
    • Year: 2023
    • Citations: 18

  • IoT based air pollution monitoring system
    • Authors: K Nirosha, B Durgasree, N Shirisha
    • Year: 2017
    • Citations: 10

  • Authorization of data in hadoop using apache sentry
    • Authors: N Sirisha, KV Kiran
    • Year: 2018
    • Citations: 9

  • IoT-based data quality and data preprocessing of multinational corporations
    • Authors: N Sirisha, M Gopikrishna, P Ramadevi, R Bokka, KVB Ganesh, …
    • Year: 2023
    • Citations: 8

  • Stock exchange analysis using Hadoop user experience (Hue)
    • Authors: N Sirisha, KVD Kiran
    • Year: 2017
    • Citations: 8

  • Oral health related quality of life among special community adult population with low socioeconomic status residing in Guntur city, Andhra Pradesh: A cross-sectional study
    • Authors: NR Sirisha, P Srinivas, S Suresh, T Devaki, R Srinivas, BV Simha
    • Year: 2014
    • Citations: 7

  • Efficient automation using DTMF
    • Authors: SK Shareef, N Shirisha
    • Year: 2020
    • Citations: 6

  • Recent investigation on fuels, EV and hybrid electrical vehicles impacts on pollution control techniques and predictions using IOT technology
    • Authors: N Sirisha, B Cherukuru, VSS Ganni, MA Reddy
    • Year: 2021
    • Citations: 5

Jawad Ali | Engineering | Best Researcher Award

Published on by Global Scholar Awards

Mr. Jawad Ali | Engineering | Best Researcher Award

Ph.D. Researcher at High Frequency Systems Laboratory, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand

Mr. Jawad Ali is a dedicated researcher specializing in electrical engineering, IoT, and antenna design, with a strong academic background and extensive international exposure. He holds a Ph.D. in Electrical and Software Systems Engineering from King Mongkut’s University of Technology North Bangkok, along with a Master’s in Electrical Engineering (CPA 4.00/4.00) from UTHM Malaysia. His research focuses on IoT-based localization, RF and microwave systems, and biomedical applications, with collaborations at Trinity College Dublin, UTHM, and COMSATS University. Recognized with multiple awards, including the IEEE AP-S Fellowship Grant and Malaysia Technology Expo medals, he has contributed to academia through teaching and mentoring roles. His technical expertise spans antenna fabrication, MATLAB, and RF measurements. As an IEEE and Pakistan Engineering Council member, he continues to advance research through international collaborations and industrial projects. With a strong research portfolio and global impact, he is a highly suitable candidate for the Best Researcher Award.

Professional Profile 

Education

Mr. Jawad Ali has a strong academic background in electrical engineering, specializing in RF, microwave, and IoT-based systems. He is currently completing his Ph.D. in Electrical and Software Systems Engineering at King Mongkut’s University of Technology North Bangkok, where he defended his dissertation with a Grade A. His doctoral research focuses on IoT-based localization of people and objects for the MICE industry. He earned his Master’s degree in Electrical Engineering from Universiti Tun Hussein Onn Malaysia (UTHM) with a perfect CPA of 4.00/4.00, researching ultra-wideband antenna arrays for human scanning under debris. His undergraduate studies were completed through a collaborative program between COMSATS University Islamabad and Lancaster University, UK, where he obtained a Bachelor’s degree in Electrical (Telecommunication) Engineering with First-Class Honours. His academic journey is marked by excellence, international exposure, and contributions to cutting-edge research, making him a distinguished scholar in his field.

Professional Experience

Mr. Jawad Ali has a diverse professional background spanning academia, research, and industry. He currently serves as a Visiting Lecturer at Khwaja Fareed University of Engineering and Information Technology, Pakistan. Previously, he was a Ph.D. Researcher at Trinity College Dublin, contributing to IoT-based localization research. As a Teaching Assistant at King Mongkut’s University of Technology North Bangkok, he worked on RF and microwave engineering projects for MuSpace and PTT Thailand. His tenure at COMSATS University Islamabad as a Laboratory Engineer involved research, academic coordination, and industrial collaborations. Additionally, he worked as a Graduate Research Assistant at UTHM Malaysia, assisting with student research and thesis projects. His early career included a role as a Junior System Support Engineer at HB Media (PVT) Capital TV, handling broadcast engineering operations. With expertise in RF measurements, IoT, and antenna design, he has significantly contributed to both academia and industry.

Research Interest

Mr. Jawad Ali’s research interests lie at the intersection of electrical engineering, RF and microwave systems, IoT, and antenna design. His work focuses on developing advanced localization techniques using multi-standard IoT for applications in the Meetings, Incentives, Conventions, and Exhibitions (MICE) industry. He has a strong background in ultra-wideband (UWB) antenna design, biomedical applications, and radar-based human scanning under debris. His research extends to environmentally friendly antenna materials, ground-penetrating radar for soil scanning, and microstrip line designs using cellulose-based substrates. Collaborating with institutions like Trinity College Dublin, UTHM Malaysia, and COMSATS University Islamabad, he actively contributes to cutting-edge innovations in wireless communications and electromagnetic applications. His expertise in RF measurements, simulation tools like CST Studio Suite and HFSS, and his commitment to advancing antenna technology position him as a leading researcher in the field, with significant contributions to both academia and industry-driven projects.

Award and Honor

Mr. Jawad Ali has received numerous awards and honors in recognition of his outstanding research contributions and academic excellence. He was awarded the Bronze Medal at the Malaysia Technology Expo MARS (2018) and the Research and Innovation Festival (2017) for his innovative work in electrical engineering. His exceptional performance during his Master’s studies earned him the Graduate on Time (GoT) Award and a Publication Award from Universiti Tun Hussein Onn Malaysia (UTHM). He was also a recipient of the prestigious UTHM Scholarship Award. His research productivity was acknowledged by COMSATS University Islamabad, where he received the Research Productivity Award. Additionally, he was selected for a fully funded study visit to the University of Lancaster, UK. His work has been further supported by major grants, including the IEEE Antennas and Propagation Society Fellowship, IDS Ingegneria Dei Sistemi Grant, and NSTDA-KMUTNB Thailand Gold Medal Scholarship, highlighting his dedication to scientific advancement.

Research Skill

Mr. Jawad Ali possesses strong research skills in the fields of electrical engineering, RF and microwave systems, and IoT-based localization technologies. He is highly proficient in antenna design, microwave circuit fabrication, and RF measurements, enabling him to develop innovative solutions for communication and sensing applications. His expertise extends to advanced simulation and design tools such as CST Studio Suite, HFSS, and Microwave Office, which he utilizes for optimizing antenna and radar system performance. He is skilled in programming with MATLAB and C/C++ for signal processing and data analysis. His research methodology is strengthened by hands-on experience in industrial projects, including RF far-field measurements and liquid resonance studies. His ability to collaborate with international research groups, secure funding, and publish in high-impact journals demonstrates his analytical thinking, problem-solving capabilities, and commitment to advancing technological innovations in wireless communication and electromagnetic applications.

Conclusion

Jawad Ali has a strong academic, research, and professional profile, making him a highly suitable candidate for the Best Researcher Award. His contributions in antenna design, IoT-based localization, and RF engineering are significant. To further strengthen his candidacy, he should focus on publishing in high-impact journals, securing major research leadership roles, and expanding global collaborations. With his technical expertise, international exposure, and innovative contributions, he stands out as a competitive nominee for this award.

Publications Top Noted

  1. Metasurface-Loaded Biodegradable Mobile Phone Back Cover for Enhanced Radiation Performance

    • Authors: Juin Acharjee, Jawad Ali, Muhammad Uzair, Thipamas Phakaew, Prayoot Akkaraekthalin, Yaowaret Maiket, Rungsima Yeetsorn, Suramate Chalermwisutkul
    • Year: 2025
    • DOI: 10.3390/ma18040730

  2. Low-Cost Indoor Localization Using Dual-Chip RFID Tag

    • Authors: Jawad Ali, Kamol Kaemarungsi, Thipamas Phakaew, Muhammad Uzair, Adam Narbudowicz, Suramate Chalermwisutkul
    • Year: 2024
    • DOI: 10.1109/OJAP.2024.3372030

  3. Enhancement of Radio Frequency Identification Coverage for Various Indoor Scenarios Using Diversified Radiation Patterns of Tag and Reader Antennas

  4. Dual-Chip RFID Tag for Enhanced Indoor Localization of IoT Assets

  5. Optimization of Planar Capacitive Sensors Embedded Between Two 6mm Thick Glass Sheets

  6. Post-Design Modifications for Impedance Matching of UHF RFID Tag Antenna

  7. Dual-Chip UHF RFID Tag Antenna for Distinction of Movement Directions

  8. Modeling and Design of Enhanced All Optical Signal Regeneration Technique

  9. Antenna Design Using UWB Configuration for GPR Scanning Applications

  10. Design a Compact Square Ring Patch Antenna with AMC for SAR Reduction in WBAN Applications

Cinzia Battistella | Business, Management and Accounting | Best Paper Award

Published on by Global Scholar Awards

Prof. Cinzia Battistella | Business, Management and Accounting | Best Paper Award

Associate professor at University of Udine, Italy

Cinzia Battistella is an Associate Professor of Management Engineering at the University of Udine, specializing in innovation management, strategic foresight, and business ecosystems. She holds a Ph.D. in Management Engineering from the University of Padua and has an extensive academic career, having previously served at the University of Siena and the Free University of Bozen-Bolzano. With over 100 international publications, including books like Corporate Foresight and The Road to Servitization, she has made significant contributions to her field. She has managed multiple research projects, collaborated with major corporations like Telecom Italia and Vodafone, and supervised numerous Ph.D. students and researchers. Battistella is actively involved in academic quality assurance and serves as an expert in management engineering for the Friuli Venezia Giulia Region’s recovery plan. Her multilingual proficiency and leadership in international research initiatives further establish her as a prominent figure in economic and management engineering.

Professional Profile

Education

Cinzia Battistella holds a Ph.D. in Management Engineering from the University of Padua, where she developed expertise in innovation management, strategic foresight, and business ecosystems. She completed her undergraduate and master’s studies in Management Engineering, laying a strong foundation in industrial management, technology innovation, and business strategy. Throughout her academic journey, she has pursued continuous learning through specialized courses and international research collaborations, enhancing her knowledge in foresight methodologies, open innovation, and servitization. Her educational background has enabled her to contribute significantly to academia, with teaching and research positions at institutions such as the University of Udine, the Free University of Bozen-Bolzano, and the University of Siena. Her interdisciplinary education and research experience have positioned her as a key figure in management engineering, allowing her to collaborate with global institutions, supervise doctoral students, and participate in high-impact research projects that bridge theory and practical application in industrial innovation.

Professional Experience

Cinzia Battistella is an accomplished researcher and academic in the field of management engineering, specializing in innovation management, strategic foresight, and business ecosystems. She has held research and teaching positions at prestigious institutions, including the University of Udine, the Free University of Bozen-Bolzano, and the University of Siena. Her professional experience spans interdisciplinary research, where she has collaborated with international scholars and industry partners to explore emerging trends in technology and business strategy. She has played a pivotal role in European-funded research projects, focusing on foresight methodologies, open innovation, and servitization. As an educator, she has mentored graduate and doctoral students, integrating research insights into her teaching. Her expertise has led to significant contributions in academic publications and industry reports, bridging the gap between theoretical advancements and practical applications. Through her extensive research, consulting, and academic leadership, she continues to influence the fields of innovation and strategic management.

Research Interest

Cinzia Battistella’s research interests revolve around innovation management, strategic foresight, and business ecosystems. She explores how organizations anticipate future trends and adapt to technological advancements through foresight methodologies and scenario planning. Her work delves into open innovation, examining how firms collaborate with external partners to enhance competitiveness and drive technological progress. She is particularly interested in servitization, studying how manufacturing companies transition from product-based to service-oriented business models. Additionally, her research covers knowledge management, investigating how organizations create, share, and utilize knowledge to foster innovation. She has contributed to studies on decision-making processes in complex environments, emphasizing the role of digital transformation in shaping business strategies. Through interdisciplinary collaborations and participation in European research projects, she has advanced the understanding of sustainable innovation, digital ecosystems, and industry evolution. Her contributions bridge academia and practice, offering valuable insights into the dynamic nature of innovation and strategic management.

Research Skill

Cinzia Battistella possesses a strong research skillset that spans multiple disciplines within management engineering, innovation management, and strategic foresight. She is highly proficient in qualitative and quantitative research methodologies, employing techniques such as case studies, surveys, bibliometric analysis, and data-driven decision-making. Her expertise in scenario analysis and technology forecasting enables her to anticipate industry trends and guide organizations in strategic planning. She is adept at systematic literature reviews and meta-analyses, which she uses to synthesize knowledge and identify emerging research gaps. Her ability to collaborate across academic and industry sectors enhances her interdisciplinary research approach, particularly in open innovation, organizational resilience, and future-oriented decision-making. Battistella’s skills in project management and grant writing have also facilitated successful research funding and collaborations. Through her analytical capabilities and methodological rigor, she continues to contribute valuable insights to the fields of innovation strategy and technology management.

Conclusion

Cinzia Battistella is a highly suitable candidate for the Best Paper Award, given her strong academic credentials, impactful research contributions, and leadership in innovation management. Strengthening the application with citation metrics, industry implementation outcomes, and prior research awards would further solidify her case.

Publications Top Noted

  • Title: Corporate foresight: an emerging field with a rich tradition
    Authors: R. Rohrbeck, C. Battistella, E. Huizingh
    Year: 2015
    Citations: 508
  • Title: Product service system: A conceptual framework from a systematic review
    Authors: A. Annarelli, C. Battistella, F. Nonino
    Year: 2016
    Citations: 506
  • Title: Cultivating business model agility through focused capabilities: A multiple case study
    Authors: C. Battistella, A.F. De Toni, G. De Zan, E. Pessot
    Year: 2017
    Citations: 347
  • Title: Inter-organisational technology/knowledge transfer: a framework from critical literature review
    Authors: C. Battistella, A.F. De Toni, R. Pillon
    Year: 2016
    Citations: 322
  • Title: Methodology of business ecosystems network analysis: A case study in Telecom Italia Future Centre
    Authors: C. Battistella, K. Colucci, A.F. De Toni, F. Nonino
    Year: 2013
    Citations: 243
  • Title: From design driven innovation to meaning strategy
    Authors: C. Battistella, G. Biotto, A.F. De Toni
    Year: 2012
    Citations: 235
  • Title: Open accelerators for start-ups success: a case study
    Authors: C. Battistella, A.F. De Toni, E. Pessot
    Year: 2017
    Citations: 185
  • Title: Open innovation web-based platforms: The impact of different forms of motivation on collaboration
    Authors: C. Battistella, F. Nonino
    Year: 2012
    Citations: 181
  • Title: The organisation of Corporate Foresight: A multiple case study in the telecommunication industry
    Authors: C. Battistella
    Year: 2014
    Citations: 164
  • Title: A methodology of technological foresight: A proposal and field study
    Authors: C. Battistella, A.F. De Toni
    Year: 2011
    Citations: 140
  • Title: Exploring the impact of motivations on the attraction of innovation roles in open innovation web-based platforms
    Authors: C. Battistella, F. Nonino
    Year: 2012
    Citations: 98
  • Title: Sustainable business models of SMEs: Challenges in yacht tourism sector
    Authors: C. Battistella, M. Cagnina, L. Cicero, N. Preghenella
    Year: 2018
    Citations: 93
  • Title: What drives collective innovation? Exploring the system of drivers for motivations in open innovation, Web-based platforms
    Authors: C. Battistella, F. Nonino
    Year: 2012
    Citations: 72
  • Title: The Extended Map methodology: Technology roadmapping for SMEs clusters
    Authors: C. Battistella, A.F. De Toni, R. Pillon
    Year: 2015
    Citations: 63
  • Title: A Methodology for the assessment of experiential learning lean: The Lean Experience Factory case study
    Authors: G. De Zan, A.F. De Toni, A. Fornasier, C. Battistella
    Year: 2015
    Citations: 63