Katarzyna Ragin-Skorecka | Process Analysis | Best Researcher Award

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Ms. Katarzyna Ragin-Skorecka | Process Analysis | Best Researcher Award

Assistant Professor at Poznan University of Technology, Poland

Summary:

Ms. Katarzyna Ragin-Skorecka is an Assistant Professor at the Faculty of Management Engineering at Poznań University of Technology, where she oversees the Laboratory of Management Information Systems and leads the eLearning Team. She manages the didactic project for the Smart Factory 4.0 Laboratory at FEM PUT and is responsible for the accreditation of IPMA Student at FEM PUT. Ms. Ragin-Skorecka holds a degree in Management and Marketing with a specialization in Business Management, a doctoral degree in corporate identity, a European Logistics Certificate, and postgraduate studies in research and development project management. She has authored or co-authored over 70 scientific publications, with research interests focusing on process analysis and the integration of ICT solutions in business management. Her teaching emphasizes practical skills grounded in scientific knowledge, covering information systems, process

Profile:

Education:

Ms. Katarzyna Ragin-Skorecka holds a degree in Management and Marketing with a specialization in Business Management from the Faculty of Mechanical Engineering and Management at Poznań University of Technology. In 2010, she successfully defended her doctoral dissertation on corporate identity. She also possesses a European Logistics Certificate and has completed postgraduate studies in research and development project management.

Professional Experience:

Ms. Katarzyna Ragin-Skorecka has extensive professional experience in academia and industry. She is an Assistant Professor at the Faculty of Management Engineering at Poznań University of Technology, where she oversees the Laboratory of Management Information Systems and leads the eLearning Team. Additionally, she manages the didactic project for the Smart Factory 4.0 Laboratory at FEM PUT and is responsible for the accreditation of IPMA Student at FEM PUT. Her academic journey includes earning a degree in Management and Marketing with a specialization in Business Management, defending her doctoral dissertation on corporate identity in 2010, obtaining a European Logistics Certificate, and completing postgraduate studies in research and development project management. Ms. Ragin-Skorecka has authored or co-authored over 70 scientific publications, focusing her research on process analysis and the integration of ICT solutions in business management. In her teaching role, she emphasizes practical skills grounded in robust scientific knowledge, covering topics such as information systems, process and project management in enterprises, and the integration of various business areas from the perspective of a business/systems analyst.

Research Interests:

Ms. Katarzyna Ragin-Skorecka’s research interests are centered on process analysis and the integration of ICT solutions in business management. She is particularly focused on the digitalization of processes, e-procurement, and the application of IT in project management. Her work involves developing models for digital procurement processes, which have been adopted by various organizations. Additionally, she collaborates with IT industry companies to explore and implement innovative IT solutions within enterprises. Through her research, Ms. Ragin-Skorecka aims to bridge the gap between theoretical frameworks and practical applications, contributing to the advancement of industry practices and fostering collaboration between academia and industry.

Skills:

Ms. Katarzyna Ragin-Skorecka possesses a diverse skill set that enhances her contributions to both academia and industry. She excels in process analysis, integrating ICT solutions in business management, and developing digital procurement processes. Her technical expertise includes managing information systems, process and project management in enterprises, and implementing Industry 4.0 technologies, particularly within the Smart Factory 4.0 Laboratory. Additionally, she is proficient in e-learning methodologies, overseeing the eLearning Team, and applying innovative IT solutions in education. Ms. Ragin-Skorecka’s skills also encompass effective collaboration with IT industry companies, leading research and development projects, and fostering practical applications of theoretical frameworks to improve organizational efficiency and effectiveness.

Publications:

Agile enterprise: A human factors perspective

  • Authors: K Ragin‐Skorecka
  • Journal: Human Factors and Ergonomics in Manufacturing & Service Industries
  • Year: 2016
  • Volume: 26
  • Issue: 1
  • Pages: 5-15
  • Citations: 38

Corporate identity

  • Authors: K Ragin-Skorecka
  • Publisher: Publishing House of Poznan University of Technology
  • Year: 2010
  • Citations: 12*

Skuteczność rynkowa organizacji: tożsamość, wizerunek, systemy informatyczne

  • Authors: D Motała, K Ragin-Skorecka, Z Włodarczak
  • Publisher: Wydawnictwo Politechniki Poznańskiej
  • Year: 2013
  • Citations: 11

Zarządzanie zakupami: poradnik

  • Authors: Ł Hadaś, G Klimarczyk, K Ragin-Skorecka, O Nexus
  • Publisher: Open Nexus
  • Year: 2014
  • Citations: 10

Organizacja procesów zakupowych a wzrost strategicznej rangi zakupów–wyniki badań

  • Authors: Ł Hadaś, K Ragin-Skorecka
  • Journal: Nauki o zarządzaniu
  • Year: 2017
  • Pages: 40-46
  • Citations: 6

Gry kierownicze

  • Authors: K Ragin-Skorecka, Z Włodarczak
  • Publisher: Wydawnictwo Politechniki Poznańskiej
  • Year: 2011
  • Citations: 6

Diagnoza tożsamości Wielkopolski

  • Authors: K Ragin-Skorecka
  • In: Wyrwicka MK (ed.), Tendencje rozwojowe Wielkopolski w kontekście …
  • Year: 2010
  • Citations: 5

Information is the key in optimization of transport processes

  • Authors: K Ragin-Skorecka, F Nowak
  • Journal: Information Systems in Management
  • Year: 2016
  • Volume: 5
  • Issue: 2
  • Pages: 227-236
  • Citations: 4

Analiza subregionów w Wielkopolsce w aspekcie wybranych cech tożsamości regionu

  • Authors: K Ragin-Skorecka
  • In: Wyrwicka MK (ed.), Budowa scenariuszy transformacji wiedzy wspierających …
  • Year: 2011
  • Citations: 4

Ocena wdrożenia systemów informatycznych–wyniki badań

  • Authors: J Pałasz, K Ragin-Skorecka
  • Journal: Zeszyty Naukowe Politechniki Poznańskiej. Organizacja i Zarządzanie
  • Year: 2017
  • Pages: 157-173
  • Citations: 3

 

Rajorshi Biswas | Link Flooding Attack | Best Researcher Award

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Dr. Rajorshi Biswas | Link Flooding Attack | Best Researcher Award

Assistant Professor at Penn State Berks, United States

Summary:

Dr. Rajorshi Biswas is a dedicated researcher specializing in computer networks and security, aiming to make a significant impact on both academic and industry communities. He holds a B.Sc. in Computer Science & Engineering from Bangladesh University of Engineering & Technology (BUET), completed in July 2014, and is pursuing a Ph.D. in Computer Science at Temple University, expected to be completed in July 2021. Dr. Biswas has a robust professional background, having volunteered as a network administrator at BracNet, worked as a programmer at Aamra Networks Ltd., and served as a teaching assistant for courses in C Programming Language, Software Design, and Android Programming at Temple University. His technical skills encompass a wide range of programming languages, frameworks, databases, and embedded systems. Dr. Biswas has also contributed to various professional projects, including loyalty systems, cloud storage solutions, and internet payment gateways. His research projects, funded by prestigious organizations such as the National Science Foundation and the Office of Naval Research, address critical issues in spectrum allocation, wireless access technologies, military defense, and cyber forensics. Dr. Biswas’s commitment to advancing the field is further demonstrated by his peer-review work for IEEE journals and his mentorship of undergraduate students.

Profile:

Education:

Dr. Rajorshi Biswas holds a B.Sc. in Computer Science & Engineering from Bangladesh University of Engineering & Technology (BUET), where he graduated in July 2014. He pursued his doctoral studies at Temple University, aiming to complete his Ph.D. in Computer Science by July 2021. His educational journey has equipped him with extensive knowledge and expertise in programming techniques, computer architecture, principles of data management, cloud computing, ad hoc networks, operating systems, computer vision, pervasive and mobile systems, distributed systems, computer networking, machine learning, and data-intensive and cloud computing.

Professional Experience:

Dr. Rajorshi Biswas has gained extensive professional experience in both academic and industry settings. From 2012 to 2014, he volunteered as a networks administrator at BracNet, where he developed foundational skills in network management. Following this, he worked as a programmer at Aamra Networks Ltd., Bangladesh, from September 2014 to July 2016, contributing to various software development projects. Since August 2016, Dr. Biswas has been working as a teaching assistant at Temple University, where he has taught courses in C Programming Language, Software Design, and Android Programming. His diverse professional background has equipped him with a comprehensive skill set in programming, network administration, and teaching, making him a valuable asset in both academic and professional environments.

Research Interests:

Dr. Rajorshi Biswas’s research interests lie at the intersection of computer networks and security, with a focus on advancing these fields to benefit both academic and industry communities. He is particularly interested in the study of spectrum allocation efficiency and operation privacy in dynamic spectrum access systems, the coexistence of heterogeneous wireless access technologies, and the development of moving target defense strategies in military organizations. Additionally, Dr. Biswas is engaged in research on cyber forensics toolkits for machinery control, exploring innovative solutions to enhance cybersecurity measures. His work aims to address critical challenges in network security and contribute to the development of robust and efficient systems.

Skills:

Dr. Rajorshi Biswas possesses a diverse set of skills that span across multiple programming languages, frameworks, databases, and embedded systems. His programming expertise includes proficiency in C/C++, Java, PHP, JavaScript, C#, Python, and Android development. He is well-versed in frameworks such as Ajax, CodeIgniter, HMVC CodeIgniter, ASP.NET (MVC), JSP, OpenGL, MapReduce, and MPI. Dr. Biswas has significant experience working with databases like Oracle and MySQL, as well as embedded systems such as Arduino and Atmega32. Additionally, he is skilled in using tools and technologies like Hadoop, Spark, Linux, Cisco Packet Tracer, NS3, and Matlab. His capabilities extend to implementing Linux system calls, driver implementation, and managing shared memory operations, showcasing a comprehensive technical skill set suitable for a wide range of applications in computer science and engineering.

Awards:

Dr. Rajorshi Biswas has been honored with several awards and recognitions for his academic and research contributions. In 2018, he received the prestigious Summer Research Fellowship from Temple University. He has also been actively involved in the academic community as a peer reviewer, evaluating numerous papers for esteemed journals such as IEEE Communication Letters, IEEE Transactions on Communications, and Transactions on Network Science and Engineering. His commitment to excellence in research and academia is reflected in these significant accolades.

Publications:

 

Paulo Alexandre Figueiredo Dos Santos | Disaster Prepardness | Best Researcher Award

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Prof Dr. Paulo Alexandre Figueiredo Dos Santos | Disaster Prepardness | Best Researcher Award

Professor at Universidade Católica Portuguesa,Portugal

Summary:

Prof. Dr. Paulo Alexandre Figueiredo dos Santos is a distinguished academic and healthcare professional affiliated with the Escola Superior de Saúde da Cruz Vermelha Portuguesa (ESSCVP) in Lisbon, where he serves as a Professor Adjunto. He holds a Ph.D. in Nursing Education and a Master’s degree in Disaster Medicine. Additionally, he earned a Licentiate degree in Nursing and is a specialist in Medical-Surgical Nursing with advanced skills in Pre-Hospital Emergency Care. Prof. Dr. dos Santos has also completed post-doctoral work in Simulation in Nursing Education and holds a Postgraduate degree in Forensic Nursing. His extensive professional experience includes roles as an emergency nurse, occupational health advisor, and firefighter officer, alongside various academic positions at prominent institutions in Portugal.

Profile:

Education:

Prof. Dr. Paulo Alexandre Figueiredo dos Santos has a comprehensive educational background that has significantly contributed to his expertise in nursing and healthcare education. He earned his Ph.D. in Nursing Education from Universidade Católica Portuguesa. He holds a Master’s degree in Disaster Medicine from Universidade do Porto Instituto de Ciências Biomédicas Abel Salazar. His foundational education includes a Licentiate degree in Nursing from Escola Superior de Enfermagem de São Vicente de Paulo. In addition to his formal degrees, Prof. Dr. dos Santos has specialized training in Medical-Surgical Nursing with a focus on Pre-Hospital Emergency Care and has completed a Postgraduate degree in Forensic Nursing. He has further enhanced his qualifications with post-doctoral work in Simulation in Nursing Education. Prof. Dr. dos Santos has also undertaken various professional development courses, including advanced cardiovascular life support, immediate life support, and trauma life support, among others, which underscore his commitment to continuous learning and professional growth in the field of nursing and emergency care.

Professional Experience:

Prof. Dr. Paulo Alexandre Figueiredo dos Santos has amassed extensive professional experience in nursing and healthcare education. He is currently serving as an Adjunct Professor at Escola Superior de Saúde da Cruz Vermelha Portuguesa in Lisbon, a position he has held since September 2020. Prior to this, he was an Adjunct Guest Professor at Instituto Politécnico de Leiria from 2017 to 2021 and an Assistant Guest Professor at Universidade Católica Portuguesa from 2009 to May 2021. His practical experience includes working as an Emergency Nurse and Occupational Health Advisor at Europ Assistance Group in Paris from 2014 to April 2016, and serving as a Generalist/Specialist Nurse in the Intensive Care Unit at Hospital Garcia de Orta EPE in Almada from 2003 to 2014. Additionally, he has worked in various capacities, including roles at Hospital São Francisco Xavier and Hospital de Santa Marta in Lisbon. Prof. Dr. dos Santos has also contributed significantly to emergency and disaster response as a Firefighter Officer and Deputy Commander at Corpo da Associação Humanitária dos Bombeiros Mistos do Seixal from 2006 to 2016. His diverse roles reflect his dedication to both the practical and educational aspects of nursing and healthcare.

Research Interests:

Prof. Dr. Paulo Alexandre Figueiredo dos Santos has a profound interest in advancing nursing education through innovative teaching methodologies and curriculum development. His research focuses extensively on medical-surgical nursing, particularly in emergency and critical care settings, aiming to improve patient outcomes through specialized care practices. Additionally, he explores the realm of disaster medicine, investigating effective strategies for managing medical emergencies and optimizing response protocols. His expertise also extends to forensic nursing, where he applies forensic techniques to enhance healthcare practices. Moreover, Dr. Figueiredo dos Santos has a keen interest in simulation-based education, leveraging simulations to enhance learning outcomes and prepare nursing professionals for real-world challenges. These research interests underscore his commitment to advancing nursing knowledge and practice, contributing significantly to the field’s development and education.

Skills:

Prof. Dr. Paulo Alexandre Figueiredo dos Santos brings a wealth of skills and expertise honed through his extensive academic background and professional experience in nursing and healthcare. With a focus on medical-surgical nursing, emergency and disaster medicine, and forensic nursing, he excels in delivering specialized care in critical and emergency settings. His proficiency extends to simulation-based education, where he designs innovative learning strategies to enhance nursing education outcomes. Dr. Figueiredo dos Santos is adept at curriculum development, ensuring alignment with modern healthcare practices and educational standards. He is committed to patient safety and care quality, employing evidence-based practices and fostering continuous improvement. As a seasoned educator and mentor, he guides nursing students and healthcare professionals, nurturing their clinical competencies and professional growth. His research acumen is evident in his contributions to scholarly publications, advancing nursing knowledge. Driven by a passion for emergency response coordination, he leads efforts to streamline healthcare protocols and optimize patient management. Known for his collaborative spirit, he engages effectively with interdisciplinary teams to achieve comprehensive patient care solutions.

Publications:

Cognitive maturity of Portuguese nursing students to intervene in disasters: initial training contribution

  • Authors: Paulo Alexandre Figueiredo dos Santos, Rui Carlos Negrão Baptista, Verónica Rita Dias Coutinho, Isabel Cristina Mascarenhas Rabiais
  • Journal: Revista da Escola de Enfermagem da USP
  • Year: 2024
  • DOI: 10.1590/1980-220x-reeusp-2023-0364en
  • Source Work ID: cv-prod-id-4304362

Maturidade cognitiva do estudante de enfermagem Português para intervir em desastres: contribuição da formação inicial

  • Authors: Paulo Alexandre Figueiredo dos Santos, Rui Carlos Negrão Baptista, Verónica Rita Dias Coutinho, Isabel Cristina Mascarenhas Rabiais
  • Journal: Revista da Escola de Enfermagem da USP
  • Year: 2024
  • DOI: 10.1590/1980-220x-reeusp-2023-0364pt
  • Source Work ID: cv-prod-id-4306062

Simulação e cooperação interdisciplinar e interinstitucional: desenvolvimento de competências do estudante de enfermagem em desastres

  • Authors: Santos, Paulo Alexandre Figueiredo dos; Batista, Rui Carlos Negrão; Coutinho, Verónica Rita Dias; Rabiais, Isabel Cristina Mascarenhas
  • Journal: Escola Anna Nery
  • Year: 2023
  • DOI: 10.1590/2177-9465-ean-2022-0077pt
  • Source Work ID: cv-prod-id-4304412
  • ISSN: 2177-9465, 1414-8145

Contributions of Artificial Intelligence to Decision Making in Nursing: A Scoping Review Protocol

  • Authors: Filipe Fernandes, Paulo Santos, Luís Sá, José Neves
  • Journal: Nursing Reports
  • Year: 2023
  • DOI: 10.3390/nursrep13010007

Perfil de competências transversais dos estudantes de Enfermagem para intervir em situações de catástrofe

  • Authors: Paulo Alexandre Figueiredo dos Santos, Isabel Cristina Mascarenhas Rabiais, Leila Miriam Conde Faria Sales, Carolina Miguel Graça Henriques
  • Journal: Revista Brasileira de Enfermagem
  • Year: 2022
  • DOI: 10.1590/0034-7167-2021-0760pt
  • Source Work ID: cv-prod-id-4306063

 

Samira Karimaei | Microbiology | Best Researcher Award

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Dr. Samira Karimaei | Microbiology | Best Researcher Award

Department of Microbiology at Tehran university of Medical Sciences, Iran

Summary:

Dr. Samira Karimaei is a distinguished researcher in the field of medical bacteriology. She earned her Ph.D. in Medical Bacteriology from Tehran University of Medical Sciences in 2021, having previously completed her M.Sc. in Medical Microbiology at Iran University of Medical Sciences in 2016, where she graduated with the highest honors. Dr. Karimaei also holds a B.Sc. in Biology from Arak University, completed in 2012. Her research interests focus on food microbiology, probiotics, antibiotic resistance, toxin-antitoxin systems, persister cells, and microbiota. She has been recognized for her outstanding academic achievements, including ranking first in her department for both her M.Sc. and Ph.D. degrees and securing top positions in national entrance examinations. Dr. Karimaei possesses extensive laboratory skills and has contributed significantly to scientific research through various projects and publications. Her work includes studies on the antimicrobial effect of nanoliposomes containing saffron crocin, the role of toxin-antitoxin systems in persister cell formation, and the synergistic effects of viral combinations on cancer cells. Her commitment to advancing knowledge in medical microbiology is evident through her numerous accolades and ongoing research endeavors.

Profile:

Education:

Dr. Samira Karimaei has an impressive academic record with a Ph.D. in Medical Bacteriology from Tehran University of Medical Sciences, Tehran, Iran (2016-2021). She completed her M.Sc. in Medical Microbiology at Iran University of Medical Sciences, Tehran, Iran (2014-2016), where she achieved the highest rank in her department and excelled in her national Ph.D. entrance examination. Dr. Karimaei also holds a B.Sc. in Biology from Arak University, Arak, Iran (2007-2012).

Professional Experience:

Dr. Samira Karimaei has amassed extensive professional experience in the field of medical bacteriology. She has conducted significant research projects, including investigating the antimicrobial effects of free Beta-glucan and its liposomal form on Salmonella enteritidis and Salmonella typhimurium, evaluating the cytotoxic and antimicrobial effects of nanoliposomes containing saffron crocin on foodborne pathogenic bacteria, and assessing the synergistic effect of the combination of measles and mumps viruses on the survival and death rates of bladder and prostate cancer cells. Dr. Karimaei’s Ph.D. thesis focused on determining the frequency of type II toxin-antitoxin systems in Staphylococcus aureus isolates and assessing their role in persister cell formation and biofilm production. She has also contributed to the phenotypic and genotypic identification of mutators in Pseudomonas aeruginosa isolates recovered from cystic fibrosis patients. Her expertise extends to the evaluation of cytotoxic effects of nisin on kidney and bladder cancer cells and the assessment of apoptotic gene expression in these cells. Dr. Karimaei’s work has been published in esteemed scientific journals, reflecting her dedication to advancing medical microbiology and bacteriology research.

Research Interests:

Dr. Samira Karimaei’s research interests are centered around medical microbiology, with a particular focus on food microbiology, probiotics, and antibiotic resistance. She is deeply invested in exploring the toxin-antitoxin systems, persister cells, and microbiota. Her work includes phenotypic identification of clinical bacteria, molecular typing, gene expression studies, and the development of innovative methods for combating bacterial infections. Dr. Karimaei is also interested in the antimicrobial properties of natural substances and their potential applications in enhancing food safety and medical treatments.

Skills:

Dr. Karimaei possesses a diverse skill set in laboratory techniques such as PCR, multiplex PCR, real-time PCR, and pulsed-field gel electrophoresis (PFGE). She is proficient in nucleic acid preparation, cell culture, ELISA, MTT assay, and various computer software packages, including Microsoft Office, EndNote, BioEdit, GraphPad Prism, Gene Runner, Mega6, and SnapGene.

Awards and Honors:

Throughout her academic journey, Dr. Karimaei has received numerous accolades. She was a gold medalist in her M.Sc. program, ranked 1st in the Microbiology Department for both her M.Sc. and Ph.D. degrees, and achieved top ranks in national entrance examinations. Her commitment to academic excellence is further evidenced by her high grade point averages in both her master’s and doctoral programs.

Publications:

Jothimani S | Diagonestics | Best Researcher Award

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Mrs. Jothimani S | Diagonestics | Best Researcher Award

Assistant Professor at Bannari amman institute of technology, India

Summary:

Mrs. Jothimani S is a dedicated academic professional currently serving as an Assistant Professor at Bannari Amman Institute of Technology. She is pursuing a Ph.D. in Applied Mathematics from Anna University, Chennai, and holds an M.Tech. in Mainframe Technology from the same university, where she graduated with distinction. Her Bachelor of Engineering degree in Computer Science and Engineering was awarded by Anna University, Chennai. With over a decade of teaching experience, Mrs. Jothimani has held various academic positions, including roles at Nehru Institute of Engineering and Technology, Sri Ranganathar Institute of Polytechnic College, and Gandhi Polytechnic College. She is an active member of several professional bodies and has participated in numerous workshops and seminars focused on advanced research methodologies, machine learning, and artificial intelligence. Her commitment to education and professional development has earned her multiple awards and recognitions, including appreciation for her contributions to the National Board of Accreditation and the National Assessment and Accreditation Council. Mrs. Jothimani is passionate about expanding her knowledge and providing exceptional teaching to her students.

Profile:

Education:

Mrs. Jothimani S is currently pursuing a Ph.D. in Applied Mathematics from Anna University, Chennai, with her confirmation successfully completed. She holds an M.Tech. in Mainframe Technology from Anna University, Chennai, where she graduated in 2013 with a second rank and first class with distinction, achieving an impressive 94% aggregate. Her Bachelor of Engineering degree in Computer Science and Engineering was awarded by Anna University, Chennai, in 2009, where she graduated with a 75% aggregate, also earning a first class with distinction. Prior to her higher education, Mrs. Jothimani completed her Higher Secondary education at St. Francis Xavier’s Higher Secondary School, Sathy, in 2005, securing a 92% aggregate and second rank. She completed her SSLC at St. John De Britto Girls High School, Sathy, in 2003 with a 95% aggregate, achieving first rank.

Professional Experience:

Mrs. Jothimani S has garnered extensive experience in academia, currently serving as an Assistant Professor at Bannari Amman Institute of Technology since 2020. Prior to this role, she was an Assistant Professor at Nehru Institute of Engineering and Technology from 2013 to 2020, where she spent seven years fostering academic excellence. Before that, she worked as a Lecturer at Sri Ranganathar Institute of Polytechnic College from 2010 to 2013, and held the position of Head of Department in charge at Gandhi Polytechnic College from 2009 to 2010. Throughout her career, Mrs. Jothimani has shown a steadfast commitment to education, contributing significantly to the academic and professional development of her students and colleagues.

Research Interests:

Mrs. Jothimani S’s research interests encompass a broad spectrum of advanced topics within the field of computer science and engineering. She is particularly focused on machine learning, artificial intelligence, and their applications in various domains. Her work also delves into advanced research methodologies, emphasizing the development of innovative techniques and strategies to enhance the effectiveness and efficiency of computational systems. Mrs. Jothimani is dedicated to exploring the potential of these technologies to solve complex real-world problems, contributing to the advancement of knowledge and practice in her field.

Skills:

Mrs. Jothimani S possesses a diverse set of skills that enhance her effectiveness as an educator and researcher in computer science and engineering. Her technical proficiency includes programming languages such as Python, C, C++, and Advanced JAVA. She is adept at using LaTeX for document preparation and has experience with various machine learning and artificial intelligence frameworks. Additionally, Mrs. Jothimani has strong analytical and problem-solving skills, which she applies to her research and teaching. Her ability to adapt to new technologies and methodologies, combined with her commitment to continuous learning and professional development, enables her to provide exceptional guidance and support to her students and colleagues.

Awards and Honors:

Mrs. Jothimani S has been recognized for her dedication and excellence in academia through various awards and honors. She received appreciation for her contributions to the National Board of Accreditation at Nehru Institute of Engineering and Technology in 2020. In 2018, she was awarded the EDUPRENEUR 2018 award for her active role in strengthening the institution. Her efforts in the National Assessment and Accreditation Council (NAAC) were also acknowledged with an appreciation. Additionally, she achieved above 100% results in Computer Programming and Advanced Computer Architecture during the academic year 2015-2016, earning her further recognition. Her exceptional performance in Professional Ethics and Computer Graphics during the 2014-2015 academic year, as well as her consistent excellence in Computer Programming in 2014-2015, were also highly commended.

Publications:

THFN: Emotional health recognition of elderly people using a Two-Step Hybrid feature fusion network along with Monte-Carlo dropout

  • Authors: S. Jothimani, K. Premalatha
  • Journal: Biomedical Signal Processing and Control
  • Volume: 86
  • Article Number: 105116
  • Year: 2023
  • Citations: 4

MFF-SAug: Multi feature fusion with spectrogram augmentation of speech emotion recognition using convolution neural network

  • Authors: S. Jothimani, K. Premalatha
  • Journal: Chaos, Solitons and Fractals
  • Volume: 162
  • Article Number: 112512
  • Year: 2022
  • Citations: 35

Design of Various Modulation Schemes using DDS

  • Authors: S. Jothimani, A. Narmadha, C. Santhiya, S.S. Priya
  • Conference: 7th International Conference on Computing Methodologies and Communication, ICCMC 2023
  • Year: 2023
  • Citations: 2

Intelligent False Data Injection Attack Detection Using Soft Computing in Cyber-Physical Power Systems

  • Authors: P. Nilesh Khairnar, K.V. Bindu, M.A. Ala Walid, B. Subha, A. Srivastava
  • Conference: 7th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2023
  • Pages: 1439–1444
  • Year: 2023
  • Citations: 0

An Intelligent Bayesian Optimization with Stacked BiLSTM Model for Air Quality Index Prediction

  • Authors: K. Manikandan, R. Rajkumar, P. Jayanthi, R. Venkatesh, S. Govinda Rao
  • Conference: 5th International Conference on Inventive Research in Computing Applications, ICIRCA 2023
  • Pages: 1699–1704
  • Year: 2023
  • Citations: 0

Samiulla Itoo | Cryptographic Techniques | Best Researcher Award

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Dr. Samiulla Itoo | Cryptographic Techniques | Best Researcher Award

Research Scholar at Jamia Millia Islamia, India

Summary:

Dr. Samiulla Itoo is an accomplished mathematician specializing in applied mathematics and cryptographic techniques. He earned his Ph.D. in Applied Mathematics from Jamia Millia Islamia, New Delhi, where his research focused on the design and analysis of authentication protocols using cryptographic techniques. Dr. Itoo also holds an M.Phil. in Mathematics from Dr. Bhimrao Ambedkar University, Agra, where he was a Gold Medallist, and a Master of Science in Mathematics from Jamia Millia Islamia. His academic journey began with a Bachelor of Science in Mathematics, Physics, Geography, and English from the University of Kashmir. Dr. Itoo has made significant contributions to the field through his research on secure and privacy-preserving authentication protocols for various applications, including smart agriculture, industrial sensor networks, and medical data sharing. His work has been published in prominent journals such as IEEE Access and Vehicular Communications. In addition to his research, Dr. Itoo has been recognized with the UGC Non-Net Fellowship from the Ministry of Electronics and Information Technology, Government of India. His expertise includes cryptographic techniques, authentication protocols, and their applications in sectors like smart grids, internet of things, and digital twin communication.

Profile:

Education:

Dr. Samiulla Itoo has a robust educational background in mathematics, beginning with a Bachelor of Science in Mathematics, Physics, Geography, and English from the University of Kashmir. He pursued his Master’s in Mathematics at Jamia Millia Islamia, New Delhi, from 2013 to 2016. Dr. Itoo further advanced his studies by earning an M.Phil. in Mathematics from Dr. Bhimrao Ambedkar University, Agra, from 2016 to 2019, where he was honored as a Gold Medallist. He completed his academic journey with a Ph.D. in Applied Mathematics from Jamia Millia Islamia, New Delhi, from 2019 to 2023, focusing on the design and analysis of authentication protocols using cryptographic techniques.

Professional Experience:

Dr. Samiulla Itoo has amassed a wealth of professional experience in the field of applied mathematics and cryptographic techniques. Since June 2019, he has been actively involved in designing and analyzing authentication protocols at Jamia Millia Islamia, New Delhi. His work focuses on developing secure authentication methods for various sectors including the medical field, smart grids, the Internet of Electric Things, digital twin communication, and smart homes. He is guided by Dr. Musheer Ahmad, a Professor in the Department of Applied Sciences and Humanities at Jamia Millia Islamia. Prior to this, from July 2017 to July 2019, Dr. Itoo conducted research on fuzzy mathematics and its applications at Dr. Bhimrao Ambedkar University, Agra, under the supervision of Dr. Sanjeev Kumar. His efforts have consistently contributed to advancing the security and efficiency of authentication protocols in critical technological domains.

Research Interests:

Dr. Samiulla Itoo’s research interests encompass a wide range of topics in applied mathematics and cryptography. His primary focus lies in the design and analysis of authentication protocols using cryptographic techniques. He is particularly interested in developing secure and efficient authentication methods for applications in various sectors such as the medical field, smart grids, Internet of Electric Things, digital twin communication, and smart homes. His research extends to the areas of fuzzy mathematics and its applications, where he has made significant contributions. Dr. Itoo is dedicated to enhancing the security and reliability of systems through innovative cryptographic solutions, addressing the challenges posed by emerging technologies and complex network environments.

Skills:

Dr. Samiulla Itoo possesses a diverse skill set that spans programming, mathematical analysis, and cryptographic techniques. His skills include proficiency in programming languages such as Python, C, C++, and Advanced JAVA, which are essential for developing and implementing cryptographic algorithms and mathematical models. Dr. Itoo is adept at using LaTeX for document preparation, crucial for academic publications and technical reports. His expertise also extends to the design and analysis of authentication protocols using cryptographic techniques, demonstrating his strong theoretical and practical understanding of cybersecurity principles. Moreover, Dr. Itoo has hands-on experience in fuzzy mathematics, contributing to his ability to tackle complex problems in applied mathematics and cryptography effectively.

Fellowships & Awards:

2019–2022: UGC Non-Net Fellowship of Ministry of Electronics and Information Technology (MeitY), Government of India, as a PhD research scholar in Jamia Millia Islamia.

Academic Achievements & Recognitions:

2019: Gold Medallist in M.Phil. Mathematics, Department of Mathematics, Dr. Bhimrao Ambedkar University, Agra.

Publications:

kassem Danach | Machine Learning | Excellence in Research

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Assoc Prof Dr. kassem Danach | Machine Learning | Excellence in Research

Associate Professor at Department of Information Technology and Management Systems, Faculty of Business Administration, Al Maaref University, Lebanon

Summary:

Assoc. Prof. Dr. Kassem Danach is an accomplished academic and researcher with a diverse background in computer and telecommunication engineering, business analytics, and big data. He is currently the Chairperson of the Information Technology and Management Systems Department at Al Maaref University, where he oversees academic and administrative matters, curriculum development, and faculty management. Dr. Danach completed his Ph.D. in Computer and Telecommunication Engineering at École Centrale de Lille, France, and has a postdoctoral research experience in Business Analytics from Université d’Artois, France. His research interests span operational research, business analytics, logistics, supply chain, heuristics, bioinformatics, virtual network functions, cyber-attacks, and optimization. Dr. Danach has held various academic positions at the Islamic University of Lebanon and has extensive experience in teaching, research supervision, and conference activities. He is also skilled in data science, programming, data analytics, data visualization, database administration, and online teaching. Dr. Danach is a reviewer for several prestigious conferences and scientific journals.

Profile:

Education:

Assoc. Prof. Dr. Kassem Danach has an extensive educational background. He completed a postdoctoral research program in Business Analytics at Université d’Artois, Bethune, France, from November 2020 to December 2021. He earned his Ph.D. in Computer and Telecommunication Engineering from École Centrale de Lille, France, in December 2016. Dr. Danach holds multiple Master II degrees: one in Big Data Analytics from ISAE (le CNAM Liban), expected to certify in March 2022; another in Network Engineering from the Islamic University of Lebanon, completed in 2014; and a third in Management Information Systems (MIS) from the Islamic University of Lebanon, completed in 2013. Additionally, he earned a Bachelor of Engineering in Computer and Telecommunication Engineering from the Islamic University of Lebanon in June 2008. Dr. Danach’s doctoral thesis, titled “Hyperheuristics in Logistics,” focused on the application of artificial intelligence in optimizing logistics problems through the development and comparison of various hyperheuristic frameworks.

Professional Experience:

Assoc. Prof. Dr. Kassem Danach has a rich professional background that spans academia, research, and industry. He currently serves as the Chairperson of the Information Technology and Management Systems Department at Al Maaref University since September 2023, where he leads the department in academic and administrative matters, oversees curriculum development and faculty management, and drives research initiatives and collaborations. From November 2020 to December 2021, he was a Postdoctoral Researcher at Université d’Artois, France. At the Islamic University of Lebanon, he held multiple roles, including Head of the Computer Science Department from November 2020 to 2023, Head of the Management Information System Department from November 2018 to November 2020, and full-time Lecturer at the Faculty of Economics and Business Administration from December 2014 to November 2018. He also served as the Coordinator of the Management Information System Department (Tyr branch) from October 2011 to 2014. Dr. Danach co-founded TTO-Lebanon, where he was the General Manager from June 2015 to February 2017. Earlier in his career, he worked as a Network Engineer and Developer at Danach Co – Saida from June 2008 to March 2009. Since January 2017, he has been a trainer in various fields, including data science, programming, digital marketing, and artificial intelligence, at several training centers such as CUBICWIN, Edumotion, ASD, and Global Golden/Rainbow.

Research Interests:

Assoc. Prof. Dr. Kassem Danach’s research interests encompass a diverse array of fields. He is particularly focused on Operational Research, Business Analytics, Scheduling and Routing Problems, and Logistics and Supply Chain Management. His work delves into the development and application of various heuristic, meta-heuristic, math-heuristic, and hyper-heuristic methods. Dr. Danach is also interested in the areas of Bioinformatics and Virtual Network Functions. His research extends to cybersecurity, with an emphasis on cyber-attacks and optimization. This multidisciplinary approach allows him to address complex problems in both theoretical and practical aspects of these fields.

Skills:

Assoc. Prof. Dr. Kassem Danach possesses a comprehensive skill set across multiple domains. His operational research soft skills include proficiency with Solver (Excel Add-ins), Hyflex (Java Platform), GIIHH (Java Platform), and CPLEX (under JAVA). He is adept in programming languages such as VB .Net, C# .Net, ADO .Net, ASP.Net, Labview, Python, Advanced C, Advanced JAVA, JSP, Assembly, Prolog, and Matlab. In the realm of data analytics, Dr. Danach is skilled in R language, Keras Python, TensorFlow Python, Orange Data Mining, RapidMiner, Weka, and SPSS. His data visualization capabilities extend to Microsoft Power BI, Tableau, Matplotlib Python, and Google Analytics. As a database administrator, he has expertise in Microsoft SQL Server and MySQL. Additionally, Dr. Danach is proficient in online teaching tools such as Microsoft Teams, Zoom, Edmodo, OBS, Blogger, and MindMap. This diverse array of skills underpins his multifaceted approach to research, teaching, and professional practice in the field of Computer Science and Information Technology.

Reviewing and Editorial Work:

Dr. Danach is a respected reviewer for several prestigious conferences and scientific journals, including IEEE Intelligent Transportation Systems Transactions, the International Journal of Services and Standards (IJSS), LCIS 2017-2018, ICTO 2017-2018-2023-2024, ICCTA 2018-2019-2023-2024, and the Oriental Journal of Computer Science and Technology.

Awards & Honors:

Assoc. Prof. Dr. Kassem Danach has been recognized for his outstanding contributions to the field of Computer Science and Information Technology with several awards and honors. His achievements include multiple best paper awards at international conferences, highlighting the significant impact of his research. Dr. Danach has also been honored with prestigious grants and fellowships that have supported his innovative projects and academic pursuits. Additionally, he has received accolades for his exemplary teaching and mentorship, reflecting his dedication to fostering academic excellence and guiding the next generation of scholars and professionals. These honors underscore Dr. Danach’s commitment to advancing knowledge and making substantial contributions to his field.

Publications:

Hongwei Zhu | Cryptographic Implementations | Best Researcher Award

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Dr. Hongwei Zhu | Cryptographic Implementations | Best Researcher Award

Assistant Research Fellow of Tsinghua Shenzhen International Graduate School, Tsinghua University, China

Summary:

Dr. Hongwei Zhu is a postdoctoral fellow at Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China. He received his B.Sc. degree in Mathematics from Anqing Normal University in 2016, followed by an M.Sc. and Ph.D. in Mathematics from Anhui University in 2019 and 2023, respectively. His research interests lie in cryptography and coding theory. Dr. Zhu was funded by the China Scholarship Council (CSC) project to train with Professor Sihem Mesnager at the University de Paris VIII, France, from November 2021 to December 2022. He has actively participated in over 15 academic conferences, delivering a conference report at the 7th International Symposium on Coding and Cryptography in May 2023. Throughout his academic career, Dr. Zhu has received national scholarships and academic awards, contributing significantly to his field through numerous publications.

Profile:

Education:

Dr. Hongwei Zhu received his B.Sc. degree in Mathematics from Anqing Normal University, Anqing, China, in 2016. He then pursued his M.Sc. degree in Mathematics at Anhui University, Hefei, China, which he completed in 2019. Continuing his academic journey at Anhui University, he earned his Ph.D. degree in Mathematics in 2023. During his Ph.D. studies, Dr. Zhu was awarded funding from the China Scholarship Council (CSC) project, which facilitated his training with Professor Sihem Mesnager at the University de Paris VIII in France from November 2021 to December 2022, enriching his research with valuable international experience.

Professional Experience:

Dr. Hongwei Zhu is currently a postdoctoral fellow at Tsinghua Shenzhen International Graduate School, Tsinghua University, in Shenzhen, China. His academic journey began with a B.Sc. degree in Mathematics from Anqing Normal University in 2016, followed by an M.Sc. and Ph.D. in Mathematics from Anhui University, completed in 2019 and 2023, respectively. From November 2021 to December 2022, Dr. Zhu was funded by the China Scholarship Council (CSC) project and trained under Professor Sihem Mesnager at the University de Paris VIII, France, where he gained valuable international academic experience. His work primarily focuses on cryptography and coding theory. Over the past five years, he has actively engaged in the academic community, participating in over 15 conferences and delivering a notable conference report at the 7th International Symposium on Coding and Cryptography in May 2023. Dr. Zhu’s dedication to research and excellence has been recognized through various national scholarships and academic awards.

Research Interests:

Dr. Hongwei Zhu’s research interests lie in the fields of cryptography and coding theory. He focuses on various aspects of linear codes, cyclic codes, and their derivatives, including the weight spectrum, basic parameters, and asymptotic behavior. Dr. Zhu has made significant contributions to solving public problems related to the specific parameters of anti-primitive BCH codes, as well as studying the weight spectral cardinality of general linear codes under the Hamming metric. His work also involves analyzing the asymptotic goodness of derivative codes of several types of cyclic codes and investigating the weight problems of b-symbol pairs in irreducible cyclic codes and Kasami codes. Additionally, Dr. Zhu has systematically explored the parameters of cyclic codes derived from low differentially uniform functions, leading to important advancements in the field and earning him recognition for his research excellence.

Skills:

Dr. Hongwei Zhu possesses a diverse set of skills that complement his research in cryptography and coding theory. He is proficient in mathematical modeling and analysis, which are essential for his work on linear codes, cyclic codes, and their derivatives. Dr. Zhu has strong analytical skills, enabling him to solve complex problems related to the weight spectrum, basic parameters, and asymptotic behavior of codes. He is also experienced in the use of symmetric polynomials and attribute-based encryption for secure data exchange. Dr. Zhu is adept at conducting in-depth research and has a proven track record of publishing in high-impact journals and presenting at international conferences. His collaborative skills have allowed him to work effectively with researchers from various institutions, including his joint training with Professor Sihem Mesnager at the University de Paris VIII. Additionally, Dr. Zhu’s ability to integrate theoretical knowledge with practical applications makes him a valuable asset in the field of cryptography and coding theory.

Awards & Honors:

Dr. Hongwei Zhu has received several awards and honors in recognition of his outstanding contributions to the field of cryptography and coding theory. He was awarded national scholarships for graduate students, as well as academic scholarships for PhD students, highlighting his academic excellence. Dr. Zhu received funding from the China Scholarship Council (CSC) project from November 2021 to December 2022, which enabled him to gain valuable international experience by training with Professor Sihem Mesnager at the University de Paris VIII. He has actively participated in over 15 academic conferences, both domestically and internationally, and delivered a notable conference report at the 7th International Symposium on Coding and Cryptography in Xinxiang, Henan, in May 2023. His significant contributions to the study of cyclic codes from low differentially uniform functions led to his nomination for the “Best Researcher Award”. These recognitions attest to Dr. Zhu’s dedication, expertise, and impact in his field.

Publications:

Samsul Huda | Networks | Best Researcher Award

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Assist Prof Dr. Samsul Huda | Networks | Best Researcher Award

Green Innovation Center of Okayama University, Japan

Summary:

Assist. Prof. Dr. Samsul Huda is a distinguished academic and researcher currently serving as a Specially Appointed Assistant Professor at Okayama University, Japan. He earned his doctoral degree in Electronic Engineering from Okayama University, specializing in Raspberry Pi applications for educational and environmental systems. Dr. Huda also holds a master’s and bachelor’s degree in Electronic Engineering from the Polytechnic Institute of Surabaya, Indonesia, where he focused on secure data exchange and e-commerce security systems. His professional experience includes roles as an IT Lecturer at Universitas 17 Agustus 1945 Surabaya and a Data Analyst and IS Security Auditor for the Ministry of Education, Culture, Research, and Technology of Indonesia. Dr. Huda’s research interests span computer networks, data communication, computer security, and embedded systems. He has been recognized for his contributions to the field with several awards and has participated in numerous international conferences and research projects.

Profile:

Education:

Assist. Prof. Dr. Samsul Huda completed his doctoral studies in Electronic Engineering at Okayama University, Japan, from 2017 to 2020, where he focused on “A Study of Raspberry Pi Applications to Calligraphy Learning and Air Conditioning Guidance Systems.” He earned his master’s degree in Electronic Engineering from the Polytechnic Institute of Surabaya, Indonesia, between 2014 and 2016, with a thesis on “Secure Data Exchange in Mobile Adhoc Network using Attribute Based Encryption with H-MAC Authentication.” His academic journey began with a bachelor’s degree in Electronic Engineering from the same institute, completed in 2014, during which he researched “Implementation of E-Commerce Security System using Schnorr Digital Signature.”

Professional Experience:

Assist. Prof. Dr. Samsul Huda has a rich professional background in both academia and industry. He began his career as an IT Lecturer at Universitas 17 Agustus 1945 Surabaya, Indonesia, where he taught informatics engineering students from 2016 to 2022, focusing on subjects such as computer networks, data communication, and computer security. Concurrently, he has been serving as a Data Analyst and IS Security Auditor for the Ministry of Education, Culture, Research, and Technology of Indonesia since 2021, analyzing vocational education data and auditing information systems for security compliance. Currently, Dr. Huda holds the position of Specially Appointed Assistant Professor at Okayama University, Japan, where he engages in advanced research and teaching. His extensive experience in both teaching and practical applications of electronic engineering and information security underscores his expertise and dedication to the field.

Research Interests:

Assist. Prof. Dr. Samsul Huda’s research interests are centered around various aspects of electronic engineering and information technology. His focus areas include computer networks, data communication, and computer security. He is particularly interested in the implementation of secure data exchange systems, such as those using Attribute Based Encryption with H-MAC Authentication. Additionally, Dr. Huda explores the application of Raspberry Pi in innovative ways, including calligraphy learning and air conditioning guidance systems. His research also delves into the development of embedded systems for high-performance computing in educational settings, environmental health monitoring systems, and precision agriculture monitoring systems. Dr. Huda’s commitment to advancing technology and improving security measures in electronic systems is evident in his diverse and impactful research endeavors.

Skills:

Assist. Prof. Dr. Samsul Huda possesses a diverse skill set in the fields of electronic engineering and information technology. He is proficient in working with Mini-PCs such as Panda board, Fit-PC, and Raspberry Pi, and has extensive experience with microcontrollers and embedded systems, including Arduino and ESP-32. Dr. Huda is skilled in developing and implementing wireless sensor networks using products like libelium, waspmote, and meshlium, which can monitor various environmental factors such as temperature, humidity, luminosity, noise, and gas levels (CO2 and CO). His technical expertise extends to data analysis, IS security auditing, and the creation of innovative research projects like the MiniPhotoBot, high-performance computing clusters, and environmental health monitoring systems. This combination of skills enables Dr. Huda to contribute significantly to advancements in electronic engineering and IT security.

Awards & Honors:

Assist. Prof. Dr. Samsul Huda has received several notable awards and honors throughout his academic and professional career. He was an invited guest speaker at a Mini Talk Show held by the Directorate General of Vocational Education from Indonesia’s Ministry of Education in 2021. In 2019, he earned an Excellent Presentation Award at the Forum on Information Technology Encouragement. Dr. Huda also participated as a delegation in a student exchange program with Okayama University, Japan, in 2016. Additionally, he was recognized for the Best Poster at the International Electronics Symposium (IES) in 2015. These accolades reflect his significant contributions to the fields of electronic engineering and IT education.

Publications:

A prototype of monitoring precision agriculture system based on WSN

  • Authors: N. Fahmi, S. Huda, E. Prayitno, M.U.H. Al Rasyid, M.C. Roziqin
  • Conference: 2017 International Seminar on Intelligent Technology and Its Applications
  • Citations: 33
  • Year: 2017

Fuzzy Logic for an Implementation Environment Health Monitoring System Based on Wireless Sensor Network

  • Authors: N. Fahmi, S. Huda, A. Sudarsono, M.U.H. Al Rasyid
  • Journal: Journal of Telecommunication, Electronic and Computer Engineering (JTEC)
  • Citations: 17
  • Year: 2017

Secure data exchange in environmental health monitoring system through wireless sensor network

  • Authors: A. Sudarsono, S. Huda, N. Fahmi, M.U.H. Al-Rasyid, P. Kristalina
  • Journal: International Journal of Engineering and Technology Innovation
  • Volume: 6(2)
  • Pages: 103
  • Citations: 17
  • Year: 2016

Secure data exchange using authenticated Ciphertext-Policy Attributed-Based Encryption

  • Authors: S. Huda, A. Sudarsono, T. Harsono
  • Conference: Electronics Symposium (IES), 2015 International
  • Pages: 134-139
  • Citations: 13
  • Year: 2015

SECURE DATA SENSOR SHARING ON UBIQUITOUS ENVIRONMENTAL HEALTH MONITORING APPLICATION

  • Authors: S. Huda, N. Fahmi, A. Sudarsono, M.U.H. Al Rasyid
  • Journal: Jurnal Teknologi
  • Volume: 78(6-3)
  • Pages: 119-122
  • Citations: 12
  • Year: 2016

Raspberry Pi configuration for access-point and its throughput measurements in IEEE802.11n wireless networks

  • Authors: S.K. Debnath, N. Funabiki, K.S. Lwin, M.S.A. Mamun, R.W. Sudibyo, S. Huda
  • Journal: IEICE Technical Report; IEICE Tech. Rep.
  • Volume: 116(382)
  • Pages: 101-106
  • Citations: 10
  • Year: 2016

Secure Communication and Information Exchange using Authenticated Ciphertext Policy Attribute-Based Encryption in Mobile Ad-hoc Network

  • Authors: S. Huda, A. Sudarsono, T. Harsono
  • Journal: EMITTER International Journal of Engineering Technology
  • Volume: 4(1)
  • Pages: 115-140
  • Citations: 10
  • Year: 2016

Udiebot: Implementasi Inverse Kinematic pada Quadruped Robot

  • Authors: N.E. Khomariah, S. Huda
  • Journal: Journal of Computer Science and Visual Communication Design
  • Volume: 3(1)
  • Pages: 12-22
  • Citations: 9
  • Year: 2018

A proposal of air-conditioning guidance system using discomfort index

  • Authors: S. Huda, N. Funabiki, M. Kuribayashi, R.W. Sudibyo, N. Ishihara, W.C. Kao
  • Conference: Advances on Broad-Band Wireless Computing, Communication and Applications
  • Citations: 5
  • Year: 2021

An embedded system for applying high performance computing in educational learning activity

  • Authors: I.E.W. Rachmawan, N. Fahmi, E.W. Widodo, S. Huda, M.U. Pamenang
  • Journal: EMITTER International Journal of Engineering Technology
  • Volume: 4(1)
  • Pages: 46-64
  • Citations: 5
  • Year: 2016

Indu Radhakrishnan | Cryptography | Best Researcher Award

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Ms. Indu Radhakrishnan | Cryptography | Best Researcher Award

Research scholar at PES University, India

Summary:

Ms. Indu Radhakrishnan is a dedicated educator and researcher currently serving as a Research Scholar pursuing M.Tech by Research in the Department of Computer Science and Engineering at PES University. With over 13 years of teaching experience, she has contributed significantly to the field of computer science education. Her research focuses on Cryptography, particularly in IoT security. Ms. Radhakrishnan has held various academic roles, including Assistant Professor at PES University and Coordinator & Assistant Professor at Surana College Peenya Campus. She holds a Master of Computer Applications from VTU – PESSE and a Bachelor of Science from Bangalore University.

Profile:

Education:

Ms. Indu Radhakrishnan holds a Master of Computer Applications (MCA) degree from VTU – PESSE, which she completed in 2010. Prior to her postgraduate studies, she earned a Bachelor of Science (BSc) degree from Bangalore University in 2007.

Professional Experience:

Ms. Indu Radhakrishnan brings over 13 years of teaching experience in computer science and engineering. Her current role as a Research Scholar at PES University involves conducting advanced research in Cryptography, focusing on IoT security. Previously, she served as an Assistant Professor at PES University, where she played a pivotal role in guiding student projects and organizing academic events. Prior to that, Ms. Radhakrishnan served as Coordinator & Assistant Professor at Surana College Peenya Campus, overseeing curriculum development and administrative responsibilities. Her expertise spans programming, networks, web designing, and she has actively contributed to workshops and faculty development programs in the field.

Research Interests:

Ms. Indu Radhakrishnan’s research interests span the domains of computer science and engineering, with a particular focus on Cryptography and IoT security. Her work delves into advanced cryptographic techniques aimed at enhancing security measures in Internet of Things (IoT) environments. She explores topics such as secure communication protocols, data encryption methods, and cryptographic key management systems to address the evolving challenges of cybersecurity in interconnected IoT ecosystems. Her research aims to contribute to the development of robust and resilient security solutions for emerging technologies and applications.

Publications:

Efficiency and Security Evaluation of Lightweight Cryptographic Algorithms for Resource-Constrained IoT Devices

  • Authors: I. Radhakrishnan, S. Jadon, P.B. Honnavalli
  • Journal: Sensors
  • Year: 2024
  • Volume and Issue: 24(12)
  • Pages: 4008