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:

 

Jing Li | Deep Learning for Cybersecurity | Best Paper Award

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Dr. Jing Li | Deep Learning for Cybersecurity | Best Paper Award

 Researcher at University Technology Malaysia, China

Summary:

Dr. Jing Li is a dedicated computer scientist currently pursuing a PhD in Computer Science at University Technology Malaysia. His research interests encompass networking, Internet of Things, machine learning/deep learning, cybersecurity, and big data. He has achieved academic excellence, being awarded the International Doctoral Scholarship (IDF) for the periods 2022-2023 and 2023-2024. Dr. Li holds a Master’s degree in Information Management from Zhejiang University, where he was recognized with the First Prize for his entrance essay submission and conducted research on “Hangzhou Wireless City Construction Planning.” He completed his Bachelor’s degree in Computer Science and Technology at China Jiliang University, distinguished as a four-time scholarship recipient.

Profile:

Education:

Dr. Jing Li is currently pursuing a PhD in Computer Science at University Technology Malaysia, focusing on networking, Internet of Things, machine learning/deep learning, cybersecurity, and big data. He has been awarded the prestigious International Doctoral Scholarship (IDF) for the academic years 2022-2023 and 2023-2024. Prior to this, he earned a Master’s degree in Information Management from Zhejiang University, where he received the First Prize for his entrance essay submission and completed a thesis titled “Research on Hangzhou Wireless City Construction Planning.” Dr. Li also holds a Bachelor’s degree in Computer Science and Technology from China Jiliang University, where he was a four-time scholarship winner.

Professional Experience:

Dr. Jing Li brings a wealth of professional experience in the technology sector, having held significant roles across various organizations. He started his career as a Software Engineer at UTStarcom (China) Co., Ltd., where he gained foundational experience from June 2003 to June 2006. He then progressed to roles with increasing responsibility, serving as a Software Engineer/Product Architect at Aerohive Networks, Inc. from June 2006 to September 2014, focusing on networking solutions. Subsequently, Dr. Li joined ArcSoft (Hangzhou) Technology Co., Ltd. as a Product Architect from June 2014 to June 2018, where he contributed to product development and architecture. His entrepreneurial spirit led him to co-found Hangzhou Zijie Technology Co., Ltd., where he served as Technical Co-founder from June 2018 to 2021, involved in the strategic and technical leadership of the company. Throughout his career, Dr. Li has demonstrated expertise in Python, C++, and C, alongside a profound understanding of networking, Internet of Things, machine learning/deep learning, cybersecurity, and big data applications.

Research Interests:

Dr. Jing Li’s research interests are centered around several key areas in computer science and technology. His primary focus lies in networking, where he explores advancements in network protocols, architectures, and performance optimization. Dr. Li is also deeply engaged in the Internet of Things (IoT), investigating methods to enhance IoT device connectivity, security, and data management. His expertise extends to machine learning and deep learning applications, particularly in developing intelligent algorithms for data analysis and decision-making processes. Additionally, Dr. Li is passionate about cybersecurity, researching techniques to safeguard networks and IoT ecosystems from emerging threats. Finally, he explores big data analytics, aiming to develop scalable and efficient algorithms for processing and extracting valuable insights from large datasets.

Skills:

Dr. Jing Li is equipped with a comprehensive skill set that spans diverse areas within computer science and technology. His expertise includes advanced proficiency in networking, encompassing thorough knowledge of network protocols, architectures, and optimization strategies. Dr. Li demonstrates a deep understanding of Internet of Things (IoT), where he excels in enhancing device connectivity, ensuring robust security measures, and optimizing data management systems. His proficiency extends to machine learning and deep learning, where he develops and implements sophisticated algorithms for data analysis and decision-making tasks. Additionally, Dr. Li is adept in cybersecurity practices, employing effective techniques to safeguard networks and IoT environments from evolving threats. His skills in big data analytics enable him to design and implement scalable algorithms that efficiently process and derive valuable insights from large datasets. With fluency in programming languages such as Python, C++, and C, Dr. Li leverages his technical acumen to drive innovation and contribute significantly to research and development initiatives in his field.

Peer Reviewer in Journals:

Dr. Jing Li has served as a peer reviewer for prestigious journals in the fields of computer and electrical engineering. His expertise as a reviewer extends to journals such as Expert Systems With Applications, Knowledge-Based Systems, Journal of Ambient Intelligence and Humanized Computing, Journal on Internet of Things, International Journal of Electrical and Computer Engineering, International Journal on Data Science and Technology, and Journal of Applied Engineering and Technological Science. Through his role, Dr. Li contributes to maintaining the quality and integrity of research in these specialized domains, ensuring rigorous evaluation and feedback for scholarly publications.

Awards & Honors:

Dr. Jing Li has garnered significant recognition for his contributions in computer science and technology. He has served as a peer reviewer for esteemed journals including Expert Systems With Applications, Knowledge-Based Systems, and Journal of Ambient Intelligence and Humanized Computing, among others. In 2023, Dr. Li was appointed as a Professor Assistant for AI-SLR courses at UTM, showcasing his expertise and leadership in the field. His commitment to academic excellence is further underscored by his involvement in committees such as the EGE Committee Technical Team and PARS2023/2024 Committee Publication and Technical Team. In 2024, Dr. Li was honored with the Asian Youth Leaders Scholarship Award, reflecting his outstanding achievements and dedication to advancing research and education in computer and electrical engineering.

Publications:

Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning

  • Authors: J. Li, M.S. Othman, H. Chen, L.M. Yusuf
  • Journal: Journal of Big Data
  • Year: 2024
  • Volume and Issue: 11(1)
  • Pages: 36
  • Citations: 3

Enhancing IoT security: A comparative study of feature reduction techniques for intrusion detection system

  • Authors: J. Li, H. Chen, M.O. Shahizan, L.M. Yusuf
  • Journal: Intelligent Systems with Applications
  • Year: 2024
  • Volume and Issue: 23
  • Article Number: 200407
  • Citations: 0

A critical review of feature selection methods for machine learning in IoT security

  • Authors: J. Li, M.S. Othman, H. Chen, L.M. Yusuf
  • Journal: International Journal of Communication Networks and Distributed Systems
  • Year: 2024
  • Volume and Issue: 30(3)
  • Pages: 264-312
  • Citations: 0

Meray Medhat Shokry Zaghary | Cybersecurity Risk Assessment | Best Researcher Award

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Assoc Prof Dr. Meray Medhat Shokry Zaghary | Cybersecurity Risk Assessment | Best Researcher Award

Associate professor of clinical toxicology at Sohag University, Egypt

Summary:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary is an accomplished academic and medical professional specializing in clinical toxicology. Currently serving as a lecturer and consultant at Sohag University’s Faculty of Medicine in Egypt, she holds a Bachelor’s degree in Medicine and Surgery, a Master’s degree in Clinical Toxicology, and a Doctorate degree in Medicine with a focus on Clinical Toxicology. Dr. Zaghary is actively involved in research, training junior doctors, and organizing educational webinars and conferences in her field. Her expertise includes biostatistics, scientific writing, and the management of clinical toxicology cases.

Profile:

Education:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary pursued her academic journey at Sohag University, Egypt, where she achieved significant milestones in medicine and clinical toxicology. She obtained her Bachelor’s degree in Medicine and Surgery from the Faculty of Medicine at Sohag University in November 2011. Building upon this foundation, she completed a Master’s degree in Clinical Toxicology in June 2016. Driven by her passion for advancing her expertise, she went on to earn a Doctorate degree in Medicine with a specialization in Clinical Toxicology in January 2021. Her dedication to continuous professional development is evident through her additional diplomas, including Addiction and Psychological Health from the Freedom and Addiction Program in January 2019, Certified Biostatistics from MARS Global in R Program Statistics from January to August 2023, and Scientific Writing, International Publishing, and Statistical Analysis using SPSS Program Version 26 from Future Scientific Platform.

Professional Experience:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary has an extensive background in clinical toxicology, currently serving as a lecturer and Consultant in clinical toxicology at Sohag University, Faculty of Medicine since March 2021. In this role, she oversees critical care management, provides expert consultation, and conducts courses on first aid management. Prior to her current position, from August 2016 to March 2021, she worked as an Assistant Lecturer of clinical toxicology at Sohag University. During this period, she conducted numerous educational rounds and published two papers in 2020 related to her doctoral research on cardiac enzymes and ECG predictors of mortality in acute toxicity. Dr. Zaghary also holds a Master’s degree in clinical toxicology from Sohag University, where she served as a Demonstrator from April 2013 to August 2016, conducting clinical toxicological rounds and contributing to conferences and workshops in the field. Her professional journey includes certifications in digital transformation, preparing teachers, anticorruption, accreditation standards, statistical analysis in clinical research, and various scientific writing and research workshops.

Research Interest:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary’s research interests focus on various aspects of clinical toxicology, particularly in critical care management and the prediction of mortality in acute toxicity cases using cardiac enzymes and ECG. Her expertise also extends to drug abuse among university students, where she has published significant studies. Dr. Zaghary is actively involved in exploring advancements in toxicology treatment protocols, including workshops on Cardiopulmonary Resuscitation, Disaster and Crisis Management, and the application of SPSS in statistical analysis for clinical research. Her research endeavors aim to enhance understanding and improve outcomes in toxicology through rigorous scientific inquiry and practical applications.

Professional Skills:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary is an accomplished clinical toxicologist and experienced physician with a strong academic and professional background. She has successfully managed and treated a wide range of clinical toxicology cases, leveraging her extensive expertise and training. Dr. Zaghary is adept in biostatistics, proficiently using SPSS and R programs for advanced statistical analysis in clinical research. She plays a pivotal role as the administrator of the “Toxo Clinic” Telegram group, offering valuable consultations and referrals during the COVID-19 pandemic. Additionally, Dr. Zaghary is committed to medical education, where she excels as a trainer, imparting essential skills in first care management to junior doctors.

Awards and Honors:

Assoc. Prof. Dr. Meray Medhat Shokry Zaghary was awarded the Guild shield by the Doctors Syndicate in Sohag, Egypt, in recognition of her exceptional contributions to training junior doctors in the first care management of clinical toxicology cases. This prestigious honor was conferred on 29th March 2023, acknowledging her dedication and expertise in the field of clinical toxicology.

 

Publications:

 

Study of Drug Abuse among University Students in Sohag, Egypt

  • Authors: RAR Meray MS1, Ahmed FH2
  • Journal: Journal of Forensic, Toxicology and Medicolegal Analysis
  • Year: 2016
  • Volume: 1
  • Issue: 2
  • Pages: 19-23
  • Citations: 14

Validity of Vital Signs, Coma Scales and Modified APACHE Score in Prediction of Prognosis and Outcome of Acutely Poisoned Patients

  • Authors: MMS Zaghary, RA Radwan, RM Elsayed
  • Journal: The Egyptian Journal of Hospital Medicine
  • Year: 2021
  • Volume: 85
  • Issue: 1
  • Pages: 2758-2766
  • Citations: 7

Predictive Role of Cardiac Troponin I, Creatine Kinase-MB and Electrocardiogram in Early Assessment of Acute Cardiotoxicity in Patients Poisoned by Cardiotoxic Drugs and Toxins

  • Authors: MA Hilal, SED Mahmoud, MM Shokry, AM Said
  • Journal: Cardiology and Angiology: An International Journal
  • Year: 2020
  • Volume: 9
  • Issue: 3
  • Pages: 18-30
  • Citations: 4

Pattern and Outcome of Acute Aluminium Phosphide Intoxicated Cases at Sohag University Hospitals: Special Consideration to Paraffin Oil as a Supportive Treatment

  • Authors: M Abdelkader, RM Elsayed, MM Shokry
  • Journal: Zagazig Journal of Forensic Medicine
  • Year: 2023
  • Volume: 21
  • Issue: 1
  • Pages: 133-156
  • Citations: 2

Patterns and Outcomes of Acute Toxicological Cases Before, During, and After COVID-19 Lockdown in Sohag University Hospitals, Egypt

  • Authors: MM Shokry Zaghary, MM Abd ElKader, REA Mousa, AM Said
  • Journal: Toxicology Research
  • Year: 2024
  • Volume: 13
  • Issue: 2
  • Article: tfae061
  • Citations: 1

Predicting Outcome in Acute Cardiotoxicity Based on Glasgow Coma Scale (GCS) and Modified APACHE II Score (MAS)

  • Authors: M Shokry, M Hilal, S Abdalla, A Said
  • Journal: Ain Shams Journal of Forensic Medicine and Clinical Toxicology
  • Year: 2020
  • Volume: 35
  • Issue: 2
  • Pages: 39-48
  • Citations: 1

A Clinical Study and Laboratory Evaluation of the Cardiac and Hepatic Toxic Effects of Paraphenylenediamine

  • Authors: MM Abd ElKader, PA Mohamed Ismail, MA Abd El Ati, …
  • Journal: Clinical Toxicology
  • Year: 2024
  • Pages: 1-10

Case-Control Study of Intestinal Parasitic Infection in Hemodialysis Patients in Sohag Governorate

  • Authors: MR GabAllah, MMS Zaghary
  • Journal: The Egyptian Journal of Hospital Medicine
  • Year: 2023
  • Volume: 90
  • Issue: 2
  • Pages: 2245-2248

Toxicity and Complications of Long Term Use of Methotrexate in Sohag University Hospital: A Retrospective, Record Based Epidemiological Study

  • Authors: AM Said, AR Alagamy, MM Shokry
  • Journal: The Egyptian Journal of Hospital Medicine
  • Year: 2022
  • Volume: 89
  • Issue: 2
  • Pages: 6702-6706

Kratom Abuse as an Emerging Issue of Addiction, Overdose Toxicities and Deaths: A Review

  • Authors: M Zaghary
  • Journal: Ain Shams Journal of Forensic Medicine and Clinical Toxicology
  • Year: 2022
  • Volume: 39
  • Issue: 2
  • Pages: 39-47

Predictive Role of Cardiac Troponin I, Creatine Kinase-MB and Electrocardiogram in Early Assessment of Acute Cardiotoxicity in Patients Poisoned by Cardiotoxic Drugs and Toxins

  • Authors: MM Shokry
  • Institution: Sohag University
  • Year: 2018