                <p>                </p><p>                </p><p>                </p><p>                </p><p></p><p class="MsoListParagraphCxSpFirst" style="margin-top:0in;margin-right:0in;
margin-bottom:0in;margin-left:.25in;mso-add-space:auto;text-align:justify;
text-indent:-.25in;line-height:150%;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span style="font-family:" times="" new="" roman",serif;mso-fareast-font-family:"times="" roman""="">1.<span style="font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: " times="" new="" roman";"="">&nbsp;&nbsp;&nbsp;</span></span><span style="font-family:" times="" new="" roman",serif"="">Wondimu
Lambamo, Ramasamy Srinivasagan and <b>Worku Jifara</b>, Analyzing Noise
Robustness of Cochleogram and Mel Spectrogram Features in Deep Learning Based, Speaker
Recognition, Journal of Applied Science,&nbsp;
<a href="https://doi.org/10.3390/app13010569">https://doi.org/10.3390/app13010569</a>,
2022.<o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="margin-top:0in;margin-right:0in;
margin-bottom:0in;margin-left:.25in;mso-add-space:auto;text-align:justify;
text-indent:-.25in;line-height:150%;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span style="font-family:" times="" new="" roman",serif;mso-fareast-font-family:"times="" roman""="">2.<span style="font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: " times="" new="" roman";"="">&nbsp;&nbsp;&nbsp;&nbsp;
</span></span><!--[endif]--><span style="font-family:" times="" new="" roman",serif"="">Wondimu
Lambamo, Ramasamy Srinivasagan and <b>Worku Jifara</b> Speaker identification
under noisy conditions using hybrid convolutional neural network and gated
recurrent unit, <em><span style="color:black;mso-color-alt:windowtext;
background:whitesmoke">IAES International Journal of Artificial Intelligence
(IJ-AI)</span></em> <a href="http://doi.org/10.11591/ijai.v13.i1.pp1050-1062">http://doi.org/10.11591/ijai.v13.i1.pp1050-1062</a>.
<o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="margin-top:0in;margin-right:0in;
margin-bottom:0in;margin-left:.25in;mso-add-space:auto;text-align:justify;
text-indent:-.25in;line-height:150%;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span style="font-family:" times="" new="" roman",serif;mso-fareast-font-family:"times="" roman""="">3.<span style="font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: " times="" new="" roman";"="">&nbsp;&nbsp;&nbsp;&nbsp;
</span></span><!--[endif]--><span style="font-family:" times="" new="" roman",serif"="">Kidist
Alemayehu, <b>Worku Jifara</b> and Demissie Jobir, Attention-Based
Image-to-Video Translation for Synthesizing Facial Expression Using GAN, <span style="color:#323232">Journal of Electrical and Computer Engineering, 2023.</span><o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="margin-top:0in;margin-right:0in;
margin-bottom:0in;margin-left:.25in;mso-add-space:auto;text-align:justify;
text-indent:-.25in;line-height:150%;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span class="markedcontent"><span lang="DE" style="font-family:" times="" new="" roman",serif;="" mso-fareast-font-family:"times="" roman";mso-ansi-language:de"="">4.<span style="font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: " times="" new="" roman";"="">&nbsp;&nbsp;&nbsp;&nbsp;
</span></span></span><!--[endif]--><span class="markedcontent"><span style="font-family:" times="" new="" roman",serif"="">Tej Singh, Mukesh Kumar, Demissie
Jabir Gelmecha, Ganesh Kumar Thakur, Vikas Tyagi and Worku<b> Jifara Sori,</b>
lightweight identity based generalized signcryption scheme for secure
communication in standard model, </span></span><span style="font-family:" times="" new="" roman",serif;="" color:#323232"="">Int. j. inf. Technology, </span><span style="font-family: " times="" new="" roman",="" serif;="" color:="" rgb(85,="" 85,="" 85);="" background-image:="" initial;="" background-position:="" background-size:="" background-repeat:="" background-attachment:="" background-origin:="" background-clip:="" initial;"="">DOI</span><span class="markedcontent"><span style="font-family:" times="" new="" roman",serif"="">:10.1007/s41870-023-01666-0, 2023.</span></span><span class="markedcontent"><span lang="DE" style="font-family:" times="" new="" roman",serif;="" mso-ansi-language:de"=""><o:p></o:p></span></span></p><p class="MsoListParagraphCxSpMiddle" style="margin-top:0in;margin-right:0in;
margin-bottom:0in;margin-left:.25in;mso-add-space:auto;text-align:justify;
text-indent:-.25in;line-height:150%;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span style="font-family:" times="" new="" roman",serif;mso-fareast-font-family:"times="" roman""="">5.<span style="font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: " times="" new="" roman";"="">&nbsp;&nbsp;&nbsp;&nbsp;
</span></span><!--[endif]--><span class="markedcontent"><span style="font-family:" times="" new="" roman",serif"="">Lencho Desalegn and <b>Worku Jifara</b>,
</span></span><span style="font-family:" times="" new="" roman",serif;mso-bidi-font-weight:="" bold"="">HARA-GAN: Hybrid Attention and Relative Average Discriminator based
Generative Adversarial Network for MR, DOI: </span><span style="font-family: " times="" new="" roman",="" serif;="" color:="" black;="" background-image:="" initial;="" background-position:="" background-size:="" background-repeat:="" background-attachment:="" background-origin:="" background-clip:="" initial;"="">10.1109/ACCESS.2017.DOI,
2024.</span><span style="font-family:" times="" new="" roman",serif"=""><o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="margin-top:0in;margin-right:0in;
margin-bottom:0in;margin-left:.25in;mso-add-space:auto;text-align:justify;
text-indent:-.25in;line-height:150%;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span style="font-family:" times="" new="" roman",serif;mso-fareast-font-family:"times="" roman""="">6.<span style="font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: " times="" new="" roman";"="">&nbsp;&nbsp;&nbsp;&nbsp;
</span></span><!--[endif]--><span style="font-family:" times="" new="" roman",serif"="">Sifian
Kedir and <b>Worku jifara</b>, Detection of Emotions in Afan Oromo Social Media
Texts Using Deep Learning Method, <span style="color: black; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial;">Ethiopian Journal of Science and Sustainable Development</span>
, DOI:&nbsp; <a href="https://doi.org/10.20372/ejssdastu:v11.i1.2024.741">https://doi.org/10.20372/ejssdastu:v11.i1.2024.741</a>,
2024.<o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="margin-left:.25in;mso-add-space:
auto;text-align:justify;text-indent:-.25in;line-height:150%;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span style="font-family:" times="" new="" roman",serif;mso-fareast-font-family:"times="" roman""="">7.<span style="font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: " times="" new="" roman";"="">&nbsp;&nbsp;&nbsp;&nbsp;
</span></span><!--[endif]--><b><span style="font-family:" times="" new="" roman",serif"="">Worku Jifara</span></b><span style="font-family:" times="" new="" roman",serif"="">, Feng Jiang, Seungmin Rho, Maowei
Cheng, and Shaohui Liu, ”<b><i><span style="background:yellow;mso-highlight:
yellow">Medical image denoising using convolutional neural network: a residual
learning approach</span></i></b>”, Journal of Supercomputing (2017): 115., DOI:
https : //doi.org/10.1007/s11227−017−2080−0, <a href="https://link.springer.com/article/10">https://link.springer.com/article/10</a>.
1007%2Fs11227-017-2080-0, (<b>SCI, IF = 1.526</b>).<o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="margin-left:.25in;mso-add-space:
auto;text-align:justify;text-indent:-.25in;line-height:150%;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span style="font-family:" times="" new="" roman",serif;mso-fareast-font-family:"times="" roman""="">8.<span style="font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: " times="" new="" roman";"="">&nbsp;&nbsp;&nbsp;&nbsp;
</span></span><!--[endif]--><b><span style="font-family:" times="" new="" roman",serif"="">Worku Jifara</span></b><span style="font-family:" times="" new="" roman",serif"="">, Feng Jiang, and Shaohui Liu, “<b><i><span style="background:yellow;mso-highlight:yellow">Multi-path convolutional neural
network for lung cancer detection</span></i></b>”, Multidimensional Systems and
Signal Processing, Nov 2018, DOI: 10.1007/s11045−018−0626−9, (<b>SCI, IF = 2.38</b>). <o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="margin-left:.25in;mso-add-space:
auto;text-align:justify;text-indent:-.25in;line-height:150%;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span style="font-family:" times="" new="" roman",serif;mso-fareast-font-family:"times="" roman""="">9.<span style="font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: " times="" new="" roman";"="">&nbsp;&nbsp;&nbsp;&nbsp;
</span></span><!--[endif]--><b><span style="font-family:" times="" new="" roman",serif"="">Worku Jifara</span></b><span style="font-family:" times="" new="" roman",serif"="">, Feng Jiang, Bing Zhang, Huapeng
Wang, Jinsong Li, Aleksei Grigorev and Shaohui Liu, “<b><i>Hyperspectral image compression
based on online learning spectral features dictionary</i></b>”, Multimedia
Tools and Applications, 76(2) May 2017, DOI: 10.1007/s11042−017−4724−8, <a href="https://link.springer.com/article/10.%201007/s11042-017-4724-8">https://link.springer.com/article/10.
1007/s11042-017-4724-8</a>, (<b>SCI, IF =
1.530</b>).<o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="margin-left:.25in;mso-add-space:
auto;text-align:justify;text-indent:-.25in;line-height:150%;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span style="font-family:" times="" new="" roman",serif;mso-fareast-font-family:"times="" roman""="">10.<span style="font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: " times="" new="" roman";"="">&nbsp; </span></span><!--[endif]--><b><span style="font-family:" times="" new="" roman",serif"="">Worku
J. Sori</span></b><span style="font-family:" times="" new="" roman",serif"="">, Zhao
Dongyang, Lou Fang and Adil Khan, “<b><i>Entropy Based Sub Band Deletion for
Multispectral Image Compression</i></b>”, In The 2017 Paciﬁc-Rim Conference on
Multimedia, Volume: LNCS 10735, Part I, Guang Zhou, China, Sep 2017, DOI:
10.1007/978−3−319−77380−3, (<b>EI</b> <b>indexed</b>).<o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="margin-left:.25in;mso-add-space:
auto;text-align:justify;text-indent:-.25in;line-height:150%;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span style="font-family:" times="" new="" roman",serif;mso-fareast-font-family:"times="" roman""="">11.<span style="font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: " times="" new="" roman";"="">&nbsp; </span></span><!--[endif]--><b><span style="font-family:" times="" new="" roman",serif"="">Worku
J. SORI</span></b><span style="font-family:" times="" new="" roman",serif"="">, Jiang
FENG, Arero W. GODANA,&nbsp; Shaohui LIU,
Demissie J. GELMECHA, “<b><i><span style="background:yellow;mso-highlight:
yellow">DFD-Net: lung cancer detection from denoised CT scan image using deep
learning</span>”</i></b>, Front. Comput. Sci., Doi: <span style="color: black; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial;">10.1007/s11704-020-9050-z, Just
accepted manuscript.</span><o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="margin-left:.25in;mso-add-space:
auto;text-align:justify;text-indent:-.25in;line-height:150%;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span style="font-family:" times="" new="" roman",serif;mso-fareast-font-family:"times="" roman""="">12.<span style="font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: " times="" new="" roman";"="">&nbsp; </span></span><!--[endif]--><span style="font-family:" times="" new="" roman",serif"="">Feng Jiang, Aleksei Grigorev, Seungmin
Rho, Zhihong Tian, YunSheng Fu, <b>Worku
Jifara</b>, Adil Khan and Shaohui Liu, “<b><i><span style="background:yellow;mso-highlight:
yellow">Medical image semantic segmentation based on deep learning</span></i></b>”.
Neural Computing and Applications, July 2017, DOI: 10.1007/s00521−017−3158−6, (<b>SCI, IF = 2.47</b>). <o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="margin-left:.25in;mso-add-space:
auto;text-align:justify;text-indent:-.25in;line-height:150%;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span style="font-family:" times="" new="" roman",serif;mso-fareast-font-family:"times="" roman""="">13.<span style="font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: " times="" new="" roman";"="">&nbsp; </span></span><!--[endif]--><span style="font-family:" times="" new="" roman",serif"="">Maowei Cheng, <b>Worku J. Sori</b>, Feng Jiang, Adil Khan and Shaohui Liu, “<b><i>Recurrent
Neural Network Based Classiﬁcation of ECG Signal Features for Obstruction of
Sleep Apnea Detection</i></b>”, In Computational Science and Engineering (CSE)
and Embedded and Ubiquitous Computing (EUC), 2017 IEEE International Conference
on, Guang Zhou, China, July 2017, DOI: 10.1109/CSE − EUC.2017.220,
https://ieeexplore.ieee.org/document/8005997/ (<b>EI</b> <b>indexed</b>). <o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="margin-left:.25in;mso-add-space:
auto;text-align:justify;text-indent:-.25in;line-height:150%;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span style="font-family:" times="" new="" roman",serif;mso-fareast-font-family:"times="" roman""="">14.<span style="font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: " times="" new="" roman";"="">&nbsp; </span></span><!--[endif]--><span style="font-family:" times="" new="" roman",serif"="">Shaohui Liu Seungmin Rho, <b>Worku Jifara</b>, Feng Jiang and Chun Liu, “<b><i>A
hybrid framework of data hiding and encryption in H.264/SVC</i></b>”, Journal
of Discrete Applied Mathematics, 241, 2018, pp. 48-57 DOI: https://doi.org/10.1016/j.dam.2016.06.028,https://www.sciencedirect.com/science/article/pii/S01
6218X16303079, (<b>SCI, IF = 0.956</b>) <o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="margin-left:.25in;mso-add-space:
auto;text-align:justify;text-indent:-.25in;line-height:150%;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span style="font-family:" times="" new="" roman",serif;mso-fareast-font-family:"times="" roman""="">15.<span style="font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: " times="" new="" roman";"="">&nbsp; </span></span><!--[endif]--><span style="font-family:" times="" new="" roman",serif"="">Khan Adil, Feng Jiang, Shaohui
Liu*, <b>Worku Jifara</b>, Zhihong Tian and
Yunsheng Fu,“<b><i>State-of-the-Art and Open Challenges in RTS Game-AI and Star craft</i></b>”,
International Journal of Advanced Computer Science and Applications, Vol. 8,
No. 12, 2017 <o:p></o:p></span></p><p class="MsoListParagraphCxSpMiddle" style="margin-left:.25in;mso-add-space:
auto;text-align:justify;text-indent:-.25in;line-height:150%;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span style="font-family:" times="" new="" roman",serif;mso-fareast-font-family:"times="" roman""="">16.<span style="font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: " times="" new="" roman";"="">&nbsp; </span></span><!--[endif]--><span style="font-family:" times="" new="" roman",serif"="">Aleksei Grigorev, Feng Jiang,
Seungmin Rho, <b>Worku J. Sori</b>, Shaohui
Liu and Sergey Sai, “<b><i>Depth estimation from single monocular
images using deep hybrid network</i></b>”, Multimedia Tools and Applications,
76(18), 2017 DOI: https://doi.org/10.1007/s11042−016−4200−x, (<b>SCI, IF = 1.530</b>)\.<o:p></o:p></span></p><p class="MsoListParagraphCxSpLast" style="margin-left:.25in;mso-add-space:auto;
text-align:justify;text-indent:-.25in;line-height:150%;mso-list:l0 level1 lfo1"><!--[if !supportLists]--><span style="font-family:" times="" new="" roman",serif;mso-fareast-font-family:"times="" roman""="">17.<span style="font-variant-numeric: normal; font-variant-east-asian: normal; font-variant-alternates: normal; font-kerning: auto; font-optical-sizing: auto; font-feature-settings: normal; font-variation-settings: normal; font-variant-position: normal; font-stretch: normal; font-size: 7pt; line-height: normal; font-family: " times="" new="" roman";"="">&nbsp; </span></span><!--[endif]--><span style="font-family:" times="" new="" roman",serif"="">Adil Khan, Kai Yang, Yunsheng Fu,
Fang Lou <b>Worku Jifara</b>, Feng Jiang
and Liu Shaohui, “<b><i>A Competitive Combat Strategy and Tactics in RTS Games AI and Star
Craft</i></b>”, In The 2017 Paciﬁc-Rim Conference on Multimedia, Volume: LNCS
10735, Part I, Guangzhou, China, Sep2017, DOI:10.1007/978−3−319−77383− 41,
(EI).<o:p></o:p></span></p><p class="MsoListParagraphCxSpFirst" style="margin-top:0in;margin-right:0in;
margin-bottom:0in;margin-left:.75in;mso-add-space:auto;text-align:justify;
text-indent:-.25in;line-height:150%;mso-list:l0 level1 lfo1">

































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